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This study explores the impact of family ownership and management on exploitative and exploratory outward foreign direct investment (OFDI) in family businesses in emerging economies, as well as the moderating effects of intra-family successions and founder CEOs.

The authors empirically tested the hypotheses based on the data of Chinese listed manufacturing family enterprises from 2009 to 2018.

Family ownership does not significantly reduce exploitative OFDI but significantly increases exploratory OFDI. When family offspring have succession intentions, these relationships are strengthened. Additionally, family management is negatively associated with exploitative OFDI and positively associated with exploratory OFDI. Founder CEOs have a positive moderating effect on the relationship between family management and exploitative and exploratory OFDI.

This study is the first attempt to introduce exploitative and exploratory OFDI into the internationalization of family enterprises. The research goes beyond internationalization as a single concept and provides new evidence to solve the controversy about how family involvement affects family firms’ internationalization. On the other hand, the authors respond to the call to understand the impact of family heterogeneity on internationalization by systematically examining the influence of four important family heterogeneity characteristics on family firms’ OFDI choice.

Based on the socio-emotional wealth and agency theories, this study empirically investigates the impact of family ownership and management on green innovation (GI) in family businesses, as well as the moderating effects of institutional environmental support factors, namely, the technological achievement marketisation index and the market-rule-of law index.

This study empirically tests the hypotheses based on a sample of listed Chinese family companies with A-shares in 14 heavily polluting industries from 2009 to 2019.

There is a U-shaped relationship between the percentage of family ownership and GI, and an inverted U-shaped relationship between the degree of family management and GI. Additionally, different institutional environmental support factors affect these relationships in different ways. As the technological achievement marketisation index increases, the U-shaped relationship between the percentage of family ownership and GI becomes steeper, while the inverted U-shaped relationship between the degree of family management and GI becomes smoother. The market rule-of-law index weakens the U-shaped relationship between family ownership and GI.

First, the authors enrich the research on the driving factors of GI from the perspective of the most essential heterogeneity of family businesses. This study shows nonlinear and opposite effects of family ownership and management on GI in family firms. Second, this study contributes to the literature on family firm innovation. GI, not considered by researchers, is regarded as an important deficiency in research on innovation in family businesses. Therefore, this study fills that gap. Third, the study expands research on moderating effects in the literature on GI from the perspective of institutional environmental support factors.

The purpose of this paper is to examine the effect of team learning processes (information acquisition, information processing and information storage and retrieval) on team performance in software development projects and to assess the effect of ethical leadership and its influence on these processes.

The authors examined 354 software development project teams in Thailand. A quantitative study was conducted through a Web-based survey, with structural equation modelling used to test the hypotheses.

The results of this study revealed that ethical leadership is positively correlated with the team learning processes of information acquisition, information processing and information storage and retrieval. However, only information processing and information storage and retrieval are positively related to team performance. The results indicate that ethical leadership has a positive direct effect on team performance. The results also show that the positive relationship between ethical leadership and team performance is partially mediated by team learning processes, namely, information processing and information storage and retrieval.

This study highlights the importance of ethical leadership and guides managers towards considering the characteristics of both ethical leadership and team learning processes for enhancing team performance in software development projects.

This is the first study to the best of authors’ knowledge to examine the role of team learning processes in mediating the relationship between ethical leadership and team performance, particularly concerning software development projects. The present research contributes to the literature on team performance management, emphasising the manner in which ethical leadership can result in team learning and team performance. The findings of this study can be used to encourage organisations to develop ethical leadership behaviours and team learning processes in software development projects.

We explore the effects of three categories of fit on US‐China joint‐venture performance using four performance measures. Many studies prescribe strong fit across multiple categories as necessary for high performance, but little rigorous analysis supports this. Three important threads of existing “fit” research resonate in the literature: strategic, cultural and organizational fit. We analyze an original survey dataset of over 80 US‐China JVs, and test for effects of fit‐categories using two measures for each thread. Additionally, multiple control factors give a compelling look at a complete model of fit’s effects on JV performance. Objective congruence (strategic fit) among JV partner‐firms, impacts two performance‐measures. Efficacy of managerial communications (cultural fit) also matters, as does harmony regarding hiring decisions (organizational fit). Our findings are a step forward empirically, and partly resolve persistent questions about partner‐fit in JVs and performance.

Constructing an effective production control policy is the most important issue in wafer fabrication factories. Most of researches focus on the input regulations of wafer fabrication. Although many of these policies have been proven to be effective for wafer fabrication manufacturing, in practical, there is a need to help operators decide which lots should be pulled in the right time and to develop a systematic way to alleviate the long queues at the bottleneck workstation. The purpose of this study is to construct a photolithography workstation dispatching rule (PADR). This dispatching rule considers several characteristics of wafer fabrication and influential factors. Then utilize the weights and threshold values to design a hierarchical priority rule. A simulation model is also constructed to demonstrate the effect of the PADR dispatching rule. The PADR performs better in throughput, yield rate, and mean cycle time than FIFO (First‐In‐First‐Out) and SPT (Shortest Process Time).

