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A Specific Method Developed for Carrying Questionnaire Surveys. How to amalgamate operators’ perception with e.g. production system design and also to organisational units within hospitals. Explanations and some short examples

Tomas Engström (Institutionen för teknikens ekonomi och organisation, Supply and Operations Management ) ; Bo Blomquist ; Lars Sundström

This article (or preprint) is a more commonly orientated summary of some of the authors’ research and development work, than what have been published before, regarding questionnaire surveys carried out by the authors during a number of decades. Particularly so by means of explaining a specific method developed and practiced by us for carrying out such surveys in order to make them more scientific valuable in particular senses that will become obvious for the readers. In addition, this specific method was at first developed and practiced for the automotive and manufacturing industry in order to thereafter be modified for yet another sector of the society. Namely for the health-care sector. Firstly, this means that at first (1992 – 2004) were a number plants and/or production systems evaluated (e.g. various Volvo operations located here and there in Sweden, as well as for a truck manufacturing plant located in Mölnlycke) (the Volvo operations were located in Torslanda, Tuve, Uddevalla, Umeå etc. but also for the manufacturing of fork-lift trucks at Atlet AB. These plants and/or production systems were featuring approximate 50 – 1 200 employees. The two most recent questionnaire surveys were also including the category of white-collar employees included, while the earlier ones solely comprised the blue-collar employees) (i.e. for Volvo Buss plant and for Atlet AB were this additional category included). Moreover, fortunately and somewhat unusual for most questionnaire surveys, were all of these questionnaire surveys total investigations that comprised all of the employees within the categories studied (i.e. not just a sample of operators). Thus, were the necessary statistical analyses obviously simplified in some particular respects. Secondly, were Skaraborgs Sjukhus located within the region of Västra Götaland engaged (2011 – 2015), i.e. four hospitals that were and are located in the towns denoted Falköping, Lidköping, Mariestad and Skövde with approximate 4 500 employees, in focus for us. Our engagement, in this case, was initially dealing with the yearly questionnaire surveys remitted to all employees regarding work and work conditions. That is. the so-called co-workers’ questionnaires surveys, as have been and still are practiced within e.g. all public Swedish hospital, as well as within some other private and public sectors. Thereafter were quite other matters of a more geographical nature tickling our interest. For the automotive cases were we especially competent due to the fact that one of the authors had before (1985 – 1992) disassembled both several automobiles and one heavy truck chassis, this as a part of his earlier long-time research and development work to design several assembly systems. A feat that in addition during this period of time were complemented by investigate and also reconfigure the product information for the products disassembled. Thereby were the physical products, as well as the less obvious anomalies of information systems, possible to be mastered in ways that were and still are quite uncommon for most scientists. A deeper understanding of a number of different methods was thus gained before the method for questionnaires studies became of interest. However, these methods are explained in some of the authors other publications. We were in these automotive cases already from the beginning owning a sort of reference for the work to understand both the product and the function of production systems in question (interpreting or cross-reference of information contained in various information systems were most certainly facilitated by this knowledge of, so to say, the true product information and product architecture). That is, in fact, based on an even more early experience (predating the industrial co-operation now here referred to) (1976 – 1984), were there in fact no other way judged to be as possible to use. (The authors colleagues and this senior research competencies obtained possibilities to have an experimental workshop outside Chalmers university and also obtained products to be disassembled. This workshop was in operation for more than eight years due to their involvements in the design, running-in and full-scale production phases of a number of Volvo plant and/or production systems.) On the other hand, for the four hospitals, were such sorts of references not initially at hand for us (neither was any experimental workshop or products relevant to get hold of) (this was a research and development work carried out mainly within building facilities of Chalmers University and within the four hospitals). That is, we were instead, in this case, required to, as before, compare (cross-refer) information from various sources by means of a number of different methods that will be clarified it this article (or preprint). And, to thereafter compare these results with results from particular inventories.

This article (or preprint) was authored during the period of time just after one of the two authors retirement from Chalmers University. At least two reasons for publishing are thus thereby at hand, (1) specific research findings have gradually become somewhat embarrassing for the authors, since these are not yet formally made public for other scientist in the traditional academic ways. While at the same time (2) also the computer facilities still were accessible for them to register articles (or preprints) using Chalmers Public Library (CPL) (i.e. the formal library at this university).

Denna post skapades 2017-06-01.
CPL Pubid: 249547


Institutioner (Chalmers)

Institutionen för teknikens ekonomi och organisation, Supply and Operations Management
Institutionen för sociologi och arbetsvetenskap (GU)


Annan naturvetenskap
Annan teknik

Chalmers infrastruktur