Search results

Although it is acknowledged that entrepreneurial networks play a crucial role in fostering business model innovation (BMI) for start-ups, it is unclear how and when these networks affect BMI. This research developed a moderated mediation model to explore the impact of entrepreneurial networks on BMI in start-ups and examined the dual mediating effects of causation and effectuation, as well as the moderation of environmental dynamism.

The proposed framework was tested by hierarchical regression analyses and bootstrapping using samples of 248 start-ups in China.

The results showed that entrepreneurial networks significantly positively impacted start-up BMI. Causation and effectuation played dual mediating roles between entrepreneurial networks and BMI. Furthermore, the entrepreneurial networks-effectuation-BMI association was more substantial in highly dynamic environments, whereas the entrepreneurial networks-causation-BMI relationship was unaffected.

There are several theoretical contributions resulting from this research. The findings offer new insights for understanding the antecedents of start-up BMI from the network perspective. This research adds to the growing literature on resource orchestration (RO) by exploring the dual mediating influences of causation and effectuation in resource management. This investigation revealed the boundary condition between entrepreneurial networks and BMI by testing the moderating influence of environmental dynamism.

Start-ups must effectively use external resources embedded within networks to advance BMI. Start-up entrepreneurs should apply causation and effectuation to transform entrepreneurial network resources into BMI. Start-up entrepreneurs must dynamically manage resources in response to ever-changing environmental conditions. Resource acquisition and management of entrepreneurial networks can vary significantly in their influence on start-up BMI under different environmental contexts.

Unlike previous BMI research focused on internal organizational factors, this study highlighted the critical importance of entrepreneurial networks as a prerequisite for achieving start-up BMI, contributing to the literature on open innovation and resource-based view. Examining the dual mediating roles of causation and effectuation illustrated the bridging role of strategic decision-making logic in connecting resources to value creation, contributing to the developing RO literature. The moderating influence of environmental dynamism was explored, clarifying how start-up BMI benefits from entrepreneurial networks in differing situations. A framework for reconciling contradictory findings concerning the association between entrepreneurial networks and innovation is provided.

Economy-wide crises create major challenges for small and medium enterprises (SMEs). Existing studies emphasize the crucial role of contrasting behavioral strategies, effectuation and causation in SMEs' adaptation to crisis conditions. Yet, prior literature concentrated predominantly on exploring the impact of effectuation and causation on firm performance rather than survival. The authors present and empirically test a theoretical model explaining how behavioral strategies affect SME survival during an economy-wide crisis under different levels of environmental dynamism.

The authors propose a theoretical framework based on the combination of the effectuation literature and the emerging variance-based perspective on entrepreneurial actions. The theoretical model is then tested using a sample of Russian SMEs during a period of economic adversity and recovery (2015–2019).

The empirical results reveal that causation reduces the probability of firm survival in dynamic environments, while effectuation increases the chance of survival irrespective of the state of the environment. In a nutshell, the study provides evidence that the effectuation logic serves a viable way for SMEs to increase the chances of survival through the economic shock and subsequent recovery period.

For the first time in the literature, the authors demonstrate the role of behavioral strategy (effectual and causal) as a crucial antecedent of SME survival in the short and medium term, particularly during an economy-wide downturn. Furthermore, the study demonstrates the power of variability-based theorizing for explaining and predicting the survival/failure implications of entrepreneurial actions.

Drawing on the upper echelons theory, this study focuses on how top management team (TMT) heterogeneity affects breakthrough innovations and examines how strategic decision-making logic (including causation and effectuation) moderates the relationship between TMT heterogeneity and breakthrough innovation.

By conducting an empirical test of 227 sample firms in China, the authors applied linear hierarchical regression analysis to test the hypotheses on the TMT heterogeneityinnovation relationship and the moderating roles of causation and effectuation.

The empirical tests show that TMT heterogeneity positively affects breakthrough innovation, and both causation and effectuation positively moderate the positive relationship between TMT heterogeneity and breakthrough innovation. In addition, effectuation has a stronger moderating effect on the positive correlation between TMT heterogeneity and breakthrough innovation than causation.

