The Past, Present, and Future of Entrepreneurship Research: Data Analytic Trends and Training

2007 ◽  
Vol 31 (4) ◽  
pp. 601-618 ◽  
Author(s):  
Michelle A. Dean ◽  
Christopher L. Shook ◽  
G. Tyge Payne
Keyword(s):  
Data Analysis ◽  
Analytical Techniques ◽  
Theory And Practice ◽  
Future Perspective ◽  
Future Research ◽  
Doctoral Training ◽  
Entrepreneurship Research ◽  
Entrepreneurship Theory ◽  
Testing Techniques ◽  
Data Analytic

Competent data analysis is essential to entrepreneurship research and to the discipline's progression. A three–study design was used to evaluate quantitative analytic trends and the adequacy of entrepreneurship doctoral training. First, trends were identified by assessing hypothesis–testing techniques in Entrepreneurship Theory and Practice and the Journal of Business Venturing. Second, top entrepreneurship scholars were surveyed regarding the importance of various quantitative analytical techniques to future research and their expectations regarding doctoral training. Third, newly minted entrepreneurship PhDs were queried regarding their perceived competence with these same techniques. These studies provide a past, present, and future perspective on data analysis techniques and competencies in entrepreneurship.

scholarly journals Entrepreneurship in the Agricultural Sector: A Literature Review and Future Research Opportunities

2017 ◽  
Vol 42 (1) ◽  
pp. 129-166 ◽  
Author(s):  
Sarah Fitz-Koch ◽  
Mattias Nordqvist ◽  
Sara Carter ◽  
Erik Hunter
Keyword(s):  
Literature Review ◽  
Vertical Integration ◽  
Agricultural Sector ◽  
Theory And Practice ◽  
Future Research ◽  
Entrepreneurship Research ◽  
Dynamic Setting ◽  
Entrepreneurship Theory ◽  
Agricultural Entrepreneurship

Heeding calls for contextualizing entrepreneurship research and for greater attention to the role of sector in entrepreneurship research, we conduct a systematic literature review of extant research in agricultural entrepreneurship. Recent and rapid vertical integration and rationalization within the agricultural sector provides a dynamic setting for scholars to investigate entrepreneurship theory and practice. We identify three key contextual dimensions of the agricultural sector: identity, family, and institutions, which provide promising opportunities for future research and the potential to contribute to and extend current theoretical and empirical analyses of entrepreneurship research.

scholarly journals A New Methodological Frontier in Entrepreneurship Research: Big Data Studies

2018 ◽  
Vol 43 (5) ◽  
pp. 843-854 ◽  
Author(s):  
Andreas Schwab ◽  
Zhu Zhang
Keyword(s):  
Big Data ◽  
Research Method ◽  
Empirical Studies ◽  
Professional Associations ◽  
Theory And Practice ◽  
High Quality ◽  
Entrepreneurship Research ◽  
Methodological Challenges ◽  
Entrepreneurship Theory

The emergence of “big data” and related analytic techniques are creating opportunities to advance empirical entrepreneurship theory and practice. This editorial focuses on the implications for the design and execution of empirical studies. It offers guidance on how to navigate related methodological challenges and outlines what editors, professional associations, research-method teachers, and administrators can do to enable high-quality big data research.

scholarly journals Making a Contribution to Entrepreneurship Research by Studying Crowd-Funded Entrepreneurial Opportunities

2019 ◽  
pp. 104225871988864 ◽  
Author(s):  
Jeffrey M. Pollack ◽  
Markku Maula ◽  
Thomas H. Allison ◽  
Maija Renko ◽  
Christina C. Günther
Keyword(s):  
Best Practices ◽  
The State ◽  
Theory And Practice ◽  
Special Issue ◽  
Entrepreneurship Research ◽  
Entrepreneurial Opportunities ◽  
The Future ◽  
Entrepreneurship Theory ◽  
The Way

This editorial outlines our perspective on the state of literature as well as suggestions for new contributions to entrepreneurship research in the area of crowd-funded opportunities. Our aim is, first, to outline what we see as best practices for research on crowd-funded entrepreneurial opportunities. Second, we aim to solicit additional articles for the Virtual Special Issue (VSI) on “Crowd-Funded Entrepreneurial Opportunities” in Entrepreneurship Theory and Practice. In contrast to typical editorial articles associated with special issues, we take a prospective approach and outline what we hope (and expect) to see in the literature in the future. Put differently, we are not going to summarize a subset of articles that have been accepted for publication—rather, we are going to delineate the subset of articles to be written that we would, ideally, like to see submitted to top-tier entrepreneurship journals in order to advance the literature. Along the way, we will describe best practices that we anticipate can elevate research in this burgeoning area of inquiry.

scholarly journals Opportunities and Threats in Reviewing Entrepreneurship Theory and Practice

2019 ◽  
Vol 44 (5) ◽  
pp. 847-860 ◽  
Author(s):  
Andreas Rauch
Keyword(s):  
Critical Role ◽  
Theory Development ◽  
Theory And Practice ◽  
Theory Testing ◽  
Future Research ◽  
Research Gaps ◽  
Knowledge Accumulation ◽  
Testing Theory ◽  
Entrepreneurship Theory

