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The pricing strategy and decision-making investments of crowdfunding platforms are crucial for crowdfunding. This study examines how crowdfunding platforms influence platform profits by utilizing the mixed strategies of pricing strategy and investment decisions. According to the Hotelling specification and the characteristics of crowdfunding markets in which fundraisers are single homes and funders are multiple homes, this paper explores how “all or nothing” crowdfunding platforms set prices to balance the revenues and the costs of performance investment and thus maximize platform profits. We find that the investment level of crowdfunding platforms is determined by the difference in the preferences for performance investment between funders and fundraisers. In addition, the cross-network externalities of investors, the horizontal differences between platforms, the proportion of transaction fees drawn by platforms, and the range of the fundraisers’ fixed costs all play roles in shaping the pricing strategy and performance investment strategy of crowdfunding platforms.

The purpose of this study is to reveal the dark side the Internet and establish a hierarchical framework to provide its governance path based on users' negative psychology. However, this hierarchical framework must consider unnecessary attributes and the interrelationships between the aspects and the criteria. Hence, fuzzy set theory is used for screening out the unnecessary attributes, a decision-making and trial evaluation laboratory (DEMATEL) is proposed to manage the complex interrelationships among the aspects and attributes, and interpretive structural modeling (ISM) is used to divide the hierarchy and construct a hierarchical theoretical framework. The results show that: (1) the institutional system is the driver of Internet governance improvement (2) personal values are the last link in the governance process (3) the governance transition from institutional system to values must cross the barriers of ethics and technology. This paper proposes a more systematic and integrated hierarchical framework which provides theoretical guidance to govern the dark side of the Internet.

With the rapid development of information technology, information security has been gaining attention. The International Organization for Standardization (ISO) has issued international standards and technical reports related to information security, which are gradually being adopted by enterprises. This study analyzes the relationship between information security certification (ISO 27001) and corporate financial performance using data from Chinese publicly listed companies. The study focusses on the impact of corporate decisions such as whether to obtain certification, how long to hold certification, and whether to publicize information regarding certification. The results show that there is a positive correlation between ISO 27001 and financial performance. Moreover, the positive impact of ISO 27001 on financial performance gradually increases with time. In addition, choosing not to publicize ISO 27001 certification can negatively affect enterprise performance.

Collecting and mining customer consumption data are crucial to assess customer value and predict customer consumption behaviors. This paper proposes a new procedure, based on an improved Random Forest Model by: adding a new indicator, joining the RFMS-based method to a K-means algorithm with the Entropy Weight Method applied in computing the customer value index, classifying customers to different categories, and then constructing a consumption forecasting model whose RMSE is the smallest in all kinds of data mining models. The results show that identifying customers by this improved RMF model and customer value index facilitates customer profiling, and forecasting customer consumption enables the development of more precise marketing strategies.

In this study, the authors extended the perceived risk-value model to include customer involvement to conceptualize an adoption intention model in the context of internet-only bank services (IOBSs). Hypotheses were tested using survey data collected in China. A total of 252 valid questionnaires were returned. Structural equation modeling was used to test two models, an antecedent model, and moderating model, constructed by assuming that customer involvement affects the perceived risk-value model in different ways. The findings verified that the perceived value could explain customers' intention to adopt IOBSs, whereas the influences of perceived risk were discovered to be nonsignificant, reducing the fitness of the perceived risk-value model. However, the opposite result was obtained when customer involvement was considered to exert a moderating effect rather than an antecedent effect. The implications of this research for IOBS service operators are discussed, and suggestions for future research are provided.

PurposeStudies have reported negative effects of felt accountability on employees' extra-role behavior. Deviating from that focus, this study proposes that leadership plays a role in shaping the implications of felt accountability for employees' extra-role behavior. We propose that under high transformational leadership, felt accountability can motivate employees to engage in task-relevant information elaboration and facilitate innovative work behavior, a form of extra-role behavior that seeks to improve the work environment.Design/methodology/approachWe conducted a pilot study to validate measurements of felt accountability and task-relevant information elaboration in a sample of 202 employees. We then conducted the main study using a time-lagged, multisource survey design with a sample of 120 supervisor–employee pairs.FindingsThe results from the main study reveal that the association between felt accountability and task-related information elaboration is positive and stronger when transformational leadership is higher. Furthermore, task-relevant information elaboration positively predicts innovative work behavior. Finally, when transformational leadership is higher, the mediation effect of task-relevant information elaboration on the association between felt accountability and innovative work behavior is stronger.Originality/valueOur study indicates that felt accountability can have positive implications for employees' extra-role behavior contingent on leadership styles. In contrast to previous studies that emphasize the negative implications of felt accountability on employees' behavior, our study depicts when and why felt accountability can have positive implications on employees' behavior.

