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Developing green innovative services is critical to the restaurant industry to achieve significant benefits as well as environmental sustainability. This study aims to explore the mechanisms through which employees’ green involvement can foster green service innovation behavior.

The data set garnered from employees who worked in restaurants was used to test these mechanisms. A partial least square technique was conducted on this data set.

The results revealed the employees’ green involvement significantly influences their green service innovation intention, which subsequently influences their green service innovation behavior. Furthermore, information technology (IT) adoption was found to fortify the linkage of employee green involvement with green service innovation intention.

The results suggest to the restaurant industry that awareness of green service innovation and IT adoption practices can help restaurants to develop effective sustainability work practices and meet societal expectations.

This study extends the restaurant management literature by linking the green involvement of restaurant employees to green service innovation intention as well as identifying the moderating role of IT adoption underlying this link.

Understanding the role of corporate strategies in sustainability has become a hot topic for scholarly research. Meanwhile, firms strive to innovate and shape their positive image in the contemporary business arena. Past research has ignored investigating whether and how sustainability-oriented corporate strategies could drive innovation and firm image among external stakeholders. To address the said research gap, this paper examines the path through which sustainability-oriented corporate strategy and environmental regulation improve green corporate image and green innovation capabilities (i.e. green process and product innovation).

This study adopted a quantitative survey-based method. The online survey was adopted to collect data from employees working at the managerial level in the equipment manufacturing sector. The data collected from 343 managers that was complete in all aspects was used for empirical analysis using structural equation modeling. Direct and indirect relations were evaluated.

The findings reveal that sustainability-oriented corporate strategy and environmental regulation drive green innovation and green corporate image. Findings further show that external knowledge adoption underpins these effects of sustainability-oriented corporate strategy and environmental regulation.

The study delivers theoretical and practical understandings of the importance of sustainability-oriented corporate strategies to green corporate image and green innovation capabilities.

This study aims to analyze the determinants influencing Chinese manufacturing companies in implementing lean manufacturing (LM).

The determinants to be explored in this study consist of technological, organizational and environmental (TOE) dimensions. A questionnaire survey was conducted on Chinese manufacturing companies, and 208 samples were analyzed.

The findings show that the relative advantage of LM and organizational support have significantly positive effects on Chinese manufacturing firms’ adoption of LM. The complexity of LM, quality of human resources, organizational readiness, customer pressure, international situation, governmental support and environmental uncertainty do not have significant effects.

This paper contributes to the literature by using the TOE model to explore the factors influencing LM adoption in the Chinese manufacturing industry.

The primary objective of this study is to explore consumers' non-adoption intentions towards meta-commerce (or metaverse retailing). Utilizing the Innovation Resistance Theory (IRT) as the theoretical foundation, this study investigates the impact of diverse barriers on non-adoption intentions within the meta-commerce context.

A total of 356 responses were gathered to test the proposed hypotheses. Structural Equation Modelling (SEM) with SmartPLS 4 software was used to examine these hypotheses.

The findings of this study show that perceived cyber risk, perceived regulatory uncertainty, perceived switching cost and perceived technical uncertainty are significantly linked to non-adoption intention towards meta-commerce. Furthermore, the study suggests that the moderating influence of technostress on these connections is more pronounced for consumers with high technostress compared to those with low technostress.

This study makes a significant contribution to the current body of literature by providing valuable insights into the fundamental barriers that consumers encounter when contemplating the adoption of meta-commerce. This contribution is particularly noteworthy as it fills a gap in the existing literature, as no prior study has comprehensively examined the primary obstacles that shape consumer intentions towards meta-commerce adoption. This novel perspective offers scholars, businesses and policymakers a foundation for developing strategies to address these barriers effectively.

High-quality nursing home (NH) care has long been a challenge within the United States. For decades, policymakers at the state and federal levels have adopted and implemented regulations to target critical components of NH care outcomes. Simultaneously, our delivery system continues to change the role of NHs in patient care. For example, more acute patients are cared for in NHs, and the Center for Medicare and Medicaid Services (CMS) has implemented value payment programs targeting NH settings. As a part of these growing pressures from the broader healthcare delivery system, the culture-change movement has emerged among NHs over the past two decades, prompting NHs to embody more person-centered care as well as promote settings which resemble someone's home, as opposed to institutionalized healthcare settings.

