Influence of store characteristics on product availability in retail business

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dc.contributor.authorAvlijas, Goran
dc.contributor.authorMilicevic, Nikola
dc.contributor.authorGolijanin, Danilo
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2018-12-06
dc.date.accessioned2018-12-17T09:35:02Z
dc.date.available2018-12-17T09:35:02Z
dc.description.abstractStock-out event in retail business represents a situation in which demanded item cannot be found by customer in the expected location or is not in a saleable condition. Frequent stock-outs remain one of the biggest issues in the retail business because they directly contribute to lost sales and reduced profits, and indirectly contribute to reduced loyalty and potential loss of customers. Although the stock-outs can occur anywhere in the entire supply chain, literature confirmed that the most of most of stock-outs occur at the store level. A number of researchers have tried to reveal the product and store related drivers and the factors that contribute to lower product availability. Identification of stock-outs was usually performed using the point-of-sale (POS) estimation method or manual audit method, so the results and conclusions were mostly based on a small number stores and products, and they were observed in a shorter period of time. In this research, probit regression was used to examine the relationship between various store-related drivers and product availability. The data sample included 115 SKUs and 98 stores and the data was provided by a large grocery retailer in Serbia. To identify stock-outs on a large data sample, a perpetual inventory (PI) aggregation method was selected. The store related variables that were determined to be the drivers of stock-out performance include distance from distribution center, average store sale and stock-keeping-unit density as the most the most prominent driver. Especially high probability of stock-out can be expected when stock-keeping-unit density and average store sale are high at the same time. On the other hand, it was observed that the income level of the population living in the store area does not have a significant influence on stock-out performance at store level.en
dc.formattext
dc.format.extent12 strancs
dc.identifier.doi10.15240/tul/001/2018-4-013
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/124754
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.ispartofAastrup, J., & Kotzab, H. (2009). Analyzing out-of-stock in independent grocery stores: an empirical study. International Journal of Retail & Distribution Management, 37(9), 765-789. https://dx.doi.org/10.1108/09590550910975817.cs
dc.relation.ispartofAastrup, J., & Kotzab, H. (2010). Forty years of out-of-stock research – and shelves are still empty. The International Review of Retail, Distribution and Consumer Research, 20(1), 147-164. https://dx.doi.org/10.1080/09593960903498284.cs
dc.relation.ispartofAndersen Consulting. (1996). Where to look for incremental sales gain. The retail problem of out of-stock. Atlanta: The Coca-Cola Research Council.cs
dc.relation.ispartofAngerer, A. (2005). The impact of automatic store replenishment systems on retail. PhD thesis. St. Gallen: University of St. Gallen.cs
dc.relation.ispartofAvlijas, G., Simicevic, A., Avlijas, R., & Prodanovic, M. (2015). Measuring the impact of stock-keeping unit attributes on retail stock-out performance. Operations Management Research, 8(3-4), 131-141. https://dx.doi.org/10.1007/s12063-015-0104-6.cs
dc.relation.ispartofCorsten, D., & Gruen, T. (2003). Desperately seeking shelf availability: an examination of the extent, the causes, and the efforts to address retail out-of-stocks. International Journal of Retail & Distribution Management, 31(12), 605-617. https://dx.doi.org/10.1108/09590550310507731.cs
dc.relation.ispartofDeHoratius, N., & Raman, A. (2008). Inventory record inaccuracy: an empirical analysis. Management Science, 54(4), 627-641. https://dx.doi.org/10.1287/mnsc.1070.0789.cs
dc.relation.ispartofECR Europe. (2003). ECR-optimal shelf availability: increasing shopper satisfaction at the moment of truth. ECR Europe.cs
dc.relation.ispartofEhrenthal, J. C., & Stölzle, W. (2013). An examination of the causes for retail stockouts. International Journal of Physical Distribution & Logistics Management, 43(1), 54-69. https://dx.doi.org/10.1108/09600031311293255.cs
