Search

This study investigates the impact of liquidity ratios, solvency ratios, and ESG scores on the operational performance of companies in ASEAN, and examines the moderating role of the CEO's education level. Data was collected from non-financial companies in ASEAN for the period 2018-2022 using the Refinitiv Eikon database and other public sources. A deductive to inductive approach and panel data regression analysis techniques were employed for data analysis. The findings reveal a significant positive effect of liquidity and ESG on operational performance, while solvency does not have a significant impact. Additionally, the study shows that the CEO's education level significantly moderates the relationship between Liqudity, Solvency, and ESG scores on operational performance. This research contributes to a better understanding of the factors influencing the operational performance of companies in ASEAN and its implications for decision-making and sustainable practices. It highlights the important role of the CEO's education level in this context and extends existing knowledge by broadening the scope of independent variables and confirming previous findings. [ABSTRACT FROM AUTHOR]

The relationship between entrepreneur's gender and business performance has been studied in existing literature assuming that it is a straight-forward direct relationship. Instead, in this study we examine how gender affects business performance through the introduction of innovations. Our aim is to explore the differences between men-led and women-led businesses as regards the performance results they obtain from innovating. We use a sample of 1376 Spanish small and medium enterprises (SMEs) to analyse the effect of entrepreneur's gender on business performance considering the mediating effect of innovations, that is, the possibility that gender indirectly influences business performance by affecting the introduction of innovations. Using econometric techniques, we estimate discrete choice models to investigate the relationship amongst gender, innovations and performance. Our main results show that men-led SMEs are more likely to achieve superior performance from innovations, and particularly, from their higher propensity to implement process innovations, in comparison to women-led SMEs. One limitation of our study is that data is cross-sectional, so that caution is needed regarding the causal interpretation of results. We contribute to uncover the role of gender on SMEs performance and the need to incorporate a policy gender perspective when dealing with enhancing SMEs innovativeness and performance. [ABSTRACT FROM AUTHOR]

The purpose of this paper was to emphasize the importance of data accuracy within internal logistics systems and their extended influence on supply chains in automotive industry through 6-month multiple case studies conducted on 3 first tier original equipment manufacturers (OEM) based in Western Romania. The study investigates the most common causes of data inaccuracies among automotive suppliers and their approaches to reduce consequential supply chain issues and be more agile. Data collection and analysis revealed that main issues arise due to ordering quantities mismatching actual customer demand, a wide range of order lot sizes, lead times and delivery reliability concerns and the reluctance to shift away from mainstream cost-effectiveness and towards strategic added value thinking. These issues sourced significant other related operational challenges such as excessive inventory, short-term stockouts and subsequent express shipping services or product-related inconveniences (quality and capacity levels, contracted volumes and dedicated lines). The paper sources different logistics and supply chain strategies used by the 3 OEMs, their features and operational performance, as well as their overall effectiveness, which can be applied by other automotive industry suppliers to improve own results. Introducing more reliable real-time data collection tools and performance metrics has started hauling more focus towards solving these prevalent issues with some ongoing improvement projects showing up to 25% better results. For one of the 3 OEMs introducing a new warehouse management system has already sourced an overall quality increase (5 percentage points) due to a 60% higher utilization of its production equipment. [ABSTRACT FROM AUTHOR]

To fill a gap in current literature, this paper analyses the impact of human factors on the operational performance of innovation hubs in the SAARC Nations and the European Union. Upon conducting an extensive examination of academic literature, four primary classifications of human factors were determined: organizational factors, individual attributes, the nature of a task and working environment. This research offers a cross-sectional analysis of these factors and their implications on innovation centres in the culturally and economically diverse domain of SAARC Nations and the European Union. The findings suggest that organizations functioning in the context of Innovation hubs in SAARC Nations, where centralized authority and value correctness is mostly emphasised on, face challenges in order to foster employee engagement and creativity. However, the innovation hubs of the European Union receive treatment from a more flexible and tolerant approach which is backed by progressive technology and is incredibly sensitive to concerns touching on ergonomics and safety of the working environment. This research highlights High performing, High committing, and High involvement management, management techniques to manage human factors to enhance operation performance. Adaptive and individual approach to the management of human variables, based on the differences in cultural and economic conditions of each region, is essential for effective development of the innovative substance and competitive advantage, the paper states. The results obtained from this study offer important guidance for the policymakers, managers and practitioners who are involved in managing and creating innovation hubs. It has provided a framework of how the organisation's operation performance may be improved through effective management of human resources. [ABSTRACT FROM AUTHOR]

