Adam, D. (2006). Royal Society tells Exxon: stop funding climate change denial.The Guardian, https://www. theguardian.com/environment/2006/sep/20/oilandpetrol.business

Ahmad, A., Webb, J., Desouza, K. C., & Boorman, J. (2019). Strategically-motivated advanced persistent threat: Definition, process, tactics and a disinformation model of counterattack. Computers & Security, 86, 402–418

Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211–236

Alnaied, A., Elbendak, M., & Bulbul, A. (2020). An intelligent use of stemmer and morphology analysis for Arabic information retrieval. Egyptian Informatics Journal, 21(4), 209–217

Alqahtani, A., Alnefaie, M., Alamri, N., & Khorsi, A. (2020). Enhancing the capabilities of solr information retrieval system: Arabic language. In 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS) (pp.1–5). IEEE

Awan, U., Kanwal, N., Alawi, S., Huiskonen, J., & Dahanayake, A. (2021). Artificial intelligence for supply chain success in the era of data analytics. Studies in Computational Intelligence, 935, 3–21

Atkin, D., Chaudhry, A., Chaudry, S., Khandelwal, A. K., & Verhoogen, E. (2017). Organizational barriers to technology adoption: Evidence from soccer-ball producers in Pakistan. The Quarterly Journal of Economics, 132(3), 1101–1164

Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial Marketing Management, 92, 178–189

Barns, S. (2017). Trolls show people how to create fake news stories and spread them on Facebook… as curry houses fall victim to false ‘human meat’ claims. The Scottish Sun https://www.thescottishsun.co.uk/living/1077871/trolls-show-people-how-to-create-fake-news-stories-andspread-them-on-facebook-as-curry-houses-fall-victim-to-false-human-meat-claims/

Behl, A., Dutta, P., Luo, Z., & Sheorey, P. (2021). Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach.Annals of Operations Research,1–29

Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2021). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research

Bero, L. A. (2005). Tobacco industry manipulation of research. Public Health Reports, 120(2), 200–208 Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M. (2011). Understanding responses to supply chain disruptions: Insights from information processing and resource dependence perspectives. Academy of Management Journal, 54(4), 833–856

Booth, A., Hamilton, B., & Vintiadis, M. (2019). Fake news, real problems: combating social media disinformation. Global Fraud and Risk Report 2019/20 11th annual edition. https://www.kroll.com/-/media/kroll/pdfs/publications/global-fraud-and-risk-report-2019-20.pdf

Brock, J. K. U., & von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), 110–134

Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding managers’ attitudes and behavioural intentions towards using artificial intelligence for organizational decision-making. Technovation, 106, 102312

Chen, J., Lim, C. P., Tan, K. H., Govindan, K., & Kumar, A. (2021). Artificial intelligence-based humancentric decision support framework: an application to predictive maintenance in asset management under pandemic environments.Annals of Operations Research.1–24

Churchill, F. (2018). Unilever says fake news makes digital supply chain unsustainable. https://www.cips. org/supply-management/news/2018/february/unilever-says-fake-news-makes-digital-supply-chainunsustainable/. Accessed 29 November 2021

Clarke, J., Chen, H., Du, D., & Hu, Y. J. (2020). Fake news, investor attention, and market reaction. Information Systems Research, 32(1), 35–52 Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273–297

Creswell, J. W. (2014). Qualitative, quantitative and mixed methods approaches. Thousand Oaks, CA: Sage Cui, L., Wu, H., Wu, L., Kumar, A., & Tan, K. H. (2022). Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19.Annals of Operations Research,1–29

De Chenecey, S. P. (2018). The post-truth business: How to rebuild brand authenticity in a distrusting world. Kogan Page Publishers

Dearlove, J. V., Bialous, S. A., & Glantz, S. A. (2002). Tobacco industry manipulation of the hospitality industry to maintain smoking in public places. Tobacco Control, 11(2), 94–104

Delcker, J. (2018). The man who invented the self-driving car (in 1986). https://www.politico.eu/article/delfdriving-car-born-1986-ernst-dickmanns-mercedes/. Accessed 26 November 2021

Deng, Z. H., Tang, S. W., Yang, D. Q., Li, M. Z. L. Y., & Xie, K. Q. (2004). A comparative study on feature weight in text categorization. In Asia-Pacific Web Conference (pp.588–597). Springer, Berlin, Heidelberg

Denzin, N. K., & Lincoln, Y. S. (2005). The SAGE Handbook of qualitative research. Thousand Oaks, CA: Sage

Di Domenico, G., & Visentin, M. (2020). Fake news or true lies? Reflections about problematic contents in marketing. International Journal of Market Research, 62(4), 409–417

Di Domenico, G., Sit, J., Ishizaka, A., & Nunan, D. (2021). Fake news, social media and marketing: A systematic review. Journal of Business Research, 124, 329–341

Dogan, T., & Uysal, A. K. (2019). On term frequency factor in supervised term weighting schemes for text classification. Arabian Journal for Science and Engineering, 44(11), 9545–9560

Dolgui, A., & Ivanov, D. (2021). Ripple effect and supply chain disruption management: new trends and research directions. International Journal of Production Research, 59(1), 102–109

Dubey, R., Bryde, D. J., Blome, C., Roubaud, D., & Giannakis, M. (2021). Facilitating artificial intelligencepowered supply chain analytics through alliance management during the pandemic crises in the B2B context. Industrial Marketing Management, 96, 135–146

Dwivedi, Y. K., Kelly, G., Janssen, M., Rana, N. P., Slade, E. L., & Clement, M. (2018). Social media: The good, the bad, and the ugly. Information Systems Frontiers, 20(3), 419–423

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo,

J., Tran, G. A., & Wang, Y. (2020). Setting the future of digital and social media marketing research: Perspectives and research propositions.International Journal of Information Management, 102168

Edwards, A., Webb, H., Housley, W., Beneito-Montagut, R., Procter, R., & Jirotka, M. (2021). Forecasting the governance of harmful social media communications: Findings from the digital wildfire policy Delphi. Policing and Society, 31(1), 1–19

Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550

Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25–32

Endsley, M. R. (2018). Combating information attacks in the age of the Internet: new challenges for cognitive engineering. Human factors, 60(8), 1081–1094

EverStream (2020). COVID-19: The future of supply chain. Retrieved from https://www.everstream.ai/ risk-center/special-reports/covid-19-the-future-of-supply-chain/

Farrokhi, A., Shirazi, F., Hajli, N., & Tajvidi, M. (2020). Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence. Industrial Marketing Management, 91, 257–273