Diagnosis for Effectiveness: Performance Assessment from a Diagnostic Measurement Perspective with Big Data
Ph.D Jiyuan Zhang () and
Cody Ding ()
Additional contact information
Ph.D Jiyuan Zhang: Department of Human Resources, Nanjing Urban Construction Investment Holding (Group) Co., Ltd, Nanjing, China,
Cody Ding: Department of Educational Psychology, Research, &evaluation, University of Missouri-St. Louis, St. Louis, MO, USA,
International Journal of Business and Social Research, 2014, vol. 4, issue 6, 1-11
Abstract:
Although traditional performance assessment of employees and organizations has the potential advantages, there are also potential problematic issues such as detrimental to quality improvement or negative perceptions. The purpose of this paper is to propose a diagnostic assessment framework for monitoring and improving performance of both employees and organizations. This framework is called "diagnosis for effectiveness," which provides information that needs to adjust managing strategies while they are still happening and guides both managers and employees in making decisions about future strategic actions. In addition, we suggest a big data approach via spatial models for evidence-based performance decision.
Keywords: Diagnostic Assessment; Performance Effectiveness (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://thejournalofbusiness.org/index.php/site/article/view/520/420 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mir:mirbus:v:4:y:2014:i:6:p:1-11
Access Statistics for this article
More articles in International Journal of Business and Social Research from MIR Center for Socio-Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by M Kabir ().