Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Setting organizational key performance indicators in the precision machine industry
National Chung Hsing University, Taiwan.
National Chung Hsing University, Taiwan.
Hsing-Kuo University of Management, Taiwan.
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management. Jönköping University, School of Engineering, JTH. Research area Industrial Production.
2015 (English)In: International Journal of Management, Knowledge, and Learning, ISSN 2232-5107, Vol. 4, no 2, p. 135-161Article in journal (Refereed) Published
Abstract [en]

The aim of this research is to define (or set) organizational key performance indicators (KPIs) in the precision machine industry using the concept of core competence and the supply chain operations reference (SCOR) model. The research is conducted in three steps. In the first step, a benchmarking study is conducted to collect major items of core competence and to group them into main categories in order to form a foundation for the research. In the second step, a case company questionnaire and interviews are conducted to identify the key factors of core competence in the precision machine industry. The analysis is conducted based on four dimensions and hence several analysis rounds are completed. Questionnaire data is analyzed with grey relational analysis (GRA) and resulted in 5–6 key factors in each dimension or sub-dimension. Based on the conducted interviews, 13 of these identified key factors are separated into one organization objective, five key factors of core competence and seven key factors of core ability. In the final step, organizational KPIs are defined (or set) for the five identified key factors of core competence. The most competitive core abilities for each of the five key factors are established. After that, organizational KPIs are set based on the core abilities within 3 main categories of KPIs (departmental, office grade and hierarchal) for each key factor. The developed KPI system based on organizational objectives, core competences, and core abilities allow enterprises to handle dynamic market demand and business environments, as well as changes in overall corporate objectives.

Place, publisher, year, edition, pages
Celje: International School for Social and Business Studies , 2015. Vol. 4, no 2, p. 135-161
Keywords [en]
Core competence, core ability, SCOR model, key performance indicators, grey relational analysis
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-28361Local ID: JTHIndustriellISOAI: oai:DiVA.org:hj-28361DiVA, id: diva2:872985
Available from: 2015-11-21 Created: 2015-11-21 Last updated: 2015-11-24Bibliographically approved

Open Access in DiVA

fulltext(194 kB)233 downloads
File information
File name FULLTEXT01.pdfFile size 194 kBChecksum SHA-512
ffba88ee5f26975b154492283fdb58cf0e126c0b1e5e649906d679e5ed85e2d1cbde75fbbf350f71f18b8c34769ab9a41ebbd2909914d52f7c31acb940ef5475
Type fulltextMimetype application/pdf

Authority records

Hilletofth, Per

Search in DiVA

By author/editor
Hilletofth, Per
By organisation
JTH, Industrial Engineering and ManagementJTH. Research area Industrial Production
Business Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 233 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 881 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf