The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach

Sener, Abdurrezzak; Barut, Mehmet; Oztekin, Asil; Avcilar, Mutlu Yüksel; Yildirim, Mehmet Bayram

doi:10.1016/j.jbusres.2019.01.070

Cited by 33 publications

(23 citation statements)

References 117 publications

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“…Blockchain technology is an indispensable tool for SSCM [157]. To solve the issue of information asymmetry, firms can apply the recent developments in blockchain technology; these applications provide mechanisms that simultaneously create a trust culture and preserve competitive identity [156]. An application framework based on emerging technologies, including blockchain for the agri-food supply chain can guide sustainable supply chain practitioners in building a robust data-driven agri-food supply chain [158].…”

Section: Performancementioning

confidence: 99%

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Paliwal¹,

Chandra²,

Sharma³

2020

Sustainability

179

190

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Through a systematic review of publications in reputed peer-reviewed journals, this paper investigates the role of blockchain technology in sustainable supply chain management. It uses the What, Who, Where, When, How, and Why (5W+1H) pattern to formulate research objectives and questions. The review considers publications since 2015, and it includes 187 papers published in 2017, 2018, 2019, and the early part of 2020, since no significant publications were found in the year 2015 or 2016 on this subject. It proposes a reusable classification framework—emerging technology literature classification level (ETLCL) framework—based on grounded theory and the technology readiness level for conducting literature reviews in various focus areas of an emerging technology. Subsequently, the study uses ETLCL to classify the literature on our focus area. The results show traceability and transparency as the key benefits of applying blockchain technology. They also indicate a heightened interest in blockchain-based information systems for sustainable supply chain management starting since 2017. This paper offers invaluable insights for managers and leaders who envision sustainability as an essential component of their business. The findings demonstrate the disruptive power and role of blockchain-based information systems. Given the relative novelty of the topic and its scattered literature, the paper helps practitioners examining its various aspects by directing them to the right information sources.

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Section: Performancementioning

confidence: 99%

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Paliwal¹,

Chandra²,

Sharma³

2020

Sustainability

179

190

View full text Add to dashboard Cite

show abstract

“…The details on the collated data and experts' agreement on identified challenges are provided in section 5.1 and section 5.2 respectively. Balaji and Arshinder, 2016;Bustos and Moors, 2018;Dania et al, 2018;Sener et al, 2019. (ii) Government and policy related challenges (GP) 7…”

Section: Challenges To Food Safetymentioning

confidence: 99%

“…Food value chains include several intermediaries, viz., retailers, wholesalers, distributors, traders, processors, marketers and farmers or farm suppliers (Krishnan et al, 2020). Involvement of disparate activities like harvesting, production, processing, and distribution, make value chains increasingly complex and dynamic thereby decreasing chains' transparency (Sener et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A framework to assess the challenges to food safety initiatives in an emerging economy

Mangla

Bhattacharya

Yadav

et al. 2021

Journal of Cleaner Production

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…Some literature is conducted to reveal the priority of DM on the condition that proper algorithms are used to deal with the logistics problems [34,35], while other scholars and institutions have applied the relevant data mining methods to the field of logistics, [36][37][38][39]. Most of the studies, however, concentrate on the area of monolithic supply chain management, not specific enough, and the analyses of the S&D issue are always fragmented since the demand can be commonly postulated through the regression and prediction DM algorithm while the supply is hard to define and measure.…”

Section: Data Mining Algorithmmentioning

confidence: 99%

Integrated Data Mining and TOPSIS Entropy Weight Method to Evaluate Logistics Supply and Demand Efficiency of a 3PL Company

Yan

Gong

et al. 2020

Mathematical Problems in Engineering

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In the past decades, despite considerable attention having been paid to third-party logistics (3PL) owing to its specialized service, sophisticated operation, and reduced cost, research on quantitative methods for estimating the efficiency of 3PL companies is still lacking, especially for those with small or medium scale. Therefore, the purpose of this study was to establish a quantitative evaluation method to measure the efficiency of the individual nongovernmental 3PL firms and explore the valuable information for the management of 3PL business with Apriori and K-means. Taking TopChains (an emerging nongovernmental 3PL company) as an example, the monthly supply and demand (S&D) level and matching degree were evaluated via the integrating data mining algorithm (i.e., Apriori and K-means) and TOPSIS entropy weight method based on historical data. The findings demonstrate that the S&D level varied with time and space, and the customer demand in February tended to reduce substantially. Besides, the outcome of S&D matching degree in June is undesirable, indicating the unsatisfactory efficiency in resource management. The evaluation maneuver stated in this study can serve as a valuable tool to measure individual nongovernmental 3PL enterprises’ efficiency in terms of S&D, and for reference, the results can aid in rational enterprise investment plan. Besides, this attempt broadened the direction of ARM and K-means being applied in the logistics field.

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The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach

Cited by 33 publications

References 117 publications

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

A framework to assess the challenges to food safety initiatives in an emerging economy

Integrated Data Mining and TOPSIS Entropy Weight Method to Evaluate Logistics Supply and Demand Efficiency of a 3PL Company

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