New Product Development Structures and Time-to-Market

Datar, Srikant M.; Jordan, Clark; Kekre, Sunder; Rajiv, Surendra; Srinivasan, Kannan

doi:10.1287/mnsc.43.4.452

Cited by 106 publications

(72 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this sense, successful collaboration is represented in this paper as either product success or a desired performance of a distributed team. Product success can be represented by various indicators, such as growth in sales, product delivery on time and within the budget (Nellore & Balachandra, 2001;Andres, 2002) or short time-to-market (Datar et al, 1997). In line with these indicators, product success is thus defined as the achievement of project objectives (Gallivan, 2001).…”

Section: Successful Collaboration In Information System Projectsmentioning

confidence: 99%

Social ties, knowledge sharing and successful collaboration in globally distributed system development projects

Kotlarsky

Oshri

2005

European Journal of Information Systems

351

View full text Add to dashboard Cite

Traditionally, the main focus of the information system (IS) literature has been on technical aspects related to system development projects. Furthermore, research in the IS field has mainly focused on co-located project teams. In this respect, social aspects involved in IS projects were neglected or scarcely reported. To fill this gap, this paper studies the contribution of social ties and knowledge sharing to successful collaboration in distributed IS development teams. Data were drawn from two successful globally distributed system development projects at SAP and LeCroy. Data collected were codified using Atlas.ti software. The results suggest that human-related issues, such as rapport and transactive memory, were important for collaborative work in the teams studied. The paper concludes by discussing the implications for theory and suggesting a practical guide to enhance collaborative work in globally distributed teams.

show abstract

Section: Successful Collaboration In Information System Projectsmentioning

confidence: 99%

Social ties, knowledge sharing and successful collaboration in globally distributed system development projects

Kotlarsky

Oshri

2005

European Journal of Information Systems

351

View full text Add to dashboard Cite

show abstract

“…The completion time of the new product development, T , is considered as a random variable characterized by gamma distribution as taken by Datar et al (1997) and Mehrez (1988) since we focus attention on risky R&D product development. This is supported by empirical studies on duration models in economics and marketing, as provided by Gonul and Srinivasan (1993) and Lancaster (1990).…”

Section: The Modelmentioning

confidence: 99%

“…Firms from such industries face a window of opportunity where the time-to-market must fit in. Datar et al (1997) analyzed the variety of strategies that firms, operating under fierce competition, have adopted in order to compress the development time of a new product. However, although the time-to-market is crucial in fast-cycle industries, upper management must also take into account the window of opportunity as an additional factor.…”

Section: Introductionmentioning

confidence: 99%

Time‐to‐market, window of opportunity, and salvageability of a new product development

Messica

Mehrez

2002

Manage Decis Econ

View full text Add to dashboard Cite

The time-to-market in the presence of a window of opportunity is analyzed using ;a probabilistic model, i.e. a model where the completion time of new product development is a random variable characterized by a gamma distribution. Two cases are considered: the first, a case where the discounted return-on-investment exceeds the return expected from a conservative investment-e.g. investment in bonds-termed 'the profitable case'; and the second, a case where the discounted return-on-investment just balances the cost of new product development, termed 'the salvageable case'. The model constructed is focused on the financial aspects of new product development. It allows a decision-maker to monitor, as well as terminate, a project based on its expected value (at any time prior to completion) by computing the mean time-to-market that provides profit, investment salvage, or loss. The mean time-to-market computed by the model may be compared with that estimated by the technology development team for decision-making purposes. Finally, in the presence of a window of opportunity and for the specific cases analyzed, we recommend to always keep the expenditure rate lower than the expected return rate. This will provide the decision-maker a salvageable exit opportunity if project termination is decided. Copyright © 2002 John Wiley & Sons, Ltd.

show abstract

“…Hendricks and Singhal [14] estimate delay announcements cause an average of 5.25% decrease in the product value, conclude is that there are significant penalties for not introducing new product on time. Some evidence indicates that the later in entering the market, the higher will be the development and manufacturing costs, and the lower the market shares and profit margins [15][16][17][18]. The tremendous growth of the Internet, and particularly the World Wide Web, has led to a global Electronic commerce.…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm Optimization for Correlative product combinatorial introduction model

Wan

Dong

2009

2009 Chinese Control and Decision Conference

View full text Add to dashboard Cite

Enterprises need to develop a process to determine how to find and develop new product ideas and finally, how to successfully introduce them to the marketplace. To address this problem, conceptions of Optimal Introduction Period and Correlative Profit were presented. Based on the quantitative description of the product life cycle, a Non-Linear Semi-Infinite Programming model of new product introduction was proposed. The proposed model was solved by improved Particle Swarm Optimization (PSO) algorithms. Optimal solution of the given example shows that Particle Swarm Optimization has become the hotspot of evolutionary computation because of its excellent performance and simplicity for implement in solving combined optimization problems.

show abstract

New Product Development Structures and Time-to-Market

Cited by 106 publications

References 22 publications

Social ties, knowledge sharing and successful collaboration in globally distributed system development projects

Social ties, knowledge sharing and successful collaboration in globally distributed system development projects

Time‐to‐market, window of opportunity, and salvageability of a new product development

Particle Swarm Optimization for Correlative product combinatorial introduction model

Contact Info

Product

Resources

About