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The purpose of this study is to investigate whether business growth intention (BGI) and entrepreneurial motivations enhance the explanatory power of the theory of planned behavior (TPB) to predict environmental intention (EI) among nascent entrepreneurs.

In the context of nascent entrepreneurship, the authors collected data from 193 nascent entrepreneurs in France. To test the hypotheses, stepwise multiple regression was performed.

The results show that BGI has a positive influence on EI. This indicates that it is possible for French nascent entrepreneurs to plan the simultaneous pursuit of business growth and environmental goals. However, entrepreneurial motivations have a mixed effect on EI. If necessity motivations negatively influence EI, opportunity motivations have no significant effect on the latter.

To the best of the authors’ knowledge, this research is among the first to extend the TBP model with additional factors, namely, BGI and necessity/opportunity motivations, to study EI. Moreover, the extended TBP model is validated in the under-research context of nascent entrepreneurship.

This study aims to examine the perceptions and opinions of relevant stakeholders regarding entrepreneurship opportunities and growth in the Gilgit-Baltistan (GB) province of Pakistan. Specifically, it focuses on the role of special economic zones (SEZs), such as Maqpondass SEZ and the China–Pakistan Economic Corridor (CPEC), in fostering nascent entrepreneurship (NE) and promoting regional development.

The study employs ordered logistic regression to estimate the relationship between various independent variables and nascent entrepreneurship (NE). The independent variables include awareness of CPEC (AAC), awareness of Maqpondass SEZ (AAMEZ), SEZ incentives (SEZInc), regional market competitiveness (RMC), loan availability (LA) and education and experience (EE).

The findings indicate a robust positive relationship between SEZ-based industries and the growth of local small businesses and enterprises in Gilgit-Baltistan. Furthermore, the study suggests that government incentives, access to finance, skill development, relevant knowledge, and connections with local businesses facilitate the establishment of new ventures.

The study underscores the importance of focusing on human capital development, providing financial assistance, and creating incentives for adopting advanced technology to foster the growth of local businesses in Gilgit-Baltistan through SEZs. It emphasizes the need for policymakers and stakeholders to prioritize initiatives that support entrepreneurship and innovation in the region.

This study contributes to the existing literature by providing novel insights into the perceptions of entrepreneurship development in Gilgit-Baltistan, particularly concerning the influence of natural resources and SEZs. It fills a gap in the research by offering valuable implications for policymakers, researchers, and practitioners seeking to promote sustainable economic development in the region.

This paper integrates the action phase theory (APT) and the theory of planned behaviour (TPB) to analyse the dynamic mechanisms involved in the configuration of goals and implementation intentions throughout the entrepreneurship process.

The empirical analysis compares individuals in different phases of this process (not yet decided, potential and nascent entrepreneurs). A large sample of adults from Spain is analysed. Structural equation models and multi-group analysis (MGA) serve to test the hypotheses.

The results confirm that perceived behavioural control (PBC) is the most influential antecedent of entrepreneurial goal intention (EGI) in pre-actional phases (undecided and potential entrepreneurs), whilst attitude towards entrepreneurship (ATE) takes this role during nascency. Subjective norms (SNs) are more important in Phase 1 (establishing the goal) and in Phase 3 (performing nascent behaviour).

This study contributes to both the TPB and the APT. It provides the most relevant insight into the mental process that leads to starting up and helps explain certain previous conflicting results found in the literature. Additionally, it has important implications not only for theory building but also for support bodies and for entrepreneurship educators.

This study aims to understand the relationship between entrepreneurial competencies (self-efficacy and social capital) and sustainable entrepreneurship and its incidence through entrepreneurial motivations (opportunity and necessity entrepreneurship).

The authors adopt a quantitative approach and use ordinary least squares regressions and bootstrapping analysis to test the hypotheses about the relationship between entrepreneurial competencies and sustainable entrepreneurship mediated by entrepreneurial motivations using a cross-sectional sample of 2,356 nascent entrepreneurs from the Global Entrepreneurship Monitor 2021–2022 report.

