Share:


Navigating the digital landscape: situation and risk assessment of digital solutions in forwarding companies

    Indrė Lapinskaitė Affiliation
    ; Neda Ingaunytė Affiliation
    ; Vaida Zemlickienė Affiliation
    ; Raimonda Martinkutė-Kaulienė Affiliation

Abstract

This research emphasises the transformative power of digital solutions in Lithuanian forwarding companies, addressing the necessity for a systematic risk assessment to optimise processes and mitigate associated risks. The survey indicates an increasing adoption of digital solutions, with around two-thirds of companies already utilising them. A case study employing the AHP method identifies three key digital solutions: invoice automation, waybill digitisation and blockchain. A combined solution called a “document flow and management system”, showed significant potential for time and cost savings. Three risks – synchronising participants, employee resistance, and a lack of specialists – are identified as having the highest overall assessment and were selected for further analysis while implementing the prioritised digital solution. The expert evaluation identifies employee resistance as the most probable risk, posing potential significant losses in the initial post-implementation phase. Although issues with synchronising participants could yield similar losses, experts view this risk as less probable than employee resistance. After the AHP analysis, it was decided to evaluate the current information and document flow process, in other words, to optimise the process. The optimisation results show that freight forwarding companies could reduce document management time by up to 59%.

Keyword : risk of digital solutions, FinTech solutions, forwarding companies, supply-chain

How to Cite
Lapinskaitė, I., Ingaunytė, N., Zemlickienė, V., & Martinkutė-Kaulienė, R. (2024). Navigating the digital landscape: situation and risk assessment of digital solutions in forwarding companies. Technological and Economic Development of Economy, 30(4), 976–1008. https://doi.org/10.3846/tede.2024.21366
Published in Issue
May 29, 2024
Abstract Views
341
PDF Downloads
321
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Arsan, T., Bisson, C., Yönet, M., Mimarisi, Y., Ophe Bisson, C., Bozkus, Z., & Bozkuş, Z. (2009). Analytical expense management system. In First International Conference on Networked Digital Technologies (pp. 527–532). Ostrava. https://doi.org/10.1109/NDT.2009.5272148

Ayub, M., & Mehar, K. (2021). Bridge financing during covid-19 pandemics: Nexus of FDI, external borrowing and fiscal policy. Transnational Corporations Review, 13(1), 109–124. https://doi.org/10.1080/19186444.2020.1866377

Ballestar, M. T., Camiña, E., Díaz-Chao, A., & Torrent-Sellens, J. (2021). Productivity and employment effects of digital complementarities, Journal of Innovation & Knowledge, 6(3), 177–190. https://doi.org/10.1016/j.jik.2020.10.006

Barmuta, K. A., Akhmetshin, E. M., Andryushchenko, I. Y., Tagibova, A. A., Meshkova, G. V., & Zekiy, A. O. (2020). Problems of business processes transformation in the context of building digital economy. Entrepreneurship and Sustainability Issues, 8(1), 945–959. https://doi.org/10.9770/jesi.2020.8.1(63)

Barrett, M., Davidson, E., Prahbu, J., & Vargho, S. L. (2015). Service innovation in the digital age: Key contributions and future directions. MIS Quarterly, 39(1), 135–154. https://doi.org/10.25300/misq/2015/39:1.03

Bekmurzaev, I., Kurbanov, A., Kurbanov, T., Plotnikov, V., & Ushakova, E. (2020). Digital technologies of marketing logistics and risks of their implementation in supply chain. IOP Conference Series: Materials Sciene and Engineering, 940, Article 012064. https://doi.org/10.1088/1757-899X/940/1/012064

Berger, R. (2016). Skill development for Industry 4.0. BRICS Skill Development Working Group.

