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Patriotism is often described as the “love of country” that individuals display in the acclamation of their national community. Despite the prominence of this sentiment in various societies around the world, organizational research on patriotism is largely absent. This omission is surprising because entrepreneurs, human resource (HR) divisions, and firms frequently embrace both patriotism and patriotic organizational practices. These procedures include (among other interventions) national symbol embracing, HR practices targeted toward military members and first responders, the adulation of patriots and celebration of patriotic events, and patriotic-oriented corporate social responsibility (CSR). Here, the authors argue that research on HR management and organization studies will likely be further enhanced with a deeper understanding of the national obligation that can spur employee productivity and loyalty. In an attempt to jumpstart the collective understanding of this phenomenon, the authors explore the antecedents of patriotic organizational practices, namely, the effects of founder orientation, employee dispersion, and firm strategy. It is suggested that HR practices such as these lead to a patriotic organizational image, which in turn impacts investor, customer, and employee responses. Notably, the effect of a patriotic organizational image on firm-related outcomes is largely contingent on how it fits with the patriotic views of other stakeholders, such as investors, customers, and employees. After outlining this model, the authors then present a thought experiment of how this model may appear in action. The authors then discuss ways the field can move forward in studying patriotism in HR management and organizational contexts by outlining several future directions that span multiple levels (i.e., micro and macro). Taken together, in this chapter, the authors introduce a conversation of something quite prevalent and largely unheeded – the patriotic organization.

Drawing on interviews with two types of essential workers – wound clinicians and care workers – the chapter examines stigma management in dirty care work through the lens of emotion management. The study combines two dimensions of dirty work: physical taint in relation to bodywork and social taint linked to working in close proximity to socially stigmatized clients. Hence, stigma management extends to dealing with the physically and socially dirty features of essential care work. In addition, the authors’ assessment of social stigma includes how essential care workers also sought to alleviate the social stigma encountered by their clients. In so doing, the authors extend the literature on dirty work to identify how emotion management skills are central to the stigma management strategies of the essential care workers in this study. The authors demonstrate how both groups deal with their stigma by emphasizing the emotion management skills in ‘doing’ dirty work and in the ‘purpose’ of this work, which includes acknowledging how the authors attempt to address the social taint encountered by their clients. Additionally, by comparing two occupations with different contexts and conditions of work, the authors show how complex emotion management skills are gendered in care work to expand the understanding of gender and stigma management. Furthermore, these emotion management skills emanate from the deep relational work with clients rather than through occupational communities. The authors argue that by focussing on emotion management, the hidden skills of dirty work in gendered care work are illuminated and contribute to contemporary debates about whether stigma can be overcome.

This paper aims to introduce the experience-dominant (Ex-D) logic model, which synthesizes the creation, perceptions and outcomes of Ex-D logic. It is designed to offer valuable insights for strategic managerial applications and future research directions.

Employing a qualitative approach by using eight selected product launch events from reviewed 100 event videos and 55 in-depth interviews with industrial managers to develop an Ex-D logic model, and data were coded and analysed via NVivo.

Results show that the firm’s Ex-D logic is operationalized as the mentalizing of the three types of customer needs (service competence, hedonic excitations and meaning making), the materializing of three types of customer experiences and customer journeys (service experience, hedonic experience and brand experience) and the moderating of three types of customer values (service values, hedonic values and brand values).

This study has implications for adding new insights into existing theory on dominant logic and customer experience management and also offers actionable recommendations for managerial applications.

This study sheds light on the importance of Ex-D logic from a strategic point of view and provides an organic view of the firm. It distinguishes firm perspective from customer perspective, firm experience from customer experience and firm journey from consumer journey.

The primary objective of this chapter is to synthesize and organize prevailing theoretical perspectives on metacognition into a framework that can enhance understanding of metacognitive phenomena, with the aim of stimulating future research in the field of organizational behavior and human resources management (OBHRM). The author starts with a review of the history of metacognition research, distinguishing it from related theoretical constructs such as cognition, executive function, and self-regulation. Following this, the author outlines five constituent elements of metacognition – metacognitive knowledge, metacognitive experiences, metacognitive monitoring, a dynamic mental model, and metacognitive control – with discussions on their interrelationships and respective functions. Two approaches to metacognition, a process approach and an individual-difference approach, are then presented, summarizing key questions and findings from each. Finally, three broad directions for future research in OBHRM are proposed: examining metacognitive processes, considering mechanisms beyond learning to explain the effects of metacognition, and exploring both domain-specific and general metacognitive knowledge and skills. The implications of these research directions for personnel and human resources management practices are discussed.

Drawing upon a push-pull-mooring model and the literature on behavioral loyalty, this research aims to examine the underlying factors and mechanisms that influence switching intention in the context of professional sport in Japan.

Using a two-wave survey design (pregame and postgame surveys), we collected data from 367 fans of a professional soccer team in Japan. Our data included three push factors (quality, satisfaction, and perceived value of the current favorite team), a pull factor (alternative team attractiveness), a mooring factor (team identification), and behavioral loyalty and switching intention to the alternative team. We used structural equation modeling to test our hypotheses.

A mediation analysis revealed that perceived value of an individual’s current favorite team was negatively associated with behavioral loyalty to an alternative team, whereas attractiveness of the alternative team was positively associated with behavioral loyalty, which, in turn, resulted in fans’ switching intention. Latent moderated structural equation modeling further revealed the negative moderating effect of team identification with the current team on the relationship between behavioral loyalty and switching intention.

The findings provide new evidence about the role of behavioral loyalty in understanding sport consumers’ switching intention and highlight the importance of team identification that can foster a sustainable and long-term relationship between fans and their favorite sport teams.

This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.

A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.

The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.

Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.

Asset maintenance in manufacturing industries is a critical issue as organizations are highly sensitive towards maximizing asset uptime. In the advent of Industry 4.0, maintenance is increasingly becoming technology driven and is being termed as Maintenance 4.0. Several barriers impede the implementation of Maintenance 4.0. This article aims at - exploring the barriers to implementation of Maintenance 4.0 in manufacturing industries, categorizing them, analysing them to prioritize and suggesting the digital technologies to overcome them.

Twenty barriers to the implementation of Maintenance 4.0 were identified through literature survey and discussion with the industry experts. The identified barriers were divided into five categories based on their source of occurrence and prioritized using fuzzy-technique for order preference by similarity to ideal solution (TOPSIS), sensitivity analysis was carried out to check the robustness of the solution.

“Data security issues” has been ranked as the most influencing barrier towards the implementation of Maintenance 4.0, whereas “lack of skilled engineers and data scientists” is the least influencing barrier that impacts the implementation of Maintenance 4.0 in the manufacwturing industries.

The outcomes of this research will help manufacturing industries, maintenance engineers/managers, policymakers, and industry professionals for detailed understanding of barriers and identify easy pickings while implementing Maintenance 4.0.

Manufacturing industries are witnessing a paradigm shift due to digitization and maintenance 4.0 forms the cornerstone. Little research has been carried in Maintenance 4.0 and its implementation; this article will help in bridging the gap. The prioritization of the barriers and digital course of actions to overcome those is a unique contribution of this article.

The aim of this study is to utilise the Theoretical Domains Framework (TDF) to identify the main barriers and facilitators of positive attitude towards trying Virtual Active Sports (VAS).

200 individuals took part in an online cross-sectional survey based on 11 domains within the TDF. Linear logistic regression analysis was performed on the participant’s self-reported attitudes and believes. Based on the results from the regression analyses, a list of suggested behaviour change techniques was designed using the Behaviour Change Wheel (BCW) framework and the BCT taxonomy (BCTTv1).

This research suggested that Beliefs about Consequences, Beliefs about Capabilities, Goal Conflict, Coping Planning, and Environmental Context and Resources are the main factors, influencing the positive attitude towards VAS and the self-reported desire to try it in the future. Future interventions were recommended and supported by 22 possible BCTs identified using the BCW approach. The TDF and BCW proved to be useful models for identifying both internal and external factors influencing fitness fans during the adoption of the new sportstech.

The main contribution of the present work was the implementation of a structured and effective approach derived from the healthcare domain to design solutions for behaviour change in the emerging and expanding virtual sports context.