scholarly journals Research on Collaborative Innovation Strategy of Smart Supply Chain in the Big Data Era

2021 ◽  
Vol 235 ◽  
pp. 03073
Author(s):  
Wang He ◽  
Huang Xiang
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
New Technologies ◽  
Action Plan ◽  
Development Trend ◽  
Innovation Strategy ◽  
Logistics Industry ◽  
Basic Industry ◽  
Collaborative Innovation ◽  
Made In China

With the continuous emergence of new technologies such as Artificial intelligence, big data, Cloud computing and IOT, technology accelerates integration and innovation, and data dividends have continued to emerge. At the same time, China’s “Internet Action Plan”, “Made in China 2025”, “Digital China” and other national strategies have been implemented in depth, China’s social and economic development has entered the era of big data. As the basic industry of the national economy. The logistics industry will also accelerate changes, and it has become a development trend for companies to use new technologies to realize smart supply chain collaborative innovation. The paper analyzes the development opportunities of smart supply chain in the Big Data Era, summarizes the problems encountered in the application of big data in the smart supply chain at this stage, and finally puts forward the collaborative innovation strategy for smart supply chain in the Big Data Era, Providing reference for collaborative innovation development of enterprise supply chain.

scholarly journals Big data, information asymmetry, and food supply chain management for resilience

2021 ◽  
pp. 1-12
Author(s):  
Michelle Miller
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Food Supply ◽  
Food Systems ◽  
New Technologies ◽  
Food System ◽  
Market Access ◽  
Chain Management

The Biden Administration is reviewing supply chains as part of its response to recent supply chain failures during COVID-19, and anticipated disrup­tions associated with climate change. This policy analysis discusses supply chain management, that is, the monitoring and continual improvement of materials flow and information flow to better manage risk. We are in an era of proprietary big data and digitized applications to make sense of it. Healthy food systems require policy to address unequal access to food systems data and informa­tion that occurs between businesses as well as between private businesses and government. Managing risk to a nation’s overall food system is an important government function that includes setting fair market rules and ensuring open infor­mation exchange in food supply chains. In this way, our government ensures equitable food and market access as new technologies and disruptions arise. This paper reviews these concepts consider­ing current policy actions of the Biden Administration.

scholarly journals Construction of a Supply Chain Financial Logistics Supervision System Based on Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhaoyang Wu ◽  
Shiyong Wang ◽  
Hong Yang ◽  
Xiaokui Zhao
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Global Economy ◽  
Rapid Development ◽  
Development Trend ◽  
Research Experience ◽  
Logistics Industry ◽  
Supervision System ◽  
Group Hunting ◽  
Internet Of Things Technology

In recent years, with the rapid development of the global economy and the development trend of more and more stable, well-developed network communications, online shopping has become an increasingly common way; as a result, the logistics industry has emerged from many industries and has become one of the most popular industries. However, due to the extensive involvement of the logistics industry, the overly complex technology, and the huge amount of data and information, the security of logistics has become one of the hot topics of special concern. Based on the background of an intelligent environment, this paper constructs a supply chain financial logistics supervision system based on Internet of Things technology. This article refers to the research experience of previous scholars, briefly introduces the theoretical knowledge of the Internet of Things technology, smart environment, and supply chain finance, and makes a certain analysis of the logistics supervision system. We collect and calculate logistics data through the wolf group hunting and siege formula in the wolf group algorithm and analyze the application performance of the logistics supervision system in reality. Then, we briefly designed the system architecture diagram of the logistics supervision system and compared the freight situation of the logistics supervision system before and after and statistics on the deployment of the logistics supervision system in customs, docks, airports, stations, and other places from 2015 to 2019. Finally, a comparative analysis of the performance of wolf pack algorithm and other algorithms was performed under different path planning. The final result shows that the logistics supervision system has important practical value in the logistics industry; in addition, the deployment of logistics supervision systems in customs, terminals, and other places has increased year by year from 2015 to 2019.

Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prakash Agrawal ◽  
Rakesh Narain
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
New Technologies ◽  
Technology Development ◽  
Matrix Multiplication ◽  
Big Data Analytics ◽  
Structural Modelling ◽  
Content Type ◽  
Interpretive Structural Modelling

PurposeOver the years, technology development has rationalized supply chain processes. The demand economy is disrupting every sector causing the supply chain to be more innovative than ever before. The digitalization of the supply chain fulfils this demand. Several technologies such as blockchain, big data analytics, 3D printing, Internet of things (IoT), artificial intelligence (AI), augmented reality (AR), etc. have been innovated in recent years, which expedite the digitalization of the supply chain. The paper aims to analyse the applicability of these technological enablers in the digital transformation of the supply chain and to present an interpretive structural modelling (ISM) model, which presents a sequence in which enablers can be implemented in a sequential manner.Design/methodology/approachThis paper employed the ISM approach to propose a various levelled model for the enablers of the digital supply chain. The enablers are also classified graphically based on their driving and dependence powers using matrix multiplication cross-impact applied to classification (MICMAC) analysis.FindingsThe study indicates that the enablers “big data analytics”, “IoT”, “blockchain” and “AI” are the most powerful enablers for the digitalization of the supply chain and actualizing these enablers should be a topmost concern for organizations, which want to exploit new opportunities created by these technologies.Practical implicationsThis study presents a systematic approach to adopt new technologies for performing various supply chain activities and assists the policymakers better organize their assets and execution endeavours towards digitalization of the supply chain.Originality/valueThis is one of the initial research studies, which has analysed the enablers for the digitalization supply chain using the ISM approach.

scholarly journals Research on Optimization of E-commerce Supply Chain Management Process Based on Internet of Things Technology

2021 ◽  
Vol 2074 (1) ◽  
pp. 012070
Author(s):  
Bingkai Huang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Capital Investment ◽  
Development Trend ◽  
Modern Logistics ◽  
Logistics Industry ◽  
Chain Management ◽  
Global Logistics ◽  
Internet Of Things Technology

Abstract With the development of information network technology, online shopping has become more and more accepted and chosen by people, the demand for logistics and express delivery industry is also increasing. In today’s e-commerce era, the global logistics industry has a new development trend, called modern logistics. In modern logistics, the requirements for the important link of warehouse logistics and distribution are also increasing. The goal of supply chain management is to achieve maximum operational efficiency while minimizing capital investment, which is of great significance for e-logistics distribution. Based on this, this paper explores the application of Internet of Things technology in the supply chain management of e-logistics.

scholarly journals Big Data Concept in the Food Supply Chain: Small Markets Case

2016 ◽  
Vol 63 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Valentinas Navickas ◽  
Valentas Gružauskas
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analysis ◽  
Food Supply ◽  
Food Industry ◽  
New Technologies ◽  
Cost Minimization ◽  
Developed Countries ◽  
Food Supply Chain ◽  
The World

The strategies of competitive advantage are changing dramatically because of high technology development. The data size in the world is multiplying rapidly - the amount of information in the world doubles every 12 months. Therefore, the authors analyzed Big data in the food supply chain. The methodology used in the paper consists of a review of global competitiveness reports and secondary data analysis together with document-based literature synthesis; a competitiveness maximization methodology was modelled referring to a case of small markets. The supply of food industry is complicated, because of various regulations and a demand for high quality products just on time. Various companies are transporting partial freight; therefore, the visibility, lead-time and cost minimization is essential for them. However, they are unable to use all the gathered information and are not utilizing the potential that is possible. The problem of data analysis is a bigger concern to the smaller markets. Many of the small markets are less developed countries that still are not using Big data in their enterprises. In addition, new technologies are developing in the Big data industry. Therefore, the gap of technology will increase even more between large and small markets. The analysed innovation level and technology usage indicated a need for the food industry to change competitiveness strategies. Therefore, the authors developed a competitiveness strategy that is orientated to the food industry of small markets.

scholarly journals The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi
Keyword(s):  
Saudi Arabia ◽  
Big Data ◽  
Inventory Management ◽  
New Technologies ◽  
Predictive Analytics ◽  
Business Environment ◽  
Primary Data ◽  
Research Approach ◽  
Multiple Sources ◽  
The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

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