2017
DOI: 10.1080/10580530.2017.1416948
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Business analytics maturity of firms: an examination of the relationships between managerial perception of IT, business analytics maturity and success

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Cited by 29 publications
(30 citation statements)
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References 33 publications
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“…Different authors and consulting groups propose different analytics maturity models/frameworks in order to reach a predefined analytical maturity level. In the literature, one of the latest research representing a summary of the existing analytics maturity models is one of Chen and Nath (2018). According to their research, numerous maturity models have emerged recently, following the proliferation of the predictive analytics tools development.…”
Section: Methodology and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Different authors and consulting groups propose different analytics maturity models/frameworks in order to reach a predefined analytical maturity level. In the literature, one of the latest research representing a summary of the existing analytics maturity models is one of Chen and Nath (2018). According to their research, numerous maturity models have emerged recently, following the proliferation of the predictive analytics tools development.…”
Section: Methodology and Resultsmentioning
confidence: 99%
“…According to their research, numerous maturity models have emerged recently, following the proliferation of the predictive analytics tools development. Chen and Nath (2018) suggest that business analytics maturity models can be categorized by the following determinants: technology, organization, capability, and impactfocused.…”
Section: Methodology and Resultsmentioning
confidence: 99%
“…According to Raguseo (2018), BA adoption enables an organization to achieve strategic, transactional, and informational benefits. The perception of managers towards the probable benefits from innovation adoption influences the adoption decision in organizations (Chen and Nath 2018;Lai et al 2018;Low et al 2011;Premkumar et al 1994;Verma and Bhattacharyya 2017).…”
Section: Perceived Benefitsmentioning
confidence: 99%
“…The impact of BI-BPM alignment on organizational performance is discussed by Ladeira et al (2016) who explain that both business process orientation and analytical capabilities affect organizational performance. Similarly, Chen and Nath (2018) suggest that the integration of business analytics into business processes can lead to improvements in organizational performance. Furthermore, Cao and Duan (2017) conclude that greater affinity between the BI and organizational processes can increase the efficiency of data-driven decision-making, thereby positively influencing organizational performance.…”
Section: The Alignment Of Business Intelligence and Business Process mentioning
confidence: 99%