scholarly journals Why Do Life Scientists Decide to Become Entrepreneurs? The Role of Motivations

2016 ◽  
Vol 11 (5) ◽  
pp. 57 ◽  
Author(s):  
Nadia Di Paola ◽  
Rosanna Spano ◽  
Roberto Vona ◽  
Adele Caldarelli
Keyword(s):  
Qualitative Comparative Analysis ◽  
Life Sciences ◽  
Policy Implications ◽  
Entrepreneurial Intentions ◽  
Control Beliefs ◽  
Process Data ◽  
Entrepreneurial Action ◽  
Economic Nature ◽  
External Incentives

<p>The linkage between entrepreneurial ideas and actions continues to be central to the entrepreneurship debate. However, the possible implications of the various entrepreneurial motivations for the process are still largely understudied. On this basis, our study aims to contextualise the theoretical model linking entrepreneurial intentions, motivations and actions, with particular reference to academic entrepreneurship within the Life Sciences. We use the qualitative comparative analysis (QCA) set-theoretic method to process data gathered amongst 25 scholars active in the Life Sciences context. We carried out the analysis in two steps. The first reveals that a condition which determines entrepreneurial intentions is the absence of normative beliefs together with the presence of control beliefs. In contrast, the research highlights that the entrepreneurial intentions are able to determine the entrepreneurial action. However, as the second step shows, these alone are not sufficient and need to be complemented by extrinsic motivations, that is, those correlated to external incentives/benefits (above all of an economic nature). Our findings offer interesting insights into the whole phenomenon, revealing that the reference to specific contexts may well determine implications which differ from those already detected in the literature, with undeniable effects in terms of managerial and policy implications.</p>

scholarly journals Promoting Female Entrepreneurship: The Impact of Gender Gap Beliefs and Perceptions

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110184
Author(s):  
Camelia Ilie ◽  
Abel Monfort ◽  
Gaston Fornes ◽  
Guillermo Cardoza
Keyword(s):  
Gender Gap ◽  
Multivariate Regression Analysis ◽  
Public Institutions ◽  
Policy Implications ◽  
Entrepreneurial Intentions ◽  
Cultural Barriers ◽  
Female Entrepreneurship ◽  
Spanish Women ◽  
The Impact

Perceptions and institutional frameworks can be barriers or facilitators to the development of female entrepreneurship policies. Institutions rely on factual data on the gender gap to evaluate their policies. However, the literature shows that the research and institutions should also analyze the impact of social beliefs on the success of these policies and initiatives. This study focuses on the impact of these perceptions in promoting female entrepreneurship. Data were collected from 287 responses to a questionnaire from Spanish women and men and were analyzed using multivariate regression analysis. The results show that the perception of lack of equality increases the gender gap even if there are specific and effective policies in a society that attempt to eliminate the gender gap in terms of the role of women in the home or positions of power. The main result is that these perceptions ultimately affect women’s entrepreneurial intentions. The results have policy implications for companies and public institutions willing to change the gender narrative about entrepreneurship and design policies and initiatives that help women overcome cultural barriers and effectively promote female entrepreneurship.

scholarly journals The role of action-control beliefs in developing entrepreneurial expertise

2018 ◽  
Vol 25 (2) ◽  
pp. 222-240
Author(s):  
Magdalena Markowska
Keyword(s):  
Perceived Control ◽  
Action Control ◽  
Control Beliefs ◽  
Control Belief ◽  
Content Type ◽  
Means And Ends ◽  
Ability To Act ◽  
Entrepreneurial Action ◽  
And Control

Purpose The purpose of this paper is to theorize on the mechanisms underlying the development of entrepreneurial expertise. While prior studies have identified differences between the behavior of novice and expert entrepreneurs, the mechanisms that cause these differences have not received sufficient attention. Design/methodology/approach This paper systematically reviews the extant literature on entrepreneurial expertise and builds the conceptual framework by employing an action-control belief framework to propose mechanisms underlying the development of expert behavior. Findings This paper argues that differences in behavior between novice and expert entrepreneurs stem from self-perceptions of their ability to act. More specifically, stronger action-control beliefs encourage entrepreneurs to create new interpretations of the world over time; develop and use strategies that allow them to rely on perceived control over means and ends, their perceived capacity, and their agency; and hence behave more like experts. Practical implications This paper suggests that strategy, capacity, and control beliefs are key in individuals’ decisions of whether to engage in entrepreneurial action and that expert entrepreneurs hold stronger beliefs than novices. Positive experiences, particularly those associated with deliberate practice, contribute to developing these beliefs and, more broadly, to entrepreneurial expertise. Originality/value This paper proposes that the mechanism of transformation from novice to expert behavior can be attributed to positive changes in deeply held beliefs about strategy (i.e. possible means-ends frameworks), capacity (i.e. access to means), and control (i.e. perceived efficacy). Each of the beliefs can develop separately from others and at different pace. In other words, this work explains why novice and expert entrepreneurs behave differently.

