2014
DOI: 10.1057/ejis.2014.17
|View full text |Cite
|
Sign up to set email alerts
|

Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

9
296
0
9

Year Published

2016
2016
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 403 publications
(314 citation statements)
references
References 36 publications
9
296
0
9
Order By: Relevance
“…Research has categorized information value-chain activities into two groups: knowledge derivation and decision making (Sharma, Mithas, & Kankanhalli, 2014). Firms now collect data from social media and sensors to supplement their internal data sources (Chen, Chiang, & Storey, 2012).…”
Section: Barrier: Data Analysis Povertymentioning
confidence: 99%
“…Research has categorized information value-chain activities into two groups: knowledge derivation and decision making (Sharma, Mithas, & Kankanhalli, 2014). Firms now collect data from social media and sensors to supplement their internal data sources (Chen, Chiang, & Storey, 2012).…”
Section: Barrier: Data Analysis Povertymentioning
confidence: 99%
“…According to Bi et al [24] from the data management perspective, the Management Information Systems for the next generation manufacturing enterprises are facing two situations: 1) increased costs due to the complexity of the system and the need for rapid decision-making; 2) waste of time and resources for communications when the data are shared with other units [20]. In addition to this, machine learning algorithms can be used to find out the causes of statistics, trends, and links that the business analytics reveals and through these algorithms patterns can be uncovered [7]. Advanced analytics and artificial intelligence give companies new abilities to draw insights from huge amounts of data [25].…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, many manufacturing systems are not ready to manage big data due to the lack of intelligent analytical tools [6]. In the recent years, there has been increased interest in the potential of big data & analytics concepts to improve organizational performance and these concepts have started to become very popular in the literature of both management science and information science [7].…”
Section: Introductionmentioning
confidence: 99%
“…The use of analytics in real-time decision-making has significant impacts on business activities and performance enhancement [1]. Most of them have benefited from big data analytics (BDA) implementation in many ways, such as information technology (IT) infrastructure, operational, managerial, strategic and organization benefits [2] [3].…”
mentioning
confidence: 99%