Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research

Chalmeta, Ricardo; Santos-deLeón, Nestor J.

doi:10.3390/su12104108

Cited by 77 publications

(37 citation statements)

References 93 publications

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“…Industry 4.0 has been shown to have positive effects on supply chains and the logistics industry [1,2]. Logistics 4.0, embedded within the broader concept of Industry 4.0, is recognized as one of the fastest growing industrial sectors.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Mobile Applications Usability of Logistics in Life Startups

2020

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This paper considers the usability of mobile applications operating within a new logistics domain referred to as logistics in life (LIL). The LIL sector has primarily been capitalized on by logistics startups which develop mobile applications or “apps” to provide customized services that penetrate niche spaces outside the reach of traditional logistics firms. The objective of this study is to evaluate whether LIL apps meet usability standards that satisfy users’ experiences. As a way to improve usability, problems should be identified through proper measurement and evaluation methods. To derive usability scores, usability testing targeting representative apps from Korea and foreign countries was conducted. The relationship between usability and user interest for each app was determined through big data analytics followed by recommended improvement strategies.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Mobile Applications Usability of Logistics in Life Startups

2020

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“…Moreover, as evident in Figure 10, there has been growing attention given to SDG 9 since 2016. Note that a recent review [142] has evaluated relevant studies on Big Data in sustainability and supply chain management for the past decade. Moreover, a recent paper [143] has summarized a detailed list of drivers for industries to enable and implement sustainable supply chain management.…”

Section: Big Data and Decent Work And Economic Growthmentioning

confidence: 99%

Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance

Hassani

Huang

MacFeely³

et al. 2021

BDCC

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The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015 was a historic event, uniting countries around the world around the shared agenda of sustainable development with a more balanced relationship between human beings and the planet. The SDGs affect or impact almost all aspects of life, as indeed does the technological revolution, empowered by Big Data and their related technologies. It is inevitable that these two significant domains and their integration will play central roles in achieving the 2030 Agenda. This research aims to provide a comprehensive overview of how these domains are currently interacting, by illustrating the impact of Big Data on sustainable development in the context of each of the 17 UN SDGs.

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“…Therefore, research investigating the link between sustainability and BDA as well as supporting the decision-making process of supply chain managers is necessary [58][59][60].…”

Section: Big Data and Sustainable Supply Chainsmentioning

confidence: 99%

Using Big Data for Sustainability in Supply Chain Management

Chalmeta

Barqueros-Muñoz

2021

Sustainability

Self Cite

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In the literature, several frameworks have been proposed to help sustainability management in supply chains. Nevertheless, they present a number of shortcomings. With the aim of overcoming these shortcomings, this paper proposes a framework for sustainable supply chain management composed of six dimensions: methodology, organization, stakeholders, maturity model, human resources, and technology. The main innovations of the framework are that (1) it includes a methodology that acts as a guide to sustainability management and improvement in a holistic way by using a balanced scorecard for any type of supply chain and covering the whole project life cycle; (2) it combines quantitative and qualitative methods for sustainability assessment; (3) it describes the techniques and technology to be used in each task of the methodology; and (4) it identifies the past impact of SC sustainability, as well as predicting its future impact, using Big Data analytics. The practical utility, completeness, and level of detail of the framework were validated through questionnaires answered by both five academics and three professionals. In addition, the framework was applied to a case study to (1) validate its usefulness and (2) to improve it with the feedback obtained.

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Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research

Cited by 77 publications

References 93 publications

Evaluation of Mobile Applications Usability of Logistics in Life Startups

Evaluation of Mobile Applications Usability of Logistics in Life Startups

Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance

Using Big Data for Sustainability in Supply Chain Management

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