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The purpose of this paper is to investigate the effect of leaders’ positive emotions on their followers’ perceptions of leaders’ effectiveness through a serial mediation mechanism that employed followers’ positive emotions and leaders’ helping behaviors as mediators.

This study is quantitative in nature. The data for it were collected from supervisors and subordinates in the restaurant and hotel industries of Pakistan. This study used a mix of convenient and purposive/judgmental sampling and the sample consisted of 400 dyads.

This study has found statistical support for all its hypotheses. In particular, the results of this study have demonstrated that followers’ emotions and leaders’ helping behaviors mediate the relationships between leaders’ positive emotions and followers’ perceptions about their leaders’ effectiveness, acting in the form of a chain.

This study has implications for organizational leaders who are in the process of implementing emotional regulation in the workplace.

This is one of the few studies that has tested a serial mediation model to examine the conditions under which leaders’ positive emotions determine their effectiveness.

Drawing on the dual process model of ideology and prejudice, the purpose of this paper is to examine whether, how and when a supervisor's Machiavellianism leads to subordinates' perceptions of abusive supervision. In doing so, the authors also explore the mediating role of the supervisor's competitive world views and the moderating role of subordinates' performance on this relationship.

The theoretical model was tested using three sources of data from supervisors, their subordinates and the organization. Hierarchical linear model analysis was run on supervisor and subordinate dyadic data for testing whether subordinates' performance moderated the mediated relationships or not.

The results suggest that the supervisors' competitive worldviews explain the positive link between their Machiavellianism and subordinates' perceptions of abusive supervision. The results highlight that the mediation effect of supervisors' competitive worldviews on the link between their Machiavellianism and their subordinates' perceptions of abusive supervision is more pronounced when subordinates' performance is low than when it is high.

This research contributes to the authors’ knowledge of the link between supervisors' Machiavellianism and abusive supervision, and how the toxic influence of their Machiavellianism is mediated by supervisors' competitive worldviews.

The study contributes to the literature on abusive supervision and personality by studying the role of personality as an antecedent of abusive supervision. Further, this study used subordinates' performance as a contextual variable for understanding abusive supervision.

This paper aims to examine the consequences for innovative work behavior (IWB) of top-down knowledge hiding – that is, supervisors’ knowledge hiding from supervisees (SKHS). Drawing on social learning theory, the authors test the three-way moderated-mediation model in which the direct effect of SKHS on IWB is first mediated by self-efficacy and then further moderated by supervisor and supervisee nationality (locals versus foreigners).

The authors collected multi-sourced data from 446 matched supervisor-supervisee pairs working in a diverse range of organizations operating in the Kingdom of Saudi Arabia. After initial data screening, confirmatory factor analysis was conducted to test for the factorial validity of the used measures with AMOS. The hypothesized relationships were tested in regression analysis with SPSS.

Results showed that SKHS had both direct and mediation effects, via the self-efficacy mediator, on supervisee IWB. The mediation effect was further moderated by supervisor and supervisee nationality (local versus foreigners), which highlighted that the effect was stronger for supervisor–supervisee pairs that were local-local or foreigner-foreigner than for pairs that were local-foreigner or foreigner-local.

This study contributes to both knowledge hiding and IWB literature and discusses the useful theoretical and practical implications of the findings.

The purpose of this paper is to examine the direct and conditional indirect effects of employees’ perception of psychological contract fulfillment on their positive voice, i.e., promotive voice and prohibitive voice, through the integrated framework of the social exchange theory and the group value model.

Using a two-source data collection from the employee and supervisor, cross-sectional data were collected from 234 participants working in one of the leading non-profit organizations in Pakistan. After initial data screening, a confirmatory factor analysis was conducted to test for the factorial validity of the employed measures with AMOS. The hypothesized relationships were tested in regression analysis with Statistical Package for the Social Sciences.

The results of this study supported the integration of the social exchange theory with the group value model in explaining the direct and indirect positive effects of employees’ perception of psychological contract fulfillment on their promotive and prohibitive voices through the mediation of organizational identification (OID). Furthermore, it was also recorded that the indirect effect was conditional on the employees’ perception of the relative psychological contract fulfillment which significantly moderated the direct relationship between psychological contract fulfillment and OID. However, no such effect was recorded for the moderating effect of power distance orientation between OID and the both voices.

In addressing the recently published research calls, this study broadens the horizon of existing research on psychological contract and employee positive voice by investigating the mediating and the moderating factors that influence this relationship.

Drawing on social learning and social cognitive theories, this study aims to examine a multi-level moderated mediation model that tests the mediating effect of moral disengagement (MD: Level 1) between perceived organisational politics (POP: Level 1) and employee knowledge hiding from coworkers (EKHC: Level 1). The authors further propose that supervisor knowledge hiding from employees (SKHE: Level 2) moderates this mediation effect.

The authors obtained multi-sourced, multi-timed and multi-level data regarding 294 employees, working under 80 supervisors, from multiple organisations operating in Pakistan. The authors analysed these data using multi-level structural equation modelling via Mplus.

The results show that employee MD significantly mediates the direct relationship between POP and EKHC. The mediation effect is further positively moderated by SKHE, which amplifies the mediation effect.

To the best of the authors’ knowledge, this is the first empirical study that examines both EKHC and SKHE together in a single research model and provides a thorough understanding of why, how and when POP leads to EKHC.

