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Research on electric sports (eSports) has experienced significant growth in recent years as a consequence of increasing connectivity, institutionalization, and technological advances. However, the interdisciplinary nature of the eSports as a field and the burgeoning growth in eSports articles have rendered it necessary to conduct a systematic review of extant literature to take stock of the knowledge accumulated. To this end, we aim to undertake a comprehensive review of extant literature that takes stock of published research to derive opportunities for future research in the realm of eSports. In so doing, we contribute to the advancement of the field by mapping out the knowledge trajectory of eSports research and elucidating areas that have remained underexplored thus far.

To conduct systematic review of the eSports literature, we employed a framework that included six essential steps: protocol, search, appraisal, synthesis, analysis, and report. This comprehensive approach enables us to meticulously investigate the existing body of literature on eSports and identify key trends and topics addressed within the field. By conducting the multidisciplinary systematic literature review, we thoroughly assess the current state of eSports literature and subsequently outline potential research avenues that can contribute to eSports fields.

This study draws on a six-phase framework – member preparation, team formation, character selection, team coordination, team performance, and team reflection – to illustrate the roles played by different levels of analysis unit (i.e. characters, players, and teams) and three distinct yet interconnected stages (i.e. inputs, process, and outputs) within eSports games as well as the research opportunities it brings.

We conducted a rigorous systematic review of the eSports literature by using quantitative citation analysis and qualitative content analysis. Furthermore, we adopted team dynamic view of eSports to identify potential research avenues for future research that contribute to advancing our understanding of the eSports tournaments.

The purpose of this study is to investigate the driving factors for staff cohesiveness in the workplace and how they are related to workplace learning and development opportunities. Two research questions guided the inquiry: (1) What are the driving factors for staff cohesiveness in the workplace? and (2) How does staff cohesiveness influence workplace learning?

This study is based on a phenomenological research design. The data collection involved interviews and focus group discussions with 22 lecturers in two public universities. Thematic analysis was followed to analyse and interpret data.

The findings of this study indicate that staff cohesiveness is greatly influenced by several factors. Firstly, the presence of shared visions and goals plays a significant role in fostering staff cohesion. In addition, the similarity of age and gender among employees, as well as the presence of mutual support and a sense of belongingness, trust and solidarity, managerial support and the nature of the job that requires collective action, all contribute to staff cohesiveness. It is worth noting that previous studies have not reported the influence of age, gender and job characteristics as factors influencing staff cohesiveness.

Employers should not only focus on the knowledge and hard skills of applicants but also on the soft skills which support teamwork and cohesion in the workplace. Managers who want to enhance workplace learning should create opportunities for social gatherings and informal contacts in the workplace to facilitate informal learning in the workplace. Researchers focusing on workplace learning should include tacit learning practices that occur in the workplace as a result of the closeness between teammates.

This manuscript, which the authors hereby present, is the result of own original work. To the best of the authors’ knowledge, the authors wish to emphasise that it has not been submitted for publication in any other journals.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

Worldwide, schools implement social-emotional learning programs to enhance students' social-emotional skills. Although parents play an essential role in teaching these skills, knowledge about their perspectives on social-emotional learning is limited. In providing insight into the perspectives of parents from adolescent students this paper adds to this knowledge.

An explorative qualitative study was conducted to gain insight into parents' perspectives (N = 32) on adolescent social-emotional learning. A broadly used professional framework for social emotional learning was used as a frame of reference in interviews with parents from diverse backgrounds. Within and across case analyses were applied to analyze the interviews.

A conceptual model of four social-emotional skills constructs considered crucial learning by parents emerged from the data: respectful behavior, cooperation, self-knowledge and self-reliance. Parents' language, interpretations and orderings of skills indicate that the model underlying these constructs differs from skills embedded in the professional framework.

Participants were small in number and mainly female. Therefore, more research is necessary to test the model in other parent populations.

The social-emotional skills students in prevocational secondary education learn at home differ from those targeted in SEL programs. Engaging students’ parents in SEL program implementation is indicated to align the skills taught at home and school. Preparing teachers to implement such programs requires training them on engaging parents from diverse backgrounds.

The study is one of the first providing insight into parents’ perspectives on SEL, the social-emotional skills deemed crucial to master for adolescents, and the roles they view for themselves and school on teaching these skills.

The goal was emancipatory, to characterise and dislodge oppressive management practices, to allow for the possibility of seeking an alternative organisational construction free of postcolonial/subaltern subordination and discrimination in a local, well-documented narrative.

The study was informed by a postcolonial/subaltern perspective and drew on the employment experience of an Aboriginal woman, Canada’s first Indigenous Dean of a law school. The researcher employed a combination of case study and critical discourse analysis with the aim of advancing rich analyses of the complex workings of power and privilege in sustaining Western, postcolonial relations.

The study made several conclusions: first, that the institution, a medium-sized Canadian university, carefully controlled the Indigenous subaltern to remake her to be palatable to Western sensibilities. Second, the effect of this control was to assimilate her, to subordinate her Indigeneity and to civilise in a manner analogous to the purpose of Indian residential schools. Third, that rather than management’s action being rational and neutral, focused on goal attainment, efficiency and effectiveness, it was an implicit moral judgement based on her race and an opportunity to exploit her value as a means for the university’s growth and status.