Eco‐innovation capability's enhancement of the operational competitiveness of Energy Service Companies (ESCOs) remains under explored in emerging markets. Furthermore, limited evidence exists on the influence of ownership structure on eco‐innovation capability and operational performance. This study therefore examines the relationship between eco‐innovation capability, ownership structure and operational performance of ESCOs. Questionnaires are electronically distributed to Operations Managers of 287 ESCOs registered by the Energy Commission in Malaysia. To test the direct and moderating effects, Partial Least Square‐Structural Equation Modeling (PLS‐SEM) is applied on 136 valid responses. Results suggest Eco‐innovation Capability significantly enhances ESCOs operational performance, with the model explaining 66% (R2 = 0.656) of the variance. Furthermore, a concentrated ownership structure resulted in higher eco‐innovation capability and operational performance. These results provide pathways for industry practitioners to improve sustainable development contributions and operational performance whilst providing policymakers with a benchmark towards evaluating the effectiveness of the National Energy Policy. [ABSTRACT FROM AUTHOR]

The aim of this research is to analyze the effect of Enterprise Risk Management (ERM) implementation on Operational Performance and Firm Value in the Agricultural Industry sector during the 2016-2022 period. The information about ERM is taken from the annual reports, management reports and annual corporate governance reports disseminated over seven years (2016-2022). The data on firm performance have been obtained through financial report and the Eikon Refinitiv database of LSEG. Through a quantitative approach and panel data with linear regression, this study found that ERM contributes significantly to improved operational performance and firm value (measured through, Return on Assets and Tobin's Q). These results show that the effective implementation of ERM can be an important strategy for improving the competitiveness and resilience of agricultural enterprises to the risks faced. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to analyze the role of organizational learning capability and entrepreneurial orientation on frugal innovation and, consequently, operational performance within the Brazilian textile industry. Design/methodology/approach: The sample consisted of 257 valid questionnaires from the textile industry in the state of Santa Catarina, Brazil. Data were analyzed using structural equation modeling using SmartPLS software. Findings: The results showed that organizational learning capability is a strong driver of the operational performance when mediated by frugal innovation. Evidence also showed that relationships between entrepreneurial orientation, organizational learning capability, frugal innovation and operational performance are significant once the direct effect has more power than the indirect effect. Results elucidated different outcomes that are not in accordance with previously seen studies. Moreover, the latter shines a light on a possible interference caused by the COVID-19 pandemic. Originality/value: The study clarifies the relationship that entrepreneurial orientation and organizational learning capability unleash in frugal innovation and operational performance. It also shows a new situation when looking at the relationship between entrepreneurial orientation, organizational learning capability and operational performance. [ABSTRACT FROM AUTHOR]

This research aims to determine and analyze the simultaneous influence of supply chain management, innovation strategies, and total quality management on operational performance in clamp ring production at PT. Pramesta Baja Utama. The method used in this research is a quantitative descriptive method. Data processing was conducted using statistical analysis with a regression model aided by SPSS 26. The sampling method used was saturated sampling, where all members of the population were included as samples. In this study, the sample consisted of 100 employees as respondents. The tests conducted included instrument feasibility tests, classical assumption tests, partial T-tests, simultaneous F-tests, and determination coefficients. It was found that supply chain management had an influence on operational performance in clamp ring production at PT. Pramesta Baja Utama, but the effect was not significant. Based on various analyses and data processing conducted to explore the factors that contribute to improving operational performance, it can be concluded that supply chain management, innovation strategies, and total quality management have a positive and significant simultaneous impact on the operational performance of clamp ring production. [ABSTRACT FROM AUTHOR]

Firms benefit from being reliable and trustworthy towards their customers. In many countries, however, corruption spills over to supply chain relationship practices and weakens a firm's credibility towards its customers (CTC). In this study, we investigate the influence of corruption on the relationship between CTC and firm performance. Empirical analyses of manufacturing firms in multiple countries demonstrate that corruption diminishes the effect of CTC on firms' operational performance. Moreover, a country's information and communication technology (ICT) readiness can counteract the negative impact of corruption. Our study adds to the literature on supply chain relationship management by considering the influence of two institutional contingencies (i.e. corruption and ICT readiness) on the effectiveness of CTC as an important mechanism of supply chain governance. Our study complements the literature on transaction cost economics and urges managers to consider the two characteristics of their firms' institutional environments when managing relationships in their supply chains. [ABSTRACT FROM AUTHOR]

