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

Andrii Halkin

Open Access

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

Andrii Halkin

| Mar 03, 2020

Foundations of Management

Volume 12 (2020): Issue 1 (January 2020)

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Page range: 31 - 42

DOI: https://doi.org/10.2478/fman-2020-0003

Keywords
end-consumers, zone, non-linearity factor, slope factor, generalized costs

© 2020 Andrii Halkin, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Trading area (Source: Authors’ own research)

Adjusted trade area: 1,…,8 – zones; А,..,G – stores (Source: Authors’ own research)

Output data for obtaining time changing models (Source: Authors’ own research)

№	Time movement, min.		Slope factor		Non-linearity factor	Distance, km		Time of trade service, km	Size of the store, m²	Total visiting time, min.
№	to store	from store	to store	by air	Non-linearity factor	by air	by road	Time of trade service, km	Size of the store, m²	Total visiting time, min.
1	10	11	0.990	1.010	1.23	0.57	0.7	19	700	40
2	11	11	0.996	1.004	1.36	0.55	0.75	22	1408	44
…	…	…	…	…	…	…	…	…	…	…
86	6	4	1.100	0.900	1.00	0.3	0.3	12	140	22

Demand attractiveness matrix of visiting a retailers in described zone (Source: Authors’ own research)

Retailer	Residential zones
Retailer	1	2	3	4	5	6	7	8	9	Σ
A	0.0150	0.0104	0.0080	0.0206	0.0093	0.0055	0.0132	0.0113	0.0014	0.0948
B	0.0125	0.0095	0.0084	0.0177	0.0085	0.0055	0.0116	0.0103	0.0014	0.0853
C	0.0153	0.0091	0.0070	0.0227	0.0089	0.0050	0.0144	0.0121	0.0014	0.0958
D	0.0176	0.0122	0.0091	0.0260	0.0118	0.0064	0.0163	0.0140	0.0018	0.1152
E	0.0125	0.0095	0.0087	0.0183	0.0094	0.0064	0.0125	0.0111	0.0016	0.0900
F	0.0148	0.0115	0.0109	0.0217	0.0115	0.0080	0.0146	0.0129	0.0019	0.1079
G	0.0162	0.0109	0.0087	0.0263	0.0119	0.0064	0.0180	0.0155	0.0019	0.1159
H	0.0131	0.0080	0.0064	0.0218	0.0082	0.0047	0.0168	0.0141	0.0014	0.0944
I	0.0131	0.0085	0.0070	0.0219	0.0091	0.0052	0.0183	0.0189	0.0017	0.1038
K	0.0132	0.0097	0.0084	0.0202	0.0104	0.0064	0.0142	0.0127	0.0018	0.0970
Σ	0.1432	0.0993	0.0827	0.2172	0.0988	0.0595	0.1501	0.1329	0.0164	1

Results of model evaluation (Source: Authors’ own research)

Indicator	Value for energy cost model	Value of the time cost model

Student Criterion:
• calculated	1.97	1.97
• actual value of the slope factor	2.007	2.281
• actual value of the none-linearity factor	7.325	6.956
• actual value of the distance between the points “by air”	67.64	66.097

Fischer Criterion:
• calculated	3.88	3.88
• actual	6730.09	6268.63

Correlation coefficient	0.99	0.99

Determination coefficient	0.89	0.98

Output data for obtaining models of change in calories consumed (Source: Authors’ own research)

№	Energy expenses on the road, kcal.		Slope factor		Non-linearity factor	Distance, km		Energy expenses at retailer, kcal.	Size of the retailer, m²	Total energy expenses per visit, kcal.
№	to store	from store	to store	from store	Non-linearity factor	by air	by road	Energy expenses at retailer, kcal.	Size of the retailer, m²	Total energy expenses per visit, kcal.
1	45	49	0.990	1.010	1.23	0.57	0.7	8	700	102
2	54	53	0.996	1.004	1.36	0.55	0.75	18	1408	125
3	72	73	0.995	1.005	1.10	0.91	1	5	576	150
4	37	39	0.987	1.013	1.31	0.42	0.55	9	500	85
…	…	…	…	…	…	…	…	…	…	…
86	30	21	1.100	0.900	1.00	0.3	0.3	5	140	56

OD matrix (Source: Authors’ own research)

