This article seeks to conduct a bibliometric analysis focusing on exponential technologies such as big data, internet of thing (IoT), artificial intelligence (AI), blockchain and cloud computing. It aims to outline research trends in this domain and explore their correlation with resilience. The study aims to track the evolution of research trends in this field over time and identify less explored dimensions of exponential technologies. Leveraging performance analysis and science mapping techniques, the paper highlights the significant growth and potential in these areas, considering them as pivotal agendas of the twenty-first century. By examining scientific productivity metrics such as publications, authors, institutions, countries and keywords, the article offers insights into emerging areas within exponential technologies. As the first comprehensive study of its kind, it provides a broad overview of the main trends and patterns in resilience research encompassing big data, IoT, AI, blockchain and cloud computing, consolidating them into a single cohesive narrative.
AroraM. (2016). Creative dimensions of entrepreneurship: A key to business innovation. Pacific Business Review International, 1(1), 255–259.
2.
AroraM. (2020). Post-truth and marketing communication in technological age. InHandbook of research on innovations in technology and marketing for the connected consumer (pp. 94–108). IGI Global.
3.
AroraM., & SharmaR. L. (2021). Repurposing the role of entrepreneurs in the havoc of COVID-19. InEntrepreneurship and Big Data (pp. 229–250). CRC Press.
4.
AroraM., & SharmaR. L. (2022a). Coalescing skills of gig players and fervor of entrepreneurial leaders to provide resilience strategies during global economic crises. InCOVID-19’s impact on the cryptocurrency market and the digital economy (pp. 118–140). IGI Global.
5.
AroraM., & SharmaR. L. (2022b). Integrating gig economy and social media platforms as a business strategy in the era of digitalization. Inintegrated business models in the digital age: Principles and practices of technology empowered strategies (pp. 67–86). Springer International Publishing.
6.
AroraM., & SharmaR. L. (2023). Artificial intelligence and big data: Ontological and communicative perspectives in multi-sectoral scenarios of modern businesses. Foresight, 25(1), 126–143.
7.
AroraM., KumarJ., & ValeriM. (2023). Crises and resilience in the age of digitalization: Perspectivations of past, present and future for tourism industry. InTourism innovation in the digital era (pp. 57–74). Emerald Publishing Limited.
8.
AroraM., & SinghS. (2018). Microfinance, women empowerment, and transformational leadership: A study of Himachal Pradesh. International Journal on Leadership, 6(2), 23.
9.
BaberR., UpadhyayY., BaberP., & KauravR. P. S. (2023). Three decades of consumer ethnocentrism research: A bibliometric analysis. Business Perspectives and Research, 11(1), 137–158.
10.
BartolT., BudimirG., Dekleva-SmrekarD., PusnikM., & JuznicP. (2014). Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia. Scientometrics, 98, 1491–1504.
11.
BelhadiA., KambleS., JabbourC. J. C., GunasekaranA., NdubisiN. O., & VenkateshM. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163, 120447.
12.
BroadusR. N. (1987). Toward a definition of ‘bibliometrics’. Scientometrics, 12, 373–379.
13.
BrooD. G., & SchoolingJ. (2021). Digital twins in infrastructure: Definitions, current practices, challenges and strategies. International Journal of Construction Management, 23(7), 1254–1263.
14.
BurnardK., & BhamraR. (2011). Organisational resilience: Development of a conceptual framework for organisational responses. International Journal of Production Research, 49(18), 5581–5599.
15.
CarayannisE. G., GrigoroudisE., Del GiudiceM., Della PerutaM. R., & SindakisS. (2017). An exploration of contemporary organizational artifacts and routines in a sustainable excellence context. Journal of Knowledge Management, 21(1), 35–56.
16.
DhimanV., & AroraM. (2024a). Exploring the linkage between business incubation and entrepreneurship: Understanding trends, themes and future research agenda. LBS Journal of Management & Research. https://doi.org/10.1108/LBSJMR-06-2023-0021
17.
DhimanV., & AroraM. (2024b). How foresight has evolved since 1999? Understanding its themes, scope and focus. Foresight, 26(2), 253–271. https://doi.org/10.1108/FS-01-2023-0001
18.
DonthuN., KumarS., & PattnaikD. (2020).Forty-five years of Journal of Business Research: A bibliometric analysis. Journal of Business Research, 109, 1–14.
19.
Durán-SánchezA., Del RíoM. D. L. C., Álvarez-GarcíaJ., & García-VélezD. F. (2019). Mapping of scientific coverage on education for entrepreneurship in higher education. Journal of Enterprising Communities: People and Places in the Global Economy, 13(1/2), 84–104.
20.
GkypaliA., KokkinosV., BourasC., & TsekourasK. (2016). Science parks and regional innovation performance in fiscal austerity era: Less is more?Small Business Economics, 47, 313–330.
21.
GolanM. S., TrumpB. D., CeganJ. C., & LinkovI. (2021). Supply chain resilience for vaccines: Review of modeling approaches in the context of the COVID-19 pandemic. Industrial Management & Data Systems, 121(7), 1723–1748.
22.
Guerrero-BaenaM. D., Gómez-LimónJ. A., & Fruet CardozoJ. V. (2014). Are multi-criteria decision making techniques useful for solving corporate finance problems? A bibliometric analysis. Revista de Metodos Cuantitativos para la Economia y la Empresa, 17, 60–79.
23.
HeinonenS., KarjalainenJ., RuotsalainenJ., & SteinmüllerK. (2017). Surprise as the new normal–implications for energy security. European Journal of Futures Research, 5, 1–13.
24.
Hizam-HanafiahM., & SoomroM. A. (2021). The situation of technology companies in industry 4.0 and the open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 34.
25.
KauravR. P. S., BaberR., & RajputS. (2020). Technology-driven tourism and hospitality industry as a tool for economic development: A bibliometric analysis. InThe Emerald handbook of ICT in tourism and hospitality (pp. 469–486). Emerald Publishing Limited.
26.
KaushalN., KauravR. P. S., SivathanuB., & KaushikN. (2023). Artificial intelligence and HRM: Identifying future research agenda using systematic literature review and bibliometric analysis. Management Review Quarterly, 73(2), 455–493.
27.
Moral-MuñozJ. A., Herrera-ViedmaE., Santisteban-EspejoA., & CoboM. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la información/Information Professional, 29(1). https://doi.org/10.3145/epi.2020.ene.03
28.
MustaphaI., VanN. T., ShahverdiM., QureshiM. I., & KhanN. (2021). Effectiveness of digital technology in education during COVID-19 pandemic. A bibliometric analysis. International Journal of Interactive Mobile Technologies (iJIM), 15(8), 136–154. https://doi.org/10.3991/ijim.v15i08.2041
29.
PritchardA. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25, 348.
30.
QureshiM. I., AwanU., ArshadZ., RasliA. M., ZamanK., & KhanF. (2016). Dynamic linkages among energy consumption, air pollution, greenhouse gas emissions and agricultural production in Pakistan: Sustainable agriculture key to policy success. Natural Hazards, 84, 367–381.
31.
QureshiM. I., KhanN., QayyumS., MalikS., HishanS. S., & RamayahT. (2020). Classifications of sustainable manufacturing practices in ASEAN region: A systematic review and bibliometric analysis of the past decade of research. Sustainability, 12(21), 8950.
32.
QureshiM. I., KhanN., RazaH., ImranA., & IsmailF. (2021). Digital technologies in education 4.0. Does it enhance the effectiveness of learning?International Journal of Interactive Mobile Technologies (iJIM), 15(4), 31–47.
33.
QureshiM. I., QayyumS., NassaniA. A., AldakhilA. M., AbroM. M. Q., & ZamanK. (2019a). Management of various socio-economic factors under the United Nations sustainable development agenda. Resources Policy, 64, 101515.
34.
QureshiM. I., RasiahR. A. L., Al-GhazaliB. M., HaiderM., JambariH., & IswanSasmoko. (2019b). Modeling work practices under socio-technical systems for sustainable manufacturing performance. Sustainability, 11(16), 4294.
35.
QureshiM. I., RasliA. M., JusohA., KowangT. O., & BahruU. J. (2015). Sustainability: A new manufacturing paradigm. Journal Teknologi, 77(22), 47–53.
36.
QureshiM. I., RasliA. M., & ZamanK. (2016). Energy crisis, greenhouse gas emissions and sectoral growth reforms: Repairing the fabricated mosaic. Journal of Cleaner Production, 112, 3657–3666.
37.
RazakG. M., HendryL. C., & StevensonM. (2021). Supply chain traceability: A review of the benefits and its relationship with supply chain resilience. Production Planning & Control, 34(11), 1114–1134.
38.
Shahatha Al-MashhadaniA. F., QureshiM. I., HishanS. S., Md SaadM. S., VaicondamY., & KhanN. (2021). Towards the development of digital manufacturing ecosystems for sustainable performance: Learning from the past two decades of research. Energies, 14(10), 2945.
39.
SoomroM. A., AliM. H., TanK. H., KumarA., & SinniahS. (2022). Workforce resilience in the post-COVID-19 era: Differences based on manufacturing–service orientation and firm size. Production Planning & Control, 1–13.
40.
SoomroM. A., Hizam-HanafiahM., & AbdullahN. L. (2020). Digital readiness models: A systematic literature review. Compusoft, 9(3), 3596–3605.
41.
SoomroM. A., Hizam-HanafiahM., AbdullahN. L., & JusohM. S. (2021a). Change readiness as a proposed dimension for industry 4.0 readiness models. Logforum, 17(1), 83–96.
42.
SoomroM. A., Hizam-HanafiahM., AbdullahN. L., AliM. H., & JusohM. S. (2021b). Industry 4.0 readiness of technology companies: A pilot study from Malaysia. Administrative Sciences, 11(2), 56.
43.
SoomroM. A., Hizam-HanafiahM., AbdullahN. L., AliM. H., & JusohM. S. (2021c April). Embracing industry 4.0: Empirical insights from Malaysia. Informatics, 8(2), 30.
44.
WeberR. H. (2010). Internet of Things–New security and privacy challenges. Computer Law & Security Review, 26(1), 23–30.
45.
YangJ., & ChengQ. (2020). The impact of organisational resilience on construction project success: Evidence from large-scale construction in China. Journal of Civil Engineering and Management, 26(8), 775–788.
46.
YinW., & RanW. (2022). Supply chain diversification, digital transformation, and supply chain resilience: Configuration analysis based on FSQCA. Sustainability, 14(13), 7690.
47.
YnalvezM. A., & ShrumW. M. (2011). Professional networks, scientific collaboration, and publication productivity in resource-constrained research institutions in a developing country. Research Policy, 40(2), 204–216.
48.
YooD., & RohJ. J. (2021). Value chain creation in business analytics. Journal of Global Information Management (JGIM), 29(4), 131–147.