Purpose: Given the sudden increase in plant investments across the manufacturing sector due to recent disruptions in the global supply chain caused by the COVID pandemic, the Ukraine/Russian war, ocean piracy incidents, and others, there is a need to strategically align the investments decisions with the overall business strategy. This study aims to establish whether strategic alignment enhances the effect of plant investments on operational performance. Design/methodology/approach: Using the fifth version of the Global Manufacturing Research Group (GMRG V) dataset, we employ a structural equation model (SEM) to establish the moderating role of strategic alignment in plant investments-operational performance relationships. Findings: The results suggest that strategic alignment enhances the positive effect of plant investments on operational performance, especially in cost, delivery, flexibility, and innovation. However, we found partial support for the moderating role of strategic alignment on quality performance. Research limitations/implications: Although the study was based on the GMRG global dataset and numerous papers have been published using the same dataset, the use of a convenience sample on a select group of companies may limit the generalizability of the results. With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes. Practical implications: With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes. Originality/value: The study comprehensively demonstrates that the extent of improvement in operational performance depends on how closely plant investment decisions align with the overall company strategy. Manufacturers should align major investment decisions with competitive priorities driven by market requirements to enhance operational performance. [ABSTRACT FROM AUTHOR]

Abstract A considerable amount of research has been conducted to explore the concept of supply chain agility as the primary management strategy for achieving a competitive edge in a constantly changing and unstable business environment. Much of this research has focused on understanding the impact of supply chain agility on performance outcomes. However, the findings from empirical studies have been scattered and, in many cases, contradictory in terms of the functional implications of supply chain agility.To address this, it is crucial to consolidate and compare the results of these experimental studies using a meta-analysis approach. Therefore, the present research aimed to examine the influence of supply chain agility on both relational and operational performance by employing a meta-analysis approach. Nineteen final studies were identified and their information was entered into the CMA2 software based on the Prism protocol.The results clearly demonstrate that supply chain agility significantly affects relational and operational performance, with a stronger influence observed on relational performance compared to operational performance. Furthermore, the analysis conducted identified the moderating variable of the type of industry, where the agility of the supply chain has a particularly strong impact on relational and operational performance within unique industries. Introduction Extensive research has been conducted since 1993, when agility was first conceptualized by Goldman, to study the impact of supply chain agility on performance. The studies have used different indicators to measure performance, some of which overlap with each other while others do not.Moreover, the findings regarding the influence of supply chain agility on performance outcomes have been inconsistent and contradictory. Therefore, there is a need for a study that summarizes and compares the results of previous studies, in order to resolve these contradictions and determine the specific consequences associated with supply chain agility. It is important to understand whether supply chain agility is functionally related or has a stronger effect on certain outcomes. A systematic review with meta-analysis is a method that can address this research gap.Tcurrent study aims to answer the following key questions: What are the functional consequences, both relational and operational, of supply chain agility once the variables are operationalized? How does supply chain agility impact each of these performance outcomes? Additionally, what are the moderator variables that affect the causal relationship between supply chain agility and relational as well as operational performance outcomes?Materials and Methods The aim of this study was to conduct a systematic review through meta-analysis to investigate how supply chain agility affects performance outcomes. Given the large number of studies conducted in this field since the introduction of agility in 1993 by Goldman et al., up until 2023, it is clear that a secondary study is necessary. Therefore, we performed this present meta-analysis study using the Prism protocol to identify high-quality studies related to this topic, with the goal of encompassing all relevant studies conducted until 2023 and resolving any existing contradictions. The Prisma protocol was utilized to identify and select suitable studies for analysis, following a four-stage process of identification, monitoring, eligibility, and inclusion in the analysis dataset.Throughout the coding process, it became apparent that many studies employed similar scales with different names to measure functional outcomes. When there was a significant overlap in indicators or structures, we compared these studies. To achieve this, we used the MAXQDA software to qualitatively code all functional outcomes from different studies. Overlapping codes were then assigned names and operationalized within a new framework. In order to convert the statistical information into fixed or random effect sizes, the CMA2 software was employed during this systematic review. Discussion and Results The analysis of studies conducted using MAXQDA software revealed that the impact of supply chain agility can be categorized into two main areas: relational and operational performance. The results of a meta-analysis on previous studies confirmed that supply chain agility has a positive effect on operational performance, which was found to be higher than the average level.ConclusionIn line with the results of the present research, managers and policy makers are suggested to provide the context for the joint use of information and financial resources among supply chain partners. The synergy created in this way increases the speed of the companies' actions in identifying the special needs and demands of the market and provides the possibility of timely response. On the other hand, with the extensive cooperation that the companies will have with each other, they can transform the existing market arena and change the market variables in their favor.

