Search

Purpose: This study aims to provide a better comprehension of the behavioural intentions that influence the adoption of Islamic financial technology (Fintech) in Malaysia for two kinds of Islamic lending Fintech services, which are crowdfunding and peer-to-peer (P2P) lending. Design/methodology/approach: From May to July 2022 the primary data were collected by using a questionnaire distributed online to survey 437 Islamic Fintech clients in Malaysia. Structural equation modelling has been used to analyse the data based on using the partial least squares approach. Findings: The findings of this paper shows that planned behaviour, acceptance model and technology's use models are positively impacting factors that influence customers' opinions on adapting Islamic Fintech services in lending. The acceptance model was found to exert a negative impact on the intention to adopt Islamic lending P2P Fintech service. In addition, technology's use has a negative impact on the intention to adopt Islamic lending crowdfunding Fintech service. Research limitations/implications: First, the study is limited to Islamic Fintech customers in Malaysia only, second, the study adopted an online survey but there is no guarantee that the geography area was fully covered. Another limitation is that the study covers only Islamic Fintech services in lending, thus the study did not attend to variables such as religiosity and the authors believe that this will provide useful insights for future research. Originality/value: Despite the importance of this topic, there has been a lack of empirical evidence until now. In this paper, the authors take stock of the empirical evidence in the literature through the importance of the adoption Fintech. This study provides a broad view of the market potentials for Fintech providers from the demand side on a wide range of Islamic Fintech services rather than focussing only on payment, transfer, etc. as presented in previous studies. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management (SCRM). Finally, future research directions in this field have been suggested. Design/methodology/approach: The papers were searched using a set of keywords in the SCOPUS database. These papers were filtered using the Title abstract keywords principle. Further, more papers were found using the forward-backward referencing method. The finalized papers were then classified into eight categories. Findings: The previous papers in AI and BDA in SCRM were studied. These papers emphasized various modelling and application techniques for AI and BDA in making the supply chain (SC) more resilient. It was found that more research has been done into conceptual modelling rather than real-life applications. It was seen that the use of AI-based techniques and structural equation modelling was prominent. Practical implications: AI and BDA help build the risk profile, which will guide the decision-makers and risk managers make their decisions quickly and more effectively, reducing the risks on the SC and making it resilient. Other than this, they can predict the risks in disasters, epidemics and any further disruption. They also help select the suppliers and location of the various elements of the SC to reduce the lead times. Originality/value: The paper suggests various future research directions that fellow researchers can explore. None of the previous research examined the role of BDA and AI in SCRM. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine the impact of two typical relationship management approaches (trust relationship with suppliers and reciprocity) on manufacturer resilience in the context of the COVID-19 crisis. Moreover, this paper aims to deepen the understanding of environmental uncertainty's moderating effect on the association between the trust relationship with suppliers (TRS) and reciprocity. Design/methodology/approach: Structural equation modeling has been used to test the hypotheses on 361 Chinese manufacturing firms' managers and independent directors during the COVID-19 crisis. Findings: The results reveal that reciprocity positively enhances three dimensions of manufacturer resilience, namely, preparedness, responsiveness and recovery capability. Reciprocity positively mediates the relationships between TRS and preparedness, responsiveness and recovery capability. Moreover, environmental uncertainty moderates the association between TRS and reciprocity. Practical implications: This study highlights the critical role of reciprocity, the relational governance approach, in enhancing manufacturer resilience in practice. This paper suggests that during emergencies such as the COVID-19 pandemic, managers should adopt trust and reciprocity in supplier relationship governance to strengthen the resilience of manufacturing companies and adapt effective strategies according to the environment. Originality/value: This study is unique in developing new scales of manufacturer resilience through interviews and surveys with Chinese manufacturers and theoretical research. Based on the social capital theory and social exchange theory, this study shed light on the role of trust and reciprocity. It also bridges relational governance theory with the literature on manufacturing firm resilience literature to help manufacturers better understand the transdisciplinary links between relationship management and resilient operations in emergencies. [ABSTRACT FROM AUTHOR]

Purpose: Under the influence of the digital economy, the digital transformation of manufacturing enterprises has attracted widespread attention from scholars at home and abroad due to its uniqueness and importance. However, the existing literature is still deficient in the inner mechanism of digital transformation and lacks research on the digital transformation process. Through in-depth interviews and rooted theory, this paper focuses on the key factors of digital development of manufacturing enterprises and constructs a model of the digital transformation process. Design/methodology/approach: This paper takes China's manufacturing enterprises as research projects. First, through a literature search, the authors proposed three key factors for constructing sustainable competitiveness from digital transformation, that is, core technology innovation, business model re-engineering and organizational structure optimization. Second, the authors adopted the grounded theory approach to identify three sustainable competitive factors of manufacturing enterprises resulting from digital transformation and constructed a theoretical model. Third, based on Chinese manufacturing enterprises data, the authors used an empirical study to validate the three influencing factors. Finally, the authors identified the inner mechanism of the digital transformation of enterprises and put forward suggestions for enterprises to maintain sustainable competitiveness. Findings: First, based on the existing literature, this paper identified the importance of digital transformation of manufacturing enterprises, and the essence of digital transformation of manufacturing companies was found to lie in the change in the combined effect of technological, market and organizational innovation. Second, based on the grounded theory, through in-depth interviews with manufacturing enterprises on digital transformation and open coding of interview transcripts, it was concluded that the key factors for the digital transformation manufacturing companies are core technology change, business model re-engineering and organizational structure optimization. Third, based on a dynamic perspective, the authors evaluated and validated digital transformation. The study found that manufacturing enterprises can improve their digital transformation capabilities through the trajectory of "core technology change – business model re-engineering – organizational structure optimization" to improve their sustainable competitive advantage. Originality/value: Firstly, this study proposed three key factors for constructing sustainable competitiveness from digital transformation, that is, core technology innovation, business model re-engineering and organizational structure optimization, which enriched the theory of transformation and upgrading. Secondly, this study constructs the structural equation model of digital transformation and discovers the key factors pf digital transformation. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to understand better how strategic management (SM) affects organizational and operational performance by examining the mediating role of dynamic capabilities (DCs) in complex environments. Design/methodology/approach: This study uses a survey of a sample of managers (n = 480) from each logistics firm and applies structural equation modeling to determine the relationships among variables. Findings: The analyses identify SM directly and DCs as a mediator significant antecedent for the operational performance; further, environmental complexity shows an impact as a significant factor on both variables. Research limitations/implications: One of the managerial implications is that acquiring-sensing the environment should be orchestrated to be effective. Originality/value: Previous DC literature studied underdeveloped DCs in complex environments and ignored the manager's role as a connection between the environment and the firm. This paper contributes to the topic in three important ways: first, it clarifies the operational performance from the combination of the design of the DCs and the SM characteristics within the complex environment; second, the paper specifies that microfoundations of DCs are essential in the drive's differences in the performance of the firms; and third, it clarifies regarding the role of the complex external environment rather than dynamic ones. [ABSTRACT FROM AUTHOR]