This study uses a content analysis method to systematically review 83 research papers from 2002-2018 to explore consumer-to-consumer (C2C) e-commerce research trends. The findings of this study indicate that (1) C2C e-commerce is discussed and investigated in many disciplines, but mainly published in e-commerce journals; (2) studies on C2C e-commerce increasingly focus on diverse topics, but concentrate on regions such as China and the United States; (3) the focus of academic collaboration has shifted from domestic to international collaboration, and collaboration within the same institution. However, collaboration is scarce across different study teams; (4) the data-driven approach is the main approach used in studies on C2C e-commerce; (5) while the number of recent C2C e-commerce studies adopted theories is increasing, few have developed theoretical frameworks or models. Finally, study implications and future study suggestions are also discussed.

The reverse logistics of municipal hazardous waste (RLMHW) have received close attention from researchers and practitioners alike, given the essential impact of safe transportation and effective management of hazardous waste on public health and environmental sustainability. There are a great number of studies in the extant literature on RLMHW, with many and diverse research topics; however, a concise and complete overview of the research works already conducted in this particular area is conspicuous by its absence. This paper strives to fill the gap through the conduct of rigorous systematic literature review of RLMHW in the past three decades, and then establish a framework of studies on RLMHW. The main contributions of this study are as follows: (1) to identify the trend of journals publishing research papers on RLMHW; (2) to extract the main topics in studies on RLMHW; (3) to locate the most popular research areas of RLMHW; (4) to summarize the methods adopted in studies on RLMHW; (5) to identify research deficiencies in certain categories of RLMHW; and (6) to establish the future research directions of RLMHW. The main implications of the study are to offer a better understanding of RLMHW by systematic crystallization of archival data in a systematic chronological order across central issues. This study contributes to scholarly debate in this field by serving as a snapshot paper to document the development of the field and gives input to policymakers in process design and policy making in the domain of RLMHW.

PurposeAs social networking sites (SNSs) gain popularity, they are being widely used by entrepreneurs to obtain social capital to carry out business ventures. However not all SNS usage behaviors promote entrepreneurship. Only when individuals actively participate in SNSs relationship maintenance behaviors they can obtain resources that are conducive to promoting social entrepreneurship. The aim of this study is to explore the role of WeChat relationship maintenance behavior (WRMB) on social entrepreneurial intention (SEI) with dual narcissism as an essential antecedent that affects SNS use.Design/methodology/approachBased on dual narcissism theory and the theoretical framework that networking is a critical skill and activity for the success of social entrepreneurship, this study proposes a serial mediation model that explores the formation of SEI. This study collected data from a sample of 275 MBA students in China and applied multiple regression and confirmatory factor analysis techniques to test the research model.FindingsThe results reveal narcissistic admiration (NA) is positively associated with WRMB, while narcissistic rivalry (NR) is negatively associated with such behavior. And the positive impact of NA on SEI can be explained by WRMB and social capital paths, while the negative impact of NR cannot.Originality/valueThis research is the first application of dual narcissism in the field of SEI, which provides a new way to explain the antecedents of SEI under the social network. The findings provide an effective reference path for social entrepreneurship education in universities and educational institutions and enlighten the correct distinction between dual narcissism in entrepreneurial psychological consultation.

This paper constructs an online community organizational double-layer learning structure model based on exploration-exploitation models. In this way, the authors examine the effect how double-layer online community learning as well as heterogeneous teams affects online work community organizational knowledge performance (OWCOKP) with leaders forgetting and without leaders forgetting. First, the results suggest an inverted-U relationship between the degree of different team member connectivity and OWCOKP. Second, as the leaders forgetting rate increases, the degree of different team member connectivity, which leads to the optimum OWCOKP also increases. Third, with or without leaders forgetting, moderate learning between members and that between the leader and members can improve OWCOKP within a team of online community. Fourth, in different teams, slow learning between leaders produces higher OWCOKP without leaders forgetting while moderate learning between leaders produces higher OWCOKP with their forgetting.

PurposeThis paper aims to investigate the inverse U-shape relationship between DM and accessing loans from the banks and explore the moderating effect of donation mode diversity.Design/methodology/approachBased on a survey dataset of 1,036 private firms in China, we use a Heckman two-stage estimation model to test hypothesizes.FindingsThe results show an invert U-shape relationship between donation magnitude and access to bank loan. The authors also find that donation mode diversity will positively moderate donation magnitude–bank loan relationship: the positive effect of donation magnitude will be stronger for the private firms using multiple channels of philanthropic donation.Originality/valueThis paper extends the literatures by examining how philanthropic donation behaviors in form of donation magnitude (how much to give) and donation mode diversity (how to give) influence private firms’ loan borrowed from the bank, an important but largely ignored stakeholder. Therefore, it suggests that both the amount and the channels of philanthropic donation could have significant roles in the efficiency of achieving strategic outcomes of corporate philanthropy.

Accidents occur frequently, causing huge losses to enterprises and individuals. Safety investment is an important means to prevent accidents, but how much to invest is a dilemma. Previous studies have assumed that the demand of safety investment follows some probability distribution. In practice, the distribution information of safety investment is usually limited or difficult to obtain, i.e., it is unknown. To deal with this kind of problem without a probability distribution, we construct the measures of marginal accident loss (MAL) and marginal opportunity loss (MOL) from the perspective of demand uncertainty. Robust optimization technology is utilized to establish three robust optimization models, which are the absolute robust models (ARM), deviation robust models (DRM), and relative robust models (RRM). The results of numerical analysis show that MAL is positively correlated with safety investment and MOL is negatively correlated with the uncertainty of safety investment. The above robust optimization models in this study can be applied to different enterprise’s risk scenarios. ARM, DRM, and RRM are suitable for high- and nonhigh-risk industries and other industries, respectively.

The effect of R&D teams on new product development has been recognised, but debates remain regarding the influence of experienced R&D teams on product uniqueness. This study identifies the type of ...

Based on an agent model combined with complex network analysis, this paper investigates the effects of different leadership styles and network structures on organisational learning in online work k...

This paper investigates the impact of privacy concerns on customers’ purchasing decisions and service providers’ pricing strategies in Smart-X systems. We develop profit maximisation models to test...

E-Commerce refers to such business behavior as conducting trades on a virtual network through the Internet. The core elements contributing to the success of online stores include not only the web-based presentation and the low-price strategy but the quality of online service as well. Importance-Performance Analysis is a method frequently used to evaluate performance and analyze competition strategies. Using IPA, this study analyzed and investigated the service quality of the online shopping of a case company and proposed 10 indexes to measure the service quality of online shopping. a number of suggestions on competition strategies were provided for the case company to improve its competition strategies.

Purpose This study aims to provide a time- and price-sensitive market strategy for merchants to handle the markdown price strategy. The market demand for perishable products is usually price – and quality (freshness) – sensitive. The proper handling of markdown-price strategies can help merchants enhance competitiveness and maximize operational performance. Design/methodology/approach A markdown strategy consisting of price and markdown time was developed to explore the properties of market strategies based on the dynamic quality evaluation. The strategy considers multiple price discounts and multiple markdown times. The optimal price decisions in each stage and the optimal markdown times were derived during the selling season. Findings The results showed the following. A retailer always raises the initial price if it wants to adopt multiple price-markdown strategies. A high initial price may lead to a high inventory at the early stage and bring the next price reduction in advance. Large price discounts can be used to reduce the inventory later. The higher the previous price, the shorter the interval between the next price reduction. The markdown strategies showed that the regular discount as a new business model is not the best pricing model for perishable products. A time- and price-sensitive strategy, however, can increase operational performance and provide new insights for perishable products. Originality/value The results showed the following. A retailer always raises the initial price if it wants to adopt multiple price-markdown strategies. A high initial price may lead to a high inventory at the early stage and bring the next price reduction in advance. Large price discounts can be used to reduce the inventory later. The higher the previous price, the shorter the interval between the next price reduction. The markdown strategies showed that the regular discount as a new business model is not the best pricing model for perishable products. A time- and price-sensitive strategy, however, can increase operational performance and provide new insights for perishable products.

The purpose of this study is to examine the effect of technological boundary-spanning search and crowdfunding interaction on crowdfunding innovation performance. The study investigated technology-o...

This paper studies the impact of fresh-keeping effort (FKE) investment strategies from the perspective of green transportation on a fresh-product supply chain (FSC) system for the purpose of reducing the emission of harmful gases and waste of resources. A supplier–buyer structure in an FSC system is modeled under two approaches consisting of the fixed FKE model and the variable FKE model. Then the paper analyzes the effect of optimal FKE level on retailer’s profit and product freshness under two different approaches, and finds that there is space to be improved in the two approaches which were further optimized. Finally, the proposed models are approved with a dataset from a real-life case study. Under the above two approaches, not only profits can be increased in retail enterprises but also the freshness level of fresh agricultural products (FAP) can be improved and reduced the consumption of resources. The results show that there is an optimal investment level of FKE under different strategies, and the maximum profit could be obtained by keeping fresh at this level. Moreover, the fixed FKE will not increase the average freshness of fresh produce in a sales cycle, and the adjusted FKE can effectively improve the average freshness.

