IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v239y2021ics092552732100181x.html
   My bibliography  Save this article

The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance

Author

Listed:
  • Kristoffersen, Eivind
  • Mikalef, Patrick
  • Blomsma, Fenna
  • Li, Jingyue

Abstract

Today, most organizations are undergoing a digital transformation. At the same time, the gravity of environmental issues has put sustainability and the circular economy at the top of corporate agendas. To this end, information systems, in particular business analytics, are being highlighted as essential enablers of an accelerated circular economy transition. However, effectively managing this joint transformation is a challenge. Firms struggle to identify which organizational resources they should target and how those should be leveraged towards a firm-wide business analytics capability for circular economy. To address these questions, this study draws on recent literature dealing with smart circular economy and business analytics capabilities along with the resource-based and resource orchestration view to (1) create an instrument to measure firms’ business analytics capability for circular economy, and (2) examine the relationship among a circular economy-specific business analytics capability, circular economy implementation, resource orchestration capability, and firm performance. The proposed research model was tested using partial least squares structural equation modeling of survey data from 125 top-level managers at companies across Europe. The results show that firms with a strong business analytics capability have an increased resource orchestration capability and a greater ability to excel in the circular economy, resulting in improved organizational performance in building a more sustainable competitive advantage in an increasingly competitive business landscape. The effect of business analytics capability on firm performance is not direct but fully mediated through resource orchestration capability and circular economy implementation. The results empirically validate the proposed research model and offer pathways to future information systems research streams to support the operationalization of circular strategies. The study provides the first empirical evidence of a business analytics capability for circular economy and its effect on firm performance.

