Does the Winning Region Take All? Entrepreneurial Ecosystems, Support Organizations, and Domain Knowledge

2021 ◽  
Author(s):  
Yating Li ◽  
Martin Kenney ◽  
Donald Patton
2017 ◽  
Vol 44 (9) ◽  
pp. 1252-1267 ◽  
Author(s):  
Philip T. Roundy

Purpose The formation of entrepreneurial ecosystems is recognized as an activity that can produce economic development and community revitalization. Social entrepreneurship is also an activity that is receiving growing attention because of its potential for addressing social and economic problems. However, while scholars have focused on how the participants in entrepreneurial ecosystems, such as investors and support organizations, influence ecosystem functioning, it is not clear what role social entrepreneurs can play in entrepreneurial ecosystems. Nor is it known how the entrepreneurial ecosystems in which social entrepreneurs are located can influence the founding and operation of their ventures. The paper aims to discuss these issues. Design/methodology/approach In this conceptual paper, theory is proposed to explain the interrelationship between entrepreneurial ecosystems and social entrepreneurship. Findings It is theorized that entrepreneurial ecosystems will influence the operations and effectiveness of social entrepreneurs through mechanisms such as the ecosystem’s diversity of resource providers, support infrastructure, entrepreneurial culture, and learning opportunities. In turn, social entrepreneurs can shape the entrepreneurial ecosystems in which they are situated by influencing the heterogeneity of ecosystem participants, garnering attention for the ecosystem, and increasing its attractiveness to stakeholders. Originality/value Scholars examining entrepreneurial ecosystems have not studied the role of an increasingly important market actor: the social entrepreneur. At the same time, work on social entrepreneurship has not emphasized the community of social relations and cultural milieu in which social entrepreneurs found their ventures. The theory developed addresses both of these omissions and has important implications for practitioners focused on spurring entrepreneurial ecosystems and social entrepreneurship.


2020 ◽  
Vol 64 (4) ◽  
pp. 233-246
Author(s):  
Lennard Stolz

AbstractResearch on entrepreneurial ecosystems (EEs) is still advancing as a concept that both practitioners and scholars claim has advanced beyond other approaches to fostering or explaining regional entrepreneurship. However, criticism of the concept centers on a lack of understanding of causes and effects and the importance of single instruments for its functionality. While practitioners and policy makers are jumping on the bandwagon and trying to aim policies directly at entrepreneurial ecosystems, investigation of the role of single instruments and their impact on entrepreneurial ecosystems remains insufficient. Fostering entrepreneurship through startup competitions (SUCs) is a decades-old policy instrument. Today, both scholars and practitioners mention SUCs as an element of entrepreneurial ecosystems, but analyzing them from that perspective remains undone. Building on a regional understanding of entrepreneurship and entrepreneurial ecosystems, this paper provides a novel framework for the role of startup competitions in entrepreneurial ecosystems. Following on previous studies of SUCs, this study identifies core mechanisms and benefits of the competitions and presents a general framework for SUCs. Then, the study results are synthesized with mechanisms central to entrepreneurial ecosystems, e.g., entrepreneurial learning, networks of entrepreneurial-related actors in the region, and financing entrepreneurship. It is argued that startup competitions work as network hubs in entrepreneurial ecosystems because they connect: a) entrepreneurs with each other, b) entrepreneurs with relevant actors (e.g., financiers, experts, entrepreneurship support organizations), c) those actors among themselves. Therefore, the competitions are “anchor events” and strengthen the overall quality of the EE in which they occur. The study also argues that SUCs benefit from a functioning EE’s positive climate for entrepreneurship and the availability of resources. The study is theoretical, and its findings lead to an agenda for further research.


2013 ◽  
Vol 27 (2) ◽  
pp. 87-105 ◽  
Author(s):  
Mohamed Z. Elbashir ◽  
Philip A. Collier ◽  
Steve G. Sutton ◽  
Michael J. Davern ◽  
Stewart A. Leech

ABSTRACT Business intelligence (BI) systems have attracted significant interest from senior executives and consultants for their ability to exploit organizational data and provide operational and strategic benefits through improved management control systems. A large body of literature indicates that organizations have largely failed to use their business intelligence investments effectively to exploit the wealth of data they capture in their ERP systems. As a result, BI has too often failed to support organizations' managerial decision making at both the strategic and operational levels and, thus, failed to enhance business value. Whether and how organizations achieve business benefits from their BI investments remains unclear. This study draws on the strategic alignment and IT assimilation literature to develop a research model that theorizes the importance of BI systems assimilation, and the need for shared knowledge among the strategic and operational levels as the drivers of BI business value. Results from the study confirm the crucial role of BI assimilation in translating organizational resources into capabilities that enhance the business value of BI. The findings also contribute evidence on the importance of shared domain knowledge and the interrelations between senior business, IT executives, and operational-level managers for enhancing BI assimilation.


2018 ◽  
Vol 32 (2) ◽  
pp. 119-134 ◽  
Author(s):  
Elsie Harper-Anderson

Entrepreneurial ecosystems have become a focal point for regional innovation and growth. Much of the scholarship on ecosystems has focused on identifying key components and understanding factors influencing the entrepreneurial process. While scholars have acknowledged the importance of connection as the means through which information, knowledge, and resources are shared, most of the discussion has focused on entrepreneurs as the unit of analysis with limited attention to connections between entrepreneurial support organizations. This comparative analysis examines partnership and leadership among entrepreneurial support organizations in Chicago, Pittsburgh, and Richmond. The author argues that differences in partnership practices across the cases are in part a function of the unique leadership models shaping each ecosystem’s cultural and institutional norms. Understanding the role of leadership could be critical for shaping the collaborative environments for which most ecosystem stakeholders are hoping.


Author(s):  
Gregory K. W. K. Chung ◽  
Eva L. Baker ◽  
David G. Brill ◽  
Ravi Sinha ◽  
Farzad Saadat ◽  
...  

1994 ◽  
Vol 33 (05) ◽  
pp. 454-463 ◽  
Author(s):  
A. M. van Ginneken ◽  
J. van der Lei ◽  
J. H. van Bemmel ◽  
P. W. Moorman

Abstract:Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicians with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements.


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