The Theory and Measurement of Expertise-Based Problem Solving in Organizational Teams: Revisiting Demonstrability

Author:

Bonner Bryan L.1ORCID,Shannahan Daniel2ORCID,Bain Kristin3ORCID,Coll Kathryn1ORCID,Meikle Nathan L.4ORCID

Affiliation:

1. David Eccles School of Business, University of Utah, Salt Lake City, Utah 84112;

2. School of Business, College of Professional Studies, Northern State University, Aberdeen, South Dakota 57401;

3. Saunders College of Business, Rochester Institute of Technology, Rochester, New York 14623;

4. Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556

Abstract

The current paper revisits and builds upon task demonstrability, which defines the criteria necessary for groups to choose a correct response if any member prefers that response. We identify boundary conditions of the current conceptualization of task demonstrability with respect to its use in understanding modern organizational teams. Specifically, we argue that, in its current form, task demonstrability is not optimally suited to studying ongoing teams in which member expertise varies and teams work to complete complex multifaceted tasks. To address this issue, we provide a revisited perspective on demonstrability. We specify the nomological network of revisited demonstrability and recast each of its criteria in a form that preserves the original intent of the construct, but has broader applicability, particularly to organizational contexts. We then discuss theoretical implications and managerial applications of the construct. Finally, noting that there is no standard assessment tool for demonstrability (original or revisited), we develop and validate a measure to facilitate future research.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management

Cited by 6 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