Qualitative Critical Realism in Information Systems Research

Currently, undertaking qualitative multi-disciplinary studies in Information Systems (IS) domain has been increased. Accordingly, the congruence between research philosophy and methodology allows the IS researchers to identify the overall strategy of the study and avoid unnecessary efforts. Consequently, application of innovative research philosophies, such as critical realism, which benefits from ideas of multiple philosophies (e.g. positivism and interpretivism) is reflected to be more to meet the requirements of multi-disciplinary IS researches. Critical realism allows the use of a well-developed and well-structured path to the research through identifying core elements including mechanisms, structures, and events. This research attempts to provide a distinctive approach for unification of critical realism philosophy and qualitative research through a literature analysis and according to the supplies of qualitative approach and the idea of fishbone diagram. It also offers a novel strategy for the validation of qualitative research based on the qualitative validity criteria and the requirements of the empirical stratum of critical realism philosoph

Interpretative research in information systems: two qualitative research design projects

In a scientific research project is important to define the underlying philosophical orientation of the project, because this will influence the choices made in respect of scientific methods used, as well as the way they will be applied. It is crucial, therefore, that the philosophy and research design strategy are consistent with each other. These questions become even more relevant in qualitative research. Historically, the interpretive research philosophy is more associated to the scientific areas of social sciences and humanities where the subjectivity inherent to human intervention is more explicitly defined. Information systems field are, primarily, trapped in computer science field, though it also integrates issues related with management and organizations field. This shift from a purely technological guidance for the consideration of the problems of management and organizations has fostered the rise of research projects according to the interpretive philosophy and using qualitative methods. This paper explores the importance of alignment between the epistemological orientation and research design strategy, in qualitative research projects. As a result, it is presented two PhD projects, with different research design strategies, that are being developed in the technology and information systems field, in the light of the interpretive paradigm.This work is funded by FEDER funds through the Operational Program for Competitiveness Factors ‐ COMPETE and National Funds through FCT ‐ Foundation for Science and Technology under the Project: FCOMP‐01‐0124‐FEDER‐022674

The Generation of Qualitative Data in Information Systems Research: The Diversity of Empirical Research Methods

This paper investigates the concept of data collection in information systems qualitative research. In this text, I replace the term “data collection” with “data generation” to emphasize that the researcher arranges situations that produce rich and meaningful data for further analysis. Data generation comprises activities such as searching for, focusing on, noting, selecting, extracting, and capturing data. This paper analyzes and compares a repertoire of empirical research methods for generating qualitative data. It describes and visualizes (through a common data-generation template) 12 research methods: interviewing, questionnaire study, document study, artifact study, observation study, participant observation, intervention study, practice-based design study, lab-based design study, focus group study, test study, and self-reporting. I compare these data-generation methods according to 1) the researcher’s role in data generation, 2) data generation’s influence on everyday life reality, 3) each data-generation method’s relationship to everyday life reality, 4) what parts/mediators of everyday life reality each data-generation method addresses, 5) the expected value of generated data and 6) possible shortcomings in generated data. As a basis for investigating data generation, I ontologically clarify (based on a practice-theoretical perspective) the empirical landscape of information systems (the kinds of phenomena and sources of data that exist). A concluding discussion contains 1) analyses concerning relationships between data-generation methods and compound research methods/strategies such as case study research, action research, and design science research and 2) the role of interpretation in data generation versus data analysis

Consumer-driven innovation networks and e-business management systems

This paper examines the use of consumer-driven innovation networks within the UK food-retailing industry using qualitative interview-based research analysed within an economic framework. This perspective revealed that, by exploiting information gathered directly from their customers at point-of-sale and data mining, supermarkets are able to identify consumer preferences and co-ordinate new product development via innovation networks. This has been made possible through their information control of the supply-chain established through the use of transparent inventory management systems. As a result, supermarkets’ e-business systems have established new competitive processes in the UK food-processing and retailing industry and are an example of consumer-driven innovation networks. The informant-based qualitative approach also revealed that trust-based transacting relationships operated differently from those previously described in the literature

Using plenary focus groups in information systems research: More than a collection of interviews

Standard data collection techniques in qualitative research have included surveys, interviews and observations. The Focus group technique is a more recent addition to the empirical researcher's repertoire and is highly appropriate to Information Systems research in particular circumstances. This paper introduces a focus group approach to the study of information systems using a case study scenario and employing a structuring technique borrowed from Soft Systems Methodology designed to shape the discussion and organize group attention on specific aspects of the descriptive process. The paper describes the conduct of focus groups with respect to individual incidents and defines a particular type of Focus Group which involves all persons attendant at an event, thereby removing problems of sampling and representativeness. The unique properties and advantages of this type of focus group in respect to IS research emerged from the case study and an example of the use of story elicitation technique is described. The case study scenario is a regional fire service and any fire or rescue related incident is unique, dynamic, live and real-time, in addition it requires the combined skills and actions of a group of individuals, none of whom may have a full overview of the situation until after the event. These factors are present in other events such as any emergency procedure, artistic or sporting performance, construction and demolition events. Recording of such events presents genuine problems for information systems and the elicitation technique helped the group members to think in different ways about the impact of their incident recording systems. As the technique has broader use across research disciplines, an attempt is made to identify the attributes and properties of these 'Plenary Focus Groups' in information systems research scenario that might lend themselves to focus group research as a useful and successful technique

Social media in qualitative research: Challenges and recommendations

The emergence of social media on the Internet provides an opportunity for information systems researchers to examine new phenomena in new ways. However, for various reasons qualitative researchers in IS have not fully embraced this opportunity. This paper looks at the potential use of social media in qualitative research in information systems. It discusses some of the challenges of using social media and suggests how qualitative IS researchers can design their studies to capitalize on social media data. After discussing an illustrative qualitative study, the paper makes recommendations for the use of social media in qualitative research in IS

Detailed empirical studies of student information storing in the context of distributed design team-based project work

This paper presents the findings of six empirical case studies investigating the information stored by engineering design students in distributed team-based Global Design Projects. The aim is to understand better how students store distributed design information in order to prepare them for work in today‟s international and global context. This paper outlines the descriptive element of the work, the qualitative and quantitative research methods used and the results. It discusses the issues around the emergent themes of information storing; information storing systems; information storing patterns; and information strategy, making recommendations; establishing that there is a need for more prescriptive measures to supporting distributed design information management. This work will be of great value to industry also

An analysis of the key factors affecting the success of a re-launched destination marketing website in the UK

Business Information Systems e-Commerce/e-business Computer Appl. in Social and Behavioral Sciences Marketing Information Systems Applications (incl. Internet)This paper presents a case study of the re-launch of a DMO website in the UK. It evaluates the perceived usability of the new website and identifies the key factors affecting customers’ intention to use the new website. A large-scale online survey was developed to understand a number of issues relating to usability (e.g. aesthetics, effectiveness) and psychological and behavioural indicators (e.g. perceived trustworthiness and intent to use). Both quantitative and qualitative data was analysed to understand users’ perceptions, behaviour and attitudes towards the re-launched website. A Structural Equation Model (SEM) was developed to identify the factors affecting their intention to use the new website. The SEM model identified the impact of a variety of factors on intention to use and the descriptive analysis, using both qualitative and quantitative data, highlights further areas of research