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Research on knowledge creation within eSports learning is scarce. This study extends the understanding of competition-oriented collaborative learning in eSports by examining the relationship between the dynamics of knowledge creation modes and the continuum of the motivational profile, along with the moderating effects of mutualistic co-presence therein.

Participants were recruited from the community of massively multiplayer online gamers (MMOGs). Through a quantitative survey, their motivations (i.e. self-extrinsic, self-intrinsic, peer-extrinsic and peer-intrinsic motivations), knowledge creation involvements (i.e. internalization, externalization, combination and socialization) and perception of mutualistic benefit of self and peers were captured for hypothesis testing.

Significant and positive direct relationships were observed between four motivations and four knowledge creation modes. The mutualistic co-presence positively moderated the positive relationship between the self-extrinsic, peer-extrinsic and peer-intrinsic motivations and socialization. When mutualistic self-benefit were outweighed, peer-extrinsic motivated gamers became less likely to perform internalization, whereas self-extrinsic and peer-extrinsic motivated gamers were less likely to perform combination.

This study is among the first to rationalize the relationship between motivational profile and the dynamics of knowledge creation in eSports learning. The conceptualization of the new construct – mutualistic co-presence – using the ecological concept of symbiosis is uncommon in prior literature. The findings also demonstrate that the four modes of knowledge creation in eSports learning are continuous and interwoven; they can be initiated at any point and do not necessarily occur in a specific sequence.

This study aims to investigate the relationship between Airbnb and long-term residential rents, using Santa Monica, California, as a case study. In 2015, Santa Monica adopted the home sharing ordinance (HSO), a stringent regulation aimed at restricting short-term rentals (STR). This research examines the implications of this ordinance on the local housing market.

The synthetic control method (SCM) is applied to a panel data set comprising Airbnb listings and residential rents from multiple cities in Los Angeles County. This approach is used to estimate the causal effects of Santa Monica’s HSO on two outcomes: Airbnb listings and residential rents.

The empirical results show a 60% reduction in Airbnb listings in Santa Monica within two years of implementing the ordinance. Despite this significant decrease, the effect of the regulation on rents was not significant. Suggestive evidence indicates that the ordinance’s ineffectiveness in increasing the number of houses allocated to long-term tenants may have contributed to its negligible impact on rental rates.

To the best of the author’s knowledge, this research is the first to use the SCM for evaluating the impact of STR regulations. It offers crucial insights to policymakers on regulating platforms like Airbnb. The study reveals a scenario where a marked decrease in Airbnb activity did not lower residential rents, highlighting the need for context-specific evaluations in understanding the housing market’s dynamics. Additionally, these findings are valuable for investors considering the implications of regulatory changes in the STR sector.

This study aims to systematically consolidate and quantitatively integrate the mixed empirical results on the association between ownership mechanisms and voluntary carbon disclosure using meta-analysis and further propose potential country-level moderators of this relationship.

The authors apply meta-analytic procedures on 55 empirical studies conducted during 2008–2022, covering 13 countries, 85 effect sizes and 226,473 firm-year observations. To gauge the significance of the estimated mean effect size, a random-effects Hedges and Olkin meta-analysis procedure is adopted, followed by a restricted maximum likelihood based meta-regression, to test the effect of possible moderators.

Aligned with agency and stakeholder theories, the results highlight institutional and state ownership (SO) as having a significant positive impact on voluntary carbon disclosure. On the other hand, ownership concentration, managerial and foreign ownership have an insignificant effect on voluntary carbon disclosure. Based on institutional theory perspectives, the authors confirm the impact of institutional ownership on voluntary carbon disclosure to be more prominent in civil law countries and those countries that have implemented an emission trading scheme (ETS).

The finding that institutional and SO in firms can translate into higher voluntary disclosures deems investors and the government as crucial stakeholders in achieving carbon neutrality. Furthermore, the finding that the effect of institutional investors on carbon disclosure is heightened in ETS-implemented countries provides evidence to the regulatory authorities in favour of this scheme.

The positive impact of institutional and government ownership on voluntary carbon disclosure highlights that these ownership structures not only have the potential to transform corporate decisions but also have implications for the wider society. As firms owned by institutional investors disclose their carbon information, it provides access to critical information about their environmental practices to the public. This fosters an environment of transparency and trust between the firm and its stakeholders (the community), leading to an overall well-informed society.

