Drivers of Corporate Sustainable Performance across the Flight Catering Supply Chain
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- Journal of Distribution Science
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- v.22 no.5
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- pp.105-115
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- 2024
Purpose: The purpose of the current study is to highlight the drivers of corporate environmentally and socially sustainable performance among different players including airlines, caterers, suppliers and logistics companies in the flight catering supply chain. Research design, data and methodology: Based on a qualitative research approach this study employed in-depth semi-structured interviews exploring the drivers of corporate sustainable performance with management from major in-flight catering stakeholders (n=23) from the perspective of constructivism. Using the snowball sampling approach, interviewees were carefully chosen to represent a diverse range of supply chain contexts (airlines, catering, non-food suppliers, and logistics companies). Results: By focusing on the complex context of multiple supply chain partners, the study identified a range of complex relationships between the drivers of sustainable performance in the supply chain: firm-led drivers, factors influencing firm-led drivers, partial influencers, and additional factor, cost. Conclusions: This study emphasizes that some drivers do not play an absolute role and has highlighted that there is a need for companies to change the attitude, that is to pay more than 'lip service' to improving sustainable performance. This study develops a theoretical framework of the drivers of corporate sustainable performance, along with its practical industry implications.
Purpose - Despite the importance of price, many companies do not implement pricing policies smoothly, because typical price management strategies insufficiently consider logistics efficiency and an increase in logistics costs due to logistics waste. This study attempts to examine the effect of product line pricing, which corresponds to product mix pricing, on logistics efficiency in the case of manufacturer A, and analyzes how logistics performance changes in response to these variables. Research design, data, and methodology - This study, based on the case of manufacturer A, involved research through understanding the current status, analyses, and then proposing improvement measures. Among all the products of manufacturer A, product group B was selected as the research object, and its distribution channel and line pricing were examined. As a result of simulation, for products with low loading efficiency, improvement measures such as changing the number of bags in the box were suggested, and a quantitative analysis was conducted on how these measures influence logistics costs. The TOPS program was used for the Pallet loading efficiency simulation tool in this study. To prevent products from protruding out of the pallet, the maximum measurement was set as 0.0mm, and loading efficiency was based on the pallet area, and not volume. In other words, its size (length x width) was focused upon, following the purpose of this study and, then, the results were obtained. Results - As a result of the loading efficiency simulation, when the number of bags in the box was changed for 36 products with low average loading efficiency of 73.7%, as shown in