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Video game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.

The proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.

The findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.

This study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.

This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).

Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.

The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.

The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.

This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.

The authors examine how the major board reforms recently implemented by countries around the world affect firms' choice of debt.

Using a quasi-experimental setting of major board reforms around the world that aim to improve board-related governance practices in various areas, this study investigates the impact of effective board monitoring on corporate debt choice. The authors employ difference-in-differences-type quasi-natural experiment method and path analysis for hypotheses testing.

The authors find that the implementation of board reforms is positively associated with firms' preference for public debt financing over bank debt. However, this effect tends to weaken after the fourth year following the implementation of board reforms. In additional analyses, the authors find that “rule-based” reforms have a more pronounced effect on firms' choice of debt than do “comply-or-explain” reforms. Both (1) strengthened firm-level internal governance practices that address concerns about the agency cost of debt and (2) reduced information asymmetries play important roles in facilitating firms' debt choice, but the evidence suggests that the former is the economic mechanism through which country-level reforms affect corporate debt choice.

The study extends the literature examining the heterogeneity of corporate debt choices in a global setting and the literature on the consequences of corporate governance reforms.

The findings demonstrate the effectiveness of the corporate board reforms implemented in countries around the world, addressing concerns from critics about their potential harm or ineffectiveness.

The results indicate that country-level board reforms reduce the extent to which shareholder–creditor conflicts harm shareholders.

This paper aims to understand and document evaluation criteria used in the new product development (NPD) process of small- and medium-sized enterprises (SMEs) to support the management and control of their NPD projects.

This study combines exploratory and explanatory methodology (case studies) involving five Canadian small and medium enterprises (SMEs) that are successful in NPD. The authors conducted semi-structured interviews with nine selected managers and project managers to explore the process and evaluation criteria used to manage and control NPD projects.

The results highlight that cost, time and quality are key evaluation criteria used by SMEs to make decisions relative to the NPD project's success. Profitability, return on investment, expected sales and customer satisfaction are additional criteria used to evaluate NPD project's success. It has been also found that the SMEs did not consider sustainability issues in the criteria used as their focus are on the needs of stakeholders, mainly customers.

Limitations: The evaluation criteria are extracted from a limited number of SMEs that have successfully carried out NPD projects and may therefore be influenced by some contextual factors. The results cannot be generalized to all SMEs or to all projects, as their characteristics may differ. Implications: This study offers a novel outlook on NPD process in SMEs, by documenting criteria related to constraints in project management. The integration of theory of constraints contributes to increasing theoretical knowledge about the management and control of NPD projects in SMEs. It provides insight into how project managers (and other decision makers) can increase the chances of project success by managing project constraints and criteria.

The evaluation criteria identified in this study can therefore be of use to SMEs managers and project leaders seeking to improve the management and control of their NPD projects. These criteria can help them better manage their limited resources and skills and allocate them to the most promising projects. They can also help them conduct their NPD process more efficiently to achieve the intended objectives, including the desired project profitability targets.

This paper offers new insight and practical implications about evaluation criteria within the stages and activities of the NPD process that needed to be considered by SMEs' managers involved in NPD projects.

The primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.

This research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.

This study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.

This analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.

This study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.

Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

While previous studies have focused on identifying management control (MC) mechanisms in international construction joint ventures (ICJVs), the impacts of such MC mechanisms on the performance of ICJVs remain largely unknown. This study aims to investigate the impacts of MC mechanisms on the performance of ICJVs hosted in the developing country of Ghana.

Through a comprehensive review of the literature, a theoretical model was developed, and data were collected through a questionnaire survey with 190 project managers composed of Ghanaians/locals and their foreign partners of ICJVs. The data were analyzed using partial least squares structural equation modeling.

Results showed that both personnel and support and training control mechanisms have a positive and significant impact on project and company/partner performance. Surprisingly, insignificant and negative impacts exist between both mechanisms and socioenvironmental and company/partner performance from the local partners' view, respectively; the reverse is rather true from the foreign partners' perspective.

