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All issues Volume 227 (2026) SHS Web Conf., 227 (2026) 05005 References
Open Access
Issue
SHS Web Conf.
Volume 227, 2026
The 6th International Conference on Communication and Business (ICCB 2025)
Article Number 05005
Number of page(s) 12
Section Business, Technology, and Sustainable Innovation Ecosystems
DOI https://doi.org/10.1051/shsconf/202622705005
Published online 09 January 2026
  1. M. P. Marshall, “The psychology of business development,” Plating and Surface Finishing, vol. 94, no. 8, pp. 32–34, 2007. [Google Scholar]
  2. M. Voeth, J. Poelzl, and A. T. Eidhoff, “It’s all about growth -An empirical status report of business development,” Int J Entrep Innov Manag, vol. 22, no. 1–2, pp. 4–32, 2018, doi: 10.1504/IJEIM.2018.089713. [Google Scholar]
  3. J. Vuorela, M. Ollikainen, V. Salminen, and J. Varis, “Utilisation of Production Knowledge in Developing a Modern Customer-Oriented Project Business Environment,” Management and Production Engineering Review, vol. 13, no. 4, pp. 38–47, 2022, doi: 10.24425/mper.2022.142393. [Google Scholar]
  4. T. Crouser, “Case of a successful printer trying harder,” Quick Printing, vol. 27, no. 5, pp. 48–49, 2004. [Google Scholar]
  5. I. Laqua, “Lean administration and / or digitalization? | Lean Administration und/oder Digitalisierung?,” ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, vol. 113, no. 1–2, pp. 96–97, 2018, doi: 10.3139/104.111870. [Google Scholar]
  6. D. Doty, E. Sawyer, and P. Zarate, “Operators: Are your partners taking the digital transformation beyond the drill bit?,” World Oil, vol. 242, no. 9, pp. 49–51, 2021. [Google Scholar]
  7. L. Pirrone, M. Bernasconi, and T. Friedli, “Investigating The Role Of Digitalization In Operational Excellence Programs – A Case Study From The Pharmaceutical Industry,” in Proceedings of the Conference on Production Systems and Logistics, 2023, pp. 179–188. doi: 10.15488/13437. [Google Scholar]
  8. L. Liu, P. K. C. Lee, A. C. L. Yeung, T. C. E. Cheng, and T. Wang, “An Empirical Study on Digitalization’s Impact on Operational Efficiency and the Moderating Role of Multiple Uncertainties,” IEEE Trans Eng Manag, vol. 71, pp. 11463–11478, 2024, doi: 10.1109/TEM.2024.3414831. [Google Scholar]
  9. K. Sichoongwe, “Adoption Behaviour of Digital Technologies by Firms: Evidence from South Africa’s Manufacturing Sector,” Global Business Review, vol. 25, no. 2_suppl, pp. S244–S264, 2024, doi: 10.1177/09721509231190511. [Google Scholar]
  10. N. Daniels and O. Jokonya, “Factors affecting digital transformation in the retail supply chain,” in International Conference on Multidisciplinary Research, 2020, pp. 117–133. [Google Scholar]
  11. N. Jantaro and Y. F. M. Badir, “The performance impact of digital technology adoption in procurement: A case study of the manufacturing industry in the Eastern Economic Corridor, Thailand,” Uncertain Supply Chain Management, vol. 12, no. 1, pp. 151–158, 2024, doi: 10.5267/j.uscm.2023.10.009. [Google Scholar]
  12. W. M. S. K. Weerabahu, P. Samaranayake, D. Nakandala, and H. Hurriyet, “Digital supply chain research trends: a systematic review and a maturity model for adoption,” Benchmarking, vol. 30, no. 9, pp. 3040–3066, 2023, doi: 10.1108/BIJ-12-2021-0782. [Google Scholar]
  13. Y. Dong, S. F. Ahmad, M. Irshad, M. Al-Razgan, Y. A. Ali, and E. M. Awwad, “The Digitalization Paradigm: Impacts on Agri-Food Supply Chain Profitability and Sustainability,” Sustainability (Switzerland), vol. 15, no. 21, 2023, doi: 10.3390/su152115627. [Google Scholar]
  14. E. K. Avenyo, J. F. Bell, and J. Nyamwena, “Determinants of digital technologies’ adoption in South African manufacturing: Evidence from a firm-level survey,” South African Journal of Economics, vol. 92, no. 2, pp. 235–259, 2024, doi: 10.1111/saje.12378. [Google Scholar]
  15. G. Nicoletti, C. von Rueden, and D. Andrews, “Digital technology diffusion: A matter of capabilities, incentives or both?,” Eur Econ Rev, vol. 128, 2020, doi: 10.1016/j.euroecorev.2020.103513. [Google Scholar]