Bickauske, D., Simanaviciene, Z., Jakubavicius, A., Vilys, M., & Mykhalchyshyna, L. (2020). Analysis and perspectives of the level of enterprises digitalization (Lithuanian manufacturing sector case). Independent Journal of Management & Production, 11(9), 2291–2307. https://doi.org/10.14807/ijmp.v11i9.1404

Canco, I., Kruja, D., & Iancu, T. (2021). AHP, a reliable method for quality decision making: A case study in business. Sustainability, 13, Article 13932. https://doi.org/10.3390/su132413932

Casado, J. M. P., Funes, A. G., & Garcia-Doncel, J. G. (2021). Digital transformation: Advantages and opportunities of E-CMR in international cargo logistics. ESIC Digital Economy and Innovation Journal, 1(1), 84–102. https://doi.org/10.55234/edeij-1-1-004

Casanova, D., Dierker, D., Jensen, B., & Stoffels, J. (2022). The multi-billion-dollar paper jam: Unlocking trade by digitalizing documentation. McKinsey’s Travel, Logistics & Infrastructure Practice (pp. 1–8).

Chakuu, S., Masi, D., & Godsell, J. (2020). Towards a framework on the factors conditioning the role of logistics service providers in the provision of inventory financing. International Journal of Operations and Production Management, 40(7–8), 1225–1241. https://doi.org/10.1108/IJOPM-06-2019-0502

Cichosz, M., Wallenburg, C. M., & Knemeyer, A. M. (2020). Digital transformation at logistics service providers: Barriers, success factors and leading practices. The International Journal of Logistics Management, 31(2), 209–238. https://doi.org/10.1108/IJLM-08-2019-0229

Civil Code of the Republic of Lithuania, Pub. L. No. VIII–1864. (2000). https://e-seimas.lrs.lt/portal/legalAct/lt/TAD/TAIS.245495

Cochran, W. G. (1977). Sampling techniques (3rd ed.). John Wiley & Sons.

Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: Implications for operations and supply chain management. Supply Chain Management, 24(4), 469–483. https://doi.org/10.1108/SCM-09-2018-0309

Darko, A., Chuen Chan, A. P., Ameyaw, E. E., Owusu, E. K., Pärn, E., & Edwards, D. J. (2019) Review of application of analytic hierarchy process (AHP) in construction. International Journal of Construction Management, 19(5), 436-452. https://doi.org/10.1080/15623599.2018.1452098

Duijm, N. J. (2015). Recommendations on the use and design of risk matrices. Safety Science, 76, 21–31. https://doi.org/10.1016/j.ssci.2015.02.014

Farooque, M., Zhang, A., & Thürer, M. (2019). Circular supply chain management: A definition and structured literature review. Journal of Clearner Production, 228, 882–900. https://doi.org/10.1016/j.jclepro.2019.04.303

Franco, M., & Almeida, J. (2011). Organisational learning and leadership styles in healthcare organisations. Leadership & Organization Development Journal, 32(8), 782–806. https://doi.org/10.1108/01437731111183739

Franek, J., & Kresta, A. (2014). Judgment scales and consistency measure in AHP. Procedia Economics and Finance, 12, 164–173. https://doi.org/10.1016/S2212-5671(14)00332-3

Gai, K., Qiu, M., & Sun, X. (2018). A survey on FinTech. Journal of Network and Computer Applications, 103, 262–273. https://doi.org/10.1016/J.JNCA.2017.10.011

Gajbhiye, A., & Shrivastva, K. M. P. (2014). Cloud computing: Need, enabling technology, architecture, advantages and challenges. In 2014 5th International Conference – Confluence The Next Generation Information Technology Summit (Confluence) (pp. 1–7). https://doi.org/10.1109/CONFLUENCE.2014.6949224

Guerpinar, T., Harre, S., Henke, M., Saleh, F., Kersten, W., Blecker, T., & Ringler, C. M. (2020). Blockchain technology: Integration in supply chain processes. Hamburg International Conference of Logistics (HICL), 29, 153–185. https://doi.org/10.15480/882.3117

Heckmann, I., Comes, T., & Nickel, S. (2015). A critical review on supply chain risk – Definition, measure and modeling. Omega, 52, 119–132. https://doi.org/10.1016/j.omega.2014.10.004

Herczeg, G., Akkerman, R., & Hauschild, M. Z. (2018). Supply chain collaboration in industrial symbiosis networks. Journal of Cleaner Production, 171, 1058–1067. https://doi.org/10.1016/j.jclepro.2017.10.046

