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Year of publication
Subject
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Advanced analytics 5 Artificial intelligence 3 Künstliche Intelligenz 3 Advanced Analytics 2 Business process management 2 Data Mining 2 Data mining 2 Forecasting model 2 Machine learning 2 Operations Research 2 Operations research 2 Personal selling 2 Predictive analytics 2 Prescriptive Analytics 2 Prognoseverfahren 2 Prozessmanagement 2 Sales force effectiveness 2 Sales management 2 Agency theory 1 AstraZeneca 1 Betriebliche Wertschöpfung 1 Betriebliches Informationssystem 1 Business intelligence 1 Business intelligence system 1 Controllers’ added value 1 Corporate culture 1 Data-driven decision making 1 Decision support systems 1 Digital orientation 1 Information management 1 Informationsmanagement 1 Intelligent agents 1 Machine learning and artificial intelligence 1 Objective hierarchy networks 1 Operations Management 1 Pharmaceutical 1 Pharmaceutical industry 1 Pharmaindustrie 1 Predictive Analytics 1 Principal-agent problem 1
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Online availability
All
Free 7
Type of publication
All
Article 4 Book / Working Paper 3
Type of publication (narrower categories)
All
Article in journal 3 Aufsatz in Zeitschrift 3 Hochschulschrift 2 Article 1 Collection of articles of several authors 1 Collection of articles written by one author 1 Graue Literatur 1 Non-commercial literature 1 Sammelwerk 1 Sammlung 1 Thesis 1
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Language
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English 7
Author
All
Alavi, Sascha 2 Flath, Christoph 2 Habel, Johannes 2 Heinitz, Nicolas 2 Basra, R 1 Meller, Jan Maximilian 1 Pibernik, Richard 1 Stein, Nikolai Werner 1 Szukits, Ágnes 1 Willigers, Bart 1
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Published in...
All
AMS Review 1 AMS review : official publication of the Academy of Marketing Science 1 Journal of business analytics 1 Journal of management control 1
Source
All
ECONIS (ZBW) 5 BASE 1 EconStor 1
Showing 1 - 7 of 7
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A theory of predictive sales analytics adoption
Habel, Johannes; Alavi, Sascha; Heinitz, Nicolas - In: AMS Review 13 (2023) 1, pp. 34-54
Given the pervasive ubiquity of data, sales practice is moving rapidly into an era of predictive analytics, using quantitative methods, including machine learning algorithms, to reveal unknown information, such as customers' personality, value, or churn probabilities. However, many sales...
Persistent link: https://www.econbiz.de/10015165724
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A theory of predictive sales analytics adoption
Habel, Johannes; Alavi, Sascha; Heinitz, Nicolas - In: AMS review : official publication of the Academy of … 13 (2023) 1/2, pp. 34-54
Persistent link: https://www.econbiz.de/10014327814
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The illusion of data-driven decision making : the mediating effect of digital orientation and controllers’ added value in explaining organizational implications of advanced analyti...
Szukits, Ágnes - In: Journal of management control 33 (2022) 3, pp. 403-446
Persistent link: https://www.econbiz.de/10013448008
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How advanced analytics create (core) value : an example from a pharmaceutical company, AstraZeneca
Willigers, Bart - In: Journal of business analytics 3 (2020) 2, pp. 122-137
Persistent link: https://www.econbiz.de/10012383998
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Data-driven operations management : combining machine learning and optimization for improved decision-making
Meller, Jan Maximilian - 2020
Persistent link: https://www.econbiz.de/10012289261
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Advanced analytics in operations management and information systems : methods and applications
Stein, Nikolai Werner - 2019
Persistent link: https://www.econbiz.de/10012174509
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A framework for knowledge discovery within business intelligence for decision support
Basra, R - 2009
Business Intelligence (BI) techniques provide the potential to not only efficiently manage but further analyse and apply the collected information in an effective manner. Benefiting from research both within industry and academia, BI provides functionality for accessing, cleansing, transforming,...
Persistent link: https://www.econbiz.de/10009481436
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