In recent years the range of channels for customers to acquire products has generally expanded. The Smart-X system plays an essential role in pricing strategies, as fairness concerns could impact t...

This study aims to expose the “causal core” items of LibQUAL+™ from professional librarians’ views. The objective is to prioritize limited resources to improve the most influential factors affecting the library service quality. Valid LibQUAL+™ questionnaires from thirty-two university library administrators in Taiwan are collected for analysis. The Decision Making Trial and Evaluation Laboratory (DEMATEL) technique is employed to build causal maps that can clearly locate the twenty-two LibQUAL+™ question items into four quadrants: core causal, inferior causal, inferior effect, and core effect. The DEMATEL causal maps can facilitate the library administrators to prioritize the limited resources for improvement. Five “causal core” items of LibQUAL+™ are identified, including the library staff should be motivated with high willingness to help users and giving users individual attention; the library amenities should provide a quiet space for individual activities; the library Web site should allow users to locate and access information easily and individually. The survey data represent what professional librarians’ think of the service quality in their libraries. The findings may serve as useful guidance to allocate limited budgets for library service improvement. This paper has pinpointed the “core causal” items of LibQUAL+™ for advancing library administration. It is the first of its kind in the literature to use the DEMATEL technique to identify the “core causal” items of LibQUAL+™ for improving library service quality.

Green hotels emphasize safety, health, and environmental friendliness and advocate for green operations, green consumption, environmental protection, and the reasonable consumption of resources in operations. In short, environmental protection and moderate resource consumption are underscored. The literature on green hotel criteria and competitive strategies has two shortcomings. Some studies assume the independence of each criterion; these criteria are not mutually influential or causally related. By contrast, other studies set equal weights for all criteria. The present study explored the criteria and competitive strategies of green hotels by combining the importance-performance analysis (IPA) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method into the IPA-DEMATEL model.

Nowadays, enterprises are trying hard to reach sustainability when the industry faces the challenge of high cost in the era of meager profit. Companies with corporate sustainable approaches based on cost leadership are trying to reduce operational expenses, increase business efficiency, and implement comprehensive cost reductions within their organisations. Cost is a strategic issue for businesses to survive and stand out. The deployment of profit costs is becoming strategically important to be sustainable and competitive in the market. The research design of this study integrates both qualitative and quantitative methods. 143 valid responses to snowball sampling in Taiwan (108 responses) and mainland China (35 responses) and 24 interviews with executive-level employees in Taiwan were conducted. In addition, a total of 51 companies’ financial statements were reviewed to triangulate the foundation of research findings. Reducing costs strategically should be considered as a principal concern of a firm that wants to make its efforts for business sustainability. The result shows that nonstrategic costs are between 10 and 30 percent of the sales turnover (revenue) in a firm, and strategic costs normally account for 70 to 90 percent of its all costs. Furthermore, only 20% really makes a difference to stand out from other market players. This provides a new orientation of cost management opinion that there is a need for paying more attention and extending the concept of strategic cost management to the management of nonstrategic costs. It is also supported that the dichotomy of nonstrategic and strategic is a viable and practical way for managing all costs across sectors, industries, and business scales from a strategic and sustainable perspective.

The worldwide outbreak of the COVID-19 has significantly increased the fear of individuals, which brings severe psychosocial stress and adverse psychological consequences, and become a serious public health problem. Based on the imprinting theory, this study investigates whether childhood experiences of SARS have an imprinting effect that significantly influences the fear of COVID-19. Furthermore, we propose that this effect is contingent on the applications of AI and big data. We test our framework with a sample of 1871 questionnaires that covered students in universities across all provincial regions in China, and the results suggest that the imprinting of SARS increases the individuals' fear of COVID-19, and this effect is reduced with the applications of AI and big data. Overall, this study provides a novel insight of the fear caused by the childhood experience of the similar health crisis and the unique role of AI and big data applications into fighting against COVID-19.

Big data and the internet of things in smart cities play an increasingly important role in the health of urban residents. However, few studies have collected empirical evidence to determine whether the implementation of smart cities can have a positive impact on healthcare. Using three years of panel data from the CHARLS national baseline survey, we examined whether and how smart city construction affects the health status of residents. The results show that the construction of smart cities improves residents’ health status. This relationship is achieved by reducing the use of outpatient services and increasing the utilization of inpatient services. Furthermore, compared with urban residents, rural residents show more significant behavioural changes in their use of medical services under the influence of smart city construction.