Through a postcolonial/subaltern perspective, this study demonstrated how management practices reproduced barriers to the participation of an Indigenous woman and the First Nations community that an organisation was intended to serve. The study demonstrated how a Western perspective – that of a university’s administration, faculty and staff – was privileged, or taken for granted, and the Indigenous perspective subordinated, as the university remained committed to the dispossession of Indigenous knowledge and values.

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 microfinancing sector is infamous for being prone to high credit risks due to loan defaults by its poor borrowers. Conversely, the sector is also criticized for creating debt traps for the poor. The dual nature of these peculiar problems in microfinancing causes the market failure phenomenon. Therefore, the current study explores whether public policy intervention is required to address market failure.

The study undertakes a critical review of existing literature, the news, the policy documents and other publicly available information to shape the viewpoints in this study. Constructive criticism is used to build arguments to arrive at a conceptual framework that depicts how public policy should interact with markets to address the peculiar problems of the microfinancing sector.

The findings indicate that market failure in microfinancing is real and pressing. Therefore, public policy is invited, though in its limited form. While the policy intervention may help the formal microfinancing arena by regulating the interest rates, the policy administration in the informal sector is likely to fail. Therefore, the policy should attempt to create an environment of inclusiveness. Policies that rely on coercion are not recommended. In the long run, subsidies via policy intervention are discouraged. Instead, the policy should motivate the microfinancing sector to become self-reliant.

The study is one of its kind to provide perspectives on specific market failures and policy interventions in microfinancing, particularly in economies where formal and informal sectors coexist and are equally crucial.

The link between entrepreneurial intention and positive attitudes towards entrepreneurship for established and nascent entrepreneurs has been well documented in the extant literature, with the theory of planned behaviour (TPB) viewing entrepreneurial intention as a pre-requisite for entrepreneurial pursuit. Whilst scholars generally agree on these insights, little empirical evidence exists on how marginalised social groups can convert their intentions into action. This study aims to understand to what extent the elements of TPB, the attitudes towards entrepreneurship, self-efficacy and subjective norms, help explain the emergence of entrepreneurial activity amongst marginalised demographic groups.

This research focuses on unemployed women residing in social housing located in a deprived urban area of the United Kingdom to empirically examine how multiple layers of disadvantage faced by this group shape their motivations and intentions for entrepreneurial pursuit. A multi-source qualitative methodology was adopted, drawing upon inductive storytelling narratives and extensive fieldwork on a sample of unemployed ethnic minority women residing in social housing in a deprived urban area of the United Kingdom. Community organisation representatives and housing association employees within the social housing system were included to assess the interpretive capacity of TPB.

The findings display that TPB illuminates why and how marginalised groups engage in entrepreneurship. Critically, women’s entrepreneurial intentions emerge as a result of their experiences of multiple layers of disadvantage, their positionality and the specificity of few resources they can activate from their disadvantageous position for entrepreneurial activity.

By illuminating the linkages between marginalised women’s positionality and their associated access to the limited pool of resources using the TPB lens, this study contributes to emerging works on disadvantaged populations and entrepreneurial intention-action debate. This work posits that despite facing significant additional challenges through their positionality and reduced ability to mobilise resources, women in social housing can defy the odds and develop ways to overcome limited capacity and structural disadvantage.

This study aims to investigate earnings management practice of classification shifting of revenues in Chinese-listed firms.

The study employs a dataset of 2,920 A-listed firms from Chinese stock exchanges of Shanghai and Shenzhen for the period of 2003–2019. We apply both univariate and panel regression analysis by using fixed effect estimation with robust standard errors.

Our findings reveal that firms misclassify revenues by taking advantage of the flexibility provided by applicable financial reporting standards. The empirical evidence obtained through regression analysis suggest that managers reclassify non-operating revenues as operating revenue to alter the economic reality while seeking the advantage of financial reports users’ vulnerability for valuing the upper half of income statement items more as compared to lower part. The results further indicate that international financial reporting standards adoption inhibits the earnings management practices using classification shifting of revenues. It is also concluded that firms, which are suffering losses or having low growth, are more persistently involved in misclassification of revenues.

The study is unique from the point of view that it investigates earnings management from the prospective of revenue’s classification in an emerging market characterized by various market imperfections such as lower investor protection and higher information asymmetry.

The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019.

The authors demonstrate the way of applying text-mining and the Word2Vec model to identify hot topics (HT) and emerging trends (ET) in clinical psychology and psychotherapy. The analysis of 11.3 million scientific publications in the Microsoft Academic Graph database revealed the most rapidly growing clinical psychology and psychotherapy terms – those with the largest increase in the number of publications reflecting real or potential trends.

The proposed approach allows one to identify HT and ET for the six thematic clusters related to mental disorders, symptoms, pharmacology, psychotherapy, treatment techniques and important psychological skills.

The developed methodology allows one to see the broad picture of the most dynamic research areas in the field of clinical psychology and psychotherapy in 2010–2019. For clinicians, who are often overwhelmed by practical work, this map of the current research can help identify the areas worthy of further attention to improve the effectiveness of their clinical work. This methodology might be applied for the identification of trends in any other subject area by taking into account its specificity.

The paper demonstrates the value of the advanced text-mining approach for understanding trends in a subject area. To the best of the authors’ knowledge, for the first time, text-mining and the Word2Vec model have been applied to identifying trends in the field of clinical psychology and psychotherapy.