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Mining massive finde-grained behacior data to improve predictice analytics

Martens, David; Provost, Foster; Clark, Jessica; De … - In: Management information systems : mis quarterly 40 (2016) 4, pp. 869-888

Persistent link: https://www.econbiz.de/10011612497

Crowd-squared : amplifying the predictive power of search trend data

Brynjolfsson, Erik; Geva, Tomer; Reichman, Shachar - In: Management information systems : mis quarterly 40 (2016) 4, pp. 941-961

Persistent link: https://www.econbiz.de/10011612504

Analytics, challenges and applications in big data environment : a survey

Bendre, Mininath R.; Thool, Vijaya R. - In: Journal of management analytics 3 (2016) 3, pp. 206-239

Persistent link: https://www.econbiz.de/10011688906

Big data and privacy : a legal perspective and comparative study of the USA and India

Rautdesai, Rupal; Nandekar, Ujwal; Kedari, Aditya; … - In: International journal of process management and … 9 (2019) 2, pp. 250-275

Persistent link: https://www.econbiz.de/10012051843

Predicting risk perception : new insights from data science

Bhatia, Sudeep - In: Management science : journal of the Institute for … 65 (2019) 8, pp. 3800-3823

Persistent link: https://www.econbiz.de/10012062811

Integrating the principles of green marketing by using big data : good practices

Andronie, Mihai; Gârdan, Daniel Adrian; Dumitru, Ionel; … - In: Amfiteatru economic : an economic and business research … 21 (2019) 50, pp. 258-269

Implementing the principles of green marketing started since the 70’s, once the social and societal marketing concepts were defined. The challenges brought around by globalization and the excessive pollution of the environment, that contemporary companies had to face, requested the...

Persistent link: https://www.econbiz.de/10011979931