Search results

The purpose of this study is to explore from a place attachment (PA) theory perspective the extent to which and how, a fully immersive virtual reality (VR) experience enhances tourists’ attachment level on-site at a rural destination.

This study applied an exploratory mixed method approach. Respondents were tourists visiting the Lake District National Park who were asked to try a VR experience. In Study 1, interviews were conducted to explore new themes and to develop an enhanced PA framework in VR. Study 1 confirmed existing variables from the literature and highlighted new variables (themes) to be included in the new framework on how PA is formed. In Study 2, surveys were conducted, and the proposed framework analyzed using structural equation modelling (PLS-SEM). To fully understand how VR had an impact on enhancing PA, the moderating effect of tourists’ pre-existing PA was considered.

The findings revealed “Accessibility”, “Memories” and “Increased Place Knowledge” as new themes (variables) and confirmed that these and established variables “Aesthetics” and “Presence” enhance PA, leading to increased loyalty. Significant moderating effects of existing PA were found.

VR serves as a complementary and substitutional tool for tourism. Tailored VR experiences for diverse tourist needs may enhance destination marketing and competitiveness. For tourists with low PA, destinations should focus on promoting activities and highlights to enhance engagement and the experiential understanding of the destination. For tourists with high PA, VR experiences should focus on providing a comprehensive view of the destination and unveiling new places. In both cases, the VR experience leads to deeper engagement with the destination and an increase in PA.

Research on the impact of VR on tourists’ PA is limited. To address this gap, this study’s theoretical contribution lies in developing and testing a PA framework within a VR and tourism context. This also includes the validation of new measurement items developed in relation to the new themes.

The new concept of corporate social innovation (CSI) has witnessed a steady growth in the business and management academic world over the past 20 years. Yet its adoption by corporations has been notably slow. This paper aims to operationalize the concept and develop a research agenda for CSI.

A systematic review of the current literature in the recent past (1999–2020) has been embraced in this research. The review is based on 40 articles and offers a descriptive and a thematic analysis of the literature.

The authors demonstrate the development of the concept over time and identify 12 themes to assist in the institutionalization of CSI.

To the best of the authors’ knowledge, this study is the first to provide an enhanced overview of the current state of CSI. The paper shows how a variety of different definitions of corporate social innovation have been used in the business and management literature. The findings provide a unique conceptual framework and a detailed research agenda for scholars seeking to examine CSI.

Previous studies investigating the effects of using social media in the innovation processes of small and medium-sized enterprises (SMEs) yield mixed results, and the conditions for achieving innovation benefits from social media are unclear. The present study seeks to contribute to the understanding of this topic.

With a basis in the literature on open innovation and SMEs, this study develops a model that explains the role of social media in product innovation processes where technological focus and abilities are converted into product innovations. The model is tested through a survey of 305 Danish manufacturing SMEs.

Findings show that SMEs with higher technological orientation (TO) are more inclined to use social media in their product innovation processes and that social media use explains 22.4 percent of the relationship between TO and product innovation performance. On the other hand, the data did not support the assumption that SMEs with high TO achieve higher product innovation benefits than low TO SMEs for similar levels of social media use.

The results suggest that SMEs with lower levels of TO could increase their product innovation performance through increased use of social media in their innovation processes.

The study provides new knowledge on the role of social media in SMEs’ product innovation processes. As the level of TO increases, the use of social media in the innovation process becomes an increasingly important mechanism for deriving the full innovation potential from technological focus and abilities.

The purpose of this paper is to assess the success factors in a large organization that contributed to the success of organizational transformation (OT) through business diversification using a complex adaptive systems (CAS) framework. This assessment is done to determine how well the CAS framework can explain the success factors that contribute to the success of large-scale organizational change in complex organizations. If the CAS framework is capable of explaining the organizational factors that lead to the success of change implementation, the managers can employ this framework to increase the likelihood of success while implementing change.

This study uses qualitative research methodology. The data were collected from the case study organization (CSO) through 40 in-depth semi-structured interviews and analyzed using thematic deductive analysis approach.

The CAS framework explains the success factors that contribute to the success of OT through business diversification.

This paper provides a comprehensive guide for change implementation by combining the insights from the CAS framework with identified success factors (for change implementation) from the case organization.

The originality of this paper lies in extending the principles of existing change models, for successful change implementation by using the CAS framework. The prescribed change models and the CAS framework/complexity theory are two distinct sets of literature; this paper successfully merges the two to develop a comprehensive set of guidelines for change implementation. By doing so, this paper highlights the fact that alternative, non-linear, change approaches, instead of conventional multistep change models, can be effective in implementing large-scale organizational change successfully given the complexities of current organizational environments.

Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.

We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.

Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.

Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.

This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.

The study aims to determine the impact of perceptual and attitudinal factors on employees’ counterproductive work behaviour (CWB). The study emphasises the verification of the direct, indirect, linear and non-linear effects of several antecedents of CWBs. The moderating role of self-efficacy is also investigated.

Data were collected from 1,215 employees from several industrial companies in Southern Iraq. The study used the hybrid approach to data analysis, based on a dual-stage SEM-ANN, i.e. partial least squares structural equation modelling and artificial neural network approach.

Results indicate that most of the proposed variables predict CWB and that abusive supervision and perceived organisational politics (POP) positively affect job burnout (JB) through job stress. In addition, non-linear relationships, JB, abusive supervision and POP are the most important in predicting CWB. The study confirms that a negative perception of the work environment increases the likelihood of harmful behaviours in the organisation and that self-efficacy can reduce such a perception.

