Digital Supply Chain Management and Performance in Chinese Companies: The Role of Artificial Intelligence Big Data Usage

An efficient supply chain management helps to increase the productivity of a business. Use of information technology and concepts like artificial intelligence, blockchain, and cloud computing have integrated the different aspects of supply chain with its stakeholders. Published literature in the field of SCM, IT, and the pharmaceutical industry has been reviewed, and different aspects of innovation, technique, risks, advancements, factors, and models have been taken into consideration to form a comprehensive chapter focusing on the role of information technology in the supply chain management of the pharmaceutical industry. The chapter finds that IT has made a significant impact in improving the efficiency of SCM. But its successful implementation and collaboration with other firms is the key to success for an efficient SCM. Within each category, gaps have been identified.

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The Role of Big Data and Twitter Data Analytics in Healthcare Supply Chain Management

Smart Infrastructure and Applications - EAI/Springer Innovations in Communication and Computing ◽

10.1007/978-3-030-13705-2_11 ◽

2019 ◽

pp. 267-279 ◽

Cited By ~ 1

Author(s):

Shoayee Alotaibi ◽

Rashid Mehmood ◽

Iyad Katib

Keyword(s):

Big Data ◽

Supply Chain ◽

Supply Chain Management ◽

Data Analytics ◽

Chain Management ◽

Twitter Data

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Supply Chain Management and Logistics Big Data Challenges in Bulgaria

LOGI – Scientific Journal on Transport and Logistics ◽

10.2478/logi-2021-0016 ◽

2021 ◽

Vol 12 (1) ◽

pp. 171-181

Author(s):

Nikolay Dragomirov ◽

Luben Boyanov

Keyword(s):

Big Data ◽

Supply Chain ◽

Supply Chain Management ◽

Inventory Management ◽

Chain Management ◽

Order Processing ◽

Communication Processes ◽

Reporting Systems ◽

Transformation Processes

Abstract The article focuses on the challenges of applying big data approaches to logistics and supply chain management in Bulgaria, while also presenting the challenges, opportunities and problems from a broader perspective. This includes a review of big data in logistics and its subsystems in relation to integration and transformation processes, as well as the role of big data and the relevant technologies in supply chain management. The research framework for the study of Bulgarian companies focuses on their experiences, both positive and negative, with big data. Data was collected using an electronic questionnaire. The respondents were from small, medium-sized and large companies alike. The results demonstrate and explain the companies’ experiences with big data and the level of application thereof. The findings showed that the main areas for the use of big data are order processing, communication processes, reporting systems, inventory management and vehicle database management.

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Role of Big Data Analytics in supply chain management: current trends and future perspectives

International Journal of Production Research ◽

10.1080/00207543.2020.1793011 ◽

2020 ◽

pp. 1-26 ◽

Cited By ~ 1

Author(s):

Sumit Maheshwari ◽

Prerna Gautam ◽

Chandra K. Jaggi

Keyword(s):

Big Data ◽

Supply Chain ◽

Supply Chain Management ◽

Data Analytics ◽

Big Data Analytics ◽

Future Perspectives ◽

Chain Management ◽

Current Trends

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INTENTION TO ADOPT BIG DATA IN SUPPLY CHAIN MANAGEMENT: A BRAZILIAN PERSPECTIVE

Revista de Administração de Empresas ◽

10.1590/s0034-759020190605 ◽

2019 ◽

Vol 59 (6) ◽

pp. 389-401 ◽

Cited By ~ 2

Author(s):

MACIEL M QUEIROZ ◽

SUSANA CARLA FARIAS PEREIRA

Keyword(s):

Big Data ◽

Supply Chain ◽

Supply Chain Management ◽

Business Models ◽

Chain Management ◽

Intention To Adopt ◽

Use Of Technology ◽

Big Data Applications ◽

And Performance ◽

Facilitating Conditions

ABSTRACT Big data applications have been remodeling several business models and provoking strong radical transformations in supply chain management (SCM). Supported by the literature on big data, supply chain management, and the unified theory of acceptance and use of technology (UTAUT), this study aims to evaluate the variables that influence the intention of Brazilian SCM professionals to adopt big data. To this end, we adapted and validated a previously developed UTAUT model. A survey of 152 supply chain respondents revealed that facilitating conditions (e.g., IT infrastructure) have a high influence on their intention to adopt big data. However, social influence and performance expectancy showed no significant effect. This study contributes to the practical field, offering valuable insights for decision-makers considering big data projects. It also contributes to the literature by helping minimize the research gap in big data in the Brazilian context.

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Investigating the Role of Open Costing in the Buyer-Supplier Relationship: Implications for Global Apparel Supply Chain Management

Clothing and Textiles Research Journal ◽

10.1177/0887302x21993501 ◽

2021 ◽

pp. 0887302X2199350

Author(s):

Huicheng Wu ◽

Jin Su ◽

Nancy Hodges

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Relationship Quality ◽

Mutual Trust ◽

Chain Management ◽

Fixed Price ◽

And Performance ◽

Shed Light ◽

Supplier Relationship

Research in supply chain management focused on the buyer-supplier relationship (BSR) indicates that costing practices can impact relationship quality and performance. Yet, few studies have examined how the supplier’s costing methods affect the BSR. To address this gap, this study investigates the role of open costing in the BSR within the apparel supply chain. Open costing is a popular costing practice in which a supplier compiles an itemized list of costs rather than a fixed price. To examine the extent to which open costing is practiced as part of BSRs, interviews were conducted with 30 professionals operating as suppliers in China and Bangladesh. A thematic analysis of the interview data identified several factors important to open costing and the BSR, including Mutual Trust, Fairness, Flexibility, Efficiency, and Sustainability. Findings shed light on the mechanism and practice of open costing within the BSR, and specifically from the perspective of suppliers.

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