ONTOLOGICAL PROBLEMS OF PLURALIST RESEARCH METHODOLOGIES

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ONTOLOGICAL PROBLEMS OF PLURALIST RESEARCH METHODOLOGIES Donald J Falconer and David R Mackay School of Management Information Systems Faculty of Business and Law Deakin University Geelong 3217 Australia e-mail: D.Falconer@unisa.edu.au January 1999

ONTOLOGICAL PROBLEMS OF PLURALIST RESEARCH METHODOLOGIES Abstract This paper explores relationships between interpretivist and positivist information systems research. The philosophical bases of these research methodologies are used to evaluate suggested pluralistic research designs. Three calls for methodological pluralism are shown to be unsoundly based as they appear not to have considered the implications of adopting the basic assumptions upon which their epistemologies rest. Interpretivist and positivist research designs are complementary in that, together, they allow researchers to learn more of a phenomenon than is possible by adopting a singular view of the world. INTRODUCTION An examination of the information systems (IS) and social philosophy literature reveals that much has been written on the relevance of different research methodologies. Within the information systems research community several authors have called for the combining of interpretive and positivist research methodologies. This is an issue which is central to research design. This paper reviews three such calls by IS researchers and argues that crossparadigmatic research is ill-founded. An alternative, inclusive understanding of the relationships between different forms of IS research will be offered. This alternative view is based on an acceptance of different research methodologies as philosophical equals. PHILOSOPHICAL APPROACH This paper is founded on the four sets of assumptions related to ontology, epistemology, human nature and methodology used by Burrell and Morgan (1979) to develop their fourparadigm model of social theory. They suggest that the four paradigms are mutually exclusive in that they are based on alternative views of social reality. Burrell and Morgan s discrete paradigms have given rise to much debate on the issue of paradigm incommensurability (DeCock et al., 1995; Deetz, 1996; Hassard, 1991; Parker and McHugh, 1991; Weaver and Gioia, 1994; Willmott et al., 1993). Deetz (1996) argues that the incommensurability debate is a non-issue. Non-positivist methodologies have been effectively marginalised when viewed by positivists from a positivist perspective. A neutral viewpoint allows interpretivist and positivist methodologies to assume status as equals. Once they are accorded equal status as different tools for different purposes, incommensurability is no longer an issue. Crossparadigmatic research designs can then be seen in terms of failure to recognize the intrinsic worth and nature of alternative methodologies. The four sets of underlying assumptions can be used to examine research activities for consistency of approach: that is, that the epistemology, theory of human nature and methodology are consistent with the underlying ontological assumptions of the social world. The issue of ontology lies prior to and governs subsequent epistemological and methodological assumptions (Chua, 1986 p. 604). Methodological pluralism has long been advocated by social science researchers. (Denzin, 1970; Webb et al., 1966) However, methodological pluralism based on different ontologies is

