کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1018817 940368 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A system dynamics model as a decision aid in evaluating and communicating complex market entry strategies
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
پیش نمایش صفحه اول مقاله
A system dynamics model as a decision aid in evaluating and communicating complex market entry strategies
چکیده انگلیسی

Developing a market entry strategy is a critical activity for any firm but all the more so for those firms that wish to successfully compete in today's challenging global economy. Unfortunately, developing a market entry strategy is an ill-structured and complex activity for which structured approaches have proven inadequate. In less structured situations, data driven and model based decision-support systems (DSS) have been shown to be of significant help to decision-makers faced with such tasks. Getting managers to use such systems, however, is a major challenge that has been the subject of considerable research in the field of DSS. As far back as the 1970's scholars identified reasons why managers are reluctant to use such systems. Among the most often cited reasons why managers are reluctant to use these systems are: they do not understand the model inherent in the DSS; they do not know when to use them; they are unable to extend the use of the DSS; or they are unable to explain the model or its output to others. This paper describes the process of building a system dynamics model that can be employed by marketing managers to help them test the effectiveness of different market entry strategies, and equally important to help them to explain the system's logic and output. The model was built in a bottom-up fashion with the help of a team of marketing managers. In this way the team that helped build the model not only felt a sense of ownership concerning the model, but were also be able to better explain and defend their proposed strategy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Business Research - Volume 61, Issue 11, November 2008, Pages 1173–1181
نویسندگان
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