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The purpose of this article is to show (1) how social innovations are created through co-production in social enterprises in Finland and (2) how enabling ecosystems for the creation of social innovations can be enhanced by the government.

This study is a descriptive case study. The data comprises focus group interviews that were conducted during a research project in Finland in 2022. The interviewees represented different social enterprises, other non-profit organisations and national funding institutions.

Social enterprises create social innovations in Finland through co-production, where service innovation processes, activism and networking are central. Also, to build an enabling ecosystem, government must base the system upon certain elements: enabling characteristics of the stakeholders, co-production methods and tools and initiatives by the government.

The authors address an important challenge that social enterprises struggle with: The position of social enterprises in Finland is weak and entrepreneurs experience prejudice from both the direction of “traditional” businesses and the government which often does not recognise social enterprise as a potential partner for public service delivery. Nonetheless, social enterprises create public value by contributing to the co-production of public services. They work in interorganisational networks by nature and can succeed where the traditional public organisations and private businesses fail.

Employee training and learning have transformed over the years. The movement from classroom training to the blended format represents the magnitude of this evolution. This has placed much attention on self-regulated learning. This study aimed to understand the individual and organizational mechanisms that sustain the formal learning process in organizations. It explored the goals the organizations and employees strive to achieve by investing in learning. Through this, the authors investigated how technology assistance makes learning more goal-oriented, despite the possibility of different goals for different stakeholders. They also examined how person-job fit can be achieved in employee training.

The study adopted a grounded theory-based inductive approach using a qualitative inquiry that used in-depth interviews of employees working in the Indian IT/ITES sector. This sector is knowledge-intensive and engages in constant skill development. A content analysis of the interview transcripts unraveled the most relevant themes from the participants' discussion.

Individual learners use dimensions of self-regulated learning to set and achieve goals such as better performance and career development. On the other hand, organizations use learning support mechanisms such as better access and flexibility to direct employee learning behavior to achieve organizational goals. Focusing on goal congruence leads to better achievement of results. Goal congruence also implies good person-organization fit.

This research established how aligning individual and organizational mechanisms can help achieve training goals that ultimately contribute to organizational performance. The study differentiated itself by investigating training goal setting and goal achievement at two levels – organizational and individual – using a qualitative approach. It also showed how goal congruence is vital in improving organizational performance and how technology-enabled training practices rely on self-regulated learning and help achieve goal congruence.

The empirical study of factors related to digital transformation (DT) in the banking sector is still limited, even though the importance of the topic is universally evident. To bridge that gap, this paper aims to explore the role of digital leadership (DL), innovative culture (IC) and technostress inhibitors (TI) to support engagement for improved digital innovation (DI). Based on the literature, these variables are crucial aspects of digitalisation, even though there is no agreement on their conclusiveness.

This quantitative study tested a new conceptual model using survey data from five major banks in Libya. Partial least squares structural equation modelling was used to analyse the data from the 292 usable responses.

The results showed that DL and IC positively affect DI. Techno-work engagement (TE) mediated the relationship between leadership, culture and innovation. TI played a significant moderating role in leadership, culture and engagement relationships.

The research findings highlight critical issues about how leadership style and fostering organisational support in the banking sector can enhance DT. Leaders must demonstrate a commitment to long-term resource allocation to avoid possible negative effects from digital stress while pursuing DI through work engagement.

The study suggests that fostering organisational support can enhance DT in retail banks, potentially leading to improved customer experiences and increased access to financial services. These programs will help banks contribute to societal and economic development.

This timely study examines predictor mechanisms of innovation in retail banking that resonate within the restrictions of organisational and DI frameworks and the social exchange theory. Exploring the intervening effect of TE in the leadership, culture and innovation associations is unprecedented.

This study aims to investigate the relationship between strategy intent (product-service innovation intention) and outcome (product-service innovation outcome), and the role that external sources of innovation play in influencing this relationship.

