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The purpose of this paper is to examine the relationship between ethical leadership and group-level performance outcomes and show that group value congruence and group trust play pivotal mediating roles in the relationship between ethical leadership and work group performance outcomes.

To examine the proposed model, survey data from 116 branches of a baked goods and beverages chain located in Northern Taiwan were analyzed.

The results revealed that ethical leadership was positively and significantly related to group in-role performance and group helping behavior; the relationship was fully mediated by group value congruence and group trust after controlling for idealized influence leadership.

This study features a cross-sectional study design, thus limiting the accuracy of inferences about causality.

The results of the current study revealed that ethical leadership behaviors enhance group trust. Hence, these leadership behaviors could be among the best and most appropriate practices to be implemented in China and Taiwan.

The data suggested that ethical leadership was associated with not only individual-level behavior but also group-level performance. Furthermore, this paper also uncovered the mediation mechanism through which ethical leadership enhances group performance.

The purpose of this paper is to investigate store-level servant leadership and the procedural justice climate (PJC) as key antecedents for employee-perceived psychological contract breach (PCB) and explores the mediating roles of PCB in the relationships among servant leadership, the PJC and deviant employee behavior.

Survey data were collected from 301 employees at 94 stores of a restaurant chain in Taiwan. The model and hypotheses were tested using hierarchical linear modeling.

The results support the moderated mediation model, showing that the indirect effects of servant leadership and PJC on deviant employee behavior through PCB were stronger for employees with an external locus of causality attribution than for those with an internal locus.

The study relied on cross-sectional survey design, therefore the authors cannot infer causality.

The results will help organizations and managers understand that supervisor servant leadership has suppressive effects on deviant employee behavior through the intermediary mechanism of negative psychological perception (i.e. the perception of a PCB).

The primary purpose of this study is to examine the influences of store-level servant leadership and the PJC on employee deviance and to examine the mediating role played by PCB. The findings suggest a significantly negative relationship.

The purpose of this paper is to examine the relationships among supervisor feedback environment (SFE), leader-member exchange (LMX), organizational citizenship behavior (OCB), and workplace deviant behavior (WDB). Specifically, it analyzed the mediating role of LMX.

With the data collected from 258 subordinate-supervisor pairs at various organizations in Taiwan, the authors examined the hypotheses by conducting structural equation modeling analyses.

The results revealed that: SFE is positively related to LMX; LMX is positively related to OCB, and negatively related to WDB; furthermore LMX fully mediates the relationships among SFE and both OCB and WDB.

This data are collected in Taiwan, hence it may affect the generalizability of the results.

Previous studies investigating the relationship between the feedback environment and organizational outcome variables focus on positive outcome variables. Thus, studies examining whether there is a negative effect on negative outcome variables such as WDB are insufficient. The study addresses this deficiency by including WDB as an outcome variable. The results empirically indicate that SFEs are negatively related to WDBs, but the effect diminishes when LMX is controlled.

This study presents the following practical implications for managers. To reduce employee deviant behavior, to improve employee supplementary performance, and further improve overall organizational operating performance, organizations can adopt methods for implementing SFE that promote good interpersonal relationships between supervisors and employees, and thus increase employees’ positive expression of OCB, and reduce deviant behavior.

It can be argued that when supervisors and subordinates form good relationships, the supervisors would provide favorable feedback that may result in more OCBs and less WDBs. It is also possible to argue that the traditional LMX theory suggests that supervisors are dominant in determining the quality of LMX, and therefore good LMX relationships cannot be developed based on supervisory feedback. This study shows otherwise, and addresses the rival hypothesis by drawing from previous studies and theories as well as in comparing the proposed alternative model by conducting χ2 differences.

Despite the strong influence of Hambrick and Mason’s (1984) seminal work, the effects of top management team (TMT) characteristics on strategic processes remain unclear. This study aims to go beyond the traditional upper echelon theory and to propose a human capital taxonomy of TMTs from the perspective of top human resources managers.

The research integrates arguments from the strategic human capital and strategic issue diagnosis literatures. An exploratory cluster analysis was conducted in an attempt to describe different human capital typologies in TMTs in a sample of 120 Spanish companies.

The exploratory analysis showed three distinct human capital profiles: “technocratic teams”, “highly skilled teams” and “operational teams”. In addition, this paper provides preliminary results about the effects of each profile in the above taxonomy on strategic issue diagnostic processes, suggesting that “highly skilled teams” present the most appropriate combination of human capital attributes.

This analysis provides a guide for top managers regarding the human capital needs they may face when interpreting strategic issues in strategy formation processes.

