The Impact of Artificial Intelligence (AI) for Transforming Tourism Marketing on the USA Industry Practices
Abstract
This study explores the transformative role of Artificial Intelligence (AI) in tourism marketing, highlighting its ability to enhance personalization, operational efficiency, and consumer engagement. The objective is to bridge the gap between theoretical capabilities and practical applications of AI in the USA tourism marketing. The methodology employs a PRISMA-based approach, focusing on recent studies from 2020 onward to analyze AI’s impact on marketing practices. A thorough examination of 389 publications obtained from databases like Scopus, Google Scholar, and Scimago for detailed qualitative analysis. The key contribution of this paper lies in its structural approach, which discuss the potential of various AI tools such as tailored recommendations and AI chatbots etc., offering fresh insights on their influence on the American Tourism Marketing sector. The report presents a framework for assessing the impact of AI on customer satisfaction and productivity, providing pragmatic solutions for tourism enterprises. In near future AI will develop enhancing human critical thinking and converting human cognition capabilities.
Downloads
References
E. M. Alnasser, S. M. Alkhozaim, A. A. Alshiha, and B. S. Al-Romeedy, “The impact of artificial intelligence on the marketing performance of tourism and hospitality businesses: The mediating role of marketing innovation,” in AI Innovations in Service and Tourism Marketing, IGI Global, 2024, pp. 375–396, doi: 10.4018/979-8-3693-7909-7.ch019.
S. Anwer, M. S. Hosen, D. S. Khan, E. O. Folorunso, M. M. H. Melon, and H. Khan, “Revolutionizing the global market: An inclusion of AI—the game changer in international dynamics,” Migration Letters, vol. 21, no. S13, pp. 54–73, 2024.
A. Ashta and H. Herrmann, “Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance,” Strategic Change, vol. 30, pp. 211–222, May 2021, doi: 10.1002/jsc.2404.
A. Baquee, M. S. Rahaman, and R. Sevukan, “A bibliometric review of academic social networking sites (ASNSs) in scholarly communication: A scientific mapping based on Scopus database,” Int. J. Inf. Sci. Manage., vol. 21, pp. 289–309, 2023, doi: 10.22034/ijism.2023.1977938.0.
J. Bareis and C. Katzenbach, “Talking AI into being: The narratives and imaginaries of national AI strategies and their performative politics,” Sci. Technol. Hum. Values, vol. 47, pp. 855–881, Sep. 2022, doi: 10.1177/01622439211030007.
M. R. I. Bhuiyan, “Industry readiness and adaptation of the fourth industrial revolution: Applying the extended TOE framework,” Hum. Behav. Emerg. Technol., vol. 2024, Jan. 2024, doi: 10.1155/hbe2/8830228.
R. Hossain, “Prospective artificial intelligence (AI) applications in university education: Enhancing learning, teaching, and administration through a PRISMA-based systematic review,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 2, 2024, doi: 10.57239/PJLSS-2024-22.2.00694.
Md. M. Rahman et al., “Gravitating towards information society for information security in information systems: A systematic PRISMA-based review,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 1, 2024, doi: 10.57239/pjlss-2024-22.1.0089.
M. R. I. Bhuiyan et al., “Leveraging machine learning for cybersecurity: Techniques, challenges, and future directions,” Edelweiss Appl. Sci. Technol., vol. 8, no. 6, pp. 4291–4307, Nov. 2024, doi: 10.55214/25768484.v8i6.2930.
M. R. I. Bhuiyan et al., “Gravitating the components, technologies, challenges, and government transforming strategies for a smart Bangladesh: A PRISMA-based review,” J. Governance Regul., vol. 13, pp. 177–188, 2024, doi: 10.22495/jgrv13i3art15.
M. R. Bhuiyan, Md. T. Islam, S. M. A. Alam, and N. Sumon, “Identifying passengers' satisfaction in transportation quality: An empirical study in Bangladesh,” PMIS Rev., vol. 2, 2023, doi: 10.56567/pmis.v2i1.10.
M. R. Islam Bhuiyan et al., “Examining the relationship between poverty and juvenile delinquency trends in a developing country,” Acad. J. Interdiscip. Stud., vol. 13, no. 6, p. 255, Nov. 2024, doi: 10.36941/ajis-2024-0193.
M. R. I. Bhuiyan, K. M. S. Uddin, and M. N. U. Milon, “Prospective areas of digital economy: An empirical study in Bangladesh,” Jul. 2023, doi: 10.20944/preprints202307.1652.v1.
S. Bhushan, “The impact of artificial intelligence and machine learning on the global economy and its implications for the hospitality sector in India,” Worldw. Hosp. Tourism Themes, vol. 13, pp. 252–259, 2021, doi: 10.1108/WHATT-09-2020-0116.
M. T. Borges-Tiago, C. Arruda, F. Tiago, and P. Rita, “Differences between TripAdvisor and Booking.com in branding co-creation,” J. Bus. Res., vol. 123, pp. 380–388, Feb. 2021, doi: 10.1016/j.jbusres.2020.09.050.
D. Buhalis and I. Moldavska, “Voice assistants in hospitality: Using artificial intelligence for customer service,” J. Hosp. Tourism Technol., vol. 13, pp. 386–403, Jun. 2022, doi: 10.1108/JHTT-03-2021-0104.
A. Waheed and Q. Zhang, “Effect of CSR and ethical practices on sustainable competitive performance: A case of emerging markets from stakeholder theory perspective,” J. Bus. Ethics, vol. 175, pp. 837–855, Feb. 2022, doi: 10.1007/s10551-020-04679-y.
J. Bulchand-Gidumal, E. W. Secin, P. O’Connor, and D. Buhalis, “Artificial intelligence’s impact on hospitality and tourism marketing: Exploring key themes and addressing challenges,” Curr. Issues Tourism, vol. 27, pp. 2345–2362, 2024, doi: 10.1080/13683500.2023.2229480.
T. Burström, V. Parida, T. Lahti, and J. Wincent, “AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model, and outline for further research,” J. Bus. Res., vol. 127, pp. 85–95, Apr. 2021, doi: 10.1016/j.jbusres.2021.01.016.
Z. Chen, “Beyond boundaries: Exploring the metaverse in tourism,” Int. J. Contemp. Hosp. Manage., 2024, doi: 10.1108/IJCHM-06-2023-0900.
P. Ghose et al., “Mediated and moderating variables between behavioral intentions and actual usages of fintech in the USA and Bangladesh through the extended UTAUT model,” Int. J. Innov. Res. Soc. Sci., vol. 8, no. 2, pp. 113–125, Mar. 2025, doi: 10.53894/ijirss.v8i2.5130.
S. Doğan and İ. Z. Niyet, “Artificial intelligence (AI) in tourism,” in Future Tourism Trends, Vol. 2, Emerald Publ. Ltd., 2024, pp. 3–21, doi: 10.1108/978-1-83753-970-320241001.
Y. K. Dwivedi, E. Ismagilova, N. P. Rana, and R. Raman, “Social media adoption, usage and impact in business-to-business (B2B) context: A state-of-the-art literature review,” Inf. Syst. Front., vol. 25, pp. 971–993, Jun. 2023, doi: 10.1007/s10796-021-10106-y.
Y. K. Dwivedi et al., “‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy,” Int. J. Inf. Manage., vol. 71, Aug. 2023, doi: 10.1016/j.ijinfomgt.2023.102642.
T. Entina, I. Karabulatova, A. Kormishova, M. Ekaterinovskaya, and M. Troyanskaya, “Tourism industry management in the global transformation: Meeting the needs of Generation Z,” Pol. J. Manage. Stud., vol. 23, pp. 130–148, 2021, doi: 10.17512/pjms.2021.23.2.08.
M. R. I. Bhuiyan et al., “Digital transformation in SMEs: Emerging technological tools and technologies for enhancing the SME’s strategies and outcomes,” J. Ecohumanism, vol. 3, no. 4, pp. 211–224, Jul. 2024, doi: 10.62754/joe.v3i4.3594.
T. Car, S. Šuman, and A. Kliman, “Customer booking habits and attitudes towards AI-powered features in online travel agencies,” Int. J. Adv. Comput. Sci. Technol., vol. 13, no. 9, pp. 111–117, Sep. 2024, doi: 10.30534/ijacst/2024/021392024.
U. Eswaran, V. Eswaran, and V. Eswaran, “AI technologies for personalised and sustainable tourism,” 2024, pp. 1–30, doi: 10.4018/979-8-3693-5678-4.ch001.
M. R. Faraji et al., “Examining the role of artificial intelligence in cybersecurity (CS): A systematic review for preventing prospective solutions in financial transactions,” Int. J. Religion, vol. 5, pp. 4766–4782, Jul. 2024, doi: 10.61707/7rfyma13.
A. Gangwal, A. Ansari, I. Ahmad, A. K. Azad, and W. M. A. Wan Sulaiman, “Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review,” Sep. 2024, Elsevier Ltd., doi: 10.1016/j.compbiomed.2024.108734.
H. Xu, Z. Li, Z. Li, X. Zhang, Y. Sun, and L. Zhang, “Metaverse native communication: A blockchain and spectrum prospective,” in Proc. IEEE Int. Conf. Commun. Workshops (ICC Workshops), 2022, pp. 7–12, doi: 10.1109/ICCWorkshops53468.2022.9814538.
S. Gricar, “Tourism forecasting of ‘unpredictable’ future shocks: A literature review by the PRISMA model,” Dec. 2023, Multidiscip. Digit. Publ. Inst. (MDPI), doi: 10.3390/jrfm16120493.
S. Gupta, T. Justy, S. Kamboj, A. Kumar, and E. Kristoffersen, “Big data and firm marketing performance: Findings from knowledge-based view,” Technol. Forecast. Soc. Change, vol. 171, Oct. 2021, doi: 10.1016/j.techfore.2021.120986.
A. Haleem, M. Javaid, M. A. Qadri, R. P. Singh, and R. Suman, “Artificial intelligence (AI) applications for marketing: A literature-based study,” Jan. 2022, KeAi Commun. Co., doi: 10.1016/j.ijin.2022.08.005.
R. Hossain et al., “Exploring the effectiveness of social media on tourism destination marketing: An empirical study in a developing country,” WSEAS Trans. Bus. Econ., vol. 21, pp. 1392–1408, May 2024, doi: 10.37394/23207.2024.21.114.
M. H. Huang and R. T. Rust, “A strategic framework for artificial intelligence in marketing,” J. Acad. Mark. Sci., vol. 49, pp. 30–50, Jan. 2021, doi: 10.1007/s11747-020-00749-9.
G. T. Hvenegaard and C. S. Banack, “Visitor outcomes from dark sky tourism: A case study of the Jasper Dark Sky Festival,” 2024, Routledge, doi: 10.1080/14724049.2024.2320698.
M. Raj, A. Sundararajan, and C. You, “COVID-19 and digital resilience: Evidence from Uber Eats,” SSRN Electron. J., Jun. 2020, doi: 10.2139/ssrn.3625638.
Md. Al-Amin et al., “History of generative artificial intelligence (AI) chatbots: Past, present, and future development,” Feb. 2024.
A. K. Sharma, P. Kumar, S. Jain, and R. K. Gupta, “Artificial intelligence in healthcare: Recent advancements, challenges, and future prospects,” Health Inform. J., vol. 30, no. 1, pp. 1–18, Feb. 2024, doi: 10.1177/14604582231234567.
P. Kelle and A. Akbulut, “The role of ERP tools in supply chain information sharing, cooperation, and cost optimization,” Int. J. Prod. Econ., vol. 93–94, pp. 41–52, 2005, doi: 10.1016/j.ijpe.2004.06.004.
J. S. Jenkins, J. T. Abatzoglou, E. J. Wilkins, and E. E. Perry, “Visitation to national parks in California shows annual and seasonal change during extreme drought and wet years,” PLOS Clim., vol. 2, p. e0000260, Aug. 2023, doi: 10.1371/journal.pclm.0000260.
S. Joshi, S. Bhattacharya, P. Pathak, N. A. Natraj, J. Saini, and S. Goswami, “Harnessing the potential of generative AI in digital marketing using the Behavioral Reasoning Theory approach,” Int. J. Inf. Manage. Data Insights, vol. 5, Jun. 2025, doi: 10.1016/j.jjimei.2024.100317.
A. K. Kalusivalingam, A. Sharma, N. Patel, and V. Singh, “Optimizing e-commerce revenue: Leveraging reinforcement learning and neural networks for AI-powered dynamic pricing,” Int. J. AI ML, vol. 3, no. 9, 2022.
M. Khatun, R. Hossain, M. R. I. Bhuiyan, Mst. N. Tabassum, and Md. A. J. Riaj, “Green entrepreneurship and digital transformation for sustainable development,” 2024, pp. 153–180, doi: 10.4018/979-8-3693-7442-9.ch006.
M. Knani, S. Echchakoui, and R. Ladhari, “Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda,” Int. J. Hosp. Manag., vol. 107, Oct. 2022, doi: 10.1016/j.ijhm.2022.103317.
C. Koo, J. Kwon, N. Chung, and J. Kim, “Metaverse tourism: Conceptual framework and research propositions,” 2023, Routledge, doi: 10.1080/13683500.2022.2122781.
V. Kumar, A. R. Ashraf, and W. Nadeem, “AI-powered marketing: What, where, and how?,” Int. J. Inf. Manage., vol. 77, Aug. 2024, doi: 10.1016/j.ijinfomgt.2024.102783.
S. Kumar, S. K. Saxena, B. Chourasia, and N. Priya, “Analyzing the symbiotic relationship: Tourism economics, consumer behavior, and new-age practices as coping mechanisms for emerging challenges in hospitality and tourism,” 2024, pp. 108–138, doi: 10.2991/978-94-6463-437-2_9.
S. I. Lei, D. Wang, and R. Law, “Mobile-based value co-creation: Contextual factors towards customer experiences,” Tourism Rev., vol. 77, pp. 1153–1165, Jul. 2022, doi: 10.1108/TR-10-2020-0504.
J. Lin, Q. Li, C. Wang, and Z. Hu, “Product development and design framework based on interactive innovation in the metaverse perspective,” Appl. Syst. Innov., vol. 7, Aug. 2024, doi: 10.3390/asi7040058.
D. Luitse, “Platform power in AI: The evolution of cloud infrastructures in the political economy of artificial intelligence,” Internet Policy Rev., vol. 13, Jun. 2024, doi: 10.14763/2024.2.1768.
S. B. Masud, M. M. Rana, H. J. Sohag, F. Shikdar, M. R. Faraji, and M. M. Hasan, “Understanding the financial transaction security through blockchain and machine learning for fraud detection in data privacy and security,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 2, 2024, doi: 10.57239/PJLSS-2024-22.2.001296.
L. Mani, “Gravitating towards the digital economy: Opportunities and challenges for transforming smart Bangladesh,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 1, 2024, doi: 10.57239/pjlss-2024-22.1.00241.
J. P. Meltzer, “The impact of foundational AI on international trade, services, and supply chains in Asia,” Jan. 2024, John Wiley Sons Inc., doi: 10.1111/aepr.12451.
A. Milman, A. D. A. Tasci, and W. Wei, “Crowded and popular: The two sides of the coin affecting theme-park experience, satisfaction, and loyalty,” J. Destin. Mark. Manag., vol. 18, Dec. 2020, doi: 10.1016/j.jdmm.2020.100468.
D. Mishra, S. Das, and R. Patnaik, “Application of AI technology for the development of destination tourism towards an intelligent information system,” AESSRA, Jun. 01, 2024, doi: 10.46852/0424-2513.3.2024.31.
S. Mishra and A. K. Tyagi, “The role of machine learning techniques in Internet of Things-based cloud applications,” in Internet of Things, Springer Sci. Bus. Media Deutschland GmbH, 2022, pp. 105–135, doi: 10.1007/978-3-030-87059-1_4.
A. Mukherjee, “Safeguarding marketing research: The generation, identification, and mitigation of AI-fabricated disinformation,” SSRN Electron. J., 2024, doi: 10.2139/ssrn.4739488.
X. Ma and T. W. Brown, “AI-mediated exchange theory,” arXiv preprint arXiv, 2020.
E. S. Oruh, C. Mordi, C. H. Dibia, and H. A. Ajonbadi, “Exploring compassionate managerial leadership style in reducing employee stress level during COVID-19 crisis: The case of Nigeria,” Employee Relat., vol. 43, pp. 1362–1381, Oct. 2021, doi: 10.1108/ER-06-2020-0302
F. Osasona, O. O. Amoo, A. Atadoga, T. O. Abrahams, O. A. Farayola, and B. S. Ayinla, “Reviewing the ethical implications of AI in decision-making processes,” Int. J. Manage. Entrep. Res., vol. 6, pp. 322–335, Feb. 2024, doi: 10.51594/ijmer.v6i2.773.
O. Papakyriakopoulos, J. C. M. Serrano, and S. Hegelich, “Political communication on social media: A tale of hyperactive users and bias in recommender systems,” Online Soc. Netw. Media, vol. 15, Jan. 2020, doi: 10.1016/j.osnem.2019.100058.
U. Porath, “Advancing managerial evolution and resource management in contemporary business landscapes,” Mod. Econ., vol. 14, pp. 1404–1420, 2023, doi: 10.4236/me.2023.1410072.
Md. M. Rahman, M. R. I. Bhuiyan, and S. M. A. Alam, “The empirical study on the impact of the COVID-19 on small and medium enterprises (SMEs) in Bangladesh,” J. Inf. Syst. Informatics, vol. 6, pp. 527–547, Mar. 2024, doi: 10.51519/journalisi.v6i1.686.
Md. A. J. Riaj, Mst. N. Tabassum, R. Hossain, M. R. I. Bhuiyan, and M. Khatun, “Digitalization transformation in entrepreneurship and enterprise green innovation,” 2024, pp. 181–204, doi: 10.4018/979-8-3693-7442-9.ch007.
H. Ruel and E. Njoku, “AI redefining the hospitality industry,” J. Tourism Futures, vol. 7, pp. 53–66, 2020, doi: 10.1108/JTF-03-2020-0032.
T. Car, S. Šuman, and A. Kliman, A. “Customer booking habits and attitudes towards AI-powered features in online travel agencies,” Int. J. Adv. Comput. Sci. Technol., vol. 13, no. 9, pp. 111–117, Sep. 2024, doi: 10.30534/ijacst/2024/021392024.
Q. Fu, A. A. A. Rahman, H. Jiang, J. Abbas, and U. Comite, “Sustainable supply chain and business performance: The impact of strategy, network design, information systems, and organizational structure,” Sustainability (Switzerland), vol. 14, Feb. 2022, doi: 10.3390/su14031080.
K. L. Lee, N. A. N. Azmi, J. R. Hanaysha, H. M. Alzoubi, and M. T. Alshurideh, “The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry,” Uncertain Supply Chain Manage., vol. 10, pp. 495–510, 2022, doi: 10.5267/j.uscm.2021.12.002.
A. K. Sahai and N. Rath, “Artificial intelligence and the 4th industrial revolution,” in Artificial Intelligence and Machine Learning in Business Management: Concepts, Challenges, and Case Studies, CRC Press, 2021, pp. 127–144, doi: 10.1201/9781003125129-8.
I. H. Sarker, “Machine learning: Algorithms, real-world applications and research directions,” May 2021, Springer, doi: 10.1007/s42979-021-00592-x.
S. D. Sarol, M. F. N. Mohammad, and N. A. A. Rahman, “Mobile technology application in aviation: Chatbot for airline customer experience,” in Technology Application in Aviation, Tourism and Hospitality: Recent Developments and Emerging Issues, Springer Nature, 2022, pp. 59–72, doi: 10.1007/978-981-19-6619-4_5.
S. Kumar and A. D. Kumar, “E-training impact on trainee experience and self-assessment,” J. Workplace Learn., vol. 35, pp. 599–612, Oct. 2023, doi: 10.1108/JWL-02-2022-0023.
F. Martin and J. Borup, “Online learner engagement: Conceptual definitions, research themes, and supportive practices,” Educ. Psychol., vol. 57, pp. 162–177, 2022, doi: 10.1080/00461520.2022.2089147.
G. F. Ben Aryee et al., “Effectiveness of e-learning programme for capacity building of healthcare professionals: A systematic review,” Dec. 2024, BioMed Cent. Ltd., doi: 10.1186/s12960-024-00924-x.
C. James-Springer and K. Cennamo, A Tool for Determining e-Learning Readiness, Springer Int. Publ., 2021, doi: 10.1007/978-3-030-76994-9.
C. A. Roldan Hernandez, “Inside out apologetics: Engaging Christian and postmodern approaches to higher education,” 2023.
H. Zhang et al., “How does COVID-19 impact students with disabilities/health concerns?,” May 2020.
S. Shaddiq, Khuzaini, and M. Irpan, “Governance of human resources management in the digital era,” J. Bus. Manage. Stud., vol. 5, pp. 80–96, Jun. 2023, doi: 10.32996/jbms.2023.5.3.8.
J.-S. Horng, C.-H. S. Liu, S.-F. Chou, C.-Y. Tsai, and D.-C. Hu, “Developing a sustainable service innovation framework for the hospitality industry,” Int. J. Contemp. Hosp. Manage., vol. 30, no. 1, pp. 455–474, 2018, doi: 10.1108/IJCHM-12-2016-0640.
H. N. D. Şenyapar, "Artificial intelligence in marketing communication: A comprehensive exploration of the integration and impact of AI," Technium Soc. Sci. J., vol. 55, no. 1, 2024. DOI: 10.47577/tssj.v55i1.10651.
E. Sorokina, Y. Wang, A. Fyall, P. Lugosi, E. Torres, and T. Jung, “Constructing a smart destination framework: A destination marketing organization perspective,” J. Destin. Mark. Manag., vol. 23, Mar. 2022, doi: 10.1016/j.jdmm.2021.100688.
S. Taheri, P. Hosseini, and A. Razban, “Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review,” J. Build. Eng., vol. 60, Nov. 2022, doi: 10.1016/j.jobe.2022.105067.
R. A. Teubner and J. Stockhinger, “Literature review: Understanding information systems strategy in the digital age,” Dec. 2020, Elsevier B.V., doi: 10.1016/j.jsis.2020.101642.
T. K. Vashishth, Vikas, K. K. Sharma, B. Kumar, S. Chaudhary, and R. Panwar, “Enhancing customer experience through AI-enabled content personalization in e-commerce marketing,” in Advances in Digital Marketing in the Era of Artificial Intelligence, CRC Press, 2024, pp. 7–32, doi: 10.1201/9781003450443-2.
S. B. Masud, “Understanding the financial transaction security through blockchain and machine learning for fraud detection in data privacy and security,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 2, 2024, doi: 10.57239/PJLSS-2024-22.2.001296.
L. Mani, “Gravitating towards the digital economy: Opportunities and challenges for transforming smart Bangladesh,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 1, 2024, doi: 10.57239/PJLSS-2024-22.1.00241.
S. K. H. and K. T. Veeramanju, “Revolutionizing agriculture: A case study of IBM’s AI innovations,” Int. J. Appl. Eng. Manage. Lett., pp. 95–114, Nov. 2023, doi: 10.47992/ijaeml.2581.7000.0195.
J. Shabbir and T. Anwer, “Artificial intelligence and its role in near future,” Apr. 2018.
S. M. Williamson and V. Prybutok, “Balancing privacy and progress: A review of privacy challenges, systemic oversight, and patient perceptions in AI-driven healthcare,” Jan. 2024, Multidiscip. Digit. Publ. Inst. (MDPI), doi: 10.3390/app14020675.
D. Xie and Y. He, “Marketing strategy of rural tourism based on big data and artificial intelligence,” Mobile Inf. Syst., vol. 2022, 2022, doi: 10.1155/2022/9154351.
L. A. Kirschgens, I. Z. Ugarte, E. G. Uriarte, A. M. Rosas, and V. M. Vilches, “Robot hazards: From safety to security,” Jun. 2018.
C. Zhang and Y. Lu, “Study on artificial intelligence: The state of the art and future prospects,” J. Ind. Inf. Integr., vol. 23, Sep. 2021, doi: 10.1016/j.jii.2021.100224.
J. Zhang and Y. Jing, “Application of artificial intelligence technology in cross-cultural communication of intangible cultural heritage,” Math. Probl. Eng., vol. 2022, 2022, doi: 10.1155/2022/6563114.
M. R. Islam Bhuiyan, M. N. U. Milon, R. Hossain, T. A. Poli, and M. A. Salam, “Examining the relationship between poverty and juvenile delinquency trends in a developing country,” Acad. J. Interdiscip. Stud., vol. 13, no. 6, p. 255, Nov. 2024, doi: 10.36941/ajis-2024-0193.
B. Mohapatra, S. Tripathy, D. Singhal, and R. Saha, “Significance of digital technology in manufacturing sectors: Examination of key factors during COVID-19,” Res. Transp. Econ., vol. 93, Jun. 2022, doi: 10.1016/j.retrec.2021.101134.
Md. M. Rahman et al., “Gravitating towards information society for information security in information systems: A systematic PRISMA-based review,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 1, 2024, doi: 10.57239/PJLSS-2024-22.1.0089.
R. Hossain et al., “Prospective artificial intelligence (AI) applications in the university education level: Enhancing learning, teaching, and administration through a PRISMA-based systematic review,” Pak. J. Life Soc. Sci. (PJLSS), vol. 22, no. 2, 2024, doi: 10.57239/PJLSS-2024-22.2.00694.
Abstract views: 406 times
Download PDF: 151 times
Copyright (c) 2025 Journal of Information Systems and Informatics
This work is licensed under a Creative Commons Attribution 4.0 International License.
- I certify that I have read, understand and agreed to the Journal of Information Systems and Informatics (Journal-ISI) submission guidelines, policies and submission declaration. Submission already using the provided template.
- I certify that all authors have approved the publication of this and there is no conflict of interest.
- I confirm that the manuscript is the authors' original work and the manuscript has not received prior publication and is not under consideration for publication elsewhere and has not been previously published.
- I confirm that all authors listed on the title page have contributed significantly to the work, have read the manuscript, attest to the validity and legitimacy of the data and its interpretation, and agree to its submission.
- I confirm that the paper now submitted is not copied or plagiarized version of some other published work.
- I declare that I shall not submit the paper for publication in any other Journal or Magazine till the decision is made by journal editors.
- If the paper is finally accepted by the journal for publication, I confirm that I will either publish the paper immediately or withdraw it according to withdrawal policies
- I Agree that the paper published by this journal, I transfer copyright or assign exclusive rights to the publisher (including commercial rights)
_1.png){kind=logo}
