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The purpose of this paper is to analyse the determinants of financial inclusion among women-owned informal enterprises in India.

The study is based on a primary survey of 321 informal enterprises. The data has been collected through a structured questionnaire. A chi-square test has been used to examine the significant association between the characteristics of informal enterprises and their owners and financial inclusion. A logistic regression model has been developed to analyse the determinants of financial inclusion among women-owned informal enterprises.

A significant and negative association has been found between business duration and entrepreneurs’ experiences with financial inclusion. In addition, the chi-square test shows a significant association between resource capability, use of ICT by enterprises and financial inclusion. Further, logistics regression shows that duration of business, entrepreneurial experience, resource capability in terms of machinery and equipment use, and ICT are significant determinants of financial inclusion among women-owned informal enterprises.

There are several practical implications for national policymakers and other stakeholders, such as banks and international bodies working on financial inclusion. It is suggested that while designing the policy for financial inclusion among woman-owned informal enterprises, it should ensure that experience and older woman entrepreneurs are included in financial inclusion schemes.

There has been very few research on financial inclusion in woman-owned businesses. However, no research has been conducted on the financial inclusion of women-owned informal businesses. This study fills a gap by investigating the factors that influence financial inclusion in women-owned informal businesses.

This study explores the concept of “workplace survivor syndrome” (WSS) using bibliometric analysis and literature review, thereby identifying the avenues for future research in business management.

The study adopted a methodological combination of bibliometric analysis and literature review. The methodological order is as follows: using the Scopus database and identifying 118 articles from ABDC listed journals, performance analysis by VOS viewer (citation analysis), science mapping analysis by Biblioshiny (visualisation and graphical presentation), and finally, the content analysis of the best 40 articles with a minimum of 50 citations and without any year restriction.

The bibliometric analysis reveals the most influential authors, articles, journals, countries, publication trends, impactful articles, and impactful authors of workplace survivor syndrome research, along with popular keywords used in this area. The content analysis identified three themes: emotional, cognitive, and behavioural syndrome. The content analysis reported the central mechanism adopted in 40 articles, including theories, methodologies, variables, sample size, etc. Additionally, the study explored the positive reviews on WSS.

The study considered only the articles from the ABDC journal quality list for the review.

The article is persuasively the first research to provide the intellectual structure and comprehensive bibliometric analysis of workplace survivor syndrome.

With the remarkable capability to reach the public instantly, social media has become integral in sharing scholarly articles to measure public response. Since spamming by bots on social media can steer the conversation and present a false public interest in given research, affecting policies impacting the public’s lives in the real world, this topic warrants critical study and attention.

We used the Altmetric dataset in combination with data collected through the Twitter Application Programming Interface (API) and the Botometer API. We combined the data into an extensive dataset with academic articles, several features from the article and a label indicating whether the article had excessive bot activity on Twitter or not. We analyzed the data to see the possibility of bot activity based on different characteristics of the article. We also trained machine-learning models using this dataset to identify possible bot activity in any given article.

Our machine-learning models were capable of identifying possible bot activity in any academic article with an accuracy of 0.70. We also found that articles related to “Health and Human Science” are more prone to bot activity compared to other research areas. Without arguing the maliciousness of the bot activity, our work presents a tool to identify the presence of bot activity in the dissemination of an academic article and creates a baseline for future research in this direction.

We considered the features available from the Altmetric dataset. It can be exciting research to extract additional features about the authors of the article, the location of the publication, international collaboration and other demographic features of the authors to see the relation of these features with bot activity.

Since public interest in scientific findings can shape the decisions of policymakers, it is essential to identify the possibility of bot activity in the dissemination of any given scholarly article. Without arguing whether the social bots are good or bad and without arguing about the validity of a scholarly article, our work proposes a tool to interpret the public interest in an article by identifying the possibility of bot activity toward an article. This work publishes the models and data generated through the study and provides a benchmark and guideline for future works in this direction.

While the majority of the existing research focuses on identifying and preventing bot activity on social media, our work is novel in predicting the possibility of bot activity in the dissemination of an academic article using Altmetric metadata for the article. Little work has been performed in this specific area, and the models developed from our research give policymakers and the public a tool to interpret and understand the public interest in a scientific publication with appropriate caution.

This systematic literature review investigates the phenomenon of board multiple directorships and its implications for corporate governance and organisational performance.

The study adopts a systematic approach, which involves identifying and analysing relevant research papers on board multiple directorships. This study synthesises the latest research findings to gain insights into the determinants and consequences of multiple directorships. The sample literature was collected from the Scopus database from year 2000 till 2023.

The review reveals several key findings. Firstly, multiple directorships have both positive and negative implications for corporate governance. They can bring value by providing directors access to valuable information and resources from different companies, enhancing board functions and improving firm performance. However, there is a concern that overworked directors may not effectively fulfil their fiduciary responsibilities on any board, compromising their monitoring abilities.

This study contributes to the existing body of knowledge by comprehensively reviewing multiple board directorships research and their impact on organisations. This study synthesises the latest research findings and offers valuable insights into the determinants and consequences of this practice. Also, this study highlights the need for effective corporate governance practices that balance multiple directorships’ benefits and potential drawbacks. The study also identifies research themes and suggests potential areas for future research, contributing to the advancement of understanding in board multiple directorships.

Family farms, in which business and family life are intricately interwoven, offer an interesting context for better understanding the interdependence between the family and business system. Many family farms struggle to survive, and the succession process is a key period in which the low returns on investment become evident but also the emotional attachment of the family to the farm and the willingness to transfer the business to the next generation. We take the perspective of non-succeeding siblings since they are crucial for a successful succession but their role and position in this process is far from clear. This study will help to increase our knowledge of how fairness is perceived by non-successors and of the impact of perceived (in)justice on the family business system.

To analyze the effect on sibling relationships of an unequal outcome of the succession process, we choose the family farm context. We used interview data from multiple family members from several family farms in the Netherlands in different stages of succession. We utilized a framework based on justice theory to analyze perceptions of fairness among non-succeeding siblings. The central research question for this study is as follows: How do non-succeeding siblings perceive justice with regard to family firm succession?

The acceptance of the outcomes of the succession process by non-succeeding siblings is influenced by their perception of the fairness of the process itself and decisions made by the incumbent and successor with regard to these outcomes. It seems that stakeholders who occupy multiple roles with conflicting justice perspectives handle these contradictions with the help of an overarching goal—in this study, preserving the continuity of the family farm—and by prioritizing and adjusting the justice perspectives accordingly. The findings further show that both distributive justice and procedural justice are important and interact with each other.

Our study contributes to the literature by applying the theoretical framework of distributive and procedural justice to the context of family farm succession. This helps us to understand the position of non-succeeding siblings and their role and position in the succession process, which is important because sibling relationships have a significant impact on family harmony, with potential consequences for the business as well.

The purpose of this paper is to evaluate the perceptions of young agricultural entrepreneurs (agripreneurs, as a neologism, from now on), to understand what they consider as determinants in achieving entrepreneurial success in accordance with their type of farming.

This study uses primary data collected through a questionnaire, among 222 young agripreneurs who are active in lowland, semi-mountainous and mountainous regions of western Greece.

The approach used provided a clear evidence that perceived characteristics, such as internal funding and level of education/training, have a significant relationship with the perception of young agripreneurs’ success (YAS). Also, the perception of young agripreneurs for success varies by the type of farming. Crop production agripreneurs have a significantly higher need for participation in Producer Groups than in livestock production ones. Alternatively, gender, presents a significant relationship only with livestock production agripreneurs’ success.

The results of this study could help to design appropriate policy instruments and at the same time, promote and foster entrepreneurship on the one hand and provide suggestions for young agripreneurs to create sustainable new ventures on the other hand.

This study is original and valuable in the sense that provides the practical implications for understanding the entrepreneurial success and sustainability in a very critical segment of the agricultural sector.

This study investigates a novel educational strategy in science, technology, engineering and mathematics (STEM) teaching that integrates the engineering design process (EDP) as a framework. The strategy aims to help teachers explain STEM concepts in a simplified way. We employed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology to enable a systematic review that evaluated the effectiveness of this approach in improving both teaching and learning in STEM subjects.

In order to fulfill the objectives of the review, key data were extracted from each of the 400 articles that were reviewed from three databases: Scopus, ProQuest Central and EBSCO. Two types of analysis were conducted, namely descriptive analysis and literature classification.

This systematic review analyzed 44 articles on the EDP, focusing on 18 detailed studies mainly from ProQuest, SCOPUS and EBSCO. It revealed a limited focus on gender’s impact on EDP and a trend toward interdisciplinary use and integrated research approaches. The study underscores the need for further exploration of demographic influences and preparation programs in EDP across various disciplines, aiming to inform future research and educational policies.

The study’s value lies in its comprehensive assessment of engineering design (ED) research over the past decade, serving as a key reference point. It highlights progress in the field, consolidates findings and provides insights into the field’s evolution, guiding future research directions in ED.