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Challenges and solutions for marketing in a digital era
Leeflang, Peter S.H.; Verhoef, Peter C.; Dahlström, Peter - In: European Management Journal 32 (2014) 1, pp. 1-12
Internet usage continues to explode across the world with digital becoming an increasingly important source of competitive advantage in both B2C and B2B marketing. A great deal of attention has been focused on the tremendous opportunities digital marketing presents, with little attention on the...
Persistent link: https://www.econbiz.de/10011039708
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An Extension Collaborative Innovation Model in the Context of Big Data
Li, Xingsen; Tian, Yingjie; Smarandache, Florentin; … - In: International Journal of Information Technology & … 14 (2015) 01, pp. 69-91
The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty. Computer science and information technology are changing the innovation environment and accumulating Big Data from which a lot of knowledge is to be...
Persistent link: https://www.econbiz.de/10011279047
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Stay Ahead of Competition
Fok, Fok, D. - Erasmus Research Institute of Management (ERIM), … - 2013
The widespread use of the Internet and computer systems has led to a situation where data are available on almost everything. The volume and the level of detail of these data is something we considered to be impossible until a few years ago. Researchers in economics and business now have access...
Persistent link: https://www.econbiz.de/10010730462
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Big Data and Specific Analysis Methods for Insurance Fraud Detection
BOLOGA, Ramona; BOLOGA, Razvan; FLOREA, Alexandra - In: Database Systems Journal 4 (2013) 4, pp. 30-39
Analytics is the future of big data because only transforming data into information gives them value and can turn data …
Persistent link: https://www.econbiz.de/10010756322
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Selecting rows and columns for training support vector regression models with large retail datasets
Gür Ali, Özden; Yaman, Kübra - In: European Journal of Operational Research 226 (2013) 3, pp. 471-480
Although support vector regression models are being used successfully in various applications, the size of the business datasets with millions of observations and thousands of variables makes training them difficult, if not impossible to solve. This paper introduces the Row and Column Selection...
Persistent link: https://www.econbiz.de/10011052484
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Perspectives on Big Data and Big Data Analytics
ULARU, Elena Geanina; PUICAN, Florina Camelia; APOSTU, Anca - In: Database Systems Journal 3 (2012) 4, pp. 3-14
intends to define the concept of Big Data and stress the importance of Big Data Analytics. …
Persistent link: https://www.econbiz.de/10010819177
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Consumer Privacy and the Incentives to Price-Discriminate in Online Markets
de Cornière, Alexandre; Montes, Rodrigo - In: Review of Network Economics 16 (2017) 3, pp. 291-305
or to a uniform price. We introduce a simple model in which a monopolist can use analytics to access consumer data to … profitable when the value added through customization is sufficiently high. An intermediate quality of analytics gives the …
Persistent link: https://www.econbiz.de/10014618910
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Operational research from Taylorism to Terabytes: A research agenda for the analytics age
Mortenson, Michael J.; Doherty, Neil F.; Robinson, Stewart - In: European Journal of Operational Research 241 (2015) 3, pp. 583-595
The growing attention and prominence afforded to analytics presents a genuine challenge for the operational research … community. Many in the community have recognised this growth and sought to align themselves with analytics. For instance, the US … operational research society INFORMS now offers analytics related conferences, certification and a magazine. However, as shown in …
Persistent link: https://www.econbiz.de/10011117473
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Golden Rule of Forecasting: Be conservative
Armstrong, J. Scott; Green, Kesten C.; Graefe, Andreas - Volkswirtschaftliche Fakultät, … - 2014
This paper proposes a unifying theory of forecasting in the form of a Golden Rule of Forecasting. The Golden Rule is to be conservative. A conservative forecast is consistent with cumulative knowledge about the present and the past. To be conservative, forecasters must seek all knowledge...
Persistent link: https://www.econbiz.de/10011257908
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Applying analytics in the energy industry: A case study of heat rate and opacity prediction in a coal-fired power plant
Chongwatpol, Jongsawas; Phurithititanapong, Thanrawee - In: Energy 75 (2014) C, pp. 463-473
challenge, advanced analytics through data mining approaches has been applied to predict and explain the leading causes of …
Persistent link: https://www.econbiz.de/10010931401