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This paper aims to examine how team-level empowering leadership related to service performance through thriving at work and how shared organizational social exchange and customer orientation moderated the latter relationships.

The authors collected the data from 283 flight attendants and their supervisors working at a major Korean airline. Multi-level analyses were used to test the effect of empowering leadership on employee outcomes.

Both team-level empowering leadership and customer orientation were significantly and indirectly associated with service performance via thriving at work. Additionally, customer orientation significantly moderated the relationship between team-level empowering leadership and thriving at work such that the relationship was stronger when customer orientation was low rather than high. In addition, shared organizational social exchange augmented the influence of team-level empowering leadership on service performance but not on thriving at work.

The findings suggest that team-level empowering leadership is more effective in enhancing thriving at work of employees when their customer orientation is low rather than high. In addition, a shared high-quality organizational social exchange augments the effect of empowering leadership on employees’ service performance.

This paper provides initial evidence of the interaction of team-level empowering leadership and individual¬-level customer orientation on thriving at work and service performance. Additionally, it documents the differential augmenting effect of shared organizational social exchange on the relationship between empowering leadership and these outcomes. Collectively, the findings explain why and when team-level empowering leadership relates to service performance.

This research aimed to fill several gaps in the tipping literature which has overlooked the server's perspective in identifying and understanding variables that influence a tip amount and therefore where they concentrate their efforts during the service encounter. Furthermore, the extant literature has theorized how or why certain variables influence the tip amount, but these studies fail to capture insight from server's which would supplement the theory and provide a more in-depth understanding of the mechanisms at play.

This study adopts a grounded theory approach using semi-structured one-on-one interviews with tipped restaurant employees who were identified and selected using snowball sampling. Content analysis is employed to code and categorize the data.

The content analysis revealed five categories where servers focus their time and effort to earn tips: service quality, connection, personal factors, expertise and food quality. The server's personality was identified as a variable the tipping literature has largely ignored as a determinant of the tip amount. Server's shift their style of service for groups of eight or more people, and for regular customers, who must dine in the restaurant at least once per week. Lastly, despite the many drawbacks associated with working for tips, servers would not want to replace it with any other method of compensation.

This is the first qualitative study focused on understanding the server's role in the service exchange relationship since McCarty et al. (1990) study. The results provide new insights on the often-studied variables from the tipping literature.

The purpose of this paper is to assess the effect of co-worker support on horizontal knowledge withholding and voluntary turnover intention among IT specialists. The study also explores the mediating role of affective organizational commitment.

The data are drawn from 118 IT specialists from a Polish software company. The model is tested through partial least squares path modeling.

The results revealed that the negative effect of co-worker support on voluntary turnover intention is fully mediated by organizational affective commitment. Contrary to expectations, co-worker support is not significantly negatively related to horizontal knowledge withholding.

The cross-sectional data, self-reports and small sample size are limitations of this study. The respondents were a relatively homogenous group of employees, so the generalizability of results to other employees and industries is limited.

To increase affective organizational commitment and reduce voluntary turnover intention among IT specialists, managers should create the conditions to enhance co-worker support.

This research clarifies the role of affective organizational commitment, which has proven to be a bridge linking co-worker support and voluntary turnover intention. Moreover, this research investigates the previously unexplored effect of co-worker support on horizontal knowledge withholding.

Controversy exists about the shape of the relationship between loyalty and profitability. This paper aims to address the possibly nonlinear effects of behavioral loyalty (BLOY) on customer spending (as a proxy for profitability). Building on social exchange theory and the norm of reciprocity, it examines the asymmetries between BLOY and customer spending and the moderating influence of personal communication (PCOMM) as a social reward and dispositional positive reciprocity as process evidence.

Study 1a (n = 309) gathered customer data from four restaurants and Study 1b (n = 252) data from hotel guests after they checked out. Study 2 is an experimental study with two manipulated factors (BLOY and PCOMM). In total, 295 participants from a large German online panel completed the study.

The results indicate an inverted-U shaped relationship between BLOY and customer spending: after reaching a turning point, customers gradually curb spending as their BLOY further increases. High PCOMM acts as a reciprocal response while triggering additional customer spending particularly at higher levels of behavioral loyalty; positive reciprocity adjusts the differences in customer spending when social rewards such as PCOMM are present.

The asymmetric relationship between BLOY and customer spending is tested only for hedonic service settings.

Not all loyal customers spend more – companies need to meet their reciprocal obligations before they can benefit from increased customer spending.

The present research re-considers the nature of the relationship between BLOY and customer spending and reveals an inverted-U shaped relationship, with a turning point beyond which greater customer loyalty decreases customer spending. It finds converging process evidence for the mechanism of reciprocity underlying this relationship. This study also details the financial impact of BLOY on the firm by investigating actual customer spending.

The purpose of this paper is to investigate whether guests’ tipping motivations (i.e. server quality, social norm and food quality) and demographic characteristics (i.e. gender, age and income) influence loyalty to the server in a restaurant.

Based on a national online survey consumer panel comprised of 468 participants, the authors utilized decision tree using R statistical software. Predictor variables were tipping motivations and demographic characteristics (age, gender and income). Target variable was loyalty to the server.

The findings suggest that social norm, food quality and income influence customers’ loyalty toward the same server on future visits. Social norm turned out to be the strongest predictor. If consumers did not have high social norm on tipping, their loyalty toward a particular server was affected by the combination of determinants such as server quality, social norm, income and food quality.

Future research can identify or develop scales of tipping motivations with stronger reliabilities in the context of restaurants. Future research can also explore other demographic differences (e.g. ethnicity and sexual orientation) in tipping motivations and server loyalty.

Servers are indeed the primary contact point and they are in the most influential position with consumers. Overall, results of this study provide an interesting insight in that restaurant guests’ experience can be ruined by bad quality of food or can be mitigated by server quality. Thus, this research highlights a step-by-step process as to the actions that a server may perform and manage in order to enhance server loyalty.

Loyalty has been examined in the context of products, brands or service providers. This study focuses on loyalty toward a specific server, because the consideration of server–guest relationship provides both a compelling and timely area of study in that restaurants continue to look for unique ways to drive server–guest rapport and customer loyalty.

This study evaluates the moderating role of work-based social supports (i.e. supervisor support and co-worker support) in the relationship between job insecurity and job burnout among hospitality employees in Malaysia. Besides, the direct effect between job insecurity and job burnout is examined.

The cross-sectional data of this study were based on a total of 220 self-administered questionnaires that have been completed by hospitality employees from three different states in Malaysia. Respondents were recruited based on a snowball sampling approach. The data were collected during the COVID-19 pandemic, which was from October 2020 to January 2021.

Partial least square-structural equation modeling (PLS-SEM) was performed via SmartPLS software. The finding confirmed that job insecurity significantly intensifies employees' job burnout. Supervisor support and co-worker support were found to moderate the link between job insecurity and burnout. As anticipated, the relationship between job insecurity and job burnout increased when supervisor support is low. But high co-worker support was found to strengthen the impact of job insecurity on job burnout instead of the reverse.

This study supplements the existing literature by clarifying which sources of work-based social support (i.e. co-worker support or supervisor) is more salient in alleviating the adverse impact of job insecurity on job burnout during the COVID-19 pandemic among hospitality employees in Malaysia.

Complaint service management, aimed at improving customer satisfaction, provides important content for incorporation into studying a closed-loop supply chain. An analysis of the relationship between two provides the basis for probing the role of complaint management (CM) in the closed-loop supply chain to help it perform more efficiently and effectively through the application of advanced technologies. This paper considers how CM can be computed combining computer communication and information technologies. This computing process involves collection, evaluation and disposal. Using computer telephone integration technology, an integrated multi-channel system is designed; complaint and production evaluated through an intelligent decision support system; and CM processing system established to implement corresponding disposal which reflects the utility of CM. This research on the process of incorporating CM into our studies has significance for computing business service in the future. Based on exergoeconomics theory, the closed-loop supply chain is discussed, and the metric about “system negative environment effect” is introduced to system performance in terms of energy expenditures; a case study illustrates the efficacy of the process

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

E-business maturity models have been widely used to guide the process of digital transformation of business. However, these models have been criticized for their predominantly technocentric approach, which is poorly suited for SMEs. The purpose of this paper is to produce a holistic, nonlinear e-business development model for SMEs that takes into account the interactions of the organization in the pursuit of its business objectives.

Based on the literature review, this paper proposes a nonlinear digital development model for SMEs that factors in the interactions between digital technologies and organizational processes. The model is applied to three cases using a qualitative research approach.

The analysis of the cases demonstrates how the model recognizes that SMEs have an agile and flexible operating structure and reduces the role of technology in order to refocus the entrepreneurs on the relationship among business goals, organizational capabilities and communication requirements.

The proposed model helps the business owners to clarify and better understand what kind of interaction levels exist between the relevant actors in the pursuit of the firm's goals and to identify the best mix of digital and nondigital communication methods to support their work. It also assists policymakers to overcome technological bias when assessing the current state of play of e-business development in the SME universe and formulate actions that support the development of digitally oriented SMEs.

This paper proposes a novel, nonlinear, interaction-based development model for SMEs in order to complement previous technocentric models focusing mainly on a mechanist perspective of e-business maturity models.

Blockchain technology was developed to synchronize the data and transactions over the supply chain network and connected nodes. This paper aims to show how blockchain technology can enhance flexibility and agility in supply chain operations. The integration of blockchain and other recently developed technology can help deal with supply chain uncertainties and other challenges being faced by the industry.

Through an extensive literature review of existing research papers and conversation with supply chain managers, barriers and challenges in the supply chain were identified. Some elements were researched of blockchain technology that can be used to resolve some challenges. Blockchain technology and other technologies integration is developed for implementation in supply chain for better visibility and efficiency of supply chain.

The challenges in the supply chain are categorized, and the solution is given through the integration of blockchain and other technologies like Internet of Things and artificial intelligence. The integration shows the execution of tasks through blockchain and various technologies in supply chain.

Blockchain in supply chain is finding its strong place in India when compared to developing nations. There is a need for technology experts, supply chain managers and consumers to understand blockchain’s importance. Challenges faced by industries to use blockchain may be analyzed further with real-life industry case studies.

This research helps enterprises in successful execution of smart technologies in their supply chains. This research helps enterprises in successful execution of smart technologies in their supply chains. Managers and practitioners may use the models developed in real-time implementation. The technologies are described in detail to help the practitioners select the best suitable for their organization.

Digital supply chains are finding the way in industries due to lean and efficient nature. It is beneficial to use the smart technologies to make supply chain green and sustainable.

The implementation of the digital supply chain and its challenges are discussed in the research paper. This will work as a platform for research in the area of technologies for supply chain.