scholarly journals Artificial Intelligence, Social Media and Supply Chain Management: The Way Forward

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2348
Author(s):  
Apalak Khatua ◽  
Aparup Khatua ◽  
Xu Chi ◽  
Erik Cambria

Supply chain management (SCM) is a complex network of multiple entities ranging from business partners to end consumers. These stakeholders frequently use social media platforms, such as Twitter and Facebook, to voice their opinions and concerns. AI-based applications, such as sentiment analysis, allow us to extract relevant information from these deliberations. We argue that the context-specific application of AI, compared to generic approaches, is more efficient in retrieving meaningful insights from social media data for SCM. We present a conceptual overview of prevalent techniques and available resources for information extraction. Subsequently, we have identified specific areas of SCM where context-aware sentiment analysis can enhance the overall efficiency.

2020 ◽  
pp. 226-249
Author(s):  
Shweta Singh

The purpose of this research paper is to find how the factors like the social media platforms, and the supply chain management are actually responsible towards the growth of the clothing brand Zara. The brand follows the strategy of minimal advertisement, where they are able to maintain their position in the market. Zara is found to use marketing of its products mainly through its influencers, social media platforms, its supply chain management, and timely availability of the products in such changing trends. Still, it has a fierce competition today with many other clothing brands, therefore they may need to engage in more direct advertisement, and promotion. The research covers different factors within the social media platforms as well. The findings revealed more in-depth knowledge and understanding of the selected factors of Zara’s growth with both primary and secondary research done, and what their customers want their brand to improve in the areas to have a consistent leading position in the fashion retail market and will reveal how these factors are more effective for Zara’s growth from various perspectives.


2011 ◽  
pp. 887-907
Author(s):  
Golenur Begum Huq ◽  
Robyn Lawson

This chapter explores the utilization of a multiagent system in the field of supply chain management for electronic business. It investigates the coordination and cooperation processes, and proposes and discusses a newly developed model for an enhanced and effective cooperation process for e-business. The contribution made by this research provides a theoretical solution and model for agents that adopt the enhanced strategy for e-business. Both large organizations and SMEs will benefit by increasing and expanding their businesses globally, and by participating and sharing with business partners to achieve common goals. As a consequence, the organizations involved will each earn more profit.


Author(s):  
Seng Kwong Gwee ◽  
Albert Wee Kwan Tan

This chapter provides an overview on the use of business-to-business (B2B) eCommerce by Singapore companies as a means of streamlining their procurement and transportation activities. Specifically, it addresses how Electronic Data Interchange (EDI) and Internet have proliferated in Singapore from 1990 to the present, and the efforts needed to sustain its growth. Challenges in implementing B2B eCommerce in procurement and transportation are also discussed, so that companies can avoid similar pitfalls when planning to implement these technologies with their business partners.


2015 ◽  
Vol 7 (4) ◽  
pp. 64-73
Author(s):  
Hermann Gruenwald

Logistics has evolved over the past few decades from transportation and warehousing to global Supply Chain Management (SCM). This requires the coordination of the flow of material, money and information. The velocity of doing business has increased and manual operations have been automated. Modern Logistic Information Systems (LIS) with all its logistics related sub systems are replacing muscle power with brain power and pencil and paper with smart phones and social media. The virtual aspect of logistics has become equally important to the physical realm of transportation and warehousing. Supply Chain Management (SCM) deals with getting the right stuff to the right people at the right time in the right amount. To accomplish this task there are a number of more or less integrated logistics software application. Demand forecasting models based on historical data from data marts and data warehouses with built in seasonality and pricing models. Load planning software to appropriately palletize, containerize and load trucks, trains and vessels. Route planning software with real time traffic and weather updates combined with Global Positioning Systems (GPS) to reduce transportation time and fuel costs. Warehouse Management Systems (WMS) to receive, put-away, store, receive and marshal the shipment. Electronic documents accompany the shipment from purchase order, letter of credit to customs clearing and back-haul charges. While these applications in the past have been mostly desktop applications used in the office at the management level, the move is to mobile applications. The footprint of LIS is getting smaller and is moving from the desktop to the Smartphone. At the core of any logistic information systems (LIS) is electronic communication. With the advent of the internet and social media personal communication has taken on other forms. With smart phones and tablets like the I-Phone and I-Pad e-commerce advanced to m-commerce. While technology enables the global supply chain, how do future logistics professionals feel about applying this cutting edge communication technology in their personal and professional lives? This quantitative study compares the aptitude of Thai logistics management students towards the use of social media and modern mobile telecommunication technology in their personal lives and in the context of professional use in connection with logistics information systems (LIS).


