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Nurturing the social identity approach, encompassing social identity theory and self-categorisation theory, this study aims to unravel the process of entrepreneurial identity construction among communitarians. It seeks to uncover the psychological mechanisms through which entrepreneurs categorise themselves as communitarians, highlighting the importance of community salience, trust and engagement.

This quantitative study comprises a sample consisting of 253 entrepreneurs. This research presents a sequential mediation model, drawing on salience, trust and engagement as antecedents of social entrepreneurial identity. By analysing the step-by-step mediation process, the research offers a nuanced understanding of how these community dynamics contribute to shaping entrepreneurial identity.

Entrepreneurs deeply connected to their communities do not naturally identify as communitarians; rather, it is the trust they build and the engagement they foster that shape their entrepreneurial identity. Communal bonds are not merely a backdrop for entrepreneurship but a driving force that moulds identity and action. This study evidenced that the salience of community positively influences community trust and engagement, which, in turn, enhances the development of entrepreneurial identity as communitarians. This underscores the role of social dynamics in shaping entrepreneurial attitudes, beliefs and behaviours.

This research confers a deeper understanding of how entrepreneurs construct and enact their identities, shedding light on the dynamic interplay between social context, shaping attitudes, cognition and behaviours. Exploring entrepreneurial identity among communitarians offers new insights into how social dynamics shape entrepreneurial actions. The study’s value extends to practical applications, offering guidance for policymakers and community leaders in fostering supportive environments that enhance entrepreneurship through greater community engagement and trust.

The purpose of this paper is to improve the air movement operations planning heuristic in the literature to generate better solutions in a shorter time period.

Through a rigorous design of experiments (DOEs), we make significant heuristic improvements by evaluating alternative modular methodologies and tuning heuristic parameters for two scenarios. This includes a new approach to considering refueling operations.

We find the fine-tuned heuristic averages a 33% objective improvement and 70% reduction in computation time over the heuristic with original parameters for one of the scenarios. Additionally, we analyze the heuristic's quality of solution over time.

Further analysis is required to generalize heuristic settings, which would require significant access to operational data or a portfolio of scenarios of interest.

Tuned heuristic parameters reduce the computation time from hours to minutes. This also makes it practically feasible to adjust parameters in the objective function to generate multiple courses of action (COAs) for a given instance.

This research provides novel vehicle assignment and routing heuristic improvement alternatives and demonstrates a DOEs-based heuristic tuning procedure.

Results from this study include a tool for financial literacy through the use of stock exchange websites and a framework for managing stock market information.

Prior research suggests that information can significantly influence judgment and decision-making. This paper aims to provide guidance on the characteristics of information disseminated on stock exchange websites and demonstrate the value of these platforms in informing and educating cyber-investors. Based on an exploratory study, the author proposes that information should be examined through three dimensions: nature, support and source. These dimensions are crucial in shaping the behavioral learning of cyber-investors. The study results include a tool for enhancing financial literacy via stock exchange websites and a framework for effectively managing stock market information.

This study identifies potential areas where improvements can be made by stock exchange Web designers and asset management platforms, particularly life insurance websites. Based on our results and to have a successful and attractive website for cyber-investors, designers must pay close attention to the layout of the website, its navigability, structure, colors and general ergonomics. A good match between these elements and the needs of potential investors will improve the conditions for finding relevant information on stock market websites. Furthermore, ease of access to information contributes to greater satisfaction and loyalty. This finding is in line with Eltkhtash (2013) and Syaeid (2019) who highlight the importance of ease of access to the site.

The exploratory study analyzes information available on four French stock exchange websites: Boursorama, Zonebourse, Abcbourse and Boursier.com. The study offers a set of knowledge that allows cyber-investors to make effective decisions using financial sources. This helps the consultation of stock exchange websites and enables to target the relevant information which provides a more accurate assessment of the evolution of financial assets. Based on our analysis, it appears that investors are more interested in certain criteria at the expense of other information.

This paper seeks to examine the interrelationship between inclusive business, private sector credit and economic welfare in Africa.

The study uses the seemingly unrelated regression, system generalized method of moments and bootstrap quantile regression in a panel of 54 economies in Africa, over the period 2006–2020.

