Utilizing Use: the Effect of Customer Learning and Evaluation on Technology and Industry Evolution
نویسنده
چکیده
This paper argues that the way customers use a new technology may differ from what producers intended and thereby influences the evolution of that technology and its industry. Customers may interpret the technology differently or may adapt it to their local conditions and requirements, generating variety in how users actually deploy products. Moreover, as customers use new products, they may learn new ways of using the technology, which affects their future purchasing and deployment decisions. This paper argues that incorporating these aspects of demand evolution provides a better explanation of the shifts in competition within an industry than prevailing evolutionary models do. This paper asserts that an industry’s shift to cost-based competition depends upon customers converging on a more standardized use of the technology and that the competitive significance of a discontinuous technological change is not determined until its use characteristics are established. A brief discussion of the experience of U.S. manufacturers with manufacturing software from 1954 to 1996 demonstrates the workings of the model. Addressing demand evolution also adds theoretical insight into the study of the co-evolution of an industry’s competitive dynamics with firm-level capabilities. By showing how one environmental participant, the customer, evolves in ways that are interrelated to firms innovating, this research argues that the source of competitive advantage lies in the interplay between firms adapting and the environment selecting. Creative and strategic management of how customers understand and use a technology should be an important competitive factor in technology industries.
منابع مشابه
Determining the Key Indicators affecting Electronic Customer Relationship Management (e-CRM) Using an integration of balanced scorecard and fuzzy screening techniques (Case Study: Companies Covered by Parsian Data-Processors Group)
Nowadays, increasing competition among companies and the huge cost of attracting new customers has led to companies seeking to retain existing customers rather than looking to attract new customers. These factors together have led to the emergence of customer relationship management. Thanks to the development of information and communication technology, especially the Internet, the use of custo...
متن کاملRetaining Customers Using Clustering and Association Rules in Insurance Industry: A Case Study
This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...
متن کاملIdentifying customer preferences in using e-banking services
Clients are the vital artery of every industry and business. Maintaining these customers is one of the most important tasks of any business, especially banks. The specific needs of customers and the increasing compe- tition in the banking services market have led banks to create structures that can respond flexibly to these needs. Obviously, one of the important points is that moving to th...
متن کاملIdentifying customer preferences in using e-banking services
Clients are the vital artery of every industry and business. Maintaining these customers is one of the most important tasks of any business, especially banks. The specific needs of customers and the increasing compe- tition in the banking services market have led banks to create structures that can respond flexibly to these needs. Obviously, one of the important points is that moving to th...
متن کاملCustomer Retention Based on the Number of Purchase: A Data Mining Approach
Purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools...
متن کامل