Search results

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.

This study aims to highlight the moderating role of perceived organizational, supervisory and coworker’s support in weakening the negative relationship between fear of pandemic (FOP) and employee’s engagement in the Asian organizations. Furthermore, this study also aims to explore the role of employees’ engagement as an intervening mechanism, which mediates the relationship between FOP and employee’s performance in an Asian postpandemic context.

Based on extensive review of recent literature and sound theoretical reasoning, the authors have developed a comprehensive conceptual framework (with related theoretical propositions) which provides clear guidelines as to how Asian Business Managers/organizations can minimize the adverse effect of the employee’s fear triggered by the pandemic at the workplace and how provision of effective and timely organizational/interpersonal support (i.e. organizational, managerial and coworkers level support) can help Asian Managers address various workplace challenges created by the pandemic moving forward. This study has further validated the proposed conceptual framework and related theoretical propositions by conducting an in-depth bibliometric analysis and by developing clusters of the co-occurrences based on most recent/ relevant literature published in the area.

This study advances the knowledge in the areas of FOP and organizational support in particular. A comprehensive review of the literature clearly indicates how effective organizational, supervisory and peer support mechanism can help Asian Business Managers in alleviating the negative impact of the FOP on various employee level outcomes such as employees “engagement and performance” and how it can help Asian firms in addressing the associated challenges while working in a postpandemic context. Later on, an in-depth bibliometric analysis of the literature has revealed emerging knowledge patterns in the field and has indicated several key gaps in the existing literature which further confirms the theoretical framework and the propositions related thereto.

Though several researchers have previously examined the fear created by COVID-19 at workplace, relatively fewer researchers have tried to link it up with employees’ level of involvement/ engagement at workplace. Even fewer researchers have tried to examine the vital role that organizational, managerial and peers support can play in minimizing the adverse effects created by pandemic-induced fears for employees’ productivity and performance in an Asian workplace context. Furthermore, hardly any efforts have been made to look at this popular notion of employees’ engagement as an intervening mechanism which carries a significant potential to mediate the relationship between FOP and employees’ job performance. This study aims to bridge all these gaps by integrating the two main streams of knowledge together, i.e. Four Horsemen of Fear and Organizational Support theory. Based on strong theoretical reasoning, an in-depth review and a bibliometric analysis of the relevant literature, the authors have developed a comprehensive conceptual framework which explains how various levels of support may interact with FOP to predict different levels of employees’ engagement in a contemporary Asian workplace and how this in turn may impact employees’ job performance while at work.

The purpose of this study is to investigate the relationship between digital competence and the capability to innovate in the service sector and examine if this relationship is mediated by human capital in the context of COVID-19 pandemic.

Using a cross-sectional survey, data were collected from 188 service sector professionals in the United Arab Emirates. Data were analyzed using partial least square-based structural equation modeling.

The findings of partial least square based structural equation modeling analysis indicate that there is a significant positive relationship between digital competence and the capacity to innovate in the service sector, which is partially mediated by human capital.

This study contributes to knowledge by offering an understanding of the relationship between digital competence and innovation capability, especially in uncertain situations. This study also notes the importance of human capital as a strategic resource for innovation.

Underpinned by affective events theory (AET), this paper examines the effect of coworker friendship on coworker incivility in family-style restaurants. Furthermore, this paper seeks the mediation effect of positive workplace gossip.

Using a time-lagged approach, 83 headwaiters and 326 servers at family-style restaurants located in Port Said and Ismailia responded, and their responses were analyzed using AMOS v. 24.

Multigroup analysis findings proved that coworker friendship increased positive workplace gossip in favor of the server sample. At the same time, the latter decreased coworker incivility in favor of the headwaiter sample. Besides, positive workplace gossip partially mediated the coworker friendship–incivility association in favor of the server sample. Furthermore, incivility levels increase between married coworkers and their peers in favor of the server sample.

From the AET lens, this paper offers valuable insights into affective and emotional reactions to closest coworkers' judgmental behavior in the restaurant industry.

This study aims to examine the relationship between abusive supervision and workplace incivility using a dual theoretical framework. First, it draws on the ego depletion theory to investigate the relationship between abusive supervision and incivility by exploring the mediating role of ego depletion. Second, it integrates the job demands–resources model with the ego depletion theory to examine how perceived co-workers’ support functions as a buffer in mitigating the effects of ego depletion on incivility.

The authors tested our moderated mediation model using hierarchical linear modeling through an experience-sampling study based on data collected from a participants across five consecutive workdays.

The findings reveal employees subjected to abusive supervision are more likely to experience a depletion of self-regulatory resources. Moreover, the authors found a positive association between ego depletion and workplace incivility, suggesting that diminished self-control resulting from abusive supervision contributes to a higher likelihood of engaging in uncivil workplace behaviors. In addition, perceived coworkers’ support emerged as a significant moderating factor that attenuates the indirect impact of abusive supervision on workplace incivility through ego depletion. Specifically, when perceived coworkers’ support is high, the negative influence of abusive supervision on ego depletion, and subsequently, on workplace incivility, is mitigated.

By exploring ego depletion as the underlying mechanism and boundary conditions imposed by perceived coworker support on the relationship between abusive supervision and workplace incivility, this research contributes to a nuanced understanding of the intricate dynamics of this relationship. Based on the research findings, the authors advocate that organizations should establish and integrate support services, such as counseling and employee assistance programs, to reduce the emotional turmoil caused by abusive supervision.