Purpose: In today's business environment, big data is viewed as the "new oil," which is rapidly changing the traditional business models and mode of operations. According to commentaries and scholarly work, big data and its applications have penetrated deeply into the very core of the products, services, and functional areas of many firms. What remains unclear is how using this "new oil" (big data) and "new technique" (data diagnosticity) can result in new "products and processes." The purpose of this paper is to examine the effects of big data usage on product and process innovation, and the moderating role of data diagnosticity on said associations. Design/methodology/approach: Data were obtained from Turkish firms that utilize big data in their daily operations and analyzed with the partial least squares' structural equation modeling technique. Findings: The findings revealed that big data usage is a predictor for higher product and process innovation. Diagnostic capabilities of the firms did not amplify the link between big data usage and product innovation, big data usage and process innovation. Originality/value: This paper is among the first study to examine the association of big data usage, data diagnostic capabilities, product, and process innovations in the Turkish context. Implications for theory and practice are discussed. [ABSTRACT FROM AUTHOR]

Purpose: As technology accelerates, the pace of innovation and product and process life cycles have significantly decreased. Firms seek to leverage their employees' efforts, particularly through knowledge-based HR practices and intellectual skills, to attain innovative performances. Despite extensive research, the scope and role of p-shaped skills have yet to be considered; this is an important oversight. Through the lens of a knowledge-based perspective, this study examines the association of knowledge-based HR practices, p-shaped skills and innovative performance. Design/methodology/approach: This paper tested the hypotheses using data obtained from large and SMEs in Riyadh, Saudi. A partial least squares structural equation modeling (PLS-SEM) technique was applied to analyze the data. Findings: The results of the PLS-SEM algorithm suggest that knowledge-based HR practices result in increased p-shaped skills, and p-shaped skills result in increased innovative performance. Accordingly, p-shaped skills mediate the association between knowledge-based HR practices and innovative performances. Originality/value: This is among the first study to operationalize a p-shaped skills scale. The paper extends its functionality as a predictor for innovative performance and the outcome of knowledge-driven HR practices. This research offers valuable theoretical and practical implications. [ABSTRACT FROM AUTHOR]

Purpose: Healthcare workers are considered to be the most vulnerable to face mental health. Therefore, this paper aims to examine how negative leadership (despotic leadership) affects employees' psychological distress. Specifically, the authors investigated bullying behavior as mediating mechanism and hostile attribution bias as boundary condition that trigger psychological distress. Design/methodology/approach: The authors collected data from 252 nurses and their immediate supervisors (as a coping strategy for common method bias) through "Google Forms" from various public and private hospitals. Findings: The authors applied structural equation modeling and noted that despotic leadership positively affects employees' psychological distress through bullying behavior. In addition, hostile attribution bias is identified as an important factor in amplifying the effect of bullying behavior on psychological distress. Research limitations/implications: The authors collected data from high-power distance culture where negative leadership is more prevalent as compared to low-power distance culture. Their findings suggest management to discourage self-centered leaders (despotic) and employees with negative personality traits (hostile attribution bias) as these affect their mental health. Originality/value: Drawing upon conservation of resources theory, this study is the first of its kind that has investigated how and when despotic leadership affects employees' psychological distress. In addition, the authors also highlighted the importance of negative personality traits (hostile attribution bias) that can amplify the association between bullying behavior and psychological distress. [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to explore how perceived prosumer content quality (PPCQ) and perceived interaction quality (PIQ) improve users' co-creation experiences and subsequently influence their co-creation intentions in the future. In addition, the paper examines users' prosumer ability into consideration. Design/methodology/approach: The research model based on stimulus-organism-response (S-O-R) paradigm is developed to observe users' participation in value co-creation activities. In total, 318 valid responses were collected from a survey. Structural equation modeling was used to examine the model and Statistical Package for the Social Sciences (SPSS) PROCESS macro (Model 58) by Hayes was applied to investigate the moderating effect of prosumer ability in mediation paths. Findings: It is observed that co-creation intention is determined by user-learning value, social-integrative value and hedonic value, which are influenced by PPCQ and PIQ. Besides, uses' prosumer ability moderates the indirect effects of PPCQ and PIQ on co-creation intentions through co-creation experiences. Research limitations/implications: The paper provides a prosumption perspective to explain users' co-creation intentions in social commerce and proposes the importance of user-learning, social-integrative and hedonic values in determining co-creation intentions. Practical implications: Social commerce platforms can encourage prosumption activities and cultivate multi-level prosumers to achieve a win–win situation. Originality/value: Little prior research has explicitly examined how and why users participate in value co-creation activities in social commerce from prosumption perspective. The current paper seeks to fill this gap and open new avenues for other value co-creation researchers. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to propose an integrated model based on the DeLone and McLean Information System Success Model (DMISS) to examine whether quality factors (system, service and information) can affect user satisfaction and performance of cloud-based marketing systems. Design/methodology/approach: Recently, technologies change quickly, innovation becomes a vital base of productivity and sustainable growth of businesses is widely accepted. Cyber-physical system technologies help industries change production and marketing cycles according to customers' needs in real-time. In addition, processing information through cloud service helps companies meet customer needs. The advantages of cloud technology also make it easier for companies to quickly collect the latest data from various sources, making it more effective in decision-making. This research recommends cloud-based marketing to help companies maximize their revenue by providing useful information and better quality for business development. The data were gathered from China automotive companies' customers. A total of 220 questionnaires were distributed, and 165 (82.5%) usable questionnaires were analyzed using structural equation modeling. Findings: This study verified that costumers' perceived information quality, system quality and service quality positively caused the user satisfaction in the cloud-based marketing system. Practical implications: This paper presents beneficial advice for improving cloud-based marketing systems. Besides, the topic is relevant to cloud-based marketing systems' success. A better understanding of the impact of intention to use and user satisfaction on cloud-based marketing systems could significantly enhance companies' success. This paper's theoretical and practical contributions are expressed to guide organizations and policymakers in increasing cloud-based marketing systems acceptance. Originality/value: This study empirically tests the relationship of quality factors and performance outcome of cloud-based marketing system through a model based on DeLone and McLean theory. This study bridges the research gap by identifying the factors that drive the adoption of cloud-based services in marketing and the impact of user satisfaction and intention to use on the cloud-based marketing system performance in the case of china companies. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to empirically analyze the significance of various knowledge management (KM) elements to the environment in a military organization and establish the efficacy of performance indicators of civil organizations for a military organization. Design/methodology/approach: The research methodology includes the development of a research model based on a comprehensive literature review. A sample of 454 Indian Air Force Veterans was obtained and structural equation modeling (SEM) analysis using statistical package for the social sciences (SPSS) analysis of moment structures (AMOS) was conducted to test the hypotheses. The study first employed exploratory factor analysis (EFA) for redefining the theoretical constructs and then confirmatory factor analysis (CFA) to test the hypotheses. Findings: The study empirically establishes the significance of various KM elements on the knowledge environment that creates, stores, transfers and applies knowledge to achieve military objectives. Findings indicate the complexity of KM in a military setup while applying the performance measures used in the civil organization. Research limitations/implications: The study expects to expand the scope of the KM literature to the militaries of developing countries and provide a methodology to the leaders and practitioners in the military organizations, and to study the available KM practices, models and tools in the civil world. Originality/value: To the best of the authors' knowledge, the present research is one of the first to generate empirical insights into a knowledge environment in military organizations and test its relation with parameters used in civil organizations. The paper would significantly contribute to the underexplored area of KM in military organizations and infuse a theoretical rigor into the KM literature. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to explore the influence of transformational leadership (TL) on a firm's radical and incremental innovation. It also deepens the understanding of appropriate mechanisms and conditions to improve specific aspects of innovation by examining the mediating role of knowledge management capability (KMC) and moderating mechanism of collaborative culture. Design/methodology/approach: This study utilized structural equation modeling (SEM) and cross-sectional design to test hypotheses in the proposed research model using survey data collected from 365 participants in 86 manufacturing and service firms. Findings: The findings indicate that TL induces greater effect on radical innovation compared to its effect on incremental innovation. The mediating role of KMC between TL and aspects of innovation capability is also supported. Especially, the influences of KMC on specific aspects of innovation capability are different and depend on the degree of collaborative culture in an organization. Research limitations/implications: Future research should examine the mediating mechanisms of knowledge acquisition, knowledge sharing and knowledge application to provide deeper insight into specific roles of knowledge management's constituents in linking TL and innovation capability. Practical implications: The paper significantly contributes to increasing the understanding of the link between TL and specific aspects of innovation capability by highlighting the important role of KMC and positive effects of collaborative climate in an organization. Originality/value: The paper is unique in the attempts to provide a prospective solution for firms to pursue and improve innovation based on the meaningful insights into the mediating role of KMC and moderating effect of collaborative culture in the relationship between TL and specific dimensions of innovation capability. [ABSTRACT FROM AUTHOR]

