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This study delves into the aspirations of young individuals to assume leadership roles in their family businesses. It assesses the impact of family embeddedness and the perception of positive family business performance on succession intentions and investigates potential gender differences in this context.

Hierarchical multiple regression was determined for utilizing a sample of university students in seven countries from the Middle East–North African (MENA) region (N = 3,908).

The present study’s findings suggest that embeddedness in the family business has a much stronger role in shaping the succession intentions than previously envisioned. Females are more inclined to take over the family business when they perceive that the family business is not performing well.

This study provides important insights into the dynamic of family business succession intentions and family embeddedness. By providing a better understanding of some of the key drivers of family business succession intentions, it enables families in the MENA region to develop better family plans to engage with their successors effectively.

This research seeks to investigate the impact of individual entrepreneurial orientation (IEO) and entrepreneurial exposure on new-venture gestation activities during COVID-19 pandemic.

This paper adopted negative binomial regression (NBR) modeling with a sample of Saudi female nascent student entrepreneurs (N = 1,032).

The research found that females' IEO is significantly and positively associated with how much progress they make in term of the number of activities they carried out in the new-venture gestation stage. Similarly, females who had high entrepreneurial exposure are more likely to commit to many activities and progress in the new venture. Therefore, those who have entrepreneurial experience perform better different new-venture gestation activities during the COVID-19 pandemic than those who have little or no experience.

Over a transformation of demographic variables and using NBR, this paper is the first paper in Saudi Arabia that develops and tests a theoretically based model linking the perceptual entrepreneurial orientation of nascent student entrepreneurs with objectives variables to the progress of new-venture gestation activities.

This study aims to empirically examine the influence of management control systems (MCSs) on knowledge acquisition from innovation failure (KAFIF), which further impacts empowerment, creativity and organizational innovation. This study argues that enabling an MCS positively influences KAFIF, whereas controlling the use of an MCS negatively influences KAFIF. Further, KAFIF positively impacts empowerment, creativity and organizational innovation.

This study aims to create a comprehensive stimulus–organism–response (S-O-R) framework. This framework includes an MCS (belief, interactive, boundary and diagnostic) as a stimulus, KAFIF as an organism and creativity, empowerment and organizational innovation as responses. The data were gathered using an online survey administered to a sample of 321 employees working in India’s micro, small and medium enterprises and analyzed using partial least squares structural equation modeling.

The results indicate that there is no correlation between belief control and the acquisition of knowledge from the failure of innovation, interactive control has a positive association with KAFIF and boundary control has no relationship with KAFIF. Diagnostic control has a significant negative association with KAFIF. Further, this study found that KAFIF positively associates with empowerment, creativity and organizational innovation.

This study is among initial studies that examine the influence of MCSs on KAFIF, which impacts empowerment, creativity and organizational innovation. Further, it helps be one of the initial literature on studying KAFIF rather than innovation success.

Social support has been identified as a valuable resource that could help entrepreneurs maintain goal directness in their endeavours and increase their life satisfaction. However, to date, scant research has examined the effect of perceived social support on life satisfaction during the transition from paid employment to self-employment. This paper uses the job demand resource model (JD–R) as a theoretical lens to investigate this relationship.

Drawing on the household income and labour dynamics in Australia (HILDA) survey, we use latent growth curve modelling (LGCM) to investigate the trajectories of entrepreneurs' perceived social support and life satisfaction (n = 1,303) up to five years after their transition into self-employment.

Results suggest that entrepreneurs experience a boost in life satisfaction in the transition phase, followed by a declining trend in the years that follow. We find that both the initial perception and the evolution of perceived social support are positively related to life satisfaction over time across gender groups. However, we find that females may benefit more from early social support soon after the transition into self-employment to forestall declines in life satisfaction over the long-term.

The generalisability of the research findings beyond the Australian context is undefined. Future research needs to examine to what extent these results can generalize to other samples within different cultural and institutional frameworks.

Since perceived social support is a strong buffering mechanism that helps mitigate job demands, entrepreneurs need to be proactive in building a strong network. Individuals who switch to self-employment should carefully map and build a strong social network that can help them weather the challenges and setbacks in their new job.

This study extends the JD–R literature by examining the transition into self-employment, considered an “active job” characterised by high demands and high decision latitude. LGCM modelling captures how both initial levels and changes in social support affect life satisfaction during entrepreneurship entry and over time.

The firms’ adoption and improvement of big data analytics capabilities to improve economic and environmental performance have recently increased. This makes it important to discover the underlying mechanism influencing the association between big data analytics (BDA) and economic and environmental performance, which is missing in the existing literature. The present study discovers the indirect effect of green innovation (GI) and the moderating role of corporate green image (CgI) on the impact of BDA capabilities, including big data management capability (MC) and big data talent capability (TC), on economic and environmental performance.

A time-lagged design was employed to collect data from 417 manufacturing firms, and study hypotheses were evaluated using Mplus.

The empirical outcomes indicate that both BDA capabilities of firms significantly influence green innovation (GI), which significantly mediates the relationship between BDA and economic and environmental performance. Our findings also revealed that CgI strengthened the effect of GI on economic and environmental performance. The empirical evidence provides important theoretical and practical repercussions for manufacturing SMEs and policymakers.

This study contributes to the literature on BDA by empirically exploring the effects of MC and TC on improving the EcP and EnP of manufacturing firms. It does so through the indirect impact of GIs and the moderating effect of CgI, thereby extending the Dynamic capabilities view (DCV) paradigm.