This study aims to examine the moderated-mediation effects of employees’ Islamic work ethic (IWE) on their promotive and prohibitive forms of constructive voice behaviors through the integrated frameworks of social identity theory and self-consistency theory.

Using two-source data collection from employees and supervisors, data were collected from 217 participants working in various companies in the Kingdom of Saudi Arabia. After initial data screening, a confirmatory factor analysis was conducted to test for the factorial validity of the used measures with AMOS. The hypothesized relationships were tested in the PROCESS macro for SPSS.

The results of this study supported the integration of social identity theory with self-consistency theory in explaining the indirect effects of employees’ IWE on their promotive and prohibitive forms of constructive voice behaviors through the mediation of moral identity. Furthermore, this study also indicated that the indirect effect was conditional on the employees’ perceptions of perceived voice opportunity, which significantly moderated the relationship between their moral identity and their prohibitive voice. However, no such effect was recorded for promotive voice.

This study is the first that explains how and when employees’ IWE leads them to exhibit promotive and prohibitive voice behaviors through the mediation of moral identity and the moderation of perceived voice opportunity. Thus, this study contributes to the IWE, moral identity and employee voice literature by addressing questions with useful theoretical and managerial implications for employees’ promotive and prohibitive forms of constructive voice behaviors in the workplace.

The aim of this paper is to explore how small and medium enterprises (SMEs) in Taiwan employ technology to participate in global supply chains so as to respond to the Fourth Industrial Revolution.

This study chose four small to medium textile SMEs using qualitative exploratory multiple case studies to examine their participation in the global value chain (GVC) and under the context of Industry 4.0.

This study proffered a strategic model for the innovative integration of textile manufacturing companies and cultural content industry into the global market. The results identified four types of cross-disciplinary value creation strategies by Industry 4.0-driven technology and cultural content infusion: enhancing digital product display capabilities, integrating cultural content design and online marketing, creative brand marketing with cyber-physical channel integration and emotional marketing incorporated with smart services.

The author proposed the following cross-disciplinary value creation strategies for clothing SMEs in Taiwan: (1) enhancing digital product display capabilities, (2) integrating cultural content design and online marketing, (3) creative brand marketing with cyber-physical integration and (4) emotional marketing incorporated with smart services. Using these strategies, SMEs can incorporate cultural and lifestyle aspects into products and services and embed themselves in the global marketing links of GVCs.

This paper aims to present a systematic review of the development process of Industry 4.0 in the textile and apparel sector, as well as to show some concepts, examples found in the literature on the application of the principles and technologies involved like the internet of things (IoT), cloud computing, Big Data, autonomous robots, three-dimensional (3D) printing, augmented reality, virtual prototyping, horizontal and vertical system integration and cybersecurity.

The methodology adopted in this study was a systematic literature review aided by the use of SciMAT, a scientific mapping software. Documents were collected from the Web of Science and Scopus database from 2011 to 2020 using the words “Textile” and “Industry 4.0” that result in 865 documents and 115 were analyzed.

The literature review showed that the textile industry in the international context is at an incipient stage of the implementation of Industry 4.0. The main aspects of Industry 4.0 that were identified in the textile industry initially focus on the implementation of technologies aimed at computerization and automation of processes, whose main focuses are increasing productivity and reducing costs. Projects for the implementation of augmented reality and 3D printing and simulation technologies in the textile industry, clothing and apparel area are still embryonic, normally implemented through tools and software oriented toward the creation and development of new models of processes, products and commerce.

The search in the databases was carried out on October 17, 2020. Therefore, for future study, other combinations of search terms and time update are suggested, in addition to including more databases besides Scopus and Web of Science.

This literature review served as the basis for the development of a questionnaire that was applied to 72 people in an industry in the clothing sector, located in the state of Santa Catarina, southern Brazil.

The benefits of industry 4.0 are perceived in people with its implementation, such as a reduction in energy consumption of around 15%, an increase of up to 25% in work efficiency, in addition to more assertive decision-making, improvement of processes and balance between life and work.

Machine learning, artificial intelligence, smart fabrics, IoT, supply chain management, environmental protection, Big Data, autonomation and cyber physics were the strongest terms found, consolidating as a prominent field for current and future studies. From emerging and/or still unexplored areas of Industry 4.0 in the textile sector, there is real-time communication, computer applications, carbon, fibers, health care and sustainable development. Some strategic actions that are taking place in some countries are summarized and in Brazil the adoption rate is 29% for this sector, revealing itself as a needy area and suitable for the development of studies that address the subject.

Big data and related technologies are expected to drastically change the way industrial maintenance is managed. However, at the moment, many companies are collecting large amounts of data without knowing how to systematically exploit it. It is therefore important to find new ways of evaluating and quantifying the value of data. This paper addresses the value of data-based profitability of maintenance investments.

An analytical wasted value of data model (WVD-model) is presented to quantify how the value of data can be increased through eliminating waste. The use of the model is demonstrated with a case example of a maintenance investment appraisal of an automotive parts manufacturer.

The presented model contributes to the gap between the academic research and the solutions implemented in practice in the area of value optimization. The model provides a systematic way of evaluating if the benefits of investing in maintenance data exceed the additional costs incurred. Applying the model to a case study revealed that even though the case company would need to spend more time in analyzing and processing the increased data, the investment would be profitable if even a modest share of the current asset failures could be prevented through improved data analysis.

The model is designed and developed on the principle of eliminating waste to increase value, which has not been previously extensively discussed in the context of data management.