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By considering the challenges of Industry 5.0, the purpose of this study is to analyze the role of heuristic factors in the technical qualities and emotions of Millennials and Generation Z (Gen Z) to assess their acceptance of the use of artificial intelligence (AI) devices such as robots. For this purpose, this paper uses the innovative AI device use acceptance (AIDUA) framework. This research evaluates the implications of human–machine interactions for the usage of robots and AI in daily life.

The proposed AIDUA model is tested using data collected from Millennials and Gen Z. First, a principal components analysis technique is used to validate each measure. Second, a multiple regression analysis using IBM SPSS 26.0 is conducted.

The results of this study suggest that human–machine interaction is a part of a complex process in which there are different elements determining individuals’ acceptance of the use of AI devices during daily life. This paper outlines both the theoretical and practical implications. This study enriches the AIDUA model by connoting it with features and emotions belonging to the younger generation. Additionally, this research offers technology companies suggestions for addressing future efforts on technical performance and on the alignments of the expectations of young people in Society 5.0.

First, the originality of this paper lies in highlighting the binary role of emotions in triggering the use of AI devices and robots. Second, the focus on Millennials and Gen Z offers a new lens for the interpretation of longitudinal phenomena in the adoption of AI. Finally, the findings of this paper contribute to the development of a new perspective regarding a “heartly collaborative” approach in Society 5.0.

As the restaurant industry is a representative service industry, long-living restaurants could carry the secrets of key factors that are needed to establish “sustainable business models” in service industry. The authors aim to answer the following question: How can restaurants innovate business model sustainably to last for more than 50 years through the era of digital transformation with open innovation dynamics?

Five long-lived restaurants from Daegu, Kyoto and Naples were selected separately by using the snowballing approach, and were analyzed through in-depth interviews and participatory observations.

Restaurants in Daegu have lived long mainly because of adding value to their recipes. Restaurants in Kyoto have lived very long, primarily by decoupling their original services, ingredients and recipes. Restaurants in Naples have enjoyed long lives by coupling or recoupling their ingredients, services and recipes.

The implication is that long-living restaurants or service firms could maintain their own sustainability by dynamically circling the following services: (1) adding and boning recipes (focusing on special menus or products), (2) coupling of ingredients (creative recoupling of original ingredients) and (3) decoupling of services (disconnecting the value chain and rebalancing it).

This study aims to analyzed the development of open innovation research knowledge and its application in the tourism sector during the past 17 years, with the aim of understanding the scientific activity and impact of existing research. In addition, this research identifies trending thematic lines and provides recommendations for future research on this topic.

A bibliometric analysis was carried out from the Scopus database, in which 110 studies related to open innovation in tourism were identified. The analysis of the papers was done with the Bibliometrix and Vosviewer tools.

The results show that there is a recent and growing interest among academics, especially since 2017. Moreover, four main lines of work were identified: overtourism and sustainability, value cocreation, open innovation and competitive advantage and its impact on organizations belonging to the hotel sector and the relationship between external knowledge and internal sources in innovation management and open innovation performance.

The relationship with other stakeholders involved in the customer experience value creation in the tourism sector depends to a large extent on the joint offer that hotels, restaurants, tour operators and tourist offices, can provide in a tourist destination. Therefore, having external sources to innovate from will improve their innovative and organizational performance. However, there are no bibliometric analyses on the application of the open innovation paradigm in this sector. Thus, this research contributes to fill this gap, as well as to identify the most recurrent themes that show how open innovation is developing in tourism, providing academics and researchers with guidelines for future research.

The paper analyzes the impact of bank opacity on financial stability in an emerging economy.

Based on a unique dataset of 31 Vietnamese commercial banks from 2007 to 2019, the paper captures earnings opacity via discretionary loan loss provisions and reflects individual bank stability through the accounting-based Z-score index and its disaggregate components. The least squares dummy variable corrected (LSDVC) approach is employed for empirical analysis.

In contradiction to most studies on developed economies, earnings management improves bank financial stability in Vietnam. Earnings management is more important for the financial stability of smaller banks. Further, the effect of financial information disclosure on bank stability is strengthened by unfavorable macroeconomic conditions, particularly economic downturns, the global financial crisis and uncertain times in banking.

This is the first study to shed light on how bank opacity influences bank financial stability in an emerging market. The evidence with the conditioning roles of bank size and macroeconomic factors, such as uncertainty in banking, is entirely novel in the related literature. Additionally, the paper contributes to a growing body of banking literature by using the LSDVC estimator to examine the association between bank opacity and bank stability.

