How Do Industry Evolution and Industry Conditions Prompt Product Firms to Offer Services?

2016 ◽  
Vol 2016 (1) ◽  
pp. 17535
Author(s):  
Sam Arts ◽  
Dimo Ringov
Keyword(s):  
Industry Evolution ◽  
Industry Conditions

CAREERS, COMMUNITIES, AND INDUSTRY EVOLUTION: LINKS TO COMPLEXITY THEORY

2001 ◽  
Vol 05 (02) ◽  
pp. 239-255 ◽  
Author(s):  
MICHAEL B. ARTHUR ◽  
ROBERT J. DEFILLIPPI ◽  
VALERIE J. LINDSAY
Keyword(s):  
Complexity Theory ◽  
Ways Of Knowing ◽  
Industry Evolution ◽  
Alternative View ◽  
Building Industry ◽  
Independent Film ◽  
Unit Of Analysis ◽  
Boat Building ◽  
Film Making ◽  
Principal Unit

Traditional views of industry evolution focus on the company as their principal unit of analysis. We offer an alternative view that links between workers' careers and successive community, company and industry effects. We apply this view to evidence from independent film-making, and suggest a conception of the career, involving three "ways of knowing", to underlie these links. We next explore two more industry examples, the New Zealand boat building industry and the Linux operating system in the software industry, which provide further support for the alternative view proposed, as well as extending it to consider the influence of the World Wide Web. We see all three industry examples as illustrating a range of ideas in complexity theory. We propose that a career-centric view provides a useful basis for the further exploration and application of complexity theory to industrial life.

scholarly journals Industry evolution and key technologies in China based on patent analysis

2010 ◽  
Vol 87 (1) ◽  
pp. 175-188 ◽  
Author(s):  
Jia Zheng ◽  
Zhi-yun Zhao ◽  
Xu Zhang ◽  
Dar-zen Chen ◽  
Mu-hsuan Huang ◽  
...  
Keyword(s):  
Patent Analysis ◽  
Industry Evolution ◽  
Key Technologies

A Spanner in the Works: Category-Spanning Entrants and Audience Valuation of Incumbents

2021 ◽  
Author(s):  
Rory M. McDonald ◽  
Ryan T. Allen
Keyword(s):  
Service Providers ◽  
Disruptive Innovation ◽  
Financial Service ◽  
Industry Evolution ◽  
Future State ◽  
Categorization Scheme

Previous work has examined how audiences evaluate category-spanning organizations, but little is known about how their entrance affects evaluations of other, proximate organizations. We posit that the emergence of category-spanning entrants signals the advent of an altered future state—and seeds doubt about incumbents’ prospects in a reordered industry-categorization scheme. We test this hypothesis by treating announcements of funding for startups as an information shock to investors evaluating incumbent financial service providers between 2010 and 2017—a period marked by atypical category combinations at FinTech startups. We find that announcements by startups that embodied unusual combinations of categories resulted in lower cumulative average returns for incumbents, both in absolute terms and in comparison with typical startups. Our theory and results contribute to research on categorization in markets and to theories of disruptive innovation and industry evolution.

Demand Uncertainty, Capital Specificity, and Industry Evolution

1992 ◽  
Vol 1 (1) ◽  
pp. 235-262 ◽  
Author(s):  
S. A. LIPPMAN ◽  
R. P. RUMELT
Keyword(s):  
Demand Uncertainty ◽  
Industry Evolution

scholarly journals Governance under the Gun: Spillover Effects of Hedge Fund Activism*

2018 ◽  
Vol 23 (6) ◽  
pp. 1031-1068 ◽  
Author(s):  
Nickolay Gantchev ◽  
Oleg R Gredil ◽  
Chotibhak Jotikasthira
Keyword(s):  
Hedge Fund ◽  
Spillover Effects ◽  
Threat Perception ◽  
Capital Expenditures ◽  
Return On Assets ◽  
Positive Effects ◽  
Asset Turnover ◽  
Hedge Fund Activism ◽  
And Performance ◽  
Industry Conditions

Abstract Hedge fund activism is associated with improvements in the governance and performance of targeted firms. In this article, we show that these positive effects of activism reach beyond the targets, as nontargeted peers make similar improvements under the threat of activism. Peers with higher threat perception, as measured by director connections to past targets, are more likely to increase leverage and payout, decrease capital expenditures and cash, and improve return on assets and asset turnover. As a result, their valuations improve, and their probability of being targeted declines. Our results are not explained by time-varying industry conditions or competition effects whereby improved targets force their product market rivals to become more competitive.

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