Purpose: Workplace flourishing and withdrawal behavior are important concepts for human resource practitioners in today's multicultural and multilingual work atmosphere. Despite the prevalence of linguistic ostracism, only a handful of studies have considered its impact on workplace flourishing and withdrawal behavior. This paper embarks on unveiling the nature of these associations. Design/methodology/approach: A sample of n = 395 employee responses was obtained from Jordanian tourism and hospitality organizations. The data were analyzed with the variance-based structural equation modeling (VB-SEM) technique using ADANCO software. Findings: VB-SEM results indicate that linguistic ostracism reduces workplace flourishing and indirectly increases withdrawal behavior through the mediating role of workplace flourishing. Decreased feelings of workplace flourishing resulted in increased withdrawal behavior. Originality/value: This paper is among the first to empirically examine the association between linguistic ostracism, workplace flourishing and withdrawal behavior and the mediating role of workplace flourishing using ethnolinguistic identity and stressor–emotion theories as a theoretical framework. Implications for practice and theory are discussed alongside future research directions. [ABSTRACT FROM AUTHOR]

Purpose: By using some tools such as business intelligence (BI) and exploring data stored in data warehousing systems, it is possible to increase export competition efficiency. Efficiency in the export competition is affected by several factors. Therefore, this paper has attempted to provide a new conceptual framework for assessing the impact of new information technology (IT)-based systems, public policies and BI on the efficiency of export competitiveness. Design/methodology/approach: Increasing exports and its high efficiency depend on each country's IT. So, IT is the main tool to increase the production process, improve quality and reduce products' cost. In addition, each country develops policies for business activities and commerce to increase productivity in export competition. Clarifying public policies and strategies critical to the development of export competition is important in this field. Therefore, this paper has tried to provide a new conceptual framework for examining the impact of new IT-based systems, public policies and BI on the effectiveness of export competition. The research method of this study is based on structural equation modeling. This method has been used to evaluate the causal model, assess the reliability and check the measurement model's validity. Model and data were analyzed using SPSS 22 and SmartPLS software. Findings: The results showed that the impact of new IT-based systems, public policies and BI on export competitiveness efficiency has been positive. Research limitations/implications: To generalize this study's results and have a more accurate external validity, it is necessary to conduct this research program over a more extended time and space. Also, larger and more comprehensive samples should be taken for further validation. The authors also suggest that other factors can be considered. Practical implications: The framework is conceptually innovative in modeling the efficiency of export competitiveness and assessing implications. Export competitiveness is a crucial factor in long-term global farm business survival, as it fosters opportunities for business prosperity on global markets. Originality/value: The research offers important hints for emerging markets to find their ways to maintain a sustainable competitive advantage in the export market by controlling the country-level factors. This research will be helpful to both policymakers and global managers. [ABSTRACT FROM AUTHOR]

Purpose: The present study is descriptive research in terms of purpose, descriptive analysis in terms of nature and cross-sectional research in terms of time. The study's statistical population includes all employees and managers of the China City Organization selected as sample members using random sampling method and Krejcie table of 242 people. The questionnaire was modified and revised based on the goals, tasks and mission of the target organization to collect information. In data analysis, due to the normality of data distribution, the structural equation modeling method is used to evaluate the causal model, reliability and validity of the measurement model. Evaluation and validation of the model are done through the structural equation model. Questionnaire-based model and data are analyzed using Smart PLS 3.0. The main purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology. Design/methodology/approach: New technologies require innovative approaches for creating valuable opportunities in an organization to integrate the physical flows of goods and services and financial information. Today, cloud computing is an emerging mechanism for high-level computing as a storage system. It is used to connect to network hosts, infrastructure and applications and provide reliable services. Due to advances in this field, cloud computing is used to perform operations related to human resources. The role, importance and application of cloud computing in human resource management, such as reducing the cost of hardware and information software in hiring, job planning, employee selection, employee socialization, payroll, employee performance appraisal, rewards, etc., is raised. This way, human resource management teams can easily view resumes, sort candidates and observe and analyze their performance. Cloud computing is effective in implementing human resource payroll management systems. Therefore, the primary purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology. Findings: Testing the research hypotheses shows that the dimension desirability of ability and acceptance is provided in dimensions related to the minimum conditions required to implement cloud computing technology in the organization. For this reason, the feasibility of implementing the systems based on cloud computing in companies must be considered. Research limitations/implications: This study also has some limitations that need to be considered in evaluating the results. The study is limited to one region. It cannot be assured that the factors examined in other areas are effective. The research design for this study is a cross-sectional study. It represents the static relationship between the variables. Since cross-sectional data from variable relationships are taken at a single point in time, they are collected in other periods. As a proposal, future researchers intend to investigate the impact of Enterprise Resource Planning (ERP) systems based on cloud computing. Practical implications: The research also includes companies, departments and individuals associated with systems based on cloud computing. Originality/value: In this paper, the feasibility of implementing the human resource payroll management system based on cloud computing is pointed out, and the approach to resolve the problem is applied to a practical example. The presented model in this article provides a complete framework to investigate the feasibility of implementing the human resource payroll management system based on cloud computing. [ABSTRACT FROM AUTHOR]

