Realising newspaper sales by using statistic methods
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Today, some newspapers have started to service online only. One of the reasons of this situation is competitiveness and increasing costs in press market. So newspaper sale planning requires adaptive scheduling and understanding customer behavior well. Estimating the right number of delivery is crucial. It is succeeded with expert knowledge supported with proper analysis and techniques. This study focuses on understanding newspaper sales amount by revealing critical variables and their importance on sales. This is a critical shortcoming especially for newspaper companies, which always try to reduce the number of sell outs and increase the number of return in the delivered newspapers offer companies financial benefits. In this study, it was analyzed that whether different weather conditions (sunny, cloudy or rainy) and days (weekday or weekend) are effective in daily newspaper sales for Ankara, İzmir and İstanbul. One-way Anova, Two-way Anova, t-test, Levene’s, Kolmogorov-Smirnov, and The Kruskal–Wallis tests were used. Sales data was collected from 71 vendors of a national press firm in three cities between 12 September–31 December 2018. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
International Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- -- 242349
Anahtar Kelimeler
Anova, Newspaper sales prediction, Statistical methods, Computational complexity, Presses (machine tools), Sales, Adaptive scheduling, Critical variables, Customer behavior, Financial benefits, Increasing costs, Kolmogorov-Smirnov, Newspaper companies, Statistic method, Newsprint