Featured Application: This review provides a comprehensive analysis of the integration of Computer-Aided Design (CAD) and Additive Manufacturing (AM) specifically for automotive prototyping. The findings and methodologies discussed have direct applications in the development of lightweight, high-performance automotive components. By leveraging the advanced capabilities of CAD and AM, manufacturers can rapidly prototype and iterate designs, leading to significant reductions in development time and cost. This approach is particularly valuable in the production of custom components, where precision and material optimization are critical. The methodologies outlined in this work have the potential to be applied not only in the automotive industry but also in other sectors where rapid prototyping and precision engineering are essential. This study investigated the integration of computer-aided design (CAD) and additive manufacturing (AM) in prototype production, particularly in the automotive industry. It explores how these technologies redefine prototyping practices, with a focus on design flexibility, material efficiency, and production speed. Adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, this study encompasses a systematic review of 28 scholarly articles. It undertakes a comprehensive analysis to identify key themes, trends, and gaps in the existing research on CAD and AM integration in automotive prototyping. This study revealed the significant advantages of CAD and AM in prototype manufacturing, including improved design capabilities, efficient material usage, and the creation of complex geometries. It also addresses ongoing challenges, such as technology integration costs, scalability, and sustainability. Furthermore, this study foresees future developments by focusing on enhancing CAD and AM technologies to meet evolving market demands and optimize performance. This study makes a unique contribution to the literature by providing a detailed overview of the integration of CAD and AM in the context of automotive prototyping. This study incorporates valuable insights into the current practices and challenges and future prospects, potentially leading to more advanced, sustainable, and customer-oriented prototyping methods in the automotive sector. [ABSTRACT FROM AUTHOR]

Bridges are fundamental facilities in the transportation system, and their operational performance is crucial for economic and social development. Many large bridges are now equipped with structural health monitoring (SHM) systems that collect various types of real-time data. However, our user study found that despite the accumulation of massive amounts of monitoring data, current analysis methods cannot efficiently process large-scale, high-dimensional data. To address this, we have developed BOPVis, a visualization system for bridge monitoring data. BOPVis allows users to intuitively locate sensors and extract corresponding data from a 3D digital model of a bridge. It also provides convenient and flexible interactions for examining trends over time and correlations across hundreds of monitoring channels. A real-world long-span suspension bridge in China is used as a case study to demonstrate the advantages of the BOPVis system for operational performance mining. Through BOPVis, the global temperature deformation behaviors of the bridge are explored and found to align with the physical mechanism documented in the SHM literature. The BOPVis system, with its interactive visualization analysis capabilities, offers a new method for analyzing bridge monitoring data. [ABSTRACT FROM AUTHOR]

The research examined the effect of top management commitment (TMC) on operational performance and the mediating effect of green production. The study selected 219 manufacturing companies of Iraq. The result analyzed the direct effect of TMC on green production and operational performance. Also, the effect of green production on operational performance is analyzed. In addition, the mediating effect of green production between the association of TMC and operational performance analyzed. So, the direct and also indirect results found in the study were significant. This finding offers crucial understanding for managers in the manufacturing business, indicating that a strong commitment from top management and the use of green production may improve operational performance. Moreover, this study expands on the findings of prior research about the correlation between TMC and GP in enhancing OP. Therefore, this study enhances the existing research in Structural Equation Model (SCM). [ABSTRACT FROM AUTHOR]

This study examines the role of cost-driven, focused, innovative, and human resource outsourcing in determining the organizational performance of the healthcare industry in Abu Dhabi, AUE. This study also examines the moderating role of information sharing on the relationship between strategic outsourcing factors and the operational performance of the healthcare industry in the UAE. Furthermore, a range of statistical methods like descriptive statistics, correlation matrix, normality testing, and cross-tabulation for demographic analysis have been conducted for the data analysis. A questionnaire was developed by extracting the items from the existing literature for data collection. A two-step approach entitled measurement model and structural model assessment is also proposed to examine the internal validity, construct reliability, consistency, and hypothesis testing. Besides, theoretical foundations like a resource-based view of the firm and core competency are also under consideration in this research. A sample of 349 questionnaires has been observed as valid enough for data analysis as collected through random sampling. The measurement model findings confirm the construct's reliability, convergent, and discriminant validity. Moreover, the results through the structural model confirm a significant and positive impact of cost-driven outsourcing, focus-driven outsourcing, innovation-driven outsourcing, and human resource outsourcing on the operational performance of the healthcare industry. A few practical policy implications have been provided based on the empirical findings. Besides, future studies are well-directed based on the critical limitations of this study. [ABSTRACT FROM AUTHOR]