dc.relation.ispartofEttouzani, Y., Yates, N., & Mena, C. (2012). Examining retail on shelf availability: promotional impact and a call for research. International Journal of Physical Distribution & Logistics Management, 42(3), 213-243. https://dx.doi.org/10.1108/09600031211225945.cs
dc.relation.ispartofFernie, J., & Grant, D. B. (2008). On-shelf availability: the case of a UK grocery retailer. International Journal of Logistics Management, 19(3), 293-308. https://dx.doi.org/10.1108/09574090810919170.cs
dc.relation.ispartofGrubor, A., Milicevic, N., & Djokic, N. (2016). The effect of inventory level on product availability and sale. Prague Economic Papers, 25(2), 221-233. https://dx.doi.org/10.18267/j.pep.556.cs
dc.relation.ispartofGrubor, A., & Milicevic, N. (2015). The Analysis of FMCG Product Availability in Retail Stores. Engineering Economics, 26(1), 67-74. https://dx.doi.org/10.5755/j01.ee.26.1.7070.cs
dc.relation.ispartofGruen, T. W., & Corsten, D. S. (2007). A comprehensive guide to retail out-of-stock reduction in the fast-moving consumer goods industry. Washington, D.C.: Grocery Manufacturers of America.cs
dc.relation.ispartofGruen, T. W., Corsten, D. S., & Bharadwaj, S. (2002). Retail out-of-stocks: A worldwide examination of extent, causes and consumer responses. Washington, D.C.: Grocery Manufacturers of America.cs
dc.relation.ispartofHofer, F. (2009). Logistics Management in food retail sector: design recommendations for avoiding stock-outs. Wiesbaden: Gabler.cs
dc.relation.ispartofLong, J. S. (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: Sage Publications.cs
dc.relation.ispartofMattsson, S. A. (2010). Inventory control in environments with seasonal demand. Operations Management Research, 3(3-4), 138-145. https://dx.doi.org/10.1007/s12063-010-0035-1.cs
dc.relation.ispartofMcKinnon, A. C., Mendes, D., & Nabateh, M. (2007). In-store logistics: an analysis of on-shelf availability and stockout response for three product groups. International Journal of Logistics: Research and Applications, 10(3), 251-268. https://dx.doi.org/10.1080/13675560701478075.cs
dc.relation.ispartofMoussaoui, I., Williams, B., Hofer, C., Aloysius, J. A., & Waller, M. A. (2016). Drivers of retail on-shelf availability: systematic review, critical assessment, and reflections on the road ahead. International Journal of Physical, Distribution & Logistics Management, 46(5), 516-535. https://dx.doi.org/10.1108/ijpdlm-11-2014-0284.cs
dc.relation.ispartofRonald Berger. (2003). Optimal shelf availability – Increasing shopper satisfaction at the moment of truth. Kontich, BEL: ECR Europe and Roland Berger.cs
dc.relation.ispartofSORS. (2016). Average salaries and wages, by districts and municipalities. Statistical Office of the Republic of Serbia. Retrieved July 30, 2016, from http://www.stat.gov.rs.cs
dc.relation.ispartofStölzle, W., & Placzek, T. (2004). Implementation of Optimal Shelf Availability – measurement concepts and standardization potentials. Presentation at the BVL Congress.cs
dc.relation.ispartofUsman, K. (2008). Determination of drivers of stock-out performance of retail stores using data mining techniques. Master thesis. Massachusetts Institute of Technology.cs
dc.relation.ispartofVan Donselaar, K. H., Gaur, V., Van Woensel, T., Broekmeulen, R. A., & Fransoo, J. C. (2010). Ordering behavior in retail stores and implications for automated replenishment. Management Science, 56(5), 766-784. https://dx.doi.org/10.1287/mnsc.1090.1141.cs
dc.relation.ispartofZinn, W., & Liu, P. C. (2001). Consumer response to retail stockouts. Journal of Business Logistics, 22(1), 49-71. https://dx.doi.org/10.1002/j.2158-1592.2001.tb00159.xcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectproduct availabilityen
dc.subjectstock-outsen
dc.subjectretailen
dc.subjectstore characteristicsen
dc.subject.classificationM31
dc.subject.classificationL81
dc.subject.classificationC35
dc.titleInfluence of store characteristics on product availability in retail businessen
dc.typeArticleen
local.accessopen
local.citation.epage206
local.citation.spage195
local.facultyFaculty of Economics
local.filenameEM_4_2018_13
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue4
local.relation.volume21
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