Suggested Citation

  • Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
  • Handle: RePEc:eee:proeco:v:239:y:2021:i:c:s092552732100181x
    DOI: 10.1016/j.ijpe.2021.108205
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092552732100181X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2021.108205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Phil Brown & Nancy Bocken & Ruud Balkenende, 2019. "Why Do Companies Pursue Collaborative Circular Oriented Innovation?," Sustainability, MDPI, vol. 11(3), pages 1-23, January.
    2. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    3. Modgil, Sachin & Gupta, Shivam & Sivarajah, Uthayasankar & Bhushan, Bharat, 2021. "Big data-enabled large-scale group decision making for circular economy: An emerging market context," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Fenna Blomsma & Geraldine Brennan, 2017. "The Emergence of Circular Economy: A New Framing Around Prolonging Resource Productivity," Journal of Industrial Ecology, Yale University, vol. 21(3), pages 603-614, June.
    5. Ching‐Hsun Chang, 2018. "How to Enhance Green Service and Green Product Innovation Performance? The Roles of Inward and Outward Capabilities," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(4), pages 411-425, July.
    6. Paul Lanoie, 2008. "When And Why Does It Pay To Be Green?," CIRANO Papers 2008n-02a, CIRANO.
    7. Clint Chadwick & Janice F. Super & Kiwook Kwon, 2015. "Resource orchestration in practice: CEO emphasis on SHRM, commitment-based HR systems, and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 360-376, March.
    8. Nancy Bocken & Lars Strupeit & Katherine Whalen & Julia Nußholz, 2019. "A Review and Evaluation of Circular Business Model Innovation Tools," Sustainability, MDPI, vol. 11(8), pages 1-25, April.
    9. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    10. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    11. Walter R. Stahel, 2010. "Sustainability and the Performance Economy," Palgrave Macmillan Books, in: The Performance Economy, edition 2, chapter 4, pages 269-287, Palgrave Macmillan.
    12. Jean D. Kabongo & Olivier Boiral, 2017. "Doing More with Less: Building Dynamic Capabilities for Eco‐Efficiency," Business Strategy and the Environment, Wiley Blackwell, vol. 26(7), pages 956-971, November.
    13. Walter R. Stahel, 2010. "The Performance Economy," Palgrave Macmillan Books, Palgrave Macmillan, edition 2, number 978-0-230-27490-7, September.
    14. Inaki Heras-Saizarbitoria, 2011. "Mapping out ISO 9001, ISO 14001 and other management system standards," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 8(1), pages 33-44.
    15. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    16. Owais Khan & Tiberio Daddi & Fabio Iraldo, 2020. "The role of dynamic capabilities in circular economy implementation and performance of companies," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(6), pages 3018-3033, November.
    17. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
    18. Sarstedt, Marko & Hair, Joseph F. & Cheah, Jun-Hwa & Becker, Jan-Michael & Ringle, Christian M., 2019. "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australasian marketing journal, Elsevier, vol. 27(3), pages 197-211.
    19. David J Teece, 2014. "A dynamic capabilities-based entrepreneurial theory of the multinational enterprise," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 45(1), pages 8-37, January.
    20. Tom Lahti & Joakim Wincent & Vinit Parida, 2018. "A Definition and Theoretical Review of the Circular Economy, Value Creation, and Sustainable Business Models: Where Are We Now and Where Should Research Move in the Future?," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    21. Jonathan J.J.M. Seddon & Wendy L. Currie, 2017. "A model for unpacking big data analytics in high-frequency trading," Post-Print hal-01404316, HAL.
    22. Owais Khan & Tiberio Daddi & Fabio Iraldo, 2020. "Microfoundations of dynamic capabilities: Insights from circular economy business cases," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1479-1493, March.
    23. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    24. Francesco Testa & Natalia M. Gusmerotti & D. Amirante & Marco Frey, 2012. "The role of negotiating tools in the environmental policy mix instruments: determinants and effects of Environmental Agreement," Working Papers 201202, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    25. Okechukwu Okorie & Konstantinos Salonitis & Fiona Charnley & Mariale Moreno & Christopher Turner & Ashutosh Tiwari, 2018. "Digitisation and the Circular Economy: A Review of Current Research and Future Trends," Energies, MDPI, vol. 11(11), pages 1-31, November.
    26. Willi Haas & Fridolin Krausmann & Dominik Wiedenhofer & Markus Heinz, 2015. "How Circular is the Global Economy?: An Assessment of Material Flows, Waste Production, and Recycling in the European Union and the World in 2005," Journal of Industrial Ecology, Yale University, vol. 19(5), pages 765-777, October.
    27. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "Towards a business analytics capability for the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    28. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    29. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    30. Patrick Schroeder & Kartika Anggraeni & Uwe Weber, 2019. "The Relevance of Circular Economy Practices to the Sustainable Development Goals," Journal of Industrial Ecology, Yale University, vol. 23(1), pages 77-95, February.
