A Survey of Knowledge Work Productivity Metrics

Author:

Xiao Min1,Nembhard David A.2,Dai Changjun1

Affiliation:

1. Glorious Sun School of Business and Management, Donghua University, Shanghai, China

2. Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA, USA

Abstract

This paper presents a unique comparison of work on productivity metrics in the literature and that in use in practice, with the aim of identifying gaps, and opportunities for researchers and practitioners to meet the challenge of improving knowledge worker productivity. Methods used include surveys, group interviews, and in-depth interviews. The authors conclude that several metrics including effectiveness, efficiency, profitability, innovation, and customer satisfaction may need to be given more attention when considering productivity evaluation. It is also important to identify knowledge work intensity, and select metrics that are most appropriate for each worker’s knowledge intensity level. Results provide insights for enterprises to identify useful metrics for evaluating the knowledge workforce. Specifically, for high intensity work, effectiveness is a valuable metric, but for lower intensities, efficiency may be more practical.

Publisher

IGI Global

Cited by 5 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

1. Productivity metrics in the context of knowledge work: literature vs practice;International Journal of Productivity and Performance Management;2021-04-29

2. A valid and applicable measurement method for knowledge worker productivity;International Journal of Productivity and Performance Management;2018-11-19

3. Investigating knowledge workers’ productivity using work design theory;International Journal of Productivity and Performance Management;2017-07-10

4. Utility-Based Knowledge Work Productivity Assessment;International Journal of Productivity Management and Assessment Technologies;2014-07

5. The Relation of Knowledge Intensity to Productivity Assessment Preferences and Cultural Differences;Organizational Culture and Behavior

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