This study delves into the impact of mindfulness on the retention intention of technology employees, with a particular focus on the mediating variables of affective commitment (AC) and organizational identification (OI). The primary aim is to gain a comprehensive understanding of the underlying mechanisms through which mindfulness influences the retention intention of technology employees.

The research employed a survey approach with self-administered questionnaires and structural equation modeling. The collected data were analyzed using Statistical Product and Service Solutions (SPSS) 24 and Analysis of Moment Structure (AMOS) 28. Multiple mediation analyses was conducted through AMOS to examine the mediating effects of OI and AC.

The association between mindfulness and retention intention among technology employees showed an overall positive correlation. Additionally, AC and OI were positively correlated with retention intention. In the impact of employee mindfulness (EM) on retention intention, all indirect effects were found to be significant.

To the best of the authors' knowledge, this study is the first to investigate the relationship between EM and retention intention, as well as the associations of AC and OI with them, extending the application of mindfulness in management and offering insights for talent retention among company decision-makers.

Informed by the resource-based view of the firm, dynamic capabilities theory and contingency theory, this study examines the impact of Industry 4.0 (IR4.0) technologies adoption on firm performance (FP) while accounting for the mediating role of innovation ambidexterity (IA) and moderating roles of contextual and methodological factors that drive the performance gains of the phenomenon.

A random-effect model in comprehensive meta-analysis (CMA) is used to synthesize 113 studies in 115 independent samples with 192,188 observations.

This analysis demonstrates that IR4.0 digital technologies are directly related to financial and non-financial performance, disclosing that the performance effect on non-financial is the largest. Moreover, there is a complementary partial mediation role of the impacts of IR4.0 on FP by IA. Furthermore, this focal relationship is moderated by boundary-spanning conditions: contextual factors – firm size, business type, economic development, industry sector and methodological factors – proxy of FP, sample size and study type.

The results imply that IR4.0 produces financial and non-financial benefits by enabling firms to develop dynamic capabilities like innovation ambidexterity, which informs managers and practitioners that unless IR4.0 technologies and IA strategies are combined together to generate superior FP, IR4.0, in and of itself, would produce a less positive impact on FP than the combined impact of IR4.0 and IA. Therefore, managers should focus on converting IR4.0 resources to dynamic capabilities like IA by leveraging open innovation strategies or building IR4.0-based coordination mechanisms by creating cross-unit business synergies.

To the best of the authors' knowledge, per the literature review, this is the first meta-analysis structural equation modeling study on the interplay between IR4.0, innovation ambidexterity and firm performance.

This study aims to survey the existing body of knowledge about digital innovation within museums. Academic and practitioner interest in digital innovation has been piqued as technological advances that enable the rapid personalisation of information to cater towards increasingly sophisticated end-user expectations. Yet, the literature on digital innovation in the museum environment appears fragmented and lacks theoretical grounding.

Drawing on a systematic scoping review of 199 articles published during 2010–2021, this paper provides an initial indication of the size and scope of current research literature on digital innovation of museums.

This literature review elucidates the status quo and future directions of digital innovation in museum space. An integral conceptual framework is proposed to provide a comprehensive lens to steer future research and practice in this area in a theoretically grounded and systemic manner.

This study mixes both quantitative and qualitative analyses of the literature to produce an up-to-date understanding of extant research by illuminating inspiring processes, foregrounding commonly encountered challenges, framing theoretical and practical implications and proposing avenues for future research.

本文旨在考察有关博物馆数字创新的既有知识。当前学界与业界对于数字创新均抱有浓厚的兴趣, 因为技术进步使信息能够快速个性化, 以满足日益复杂的终端用户需求。然而, 关于博物馆数字创新的文献显得零散且缺乏理论基础。

基于对2010至2021年期间发表的199篇文章的系统性范围性综述, 本文初步描绘了有关博物馆数字创新的既有文献的规模和研究范围。

本文献综述阐明了博物馆数字创新的现状和未来方向, 提出了一个整合的概念框架, 从而期望以一个全面的视角引导该领域今后开展基于理论和系统化的研究与实践。

本研究综合了文献的定量和定性分析, 以呈现对既有研究的最新理解：包括阐明激发过程, 突出常见挑战, 框定理论和实践影响, 并提出未来研究的途径。

Este estudio tiene como objetivo examinar el conocimiento existente acerca de la innovación digital en los museos. El interés del mundo académico y de los profesionales por la innovación digital se ha visto avivado por los avances tecnológicos que permiten una rápida personalización de la información para satisfacer las expectativas cada vez más sofisticadas de los usuarios finales. Sin embargo, la bibliografía sobre la innovación digital en el entorno museístico parece fragmentada y carece de base teórica.

