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Source: Journal Citation ReportsTM from ClarivateTM 2022

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2022) 1.7
Journal Citation IndicatorTM (2022) 0.42
Received: 2023-05-11  |  Accepted: 2023-09-18  |  Published: 2023-09-30

Title

The Role of ICT in transport and logistics processes management


Abstract

The complexity of managing transport and logistics processes is a massive challenge in finding optimal management solutions that meet the requirements of green development. There are questions about management support for transport and logistics processes. In addition, the subtleties of developing solutions for maintaining existing transport and logistics activities highlight the complex nature of transport and logistics management processes. The article focuses on applying advanced solutions for the practical management of transport and logistics processes. In the transport and logistics sector, an increase in new suppliers of telemetry systems is observed every day, which has been going on for 4-5 years, and this is statistically visible in the IAA Transportation 2022 records of one of the largest biennial transport and logistics exhibitions. There is an evident growth in the number of participants of manufacturers and service providers of telemetry systems, which since the exhibition held in 2016 has more than doubled, while around the world, the number of new companies supplying telemetry systems has increased to more than 300 per year. The growth of competitiveness also impacts the development of functions that provide new opportunities for customers to make their business more efficient or to receive services that ensure a comfortable life. Digital information generated by vehicles, which, when systematized, is presented to the end driver, is gradually becoming the future of this area of business and leads to responsible resource utilization, monitoring, control, and utilization of user-friendly technologies, leading toward a more sustainable future. An analysis of scientific papers has proven that the theoretical link exists between telemetry systems and their application in the transport sector; however, the judge research gap is in applying different quantitative methods for solving transport problems with the help of telemetry solutions.


Keywords

transport, telemetry, telematics, information platform, information, ICT, management


JEL classifications

R40 , O31 , O32


URI

http://jssidoi.org/jesi/article/1115


DOI


Pages

251-267


Funding

Project received funding from the European Regional Development Fund (project No 01.2.2-LMT-K-718-03-0030) under the grant agreement with the Research Council of Lithuania (LMTLT).

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Burinskienė, Aurelija
Vilnius Gediminas Technical University (VILNIUS TECH), Vilnius, Lithuania https://vilniustech.lt
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

11


Number

1


Issue date

September 2023


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 585  |  PDF downloads: 303

References


Abdelghafar, S., Khater, A., Wagdy, A., Darwish, A., & Hassanien, A. E. (2022). Aero engines remaining useful life prediction based on enhanced adaptive guided differential evolution. Evolutionary Intelligence, 1-12. https://doi.org/10.1007/s12065-022-00805-z

Search via ReFindit


Ali, J., & Zafar, M. H. (2023). Improved End-to-end service assurance and mathematical modeling of message queuing telemetry transport protocol based massively deployed fully functional devices in smart cities. Alexandria Engineering Journal, 72, 657-672. https://doi.org/10.1016/j.aej.2023.04.014

Search via ReFindit


Alstyne, M. W., Parker, G. G., & Choudary, S.P. (2016) Pipelines, platforms, and new strategy rules. Harward Business Review, 94(4), 54-62.

Search via ReFindit


Anjum, M., Shahab, S., & Umar, M. S. (2022). Smart waste management paradigm in perspective of IoT and forecasting models. International Journal of Environment and Waste Management, 29(1), 34-79. https://doi.org/10.1504/IJEWM.2022.120621

Search via ReFindit


Atkins, R., & Gianiodis, P. (2022). An investigation at the intersection of the sharing economy and supply chain management: a strategic perspective. International Journal of Logistics Research and Applications, 25(11), 1425-1443. https://doi.org/10.1080/13675567.2021.1911970

Search via ReFindit


Attaran, M. (2023). The impact of 5G on the evolution of intelligent automation and industry digitization. Journal of Ambient Intelligence and Humanized Computing, 14(5), 5977-5993. https://doi.org/10.1007/s12652-020-02521-x

Search via ReFindit


Barbosa-Povoa, A.P., daSilva, C., Carvalho, A. (2018). Opportunities and challenges in sustainable supply chain: an operations research perspective. European Journal of Operational Research, 268(2), 399-431. https://doi.org/10.1016/j.ejor.2017.10.036

Search via ReFindit


Bhamare, D., Kassler, A., Vestin, J., Khoshkholghi, M. A., & Taheri, J. (2019Intopt: In-band network telemetry optimization for nfv service chain monitoring. In ICC 2019-2019 IEEE International Conference on Communications (ICC) (pp. 1-7). IEEE. https://doi.org/10.1109/ICC.2019.8761722

Search via ReFindit


Booysen, M.J., Gilmore J., Zeadally S., & Van Rooyen, G.J. (2012). Machine-to-machine (M2M) communications in vehicle networks, KSII transactions in Internet and information systems 6-2, 529-546. https://doi.org/10.3837/tiis.2012.02.005

Search via ReFindit


Castro, A. G., Lorenzon, A. F., Rossi, F. D., da Costa Filho, R. I., Ramos, F. M., Rothenberg, C. E., & Luizelli, M. C. (2021). Near-optimal probing planning for in-band network telemetry. IEEE Communications Letters, 25(5), 1630-1634. https://doi.org/10.1109/LCOMM.2021.3053485

Search via ReFindit


Choi, T. M., Guo, S., Liu, N., Shi, X. (2019). Values of Food Leftover Sharing Platforms in the Sharing Economy. International Journal of Production Economics, 213, 23-31. https://doi.org/10.1016/j.ijpe.2019.03.005

Search via ReFindit


Dallanora, L. M., Castro, A. G., da Costa Filho, R. I., Rossi, F. D., Lorenzon, A. F., & Luizelli, M. C. (2022, June). Dypro: Dynamic probing planning for in-band network telemetry. In 2022 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE. https://doi.org/10.1109/ISCC55528.2022.9912881

Search via ReFindit


Dano, F., Khouri, S., Drabik, P., Vernerova, V., & Kukura, M. (2021). Electromobility as a Part of Communally Beneficial Innovations in Transport and its Perception by Slovak Consumers. Transformations in Business & Economics, Vol. 20, No 3 (54), pp.132-150.

Search via ReFindit


Darbali-Zamora, R., Johnson, J., Summers, A., Jones, C. B., Hansen, C., & Showalter, C. (2021). State estimation-based distributed energy resource optimization for distribution voltage regulation in telemetry-sparse environments using a real-time digital twin. Energies, 14(3), 774. https://doi.org/10.3390/en14030774

Search via ReFindit


De Rango, F., Potrino, G., Tropea, M., & Fazio, P. (2020). Energy-aware dynamic Internet of Things security system based on Elliptic Curve Cryptography and Message Queue Telemetry Transport protocol for mitigating Replay attacks. Pervasive and Mobile Computing, 61, 10-105. https://doi.org/10.1016/j.pmcj.2019.101105

Search via ReFindit


Demir, S.P. (2020). Logistics 4.0: SCM in Industry 4.0 Era:(Changing Patterns of Logistics in Industry 4.0 and role of digital transformation in SCM). In Logistics 4.0, pp. 15-26. https://doi.org/10.1201/9780429327636-3

Search via ReFindit


Dolgui, A.I. (2018). Ripple efect in the supply chain: an analysis and recent literature. International Journal of Production Research, 56(1-2), 414-430. https://doi.org/10.1080/00207543.2017.1387680

Search via ReFindit


Du, S., Wang, L., Hu, L., Zhu, Y. (2019). Platform-led Green Advertising: Promote the Best or Promote by Performance. Transportation Research Part E: Logistics and Transportation Review, 128, 115-131. https://doi.org/10.1016/j.tre.2019.05.019

Search via ReFindit


Englebrecht, J., Booysen, M.J., Van Rooyen, G.J., & Bruwer, F.J. (2014). Study of Smarphone-based sensors in vehicles for ITS applications, Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa, December

Search via ReFindit


Eriksson J., Girod L., Hull B., Newton R., Madden S., &; Balakrishnan H. Pit Patrol: The Use of a Mobile Sensor Network for Road Surface Monitoring, in: Material of the 6th International Conference on Mobile Systems, Applications, 21 and Services, ACM, 2008, pp. 29-39.

