Article Open Access

Information Technology Challenges: Developments and Potential Impact on Socio Economics in the Next Two Decades

Irman Amri, Ika Safitri Windiarti

Abstract


This study aims to analyze the challenges, developments, and potential impacts of information technology (IT) on socio-economic aspects in the next two decades. Using the Systematic Literature Review (SLR) method that follows PRISMA guidelines, this study examines scientific articles from the Scopus database over the past two decades. The results of the study show that technological developments such as artificial intelligence (AI), big data, Internet of Things (IoT), and digitalization have brought significant changes in various sectors, increasing efficiency, productivity, and innovation. Projections for the next two decades indicate that this trend will continue and evolve, with a major impact on the job market, productivity, quality of life, privacy, and social interaction. The study's conclusions emphasize the need to invest in education and skills training to cope with job market changes, as well as the implementation of strict regulations to protect data privacy and security. Research recommendations include increased collaboration between the public and private sectors, equitable development of digital infrastructure, and public education on the healthy use of technology. Thus, this study provides comprehensive insights to optimize the benefits of information technology while anticipating and overcoming its negative impacts.


Keywords


Future Trend Research, Impact of Information Technology, Research Gaps, Methodologies, Interdisciplinary Approaches

References


P. Gwynne, “Assessing the Impact of Information Technology,” Res. Manag., vol. 60, p. 2, 2017, [Online]. Available: https://api.semanticscholar.org/CorpusID:158519082

P. C. Palvia, N. Baqir, and H. R. Nemati, “ICT for socio-economic development: A citizens’ perspective,” Inf. Manag., vol. 55, pp. 160–176, 2017, [Online]. Available: https://api.semanticscholar.org/CorpusID:3650277

M. Husein, J. R. Rajagukguk, and K. E. Putranto, “The Role of Artificial Intelligence in Improving the Efficiency of the Company’s Supply Chain,” Int. J. Eng. Sci. Inf. Technol., vol. 4, no. 4, pp. 156–172, Oct. 2024, doi: 10.52088/ijesty.v4i4.596.

N. Roztocki and H. R. Weistroffer, “Conceptualizing and Researching the Adoption of ICT and the Impact on Socioeconomic Development,” Inf. Technol. Dev., vol. 22, pp. 541–549, 2016, [Online]. Available: https://api.semanticscholar.org/CorpusID:42826221

B. Lin, Z. Jia, and M. Song, “Economic Impact of Information Industry Development and Investment Strategy for Information Industry,” J. Glob. Inf. Manag., vol. 29, pp. 22–43, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:230566168

Z. Wang and X. Wang, “Carbon Productivity Improvement for Manufacturing Based on AI,” 2023 Int. Conf. Distrib. Comput. Electr. Circuits Electron., pp. 1–6, 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:259218044

G. Damioli, V. Van Roy, and D. Vértesy, “The impact of artificial intelligence on labor productivity,” Eurasian Bus. Rev., vol. 11, pp. 1–25, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:231667978

Q. Liu, H. Wan, and H. Yu, “Application and Influence of Big data Analysis in Marketing Strategy,” Front. Business, Econ. Manag., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:259307366

H. C. Monga, “ROLE OF INFORMATION AND TECHNOLOGY IN MODERN TIMES,” J. Emerg. Technol. Innov. Res., 2018, [Online]. Available: https://api.semanticscholar.org/CorpusID:187099156

A. Oboznaya, “ROLE OF MODERN INFORMATION TECHNOLOGY IN THE BANK SECTOR COMPETITIVENESS PROMOTION,” 2016. [Online]. Available: https://api.semanticscholar.org/CorpusID:168365436

S. Sutrisno, A. D. Kuraesin, S. Siminto, I. Irawansyah, and A. M. A. Ausat, “The Role of Information Technology in Driving Innovation and Entrepreneurial Business Growth,” J. Minfo Polgan, 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:261164412

P. Raja, D. S. S. Kumar, D. S. Yadav, and D. T. Singh, “Integrating IOT and AI: Enhancing System Efficiency and User Experience,” Int. J. Inf. Technol. Comput. Eng., 2022, [Online]. Available: https://api.semanticscholar.org/CorpusID:257935812

S. Singh, A. Gupta, and A. Shukla, “Optimizing Supply Chain through Internet of Things (IoT) and Artificial Intelligence (AI),” 2021 Int. Conf. Technol. Adv. Innov., pp. 257–263, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:245935445

N. K. Trivedi, R. G. Tiwari, A. K. Jain, V. Sharma, and V. Gautam, “Impact Analysis of Integrating AI, IoT, Big Data, and Blockchain Technologies: A Comprehensive Study,” 2023 3rd Asian Conf. Innov. Technol., pp. 1–6, 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:263837293

A. Latif, R. Fairdous, R. Akhtar, and M. Ambreen, “Exploring the Impact of Big Data Analytics on Organizational Decision-Making and Performance: Insights from Pakistan’s Industrial Sector,” Pakistan J. Humanit. Soc. Sci., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:259517065

N. Kshetri, “Blockchain’s roles in strengthening cybersecurity and protecting privacy,” Telecomm. Policy, vol. 41, pp. 1027–1038, 2017, [Online]. Available: https://api.semanticscholar.org/CorpusID:158630807

M. H. Sazu and S. A. Jahan, “Impact of blockchain-enabled analytics as a tool to revolutionize the banking industry,” Data Sci. Financ. Econ., 2022, [Online]. Available: https://api.semanticscholar.org/CorpusID:251853658

L. Wang and C. A. Alexander, “Big Data in Medical Applications and Health Care,” Curr. Res. Med., vol. 6, pp. 1–8, 2015, [Online]. Available: https://api.semanticscholar.org/CorpusID:34632911

A. Kravchenko, “THE PRACTICAL SIDE OF IOT IMPLEMENTATION IN SMART CITIES,” Proc. Int. Conf. ICT, Soc. Hum. Beings 2019; Connect. Smart Cities 2019; Web Based Communities Soc. Media 2019, 2019, [Online]. Available: https://api.semanticscholar.org/CorpusID:202790381

S. E. Dilmaghani, M. R. Brust, G. Danoy, N. Cassagnes, J. E. Pecero, and P. Bouvry, “Privacy and Security of Big Data in AI Systems: A Research and Standards Perspective,” 2019 IEEE Int. Conf. Big Data (Big Data), pp. 5737–5743, 2019, [Online]. Available: https://api.semanticscholar.org/CorpusID:211297866

S. V. Bharathi, “Prioritizing and Ranking the Big Data Information Security Risk Spectrum,” Glob. J. Flex. Syst. Manag., vol. 18, pp. 183–201, 2017, [Online]. Available: https://api.semanticscholar.org/CorpusID:168999799

H. Bala and V. Venkatesh, “Adaptation to Information Technology: A Holistic Nomological Network from Implementation to Job Outcomes,” Manag. Sci., vol. 62, pp. 156–179, 2015, [Online]. Available: https://api.semanticscholar.org/CorpusID:13742617

M. Q. Huda, N. A. Hidayah, and M. C. Utami, “Exploring the organizational factor contributing to effective IT implementation,” 2017 5th Int. Conf. Cyber IT Serv. Manag., pp. 1–5, 2017, [Online]. Available: https://api.semanticscholar.org/CorpusID:30935317

M. J. Page, D. Moher, and J. E. McKenzie, “Introduction to PRISMA 2020 and implications for research synthesis methodologists,” Res. Synth. Methods, vol. 13, pp. 156–163, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:239766620

J. F. Burnham, “Scopus database: a review,” Biomed. Digit. Libr., vol. 3, p. 1, 2006, [Online]. Available: https://api.semanticscholar.org/CorpusID:52819730

J. Liu, J. Lee, and R. Zhou, “Review of big-data and AI application in typhoon-related disaster risk early warning in Typhoon Committee region,” Trop. Cyclone Res. Rev., vol. 12, no. 4, pp. 341–353, 2023, doi: 10.1016/j.tcrr.2023.12.004.

O. Pilipczuk, “Toward cognitive management accounting,” Sustain., vol. 12, no. 12, 2020, doi: 10.3390/su12125108.

W. Yuspin and A. Fauzie, “Good Corporate Governance In Sharia Fintech: Challenges and Opportunities In The Digital Era,” Qual. - Access to Success, vol. 24, no. 196, pp. 221–229, 2023, doi: 10.47750/QAS/24.196.28.

Z. Wan, Z. Gao, M. Di Renzo, and L. Hanzo, “The Road to Industry 4.0 and Beyond: A Communications-, Information-, and Operation Technology Collaboration Perspective,” IEEE Netw., vol. 36, no. 6, pp. 157–164, 2022, doi: 10.1109/MNET.008.2100484.

H. Lv, B. Shi, N. Li, and R. Kang, “Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China,” Int. J. Environ. Res. Public Health, vol. 19, no. 23, 2022, doi: 10.3390/ijerph192315538.

A. B. Almarsdottir and Z. U. D. Babar, “Future methods in pharmacy practice research,” Int. J. Clin. Pharm., vol. 38, no. 3, pp. 724–730, 2016, doi: 10.1007/s11096-016-0300-y.

H. Papadopoulos, D. Pappa, and L. Gortzis, “A framework for dealing with legal and clinical risks arising from the use of m-health systems,” J. Inf. Technol. Healthc., vol. 5, no. 3, pp. 182–195, 2007, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547856636&partnerID=40&md5=7f602d1301c9cfdedb5fbe591ae32cde

O. Ratib, A. Rosset, and J. Heuberger, “Open Source software and social networks: Disruptive alternatives for medical imaging,” Eur. J. Radiol., vol. 78, no. 2, pp. 259–265, 2011, doi: 10.1016/j.ejrad.2010.05.004.

A. Koehler and C. Som, “Effects of pervasive computing on sustainable development,” IEEE Technol. Soc. Mag., vol. 24, no. 1, pp. 15–23, 2005, doi: 10.1109/MTAS.2005.1407743.

G. Muncinelli, E. P. De Lima, J. M. A. P. Cestari, F. Deschamps, and S. E. G. Da Costa, “Developing a conceptual model for process capability in the brazilian data protection regulation context,” J. Ind. Integr. Manag., vol. 6, no. 4, pp. 407–427, 2021, doi: 10.1142/S2424862221400017.

S.-C. Lo and H.-H. Tsai, “Design of 3D Virtual Reality in the Metaverse for Environmental Conservation Education Based on Cognitive Theory,” Sensors, vol. 22, no. 21, 2022, doi: 10.3390/s22218329.

V. S. Bharathi and M. S. Kulkarni, “Competition in Monopoly: Teaching-Learning Process of Financial Statement Analysis to Information Technology Management Students,” Int. J. Inf. Commun. Technol. Educ., vol. 16, no. 3, pp. 70–91, 2020, doi: 10.4018/IJICTE.2020070106.

K. L. Hillenburg, R. A. Cederberg, S. A. Gray, C. L. Hurst, G. K. Johnson, and B. J. Potter, “E-learning and the future of dental education: Opinions of administrators and information technology specialists,” Eur. J. Dent. Educ., vol. 10, no. 3, pp. 169–177, 2006, doi: 10.1111/j.1600-0579.2006.00413.x.

T. Brahimi and A. Sarirete, “Learning outside the classroom through MOOCs,” Comput. Human Behav., vol. 51, pp. 604–609, 2015, doi: 10.1016/j.chb.2015.03.013.

L. Nelson, L. Sadler, and G. Surtees, “Bringing problem based learning to life using virtual reality,” Nurse Educ. Pract., vol. 5, no. 2, pp. 103–108, 2005, doi: 10.1016/j.nepr.2004.05.001.

M. Ucar and R. G. Qiu, “E-maintenance in support of E-automated manufacturing systems,” J. Chinese Inst. Ind. Eng., vol. 22, no. 1, pp. 1–10, 2005, doi: 10.1080/10170660509509271.

M. Zarour et al., “Evaluating the impact of blockchain models for secure and trustworthy electronic healthcare records,” IEEE Access, vol. 8, pp. 157959–157973, 2020, doi: 10.1109/ACCESS.2020.3019829.

D. Liu and S. Zeinaly, “A new model for investigating the role of IT-based innovation in the pharmaceutical knowledge-sharing attitude: A study of marketing biotechnology firms,” Kybernetes, 2020, doi: 10.1108/K-07-2019-0505.

S. Nivzeti?, P. vSoli?, D. L.-I. González-de-Artaza, and L. Patrono, “Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future,” J. Clean. Prod., vol. 274, p. 122877, 2020, [Online]. Available: https://api.semanticscholar.org/CorpusID:220627902

R. H. Weber, “The digital future - A challenge for privacy?,” Comput. Law Secur. Rev., vol. 31, pp. 234–242, 2015, [Online]. Available: https://api.semanticscholar.org/CorpusID:62657748

M. Paliwal, M. Patel, N. Kandale, and N. Anute, “Impact of artificial intelligence and machine learning on business operations,” J. Manag. Res. Anal., 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:237841705

P. Cortez and M. F. Santos, “Editorial: Recent Advances on Knowledge Discovery and Business Intelligence,” 2014. [Online]. Available: https://api.semanticscholar.org/CorpusID:267860979

M. Y. Ilchenko, L. Uryvsky, and S. Osypchuk, “World trends of modern information and telecommunication technologies development,” 2019 Int. Conf. Inf. Telecommun. Technol. Radio Electron., pp. 1–7, 2019, [Online]. Available: https://api.semanticscholar.org/CorpusID:221120826

T. Guarda, J. Balseca, K. García, J. A. Gonzalez, F. Yagual, and H. Castillo-Beltran, “Digital Transformation Trends and Innovation,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1099, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:233798328

Q. Jiang-ta, “Problems and Trends in the Development of Electronic Information Technology,” Telecom Power Technol., 2016, [Online]. Available: https://api.semanticscholar.org/CorpusID:112760209

P. A. Alabi, “TRENDS IN INFORMATION TECHNOLOGY MANAGEMENT,” Int. J. Innov. Educ. Res., 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:234054551

J. T. McAllister, L. Lennertz, and Z. A. Mojica, “Mapping A Discipline: A Guide to Using VOSviewer for Bibliometric and Visual Analysis,” Sci. Technol. Libr., vol. 41, pp. 319–348, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:245392468

H. Herlina, A. Arismunandar, and I. Tolla, “Education Character in the Era of Globalization: Facing the Challenges of the Modern World,” Int. J. Eng. Sci. Inf. Technol., vol. 4, no. 4, pp. 230–236, Nov. 2024, doi: 10.52088/ijesty.v4i4.649.

A. Holzinger, P. Kieseberg, E. R. Weippl, and A. M. Tjoa, “Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI,” in International Cross-Domain Conference on Machine Learning and Knowledge Extraction, 2018. [Online]. Available: https://api.semanticscholar.org/CorpusID:52078631

A. V Joshi, “Emerging Trends in Machine Learning,” Mach. Learn. Artif. Intell., 2019, [Online]. Available: https://api.semanticscholar.org/CorpusID:204084899

A. A. Jaafar, K. H. Sharif, M. I. Ghareb, and D. N. A. Jawawi, “Internet of Thing and Smart City: State of the Art and Future Trends,” 2019. [Online]. Available: https://api.semanticscholar.org/CorpusID:170019968

A. H. Alavi, P. Jiao, W. G. Buttlar, and N. Lajnef, “Internet of Things-enabled smart cities: State-of-the-art and future trends,” Measurement, 2018, [Online]. Available: https://api.semanticscholar.org/CorpusID:115674943

K. Zaichenko, “DIGITALIZATION OF ECONOMIES AND SOCIETY: GLOBAL TRENDS,” Actual Probl. Econ., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:265316187

J. M. Leimeister and I. Blohm, “Digitalization and the Future of Work,” Die Unternehmung, 2022, [Online]. Available: https://api.semanticscholar.org/CorpusID:247504901

A. Cuzzocrea, “Privacy and Security of Big Data: Current Challenges and Future Research Perspectives,” in PSBD ’14, 2014. [Online]. Available: https://api.semanticscholar.org/CorpusID:6015333

E. Bertino, “Data Security and Privacy: Concepts, Approaches, and Research Directions,” 2016 IEEE 40th Annu. Comput. Softw. Appl. Conf., vol. 1, pp. 400–407, 2016, [Online]. Available: https://api.semanticscholar.org/CorpusID:206575207

M. Mitchell and L. Kan, “Digital Technology and the Future of Health Systems,” Heal. Syst. & Reform, vol. 5, pp. 113–120, 2019, [Online]. Available: https://api.semanticscholar.org/CorpusID:85515372

D. Bates, K. M. Cresswell, A. Wright, and A. Sheikh, “The Future of Medical Informatics,” 2017. [Online]. Available: https://api.semanticscholar.org/CorpusID:79798110

A. Santhosh, risya Unnikrishnan, S. Shibu, K. M. Meenakshi, and G. Joseph, “AI IMPACT ON JOB AUTOMATION,” Int. J. Eng. Technol. Manag. Sci., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:261502699

A. Ajithkumar, A. David, A. Jacob, A. Alex, and F. R. A. T. CMI, “Impact of AI on Employment and Job Opportunities,” Int. J. Eng. Technol. Manag. Sci., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:261594339

G. Rickardo and S. Meiriele, “Artificial intelligence: Its impact on employability,” World J. Adv. Res. Rev., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:259817906

G. Zhou, G. Chu, L. Li, and L. Meng, “The effect of artificial intelligence on China’s labor market,” China Econ. J., vol. 13, pp. 24–41, 2019, [Online]. Available: https://api.semanticscholar.org/CorpusID:211441610

L. D. Tyson and J. Zysman, “Automation, AI & Work,” Daedalus, vol. 151, pp. 256–271, 2022, [Online]. Available: https://api.semanticscholar.org/CorpusID:248377885

F. Ferro et al., “Impact of telemedicine on health outcomes in children with medical complexity: an integrative review,” Eur. J. Pediatr., vol. 180, pp. 2389–2400, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:235690975

A. Amadi-Obi, P. Gilligan, N. Owens, and C. O’donnell, “Telemedicine in pre-hospital care: a review of telemedicine applications in the pre-hospital environment,” Int. J. Emerg. Med., vol. 7, p. 29, 2014, [Online]. Available: https://api.semanticscholar.org/CorpusID:507403

O. Potii, Y. Gorbenko, O. Zamula, and K. Isirova, “Analysis of methods for assessing and managing cyber risks and information security,” Radiotekhnika, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:245169700

M. N. Yaacob, S. Z. S. Idrus, and M. Idris, “Managing Cybersecurity Risks in Emerging Technologies,” Int. J. Bus. Technopreneursh., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:264909005

L. Gao, T. G. Calderon, and F. Tang, “Public companies’ cybersecurity risk disclosures,” Int. J. Account. Inf. Syst., vol. 38, p. 100468, 2020, [Online]. Available: https://api.semanticscholar.org/CorpusID:222112126




DOI: https://doi.org/10.52088/ijesty.v5i4.917

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Irman Amri, Ika Safitri Windiarti

International Journal of Engineering, Science, and Information Technology (IJESTY) eISSN 2775-2674