The Use of Social Media in the Supply Chain: Survey and Extensions

O’Leary, Daniel E.

doi:10.1002/isaf.327

Cited by 96 publications

(56 citation statements)

References 24 publications

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“…These disruptions must be monitored in real time and should be broadcast to supply chain partners. This process ensures both detection of supply chain risk and disruption recovery [27,28].Although scholars recognize the importance of using big data to enhance sustainability [29-31], practitioners have had some problems when integrating big data for sustainability, especially in mitigating social risk in supply chain decisions [25,30,32]. Additionally, research investigating the link between big data analytics (BDA) and sustainability in the supply chain is urgently needed.…”

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confidence: 99%

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Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain

et al. 2017

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The use of big data analytics for forecasting business trends is gaining momentum among professionals. At the same time, supply chain risk management is important for practitioners to consider because it outlines ways through which firms can allay internal and external threats. Predicting and addressing the risks that social issues cause in the supply chain is of paramount importance to the sustainable enterprise. The aim of this research is to explore the application of big data analytics in mitigating supply chain social risk and to demonstrate how such mitigation can help in achieving environmental, economic, and social sustainability. The method involves an expert panel and survey identifying and validating social issues in the supply chain. A case study was used to illustrate the application of big data analytics in identifying and mitigating social issues in the supply chain. Our results show that companies can predict various social problems including workforce safety, fuel consumptions monitoring, workforce health, security, physical condition of vehicles, unethical behavior, theft, speeding and traffic violations through big data analytics, thereby demonstrating how information management actions can mitigate social risks. This paper contributes to the literature by integrating big data analytics with sustainability to explain how to mitigate supply chain risk.In reviewing literature on big data analytics (BDA) and sustainability, Keeso [12] argues that the application of big data in sustainable operations is often slow to achieve desired outcomes. Although sustainable supply chain management has little history in academic literature, it has become a mainstream area for practitioners [13][14][15]. On the other hand, building on the knowledge-based perspective some suggest the need for BDA as a knowledge resource that can be harvested and retained. The knowledge-based view can be traced from Simon's [16] seminal work with significant extensions by Grant [17,18], Huber [19] and Levitt and March [20]. Further, the knowledge-based perspective suggests how big data can fuel the purposive search for market and resource innovation opportunities [21]; such resources can provide corporations a competitive advantage [22].While building knowledge-based resources, it is also imperative to predict and avoid risks causing potential disruptions [23]. Recently, supply chain risk management (SCRM) has become a priority because of its capability to avert potential disruption and recover more quickly from disruptions that cannot be averted [24]. There are various risks including material flow risk, information flow risk and financial flow risk that cause supply chain disruptions [25]. Among these risks, supply chain social issues can impose significant operational risks on the supply chain [26]. In the literature the linkage between supply chain social issues, and risk management has been established [26]. Further, Klassen and Vreecke [26] show that social issues can be managed through effective monitoring, innovation cap...

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Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain

et al. 2017

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“…The purpose of this section is to summarize some of the limited previous literature related to using social media to conduct supply chain transactions. Using Twitter messages, O'Leary () documented the apparent use of Twitter to communicate supply chain information, such as shipment of goods and the communication of pricing information for shipping purposes. In addition, Twitter was used to indicate the availability of open shipments and load information, using the notion of a ‘TweetLoad’ (e.g.…”

Section: Transaction Information Availability In Social Media (Twittementioning

confidence: 99%

“…Third, reportedly, supply chains have been exchanging transaction information using social media—for example, regarding logistics (e.g. O'Leary, )—resulting in information about the supply chain transactions being available to Twitter users. Each of these three developments works to change the information availability about sales, orders, and logistics transactions.…”

Section: Introductionmentioning

confidence: 99%

Open Information Enterprise Transactions: Business Intelligence and Wash and Spoof Transactions in Blockchain and Social Commerce

O’Leary

2018

Intell Sys Acc Fin Mgmt

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This paper investigates what are referred to as 'open information transactions' . Such transactions are in contrast to traditional transactions, where typically two parties to a transaction are the only ones with information about the transaction. For example, in a sale, the seller and the purchaser typically are the only ones with information about the transaction. However, some emerging technologies, such as blockchain accounting, supply chain social media, and hashtag commerce are making information about the transactions potentially openly available to others. This paper investigates some of the implications and strategies that include the use of that open information. For example, open information in accounting and supply chain transactions provides the potential for both business intelligence analysis of the information and possibly misleading and illusory transactions, analogous to those that have garnered the recent attention of the Justice Department in cryptocurrencies.Finally, this paper suggests that blockchain transaction processing will provide reliable information in those settings where there is a "single truth" feed of information flow for the phenomena of interest, no ability to do off-blockchain transactions (or a large penalty cost) and limitation to a single identity for each enterprise on the blockchain. KEYWORDS asymmetries of information, bitcoin, blockchain, blockchain electronic markets, dynamic pricing, fraud, hashtag commerce, information visibility, misleading trades, off-blockchain transactions, open information transactions, social commerce, spoof trades, wash trades 148

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“…This technology is known as More precisely, Proulx, Millette and Heaton (2012) defined social media as "media that allows users to maintain a presence, communicate and interact online." Social media has progressively allowed individuals to rely on the Internet to communicate, speak, read or comment (O'Leary, 2011). According to CREDOC (2009), 57% of French Internet users consult the opinions of other users before purchasing various products and services.…”

Section: Social Mediamentioning

confidence: 99%

A New Strategy for Customer Engagement: How Do French Firms Use Social CRM?

Dutot¹

2013

IBR

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A company is no longer only focused on winning market share or increasing demand, but also on customer relationships, engagement and retention. The idea of improving relationships with customers by using social media is called social customer relationship management (SCRM). The objective of this exploratory research is to define a grid of analysis of a SCRM strategy. To do so, a double analysis was conducted: a qualitative research on CAC 40 French firms and a quantitative survey on customer's perception of SCRM. Results show that most of the French top companies are not considering SCRM as much as customers (generation Y) want them to.

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The Use of Social Media in the Supply Chain: Survey and Extensions

Cited by 96 publications

References 24 publications

Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain

Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain

Open Information Enterprise Transactions: Business Intelligence and Wash and Spoof Transactions in Blockchain and Social Commerce

A New Strategy for Customer Engagement: How Do French Firms Use Social CRM?

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