  16. Y. Feng and L. Qin, “Research on Location Model of FMCG Supply Chain Network under the Mode of Cross-level Service,” in Proceedings of SPIE The International Society for Optical Engineering, 2022. doi: 10.1117/12.2637160. [Google Scholar]
  17. K. R. Suliman, M. D. A. K. Tazilah, L. K. Fai, and D. K. Degeras, “The efficiency and performance evaluation of government-linked companies (GLCs) in Malaysia using data envelopment analysis,” International Journal of Supply Chain Management, vol. 9, no. 1, pp. 392–396, 2020. [Google Scholar]
  18. L. K. Fai, L. W. Siew, and L. W. Hoe, “An empirical evaluation on the efficiency of the companies in Malaysia with data envelopment analysis model,” Adv Sci Lett, vol. 23, no. 9, pp. 8264–8267, 2017, doi: 10.1166/asl.2017.9874. [Google Scholar]
  19. A. Al-Shaiba, S. G. Al-Ghamdi, and M. Koç, “Measuring efficiency levels in Qatari organizations and causes of inefficiencies,” International Journal of Engineering Business Management, vol. 12, 2020, doi: 10.1177/1847979020970820. [Google Scholar]
  20. K. Chakraborty and S. Sarkar, Financial performance of selected FMCG companies in India during post-reform era: A comprehensive analysis. 2015. doi: 10.4018/978-1-4666-7470-7.ch017. [Google Scholar]
  21. S. Mouzas, “Efficiency versus effectiveness in business networks,” J Bus Res, vol. 59, no. 10–11, pp. 1124–1132, 2006, doi: 10.1016/j.jbusres.2006.09.018. [Google Scholar]
  22. J. Liu, “The Researches on Labor Investment Efficiency for Digital Transformation,” in 11th International Symposium on Project Management, ISPM 2023, 2023, pp. 1620–1625. doi: 10.52202/070275-0216. [Google Scholar]
  23. R. Eller, C. Kronenberg, and M. Peters, “Digital transformation in small and medium-sized enterprises: business model innovation and information technology adoption – the case of Austria,” International Journal of Entrepreneurship and Small Business, vol. 48, no. 3, pp. 318–342, 2023, doi: 10.1504/IJESB.2023.129294. [Google Scholar]
  24. I. Oh and J. Kim, “Frontiers and laggards: Which firms benefit from adopting advanced digital technologies?,” Managerial and Decision Economics, vol. 44, no. 2, pp. 753–766, 2023, doi: 10.1002/mde.3710. [Google Scholar]
  25. S. Bogea Gomes, F. M. Santoro, and M. Mira da Silva, An Ontological Analysis of Digital Technology, vol. 13607 LNCS. 2022. doi: 10.1007/978-3-031-17995-2_7. [Google Scholar]
  26. P. A. Houle, Digital technology: Capabilities and limitations. 2010. doi: 10.4018/978-1-61692-877-3.ch001. [Google Scholar]
  27. A. Obukhova, E. Merzlyakova, I. Ershova, and K. Karakulina, “Introduction of digital technologies in the enterprise,” in E3S Web of Conferences, 2020. doi: 10.1051/e3sconf/202015904004. [Google Scholar]
  28. W. Xie, D. Zheng, Z. Li, Y. Wang, and L. Wang, “Digital technology and manufacturing industrial change: Evidence from the Chinese manufacturing industry,” Comput Ind Eng, vol. 187, 2024, doi: 10.1016/j.cie.2023.109825. [Google Scholar]
  29. N. Omrani, N. Rejeb, A. Maalaoui, M. Dabic, and S. Kraus, “Drivers of Digital Transformation in SMEs,” IEEE Trans Eng Manag, vol. 71, pp. 5030–5043, 2024, doi: 10.1109/TEM.2022.3215727. [Google Scholar]
  30. A. Janmethakulwat and B. Thanasopon, “Digital technology adoption and institutionalization in Thai maritime industry: An exploratory study of the Thai shipowners,” Asian Journal of Shipping and Logistics, 2024, doi: 10.1016/j.ajsl.2024.08.001. [Google Scholar]
  31. M. M. H. Shahadat, M. Nekmahmud, P. Ebrahimi, and M. Fekete-Farkas, “Digital Technology Adoption in SMEs: What Technological, Environmental and Organizational Factors Influence SMEs’ ICT Adoption in Emerging Countries?,” Global Business Review, 2023, doi: 10.1177/09721509221137199. [Google Scholar]
  32. A. Distanont and O. Khongmalai, “The Adoption of Digital Technology in SMEs,” in Proceedings of the European Conference on Management, Leadership and Governance, 2022, pp. 141–146. [Google Scholar]