A partir de una revisión sistemática del alcance de 199 artículos publicados entre 2010 y 2021, este documento proporciona una indicación inicial del tamaño y el alcance de la literatura de investigación actual sobre la innovación digital de los museos.

Esta revisión bibliográfica dilucida el statu quo y las direcciones futuras de la innovación digital en el espacio museístico. Se propone un marco conceptual integral que proporcione una lente comprensiva para dirigir la investigación y la práctica futuras en este ámbito de una manera teóricamente fundamentada y sistémica.

Este estudio mezcla análisis cuantitativos y cualitativos de la bibliografía para producir una comprensión actualizada de la investigación existente iluminando los procesos inspiradores, poniendo en primer plano los retos comúnmente encontrados, enmarcando las implicaciones teóricas y prácticas y proponiendo vías para futuras investigaciones.

Digital platforms for the provision of food information-based services (FISs) represent a consolidated business with increasing revenue streams for entrepreneurs. Such platforms have transformed and clarified the nature of uncertainty and ambiguity inherent in the traditional food sector entrepreneurial processes. Anyway, a clear understanding of the value of digital platforms for FISs is not yet consolidated in the literature. With this paper, the authors try to fill this gap through a critical literature review of scientific research that combines knowledge on food consumer's behavior and user's knowledge behavior.

The authors carried out a critical literature review of scientific research combining knowledge of food consumer's and food information user's behavior. This allowed the identification of the main value components of FISs.

The authors propose a multidimensional framework for modelling the value proposition of digital platforms for FISs. Three main value dimensions have been identified: relevance, credibility, and accessibility. These dimensions concur with the consumer's perceived value of consumers in terms of benefits increase and cost reduction.

The research was intended to shed light on aspects characterizing consumers' perception of food information value. The authors put in evidence that the informational perspective of food communication is under-investigated. This study attempts to provide a holistic overview of the dimensions impacting on consumers' perception of the value of information for food consumers, opening new research perspectives.

The framework represents a tool for positioning food information offerings on the market, with the objective to analyze the value proposition of FISs according to a consumer perspective and to understand gaps of current offering of FISs. Moreover, it may support the design of a new generation of digital platform for food information provision, which would respond to consumers' expectations and information needs, highlighting emerging business opportunities for digital entrepreneurs.

Few research works provide a characterization of value proposition of digital platforms providing food information to consumers. In particular, to date, literature lacks of a holistic overview of the dimensions influencing consumer's perception of the information value of food communications.

This paper aims to measure and unveil the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports.

The authors utilize a two-stage network DEA (data envelopment analysis) and AHP (analytic hierarchy process) model as the cornerstones of the study. The first stage of the network productive structure focuses on examining the infrastructure efficiency of the selected airports, while the second stage assesses their business efficiency.

Although the results indicate that infrastructure and business efficiency levels are heterogeneous and widely dispersed across airports, controlling the regression results with different contextual variables suggests that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic (endogenous) and regulatory (exogenous) variables. Furthermore, encouraging investment in airports is necessary to achieve higher infrastructural efficiency and scale efficiency, thereby improving customer satisfaction.

There is a scarcity of studies examining the relationships among customer satisfaction, privatization and airport efficiency, particularly in developing countries like Brazil.

This paper aims to assess the determinants of food certificate adoption and analyse the impacts of food certificates on e-commerce income among small online agri-food sellers in Indonesia.

The authors used data from an online survey of 228 small-online agri-food sellers in East Java, Indonesia. This study aims to focus on two food certificates: a mandatory Halal (Islamic dietary law) certificate and the P-IRT certificate, a food safety certificate for home-based businesses. A maximum simulated likelihood (MSL) estimator was employed to account for selection bias and endogeneity.

The study highlights the continued importance of certification in agri-food markets, including e-commerce and the need to consider the degree of substitutability and resource allocation between multiple food certificates. It finds that online agri-food sellers adopting the Halal certificate earn two to three times higher compared to non-adopters. Conversely, the gross income per month from e-commerce sales is 78% lower among those adopting the P-IRT certificate. Moreover, access to regulatory information sources motivates the likelihood of adopting food certificates. In contrast, the business size, marketing channels, contractual relationship and management capabilities are insignificant factors for the adoption of any of the Halal and P-IRT certificate combinations.

Results from this research might be specific to the context of the focus study area, thereby reducing their generalisability. In addition to gathering representative samples, future research should also capture more complex dimensions of food certificates. These include the cost of acquiring food certificates, online sellers' perceptions of food certificate adoption, and emerging topics such as group certification and the use of technology.

To the authors' knowledge, this research is one of the first studies investigating the adoption of food certificates within the e-commerce setting. This study also contributes to the small number of studies looking at multiple certificate adoption and food certificate issues from the retailers' perspectives