e., his/her understanding of the nature of social reality and how knowledge of that reality can be gained. (Naslund, 2005)
Naslund (2005) states that qualitative research methods "primarily create meanings and explanations to research phenomena" and include data collection methods such as:
(1) Observation;
(2) Fieldwork including interviews and questionnaires, diary methods, documents and texts, case studies; and (3) the researcher's impressions and reactions to observed phenomena. Quantitative research methods serve to make provision of a broad range of situations as well as being fast and economical.
Commonly utilized quantitative research methods include those of:
(1) Laboratory experiments;
(2) Formal methods; and (3) Numerical methods and techniques. (Naslund, 2005)
Naslund states that analysis identifies a number of interesting trends and trends that are potentially important in logistics research. One relates to the use of survey methods in logistics according to Naslund who states that in the past several years "a considerable proportion of the survey-based method of data collection has been analyzed with structural equation modeling (SEM)." (2005) also noted is a trending toward "greater application of case methods." (Naslund, 2005)
Added to the increase in the use of case studies two more observed related aspects include:
(1) more thorough descriptions of the logic behind using a case study; and (2) more thorough descriptions of the actual case(s) used. (Naslund, 2005)
According to Naslund "In the past, the term "case" research in logistics was a phrase oftentimes used out of its proper methods context. In actuality, most logistics researchers who stated that they were utilizing "case" research methods were neither describing the rationale for using a case study nor how the case study was conducted." (2005)
Naslund states that as the logistics discipline has evolved there has been a call generated for logistics research to become
"…more rigorous with respect to theory development and practitioner application. We see several different responses to this challenge. First, the increased use of SEM as well as simulation would seem to reflect a research purpose driven to discover and explain causality. In the specific instance of SEM, its increased usage may also be evidence of researchers who have already looked at an issue with...
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