Purpose: Strategic entrepreneurship (SE) is effective in the formation of business strategies that involve simultaneous opportunity-seeking and advantage-seeking behaviors. SE revitalizes firms to achieve competitive advantage in the current turbulent markets. The purpose of this paper is to understand in more detail how SE influences business growth (BG) through the lens of dynamic capabilities (DC) theory. Design/methodology/approach: Using a quantitative research method and structural equation modeling technique, the measurement and structural models were developed to test the research hypotheses. For this purpose, a survey was conducted among 159 internet of thing (IoT)-based companies in Iran. Findings: The findings show that DC theory provides the theoretical underpinning to describe the effect of SE and its dimensions on entrepreneurial opportunity recognition (EOR). Results also reveal that EOR mediates the relationship between SE and BG. Furthermore, this research empirically verifies that organizational entrepreneurship and value creation moderate the relationship between EOR and BG. Originality/value: IoT identifies a pathway for continuous change that helps to improve firms' competitiveness and innovation. This paper provides a new insight into how Iranian IoT-based companies can enhance their SE to recognize entrepreneurial opportunities and gain competitive advantage. Mainly, this study singles out and discusses the variegated features that characterize the implementation of SE by Iranian IoT-based companies having different characteristics. [ABSTRACT FROM AUTHOR]

Purpose: The creation of partnerships among companies, governments and universities can improve innovation and the technological development of institutions. As innovation is a multidimensional concept, more nuanced research is needed to identify, which dimensions of innovation firms should focus on them. This paper aims to investigate the influence of attitude to knowledge sharing (KS) factors, learning organization and creativity on the innovation in marketing biotechnology firms. So, the purpose of this paper is to examine the influence of learning organization, attitude to KS, creativity, information technology (IT) acceptance, KS culture and trust on the innovation by presenting a new framework and a model. Design/methodology/approach: The structural equation modeling technique is used to examine the reliability and validity of the measurement of the provided model. Data were collected by questionnaires. A case study was carried out in 100 marketing biotechnology firms in the Tehran of Iran. In this paper, smart partial least squares 2.0 was used to evaluate the measurement. Findings: The result showed that all hypotheses of this research are proved. Also, the results have shown that the attitude to KS, learning organization and creativity affect the innovation in marketing biotechnology firms. As an overall result, the managers should create an enhanced knowledge bank to increase and encourage the KS among employees, thus creating and enhancing innovation in organizations. Also, the results have shown that marketing shortages were mostly connected to access to human resources with related management and marketing experiences and were mainly felt by firms introducing discontinuous novelties. Research limitations/implications: The main limitation of this paper is that the sample was retrieved from 384 employees in 100 marketing biotechnology institutions. The larger number of samples can yield better results. Next, even though the respondents' profiles indicated a high probability of them being cognizant of their organization's efforts in inter-firm KS, learning, creativity and innovation with three or four respondent from each organization answering all questions for such complicated issues always poses the risk of measurement bias and inaccuracy. An ideal situation for future studies would be to pool and compare multiple respondents from the same organization to obtain a more comprehensive firm-level measurement. In addition, this study only surveyed and sampled biotech marketing companies in Iran. Therefore, the model should be examined using samples from other countries because the varieties of culture could have an impact on employee apprehensions. So, future researchers can test the measurement instrument in different countries and/or conduct large multi-national comparisons. Practical implications: Successful marketing strategies depend very much on an organization's ability to implement them. This paper provides an excellent study about the future of pharmaceutical KS and shows that innovation paths are linked with local and temporary occasions. Also, the results of this study provide valuable information in formulating marketing biotechnology programs. It is essential to study both economics and innovation for students and academics. The results also suggested that policies to increase economic research will also increase innovation. They could contain the consolidation of the legal framework and institutional resources for public organizations to protect intellectual properties. In general, for successful implementation of strategies an organization has to integrate KS, processes and IT. Social implications: The paper identifies the most critical factors in the innovation process of enterprizes in marketing biotechnology institutions. The implications derived from this study can shed new light upon policy-making both at the level of governance and in the management practice in Iran's marketing biotechnology industry. Also, the paper increases understanding of the innovation process in Iran marketing biotechnology companies. This study contributes to innovating management research by offering a set of legal and dependable operational measures. These measures can help academics in theory analysis. Originality/value: This is the first attempt examining the role of the learning organization, creativity and attitude to KS as a key contingency factor in innovation in Iran marketing biotechnology firms, an issue whose understanding is still developing in the literature. The paper adds to the body of knowledge by allowing better understanding the attitude toward KS and the influence of KS, learning and creativity on innovation. Previous studies did not investigate the KS in marketing biotechnology firms deeply, but, the present paper permits a more complete view on this topic. The guidelines are provided for the top directors to promote KS and innovation according to the research results. From a managerial point of view some critical elements, which are important for the success of KS and application of these elements for progressing institutional guidelines to develop KS, are considered. Theoretical foundations can be extracted from this study, and these foundations can be implemented to investigate connection in KS elements such as feasibilities processes and institution initiative abilities. So, the results could be suitable to managers when arranging an organization and shaping its culture to improve knowledge management. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate the impact of knowledge-based dynamic process capabilities (KBDPCs) on innovation performance, considering the mediator role of innovation processes in the Iranian knowledge-based high-tech companies. Design/methodology/approach: Based on an in-depth review of previous studies, the indicators pertaining to the research constructs were extracted. Then, exploratory and confirmatory factor analyses were applied to identify and confirm the research constructs. Partial least squares-based structural equation modeling was used to investigate the intended relationships. Findings: The results of the direct effect showed that KBDPCs have a significant positive effect on innovation performance. Further, moderation analysis demonstrated that innovation processes are moderated by the relationship between KBDPCs and innovation performance. Accordingly, the findings revealed that KBDPCs affect product innovation performance and exploratory innovation and transitional innovation increase this effect. Also, the mediator role of exploitation innovation in the relationship between KBDPCs and process innovation performance was proved. Research limitations/implications: As this research was performed in the Iranian context, caution should be taken regarding the generalizability of the findings. Practical implications: This paper provides a roadmap based on existing scenarios to enhance innovation performance for the surveyed-companies, in particular, and other companies, in general. Social implications: The social implication of this study is to respond to the challenge of the managers of Iranian knowledge-based high-tech companies to improve innovation performance through KBDPCs and innovation processes and to grow and develop a sustainable business. Originality/value: Given rare studies that have so far been conducted on the research field, this study extends the theories of KBDPCs, innovation processes and innovation performance. The constructs of the research model and relationships intended among them are also significant. [ABSTRACT FROM AUTHOR]