Evidence suggests that sustainable entrepreneurship is positively influenced by both opportunity- and necessity-driven entrepreneurship. Additionally, the results show that both entrepreneurial motivations positively mediate the relationship between self-efficacy and sustainable entrepreneurship.

The approach departs from the traditional unidimensional perspective on entrepreneurial motivations, recognizing that an entrepreneur can simultaneously embody varying degrees of both motivations. By integrating the study of entrepreneurial competencies and motivations into sustainable entrepreneurship, we can gain a holistic understanding of the dynamics at play.

El objetivo de este estudio es comprender la relación entre las competencias emprendedoras (autoeficacia y capital social) con el emprendimiento sostenible y su incidencia a través de las motivaciones emprendedoras (emprendimiento por oportunidad y por necesidad).

Adoptamos un enfoque cuantitativo y utilizamos regresiones de mínimos cuadrados ordinarios (MCO) y análisis de bootstrapping para probar nuestras hipótesis sobre la relación entre las competencias emprendedoras y el emprendimiento sostenible mediado por las motivaciones emprendedoras utilizando una muestra transversal de 2.356 emprendedores nacientes del informe Global Entrepreneurship Monitor (GEM) 2021–2022.

La evidencia sugiere que tanto el emprendimiento de oportunidad como el de necesidad tienen un impacto positivo en el emprendimiento sostenible. Además, encontramos que ambas motivaciones emprendedoras median positivamente la relación entre la autoeficacia y el emprendimiento sostenible.

Nuestro enfoque se aleja de la tradicional perspectiva unidimensional de las motivaciones emprendedoras, reconociendo que un emprendedor puede encarnar simultáneamente diversos grados de ambas motivaciones. Al integrar el estudio de las competencias y motivaciones emprendedoras en el emprendimiento sostenible, obtenemos una comprensión holística de la dinámica en juego.

Este artigo tem como objetivo compreender a relação entre as competências empreendedoras (autoeficácia e capital social), e o empreendedorismo sustentável e sua incidência por meio de motivações empreendedoras (empreendedorismo de oportunidade e necessidade).

Adotamos uma abordagem quantitativa e usamos regressões de mínimos quadrados ordinários (OLS) e análise de bootstrapping para testar nossas hipóteses sobre a relação entre competências empresariais e empreendedorismo sustentável mediada por motivações empresariais usando uma amostra transversal de 2.356 empreendedores nascentes do relatório Global Entrepreneurship Monitor (GEM) 2021–2022.

As evidências sugerem que o empreendedorismo sustentável é influenciado positivamente pelo empreendedorismo orientado pela oportunidade e pela necessidade. Além disso, os resultados mostram que ambas as motivações empresariais mediam positivamente a relação entre a autoeficácia e o empreendedorismo sustentável.

Nossa abordagem se afasta da perspectiva unidimensional tradicional sobre as motivações empresariais, reconhecendo que um empreendedor pode incorporar simultaneamente vários graus de ambos os ases motivações. Ao integrar o estudo das competências e motivações empresariais ao empreendedorismo sustentável, obtemos uma compreensão holística da dinâmica em jogo.

The rising number of food recalls has raised concerns about complexity, globalization and weak governance in the food supply chain. This paper aims to investigate the recall of plant-based products with data from the US Food and Drug Administration.

Introducing the structural topic modeling method allowed us to test theories on recall in the context of sustainable food consumption, enhancing the understanding of food recall processes. This approach helps identify latent topics of product recalls and their interwoven relationships with various stakeholders.

The results answer a standing research call for empirical investigation in a nascent food industry to identify stakeholders’ engagements for food safety crisis management for corporate social responsibility practices. This finding provides novel insights on managing threats to food safety at an industry level to extend existing antecedents and consequences of product recall at a micro level.

For practitioners, this empirical finding may provide insights into stakeholder management and develop evidence-based strategies to prevent threats to food safety. For public policymakers, this analysis may help identify patterns of recalls and assist guidelines and alarm systems (e.g. EU’s Rapid Alert System for Food and Feed) on threats in the food supply chain.

