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This study examined the effect of emotional intelligence on graduate students' academic engagement in Ogun State, Nigeria. This study also explored the moderating role of digital learning support in the relationship between emotional intelligence and academic engagement.

A descriptive design was used, with purposive and convenient sampling methods were adopted to select the respondents. A total of 341 graduate students were drawn from different schools of postgraduate studies at selected universities in Nigeria. SmartPLS (3.0) was used to explore the relationships between the variables.

The results revealed that emotional intelligence dimensions significantly influence graduate students' academic engagement. In addition, digital learning support positively moderated the relationship between emotional intelligence and students' academic engagement. Further, to the empirical evidence from the findings, the study concludes that digital learning support moderates the relationship between emotional intelligence and students' academic engagement.

It is impossible to extrapolate the findings from the research to other industries in Nigeria. Practical Implication: It is recommended that the leadership of graduate schools pay attention to a digital learning support system that enhances emotional intelligence and will stimulate productive research activities, practical engagement and academic excellence.

This study contributes significantly by filling a research lacuna in strategic human resource management (HRM), personnel psychology and organisational behaviour literature within the context of private universities in Nigeria. This study advances the literature by demonstrating how digital learning support moderates the relationship between emotional intelligence and graduate students' academic engagement.

The study investigated which variables and family dynamics influence the entrepreneurship and succession process in the Italian ice cream sector. In light of the consequences of Covid-19, the research has identified the elements on which female leadership is based.

Data were collected using the qualitative approach by conducting semi-structured interviews at a homemade ice cream production organization.

Findings highlight that to pursue business longevity, one must maintain one’s family identity and values and, therefore, offer quality products. However, the company must know how to innovate to remain competitive and optimize its processes. All this is possible by creating a dialogue and transferring knowledge within the family business to strengthen and prepare future successors. The analysis of the family structure highlights how cultural family identity has privileged gender identity as a factor that has guided the development process since the first generation, in this case, allowing for expansion in terms of size and family. In addition, the results of the analysis highlighted two distinct scenarios within the same case study: the first emphasises the limits of the lack of management of a succession process; the second shows the openness of the organization to the introduction of innovations, expansion strategies and the entry of new partners outside the family.

This study contributes to the knowledge and understanding of how, in light of the pandemic, the resilience of these family businesses contributes to redesigning their internal governance system in favour of the second generation and effectively accelerating the succession process.

The COVID-19 pandemic compelled educational institutions to shift from classroom interactions to electronic learning (e-learning). This study uses eTAM with usability dimensions to examine the use of e-learning for core academic activities during the COVID-19 pandemic. Leveraging the switching value framework, it investigates students’ preference for extending the use of e-learning to extracurricular activities post-pandemic. The study also integrates eTAM and the switching value framework to conceptualize students’ e-learning usage behavior in a synchronous learning environment.

Structural equation modeling was used to test the proposed research framework using a cross-sectional design. Data were collected through a survey conducted at two premier management institutes with broad national representation in India.

The result revealed that emotional cost had a more significant impact on perceived switching value compared to learning, sunk and reduced performance costs. Also, perceived switching value had a stronger influence on e-learning than the eTAM factors. Interestingly, learning support negatively influenced perceived ease of use and usefulness.

The study provides evidence that while eTAM largely explains e-learning usage during the pandemic, perceived switching value significantly influences its extended use post-pandemic. Our study challenges the belief that eTAM factors influence the continuous use of e-learning post-pandemic. The study insights can guide educational institutions, educators and policymakers in expanding the application of e-learning beyond the pandemic.

Prior crowdsourcing literature has highlighted that communication among peers within the crowdsourcing community matters since it affects the solvers’ success. Particularly, previous scholars have focused on how the volume and the content of communications among solvers improve their creativity and likelihood of winning crowdsourcing contests. This study aims to understand whether, alongside these two communication dimensions, the linguistic style of solvers’ communications (i.e. how solvers write things) permits them to promote their qualities in seekers’ eyes and emerge from the crowd.