Search via ReFindit


Evans, D.S., & Schmalensee, R. (2016). Matchmakers: A new multi-platform economy. Harward's business reviews press.

Search via ReFindit


Evans, J. M., Black, J., & Doyle, D. (2020). Spacecraft Discrete-Event Network Simulator. In ASCEND 2020 (p. 4220). https://doi.org/10.2514/6.2020-4220

Search via ReFindit


Fam, M. L., Tay, Z. Y., & Konovessis, D. (2021, September). An artificial neural network based decision support system for cargo vessel operations. In Proceedings of the 31st European Safety and Reliability Conference, Angers, France (pp. 19-23). https://doi.org/10.3850/978-981-18-2016-8_758-cd

Search via ReFindit


Froiz-Míguez, I., Fernández-Caramés, T. M., Fraga-Lamas, P., & Castedo, L. (2018). Design, implementation and practical evaluation of an IoT home automation system for fog computing applications based on MQTT and ZigBee-WiFi sensor nodes. Sensors, 18(8), 2660. https://doi.org/10.3390/s18082660

Search via ReFindit


Guenkova, M., &; Luy I. (2015). United States Telematics System Patent, US9,201,844 B2, December 1.

Search via ReFindit


Hassanien, A. E., Darwish, A., & Abdelghafar, S. (2020). Machine learning in telemetry data mining of space mission: basics, challenging and future directions. Artificial Intelligence Review, 53, 3201-3230. https://doi.org/10.1007/s10462-019-09760-1

Search via ReFindit


Hodapp, D., Hawlitschek, F., Wortmann, F., Lang, M., & Gassmann, O. (2022). Key Lessons from Bosch for Incumbent Firms Entering the Platform Economy. MIS Quarterly Executive, 21(2). https://doi.org/10.17705/2msqe.00061

Search via ReFindit


Hu, P., Schmitt, R. R., Schwarzer, J., & Moore, W. H. (2021). Transportation statistics annual report 2021.

Search via ReFindit


Hunkeler, U., Truong, H. L., & Stanford-Clark, A. (2008, January). MQTT-S-A publish/subscribe protocol for Wireless Sensor Networks. In 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE'08) (pp. 791-798). IEEE. https://doi.org/10.1109/COMSWA.2008.4554519

Search via ReFindit


Jadon, S., Milczek, J. K., & Patankar, A. (2021). Challenges and approaches to time-series forecasting in data center telemetry: A Survey. arXiv preprint arXiv:2101.04224. https://doi.org/10.1109/SmartNets50376.2021.9555422

Search via ReFindit


Ji, M., Su, C., Yan, Y., Qian, Z., Zhang, S., Chen, Y., ... & Ye, B. (2023). Adaptive Provisioning In-band Network Telemetry at Computing Power Network. In 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS) (pp. 1-2). IEEE. https://doi.org/10.1109/IWQoS57198.2023.10188738

Search via ReFindit


Johnson, D. A., & Trivedi, M. M. (2021). Driving style recognition using a smartphone as a sensor platform, in: 14th International Conference on Intelligent Transportation Systems (ITSC), IEEE, pp. 1609-1615. https://doi.org/10.1109/ITSC.2011.6083078

Search via ReFindit


Kherbache, M., Maimour, M., & Rondeau, E. (2023). IoT network digital twins modeling using Petri nets. In 1er Congrès annuel de la Société d'Automatique de Génie Industriel et de Productique, SAGIP 2023.

Search via ReFindit


Kristiansen, E. (2019). Strategies for search and detection of acoustic transmitters using unmanned surface vehicle (Master's thesis, NTNU).

Search via ReFindit


Laine, E., Alhava, O., Peltokorpi, A., & Seppänen, O. (2017). Platform ecosystems: unlocking the subcontractors’ business model opportunities. In Proceedings for the 25th Annual Conference of the International Group for Lean Construction. Heraklion, Greece (pp. 177-184). https://doi.org/10.24928/2017/0325

Search via ReFindit


Light, A., & Miskelly, C. (2015). Sharing Economy vs Sharing Cultures? Designing for social, economic and environmental good. IxD&A, 24, 49-62. https://doi.org/10.55612/s-5002-024-003

Search via ReFindit


Light, R. A. (2017). Mosquitto: server and client implementation of the MQTT protocol. Journal of Open Source Software, 2(13), 265. https://doi.org/10.21105/joss.00265

Search via ReFindit


Lin, X., & Li, H. (2019). Adaptive control strategy extracted from dynamic programming and combined with driving pattern recognition for SPHEB. International Journal of Automotive Technology, 20, 1009-1022. https://doi.org/10.1007/s12239-019-0095-7

Search via ReFindit


Liu, L., Anwar, A., Irmak, E., & Pelit, I. (2022). Asymmetric linkages between public-private partnership, environmental innovation, and transport emissions. Economic Research-Ekonomska Istraživanja, 35(1), 6519-6540. https://doi.org/10.1080/1331677X.2022.2049979

Search via ReFindit


Lorenc, A., & Burinskiene, A. (2021). Improve the orders picking in e-commerce by using WMS data and BigData analysis. FME Transactions. 49(1), p. 233-243. https://doi.org/10.5937/fme2101233L

Search via ReFindit


Mishra, B., & Kertesz, A. (2020). The use of MQTT in M2M and IoT systems: A survey. IEEE Access, 8, 201071-201086. https://doi.org/10.1109/ACCESS.2020.3035849

Search via ReFindit


Moazed, A., & Johnson, N.L. (2016). Modern monopolies: what is needed to dominate the 21stCentury exonomy. Martyn's Press.

Search via ReFindit


Musaigwa, M., & Mutula, S. (2022). Impact of digital transformation on strategy in the insurance sector. International Journal of Research in Business and Social Science, 11(4), 69-76. https://doi.org/10.20525/ijrbs.v11i4.1781

Search via ReFindit


Naik, N. (2017). Choice of effective messaging protocols for IoT systems: MQTT, CoAP, AMQP and HTTP. In 2017 IEEE international systems engineering symposium (ISSE) (pp. 1-7). IEEE. https://doi.org/10.1109/SysEng.2017.8088251

Search via ReFindit


Nowicka, K. (2021). 3 Platforms in supply chain management. Disruptive Platforms: Markets, Ecosystems, and Monopolists, 39. eBook ISBN9781003207481.

Search via ReFindit


Othman, W., Kashevnik, A., Ali, A., & Shilov, N. (2022). DriverMVT: In-cabin dataset for driver monitoring including video and vehicle telemetry information. Data, 7(5), 62. https://doi.org/10.3390/data7050062

Search via ReFindit


Parker, G., Van Alstyne, M.W., & Choudary S.P. (2016). The platform revolution: how network markets are changing the economy and how to make them work for you. WW Norton &; Company.

Search via ReFindit


Pearson, B., Zhang, Y., Zou, C., & Fu, X. (2022). FUME: Fuzzing Message Queuing Telemetry Transport Brokers. In IEEE INFOCOM 2022-IEEE Conference on Computer Communications (pp. 1699-1708). IEEE. https://doi.org/10.1109/INFOCOM48880.2022.9796755

Search via ReFindit


Pekuri A., Pekuri L. & Haapasalo, H. (2013). The role of business models in Finnish construction companies. Economics and Construction of Construction, 13(3), 13-23. https://doi.org/10.5130/AJCEB.v13i3.3402

Search via ReFindit


Peng, D., Zhao, Z., Wu, G., & Boriboonsomsin, K. (2023). Bi-Level Fleet Dispatching Strategy for Battery-Electric Trucks: A Real-World Case Study. Sustainability, 15(2), 925. https://doi.org/10.3390/su15020925

Search via ReFindit


Pereira, I., Dominicini, C. K., Guimarães, R. S., Villaça, R. S., Almeida, L. R., & Vassoler, G. (2023, March). MPolKA-INT: Stateless Multipath Source Routing for In-Band Network Telemetry. In International Conference on Advanced Information Networking and Applications (pp. 513-524). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-28451-9_45

Search via ReFindit


Porter, B., Linse, M., & Barasz Z. (2015). Six transport trends that will change our movement. Forbes

Search via ReFindit


Qu, F., Jiang, Q., Jin, G., Wei, Y., & Wang, Z. (2021). Noise cancellation for continuous wave mud pulse telemetry based on empirical mode decomposition and particle swarm optimization. Journal of Petroleum Science and Engineering, 200, 108308. https://doi.org/10.1016/j.petrol.2020.108308

Search via ReFindit


Roussat, C., Carbone, V., & Rouquet, A. (2023). Conceptualizing sharing supply chains-lessons from an exemplary case. International Journal of Operations & Production Management, 43(3), 466-488. https://doi.org/10.1108/IJOPM-10-2021-0670

Search via ReFindit


Singh, M., Rajan, M. A., Shivraj, V. L., & Balamuralidhar, P. (2015). Secure MQTT for internet of things (iot). In 2015 fifth international conference on communication systems and network technologies (pp. 746-751). IEEE. https://doi.org/10.1109/CSNT.2015.16

Search via ReFindit


Stank T., Autry C., Daugherty P., &; Closs D. (2015). Rethink the 10 megatensions that will revolutionize supply chain logistics. Transport Log, 54, 7-32. https://doi.org/10.5325/transportationj.54.1.0007

Search via ReFindit


Terán, J., Navarro, L., Quintero M, C. G., & Pardo, M. (2020). Intelligent driving assistant based on road accident risk map analysis and vehicle telemetry. Sensors, 20(6), 1763. https://doi.org/10.3390/s20061763

Search via ReFindit


Thangavel, D., Ma, X., Valera, A., Tan, H. X., & Tan, C. K. Y. (2014). Performance evaluation of MQTT and CoAP via a common middleware. In 2014 IEEE ninth international conference on intelligent sensors, sensor networks and information processing (ISSNIP) (pp. 1-6). IEEE. https://doi.org/10.1109/ISSNIP.2014.6827678

Search via ReFindit


Wallace, S., & Lăzăroiu, G. (2021). Predictive control algorithms, real-world connected vehicle data, and smart mobility technologies in intelligent transportation planning and engineering. Contemporary Readings in Law and Social Justice, 13(2), 79-92. https://doi.org/10.22381/CRLSJ13220216

Search via ReFindit


Wei, S., Li, X., & Kai, L. (2021). Research on Architecture of Multi-space Telemetry Network System Based on Genetic Algorithm. In 2021 9th International Conference on Communications and Broadband Networking (pp. 217-221). https://doi.org/10.1145/3456415.3457226

Search via ReFindit


Yakimov, V. L., & Maltsev, G. N. (2022). Hybrid network structures and their use in diagnosing complex technical systems. Informatics and Automation, 21(1), 126-160. https://doi.org/10.15622/ia.2022.21.5

Search via ReFindit


Yin, X., Liu, Y., Zhang, E., Li, D., & Li, Z. (2022, December). An evaluation method for power multi-service 5G fusion application scheme based on fuzzy analytic hierarchy process. In 2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC) (pp. 823-827). IEEE. https://doi.org/10.1109/ICFTIC57696.2022.10075297

Search via ReFindit


Yokotani, T., & Sasaki, Y. (2016). Comparison with HTTP and MQTT on required network resources for IoT. In 2016 international conference on control, electronics, renewable energy and communications (ICCEREC) (pp. 1-6). IEEE. https://doi.org/10.1109/ICCEREC.2016.7814989

Search via ReFindit


Zhang, B.S., & Qi, R.K. (2021). Transportation Infrastructure, Innovation Capability, and Urban Economic Development. Transformations in Business & Economics, Vol. 20, No 3C (54C), pp.526-545

Search via ReFindit