Using data obtained from the community innovation survey, we apply a logit regression to a sample of 1,419 Portuguese firms. By examining the moderating effect of open innovation breadth, we assess how the relationship between differentiation intent and outcome is contingent upon the involvement of external stakeholders.

Our findings reveal that the relationship between differentiation intent and outcome is contingent upon the moderating effect of open innovation breadth. Our analysis suggests that the negative influence of different sources of innovation can be addressed by adopting a paradox lens.

This research provides valuable insights for managers. By simultaneously pursuing a differentiation strategy and engaging in collaboration with external sources, firms may compromise their ability to effectively differentiate their offer. Managers should consider the potential tensions arising from internal and external stakeholder relationships to optimize their innovation strategies.

This study contributes to the existing literature by shedding light on the role of external innovation sources in influencing the relationship between differentiation intent and outcome and the importance that information systems may have in this relationship. By exploring the moderating effect of open innovation breadth, we provide a nuanced understanding of how firms can navigate organizational tensions and leverage innovation for competitive advantage.

This study proposes an analysis of the performance of companies that have assumed the responsibility of facilitating the digitalization of economic activities. Because of their potential to accelerate digitization, these companies have been financially supported. The monitoring of the performances recorded by these companies, including the evaluation of the impact of different determining factors, meets both the needs of the financiers (concerned with the evaluation of the efficiency of the use of nonreimbursable financing) and the needs of continuous improvement of the activities of the companies in the field.

The study assesses performance dynamics and the impact of its determinants. The model allows achieving a simplified vision of performance and its determinants, supporting decision-makers in the management process. The construction of an estimation model based on the multiple regression method was considered. Robustness tests were performed on the results, using parametric and nonparametric tests.

The results of the analysis at the level of the extended sample indicated that, during the analyzed period, the economic and commercial performances decreased, and significant influences in this respect include the financing structure, sales dynamics and volume of receivables. The analysis at the level of the restricted sample confirmed these interdependencies and provided additional evidence of the impact of other determinants.

The study contributes both to performance research and to the assessment of the prospects for accelerating digitalization in support of economic activities. Since the empirical research was carried out on a sample of Romanian companies that provide services in information technology, which accessed nonreimbursable financing, the representativeness of the results is limited to this sector. For the analyzed sample, the study provides support for improving performance.

The results of the study prove to be useful from a microeconomic and macroeconomic perspective as well, as they provide evidence on the performance of companies that have implemented information and communication technology (ICT) projects and on the efficiency of the use of non-reimbursable funding dedicated to business support.

The study fills the literature gap regarding the performance of companies that have developed ICT projects and received grant funding for the implementation of these projects. The literature review indicated that there are few studies conducted on these companies, which did not include Romanian companies.

The study examines the mediating effect of knowledge management (KM) in the relationship between the high-performance organisation (HPO) framework and high performance in financial institutions (FIs) in Uganda. The paper aims to develop a framework that promotes high performance in the FIs.

The conceptual model was tested on a sample of 28 financial instituitions using structural equation model.

The findings revealed that the high-performance framework is significantly related to high performance and KM is related high performance. KM mediates the relationship between the high-performance framework and high performance.

The findings revealed that the high-performance framework is significantly related to high performance and KM is related high performance. KM mediates the relationship between the high-performance framework and high performance.

The findings revealed that the high-performance framework is significantly related to high performance and KM is related high performance. KM mediates the relationship between the high-performance framework and high performance.

This study makes several empirical and theoretical contributions, addressing the gap in the literature about the role of the HPO framework in strategic management. This study tests the relationship between the HPO and the firm's performance by taking the mediating effects of KM. The designed model highlights a significant organisational performance approach that can influence the finance sector positively.

Purpose: This research aims to provide a conceptual framework that will help organisations address the skill shortages and gaps in their current business model. The study also aims to fulfil the literature gap by offering three strategies that can help firms across industries in the international arena to upskill and reskill their talent pool.

Design/Methodology/Approach: Using real-world cases and statistics, the research offers a conceptual framework along with the three strategies, that is, revisiting skills requirements, continuous training and development, and partnership across ecosystems for addressing the critical challenge of skill gap and shortage that is prevailing across industries today.

