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This study aims to identify the updated areas in family business innovation (FBI) and propose a future research agenda for scholars in the domain.

Using VOSviewer and Bibliometrix-R, this study conducts a bibliometric analysis on 699 Scopus-indexed journal articles/reviews to analyse FBI’s performance and intellectual structure.

This study provides up-to-date assessment through performance analysis. Through the co-citation, co-word and thematic evolution analysis, this study unpacks FBI themes/topics to propose possible future avenues.

The findings provide insights into resilient innovation-driven family businesses to enlighten the next generation of family business leaders with essential innovation knowledge for sustainable growth.

This study complements past FBI reviews by offering renewed perspectives that future research can focus on, in turn, enhancing literature on contemporary, relevant topical issues in the FBI post-COVID-19 pandemic.

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.

Researchers from Malaysia found that the relationship between transformational leadership and workplace digitalization was mediated by innovative culture. They authors felt their study helped to understand the role of organizational factors in shaping employee’s perception and acceptance of digitalization.

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.

Advances in material agency driven by artificial intelligence (AI) have facilitated breakthroughs in material adaptivity enabling smart objects to autonomously provide individualized smart services, which makes smart objects act as social actors embedded in the real world. However, little is known about how material adaptivity fosters the infusion use of smart objects to maximize the value of smart services in customers' lives. This study examines the underlying mechanism of material adaptivity (task and social adaptivity) on AI infusion use, drawing on the theoretical lens of social embeddedness.

This study adopted partial least squares structural equation modeling (PLS-SEM), mediating tests, path comparison tests and polynomial modeling to analyze the proposed research model and hypotheses.

The results supported the proposed research model and hypotheses, except for the hypothesis of the comparative effects on infusion use. Besides, the results of mediating tests suggested the different roles of social embeddedness in the impacts of task and social adaptivity on infusion use. The post hoc analysis based on polynomial modeling provided a possible explanation for the unsupported hypothesis, suggesting the nonlinear differences in the underlying influencing mechanisms of instrumental and relational embeddedness on infusion use.

The formation mechanisms of AI infusion use based on material adaptivity and social embeddedness help to develop the business strategies that enable smart objects as social actors to exert a key role in users' daily lives, in turn realizing the social and economic value of AI.

This study advances the theoretical research on material adaptivity, updates the information system (IS) research on infusion use and identifies the bridging role of social embeddedness of smart objects as agentic social actors in the AI context.

This paper aims to investigate the key enablers and inhibitors that influence the intention to use fitness wearables using the value-based adoption model (VAM).

Data were collected using a structured online questionnaire from 323 respondents who had never used fitness wearables. A purposive sampling technique was used in this study. Smart PLS was employed to test the research framework and hypotheses using a two-step approach.

The findings support some of the hypotheses developed with R² values of 0.622 for perceived value (PV) and 0.567 for intention to use fitness wearable. Perceived enjoyment, perceived social image and perceived usefulness had a positive effect on PV. In addition, health information sensitivity (HIS) was positively related to perceived privacy risk and health information accuracy was positively related to perceived usefulness. Surprisingly, this study did not find any significant relationship between perceived fee, perceived privacy risk, perceived health increase and perceived design aesthetics with PV.

This study's findings can help designers and manufacturers design fitness wearables by considering factors that users find valuable, thus satisfying consumers' needs.

This study tries to model behavioural intention of fitness wearable usage of individual users by using the VAM with the addition of two new antecedences, HSI and health information accuracy, to better explain the behaviour.

To cope with the COVID-19 pandemic, contact tracing mobile apps (CTMAs) have been developed to trace contact among infected individuals and alert people at risk of infection. To disrupt virus transmission until the majority of the population has been vaccinated, achieving the herd immunity threshold, CTMA continuance usage is essential in managing the COVID-19 pandemic. This study seeks to examine what motivates individuals to continue using CTMAs.

Following the coping theory, this study proposes a research model to examine CTMA continuance usage, conceptualizing opportunity appraisals (perceived usefulness and perceived distress relief), threat appraisals (privacy concerns) and secondary appraisals (perceived response efficacy) as the predictors of individuals' CTMA continuance usage during the pandemic. In the United States, an online survey was administered to 551 respondents.

