Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » International Journal of Data and Network Science » The role of AI and big data in increasing the success of e-commerce assistance and its implications on the quality of MSME capacity development models with disabilities

Journals

  • IJIEC (747)
  • MSL (2643)
  • DSL (668)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (96)
  • HE (32)
  • SCI (26)

IJDS Volumes

    • Volume 1 (8)
      • Issue 1 (5)
      • Issue 2 (3)
    • Volume 2 (12)
      • Issue 1 (3)
      • Issue 2 (3)
      • Issue 3 (3)
      • Issue 4 (3)
    • Volume 3 (27)
      • Issue 1 (4)
      • Issue 2 (9)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 4 (37)
      • Issue 1 (6)
      • Issue 2 (15)
      • Issue 3 (7)
      • Issue 4 (9)
    • Volume 5 (86)
      • Issue 1 (9)
      • Issue 2 (11)
      • Issue 3 (32)
      • Issue 4 (34)
    • Volume 6 (163)
      • Issue 1 (30)
      • Issue 2 (33)
      • Issue 3 (40)
      • Issue 4 (60)
    • Volume 7 (200)
      • Issue 1 (53)
      • Issue 2 (46)
      • Issue 3 (46)
      • Issue 4 (55)
    • Volume 8 (243)
      • Issue 1 (60)
      • Issue 2 (61)
      • Issue 3 (60)
      • Issue 4 (62)
    • Volume 9 (96)
      • Issue 1 (20)
      • Issue 2 (6)
      • Issue 3 (30)
      • Issue 4 (40)
    • Volume 10 (40)
      • Issue 1 (40)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(111)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(86)
Trust(83)
TOPSIS(83)
Financial performance(83)
Sustainability(82)
Job satisfaction(80)
Factor analysis(78)
Social media(78)
Artificial intelligence(77)
Knowledge Management(77)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(63)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Sautma Ronni Basana(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2184)
Indonesia(1290)
India(788)
Jordan(786)
Vietnam(504)
Saudi Arabia(453)
Malaysia(441)
United Arab Emirates(220)
China(206)
Thailand(153)
United States(111)
Turkey(106)
Ukraine(104)
Egypt(98)
Canada(92)
Peru(88)
Pakistan(85)
United Kingdom(80)
Morocco(79)
Nigeria(78)


» Show all countries

International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 9 Issue 4 pp. 1175-1192 , 2025

The role of AI and big data in increasing the success of e-commerce assistance and its implications on the quality of MSME capacity development models with disabilities Pages 1175-1192 Right click to download the paper Download PDF

Authors: Uli Wildan Nuryanto, Furtasan Ali Yusuf, Beni Junedi, Ika Pratiwi, Basrow Basrow

DOI: 10.5267/j.ijdns.2024.8.025

Keywords: Role of AI, Big Data, Increasing the Success of E-Commerce Assistance, Quality of the MSME Capacity De-velopment Model

Abstract: The aim of this research is to analyze the influence of the role of AI and big data in increasing the success of e-commerce assistance and its implications for the quality of the capacity development model for MSMEs with disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia. The sample in this study was 184 respondents consisting of 3 (three) regions including Serang City, Semarang City and Banjarmasin City, Indonesia. Sampling technique using technique random sampling. Data collected through questionnaires was then analyzed using SEM-PLS. The results of research and data analysis show that: The role of AI directly has a positive and significant effect on increasing the success of e-commerce assistance; Big Data directly has a positive and significant effect on increasing the success of e-commerce assistance; The role of AI directly has a positive and significant influence on the Quality of the MSME Capacity Development Model; Government Big Data directly has a positive and significant effect on the Quality of the MSME Capacity Development Model; Increasing the Success of E-Commerce Assistance directly has a positive and significant effect on the Quality of the Capacity Development Model for MSMEs with Disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia. Increasing the Success of E-Commerce Assistance is able to mediate indirectly on the Role of AI and Big Data on the Quality of the Capacity Development Model for MSMEs with Disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia.

How to cite this paper
Nuryanto, U., Yusuf, F., Junedi, B., Pratiwi, I & Basrow, B. (2025). The role of AI and big data in increasing the success of e-commerce assistance and its implications on the quality of MSME capacity development models with disabilities.International Journal of Data and Network Science, 9(4), 1175-1192.