Author(s):  
Golenur Begum Huq ◽  
Robyn Lawson

This chapter explores the utilisation of a multi-agent system in the field of supply chain management for electronic business. It investigates the coordination and cooperation processes, and proposes and discusses a newly developed model for an enhanced and effective cooperation process for e-business. The contribution made by this research provides a theoretical solution and model for agents that adopt the enhanced strategy for e-business. Both large organizations and SMEs will benefit by increasing and expanding their businesses globally, and by participating and sharing with business partners to achieve common goals. As a consequence, the organizations involved will each earn more profit.


Author(s):  
Kijpokin Kasemsap

This chapter indicates the perspectives on retailing and Supply Chain Management (SCM); trends and issues with fast fashion industry; the overview of Fashion Supply Chain Management (FSCM); fashion retail supply chains and fashion sales forecasting; fashion retail supply chains and sustainability; the overview of New Product Development (NPD); NPD process, social media, and digital environments; NPD, ecological marketing, and Life Cycle Assessment (LCA); NPD performance and supplier-buyer relationship; and the importance of NPD collaboration. In addition to the traditional functions of logistics management in fashion companies, which include inventory management and transportation management, FSCM places a strong emphasis on both collaboration and partnership among various channel members along with the fashion retail supply chains. With the advance of the Internet and social media, NPD strategy provides a beneficial framework for creating the new products and improving the product performance, product cost, and quality of the existing products.


2013 ◽  
Vol 7 (1) ◽  
pp. 128-135 ◽  
Author(s):  
Yoshitaka Tanimizu ◽  
◽  
Chisato Ozawa ◽  
Yusuke Shimizu ◽  
Buntaro Orita ◽  
...  

Supply chain management has been investigated for the configuring and controlling of material and information flows among different organizations. The trend has been toward even more flexible or dynamic supply chains to find suitable business partners and enter into profitable contracts. Previous studies have proposed a two-layered supply chain model consisting of two kinds of organization: clients and suppliers. This study proposes a new model representing multi-layered dynamic supply chains and a negotiation protocol in multi-layered organizations. The organizations in the middle-layers generate both orders of parts for suppliers and offers of products for clients. Production schedules in the middle-layers continue to be modified after orders are sent to suppliers. Suppliers simultaneously generate and modify sets of production schedules for individual orders to find the most profitable order of all. The effectiveness of the model and the negotiation protocol is evaluated through computational experiments.


Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 56
Author(s):  
Horst Treiblmaier ◽  
Patrick Mair

Background: Researchers in logistics and supply chain management apply a multitude of methods. So far, however, the potential of textual data science has not been fully exploited to automatically analyze large chunks of textual data and to extract relevant insights. Methods: In this paper, we use data from 19 qualitative interviews with supply chain experts and illustrate how the following methods can be applied: (1) word clouds, (2) sentiment analysis, (3) topic models, (4) correspondence analysis, and (5) multidimensional scaling. Results: Word clouds show the most frequent words in a body of text. Sentiment analysis can be used to calculate polarity scores based on the sentiments that the respondents had in their interviews. Topic models cluster the texts based on dominating topics. Correspondence analysis shows the associations between the words being used and the respective managers. Multidimensional scaling allows researchers to visualize the similarities between the interviews and yields clusters of managers, which can also be used to highlight differences between companies. Conclusions: Textual data science can be applied to mine qualitative data and to extract novel knowledge. This can yield interesting insights that can supplement existing research approaches in logistics and supply chain research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maryam philsoophian ◽  
Peyman Akhavan ◽  
Morteza Namvar

PurposeSharing knowledge with business partners is a challenging issue as firms need to share their valuable know-how assets with individuals or other companies out of their organizational boundaries. As supply chain management (SCM) deals with various stakeholders, firms face difficulties with privacy and ownership when they share their know-how with suppliers or business partners. This study introduces blockchain technology as a mediator in improving knowledge sharing (KS) practices in supply chains.Design/methodology/approachThe data have been collected from surveys with 116 experts working in blockchain start-ups and organizations, and the authors used structural equation modeling for its analysis.FindingsThe results show that two features of blockchain technology, namely transparency and security, have the highest impacts on mediating knowledge sharing impacts on supply chain performance. The authors’ findings also highlight that among the performance metrics of SCM, speed is highly improved when blockchain technology is used for knowledge sharing. Their study provides guidance for managers on how to improve SCM performance through KS, which is empowered by a blockchain system.Originality/valueThe authors’ findings help organizations to improve supply chain actions, improve innovation, enhance competitive advantage and increase the speed of relationships in the supply chain. The research also contributes literature by analyzing the key factors showing how knowledge sharing structure may be improved by blockchain technology which would be helpful for both academics and practitioners.


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