Researchers have linked culture change to high-quality outcomes and the ability to adapt and respond to the ever-changing pressures brought on by changes in our regulatory and delivery system. Making enduring culture change within organizations has long been a challenge and focus in NHs. Despite research suggesting that culture-change initiatives that promote greater resident-centered care are associated with several desirable patient outcomes, their adoption and implementation by NHs are resource intensive, and research has shown that NHs with high percentages of low-income residents are especially challenged to adopt these initiatives.

This chapter takes a novel approach to examine factors that impact the adoption of culture-change initiatives by assessing knowledge management and the role of knowledge management activities in promoting the adoption of innovative care delivery models among under-resourced NHs throughout the United States. Using primary data from a survey of NH administrators, we conducted logistic regression models to assess the relationship between knowledge management and the adoption of a culture-change initiative as well as whether these relationships were moderated by leadership and staffing stability. Our study found that NHs were more likely to adopt a culture-change initiative when they had more robust knowledge management activities. Moreover, knowledge management activities were particularly effective at promoting adoption in NHs that struggle with leadership and nursing staff instability. Our findings support the notion that knowledge management activities can help NHs acquire and mobilize informational resources to support the adoption of care delivery innovations, thus highlighting opportunities to more effectively target efforts to stimulate the adoption and spread of these initiatives.

Since its inception, virtual reality (VR) technologies have been widely applied in the tourism industry, given their competitive advantages in offering users a novel experience that makes an artificial environment or scene feel like the real world. As a result, VR has been reported as a highly sought-after technology, as it can offer a new way to engage tourists and enhance their travel experience. However, the adoption of VR by senior tourists (who are one of the potential groups of tourists) is still relatively low in the tourism context. Against this backdrop, this study aims to respond to the deficiency in the literature by examining the impact of barriers that contribute to senior tourists’ resistance and scepticism towards VR in tourism.

Using a cross-sectional approach, the data for this study was collected from 600 eligible senior tourists through survey questionnaires. To obtain valid and reliable responses, a purposive sampling technique with screening criteria was undertaken in this study. Upon data cleaning, the data analysis was performed on 546 samples using statistical software packages such as SPSS and the AMOS covariance-based structural equation modelling technique.

Grounded on the innovation resistance theory, the outcome of this study put forward the significance of technical and psychological barriers in explaining senior tourists’ resistance and scepticism towards the use of VR in tourism. In particular, perceived risk, perceived incompatibility, technology anxiety, inertia and a lack of human interaction were found to be associated with senior tourists’ scepticism and resistance towards VR usage in tourism. However, perceived complexity was not found to have a significant relationship with resistance. Moreover, both scepticism and resistance were reported to influence non-adoption intentions on VR.

This study is one of the few studies that examined the less explored territory of the tourism literature concerning the non-adoption of contemporary innovation (i.e. VR technology) for virtual tourism purposes. Moreover, this study also focuses on the perspective of senior tourists, which represents a promising market segment in the tourism sector. This study successfully contributed to the existing literature by offering empirical insights and highlighting the barriers that lead to users’ scepticism and resistance towards using VR for tourism, which could directly influence their non-adoption intention and the success of virtual tourism.

自问世以来, 虚拟现实 (VR) 技术已在旅游业中得到广泛应用因为它在为用户提供新颖体验方面具有竞争优势, 使人工环境或场景感觉像真实世界。由于VR可以提供一种新的方式来吸引游客并提升他们的旅行体验, 它被视为一项备受追捧的科技。然而, 在旅游背景下, 老年游客（潜在游客群体之一）对 VR 的采用率仍然较低。在此背景下, 本研究旨在通过探究导致老年游客对VR旅游应用产生抵制和怀疑的原因来回应文献中的不足。

