Search results

This study explores the global phenomenon of BangTan Sonyeondan (BTS), a Korean singing group, from an under-researched art and entertainment market perspective. We introduce a research model to delineate the impacts of leadership motivation, socio-technological practices and global prominence outcomes.

The theoretical foundation clarifies the research context, justifying the relevance of key concepts, linking them to primary research questions and forming the basis for a well-structured empirical investigation. Our research model presents the flows of leadership influence, training practices, technology use and global prominence outcomes. Utilizing a survey instrument, we gathered data from BTS fans and analyzed the empirical findings.

BTS’s success is attributed to unique factors: (1) upstream flow of leadership influence; (2) process flow of internal service training and technological excellence, fostering stakeholder enthusiasm. The results indicate that service empowerment leadership is crucial in driving talent development and appropriate technology use, enhancing brand reputation. Fan loyalty and collective passion are key moderators in these dynamics.

While focused on BTS, our findings have broader applicability in entertainment organizations, underscoring the relevance of socio-technological theory in understanding phenomena similar to BTS’s success.

Long-term brand performance in service organizations extends beyond financial metrics and necessitates empowering service leadership, training for key performers, technological infrastructure and managing personal interactions and group dynamics.

This study is unique in applying a leadership motivation perspective and socio-technological theory to BTS’s long-term success, utilizing BTS fans’ views to examine and assess their success factors and outcomes.

The study aims to examine the association between virtual communication effectiveness (VCE), leadership effectiveness (LE) and the role of emotional intelligence (EI) in the post-pandemic era.

A survey was conducted among 305 employees in the Indian IT sector using an online questionnaire. Data were analyzed using reliability, validity and moderated regression analysis.

The findings reveal that VCE is a significant predictor of LE. EI plays a significant moderating role between VCE and LE.

This study establishes the role of EI in pre-empting LE. Furthermore, it results in the advancement of improved tools for the selection, training and development of leadership talent. Research on virtual communication (VC) and EI enhances our understanding of effective leadership. To the best of the authors’ knowledge, the present research is one of the first to link and standardize various practices of VC, and EI to increase LE in the post-pandemic era.

This paper sheds light on the factors facilitating the digital transformation (DT) of companies, examining the empirical evidence according to a new and original dual lens: the internal and external marketing management perspective.

Through an explorative research design based on semi-structured interviews, we investigate the perceptions of some managers involved in managing the DT of their own companies.

The findings, organized from an internal and external marketing perspective, show how DT requires efforts in nurturing: (1) its organizational and cultural nature; (2) new managerial skills and e-leadership. These factors activate DT as an accelerator of (3) production processes and service provision and (4) competitive strategies.

Our findings underscore critical practical implications for organizations embarking on a DT journey. Firstly, managers should prioritize creating a culture that encourages employees to embrace change and technology. Secondly, recognizing the importance of new managerial skills and e-leadership, managers need to invest in developing the expertise to effectively lead DT efforts. The related skills encompass digital literacy, change management and the ability to inspire and guide teams through the complexities of a DT.

This paper suggests that organizations should holistically approach DT, focusing on culture, leadership and strategic deployment of digital tools. The proposed dual lens offers a valuable and simple answer for academics and practitioners to effectively frame the internal dynamics and external factors shaping DT.

Notwithstanding their potential benefits especially for individuals with low health literacy, users are still somewhat skeptical about the reliability of healthcare chatbots. The present study aims to address this challenge by investigating strategies to enhance users’ cognitive and emotional trust in healthcare chatbots. Particularly, this study aims to understand the effects of chatbot design cues in increasing trust and future chatbot use intention for low health literacy users.

We conducted two experimental studies with a final sample of 327 (Study 1) and 241 (Study 2). Three different chatbots were developed (Chatbot design: Bot vs Male-doctor vs Female-doctor). Participants were asked to have a medical consultation with the chatbot. Participants self-reported their health literacy scores. The PROCESS model 7 was used to analyze the hypotheses.

The results showed that the female-doctor cues elicited greater cognitive and emotional trust, whereas the male-doctor cues only led to greater cognitive trust (vs bot-like cues). Importantly, this study found that users’ health literacy is a significant moderating factor in shaping cognitive and emotional trust. The results indicated that both the female and male-doctor cues’ positive effects on cognitive trust were significant for those with lower levels of health literacy. Furthermore, the positive effect of the female-doctor cues on emotional trust was also significant only for those whose health literacy level was low. The increased cognitive and emotional trust led to greater future intention to use the chatbot, confirming significant moderated mediation effects.

Despite the strong economic and educational benefits of healthcare chatbots for low health literacy users, studies examining how healthcare chatbot design cues affect low health literate users surprisingly remained scarce. The results of this study suggest that healthcare chatbots can be a promising technological intervention to narrow the health literacy gap when aligned with appropriate design cues.

The purpose of this paper is to explore multiple perspectives on managerial coaching: why and how managers engage, employees and human resource development (HRD) professionals’ perspectives on the use and how HRD and managers can better support each other with it.