Two detected clusters, such as opportunisms of market actors in the plant-based food system and food culture, from the analysis help understand corporate social responsibility and food safety in the plant-based food industry.

Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.

After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.

This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.

The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.

The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.

Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.

We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.

Despite much attention being devoted to shared leadership, the negotiation of such arrangements remains underexplored. In parallel, the revival of interest in matrix structures reveals their challenges but neglects the dynamics of shared leadership. In this case study, the author analyzes the tensions experienced by senior managers of a healthcare organization transitioning from a hierarchical to matrix structure as they negotiate their leadership roles in this new arrangement.

The author interviewed 16 senior managers, observed their meetings and analyzed documents. These data were combined with secondary data including previous interviews and observations of this top leadership team. The author then conducted an inductive data analysis.

The author's analysis reveals that the tensions experienced by senior managers as they negotiate their roles reflect the co-existence of leadership surpluses (too much leadership) and deficits (too little leadership) in matrix organizations. The author argues that surpluses and deficits are not mutually exclusive but are interrelated and shows how leadership surpluses can create leadership deficits.

The author’s findings suggest that in contexts of leader abundance, actors should explore leadership voids. Particular attention should be paid to incidents of intrusion and exclusion, moments of transition and intense role negotiation, as those contexts are particularly conducive to leadership deficits.

While previous work on matrix structures focuses on leadership surpluses, the author discusses leadership deficits. The author explores how more leaders do not necessarily mean more leadership, but instead how more leaders may result in leadership voids.

A limited number of empirical studies have indicated that individuals who experience workplace ostracism tend to engage in subtle and retaliatory behaviors as a means of seeking inner peace. However, research on organizational behavior and employee psychology in relation to ostracism is still in its nascent stages. Specifically, further investigation is warranted to explore how supervisor ostracism influences task procrastination (TP) through psychological processes such as self-efficacy, self-esteem and motivation. Notably, a significant gap exists in the ostracism literature, as it has yet to thoroughly examine employee behaviors related to knowledge hiding (KH) and TP in the context of individual or team-based work (Zhao et al., 2016; Brouwer and Jansen, 2019). Therefore, the present study aims to address this gap and expand the research stream within the education sector by introducing “threat to self-esteem” (TSE) as a mediating factor in the outcomes of ostracism.

The study employed a quantitative approach, using questionnaires to collect data and mainly focused on statistics and standards. The authors used SPSS and Smart-PLS to employ numerical values developed from questionnaire surveys. Likewise, we employed primary data collection tools, including mixed survey analysis (self-reported and peer-reported). The data were collected from middle-level managers working in three public sector universities. By using a three-wave research design with a two-week interval in each phase, we were able to separate the measurement of the predictor and moderator factor [supervisor ostracism (SO) and individual resilience (IR)], mediator (TSE) and outcome variables (KH and TP).

The study has discovered a substantial relationship between variables, and all hypotheses are accepted according to the data results and findings. The study measures the effects of supervisor ostracism on knowledge hiding and task procrastination through mediating effect of threat to self-esteem, which individual resilience moderates. This study adds a few contributions to the current literature, following the goals stated above. First, this attempts to highlight employee KH behavior and TP behavior by identifying SO as the primary predictor.

The organization should closely monitor the level of workplace ostracism. One strategy to accomplish this goal is to routinely gauge the extent of ostracism at work using targeted techniques like surveys and observation. The organization can also create an employee assistance program for the workers to assist them in coping with the mistreatment and better adjusting to the workplace culture. Furthermore, employee empowerment and collaborative decision-making can boost workers' self-esteem, eventually leading to diminishing knowledge-hiding and procrastination habits inside the organization.