The purpose of this study is to examine the impact of strategic outsourcing on the operational performance of the healthcare industry in UAE. Moreover, it also investigates the moderating role of information sharing on the relationship between outsourcing factors and operational performance. Data was collected through questionnaire approach where the key respondents were the top management team of both public and private hospitals. A valid response rate of 349 questionnaires have been collected for the data analysis with the help of measurement model and structural model. The findings through measurement model confirms that there is a presence of model's reliability, convergent validity, and discriminant validity as examined through selected items of the operational performance and key exogenous constructs. Moreover, the findings through structural model confirms that there is a significant and positive impact of cost-driven outsourcing, focus-driven outsourcing, innovation-driven outsourcing, and human resource outsourcing on the operational performance of healthcare industry. Additionally, the findings show that information sharing significantly and positively moderates on the relationship between cost-driven outsourcing and operational performance, and innovation-driven outsourcing and operational performance. Based upon the findings, a few policy implications have also been provided. [ABSTRACT FROM AUTHOR]

This study investigates the effects of efforts to digitally transform on cost effectiveness in banking services for retail customers. As the banking industry embraces digital technology, understanding the link between these efforts and operating expenses becomes crucial for sustaining a competitive edge. A descriptive study approach was used to obtain data from a sample of workers at various retail banks via structured questionnaires. The data, which were analysed using ANOVA, show a substantial association between technological change efforts and financial efficiency, implying that improvements in technological capacity lead to better operational performance. To maximise the advantages of digital transformation, banks should engage in staff training, implement a staged integration of technological advances, and cultivate an innovative culture. [ABSTRACT FROM AUTHOR]

This research explores adopting the lean product development (LPD) concept in the new production system introduction process (NPSIP) to achieve both pre-launching and post-launching operational performance considering sustainability aspects. An empirical study was conducted in a multinational pharmaceutical company, having lean practice for over a decade. Two case projects for launching the new production system were followed in retrospect, and data was collected by interviewing experts. In the case company, evidence were found regarding adoption of soft lean practices in the NPSIP, however, lack of adoption of hard lean practices. Several challenges were identified that hinder achieving both pre-launching and post-launching operational performance, which could be mitigated by adopting LPD practices. This paper contributes to the broad lean literature by expanding its implication within the NPSIP context. Additionally, a set of LPD principles and practices is proposed that could be adopted in the NPSIP context. Adopting the LPD principles and practices in the NPSIP, manufacturing companies can launch a new production system faster, and achieve target sustainable operational performance faster, resulting in additional competitive advantage. [ABSTRACT FROM AUTHOR]

As industrialization grows, the need to address climate change concerns also seems to grow. Manufacturers are now forced to pay more attention to their environmental responsibilities. Nevertheless, these companies also need to balance both operational and environmental performance. The debate on whether Design for Environment (DfE) practices contribute to operational performance is ongoing. This study sought to examine the extent to which food manufacturers in Kenya have adopted DfE practices and investigate the impact of DfE practices on the operational performance of these companies. The study employed a cross-sectional survey strategy. Data was collected using a structured questionnaire from a sample of 50 food manufacturing companies in Nairobi. Data analysis was done using frequency, percentages, means, and multiple regression. The findings show that DfE practices are not optimally adopted and implemented by food manufacturers in Kenya. Moreover, the findings show that, generally, DfE practices have a significant positive impact on operational performance, except for end-of-life management. The findings can help managers of operations, production, research, and design in the food manufacturing sector to make relevant environmentally friendly choices. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to investigate the role of organizational and technological enablers and their arrangement and alignment with the external environment to facilitate supply chain integration (SCI), which consequently improves operational performance. Design/methodology/approach: The paper uses a structural equation modeling approach and the data from 307 manufacturing firms from the International Manufacturing Strategy Survey version VI for hypotheses testing. Findings: The findings of the study reveal that (1) the alignment and particular arrangement of the sociotechnical organizational factors enable the SCI of a firm, (2) suitable organizational arrangements help in leveraging SCI under environmental pressures, and (3) SCI leverages the relationship between sociotechnical organizational factors and operational performance of the firm. Practical implications: This paper informs managers that SCI leverages the operational performance of firms under heightened environmental pressures. Developing suitable manufacturing technologies infrastructure followed by organizational practices aligned with the manufacturing technologies make it easier to realize SCI. Originality/value: This study explores the interaction of technological, organizational, and environmental factors as driving and enabling factors that help achieve SCI. Firms that develop an open and collaborative environment and use communication and integrative technologies to complement their work practices better cope with external pressures. These modern forms of working and the use of technologies facilitate SCI and leverage it effectively to positively impact firm performance. [ABSTRACT FROM AUTHOR]

