Responding to Rivals and Complements: How Market Concentration Shapes Generational Product Innovation Strategy

Turner, Scott F.; Mitchell, Will; Bettis, Richard A.

doi:10.1287/orsc.1090.0486

Cited by 79 publications

(63 citation statements)

References 55 publications

(67 reference statements)

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“…Market understanding and technology trajectory understanding are important forms of knowledge -taken together they represent the well-known complement of market pull and technology push (Brem & Voigt, 2009a). Knowledge of competitors and their innovations is also considered (Turner, Mitchell, & Bettis, 2010). A final type of knowledge which is generally considered a driver for innovation is user-domain understanding generated from customers (Lee & Cole, 2003).…”

Section: Knowledge Driversmentioning

confidence: 99%

“…G. Cooper, 2011;Hung & Whittington, 2011;Napier et al, 2011;Turner et al, 2010;van den Ende & Wijnberg, 2003;Yang & Hsiao, 2009) …”

Section: Market Understandingunclassified

“…Monitoring competitors' processes, products and services to inform innovation Turner et al, 2010;Cooper, 2011) Knowledge Driver: Community and Network…”

Section: Competitor Understandingmentioning

confidence: 99%

See 2 more Smart Citations

An integrated model of innovation drivers for smaller software firms

Rose

Jones

Furneaux

2016

Information & Management

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Section: Knowledge Driversmentioning

confidence: 99%

“…G. Cooper, 2011;Hung & Whittington, 2011;Napier et al, 2011;Turner et al, 2010;van den Ende & Wijnberg, 2003;Yang & Hsiao, 2009) …”

Section: Market Understandingunclassified

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An integrated model of innovation drivers for smaller software firms

Rose

Jones

Furneaux

2016

Information & Management

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“…Knowledge of competitors and their innovations is also considered to be important in fostering the development of new generations of software systems [53] as is the ability to leverage user-domain understanding generated from customers [28,[54][55][56]. Taken together, efforts to leverage internal and external knowledge represent the well-known complement of market pull and technology push that has been posited to drive innovation in a wide range of contexts [52].…”

Section: Knowledge Leveragementioning

confidence: 99%

Innovation Drivers and Outputs for Software Firms: Literature Review and Concept Development

Rose

Furneaux

2016

Advances in Software Engineering

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Software innovation, the ability to produce novel and useful software systems, is an important capability for software development organizations and information system developers alike. However, the software development literature has traditionally focused on automation and efficiency while the innovation literature has given relatively little consideration to the software development context. As a result, there is a gap in our understanding of how software product and process innovation can be managed. Specifically, little attention has been directed toward synthesizing prior learning or providing an integrative perspective on the key concepts and focus of software innovation research. We therefore identify 93 journal articles and conference papers within the domain of software innovation and analyse repeating patterns in this literature using content analysis and causal mapping. We identify drivers and outputs for software innovation and develop an integrated theory-oriented concept map. We then discuss the implications of this map for future research.

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“…All major organizational problems require the considerations of multiple levels of analysis: individual characteristics such as talent and tastes Stern, 2004); organizational capabilities and structure, including the incentive system (Henderson and Cockburn, 1994;Holmstrom, 1989;Holmstrom and Milgrom, 1994); and the characteristics of the relevant industry, in particular the competitive pressure (Porter, 1980;Raith, 2003;Schmidt, 1997;Turner et al, 2010). While the importance of all of these dimensions is often recognized, research that tries to integrate them in one framework is limited.…”

Section: Introductionmentioning

confidence: 99%

Individual Preferences, Organization, and Competition in a Model of R&D Incentive Provision

Lacetera¹,

Zirulia²

2011

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Understanding the organization of R&D activities requires the simultaneous consideration of scientific workers' talent and tastes, companies' organizational choices, and the characteristics of the relevant industry. We develop a model of the provision of incentives to corporate scientists, in an environment where (1) scientists engage in multiple activities when performing research; (2) knowledge is not perfectly appropriable; (3) scientists are responsive to both monetary and non-monetary incentives; and (4) firms compete on the product market. We show that both the degree of knowledge spillovers and of market competition affect the incentives given to scientists, and these effects interact. First, high knowledge spillovers lead firms to soften incentives when product market competition is high, and to strengthen incentives when competition is low. Second, the relationship between the intensity of competition and the power of incentives is U-shaped, with the exact shape depending on the degree of knowledge spillovers. We also show that the performance-contingent pay for both applied and basic research increases with the non-pecuniary benefits that scientists obtain from research. We relate our findings to the existing empirical research, and also discuss their implications for management and public policy.

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Responding to Rivals and Complements: How Market Concentration Shapes Generational Product Innovation Strategy

Abstract: doi 10.1287/orsc.1090.048

Cited by 79 publications

References 55 publications

An integrated model of innovation drivers for smaller software firms

An integrated model of innovation drivers for smaller software firms

Innovation Drivers and Outputs for Software Firms: Literature Review and Concept Development

Individual Preferences, Organization, and Competition in a Model of R&D Incentive Provision

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