The Role of Consumers in Logistics Systems

Galkin, Andrii; Dolia, Constantin; Davidich, N.

doi:10.1016/j.trpro.2017.12.010

Cited by 23 publications

(13 citation statements)

References 15 publications

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“…Assessing the utility of retailer presented via the O-D matrix of generalized cost of end-consumers (17). The generalized costs are calculated on models (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21) and the results of calculations are given in Table 5. Assessing the utility of retailer presented via the O-D matrix of generalized cost of end-consumers (1).…”

Section: Resultsmentioning

confidence: 99%

“…At the same time, such methods do not fully reflect modern market conditions. Certain parameters of existing models and methods do not provide a systematic approach to determining retailer visiting probability according to the generalized costs of end-consumer factors (Galkin, Dolia and Davidich, 2018).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…The generalized costs of visit by residents of the ω-th neighborhood of the z zone that visits the j-retailer (Galkin, et al, 2018) are given as:…”

Section: Conceptual Frameworkmentioning

confidence: 99%

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Assessing the Utility of Retailer Based on Generalized Costs of End-Consumers

Halkin

2020

Foundations of Management

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AbstractThis paper gives a methodology to estimate the generalized costs of end-consumers visiting any retailer. The attractiveness and utility of retailers for end-consumers have been calculated based on their possible generalized costs according to their choice. According to the developed model, analysis of the consumer market visiting all shops in the described zone has been made. Research provides explanation of generalized costs of end-consumers. Generally, the utility function of end-consumers visiting retailers depends on the price and non-price factors. The regression models describing the time spent on transit to a retailer and inside of it provide monetary assessment of costs associated with the purchase process. The monetary level of fatigue was evaluated using the calories spent during the purchase process. The attractiveness of the retailer in an urban zone was assessed as an inverse function of the generalized costs.

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Section: Resultsmentioning

confidence: 99%

Section: Conceptual Frameworkmentioning

confidence: 99%

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Assessing the Utility of Retailer Based on Generalized Costs of End-Consumers

Halkin

2020

Foundations of Management

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“…In general, 24 people (women and men) aged 19-65 participated in the study. Parameters of the research area were selected and calculated using the method shown in the papers (Galkin, Dolia, & Davidich, 2018). The received data are presented in the Table 2.…”

Section: Attraction Of Stores For Consumers In the Residential Zonementioning

confidence: 99%

“…For today, the retail zone is often being part of the residence zone especially in urban area (Galkin, Dolia, & Davidich, 2018). Therefore, not related to measures implemented on a micro district scale, the developed models are not integrated with other components of urban mobility issues; end-consumers movement who purchases the goods in the same area they live.…”

Section: Introductionmentioning

confidence: 99%

Retail trade area analysis using multiple variables modeling at residential zone

Andrii

Balandina

Polchaninova

et al. 2019

Proceedings of 6th International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering ‘2

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Purpose – the purpose of the paper is to set up a method of retail trade area analysis using multiple variables modeling at a residential zone. Research methodology – system analysis; regression analysis; correlation analysis; simulating; urban characteristics analysis. Findings – retail trade area analysis using multiple variables modeling at residential zone based on the proposed method is performed by directly processing and analysing data in a separate zone. Research limitations – the obtained results can be used for data variation range of conducted experiment. Practical implications – the proposed method makes some adjustments in estimating the limits of the trade area, specifying it with the help of the non-linearity factor and area slope, thereby changing the shape of the circle into a complex figure, depending on the geographical landscape and the structure of the roads. Implementation is made for one of the consumer’s zone in Kharkiv, Ukraine. The results allowed to adjust the trade zone, which in fact reduced it twice. Originality/Value – the probabilities of visiting retailers have been calculated according to the developed model considering surrounding limitation. In such conditions, the analysis of the consumer market and identification of the trade zone of the retailers is one of the forms to improving the efficiency of the retailer functioning

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