Abstract:Objective: to investigate the cost efficiency of inventory management for publicly home appliance retail companies in the Brazilian market that operate, among other channels, with B2C (Business-to-Costumer) and discuss the possible impacts of ecommerce on inventory management. Method: the first step, construction of a descriptive summary of Magazine Luiza and seven other competitors; the second step, analysis of the optimal cost efficiency of companies' inventory management, through an integrated and dynamic m… Show more
“…In 2002, Stochastic Frontier Analysis (SFA) was also proposed [25] . The differences between both approaches have been widely explored in the literature [26] , [27] , [28] , [29] . Although no approach fits all situations [26] , DEA enables easy dealing with multiple metric units and multiple outputs [ 27 , 28 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…[18] , [19] , [20] , [21] applied the models to the balance sheet data of publicly traded companies from various industries in Brazil and Chile. However, inventory treatment in the retailing industry is very particular and different from other industries [ 10 , 27 , 57 ]. Also, the original models did not consider essential variables for retailing, such as Gross Margin ( GM ), Plant, Property, and Equipment ( PPE ), Inventory Slack ( InvSlack ), and Capacity Slack ( CapSlack ) [10] .…”
Section: Literature Reviewmentioning
confidence: 99%
“…Also, the original models did not consider essential variables for retailing, such as Gross Margin ( GM ), Plant, Property, and Equipment ( PPE ), Inventory Slack ( InvSlack ), and Capacity Slack ( CapSlack ) [10] . Finally, inflation is non-neglectable when dealing with financial accounting, especially in emerging markets [ 11 , 27 , 57 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…1 . In other words, it considers the inventory under inflationary conditions [ 11 , 27 , 57 ] and incorporates a critical variable for retailing activities, GM [ 8 , 10 ]. Also, it deals with variables representing digital and physical performance aspects, respectively, CapSlack and InvSlack [ 8 , 10 ].…”
“…In 2002, Stochastic Frontier Analysis (SFA) was also proposed [25] . The differences between both approaches have been widely explored in the literature [26] , [27] , [28] , [29] . Although no approach fits all situations [26] , DEA enables easy dealing with multiple metric units and multiple outputs [ 27 , 28 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…[18] , [19] , [20] , [21] applied the models to the balance sheet data of publicly traded companies from various industries in Brazil and Chile. However, inventory treatment in the retailing industry is very particular and different from other industries [ 10 , 27 , 57 ]. Also, the original models did not consider essential variables for retailing, such as Gross Margin ( GM ), Plant, Property, and Equipment ( PPE ), Inventory Slack ( InvSlack ), and Capacity Slack ( CapSlack ) [10] .…”
Section: Literature Reviewmentioning
confidence: 99%
“…Also, the original models did not consider essential variables for retailing, such as Gross Margin ( GM ), Plant, Property, and Equipment ( PPE ), Inventory Slack ( InvSlack ), and Capacity Slack ( CapSlack ) [10] . Finally, inflation is non-neglectable when dealing with financial accounting, especially in emerging markets [ 11 , 27 , 57 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…1 . In other words, it considers the inventory under inflationary conditions [ 11 , 27 , 57 ] and incorporates a critical variable for retailing activities, GM [ 8 , 10 ]. Also, it deals with variables representing digital and physical performance aspects, respectively, CapSlack and InvSlack [ 8 , 10 ].…”
“…Although the SBM model has already been applied with composite index tie-breaking for international supply chain management [40][41][42][43], the combination with a double-frontier composite index and HN structure is a novelty. In this way, besides the social relevance for supporting bid/no-bid decisions of smallholder farmers, the present paper also brings a methodological novelty in the DEA literature.…”
Section: Decision Support and Data Envelopment Analysis (Dea)mentioning
In Brazil, the National School Feeding Program (PNAE) seeks to contribute to the socio-economic development of smallholder farmers, prioritizing them in supplying their products for preparing daily meals in public schools. However, farmers face challenges in determining which school calls to bid for and the potential benefits from their participation, due to the multiple quantitative and qualitative decision criteria involved. This paper presents a novel Data Envelopment Analysis (DEA)-based method for bidding priority setting, to support the decision making. The model was applied for a case study in Brazil. The academic contribution lies in the innovation of using a Double-Frontier Slack-Based Measure (SBM) DEA model for Hierarchical Network systems, i.e., applied to multiple levels and followed by a tie-breaking method. The practical contribution lies in the decision support of farmers by presenting the results at three levels, the first of which is a ranking by the town or urban cluster priority, the second by the school, and the third by the products. Thus, using the rankings of calls, farmers can make informed decisions regarding the feasibility of bidding for each PNAE public call. At the same time, the objective rankings can alleviate friction and conflict within co-operatives during the decision-making process.
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