基于横断面方法, 本研究通过调查问卷从600名符合条件的老年游客中收集了数据。为了获得有效和可靠的答复, 本研究采用了具有筛选标准的目的抽样技术。数据清理后, 本研究使用SPSS等统计软件包和基于AMOS协方差的结构方程建模技术对546个样本进行了数据分析。

基于创新阻力理论, 本研究结果提出了技术和心理障碍在解释老年游客对VR旅游应用抵制和怀疑的重要性。具体而言, 感知风险、感知不相容性、技术焦虑、惰性和缺乏人际互动被发现与老年游客对VR旅游应用抵制和怀疑有关。然而, 本研究并未发现感知复杂性与VR旅游应用抵制有显着关系。此外, 怀疑和抵制都会影响 VR 的不采用意图。

此研究是为数不多探索了旅游文献中关于未将当代创新（即VR技术）用于旅游目的研究。此外, 这项研究侧重于老年游客（作为旅游业中一个有前景的细分市场）的视角。本研究成功地为现有文献做出了贡献, 提供了实证见解, 并强调了导致用户怀疑和抵制将VR用于旅游的障碍。这些障碍可以直接影响用户的不采用意图和虚拟旅游的成功。

Desde sus inicios, las tecnologías de realidad virtual (RV) se han aplicado ampliamente en el sector turístico, dadas sus ventajas competitivas al ofrecer a los usuarios una experiencia novedosa que hace que un entorno o escena artificial parezca el mundo real. Como resultado, la RV se ha considerado una tecnología muy solicitada, ya que puede ofrecer una nueva forma de involucrar a los turistas y mejorar su experiencia de viaje. Sin embargo, la adopción de la RV por parte de los turistas senior (que son uno de los grupos potenciales de turistas) aún es relativamente baja en el contexto del turismo. El presente estudio se propuso responder a este déficit en la literatura examinando el impacto de las barreras que contribuyen a la resistencia y el escepticismo de los turistas mayores hacia la RV en el turismo.

Utilizando un enfoque transversal, los datos para este estudio se recopilaron de 600 turistas de la tercera edad elegibles a través de una encuesta mediante cuestionario. Para obtener respuestas válidas y fiables, se llevó a cabo una técnica de muestreo intencional con criterios de selección. Una vez depurados los datos y eliminados los sujetos no válidos, se procedió a su análisis en una muestra de 546 individuos utilizando paquetes de software estadístico como SPSS y la técnica de modelado de ecuaciones estructurales basada en la covarianza AMOS.

En el marco de la teoría de la resistencia a la innovación, los resultados del estudio ponen de manifiesto la importancia de las barreras técnicas y psicológicas para explicar la resistencia y el escepticismo de los turistas de la tercera edad hacia el uso de la RV en el turismo. En concreto, el riesgo percibido, la incompatibilidad percibida, la ansiedad tecnológica, la inercia y la falta de interacción humana se asociaron con el escepticismo y la resistencia de los turistas mayores hacia el uso de la RV en el turismo. Sin embargo, no se encontró ninguna relación significativa entre la complejidad percibida y la resistencia. Además, tanto el escepticismo como la resistencia influyen en las intenciones de no adoptar la RV.

Este estudio es uno de los pocos que examinan el territorio menos explorado de la literatura turística en relación con la no adopción de la innovación contemporánea (es decir, la tecnología de RV) para fines de turismo virtual. Además, esta investigación también se centra en la perspectiva de los turistas senior, que representan un segmento de mercado prometedor en el sector turístico. El presente estudio contribuye con éxito a la literatura existente al ofrecer una perspectiva empírica y poner de relieve las barreras u obstáculos que provocan el escepticismo y la resistencia de los usuarios hacia el uso de la RV con fines turísticos, lo que podría influir directamente en su intención de no adopción y en el éxito del turismo virtual.

This study aims to investigate the factors influencing the adoption intention of artificial intelligence (AI) by micro, small and medium enterprises (MSMEs) in Jordan.

The study adopts the technology–organization–environment (TOE) model. It examines the moderating effects of innovation culture, employee digital skill level and market competition on the relationships between the independent and dependent variables. A survey was utilized to collect data from 537 MSME owners or managers in Jordan and employed partial least squares structural equation modeling to test the hypotheses.