The results revealed that perceived usefulness and response efficacy motivate CTMA continuance usage, while privacy concerns do not.

This study enriches the understanding of CTMA continuance usage during a public health crisis, and it offers practical recommendations for authorities.

Wearable medical devices (WMDs) are improving people’s health and well-being in a noble way, as these aid in effective personal health monitoring, remote surveillance and overall illness management. Despite its wider applicability and usage, it is prevalent that users discontinue its usage, which presents an obstacle in the proliferation of such vital innovations among the masses. Therefore, relying on the expectation-confirmation model (ECM), this study aims to delve deeper to explain the factors that motivate users to continually use WMDs by incorporating novel variables, namely, health belief, health information accuracy and privacy protection.

The study proposes and tests an extended ECM perspective to predict the continuance intention (CI) of WMDs among users. By using structural equation modelling using SmartPLS, the authors tested the model on Indian people (n = 451) who had an erstwhile experience of using WMDs.

The study results show that confirmation of users’ expectations positively impacts their usefulness and satisfaction towards WMDs. Moreover, satisfaction towards WMDs is the strongest predictor of users’ CI, followed by perceived usefulness. Interestingly, personal factor such as health beliefs reveals a greater influence on perceived usefulness than technological factors like health information accuracy and privacy protection.

The study findings demonstrate the significance of using the expectation-confirmation perspective in technology-based studies in general and WMDs, in particular. This study aids by offering an integrated model of WMD’s continued usage intention for the users, in addition to practical implications for marketers and policymakers.

A paucity of research exists when understanding the predictors of CI for WMDs. This study fills this gap and adds to behavioural literature by offering a noble viewpoint involving an extended ECM perspective.

This paper aims to explore the impact of emerging technologies, such as virtual reality, voice search, artificial intelligence, robotics and the Metaverse on hotel sales, marketing and revenue optimization.

This paper uses a combination of articles published in Journal of Hospitality and Tourism Technology and industry case studies to examine the integration of innovative technologies in hotel sales, marketing and revenue optimization strategies, plus the role of fundamental practices in ensuring long-term success.

The analysis demonstrates that innovative technologies can significantly enhance customer engagement, streamline booking processes and unlock new revenue streams. However, this paper also highlights the importance of fundamental marketing practices, such as user-friendly websites, fast and reliable/mobile-friendly websites, search engine optimization, social media engagement, content marketing and data-driven revenue management, in maintaining a hotel’s competitive advantage in the dynamic world of hospitality.

The findings suggest that hoteliers need to strike a balance between embracing emerging technologies and maintaining traditional marketing fundamentals to remain competitive and drive revenue growth. This integrated approach ensures long-term success in the ever-evolving hospitality landscape.

This paper bridges the gap between academia and industry practitioners by providing practical insights and implications that can be applied directly to hotels’ marketing and operational practices. The paper highlights the importance of balancing innovation with fundamental marketing strategies, emphasizing the need for an integrated approach to ensure long-term success in the ever-evolving world of hotel sales, marketing and revenue optimization – as well as those same tools in a plethora of hospitality and tourism venues working alongside the accommodations sector.

探讨新兴技术（如虚拟现实、语音搜索、人工智能、机器人技术和元宇宙）对酒店销售、营销和收入优化的影响。

本文结合发表在《酒店旅游科技杂志》（JHTT）的文章和行业案例, 研究了创新技术在酒店销售、营销和收入优化策略中的整合, 以及基础实践在确保长期成功方面的作用。

分析表明, 创新技术可以显著增强客户参与度, 简化预订流程, 并开拓新的收入来源。此外, 文章强调了基本营销实践, 如用户友好的网站、快速可靠/移动友好的网站、搜索引擎优化、社交媒体参与、内容营销和数据驱动的收入管理, 在保证酒店在充满变化的行业竞争中维持优势的重要性。

研究结果表明, 酒店经营者需要在使用新兴技术和保持传统营销基本原则之间取得平衡, 以保持竞争力并推动收入增长。这种综合方法确保在不断发展的酒店销售、营销和收入优化领域取得长期成功。

