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The COVID-19 pandemic, having emerged early in the year 2020, had a devastating impact on the whole aviation industry. Airlines were particularly hit hard, given unprecedented border closures, the inability to adapt to highly volatile demand, and an embarrassing lack of overall pandemic preparedness. As of summer 2022, the airline industry seems on the track of strong recovery, with many airlines returning to profits and passenger numbers occasionally exceeding those of pre-COVID-19 levels. This study investigates the induced pandemic cycle, from January 2020 to December 2022, through tools from the network science literature. We model airline networks as a collection of nodes, representing airports, and a collection of links, representing direct flights between airports. This analysis has a strong focus on spatiotemporal evolution of airlines worldwide during the COVID-19 pandemic, leading to a comprehensive description of network science effects and counter measures during this excessive health and economic shock. Such an analysis could be helpful for better dealing with future pandemics, which are likely to emerge, if potential lessons learned are not implemented by the aviation industry.

The paper aims to analyze the potential of artificial intelligence (AI) in enhancing marketing capabilities for Indian fast-moving consumer goods (FMCG) firms, with appropriate emphasis on dynamic capabilities (DC). By integrating AI into their operations, companies can enhance diverse marketing practices, leading to improved efficiency and effectiveness. In addition, the study offers valuable insights and guidance for effectively implementing AI in marketing strategies.

In-depth interviews of 26 seasoned professionals from various positions in the Indian FMCG sector were conducted for the study. A systematic approach of coding that includes open, axial and selective coding was made to recognize the themes that represent AI-enabled marketing practices. This approach ensured that the themes were precisely identified and comprehensively analyzed. Interviews followed by a rigorous coding process provide valuable insights into the practical implementation of AI-enabled marketing practices for the Indian FMCG industry.

The study’s results underscore the importance of AI in enhancing marketing practices for FMCG firms, particularly in four critical areas: personalization, consumer engagement, marketing automation and strategic goals. By adopting AI in these areas, Indian FMCG firms can significantly enhance their marketing capabilities, increasing efficiency, effectiveness and gaining a competitive advantage.

The study uses qualitative data analysis to explain how DC through AI technologies can enhance digital marketing practices for Indian FMCG organizations. Furthermore, the study provides valuable insights into how AI technologies can improve marketing capabilities and emphasizes the importance of DC. The study also proposes a framework for AI-enabled Marketing 4.0 that can guide FMCG firms seeking to leverage AI technologies to enhance their marketing practices.

This study outlines the potential for enhancing marketing practices by adapting AI in the Marketing 4.0 environment for Indian FMCG companies, highlighting the importance of DC in achieving this goal.

This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst geopolitical conflicts.

The theoretical paper uses an analysis of recent geopolitical events, with a key focus on using cryptocurrencies to undertake illicit activities.

The study found that cryptocurrencies and the innovations made within the crypto domain are used for both legitimate and illicit purposes, including money laundering, terrorism financing and sanction evasion.

This research contributes to understanding the critical role cryptocurrencies play amidst geopolitical conflicts and emphasizes the need for regulatory considerations to prevent their misuse. To the best of the authors’ knowledge, this paper is the first scholarly contribution that considers the evolving mechanisms afforded by cryptocurrencies amidst geopolitical conflicts in undertaking illicit activities.

With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.

The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.

Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.

Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.

This paper aims to systematically review, discuss and synthesize the current state of research in the realm of hedge fund activism (HFA). By exploring HFA-related literature through a transparent and rigorous method, this study identifies unexplored areas for future research to develop a comprehensive understanding of the subject.

The authors perform a systematic database survey procedure as recommended in the prior literature. The review includes 74 articles published in high-impact journals from 2008 to January 2024, sourced from the Web of Science and Scopus databases and filtered using several exclusion/inclusion criteria.

This review offers a detailed analysis of the selected papers, highlighting trends in HFA research, the most influential journals and authors and additional insights into current studies. By systematically presenting the state-of-the-art, this paper categorizes the current research into three main streams and provides a critical evaluation of existing knowledge, identifying gaps and potential directions for future research.

This study makes two significant contributions to the literature. First, this study systematically reviews HFA-related research and provides a comprehensive examination of our existing scientific understanding of the factors shaping activism and its implications. Especially, this paper adopts a rigorous methodological protocol to ensure transparency and replicability in the review process, while earlier reviews focus on specific areas and are primarily narrative. Second, this study identifies research gaps and questions across all three streams of literature, offering valuable insights for future scholars aiming to expand our knowledge of the dynamic and evolving nature of HFA.

This study aims to explore the essential factors of the reason for (RF) and reason against (RA) and their impact on tourist attitudes and intentions to use e-bike sharing services by using a novel approach based on behavioral reasoning theory (BRT).

A quantitative method was used to collect data from 292 tourists and analyze the data using the partial least squares structural equation modeling (PLS-SEM) technique.

The outcomes indicate that both “RF” and “RA” are crucial in affecting tourist attitudes and intentions to use e-bike-sharing services. In addition, factors such as convenience, price saving and time saving were identified as “RF” while “RA” weather conditions, safety concerns and image barriers were identified that affect tourist attitudes and intention to use e-bike sharing services. These findings also indicate that tourists’ values of openness to change significantly influence “RF” and have no impact on “RA” and attitude toward e-bike-sharing services.

This study provides valuable insights that complement the existing literature on electric bike sharing and BRT in the context of promoting sustainable and eco-friendly consumption.

This research takes a significant step forward in investigating the tourist attitudes and intentions toward using e-bike sharing services in a tourist destination growing economy by using the BRT theory and proposing a model that considers both the “RF” and “RA” using e-bikes for urban transportation.

