Software support of managerial decision making based on system approach

Peterková, Jindra; Nemcik, Petr; Vančura, Vladislav; Gottfried, Jan

doi:10.1109/carpathiancc.2012.6228703

Cited by 1 publication

(1 citation statement)

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“…A large number of products have been assessed in terms of life cycle [16]. Protocols for LCA can be achieved in the following ways: an analogy method [17], sales growth rate [18], a penetration method [19] and mathematical modeling [20]. Further, several types of algorithms were proposed to fit the curves of sales [21,22].…”

Section: Introductionmentioning

confidence: 99%

Bass-Modeling for Fast Fashion Lady's Shoes Based on Consumer Behavior

Keyu¹,

He²,

Liang³

et al. 2019

LFJ

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BASS-MODELING FOR FAST FASHION LADY'S SHOES BASED ON CONSUMER BEHAVIOR ABSTRACT. Fast fashion is prevalent in the retail industry, however, plotting its life cycle becomes problematic as that feedback from sales record is even considered to be late for them. So, variables in the process of consumer behavior are potential ones for life cycle assessment of fast fashion products. Currently, most studies of Bass model chose the sales data, but whether the Bass model can also be applied for those in consuming process has not been evaluated; meanwhile, if the modeling based on consumer behaviors such as attention and fitting are available, we can project forward in time and make predictions much earlier than those based only on sales. Therefore, we developed a special system and it was used to collect the attention and fitting records. Our results show that only moderate Bass-fitting results were found for individual-level data; while, good to excellent results could be obtained for the accumulated data. Further, a moderate to good correlation was found between the sales and attention on one hand, and sale and fitting on the other. Regression models including Bass Model equations could be applied to predict the sales by either the attention or the fitting data. Overall, variables of consumer behavior, such as attention and fitting, were found to be suitable for Bass Modeling; further they were found to be good indicators to predict sales. These efforts advanced the time required to predict the sales trend of fast fashion sandals and make the predictive protocols more reliable. KEY WORDS: LCA, RFID, attention-fitting-buying model, attention and fitting, off-line retailing MODELUL BASS APLICAT ÎN CAZUL PANTOFILOR DE DAMĂ ÎN REGIM DE MODĂ RAPIDĂ PE BAZA COMPORTAMENTULUI CONSUMATORILOR REZUMAT. Moda rapidă este predominantă în industria de vânzare cu amănuntul, însă, trasarea ciclului său de viaţă devine problematică, întrucât feedback-ul provenit din înregistrările de vânzări este considerat întârziat în acest caz. Aşadar, variabilele în comportamentul consumatorului sunt variabilele potenţiale pentru evaluarea ciclului de viaţă al produselor de modă rapidă. În prezent, majoritatea studiilor care utilizează modelul Bass au selectat datele din vânzări, dar nu s-a analizat dacă modelul Bass poate fi aplicat şi în cazul procesului de consum; în acelaşi timp, dacă modelele bazate pe comportamentele consumatorilor sunt disponibile, cum ar fi atenţia şi potrivirea, putem proiecta în timp şi face predicţii mult mai timpuriu decât doar pe baza vânzărilor. Prin urmare, s-a dezvoltat un sistem special şi a fost utilizat pentru colectarea înregistrărilor privind atenţia şi potrivirea. Rezultatele noastre arată că s-au găsit doar constatări moderate utilizând modelul Bass pentru datele la nivel individual, în timp ce rezultate bune şi excelente s-au obţinut pentru datele acumulate. Mai mult, s-a găsit o corelaţie moderată până la bună între vânzări şi atenţie pe de o parte, şi între vânzare şi potrivire pe de altă parte. Modelele de ...

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