This paper makes a twofold contribution to the extant literature: proposing an analysis of TMTs’ human capital from a synergistic perspective (“human capital profiles”) instead of using the traditional “more is better” approach and providing preliminary explanations about how those human capital combinations contribute to success in the strategic issue diagnosis process.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

Although multinational enterprises (MNEs) based in emerging economies arose quickly during the past decade, most of these firms lack marketing capabilities and strong brands. Emerging-economy MNEs that have tried to build their own brands have been largely unsuccessful. The purpose of this paper is to argue that corruption in the MNEs’ home countries has been detrimental to their brand values. Corruption makes it more difficult for consumers to govern their transactions with local firms, thus decreasing firms’ trustworthiness and brand values.

Data of the global top 500 most valuable brands of 2008 and 2014 and the Poisson regression model are used.

This study finds that firms based in countries with lower levels of corruption establish more valuable brands than those based in countries with higher corruption, even when GDP and GDP per capita are controlled.

Policymakers who want to help local firms increase their marketing capabilities and establish strong brands should strive to increase the trustworthiness of local firms by undertaking anti-corruption reforms aimed at protecting consumers.

Few studies have address the research question that why emerging-market MNEs lack marketing capabilities and strong brands. This study finds that institutional factors such as corruption at country level prevent them from establishing strong brands.

This research discloses the effect of religiosity on purchasing intention through serial-mediation paths in a halal-certified food context. Borrowing from the identity theory while supplemented by the theory of planned behaviour (TPB) and the knowledge–attitude–practice (KAP) theory, a 4-layered framework is developed to investigate such an issue.

264 questionnaires are collected in the field study conducted in Tunis, Tunisia. Quota sampling method is applied. Testing of the hypotheses is performed using partial least square analysis.

The findings reveal that religiosity affects the four mediators—awareness, trust, subjective norm and perceived behavioural control—which in turn affect attitude, and purchase intention towards halal-certified food is eventually aroused. These four serial-mediation paths are further proved to form the mechanisms.

The field study participants are limited to consumers in Tunis. Besides, a mechanism to collect the data from general public including lower educated consumers should be necessary.

This research is a pioneering work investigating the sequential intervening effect in the religiosity-intention relationship in halal-certified food. The authors provide unique and fruitful insights into this relatively untapped field for academia and firms.

This research attempts to evaluate the effects of personal innovativeness and the perceived value of disclosure on the hierarchical nature of privacy concerns under the contingency of self-control when using proximity Bluetooth-beacon technology (PBBT) service in proximity marketing.

The field study takes place in areas where PBBT service is installed in Taipei, Taiwan. A quota sampling approach is used, with 401 qualified respondents participating. The data are analyzed using the partial least square method.

The results confirm the importance of personal innovativeness and perceived value of disclosure as an important determinant to influence privacy concerns about data collection. It is also found that self-control plays a negative moderating role in these two relationships. Moreover, data collection is found to be a fundamental concern leading to other privacy concern facets.

This research represents a pioneer work in proximity marketing regarding how privacy concerns are influenced and how privacy concerns facets are causal-related when using a PBBT platform. More detailed, conditional insight is given as the research is studied under the contingency of self-control. A set of applicable guidelines with empirical evidence is thus provided.

A small-world network is a type of network structure in which nodes are highly clustered and at short distances without being directly linked. This article analyzes whether the network of interlocking directorates among the largest Brazilian corporations follows a small-world network structure and if the small-world properties (high clustering and short distance between nodes) influence the occurrence of M&A at the domestic and international level.

The authors tested hypotheses regarding the relationship between small-world network properties and M&A based on a sample of large publicly-listed corporations in Brazil for the time series of 2000–2015 and using network analysis and regression techniques (probit and OLS).

The results show that while the Brazilian corporate network fits the small-world features of high clustering and short path lengths, only the distance among connected firms has a significant effect on international M&A: the shorter the distance between firms, the more likely firms undertake M&A abroad. Moreover, being integrated into the main component has a significant positive effect on national and international M&A. These findings suggest that the information and knowledge to undertake M&A can be better acquired by belonging to large business communities and not local cohesive clusters.

This research contributes to theories and ongoing debates about the network effects on organizational decisions and the determinants of M&A in emerging markets. In addition, this is the first study to analyze the impact of small-world networks on international M&A while controlling for country-level variables.

This research attempts to investigate the differences of consumer perceptions on product quality, price, brand leadership and brand personality among national brands, international private labels and local private labels. It aims to use product categories as the moderator of the preceding perceptions.

Data were collected outside the entrances of the main rail station of Taipei, Taiwan. A systematic sampling was adopted and 254 questionnaires were eventually collected.

The findings revealed that on the whole national brands were perceived as significantly superior to international private labels, while international private labels were perceived as being superior to local private labels in terms of all perceptions except price perception. The findings also revealed that product categories moderated price and brand personality perceptions across the three brand types, while product categories failed to moderate the effect of the three brands types on quality and brand leadership perceptions.

This research represents one of the few pioneer works that empirically investigate the aforementioned issues.