Herold, D. M., Ćwiklicki, M., Pilch, K., & Mikl, J. (2021). The emergence and adoption of digitalization in the logistics and supply chain industry: An institutional perspective. Journal of Enterprise Information Management, 34(6), 1917–1938. https://doi.org/10.1108/JEIM-09-2020-0382

Hohenstein, N.-O. (2022). Supply chain risk management in the COVID-19 pandemic: Strategies and empirical lessons for improving global logistics service providers’ performance. The International Journal of Logistics Management, 33(4), 1336–1365. https://doi.org/10.1108/IJLM-02-2021-0109

Holland Fintech & Dinalog. (2017). Best practises: Fintech solutions for logistics challenges (pp. 1–8). www.raabkarcher.nl

International Organisation for Standardisation. (2009). Risk management – Principles and guidelines (ISO 31000:2009). https://www.iso.org/obp/ui/#iso:std:iso:31000:ed-1:v1:en

Jabbar, S., Lloyd, H., Hammoudeh, M., Adebisi, B., & Raza, U. (2021). Blockchain-enabled supply chain: analysis, challenges, and future directions. Multimedia Systems, 27(4), 787–806. https://doi.org/10.1007/s00530-020-00687-0

Kenyon, T. (2021). What is the impact of digital transformation on fintech? FinTech Magazine. https://fintechmagazine.com/sustainability/what-impact-digital-transformation-fintech

Kodym, O., Kubáč, L., & Kavka, L. (2020). Risks associated with Logistics 4.0 and their minimization using Blockchain. Open Engineering, 10(1), 74–85. https://doi.org/10.1515/eng-2020-0017

Kontautaitė, D., & Zinkevičiūtė, V. (2013). Ekspedicinių įmonių veiklos kokybės gerinimo poreikis ir galimybės. Mokslas – Lietuvos ateitis, 5(1), 22–28. https://doi.org/10.3846/mla.2013.04

Korchagina, E., Kalinina, O., Burova, A., & Ostrovskaya, N. (2020). Main logistics digitalization features for business. E3S Web of Conferences, 164, Article 10023. https://doi.org/10.1051/e3sconf/202016410023

Kottler, F. (2018). Potential and barriers to the implementation of blockchain technology in supply chain management. SSRN. https://doi.org/10.2139/ssrn.3231695

Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. https://doi.org/10.1016/J.BUSHOR.2017.09.003

Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing – The business perspective. Decision Support Systems, 51(1), 176–189. https://doi.org/10.1016/j.dss.2010.12.006

Menzefricke, J. S., Wiederkehr, I., Koldewey, Ch., & Dumitrescu, R. (2021). Socio-technical risk management in the age of digital transformation – identification and analysis of existing approaches. Procedia CIRP, 100, 708–713. https://doi.org/10.1016/j.procir.2021.05.094

Mikl, J., Kummer, S., Breitbarth, T., & Herold, D. (2021). Start-ups in the logistics industry: Advancing a framework for the disruptive potential of digital freight forwarder platforms (DFFs). In 8th International Conference on New Ideas in Management, Economics and Accounting (pp. 1–12). https://doi.org/10.33422/8th.imeaconf.2021.03.61

Moșteanu, N. R. (2019). International financial markets face to face with Artificial Intelligence and digital era. Theoretical and Applied Economics, XXVI(3), 123–134.

Muchahari, M., & Sinha, S. (2013). A survey on web services and trust in cloud computing environment. In National Workshop on Network Security 2013, Tezpur University.

Olanrewaju, T., & Willmott, P. (2013). Finding your digital sweet spot. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/finding-your-digital-sweet-spot

Pernestål, A., Engholm, A., Bemler, M., & Gidofalvi, G. (2020). How will digitalization change road freight transport? Scenarios tested in Sweden. Sustainability, 13(1), Article 304. https://doi.org/10.3390/su13010304

Plotnikov, V., Makarov, I., Shamrina, I., & Shirokova, O. (2019). Transport development as a factor in the economics security of regions and cities. E3S Web of Conference, 91, Article 05032. https://doi.org/10.1051/e3sconf/20199105032

