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Although the literature on the effectiveness of team interventions is constantly expanding, there has been a strong focus on the process mechanisms that could explain their success, often overlooking the contextual aspects in which these interventions are carried out. Based on the Context-Mechanism-Outcome framework, this study aims to investigate the influence of contextual factors on the effectiveness of digital team coaching interventions that use social network visualisation to enhance team coordination and reduce interpersonal conflicts.

Using a multi-wave, longitudinal design, this research analysed 38 work teams from three organisations over three-time points. Data collection focused on manager and peer support, the mechanisms of training transfer and action plan implementation and the outcomes of these interventions. Surveys were administered in three organisations, involving 317 respondents across different phases. The intervention spanned six to eight months, incorporating three to four structured online group sessions. Each session involved a multi-stage process, concluding with a result-oriented action plan about work-related goals. The intervention included social network visualisation, discussions, coaching and continuous refinement of action plans.

The analysis highlights how manager support significantly correlates with team coordination and performance, mainly when teams are less engaged in implementing action plans. Peer support did not show a mediating effect on training transfer or outcomes but had direct positive impacts on team coordination and performance.

Teams actively implementing action plans may require less immediate managerial support for effective coordination and high performance. The manager’s role becomes crucial, particularly in the early stages of the intervention or in those teams where online coordination alone may not be adequate for action plan implementation. Peer support for training transfer could enhance the effectiveness of the intervention in achieving desired team outcomes; therefore, cultivating a supportive peer environment is crucial for the success of such interventions. Monitoring and assessing team dynamics are vital to maximise the benefits of digital team coaching interventions.

This study stands out for its innovative exploration of the interplay between managerial and peer support in the context of digital team coaching, using social network visualisation as a novel approach to enhancing team dynamics.

Based on social influence theory, this paper aims to explore the influence of academic entrepreneurs on team innovation activities. The innovation behavior of academic team members is the key behavior in academic entrepreneurial activities. As a special entrepreneurial group, academic entrepreneurs' political skills play an important role in stimulating team innovative behaviors.

This paper adopts a multi-level study design and takes as samples the paired data of 91 academic entrepreneurial teams (n = 475). Based on team cognition, it constructs a model of the influence mechanism of academic entrepreneurs' political skills on team innovation behavior and explores the mechanism of transactive memory system in this influence effect. The authors use HLM and PROCESS macro to test our multilevel model.

The results show that academic entrepreneurs' political skills positively impact team innovation behavior, and a transactive memory system plays a mediating role between them. Team psychological safety significantly enhances the positive relationship of both academic entrepreneurs' political skills and a transactive memory system with team innovation behavior. Moreover, with enhanced perceptions of team psychological safety, academic entrepreneurs' political skills are more likely to improve team innovation behavior through the transactive memory system.

The study explores the influence of transactive memory system on the relationship between academic entrepreneurs' political skills and team innovation behavior, with the team cognitive perspective derived from social influence theory. This provides authors with new insights on the complex dynamics at place in the team innovation process and offers implications for how we can fruitfully manage this process.

Leadership research has traditionally focused on formal leadership; however, leaders may emerge in informal settings in self-managed teams, and little is known about who emergent leaders are and what their characteristics are. This study investigates emergent leaders' behaviors, roles, skills, and leadership style, drawing on a multi-method approach.

We first identify emergent leaders using social network analysis and aggregation approaches. Second, we investigate emergent leaders' characteristics using interviews with forty agile team members in five organizations.

Results indicate different roles of emergent leaders (i.e. coach, liaisons), leadership styles (i.e. supportive), skills (i.e. culturally intelligent, strategist), and influencing factors (i.e. personality, technical knowledge, social circle).

We contribute by identifying emergent leaders through multiple identification methods (i.e. network analysis, aggregation), and then through identifying their various characteristics, we contribute to leadership literature as well as idiosyncrasy-credit theory. We also add to agile-leadership theory, showing that multiple informal leaders may emerge within agile teams. Finally, our findings have practical implications for self-managed teams, informal group settings, organizational change professionals, and organizations with horizontal structures.

