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Drawn from the push–pull perspective, this research aims to identify the determinants of Chinese technology's outward foreign direct investments (OFDI) into the Eurasian region.

The authors argue that contrary to the extant literature, technology-driven OFDI from emerging-market multinationals (EMNEs) do not always seek developed countries, and EMNEs' technology investments in emerging economies are rising indicating that there are factors in these economies that can prove attractive. The authors recognize the influence of the macroeconomic environment and the interaction of home and host-country institutional contexts that influence the location choice of EMNEs technology-driven OFDI into other emerging economies, mediated by the industry sector and firm's ownership structure. The authors test our hypotheses using a sample of 1,656 observations of Chinese MNEs' tech-investments in the Eurasian region from 2005 to 2019.

The study results indicate that bilateral diplomatic relations pave the way of the host-country institutional environment for Chinese MNEs uncovering the role of the Chinese government as an OFDI facilitator. This study also unveils a lower technology level of the Chinese MNEs' investments in the Eurasian region connoting an interest in market opportunities exploitation through their existing technologies – through its comparative advantage in the global markets – rather than strategic assets acquisition aiming at augmenting their technological capabilities. This trend is similar to that of other major foreign direct investment (FDI) source countries.

This research contributes to a better understanding of the characteristics and the location choice of technology investments from EMNEs into other emerging economies that have received scant attention in the literature. In addition, it extends the institutional theory by analyzing how home-country institutions, through bilateral diplomatic relations, may smooth the host country institutional environment for home-country MNEs' foreign investments and contributes as well to the debate on the applicability of the existing theoretical framework in the case of emerging-market MNEs.

The rapidly growing medical tourism sector impacts sending and receiving countries’ health systems. It is growing rapidly, and medical procedures, technology and high-quality healthcare are expensive and unequal. Low-to-middle-income countries’ citizens travel abroad for better healthcare for cost or other reasons. Medical tourism in developing countries is poorly understood, despite empirical studies from developed countries and various disciplines. This paper aims to analyze the motivational factors that influence Nepalese patients’ decisions to seek outbound medical tourism in Nepal.

The study adopted a quantitative approach. The study purposefully included individual patients who had undergone medical treatment abroad to form the sample for research purposes. Among the 400 respondents, 382 responses were deemed the final sample size. A questionnaire was developed on a seven-point Likert scale. The study proceeded with a sequential analysis approach, commencing with the evaluation of the measurement model before conducting path analysis to test the hypotheses and present the model estimates.

The study found that the individuals supported outbound medical tourism and were open to medical treatment abroad. Outbound medical tourism is highly related to service quality and word-of-mouth communication along with the insurance policy, language and culture, treatment cost and procedural safety. However, service quality and word-of-mouth communication significantly affect outbound medical tourism, with service quality having a large effect. These findings of the study shed a different dynamics of the factors influencing Nepalese individuals’ decision regarding outbound medical tourism.

This study focuses to a developing country in which the country’s healthcare system lacks proper infrastructure and services, is overcrowded, lacks expertise and technology and private hospitals are scarce. As a result, more people are seeking treatment across borders. Though researchers from developed countries and different disciplines have carried out empirical studies on medical tourism, little is known about this phenomenon in developing countries. Therefore, this study explores the motivational factors for outbound medical tourism in Nepal. This study addresses these key research issues to highlight Nepal’s underexplored outbound medical tourism and its drivers.

This study investigates the determinants of eco-buying behavior by incorporating individual attributes such as personality traits and personal values and the theory of planned behavior (TPB). It also explores status consumption’s potential role in motivating eco-fashion purchases.

Conducted through an online survey with 436 respondents in the UK, the study utilizes structural equation modeling (SEM) to analyze the data.

The study contributes to the eco-friendly consumer behavior literature in fashion, revealing that social influence, need for uniqueness, public self-consciousness, green consumption values and prosocial attitudes significantly influence both eco-behavior and status consumption. Interestingly, while no substantial impact of status consumption on eco-behavior was observed overall, a multi-group analysis unveils distinctive perceptions and intentions. A clustering analysis identifies two significant segments (status buyers and eco-savvy fashionistas) exhibiting markedly different relationships between variables necessitating tailored marketing approaches concerning eco-fashion buying.

Theoretically, the study highlights the limitations of the TPB in capturing evolving consumer dynamics, calling for refined models that incorporate personal values and specific motivations to better understand sustainable consumption.

For “Status Buyers,” marketers should focus on their desire for uniqueness and present eco-fashion as a status symbol using social proof and influencer marketing. For “Eco-Savvy Fashionistas,” strategies should highlight environmental benefits, provide educational resources and offer tools to track environmental impact.

This study deepens our understanding of eco-friendly fashion purchases by accounting for the diverse perceptions and values that drive consumer behavior. Recognizing the heterogeneity within the sample reveals previously overlooked nuances in this complex decision-making process.

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 examine the mediating role of employee work engagement (EE) in the influence of job autonomy (JA) on innovative work behaviour (IWB) among pre-university teachers in Ghana.

To test the hypotheses set in the study, data was obtained from 202 pre-university teachers in Ghana using a questionnaire. Analyses of the data was done through partial least square structural equation modelling. The significance of the hypothesised paths was determined using bias-corrected and accelerated confidence intervals.

Teachers’ JA influences their IWB and work engagement. Also, EE influences IWB of teachers. Finally, EE plays a mediating role in the influence JA has on the IWB of teachers.

This study adds to the dearth of studies regarding the influence of JA on the IWB of teachers through work engagement using data from a heterogeneous group of pre-university teachers in Ghana.

