The Potential of Social Media in Emerging Supply Chain Management

The Potential of Social Media in Emerging Supply Chain Management

Nermine M. Khalifa, Mona M. Abd Elghany, Marwa M. Abd Elghany
DOI: 10.4018/IJSSMET.2021070103
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This paper discusses the potential role of social media in managing supply chain activities for business in the developing countries and how to face unexpected challenges in these countries. Since there a limited research in the field of use social media in the supply chain, proposing the use of such platforms for third-world business might enable these enterprises to survive globally. Exploratory case studies performed by authors to drill down and figure out the issues faced by their business and how these businesses are trying to survive. Case studies are used to learn more about studied issues and unfold the hidden one. The study proposes a model of how the socialized platforms could give more visibility and knowledge discovery tool along supply chain channel. The model is extended that incorporates supply chain challenges in developing countries and the significant role of social media in proposing solutions. The proposed model will merge to business operating in developing countries context. Since the adoption of ERP systems was not enough to optimize business performance there, the proposed value of using social media as the most affordable platform will enable transparent supply chain activities along the integrated pipeline. The study provides the interrelated perspective of supply chain challenges and proposed solutions to overcome such issues. Many perceived values had been acknowledged of business such as more transparency with customers, prompt shipment notification or inventory drop, minimize supply chain risks and manage unfrozen external factors, working closely with multi-tier partners, optimize data exchange on day-to-day transactions. Social media could alert supply chain partners with potential risks. Prediction markets are proposed to adapt for better management.
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2. Literature Review

Information and communication technologies (ICTs) are undoubtedly useful for businesses. However, testing new ICTs is not always cost effective (Badsi et al., 2017). The massive amount of data now available raises the question of how companies can make efficient use of what lies behind their business processes. Interactions between IT and business structures within the organization would appear to be necessary. Big Data and Analytics have become key concepts within the corporate world, both commercially and from an information technology (IT) perspective. The intersection of business and technology is very important (Krimpmann and Stühmeier, 2017).

Supply chain integration has become a major challenge for companies in the current context. Information sharing and collaboration improve supply chain flexibility, tractability, and efficiency. Several studies have demonstrated that the positive and the significant relationship between supply chain integration and firm performance. Other studies have focused on the factors that affect this relationship (Mohamed and Hassan, 2019). In the face of today’s highly competitive and global markets, manufacturing enterprises no longer operate as independent entities, but rather as multi-site supply chain (Felfel, Ayadi, and Masmoudi, 2017).

In light of digital transformation, many firms try to increase the agility of their innovation processes. In this regard, they particularly rely on design thinking or on the lean startup approach to reduce some of the deficits of established innovation processes (Lichtenthaler, 2020). Implementation of Enterprise Resource Planning systems (ERPs) is a complex and costly process that is usually accompanied with serious risks. Numerous research projects have been conducted to illuminate ERP Critical Success Factors (CSFs) so as to identify the main factors in enhancing success rate. Project managers’ skills of ERP system implementation projects are viewed as one of the most effective factors in the success of such projects (Amalnik and Ravasan, 2018).

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