This study extends the upper echelons theory to explain how the characteristics of TMTs affect firm innovation. Specifically, the authors explore the TMT heterogeneity–breakthrough innovation relationship from the perspectives of information processing and core competence and reveal the boundary condition of strategic decision-making logic in the correlation between TMT heterogeneity and breakthrough innovation. In this vein, the authors contribute to the literature by untangling the internal mechanisms between TMT heterogeneity and breakthrough innovation and extending the discussion on effectuation theory from the entrepreneurship domain to the innovation field. Furthermore, the research findings can provide helpful implications for TMTs to manage breakthrough innovation effectively.

This study addresses current research gaps by integrating resilience literature with crisis management theories, focussing on SMEs. Specifically, the authors examine how the entrepreneurial decision-making process, via the interplay of causation and effectuation logic, impacts a firm's ability to respond to unpredictable events. This paper aims to present an investigation that seeks to unearth the potentially complex interplay between causation and effectuation logic in fostering organisational resilience, particularly in the face of unprecedented disruptions such as the COVID-19 pandemic.

This study includes the responses of 80 Italian entrepreneurs operating in the hospitality sector. The paper deployed a joint analysis through a partial least squares structural equation modelling technique (PLS-SEM) and a necessary condition analysis (NCA) to assess how the decision-making logics impact the entrepreneurs' decision when reacting to the pandemic.

The findings show that how entrepreneurs make decisions influence how they react to the crisis. Causation was found as a direct cause of resilience and preparedness, and effectuation was a direct cause of resilience and agility. Moreover, causation indirectly caused resilience through preparedness, and effectuation indirectly caused resilience through agility. Finally, both preparedness and agility are direct causes of resilience.

This research generated insights into why and how some SMEs respond more effectively to uncertainty than others. It provides actionable strategies that business owners and managers can employ to enhance their ability to withstand and recover from crises.

This study's originality and novelty lie in its empirical investigation of the roles of causation and effectuation logic in entrepreneurial decision-making and, consequently, their influence on SME resilience. Focused on the Italian hospitality sector, it provides unique insights into resilience strategies under severe, real-world conditions, contributing to theoretical development and practical applications in crisis management.

Entrepreneurial orientation (EO) has witnessed a daunting rise in firm-level practices; to some extent, it has been augmented by the factors such as globalization and technological shift. The wide variety of literature has explained the importance of EO for firm performance. However, it has not yet been explored at a firm-level the approaches of causation and effectuation through the prism of leader traits such as leader dominance and self-efficacy as administrative ability and EO as strategic manoeuvring with strategic decisions obliged as a spin of firms.

The authors used the quantitative method to analyse the proposed relationships. For this reason, the authors targeted the Chinese firms to collect the data through the semi-structured survey from December 2020 to March 2021 and contributed to the literature by investigating 480 valid responses of leaders from Chinese firms.

The findings support the incorporated view of causation and effectuation on EO, which serve as vital strategic manoeuvring along with leader traits for firm stability and growth.

This study assists the decision-makers (including the top management team, Chief Financial Officer and Chief Executive Officer choose the particular approach (effectual or causal) to create the new venture/new product/new process or scale up the existing firm on another level for optimal benefits by considering their existing resources.

EO is a unidirectional process with three dimensions: innovativeness, proactiveness and risk-taking that could directly favour the firm by considering the well-known approaches (effectuation and causation) in crisis circumstances (like Covid-19). These approaches help the executives enhance their firm’s performance and maintain its sustainability and stability in crisis conditions by effectively using the available resources within its boundaries.

This study aims to examine the influences of causation strategy, entrepreneurial orientation and social orientation on the social enterprise’s (SE) financial performance and social achievement.

The partial least square structural equational modelling technique was used to analyse survey data collected from Malaysian and Singaporean SEs (n = 96).

The findings have important guidance for policymakers, social entrepreneurs and researchers interested in promoting the growth and impact of SEs in emerging regions.