Purpose – This study aims to investigate how behavioural biases affect cryptocurrency investment choices. The study also evaluates how risk tolerance mediates the relationship between behavioural biases and investment decision-making.

Need for the Study – The study is required to refine research methods and to ensure the reliability and validity of findings on behavioural biases in cryptocurrency investment decision-making.

Methodology – This pilot study involved responses from individuals in India’s western and northern regions who either invested in cryptocurrencies or had adequate knowledge of such investments. To assess the normality, validity, and reliability of the questionnaire data, a sample of 51 individuals was analysed using SPSS software.

Findings – The results of this study validate the reliability of the questionnaire in conducting pilot research by attaining high reliability with high coefficients of measures and reasonable normality.

Originality/value – The study confirmed the tool’s efficiency to analyse various specific antecedents influencing investing choices.

What kind of robotic service do customers prefer when they dine out alone? This study aims to investigate how robotic service type affects solo diners’ attitude toward robotic service and restaurant revisit intention, through the mediation of rapport. It also examines the moderating effects of the need to belong and restaurant type.

Three experiments were conducted. Study 1 used a one-factor between-subjects design to test the effect of robotic service type on rapport and solo diners’ responses. Study 2 conducted a 2 (robotic service type: service-delivery vs entertainment) × need to belong quasi-experimental design to examine the moderation of need to belong. Study 3 used a 2 (robotic service type: service-delivery vs entertainment) × 2 (restaurant type: traditional restaurant vs solo-friendly restaurant) factorial between-subjects design to test the moderation of restaurant type. A qualitative study (Study 4) complements the experimental results based on semistructured interviews.

Entertainment (vs service-delivery) robotic service has a stronger effect on solo diners’ responses, with rapport serving as a mediator. Additionally, solo diners with a heightened need to belong demonstrate an intensified rapport effect when receiving entertainment-oriented robotic service. Furthermore, restaurant type plays a moderating role between robotic service type and consumer responses. For traditional restaurants, solo diners who receive entertainment (vs service-delivery) robotic service tend to form stronger rapport and favorable responses. The results of the qualitative study elucidate and support the hypothesized relationships of the experimental studies.

Restaurant operators could consider offering entertainment-based smart devices that allow solo diners to indulge themselves during the dining encounter. Restaurants could also design environmental cues that can signify a sense of comfort, such as redesigning tables with individual seats for solo diners to enhance their perceptions of shared characteristics among other solo diners in the same space.

This research advances the literature on solo dining and robotic service, by investigating how human–robot interaction can fulfill solo diners’ relatedness goals, as self-determination theory suggests. This inquiry also represents an early attempt in the hospitality literature to empirically examine the influence of robotic service type on consumer responses through the mediation of rapport.

This study aims to investigate the factors influencing consumer attitudes towards purchasing sustainable fashion. In particular, the authors examine the impact of self-transcendence and self-enhancement values on consumer attitudes towards purchasing sustainable fashion. The authors also examine the enablers (environmental concern, durability and fashion leadership) and barriers (fashion consciousness and price sensitivity) of sustainable fashion purchase behaviour.

The authors used a Web-based self-administered survey to collect data from 350 millennials. Partial least squares structural equation modelling was used to analyse data.

The findings indicate no substantial impact of self-transcendence values on attitudes towards sustainable fashion – while self-transcendence values exerted a notable effect on sustainable purchasing behaviour and environmental concerns. Furthermore, the results revealed no relationship between individuals’ attitudes towards sustainable fashion and their purchasing behaviour, whereas a strong relationship has been established between environmental concerns and attitudes towards sustainable fashion.

It provides empirical insights into factors that are pertinent in understating barriers and drivers of sustainable fashion behaviour among millennials.

This study uses the value-attitude-behaviour hierarchy to understand the purchase intentions of sustainable fashion, extending the range of sustainable consumption factors associated with attitudes and behaviour gaps.

The Q method is an inherently mixed-method approach suitable for tackling issues regarding theory, conceptualization and operationalization in the social sciences. Nevertheless, the application of this method in organizational behavior (OB) studies is still limited. This paper aims to delineate to what extent, regarding what topics, and in what ways the Q method has been applied in OB studies. Moreover, it aims to systematically explore the strengths and weaknesses of this method for the OB field.

We present a systematic literature review of 47 studies employing the Q method in OB research.

There is an upward trend in the application of Q in OB research. The studies in our sample address the following OB topics: Human resource management (HRM) (14), leadership (10), group decision-making (6), collaboration (4), culture (9) and organizational change and development (4). We describe how Q is used in a wide variety of ways.

This study shows how performance-oriented organizations can benefit from the Q method as a managerial diagnostic and intervention tool in organizational change and development and in human resources management.

To the best of the authors’ knowledge, this is the first systematic literature review on the Q method that spans the field of organizational behavior across topics and research levels, including the individual, team and organizational levels.

Based on a contingent resource-based view, this paper explores whether and how data-driven supply chain orientation (DDSCO) affects supply chain performance (SCP).

Survey data were collected from 307 manufacturers in China, Confirmatory factor analysis confirmed the reliability and validity of measures, and bootstrapping was used to test all hypotheses.

DDSCO positively and significantly influences SCP and supply chain risk management capabilities (i.e. robustness and resilience). Additionally, supply chain risk management capabilities partially mediate the relationship between DDSCO and SCP. Furthermore, the findings provide evidence for the moderating effect of supply dynamism on the DDSCO–SCP relationship, with robustness and resilience capability functioning as mediators.

Building upon existing digital strategies and supply chain performance literature, this study provides a new perspective (supply chain risk management capabilities) on maintaining a sustainable supply chain under supply dynamism. These findings offer new theoretical and managerial contributions that add value to the supply chain management literature.