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Ethnographic foresight : understanding your customers' futures
Crews, Christian - In: Research technology management : RTM 58 (2015) 6, pp. 50-52
Persistent link: https://www.econbiz.de/10011399047
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Predicting customer churn from valuable B2B customers in the logistics industry : a case study
Chen, Kuanchin; Hu, Ya-Han; Hsieh, Yi-Cheng - In: Information systems and e-business management : ISeB 13 (2015) 3, pp. 475-494
Persistent link: https://www.econbiz.de/10011373599
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A framework for identification of high-value customers by including social network baded variables for churn prediction using neuro-fuzzy techniques
Abbasimehr, Hossein; Setak, Mostafa; Soroor, Javad - In: International journal of production research 51 (2013) 4, pp. 1279-1294
Persistent link: https://www.econbiz.de/10009689206
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Leadership by customers? : new roles of service companies' customers
Maas, Peter; Graf, Albert - In: Zeitschrift für Personalforschung : ZfP 18 (2004) 3, pp. 329-345
In this paper we bring together two worlds that are usually strictly separated in research: leadership and customers. Until now leadership research has concentrated particularly on internal organizational processes, whereas customers were analyzed preferably in the context of marketing and...
Persistent link: https://www.econbiz.de/10010348635
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Predicting which season ticket holders will renew oand which will not
McDonald, Heath; Karg, Adam J.; Leckie, Civilai - In: European Sport management quarterly : ESMQ 14 (2014) 5, pp. 503-520
Persistent link: https://www.econbiz.de/10010482285
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Is the consumer sentiment index capable of forecasting the transaction activeness of clients? : case study for a commercial bank in China
Wang, Xia; Chen, Yung-hsin - In: Emerging markets finance & trade : a journal of the … 48 (2012), pp. 20-28
Persistent link: https://www.econbiz.de/10009682692
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Customer demand prediction of service-oriented manufacturing incorporating customer satisfaction
Cao, Jin; Jiang, Zhibin; Wang, Kangzhou - In: International journal of production research 54 (2016) 5/6, pp. 1303-1321
Persistent link: https://www.econbiz.de/10011495069
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Predicting season ticket holder retention using rich behavioral data
Karg, Adam; Tamaddoni, Ali; McDonald, Heath; Ewing, Michael - In: Journal of sport management : the official journal of … 35 (2021) 5, pp. 426-439
Persistent link: https://www.econbiz.de/10012651050
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Predicting firm stock returns with customer stock returns : moderating effects of customer characteristics
Shi, Jinyan; Yu, Conghui; Liu, Xiangkun; Li, Yanxi - In: Research in international business and finance 54 (2020), pp. 1-10
Persistent link: https://www.econbiz.de/10012581373
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Predicting airline passengers' loyalty using artificial neural network theory
Singh, Balgopal - In: Journal of air transport management 94 (2021), pp. 1-12
Persistent link: https://www.econbiz.de/10012591801