    31. Fuller, Christie M. & Simmering, Marcia J. & Atinc, Guclu & Atinc, Yasemin & Babin, Barry J., 2016. "Common methods variance detection in business research," Journal of Business Research, Elsevier, vol. 69(8), pages 3192-3198.
    32. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    33. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    34. Walter R. Stahel, 2010. "The Performance Economy," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-0-230-28884-3, September.
    35. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
    36. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    37. Gustavo Cattelan Nobre & Elaine Tavares, 2017. "Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 463-492, April.
    38. Ana Beatriz Lopes de Sousa Jabbour & Charbel Jose Chiappetta Jabbour & Moacir Godinho Filho & David Roubaud, 2018. "Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations," Annals of Operations Research, Springer, vol. 270(1), pages 273-286, November.
    39. Vanessa Prieto‐Sandoval & Carmen Jaca & Javier Santos & Rupert J. Baumgartner & Marta Ormazabal, 2019. "Key strategies, resources, and capabilities for implementing circular economy in industrial small and medium enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(6), pages 1473-1484, November.
    40. Vidgen, Richard & Shaw, Sarah & Grant, David B., 2017. "Management challenges in creating value from business analytics," European Journal of Operational Research, Elsevier, vol. 261(2), pages 626-639.
    41. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
    42. Walter R. Stahel, 2010. "Sustainability and the Performance Economy," Palgrave Macmillan Books, in: The Performance Economy, edition 0, chapter 4, pages 269-287, Palgrave Macmillan.
    43. Arunachalam, Deepak & Kumar, Niraj & Kawalek, John Paul, 2018. "Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 416-436.
    44. Gelhard, Carsten & von Delft, Stephan, 2016. "The role of organizational capabilities in achieving superior sustainability performance," Journal of Business Research, Elsevier, vol. 69(10), pages 4632-4642.
    45. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    46. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    47. Sea-Jin Chang & Arjen van Witteloostuijn & Lorraine Eden, 2010. "From the Editors: Common method variance in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(2), pages 178-184, February.
    48. T. Russell Crook & David J. Ketchen & James G. Combs & Samuel Y. Todd, 2008. "Strategic resources and performance: a meta‐analysis," Strategic Management Journal, Wiley Blackwell, vol. 29(11), pages 1141-1154, November.
    49. Paolo Rosa & Claudio Sassanelli & Andrea Urbinati & Davide Chiaroni & Sergio Terzi, 2020. "Assessing relations between Circular Economy and Industry 4.0: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1662-1687, March.
    50. Kirchherr, Julian & Reike, Denise & Hekkert, Marko, 2017. "Conceptualizing the circular economy: An analysis of 114 definitions," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 221-232.
    51. Suk Bong Choi & Wang Ro Lee & Seung-Wan Kang, 2020. "Entrepreneurial Orientation, Resource Orchestration Capability, Environmental Dynamics and Firm Performance: A Test of Three-Way Interaction," Sustainability, MDPI, vol. 12(13), pages 1-13, July.
    52. Russell Tatenda Munodawafa & Satirenjit Kaur Johl, 2019. "Big Data Analytics Capabilities and Eco-Innovation: A Study of Energy Companies," Sustainability, MDPI, vol. 11(15), pages 1-21, August.
    53. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 2018. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 20(2), pages 209-222, April.
    54. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    55. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    56. Xiao, Yu & Lu, Louis Y.Y. & Liu, John S. & Zhou, Zhili, 2014. "Knowledge diffusion path analysis of data quality literature: A main path analysis," Journal of Informetrics, Elsevier, vol. 8(3), pages 594-605.
    57. Marcus Linder & Mats Williander, 2017. "Circular Business Model Innovation: Inherent Uncertainties," Business Strategy and the Environment, Wiley Blackwell, vol. 26(2), pages 182-196, February.
    58. Gupta, Shivam & Chen, Haozhe & Hazen, Benjamin T. & Kaur, Sarabjot & Santibañez Gonzalez, Ernesto D.R., 2019. "Circular economy and big data analytics: A stakeholder perspective," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 466-474.
    59. Kay H. Hofmann & Gregory Theyel & Craig H. Wood, 2012. "Identifying Firm Capabilities as Drivers of Environmental Management and Sustainability Practices – Evidence from Small and Medium‐Sized Manufacturers," Business Strategy and the Environment, Wiley Blackwell, vol. 21(8), pages 530-545, December.
    60. Kevin Zheng Zhou & Caroline Bingxin Li, 2012. "How knowledge affects radical innovation: Knowledge base, market knowledge acquisition, and internal knowledge sharing," Strategic Management Journal, Wiley Blackwell, vol. 33(9), pages 1090-1102, September.
    61. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
