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Strengths of qualitative research
Qualitative and quantitative research method introduction
Qualitative and quantitative research method introduction
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Recommended: Strengths of qualitative research
Sample Size One of the fundamental tasks in qualitative research, other than the selection of a research topic, is to produce credible research by obtaining an appropriate sample. This is to ensure that there are enough facts for possible research and justifications of the qualitative research’s conclusions (Marshall, Cardon, Poddar, &Fontenot, 2013). According to Marshall, Cardon, Poddar, and Fontenot (2013), qualitative researchers rarely justify the sample sizes of qualitative interviews. Further, the available qualitative research methodologies provide few concrete guidelines for estimating adequate sample sizes. This is particularly evident in information systems (IS) research studies (Marshall, Cardon, Poddar, & Fontenot, 2013), despite the plethora of information systems (IS) qualitative research information that exists. Indeed, according to Sarker, Xiao and Beaulieu (2013), up to the mid-1990, a significant amount of mainstream IS scholars, particularly those in North American and Asia, research was assumed to be quantitative, and studies not using the accepted quantitative methods were excluded from the definition of research itself. Qualitative research uses purposeful sampling instead of drawing a random sample and addressing the assumptions of statistical analysis techniques. Hanson, Balmer, and Giardino (2011) noted that the research chooses a sample of participants or documents to accomplish a particular purpose and to gain the insight most applicable to the research question. As the study proceeds, the qualitative researcher may identify additional participants or documents likely to confirm or challenge emerging insights in an attempt to build deeper understanding and to clarify themes (Hanson, Balmer, &... ... middle of paper ... ...ew of qualitative interviews in is research. Journal of Computer Information Systems, 54(1), 11-22. Metwally, E. (2013). Using the case research approach in understanding the effect of managing change through technology to achieving strategic competitiveness in private banks: gains and perils. Journal of International Finance & Economics, 13(2), 5-20. Padgett, D. (2004). The qualitative research experience. Belmont, CA: Books/Cole Cengage Learning. www.cengagebrain.com Putra, I. (2013). The effects of quality and service value on customer loyalty. Interdisciplinary Journal of Contemporary Research in Business, 5(5), 488-504. Retrieved from http://journal-archieves35.webs.com/488-504.pdf Sarker, S., Xiao, X., & Beaulieu, T. (2013). Qualitative studies in information systems: a critical review and some guiding principles. MIS Quarterly, 37(4), iii-xviii.
Saunders, C. S., & Pearlson, K. E. (2009). Managing and Using Information Systems. John Wiley&Sons, Incorporated.
Zeithaml, Valarie A, Berry, Leonard L, & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31. Retrieved April 1, 2011, from ABI/INFORM Global. (Document ID: 9401886).
Today the use of technology has become embedded into our daily lives. Most of western civilization has access to a piece of technology at any given point of time. In recent years, technology has started to play a significant role in the area of research. Quantitative research was quickly adapted and aided by technology due to the use of number variables, but the same was not true for qualitative research. In recent years, qualitative research was revolutionized by Qualitative Data Analysis (QDA) software. Although, QDA software has a great deal of positive aspect, there are drawbacks in the utilization.
Thematic analysis is espoused to be the foundational approach to qualitative analysis and methods (Saunders et al., 2016 as stated in Braun and Clarke, 2006: 78) and it is a useful method used to identify and analyse the order and patterns of qualitative data (Attride-Stirling, 2001). Qualitative research method depicts the correlation that exists between data and events, creating the pictorial representation of what one thinks a given data says (Saunders et al., 2016). They also opined that, qualitative data analysis is cogent, interactive and iterative. Also, Joana and Jill (2011) and Saunders et al (2016) postulate that, qualitative research brings meanings from words and images as opposed to numbers. However, despite its robustness and rigour of its application, it is skewed more to the interpretivist ideologies since researchers draw conclusion from participants and the hypothesis being forecasted (Joana and Jill, 2011; Saunders et al., 2016).