Highlights • Organizations in the hospitality industry need to ensure safe operation by facilitating employee compliance with COVID-19 safety measures. • A deep approach towards compliance with COVID-19 is a four-stage psychological process including 1) heightened risk and health awareness, 2) perceived utility value, 3) behavioral adaptation, and 4) integration. • This deep compliance is driven by both management COVID-19 safety practices as well as organizational crisis response strategies that prioritize safety and maximize job security., The COVID-19 health crisis has engendered a set of additional health and safety regulations and procedures (e.g. social distancing) to the hospitality industry. The purpose of this paper is to explore in-depth how organizations can facilitate employees’ deep compliance with these procedures. Employing an instrumental case-study approach, we collected multi-level interview data and archival data in a small-medium sized restaurant in China. The findings reveal that employees’ deep compliance with safety procedures includes a four-stage psychological process, and this process is underpinned by both management safety practices and organizational crisis strategies. As the hospitality industry starts to exit lockdown and ramp up operations, this study offers theoretical and practical insights on how organizations in hospitality can protect the health and safety of their employees and the broader community.

The emergence of Internet product sales platform has not only greatly enriched consumers’ choices and facilitated their purchasing behavior but also provided space for counterfeit products and relevant fraudulent signal strategies in China, which damage the consumer’s rights and interests and further disrupt the normal order of the e-commerce market. However, effective empirical study on the long-term and dynamic influence mechanism of fraudulent signals of counterfeit products and the seller incentive mechanism is still unavailable in academic circles, especially in the Chinese market, where government regulation is deemed to be lacking. For the purpose of this paper, an empirical study has been conducted by virtue of Internet e-commerce platform data based on data capture technology to analyze the dynamic performance effect mechanism of e-commerce fraudulent signals of counterfeit products under multiple game conditions. The study results show that selling of counterfeit products by using fraudulent signals can improve the current sales performance, but it will cause a long-term performance decline consequently. Additionally, from the perspective of the pricing mechanism, this paper analyzes the said seller incentive mechanism of counterfeit products. Finally, this paper puts forward relevant management suggestions based on the empirical study findings.

Response to online customer reviews helps increase sales. Extensive research has been carried out on this topic discussing tactics of response, while few scholars looked at it from the social network perspective. The problem is not how to respond but to whom to respond. Essentially, it is an effective online social network, not a response itself that generates trust and sales. In this paper, our main work is to use basic theoretical tools of social network theory to reveal the nature of the relationship between online response and performance. We use a web crawler to scrape data and get a sample of 3379 sellers from a B2B website. The regression results are consistent with the theoretical derivation and provide strong evidence for our assumptions and hypothesis. Sellers’ response to online customer reviews, especially to negative reviews, has a significant positive effect on its sales. Seller’s product price and product heterogeneity play moderating roles in the relationship above. Therefore, sellers should actively participate in online social conversations and get embedded in online social networks. Sellers should see pricing and product diversification strategies as important factors in the networking process. E-commerce platform companies should provide the necessary technical support to accelerate the formation of online communities. Producers should cooperate more with sellers and make full use of the customer review information for product improvement and innovation.

Factors affecting online businesses are complicated and intertwined. To stimulate online sales, understanding of key influential factors and causal relationships among the factors is important. This paper introduces a hybrid method, called the DANP method, to expose the driving factors that most influence the online businesses. A hierarchy of fourteen criteria in six dimensions is formed to denote the influence levels and weights of factors. The causal graph shows that “Uncertainty” dimension has the highest degree of direct impact on other dimensions; thus, strong efforts should be made to eliminate the influence of this dimension throughout the online shopping process. In addition, the results also show “perceived price” to be the greatest important criterion among all; thus, it should be treated with top priority to boost the online businesses.

The purpose of this study was trying to explore the influence and relationship between knowledge transfer usefulness, management, initiative, and innovation. The instrument was constructed through literature review and related research scales. Total 26 items were retrieved from related study and modified dependent on exports' recommendations. Total 1,012 valid data were collected based on judgment sampling. The Cronbach's a of instrument was ranged from .878 to .948. The construction validity test was passed. The analysis result shows that knowledge management play strong partial mediator role between knowledge transfer usefulness and knowledge innovation, meanwhile, knowledge transfer usefulness was also the important predictor to knowledge innovation. Hence, the proactive knowledge transfer has moderation effects between knowledge management and knowledge innovation. The research model was established and some conclusions and suggestions were discussed base on the research findings.

