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Exploiting big data in logistics risk assessment via Bayesian nonparametrics
Shang, Yan; Dunson, David B.; Song, Jing-Sheng - In: Operations research 65 (2017) 6, pp. 1574-1588
Persistent link: https://www.econbiz.de/10011777806
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Do consumer perceptions of tanking impact attendance at national basketball association games? : a sentiment analysis approach
Gong, Hua; Watanabe, Nicholas M.; Soebbing, Brian P.; … - In: Journal of sport management : the official journal of … 35 (2021) 3, pp. 254-265
Persistent link: https://www.econbiz.de/10012658727
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Forecasting destination weekly hotel occupancy with big data
Pan, Bing; Yang, Yang - In: Journal of travel research : a quarterly publication of … 56 (2017) 7, pp. 957-970
Persistent link: https://www.econbiz.de/10011731366
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Demand forecasting model development through big data analysis
Yang, Seungjung; Joo, Heajong; Youm, Sekyoung - In: Electronic commerce research 21 (2021) 3, pp. 727-745
Persistent link: https://www.econbiz.de/10012698216
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Forecasting Chinese cruise tourism demand with big data : an optimized machine learning approach
Xie, Gang; Qian, Yatong; Wang, Shouyang - In: Tourism management : research, policies, practice 82 (2021), pp. 1-10
Persistent link: https://www.econbiz.de/10012414315
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A big data driven framework for demand-driven forecasting with effects of marketing-mix variables
Kumar, Ajay; Shankar, Ravi; Aljohani, Naif Radi - In: Industrial marketing management : the international … 90 (2020), pp. 493-507
Persistent link: https://www.econbiz.de/10012372710
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Spurious patterns in Google Trends data : an analysis of the effects on tourism demand forecasting in Germany
Bokelmann, Björn; Lessmann, Stefan - In: Tourism management : research, policies, practice 75 (2019), pp. 1-12
Persistent link: https://www.econbiz.de/10012063545
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Coping with demand volatility in retail pharmacies with the aid of big data exploration
Papanagnou, Christos I.; Matthews-Amune, Omeiza - In: Computers & operations research : and their … 98 (2018), pp. 343-354
Persistent link: https://www.econbiz.de/10011886964
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Predicting hotel demand using destination marketing organization's web traffic data
Yang, Yang; Pan, Bing; Song, Haiyan - In: Journal of travel research : a quarterly publication of … 53 (2014) 4, pp. 433-447
Persistent link: https://www.econbiz.de/10010379414
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Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques
Maaß, Dennis; Spruit, Marco René; Waal, Peter de - In: Decision Analytics 1 (2014), pp. 1-17
differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects … the retail industry. This new situation imposes stronger requirements on demand forecasting methods. Due to shorter … product lifecycles historical sales information, which is the most important source of information used for demand forecasts …
Persistent link: https://www.econbiz.de/10010338778