The definition of cycle time is the time from the wafer start to the wafer output. It usually takes one or two months to get the product since customer decides to produce it. The cycle time is a critical factor for customer satisfaction because it represents the response time to the market. Long cycle time reflects the ineffective investment for the capital. The cycle time is very important for foundry because long cycle time will cause customer unsatisfied and the order loss. Consequently, all of the foundries put lots of human source in the cycle time improvement. Usually, we make decisions based on the experience in the cycle time management. We have no mechanism or theory for cycle time management. We do work‐in‐process (WIP) management based on turn rate and standard WIP (STD WIP) set by experiences. But the experience didn’t mean the optimal solution, when the situation changed, the cycle time or the standard WIP will also be changed. The experience will not always be applicable. If we only have the experience and no mechanism, management will not be work out. After interview several foundry fab managers, all of the fab can’t reflect the situation. That is, all of them will have an impact period after product mix or utilization varied. In this study, we want to develop a formula for standard WIP and use statistical process control (SPC) concept to set WIP upper/lower limit level. When WIP exceed the limit level, it will trigger action plans to compensate WIP Profile. If WIP Profile balances, we don’t need too much WIP. So WIP level could be reduced and cycle time also could be reduced.

This study aims to focus on the clothing recycling supply chain and aims to provide optimal decisions and managerial insights into supply chain strategies, thereby facilitating the sustainable development of the clothing industry.

Based on previous single- and dual-channel studies, game theory was employed to analyze multiple recycling channels. Concurrently, clothing consumer types were integrated into the analytical models to observe their impact on supply chain strategies. Three market scenarios were modeled for comparative analysis, and numerical experiments were conducted.

The intervention of fashion retailers in the clothing recycling market has intensified competition across the entire market. The proportions of various consumer types, their preferences for online platforms and their preference for the retailer’s channel influence the optimal decisions and profits of supply chain members. The diversity of recycling channels may enhance the recycling volume of clothes; however, it should meet certain conditions.

This study extends the existing theory from a channel dimension by exploring multiple channels. Furthermore, by investigating the classifications of clothing consumers and their influence on supply chain strategies, the theory is enhanced from the consumer perspective.

Sets out the protection given to employees from retaliation from employers if they file a claim alleging discrimination under US law. Draws on case history to illustrate this. Looks at how companies can prevent retaliation discrimination, indicating the policies they should put in place. Also advises employees on what they should do to protect themselves from retaliation.

Penrose’s argument regarding the managerial constraint on continual expansion over two consecutive periods is termed the “Penrose effect,” a relatively less investigated premise in Penrose’s growth theory. The purpose of this paper is to empirically re-examine the Penrose effect from the perspective of upper echelons theory and investigated how top management team (TMT) composition influences the continual growth of a firm.

This study empirically tested the hypotheses based on a sample of listed manufacturing firms operating in Taiwan, a newly industrialized economy in the Asia–Pacific region. Moderated hierarchical regression analyses were applied to test hypotheses.

The empirical results suggest that low TMT diversity (in terms of educational, functional and team tenure diversity) is likely to engender a situation in which the Penrose effect might occur. Additionally, the results indicate that the proportion of functional executives plays a significant role in influencing the growth trend over two consecutive periods and may soften the impact of the Penrose effect.

This paper suggests that appropriate structuring of TMTs and appropriate management of their members’ backgrounds and team tenure diversity can help firms overcome the Penrose effect and grow continually. Furthermore, the proportion of functional executives in a TMT is influential.

This paper uniquely contributes to the theoretical and empirical development of Penrose’s growth theory, upper echelons theory and resource-based view concerning managerial resources.

This paper aims to introduce the weighted squared Euclidean distance between points in signal space, to improve the performance of the Wi-Fi indoor positioning. Nowadays, the received signal strength-based Wi-Fi indoor positioning, a low-cost indoor positioning approach, has attracted a significant attention from both academia and industry.

The local principal gradient direction is introduced and used to define the weighting function and an average algorithm based on k-means algorithm is used to estimate the local principal gradient direction of each access point. Then, correlation distance is used in the new method to find the k nearest calibration points. The weighted squared Euclidean distance between the nearest calibration point and target point is calculated and used to estimate the position of target point.

Experiments are conducted and the results indicate that the proposed Wi-Fi indoor positioning approach considerably outperforms the weighted k nearest neighbor method. The new method also outperforms support vector regression and extreme learning machine algorithms in the absence of sufficient fingerprints.

Weighted k nearest neighbor approach, support vector regression algorithm and extreme learning machine algorithm are the three classic strategies for location determination using Wi-Fi fingerprinting. However, weighted k nearest neighbor suffers from dramatic performance degradation in the presence of multipath signal attenuation and environmental changes. More fingerprints are required for support vector regression algorithm to ensure the desirable performance; and labeling Wi-Fi fingerprints is labor-intensive. The performance of extreme learning machine algorithm may not be stable.

The new weighted squared Euclidean distance-based Wi-Fi indoor positioning strategy can improve the performance of Wi-Fi indoor positioning system.

The received signal strength-based effective Wi-Fi indoor positioning system can substitute for global positioning system that does not work indoors. This effective and low-cost positioning approach would be promising for many indoor-based location services.

A novel Wi-Fi indoor positioning strategy based on the weighted squared Euclidean distance is proposed in this paper to improve the performance of the Wi-Fi indoor positioning, and the local principal gradient direction is introduced and used to define the weighting function.