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Online games are widely adopted electronic applications that facilitate flow experiences, which is a highly enjoyable experience for players, thus motivating further engagement in online gameplay. During gameplay, players set gaming goals, and they must make cognitive efforts to achieve these goals. However, we do not know how goal-setting and cognitive gaming elements (game complexity and game familiarity) create flow, indicating a research gap. To fill this gap, we use the cognitive gaming elements in the literature and the theoretical elements of goal-setting theory to build a model.

Conducting a large-scale online survey, we collect 3,491 responses from online game players and use structural equation modeling for data analysis.

We find that challenging goals, game complexity, game familiarity and telepresence are positively linked to player-perceived flow, explaining 45% of the variance. The new finding is that challenging goals can strengthen the link between game complexity and flow. We also find that telepresence can strengthen the link between game familiarity and flow.

Our study provides the novel insight that gaming goals and cognitive gaming elements can generate player-perceived flow. This insight can help game makers design gaming elements to accommodate players' cognitive efforts to achieve in-game goals, thus creating flow and effectively increasing players' game engagement.

The information and communications technology (ICT) industry is revolutionizing the world. However, achieving net zero emissions and sustainable development goals is equally important. This study uses intellectual capital-based and natural resource-based theories to determine whether green information technology capital (GITC) mediates the relationship between corporate social responsibility (CSR) and environmental performance. The role of the top management teams (TMT) green commitment as a moderator between CSR and GITC is also hypothesized.

Data were collected using multi-wave and multi-respondent strategies from 275 ICT firms to examine these relationships. Structural equation modeling was used for analysis.

The findings demonstrate that CSR significantly and positively impacts environmental performance, with GITC significantly mediating this relationship. Furthermore, the statistical results confirm that TMT’s green commitment significantly strengthens the connection between CSR and GITC.

The significance of TMT’s green commitment as a boundary condition that enhances the effectiveness of strategically aligned CSR practices provides novel theoretical insights to extend the CSR literature. Additionally, it offers practical implications for the managers of ICT firms, which are discussed in detail.

This study aims to examine the impact of peer-to-peer (P2P) accommodation platforms’ green marketing on consumers’ pro-environmental behavioural intention through the mediation of consumer trust and engagement, following the social influence theory and the stimulus–organism–response model.

A questionnaire survey was designed to collect data from American P2P accommodation consumers. Data collection was conducted through an outsourced survey company. Partial least squares structural equation modelling was used to analyse the data.

The study reveals that P2P accommodation platforms’ green marketing orientation was positively associated with consumer trust in the platform and consumer engagement with the platform. Both consumer trust and consumer engagement positively enhanced consumers’ pro-environmental behavioural intention in the P2P accommodation consumption, serving as effective mediators between consumers’ perceptions of green marketing orientation and pro-environmental behavioural intention.

The study offers practical insights for P2P accommodation platforms and operators in engaging in green marketing and fostering consumers’ pro-environmental consumption behaviours in P2P accommodations.

The study addresses the grand question of whether business operators’ responsible production behaviour can possibly lead to consumers’ responsible consumption behaviour in the P2P accommodation sector. It contributes to the literature on P2P accommodation by providing evidence to show green marketing practices of P2P accommodation platforms can lead to consumers’ pro-environmental behavioural intention. It provides both theoretical value for knowledge advancement and practical value to guide more sustainable industry practices.

This study aims to first investigate and compare the perceptions of departed and on-the-job nurses in the patient safety culture and then identify critical dimension(s) that might affect these two groups.

A chi-squared test is employed to find critical demographic variables between departed and on-the-job nurses. In addition, linear regression with forward selection is used to identify the essential dimensions of the Chinese version of the Safety Attitudes Questionnaire (CSAQ) that affect the overall satisfaction of the patient safety culture in a regional teaching hospital in Taiwan. A total of 196 departed nurses and 386 on-the-job nurses participate in this study.

No significant differences in eight dimensions along with the overall satisfaction of the patient safety culture are found between these two groups. For departed nurses, the strongest predictor of the overall satisfaction of the patient safety culture is perceptions of management, while safety climate and teamwork climate have significant relationships with the overall satisfaction. On the other hand, working conditions is the most essential dimension influencing the overall satisfaction from on-the-job nurses’ viewpoints followed by perceptions of management and emotional exhaustion. The perceptions of management are the only factor that influences the overall satisfaction for both groups.

Measuring the patient safety culture cannot predict nurses’ turnover; however, some aspects of dimensions from the CSAQ are associated with the overall satisfaction of the patient safety culture.

Health practitioners should focus on implementing known strategies to improve the overall satisfaction, including support from leadership, sufficient resources and burnout alleviation.

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

This paper aims to explore the intersection of artificial intelligence (AI) and marketing within the context of knowledge management (KM). It investigates how AI technologies facilitate data-driven decision-making, enhance business communication, improve customer personalization, optimize marketing campaigns and boost overall marketing effectiveness.

This study uses a quantitative and systematic approach, integrating citation analysis, text mining and co-citation analysis to examine foundational research areas and the evolution of AI in marketing. This comprehensive analysis addresses the current gap in empirical investigations of AI’s influence on marketing and its future developments.

This study identifies three main perspectives that have shaped the foundation of AI in marketing: proxy, tool and ensemble views. It develops a managerially relevant conceptual framework that outlines future research directions and expands the boundaries of AI and marketing literature within the KM landscape.

This research proposes a conceptual model that integrates AI and marketing within the KM context, offering new research trajectories. This study provides a holistic view of how AI can enhance knowledge sharing, strategic planning and decision-making in marketing.

Purpose: To investigate the key technologies facilitating the transition towards Industry 5.0 and analysing the contributions of Nvidia, a prominent leader in this field, to these technological advancements.