This study used secondary analysis of empirical data already collected through a transnational study from 20 different medium-size to large organisations in the Netherlands, the UK and the USA. For this study, 58 interviews referring to coaching were analysed from 18 of these organisations, from these 3 different countries and from 3 stakeholder groups: managers, employees and HRD professionals.

Findings show that managers perform a variety of “on the job” informal coaching roles and that HRD professionals lead the more formal aspects. Managers felt that HRD support was limited and hoped for more. A limited number of employees mentioned coaching, but those that did highlighted the different types of coaching they received in the workplace, referring to managers but with little recognition of HRD’s role. HRD professionals shared how they support managers through both informal and formal coaching approaches, but this was not fully acknowledged by neither managers nor employees.

The findings of this study contribute to the literature on devolved HRD practices, highlighting that managers are engaging more in managerial coaching with their teams, that potentially employees are not that aware of this and that managers and employees are not fully aware of HRD’s contribution to supporting coaching and feel they could do more. As a result, this study suggests that HRD professionals have a clear role to play in creating and leading the supportive organisational culture for coaching to thrive, not only in setting the “coaching scene” for managers to work within but also through offering support for long-term capacity building for all employees.

Through the diffusion of key HRD activities into managerial roles, and while internal coaching is gaining more momentum, managers now step up when coaching their teams. This study extends the limited prior research on managers’ and others’ (employees and HRD) beliefs about the coaching role in the workplace. This study highlights the changing role of the manager, the need for HRD to offer more support for the joint role that managers are taking (manager and coach) and the partnership potential for HRD professionals to include all stakeholders including employees.

This paper aims to systematically review the application of artificial intelligence (AI) in the tourism industry. By integrating human–computer interaction, machine learning, big data and other relevant technologies, the study establishes a comprehensive research framework that explores the systematic connections between AI and various facets of tourism.

This paper conducts a keyword co-occurrence analysis of 4,048 articles related to AI in tourism. The analysis identifies and classifies dominant topics, which are further refined through thematic literature review and manual coding for detailed discussion.

The analysis reveals five main topics: AI’s impact on tourist experience, AI in tourism marketing and prediction, AI in destination management, AI’s role in tourism enterprises and AI integration in strategic and regulatory framework. Each topic is reviewed to construct an integrated discussion that maps the current landscape and suggests directions for future research.

This paper transcends the fragmented discourse commonly found in the literature by establishing a unified framework that not only enhances understanding of the existing methodologies, theories and applications of AI in tourism but also identifies critical areas for breakthroughs, aiming to inspire a more humane and sustainable integration of AI in the tourism industry.

本文旨在系统回顾人工智能（AI）在旅游业中的应用。通过整合人机交互、机器学习、大数据和其他相关技术, 本研究建立了一个全面的研究框架, 探索人工智能与旅游业各方面之间的系统联系。

本文对4048篇与旅游业人工智能相关的文章进行了关键词共现分析。分析确定了主要议题并对其进行了分类, 然后通过主题文献梳理和手动编码对其进行了进一步完善, 以便进行详细讨论。

分析揭示了五个主要主题：人工智能与旅游体验、人工智能与旅游营销和预测、人工智能与目的地管理、人工智能与旅游企业, 以及人工智能在战略和监管框架中的整合。每个主题都进行了回顾, 以构建一个综合讨论, 勾勒出当前的研究格局, 并提出了未来的研究方向。

研究力图突破目前关于旅游与人工智能的碎片化讨论, 建立了一个统一的框架, 旨在加强对旅游业中人工智能现有方法、理论和应用的理解, 还点明了需要突破的关键领域, 以助力旅游业与人工智能共同创造更加人性化和可持续发展的前景。

Este artículo pretende revisar sistemáticamente la aplicación de la inteligencia artificial (IA) en el sector turístico. Mediante la integración de la interacción humano-ordenador, el aprendizaje automático, big data y otras tecnologías relevantes, el estudio establece un marco de investigación exhaustivo que explora las conexiones sistemáticas entre la IA y diversas facetas del turismo.

Este trabajo realiza un análisis de co-ocurrencia de palabras clave de 4.048 artículos relacionados con la IA en el turismo. El análisis identifica y clasifica los temas dominantes, sobre los que se profundiza mediante una revisión temática de la literatura y una codificación manual para su discusión detallada.

El análisis presenta cinco temas principales: El impacto de la IA en la experiencia turística, la IA en el marketing y la predicción turística, la IA en la gestión de destinos, el papel de la IA en las empresas turísticas y la integración de la IA en el marco estratégico y normativo. Cada tema se revisa para construir un debate integrado que trace el panorama actual y sugiera direcciones para futuras investigaciones.

Este artículo expande el análisis fragmentado que suele encontrarse en la bibliografía al establecer un marco unificado que no sólo mejora la comprensión de las metodologías, teorías y aplicaciones existentes de la IA en el turismo, sino que también identifica las áreas críticas para los avances, con el objetivo de inspirar una integración más humana y sostenible de la IA en la industria turística.

