CoChat
Sign Up
Cited by 159Big Data and Business IntelligenceQuality and Supply ManagementImpact of AI and Big Data on Business and Society

Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario: Moderating role of SME technology leadership

Open access
Chatterjee, Sheshadri, Chaudhuri, Ranjan, Shah, Mahmood, Maheshwari, Pratik·2022·Computers & Industrial Engineering
DOI 10.1016/j.cie.2022.108058PMC PMC9758005
Open this paper in CoChat — free account

Abstract

Due to the COVID-19 pandemic, there is an unprecedented crisis for businesses. The small and medium enterprises (SMEs) have been impacted even more, due to their limited resources. Extant literature has prescribed many treatments on how SMEs could survive in post COVID-19 situation, but studies did not analyse how big data driven innovation could improve supply chain management (SCM) process in the post COVID-19 pandemic under the moderating influence of SME technology leadership support. Thus, there is a research gap in this important domain. The aim of this study is to examine the impact of big data driven innovation and technology capability of the SME on its supply chain system. The study also investigates the moderating role of SME technology leadership support on SME performance in the post COVID-19 scenario. With the help of literature and resource-based view (RBV) and dynamic capability view (DCV) theory, a theoretical model has been developed conceptually. Later the model is validated using structural equation modelling (SEM) technique with 327 usable respondents from SMEs from India. The study found that both big data driven innovation and the techno-functional capability of SME impacts supply chain capability which in turn impacts the SME performance in the post COVID-19 scenario. The study also finds that there will be a moderating impact of SME technology leadership support on SME performance.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cie.2022.108058

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • IoT enables remote monitoring and control of operations, as well as process automation that increases productivity and reduces labor costs.

    “the Internet of Things (IoT) enables remote monitoring and control of operations, as well as process automation that increases productivity and reduces labor costs”

    From Innovation as A Driver of SMEs Sustainability: A Systematic Review of the Literature (2025) · cites this paper as Chatterjee et al., 2022

    The Discussion on results (page unavailable) says that SME IT capabilities, including IoT, could improve supply-chain operations. It does not say that IoT enables remote monitoring or control, automates processes, increases productivity, or reduces labor costs; its discussion of remote work concerns employees rather than IoT monitoring. (LLM, conf=0.79)

    Experimental — accuracy not yet measured

  • Adaptation and technological innovation are important in supporting the sustainability of SME operations in the midst of the challenges faced.

    “the importance of adaptation and technological innovation in supporting the sustainability of SME operations in the midst of the challenges faced.”

    From Innovation as A Driver of SMEs Sustainability: A Systematic Review of the Literature (2025) · cites this paper as Chatterjee et al., 2022