While prior meta-reviews studied the impact of corporate governance on voluntary disclosures, the meta-literature, as of 2024, has yet to address its influence specifically on carbon disclosures, which are pertinent amidst the ongoing global climate change crisis. The findings inform policymakers about the pivotal institutional factors that can amplify the impact of effective ownership structures on voluntary carbon disclosure. Future scope exists for investigating the effects of ownership mechanisms on firm-level sustainable investments. Furthermore, future empirical analysis could consider the moderating influence of “culture” and “ease of doing business” on the ownership-carbon disclosure relationship.

The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

The current advancements in technologies and the internet industry provide users with many innovative digital devices for entertainment, communication and trade. However, simultaneous development and the rising sophistication of cybercrimes bring new challenges. Micro businesses use technology like how people use it at home, but face higher cyber risks during riskier transactions, with human error playing a significant role. Moreover, information security researchers have often studied individuals’ adherence to compliance behaviour in response to cyber threats. The study aims to examine the protection motivation theory (PMT)-based model to understand individuals’ tendency to adopt secure behaviours.

The study focuses on Australian micro businesses since they are more susceptible to cyberattacks due to the least security measures in place. Out of 877 questionnaires distributed online to Australian micro business owners through survey panel provider “Dynata,” 502 (N = 502) complete responses were included. Structural equational modelling was used to analyse the relationships among the variables.

The results indicate that all constructs of the protection motivation, except threat susceptibility, successfully predict the user protective behaviours. Also, increased cybersecurity costs negatively impact users’ safe cyber practices.

The study has critical implications for understanding micro business owners’ cyber security behaviours. The study contributes to the current knowledge of cyber security in micro businesses through the lens of PMT.

The present study explored the extent to which home–school interactions for students with disability are addressed within Australian Federal, and State and Territory government and Catholic education department policies and guidelines.

Utilising a framework adapted from Trezona et al.’s (2018a, b) Organisational Health Literacy Responsiveness self-assessment tool, a document analysis of pertinent policies and guidelines provided an opportunity to understand the prominence of home–school interactions within these guiding documents, the prioritisation of home–school interactions, as well as stipulated actions, implementation resources and monitoring processes.

The findings of this analysis indicate that there are varying approaches to identifying and articulating home–school interactions and associated processes, as well as the roles and responsibilities assigned to stakeholders across the education system(s). Recommendations for increasing in-school and in-classroom translation of documented priorities and objectives are presented.

The article concludes with a broad conceptualisation of home–school interactions for students with disability as established within the analysed documents, as well as considerations for policymakers and researchers involved in policy and guideline development and implementation.

This literature review examines women’s significant workplace challenges and explores mental toughness, a distinct non-cognitive ability associated with peak athletic performance. This study aims to understand this concept and its potential for women professionals facing similar challenges in an organisational context.

Based on a systematic literature review, this exploratory paper is an integrative literature review synthesising pre-existing knowledge using secondary scientific databases. This literature analysis will pave the way for comprehension of the existing body of research, identification of research gaps, and opportunities for further studies. Different typologies of mental toughness (MT) have been identified, and a new typology will emerge from this research study.

The study analyses over 100 articles based on MT typology and complex gender dynamics at work, especially the “broken rung” concept of trapping women in lower or mid-level roles in an organisation. This content analyses the recent emergence of the MT typology in academic research, with articles published after 2019 and a few earlier key works that shaped the concept of MT. In addition to contributing a comprehensive typology of MT and its impact on women professionals, this paper also provides recommendations for future research and individual-level development of MT to help women overcome workplace barriers globally.

Understanding MT’s impact on women’s ability to overcome workplace barriers has HR implications, including hiring, retention, career advancement, training and closing gender gaps. This research may help individual women professionals adopt MT as a psychological resource to navigate work environment challenges. Further research is needed for practical insights, given this discussion is based on a literature review.

The practical implications of this study have a profound impact on human resource management practices within organisations, highlighting the multifaceted approach required to tackle gender disparity. A more inclusive and supportive work environment can be created by ensuring MT training is accessible to all employees. A comprehensive career development plan for women professionals, including but not limited to mentoring, executive sponsorship, skill-building training or stretched assignments, leadership coaching, networking opportunities, and increased visibility in the organisation are critical for career advancement and retention.

