Service data analytics and business intelligence 2017

Wu, Desheng Dash; Härdle, Wolfgang Karl

doi:10.1007/s00180-020-00968-2

Comput Stat

2020

DOI: 10.1007/s00180-020-00968-2

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Service data analytics and business intelligence 2017

Desheng Dash Wu

Wolfgang Karl Härdle

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2024

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Cited by 2 publications

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Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching

Zanardelli,

Carpita,

Manisera

2024

Comput Stat

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In this paper, we address the problem of classification by handedness of Olympic Trap shooters applying statistical methods to newly available data gathered from the field. We assess the performance of binary classification models based on KNN and Binary Regression, with both symmetric and asymmetric link functions, in a context characterized by unbalanced data. Our results show promising classification performance, suitable for first non-critical applications in data driven training services and remote coaching, encouraging further future research.

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Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching

Zanardelli,

Carpita,

Manisera

2024

Comput Stat

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Enablers and barriers of Adopting BI-tool for data analytics in Large Enterprises of Bangladesh

Khanom,

Nahid,

Rabbani

2024

SHS Web Conf.

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The objective of this research is to examine the factors that facilitate or hinder the incorporation of Business Intelligence (BI) tools for data analysis and decision-making in enterprises in Bangladesh, using an adapted TOE framework. A quantitative methodology was used, consisting of a purposive survey conducted on 290 individuals who had experience in BI-Applications for the purpose of analytics. 191 valid survey responses were collected and analyzed using PLS-SEM. A conceptual framework consisting of 8 first order reflective constructs and 3 second order constructs were developed to examine the hypotheses, which portrays the main reflective elements as a set of variables that serve as reflective indicators for second-order constructs, encompassing technical, organizational, and environmental factors. The reported data indicated that factors such as relative advantage, compatibility, simplicity, top management support, organizational fit, competitive pressure, and vendor support have a substantial effect on the adoption of BI tools

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Service data analytics and business intelligence 2017

Cited by 2 publications

References 16 publications

Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching

Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching

Enablers and barriers of Adopting BI-tool for data analytics in Large Enterprises of Bangladesh

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