The International Journal of Logistics Management: Volume 29 Issue 2

Big data analytics in logistics and supply chain management

Samuel Fosso Wamba, Angappa Gunasekaran, Thanos Papadopoulos, Eric Ngai

Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust

Rameshwar Dubey, Zongwei Luo, Angappa Gunasekaran, Shahriar Akter, Benjamin T. Hazen, Matthew A. Douglas

The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in…

Impact of big data and predictive analytics capability on supply chain sustainability

Shirish Jeble, Rameshwar Dubey, Stephen J. Childe, Thanos Papadopoulos, David Roubaud, Anand Prakash

The purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the…

Global supply chain integration, financing restrictions, and green innovation: Analysis based on 222,773 samples

Malin Song, Mei Chen, Shuhong Wang

The purpose of this paper is to analyze the influence that the financial restrictions of Chinese enterprises exert on their green innovation abilities with their increased…

Practitioners understanding of big data and its applications in supply chain management

Morten Brinch, Jan Stentoft, Jesper Kronborg Jensen, Christopher Rajkumar

Big data poses as a valuable opportunity to further improve decision making in supply chain management (SCM). However, the understanding and application of big data seem rather…

Big Data Analytics and IoT in logistics: a case study

John Hopkins, Paul Hawking

Advances in technology enable companies to collect and analyse data, which were previously not accessible, to either enhance existing business processes or create new ones. The…

The influence of the Digital Divide on Big Data generation within supply chain management

Ginevra Gravili, Marco Benvenuto, Alexandru Avram, Carmine Viola

The purpose of this paper is to examine the influence of the Digital Divide (DD) and digital alphabetization (DA) on the Big Data (BD) generation process, to gain insight into how…

Modeling big data enablers for operations and supply chain management

Kuldeep Lamba, Surya Prakash Singh

The purpose of this paper is to identify and analyse the interactions among various enablers which are critical to the success of big data initiatives in operations and supply…

Role of cloud ERP on the performance of an organization: Contingent resource-based view perspective

Shivam Gupta, Sameer Kumar, Sanjay Kumar Singh, Cyril Foropon, Charu Chandra

Cloud-based enterprise resource planning (ERP) enables an organization to pay for the services they need and removes the need to maintain information technology infrastructure…

Understanding the determinants of big data analytics (BDA) adoption in logistics and supply chain management: An empirical investigation

Yuanyuan Lai, Huifen Sun, Jifan Ren

Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to…

Customers’ tolerance for validation in omnichannel retail stores: Enabling logistics and supply chain analytics

Hartmut Hoehle, John A. Aloysius, Frank Chan, Viswanath Venkatesh

Mobile technologies are increasingly used as a data source to enable big data analytics that enable inventory control and logistics planning for omnichannel businesses. The…

Creation of unstructured big data from customer service: The case of parcel shipping companies on Twitter

Jyotirmoyee Bhattacharjya, Adrian Bachman Ellison, Vincent Pang, Arda Gezdur

Customer service provision is a growing phenomenon on social media and parcel shipping companies have been among the most prominent adopters. This has coincided with greater…

Big data analytics and demand forecasting in supply chains: a conceptual analysis

Erik Hofmann, Emanuel Rutschmann

Demand forecasting is a challenging task that could benefit from additional relevant data and processes. The purpose of this paper is to examine how big data analytics (BDA…

Big data analytics in supply chain and logistics: an empirical approach

Maciel Manoel Queiroz, Renato Telles

The purpose of this paper is to recognise the current state of big data analytics (BDA) on different organisational and supply chain management (SCM) levels in Brazilian firms…