This study is a novel attempt to examine whether MT, which has proven effective in helping athletes achieve their goals, can be applied in a workplace environment. It is also a new endeavour to investigate whether women could use MT as a psychological tool to help them overcome obstacles in a diverse professional setting.

This paper aims to explore the realm of gig work and the gig economy in Romania in an attempt to shed light on the mechanisms of this type of work and the reasons and benefits of engaging in gig-related activities.Considering the low conceptual consensus on gig work, the authors aim to explore how participants in this study define and refer to gig work, thus helping to contribute to the current conceptualization and characterizations of gig work and the gig economy. Among the wide range of services encountered within the gig economy, this research focuses on three categories of tasks, as defined within COLLEEM 2018 questionnaire (see Pesole et al., 2018), namely, online creative and multimedia work, online sales and marketing support and online software development and technology work.

Based on semistructured interviews with people working in the gig economy in Romania, the authors look to understand the meaning given to gig work and its features. The authors tackle how participants in this study perceive themselves and their work. The authors also look into perceived similarities and differences with other types of independent work.

In this paper, findings are organized into two main sections. The first section showcases perceptions about working in the gig economy, including how people involved with this type of work are describing them and their activity and exploring financial insecurities in connection with the independent/gig work. The second section highlights the mechanisms of gig work on digital labor platforms, developing means and ways of reputation-building and their impact on financial earnings.

This research aims to contribute to a better understanding of the environment and needs of gig workers. Although gig economy and online work are widely covered by field literature, knowledge about the experiences and perceptions of gig workers in emerging markets has more to gain by exploring European Union developing markets.

This study aims to evaluate the service and crime prevention performance of law enforcement agencies in Taiwan’s municipalities. By analyzing these performances, the study seeks to improve the efficiency of police services through appropriate resource allocation, ultimately achieving enhanced crime prevention.

The study utilized a two-stage data envelopment analysis (DEA) to construct performance metrics. In the first stage, the service performance of the police force was measured using the number of police officers and police stations as inputs and the number of patrols and temporary patrol boxes as outputs. In the second stage, crime prevention performance was assessed with the number of patrols and temporary patrol boxes as inputs and cases of violence, injury, intimidation and theft as outputs. Additionally, a truncated regression model was employed to analyze the impact of environmental variables such as per capita income, population density, proportion of the population with higher education and the unemployment rate on crime prevention performance.

The study found significant variations in both service and crime prevention performance across different municipalities. By identifying the most efficient and inefficient units, the analysis revealed critical insights into resource utilization and areas needing improvement. The regression analysis indicated that environmental factors such as higher per capita income, population density, education level and unemployment rate significantly affect crime prevention performance.

This research provides a novel approach to assessing police service efficiency and crime prevention effectiveness using a two-stage DEA model. By incorporating environmental variables through truncated regression, the study offers a comprehensive evaluation framework that can inform policy decisions and resource allocation strategies. This methodology not only highlights the performance metrics of law enforcement agencies but also underscores the influence of socioeconomic factors on crime prevention, contributing to the broader literature on public safety and resource management.

This study evaluates the evolution from traditional to nontraditional financial intermediation (NTFI) in Chinese commercial banks from 2006 to 2021, analysing its impact on bank performance and risk.

Accounting measures are used to construct granular activity data, and factor analysis is employed to develop a financial intermediation evolution (FIE) index. The fully modified OLS (FMOLs) estimator is used for nonstationary data analysis, and difference-in-differences (DID) analysis is used for robustness check.

Chinese banks exhibit unique evolution in financial intermediation compared to developed economies, with greater inter-bank variations over time than intra-bank differences. From 2006 to 2017, three paths were identified: Investment, Fee and Repo models, with a fourth path (the Investment2 model) emerging post-2017. Only the Repo model enhances bank returns (ROA & ROE), while shifts towards NTFI increase liquidity and leverage risks across all models. The evolution of bank business models and their consequent implications on performance and risks are influenced by regulatory objectives and banks’ endeavours in regulatory arbitrage.

Major stakeholders in the banking sector can gain a better understanding of financial intermediation and associated market behaviour, performance and risks, with significant implications for banking regulations and crisis management.

This study provides the first comprehensive overview of the evolution of Chinese commercial banks’ financial intermediation activities over an extended period, uncovering the unique characteristics distinct from the developed economies.