Search Results - subject:"Prescriptive"

Enacting the lean startup methodology : The role of vicarious and experiential learning processes

Mansoori, Yashar - In: International Journal of Entrepreneurial Behavior & Research 23 (2017) 5, pp. 812-838

entrepreneurs. It explores what happens when such instructions are enacted by entrepreneurs in the context of a “prescriptive … following the lean startup methodology in the context of a prescriptive accelerator where a strong focus on adhering to a … of the under-studied and novel phenomena of the lean startup methodology and prescriptive accelerators. It complements …

Persistent link: https://www.econbiz.de/10014770425

Social media optimization : identifying an optimal strategy for increasing network size on Facebook

Ballings, Michel; Van den Poel, Dirk; Bogaert, Matthias - In: Omega : the international journal of management science 59 (2016), pp. 15-25

Persistent link: https://www.econbiz.de/10011439719

Early prediction of movie success : the who, what, and when profitability

Lash, Michael T.; Zhao, Kang - In: Journal of management information systems : JMIS 33 (2016) 3, pp. 874-903

Persistent link: https://www.econbiz.de/10011635403

Advanced spatial analytics and management : models, methods and applications

Müller, Sven - In: Problems and perspectives in management : PPM ; … 14 (2016) 2, pp. 67-73

Persistent link: https://www.econbiz.de/10011654897

Business Analytics und Business Intelligence : Säulen eines integrierten Ansatzes der IT-basierten Entscheidungsunterstützung

Ereth, Julian; Kemper, Hans-Georg - In: Controlling : Zeitschrift für erfolgsorientierte … 28 (2016) 8/9, pp. 458-464

Persistent link: https://www.econbiz.de/10011666088

Prescriptive labeling of food products : a suitable policy instrument?

Duvaleix-Tréguer, Sabine; Soler, Louis-Georges - In: Revue d'économie politique 126 (2016) 5, pp. 895-919

Persistent link: https://www.econbiz.de/10011593032

Prescriptive control of business processes : new potentials through predictive analytics of big data in the process manufacturing industry

Krumeich, Julian; Werth, Dirk; Loos, Peter - In: Business & information systems engineering : BISE ; the … 58 (2016) 4, pp. 261-280

Persistent link: https://www.econbiz.de/10011595260

A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology

Weckman, Gary R.; Dravenstott, Ronald W.; Young II, … - In: International Journal of Business Analytics (IJBAN) 3 (2016) 1, pp. 1-21

Stock price forecasting is a classic problem facing analysts. Forecasting models have been developed for predicting individual stocks and stock indices around the world and in numerous industries. According to a literature review, these models have yet to be applied to the restaurant industry....

Persistent link: https://www.econbiz.de/10012043160

Defining, Understanding, and Addressing Big Data

Weckman, Gary R.; Bihl, Trevor J.; Young II, William A. - In: International Journal of Business Analytics (IJBAN) 3 (2016) 2, pp. 1-32

“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in which data can be collected is more readily available than ever, which makes Big Data more relevant than ever...

Persistent link: https://www.econbiz.de/10012043164

Applicative Personalized Learning: How Gamification is Driving Learning

Zhuhadar, Leyla; Coleman, Phillip; Marklin, Scarlett - In: International Journal of Knowledge Society Research (IJKSR) 7 (2016) 4, pp. 24-37

As technology has advanced, educational establishments are faced with this question: Are we investing enough funds and resources to provide college students with effective learning tools that could help them succeed not only by alerting them when they are at risk, but also providing them with...

Persistent link: https://www.econbiz.de/10012046303