本研究旨在利用基于 BRT 的新方法, 探讨使用电动自行车共享服务的支持原因（RF）和反对原因（RA）的基本因素及其对游客使用电动自行车共享服务的态度和意图的影响。

采用定量方法收集 292 名游客的数据, 并使用 PLS-SEM 技术分析数据。

结果表明“RF”和“RA”对于影响游客使用电动自行车共享服务的态度和意图至关重要。此外, 方便、节省价格和节省时间等因素被确定为“RF”, 而“RA”则被确定为影响游客态度和使用电动自行车共享服务意愿的天气条件、安全问题和形象障碍。这些发现还表明, 游客对变革的开放价值观显着影响“RF”, 但对“RA”和对电动自行车共享服务的态度没有影响。

这项研究提供了宝贵的见解, 在促进可持续和环保消费的背景下补充了有关电动自行车共享和 BRT 的现有文献。

本研究利用 BRT 理论, 在调查经济增长的旅游目的地中游客对使用电动自行车共享服务的态度和意图方面迈出了重要一步, 并提出了一个同时考虑“RF”和“RA”的模型用于城市交通的电动自行车。”

Este estudio pretende explorar los factores esenciales de las razones a favor (RF) y en contra (RA) y su impacto en las actitudes e intenciones de los turistas de utilizar los servicios de bicicletas eléctricas compartidas (e-bike sharing) utilizando un enfoque novedoso basado en la BRT.

Se utilizó un método cuantitativo para recopilar datos de 292 turistas y analizarlos mediante la técnica PLS-SEM.

Los resultados indican que tanto la “RF” como la “RA” son cruciales para afectar a las actitudes e intenciones de los turistas de utilizar los servicios de e-bike-sharing. Además, se identificaron como “RF” factores como la comodidad, el ahorro de precio y el ahorro de tiempo, mientras que como “RA” se identificaron las condiciones meteorológicas, las preocupaciones por la seguridad y las barreras de imagen que afectan a las actitudes de los turistas y a su intención de utilizar los servicios de e-bike sharing. Estos resultados también indican que los valores de apertura al cambio de los turistas influyen significativamente en “RF” y no tienen ningún impacto en “RA” ni en la actitud hacia los servicios de e-bike sharing.

Este estudio aporta valiosas ideas que complementan la bibliografía existente sobre el uso compartido de bicicletas eléctricas (e-bike sharing) y el BRT en el contexto de la promoción de un consumo sostenible y respetuoso con el medio ambiente.”

Esta investigación da un importante paso adelante en la investigación de las actitudes e intenciones de los turistas hacia la utilización de los servicios de e-bike sharing en un destino turístico de economía en crecimiento utilizando la teoría del BRT y proponiendo un modelo que tiene en cuenta tanto la “RF” como la “RA” que utilizan las e-bikes para el transporte urbano.”

This study aims to examine the relationship between leadership style and job performance by multiple mediating roles of career satisfaction and job satisfaction using the longitudinal approach for frontline employees in the Jordanian hotel sector.

This study used a survey questionnaire based on a five-year longitudinal approach. Data were collected in two-period among frontline employees in five-star hotels in Jordan. Leadership style (transformational leadership and transactional leadership) was measured in the first period, whereas job performance, career satisfaction and job satisfaction were measured in the second period. The final sample for the first and second periods comprised 314 questionnaires valid for more analysis. The statistical software of SPSS (version 25) and SmartPLS (version 3.3.5) have been used for data analysis.

The results demonstrated that leadership style (transformational leadership and transactional leadership) has a positive significant effect on job performance. The results demonstrated also that leadership style (transformational leadership and transactional leadership) has a positive significant effect on career satisfaction and job satisfaction. As well the results demonstrated that career satisfaction and job satisfaction have a positive significant effect on job performance. Regarding multiple mediating roles, the results demonstrated that career satisfaction and job satisfaction mediated the relationship between leadership style and job performance.

To the best of the authors’ knowledge, this is the first study of its kind to examine the relationship between leadership style and job performance by multiple mediating roles of career satisfaction and job satisfaction using the longitudinal approach among frontline employees in the hotel sector.

This paper aims to develop a conceptual framework for comprehending and identifying the dimensions of corporate communication management (CCM) over time. To achieve this objective, it synthesizes existing research and reviews the literature on the dimensionality of CCM.

Using a literature search on Web of Science (WoS), a total of 17 articles from 8 referred journals and international conferences published from 2012 to 2022 are systematically reviewed employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework.

It has been found that despite the growing interest in CCM, academic literature on CCM is limited. The results highlight that there is a nonuniformity in terminology within the field and that the most repeated dimensions are media relations, dimensions related to strategy, corporate advertising, public relations, investor relations, employee communication, public affairs and internal communication. However, an overview of the findings allows for the proposal of an integrative framework for CCM.

The paper offers a thorough compilation of publications on the dimensionality of CCM and categorizes them based on various attributes. This outcome aims to assist researchers and corporate communication practitioners by elucidating the subject matter through the conceptualization of CCM dimensions. The study underscores the necessity for future research utilizing quantitative or mixed-method approaches to further develop the concepts examined, thereby contributing to a more comprehensive understanding of the dimensions and applications of CCM.

Based on the socioemotional wealth (SEW) perspective, this paper aims to focus on the mixed-gamble logic to study the process of internationalization of family firms.

The qualitative multiple case study is based on four longitudinal Irish case studies.

This study proposes that family leaders assess potential SEW gains and losses when facing international strategic decisions. Findings show that family firms build legacy through international practices and, subsequently, gain long-term legitimacy, defined as the transgenerational status and credibility obtained by their family leaders.

Given the importance of international practices for the achievement of legacy, and ultimately legitimacy, practitioners should be aware of the critical role that internationalization could play.

The study develops a framework that contributes to a more fine-grained understanding of the internationalization process of family firms.