Adoption of big data analytics practices for sustainability development in the e-commercesupply chain: a mixed-method study

Gangwar, Hemlata; Mishra, Ruchi; Kamble, Sachin S.

doi:10.1108/ijqrm-07-2021-0224

Cited by 12 publications

(3 citation statements)

References 83 publications

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“…Due to intense modern-day competition, managers and leaders of enterprises and organizations leverage contemporary science and technology to gain a larger market share [9]. Raising efficiency and reducing expenses have emerged as two critical elements.…”

Section: Introductionmentioning

confidence: 99%

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Abbasi,

Vlachos,

Samadzadeh

et al. 2024

Logistics

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Background: Supply chain networks (SCNs) have been interrupted by the COVID-19 pandemic, leaving them open to financial losses. SCs have been impacted by the pandemic, necessitating the adoption of sustainable practices and dynamic capacities to ensure resilience and performance. Several studies have focused on this subject, offering insights into the importance of sustainable supply-chain management, corporate governance, big data management activities, and digital technology in minimising the consequences of the pandemic and fostering sustainability. Methods: This study suggests an analytical framework for assessing environmentally friendly procedures and dynamic capacities to assure performance in a disruptive environment. Results: The following are some of the important details and contributions in this article: (1) developed a conceptual framework for assessing dynamic capacities and sustainable behaviours considering COVID-19, (2) concentrates on financial ratios during COVID-19, and (3) established drivers for sustainable practices and competencies during disruption and unpredictable business settings. Conclusions: The suggested model can assist practitioners in creating and implementing sustainable supply chain (SC) activities and tracking and assessing their effects on the sustainability of businesses. So, the proposed model can assist managers in creating and implementing sustainable supply-chain activities and tracking and analysing their effects on the sustainability of businesses.

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Section: Introductionmentioning

confidence: 99%

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Abbasi,

Vlachos,

Samadzadeh

et al. 2024

Logistics

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“…Companies can be confused by this large volume of data (Maddikunta et al, 2022;Song et al, 2021;Tseng et al, 2022). In this case, modern tools such as Big Data and analytics support the performance of detailed information analysis (Taniguchi et al, 2016;Gangwar et al, 2023). But beyond knowing the history and what has happened in supply chain management, it is necessary to design tools that allow converting this data into useful information to improve the overall performance of the entire chain considering the different actors, their behaviors, and economic, environmental, social objectives.…”

Section: Introductionmentioning

confidence: 99%

Integrating Multi-agent System and Microsimulation for Dynamic Modeling of Urban Freight Transport

Gómez-Marín¹,

Mosquera²,

Serna-Urán³

2023

Period. Polytech. Transp. Eng.

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This work aims to apply an integration between a multi-agent system and microsimulation to take advantage of the large amount of data generated in urban freight transport to improve the overall performance of the urban supply chain without forgetting the principles of autonomy that govern each of its actors, responding to the different dynamic scenarios that may arise in the operational context. The integration framework produces a satisfactory communication process in those modeling methods measured by two indexes: throughput and latency. The results of this integration show a robust response to dynamic scenarios and allow reacting to the different quantity of changes without dismissing the search for optimum solutions.

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“…Sharing and publishing such databases can play a crucial role in many research fields and contribute to sustainable development goals because it enables a wide range of data analyses. For example, for the responsible consumption and production goal, analysing individuals' online shopping histories or search queries can reveal the rate of the transition to energy-efficient products [3,4]. Nonetheless, these databases may contain sensitive information about individuals, such as their names or private preferences; hence, divulging this information to third parties may constitute an invasion of individuals' right to privacy.…”

Section: Introductionmentioning

confidence: 99%

An Improved Partitioning Method via Disassociation towards Environmental Sustainability

Alshuhail

Bhatia

2023

Sustainability

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The amount of data created by individuals increases daily. These data may be gathered from various sources, such as social networks, e-commerce websites and healthcare systems, and they are frequently made available to third-party research and commercial organisations to facilitate a wide range of data studies. The protection of sensitive and confidential information included within the datasets to be published must be addressed, even though publishing data can assist organisations in improving their service offerings and developing new solutions that would not otherwise be available. The research community has invested great effort over the past two decades to comprehend how individuals’ privacy may be preserved when their data need to be published. Disassociation is a common approach for anonymising transactional data against re-identification attacks in privacy-preserving data publishing. To address this issue, we proposed three new strategies for horizontal partitioning: suppression, adding and remaining list. Each strategy identifies a different approach for handling small clusters with fewer than k transactions. We used three real datasets for transactional data in our experiments, and our findings showed that our proposed strategies could decrease the percentage of information loss of disassociated transactional data by almost 35%, comparing it with the previous original disassociation algorithm. As a result, the utility of published data will be improved.

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Adoption of big data analytics practices for sustainability development in the e-commercesupply chain: a mixed-method study

Cited by 12 publications

References 83 publications

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Integrating Multi-agent System and Microsimulation for Dynamic Modeling of Urban Freight Transport

An Improved Partitioning Method via Disassociation towards Environmental Sustainability

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