There is a research gap regarding the barriers to KH from the perspective of team dynamics and interpersonal mistreatment at work because prior research has focused on knowledge sharing, organizational culture and organizational obstruction. Research on organizational behavior and employee psychology in relation to ostracism is still in its nascent stages. Specifically, further investigation is warranted to explore how SO influences TP through psychological processes such as self-efficacy, self-esteem and motivation. Notably, a significant gap exists in the ostracism literature, as it has yet to thoroughly examine employee behaviors related to KH and TP in individual or team-based work.

In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application in projects is still lagging behind other disciplines. This paper aims to provide a review of the current use of data analytics in project delivery encompassing both academic research and practice to accelerate current understanding and use this to formulate questions and goals for future research.

We propose to achieve the research aim through the creation of a systematic review of the status of data analytics in project delivery. Fusing the methodology of integrative literature review with a recently established practice to include both white and grey literature amounts to an approach tailored to the state of the domain. It serves to delineate a research agenda informed by current developments in both academic research and industrial practice.

The literature review reveals a dearth of work in both academic research and practice relating to data analytics in project delivery and characterises this situation as having “more gap than knowledge.” Some work does exist in the application of machine learning to predicting project delivery though this is restricted to disparate, single context studies that do not reach extendible findings on algorithm selection or key predictive characteristics. Grey literature addresses the potential benefits of data analytics in project delivery but in a manner reliant on “thought-experiments” and devoid of empirical examples.

Based on the review we articulate a research agenda to create knowledge fundamental to the effective use of data analytics in project delivery. This is structured around the functional framework devised by this investigation and highlights both organisational and data analytic challenges. Specifically, we express this structure in the form of an “onion-skin” model for conceptual structuring of data analytics in projects. We conclude with a discussion about if and how today’s project studies research community can respond to the totality of these challenges. This paper provides a blueprint for a bridge connecting data analytics and project management.

This study explores the relationship between economic freedom and gender ideologies on the allocation of women’s opportunity-to-necessity entrepreneurship across countries. Opportunity entrepreneurship is typically understood as one’s best option for work, whereas necessity entrepreneurship describes the choice as driven by no better option for work. Specifically, we examine how economic freedom (i.e. each country’s policies that facilitate voluntary exchange) and gender ideologies (i.e. each country’s propensity for gendered separate spheres) affect the distribution of women’s opportunity-to-necessity entrepreneurship across countries.

We construct our sample by matching data from the following country-level sources: the Global Entrepreneurship Monitor’s Adult Population Survey (APS), the Fraser Institute’s Economic Freedom Index (EFI), the European/World Value Survey’s Integrated Values Survey (IVS) gender equality index, and other covariates from the IVS, Varieties of Democracy (V-dem) World Bank (WB) databases. Our final sample consists of 729 observations from 109 countries between 2006 and 2018. Entrepreneurial activity motivations are measured by the ratio of the percentage of women’s opportunity-driven total nascent and early-stage entrepreneurship to the percentage of female necessity-driven total nascent and early-stage entrepreneurship at the country level. Due to a first-order autoregressive process and heteroskedastic cross-sectional dependence in our panel, we estimate a fixed-effect regression with robust standard errors clustered by country.

After controlling for multiple macro-level factors, we find two interesting findings. First, economic freedom positively affects the ratio of women’s opportunity-to-necessity entrepreneurship. We find that the size of government, sound money, and business and credit regulations play the most important role in shaping the distribution of contextual motivations over time and between countries. However, this effect appears to benefit efficiency and innovation economies more than factor economies in our sub-sample analysis. Second, gender ideologies of political equality positively affect the ratio of women’s opportunity-to-necessity entrepreneurship, and this effect is most pronounced for efficiency economies.

This study offers one critical contribution to the entrepreneurship literature by demonstrating how economic freedom and gender ideologies shape the distribution of contextual motivation for women’s entrepreneurship cross-culturally. We answer calls to better understand the variation within women’s entrepreneurship instead of comparing women’s and men’s entrepreneurial activity. As a result, our study sheds light on how structural aspects of societies shape the allocation of women’s entrepreneurial motivations through their institutional arrangements.