Exploring Strategies for Capturing Customer's Tacit Knowledge in Customer Integration Methods

Author:

Bretschneider Ulrich1,Zogaj Shkodran1

Affiliation:

1. Department of Information Systems, University of Kassel, Kassel, Germany

Abstract

In many instances, customers are seen as one of the key resources for new product development (NPD), as they often have deep product knowledge, either in the form of explcit or tacit knowledge. Firms' NPD departments are highly interested in internalizing these forms of customer knowledge with the help of customer integration methods, such as Ideas Competitions, Lead-User-Workshops etc. However, research analyzing how these methods enable transfer of customer's tacit knowledge – which can hardly be expressed – has been neglected. Thus, scholars are constantly calling for research that focuses on understanding the tacit knowledge transfer processes by means of customer integration methods. This research identifies a total of 15 methods with the help of a systematic literature review. By then systematically analyzing these methods, authors found that six of these methods make use of two major strategies to internalise customer's tacit knowledge: Story Telling-Strategy and Observing Customer Activities-Strategy. The rest of these methods do not allow for capturing customer's tacit knowledge at all. Based on these insights, authors derived valuable implications for NPD practice on how each of these methods can leverage tacit knowledge from customers more efficiently.

Publisher

IGI Global

Subject

Management of Technology and Innovation,Computer Science Applications,Management Information Systems

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3