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Toward Most Valuable City Logistics Initiatives: Crowd Logistics Solutions’ Assessment Model

100%
Cieplińska J., Szmelter-Jarosz A.
Central European Management Journal
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2020
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vol. 28(2)
38-56
EN
Introduction: Crowd logistics is a widely accepted concept in times of the growing popularity of sharing economy solutions. The popularity of e-commerce and a tendency to provide same-day delivery are the main reasons for their development. Developing those trends requires new products and services, now available on the market, known in the transport area as crowd logistics solutions. Purpose: The purpose of the paper is to provide a tool for assessing crowd-logistics solutions, taking into consideration customers’ requirements. The text includes groups of environmental, economic, and social criteria to facilitate the choice of the best crowd logistics solution for freight transport. Methodology: The research is based on the critical analysis of different sources (literature, European Commission reports, other reports and analyses) and practical solutions in the field of crowd logistics. The main data analysis method is the Analytic Hierarchy Process, usually used to evaluate variants in decision-making processes. This method was chosen because of the variety of data types (quantitative and qualitative) and formats, its popularity, universality, and replicability. Results: This paper contains ready-to-use weights for the assessment of crowd logistics solutions. The proposed set of criteria and weights can be a useful tool for customers to evaluate the sharing-economy services landscape in the areas they manage.
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Analysis of Security Criteria for IoT-Based Supply Chain: A Case Study of FMCG Industries

81%
Nozari H., Fallah M., Szmelter-Jarosz A., Krzemiński M.
Central European Management Journal
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2021
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vol. 29(4)
149-171
EN
Purpose: In supply chains, creating a secure space for data production, sending, storing, and analysis has always been a critical issue. The main goal of this research was to evaluate the importance of various security criteria in an intelligent supply chain system. Methodology: The main data collection method was the expert survey. Experts validated the security criteria and sub-criteria. Then, the importance of these criteria was evaluated using the fuzzy analytic hierarchy process method. Findings: The results revealed that reliability and privacy with their sub-criteria were the most important ones among the obtained security criteria for IoT-based supply chain management. Practical implications: The research results can provide valuable insight for supply chains’ decision-makers. The findings can also be a good reference point for researchers who work on the IoT-based supply chain concept in other countries and sectors. Research limitations: Limitations of this study are the purposive sampling method and the limited scope of studied companies and sectors. Therefore, the article provides initial insight on the matter. Originality: The study presents the research problem from a new perspective and gives possible solutions for IoT-based supply chain management.
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