Corporate social responsibility (CSR) might be among the primary factors ensuring any organization’s survival, and disclosing its related information is very important. This research initially investigates the effect of managers’ behavior characteristics, including overconfidence, myopia and narcissism and corporate political ties on the disclosure of CSR. This study also aims to assess the mediating impact of political connections on the association between managerial personality traits and CSR.

The research sample included 129 listed companies on the Tehran Stock Exchange from 2013 to 2020. Behavioral managerers charecteristics. A multivariate regression method with combined data (firm-year) was used to test the research hypotheses.

The results show that overconfidence and managerial myopia cause the disclosure of CSR to decrease. Managers’ overconfidence and short-term attitudes lead to a decrease in the level of CSR activities of the companies and their disclosure, respectively, 0.021 and 0.025. However, the existence of narcissism in managers and having political ties by companies may lead to an increase in the disclosure of the CSR, respectively, around 0.089 and 0.02. Further findings also indicate that political connections may motivate narcissistic managers to increase CSR disclosure near 0.037. However, the results document no significant impact of political ties on the relationship between managerial overconfidence and myopia with CSR involvement.

According to the findings, the authors recommend to stockholders that employing narcissistic managers and improving political connections might be two effective strategies to enhance the level of CSR engagement. One of the critical limitations of the current paper might be its generalizability. As Iran is an emerging and fossil fuel seller country, its institutional settings may significantly differ from those of developed and industrial nations. Thus, the readers of these nations must consider such an important issue.

For the first time, to the best of the authors’ knowledge, this research has investigated the moderating effect of political ties on the association between management behavioral characteristics and the level of fulfilling CSR by listed companies.

This paper aims to examine the stock market performance of knowledge-intensive employee-owned firms.

It constructs a portfolio comprising stocks of employee-owned wealth management companies listed in the UK Employee Ownership Index. A simple equal-weighted portfolio simulation strategy with annual rebalancing is employed and returns are analysed for the period 01.2002–12.2015.

The employee-owned firms consistently generate significantly higher returns, averaging 13% per annum. During favourable market conditions, the returns are even more significant at 16.40% higher than the market average annual returns. The outperformance persists in single-year and five-year investment periods, full and sub-sample periods, including bullish, stable and challenging economic times and even at high transaction costs and zero dividends. This superior performance is linked to a positive feedback loop created by homogeneous knowledge-workers who are incentivised to perform better in employee-owned business setting through participative decision-making and exhibiting risk aversion skills.

Adoption of the employee ownership model of running a business can be highly rewarding within knowledge-intensive firms. This study emphasises the need for a comprehensive database of employee-owned companies, which is currently lacking in the UK.

No prior study could be found to have studied the relationship between employee-owned knowledge-intensive firms and their stock market performance.

The procedural justice theory of police legitimacy has been examined extensively by previous scholars; yet more expansion of the legitimacy literature is warranted. Specifically, the current study examines the effects of institutional trust and obligation to obey as mediators between procedural justice and perceived legitimacy.

The current study uses structural equation modeling (SEM) to test our hypotheses. Convenience sampling of South Korean university students (N = 2,188) was used to investigate our inquiry.

The results support our hypotheses in that while procedural justice was the primary predictor of legitimacy, institutional trust and obligation to obey were also significant mediators of procedural justice and perceived legitimacy.

A multitude of research examining various predictors of police legitimacy exists (e.g. Baker and Gau, 2018; Boateng and Buckner, 2019; Boateng et al., 2022; Lee and Lee, 2021; Lee et al., 2022, 2024; Lee and Kim, 2023; Nagin and Telep, 2017). More importantly, various researchers have concluded that procedural justice does in fact have a positive impact on the public’s perception of governmental institutions (Hough et al., 2010; Mazerolle et al., 2013a; Murphy and Cherney, 2012; Sunshine and Tyler, 2003). A few research have directly examined institutional trust in the policing context (e.g. Boateng, 2018; Camp et al., 2021). Specifically, Boateng (2018) examined institutional trust and its relationship to police performance, and Camp et al. (2021) examined police officers’ prosody and its impact on the citizens’ institutional trust in police. However, the objective of the current research is to examine the relationship between procedural justice and legitimacy through the double mediating role of the public’s perception of institutional trust and obligation to obey.

The aim of this paper is to develop an approach for identifying the optimal level of automation by maximizing the level of automation and accuracy while addressing problem areas of forecast quality.

We use a unique set of forecasts planned by six subsidiaries of a multinational corporation to train and test various models. We compare the accuracy of three levels of automation and how they address prevalent forecasting process quality problem areas.

The findings indicate that accuracy alone is not a sufficient dimension to consider when selecting the optimal level of automation but that forecast process quality areas need to be assessed as well.

The limitations of this work are the inability to study the effects of our tool’s recommendations, the sample originating from a single company, the use of simple statistical methods and the limited number of dimensions to evaluate forecasts.

Firms should apply the structure offered in this paper to target individual components of the cash flow forecasting process when automating it and use it to structure their discussion, planning and implementation of automation.

A novel approach for determining the optimal level of automation for cash flow forecasting combining the human information processing framework of Parasuraman et al. (2000) with the forecast quality problem areas by Fildes and Petropoulos (2015).