Symmetric and asymmetric modeling of entrepreneurial ecosystem in developing entrepreneurial intentions among female university students in Saudi Arabia

2019 ◽  
Vol 11 (4) ◽  
pp. 435-458
Author(s):  
Imran Ali ◽  
Murad Ali ◽  
Saeed Badghish
Keyword(s):  
Saudi Arabia ◽  
University Students ◽  
Structural Equation ◽  
Qualitative Comparative Analysis ◽  
Entrepreneurial Intentions ◽  
Equation Modeling ◽  
Necessary Condition ◽  
Entrepreneurial Ecosystem ◽  
Content Type

Purpose Unlike previous studies that examine the role of different entrepreneurial ecosystem factors in predicting entrepreneurial intentions. The purpose of this study is to explain the direct effects of entrepreneurial ecosystem factors effecting entrepreneurial intentions and configurational combinations of entrepreneurial ecosystem factors that cause high or low entrepreneurial intentions among female university students in Saudi Arabia. Design/methodology/approach The study used structured survey-questionnaire based data collected from 310 female students enrolled in different universities in Saudi Arabia. The study used symmetric analysis using structural equation modeling technique, whereas asymmetric analysis is performed using the fuzzy-set qualitative comparative analysis, necessary condition analysis is also used to identify the role of different entrepreneurial ecosystem factors in increasing and/or decreasing entrepreneurial intentions among young Saudi women. Findings The results of symmetrical analysis show that access to finance, access to physical infrastructure, and cultural factors are not significantly associated with entrepreneurial intentions, whereas government policies and regulations, government programs and support, social factors and entrepreneurship education and training are significantly associated with the development of entrepreneurial intentions among female Saudi university students. While the result of asymmetrical analysis provides 15 configurational models that explains the high levels of certain factors to predict entrepreneurial intentions among female university students in Saudi Arabia. Specifically, social support is found as necessary condition in majority of models to predict high levels of entrepreneurial intentions among female Saudi university students. Practical implications The results of the study provide empirical evidence to policymakers in Saudi Arabia. The study proposes that it is not mandatory that the high levels of all entrepreneurial ecosystem factors are important to predict high entrepreneurial intentions, rather in some conditions the low levels of certain factors are obligatory to predict high levels of entrepreneurial intentions. Originality/value Two-step mix-method approach is used in this study containing analysis of symmetric within entrepreneurial ecosystem increase or decrease entrepreneurial intentions among female university students in Saudi Arabia. There has been plenty of research that examines the role of entrepreneurial ecosystem factors in development of university students’ entrepreneurial intentions, however there is less research evident in the entrepreneurship literature that examine the configurational effects of factors within entrepreneurial ecosystem in increasing and/or decreasing entrepreneurial intentions among female university students.

Formation of university scholars’ entrepreneurial intentions: Interaction between perceived desirability and perceived feasibility

2020 ◽  
Vol 48 (1) ◽  
pp. 1-13
Author(s):  
Wen Li ◽  
Yurong Zhang
Keyword(s):  
Significant Role ◽  
Moderating Effect ◽  
Entrepreneurial Intentions ◽  
Environmental Support ◽  
Academic Entrepreneurs ◽  
Event Model ◽  
Perceived Desirability ◽  
Practical Implications

Drawing on the entrepreneurial event model, we examined the role of perceived desirability and perceived feasibility and their interaction in university scholars' entrepreneurial intentions, with data from 252 Chinese academic entrepreneurs. Results showed that perceived feasibility only had a significant effect on scholars' entrepreneurial intentions formation. Further, the moderating effect of external environmental support brought about an interactive mechanism between perceived desirability and perceived feasibility: When perceived desirability was low, perceived feasibility played a more significant role in entrepreneurial intentions formation, and vice versa. Theoretical contributions and practical implications are discussed.

