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This paper explores the intricate interdependencies among core components of airline business models (BMs). In the airline industry, where BMs are complex systems, a successful BM requires an orchestrated configuration of various components. However, there is a paucity of research in BM literature pertaining to the interrelationships among key components of airline BMs.

Employing interpretive structural modelling, we gathered input from experts in Iran to assess the driving power and dependency of elements within airline BMs.

Our findings highlight the significance of operating environment conditions and competitive market dynamics as pivotal external components shaping the foundational structure. Value proposition, customer relationship management, and process monitoring are crucial linkage components that drive power and dependency. Notably, capturing value is positioned with the highest dependency.

We utilised the ISM technique to visualize interdependencies within airline business models, aiding strategic decision-making. Our findings suggest aligning business and operational strategies with market needs ensures effective value creation and capture, maintaining competitive advantage in the airline industry. In addition, our research reveals critical factors affecting value creation and capture, emphasising monitoring the operating environment and competitive market, and strategically managing value propositions and customer relationship initiatives in the airline industry. We advise adapting business models to external changes for sustained growth and recommend regular monitoring of industry trends and customer expectations.

Framed within complexity theory, these insights offer valuable perspectives on identifying and situating critical BM components in the airline industry. The practical implications derived from this study serve as strategic tools for airline managers and potential investors to optimise the design of their airline BMs.

This study aims to report on the impact of psychological entitlement and egoistic deprivation on interpersonal and organizational deviant behavior among cabin crews. As a neglected theory in organizational research, attribution theory is used to link psychological entitlement to interpersonal and organizational deviant behavior through the mediating effect of egoistic deprivation.

A questionnaire survey was conducted in governmental and public airline companies in Iran. The survey yielded 294 effective questionnaires. Study relationships were gauged using structural equation modeling.

According to the results, psychological entitlement boosts cabin crews’ egoistic deprivation and interpersonal and organizational deviant behavior. Consistent with hypothesized proposition, cabin crews’ egoistic deprivation fosters interpersonal deviant behavior. Particularly, it appears that egoistic deprivation among cabin crews partially mediates the effect of psychological entitlement on interpersonal deviant behavior. Contrary to the authors’ prediction, egoistic deprivation does not act as the mediator in the relationship between psychological entitlement and organizational deviant behavior.

This study sheds light on relatively limited psychological entitlement literature by extending attribution theory to cabin crews’ deprivation and workplace deviant behavior.

High-skilled employees are crucial for sustained competitive advantage of organisations. In the “war for talent”, organisations must position themselves as attractive employers. This study aims to introduce a unified framework to systematically identify and prioritise organisational attractiveness (OA) components, focusing on the extreme context of the airline industry.

Treating OA as a multi-criteria decision-making (MCDM) situation, this study uses the Fuzzy Delphi Method to validate key OA factors and the Fuzzy Analytical Hierarchy Process to prioritise them based on experts’ judgements.

This study identifies 5 criteria and 22 sub-criteria for OA, with job characteristics and person–job fit as most critical. These elements signal employment quality and skill–job alignment, reducing information asymmetry and attracting talent.

This research provides a practical framework for airline managers to identify and prioritise key aspects of OA to enhance their value proposition and attract and retain qualified employees. For policymakers, applying the OA framework supports informed policy decisions on employment standards and workforce development.

This research introduces a fuzzy OA index and a framework that enhances OA. By incorporating signalling theory into a fuzzy MCDM approach, it systematically addresses key OA components, offering a strategic method to boost OA.

ChatGPT has been receiving mounting research attention recently. However, its application and challenges to adopt for tourism and hospitality businesses remain relatively unexplored. To address this research gap, this study aims to systematically assess the application of ChatGPT and its challenges within the domain of tourism and hospitality.

This study conducts bibliometric and content analyses of papers retrieved from Web of Science and Scopus. Particularly, it systematically reviewed the tourism and hospitality research to identify critical applications of ChatGPT in the context of tourism and hospitality. In addition, this study identified challenges associated with the application of ChatGPT in this context.

It has been revealed that the use of generative artificial intelligence (AI), such as ChatGPT, in tourism and hospitality research is ascending, with an opportunity to advance the existing knowledge in customer service research. In addition, the results suggest an ongoing interest in assessing the role of AI and language modeling for tourism education and human resource management.

The results are constrained by the used search keywords and electronic databases. Additionally, this study covered only papers published in English. However, the findings shed light on existing knowledge concerning ChatGPT’s transformative potential, identify areas for further exploration and offer guidelines for practice in the tourism and hospitality industry. The findings also revealed various challenges that various stakeholders should keep a closer eye on to ensure the effective and safe use of ChatGPT accordingly.

This study initiates a discussion on ChatGPT’s role in tourism and hospitality and underscores the importance of comprehensive AI integration within the sector.

