Generating Valuable Insights through Data Analytics: A Moderating Effects Model

2016 | International Conference on Information Systems | Citations: 5

Authors: Ghasemaghaei, Maryam; Ebrahimi, Sepideh; Hassanein, Khaled

Abstract: The business insights that could be generated through the use of data analytics ... Expand

Abstract: The business insights that could be generated through the use of data analytics is one of the key motivations for firms to invest in such technologies. However, there is limited understanding of the required conditions for these tools to increase valuable insight generation. This research-in-progress study draws on the gestalt theory of insight and resource-based view of the firm to investigate the role of data analytics in generating valuable insights within organizations and the factors that influence this process. Particularly, this study focuses on how the bigness of data (i.e., volume, variety, and velocity), quality of data, and employees’ competency (i.e., analytical skills, and domain knowledge) impact insight generation (i.e., data hindsight, data insight, and data foresight) through the use of data analytics. A survey-based methodology is outlined to empirically validate the proposed model using structural equation modeling techniques. Potential contributions to theory and practice are also discussed. Collapse

Topics: analytical information system data quality decision making competitive advantage

Methods: partial least squares regression structural equation modeling personal interview survey

Theories: resource based view of the firm gestalt principles of perception