|
Literature | Visibility focused | Objectives | Methods | SC types |
|
Delen et al. [21] | RFID data | Logistical performance | Case study | Retail |
Williams et al. [22] | Demand, supply, and market visibility | Supply chain responsiveness | Empirical study | Various including food |
Tse and Tan [23] | Quality risk visibility | Multi-outsourcing decision | Marginal incremental analysis (MIA) | Common |
Guo [24] | Quality information disclosure | Company pricing and profit | Mathematical modelling | Common |
Zhao et al. [25] | Quality information disclosure | Company pricing and profit | Mathematical modelling | Common |
Wu et al. [26] | Quality information sharing or not | Company profit and market share | Mathematical modelling | Common |
Piramuthu et al. [27] | Accuracy of contamination source identification | Liability cost, recall timing | Mathematical modelling | Food |
Granados and Gupta [7] | Quality, price, and features transparency, etc. | Buyer’s purchase decision, business, information, and IT strategies | Theoretical development | Common |
Ghosh and Galbreth [28] | Quality information disclosure | Consumer search and purchase, company pricing, and profit | Mathematical modelling | Common |
Riganelli and Marchini [29] | Labelling strategies | Consumer demand, company performance | Empirical study | Food |
Buell and Kalkanci [30] | Internal and external operational transparency | Consumer purchase | Field experiment | Apparel and food |
El Benni et al. [8] | Authenticity cues | Consumer choice | Survey | Food |
This paper | Supply chain quality visibility | Company pricing, visibility decision, and SC performance | Mathematical modelling | Food |
|