The importance of the current study is summarised in its attempt to verify the antecedents of CWB by relying on a two-step approach to test linear and non-linear relationships. This approach will greatly enhance theories regarding adverse behaviour in the workplace, especially, with a fairly large sample size.

The purpose of this study is to examine the extent to which a firm is able to leverage its information system (IS) innovativeness to improve supply chain resilience through developing and employing its analytics capability. It further considers how this mediating effect of analytics capability can be enhanced by internal and external integration.

Building on the logic of organizational information processing theory, a mediated moderation model is developed and tested using structural equation modeling and partial least squares regression based on survey responses from 247 working professionals.

The results indicate that IS innovativeness improves a firm’s supply chain resilience through enhanced analytics capability, with higher levels of internal and external integration further strengthening the effects of this mediating relationship.

This study is among the first to empirically test the effects of IS innovativeness and analytics capability on supply chain resilience and to examine the impacts of internal and external integration as key factors affecting the strength of these relationships. The findings complement existing literature through providing new insights into the linkage between IS strategy and supply chain resilience and highlighting the importance of relationships throughout the supply chain to enhance the efficacy of a firm’s analytics capability within this domain.

This study basically develops an omnichannel integration services (OIS) success model and further uses perceived value and stickiness to measure the actual net benefits. Furthermore, this study explores the role of service recovery in OIS success model.

A quantitative online survey study was mainly being conducted to statistically test these relationships among the customer experience, satisfaction, perceived value, stickiness and service recovery. The statistical data collected from 371 respondents were taken for analysis through partial least squares.

The findings revealed that the online and offline customer experiences have a significant influence on their level of online and offline satisfaction, respectively. Both online and offline satisfaction are major factors which are enhancing the perceived value and stickiness. Service recovery also has a significant effect on online and offline satisfaction.

The results of the hypotheses presented in the OIS success model may usually vary from one cultural context to another. Hence, additional studies should access the current research model, especially those that are culturally different from Taiwan.

The service failures are always inevitable and the recovery of such encounters represent to have a significant challenge for OIS. Thus, practitioners should allocate more such resources to enhance on customer experience of OIS, which in turn promotes to enhance customer satisfaction. Moreover, OIS practitioners seem to be more concerned with a thought on how to avoid service failures and provide satisfied customer experience than developing service recovery strategies.

Although the past studies on multichannel retail have yielded insights into the factors affecting consumers' channel preferences, there is a dearth of research that sheds bright light on the intense factors affect the success of OIS; hence, a conceptual framework of OIS success model, referenced to the model of updated information systems success (ISS), thus is used to act as the basis of this study. Furthermore, this study explores the role of service recovery in OIS success model.

The purpose of this research is to explore how an innovation organization's orientation toward the digital economy influences its position within R&D networks. By using institutional theory, the study aims to forecast market changes and understand how organizations can navigate the digital economy to secure essential resources and minimize dependencies.

This study employs a longitudinal panel dataset with 11,763 entries from 1995 to 2018, covering strategic emerging industries in China to analyze the impact of digital economy orientation on R&D networks. Utilizing advanced statistical models, it assesses the role of the legal environment as a moderator. This methodological approach facilitates a robust examination of the nexus between digital orientation and network dynamics within the context of institutional theory.

The study reveals that an organization's digital economy orientation enhances its centrality in R&D networks but reduces its control over structural holes. The legal environment negatively moderates the impact of digital economy orientation on network centrality, while positively influencing the relationship with network structural holes. These findings offer new insights into how institutional forces shape the strategic positioning of organizations in R&D collaborations.

This research offers a fresh perspective on the digital economy's impact on R&D networks, particularly in the Industry-University-Research (IUR) context. It extends the discourse by integrating institutional theory to elucidate the adaptation of R&D networks in the digital era. By identifying the legal environment as a moderator, the study provides a nuanced understanding of the strategic alignment within networks influenced by digital advancements. The unique focus on China's R&D networks presents a valuable contribution to the global discussion on digital integration and innovation ecosystems, highlighting the intersection of policy, academia, and industry in shaping research and development trajectories.

The study aims to explore dynamic capabilities such as innovation, entrepreneurial leadership, absorptive capability, and the dimension of entrepreneurial orientation in the handicraft sector to enhance supply chain resilience and innovation during unprecedented times. This study also used innovation as a mediating construct and supply chain orientation as a moderating construct.

We gathered data from the handicraft sector in the Uttar Pradesh (UP) in India using a pretested questionnaire. We used variance-based partial least squares structural equation modelling (PLS-SEM) to test our research hypotheses.

Our study indicates that to enhance innovation and improve supply chain resilience, firms should focus on developing dynamic capabilities such as entrepreneurial leadership, absorptive capacity, artificial intelligence (AI), innovativeness, risk-taking ability, and protectiveness. The study highlights the significant role of dynamic capabilities in the handicraft sector during times of crisis, enabling innovation and resilience to risk.

The study highlights the significant role of dynamic capabilities in the handicraft sector during times of crisis, enabling innovation and resilience to risk.

This study provides significant insights into the current understanding of dynamic capability theory and supply chain orientation and expands upon the existing literature in this field. It comprehensively analyses the latest research and advances knowledge in this area.