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Factors determining customers desire to analyse supply chain management in intelligent IoT

Author

Listed:
  • Rolyana Ferinia

    (Universitas Advent Indonesia)

  • Dasari Lokesh Sai Kumar

    (P.V.P. Siddhartha Institute of Technology)

  • B. Santhosh Kumar

    (Guru Nanak Institute of Technology Hyderabad)

  • Bala Anand Muthu

    (Tagore Institute of Engineering and Technology)

  • Renas Rajab Asaad

    (Nawroz University)

  • Jaya Subalakshmi Ramamoorthi

    (Vellore Institute of Technology)

  • J. Alfred Daniel

    (Karpagam Academy of Higher Education)

Abstract

This article discussed customers' desire to analyze the supply chain management in "chokhi Dhani village" resort using exploratory factor analysis for audience behavior intelligence identification using an intelligent IoT model. This innovative IoT model greatly impacted the Indian Perspective of culture concerning supply chain management. This research uses the Intelligent IoT model exploratory factor analysis against the "Chokhi Dhani village" resort to know the different services needed to maintain the audience behavior on culture meet or regard with the resort. This analysis will reflect the audience behavior regarding the intelligent identification using the Intelligent IoT model concerning the creation of the IoT model for "Attitude analysis" to determine practical exploratory factor analysis. Five modes are created based on the other user's Attitude analyses—namely Model of (Teenagers, influence peoples, children, senescence, and disability persons Attitude analysis. Moreover, the IoT general idea enforced each person's Attitude analysis to investigate the state of connectedness between the different audiences. The independent variables had a combined exploratory factor analysis variance of 52%; the most significant variance was found in finding meaning (24.78%), linking ideas (42.3%), using evidence (55.67%), being interested in ideas (68.3%), and evaluating effectiveness (70.5%). The outcome generated some viewership and percentage. The number of viewers and the percentage used to gauge central tendency is the foundations for audience behavior identification. The audience ranges in age from 5 to 21, and the enhanced accuracy is 41%. By applying the Log-Likelihood Test, the accuracy of this logistic regression model have assessed for any create (46%), comedy (22%), historical (10%), message-oriented (18%), musical (36%), biographical (24%) and social (64%).

Suggested Citation

  • Rolyana Ferinia & Dasari Lokesh Sai Kumar & B. Santhosh Kumar & Bala Anand Muthu & Renas Rajab Asaad & Jaya Subalakshmi Ramamoorthi & J. Alfred Daniel, 2023. "Factors determining customers desire to analyse supply chain management in intelligent IoT," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-25, March.
    • Handle: RePEc:spr:jcomop:v:45:y:2023:i:2:d:10.1007_s10878-023-01007-8
    DOI: 10.1007/s10878-023-01007-8
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    References listed on IDEAS

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    1. Mimmie C Ngum Chi Watts & Pranee Liamputtong & Mary Carolan, 2014. "Contraception knowledge and attitudes: truths and myths among African Australian teenage mothers in Greater Melbourne, Australia," Journal of Clinical Nursing, John Wiley & Sons, vol. 23(15-16), pages 2131-2141, August.
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