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 89

  1. Aktar A. Pangil F. The relationship between employee engagement, HRM practices and perceived organizational support: Evidence from banking employees International Journal of Human Resource Studies 7 3 2017 1 22 10.5296/ijhrs.v7i3.11353 · DOI
  2. Aryal A. Liao Y. Nattuthurai P. Li B. The emerging big data analytics and IoT in supply chain management: A systematic review Supply Chain Management 25 2 2020 141 156 10.1108/SCM-03-2018-0149 · DOI
  3. Asgary A. Ozdemir A.I. Özyürek H. Small and Medium Enterprises and Global Risks: Evidence from Manufacturing SMEs in Turkey International Journal of Disaster Risk Science 11 1 2020 59 73 10.1007/s13753-020-00247-0 · DOI
  4. Auzzir Z. Haigh R. Amaratunga D. Impacts of Disaster to SMEs in Malaysia Procedia Engineering 212 2018 1131 1138 10.1016/j.proeng.2018.01.146 · DOI
  5. Bartik, A., Bertrand, M., Cullen, Z. B., Glaeser, E. L., Luca, M. & Stanton, C. (2020). How Are Small Businesses Adjusting to COVID-19? Early Evidence From a Survey. Harvard Business School Working Paper, 20(102), 1-37. https://doi.org/ 10.3386/w26989. · DOI
  6. Basiouni A. Hafizi A. Akhtar N. Alojairi A. Assessing Canadian Business IT Capabilities for Online Selling Adoption: A Net-Enabled Business Innovation Cycle (NEBIC) Perspective Sustainability 11 13 2019 3662 10.3390/su11133662 · DOI
  7. Bennett K. Phillipson J. A Plague Upon their Houses: Revelations of the Foot and Mouth Disease Epidemic for Business Households Sociologia Ruralis 44 3 2004 261 284 10.1111/j.1467-9523.2004.00275.x · DOI
  8. Bowersox D.J. Closs D.J. Cooper M.B. Supply Chain Logistics Management 2002 McGraw Hill Irwin, NY, USA
  9. Brinch M. Understanding the value of big data in supply chain management and its business processes: Towards a conceptual framework International Journal of Operations & Production Management 38 7 2018 1589 1614 10.1108/IJOPM-05-2017-0268 · DOI
  10. Bueno A.F. Godinho Filho M. Frank A.G. Smart production planning and control in the industry 4.0 context: A systematic literature review Computers & Industrial Engineering 149 11 2020 106774
  11. Carnevale J.B. Hatak I. Employee adjustment and well-being in the era of COVID-19: Implications for human resource management Journal of Business Research 116 2020 183 187 32501303 PMC7241356
  12. Chatterjee S. Kar A.K. Effects of successful adoption of information technology enabled services in proposed smart cities of India: From user experience perspective Journal of Science and Technology Policy Management 9 2 2018 189 209 10.1108/JSTPM-03-2017-0008 · DOI
  13. Chatterjee S. Nguyen B. Value co-creation and social media at bottom of pyramid (BOP) The Bottom Line, In Press. 2021 10.1108/BL-11-2020-0070 · DOI
  14. Chatterjee S. Chaudhuri R. Vrontis D. Thrassou A. Ghosh S.K. ICT-enabled CRM system adoption: A dual Indian qualitative case study and conceptual framework development Journal of Asia Business Studies 15 2 2021 257 277 10.1108/JABS-05-2020-0198 · DOI
  15. Chatterjee S. Ghosh S.K. Chaudhuri R. Knowledge management in improving business process: An interpretative framework for successful implementation of AI–CRM–KM system in organizations Business Process Management Journal 26 6 2020 1261 1281 10.1108/BPMJ-05-2019-0183 · DOI
  16. Chatterjee, S., Rana, N.P. & Dwivedi, Y.K. (2021c). Assessing Consumers’ Co‐production and Future Participation on Value Co‐creation and Business Benefit: a F-P-C-B Model Perspective. Information Systems Frontiers, In Press. https://doi.org/10.1007/s10796-021-10104-0. · DOI
  17. Chatterjee, S., Rana, N.P., & Dwivedi, Y.K. (2021d). How does business analytics contribute to organizational performance and business value? A resource-based view. Information Technology & People, In Press. https://doi.org/10.1108/ITP-08-2020-0603. · DOI
  18. Chin, W.W. (2010). How to write up and report PLS analyses. In Vinzi, V. E., Chin, W. W., Henseler, J., & Wang, H. (Eds.), Handbook of partial least squares. 655–690. Berlin, Heidelberg, Springer.
  19. Deb M. David E.L. An empirical examination of customers’ adoption of m-banking in India Journal of Marketing Intelligence & Planning 32 4 2014 475 494
  20. Del Giudice M. Chierici R. Mazzucchelli A. Fiano F. Supply chain management in the era of circular economy: The moderating effect of big data The International Journal of Logistics Management 32 2 2021 337 356 10.1108/IJLM-03-2020-0119 · DOI
  21. DesJardine M. Bansal P. Yang Y. Bouncing back: Building resilience through social and environmental practices in the context of the 2008 global financial crisis Journal of Management 45 4 2019 1434 1460 10.1177/0149206317708854 · DOI
  22. Donate, M.J., & Guadamillas, F. (2011). Organizational factors to support knowledge management and innovation. Journal of Knowledge Management, 15(6), 890-914. https://doi.org/ 10.1108/13673271111179271. · DOI
  23. Dubey R. Gunasekaran A. Childe S.J. Blome C. Papadopoulos T. Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory and Resource Based View British Journal of Management 30 2 2019 341 361
  24. Eggers F. Masters of disasters? Challenges and opportunities for SMEs in times of crisis Journal of Business Research 116 2020 199 208 32501306 PMC7247971
  25. Elakkiya R. Vijayakumar P. Karuppiah M. COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking Information Systems Frontiers 2021 10.1007/s10796-021-10123-x PMC7968919 33753967 · DOI
  26. El-Haddadeh, R., Fadlalla, A. & Hindi, N.M. (2021). Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries. Information Systems Frontiers, In Press. https://doi.org/10.1007/s10796-021-10140-w. PMC8099995 33972823 · DOI
  27. Errassafi M. Abbar H. Benabbou Z. The mediating effect of internal integration on the relationship between supply chain integration and operational performance: Evidence from Moroccan manufacturing companies Journal of Industrial Engineering and Management 12 2 2019 254 273 10.3926/jiem.2794 · DOI
  28. Farrell P. Thow A.M. Wate J.T. Nonga N. Vatucawaqa P. Brewer T. … Eriksson H. COVID-19 and Pacific food system resilience: Opportunities to build a robust response Food Security 12 4 2020 783 791 10.1007/s12571-020-01087-y 32837656 PMC7369468 · DOI
  29. Felix A. Lamar P. The behavioral and evolutionary roots of dynamic capabilities Industrial and Corporate Change 27 2 2018 413 424 10.1093/icc/dtx050 · DOI
  30. Fornell C. Larcker D.F. Evaluating structural equation models with unobservable variables and measurement error Journal of Marketing Research 18 1 1981 39 50 10.1177/002224378101800104 · DOI · Paper page
  31. Grewal R. Tansuhaj P. Building Organizational Capabilities for Managing Economic Crisis: The Role of Market Orientation and Strategic Flexibility Journal of Marketing 65 2001 67 80 10.1509/jmkg.65.2.67.18259 · DOI
  32. Hair J.F. Risher J. Sarstedt M. Ringle C.M. When to use and how to report the results of PLS-SEM European Business Review 31 1 2018 2 24
  33. Hallinger P. Analyzing the intellectual structure of the Knowledge base on managing for sustainability, 1982–2019: A meta-analysis Sustainable Development 28 5 2020 1493 1506 10.1002/sd.2071 · DOI
  34. Hair J.F. Jr. Hult G.T.M. Ringle C. Sarstedt M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 2016 Sage Publications London
  35. Handfield R.B. Graham G. Burns L. Corona virus, tariffs, trade wars and supply chain evolutionary design International Journal of Operations and Production Management. 40 10 2020 1649 1660 10.1108/IJOPM-03-2020-0171 · DOI
  36. Kache F. Seuring S. Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management International Journal of Operations & Production Management 37 1 2017 10 36 10.1108/IJOPM-02-2015-0078 · DOI
  37. Kalaitzi D. Matopoulos A. Bourlakis M. Tate W.L. Supply chain strategies in an era of natural resource scarcity International Journal of Operations & Production Management 38 3 2017 784 809 10.1108/IJOPM-05-2017-0309 · DOI
  38. Kale P. Singh H. Perlmutter H. Learning and protection of proprietary assets in strategic alliances: Building relational capital Strategic Management 21 3 2000 217 237 10.1002/(SICI)1097-0266(200003)21:33.3.CO;2-P · DOI
  39. Ketchen D.J. Hult G.T.M. Bridging organization theory and supply chain management: The case of best value supply chains Journal of Operations Management 25 2 2007 573 580 10.1016/j.jom.2006.05.010 · DOI
  40. Koot M. Mes M.R. Iacob M.E. A Systematic Literature Review of Supply Chain Decision Making supported by the Internet of Things and Big Data Analytics Computers & Industrial Engineering 154 4 2020 107076
  41. Kraus S. Clauss T. Breier M. Gast J. Zardini A. Tiberius V. The economics of COVID-19: Initial empirical evidence on how family firms in five European countries cope with the corona crisis International Journal of Entrepreneurial Behavior & Research 26 5 2020 1067 1092 10.1108/IJEBR-04-2020-0214 · DOI
  42. Kumar A. Sharma K. Singh H. Naugriya S.G. Gill S.S. Buyya R. A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic Future Generation Computer Systems 115 2020 1 19 10.1016/j.future. 2020.08.046 32895585 PMC7467876 · DOI
  43. Le P.B. Lei H. The mediating role of trust in stimulating the relationship between transformational leadership and knowledge sharing processes Journal of Knowledge Management 22 3 2018 521 537 10.1108/JKM-10-2016-0463 · DOI
  44. Li G. Yang H. Sun L. Sohal A.S. The impact of IT implementation on supply chain integration and performance International Journal of Production Economics 120 1 2009 125 138 10.1016/j.ijpe.2008.07.017 · DOI
  45. Lukić J. Radenković M. Despotović-Zrakić M. Supply chain intelligence for electricity markets: A smart grid perspective Information Systems Frontiers 19 2017 91 107 10.1007/s10796-015-9592-z · DOI
  46. Malhotra N.K. Basic marketing research. Pearson new international edition 4th ed. 2014 Pearson Education Limited Essex, UK
  47. Manavalan E. Jayakrishna K. A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements Computers & Industrial Engineering 127 1 2019 925 953
  48. Massey C. Cameron A. Cheyne J. Harris C. Tweed D. Wallace C. Warriner V. Speaking Up: Stories of Growth in Small & Medium Enterprises in New Zealand. 2004 10.1191/0969733005ne800oa · DOI
  49. Mishra D. Sharma R.R.K. Kumar S. Dubey R. Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance International Journal of Production Economics 180 2016 183 197 10.1016/j.ijpe.2016.08.005 · DOI
  50. Mofokeng T.M. Chinomona R. Supply chain partnership, supply chain collaboration and supply chain integration as the antecedents of supply chain performance South African Journal of Business Management 50 1 2019 1 10 10.4102/sajbm.v50i1.193 · DOI
  51. Nandi S. Sarkis J. Hervani A.A. Helms M.M. Redesigning supply chains using blockchain-enabled circular economy and COVID-19 experiences Sustainable Production and Consumption. 27 2021 10 22 10.1016/j.spc.2020.10.019 33102671 PMC7566799 · DOI
  52. Napoleone A. Macchi M. Pozzetti A. A review on the characteristics of cyber-physical systems for the future smart factories Journal of manufacturing systems 54 1 2020 305 335
  53. Nath V. Agrawal R. Agility and lean practices as antecedents of supply chain social sustainability International Journal of Operations and Production Management. 40 10 2020 1589 1611 10.1108/IJOPM-09-2019-0642 · DOI
  54. Panahifar F. Byrne P.J. Salam M.A. Heavey C. Supply chain collaboration and firm’s performance: The critical role of information sharing and trust Journal of Enterprise Information Management. 31 3 2018 358 379 10.1108/JEIM-08-2017-0114 · DOI
  55. Pang Z. Chen Q. Han W. Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion Information Systems Frontiers 17 2015 289 319 10.1007/s10796-012-9374-9 · DOI
