5,865,465 research outputs found

    Integrating case study and survey research methods: An example in information systems

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    The case for combining research methods generally, and more specifically that for combining qualitative and quantitative methods, is strong. Yet, research designs that extensively integrate both fieldwork (e.g. case studies) and survey research are rare. More¬over, some journals tend tacitly to specialize by methodology thereby encouraging purity of method. The multi-method model of research while not new, has not been appreciated. In this respect it is useful to articulate and describe its usage through example. By reference to a recently completed study of IS consultant engagement success factors this paper presents an analysis of the benefits of integrating case study and survey research methods. The emphasis is on the qualitative case study method and how it can compliment more quantitative survey research. Benefits are demonstrated through specific examples from the reference study.</i

    Research Methods in Library and Information Science

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    Library and information science (LIS) is a very broad discipline, which uses a wide rangeof constantly evolving research strategies and techniques. The aim of this chapter is to provide an updated view of research issues in library and information science. A stratified random sample of 440 articles published in five prominent journals was analyzed and classified to identify (i) research approach, (ii) research methodology, and (iii) method of data analysis. For each variable, a coding scheme was developed, and the articles were coded accordingly. A total of 78% of the articles reported empirical research. The rest 22% were classified as non‐empirical research papers. The five most popular topics were “information retrieval,” “information behaviour,” “information literacy,” “library services,” and “organization and management.” An overwhelming majority of the empirical research articles employed a quantitative approach. Although the survey emerged as the most frequently used research strategy, there is evidence that the number and variety of research methodologies have been increased. There is also evidence that qualitative approaches are gaining increasing importance and have a role to play in LIS, while mixed methods have not yet gained enough recognition in LIS research

    The Significance of Mixed Methods Research in Information Systems Research

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    This paper discusses the significance of mixed methods research in information systems (IS) research. Mixed methods research allows a more holistic view in studying information systems (IS). It is useful in understanding the information systems world which is both social and natural in nature to present a full picture of the phenomenon. Mixed methods research therefore removes the limitation of the traditional approaches as one approach’s weakness is complemented by the other approach’s strength. The mixed methods research rationale is that no single research approach is sufficient by itself to capture the breadth and depth of complex IS research. This study is guided by the following question: What is the significance of mixed methods in information systems research? This paper therefore argues that mixed methods research provides an escape for IS researchers from the trap of seeing research as a single research design instead of benefiting from the best of both worlds

    An investigation into methods and concepts of qualitative research in information system research.

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    This paper is an initial review of literature, investigating qualitative research, to show its relevance in information system disciplines. Qualitative research involves the use of qualitative data, such as interviews, documents, and participant observation data, to understand and explain social phenomena. Qualitative research can be found in many disciplines and fields, using a variety of approaches, methods and techniques. In Information Systems (IS), there has been a general shift in information system research away from technological to managerial and organizational issues, hence an increasing interest in the application of qualitative research methods. Frequently used methods are the action research, case study, ethnography and grounded theory. Review of each research approaches in qualitative methods, will be discussed. Important considerations in the methods are identified, and cases for each research method are described. Then we will present some benefits and limitations of each method. Based on the result, a framework of an action research was proposed and might be useful in starting a research project in information system using qualitative method

    Historical Development of Research Methods in the Information Systems Discipline

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    In this article, we report on an investigation that integrated the results from twenty meta-studies on research methods asidentified by a thorough literature review. By conducting this investigation, we seek to reconstruct the historical developmentof research methods in the Information Systems (IS) discipline. Major results of the investigation are: Only the classicalempirical methods (survey, case study, laboratory experiment, and field experiment) have been the subject of intensivediscussion. Survey, case study, and laboratory experiment demonstrate an upward tendency in their historical developmentduring the past forty years (1968-2006), whereas the field experiment does not. The investigation reveals an average adoptionrate of 24 percent for the survey, 13 percent for the case study, 10 percent for the laboratory experiment, and 3 percent for thefield experiment. Finally, we have not observed radical methodological changes in the IS discipline. Key findings and theirimplications for the future development of the IS discipline are discussed

    USING ENTERPRISE INFORMATION ARCHITECTURE METHODS TO MODEL WICKED PROBLEMS IN INFORMATION SYSTEMS DESIGN RESEARCH

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    Design Science is the process of solving ‘wicked problems’ through designing, developing, instantiating, and evaluating novel solutions (Hevner, March, Park and Ram, 2004). Wicked problems are described as agent finitude in combination with problem complexity and normative constraint (Farrell and Hooker, 2013). In Information Systems Design Science, determining that problems are ‘wicked’ differentiates Design Science research from Solutions Engineering (Winter, 2008) and is a necessary part of proving the relevance to Information Systems Design Science research (Hevner, 2007; Iivari, 2007). Problem complexity is characterised as many problem components with nested, dependent and co-dependent relationships interacting through multiple feedback and feed-forward loops. Farrell and Hooker (2013) specifically state for wicked problems “it will often be impossible to disentangle the consequences of specific actions from those of other co-occurring interactions”. This paper discusses the application of an Enterprise Information Architecture modelling technique to disentangle the wicked problem complexity for one case. It proposes that such a modelling technique can be applied to other wicked problems and can lay the foundations for proving relevancy to DSR, provide solution pathways for artefact development, and aid to substantiate those elements required to produce Design Theory