Data-driven sector coupling in 5G-based smart networks

2021 ◽  
Vol 22 (1) ◽  
pp. 53-68
Author(s):  
Guenter Knieps
Keyword(s):  
Data Privacy ◽  
Service Providers ◽  
Policy Implications ◽  
Network Industries ◽  
5G Networks ◽  
Privacy And Security ◽  
Open Set ◽  
Application Service ◽  
Downstream Application

5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.

scholarly journals COVID-19 uncertainty and sleep: the roles of perceived stress and intolerance of uncertainty during the early stage of the COVID-19 outbreak

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dan Wu ◽  
Tingzhong Yang ◽  
Daniel L. Hall ◽  
Guihua Jiao ◽  
Lixin Huang ◽  
...  
Keyword(s):  
Path Analysis ◽  
Perceived Stress ◽  
Mediation Analysis ◽  
Early Stage ◽  
Intolerance Of Uncertainty ◽  
Policy Implications ◽  
Self Report ◽  
Poor Sleep ◽  
The Relationship

Abstract Background The COVID-19 pandemic brings unprecedented uncertainty and stress. This study aimed to characterize general sleep status among Chinese residents during the early stage of the outbreak and to explore the network relationship among COVID-19 uncertainty, intolerance of uncertainty, perceived stress, and sleep status. Methods A cross-sectional correlational survey was conducted online. A total of 2534 Chinese residents were surveyed from 30 provinces, municipalities, autonomous regions of China and regions abroad during the period from February 7 to 14, 2020, the third week of lockdown. Final valid data from 2215 participants were analyzed. Self-report measures assessed uncertainty about COVID-19, intolerance of uncertainty, perceived stress, and general sleep status. Serial mediation analysis using the bootstrapping method and path analysis were applied to test the mediation role of intolerance of uncertainty and perceived stress in the relationship between uncertainty about COVID-19 and sleep status. Results The total score of sleep status was 4.82 (SD = 2.72). Age, place of residence, ethnicity, marital status, infection, and quarantine status were all significantly associated with general sleep status. Approximately half of participants (47.1%) reported going to bed after 12:00 am, 23.0% took 30 min or longer to fall asleep, and 30.3% slept a total of 7 h or less. Higher uncertainty about COVID-19 was significantly positively correlated with higher intolerance of uncertainty (r = 0.506, p < 0.001). The mediation analysis found a mediating role of perceived stress in the relationship between COVID-19 uncertainty and general sleep status (β = 0.015, 95%C.I. = 0.009–0.021). However, IU was not a significant mediator of the relationship between COVID-19 uncertainty and sleep (β = 0.009, 95%C.I. = − 0.002–0.020). Moreover, results from the path analysis further showed uncertainty about COVID-19 had a weak direct effect on poor sleep (β = 0.043, p < 0.05); however, there was a robust indirect effect on poor sleep through intolerance of uncertainty and perceived stress. Conclusions These findings suggest that intolerance of uncertainty and perceived stress are critical factors in the relationship between COVID-19 uncertainty and sleep outcomes. Results are discussed in the context of the COVID-19 pandemic, and practical policy implications are also provided.

scholarly journals It takes two to tango: the interplay between decision logics, communication strategies and social media engagement in start-ups

2021 ◽  
Author(s):  
Christian Rudeloff ◽  
Stefanie Pakura ◽  
Fabian Eggers ◽  
Thomas Niemand
Keyword(s):  
Social Media ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Exploratory Study ◽  
Communication Strategies ◽  
Qualitative Comparative Analysis ◽  
Communication Models ◽  
Social Media Engagement ◽  
Start Ups

AbstractThis manuscript analyzes start-ups’ usage of different communication strategies (information, response, involvement), their underlying decision logics (effectuation, causation, strategy absence) and respective social media success. A multitude of studies have been published on the decision logics of entrepreneurs as well as on different communication strategies. Decision logics and according strategies and actions are closely connected. Still, research on the interplay between the two areas is largely missing. This applies in particular to the effect of different decision logics and communication models on social media success. Through a combination of case studies with fuzzy-set Qualitative Comparative Analysis this exploratory study demonstrates that different combinations of causal and absence of strategy decision logics can be equally successful when it comes to social media engagement, whereas effectuation is detrimental for success. Furthermore, we find that two-way-communication is essential to create engagement, while information strategy alone cannot lead to social media success. This study provides new insights into the role of decision logics and connects effectuation theory with the communication literature, a field that has been dominated by causal approaches.

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