  56. Park C. Emergence of Inter-organizational Collaboration Networks: Relational Capability Perspective Journal of the Korean Operations Research and Management Science Society 40 2015 1 18 10.7737/JKORMS.2015.40.4.001 · DOI
  57. Paulraj A. Lado A.A. Chen I.J. Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships Journal of Operations Management 26 1 2008 45 64 10.1016/j.jom.2007.04.001 · DOI
  58. Peter N. Contingency Theory. Leadership: Theory and practice 2007 SAGE Publishing Thousand Oaks 74 87
  59. Piccialli F. di Cola V. Giampaolo F. The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic Information Systems Frontiers, In Press. 2021 10.1007/s10796-021-10131-x PMC8072097 33935585 · DOI
  60. Prasad S. Su H.-C. Altay N. Tata J. Building disaster-resilient micro enterprises in the developing world Disasters 39 3 2015 447 466 10.1111/disa.12117 25546436 · DOI
  61. Pratono A.H. Strategic orientation and information technological turbulence: Contingency perspective in SMEs Business Process Management Journal 22 2 2016 368 382 10.1108/BPMJ-05-2015-0066 · DOI
  62. Richter N.F. Sinkovics R. Ringle C.M. Schlägel C. A critical look at the use of SEM in international business research International Marketing Review 33 3 2016 376 404
  63. Ringle C.M. Sarstedt M. Gain more insight from your PLS-SEM results: The importance-performance map analysis Industrial Management & Data Systems 116 9 2016 1865 1886 10.1108/IMDS-10-2015-0449 · DOI
  64. Saberi S. Kouhizadeh M. Sarkis J. Shen L. Blockchain technology and its relationships to sustainable supply chain management International Journal of Production Research. 57 7 2019 2117 2135 10.1080/00207543.2018.1533261 · DOI · Paper page
  65. Saleem H. Li Y. Ali Z. Ayyoub M. Wang Y. Mehreen A. Big data use and its outcomes in supply chain context: The roles of information sharing and technological innovation Journal of Enterprise Information Management 34 4 2021 1121 1143 10.1108/JEIM-03-2020-0119 · DOI
  66. Samantha G. The Impact of Natural Disasters on Micro, Small and Medium Enterprises (MSMEs): A Case Study on 2016 Flood Event in Western Sri Lanka Procedia Engineering 212 2018 744 751 10.1016/j.proeng.2018.01.096 · DOI
  67. Sarkis J. Supply chain sustainability: Learning from the COVID-19 pandemic International Journal of Operations & Production Management 41 1 2020 63 73 10.1108/IJOPM-08-2020-0568 · DOI
  68. Schlittgen R. Ringle C.M. Sarstedt M. Becker J.-M. Segmentation of PLS Path Models by Iterative Reweighted Regressions Journal of Business Research 69 10 2016 4583 4592 10.1016/j.jbusres.2016.04.009 · DOI
  69. Shafi, M., Zoya, Lei, Z., Song, X. & Sarker, M. N. I. (2020). The effects of transformational leadership on employee creativity: Moderating role of intrinsic motivation. Asia Pacific Management Review. 25(3), 166-176. https://doi.org/10.1016/j.apmrv.2019.12.002. · DOI
  70. Sharma R. Shishodia A. Kamble S. Gunasekaran A. Belhadi A. Agriculture supply chain risks and COVID-19: Mitigation strategies and implications for the practitioners International Journal of Logistics Research and Applications. In Press. 2020 10.1080/13675567.2020.1830049 · DOI
  71. Smart P. Hemel S. Lettice F. Adams R. Evans S. Pre-paradigmatic status of industrial sustainability: A systematic review International Journal of Operations and Production Management 37 10 2017 1425 1450 10.1108/IJOPM-02-2016-0058 · DOI
  72. Spreitzer G.M. Cameron L. Garrett L. Alternative work arrangements: Two images of the new world of work Annual Review of Organizational Psychology and Organizational Behavior 4 2017 473 499
  73. Stieglitz S. Mirbabaie M. Ross B. Neuberger C. Social media analytics – Challenges in topic discovery, data collection, and data preparation International Journal of Information Management 39 2019 156 168 10.1016/j.ijinfomgt.2017.12.002 · DOI
  74. Stone M. Cross validatory choice and assessment of statistical predictions Journal of the Royal Statistical Society 36 2 1974 111 147
