Download Advances in Research Methods for Information Systems by Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama PDF

By Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama

Advances in social technology study methodologies and knowledge analytic equipment are altering the best way study in info structures is carried out. New advancements in statistical software program applied sciences for info mining (DM) resembling regression splines or selection tree induction can be utilized to aid researchers in systematic post-positivist idea trying out and improvement. confirmed administration technology concepts like info envelopment research (DEA), and cost centred considering (VFT) can be utilized together with conventional statistical research and knowledge mining suggestions to extra successfully discover behavioral questions in info structures study. As adoption and use of those examine tools extend, there's turning out to be desire for a source e-book to help doctoral scholars and complex researchers in realizing their strength to give a contribution to a huge variety of study problems.

Advances in learn tools for info structures examine: facts Mining, information Envelopment research, worth concentrated Thinking makes a speciality of bridging and unifying those 3 varied methodologies so one can convey them jointly in a unified quantity for the data platforms neighborhood. This publication serves as a source that gives overviews on every one strategy, in addition to purposes on how they are often hired to deal with IS study difficulties. Its target is to aid researchers of their non-stop efforts to set the velocity for having a suitable interaction among behavioral study and layout technological know-how.

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Extra resources for Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking

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1 Example 1: e-Commerce Announcements and CAR In the first step, the researchers were interested in examining the effect of the announcements of electronic commerce initiatives on the market value of the firms 2 For an event such as Announcement of Security Breaches, abnormal represents CAR with negative values and normal represents CAR with zero or positive value. F. K. Andoh-Baidoo et al. 001 making the announcements. Hence, the event of interest is the announcement of an electronic commerce initiative.

Discretize All Ordinal Variables: For each ordinal variable, discretize the given variable using the specified discretization method. 7. , splitting method options, minimum observations per leaf). 8. Specify Thresholds: Specify α, the significance level for statistical testing of the hypotheses, and τ0, the threshold for p0. A Strong Single Rule Hypothesis will not be generated for any rule for which the highest p0 that is supported by the data is below τ0. 9. Specify the Set of Decision Rules for Abducting and Evaluating Sibling Rules Hypotheses: A candidate sibling rules hypothesis is formulated based on the relative frequency distribution of the target event for the set of sibling rules 4 An Approach for Using Data Mining to Support Theory Development 41 that are associated with the predictor variable.

15). A popular approach for exploring the occurrence of CAR involves the application of the event study methodology. The event study methodology typically has two goals: (1) to determine whether or not an event, such as the announcement of Internet security breach, or an e-commerce initiative leads to CAR and (2) to examine the factors that influence the observed CAR. F. K. edu K. -M. Osei-Bryson Department of Information Systems, Virginia Commonwealth University, 301 W. -M. Osei-Bryson and O. 1007/978-1-4614-9463-8_5, © Springer Science+Business Media New York 2014 45 46 F.

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