  33. R. A. Wahid and N. A. Zulkifli, “Factors Affecting the Adoption of Digital Transformation among SME’s in Malaysia,” Journal of Information Technology Management, vol. 13, no. 3, pp. 126–140, 2021, doi: 10.22059/JITM.2021.83233. [Google Scholar]
  34. L. Giannella, “The power of online learning,” Biochemist, vol. 39, no. 6, pp. 42–43, 2017, doi: 10.1042/bio03906042. [Google Scholar]
  35. J. Wiklund, “Working in Bed—A Commentary on ‘Automation, Algorithms, and Beyond: Why Work Design Matters More than Ever in a Digital World’ by Parker and Grote,” Applied Psychology, vol. 71, no. 4, pp. 1210–1214, 2022, doi: 10.1111/apps.12261. [Google Scholar]
  36. A. Alothaim, S. Hussain, and S. Al-Hadhrami, “Analysis of Cybersecurities within Industrial Control Systems Using Interval-Valued Complex Spherical Fuzzy Information,” Comput Intell Neurosci, vol. 2022, 2022, doi: 10.1155/2022/3304333. [Google Scholar]
  37. D. V. Antipov, E. Y. Kuznetsova, and A. Aytasova, “Digital Technologies and QMS of Industrial Enterprise: Focus on Efficiency,” in IOP Conference Series: Materials Science and Engineering, 2020. doi: 10.1088/1757-899X/986/1/012024. [Google Scholar]
  38. A.-R. Sadeghi and C. Wachsmann, Trusted computing. 2010. doi: 10.1201/9781420059823. [Google Scholar]
  39. S. Giri, P. Paul, and P. Mitra, “Understanding the performance measurement of Indian steel Industry: A DEA approach,” in Materials Today: Proceedings, 2021, pp. 1517–1522. doi: 10.1016/j.matpr.2021.09.424. [Google Scholar]
  40. L. W. Siew, L. K. Fai, and L. W. Hoe, “An optimal control on the efficiency of technology companies in Malaysia with data envelopment analysis model,” Journal of Telecommunication, Electronic and Computer Engineering, vol. 10, no. 1, pp. 107–111, 2018. [Google Scholar]
  41. C. A. Sims, Efficiency in the Construction Industry. 2017. doi: 10.4324/9780203789711-34. [Google Scholar]
  42. L. C. Frǎţilǎ, A. D. Tanţǎu, and C. Grigore, “Predicting firms’ performance using benchmarking indicators,” Metalurgia International, vol. 15, no. SPEC. ISSU, pp. 185–189, 2010. [Google Scholar]
  43. S.-M. Ju and N. Liu, “Efficiency and its influencing factors in port enterprises: empirical evidence from Chinese port-listed companies,” Maritime Policy and Management, vol. 42, no. 6, pp. 571–590, 2015, doi: 10.1080/03088839.2014.996621. [Google Scholar]
  44. J. Hanousek, E. Kočenda, and A. Shamshur, “Corporate efficiency in Europe,” Journal of Corporate Finance, vol. 32, pp. 24–40, 2015, doi: 10.1016/j.jcorpfin.2015.03.003. [Google Scholar]
  45. S. Handoyo, H. Suharman, E. K. Ghani, and S. Soedarsono, “A business strategy, operational efficiency, ownership structure, and manufacturing performance: The moderating role of market uncertainty and competition intensity and its implication on open innovation,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 9, no. 2, 2023, doi: 10.1016/j.joitmc.2023.100039. [Google Scholar]
  46. P. V. Souza de Souza, C. A. Tibúrcio Silva, and F. G. Lima, “Evidence of the adaptive market hypothesis in shares traded by B3 listed banking companies,” Managerial Finance, vol. 48, no. 1, pp. 113–125, 2022, doi: 10.1108/MF-09-2020-0472. [Google Scholar]
  47. A. Bondar, H. Tolchieva, M. Bilyk, O. Slavkova, and V. Symonov, “THE ROLE OF DIGITIZATION IN MANAGEMENT AND STRATEGIC DECISION-MAKING IN MODERN MANAGEMENT,” Financial and Credit Activity: Problems of Theory and Practice, vol. 2, no. 55, pp. 214–227, 2024, doi: 10.55643/fcaptp.2.55.2024.4349. [Google Scholar]
  48. R. Cheng, C.-Y. Ho, and S. Huang, “Digitalization and firm performance: channels and heterogeneities,” Appl Econ Lett, vol. 30, no. 17, pp. 2401–2406, 2023, doi: 10.1080/13504851.2022.2097178. [Google Scholar]
  49. K. E. Gbegnin and T. Gürbüz, “Comparison of operational competitiveness rating analysis (OCRA) performance evaluation with operating margin,” in Lecture Notes in Engineering and Computer Science, 2014, pp. 981–984. [Google Scholar]

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