Analysis of the Problems of Measuring Organizational Performance in the Education, Public Administration and Commercial Sectors: Differences and General Principles

Vyacheslav Aranzhin () and Ilia Dmitriev
Additional contact information
Vyacheslav Aranzhin: Tomsk State University
Ilia Dmitriev: Tomsk State University

Chapter Chapter 19 in Global Economics and Management: Transition to Economy 4.0, 2019, pp 209-223 from Springer

Abstract: Abstract The study is aimed at identifying the general and specific problems of measuring the productivity of organizations and the measurement criteria in various spheres and industries. The objectives of the study are to identify general problems of measuring productivity, systematize the main problems of measuring productivity in education, government and the commercial sectors, consider criteria for measuring productivity in these areas, organize the information obtained. As a result, the authors came to the conclusion that despite the fact that the criteria for measuring productivity in these areas have differences, the principles of forming criteria for measuring performancePerformance are similar, since they should be directly related to the goals and mission of the organization.

Keywords: Performance; Educational and government institutions; Commercial organizations; Educational organizations; Effectiveness (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:prbchp:978-3-030-26284-6_19

Ordering information: This item can be ordered from
http://www.springer.com/9783030262846

DOI: 10.1007/978-3-030-26284-6_19

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().