Cited by 10Entrepreneurship Studies and InfluencesBig Data and Business IntelligenceInnovation and Knowledge Management

Guest editorial resource, routine, reputation, or regulation shortages: can data-and analytics-driven capabilities inform tech entrepreneur decisions

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Levesque, M., Joglekar, N.·2018·IEEE Transactions on Engineering Management

Abstract

The five papers in this special section explore the use of data analytics in current business and management decision making. Entrepreneurial ingenuity plays a crucial role in building new business enterprises, especially when resources are lacking, routines are nonexistent, a firm’s reputation is not established, and/or regulations are inadequate. Resources in the form of human capital are often the foundation of independent startups or new corporate business ventures. Routines in the form of organizational and technical processes are often key in building these new ventures. Reputation in terms of an entrepreneur’s accomplishments or network is essential for acquiring needed resources and developing fundamental routines to initiate, commit to, organize, and grow the startup. Examines the impacts of such shortages create threats or opportunities for independent startups and new business ventures spun off from established firms.

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Research works printed but not linked: 8

  1. T. Eisenmann, E. Ries, and S. Dillard, Hypothesis-Driven Entrepreneur- ship: The Lean Startup. Cambridge, MA, USA: Harvard Business School Press, 2012.
  2. IEEE Transactions on Engineering Management, Aims and Scope, 2018. [Online]. Available: https://ieeexplore.ieee.org/xpl/aboutJournal. jsp?punumber = 17#AimsScope. Accessed on: May 27, 2018.
  3. Sundararajan, The Sharing Economy: The end of Employment and the Rise of Crowd-Based Capitalism. Cambridge, MA, USA: MIT Press, 2016.
  4. D. C. Taylor and J. B. Aday, "Consumer generated restaurant ratings: A preliminary look at OpenTable. Com," J. New Bus. Ideas Trends, vol. 14, no. 1, pp. 12-21, 2016.
  5. Z. Li, Y. Hong, and Z. Zhang, "Do on-demand ride-sharing services affect traffic congestion? evidence from uber entry," Working paper, 2016. [On- line]. Available: https://ssrn.com/abstract=2838043. Accessed on: Apr. 19, 2018.
  6. Prof. Lévesque currently serves as an Editor for Entrepreneurship Theory & Practice, a Senior Editor for Production and Operations Management, and she served from 2013 to 2017 as a Department Editor for the IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT.
  7. Nitin R. Joglekar received the bachelor's degree (Hons.) in engineering from the Indian Institute of Technology Kharagpur, Kharagpur, India, in 1977, the Master's degrees in engineering from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, and the Memorial University of Newfoundland, St. John's, NL, Canada, in 1984 and 1987, respectively, and the Ph.D. degree in management science from the Sloan School of Management, MIT, in 1997. He is currently an Associate Professor in operations and technology management with the Questrom School of Business, Boston University, Boston, MA. His research interests include digitalization of products and supply chains in startup and established firms.
  8. Prof. Joglekar is currently serving as a Department Editor for the IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT.

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Authors
Levesque, M., & Joglekar, N.
Affiliations
Boston University (US)
Venue
IEEE Transactions on Engineering Management
Published
2018-11
Volume
65
Issue
4
Pages
537-544
ISSN
  • 0018-9391 (ISSN-L)
  • 1558-0040
OpenAlex
W2896692527
Cited by
10
References
30
Citations by year
2022: 6 · 2021: 2 · 2019: 2
Type
journal article
Language
en
Open access
Locations
IEEE Transactions on Engineering Management (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
Keywords
data analytics, entrepreneurial decision-making, startups, resource constraints, routines, reputation, regulation, human capital, technology entrepreneurship, spin-offs

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