Refrences
Abaddi, S. (2024). Factors and moderators influencing artificial intelligence adoption by Jordanian MSMEs. Management & Sustainability: An Arab Review. https://www.emerald.com/insight/content/doi/10.1108/MSAR-10-2023-0049/full/html Abbate, T., Cesaroni, F., Cinici, M. C., & Villari, M. (2019). Business models for developing smart cities. A fuzzy set qualita-tive comparative analysis of an IoT platform. Technological Forecasting and Social Change, 142, 183–193. https://doi.org/10.1016/j.techfore.2018.07.031 Abrokwah-Larbi, K., & Awuku-Larbi, Y. (2024). The impact of artificial intelligence in marketing on the performance of business organizations: Evidence from SMEs in an emerging economy. Journal of Entrepreneurship in Emerging Econo-mies, 16(4), 1090–1117. https://www.emerald.com/insight/content/doi/10.1108/JEEE-07-2022-0207 Ahmad, W. (2023). MSMEs Empowerment through Digital Innovation: The Key to Success of E-Commerce in Indonesia. Daengku: Journal of Humanities and Social Sciences Innovation, 3(3), 469–475. https://doi.org/10.35877/454RI.daengku1742 Ajah, I.A., & Nweke, H.F. (2019). Big data and business analytics: Trends, platforms, success factors and applications. Big Data and Cognitive Computing, 3(2), 32. https://www.mdpi.com/2504-2289/3/2/32 Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: A systematic review and agenda for future research. Electronic Markets, 26(2), 173–194. https://doi.org/10.1007/s12525-016-0219-0 Al Batayneh, R.M., Taleb, N., Said, R.A., Alshurideh, M.T., Ghazal, T.M., & Alzoubi, H.M. (2021). IT Governance Framework and Smart Services Integration for Future Development of Dubai Infrastructure Utilizing AI and Big Data, Its Reflection on the Citizens Standard of Living. In AE Hassanien, A. Haqiq, PJ Tonellato, L. Bellatreche, S. Goundar, AT Azar, E. Sabir, & D. Bouzidi (Eds.), Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) ( Vol. 1377, pp. 235–247). Springer International Publishing. https://doi.org/10.1007/978-3-030-76346-6_22 Ali, E.S., Hasan, M.K., Hassan, R., Saeed, R.A., Hassan, M.B., Islam, S., Nafi, N.S., & Bevinakoppa, S. (2021). Machine Learning Technologies for Secure Vehicular Communication in the Internet of Vehicles: Recent Advances and Applica-tions. Security and Communication Networks, 2021, 1–23. https://doi.org/10.1155/2021/8868355 Aljauza, M.S., & Machdum, S.V. (2024). PT Pertamina (Persero)'s Perspective on the Development of Efforts to Empower SMEs in the Small Medium Enterprise Partnership Program (SMEPP) in the Jakarta Region. Asian Journal of Manage-ment, Entrepreneurship and Social Science, 4(03), Article 03. http://www.ajmesc.com/index.php/ajmesc/article/view/946 Al-Jumaili, AHA, Muniyandi, RC, Hasan, MK, Paw, JKS, & Singh, MJ (2023). Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations. Sensors, 23(6), 2952. https://www.mdpi.com/1424-8220/23/6/2952 Amornkitvikai, Y., Tham, S.Y., Harvie, C., & Buachoom, W.W. (2022). Barriers and Factors Affecting the E-Commerce Sus-tainability of Thai Micro-, Small- and Medium-Sized Enterprises (MSMEs). Sustainability, 14(14), Article 14. https://doi.org/10.3390/su14148476 Anshari, M., Almunawar, MN, Lim, S.A., & Al-Mudimigh, A. (2019). Customer relationship management and big data ena-bled: Personalization & customization of services. Applied Computing and Informatics, 15(2), 94–101. https://www.sciencedirect.com/science/article/pii/S2210832718300735 Appiah Fening, F., Pesakovic, G., & Amaria, P. (2008). Relationship between quality management practices and the perfor-mance of small and medium size enterprises (SMEs) in Ghana. International Journal of Quality & Reliability Manage-ment, 25(7), 694–708. https://www.emerald.com/insight/content/doi/10.1108/02656710810890881/full/html Arjang, A., Sutrisno, S., Permana, RM, Kusumastuti, R., & Ausat, AMA (2023). Strategies for Improving the Competitiveness of MSMEs through the Utilization of Information and Communication Technology. Al-Buhuts, 19(1), 462–478. https://www.journal.iaingorontalo.ac.id/index.php/ab/article/view/3405 Arora, K., & Siddiqui, A. A. (2022). Resource capabilities and sustainable export performance: An application of m-TISM for Indian manufacturing MSMEs. Quality Management Journal, 29(2), 125–144. https://doi.org/10.1080/10686967.2022.2034493 Arshad, M., Brohi, MN, Soomro, TR, Ghazal, TM, Alzoubi, HM, & Alshurideh, M. (2023). NoSQL: Future of BigData Analyt-ics Characteristics and