Big-Data and Service Supply chain management: Challenges and opportunities

Bentalha, Badr

doi:10.5281/zenodo.3607357

Cited by 3 publications

(1 citation statement)

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“…It is a process and "a sequence of stages in the production of a product from the producer's suppliers to the customers of these customers" (Pimor, 2005). Currently, several questions are specific to the service supply chain (Bentalha, 2020;Liu et al, 2021). The peculiar nature of the structure of a SSC is mainly caused by its unique and particular attributes.…”

Section: Theoretical and Conceptual Framework 21 Service Supply Chain...mentioning

confidence: 99%

Smart Technologies for a Sustainable Service Supply Chain: A Prospective Perspective

Bentalha

2022

JEICC

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This paper aims to present new smart technologies and their implications for the sustainability of the service supply chain. Our objective is to show the opportunities offered by smart technologies in the future of service supply chains. The article develops a prospective analysis of the opportunities offered by smart technologies regarding the sustainability of the service supply chain. A prospective analysis of the possible alternatives in terms of technological and commercial opportunities but also terms of barriers to the development of technologies is proposed. This approach is guided by a literature review, interviews with experts, and a quantitative study. The prospective vision obtained traces strong development opportunities in artificial intelligence and Big-Data and exposes the strong presence of financial limits and technological risks inherent to sustainable and digital service logistics. This article proposes an original approach in terms of prospective methodology based on the PRODIN method integrating a literary study, semi-directive interviews, and a quantitative questionnaire.

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Section: Theoretical and Conceptual Framework 21 Service Supply Chain...mentioning

confidence: 99%

Smart Technologies for a Sustainable Service Supply Chain: A Prospective Perspective

Bentalha

2022

JEICC

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Marketing Big Data Analytics and Customer Relationship Management

Bouhtati,

Alla,

Bentalha

2023

Advances in Logistics, Operations, and Management Science

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Customer knowledge is a strategic element, and its importance is growing all the time. The role of the vast quantities of information available in customer relationship management (CRM) systems, when processed using emerging big data techniques, is still in its infancy. Customer relationship management needs big data to improve customer experience and the right targeting of marketing actions. The study aims at designing a hierarchical model via the fuzzy approach of the indicators of the big data marketing approaches and the possible effects on the CRM. The results suggest that CRM initiatives based on big data could be envisaged as a supportive trend in relation to various managerial and structural dimensions. The study also identified major difficulties of big data analysis in CRM, such as storage, quality, process, and cost issues.

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Consumer Perception of Robotic Mobile Fulfillment Systems

Bentalha

2023

Advances in Business Strategy and Competitive Advantage

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The chapter aims to understand customer perception after the introduction of robots in the robotic mobile fulfillment system (RMFS) storage areas for Amazon. Based on a netnographic analysis focused on the use of RMFS by the American company Amazon, the work is mainly aimed at improving our understanding of the performance of RMFS and the perception of this technology by customers of service companies in general and retail companies in particular. Improved productivity, reduced operation time, agility and flexibility, improved picking accuracy, optimal space utilization, cost of capital, and work ergonomics are the main motivations perceived and discussed by the virtual community behind the introduction of RMFS in Amazon's storage areas. Several risks of RMFS robotization are discussed based on the qualitative study conducted. Finally, a classification of the customers' perception of this new technology is made by distinguishing the variables of perceived usefulness and ease of use.

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Big-Data and Service Supply chain management: Challenges and opportunities

Cited by 3 publications

References 0 publications

Smart Technologies for a Sustainable Service Supply Chain: A Prospective Perspective

Smart Technologies for a Sustainable Service Supply Chain: A Prospective Perspective

Marketing Big Data Analytics and Customer Relationship Management

Consumer Perception of Robotic Mobile Fulfillment Systems

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