Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations
By Rajeev Sharma, Sunil Mithas, Atreyi Kankanhalli. European Journal of Information Systems, 2014
547 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/c19b324e4850fd3eb82684031a59e7cd449ee91b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Patrick Mikalef
- John Krogstie
- Ilias O. Pappas
- Simon Schafheitle
- Ulrich Leicht‐Deobald
- Marleen Huysman
- Suprateek Sarker
- Roger H. L. Chiang
In Management Science and Operations Research
- Patrick Mikalef
- John Krogstie
- Marleen Huysman
- Suprateek Sarker
- Ahmed Ali Abbasi
- Roger H. L. Chiang
- Jan vom Brocke
- Paul A. Pavlou
In Strategy and Management
- Patrick Mikalef
- John Krogstie
- Ilias O. Pappas
- Marleen Huysman
- Suprateek Sarker
- Roger H. L. Chiang
- Jan vom Brocke
- Frans Feldberg
Citations in the corpus
- Business intelligence & analytics in management accounting research: Status and future focus (2018, background): “Thus, BI&A-supported strategies may need new governance structures and roles for better asset orchestration capability (Sharma et al., 2014).”
- The Effect of Big Data and Analytics on Firm Performance: An Econometric Analysis Considering Industry Characteristics (2018, background): “[56] conceptualized the process and conditions under which big data and analytics (BDA) can create business value.”
- Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations (2018, background): “practitioners still vaguely understand how big data analytics can create value for their organizations (Sharma et al., 2014).”
- Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “Essentially, those firms that are better in transforming their operations are those that have established firm-wide practices regarding big data analytics and established a data-driven culture [14,17].”
- Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, unknown): “R. Sharma et al. (2014) underscore the importance of fostering appropriate decision-making structures, essentially enabling a data-driven culture to diffuse throughout the firm.”
- Debating big data: A literature review on realizing value from big data (2017, background): “, 2013), for example, by time constraints and skepticism with regard to relying on data (Namvar and Cybulski, 2014); team compositions (Sharma et al., 2014); visualizations of input and output (Ekbia et al.”
- The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity (2019, background): “Instead, it is the result of a complex relationship between data, analytical tools, and human sense-making (Sharma et al. 2014), defined as an “ongoing retrospective development of plausible images that rationalize what people are doing” (Weick et al. 2005, p. 409).”
- Big Data Research in Information Systems: Toward an Inclusive Research Agenda (2016, background): “Traditionally, IS research on the information value chain has also focused on the two aforementioned areas: 1) deriving knowledge and 2) decision making (Sharma et al. 2014).”
- The impact of big data analytics on firms’ high value business performance (2016, background): “Sharma et al. (2014) argue here that while there is some evidence that investments in business analytics can create value, the claim that ‘ business analytics leads to value ’ needs deeper analysis.”