Empirically, we collected data from a sample of 1866 solvers within the community of the 99designs crowdsourcing platform to build an ad-hoc dataset and test our hypotheses by running an econometric analysis.

Our results show that by posting comments of moderate length and prudent complexity, characterized by positive language and an other-oriented perspective, solvers can signal their capabilities and skills to increase their likelihood of succeeding in crowdsourcing contests.

This research’s findings contribute to prior crowdsourcing literature, which has so far exclusively focused on the linguistic style used by seekers when drafting the requests for proposals of their competitions. Moreover, the paper offers practical guidance for both solvers and seekers, suggesting how to leverage peer communications in crowdsourcing contests.

This study aims to enhance the effectiveness of knowledge markets and overall knowledge management (KM) practices within organisations. By addressing the challenge of internal knowledge stickiness, it seeks to demonstrate how machine learning and AI approaches, specifically a text-based AI method for personality assessment and regression trees for behavioural analysis, can automate and personalise knowledge market incentivisation mechanisms.

The research employs a novel approach by integrating machine learning methodologies to overcome the limitations of traditional statistical methods. A natural language processing (NLP)-based AI tool is used to assess employees’ personalities, and regression tree analysis is applied to predict and categorise behavioural patterns in knowledge-sharing contexts. This approach is designed to capture the complex interplay between individual personality traits and environmental factors, which traditional methods often fail to adequately address.

Cognitive style was confirmed as a key predictor of knowledge-sharing, with extrinsic motivators outweighing intrinsic ones in market-based platforms. These findings underscore the significance of diverse combinations of environmental and individual factors in promoting knowledge sharing, offering key insights that can inform the automatic design of personalised interventions for community managers of such platforms.

This research stands out as it is the first to empirically explore the interaction between the individual and the environment in shaping actual knowledge-sharing behaviours, using advanced methodologies. The increased automation in the process extends the practical contribution of this study, enabling a more efficient, automated assessment process, and thus making critical theoretical and practical advancements in understanding and enhancing knowledge-sharing behaviours.

This study investigated leaders’ decision-making during crises. Using grounded theory research, we explored whether leaders’ use of either individualistic or collectivistic decision-making styles is based on the context of a crisis. In addition, the authors looked into the components of building leaders’ efficacy during a crisis event and gauged their attitudinal and behavioral reactions to the crisis.

The authors conducted interviews with 30 C-suite executives during the first wave of the COVID-19 pandemic to determine their responses to crises. The authors then used open, axial, and selective coding to examine their data, which was then extracted for representative themes and overarching dimensions. In total, The authors received 12 major themes largely summarizing into 6 overarching dimensions – context of decision-making, leaders’ efficacy, individualistic approach to decision-making, collectivistic approach to decision-making, process of decision-making, and outcomes.

The research presents a decision-making framework clearly bifurcating situations with the need for individualistic and collectivistic decision-making. While, a high level of urgency and scarce resources encouraged leaders to adopt an individualistic approach in which most of the decisions were intuition-based and only high-level stakeholders were involved, the less time urgent and uncertain situation allowed leaders to put significant effort into building their own knowledge systems and involving others. In addition, leaders’ efficacy is understood in terms of their attitudes, readiness and reactions, which further elaborated upon their knowledge systems to allow them to excel in decision-making irrespective of the approaches they chose.

The research has implications for leaders in the decision-making roles to be effective during both individualistic and collectivistic decision-making.

This paper investigates the influence of intellectual capital (IC) efficiency and its components – human capital efficiency (HCE), structural capital efficiency (SCE) and capital employed efficiency (CEE) – on the growth paths of small and medium-sized enterprises (SMEs) and their likelihood of becoming high-growth firms (HGFs).

Drawing on the resource-based view (RBV), our study reveals a positive relationship between IC efficiency and the likelihood of becoming HGFs. Using a longitudinal dataset of 554,076 firm-year observations corresponding to approximately 79,158 European SMEs from 2012–2019, our study employs probit regression to examine the impact of IC efficiency on the probability of becoming an HGF. To investigate the impact of IC efficiency across the growth rate distribution, we conduct further analyses via generalized least squares.

