Search results

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.

This study explores the complex relationship between a founder’s social identity and the Dark Triad traits. It aims to provide a more nuanced understanding of entrepreneurial behaviours and their subsequent impact on enterprise performance and founders’ well-being.

Drawing inspiration from the animal kingdom, we identify three entrepreneurial archetypes: Lions, Bees, and Chameleons, using latent profile analysis (LPA) of 28,853 active entrepreneurs. Lions, embodying a balanced competitiveness, exhibit a strategic blend of dominance and communal living. As collaborative visionaries, Bees showcase a strong inclination towards teamwork and purpose-driven collaboration. Chameleons, the strategic individualists, reveal adaptability and calculated approaches to competition.

The study reveals that these archetypes impact well-being and performance outcomes differently. Lions, Bees, and Chameleons contribute uniquely to entrepreneurial success, highlighting the diverse factors influencing business performance and individual satisfaction.

By exploring the multifaceted nature of entrepreneurial behaviour, this research offers valuable insights into how social identity and personality traits shape entrepreneurial success. Identifying distinct archetypes enriches the current understanding of entrepreneurial dynamics, providing practical implications for individuals and businesses aiming to thrive in competitive environments. Additionally, the findings hold significant implications for policymakers seeking to foster a conducive environment for entrepreneurship and innovation. Understanding the unique characteristics of different entrepreneurial archetypes can inform the design of policies and programs tailored to support diverse entrepreneurial ventures and enhance overall economic growth.

The purpose of the this study is to discover the impact of practices of knowledge management, intellectual property protection and management innovation on entrepreneurial leadership, which in turn leads to sustainable growth in small and medium-sized enterprises.

The data was collected from 292 small and medium-sized businesses (SMEs) in the USA using a cross-sectional survey. To evaluate the study hypotheses and analyse the data, structural equation modelling was used. SMART-PLS software was used for both confirmatory factor analysis and structural analysis.

The work has significantly contributed in revealing that knowledge management practices, management innovation and intellectual property protection have a substantial and constructive impact on entrepreneurial leadership, which in turn leads to sustainable growth in SMEs.

The study findings recommend that SMEs must focus on knowledge management practices, intellectual property protection and management innovation to nurture entrepreneurial leadership, which can lead to sustainable growth. SMEs can benefit from investing in knowledge management practices, protecting their intellectual property and innovating their management practices to achieve sustainable growth. Also, the absorptive capacity of an SME can help it to aggravate the impact of the above factors and lead them to sustainable growth faster.

The current work studies the association between knowledge management practices, intellectual property protection, management innovation, entrepreneurial leadership and sustainable growth in SMEs, thus contributing to the literature. The study provides insights into the factors that can nurture entrepreneurial leadership and contribute to sustainable growth in SMEs, which can inform policy and practice in the field of entrepreneurship.

Green innovation, digitization and sustainability have attracted considerable attention in recent years due to their transformative potential in organizations. This study, grounded in the resource-based view, explores the intricate relationship among green entrepreneurial orientations, sustainability-oriented innovation, and the circular economy, employing green knowledge management as a pivotal mechanism.

The proposed model and hypotheses were tested using Partial Least Squares (PLS) structural equation modeling (SEM) with a sample of 274 valid questionnaires collected from manufacturing firms in Saudi Arabia.

Results unveil positive relationships between green entrepreneurial orientations and sustainability-oriented innovation, as well as the circular economy, along with a positive mediation of green knowledge management in these relationships. In addition, these relationships exhibit heightened strength with increased levels of digital transformation.

The contributions of this research extend to both theoretical and practical realms, offering valuable insights for startups and traditional businesses as they explore the landscape of green innovation and digitization.

The popularity of Management Control Systems (MCS) has increased due to rising uncertainty in business operations. They help companies implement strategies, manage information and incentivize managers with common goals. Therefore, the research aims to take stock of the evolution of studies on MCS adoption, identifying trends and future avenues.

While a few systematic literature reviews have investigated the implications of MCS adoption amid specific contexts, a comprehensive bibliometric analysis of the whole research stream is lacking. Consequently, our study analyzes relevant scientific literature on the topic of MCS from 1970 to 2022, through the use of VOSviewer, R Bibliometrix and Latent Dirichlet Allocation to visualize the bibliometric results.

The study provides a comprehensive overview of key emerging topics in MCS literature and the ways in which they have developed over the decades, along with a structured research agenda built upon the literature gaps found amid current and past scientific production. It does so by analyzing scientific production from multiple bibliometric aspects and advanced text-mining techniques to extract common emerging themes from the dataset.

To the best of the authors’ knowledge, no attempt has yet been made to synthesize MCS literature through a bibliometric review. The bibliometric perspective on MCS enhances scholars' understanding of the historical path and future trends of the literature stream, while helping practitioners update existing MCS conceptualizations in light of contemporary changes.

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.