Significance of the study: Technology companies such as Nvidia play a critical role in this transformation through their innovative solutions. This study addresses the need to understand this evolving landscape and the significant impact of the Nvidia.

Methodology: This study is a qualitative approach that examines the existing literature and secondary case studies pertaining to Industry 5.0, and Nvidia. This study examines Nvidia’s high-performance graphics processing units (GPUs), the digital twin platform Omniverse, and the humanoid robot technology development platform, Isaac.

Findings: The next generation of GPUs with the Blackwell architecture is expected to further advance the development of large language models. The Nvidia Omniverse platform contributes significantly to the development of digital twins, a crucial technology for Industry 5.0. The Nvidia Isaac platform focuses on the development of humanoid robot technology, which is a key component of Industry 5.0. Utilizing realistic simulations with Isaac Sim, imitating human behavior with GR00T, and leveraging the high-performance processing power of Jetson Thor, the platform facilitates the creation of robots capable of safe and effective human–robot collaboration. Nvidia has emerged as a leader in the artificial intelligence (AI), robotics, and gaming sectors because of its innovative and agile company culture.

Practical implications: Companies can leverage Nvidia’s technological solutions to optimize production processes and enhance both efficiency and sustainability. The human–machine collaboration emphasized by Industry 5.0 will necessitate the reshaping of workforce skillsets and operational approaches.

This study examines the relationships among residents' event impact perceptions, attitude towards events, attitude towards sponsors and sponsor-related behavioural intentions (i.e. purchase intention and word-of-mouth).

Focusing on the Naha Marathon in Okinawa, Japan, as a research context, data were collected from residents of Okinawa who were familiar with the Naha Marathon and its sponsors (N = 322). Structural equation modelling was employed to test the hypotheses, developed based on theories of social exchange, image transfer and planned behaviour.

The findings revealed that residents’ perceptions of social event impacts, rather than economic and environmental impacts, were associated with attitudes towards the event. Such an effect was indirectly associated with purchase intentions and word-of-mouth intentions via attitude towards the sponsors.

The current research contributes to the literature on sport sponsorship, especially in participation-based sports, by exploring how event sponsors can enjoy fruitful returns on investment. The findings can extend our understanding by highlighting the importance of positive community engagement for sponsors. Sponsors who aim to enhance consumer behaviour should prioritize strategies aligning with the positive social impacts of events.

This study aims to investigate whether managerial short-termism affects the expected default probability for a sample of Chinese-listed firms.

To capture default, we utilize the expected default probability measure developed by Bharath and Shumway (2008). Textual analysis and machine learning techniques are used to construct the index of managerial myopia. We conduct ordinary least squares regression and employ a large sample of 33,164 firm-year observations from Chinese A-share listed firms spanning the years 2001–2021 to test our theoretical hypotheses. We further conduct mediation tests, moderating analysis, textual features analysis and analysis of actual default firms. In addition, we employ change regression, entropy-balanced/propensity score/closest assets matching analysis, two-stage least squares regression, two-stage residual intervention method and alternative estimation methods to address endogeneity concerns.

First, there is a positive and statistically significant relationship between managerial myopia and expected default probability. Second, the mediation tests indicate that managerial myopia increases the expected default probability through operational risk and opportunistic agency channels. Third, the cross-sectional tests reveal that the positive association is less pronounced for firms with effective internal control systems, higher audit quality and more financial analyst coverage.

Our study reveals the need for comprehensive early warning mechanisms in the corporate bond market in China, in particular, through enhanced transparency of managerial incentive schemes and more rigorous disclosure requirements regarding short-term managerial decision-making. Furthermore, the findings of our study suggest the necessity of taking an integrated approach in developing regulatory frameworks that enable market intermediaries – including rating agencies, financial analysts and external auditors – to execute their monitoring functions with greater effectiveness.

Prior research has examined the impact of managers’ demographic characteristics on a range of corporate organizational outcomes; however, there have been few studies investigating the influence of managerial myopia on corporate financial risks. This study advances the literature on the determinants of default probability. It contributes to the limited and emerging studies on the role of managerial myopia by being the first to examine the effect of managerial myopia on expected default probability.

As the search engine platform, Baidu has already developed keyword advertising as one of its main business scopes, while in-feed advertising is emerging as another intelligent choice for the company. Our purpose is to validate the effectiveness of keyword and retargeted in-feed advertising on offline sales and whether the effectiveness of these two advertising strategies relies on keyword attributes work.

We utilize data from the ad campaigns of a prominent manufacturer within the machinery and equipment (hereinafter referred to as “the company”) on Baidu. To scrutinize the research hypotheses, we have employed linear regression models. Subsequently, we address potential endogeneity issues and use various techniques to ascertain the reliability of the results.

Empirical evidence indicates that both keyword and in-feed advertising enhance offline sales. Upon examining the moderating role of keyword attributes (specificity and length), we observe that specific keywords (price and word-of-mouth (WOM)) accelerate the boosting effect of advertising on sales; similarly, the longer the keywords, the more obvious the enhanced impact of advertising on sales. Moreover, the positive influence of specific keywords (price and WOM) on advertising effectiveness is more outstanding when the keywords are longer.

To our knowledge, no empirical investigation has yet to analyze keyword and retargeted in-feed advertising concurrently within the search engine context. Our research is the inaugural work to reveal that they serve as mutual substitutes regarding their impact on sales. Furthermore, this paper pioneers examining the moderating effects exerted by keyword attributes (specificity and length) on the effectiveness of these two ad types. The findings presented herein offer valuable insights into the harmonious coexistence and collaboration among companies, advertisers, users and search engine platforms.