دانلود رایگان مقاله انگلیسی تحلیل داده های بزرگ و کاربردی برای مدیریت لجستیک و زنجیره تامین - الزویر 2018

ABSTRACT

This special issue explores big data analytics and applications for logistics and supply chain management by examining novel methods, practices, and opportunities. The articles present and analyse a variety of opportunities to improve big data analytics and applications for logistics and supply chain management, such as those through exploring technology-driven tracking strategies, financial performance relations with data driven supply chains, and implementation issues and supply chain capability maturity with big data. This editorial note summarizes the discussions on the big data attributes, on effective practices for implementation, and on evaluation and implementation methods.

Application of big data analytics in supply chain management and logistics

This special issue is focused on publishing original research studies advancing conceptual understanding or application of innovative big data analytics to facilitate improvements in logistics and supply chains. Following a rigorous review process, we have selected five research papers to be included into this special issue. The following text introduces these papers. Basole and Nowak (2017) studied the deployment of tracking technologies into the supply chain. They developed an understanding, based upon institutional theory and transactional costs, for the factors affecting tracking technology assimilation. They have tested their model on a dataset comprising of 535 supply chain executives and decision makers. Based on their analysis it was prescribed that three contexts (product, supply network, and environment) have significant influence on each of the three phases of assimilation (initiation, adoption, and routinization). The results of this study could inform decision makers involved in deploying tracking technologies in a supply chain. Yu et al. (2017) explored the effect of data-driven supply chain capabilities on financial performance for a Chinese manufacturing company. A structural equation modelling based data analysis method was proposed in this study. The results of this study indicate that coordination among supply chain partners and the responsiveness of the supply chain in terms of quickly responding to the shifts in market demand are positively associated with the better financial performance of an organisation. Choi (2017) evaluated fashion’s quick response program with the help of social media observations, demand forecasts updates, and a retailer with bounded rationality. With the help of analytical modelling, it was found that the likelihood of having good product reviews in social media affects the value of quick response. Further, the impact of such likelihood is mediated by the fashion retailer’s prior attitude towards the market demand.