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 information analytic tools are altering the way in which learn in details platforms is performed. New advancements in statistical software program applied sciences for information mining (DM) resembling regression splines or determination tree induction can be utilized to aid researchers in systematic post-positivist concept trying out and improvement. confirmed administration technology concepts like info envelopment research (DEA), and price targeted pondering (VFT) can be utilized together with conventional statistical research and knowledge mining suggestions to extra successfully discover behavioral questions in details structures study. As adoption and use of those learn equipment extend, there's transforming into want for a source booklet to aid doctoral scholars and complicated researchers in figuring out their power to give a contribution to a wide variety of study problems.

Advances in study equipment for info structures learn: facts Mining, facts Envelopment research, price targeted Thinking makes a speciality of bridging and unifying those 3 assorted methodologies with a purpose to carry them jointly in a unified quantity for the knowledge structures neighborhood. This booklet serves as a source that offers overviews on each one procedure, in addition to functions on how they are often hired to handle IS study difficulties. Its objective is to aid researchers of their non-stop efforts to set the speed for having a suitable interaction among behavioral study and layout technology.

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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.

Campbell et al. 2003; Cavusoglu et al. 2004; Gordon and Loeb 2002; Hovav and D’Arcy 2004). The relevant Capital Market reaction is typically assessed based on cumulative abnormal return (CAR), which is the sum of abnormal returns over the event window. In other words, ‘The abnormal return is the actual ex post return of the security over the event window minus the normal return of the firm over the event window’ (Mackinlay 1997, p. 15). A popular approach for exploring the occurrence of CAR involves the application of the event study methodology.

It is important to note that in some situations, while a global hypothesis might not be supported by empirical data, the local hypothesis might be. Local hypotheses that are supported by the data may be of interest to managers as they can provide guidance for action. Further, together with the associated global hypothesis, local hypotheses can provide a richer picture of the complex relationship between the given predictor variable and the target variable. This strategy provides researchers the ability to develop a detailed understanding of the dynamics of the problem domain that could lead to better (more relevant) predictive theories.

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