Modeling complex entrepreneurial processes: A bibliometric method for designing agent-based simulation models

Shim, J; Bliemel, MJ; Choi, M

Modeling complex entrepreneurial processes: A bibliometric method for designing agent-based simulation models

Shim, J Bliemel, MJ

Choi, M

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Publication Type:: Journal Article
Citation:: International Journal of Entrepreneurial Behavior & Research, 2017
Issue Date:: 2017-07-31

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Field	Value	Language
dc.contributor.author	Shim, J	en_US
dc.contributor.author	Bliemel, MJ https://orcid.org/0000-0002-5160-0888	en_US
dc.contributor.author	Choi, M	en_US
dc.date.available	2020-05-25T19:11:23Z
dc.date.issued	2017-07-31	en_US
dc.identifier.citation	International Journal of Entrepreneurial Behavior & Research, 2017	en_US
dc.identifier.issn	1355-2554	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115064
dc.description.abstract	Purpose The purpose of this paper is to suggest a bibliometric method for designing agent-based models (ABMs) in entrepreneurship research. The application of this method is illustrated with an exemplary agent-based modeling and simulation (ABMS) regarding the early venture growth process. This bibliometric approach invigorates the utilization of ABMS as a viable research methodology in process-oriented entrepreneurship research. Design/methodology/approach In the bibliometric method, a domain corpus composed of scholarly articles is established and systematically analyzed through co-word analysis to discern essential concepts (i.e. agents, objects, and contexts) and their interrelations. The usefulness of the bibliometric method is elucidated by constructing an illustrative ABMS. Findings The bibliometric method for designing ABMs identifies essential concepts in the entrepreneurship literature and provides contexts in which the concepts are interrelated. The illustrative ABMS based on these concepts and interrelations accurately and consistently reproduces the emergence of power-law distributions in venture outcomes consistent with empirical evidence, implying further merit to bibliometric procedures. Practical implications The proposed method can be used not only to build simple models with essential concepts, but also to build more complex models that take a large number of concepts and their interrelations into consideration. Originality/value This study proposes a bibliometric method for designing ABMs. The proposed method extends similar procedures that are limited to thematic or cluster analysis by examining the semantic contexts in which the concepts co-occur. This research suggests that ABMS from bibliographic sources can be built and validated with empirical evidence. Several considerations are provided for the combined utilization of the bibliometric method and ABMS in entrepreneurship.	en_US
dc.relation.ispartof	International Journal of Entrepreneurial Behavior & Research	en_US
dc.relation.isbasedon	10.1108/IJEBR-11-2016-0374	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Business & Management	en_US
dc.title	Modeling complex entrepreneurial processes: A bibliometric method for designing agent-based simulation models	en_US
dc.type	Journal Article
utslib.for	1503 Business and Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
utslib.copyright.status	open_access	*
pubs.consider-herdc	false	en_US
pubs.publication-status	Published online	en_US

Abstract:

Purpose The purpose of this paper is to suggest a bibliometric method for designing agent-based models (ABMs) in entrepreneurship research. The application of this method is illustrated with an exemplary agent-based modeling and simulation (ABMS) regarding the early venture growth process. This bibliometric approach invigorates the utilization of ABMS as a viable research methodology in process-oriented entrepreneurship research. Design/methodology/approach In the bibliometric method, a domain corpus composed of scholarly articles is established and systematically analyzed through co-word analysis to discern essential concepts (i.e. agents, objects, and contexts) and their interrelations. The usefulness of the bibliometric method is elucidated by constructing an illustrative ABMS. Findings The bibliometric method for designing ABMs identifies essential concepts in the entrepreneurship literature and provides contexts in which the concepts are interrelated. The illustrative ABMS based on these concepts and interrelations accurately and consistently reproduces the emergence of power-law distributions in venture outcomes consistent with empirical evidence, implying further merit to bibliometric procedures. Practical implications The proposed method can be used not only to build simple models with essential concepts, but also to build more complex models that take a large number of concepts and their interrelations into consideration. Originality/value This study proposes a bibliometric method for designing ABMs. The proposed method extends similar procedures that are limited to thematic or cluster analysis by examining the semantic contexts in which the concepts co-occur. This research suggests that ABMS from bibliographic sources can be built and validated with empirical evidence. Several considerations are provided for the combined utilization of the bibliometric method and ABMS in entrepreneurship.

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http://hdl.handle.net/10453/115064