Despite growing emphasis on green skills, innovation, and sustainable livelihoods, research remains limited in the informal economy, particularly in developing countries. This study investigates gaps in green skills training, innovations and livelihoods among informal metal fabricators, shedding light on the challenges and opportunities within this sector. Specifically, the study critically assesses the potential for upskilling informal metal fabricators through Technical and Vocational Education and Training (TVET) institutions and university innovation hubs.

Employing a qualitative interpretive methodology, we conducted 40 key informant interviews with small-scale informal metal fabricators operating in Magaba and Gaza home industries, two of Harare’s largest home industries in Zimbabwe. Subsequent key informant interviews were held with TVET educators and innovation hub lecturers. Observations were carried out over a period of three months to comprehensively explore the issues under investigation.

Gender disparities persist within informal innovation spaces, with women making strides in the traditionally male-dominated field of metal fabrication. However, challenges such as prejudices, stigma, ridicule and abuse hinder women’s full participation in manufacturing processes, often relegating them to less physically demanding roles like customer engagement and product marketing. Inequities in support for green skills training were evident, with the innovation hub model primarily catering to formally educated youth in universities, neglecting the active involvement of notable informal innovators with limited formal education. While a gradual shift toward renewable energy sources is observable in the informal economy, government-owned TVET institutions show minimal or no adjustments in course content to incorporate essential green skills. In light of the findings, the study proposes measures to ensure equitable green skills training, innovation and the promotion of sustainable livelihoods in the informal metal fabrication sector.

The findings of this study represent a novel contribution the gaps in green skills training in the informal economy and how these inform reforms for vocational learning and training practices and the incubation of innovations.

The integration of digital technologies into education has brought about a profound transformation, fundamentally reshaping the learning landscape. The purpose of this study is to underscore the importance of investigating the factors influencing students’ engagement (SE) in this evolving digital era, particularly within formal digital learning environments. To address this need, the study is grounded in self-determination theory (SDT) and presents a comprehensive model comprising interconnected elements: digital competence (DC), smartphone use (SPU), perceived autonomy (PA), digital formal learning (DFL) and SE.

The research conducted an investigation within Saudi Arabian universities, collecting a robust data set of 392 cases. This data set underwent rigorous analysis to validate the proposed model. To untangle the intricate relationships within the framework, the study used partial least squares structural equation modelling. Given the distinct dimensions of the two constructs under study, the researcher used a disjoint two-stage approach to establish reflective-formative higher-order constructs (HOC).

The findings revealed that digital literacy and digital skills (DS) constitute the foundational constituents of DC. Simultaneously, the study identified facilitation, distraction and connectedness as integral components of SPU. Importantly, the study established that DC, SPU, PA and DFL significantly influence SE. Furthermore, the research illuminated the mediating roles played by SPU, PA and DFL in the complex relationship between DC and SE.

This study advances the literature by delineating the dynamic interplay between DC, SPU and SE in digital learning. It extends SDT within educational contexts, emphasizing the role of internal motivations and DS. Methodologically, it innovates through reflective-formative HOCs, deepening the analysis of complex educational constructs. Managerially, it guides institutions in enhancing DC and integrating smartphones effectively into learning, advocating for tailored strategies to foster engaging and autonomous digital learning environments, thereby enriching both theoretical understanding and practical application in education.

In this research article we aim to answer two research questions: - With ever increasing AI based integrations in organizations, it is imperative to understand how employees learn and adapt to these newer technologies? What is the impact of this learning and adaptation on AI-based employee productivity?

A survey-based research design has been conducted among the employees working in technology companies. Questionnaires were administered by the researchers physically using snowball based purposive sampling to reach the participants who are working in the AI driven technology companies. The data was analyzed using Structural Equation Modelling and numerous studies have previously used this approach for model fit and testing.

it was found that employee learning has significant positive mediational impact on the relationship between AI trust, knowledge sharing and AI skills and AI-employee collaboration. SEM results indicate that data fits the proposed model well.

findings indicate that as the trust in AI develops, employees are more interested in learning and increasing their understanding of AI driven work and increase their AI skills such as Machine learning and data analytics. To increase AI-employee collaborations and upskilling: organizations will need to foster AI training opportunities; make employees work on projects having AI based sociotechnical systems; create environment of knowledge sharing among employees on AI themes.

The use of Artificial Intelligence (AI) is ubiquitous, and more and more organizations are adopting AI in their operations which lead to massive scale changes in the functioning of organizations. These large-scale massive transformations are posing challenges and opportunities at the same time. At the same time, it created immense challenges for employees’ adjustment to the new learning and skilling requirements posed by AI (Sengupta et al., 2022). It is therefore expected that employees embrace the associated new technologies of AI such as big data analytics, Machine learning and Robotics.

The purpose of this study is to investigate the barriers that prevent workers in the software industry from experiencing flow in their work.

This study was conducted by using a qualitative critical incident technique-inspired questionnaire.

The findings suggest that workers in the software industry perceive that the most obvious obstacles to experiencing flow are related to work not presenting enough cognitive challenges and situational barriers related to the characteristics of the job (e.g. workdays having too many interruptions and distractions, timetables often being considered too tight for creative exploration and problem solving and having negative user experiences with development tools).

The findings provide insights into flow barriers, specifically barriers that prevent workers in the software industry from experiencing flow.

This paper aims to explore the past and future impacts of automation on family businesses, with a focus on the opportunities for human capital empowerment.

This paper draws upon a contemporary literature search to examine a range of scholarly and practitioner perspectives of the challenges and benefits of automation, exploring the evolvement towards hyperautomation and the empowerment of human capital in family businesses.

Automation, transforming to hyperautomation, general purpose artificial intelligence (AI) and beyond has the possibility of radically improving productivity. Fear of job obsolescence has been present since the birth of modern automation, and whilst some jobs are at risk of redundancy, a net gain towards higher-skilled labour is already evident. Family business leaders must be prepared to react appropriately to the accelerating war for talent by implementing a strategy for human capital empowerment.

This unique paper synthesises developments in automation and proposes a future perspective centred upon the empowerment of human capital in family businesses.

Emphasis is placed on knowledge-sharing practices and their influence on the power structure influenced by the technological background of the organization. This paper aims to focus on technological skills institutionalized to build organizational technological capital favoring the knowledge-sharing practices. It aims to extend the sociology literature by providing a conceptual background to explain the restructuring initiatives through the stabilizing role of technological capital.

Two comparative case studies have been conducted: the first study took place in a public company and the second study was carried out in a private company of telecommunication involving a documentary study, an observation and semi-structured interviews.

The findings in this paper show that the knowledge-sharing practices in the organizational field are stabilized by the technological capital. The technological capital promotes a knowledge management system and plays an important role in restructuring the established power within knowledge intensive organizations.

Chief executive officers are encouraged to promote sharing practices through developing an innovation culture and valuing technological skills. Relevance should be granted to the technological capital, which aligns the restructuring of a learning organization and promotes the knowledge management systems and stabilizes the organizational structure. Organizations should capitalize a set of technological skills as part of their organizational relevant capital.

Based on the practice theory of Bourdieu, this paper lights on the triad relation between knowledge sharing/organizational structure/technological capital through comparing between public/private management modes. A theoretical framework is proposed to overlap the ambiguity of the relation between knowledge and power.

This study aims to define, classify and interconnect the wide range of known entrepreneurial abilities with terms such as skills, capabilities and competencies, which have been used inconsistently within the entrepreneurial field.

This investigation is based on a systematic literature review and strengthened by a meta-analysis equipped with a bibliometric study to assist the generation of outcomes with a quantitative investigation.

This study proposes an evolving entrepreneurial ability model which interconnects genetic and acquired skill types, capabilities and competencies and is equipped with an Entrepreneurial Skills Map essential to operate in the 21st century.

The proposed model is specific to the entrepreneurial field.

This study supports universities and government agencies for the development of educational programs to prepare current and future entrepreneurs to match the changes in the new environment that has emerged with the COVID-19 pandemic.

This research contributes to the entrepreneurship research domain by shedding light on the inconsistent use of non-standardised terminologies and providing an entrepreneurial model and updated skills map to guide scholars to frame research in the post-COVID era with more clarity.