A considerable amount of research has been conducted to explore the concept of supply chain agility as the primary management strategy for achieving a competitive edge in a constantly changing and unstable business environment. Much of this research has focused on understanding the impact of supply chain agility on performance outcomes. However, the findings from empirical studies have been scattered and, in many cases, contradictory in terms of the functional implications of supply chain agility. To address this, it is crucial to consolidate and compare the results of these experimental studies using a meta-analysis approach. Therefore, the present research aimed to examine the influence of supply chain agility on both relational and operational performance by employing a meta-analysis approach. Nineteen final studies were identified and their information was entered into the CMA2 software based on the Prism protocol. The results clearly demonstrate that supply chain agility significantly affects relational and operational performance, with a stronger influence observed on relational performance compared to operational performance. Furthermore, the analysis conducted identified the moderating variable of the type of industry, where the agility of the supply chain has a particularly strong impact on relational and operational performance within unique industries. [ABSTRACT FROM AUTHOR]

The increasing environmental impact has triggered a global shift towards eco‐friendly business strategies. This study examines the impact of green human resource management (GHRM) and internal green supply chain management (IGSCM) on operational performance within the Ethiopian manufacturing sector. Survey data from 219 large and medium‐sized companies in the leather, textiles, agro processing, and cement industries were analysed using partial least squares structural equation modelling. The findings demonstrate that IGSCM practises, such as eco‐design and internal environmental management, have a positive impact on operational performance. GHRM encourages a culture that supports these practises. Mediation analysis reveals that GHRM indirectly enhances operational performance through IGSCM practises. This study contributes to the existing literature on sustainable HR and supply chain management by emphasising the importance of integrating environmental considerations into HR and supply chain strategies to enhance operational outcomes. Policymakers are encouraged to utilise these findings to develop frameworks that promote environmentally sustainable business practises. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study is to investigate how green supply chain management (GSCM) practices mediate the effect of Industry 4.0 technologies on operational and green innovation performances. Design/methodology/approach: To explore the study, data were collected from 225 different manufacturing industries in Pakistan. Gathered data were used to test the hypotheses using SmartPLS 3 software by using structural equation modeling. Findings: The findings reveal that operational and green innovation performances are directly affected by the adoption of Industry 4.0 technologies and GSCM practices. Furthermore, the GSCM practices positively affect operational and green innovation performances. The study also investigated that the GSCM practices partially mediate the effect of Industry 4.0 on operational and green innovation performances. Research limitations/implications: This study has some limitations, the data of this study were majorly collected from large enterprises of Pakistani firms and related to the manufacturing sector only. So, there is a huge need for attention toward small and medium-sized enterprises (SMEs). Very few researchers are focusing on SMEs, so future research can be on SMEs. It can be suggested that the relationship between digital technologies and green innovation performance can be tested through a quantitative procedure. Moreover, the effect of GSCM's aspects can be estimated on manageable execution. Originality/value: Through the mediating relationship of GSCM practices, this research has made a unique contribution by investigating the influence of Industry 4.0 on operational and green innovation performances. To the author's knowledge, no research has been undertaken in this area. [ABSTRACT FROM AUTHOR]

Goal: This study investigates the impact of Supply Chain Environmental Uncertainty (SCEU) on competitive advantage and operational performance in manufacturing companies. The mediating role of competitive advantage and the moderating role of supply chain environmental uncertainty in the relationship between competitive advantage and operational performance were examined. Design/ Methodology/ Approach: This paper used quantitative approach to confirm the conceptual model. Data was collected through questionnaires from directors/operational managers in 121 large and medium-scale manufacturing companies in Southeast Sulawesi Indonesia. The analysis employs Generalized Structured Component Analysis (GSCA) to test the direct, mediating, and moderating effects of supply chain environmental uncertainty. Results: The findings demonstrate a significant positive influence of supply chain environmental uncertainty on competitive advantage and operational performance. However, competitive advantage does not significantly affect operational performance. The study reveals that competitive advantage is perfect mediator between supply chain environmental uncertainty and operational performance, while supply chain environmental uncertainty is a moderating predictor between competitive advantage and operational performance. Practical Implications: The research has implications for manufacturing company managers adapting to supply chain environmental uncertainty through supplier, customer, and technology considerations. It emphasizes the importance of adapting to supply chain environmental uncertainty to enhancing competitive advantage and operational performance in the manufacturing industry. Efforts to improve operational performance and strategically integrate competitive advantage should consider the business environment, including suppliers, customers, and technology. Limitations: This research is limited to large and medium-scale manufacturing industries, hindering generalization to other industries, particularly small-scale ones. Additionally, researchers can consider additional contextual factors such as supply chain integration, supply chain agility, and total quality management. Originality/Value: This study expands the theoretical framework of supply chain environmental uncertainty, competitive advantage, and operational performance through empirical testing of a theoretical model. The findings support the proposed model's validity and highlight the mediation role of competitive advantage and supply chain environmental uncertainty, providing a reference for future theory development and model building.