    Mixed-Methods in Information Systems Research: Status Quo, Core Concepts, and Future Research Implications

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    Mixed-methods studies are increasing in information systems research, as they deliver robust and insightful inferences combining qualitative and quantitative research. However, there is considerable divergence in conducting such studies and reporting their findings. Therefore, we aim (1) to evaluate how mixed-methods studies have developed in information systems research under the existence of heavily used guidelines and (2) to reflect on those observations in terms of potential for future research. During our review, we identified 52 mixed-methods papers and quantitatively elaborated on the adherence to the three core concepts of mixed-methods in terms of purpose, meta-inferences, and validation. Findings discover that only eight adhere to all three of them. We discuss the significance of our results for current and upcoming mixed-methods research and derive specific suggestions for authors. With our study, we contribute to mixed-methods research by showing how to leverage the insights from existing guidelines to strengthen future research and by contributing to the discussion of the legislation associated with research guidelines, in general, presenting the status quo in current literature

    Mixed methods research in library and information science: A methodological review

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    Objective - To review mixed methods research trends in the field of library and information science (LIS). In particular, we examine the extent to which research about or using mixed methods has been occurring in library and information science over the past decade (2008-2018), and how much of that mixed methods research is done in health contexts. Methods - We conducted a methodological review and analysis of mixed methods research (MMR) in LIS for published articles indexed in LISTA and Web of Science. After deduplication and verification for inclusion, we coded 417 articles to identify contributions using or about MMR. Given the connections between evidence based practice in health and LIS, we also identified whether articles about or using mixed methods were health-focused. Results - We found MMR to be a tiny proportion (less than 0.5%) of the overall LIS research literature. In terms of observable trends, while contributions about MMR remain fairly static, there has been an increase in articles using mixed methods. Of the 417 included articles, 373 (89.5%) primarily used mixed methods and 44 (10.5%) were primarily about MMR. Results also demonstrated that health-related research both using and about mixed methods has a strong presence in the LIS literature, with 136 published articles (32.6% of the total). Conclusion - Confirming findings of prior analyses of research methods in LIS, our methodological review shows current opportunities to adopt and expand the use of mixed methods research processes. Further contributions about mixed methods research, and ideally connecting research and practice in LIS, are needed. Despite the small proportion of MMR in LIS research, there is an observable increase in the number of publications using mixed methods during this timeframe. The LIS research community can promote additional growth by leveraging this momentum around using mixed methods, and look to translate lessons learned about mixed methods research and practice in health contexts to other LIS settings. Recommendations include developing educational opportunities and learning resources that facilitate wider engagement with MMR in LIS contexts

    The Evolving Landscape of Research Methods in Library and Information Science

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    The library and information science (LIS) profession is influenced by multidisciplinary research strategies and techniques (research methods) that in themselves are also evolving. They represent established ways of approaching research questions (e.g., qualitative vs. quantitative methods). This chapter reviews the methods of research as expressed in literature, demonstrating how, where, and if they are inter-connected. Chu concludes that popularly used approaches include the theoretical approach, experiment, content analysis, bibliometrics, questionnaire, and interview. It appears that most empirical research articles in Chu\u27s analysis employed a quantitative approach. Although the survey emerged as the most frequently used research strategy, there is evidence that the number and variety of research methods and methodologies have been increasing. There is also evidence that qualitative approaches are gaining increasing importance and have a role to play in LIS, while mixed methods have not yet gained enough recognition in LIS research

    WEBOMETRICS RESEARCH METHODS ADOPTED IN LIBRARY AND INFORMATION SCIENCE: AN OVERVIEW

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    Abstract At the moment, the technologies and applications have made the internet an important medium of communication and information dissemination. It provides a much enhanced interface between the user and information. The web set the foundation for global communication of computer users. Increasing the importance of web is clearly seen in the form of references or citations in the present day publications. Studies of the Web have been named webometrics or cybermetrics as in the electronic journal of that name. The web in particular has made all kinds of information easier to access and has encouraged people to make information publically available that they previously would not have thought to do. It was a huge advantage for researchers and students because the information needed to study a phenomenon might be freely available online, saving time in the data collection phase of a project and making larger scale studies possible.webometrics research is having some impact in other disciplines in the sense of attracting citations. These include the cognate disciplines of computer science, Sociology, Physics and Complex science. For some years bibliometric studies have identified webometrics as one of the largest information science fields. Nevertheless, most published webometrics research is relatively theoretical and, as a new research field, seems unlikely to survive unless it is useful in some way. In general it is very important for academics to identify hot research topics and avoid unpromising ones and so methods are needed to help this identification process. Moreover, there is a significant amount of citation of webometrics research by disciplines outside information science, including computing, sociology, physics and complex science. Nevertheless, it seems that the potential user base for current webometric techniques is wider still, creating a need for awareness-raising
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