argued by many researchers to be without sound foundation. (Cavaye, 1996; Deetz, 1996; Hassard, 1993; Silverman, 1993, 1998) Positivist researchers... often reduce the difference in qualitative and quantitative research to different ways to collect data and, thereby, retain the dream of triangulation as if different research programs simply provide additive insights into the same phenomenon. (Deetz 1996, p194) Different modes of research allow us to understand different phenomena and for different reasons. (Deetz 1996) The methodology chosen depends on what one is trying to do rather than a commitment to a particular paradigm. (Cavaye 1996) CALLS FOR METHODOLOGICAL PLURALISM IN IS RESEARCH Kaplan and Duchon (1988), Lee (1991) and Gable (1994) have all called for the use of pluralist IS research methodologies incorporating both positivist and interpretive research methodologies. In the light of arguments against pluralism, their calls should be examined. Kaplan and Duchon (1988) reported how they combined quantitative and qualitative methods in a longitudinal multidisciplinary study. They suggest that combining quantitative and qualitative methods introduces both testability and context into the research (1988 p. 575). Knowledge gained from the qualitative collection of data was used to inform the quantitative survey. It would appear that this work was primarily focused on gaining insights that were possible using quantitative methods, and that interviews and observations were used to assist this purpose. At no time do Kaplan and Duchon (1988) appear to use or refer to paradigms or frameworks of enquiry. They are totally silent on underlying ontology. They do not consider the issue of concordance of epistemology, human nature and methodology with their ontological beliefs. They appear to adopt an epistemology if it seems right without considering the underlying ontological assumptions. Their paper does not appear to offer insights gained through qualitative research that were not later verifiable quantitatively. It is our contention that Kaplan and Duchon s argument for combining methods across paradigms is unsound. They have not demonstrated the effective combining of properly constituted qualitative research with traditional quantitative methodologies. In a later paper, Lee attempts to provide... a refutation to the widely held notion that the positivist and interpretive approaches are opposed and irreconcilable. and seeks to demonstrate how the these two approaches to organizational research can be mutually supportive, rather than mutually exclusive (1991 p. 342) Lee (1991) integrates the two approaches into a single framework consisting of three levels of understanding. Lee s first level is the understanding of phenomena that belongs to the observed human subjects. Lee s second level of understanding is that of the observing researcher. This understanding is the researcher's reading or interpretation of the first level, common sense understanding. This understanding is intended to be of an interpretive nature. Lee s third level of understanding also belongs to the observer. This is an understanding that is characterized by its ability to be able to be the subject of hypothesis development and empirical testing. Lee contends that this type of scientific understanding is necessary to... posit the existence of unobservable entities (such as social structure) (1991 p. 351). Lee refers to these levels as the subjective understanding, the interpretive understanding, and the positivist understanding (1991 p. 351). Lee asserts that this framework provides for an interpretive understanding that can form the basis of a positivist understanding so that

interpretive findings can be subjected to traditional positivist testing. In a similar vein to Kaplan and Duchon, Lee considers interpretive research to be something that is a precursor to positivist research. It is not considered to be an activity that can or should stand alone as a valid method of enquiry, focusing on particular aspects of phenomena. Similarly, Lee ignores the issue of ontology and the relationship between underlying ontological assumptions and epistemology. We believe Lee has not made a valid case for combining cross-paradigmatic epistemologies. Rather, he appears to be calling for careful preparation prior to undertaking positivist research. Gable (1994) takes another approach to the question of integrating qualitative and quantitative research methodologies. He begins by arguing the strengths and weaknesses of case study and survey research. He then calls for research methodologies that integrate case study and survey methodologies. Gable states that case study methodologies have had extensive application in information systems research. He cites Yin (1994) who suggests that case studies are appropriate where the objective is to study contemporary events. and where it is not necessary to control behavioral events or variables. He cites Van Maanen (1983) who considers that the necessary contextual understanding is unlikely to be achieved without direct or intimate knowledge of a research setting. In contrast, Gable (1994 p. 114) claims... the survey approach provides only a snapshot of the situation at a certain time, yielding little information on the underlying meaning of the data. Moreover, some variables of interest to a researcher may not be measurable by this method. He also claims that survey research is... inflexible to discoveries...made during data collection Thus, Gable claims, survey research usually serves as a methodology of verification rather than discovery. Gable commences his call for integrating case study and survey research by citing a number of authors who have labeled survey and fieldwork in information systems research as complementary and that it is always best to use several methods of data collection... to address adequately the impacts of information technology (Gable 1994 p. 114). Gable (1994 p. 115) refers to this research strategy as having several names: multi-method,/multi-trait (Campbell & Fiske 1959), convergent validation, or what has been called triangulation (Webb et al. 1966). He cites Kaplan and Duchon who claim the use of multiple methods increase the robustness of the results Gable (1994 p. 115). Gable calls for... tolerance of methodological pluralism and recognition of method and personal bias (1994 p. 115). He then follows this with a specific proposal, that of combining case studies with surveys. His stated model for integrating case study and survey research is that case studies may be used to inform a researcher who then prepares testable hypotheses that may be subjected to positivist research methods. Like others before him, Gable appears to see case study research in terms of preparing oneself to undertake the real research. This approach does not recognize the domain of knowledge that interpretive research opens to a researcher and that this domain is not necessarily identical to that of positivist research. It does not recognize the stand-alone contributions to knowledge that interpretive research can make that do not need validation through follow-up empirical work. Or, for that matter, contributions that, by their nature, cannot be verified by empirical work. CONCLUSION The three papers evaluated all appear to fail to reconcile the different underlying ontological assumptions of the methods they argue should be combined. All three papers seem not to