Findings: The findings of the research show that by involving employers, employees, and policymakers, an effective conceptual framework can be made that will help organisations to serve their target customers more effectively and efficiently. The study also results in the formation of three strategies to help the company address the talent shortage and gap in their organisation.

Research Limitations/Implications: The research has wide implications for a variety of stakeholders and especially for the companies, employees, and policymakers. This will prove instrumental in handling the shortcoming of the talents prevailing in today’s business environment.

Originality/Value: The study is unique in offering a framework and giving three operational strategies: revisiting skills requirements, continuous training and development, and partnership across ecosystems for building and managing the talent pool in the company.

The applications of Artificial Intelligence (AI) in various areas of professional and knowledge work are growing. Emotions play an important role in how users incorporate a technology into their work practices. The current study draws on work in the areas of AI-powered technologies adaptation, emotions, and the future of work, to investigate how knowledge workers feel about adopting AI in their work.

We gathered 107,111 tweets about the new AI programmer, GitHub Copilot, launched by GitHub and analysed the data in three stages. First, after cleaning and filtering the data, we applied the topic modelling method to analyse 16,130 tweets posted by 10,301 software programmers to identify the emotions they expressed. Then, we analysed the outcome topics qualitatively to understand the stimulus characteristics driving those emotions. Finally, we analysed a sample of tweets to explore how emotional responses changed over time.

We found six categories of emotions among software programmers: challenge, achievement, loss, deterrence, scepticism, and apathy. In addition, we found these emotions were driven by four stimulus characteristics: AI development, AI functionality, identity work, and AI engagement. We also examined the change in emotions over time. The results indicate that negative emotions changed to more positive emotions once software programmers redirected their attention to the AI programmer's capabilities and functionalities, and related that to their identity work.

Overall, as organisations start adopting AI-powered technologies in their software development practices, our research offers practical guidance to managers by identifying factors that can change negative emotions to positive emotions.

Our study makes a timely contribution to the discussions on AI and the future of work through the lens of emotions. In contrast to nascent discussions on the role of AI in high-skilled jobs that show knowledge workers' general ambivalence towards AI, we find knowledge workers show more positive emotions over time and as they engage more with AI. In addition, this study unveils the role of professional identity in leading to more positive emotions towards AI, as knowledge workers view such technology as a means of expanding their identity rather than as a threat to it.

The purpose of the paper is to analyze the supply and demand of marketing and communication consulting services and evaluate actual and perceived gaps.

The paper uses two different datasets to assess the gap. The supply database comes from desk research carried out in the province of Bergamo (n. 159 consulting agencies). The demand dates are the results of 100 structured interviews with local companies that requested marketing and communication consulting services both inside and outside the province.

Findings show that there is no significant shortage in local service supply. Nonetheless, a limited gap exists between the provision of specific services and their overall quality. Conversely, the perceived gap is wider, leading to an impression of scarce availability – a notion disproven by the analysis of the actual supply.

The study suggests that local agencies may overcome their “myopic” attitude and need to increase their visibility, competencies and expertise by investing in these areas and improving networking.

There are no previous studies that compare the supply and demand for marketing and communication consulting services. The paper also provides insights into actual and perceived gaps in a hypercompetitive environment.

This study aims to assess the knowledge-sharing risks and controls in the government sector from the knowledge workers’ perspective.

This qualitative study combines two techniques. First, the study uses the Delphi technique to identify the risks and rank them. Second, the study used a follow-up interview approach to identify the needed controls to mitigate these identified risks.

The Delphi study revealed the top knowledge-sharing risks are related to organizational and individual risks. Furthermore, the study identified the top controls that needed to mitigate these identified risks from technology, process and people dimensions. The study findings suggested that implementing controls on people and processes is the most important, and the focus must be on them, especially in the government sector.

The study offers several practical implications for the government sector to establish a knowledge-sharing risks management strategy. Such study has been given little attention in previous research, especially in developing countries.