The results of the study support seven out of eight hypotheses. Business innovativeness, management support, perceived benefits and technological infrastructure have positive and significant effects on AI adoption intention, while perceived costs have no significant effect. However, the innovation culture, employee digital skill level and market competition were found to moderate the relationships between some of the independent variables and dependent variables.

The study provides valuable insights and recommendations for MSME owners, managers, employees, policymakers, educators and researchers interested in promoting and facilitating AI adoption by MSMEs in Jordan.

The current attempt extends the TOE framework by adding significant constructs representing the three contexts. Moreover, it is one of the few studies that analyzed the factors influencing the adoption intention of AI by MSMEs in Jordan, which are significant to the Jordanian economy and represent 99.5% of enterprises.

Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.

This paper aims to explore how open innovation communities contribute to the adoption of building information modelling (BIM) in the construction industry.

The paper presents a cross-case analysis of two construction communities, buildingSMART Norway and the BIM Vietnam Community. Data were collected based on 21 semi-structured interviews conducted with industry experts actively engaged in these two communities. The theoretical basis for the study was open innovation and the institutional intervention model, which delineates institutional actions related to the adoption of new information technology.

The findings show both similarities and differences in the way in which the communities contribute to industrial practice. Both communities use similar knowledge channels and repositories but apply different approaches to innovation creation and diffusion. In addition, trust can support BIM innovation in the community context.

The comparison of buildingSMART Norway and the BIM Vietnam Community in accelerating BIM innovation allows for exploring how open innovation communities support BIM adoption in the construction industry. The findings provide insights for construction communities into creating and diffusing BIM innovation. In addition, the examples of gaining benefits from community innovation activities are useful for construction firms and practitioners.

This paper aims to examine the interrelation between two innovating strategies (product and process) on total factor productivity (TFP) growth and the dynamic linkages between these strategies, for Colombia. The authors first explore whether ex ante more productive firms are those that introduce innovations (the self-selection hypothesis) and if the introduction of innovations boosts TFP growth (the returns-to-innovation hypothesis). Second, the authors study the firm’s joint dynamic decision to implement process and/or product innovations. The authors use Colombian manufacturing data from the Annual Manufacturing and the Technological Development and Innovation Surveys.

This study uses a four-stage procedure. First, the authors estimate TFP using a modified version of Olley and Pakes (1996) and Levinsohn and Petrin (2003), proposed by De Loecker (2010), that implements an endogenous Markov process where past firm innovations are endogenized. This TFP would be estimated by GMM, Wooldridge (2009). Second, the authors use multivariate discrete choice models to test the self-selection hypothesis. Third, the authors explore, using multi-value treatment evaluation techniques, the life span of the impact of innovations on productivity growth (returns to innovation hypothesis). Fourth, the authors analyse the joint likelihood of implementing process and product innovations using dynamic panel data bivariate probit models.

The investigation reveals that the self-selection effect is notably more pronounced in the adoption of process innovations only, as opposed to the adoption of product innovations only or the simultaneous adoption of both process and product innovations. Moreover, our results uncover distinct temporal patterns concerning innovation returns. Specifically, process innovations yield immediate benefits, whereas implementing both product innovations only and jointly process and product innovations exhibit significant, albeit delayed, advantages. Finally, the analysis confirms the existence of dynamic interconnections between the adoption of process and product innovations.

The contribution of this work to the literature is manifold. First, the authors thoroughly investigate the relationship between the implementation of process and product innovations and productivity for Colombian manufacturing explicitly recognising that firms’ decisions of adopting product and process innovations are very likely interrelated. Therefore, the authors start exploring the self-selection and the returns to innovation hypotheses accounting for the fact that firms might implement process innovations only, product innovations only and both process and product innovations. In the analysis of the returns of innovation, the fact that firms may choose among a menu of three innovation strategies implies the use of evaluation methods for multi-value treatments. Second, the authors study the dynamic inter-linkages between the decisions to implement process and/or product innovations, that remains under studied, at least for emerging economies. Third, the estimation of TFP is performed using an endogenous Markov process, where past firms’ innovations are endogenized.