    62. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    63. Emilia Ingemarsdotter & Ella Jamsin & Gerd Kortuem & Ruud Balkenende, 2019. "Circular Strategies Enabled by the Internet of Things—A Framework and Analysis of Current Practice," Sustainability, MDPI, vol. 11(20), pages 1-37, October.
    64. Christina W.Y. Wong & Chee Yew Wong & Sakun Boon‐itt, 2018. "How Does Sustainable Development of Supply Chains Make Firms Lean, Green and Profitable? A Resource Orchestration Perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 27(3), pages 375-388, March.
    65. Andrew C. Inkpen & Wang Pien, 2006. "An Examination of Collaboration and Knowledge Transfer: China–Singapore Suzhou Industrial Park," Journal of Management Studies, Wiley Blackwell, vol. 43(4), pages 779-811, June.
    66. Juanru Wang & Yajiong Xue & Jin Yang, 2020. "Boundary‐spanning search and firms' green innovation: The moderating role of resource orchestration capability," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 361-374, February.
    67. Akter, Shahriar & Wamba, Samuel Fosso & D’Ambra, John, 2019. "Enabling a transformative service system by modeling quality dynamics," International Journal of Production Economics, Elsevier, vol. 207(C), pages 210-226.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "Towards a business analytics capability for the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    2. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    3. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Shore, Adam & Ram, Pratibha, 2023. "Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    4. Awan, Usama & Shamim, Saqib & Khan, Zaheer & Zia, Najam Ul & Shariq, Syed Muhammad & Khan, Muhammad Naveed, 2021. "Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    5. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    6. Yasanur Kayikci & Yigit Kazancoglu & Nazlican Gozacan‐Chase & Cisem Lafci, 2022. "Analyzing the drivers of smart sustainable circular supply chain for sustainable development goals through stakeholder theory," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3335-3353, November.
    7. Erik G. Hansen & Ferdinand Revellio, 2020. "Circular value creation architectures: Make, ally, buy, or laissez‐faire," Journal of Industrial Ecology, Yale University, vol. 24(6), pages 1250-1273, December.
    8. Miha Dominko & Kaja Primc & Renata Slabe-Erker & Barbara Kalar, 2023. "A bibliometric analysis of circular economy in the fields of business and economics: towards more action-oriented research," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5797-5830, July.
    9. Animesh Ghosh & Prabha Bhola & Uthayasankar Sivarajah, 2022. "Emerging Associates of the Circular Economy: Analysing Interactions and Trends by a Mixed Methods Systematic Review," Sustainability, MDPI, vol. 14(16), pages 1-41, August.
    10. Sehrish Atif & Shehzad Ahmed & Muhammad Wasim & Bassam Zeb & Zeeshan Pervez & Lorraine Quinn, 2021. "Towards a Conceptual Development of Industry 4.0, Servitisation, and Circular Economy: A Systematic Literature Review," Sustainability, MDPI, vol. 13(11), pages 1-27, June.
    11. Ashaari, Mohamed Azlan & Singh, Karpal Singh Dara & Abbasi, Ghazanfar Ali & Amran, Azlan & Liebana-Cabanillas, Francisco J., 2021. "Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Usama Awan & Robert Sroufe & Muhammad Shahbaz, 2021. "Industry 4.0 and the circular economy: A literature review and recommendations for future research," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2038-2060, May.
    13. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
    14. Alberto Bertello & Alberto Ferraris & Stefano Bresciani & Paola Bernardi, 2021. "Big data analytics (BDA) and degree of internationalization: the interplay between governance of BDA infrastructure and BDA capabilities," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1035-1055, December.
    15. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    16. Tugba Karaboga & Cemal Zehir & Ekrem Tatoglu & H. Aykut Karaboga & Abderaouf Bouguerra, 2023. "Big data analytics management capability and firm performance: the mediating role of data-driven culture," Review of Managerial Science, Springer, vol. 17(8), pages 2655-2684, November.
    17. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    18. Doussoulin, Jean Pierre & Bittencourt, Mariana, 2022. "How effective is the construction sector in promoting the circular economy in Brazil and France? : A waste input-output analysis," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 47-58.
    19. Stekelorum, Rebecca & Laguir, Issam & Lai, Kee-hung & Gupta, Shivam & Kumar, Ajay, 2021. "Responsible governance mechanisms and the role of suppliers’ ambidexterity and big data predictive analytics capabilities in circular economy practices improvements," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    20. Dwivedi, Ashish & Moktadir, Md. Abdul & Chiappetta Jabbour, Charbel José & de Carvalho, Daniel Estima, 2022. "Integrating the circular economy and industry 4.0 for sustainable development: Implications for responsible footwear production in a big data-driven world," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:239:y:2021:i:c:s092552732100181x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.