Reviews have a critical role in knowledge accumulation in entrepreneurship. Good reviews do not just summarize the literature but provide unique contributions on theory testing, theory development, the identification of research gaps, and suggestions for future research. This editorial discusses different forms for reviews, their strengths and weaknesses, and how they best contribute to the field.

scholarly journals Unveiling Entrepreneurial Ecosystems’ Transformation: A GEM Based Portrait

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 186
Author(s):  
Mariana Pita ◽  
Joana Costa ◽  
António Carrizo Moreira
Keyword(s):  
Theory And Practice ◽  
Global Entrepreneurship Monitor ◽  
Entrepreneurship Research ◽  
Acculturation Process ◽  
Entrepreneurial Ecosystems ◽  
Entrepreneurship Theory ◽  
Global Entrepreneurship ◽  
Contextual Determinants ◽  
Future Policy ◽  
The Impact

Entrepreneurial Ecosystems (EEs) have attracted the attention of academics, practitioners, and policymakers, that attempt to unlock ‘a winning recipe’ considering the different EEs pillars in order to ignite entrepreneurship at large. Therefore, understanding the degree of influence of each pillar on Entrepreneurial Initiative (EI) is helpful in framing more effective policies towards entrepreneurship. This study aims to bring a new facet to entrepreneurship research, specifically on decomposing the transformation of EEs and the influence of EEs pillars on EI. The transformation of EEs is shown by a balanced panel approach based on the Global Entrepreneurship Monitor (GEM) dataset over 8 years (2010–2017), comprising 18 countries. The study has several implications for entrepreneurship theory and practice as well as public policy since discusses three main issues, mainly supported by empirical results. First, the results show an unbalanced influence of EEs pillars on EI. Second, results also show the ineffectiveness of institutions in encouraging the desire to act entrepreneurially. Third, entrepreneurship needs to be part of the acculturation process evidencing the importance of collective normative. Therefore, providing the instruments and structures is not enough to encourage individuals to start an entrepreneurial journey. Generally, the results reveal that contextual determinants are significant in fostering entrepreneurial propensity to start a business. But the impact of the nine pillars is not equalized, revealing a fragmented influence with funding measures, R&D transfer, and cultural and social norms discouraging entrepreneurial initiative. Overall, the study contributes to the understanding of a multidimensional perspective on EEs and points future policy directions to overcome the lack of entrepreneurship and amend flawed entrepreneurship policies.

Justifying the data analytical choice in single case research in relation to the expected data pattern

2019 ◽  
Author(s):  
Rumen Manolov
Keyword(s):  
Data Analysis ◽  
Visual Analysis ◽  
Multilevel Models ◽  
Single Case ◽  
Analytical Techniques ◽  
Real Data ◽  
Small Scale ◽  
Data User ◽  
Single Case Research ◽  
User Friendly

The lack of consensus regarding the most appropriate analytical techniques for single-case experimental designs data requires justifying the choice of any specific analytical option. The current text mentions some of the arguments, provided by methodologists and statisticians, in favor of several analytical techniques. Additionally, a small-scale literature review is performed in order to explore if and how applied researchers justify the analytical choices that they make. The review suggests that certain practices are not sufficiently explained. In order to improve the reporting regarding the data analytical decisions, it is proposed to choose and justify the data analytical approach prior to gathering the data. As a possible justification for data analysis plan, we propose using as a basis the expected the data pattern (specifically, the expectation about an improving baseline trend and about the immediate or progressive nature of the intervention effect). Although there are multiple alternatives for single-case data analysis, the current text focuses on visual analysis and multilevel models and illustrates an application of these analytical options with real data. User-friendly software is also developed.

A Short Review on Structural Equation Modeling: Applications and Future Research Directions

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
First Generation ◽  
Analytical Techniques ◽  
Short Review ◽  
Equation Modeling ◽  
Future Research ◽  
Multivariate Techniques ◽  
Statistical Efficiency ◽  
Future Research Directions

The application of multivariate techniques is mainly to expand the researchers explanatory ability and statistical efficiency. The first generation analytical techniques share a common limitation i.e. each technique can examine only a single relationship at a time. Structural Equation Modeling, an extension of several multivariate techniques is the technique popularly used today can examine a series of dependence relationships simultaneously. The purpose of this study is to provide a short review on Structural Equation Modeling (SEM) being used in social sciences research. A comprehensive literature review of article appearing in top journals is conducted in order to identify how often SEM theory is used. Also the key SEM steps have been provided offering potential researchers with a theoretical supported systematic approach that simplify the multiple options with performing SEM.

scholarly journals Cyberstalking Victimization Model Using Criminological Theory: A Systematic Literature Review, Taxonomies, Applications, Tools, and Validations

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1670
Author(s):  
Waheeb Abu-Ulbeh ◽  
Maryam Altalhi ◽  
Laith Abualigah ◽  
Abdulwahab Ali Almazroi ◽  
Putra Sumari ◽  
...  
Keyword(s):  
Data Analysis ◽  
Structural Equation ◽  
Large Scale ◽  
Review Paper ◽  
Essential Element ◽  
Routine Activities ◽  
Criminological Theory ◽  
Equation Modeling ◽  
Future Research ◽  
Proposed Model

Cyberstalking is a growing anti-social problem being transformed on a large scale and in various forms. Cyberstalking detection has become increasingly popular in recent years and has technically been investigated by many researchers. However, cyberstalking victimization, an essential part of cyberstalking, has empirically received less attention from the paper community. This paper attempts to address this gap and develop a model to understand and estimate the prevalence of cyberstalking victimization. The model of this paper is produced using routine activities and lifestyle exposure theories and includes eight hypotheses. The data of this paper is collected from the 757 respondents in Jordanian universities. This review paper utilizes a quantitative approach and uses structural equation modeling for data analysis. The results revealed a modest prevalence range is more dependent on the cyberstalking type. The results also indicated that proximity to motivated offenders, suitable targets, and digital guardians significantly influences cyberstalking victimization. The outcome from moderation hypothesis testing demonstrated that age and residence have a significant effect on cyberstalking victimization. The proposed model is an essential element for assessing cyberstalking victimization among societies, which provides a valuable understanding of the prevalence of cyberstalking victimization. This can assist the researchers and practitioners for future research in the context of cyberstalking victimization.

The nature of entrepreneurial orientation strength: the impact of shared values on firm performance

2021 ◽  
pp. 1-21
Author(s):  
Laurence G. Weinzimmer ◽  
Eric J. Michel ◽  
Jennifer Robin
Keyword(s):  
Firm Performance ◽  
Entrepreneurial Orientation ◽  
Convergent Validity ◽  
Field Studies ◽  
Theory And Practice ◽  
Interactive Effects ◽  
Revenue Growth ◽  
Entrepreneurship Theory ◽  
The Impact ◽  
Strong Culture

Abstract Drawing on Wales, Monsen, and McKelvie's (2011, Entrepreneurship Theory and Practice, 35(5), 895–923) model of entrepreneurial orientation pervasiveness and the strong culture hypothesis (Denison, 1984, Organization Dynamics, 13, 4–22), this study investigates how entrepreneurial orientation (EO) strength, defined as the level of agreement in the shared perceptions of EO, serves as a boundary condition of the EO–firm performance relationship. Four field studies provide evidence for a valid and reliable 10-item multidimensional measure of entrepreneurial orientation, the EO-10, which in turn, may be used to assess EO strength. We establish content and construct validity of the EO-10 (study 1; n = 447 employees), criterion-related validity with revenue growth and sales growth (study 2; n = 412 employees in 43 profit centers), and convergent validity with Covin and Slevin's (1989, Strategic Management Journal, 10, 75–87) 9-item measure (study 3; n = 291 employees). Finally, in study 4 (n = 853 employees nested in 22 organizations), we demonstrate the interactive effects of EO and EO strength on profit growth and revenue growth. In sum, this study provides conceptual and empirical evidence for the importance of EO strength as a moderator of the EO–firm performance relationship.

scholarly journals Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction

2021 ◽  
Vol 13 (3) ◽  
pp. 1464
Author(s):  
Patrick Brandtner ◽  
Farzaneh Darbanian ◽  
Taha Falatouri ◽  
Chibuzor Udokwu
Keyword(s):  
Data Analysis ◽  
Supply Chains ◽  
Consumer Satisfaction ◽  
Future Research ◽  
Grocery Shopping ◽  
Product Availability ◽  
Analysis Technique ◽  
Retail Chains ◽  
Retail Supply Chains ◽  
The Impact

The COVID-19 pandemic has been one of the biggest disruptive events of recent decades and has had a global effect on society and the economy. The political regulations resulting from COVID-19 also led to significant changes in physical grocery shopping. However, the specific impact of COVID-19 on consumer satisfaction at the customer end of retail supply chains, i.e., the point-of-sale (PoS), has not yet been addressed. By gathering and analyzing consumer satisfaction data (ratings) and sentiments (evaluation comments) available on the open web, the current study evaluates the impact of COVID-19 on consumer satisfaction at the PoS. Focusing on the five biggest retail chains in Austria, the results show that there was a general and significant decline in consumer satisfaction due to the pandemic. The results also show a high impact of political regulations on consumer satisfaction. Furthermore, the text-mining based analysis of evaluation comments indicate that store layout and facilities, as well as product availability and waiting time had a great impact on consumer satisfaction. In total, over 533,000 consumer satisfaction ratings and over 153,000 textual comments have been analyzed, providing the basis for a comprehensive and sound discussion of the impact of COVID-19 on consumer satisfaction and perceptions. Future research could focus on applying the used data analysis technique and the adapted consumer sentiment dimensions in different settings, such as countries other than Austria or smaller retail chains.

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