This study contributes to the ICJV body of knowledge by analyzing the impacts of MC mechanisms on the ICJVs’ performance, enabling ICJVs frontliners (i.e. top managers) and project managers to better enhance their control structures and the ICJVs’ performance.

This is arguably the first study to take the bipartite perspective rather than the unilateral view of studying the impacts of MC mechanisms on the performance of ICJVs.

This study proposes an innovative concept of green digital transformation capability (GDTC) and explores the interrelationships among GDTC, ambidextrous green learning (AGL) and sustainability performance (SP) from multiple perspectives.

Survey questionnaires were distributed to Taiwanese firms engaged in various sectors, including electrical and information, metal and precision machinery, rubber material, chemical, daily necessity and food and beverage manufacturing, resulting in 306 valid responses. Structural equation modeling in SPSS v26 was used to test the hypotheses. Furthermore, we analyzed the mediating effects using SPSS PROCESS.

The results demonstrated that GDTC affected SP both directly and indirectly through exploratory and exploitative green learning. Furthermore, this study revealed the pathways through which GDTC influenced the SP of Taiwanese manufacturing firms.

This study is limited to Taiwanese manufacturing firms. Future studies should expand their sample size to explore digital transformation (DT) practices in various regions and industries.

The DTs in manufacturing have profound social implications, emphasizing that companies should consider economic, social and environmental sustainability during digitalization.

This study introduces a novel concept of GDTC and provides important theoretical insights and practical implications for the intersection of DT and sustainability perspective. These findings will offer valuable guidance to companies seeking sustainable development in the digital era.

The aim of this study is to examine how brand trust moderates the effect of brand experience on brand loyalty mediated by brand love in the context of Korean smartphone users. The authors examine the relationships focused on Apple iPhone and Samsung Galaxy phone.

The authors designed the conceptual model based on theoretical and empirical background. The authors collected data using a self-administered structured questionnaire through an online research company. The authors tested the hypotheses using a structural equation modeling in AMOS and PROCESS macro model number 8 based on 598 Korean smartphone users.

The authors found that brand experiences affect brand love, and brand love affects brand loyalty. The authors found that brand experiences affect brand loyalty directly, and brand love mediated the relationship between brand experiences and brand loyalty. The authors found that brand trust had a moderating effect between brand experiences and brand love but had no moderating effect between brand experiences and brand loyalty. Finally, the authors found that brand trust has a moderated mediation role between brand experiences, brand love and brand loyalty.

This is the first study to examine the moderated mediation role of brand trust in the relationship between brand experiences, brand love and brand loyalty focused on Apple iPhone and Samsung Galaxy phone users in the Korean context.

The desire to spectate at traditional events and festivals in different countries is dying. From a marketing perspective, researchers and practitioners need to understand why people spectate at these conventional events and festivals. Data-driven marketing approaches can help event and festival marketing policymakers in attracting potential spectators. Drawing on attachment theory, the current study fills this void and explores fans' motivation and intentions to follow Kushti (i.e. traditional wrestling) events while developing a new event attachment scale (EAS).

Three comprehensive studies were conducted. First, an exploratory study where 12 retired wrestlers, considered hardcore fans of Kushti were interviewed. The collected data was analyzed using thematic analysis. Second, a pilot study (n = 204) was performed leading to a main survey (n = 365). The survey data was analyzed using exploratory and confirmatory factor analysis techniques.

Results revealed five types of attachments (i.e., ground attachment, game attachment, emotional attachment, cultural attachment and player attachment). An important intervention is the unique elements within each of these attachments, which may motivate fans to follow traditional gaming events. The new scale offers excellent psychometric properties.

Event and festival marketers should consider the role of tradition while marketing such events. The retired wrestlers can be used as influences/reference points to attract visitors to spectate at Kushti events. Furthermore, facilities such as smooth roads, approachable grounds and excellent service operations during these events can help policymakers to attract more spectators.

The study is unique in contextualizing Kushti and presenting a unique scale to measure fans' motivations and intentions to follow traditional gaming events.