Raza, Z., Woxenius, J., Vural, C. A., & Lind, M. (2023). Digital transformation of maritime logistics: Exploring trends in the liner shipping segment. Computers in Industry, 145, Article 103811. https://doi.org/10.1016/j.compind.2022.103811

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281. https://doi.org/10.1016/0022-2496(77)90033-5

Saaty, T. (1980). The analytic hierarchy process (AHP) for decision making [PowerPoint slides]. Kobe, Japan. http://www.cashflow88.com/decisiones/saaty1.pdf

Saberi, S., Kouhizadeh, M., Sarkis, J., Shen, L., & Foisie, R. A. (2018). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135. https://doi.org/10.1080/00207543.2018.1533261

Sari, E. A. P. (2022). The process of handling pesticide imports on the red line by freight forwarding. Journal of Maritime Logistics, 2(2), 31–39. https://doi.org/10.46754/jml.2022.12.003

Sarkis, J., & Zhu, Q. (2018). Environmental sustainability and production: Taking the road less travelled. International Journal of Production Research, 56(1–2), 743–759. https://doi.org/10.1080/00207543.2017.1365182

Schwab, K. (2017). The fourth industrial revolution. Currency.

Seyedan, M., & Mafakheri, F. (2020). Predictive big data analytics for supply chain demand forecasting: Methods, applications, and research opportunities. Journal of Big Data, 7(1). https://doi.org/10.1186/S40537-020-00329-2

Shang, C., Jiang, J., Zhu, L., & Saeidi, P. (2023). A decision support model for evaluating risks in the digital economy transformation of the manufacturing industry. Journal of Innovation & Knowledge, 8(3), Article 100393. https://doi.org/10.1016/j.jik.2023.100393

Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet Things, 3(5), 637–646. https://doi.org/10.1109/JIOT.2016.2579198

Silberg, J., & Manyika, J. (2019). Notes from the AI frontier: Tackling bias in AI (and in humans). McKinsey Global Institute.

Soleymanian, M., Weinberg, C. B., & Zhu, T. (2019). Sensor data and behavioral tracking: Does usage-based auto insurance benefit drivers? Marketing Science, 38(1), 21–43. https://doi.org/10.1287/mksc.2018.1126

Somapa, S., Cools, M., & Dullaert, W. (2018). Characterizing supply chain visibility – a literature review. The International Journal of Logistics Management, 29(1), 308–339. https://doi.org/10.1108/IJLM-06-2016-0150

Su, J., Sheng, Z., Member, S., Liu, A. X., Fu, Z., & Chen, Y. (2020). A time and energy saving-based frame adjustment strategy (TES-FAS) tag identification algorithm for UHF RFID systems. IEEE Transactions on Wireless Communications, 19(5), 2974–2986. https://doi.org/10.1109/TWC.2020.2969634

Sullivan, M., & Kern, J. (2021). The digital transformation of logistics. Demystifying impacts of the fourth industrial revolution. IEEE Press. https://doi.org/10.1002/9781119646495

Tavana, M., Shaabani, A., Raeesi Vanani, I., & Kumar Gangadhari, R. (2022). A review of digital transformation on supply chain process management using text mining. Processes, 10(5), Article 842. https://doi.org/10.3390/pr10050842

Tipping, A., & Kauschke, P. (2016). Shifting patterns: The future of the logistics industry. PwC. https://www.pwc.com/sg/en/publications/assets/future-of-the-logistics-industry.pdf

Upadhyay, T., Chauhan, S., & Sinha, U. (2021). Invoice processing automation. EasyChair.

Wamba, S. F., Kamdjoug, J. R. K., Bawack, R. E., & Keogh, J. G. (2020). Bitcoin, blockchain and Fintech: a systematic review and case studies in the supply chain. Production Planning & Control, 31(2–3), 115–142. https://doi.org/10.1080/09537287.2019.1631460

Wang, Y., & Sarkis, J. (2021). Emerging digitalisation technologies in freight transport and logistics: Current trends and future directions. Transportation Research Part E: Logistics and Transportation Review, 148, 1–8. https://doi.org/10.1016/j.tre.2021.102291

Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The Internet of Things – A survey of topics and trends. Information Systems Frontiers, 17(2), 261–274. https://doi.org/10.1007/s10796-014-9489-2