Creating a Data-Driven Asset Tracking Model for Reducing Device Loss in Enterprise IT Operations

References

[1] Adebiyi, F. M., Akinola, A. S., Santoro, A., &Mastrolitti, S. (2017). Chemical analysis of resin fraction of Nigerian bitumen for organic and trace metal compositions. Petroleum Science and Technology, 35(13), 1370-1380.

[2] Adebiyi, F. M., Thoss, V., & Akinola, A. S. (2014). Comparative studies of the elements that are associated with petroleum hydrocarbon formation in Nigerian crude oil and bitumen using ICP-OES. Journal of sustainable energy engineering, 2(1), 10-18.

[3] Agyekum, K., Boahen, S., & Kotey, S. (2017). An IoT-based RFID inventory management system: A case study of asset control. International Journal of Computer Applications, 166(7), 1–7.

[4] Ahmed, A., & Mahmood, M. (2016). Big-data architecture for large-scale organizational asset monitoring. Journal of Big Data, 3(1), 15.

[5] Akinola, A. S., Adebiyi, F. M., Santoro, A., &Mastrolitti, S. (2018). Study of resin fraction of Nigerian crude oil using spectroscopic/spectrometric analytical techniques. Petroleum Science and Technology, 36(6), 429-436.

[6] Alletto, S., Cucchiara, R., Del Fiore, G., & Prati, A. (2016). Re-identification and RTLS for indoor tracking in enterprise spaces. IEEE Sensors Journal, 16(13), 5069–5079.

[7] Anand, P., & Saxena, S. (2018). A comparative evaluation of IoT asset tracking technologies for enterprise environments. Journal of Network and Systems Management, 26(4), 1023–1048.

[8] BABATUNDE, O. A., ADERIBIGBE, S. A., JAJA, I. C., BABATUNDE, O. O., ADEWOYE, K. R., DUROWADE, K. A., & ADETOKUNBO, S. (2014). Sexual activities and practice of abortion among public secondary school students in Ilorin, Kwara State, Nigeria. International Journal of Science, Environment and Technology, 3(4), 1472-1479.

[9] Barrett, R., & Kraus, M. (2014). Leveraging CMDB-integrated ITSM platforms for unified asset governance. Journal of Information Technology Management, 25(3), 45–58.

[10] Boss, S. R., Kirsch, L. J., Angermeier, I., Shingler, R. A., & Warkentin, M. (2015). Workplace security fatigue and device carelessness. Computers & Security, 48, 1–15.

[11] Bukhari, T.T., Oladimeji, O., Etim, E.D. & Ajayi, J.O., 2018. A Conceptual Framework for Designing Resilient Multi-Cloud Networks Ensuring Security, Scalability, and Reliability Across Infrastructures. IRE Journals, 1(8), pp.164-173. DOI: 10.34256/irevol1818

[12] Carroll, T., Richardson, S., & Hayes, B. (2015). Evaluating RFID, RTLS, and BLE tracking platforms for industrial asset visibility. IEEE Transactions on Industrial Informatics, 11(4), 940–948.

[13] Chen, L., Li, X., & Li, Z. (2016). An improved barcode-based item tracking framework for mobile enterprise environments. International Journal of Distributed Sensor Networks, 12(11), 1–12.

[14] Durowade, K. A., Adetokunbo, S., &Ibirongbe, D. E. (2016). Healthcare delivery in a frail economy: Challenges and way forward. Savannah Journal of Medical Research and Practice, 5(1), 1-8.

[15] Durowade, K. A., Babatunde, O. A., Omokanye, L. O., Elegbede, O. E., Ayodele, L. M., Adewoye, K. R., ... & Olaniyan, T. O. (2017). Early sexual debut: prevalence and risk factors among secondary school students in Ido-ekiti, Ekiti state, South-West Nigeria. African health sciences, 17(3), 614-622.

[16] Durowade, K. A., Omokanye, L. O., Elegbede, O. E., Adetokunbo, S., Olomofe, C. O., Ajiboye, A. D., ... & Sanni, T. A. (2017). Barriers to contraceptive uptake among women of reproductive age in a semi-urban community of Ekiti State, Southwest Nigeria. Ethiopian journal of health sciences, 27(2), 121-128.

[17] Durowade, K. A., Salaudeen, A. G., Akande, T. M., Musa, O. I., Bolarinwa, O. A., Olokoba, L. B., ... & Adetokunbo, S. (2018). Traditional eye medication: A rural-urban comparison of use and association with glaucoma among adults in Ilorin-west Local Government Area, North-Central Nigeria. Journal of Community Medicine and Primary Health Care, 30(1), 86-98.

[18] Erigha, E. D., Ayo, F. E., Dada, O. O., & Folorunso, O. (2017). INTRUSION DETECTION SYSTEM BASED ON SUPPORT VECTOR MACHINES AND THE TWO-PHASE BAT ALGORITHM. Journal of Information System Security, 13(3).

[19] Farid, Z., Nordin, R., & Ismail, M. (2015). Recent advances in indoor geolocation systems and technologies. Journal of Computer Networks and Communications, 2015, 1–12.

[20] Few, S. (2015). Data visualization for meaningful business dashboards. Analytics Press.

[21] Gartner. (2016). IT asset management modernization: Trends shaping the digital enterprise.

[22] Gholami, V., & Shafiee, M. (2016). Predictive analytics for equipment failure in large organizations. Reliability Engineering & System Safety, 152, 229–238.

[23] Greenwood, T., & Tesch, D. (2018). Cybersecurity risk assessment for mobile IT assets. MIS Quarterly Executive, 17(4), 289–307.

[24] Harris, K., & Davenport, T. (2014). Manual data entry risks in enterprise information systems. MIS Quarterly Executive, 13(3), 145–159.

[25] Haworth, D., & Ramaswamy, S. (2015). The evolution of IT asset lifecycle governance in large enterprises. Information Systems Management, 32(4), 295–308.

[26] Hodge, V., & Austin, J. (2018). A survey of outlier detection methodologies. Artificial Intelligence Review, 49(1), 1–45.

[27] Jin, J., Gubbi, J., Marusic, S., &Palaniswami, M. (2014). An information framework for creating a smart city through IoT. IEEE Internet of Things Journal, 1(2), 112–121.

[28] Johnson, D., & Buckley, P. (2018). An analysis of device loss within mobile-enabled enterprises. Journal of Information Security Research, 9(1), 22–35.

[29] Kang, D., Kim, J., & Lee, J. (2018). Enterprise endpoint monitoring platforms for IT asset compliance. Computers & Security, 78, 315–327.

[30] Keller, A., & König, C. (2018). Digital transformation and IT asset visibility: A systematic review. Journal of Enterprise Information Management, 31(6), 871–891.

[31] Kim, S., & Lee, J. (2017). Data governance strategies for enterprise analytics platforms. Information Systems Frontiers, 19(6), 1353–1367.

[32] Kim, S., & Park, H. (2017). IT audit alignment with regulatory requirements in asset management. Information Systems Control Journal, 45(3), 21–30.

[33] Kulkarni, S., & Dawkins, J. (2017). Location-based risk prediction using temporal mobility models. IEEE Transactions on Systems, Man, and Cybernetics, 47(9), 2496–2508.

[34] Kwon, D., et al. (2017). Deep learning approaches for anomaly detection in cyber-physical logs. IEEE Access, 5, 16976–16985.

[35] Luo, R. C., Hsiao, T., & Chang, C. C. (2018). Multi-sensor fusion for indoor real-time location tracking. IEEE Transactions on Industrial Electronics, 65(8), 6401–6409.

[36] Mell, P., & Kent, K. (2014). Guide to Computer Security Log Management. NIST Special Publication.

[37] Menson, W. N. A., Olawepo, J. O., Bruno, T., Gbadamosi, S. O., Nalda, N. F., Anyebe, V., ... &Ezeanolue, E. E. (2018). Reliability of self-reported Mobile phone ownership in rural north-Central Nigeria: cross-sectional study. JMIR mHealth and uHealth, 6(3), e8760.

[38] Mishra, A., & Tripathi, R. (2017). Automated ITSM workflows: A framework for intelligent service operations. International Journal of Information Management, 37(5), 463–472.

[39] Morrison, J., & Eriksen, T. (2014). Visual analytics frameworks for operational intelligence. Decision Support Systems, 59, 41–51.

[40] Nsa, B., Anyebe, V., Dimkpa, C., Aboki, D., Egbule, D., Useni, S., &Eneogu, R. (2018). Impact of active case finding of tuberculosis among prisoners using the WOW truck in North Central Nigeria. The International Journal of Tuberculosis and Lung Disease, 22(11), S444.

[41] Olamoyegun, M., David, A., Akinlade, A., Gbadegesin, B., Aransiola, C., Olopade, R., ... & Adetokunbo, S. (2015, October). Assessment of the relationship between obesity indices and lipid parameters among Nigerians with hypertension. In Endocrine Abstracts (Vol. 38). Bioscientifica.

[42] Olasehinde, O. (2018). Stock price prediction system using long short-term memory. In BlackInAI Workshop@ NeurIPS (Vol. 2018).

[43] Osabuohien, F. O. (2017). Review of the environmental impact of polymer degradation. Communication in Physical Sciences, 2(1).

[44] Patel, J., & Sharma, V. (2014). Enterprise IT governance and infrastructure rationalization. International Journal of Information Management, 34(6), 674–681.

[45] Patton, M. Q., & McMahon, J. (2014). Behavioral risks in organizational device handling. Journal of Workplace Studies, 29(3), 211–230.

[46] Pervez, H., Iqbal, M., & Ahmed, N. (2017). A performance comparison of indoor tracking technologies for secure enterprise mobility. Sensors, 17(11), 1–15.

[47] Redman, T. (2016). The problem of dirty data in organizational systems. Harvard Business Review, 94(6), 84–92.

[48] Rezaeian, A., & Khosrow-Pour, M. (2017). Weaknesses of non-automated IT inventory systems. International Journal of Enterprise Information Systems, 13(4), 1–15.

[49] Roy, S., & Mishra, A. (2015). Risk-scoring frameworks for classifying high-risk operational assets. Journal of Operational Risk, 10(1), 1–18.

[50] Santos, G., & Oliveira, M. (2016). Machine-learning approaches for detecting anomalous activities in enterprise systems. Expert Systems with Applications, 63, 143–156.

[51] Scholten, J., Eneogu, R., Ogbudebe, C., Nsa, B., Anozie, I., Anyebe, V., ... & Mitchell, E. (2018). Ending the TB epidemic: role of active TB case finding using mobile units for early diagnosis of tuberculosis in Nigeria. The international Union Against Tuberculosis and Lung Disease, 11, 22.

[52] Shin, S., & Lee, J. (2018). Enhancing enterprise mobility using RFID–GPS hybrid asset tracking systems. Journal of Network and Computer Applications, 109, 76–88.

[53] Shmueli, G., &Lichtendahl, K. (2018). Forecasting strategies for organizational risk modeling. International Journal of Forecasting, 34(2), 263–279.

[54] Shukla, N., & Matteson, D. (2015). Real-time data fusion models for enterprise operational intelligence. Decision Support Systems, 78, 120–131.

[55] Solomon, M., & Kim, J. (2016). Compliance frameworks and digital asset traceability. Journal of Cybersecurity, 3(2), 66–78.

[56] Solomon, O., Odu, O., Amu, E., Solomon, O. A., Bamidele, J. O., Emmanuel, E., &Parakoyi, B. D. (2018). Prevalence and risk factors of acute respiratory infection among under fives in rural communities of Ekiti State, Nigeria. Global Journal of Medicine and Public Health, 7(1), 1-12.

[57] Sun, Y., Liu, Z., & Peng, M. (2017). A location-intelligence framework for enterprise asset monitoring systems. Sensors, 17(10), 1–15.

[58] Taylor, J., &Vithayathil, J. (2018). Limitations of spreadsheet-based asset management. Journal of Information Technology Management, 29(2), 45–59.

[59] Wamba, S. F., & Queiroz, M. (2016). Industry 4.0 and IoT tracking systems: A comparative study of adoption readiness. International Journal of Production Economics, 182, 247–259.

[60] Wilson, T., & O’Leary, A. (2017). Portable device vulnerabilities in hybrid work environments. Information & Computer Security, 25(4), 516–531.

[61] YETUNDE, R. O., ONYELUCHEYA, O. P., & DAKO, O. F. (2018). Integrating Financial Reporting Standards into Agricultural Extension Enterprises: A Case for Sustainable Rural Finance Systems.

[62] Yigitbasioglu, O., & Velcu, O. (2018). Designing dashboard KPIs for managerial decision-making. International Journal of Accounting Information Systems, 28, 29–45.

[63] Zhang, H., Tang, J., & Li, S. (2016). Integrating asset lifecycle analytics with configuration management databases. Information Systems Frontiers, 18(6), 1225–1238.

[64] Zhang, Y., & Zhao, L. (2018). Integrating heterogeneous data streams for enterprise IoT management. Sensors, 18(10), 3562.

[65] Zhong, C., &Arisona, S. (2015). Detecting irregular movement patterns using spatiotemporal analytics. Computers, Environment and Urban Systems, 54, 1–14.

[66] Zhou, M., & Fei, X. (2017). Real-time system monitoring through interactive visualization. Information Visualization, 16(4), 283–298.

@article{1713056,
      author = {Taiwo Oyewole, Odunayo Mercy Babatope, Winner Mayo, Jolly I. Ogbole},
      title = {Creating a Data-Driven Asset Tracking Model for Reducing Device Loss in Enterprise IT Operations},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {8},
      pages = {211-227},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713056.pdf},
      abstract = {Device loss within enterprise IT environments poses significant financial, operational, and security risks, particularly as organizations expand their digital footprints across hybrid workplaces and distributed infrastructures. This review examines the development of a data-driven asset tracking model designed to minimize loss, enhance asset visibility, and strengthen lifecycle governance across enterprise IT operations. The study synthesizes existing literature on automated tracking technologies?such as RFID, IoT sensors, barcode systems, and real-time location systems (RTLS)?alongside data analytics methods applied in predictive asset monitoring. Emphasis is placed on how organizations can leverage centralized asset repositories, anomaly-detection algorithms, and machine-learning-based forecasting to proactively identify loss patterns, optimize inventory accuracy, and improve compliance with security and audit requirements. The paper further evaluates integration challenges, implementation barriers, data architecture constraints, and the role of organizational policies in enabling effective asset protection. Recommendations are provided for designing a scalable framework that incorporates advanced analytics, continuous monitoring, and closed-loop feedback mechanisms. This review aims to guide IT leaders, system administrators, and enterprise risk managers in adopting intelligent asset management strategies that reduce device loss and support efficient operational governance.},
      keywords = {Asset Tracking, Enterprise IT Operations, Data-Driven Decision Making, Predictive Analytics, Device Loss Prevention, IT Asset Management (ITAM).},
      month = {February},
      doi = {https://doi.org/10.64388/IREV1I8-1713056}
  }