Powering retailers’ digitization through analytics and automation

Simchi‐Levi, David; Wu, Michelle Xiao

doi:10.1080/00207543.2017.1404161

Cited by 36 publications

(15 citation statements)

References 4 publications

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“…BDA has been undoubtedly the most elaborated area of digital technologies application to SCM over the last decade. Johnson, Lee, and Simchi-Levi (2016) and Simchi-Levi and Wu (2018) analysed the application of BDA to retail. Retailers must continuously strive to grow their revenue, margins and market share.…”

Section: Big Data Analyticsmentioning

confidence: 99%

The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

Ivanov

Dolgui

Sokolov

2018

International Journal of Production Research

1,250

641

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The impact of digitalisation and Industry 4.0 on the ripple effect and disruption risk control analytics in the supply chain (SC) is studied. The research framework combines the results from two isolated areas, i.e. the impact of digitalisation on SC management (SCM) and the impact of SCM on the ripple effect control. To the best of our knowledge, this is the first study that connects business, information, engineering and analytics perspectives on digitalisation and SC risks. This paper does not pretend to be encyclopedic, but rather analyses recent literature and case-studies seeking to bring the discussion further with the help of a conceptual framework for researching the relationships between digitalisation and SC disruptions risks. In addition, it emerges with an SC risk analytics framework. It analyses perspectives and future transformations that can be expected in transition towards cyber-physical SCs. With these two frameworks, this study contributes to the literature by answering the questions of (1) what relations exist between big data analytics, Industry 4.0, additive manufacturing, advanced trace & tracking systems and SC disruption risks; (2) how digitalisation can contribute to enhancing ripple effect control; and (3) what digital technology-based extensions can trigger the developments towards SC risk analytics.

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Section: Big Data Analyticsmentioning

confidence: 99%

The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

Ivanov

Dolgui

Sokolov

2018

International Journal of Production Research

1,250

641

View full text Add to dashboard Cite

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“…Industry 4.0 is commonly understood as a broad socio-technical paradigm (Dalenogare et al, 2018;Mariani and Borghi, 2019). In its original German conceptualization (Kagermann et al, 2013) the scope of the phenomenon was limited to manufacturing, but the distinction became less sharp in the light of technology-driven transformations across economic sectors (e.g., Simchi-Levi and Wu, 2018;Caro and Sadr, 2019;Mariani et al, 2018) as well as in the public and social sphere (e.g., Nicolescu et al, 2018;Ossewaarde, 2019;Pauget and Dammak, 2019).…”

Section: Industry 40: Concept and Research Issuesmentioning

confidence: 99%

The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0

Culot

Orzes

Sartor

et al. 2020

Technological Forecasting and Social Change

174

103

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Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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“…Recent studies (Ferreira et al , 2015; Simchi-Levi and Wu, 2017) analyzed BDA's application to the retail market. The main challenges for the retailer are pricing and predicting demand for new products, both of which significantly determine sales volume and revenue.…”

Section: Review Of Literaturementioning

confidence: 99%

Digital supply chain to unlock new agility: a TISM approach

Choudhury

Behl

Sheorey

et al. 2021

BIJ

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PurposeTraditional supply chain arrangements have failed to keep up with escalating customer demands and breakthrough innovations. The way forward is a flexible yet innovative network that leverages ecosystem partners and digital tools to unlock new agility. The paper aims at identifying and analyzing numerous critical success factors (CSFs) that may improve the efficiency of a digital supply chain.Design/methodology/approachTwelve CSFs are identified in this paper through an extensive literature survey. Expert opinion has been considered and the hierarchical structure built using total interpretative structural modeling (TISM) which highlights the interdependencies between these CSFs. Cross-impact matrix multiplication (MICMAC) is used to determine the driving and dependence power of each factor.FindingsThis study identified 12 CSFs through an extensive literature survey. The ISM model resulted in six different levels beginning from redesign organization at the bottom of the structure. The TISM model explained why redesigning the organization is pivotal to bringing about novel agility in the supply chain. MICMAC analysis confirmed that the following enhanced the success of a digital supply chain: Sales and Operation Planning Strategies, Strategic Sourcing Techniques, Smart Manufacturing Processes and Warehouse Management.Research limitations/implicationsVarious other components contributing to the 12 CSFs identified in this paper may be discovered and detailed in future research. Additionally, further research is required to expand the existing technology-based services structural model to a more empirical form.Practical implicationsThis study offers a comprehensive but not exhaustive list of CSFs essential to digital supply chain growth. It will enable market experts and leaders to concentrate on key factors leading to tactical decisions and maximum value for firms.Originality/valueThe paper seeks to add to the body of knowledge on real digitally-led supply chain transformation, which is still in its early stages. This study is one of the first, if not the first, to examine success factors critical to the improvement of the performance of the supply chain. It lays the foundation for further research in this field.

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Powering retailers’ digitization through analytics and automation

Cited by 36 publications

References 4 publications

The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0

Digital supply chain to unlock new agility: a TISM approach

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