This editorial introduces the issue of Macro Management & Public Policies, which focuses on how positive ways can boom sustainable development, how inappropriate policies inhibit the development, or even cause intense problems such as risks of wars. The outcomes show some implicaitons, first of all, management and policies has dual effects. On the one hand, effective management and policies contribute to resource protection, quality enhancement, and successes of social movements. On the other hand, political unfairness may cause crisis in international society. Moreover, law priority has comprehensive influence on development. Keeping economic and social development, authorities should balance economic growth and environmental protection, keep consistency between regulations and implementation, and ensure effective supervision.

High-polluting industries are important sources of pollutant emissions, and closely related to many environmental issues. High-polluting firms face the pressure to exploit technological innovation for improving their environmental operations. This paper explores the impact of corporate social responsibility and public attention on the innovation performance of high-polluting firms. Based on a sample of China&rsquo, s listed firms in high-polluting industries from 2011 to 2016, we use a panel data model to investigate the associations among corporate social responsibility, public attention and innovation performance. The results show that there is a positive association between corporate social responsibility and innovation performance. There is a positive association between public attention and innovation performance as well. The pressure of regional economies can hinder innovation performance. Furthermore, in the subsample of state-owned enterprises, the association between public attention and innovation performance is more pronounced. Meanwhile, the corporate social responsibility of non-state-owned enterprises plays a stronger role for innovation performance, but its effect will be limited by the pressure of regional economies. Our results can help high-polluting firms implement the innovation strategies for obtaining more environmental benefits and achieving sustainable development.

The aim of this chapter is to highlight implications of the proposed model and propositions in Chapter 4 and 5 for employee proactivity research. The chapter firstly discusses how attachment theory provides a different angle from alternative approaches to understand relational basis of employee proactivity. Then it elaborates how the attachment theory strengthens a dispositional approach to understand employee proactivity and the value of the proposed model in integrating the different conceptualizations and motivational mechanisms in proactivity research. Finally, the chapter indicates avenues for future research on employee proactivity specifically and elaborates how attachment theory can help us to understand work behavior broadly.

Goal orientation is an important psychological attribute for employees, as it has been found to predict a wide range of work‐related outcomes. Although goal orientation has been well‐studied, little is known about the extent to which individuals’ stable, trait‐like goal orientation can be changed and about whether some individuals are more likely than others to engage in such intrapersonal change. In this study, we examined an intervention program designed to change individuals’ trait‐like goal orientation. The results from 132 full‐time managers and professionals participating in a part‐time MBA course revealed that, on average, participants’ performance‐avoid orientation was lessened as a result of the intervention, while there was no overall change in learning orientation, perhaps due to ceiling effects. Furthermore, evidence showed individual variation in these changes. Drawing on adult attachment theory, we investigated and showed the critical role of facilitator support and individuals’ attachment styles in shaping intrapersonal changes in goal orientation. Facilitator support resulted in fostering greater positive change, particularly for individuals with high levels of anxious attachment. Implications are discussed in terms of advancing theories on personality change and goal orientation, as well as designing interventions to support the development of positive psychological attributes.

This review examines literature from 2011 to 2020 on information and communications technologies (ICTs) and blockchain technologies (BTs) in agriculture. To describe the status of the subjects and identify issues for future research, we utilized bibliometric and content analyses of leading journals. The main findings are: (1) ICT technique adoption is affected by application design and socio-demographic factors, while research in BTs in this area only focuses on application design factors; (2) ICTs and BTs have similar applications in agricultural production (information provision for efficient decisions and production improvement), logistics (tracing), and supply chain (trust-building); (3) ICT techniques are applied more to production improvement, while BTs focus more on using visibility, traceability, and automation to improve transparency and transaction efficiency in whole sectors; (4) in relation to consumption, ICTs focus on balancing supply and demand to achieve market stability, while BTs investigate effects on consumer purchasing decisions. Insights are also proposed for future research based on common challenges in the application of ICT and blockchain in agriculture in the following areas: (i) security and privacy protection; (ii) solutions for scalability and interoperability; (iii) solutions for high cost and high consumption, and demands for high knowledge in technology application; (iv) formulation of policies and regulations related to standard criteria for market stability. This review provides a basis for studying the combination of ICTs and BTs in agriculture and furthers the understanding of their usage by comparison; this has significant implications for technological development and agricultural sustainability.

How can hospitality employees be prevented from engaging in unethical behavior toward customers with the intention of helping their organization (i.e., from displaying unethical pro-organizational behavior directed at customers, UPB-C)? Drawing on ethical decision-making (EDM) theory, we propose that organizational punishment for unethical behavior and service climate will jointly inhibit UPB-C via moral disengagement. We test our hypotheses across two studies. In Study 1, using a sample of 122 frontline service employees, we find that, when both organizational punishment for unethical behavior and service climate are higher, UPB-C is lower. In Study 2, we replicate the above findings using a two-wave panel data from a sample of 191 employees who had service roles in the hospitality industry, and further indicate the role of moral disengagement in explaining the interactive effects of organizational punishment and service climate on UPB-C.