Purpose: This article investigates the determinants of knowledge management system (KMS) adoption, specifically with reference to Malaysian organizations across various industries. Design/methodology/approach: The structural equation modelling approach using PLS technique was utilized to analyze the hypotheses developed, based on the survey data from 830 respondents comprised of information technology or knowledge management managers in Malaysian organizations from various industries. Findings: Knowledge management (KM) enabling processes, perceived usefulness of KMS, knowledge sharing culture, knowledge taxonomy, and policy and procedure for KMS work, display significant positive effects on the KMS adoption level, with KM enabling processes having the strongest significant positive influence. Meanwhile, incentive and reward, management commitment, and KMS perceived ease of use possess no significant direct effect. However, management commitment was found to have an indirect effect on the KMS adoption level, where its effect is mediated by knowledge sharing culture. Practical implications: This article outlines several managerial implications for enhancing the adoption of KMS, which include establishing appropriate KM enabling processes, identifying pertinent information to be preserved, shared, and reuse, and generating initiatives to instil a culture of knowledge sharing. Originality/value: The empirical findings support the relevancy of the technology acceptance model (TAM) construct of perceived usefulness in KMS adoption context and advances the understanding that knowledge sharing culture is a highly influential factor for this construct. This study enriches and extends technology acceptance theory by presenting a more holistic model for KMS adoption with the integration of influencing factors that are inherent to organization. [ABSTRACT FROM AUTHOR]

Purpose: Decision-making and problem-solving are ongoing progressions of evaluating situations or problems, considering substitutes, making choices and following them up with the necessary actions. The relationship between managers' decision-making and information technology (IT) has long been of interest to researchers. This study aims to examine the changes in novel technologies in facilitating managers' decisions that influence the quality and timeliness of information and decision-making. Design/methodology/approach: The present paper is a descriptive-correlative study in terms of the data collection method and is applicable in terms of purpose. In addition, the library-field method was used to collect information. Because of the target and subject of the research of the statistical population, this research contains all managers of a management organization that are 100 people. The present study is used in the structural equation modeling method to examine causal models and evaluate the reliability and validity of the measurement model. The presented model and the gathered information from the questionnaires were analyzed through SmartPLS software. Findings: The results indicate that the IT infrastructure, expert systems, marketing information systems (ISs) and organizational variables significantly influence the ease of managers' decision-making and considering these dimensions is a step in the success of managers' decisions. Research limitations/implications: This study used a questionnaire to collect information, which may result in some people refusing to provide a real answer and giving an unrealistic answer. This study is also cross-sectional, and therefore, makes it difficult to conclude about causality. In addition, access to statistics and information is one of the significant pillars of research. Practical implications: The paper presents useful advice for improving decision-making. In addition, the topic is relevant to the ease of managers' decisions. A better understanding of the impact of IT infrastructure, expert systems, marketing ISs and organizational variables could significantly enhance managers' success. Originality/value: The ideas and topics discussed are equally applicable to libraries and can provide new insights into the impact of IT infrastructures, expert systems, marketing ISs and organizational variables on the ease of decision makers as a source of competition. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era. Design/methodology/approach: Over the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS. Findings: Based on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era. Research limitations/implications: This study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era. Practical implications: The results of this research are applicable for all companies, their departments and human resources in the COVID-19 era. Originality/value: In this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to propose a new method for evaluating the success of the recommender systems based on customer history, product classification and prices criteria in the electronic commerce. To evaluate the validity of the model, the structural equation modeling technique is employed. Design/methodology/approach: A method has been suggested to evaluate the impact of customer history, product classification and prices on the success of the recommender systems in electronic commerce. After that, the authors investigated the relationship between these factors. To achieve this goal, the structural equation modeling technique was used for statistical conclusion validity. The results of gathered data from employees of a company in Iran is indicated the impact of the customer history on the success of recommender systems in e-commerce which is related with the user profile, expert opinion, neighbors, loyalty and clickstream. These factors positively influence the success of recommender systems in ecommerce. Findings: The obtained results demonstrated the efficiency and effectiveness of the proposed model in term of the success of the recommender systems in the electronic commerce. Originality/value: In this paper, the effective factors of success of recommender systems in electronic commerce are pointed out and the approach to increase the efficiency of this system is applied into a practical example. [ABSTRACT FROM AUTHOR]

Purpose: The paper takes a behavioral approach by making use of the prospect theory to unveil the impact of salience on short-term and long-term investment decisions. This paper aims to investigate the group differences for two types of investors' groups, i.e. individual investors and professional investors. Design/methodology/approach: The study uses partial least square-based structural equation modeling technique, measurement invariance test and multigroup analysis test on a unique data set of 277 active equity traders which included professional money managers and individual investors. Findings: Results showed that salience has a significant positive impact on both short-term and long-term investment decisions. The impact was almost 1.5 times higher for long-term investment decision as compared to short-term decision. Furthermore, multigroup analysis revealed that the two groups (individual investors and professional investors) were statistically significantly different from each other. Research limitations/implications: The study has implications for financial regulators, money managers and individual investors as it was found that individual investors suffer more with salience heuristic and may end up with sub-optimal portfolios due to inefficient diversification. Thus, investors should be cautious in fully relying on salience and avoid such bias to improve investment returns. Practical implications: The study concludes with a discussion of policy and regulatory implications on how to minimize salience bias to achieve optimum and diversified portfolios. Originality/value: The study has significantly contributed to the growing body of applied behavioral research in the discipline of finance. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to study the export knowledge to be the determinant of export strategy, export commitment and export performance in carpet Industry. Design/methodology/approach: Using a qualitative–quantitative approach, the unit of analysis is the individual export venturing firm in India. More in detail, a qualitative analysis was conducted through a focus group interview to explore the challenges of carpet exports. A quantitative analysis was performed using confirmatory factor analysis (CFA) and, because of covariate nature of the proposed research model, structural equation modeling to evaluate the research hypotheses. Findings: The results emphasized that Indian carpet exports face major challenges, namely, issues of raw material that is wool, shortage of labor for weaving carpets and a lack of organization which has a negative impact on productivity and quality. Furthermore, this study shows that export knowledge directly influences the export strategy, export commitment and export performance. Originality/value: Building on the results, this paper suggests corrective measures, as well as required knowledge, to formulate a strategy and boost the export performance of the carpet sector. [ABSTRACT FROM AUTHOR]

