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Autoethnography and Theory Testing.

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Title: Autoethnography and Theory Testing.
Authors: Livesey, Peter Vincent1 peter.livesey@uts.edu.au, Runsen, Goren1 karl.runeson@uts.edu.au
Source: Construction Economics & Building. 2018, Vol. 18 Issue 3, p40-54. 15p.
Subjects: Autoethnography, Common method variance, Willingness to pay
Abstract: One of the problems in construction management research is how to harvest the living experience of people working in the profession. Surveys and interviews are the common methods, but they have obvious problems, not only with defining terminology and targeting the appropriate populations but also with the knowledge of the respondents and their willingness to reflect. Different forms of ethnography, in their conventional forms overcome most of these problems, but create a new set of problems, particularly in terms of our ability to generalise and verify the results. The purpose of this paper is firstly to advocate that one such approach: autoethnography, which allows researchers to introduce their own lived experience into their research and secondly, to show how this approach can be structured to overcome common - and justified - objections to autoethnography. To do this we use a study involving a recent research project investigating the importance of emotional intelligence (EI) in the management of large projects. The paper shows that autoethnography can be applied analytically and rigorously so that it can be used for theory testing and theory building. In doing so, it opens up an untapped source of data to researchers - their own living experience. [ABSTRACT FROM AUTHOR]
Copyright of Construction Economics & Building is the property of University of Technology, Sydney and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="AR" term="%22Livesey%2C+Peter+Vincent%22">Livesey, Peter Vincent</searchLink><relatesTo>1</relatesTo><i> peter.livesey@uts.edu.au</i><br /><searchLink fieldCode="AR" term="%22Runsen%2C+Goren%22">Runsen, Goren</searchLink><relatesTo>1</relatesTo><i> karl.runeson@uts.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Construction+Economics+%26+Building%22">Construction Economics & Building</searchLink>. 2018, Vol. 18 Issue 3, p40-54. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Autoethnography%22">Autoethnography</searchLink><br /><searchLink fieldCode="DE" term="%22Common+method+variance%22">Common method variance</searchLink><br /><searchLink fieldCode="DE" term="%22Willingness+to+pay%22">Willingness to pay</searchLink>
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  Data: One of the problems in construction management research is how to harvest the living experience of people working in the profession. Surveys and interviews are the common methods, but they have obvious problems, not only with defining terminology and targeting the appropriate populations but also with the knowledge of the respondents and their willingness to reflect. Different forms of ethnography, in their conventional forms overcome most of these problems, but create a new set of problems, particularly in terms of our ability to generalise and verify the results. The purpose of this paper is firstly to advocate that one such approach: autoethnography, which allows researchers to introduce their own lived experience into their research and secondly, to show how this approach can be structured to overcome common - and justified - objections to autoethnography. To do this we use a study involving a recent research project investigating the importance of emotional intelligence (EI) in the management of large projects. The paper shows that autoethnography can be applied analytically and rigorously so that it can be used for theory testing and theory building. In doing so, it opens up an untapped source of data to researchers - their own living experience. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Construction Economics & Building is the property of University of Technology, Sydney and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.5130/AJCEB.v18i3.6139
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      – Code: eng
        Text: English
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        PageCount: 15
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      – SubjectFull: Autoethnography
        Type: general
      – SubjectFull: Common method variance
        Type: general
      – SubjectFull: Willingness to pay
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              Text: 2018
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