近年来, ChatGPT受到了越来越多的研究关注。然而, 它在旅游和酒店业中的应用及其面临的挑战仍然相对未被探索。为填补这一研究空白, 本研究系统评估了ChatGPT在旅游和酒店业中的应用及其挑战。

本研究通过对从Web of Science（WoS）和Scopus检索的文献进行文献计量分析和内容分析。特别是, 系统回顾了旅游和酒店业的研究, 以识别ChatGPT在这一背景下的关键应用, 并识别了与其应用相关的挑战。

研究揭示了生成式人工智能（如ChatGPT）在旅游和酒店业研究中的应用日益增多, 为推动客户服务研究的现有知识提供了机会。此外, 研究结果表明, 对人工智能和语言建模在旅游教育和人力资源管理中的作用存在持续的兴趣。

本研究开启了对ChatGPT在旅游和酒店业中作用的讨论, 并强调了在该行业中全面整合人工智能的重要性。

本研究受限于所用的搜索关键词和电子数据库。此外, 本研究仅涵盖了英文论文。然而, 研究结果揭示了关于ChatGPT变革潜力的现有知识, 确定了进一步探索的领域, 并为旅游和酒店业实践提供了指导。研究还揭示了各利益相关者应密切关注的各种挑战, 以确保ChatGPT的有效和安全使用。

This study aims to identify and rank the significant determinants of stress among tourism and hospitality employees.

A mixed-method approach is used to identify and rank workplace stressors. Particularly, the synthesis of relative literature and interview with the panel of experts resulted in the preliminary identification of workplace stressors. Underpinned by fuzzy theory, in addition, the fuzzy analytical hierarchy process is used to rank identified criteria and relative sub-criteria.

Results of three-wave investigation lead to an index comprising key components and weighted ranking of workplace stressors in the tourism and hospitality industry with job characteristics as the most important criteria and mental demand as the most salient sub-criteria influencing stress at work.

The pattern of findings enhances the current knowledge regarding significant workplace stressors in the tourism and hospitality industry.

Compositional framework and the weight-based ranking of identified components may act as a source of strategic solution for managers to reduce and manage stress among employees.

Workplace stressors have attracted considerable research attention, however, no general consensus yet exists among scholars and practitioners conferring to the key composition and relative importance of workplace stressors.

Multi-criteria decision-making (MCDM) techniques are decision support systems that provide systematic approaches to solve hospitality and tourism (H&T) problems while minimizing the risk of failure. However, less is known about the application of MCDM techniques in H&T research. This study aims to systematically assess the use of MCDM techniques in H&T research to classify its current application and determine its application potential for H&T research.

This study used bibliometric analysis to examine all published MCDM studies focused on H&T industries, since 1997. In addition, topic modelling was used to discover key concepts. Finally, top cited studies in terms of total citations per year and total citations were qualitatively reviewed for more insights.

The findings revealed an ongoing interest in applying MCDM techniques in H&T research. Specifically, the extension of fuzzy theory in MCDM techniques is burgeoning among H&T researchers. However, a certain number of MCDM techniques seem to be ignored in this field with a repetitive application of MCDM techniques in particular areas.

The data for the current research was solely retrieved from Scopus and other databases were not included. Therefore, future research is called for to re-examine the study by considering data from various databases.

This study contributes to extant H&T literature by identifying the most prolific and influential countries, journals, publications and trends by applying MCDM techniques in H&T research, and elucidating the implications and characteristics of MCDM techniques in H&T research.

Entrepreneurial activity is a phenomenon that increases the economic growth of countries and improves their social welfare. The economic development levels of countries have significant effects on these entrepreneurial activities. This research examines which institutional and macroeconomic variables explain early-stage entrepreneurship activities in developed and developing economies.

The authors conducted panel data analysis on the data from the Global Entrepreneurship Monitor (GEM) and International Monetary Fund (IMF) surveys covering the years 2009–2018.

First, the authors' results reveal that cognitive, normative and regulatory institutions and macroeconomic factors affect early-stage entrepreneurial activity in developed and developing countries differently. Second, the authors' findings indicate that cognitive, normative and regulatory institutions affect early-stage entrepreneurship more positively in developed than developing countries. Finally, the authors' results report that macroeconomic factors are more effective in early-stage entrepreneurial activity in developing countries than in developed countries.

This study provides a better understanding of the components that help explain the differences in entrepreneurship between developed and developing countries regarding institutions and macroeconomic factors. In this way, it contributes to developing entrepreneurship literature with the theoretical achievements of combining institutional theory and macroeconomic indicators with entrepreneurship literature.

The purpose of this paper is to propose and test a conceptual model that examines career satisfaction (CSAT) as a mediator of the effects of high-performance work practices (HPWPs) on service recovery performance, drawing from social information processing and Bagozzi’s (1992) reformulation of attitude theories.

Data were gathered from flight attendants, with a time lag of two weeks in the private airline companies in Iran. The relationships were gauged using structural equation modeling.

The results suggest that career opportunities seem to be the most important indicator of HPWPs, followed by rewards, selective staffing, empowerment, teamwork, job security and training. The results further suggest that the availability of HPWPs boosts flight attendants’ CSAT and that, in turn, results in elevated levels of service recovery performance.

This study contributes to the current literature by linking HPWPs, as manifested by selective staffing, job security, training, empowerment, rewards, teamwork and career opportunities, to service recovery performance through CSAT based on data obtained from flight attendants.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified that the airline business model is a complex system that relies on the interdependencies of the various systems.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.