Purpose: Smart homes are recent Internet of Things applications that aim to improve residents' quality of life. Despite its potential, the adoption of smart homes, in general, and its devices and appliances, in specific, is not reaching a mass market yet. This study aims to investigate the factors that influence residents' intention to buy smart homes devices in Jordan. Design/methodology/approach: This paper proposes a novel model to study users' intention to buy smart homes devices by following a quantitative method. Responses were collected and statistically analyzed from 375 households using structural equation modeling. Findings: Results show that user awareness, perceived cost, perceived enjoyment, personalization, user trust and social influences significantly influence the intention to buy smart home devices. Originality/value: To the best of the authors' knowledge, this paper is the first study attempts to predict intention to buy smart home devices in Jordan. The findings provide meaningful implications for smart home devices providers. [ABSTRACT FROM AUTHOR]

Purpose: The critical issue in financial management is investigating the role of government in an organization's economy. Governmental facilities, loans and long-term financial plans may affect the performance of financial management systems. Financial management systems may be affected by various other factors, such as organizational, technological and governmental factors. Studying and investigating the influence of organizational, technological and governmental factors on financial management systems' performance is the primary goal of this paper. Design/methodology/approach: Financial management has always been affected by the increasing role of technology. Also, the use of financial software, the entry of computer-based computing and math planning are examples of technology entry to financial management that has led to changes in recent years. Data were collected from the insurance offices through a questionnaire. Distributed questionnaires were conducted on a Likert scale. The causal model has been appraised by the structural equation modeling (SEM) method that has been utilized to assess the validity and reliability of the model. The software has been used to evaluate the questionnaire, and the hypotheses of the research are evaluated using SPSS 22 and SMART-PLS software. Findings: The results showed that organizational, technological and governmental factors directly affect financial management systems' performance. For this reason, the role of organizational, technological and governmental factors on the success of financial management systems in insurance companies must be considered for decision-making in the future. Research limitations/implications: This study includes some restrictions required to be examined in assessing the outcomes. First, sample research was selected from the managers of the insurance offices in Harbin, China. So, the sample size is not big, and the generalization of the results is limited. Second, the current research might have ignored other variables, which affect the performance of financial management systems. Future researchers intend to investigate the impact of investments and projects on financial management systems' performance as a proposal. Nevertheless, the subsequent investigation can assess vital factors like investments and plans on financial management systems' performance. Practical implications: The research also includes insurance companies and all departments and individuals associated with financial management systems somehow. Originality/value: In the current article, the performance of financial management systems is highlighted, and the method to resolve the issue has been utilized as an experimental example. This article's introduced model supplies a comprehensive framework to investigate the impact of organizational, technological and governmental factors on financial management systems' performance. [ABSTRACT FROM AUTHOR]

Purpose: As users often lack the motivation to contribute their ideas and knowledge in open innovation communities, it is necessary to identify the determinants of users' contribution. This paper aims to examine users' contribution in open innovation communities based on the social capital theory. Design/methodology/approach: The authors collected 474 valid responses from a survey and adopted structural equation modeling (SEM) to conduct data analysis. Findings: The results indicated that social interaction, which includes informational and emotional interaction, has a significant effect on social capital, which in turn affects users' contribution. Research limitations/implications: The results imply that companies need to facilitate users' interactions and develop social capital to promote their contribution in open innovation communities. Originality/value: Although previous research has found the effect of individual motivations such as perceived benefits and behavioural control on innovation community users' behaviour, it has seldom considered the effect of social capital embedded within the social relationship networking. This research tries to fill the gap and the results disclosed the mechanism underlying open innovation community users' contribution. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to investigate the perceptions of young entrepreneurial aspirants towards sustainable entrepreneurship in Pakistan. Design/methodology/approach: The study is based on descriptive and cross-sectional data collected using a survey questionnaire. The study's respondents were students, all of whom were studying for their Master's degree of Business Administration (MBA) at several Pakistani universities (both public and private sectors). A total of 412 usable cases were used to obtain the outcomes. Findings: By using the structural equation modeling, the findings suggest a positive and significant impact of eco-friendly people, green marketing factors, changing consumer behaviour and favourable market conditions on sustainable entrepreneurship. Practical implications: The study's findings are beneficial in understanding the concept of sustainable entrepreneurship and the significant factors that may affect sustainable entrepreneurship along with the main components in social and business systems. Organizations can reinforce these factors to stimulate sustainable entrepreneurship in future studies. Thus, the study contributes to filling the research gap in the area of sustainable entrepreneurship. Originality/value: To the best of the authors' knowledge, this is the first study to investigate and reveal young entrepreneurial aspirants' perceptions on sustainable entrepreneurship. The findings help in understanding the sustainable entrepreneurship concept, particularly in a developing country. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to investigate the relationship between relational capital produced by universities and knowledge structures, which include both the capacities and competencies that students have learned and the capabilities they have put into practice. Design/methodology/approach: To analyse research data and test the proposed model, partial least squares structural equation modelling (SmartPLS 3.2.9) is used on a sample of 125 students of a Spanish university. Findings: The results of the study demonstrate that the creation of relational capital by universities will depend largely on how students' capacity is supplemented and merged with students' competency to develop synergies that increase the students' capability to give an additional value to the community members. Originality/value: This study allows an in-depth analysis of the cause and effect link between the knowledge structures and support the members of higher educational institutions to understand how to achieve relational capital in universities. [ABSTRACT FROM AUTHOR]