Employee voice is almost exclusively thought to stem from well- intended motives, even though some scholars have argued that it may be self-interested. In this paper, we introduce a new type of emp...

Organizations are increasingly introducing online platforms to facilitate knowledge sharing within the organization. Nevertheless, not all employees actively participate in knowledge sharing on onl...

There is currently no consensus on the relationship between environmental regulation and enterprise innovation. Moreover, empirical studies on this topic have generally been based on government indirect environmental regulation data. To examine this relationship further, this study uses government direct environmental regulation (GDER) data. Here, enterprise innovation is measured by innovation investment. Additionally, innovation investment is divided into two stages, a research stage and a development stage, to explore the effect of GDER on heterogeneous innovation investment. Furthermore, this study examines the impact of executive compensation on GDER and innovation investment, specifically looking at the two stages of innovation investment. The results indicate that GDER has a negative impact on heterogeneous innovation investment and executive compensation has different moderating effects: strengthening the negative relationship between GDER and research investment, while weakening the negative relationship between GDER and development investment. This study offers new insights into the relationship between environmental regulation and enterprise innovation considering the impact of executive compensation.

The relationship between the entrepreneurial team and performance has been a focus of intensive study over the past years. However, it is still inconclusive if entrepreneurial team promotes or inhibits entrepreneurial performance. In this study, we used 421 samples from 20 entrepreneurial teams to build a mediated moderation model from the conflict management perspective. We used this model to test the role of team diversity and team environment in modulating the relationship between the entrepreneurial team and performance. The results showed that conflict management plays an important role in modulating the relationship between the entrepreneurial team and performance, and the effect of the mediation is significant. In addition, team heterogeneity and team environment have a significant impact on the relationship between the entrepreneurial team and performance. Importantly, this modulatory effect is mediated through conflict management. Specifically, the relationship between the entrepreneurial team and performance is positively regulated by task-related diversity.

Corporate social responsibility (CSR) refers to corporations exhibiting ethical behaviours towards societal members. This responsibility should be demonstrated towards all stakeholders rather than only stockholders. Corporations should be responsible for the effects that their actions have on stakeholders by assuming a fair and responsible attitude and valuing sustainable development. Corporations that affect their stakeholders must assume their responsibilities by focusing on sustainable development and exhibiting a fair attitude; for example, providing staff members with a positive work environment, introducing green products, sustaining environmental quality, offering satisfactory after-sales services and maintaining positive interaction with the community. Relevant studies that have integrated green production (GP) with CSR evaluation were scarce in the past. Moreover, previous studies regarding standard criteria for CSR evaluation have involved a major shortcoming, in that a majority of these studies...

The feature selection function in data mining facilitates the classification of vast data volumes and reduces attribute variables, enabling the construction of classification prediction models. For binary data, the Mahalanobis–Taguchi system, the logistic regression method, and the neural network method all feature high stability and accuracy. The Mahalanobis–Taguchi system differs from the other two methods in that models are developed through a measurement scale rather than from the learning of analytical data. We analyzed the audit quality of Taipei City Government public procurement from supply chains (hereafter abbreviated as public procurement) and applied the three feature selection methods to determine the items used in public procurement audit quality questionnaires. The results showed that the predictive powers of Mahalanobis–Taguchi system and logistic regression methods for the reduced question items were 93.8% and 92.5%, respectively. Furthermore, the prediction accuracy rate of the neural network method was 100%, showing that the prediction model constructed using the feature selections to reduce the number of attributes can effectively lower the number of questionnaire items while maintaining high prediction accuracy.

Factors affecting online luxury goods sales are complicated and intertwined. To stimulate online luxury goods sales, understanding of key influencing factors and causal relationships among the intertwined factors is of essential importance. To this end, this study first divides factors affecting online luxury goods sales into two distinct aspects: perceived benefits (PB) and perceived risks (PR), and then introduces a duo-theme Decision Making Trial and Evaluation Laboratory (DEMATEL) approach for the depiction of the driving factors that have the most effects on others in both aspects. An example of online luxury bags sales, from e-retailers’ perceptions, is presented. Results show that “wider selection” is the foremost driving factor, followed by “convenience,” “better price,” and “cost” in the PB aspect; whereas “trust and security” is the most influential driving factor, followed by “uncertainty” in the PR aspect. Accordingly, the luxury bags e-retailers are suggested to offer more information...