recognize the intrinsic differences and relevance of different research methodologies. Knowledge gained by interpretive methodologies is not something that can be verified by further positivist research. Nor does it need to be; it stands on its own merit. Interpretive research has often been viewed by positivist researchers from a positivist perspective. This tends to promote a view of interpretive work as a subordinate or supporting activity; something that might be done prior to or in support of positivist research. A neutral viewpoint allows researchers to see each type of research as philosophically and logically equal. The methodology employed must match the particular phenomenon of interest. Different phenomena may require the use of different methodologies. By focusing on the phenomenon under examination, rather than the methodology, researchers can select appropriate methodologies for their enquiries.

REFERENCES Burrell, G. and Morgan, G. Sociological Paradigms and Organisational Analysis, London, Heinemann, 1979. Campbell, D. T. and Fiske, D. Convergent and discriminant validation by the multitraitmultimethod matrix, Psychological Bulletin, (51), 1959, pp. 81 105. Cavaye, A. L. M. Case study research: a multi-faceted research approach for IS., Information Systems Journal, (6:3), 1996, pp. 227 242. Chua, W. F. Radical developments in accounting thought., The Accounting Review, (61), 1986, pp. 601 632. DeCock, C., and Rickards. T., et al. A rejoinder to and reply from Weaver and Gioia, Organization Studies (16:4) 1995, pp. 699 704. Deetz, S. Describing differences in approaches to organization science: Rethinking Burrell and Morgan and their legacy, Organization Science, (7:2), 1996, pp. 191 207. Denzin, N. The Research Act in Sociology, London, Butterworth, 1970. Gable, G. Integrating case study and survey research methods: an example in information systems, European Journal of Information Systems, (3:2), 1994, pp. 112 126. Hassard, J. Sociology and Organization Theory: Positivism, Paradigms and Postmodernity, Cambridge, Cambridge University Press, 1993. Hassard, J. Multiple paradigms and organizational analysis: a case study, Organization Studies, (12:2). 1991, pp. 275 299. Kaplan, B. and Duchon, D. Combining qualitative and quantitative methods in information systems research: a case study, MIS Quarterly, (12:4), 1988, pp. 571 586. Lee, A. S. Integrating positivist and interpretive approaches to organizational research, Organization Science, (2), 1991, pp. 342 365. Parker, M. and McHugh, G. Five texts in search of an author: a response to John Hassard's "Multiple paradigms and organizational analysis", Organization Studies, (12:3), 1991, pp. 451 456. Silverman, D. Interpreting Qualitative Data, London, Sage Publications, 1993. Silverman, D. Qualitative research: meanings or practices?, Information Systems Journal, (8:1), 1998, pp. 3 20. Van Maanen, J., (Ed.) Qualitative Methodology, Sage Publications, Newbury Park, California, 1983. Weaver, G. R. and Gioia, D. Paradigms lost: incommensurability vs structurationist inquiry, Organization Studies, (15:4), 1994, pp. 565 589. Webb, E., Campbell, D. T., et al. Unobtrusive Measures: Nonreactive Research in the Social Sciences, Chicago, Rand-McNally, 1966. Willmott, H., and Jackson, N., et al. Breaking the paradigm mentality; comment; reply, Organization Studies, (14:5), 1993, pp. 681 730. Yin, R. K. Case Study Research, Design and Methods, Newbury Park, Sage Publications, 1994.