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Bundle of practices versus TQM principles and their prediction for productivity
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.). The Swedish Work Environment Authority, Sweden.ORCID iD: 0000-0001-9257-4607
2011 (English)In: Yearbook on Productivity 2011 / [ed] Hans-Olof Hagén, Stockholm: Statistics Sweden , 2011, p. 35-97Conference paper, Published paper (Other academic)
Abstract [en]

The main objective in this study is to compare the traditional TQM management concept with contemporary used learning and work practices in firms in the business sector in Sweden. Will the use of one or both of the concepts predict higher value added per employee? The two management concepts are used as measurements of endogenous activities in the firm and are included in growth models. The concepts are based on new data from the Swedish Meadow Survey 2009/10 and matched with innovation data, ICT data and register data for the year 2008 from Statistics Sweden. The Meadow Survey is based on the new proposed guideline of how to harmonise the collection and interpretation of data concerning work organisation and competence development in the European Union countries.

Place, publisher, year, edition, pages
Stockholm: Statistics Sweden , 2011. p. 35-97
Series
Yearbook on Productivity 2011, ISSN 1654-0506
Keyword [en]
productivity, management, learning, practices, at work, bundles, factor analysis, regression analysis
Keyword [sv]
produktivitet, ledning, lärande, i arbete, grupper, praxis, bundles, fak-toranalys, regressionsanalys
National Category
Social Sciences Engineering and Technology
Research subject
Industrial Economics and Management
Identifiers
URN: urn:nbn:se:kth:diva-218300OAI: oai:DiVA.org:kth-218300DiVA, id: diva2:1160441
Conference
Saltsjöbaden Conference October 2011
Projects
Statistics Sweden project: Organisation, growth and work environment (finished 2016)
Note

URN:NBN:SE:SCB-2011-X76BR1101_pdf (pdf)

QC 20171128

Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2017-11-28Bibliographically approved
In thesis
1. Learning at Work and Productivity in Swedish Business Firms: Based on the Swedish MEADOW Survey 2009/2010
Open this publication in new window or tab >>Learning at Work and Productivity in Swedish Business Firms: Based on the Swedish MEADOW Survey 2009/2010
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The background of the thesis is the ongoing struggle for better understanding of driving forces for economic growth. Some important and rewarding new steps have been taken the last decades in the research of economic growth theory. For example, the theory includes not only the use of technology but also the creation and implementation of new technology entwined with management and learning practices at work. However, the development of knowledge on the matter can be described as slow. The explanation is argued to be the lack of data, which complicates and prevents the development of theory. The lack of data and the intertwined dependence with the development of theory in the matter constitutes the starting point for the research in the thesis.

The purpose of this thesis is to contribute to the development of measures of management of work and learning practices at work that can be used in productivity models. The analyses are based on the micro-level data from the Swedish MEADOW Survey 2009/2010, at Statistics Sweden. Factor and regression analysis are performed, other analytical techniques are also used.

Some key findings of how management and learning practices at work can be described and measured show that the business firms use the different practices in bundles. The findings indicate synergy effects on performance when more than one management and learning practice is applied. Two different management approaches are tested, both models predict productivity. However, there is a difference in the productivity model a such when it includes the two management approaches; the measure of the contemporary use has a better fitness then the theoretical model. Focus and delimitations of research questions in the forthcoming doctoral dissertation are discussed, see Future Research – the Logic Next Step, in Chapter 6. Final Reflections.

Abstract [sv]

Bakgrunden till avhandlingen är den ständigt pågående kampen för bättre förståelse om drivkrafter för ekonomisk tillväxt. Några väsentliga steg har tagits de senaste decennierna inom forskningen om ekonomisk tillväxtteori. Exempelvis, idag innefattar teorin inte bara användningen av teknik utan också skapandet och genomförandet av ny teknik samt hur tekniken är förbunden med ledning och lärande i arbete. Kunskapsutvecklingen kan dock beskrivas som långsam. En förklaring och ett argument är bristen på data, vilket komplicerar och förhindrar utvecklingen av teorin. Bristen på data i den aktuella frågan och det sammanflätade beroendet med teoriutvecklingen är utgångspunkten för forskningen i avhandlingen.

Syftet med avhandlingen är att bidra till utveckling av indikatorer om ledning av arbete och lärande i arbete som kan inkluderas i produktivitetsmodeller och som kan användas för att förstå ekonomisk tillväxt bättre. Uppgifterna som används i avhandlingen är mikronivådata (micro-level data) från Statistiska centralbyråns Swedish MEADOW Survey 2009/2010. Faktor- och regressionsanalys används, vissa andra analytiska tekniker används också.

Några nyckelresultat om hur ledning och lärande i arbetet kan beskrivas och mätas visar att företagen använder de olika sätten i grupper av praxis ”bundles”. Resultaten visar synergieffekter på företagets prestationsförmåga när mer än en lednings- och inlärningspraxis tillämpas. Två olika sätt för hur att mäta ledning och lärande i arbete används, båda förutsäger produktivitet. Dock finns det en skillnad i produktivitetsmodellen mellan de två olika sättet att mäta: när faktisk användning mäts ger det högre förklaringsgrad än den teoretiska modellen. Inriktning och avgränsning av forskningsfrågor i den kommande planerade doktorsavhandlingen diskuteras, se Future Research – the Logic Next Step, i Chapter 6. Final Reflections.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. p. 127
Series
TRITA-IEO, ISSN 1100-7982 ; 2017:12
Keyword
productivity, management, learning, competence, development, practices, at work, bundles, factor analysis, regression analysis, produktivitet, ledning, lärande, kompetens, utveckling, i arbete, grupper, praxis, bundles, faktoranalys, regressionsanalys
National Category
Social Sciences Interdisciplinary
Research subject
Industrial Economics and Management
Identifiers
urn:nbn:se:kth:diva-218343 (URN)978-91-7729-629-4 (ISBN)
Presentation
2017-12-18, Hall 443, Sing sing, KTH, Lindstedtsvägen 30 SE-100 44 Stockholm, Stockholm, Sweden, 10:00 (English)
Opponent
Supervisors
Projects
Statistics Sweden project: Organisation, growth and work environment (finished 2016)
Note

QC 20171128

Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2018-01-13Bibliographically approved

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