Internet of Things (IoT) in Agriculture Supply Chain Management: A Developing Country Perspective

PurposeThe purpose of this paper is to draw upon the resource-based view (RBV) of the firm in an attempt to explore how a firm’s resources (i.e. assets and capabilities) such as social capital (SC) and strategic entrepreneurship (SE) relate to sustainable supply chain management (SSCM) and organizational performance (OP).Design/methodology/approachData were collected by questionnaire survey from the supply chain and logistics managers of 242 manufacturing firms in Pakistan. The structural equation modeling approach was used to test the hypotheses.FindingsThe results provide support for the proposed hypotheses. The results indicate that SC and SE are positively related to OP. However, the findings show a positive but weak association of SC and SE with SSCM. In a developing country context of Pakistan, organizations are more likely to employ SC and SE for achieving OP. However, relatively less emphasis is placed on linking SC and SE to SSCM. Pakistani organizations need to integrate SSCM into their business strategies. It is concluded that organizations in Pakistan though have some degree of involvement in SSCM but still face some challenges.Originality/valueThe current study attempts to narrow the gap in the available literature in three important aspects. First, it makes the contribution to the literature on SSCM by employing RBV and exploring the relationships of a firm’s resources (i.e. SC) and capabilities (i.e. SE) to SSCM and OP. Second, it employs a relatively more comprehensive measure of SE compared to the limited measures in existing empirical research. Third, the examination of the links of SE and SC to SSCM and OP is of particular importance in the context of a developing country such as Pakistan.

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An end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0

Computers in Industry ◽

10.1016/j.compind.2019.103127 ◽

2019 ◽

Vol 112 ◽

pp. 103127 ◽

Cited By ~ 12

Author(s):

Celia Garrido-Hidalgo ◽

Teresa Olivares ◽

F. Javier Ramirez ◽

Luis Roda-Sanchez

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Internet Of Things ◽

Industry 4.0 ◽

Reverse Supply Chain ◽

Chain Management ◽

End To End

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Internet of Things (IoT) in Pharmaceutical Manufacturing, Warehousing, and Supply Chain Management

SN Computer Science ◽

10.1007/s42979-020-00248-2 ◽

2020 ◽

Vol 1 (4) ◽

Author(s):

Apoorva Sharma ◽

Jaswinder Kaur ◽

Inderbir Singh

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Internet Of Things ◽

Pharmaceutical Manufacturing ◽

Chain Management

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Semantic Approach to Data Integration for an Internet of Things Supporting Apparel Supply Chain Management

Procedia Computer Science ◽

10.1016/j.procs.2020.07.030 ◽

2020 ◽

Vol 175 ◽

pp. 197-204

Author(s):

Kamalendu Pal ◽

Ansar-Ul-Haque Yasar

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Internet Of Things ◽

Data Integration ◽

Semantic Approach ◽

Chain Management

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A Study of Inventory Management in Supply Chain under the Environment of Internet of Things

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.6673 ◽

2014 ◽

Vol 556-562 ◽

pp. 6673-6676 ◽

Cited By ~ 1

Author(s):

Jia Tang

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Internet Of Things ◽

Inventory Management ◽

Forecast Accuracy ◽

Market Demand ◽

Inventory Models ◽

Demand Forecast ◽

Chain Management ◽

The 1960S

Since the 1960s, the competition between enterprises has been replaced by the competition between supply chains because of rapid economic development. For the purpose of enhancing the competitiveness of supply chain by improving the level of supply chain management, the resources of enterprises in supply chain should be integrated and optimized, and then managed uniformly. Inventory management is the most important part of supply chain management. The inventory models what we are using have many limitations. The effectiveness of implementation often depends on the accuracy of the accuracy of “market demand forecast”. In order to reduce the reliance on “market demand forecast” accuracy to improve the efficiency of supply chain inventory management, we need to have further research on this theory by used of Internet of things to explore right model.

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Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

Mathematical Problems in Engineering ◽

10.1155/2021/6670718 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Fuan Zhang ◽

Zhenzhi Gong

Keyword(s):

Cloud Computing ◽

Supply Chain ◽

Supply Chain Management ◽

Internet Of Things ◽

Information Sharing ◽

Bullwhip Effect ◽

Collaborative Management ◽

Computing Technology ◽

Chain Management ◽

Information Sharing Mechanism

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

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