The authors show that countries that provide more credit to the private sector have better incentives to enhance the ease of doing business. The authors find that ease of doing business and domestic credit to the private sector have a positive and significant effect on economic welfare at higher quantile levels. The authors find that ease of doing business substitutes private sector credit to boost economic welfare, while business account complements private sector credit to boost economic welfare. The authors show that the marginal effect of inclusive business on economic welfare is greater in countries that provide more credit to the private sector.

The implication is that countries that focus on developing their private sector (through credit expansion) should be able to encourage or facilitate the inclusion of businesses to achieve a sustainable economic welfare.

The implication is that policymakers should be able to develop their business environment through inclusive financing so as to build business confidence in the society.

The paper examines the interrelationship between inclusive business, private sector credit and economic welfare in Africa.

The pervasive issue of employee exploitation has surfaced as a salient ethical quandary within the context of modern-day workplaces, thereby demanding expeditious and imperative deliberation and redressal. This research endeavor aims to meticulously investigate the ramifications of employee exploitation on the proclivity to partake in the act of cutting corners within the workplace. This analysis encompasses the sequential mediating variables of negative emotions, namely resentment, anger, and frustration, as well as moral disengagement.

A purposive sampling technique and self-administered questionnaires were utilized in this study of 132 SME sector personnel. The current study is time-lagged in nature and uses the Amos software, the data were analyzed using exploratory and confirmatory factor analyses, as well as structural equation modeling.

According to the results, employee exploitation has a strong positive impact on cutting corners. This effect is mediated progressively by negative emotions (resentment, anguish, frustration), as well as moral disengagement. According to the findings, organizations should prioritize addressing employee exploitation to build a healthy work environment that promotes employee well-being and encourages employee voice.

This study’s novelty comes from its analysis of the sequential mediation of negative emotions, as well as moral disengagement, in the relationship between employee exploitation and cutting corners. The study’s findings add to the body of literature concerning management development, conflict handling, and employees’ attitudes and behaviors by offering a thorough grasp of the detrimental effects of employee exploitation on cutting corners as well as useful recommendations for businesses looking to promote productive workplaces.

This study investigates firms' innovation behaviour under environmental change. Therefore, it examines the effect of trade disputes on corporate technological innovation and how product market competition moderates this relationship.

This research tests the hypotheses using the fixed effects model based on panel data of publicly listed enterprises in China from 2007–2020.

The empirical results validate the positive association between trade disputes and corporate research and development (R&D) intensity as well as the U-shaped relationship between trade disputes and radical innovation. Additionally, the moderating effect of product market competition is verified: a concentrated market with less competition flattens the U-shaped curve of radical innovation induced by trade disputes; as the market becomes more concentrated and less competitive, the U-shaped relationship eventually turns into an inverted U.

First, this study contributes to the corporate innovation and trade dispute literature by expanding the environmental antecedents of technological innovation and the firm-level consequences of trade disputes. Second, this study enriches the theoretical framework of the environment–innovation link through an integrated perspective of contingency theory and dynamic capabilities view. Third, instead of the traditional linear mindset which had led to contradictory results, this study explores a curvilinear effect in the environment–innovation relationship.

This paper employs the Biondi and Lapsley (2014) accounting information transparency model to investigate whether effective transparency can be achieved through digital platforms for popular reporting. In order to address the limitations in previous research, which predominantly targets non-expert users, this is attained by focusing on the perception of local government auditors. By engaging auditors who are experts in accounting, the study aims to investigate if any cognitive biases in the design of online platforms could impact the achievement of a sophisticated understanding with shared meanings among citizens.

The study adopts an explorative and inductive approach, semi-structured interviews and an online survey among the Italian local governments’ Professional Auditors’ Association (ANCREL). Auditors assessed the OpenBDAP (https://openbdap.rgs.mef.gov.it/) platform in facilitating the comparison and analysis of the budgets and financial statements of Italian public sector organisations.

The results present a nuanced assessment of OpenBDAP, highlighting a general consensus on its ability to enhance the access and understanding of financial data and the appreciation of the utility of infographics in understanding financial data. Therefore, a clear challenge emerges in achieving active engagement of stakeholders. Despite expectations expressed during interviews with the Italian National Accounting Office regarding the design of custom APIs to meet user needs, our findings indicate the potential presence of cognitive biases in the design of the online platform as key obstacles.