Digitalization is affecting business management and pushing for new strategies, innovative products, new ways to communicate with stakeholders and new channels. This phenomenon is unavoidable, and companies have to face it in a holistic and integrated way. One holistic and interconnected approach, when studying enterprise challenges, is represented by the business process management method, a fitting mechanism when digitalization needs to be amalgamated in business practices, enhancing the intellectual capital (IC), therefore, this study researches digitalization under business process lens, in a sample of small and medium enterprises (SMEs), that constitute an under-explored set, as regard digitalization, process management and IC. The research aims to explore the digital tools and business processes link and the related impact on performance, benefits and IC.

In exploring digitalization, a sample of Italian SMEs was scrutinized. The data were elaborated using two types of tests: (1) the binomial tests for the categorical questions and (2) the zeta test was used for quantitative variables. Furthermore, the partial least square (PLS)-SEM model was applied.

Findings reveal that some digital tools are more adopted in the sample analysed, and also some particular digital tools are more inclined to support certain business processes. Furthermore, not only performance benefits emerge, but also benefits in terms of better communication and faster decisions, supporting the decision making process of managers, also considering that business processes approach is one way to manage IC.

Thanks to the conducted research it is possible to make aware managers and owners of SMEs to consciously choose the right type of digitalization investments, without neglecting training programme, to realize the company digital transformation, providing a map and bearing in mind the value added creation, protecting their IC.

The paper's originality is represented by the contribution in opening the black box about digitalization, business process management and IC in small and medium companies.

Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises to set up healthcare technology start-ups. The study also observed the perceived effect of these challenges on firms' performance and cost structure over time. Using the theory of behaviour under uncertainty, the study revealed multiple systemic, sector-related, human and implementation barriers that hinder business growth and lead to uncertainties for health-tech start-ups.

Using a grounded theory approach, the study collected the views of 51 health tech start-ups in the UK using an online participants pool. The data was collected using qualitative data techniques in the form of open-ended essays, and a content analysis using thematic coding process was conducted. The questions centered around the different institutional uncertainties or barriers while setting up or running a healthcare start-up.

The study revealed several macro-, meso- and micro-level barriers these technology-based enterprises perceive in the healthcare industry. These are recognised as systemic barriers, such as lack of funding and procedural issues; sector-related barriers, such as market-related impediments; human barriers, including psychological barriers and resistance to new technology; and implementation barriers, such as operational and personnel issues.

The study used qualitative, open-ended essay techniques to collect the data. Future studies may use a mixed-methods approach to provide holistic insights. The study is conducted in a single developed country, the UK. Future work may expand these findings by comparing developed market challenges with those of emerging markets and by assessing the viewpoints of healthcare start-ups.

This research will assist the healthcare sector and government understand health tech start-up hurdles and uncertainty. Policymakers must assist start-ups and encourage entrepreneurial innovation. Regulating and enabling policies will help. The paper examines start-ups' macro, meso and micro uncertainties. Policymakers promoting sector entrepreneurship must consider these barriers while designing policy guidelines.

The study contributes to the existing literature on technology start-ups, particularly in the healthcare industry, and identifies significant barriers these start-ups face. The study synthesizes research on health-tech start-up uncertainty and bridges the gap between theory and practice by applying empirical findings.

Faced with the existential threat of COVID-19, the College of Business Administration (CBA) at Princess Nourah Bint Abdulrahman University (PNU) decided to work toward the dual goals to achieve accreditation and an effective social and educational response to the pandemic. CBA’s quality improvement process was implemented synergistically with Seligman’s (2011) PERMA well-being model, namely positive emotions, engagement, relationship, meaning, and accomplishment/achievement. The case study methodology, which was based on direct observations, faculty and students’ interviews, surveys, feedback, documents, and archival data records, allowed to capture the context and lived reality of all the participants in QAA processes. Results showed that quality improvement was facilitated through three domains: (1) governance and academic leadership, (2) teaching and learning, and (3) digitalization and technology. Within each domain, specific programs, activities, human resources, and networks were enabled through a framework based on the PERMA well-being model. As a result of this hybrid QAA well-being implementation process, CBA achieved NCAAA accreditation for its offered programs, while experiencing high levels of well-being and commitment to teaching and learning by the staff members and students. The description of CBA’s accreditation journey might be insightful for other higher education institutions (HEIs).

The ongoing economic impact of the global COVID-19 pandemic upon national and international economies has provided a novel set of challenges and barriers for organisations; particularly for small and medium enterprises (SMEs). This has led to an increased focus on sustainable decision-making and long-term survival and growth strategies, such as internationalisation opportunities, for SMEs during obscure times and fluctuating economies. Thus, examining how SMEs within ambiguous economies are adopting innovative decision-making to continue to sustain and grow their enterprises provides a vital perspective and understanding of not only enterprise survival but enterprise growth during times of economic uncertainty. This chapter proposes a conceptual framework that explores internationalisation opportunities through an intersectional lens. The framework depicts that intersectionality as an enabler during ambiguous times for Maldivian women entrepreneurs generates innovative decision-making towards internationalisation as part of sustainable growth practices. The conceptual framework offers theoretical implications for empirical studies of an inductive or deductive nature and offers pragmatic importance for women entrepreneurs considering internationalisation through sustainable growth during obscure times and fluctuating economies. This chapter contributes to the growing body of knowledge in the field of international entrepreneurship, particularly innovative decision-making, and sustainable growth through internationalisation opportunities of women entrepreneurs, whilst advancing our understanding of gender and entrepreneurship studies. Studying innovative decision-making and sustainable growth practices of women entrepreneurs additionally provides a new perspective on intersectional works within entrepreneurial growth during uncertain times.