本文通过提供可直接应用于酒店营销和运营实践的实际见解和影响, 弥合了学术界与行业从业者之间的鸿沟。文章强调了创新与基本营销策略的平衡的重要性, 强调了综合方法的必要性, 以确保在不断发展的酒店销售、营销和收入优化领域取得长期成功, 以及这些工具在众多酒店和旅游场所与住宿部门一起工作的多样性领域中的应用。

The impact of the COVID-19 pandemic provides the scope to conduct online classes in the university teaching methods. This study aims to investigate the impact of technology self-efficacy on students' behavioral intention on the effectiveness of online learning.

This study was conducted with 323 university students using the online survey platform. Data analysis was acquired by implementing the partial least squares technique to obtain the results.

The findings revealed that the COVID-19 pandemic affects technology self-efficacy. Technology self-efficacy has a significance on perceived usefulness (PU) and ease of use, which influences students' behavioral intention to use online learning effectively. The results identified that user innovativeness facilitated the relationship between PU and behavioral intention to use online learning efficiency.

This study has a significant insight into the higher educational institutes and academia that lessons from the impact of the COVID-19 pandemic on technology self-efficacy toward online learning effectiveness.

In the reduction of food waste and the provision of food to the hungry, food banks play critical roles. However, as they are generally run by charitable organisations that are chronically short of human and other resources, their inbound logistics efforts commonly experience difficulties in two key areas: 1) how to organise stocks of donated food, and 2) how to assess the donated items quality and fitness for purpose. To address both these problems, the authors aimed to develop a novel artificial intelligence (AI)-based approach to food quality and warehousing management in food banks.

For diagnosing the quality of donated food items, the authors designed a convolutional neural network (CNN); and to ascertain how best to arrange such items within food banks' available space, reinforcement learning was used.

Testing of the proposed innovative CNN demonstrated its ability to provide consistent, accurate assessments of the quality of five species of donated fruit. The reinforcement-learning approach, as well as being capable of devising effective storage schemes for donated food, required fewer computational resources that some other approaches that have been proposed.

Viewed through the lens of expectation-confirmation theory, which the authors found useful as a framework for research of this kind, the proposed AI-based inbound-logistics techniques exceeded normal expectations and achieved positive disconfirmation.

As well as enabling machines to learn how inbound logistics are handed by human operators, this pioneering study showed that such machines could achieve excellent performance: i.e., that the consistency provided by AI operations could in future dramatically enhance such logistics' quality, in the specific case of food banks.

This paper’s AI-based inbound-logistics approach differs considerably from others, and was found able to effectively manage both food-quality assessments and food-storage decisions more rapidly than its counterparts.

Grounded in social cognitive career theory (SCCT), this study aims to examine the influence of contextual factors on the relationship between career satisfaction and organizational commitment, within the banking sector in Kuwait.

This study used a cross-sectional design analyzing a self-report questionnaire (N = 278).

This study investigates affective, normative and continuance commitment in relation to career satisfaction, within the banking sector in Kuwait. Findings indicate a positive relationship between career satisfaction and all of affective, normative and continuance commitment; although the relationship that appears to be the strongest is between career satisfaction and normative commitment.

The single site, cross-sectional approach is a limitation. The data were collected before the COVID-19 pandemic. Future research into career satisfaction and organizational commitment in different sectors is necessary and a replication of this study in a post-COVID context would also be valuable.

Human resource development (HRD) policies in contexts such as Kuwait should prioritize career progression initiatives to enhance career satisfaction and contribute to increased organizational commitment. More attention is necessary to organizational HRD career planning and development policies and processes. Effective line manager development programs to equip managers to provide feedback and constructive performance management are recommended, as is the organizational provision of career counseling and guidance to support career development policies and processes.

This study combines the use of established constructs with an SCCT theoretical lends to contribute new theorization of the relationship between career satisfaction and organizational commitment in non-Western cultural contexts. It challenges assumptions in current theorization of the relationship between career satisfaction and commitment that privilege affective commitment over other dimensions.