Purpose: With the exigencies of health-care service quality to actualize sustainable socio-economic and developmental aspirations, in both peripheral and core countries, this paper aims to provide empirical evidence on health-care service quality and its precursor – patients' satisfaction, and continuous service utilization. Design/methodology/approach: A total of 398 screened questionnaires were analyzed from selected hospitals of the Koforidua, Ghana. Findings from the structural equation modeling showed a significant association among perceived quality, patients' satisfaction and tangibility. Contrary to the expectations, the results did not show a significant association among the constructs – perceived quality, safety and empathy. Again, the model fit indices collaboratively showed that the hypothesized model overwhelmingly "fit" the sample data, and further proved the predictive robustness of the model. Findings: The results of the analysis demonstrate that patients were discontent with empathy and safety measures at the hospitals. However, tangible and perceived quality were identified as significant predictors of patients' satisfaction. Originality/value: There is a dearth of empirical investigations on the assessment of health-care service quality and patients' satisfaction in developing economies such as Ghana. Therefore, the implication of the study will equip the top hierarchy of the Health System of Ghana in achieving their mission, and objectives in line with quality service delivery. In particular, MoH and GHS can embark on a routine exercise to audit the hospitals for re-accreditation, and provide CCT cameras to improve safety and security conditions at the hospitals, while enforcing the culture of receptive hospital environment to improve empathy. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine the effect of flow experience on users' social commerce intention. Design/methodology/approach: Based on the 287 valid responses collected from a survey, structural equation modeling was used to examine the research model. Findings: The results indicated that social interaction, which includes human–computer interaction and human–human interaction, has a significant effect on the flow experience, which in turn affects social purchase and social sharing intention. Research limitations/implications: The results imply that companies need to facilitate social interaction to improve users' experience and promote their social commerce intention. Originality/value: Although prior research has examined social commerce user behaviour from multiple perspectives such as trust, perceived value and technological perceptions, it has focused on the effect of cognitive beliefs and neglected the effect of affective beliefs such as flow experience. This research tries to fill the gap. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate the relationships between personality, motivating factors and herding behaviour of individual investors. Investors' personality has been classified consonant to the personality traits (compliant, aggressive and detached) encapsulated in Horney's tripartite model. Design/methodology/approach: To carry out this study, the author surveyed 363 individual investors of the Indian stock market using a structured questionnaire. Structural equation modelling is used to empirically test the relationships between personality, three motivating factors (cognitive capability, emotional factors and social factors) and herding behaviour. Findings: The result reveals that, expect compliant personality, none shows proclivity towards herding behaviour. Investors possessing compliant personality are more influenced by social motivating factors; however, cognitive factor motivates aggressive personality, inhibiting herding behaviour. Furthermore, investors having detached personality are not influenced by any motivating factors of herding. Research limitations/implications: The limitation is the difficulty in generalizing the results to overall country populations as the Indian stock market has a huge turnover every day, and the author's survey consisted of only small sample of individual investors. Practical implications: The outcomes of this study could possibly unveil a new insight to discern the behaviour of individual investors in the Indian stock market. Originality/value: The influences of personality on investment choices have been investigated before, but the influence of personality specifically on herding behaviour has not being adequately investigated in an emerging economy like India, as very scanty literature is available on the influence of personality on herding behaviour. The study addresses this gap and further explores the association of personality with different motivating factors that cause herding bias. [ABSTRACT FROM AUTHOR]

Purpose: This research specifies the factors impacting on the success of supply chain management (SCM) systems in the organizations. This paper aims to assess the effect of knowledge sharing, the vehicular ad hoc network (VANET), radio frequency identification technology (RFID) and near field communications (NFC) and the social capabilities of information technology (IT) and information and communication technology (ICT)on the success of the SCM systems and the simplification of the SCM challenges and other factors affecting its success. Design/methodology/approach: A questionnaire is designed for measuring the elements of the proposed model. The questionnaires are revised by experts with experiences in SCM. For statistical analysis, SPSS 24.0 and SMART- PLS (partial least squares) 3.2.6 software package are used. The structural equation modeling (SEM) analysis procedure is conducted in two stages. The reliability analysis and confirmatory factor for analyzing the dimensions and items are included in the first stage. The second stage involves evaluating the assumptions through the SEM. Findings: The results have depicted that four variables (knowledge sharing, VANET, RFID and NFC, and the social capabilities of using IT) affect the success of SCM systems. Originality/value: This research specifies the factors impacting on the success of SCM in the organizations. These technologies aid companies in improving their performance in the SCM and facilitating coherence and collaboration. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to present a model of the employability confidence of graduates using employability skills. The purpose of the study is twofold: to identify to what extent self-perceived employability skills (input employability) influence the employability confidence of students/graduates (output employability) and to identify if there are determinant relationships between categories of employability skills. Design/methodology/approach: The researchers for this study built and tested an employability confidence model which included seven constructs. Six focussed on employability skills "professional skills, transferable individual skills, transferable social skills, personal qualities, job seeking skills and corporate work-related skills", while the last one focussed on employability confidence, seen as the students'/graduates' self-reliance for getting and maintaining a job. The model was refined using structural equation modelling (with SmartPLS 3 SEM software) and was tested by empirically, analysing a sample of participants studying business. Findings: The results illustrated that four categories of skills (personal qualities, professional skills, job seeking skills and transferable social skills) have a positive and significant influence on students'/graduates' employability confidence, while individual transferable skills and corporate-related skills do not have a significant influence on employability confidence. Research limitations/implications: The study contributed to the exiting literature by proposing a new model and measurement instrument that links input employability (individual employability skills) with output employability (employability confidence). The model emphasizes the complete range of individual employability skills, the types of skills that are in the control of the individual. It also contributed by collecting data from a less studied country and region, Romania, that can be considered relevant for Central and Eastern Europe due to similar economic, political, cultural and historical characteristics. Practical implications: From a practical point of view, the results can be of interest to individuals, to universities and the teaching staff, to organizations and their human resource specialists, and to public administrators, as they all can act to support the development of individual employability skills, thereby helping to increase the employability confidence of individuals. Originality/value: The study contributed to the exiting literature not only by proposing a new conceptual model to analyse employability confidence but also by collecting data from a less studied region, Romania, that can be considered relevant for Central and Eastern Europe due to similar economic, political, cultural and historical characteristics. [ABSTRACT FROM AUTHOR]

Purpose: Virtual teams had become a fundamental way to conduct business for organizations to remain competitive and sustain in a global environment. Organizations which willing to understand what makes virtual teams more effective can likely accrue positive results from virtual teams. Hence, the purpose of this paper is to investigate what are the factors that impact the performance of virtual team. This study highlights factors that influence virtual team performance, which not been widely studied in developing countries (i.e. Malaysia). This study tests the impact of six factors (coordination, communication, relationship building, cohesion, trust and reward) on team performance. Design/methodology/approach: A quantitative approach via self-administered questionnaire was adopted. A total of 205 questionnaires were successfully collected at the end of the data collection. Structural equation modelling using partial least squares approach (i.e. ADANCO 2.0 software) was then used to assess the relationships among variables in the virtual team. Findings: After ensuring the data have acceptable reliability and validity, structural model assessment was performed to test the hypotheses. The results indicated that a significant and positive relationship exists between communication, relationship building, cohesion and trust towards team performance. On the other hand, no significant relationship was found between coordination and reward towards team performance. Research limitations/implications: First, the study may be slightly biased due to the differences in the size of the multinational companies. The result might tend to represent the bigger companies where more virtual teams are available for sampling of this study. Second, the duration of virtual team (long-term and short-term) and the number of sites in the team should be clearly identified. The respondents might have very different experiences and perceptions in different settings of virtual team environment. Therefore, taking care of these characteristics would have provided a more detailed and comprehensive understanding of factors influencing virtual team performance in Malaysia. Practical implications: The findings from this study can serve as guideline for managers to manage the virtual teams effectively, as well as to optimizes the resources usage and implement the most efficient tools of communication, and subsequently improve the overall efficiency of the teams. This study is useful for researchers, managers and organizations to highlight the factors that contribute to virtual team performance. Originality/value: The present study has not only extended the use of Media Richness Theory in the context Virtual Team Performance in a developing country but also broadened the previous study through inclusion of other crucial factor, namely, Reward. Given the significant role in the Global marketplace, the understanding of factors influencing virtual team performance in Malaysia using the extended theory of Media Richness would contribute knowledge not only to technology management but also to manufacturing service industry. [ABSTRACT FROM AUTHOR]