  75. Tan K.H. Wong W.P. Chung L. Information and Knowledge Leakage in Supply Chain Information Systems Frontiers 18 2016 621 638 10.1007/s10796-015-9553-6 · DOI
  76. Teece D. Pisano G. Shuen A. Dynamic Capabilities and Strategic Management Strategic Management Journal 18 7 1997 509 533
  77. Thakur R. Angriawan A. Summey J.H. Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness Journal of Business Research 69 8 2016 2764 2773
  78. van Hoek R. Exploring blockchain implementation in the supply chain International Journal of Operations and Production Management 39 6/7/8 2019 829 859 10.1108/IJOPM-01-2019-0022 · DOI
  79. Voorhees C.M. Brady M.K. Calantone R. Ramirez E. Discriminant validity testing in marketing: An analysis, causes for concern, and proposed remedies Journal of the Academy of Marketing Science 44 2016 119 134
  80. Williams S. Schaefer A. Small and Medium-Sized Enterprises and Sustainability: Managers' Values and Engagement with Environmental and Climate Change Issues Business Strategy and the Environment 22 3 2013 173 186 10.1002/bse.1740 · DOI
  81. Wittmann C.M. Hunt S.D. Arnett D.B. Explaining alliance success: Competences, resources, relational factors, and resource-advantage theory Industrial Marketing Management 38 7 2009 743 756 10.1016/j.indmarman.2008.02.007 · DOI
  82. Wooldridge J.M. Econometric Analysis of Cross Section and Panel Data 2002 MIT Press USA
  83. Wu L. Chuang C.H. Hsu C.H. Information sharing and collaborative behaviors in enabling supply chain performance: A social exchange perspective International Journal of Production Economics 148 2014 122 132 10.1016/j.ijpe.2013.09.016 · DOI
  84. Zhang M. Zhao X. Lyles M. Effects of absorptive capacity, trust and information systems on product innovation International Journal of Operations and Production Management 38 2 2018 493 512 10.1108/IJOPM-11-2015-0687 · DOI
  85. Zhang X. Yu Y. Zhang N. Sustainable supply chain management under big data: A bibliometric analysis Journal of Enterprise Information Management 34 1 2020 427 445 10.1108/JEIM-12-2019-0381 · DOI
  86. Zhu X.N. Peko G. Sundaram D. Blockchain-Based Agile Supply Chain Framework with IoT Information Systems Frontiers, In Press. 2021 10.1007/s10796-021-10114-y · DOI
  87. Zhu Y.-Q. Kindarto A. A garbage can model of government IT project failures in developing countries: The effects of leadership, decision structure and team competence Government Information Quarterly 33 4 2016 629 637 10.1016/j.giq.2016.08. 002 · DOI
  88. Zimon D. Madzík P. Standardized management systems and risk management in the supply chain International Journal of Quality & Reliability Management 37 2 2019 305 327 10.1108/IJQRM-04-2019-0121 · DOI
  89. Zonta T. da Costa C.A. da Rosa Righi R. de Lima M.J. da Trindade E.S. Li G.P. Predictive maintenance in the industry 4.0: A systematic literature review Computers & Industrial Engineering 150 12 2020 106 131

Cited by

Sorted by citations

Authors
Chatterjee, S., Chaudhuri, R., Shah, M., & Maheshwari, P.
Affiliations
  • Indian Institute of Technology Kharagpur (IN)
  • Indian Institute of Management Mumbai (IN)
  • Newcastle University (GB)
Corresponding author
Chaudhuri, Ranjan
ORCID
Venue
Computers & Industrial Engineering
Publisher
Elsevier BV
Published
2022-06
Volume
168
Pages
108058
ISSN
0360-8352 (ISSN-L)
DOI
10.1016/j.cie.2022.108058
PMC
PMC9758005
OpenAlex
W4214859214
Cited by
159
References
7
Citations by year
2026: 16 · 2025: 37 · 2024: 35 · 2023: 53 · 2022: 18
FWCI
29.90
Type
journal article
Language
en
Open access
Licence
Locations
  • Computers & Industrial Engineering (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
small and medium-sized enterprises, supply chain management, supply chain capabilities, SME performance, technological capabilities, post-pandemic, moderating effect, resource-based view, dynamic capabilities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review