Comparison with RDBMS. In M. Alshurideh, B. H. Al Kurdi, R. Masa'deh, H. M. Alzoubi, & S. Sal-loum (Eds.), The Effect of Information Technology on Business and Marketing Intelligence Systems (Vol. 1056, pp. 1927–1951). Springer International Publishing. https://doi.org/10.1007/978-3-031-12382-5_106 Asensio, A. (2017). World wide data: The future of digital marketing, e-commerce, and big data. Business Expert Press. Aulia, MR, Junaidi, E., & Hendrayani, R. (2024). The development of the partnership program and business performance: In terms of communication behavior and social networks of MSMEs. Journal of Systems and Management Sciences, 14(1), 159–174. https://www.researchgate.net/profile/Muhammad-Aulia-21/publication/377061227 Aziz, N.A., Al Mamun, A., Reza, MNH, & Naznen, F. (2024). The impact of big data analytics on innovation capability and sustainability performance of hotels: Evidence from an emerging economy. Journal of Enterprise Information Manage-ment, 37(3), 1044–1068. https://www.emerald.com/insight/content/doi/10.1108/JEIM-07-2023-0354/full/html Aziz, N.A., & Long, F. (2023). Examining the relationship between big data analytics capabilities and organizational ambidex-terity in the Malaysian banking sector. Frontiers in Big Data, 6, 1036174. https://www.frontiersin.org/articles/10.3389/fdata.2023.1036174/full Aziz, RA (2019). The opportunities for MSMEs in the industrial technology. Proceedings of the International Conference on Information Technology and Business, 272–286. https://jurnal.darmajaya.ac.id/index.php/icitb/article/view/2129 Bag, S., Gupta, S., Choi, T.-M., & Kumar, A. (2021). Roles of innovation leadership on using big data analytics to establish re-silient healthcare supply chains to combat the COVID-19 pandemic: A multimethodological study. IEEE Transactions on Engineering Management. https://ieeexplore.ieee.org/abstract/document/9519642/ Baral, M. M., Mukherjee, S., Nagariya, R., Singh Patel, B., Pathak, A., & Chittipaka, V. (2023). Analysis of factors impacting firm performance of MSMEs: Lessons learned from COVID-19. Benchmarking: An International Journal, 30(6), 1942–1965. https://www.emerald.com/insight/content/doi/10.1108/BIJ-11-2021-0660/full/html Bawack, RE, Wamba, SF, Carillo, KDA, & Akter, S. (2022). Artificial intelligence in E-Commerce: A bibliometric study and literature review. Electronic Markets, 32(1), 297–338. https://doi.org/10.1007/s12525-022-00537-z Begum, M., Shuvo, M.H., Nasir, MK, Hossain, A., Hossain, M.J., Ashraf, I., Uddin, J., & Samad, M.A. (2024). LCNN: Light-weight CNN architecture for software defect feature identification using Explainable AI. IEEE Access. https://ieeexplore.ieee.org/abstract/document/10499820/ Behl, A., Dutta, P., Lessmann, S., Dwivedi, Y. K., & Kar, S. (2019). A conceptual framework for the adoption of big data ana-lytics by e-commerce startups: A case-based approach. Information Systems and E-Business Management, 17(2–4), 285–318. https://doi.org/10.1007/s10257-019-00452-5 Behl, A., Gaur, J., Pereira, V., Yadav, R., & Laker, B. (2022). Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19–A multi-theoretical approach. Journal of Business Re-search, 148, 378–389. https://www.sciencedirect.com/science/article/pii/S0148296322004325 Bhatti, S.H., Ahmed, A., Ferraris, A., Hirwani Wan Hussain, WM, & Wamba, S.F. (2022). Big data analytics capabilities and MSME innovation and performance: A double mediation model of digital platform and network capabilities. Annals of Operations Research. https://doi.org/10.1007/s10479-022-05002-w Biea, E.A., Dinu, E., Bunica, A., & Jerdea, L. (2023). Recruitment in SMEs: The role of managerial practices, technology and innovation. European Business Review, 36(3), 361–391. https://doi.org/10.1108/EBR-05-2023-0162 Cakranegara, PA, Zuana, MMM, Sestri, E., Surahman, B., & Kurniawansyah, K. (2022). Implementation Of The E-Commerce Platform To Improve Technology Adaptation In MSMES. Economic Journal, 11(03), Article 03. https://ejournal.seaninstitute.or.id/index.php/Ekonomi/article/view/968 Chatterjee, S., Chaudhuri, R., Vrontis, D., & Basile, G. (2022). Digital transformation and entrepreneurship process in SMEs of India: A moderating role of adoption of AI-CRM capability and strategic planning. Journal of Strategy and Manage-ment, 15(3), 416–433. https://www.emerald.com/insight/content/doi/10.1108/JSMA-02-2021-0049/full/html Chen, C.-T., Chen, S.-C., Khan, A., Lim, M.K., & Tseng, M.-L. (2024). Big data analytics-artificial intelligence and supply chain ambidexterity impacts on corporate image and green communication. Industrial Management & Data Systems. https://www.emerald.com/insight/content/doi/10.1108/IMDS-01-2024-0045/full/html Choshin, M., & Ghaffari, A. (2017). An investigation of the impact of effective factors on the success of e-commerce in small- and medium-sized companies. Computers in Human Behavior, 66, 67–74. https://doi.org/10.1016/j.chb.2016.09.026 Coleman, S., Göb, R., Manco, G., Pievatolo, A., Tort‐Martorell, X., & Reis, M. S. (2016). How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Quality and Reliability Engineering International, 32(6), 2151–2164. https://doi.org/10.1002/qre.2008 Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024). Artificial intelligence-driven supply chain re-silience in Vietnamese manufacturing small- and medium-sized enterprises. International Journal of Production Research, 62(15), 5417–5456. https://doi.org/10.1080/00207543.2023.2179859 Dutta, D., & Kannan Poyil, A. (2024). The machine/human agentic impact on practices in learning and development: A study across MSME, NGO and MNC organizations. Personnel Review, 53(3), 791–815. https://www.emerald.com/insight/content/doi/10.1108/PR-09-2022-0658/full/html Farida, N., Naryoso, A., & Yuniawan, A. (2017). Model of Relationship Marketing and E-Commerce in Improving Marketing Performance of Batik SMEs. JDM (Journal of Management Dynamics), 8(1), Article 1. https://doi.org/10.15294/jdm.v8i1.10408 Ferdinand, A. (2014). Management Research Methods 5th Edition. Semarang: Undip Press. Ferreira, T., Pedrosa, I., & Bernardino, J. (2017). Business Intelligence for E-commerce: Survey and Research Directions. In A. Rocha, A. M. Correia, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), Recent Advances in Information Systems and Tech-nologies (Vol. 569, pp. 215–225). Springer International Publishing. https://doi.org/10.1007/978-3-319-56535-4_22 Gao, J., Siddik, A.B., Khawar Abbas, S., Hamayun, M., Masukujjaman, M., & Alam, S.S. (2023). Impact of E-Commerce and Digital Marketing Adoption on the Financial and Sustainability Performance of MSMEs during the COVID-19 Pandemic: An Empirical Study. Sustainability, 15(2), Article 2. https://doi.org/10.3390/su15021594 Ghobakhloo, M., Hong, T.S., & Standing, C. (2015). B2B E-Commerce Success among Small and Medium-Sized Enterprises: A Business Network Perspective. Journal of Organizational and End User Computing (JOEUC), 27(1), 1–32. https://doi.org/10.4018/joeuc.2015010101 Ghozali, I. (2015). Multivariate Analysis Application with SPSS Program. Semarang: Diponegoro University Publishing Agency. Ghozali, I. (2018). Multivariate analysis application with the IBM SPSS 25 program. Undip. Ghozali, I., & Latan, H. (2017). Partial Least Square: Concepts, Methods, and Applications using the WarpPLS 5.0 program, 3rd Edition. Semarang: Diponogoro University Publishing Agency. Golicic, S. L., Davis, D. F., McCarthy, T. M., & Mentzer, J. T. (2002). The impact of e-commerce on supply chain relation-ships. International Journal of Physical Distribution & Logistics Management, 32(10), 851–871. https://www.emerald.com/insight/content/doi/10.1108/09600030210455447/full/html Ha, V. (2020). Enhancing the e-commerce application in SMEs. Management Science Letters, 10(12), 2821–2828.http://m.growingscience.com/beta/msl/3870-enhancing-the-e-commerce-application-in-smes.html Hair, J. F., & Brunsveld, N. (2019). Essentials of business research methods. In Essentials of Business Research Methods. Routledge. https://doi.org/10.4324/9780429203374 Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sages: Thousand Oaks. Hair, J.F.J., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Model-ing (PLS-SEM). Sage Publications. European Journal of Tourism Research, 6(2), 211–213. Hair, J.F., Ringle, C.M., & Sarstedt, M. (2012). The Better Approach to Structural Equation Modeling? Long Range Planning. Hartono, B., Atmaja, HE, Ratnawati, S., Verawati, DM, & Ikhwan, K. (2021). Indonesian MSMEs and big data: Seizing oppor-tunities by minimizing bottlenecks. Journal of Management Information and Decision Sciences, 24(3), 1–7. https://sdbindex.com/documents/00000161/00000-83204.pdf Hendrarso, P., Poernomo, BSM, & Pather, S. (2023). The Role of E-Commerce for MSMEs: A Study on Artificial Intelligence Training at Shopee Training Center. Wise Science Magazine, 20(2), 311–319. https://doi.org/10.31334/bijak.v20i2.3430 Hendrawan, A., Sucahyowati, H., & Cahyandi, K. (2018). E-Commerce in Small and Medium Enterprises (SMEs) in order to Improve Performance. Journal Of Applied Management And Business, 4(2), 208–215. https://doi.org/10.26737/jtmb.v4i2.1025 Ikumoro, A. O., & Jawad, M. S. (2019). Intention to use intelligent conversational agents in e-commerce among Malaysian SMEs: An integrated conceptual framework based on tri-theories including unified theory of acceptance, use of technology (UTAUT), and TOE. International Journal of Academic Research in Business and Social Sciences, 9(11), 205–235. https://www.academia.edu/download/61370771 Jain, V., Malviya, B., & Arya, S. (2021). An overview of electronic commerce (e-Commerce). The Journal of Contemporary Issues in Business and Government, 27(3), 665–670. https://cibgp.com/au/index.php/1323-6903/article/view/1648 Jha, R.S., & Sahoo, P.R. (2021). Influence of Big Data Capabilities in Knowledge Management—MSMEs. In M. Tuba, S. Akashe, & A. Joshi (Eds.), ICT Systems and Sustainability (Vol. 1270, pp. 513–524). Springer Singapore. https://doi.org/10.1007/978-981-15-8289-9_50 Kalla, D. (2024). Improving E-Commerce Organization Performance Using Big Data Analytics and Artificial Intelligence [PhD Thesis, Colorado Technical University]. Kashyap, A.K., Sahu, I., & Kumar, A. (2022). Artificial Intelligence and Its Applications in E-Commerce–a Review Analysis and Research Agenda. Journal of Theoretical and Applied Information Technology, 100(24), 7347–7365. http://www.jatit.org/volumes/Vol100No24/12Vol100No24.pdf Kauffman, R. J., Srivastava, J., & Vayghan, J. (2012). Business and data analytics: New innovations in the management of e-commerce. Electronic Commerce Research and Applications, 11(2), 85. https://ink.library.smu.edu.sg/sis_research/1752/ Khrais, L. T. (2020). Role of artificial intelligence in shaping consumer demand in E-commerce. Future Internet, 12(12), 226. https://www.mdpi.com/1999-5903/12/12/226 Khwarazmita, T., & Churiyah, M. (2024). Empowering Female Leadership and Cultivating a Digital Mindset: Enhancing In-donesia's Jamu MSMEs through Strategic SWOT Analysis. Management Science: Unsera Management Journal, 10(1), Ar-ticle 1. https://doi.org/10.30656/sm.v10i1.8511 Kilay, AL, Simamora, BH, & Putra, DP (2022). The Influence of E-Payment and E-Commerce Services on Supply Chain Per-formance: Implications of Open Innovation and Solutions for the Digitalization of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Journal of Open Innovation: Technology, Markets, and Complexity, 8(3), 119. https://doi.org/10.3390/joitmc8030119 Kirom, NR, Sudarmiatin, S., & Hermawan, A. (2022). E-Commerce Strategy for MSME Innovation Development in the New Normal Era. International Journal of Environmental, Sustainability, and Social Science, 3(1), Article 1. https://doi.org/10.38142/ijesss.v3i1.125 Kouhihabibi, M. (2021). Feeling the pulse of trade in the age of corona: Artificial intelligence and e-commerce. International Journal of Economic Behavior (IJEB), 11(1), 23–35. https://journals.uniurb.it/index.php/ijmeb/article/view/2904 Krishnan, C., & Mariappan, J. (2024). The AI Revolution in E-Commerce: Personalization and Predictive Analytics. In L. Gaur & A. Abraham (Eds.), Role of Explainable Artificial Intelligence in E-Commerce (Vol. 1094, pp. 53–64). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-55615-9_4 Kulkarni, A. V., Joseph, S., & Patil, K. P. (2024). Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations. International Journal of Information Management Data In-sights, 4(2), 100250. Kumar, M., Raut, R.D., Mangla, S.K., Ferraris, A., & Choubey, V.K. (2022). The adoption of artificial intelligence powered workforce management for effective revenue growth of micro, small, and medium scale enterprises (MSMEs). Production Planning & Control, 1–17. https://doi.org/10.1080/09537287.2022.2131620 Lidiawan, AR (2024). The influence of business criteria models, digital information, through co-innovation on bank-SME re-lations in Surabaya: Path analysis study. Journal of Law and Sustainable Development, 12(2), e3234–e3234. Maroufkhani, P., Iranmanesh, M., & Ghobakhloo, M. (2023). Determinants of big data analytics adoption in small and medi-um-sized enterprises (SMEs). Industrial Management & Data Systems, 123(1), 278–301. https://www.emerald.com/insight/content/doi/10.1108/IMDS-11-2021-0695/full/html Maroufkhani, P., Wan Ismail, W. K., & Ghobakhloo, M. (2020). Big data analytics adoption model for small and medium en-terprises. Journal of Science and Technology Policy Management, 11(4), 483–513. https://www.emerald.com/insight/content/doi/10.1108/JSTPM-02-2020-0018/full/html Matt, D.T., & Rauch, E. (2020). SME 4.0: The role of small- and medium-sized enterprises in the digital transformation. In-dustry 4.0 for SMEs: Challenges, Opportunities and Requirements, 3–36. https://library.oapen.org/bitstream/handle/20.500.12657/22857/1007304.pdf?sequence=1#page=33 Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics and firm performance: Findings from a mixed-method approach. Journal of Business Research, 98, 261–276. https://www.sciencedirect.com/science/article/pii/S014829631930061X Moleong, L. J. (2021). Qualitative research methodology. Bandung: PT Teen Rosdakarya. Molla, A., & Licker, P. S. (2001). E-commerce systems success: An attempt to extend and respecify the Delone and MacLean model of IS success. JECR-Journal of Electronic Commerce Research, 2(4), 131–141. http://ojs.jecr.org/jecr/sites/default/files/paper1_31.pdf Morgan, A., Colebourne, D., & Thomas, B. (2006). The development of ICT advisors for SME businesses: An innovative ap-proach. Technovation, 26(8), 980–987. https://doi.org/10.1016/j.technovation.2005.09.001 Moyne, J., & Iskandar, J. (2017). Big data analytics for smart manufacturing: Case studies in semiconductor manufacturing. Processes, 5(3), 39. https://www.mdpi.com/2227-9717/5/3/39 Mukherjee, S., Nagariya, R., Mathiyazhagan, K., Baral, M.M., Pavithra, M.R., & Appolloni, A. (2024). Artificial intelligence-based reverse logistics for improving circular economic performance: A developing country perspective. The International Journal of Logistics Management. https://www.emerald.com/insight/content/doi/10.1108/IJLM-03-2023-0102/full/html Nainggolan, LE, Nainggolan, NT, & Lie, D. (2023). Strategy To Increase The Competitiveness Of Umkm In The Tourism And Creative Economy Sector Of Samosir Regency With Go-Digital And Transformational Leadership. International Journal of Science, Technology & Management, 4(6), Article 6. https://doi.org/10.46729/ijstm.v4i6.952 Nichifor, E., Trifan, A., & Nechifor, E.M. (2021). Artificial intelligence in electronic commerce: Basic chatbots and the con-sumer journey. Amphiteatru Economic, 23(56), 87–101. https://www.ceeol.com/search/article-detail?id=929501 Oprescu, P.G. (2019). Influence of New Technologies in E-Commerce. Economic Informatics, 19(1). http://economyinformatics.ase.ro/content/EN19/03%20-%20oprescu.pdf Ping, N. L. (2019). Constructs for artificial intelligence customer service in E-commerce. 2019 6th International Conference on Research and Innovation in Information Systems (ICRIIS), 1–6. https://ieeexplore.ieee.org/abstract/document/9073486/ Pramudito, D. (2021). The Moderating Effect of e-Trust and Big Data Quality in e-Grocery: An Empirical Research from Out-side of Java Island. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(10), 6445–6459. https://www.academia.edu/download/105441046/10211.pdf Qureshi, R., Irfan, M., Ali, H., Khan, A., Nittala, AS, Ali, S., Shah, A., Gondal, T.M., Sadak, F., & Shah, Z. (2023 ). Artificial intelligence and biosensors in healthcare and its clinical relevance: A review. IEEE Access, 11, 61600–61620. Radicic, D., & Petković, S. (2023). Impact of digitalization on technological innovations in small and medium-sized enterpris-es (SMEs). Technological Forecasting and Social Change, 191, 122474. https://www.sciencedirect.com/science/article/pii/S0040162523001592 Raji, MA, Olodo, HB, Oke, TT, Addy, WA, Ofodile, OC, & Oyewole, AT (2024). E-commerce and consumer behavior: A re-view of AI-powered personalization and market trends. GSC Advanced Research and Reviews, 18(3), 066–077. https://gsconlinepress.com/journals/gscarr/content/e-commerce-and-consumer-behavior-review-ai-powered-personalization-and-market-trends Ramadhanti, A., & Slamet, AS (2020). Developing E-Commerce Success Model by Measuring Website Quality of Indonesian MSMEs. 16–23. https://doi.org/10.2991/aebmr.k.200520.004 Ramanathan, K., Pramod, D., & Patil, K. (2024). Factors that impact AI-augmented HRM in micro, small, and medium-sized enterprises MSMEs: A task viability theory approach. AIP Conference Proceedings, 3168(1). https://pubs.aip.org/aip/acp/article-abstract/3168/1/020022/3300784 Ristyawan, MR (2020). An Integrated Artificial Intelligence and Resource Base View Model for Creating Competitive Ad-vantage. Journal of Business & Economics Review (JBER), 5(1). https://www.researchgate.net/profile/Mochammad-Ristyawan/publication/339838548 Rosário, A., & Raimundo, R. (2021). Consumer marketing strategy and E-commerce in the last decade: A literature review. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 3003–3024. https://www.mdpi.com/0718-1876/16/7/164 Sabri, MF bin M., Rashid, SM, & Nadzri, S. binti. (2023). Exploring The Challenges of Disabled Entrepreneurs: A Literature Study. Proceedings of Femfest International Conference on Economics, Management, and Business, 1, 809–824. https://ejournal.unida.gontor.ac.id/index.php/FICCOMSS/article/view/10870 Saeed, K. A., Grover, V., & Hwang, Y. (2005). The Relationship of E-Commerce Competence to Customer Value and Firm Performance: An Empirical Investigation. Journal of Management Information Systems, 22(1), 223–256. https://doi.org/10.1080/07421222.2003.11045835 Santosa, AD, & Surgawati, I. (2024). Artificial Intelligence (AI) Adoption as Marketing Tools among Micro, Small, and Me-dium Enterprises (MSMEs) in Indonesia. Journal Of Social Humanities (JSH), 17(1), 91–102. https://iptek.its.ac.id/index.php/jsh/article/view/20520 Sariyer, G., Mangla, S.K., Kazancoglu, Y., Ocal Tasar, C., & Luthra, S. (2021a). Data analytics for quality management in In-dustry 4.0 from an MSME perspective. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04215-9 Simanjuntak, M., Sinaga, AM, & Simanjuntak, HAT (2022). The role of value co-creation in e-commerce to improve msme marketing performance. Proceedings of the International Conference on Information Technology, Multimedia, Architec-ture, Design, and E-Business, 2, 30–38. https://eprosiding.idbbali.ac.id/index.php/imade/article/view/703 Singh, M. (2002). E-services and their role in B2C e-commerce. Managing Service Quality: An International Journal, 12(6), 434–446. https://www.emerald.com/insight/content/doi/10.1108/09604520210451911/full/html Singh, R. (2021). A study of artificial intelligence and E-commerce ecosystem–a customer's perspective. International Jour-nal of Research in Engineering, Science and Management, 4(2), 78–87. https://journal.ijresm.com/index.php/ijresm/article/view/507 Sissodia, R., Rauthan, M. S., & Barthwal, V. (2024). Use of AI in E-Commerce. In AI-Based Data Analytics (pp. 1–13). Auer-bach Publications. https://www.taylorfrancis.com/chapters/edit/10.1201/9781032614083-1/use-ai-commerce-rajeshwari-sissodia-manmohan-singh-rauthan-varun-barthwal Sivarajah, U., Irani, Z., Gupta, S., & Mahroof, K. (2020). Role of big data and social media analytics for business to business sustainability: A participatory web context. Industrial Marketing Management, 86, 163–179. https://www.sciencedirect.com/science/article/pii/S0019850118305236 Subagja, AD, Ausat, AMA, Sari, AR, Wanof, MI, & Suherlan, S. (2023). Improving customer service quality in MSMEs through the use of ChatGPT. Polgan Minfo Journal, 12(1), 380–386. https://jurnal.polgan.ac.id/index.php/jmp/article/view/12407 Sugiharto, BH (2024). The Role of E-commerce for MSMEs as a Digital Marketing Strategy in Facing Industrial Revolution 4.0. Management Studies and Business Journal (PRODUCTIVITY), 1(1), Article 1. https://doi.org/10.62207/80ndq458 Sugiyono. (2015). Quantitative, Qualitative, and R & D Research Methods. Alfabeta. Sun, Z., & Finnie, G. R. (2004). Intelligent Techniques in E-Commerce (Vol. 144). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-40003-5 Tamym, L., & Benyoucef, L. (2024). How Can Big Data Analytics and Artificial Intelligence Improve Networked Enterprises's Sustainability? 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (AC-DSA), 1–6. https://ieeexplore.ieee.org/abstract/document/10467424/ Tan, X., Yen, D. C., & Fang, X. (2002). Internet Integrated Customer Relationship Management a Key Success Factor for Companies in the E-Commerce Arena. Journal of Computer Information Systems, 42(3), 77–86. https://doi.org/10.1080/08874417.2002.11647506 Thathsarani, US, & Jianguo, W. (2022). Do digital finance and the technology acceptance model strengthen financial inclusion and SME performance? Information, 13(8), 390. https://www.mdpi.com/2078-2489/13/8/390 Triwahyono, B., Rahayu, T., & Kraugusteeliana, K. (2023). Analyzing the role of technological innovation in improving the operational efficiency of MSMEs. Polgan Minfo Journal, 12(1), 1417–1426. https://jurnal.polgan.ac.id/index.php/jmp/article/view/12791 Umair, M., & Dilanchiev, A. (2022). Economic recovery by developing business strategies: Mediating role of financing and organizational culture in small and medium businesses. Proceedings Book, 683. https://www.academia.edu/download/90410066/4._20CEO_20Proceedings_20E-Book.pdf#page=708 Wang, C., Ahmad, SF, Ayassrah, AYBA, Awwad, EM, Irshad, M., Ali, YA, Al-Razgan, M., Khan, Y., & Han, H. (2023). An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce. Heliyon, 9(8). https://www.cell.com/heliyon/fulltext/S2405-8440(23)05557-3 Widiastuti, T., Al-shami, SA, Mawardi, I., Zulaikha, S., Haron, R., Kasri, RA, Mustofa, MUA, & Dewi, EP (2024). Capturing the barriers and strategic solutions for women empowerment: Delphy analytical network process. Journal of Open Innova-tion: Technology, Markets, and Complexity, 10(3), 100345. https://doi.org/10.1016/j.joitmc.2024.100345 Yadegaridehkordi, E., Nilashi, M., Shuib, L., Nasir, MHNBM, Asadi, S., Samad, S., & Awang, N.F. (2020). The impact of big data on firm performance in the hotel industry. Electronic Commerce Research and Applications, 40, 100921. https://www.sciencedirect.com/science/article/pii/S1567422319300985 Ye, X., & Jonilo, M. (2023). Unleashing the Power of Big Data: Designing a Robust Business Intelligence Framework for E-commerce Data Analytics. Journal of Information Systems Engineering and Management, 8(3), 22638. https://www.jisem-journal.com/article/unleashing-the-power-of-big-data-designing-a-robust-business-intelligence -framework-for-e-commerce-13946 Yu, D., Tao, S., Hanan, A., Ong, T.S., Latif, B., & Ali, M. (2022). Fostering green innovation adoption through green dynamic capability: The moderating role of environmental dynamism and big data analytic capability. International Journal of En-vironmental Research and Public Health, 19(16), 10336. https://www.mdpi.com/1660-4601/19/16/10336 Yun, M. (2022). The impact of technological capability on MSME innovation: A case study of Vietnam. Asian Journal of Technological Innovation, 30(3), 491–518. https://doi.org/10.1080/19761597.2021.1890163 Zerbino, P., Aloini, D., Dulmin, R., & Mininno, V. (2018). Big data-enabled customer relationship management: A holistic approach. Information Processing & Management, 54(5), 818–846. https://www.sciencedirect.com/science/article/pii/S0306457317300067 Zhan, Y., Tan, K. H., Li, Y., & Tse, Y. K. (2018). Unlocking the power of big data in new product development. Annals of Op-erations Research, 270(1–2), 577–595. https://doi.org/10.1007/s10479-016-2379-x Zhang, D., Pee, L.G., & Cui, L. (2021). Artificial intelligence in E-commerce fulfillment: A case study of resource orchestra-tion at Alibaba's Smart Warehouse. International Journal of Information Management, 57, 102304. https://www.sciencedirect.com/science/article/pii/S0268401220315036 Zheng, L. J., Zhang, J. Z., Wang, H., & Hong, J. F. L. (2022). Exploring the impact of Big Data Analytics Capabilities on the dual nature of innovative activities in MSMEs: A Data-Agility-Innovation Perspective. Annals of Operations Research. https://doi.org/10.1007/s10479-022-04800-6 Zhu, D. (2021). Research and analysis of a virtual real estate E-commerce model based on big data under the background of COVID-19. Journal of Organizational and End User Computing (JOEUC), 33(6), 1–16. https://www.igi-global.com/article/research-and-analysis-of-a-real-estate-virtual-e-commerce-model-based-on-big-data-under-the-background-of-covid-19/276517 https://www.igi-global.com/article/research-and-analysis-of-a-real-estate-virtual-e-commerce-model-based-on-big-data-under-the-background- of-covid-19/276517
  • 34
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: International Journal of Data and Network Science | Year: 2025 | Volume: 9 | Issue: 4 | Views: 2868 | Reviews: 0

Related Articles:
  • Factors affecting the decisions of financial access: The case of vietnam
  • The impact of ChatGPT integration and customer relationship management on M ...
  • The impact of ChatGPT integration and customer relationship management on M ...
  • The adoption of business-to-consumer commerce for small and medium enterpri ...
  • Investigating the role of e-commerce application and digital marketing impl ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com