Models for Interpretive Information Systems Research, Part 1

Author(s):  
M. R. (Ruth) De Villiers

Interpretive research designs are increasingly being applied in Information Systems (IS). This chapter is a meta-research study that briefly explains the concepts of positivism, interpretivism, and qualitative and quantitative research, before overviewing the advent of interpretive IS research. The chapter then presents two interpretive models that can serve as research designs for postgraduate studies and ad-hoc research. Action research, which originated in the social sciences, involves longitudinal studies, in which the researcher participatively investigates products or interventions that address real-world problems over several cycles, in a reflective and responsive way. Grounded theory can serve as a research method, as well as a full research design, since it can be integrated into other models as an analysis approach. Grounded theory is applied to generate themes, patterns, and theories from continuous collection, coding, and analysis of contextual data. The patterns and grounded theories emerge inductively, and are expanded and refined as further data is gathered.

Author(s):  
Deirdre Hynes ◽  
Helen Richardson

This chapter introduces and discusses domestication theory—essentially about giving technology a place in everyday life—and its relevance and importance to information systems (IS) research. The authors discuss domestication within the context of the social shaping of technology and critique use and adoption theories more widely found in IS studies. The authors illustrate how domestication theory underpins studies of how Irish households find ways of using computers (or not) in their everyday life and research into the use of ICTs in UK gendered households. In conclusion they outline how developments in domestication theory can contribute to future IS research.


1996 ◽  
Vol 11 (3) ◽  
pp. 235-246 ◽  
Author(s):  
Richard L. Baskerville ◽  
A. Trevor Wood-Harper

This paper reviews the origins, techniques and roles associated with action research into information systems (IS). Many consider the approach to be the paragon of post-positivist research methods, yet it has a cloudy history among the social sciences. The paper summarizes the rigorous approach to action research and suggests certain domains of ideal use (such as systems development methodology). For those faced with conducting, reviewing or examining action research, the paper discusses various problems, opportunities and strategies.


Author(s):  
Sven A. Carlsson

The information systems (IS) field is dominated by positivistic research approaches and theories (Chen & Hirschheim, 2004). IS scholars have pointed out weaknesses in these approaches and theories and in response different strands of post-modern theories and constructivism have gained popularity— see, Lee, Liebenau, and DeGross (1997) and Trauth (2001). The approaches argued for include ethnography, constructivism, grounded theory, and theories like Giddens’ structuration theory and Latour’s actor-network theory. (We refer to these different research approaches and theories as “post-approaches” and “post-theories” when distinction is not required).


2011 ◽  
Vol 16 (1) ◽  
pp. 27-34 ◽  
Author(s):  
Mohanad Halaweh

This paper argues that the grounded theory method (GTM) is a positivist-oriented research method from a methodological standpoint. It argues that following the systematic procedures, principles, and mechanism of conducting the research and creating knowledge and theories, and the unavoidable influence of the literature, places GTM under the umbrella of the positivist paradigm. It also sheds some light on practical issues that information systems (IS) researchers face when applying GTM such as applying theoretical sampling and coding in GTM, concerns of presenting GTM data, and the politics of applying GTM. These issues, which are methodological in nature, and their implications will also be discussed.


2013 ◽  
Vol 6 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Hossam Ali-Hassan

Social capital represents resources or assets rooted in an individual’s or group’s network of social relations. It is a multidimensional and multilevel concept characterized by diverse definitions and conceptualizations, all of which focus on the structure and/or on the content of the social relations. A common conceptualization of social capital in information systems research consists of a structural, relational and cognitive dimension. The structural dimension represents the configuration of the social network and the characteristics of its ties. The relational dimension epitomizes assets embedded in the social relations, such as trust, obligations, and norms of reciprocity. The cognitive dimension is created by common codes, languages and narratives, and represents a shared context that facilitates interaction. To singular or collective network members, social capital can be a source of solidarity, information, cooperation, collaboration and influence. Ultimately, social capital has been and will remain sound theoretical grounding upon which to study information systems affected by social relationships and their embedded assets.


Author(s):  
Reza Mojtahed ◽  
Guo Chao Peng

Explaining the factors that lead to use and acceptance of Information Technology (IT), both at individual and organizational levels, has been the focus of Information Systems (IS) researchers since the 1970s. The Technology Acceptance Model (TAM) is known as such an explanatory model and has increasingly gained recognition due to its focus on theories of human behaviour. Although this model has faced some criticism in terms of not being able to fully explain the social-technical acceptance of technology, TAM is still known as one of the best IS methodologies that contribute greatly to explain IT/IS acceptance. It has been widely used in different areas of IS studies, such as e-commerce, e-business, multimedia, and mobile commerce. This chapter discusses, describes, and explains TAM as one of the well-known information system research models and attempts to demonstrate how this model can be customised and extended when applyied in practice in IS research projects. In order to illustrate this, the chapter presents and discussed two case studies, respectively, applying TAM in the areas of mobile banking and mobile campus in the UK. It is also proposed that comparing with the traditional questionnaire approach, mixed-methods designs (that contain both a quantitative and a qualitative component) can generate more meaningful and significant findings in IS studies that apply the TAM model. The practical guidance provided in this chapter is particularly useful and valuable to researchers, especially junior researchers and PhD students, who intend to apply TAM in their research.


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