This study offers several practical implications for social entrepreneurs who want to achieve both financial and social success.

There is no widely accepted performance framework for SE. Most research in SE is descriptive and conceptual in nature. Larger data sets from the nascent ecology of SE are even scarcer. This study developed and examined a performance framework specifically designed to meet the needs of SEs operating in the emerging region.

The purpose of this study is to analyse the internationalisation decision-making process using causation and effectuation.

The proposed hypotheses are tested with a survey data set of 148 Kenyan small and medium-sized enterprises (SMEs) to assess the pre-internationalisation decision-making of the firm. Multinomial logistic regression has been used to predict the categories from total effectuation to total causation.

The results of this study show that firm resources and capability provide a solid basis for firms' internationalisation. The entrepreneur becomes more effectual commence as they assess the firm's resource and capability. Entrepreneurs with a high entrepreneurial self-efficacy use both causation and effectuation with a bias towards effectuation. Increasing environmental predictability led the firms to use less effectuation, and increasing psychic distance entails high effectuation relative to high causation in the Kenyan context.

The sample choice of the category is Kenyan SMEs which may raise some questions. This study assumed that SMEs sampled had the same level of internationalisation experience regardless of the number of years in business.

This study theoretically advances the field of international business by combining the Uppsala internationalisation model with effectuation; this study defines four antecedents of decision-making to form its conceptual framework to study internationalisation decision-making approach for SMEs using the effectuation logic and adds to the stream of literature that has reviewed the factors that influence the internationalisation decision-making process for SMEs in developing countries.

This study is a comment on Geoffrey Hodgson’s “Discovering Institutionalism: One Person’s Journey.” In this self-description of the evolution of his thought, Hodgson distinctly acknowledges Thorstein Veblen’s influence on his own institutional perspective. This is the issue that I explore in this study. My argument is that Hodgson can be understood as a Veblenian, but he does not fit in the Veblenian notion that became popular in the mid-twentieth century. I argue that Hodgson’s notion of habits is the strongest Veblen’s influence on him, and his reconstitutive downward and upward causations are in line with Veblen’s institutionalism, albeit without the mid-twentieth century Veblenian writings. I also address the approach to the content of habits as a break between Hodgson’s and Veblen’s institutionalism. By offering an unprecedented Veblenianism, I argue that Hodgson’s institutional economics can be understood as a new institutionalist segmentation.

This paper aims to investigate the entrepreneurial behaviours exhibited by commercial smallholder farmers in Zimbabwe, focusing on their socio-economic characteristics, and considers their implication for outcomes of livelihood resilience in a resource-constrained and turbulent rural context.

The study used survey data collected from 430 smallholder farmers in Masvingo province, Zimbabwe. Using a two-step cluster analysis, the study constructed a typology of farmers based on their entrepreneurial behaviour and socio-economic characteristics.

The results revealed that commercial smallholder farmers are heterogeneous in terms of their entrepreneurial behaviours. Four clusters were identified: non-entrepreneurial, goal-driven, means-driven and ambidextrous. Beyond their entrepreneurial behaviours, these clusters significantly differ in the socio-economic characterises (gender, age, education levels, farm size, proximity to the market and social connection) and farm performance (seasonal sales per hectare and farm income per hectare).

The typology framework relating farmers’ entrepreneurial behaviours to their socio-economic characteristics and business performance is important to tailor and therefore improve the effectiveness of farmer entrepreneurship programmes and policies. In particular, tailoring farmer entrepreneurship education is crucial to distribute land, finance and market resources in purposive ways to promote a combination of smallholder farmers’ effectual and causal behaviours at an early stage of their farm ventures.

Researchers still know little about which farmers’ behaviours are entrepreneurial and how these behaviours manifest in action during their commercial farm activities. This research leverages effectuation and causation theory to unveil previously overlooked distinctions on farmers’ entrepreneurial behaviours, thereby enhancing a more grounded understanding of farmer entrepreneurship in a resource-constrained context.

Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures.

The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network.

The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework.

Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research.

For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.