Qualitative research is an approach that attempts to situate an activity that locates the observer in the world by providing the study to occur in their natural setting and by attempting to make sense of, or interpret information (Denzin and Lincoln, 2005). A characteristic of qualitative research is to use a variety of empirical materials such as personal experience, interviews, and questionnaires. It is imperative to understand the task at hand and how to fully carry out the study when using a qualitative research approach in order to find out the information needed. One view of qualitative research is it involves examining individual’s experiences and documenting those experiences in detail (Jones, 2011). By documenting these observations the researcher is ensuring validity in his or her data and giving the correct creditability to those who participated in the study.
One element that differentiates the qualitative article from the quantitative article is the size of the group studied. Qualitative research conducts studies using a small number of people that are not randomly selected. In the article ”Perceptions of Older Rural Women Using Computerized Programs for
Weinstein, A. (2012). Superior customer value: strategies for winning and retaining customers (3rd ed.). Boca Raton, FL: CRC Press.
Marshall, C, Rossman, Gretchen B, (2006). Designing qualitative research, 4th edition, Thousand Oaks, California: Sage Publications.
Grounded theory is an innovative theory that facilitates the discovery of relevant theories from raw data and practitioners can ensure that they stay grounded in theory through methodological approaches such as consistent theoretical sampling and constant comparative analysis (Dunne, 2011). On the other hand, practitioners should also ensure that the stay current in practice. This can be attained through a variety of ways including becoming and effective consumer of research by effectively finding and keeping up with professional reading, reading new publications to stay at the forefront of industry issues, attending key industry gatherings such as professional meetings, workshops, and conferences so as to gain more knowledge and be familiar with issues and strands of though in the industry, and cultivating an appropriate and productive professional network to enhance information sharing and knowledge building. The Role of Theories in Information Technology Research Theories play an important role in information technology research.
Many scholars believe that customer satisfaction has a crucial role in the success of a business, and is pivotal in increasing the overall profitability of the business (Kotier, 1991). Customer value is gained through the experience they receive from the goods or purchases they have obtained from a certain business. Customer value has various definitions and concepts, Holbrook (1999) stated that it is a kind of “interactive, mutual, and preferred experience”; but simply said, “the term customer value has many meanings.”
Cushman, M., & Mclean, R. (2008). Guest editorial Exclusion , inclusion and changing the face of information systems research. Information Technology & People, 21(3), 213-221
The context of service quality has not been perceived uniformly. Cullen (2001) for instance portrayed two sets of quality context: objective, and perceived quality; the first focuses on the standards and guidelines being set up by professional bodies, while the second pertains to customers' perceptions. Similarly, Gronroos (1984) abstracted the service quality into technical and functional. By and large, literature on service quality has been lined up behind the latest category while maintained a level of disintegration with the first. On the other hand, scholars have endeavored to improve service quality. Their models that conceptualize service quality improvement included the disconfirmation, perceived quality, SERVQUAL, and Six Sigma (Kasper, Helsdingen, and Gabbott, 2006:183). Additionally, Ahmed and Rafiq (2002:13) spelled out two other models namely Berry's model and Grönrros' model, but placed them within the context of the internal marketing theory. However, the preceding models perceived service quality from a narrow perspective; none have had a holistic view of quality. This explains the inconsistency in conceptualizing service quality where the perceived service quality endured to measure customers' satisfaction in particular.
Qualitative data analysis is the process of transforming data into information, information into understanding and understanding into knowledge (Davenport & Prusak, 1998). Furthermore, qualitative data analysis can be described as a blend of scientific studies and artistic style to create an innovative product. The research acts as the primary research tool, and must be able to sustain composer throughout the entire study. In addition, the researcher must be able to pay attention to the small details of the study, without losing sight of the big picture of the study (Chenail, 2012).
The customer loyalty is considered as prime determinant of long-term financial performance of firms. Three conceptualizations of customer loyalty have been identified in literature: behavioral loyalty, attitudinal loyalty, and composite measure of loyalty (Uncles et al., 2003b).
As mentioned by Fournier and Mick (1999), and Keiningham, Goddard, Vavra and Iaci (1999), customer retention, customer satisfaction and customer delight are considered as the amount of concentration given to the target customers at the every step of value chain which is called Customer Value Chain Involvement (CVCI). Thus, by achieveing customer loyalty, satisfaction and retention and customer delight businesses can get bigger profit margins and market share (Prahalad and Ramaswamy, 2003).