What translates big data into business value? A meta-analysis of the impacts of business analytics on firm performance
| Autor(en): | Oesterreich, Thuy Duong Anton, Eduard Teuteberg, Frank |
Stichwörter: | Business & Economics; Business analytics; Business intelligence; Computer Science; Computer Science, Information Systems; DECISION-MAKING; DYNAMIC CAPABILITIES; Firm performance; Information Science & Library Science; INFORMATION-TECHNOLOGY PAYOFF; IT business value; Management; MANAGEMENT CAPABILITIES; Meta-analysis; Moderator analysis; OPERATIONAL PERFORMANCE; PREDICTIVE ANALYTICS; RANDOM-EFFECTS MODELS; RESOURCE-BASED VIEW; SUPPLY CHAIN; VALUE CREATION | Erscheinungsdatum: | 2022 | Herausgeber: | ELSEVIER | Journal: | INFORMATION & MANAGEMENT | Volumen: | 59 | Ausgabe: | 6 | Zusammenfassung: | The main purpose of this study is to examine the factors that are critical to create business value from business analytics (BA). Therefore, we conduct a meta-analysis of 125 firm-level studies spanning ten years of research from across 26 countries. We found evidence that the social factors of BA, such as human resources, management capabilities, and organizational culture show a greater impact on business value, whereas technical aspects play a minor role in enhancing firm performance. Through these findings, we contribute to the ongoing debate concerning BA business value by synthesizing and validating the findings of the body of knowledge. |
ISSN: | 0378-7206 | DOI: | 10.1016/j.im.2022.103685 |
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