Drawing on person–environment fit theory, this study aims to investigate how the relationships between service task types (i.e. utilitarian and hedonic service tasks) and perceived authenticity (i.e. service and brand authenticity) differ under different conditions of service providers (human employee vs service robot). This study further examines whether customers’ stereotypes toward service robots (competence vs warmth) moderate the relationship between service types and perceived authenticity.

Using a 2 × 2 between-subjects experimental design, Study 1 examines a casual restaurant, whereas Study 2 assesses a theme park restaurant. Analysis of covariance and PROCESS are used to analyze the data.

Both studies reveal that human service providers in hedonic services positively affect service and brand authenticity more than robotic employees. Additionally, the robot competence stereotype moderates the relationship between hedonic services, service and brand authenticity, whereas the robot warmth stereotype moderates the relationship between hedonic services and brand authenticity in Study 2.

Restaurant managers need to understand which functions and types of service outlets are best suited for service robots in different service contexts. Robot–environment fit should be considered when developers design and managers select robots for their restaurants.

This study blazes a new theoretical trail of service robot research to systematically propose customer experiences with different service types by drawing upon person–environment fit theory and examining the moderating role of customers’ stereotypes toward service robots.

Be that as it may, BC is computationally costly, has restricted versatility and brings about critical transmission capacity upward and postpones, those seems not to be fit with Internet of Things (IoT) setting. A lightweight scalable blockchain (LSB) which is improved toward IoT necessities is suggested by the authors and investigates LSB within brilliant house setup like an agent model to enable more extensive IoT apps. Less asset gadgets inside brilliant house advantage via any unified chief which lays out common units for correspondence also cycles generally approaching and active solicitations.

Federated learning and blockchain (BC) have drawn in huge consideration due to the unchanging property and the relevant safety measure and protection benefits. FL and IoT safety measures’ difficulties can be conquered possibly by BC.

LSB accomplishes fragmentation through shaping any overlaid web with more asset gadgets mutually deal with a public BC and federated learning which assures complete protection also security.

This overlaid is coordinated as without error bunches and reduces extra efforts, also batch leader will be with answer to handle commonly known BCs. LSB joins some of advancements which also includes computations related to lesser weighing agreement, optimal belief also throughput regulatory body.

The advent of Internet of Things, cloud computing and advanced computing has endowed smart manufacturing environments with resilience, reconfigurability and intelligence, resulting in the emergence of novel capabilities. These capabilities have significantly reshaped the manufacturing ecosystem, enabling it to effectively navigate uncertainties. The purpose of this study is to assess the operational transformations resulting from the implementation of smart manufacturing, which distinguish it from conventional systems.

A list of qualitative and quantitative smart manufacturing performance metrics (SMPMs) are initially suggested and categorized into strategic, tactical and operational levels. The SMPMs resemble the capabilities of smart manufacturing systems to manage disruptions due to uncertainties. Then, industry and academia experts validate the SMPMs through the utilization of the Delphi method, enabling the ranking of the SMPMs.

The proposition of the SMPMs serves as a metric to assess the digital transformation capabilities of smart manufacturing systems. In addition, the ranking of the proposed SMPMs shows a degree of relevance of the measures in smart manufacturing deployment and managing the disruptions caused due to the COVID-19 pandemic

The findings benefit managers, consultants, policymakers and researchers in making appropriate decisions for deploying and operationalizing smart manufacturing systems by focusing on critical SMPMs.

The research provides a metric to assess the operational transformations during the deployment of smart manufacturing systems. Also, it states the role of the metric in managing the potential disruptions that can alter the performance of the business due to the COVID-19 pandemic.

The aim of this study is to investigate the benefits and weaknesses of OpenVPN to access Osiris.

This study uses a case study approach to describe a phenomenon. The data collected from observation of the real-world environment.

The benefits of OpenVPN are the following: librarian can access the Osiris and other resources remotely and safely; OpenVPN protects the connection when accessing the Osiris; and librarian can also manage Osiris systems easily to control access, monitoring the users efficiently. However, there are some drawbacks of OpenVPN, such as network infrastructure dependency, require stabile internet connection, configuration complexity, to arrange and configurate OpenVPN needs skills and knowledge on the related field, data protection and security breach.

The originality of this study is the use of OpenVPN to access Osiris that is managed by library. There are some variables to determine the benefits and drawbacks of the OpenVPN such as managing access, data security and efficiency. This study gives an original contribution to the use of OpenVPN in academic libraries.

Digitalization, financial technologies and the internet have rapidly advanced the business ecosystem posing a disruptive threat to how operations are fundamentally performed. Global hospitality and tourism companies face this challenge and have been early adopters in this field. This study aims to examine the role of blockchain technology in strengthening the marketing mix (product, price, place and promotion) and the its related impacts on the tourism industry.

This research adopts a systematic literature review approach to synthesize and assess the literature published on blockchain in tourism and tends to build a conceptual framework that depicts the relationships between different constructs.

The results show a lot of interest in using blockchain technology due to numerous advantages to tourism industry. This innovative technology can change this sector radically; assist small economies in strengthening and transitioning to the level of developed economies; and assist tourism companies in eliminating corruption, establishing a secure network and promoting equality between small and large entities.

Through industry examples demonstrating real-life use cases such as startups operating on the application of blockchain in tourism, to the best of the authors’ knowledge, this paper is a first attempt to draw the impact of blockchain technology on product, price, place, promotion (4Ps) in tourism sector. The proposed nine relationships can facilitate the future researchers in advancing the state-of-art on how blockchain-based technologies can shape the customers experience through promoting confidentiality, co-creation and effective destination planning.