As organizations grow increasingly complex and unpredictable, the topic of proactivity at work has become of great importance for contemporary workplaces. Proactivity drives performance and innovation of teams and organizations and boosts individuals’ well-being and careers. When individuals are proactive, they use their initiative at work to bring about a better future. They scan for opportunities, persist until change is achieved, and take charge to prevent problems’ future reoccurrence. In this book, leading scholars on proactivity from across North America, Europe, Asia, and Australia explore how, why, and when individuals are motivated to initiate change within their organizations or themselves and examine the consequences of various forms of proactivity at work. Individual chapters explore specific concepts of proactivity, such as proactive voice, job crafting, and career proactivity, as well as highlight individual processes and organizational dynamics that underlie successful proactivity at work. By providing insights on key advances and future directions for proactivity theory, research, and practice, Proactivity at Work synthesizes what we already know and identifies what we still need to learn about making things happen at work. This book is relevant to all those involved or interested in Work Psychology and Business, including Human Resource Management scholars.

The purpose of this study was to explore the relationships among employees' usage intention pertaining to mobile information devices, focusing on subjective judgement, technology acceptance tendency, information sharing behavior and information transfer. A research model was established to verify several hypotheses. The research model based on integrated concepts of knowledge management and technology acceptance modeling. Participants were employees of enterprises in Taiwan, selected by combining snowball and convenience sampling. Data obtained from 779 e-surveys. Multiple-regression analysis was employed for hypothesis verification. The results indicate that perceived ease-of-use of mobile devices was affected by computer self-efficacy and computer playfulness directly; meanwhile, perceived ease-of-use directly affects perceived usefulness. In addition, perceived ease-of-use and perceived usefulness can predict information-sharing behavior in a positive manner, and impact knowledge transfer as well. Based on the research findings, it suggested that enterprises should utilize mobile information devices to create more contact with customers and enrich their service network. In addition, it is recommended that managers use mobile devices to transmit key information to their staff and that they use these devices for problem-solving and decision-making. Further, the staff's skills pertaining to the operation of mobile information devices and to fully implement their features are reinforced in order to inspire the users' knowledge transfer. Enhancing the playfulness of the interface is also important. In general, it is useful to promote knowledge transfer behavior within an organization by motivating members to share information and ideas via mobile information devices. In addition, a well-designed interface can facilitate employees' use of these devices.

s Introduction With the number of tourists coming to Taiwan growing by 10–20 % since 2010, the number has increased due to an increasing number of foreign tourists, particularly after deregulation allowed admitting tourist groups, followed later on by foreign individual tourists, from mainland China. The purpose of this study is to propose a revised gap model to evaluate and improve service quality in Taiwanese hotel industry. Thus, service quality could be clearly measured through gap analysis, which was more effective for offering direction in developing and improving service quality. Case description The HOLSERV instrument was used to identify and analyze service gaps from the perceptions of internal and external customers. The sample for this study included three main categories of respondents: tourists, employees, and managers. Discussion and evaluation The results show that five gaps influenced tourists’ evaluations of service quality. In particular, the study revealed that Gap 1 (management perceptions vs. customer expectations) and Gap 9 (service provider perceptions of management perceptions vs. service delivery) were more critical than the others in affecting perceived service quality, making service delivery the main area of improvement. Conclusion This study contributes toward an evaluation of the service quality of the Taiwanese hotel industry from the perspectives of customers, service providers, and managers, which is considerably valuable for hotel managers. It was the aim of this study to explore all of these together in order to better understand the possible gaps in the hotel industry in Taiwan.

Background Under the rapid change of the global financial environment, the risk control of the credit granting is viewed as the foremost task to each bank. With the impact one by one from financial crisis and European debt crisis, the steady bank business is also facing the severe challenge. Banks approve the credits for their customers and then make money from the interest. Case presentation Credit granting is not only the primary job but also the main source of income. The quality of credit granting concerns not just the reclaims of creditor’s rights; it also affects the successful running of banks. Discussion and Evaluation To enhance the reliability and usefulness of bank credit risk assessment, we first will delve in the facets and indexes in the bank credit risk assessment. Then, we will examine the different dimensions of cause–effect relationships and correlations in the assessment process. Finally, the study focuses on how to raise the functions and benefits of the bank credit risk assessment. Conclusions In those five credit risk evaluation dimensions, A “optional capability” and D “competitiveness” are of high relation and high prominence among those dimensions, influencing other items obviously. By actively focusing on these two dimensions and improving their credit risk assessment ability will solve the foremost problems and also solve other facets of credit risk assessment problems at the same time.