Purpose: With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM). Design/methodology/approach: The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM). Findings: A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM. Research limitations/implications: This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model. Practical implications: This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project. Social implications: The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society. Originality/value: This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to study major influencing factors on public satisfaction with regard to information disclosure amid typhoon disasters. Internal latent variables, including disaster information quality, information disclosure channels and disaster perception levels, significantly affected the degree of public satisfaction, which was key factors in determining account consumer satisfaction.Design/methodology/approach By conducting the questionnaire survey in typhoon-prone areas, 326 copies of the questionnaire about public satisfaction towards government information disclosure about typhoon were collected. An exponential model of satisfaction about information disclosure amid typhoon disasters was constructed and analyzed through the selection of latent variables, the hypotheses of the structural relationship and the establishment of measurable variables.Findings Disaster information quality, disaster information disclosure channels and disaster perception levels were all positively correlated with the dimensions of information performance perception dimensions. Public expectations also made positive contributions to public satisfaction. These findings strongly support the hypothesis that public satisfaction affects the government image and public trust.Originality/value With the Leizhou Peninsula, China attacked by the typhoon disasters as an example, the SEM was adopted to simulate the routes and its feasibility and scientificity were validated. It is valuable to build and analyze an evaluation model based on a structural equation model underlying the public satisfaction towards information disclosure amid typhoon disasters. [ABSTRACT FROM AUTHOR]

Purpose: This study's goal is to look at how visitors' experiences affect the indirect links between the destination's extrinsic motivations (DEMs) and tourists' intrinsic motives (TIMs), on the one hand, and the perceived destination image (PDI), on the other. Design/methodology/approach: Using structural equation modeling, 613 tourists from different nationalities were used to test the five hypotheses. Findings: The research results revealed that second-order destinations' extrinsic motivations directly impact TIM and PDI. It also showed that tourists' experiences as moderators reduce the direct effect of DEM on PDI for first-time visitors compared to repeat visitors. Moreover, it increases the direct effect of TIM on PDI for repeated visitors. Practical implications: Destination managers can fix the problems that hurt their reputations and images by hiring police officers in tourist areas and cleaning tourist places. In the same way, destination managers and travel agencies should use AI tools to create social media marketing campaigns focusing on natural and historical monuments. Also, the marketing plans should stress the value for money (for example, lodging, food and attractions' cost). Finally, destination marketers can make programs for repeat visitors, focusing on DEM and TIM. Originality/value: This article tries to fill a gap in the research on PDI formation in emerging markets as a modern technique in destination marketing by using the push-intrinsic and pull-extrinsic theories. It also looks at how the tourists' experiences moderate the direct link between DEM, TIM and PDI. Lastly, this study examines how TIM affects a destination's image in emerging markets. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to explore the role of the green market (GM) and green innovation (GI) towards green entrepreneurship (GE) and sustainable development (SD). Design/methodology/approach: Based on cross-sectional data, the researchers used quantitative methods in this study to confirm the conceptual framework. The researchers used a questionnaire to collect the data obtained from Pakistan's knowledge-based companies (KBCs). In total, the researchers used 192 usable samples to deliver the findings. Findings: The researchers used structural equation modeling (SEM) to ensure the model's fitness and as a basis for this study's hypotheses. The findings highlight that the GM factors, such as green product (GP), green design (GD), green supply chain (GSC) and green production (GPN) have a positive and significant effect GM factors, such as on both GE and SD. Further, GI is, also, a significant predictor of GE and SD. Finally, this study's findings show that GE has a predictive role of towards SD. Practical implications: This study's findings create a source of attention for individuals to preserve the GM's natural resources. Further, mainly in developing contexts like Pakistan, the addition of the GI factor and the GM towards GE and SD contribute to the depth of the existing literature. Originality/value: By integrating factors, such as innovation toward GE and SD, this study's findings provide an original contribution to the empirical evidence. [ABSTRACT FROM AUTHOR]

Purpose: Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience. Design/methodology/approach: This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience. Findings: The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships. Originality/value: This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys'findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers. [ABSTRACT FROM AUTHOR]

Purpose: In the digital era, the competitiveness of an enterprise is highly dependent on the success of its digital transformation. The effectiveness of such transformation, in turn, relies heavily on the organization's strategic vision and resource fitness. Accordingly, the authors aim to explore the impact of strategic vision on digitalization (SVD) on the digital transformation of small- and medium-sized enterprises (SMEs), drawing on the perspective of resource orchestration theory. Design/methodology/approach: Based on first-hand interview data from 347 Chinese SMEs, the research model was tested empirically by both Structural Equation Modeling and Fuzzy Set Qualitative Comparative Analysis (fsQCA). Findings: The study results supported that the positive effect of SVD on digital transformation, and the mediating effect of resource orchestration (resource structuring, resource bundling and resource leveraging) accounts for the relationship between SVD and digital transformation. Further, the fsQCA showed that neither SVD nor resource orchestration alone constitutes a necessary condition for high digital transformation in SMEs, and that SVD and resource orchestration elements constitute three configuration paths that drive SMEs to achieve high-level digital transformation. Originality/value: To the authors knowledge, this is the first study of its kind to theorize and empirically examine how SVD affects SMEs digital transformation. In addition, the authors have highlighted the importance of resource orchestration in forging a link between SVD and digital transformation. The research contributes to the resource orchestration theory and digitalization literature and provides guidelines on how SMEs can realize digital transformation. [ABSTRACT FROM AUTHOR]

Purpose Based on a thorough review and synthesis of the literature in behavioral finance, the purpose of this paper is to develop three measures of heuristics that tend to influence investment decisions of individual investors.Design/methodology/approach Using perceptual data collected from a sample of 167 individual investors in the USA, the reliability and validity of heuristics measures are assessed by confirmatory factor analysis with structural equation modeling. Then, the second-order model is executed in order to indicate the paths among the study’s constructs. Finally, a multiple-group analysis is conducted to analyze the moderating effects of demographic factors on the relationship between the perceived level of heuristics and their constituent dimensions.Findings Of the three groups of heuristics, salience is found to be the most important followed by mental accounting, while representativeness features as relatively less important. Regarding the moderating effects, only investment experience is noted to have a significant moderating impact.Research limitations/implications The data utilized for testing and validating this instrument was acquired from a relatively small sample of individual investors in the USA, which makes the generalization of findings somewhat limited.Practical implications Both researchers and practitioners in behavioral finance can use these measurement scales to better understand the impact of heuristics on individual investment decisions and also to develop models that relate the critical factors of heuristics to the performance of individual investment decisions.Originality/value To date, there has been no systematic attempt in the extant behavioral finance literature to develop a valid and reliable instrument on heuristics which would aid to improve the quality of decision making in investment analysis. [ABSTRACT FROM AUTHOR]