Man in front of a screen of data

Big Data on the Transition to Circular Economy and Sustainable Operations Management

Call for papers for: Journal of Enterprise Information Management

Big Data on the Transition to Circular Economy and Sustainable Operations Management


Most modern technologies (e.g., Big Data (BD), Internet of Things (IoT), blockchain, cloud services) are capable of leveraging the effective implementation of the Circular Economy (CE) concepts through companies, organizations, societies and people’s daily life. To deal with the emerging challenges, BD is able to act as a facilitator in order to gain the preferred information that is helpful for decision-makers. BD has caused large, complex, growing data to be produced from many available sources. In general, decision making on the basis of large, diverse data is highly favoured; for that reason, BD is applicable to diverse disciplines. Significant issues of economy and environment together with sustainability have led society to a new paradigm shift, i.e., the CE, BD, and Industry 4.0. Among them, a CE is based on the principles of designing out waste and pollution, keeping products and materials in use, and regenerating natural systems. Following the circular approach, this newly-emergent type of economy can provide social, environmental, and economic advantages by shifting from the linear economy (which is based on the take-make-dispose mechanism) to the CE (Lieder et al., 2017). For the first time, during the Hannover Messe, 2011, Industry 4.0 was officially declared as a German strategic initiative in 2013, which is capable of revolutionizing the whole manufacturing industry (Rajput and Singh Surya; Xu et al., 2018). On the other hand, although, in the field of Sustainable Operations Management (SOM) (Fahimnia et al., 2017), the CE is an emerging approach to the sustainable use of natural resources (McDowall et al., 2017), however, to date, a little attention has been paid to the relationship between SOM and the CE. Therefore, the implementation of the CE is a challenging issue in the different fields of SOM. However, Industry 4.0 can help to achieve sustainability and foster social, economic, and environmental dimensions. In recent years, a few of researchers explored the relationship Industry 4.0 and circular economy practices in the different operation management fields (Lopes de Sousa Jabbour et al., 2018; Nascimento Daniel Luiz et al., 2019; Rajput and Singh, 2019; Rajput and Singh Surya; Rosa et al., 2020; Tseng et al., 2018). Industry 4.0 can help scholars and practitioners to overwhelm existing technological barriers and also attain the CE. In the Industry 4.0, there is the capacity for the achievement of a stable pattern of production and consumption in a way to manage the production efficacy using technological innovations. However, as disruptive technologies on the basis of the Industry 4.0 pillars have come to exist, the CE can be presently achieved through the adoption of advanced technologies (Lopes de Sousa Jabbour et al., 2018). Nevertheless, it is worth noting that because of the very recent emergence of such ideas, the relationships among Industry 4.0, the CE, and BD technologies are still unclear. Furthermore, to embrace Industry 4.0, it is needed to adopt appropriate technologies of BD that can be easily integrated for the aim of gathering, storing, processing, and analyzing data. In the context of Industry 4.0, BD is produced by a number of sources such as manufacturing systems, sensors, machine controllers, people, etc.

Remember that the data-driven analysis approaches and techniques adopted by different industrial sectors may be remarkably different. In spite of the obvious advantages of big data-driven industrial symbiosis, corporates have argued that in their activities within the cross-industry networks, sustainable development is of high importance. The objectives of this SI include:
•    Provide an extensive contribution to the literature by presenting discussions on the ways BD, the CE and the Industry 4.0, which can be integrated into the favour of SOM.
•    Providing state‐of‐the‐art literature of Industry 4.0 and establishing a reliable connection between the Industry 4.0 and the CE in the SOM context. 
In this special issue, we are interested in providing state‐of‐the‐art literature of Industry 4.0 and establishing a reliable connection between the Industry 4.0 and the CE in the SOM context; therefore, we welcome high-quality and unpublished papers for this SI submission.


Call for papers on various issues including, but not limited to:
•    Blockchain-based SOM and the CE
•    Digital Technologies enabled SOM and the CE
•    Big Data For Closed-Loop Recycling Practices For SOM and the CE
•    Internet of Things enabled SOM and the CE
•    Sustainable Business Models and the SOM and the CE
•    Big Data for Sustainable Development Goals and the CE
•    Supply Chain Management and the SOM and the CE
•    Big Data for Decision Making in the SOM and the CE
•    Industry 4.0 Technologies enabled SOM and the CE

Leading Guest Editor: Dr. Abbas Mardani 
University of South Florida, 
United States 
Email: [email protected]    

Guest editor: Professor Gerhard-Wilhelm Weber
Poznan University of Technology, 
Poznan, 
Poland
Email: [email protected]

Guest editor: Dr. Syed Abdul Rehman Khan
Tsinghua University
China, 
Email: [email protected]

Guest editor: Dr. Saeid Jafarzadeh Ghoushchi
Faculty of Industrial Engineering, 
Urmia University of Technology, 
Iran, 
Email: [email protected]


Submission Information
Manuscripts are to be submitted via the Journal of Enterprise Information Management ScholarOne portal https://mc.manuscriptcentral.com/jeim. Potential authors are encourage to consult the author guidelines found here

Deadline for submissions: December 15 2020

References 
Fahimnia B, Sarkis J, Gunasekaran A, Farahani R. Decision models for sustainable supply chain design and management. Annals of Operations Research 2017; 250: 277-278.
Lieder M, Asif FMA, Rashid A, Mihelič A, Kotnik S. Towards circular economy implementation in manufacturing systems using a multi-method simulation approach to link design and business strategy. The International Journal of Advanced Manufacturing Technology 2017; 93: 1953-1970.
Lopes de Sousa Jabbour AB, Jabbour CJC, Godinho Filho M, Roubaud D. Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research 2018; 270: 273-286.
McDowall W, Geng Y, Huang B, Barteková E, Bleischwitz R, Türkeli S, et al. Circular Economy Policies in China and Europe. Journal of Industrial Ecology 2017; 21: 651-661.
Nascimento Daniel Luiz M, Alencastro V, Quelhas Osvaldo Luiz G, Caiado Rodrigo Goyannes G, Garza-Reyes Jose A, Rocha-Lona L, et al. Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context: A business model proposal. Journal of Manufacturing Technology Management 2019; 30: 607-627.
Rajput S, Singh SP. Connecting circular economy and industry 4.0. International Journal of Information Management 2019; 49: 98-113.
Rajput S, Singh Surya P. Industry 4.0 − challenges to implement circular economy.
Rosa P, Sassanelli C, Urbinati A, Chiaroni D, Terzi S. Assessing relations between Circular Economy and Industry 4.0: a systematic literature review. International Journal of Production Research 2020; 58: 1662-1687.
Tseng M-L, Tan RR, Chiu ASF, Chien C-F, Kuo TC. Circular economy meets industry 4.0: Can big data drive industrial symbiosis? Resources, Conservation and Recycling 2018; 131: 146-147.
Xu LD, Xu EL, Li L. Industry 4.0: state of the art and future trends. International Journal of Production Research 2018; 56: 2941-2962.