By Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama
Advances in social technology study methodologies and knowledge analytic tools are altering the best way study in details platforms is performed. New advancements in statistical software program applied sciences for information mining (DM) equivalent to regression splines or determination tree induction can be utilized to help researchers in systematic post-positivist concept checking out and improvement. demonstrated administration technological know-how options like facts envelopment research (DEA), and price targeted considering (VFT) can be utilized together with conventional statistical research and knowledge mining ideas to extra successfully discover behavioral questions in info platforms examine. As adoption and use of those examine equipment extend, there's turning out to be desire for a source publication to help doctoral scholars and complicated researchers in realizing their power to give a contribution to a large variety of analysis problems.
Advances in learn equipment for info platforms examine: facts Mining, facts Envelopment research, worth targeted Thinking specializes in bridging and unifying those 3 various methodologies so one can deliver them jointly in a unified quantity for the knowledge platforms group. This ebook serves as a source that offers overviews on every one procedure, in addition to purposes on how they are often hired to deal with IS study difficulties. Its aim is to assist researchers of their non-stop efforts to set the velocity for having a suitable interaction among behavioral learn and layout technological know-how.
Read or Download Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking PDF
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Extra resources for Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking
North Holland, pp 151–171 Hintikka J (1997) The place of CS Peirce in the history of logical theory. In: Lingua Universalis vs Calculus Ratiocinator, selected papers 2. Kluwer, pp 140–161 Kim H, Koehler G (1995) Theory and practice of decision tree induction. Omega 23(6):637–652 Ko M, Osei-Bryson K-M (2004a) Exploring the relationship between information technology investments and firm performance productivity using regression splines analysis. Inf Manage 42:1–13 Ko M, Osei-Bryson K-M (2004b) Using regression splines to assess the impact of information technology investments on productivity in the health care industry.
Following the data collection and coding, Eventus® software was used in the computation of abnormal return. Eventus® effectively interfaces with SAS and CRSP to generate test results. Table 1 is a sample result from the study (AndohBaidoo et al. 2012). Within the 3-day event window, the ratio of positive to normal returns was greater than 1 (497:449) with a corresponding Z value that indicates that the CAR for the 3-day event window (a day before the announcement through a day after the announcement) was positive and significant at the 1 % level.
The resulting final instrument2 was validated. Factor analysis was conducted, and following this factor, scores were also generated2. Using the discretization transformations described in Table 1, for each observation, each corresponding factor score was then categorized as High, Medium, or Low. 2 A discussion of the validation of the new instrument is beyond the scope of this paper. However, in validating the instrument, we used principal axis factoring and varimax rotation with Kaiser normalization.
Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking by Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama