Vicarious Learning in New Product Introductions in the Early Years of a Converging Market

نویسندگان

  • Raji Srinivasan
  • Pamela R. Haunschild
  • Rajdeep Grewal
چکیده

T developments combine previously distinct technologies that result in converging markets. In converging markets, firms from different industries compete against each other, often for the first time. We propose that firms introducing new products in converging markets will learn vicariously from other firms in the market. Further, we propose that this learning will vary across the dual-technology frontier (DTF), where the high-technology frontier (HTF) and low-technology frontier (LTF) map onto innovative activities driven by technological opportunity and user needs. We propose that at the HTF, local search will dominate and firms will be influenced by HTF product introductions of similarly sized, successful firms. At the LTF, learning will occur across the DTF, vary by origin industry of the firm, and be affected by complementarities in routines and capabilities and market competition among firms. We test the proposed model of vicarious learning using panel data on new product introductions of 67 firms in the U.S. digital camera market in the 1990s. Findings generally support our proposed model of vicarious learning in this market. They show heterogeneity in vicarious learning across the technology frontier and firm characteristics—including the origin industry of target firms. Our results show that vicarious learning in new product introductions in converging markets—which includes both mimetic and nonmimetic learning—is similar in some ways, but different from more traditional markets. We conclude with a discussion of the implications of our findings for theories of organizational learning, new product development, and converging markets.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

نقش ویژگی‌های شخصیتی دانشجویان بر سبک یادگیری آنان در دانشگاه علوم پزشکی بندرعباس

Introduction: Learning style is performance indicators for each individual in the process of receiving information for learning. Personality traits are the factors affecting learning styles and Knowledge of personality is helpful to effectively tackle the problems of life. The purpose of this study was to investigate the relationship between personality traits and and kolb learning style that a...

متن کامل

Modeling Discharge Coefficient of Side Weir on Converging Channel Using Extreme Learning Machine

In this study, the discharge coefficient of side weirs located on converging channels was simulated for the first time using a new method of Extreme Learning Machine (ELM). To examine the accuracy of the numerical model, the Monte Carlo simulations were used and the experimental values validation was conducted by the k-fold cross validation method. Then, the input parameters were detected for s...

متن کامل

Forecasting the Tehran Stock market by Machine ‎Learning Methods using a New Loss Function

Stock market forecasting has attracted so many researchers and investors that ‎many studies have been done in this field. These studies have led to the ‎development of many predictive methods, the most widely used of which are ‎machine learning-based methods. In machine learning-based methods, loss ‎function has a key role in determining the model weights. In this study a new loss ‎function is ...

متن کامل

A value analysis of new product development factors.in a Developed and Developing Country (Case Study)

New product development (NPD) is described in the literature as the transformation of a market opportunity into a product available for sale. In the automotive industry, within the context of ISO/TS16949:2002 (the automotive quality management system international standard),  these related to the product realization process (PRP) which consists of Three main phases such as planning, Implem...

متن کامل

Staying Ahead in the Innovation Race: New-Product Introductions and Relative Firm Value

While product innovation is a key contributor to long-term firm performance, newproduct failure rate remains high, especially in the face of intense competition. Therefore, marketers need a better understanding of how and why firms benefit from new product activity relative to industry competitors. Which types of innovations have the greatest impacts on relative firm value? In particular, which...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Management Science

دوره 53  شماره 

صفحات  -

تاریخ انتشار 2007