By extending the application of the Biondi and Lapsley (2014) model on digital platforms for popular reporting to local government auditors, this study highlights the potential presence of cognitive bias in the design of online platforms that may impact the achievement of effective transparency, an aspect not previously identified in existing research. Finally, it suggests that these popular reporting platforms may evolve beyond mere transparency tools, assuming a broader role as potent learning instruments. This transformation could help to address the inherent complexity of accounting information, which is the real obstacle to achieving transparency.

This paper aims to explore the implications of algorithmic management on careers and employment relationships in the Nigerian gig economy. Specifically, drawing on labour process theory (LPT), this study provides an understanding of the production relations beyond the “traditional standard” to “nonstandard” forms of employment in a gig economy mediated by digital platforms or digital forms of work, especially on ride-hailing platforms (Uber and Bolt).

This study adopted the interpretive qualitative approach and a semi-structured interview of 49 participants, including 46 platform drivers and 3 platform managers from Uber and Bolt.

This study addresses the theoretical underpinnings of the LPT as it relates to algorithmic management and control in the digital platform economy. The study revealed that, despite the ultra-precarious working conditions and persistent uncertainty in employment relations under algorithmic management, the underlying key factors that motivate workers to engage in digital platform work include higher job flexibility and autonomy, as well as having a source of income. This study captured the human-digital interface and labour processes related to digital platform work in Nigeria. Findings of this study also revealed that algorithmic management enables a transactional exchange between platform providers and drivers, while relational exchanges occur between drivers and customers/passengers. Finally, this study highlighted the perceived impact of algorithmic management on the attitude and performance of workers.

The research presents an interesting case study to investigate the influence of algorithmic management and labour processes on employment relationships in the largest emerging economy in Africa.

The purpose of this study is to examine the state of the literature on knowledge sharing in open source software (OSS) development communities by examining the existing research and identifying the knowledge gaps and opportunities that can inform areas for future research.

A systematic literature review was conducted of literature published between January 2011 and February 2023. A total of 24 papers were identified and reviewed.

The findings reveal that the literature on knowledge sharing in OSS development communities from developing countries are limited. Additionally, there exists a limited focus on the development of frameworks to support knowledge sharing in OSS communities. The transient nature of OSS development contributors’ results in knowledge loss; thus, knowledge retention needs further investigation.

This study only included papers whose titles, keywords or abstracts included the search keywords “knowledge sharing” and “Open Source Software”. While the keywords were carefully applied, when applying the search, it cannot be ruled that some relevant studies might have been missed. The study was also limited to conferences and journal papers published in English. Despite the limitations, the study provides a systematic review of knowledge sharing in OSS communities and presents findings that can be useful to researchers and practitioners interested in this area.

The study provides a systematic literature review of published papers and identifies themes and future research areas on knowledge sharing in OSS communities. Additionally, this review offers insights into future research avenues for theory, content and context on knowledge sharing in OSS development communities.

The United Kingdom (UK) construction sector is transforming with increasing confidence in offsite construction (OSC) solutions following its accrued benefits. To sustain this momentum, exploring viable strategies to promote successful OSC implementation is a top priority. This paper aims to identify and establish interrelationships and logical dependencies of critical success factors (CSFs) for implementing OSC on building projects in the UK.

This study utilised a qualitative research approach. Following a critical review of extant literature, brainstorming and focus group sessions were carried out with OSC experts in the UK construction industry to identify and contextualise CSFs for OSC implementation. Interpretive structural modelling (ISM) and matrix impact cross-reference multiplication applied to a classification (MICMAC) were used to analyse and model the interrelationships between the contextualised CSFs.

The study identified eighteen CSFs for implementing OSC on projects in the UK positioned on seven hierarchical levels and clustered into dependent, linkage and independent factors. The top five CSFs established were client commitment, top management support, adequate OSC knowledge and experience, flexible leadership and flexible business models. These were located at the base of the ISM model, possessing the highest driving powers in facilitating the successful implementation of OSC on projects.

This study established a hierarchical interrelationship and the importance of the CSFs influencing the successful implementation of OSC. This would assist OSC clients and project teams in identifying and prioritising particular areas for strategic actions, which offer advantages in pursuing successful OSC project outcomes in the UK. Previous research on OSC implementation in the UK had not examined CSFs' interrelationships.