Retailer	Monetary expression of shopping time spent on purchases, UAH								Monetary expression of the energy (fatigue) spent on purchases, UAH
	Zone								Zone
	1	2	3	4	5	6	7	8	1	2	3	4	5	6	7	8
A	11.46	13.42	12.05	12.32	14.95	19.49	18.42	14.57	2.53	3.19	2.73	2.82	3.71	5.23	4.88	3.58
B	10.26	9.68	15.75	13.62	11.70	15.20	16.47	13.73	1.79	1.62	3.40	2.78	2.22	3.24	3.61	2.81
C	10.44	7.02	15.27	13.43	9.37	12.67	14.68	12.53	2.38	1.24	4.02	3.40	2.03	3.14	3.83	3.10
D	14.90	9.33	18.02	14.62	6.67	7.66	11.22	11.74	3.57	1.92	4.52	3.50	1.12	1.41	2.49	2.64
E	20.57	17.56	23.40	19.70	14.25	16.98	16.31	17.43	4.02	3.16	4.86	3.79	2.20	2.99	2.81	3.13
G	16.08	14.43	18.54	13.91	8.28	9.55	8.87	9.91	4.12	3.57	4.96	3.40	1.50	1.93	1.70	2.06
H	14.04	11.04	13.16	8.88	10.72	13.38	10.16	7.78	3.26	2.36	3.00	1.71	2.26	3.07	2.10	1.39
F	16.84	13.61	15.67	10.48	11.70	12.35	6.77	5.52	4.60	3.52	4.22	2.47	2.88	3.10	1.22	0.80
K	18.11	19.00	7.33	9.76	20.29	23.11	16.93	14.68	4.35	4.62	1.21	1.93	4.99	5.82	4.01	3.36

Origin-Destination generalized costs matrix on visiting retailer from different origins (UAH) (Source: Authors’ own research)

Retailer	Residential zones
Retailer	1	2	3	4	5	6	7	8	9
A	57.4	61.6	60.6	55.7	58.7	54.4	57.7	55.1	60.2
B	51.0	55.7	55.0	52.3	52.2	47.8	51.8	49.9	54.8
C	67.7	65.6	63.0	63.8	68.9	63.5	63.5	59.6	55.9
D	61.7	64.0	61.5	60.3	60.1	54.9	57.9	54.2	57.7
E	57.6	59.4	57.0	55.0	56.9	51.7	55.2	49.4	56.8
F	62.6	59.4	54.8	58.2	65.0	59.4	60.3	54.9	50.3
G	57.7	60.1	55.8	55.7	57.0	51.7	54.7	49.1	51.0
H	57.5	59.6	52.1	53.3	59.6	54.5	58.7	51.4	46.5
I	61.5	60.5	55.7	57.3	62.2	58.0	60.3	53.3	50.0
K	61.4	57.6	53.2	57.1	64.3	59.0	59.9	54.3	49.4

eISSN:: 2300-5661
Language:: English

Publication timeframe:: Volume Open
Journal Subjects:: Computer Sciences, Business Computing, Business and Economics, Business Management, Management Accounting, Financial Controlling, Cost Calculation, Investment

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

Published Online: Mar 03, 2020

Page range: 31 - 42

DOI: https://doi.org/10.2478/fman-2020-0003

Keywords
end-consumers, zone, non-linearity factor, slope factor, generalized costs

© 2020 Andrii Halkin, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Output data for obtaining time changing models (Source: Authors’ own research)

Demand attractiveness matrix of visiting a retailers in described zone (Source: Authors’ own research)

Results of model evaluation (Source: Authors’ own research)

Output data for obtaining models of change in calories consumed (Source: Authors’ own research)

OD matrix (Source: Authors’ own research)

Origin-Destination generalized costs matrix on visiting retailer from different origins (UAH) (Source: Authors’ own research)

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

Published Online: Mar 03, 2020

Page range: 31 - 42

DOI: https://doi.org/10.2478/fman-2020-0003

Keywordsend-consumers, zone, non-linearity factor, slope factor, generalized costs

© 2020 Andrii Halkin, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Output data for obtaining time changing models (Source: Authors’ own research)

Demand attractiveness matrix of visiting a retailers in described zone (Source: Authors’ own research)

Results of model evaluation (Source: Authors’ own research)

Output data for obtaining models of change in calories consumed (Source: Authors’ own research)

OD matrix (Source: Authors’ own research)

Origin-Destination generalized costs matrix on visiting retailer from different origins (UAH) (Source: Authors’ own research)

Keywords
end-consumers, zone, non-linearity factor, slope factor, generalized costs