The results show that IC efficiency positively influences the growth paths of small entrepreneurial ventures and their likelihood of experiencing high-growth episodes.

For practitioners, the findings underscore the importance of investing in IC to enhance the growth process of entrepreneurial firms and increase their likelihood of achieving HGF status. Investments in IC can maximize growth potential and competitiveness, informing strategic decision-making.

Policymakers should consider the critical role of IC in promoting SME growth and formulate policies that encourage the development of IC among entrepreneurial firms. Such initiatives can stimulate economic growth, innovation and job creation across European economies.

This study contributes to the literature by focusing on entrepreneurial firms and examining how IC efficiency drives their transition to HGF status. This study provides empirical evidence across several European contexts over an extended period, emphasizing the role of IC efficiency in shaping the growth paths of entrepreneurial firms.

Drawing on two competing theories, the online disinhibition effect and communication privacy management, this study explores the antecedents of cyber harassment and the mediating and moderating role of digital citizenship on cyber harassment among adults.

To ensure the quality of the data collected, participant recruitment was conducted using two panels: Qualtrics and Cloud Research. The sample comprised 262 participants who were USA residents aged between 18 and 87 years who use the Internet regularly. Additionally, the survey required a balance of participants across racial and educational levels. The survey was drawn from items for which reliability and validity indexes have been tested and confirmed in prior disparate studies.

Results show that digital citizenship is a significant moderator in the relationships between disposition to value web privacy, perceived online disinhibition and cyber harassment. Digital citizenship behavior mediates the relationship between perceived online disinhibition and cyber harassment but does not mediate the relationship between disposition to value privacy and cyber harassment.

The results of this study broaden the understanding of digital citizenship as a behavior modification for cyber harassment, specifically among adult Internet users. Further, we seek to bring together two streams of research that have previously been studied separately: the literature on the antecedents of perceived online disinhibition and disposition to value web privacy concerns.

This study aims to examine the mediating role of social influence on the relationship between key predictors of E-pharmacy adoption among young consumers based on the unified theory of adoption and use of technology (UTAUT).

This study employs a quantitative correlational research design. Based on cluster sampling, data was collected from 306 university students from three public universities in southwestern Nigeria. Data was analysed using partial least square structural equation modeling.

The primary determinant driving the adoption of e-pharmacy is performance expectancy. Social influence plays a partial mediating role in linking performance expectancy to e-pharmacy adoption. In contrast, it fully mediates the relationship between effort expectancy, facilitating conditions and the adoption of e-pharmacy services.

This study provides theoretical clarity on recent issues within the UTAUT framework. Findings highlight the complexity of how social factors interact with individual beliefs and external conditions in determining technology acceptance.

Research includes information relevant to access the impact of e-pharmacy services on healthcare accessibility, affordability and quality in developing countries.

The findings extend the adoption of technology literature in healthcare and offer a new understanding of adoption dynamics. The results emphasize the importance of performance expectancy in driving e-pharmacy adoption, providing a clear direction for stakeholders to enhance service quality and user experience of e-pharmacy. Additionally, the mediating effect of social influence highlights the significance of peer recommendations, celebrity endorsements and social media campaigns in shaping consumer adoption of e-pharmacies among young people.

This chapter focuses on the conservative Heritage Foundation's “Project 2025” and especially its comprehensive Mandate for Leadership, which provides a detailed plan for fundamental policy and administrative changes to be instituted in a Trump second term. It advocates an unparalleled concentration of executive power, elimination of the independence of the civil service and Department of Justice from the office of the president, and institution of permanent dominance of Trumpian conservatism. The specific focus is on the Mandate's proposed antienvironmental policies, which are weaved throughout the document and are designed to roll back sweepingly previous climate-change and environmental protection policies. Stressing maximal usage, production, and export of fossil fuel, the Trumpian “energy dominance agenda” is in polar contradiction to climate science policy aimed at decarbonizing the economy and society and averting catastrophic climate change and a “Hothouse Earth.” The Mandate's postfactual discourse combined with its advocacy of an all-powerful president and conspiratorial vision of the “woke” left as public enemy has definite protofascist overtones.