The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events

Bag, Surajit; Rahman, Muhammad Sabbir; Srivastava, Gautam; Chan, Hau‐Ling; Bryd, David J.

doi:10.1016/j.ijpe.2022.108541

Cited by 51 publications

(14 citation statements)

References 123 publications

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“…External/internal supply chain risks include delivery and process delays and material shortages because of natural disasters (Ethirajan et al, 2021 ). Also, companies need to think of frequent occurrences of extreme weather events in South Africa (Bag et al, 2022b ).…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Barriers of a Circular Economy for Enhancing Competitiveness: An Interpretive Structural Modeling Approach

Gift

Bag

Pretorius

2023

JGBC

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This paper aims to identify the critical barriers to the circular economy (CE) within South African manufacturing companies and further model the barriers. A literature review was done to identify the barriers of CE in the context of South Africa and used as an input in the interpretive structural modeling (ISM) technique. This study discovered that the key challenges to CE adoption in the South African manufacturing industry are a lack of proper communication of the CE objectives, which dramatically impacts the whole system, indicating that it should be prioritized. The removal of all the CE obstacles will enhance the firm’s competitiveness in the market. The unique contribution of this study is the alternate approach used in theory building. The CE barriers were identified in the context of South Africa and further the interrelationships among the barriers were presented. The findings will be helpful for managers and policymakers. Supplementary Information The online version contains supplementary material available at 10.1007/s42943-023-00070-6.

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Section: Literature Reviewmentioning

confidence: 99%

Modeling the Barriers of a Circular Economy for Enhancing Competitiveness: An Interpretive Structural Modeling Approach

Gift

Bag

Pretorius

2023

JGBC

Self Cite

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“…In case of extreme high temperature, it is necessary to add reagents to maintain the concrete at normal level. After the temperature of some buildings rises in summer, the installed plates will expand, bulge, deform or misplace, which is also caused by the shrinkage of plates in the low temperature environment during the initial construction [7].…”

Section: Impact On the Construction Industrymentioning

confidence: 99%

The Impact of Extreme Weather Events on the Economic Performance

Su¹,

Wen²

2023

BCPBM

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With the increasing number of populations, the environment on the earth is seriously damaged, leading to a lot of weather disaster such as extreme high temperature in summer, global warming and so on. These events have a considerable number of impacts on human, especially for economy. This paper represents a comprehensive review of research dedicated to the effects of weather events on economy. During the research, a considerable number of papers about the impact on the economy were referred. Based on the statistical data and deeply analysis, it can be found that weather have a lot of negative impact on both agriculture, industry, and energy consumption. In the future, with the development of machine learning algorithms, and cloud computing, the simulation of chaotic systems such as weather and climate will be more accurate. Climate change poses great challenges in economics, and it is the largest and broadest market failure phenomenon so far. Therefore, it is necessary and urgent to study the economics of climate change.

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“…One of this decade's most researched disruptive and innovative technologies is blockchain, which offers a secure service for origin tracking and keeping (Yaqoob et al, 2021). It may be noted herein that during the COVID-19 crisis, fraudulent activities increased considerably, especially in financial transactions (Katsaliaki et al, 2021;Bag et al, 2021;Bag et al, 2022). Using blockchain could help mitigate several challenges, including the lack of a universal database, low asset traceability and over-headed expenditure (Yaqoob et al, 2021).…”

Section: Digitization Of Supply Chain (Theme 2)mentioning

confidence: 99%

Exploring the application of analytics in supply chain during COVID-19 pandemic: a review and future research agenda

Shrivastav

2022

JGOSS

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Purpose This study aims to comprehend the application of analytics in the supply chain during the ongoing COVID-19 crisis and identify the emerging themes. Design/methodology/approach The author downloaded a list of research articles on the application of analytics to the supply chain from SCOPUS, conducted a systematic literature review for exploratory analysis and proposed a framework. Notably, the author used the topic modeling technique to identify research themes published during the ongoing COVID-19 crisis and thereby underscore some future research directions. Findings The author found that artificial intelligence, machine learning, internet of thing and blockchain are trending topics. Additionally, the author identified five themes by topic modeling, including the theme “Social Media information in Supply chain.” Research limitations/implications The results were derived from a data set extracted from SCOPUS. Thus, the author excluded all studies not listed in SCOPUS from the analysis. Future research with articles indexed in other databases should be investigated to get a more holistic perspective of specific themes. Practical implications This study provides a deeper understanding and proposes a framework for applications of analytics in the supply chain that researchers could use for future research and industry practitioners to implement in their organizations to make a more sustainable and resilient supply chain. Originality/value This study provides exploratory information from published articles on the use of analytics in the supply chain during the COVID-19 crisis and generates themes that help understand the emerging and underpinned area of research.

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The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events

Cited by 51 publications

References 123 publications

Modeling the Barriers of a Circular Economy for Enhancing Competitiveness: An Interpretive Structural Modeling Approach

Modeling the Barriers of a Circular Economy for Enhancing Competitiveness: An Interpretive Structural Modeling Approach

The Impact of Extreme Weather Events on the Economic Performance

Exploring the application of analytics in supply chain during COVID-19 pandemic: a review and future research agenda

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