The conceptualization of data-driven decision making capability

Lin Jia; Dianne Hall; Jiahe Song

The conceptualization of data-driven decision making capability

Lin Jia, Dianne Hall, Jiahe Song

Auburn University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

We are in the era of big data, and businesses are trying to become more data-driven and increase their decision making efficacy. However, there is little research that explores the dimensions of data-driven decision making (DDDM) capability. The authors analyze existing literature and summarizes four approaches to conceptualizing capabilities: unrelated, unidirectional, entanglement, and mixed. We then discuss the DDDM process and propose a multi-dimension construct of DDDM capability by following the process-based entanglement approach. The DDDM capability is conceptualized as a combination of data governance capability, data analytics capability, insight exploitation capability, performance management capability, and integration capability. Academic and managerial implications are also discussed.

Original language	English
Title of host publication	2015 Americas Conference on Information Systems, AMCIS 2015
Publisher	Americas Conference on Information Systems
ISBN (Electronic)	9780996683104
Publication status	Published - 2015
Event	21st Americas Conference on Information Systems, AMCIS 2015 - Fajardo, Puerto Rico Duration: 13 Aug 2015 → 15 Aug 2015

Publication series

Name	2015 Americas Conference on Information Systems, AMCIS 2015

Conference

Conference	21st Americas Conference on Information Systems, AMCIS 2015
Country/Territory	Puerto Rico
City	Fajardo
Period	13/08/15 → 15/08/15

Keywords

Data analytics capability
Data governance capability
Data-driven decision making capability
Data-driven decision making process
Insight exploitation capability
Integration capability
Performance management capability

Cite this

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title = "The conceptualization of data-driven decision making capability",

abstract = "We are in the era of big data, and businesses are trying to become more data-driven and increase their decision making efficacy. However, there is little research that explores the dimensions of data-driven decision making (DDDM) capability. The authors analyze existing literature and summarizes four approaches to conceptualizing capabilities: unrelated, unidirectional, entanglement, and mixed. We then discuss the DDDM process and propose a multi-dimension construct of DDDM capability by following the process-based entanglement approach. The DDDM capability is conceptualized as a combination of data governance capability, data analytics capability, insight exploitation capability, performance management capability, and integration capability. Academic and managerial implications are also discussed.",

keywords = "Data analytics capability, Data governance capability, Data-driven decision making capability, Data-driven decision making process, Insight exploitation capability, Integration capability, Performance management capability",

author = "Lin Jia and Dianne Hall and Jiahe Song",

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language = "English",

series = "2015 Americas Conference on Information Systems, AMCIS 2015",

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The conceptualization of data-driven decision making capability. / Jia, Lin; Hall, Dianne; Song, Jiahe.
2015 Americas Conference on Information Systems, AMCIS 2015. Americas Conference on Information Systems, 2015. (2015 Americas Conference on Information Systems, AMCIS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Song, Jiahe

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AB - We are in the era of big data, and businesses are trying to become more data-driven and increase their decision making efficacy. However, there is little research that explores the dimensions of data-driven decision making (DDDM) capability. The authors analyze existing literature and summarizes four approaches to conceptualizing capabilities: unrelated, unidirectional, entanglement, and mixed. We then discuss the DDDM process and propose a multi-dimension construct of DDDM capability by following the process-based entanglement approach. The DDDM capability is conceptualized as a combination of data governance capability, data analytics capability, insight exploitation capability, performance management capability, and integration capability. Academic and managerial implications are also discussed.

KW - Data analytics capability

KW - Data governance capability

KW - Data-driven decision making capability

KW - Data-driven decision making process

KW - Insight exploitation capability

KW - Integration capability

KW - Performance management capability

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M3 - Conference contribution

AN - SCOPUS:84963499844

T3 - 2015 Americas Conference on Information Systems, AMCIS 2015

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PB - Americas Conference on Information Systems

T2 - 21st Americas Conference on Information Systems, AMCIS 2015

Y2 - 13 August 2015 through 15 August 2015

ER -

The conceptualization of data-driven decision making capability

Abstract

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Keywords

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