By Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama
Advances in social technology study methodologies and information analytic equipment are altering the way in which examine in details structures is carried out. New advancements in statistical software program applied sciences for facts mining (DM) equivalent to regression splines or choice tree induction can be utilized to help researchers in systematic post-positivist conception trying out and improvement. confirmed administration technology ideas like information envelopment research (DEA), and price centred pondering (VFT) can be utilized together with conventional statistical research and information mining innovations to extra successfully discover behavioral questions in info structures learn. As adoption and use of those study tools extend, there's growing to be desire for a source booklet to help doctoral scholars and complicated researchers in knowing their strength to give a contribution to a extensive variety of analysis problems.
Advances in examine tools for info platforms learn: facts Mining, information Envelopment research, price centred Thinking makes a speciality of bridging and unifying those 3 diversified methodologies that allows you to carry them jointly in a unified quantity for the knowledge platforms neighborhood. This ebook serves as a source that offers overviews on each one approach, in addition to functions on how they are often hired to deal with IS examine difficulties. Its target is to aid researchers of their non-stop efforts to set the speed for having a suitable interaction among behavioral learn and layout technological know-how.
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Additional resources for Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking
111). Since the seminal works of Ball and Brown (1968) and Fama et al. , Aggarwal et al. 2006; Dos Santos et al. 1993; Dow et al. 2006; Guan et al. 2006; Kannan et al. 2007; Subramani and Walden 2001), as well as other disciplines including operations management and finance (Bodie et al. 2001; Brown and Warner 1980; Corrado 1989; Cowan 1992; Hendricks et al. 1995). The main goal of the event study methodology is to determine whether an event such as the announcement of a newly created CIO position leads to CAR.
M. Osei-Bryson and O. 1007/978-1-4614-9463-8_5, © Springer Science+Business Media New York 2014 45 46 F. K. Andoh-Baidoo et al. , decision tree (DT) induction) can be used to analyze statistical data such as those involving predictors of CAR, most previous event studies have used confirmatory approaches such as regression and ANOVA, in examining the determinants of CAR. Confirmatory approaches offer several advantages. However, they require the prior explicit specification of all hypotheses. This involves the reliance on strengths and limitations of human imagination for the generation of the hypotheses, an imagination that is typically developed based on the insights and limitations from previous studies.
Martinus Nijhoff, Amsterdam Grimes TR (1990) Truth, content, and the Hypothetico-Deductive method. Philosophy of Science, 57, 514–522 Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q 19(2):213–236 Hanson NR (1961) Is there a logic of discovery. In: Feigle H, Maxwell G (eds) Current issues in the philosophy of science. Holt, Rinehart and Winston, pp 20–35 4 An Approach for Using Data Mining to Support Theory Development 43 Harman G (1965) Inference to the best explanation.
Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking by Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama