Management journal homepage: www.elsevier.com/locate/jom Qualitative case studies in operations management: Trends, research outcomes, and future research implications Mark Barratt, Thomas Y. Choi ∗ , Mei Li Department of Supply Chain Management, W. P. Carey School of Business, Arizona State University, Tempe, AZ 85287-4706, United States a r t i c l e i n f o a b s t r a c t Our study examines the state of qualitative case studies in operations management. Five main operations management
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Week 1 Chapter 1: The selection of a research design Three types of design: Quantitative, qualitative and mixed methods. Although it is difficult to separate the first two, often a research study tends to be more quantitative than qualitative or vice versa. Mixed methods is somewhere in the middle, a combination of both qualitative and quantitative methods. In detail: Qualitative research is about exploring and understanding the meaning individuals or groups ascribe to a social or human problem.
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SWISS MANAGEMENT CENTER UNIVERSITY DOCTORATE IN BUSINESS ADMINISTRATION (DBA) MODULE 2: QUALITATIVE RESEARCH METHODOLOGY UNIT: 5-2 NAME OF CANDIDATE: AMVROSIOS PRODROMOU PROFESSOR IN CHARGE: Dr. ALBERT WIDMAN Research Problem As it has already been stated in Unit 2-2 the Research Problem deals with the on-going financial crisis in Cyprus. Park (2006, p.p.8-9) provides a sound “Statement of the Problem” which constitutes a major component for the development of the “Problem Definition”
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The Qualitative Report Volume 8 Number 3 September 2003 447-461 http://www.nova.edu/ssss/QR/QR8-3/mccaslin.pdf The Five-Question Method For Framing A Qualitative Research Study Mark L. McCaslin University of Idaho, Idaho Falls, Idaho, USA Karen Wilson Scott University of Idaho, Idaho Falls, Idaho, USA The Five-Question Method is an approach to framing Qualitative Research, focusing on the methodologies of five of the major traditions in qualitative research: biography, ethnography, phenomenology
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Within the assignment there will be a description of the qualitative methodology used, followed by a discussion of the strengths and weakness and its appropriateness and relevance of the design for the study. It will then go on to critique the title of the study, the abstract, the literature review, the method and design and the data collection section of the study. To conclude this assignment there will a brief summary. A qualitative research approach seeks to understand humans by exploring
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Littletown Café Data Analysis QNT/275 January 25, 2016 The Littletown Café has a different schedule it’s busy season and off season. Careful analysis of statistical data will aid in future decisions for the business. By using qualitative and qualitative data, information gathered can determine the number of staff that is needed for the busy season. Graphs and charts are used when presenting this type of data to show variations between seasons. As with any data, there can be several factors
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Running head: QUALITATIVE 1 Qualitative Research and Methods Maria A. Kithcart LEAD 870 January 29, 2012 Dr. Heewon Chang Abstract The purpose of this paper is to describe in a reflective-analysis essay format about QL research methods and process that contains a discussion of the following four components. First, the author highlights how QL research orientation is different from QN research orientation. Next, the author explains methodological
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Qualitative vs. Quantitative Research Methods There are a number of observational methods when conducting research. Generally, they are split into either qualitative or quantitative methods. Qualitative methods collect data in which the data cannot be quantified. Quantitative methods collect data which is then statistically analyzed. Each method each has its own advantages and disadvantages. As Cozby (2009) indicates, qualitative research focuses on behavior in natural settings. Sample
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of statistics in business decision making, followed by examples of statistics in action. Types, Levels, and the Role in Business Decision Making The two categories of statistics are descriptive and inferential. Descriptive statistics is the analysis of data that describes, or summarizes the data in a meaningful way (Laerd Statistics, 2013). Business leaders can organize large amounts of data into a comprehensive format utilizing descriptive statistics. But descriptive statistics do not make
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Conceptual Framework Most research reports cast the problem statement within the context of a conceptual or theoretical framework.4 A description of this framework contributes to a research report in at least two ways because it (1) identifies research variables, and (2) clarifies relationships among the variables. Linked to the problem statement, the conceptual framework “sets the stage” for presentation of the specific research question that drives the investigation being reported. For example
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