Small and Medium Enterprises (SMEs) in South-West Nigeria often face performance challenges due to inadequate strategic formulation, ineffective implementation, and insufficient evaluation, leading to resource underutilization and growth obstacles. This study investigated the impact of strategic management controls on SMEs' operational performance in the region. This study adopted a quantitative survey research design and collected primary data from 399 SMEs in South-West, Nigeria, selected through stratified random sampling. Partial Least Squares Structural Equation Modeling was used for data analysis. The findings revealed a significant positive relationship between strategic planning and operational performance (β = 0.233, p = 0.010), indicating the importance of strategic planning in enhancing performance. Additionally, strategic planning had a substantial impact on operational performance (β = 0.373, p = 0.000), demonstrating its effectiveness in driving improvements. Strategic evaluation also had a positive and significant influence on operational performance (β = 0.243, p = 0.000), highlighting its role in performance enhancement. The study concluded that strategic management controls are strong predictors of SMEs' operational performance. The study recommended that SMEs focus on improving their strategic planning processes and invest in robust evaluation processes to assess the effectiveness of implemented strategies and make informed decisions for future endeavors.

To fill a gap in current literature, this paper analyses the impact of human factors on the operational performance of innovation hubs in the SAARC Nations and the European Union. Upon conducting an extensive examination of academic literature, four primary classifications of human factors were determined: organizational factors, individual attributes, the nature of a task and working environment. This research offers a cross-sectional analysis of these factors and their implications on innovation centres in the culturally and economically diverse domain of SAARC Nations and the European Union. The findings suggest that organizations functioning in the context of Innovation hubs in SAARC Nations, where centralized authority and value correctness is mostly emphasised on, face challenges in order to foster employee engagement and creativity. However, the innovation hubs of the European Union receive treatment from a more flexible and tolerant approach which is backed by progressive technology and is incredibly sensitive to concerns touching on ergonomics and safety of the working environment. This research highlights High performing, High committing, and High involvement management, management techniques to manage human factors to enhance operation performance. Adaptive and individual approach to the management of human variables, based on the differences in cultural and economic conditions of each region, is essential for effective development of the innovative substance and competitive advantage, the paper states. The results obtained from this study offer important guidance for the policymakers, managers and practitioners who are involved in managing and creating innovation hubs. It has provided a framework of how the organisation’s operation performance may be improved through effective management of human resources.

Purpose: The main objective of this study was to examine influence of credit risk stress testing on operational performance of commercial Kenya. The theoretical framework was based on credit risk theory. Methodology/Approach: The study used all commercial banks which are 42 it total. The adopted mixed research comprising of causal and longitudinal research designs. The study used secondary data from operational statements of banks. Descriptive applied involved skewness, kurtosis, mean and standard deviation. Multiple regression analysis was also applied. Data was presented using tables. Findings: The results revealed that expected loan loss lead to performance of commercial Banks as shown by a positive and significant coefficient of in the regression model in a fixed effect model. Implications: The study suggested that operational institutions implement a stringent policy that escalates the loss in the event of default, thereby restricting loan approvals to clients who can guarantee they will repay the loan in full.

This study examines the relationship between psychological safety and operational performance in the context of supply chain partners, i.e. an inter-organisational setting. While collaboration among supply chain partners enables effective problem solving and generates innovation, such collaborations may result in superior performance improvements when a psychologically safe business environment is created along the supply chain. The analysis of this study is based on data collected from 241 manufacturing companies in China using a survey questionnaire. A confirmatory factor analysis (CFA) was conducted to assess the validity of the measures, and an ordinary least squares (OLS) regression was used to test the hypotheses. Study results indicate that there is a significant positive association between psychological safety and operational performance in the context of supply chain partners. The results further show the relationship to be moderated by the learning orientation and inter-functional coordination. While the effect of psychological safety on performance has been studied in intra-organisational settings, studies on the psychological safety – performance relationship in an inter-organisational setting are scant. This study contributes to the literature in psychological safety and supply chain management as it extends the relationship to the context of supply chain partners. [ABSTRACT FROM AUTHOR]

This research explores adopting the lean product development (LPD) concept in the new production system introduction process (NPSIP) to achieve both pre-launching and post-launching operational performance considering sustainability aspects. An empirical study was conducted in a multi-national pharmaceutical company, having lean practice for over a decade. Two case projects for launching the new production system were followed in retrospect, and data was collected by interviewing experts. In the case company, evidence were found regarding adoption of soft lean practices in the NPSIP, however, lack of adoption of hard lean practices. Several challenges were identified that hinder achieving both pre-launching and post-launching operational performance, which could be mitigated by adopting LPD practices. This paper contributes to the broad lean literature by expanding its implication within the NPSIP context. Additionally, a set of LPD principles and practices is proposed that could be adopted in the NPSIP context. Adopting the LPD principles and practices in the NPSIP, manufacturing companies can launch a new production system faster, and achieve target sustainable operational performance faster, resulting in additional competitive advantage.

Despite its potentialities, Lean Automation (LA) has not attracted attention for over two decades. However, due to the new opportunities offered by Industry 4.0 technologies, LA revives expectations and enthusiasm. This paper aims to test empirically the association of LA, in the form of integration of Lean practices and Industry 4.0 technologies, and operational performance. The paper used a rigorous, multi-stage empirical method and data from a set of more than 200 manufacturing firms; one representative from each of the studied companies filled in a survey on Lean practices and Industry 4.0 technology bundles, with productivity, delivery, inventory, quality as performance indicators. The extensive survey results helped in identifying underlying components of LA: one focuses on operational stability and includes practices and technologies supporting efficiency along the supply chain; the other focuses on streamlining the flow, on fastening the process to reach the customer. Moreover, it demonstrates the positive correlation between LA and operational performance. Besides its contribution to the body of knowledge on LA, this research paves the base of improving academics and practitioners understanding of the integration of new technologies with Lean Production systems. [ABSTRACT FROM AUTHOR]

AbstractAs the ageing population grows and information technology evolves, elderly individuals increasingly rely on interacting with intelligent interfaces in their daily activities, posing a challenge to their interaction fluency. This study aims to identify the evaluation indicators and conditions in intelligent interactive interfaces that affect the operational performance and subjective preferences of elderly users. From there, general conclusions and strategies are summarised to promote the development of age-friendly design and practice in intelligent interactive interfaces. This systematic review includes 31 studies for analysis and classifies them into four categories according to the form of interaction: gesture interaction, voice interaction, multimodal interaction, and artificial intelligence interaction. The review indicates that factors such as the simplicity and direction of gestures in gesture interaction, the fluency of user expression and system recognition in voice interaction, modalities of interface input and feedback, as well as the conversational style, appearance, and mode of artificial intelligence, all affect user performance and preferences. However, there may be inconsistencies in the performance and preferences of elderly users in almost every form of interface. Therefore, future study needs to delve into specific scenarios for analysis. [ABSTRACT FROM AUTHOR]

Purpose. Conduct an analysis of the impact of the structure and design parameters of material displacement mechanisms and their working elements on the operational performance quality of the sewing machine to identify areas for improvement. Methodology. A well-known method of analytical review of information sources dedicated to addressing the aforementioned issue has been applied. Findings. As a result of the research of literary sources, it was found that the operational performance of sewing machines, and thus the quality of their work in the material displacement mechanism, is influenced by the following factors: the material and mass of the presser foot, the physical and mechanical properties of its surface, and the parameters of the dynamic system "presser foot-material-transporting mechanism" (including the pressure force applied to the material against the throat plate during transport and the dimensions of the presser foot). The construction of the transporting mechanism, the shape and condition of its working surface, its motion law and trajectory, especially in the presence of several transporting mechanisms considering their compatibility, are also important. Despite various measures proposed to improve the machine's operational performance, complete elimination of negative phenomena in the material transport process is not achieved. A radical improvement in the quality of material transport in sewing machines is possible only through the development of fundamentally new creative methods and means of transportation that can ensure equal conditions for moving the upper and lower layers of material. Originality. The scientific novelty of this research lies in revealing the essence of the impact of parameters (and their combinations) of transport mechanisms and their working elements on the quality of sewing products; in identifying the shortcomings of known processes and mechanisms for material transport in sewing machines; and in determining the main directions for improving the quality of their operational performance. Practical value. The results of the analysis can be used for the targeted development of new, more promising methods, devices, and mechanisms for material displacement in sewing machines. [ABSTRACT FROM AUTHOR]