Вплив інтернету речей (IoT) на організаційну ефективність МСП у країнах з економікою, що розвивається – систематичний огляд

Автор(и)

  • Gibson Muridzi University of Johannesburg, Південна Африка

DOI:

https://doi.org/10.15587/2706-5448.2023.292183

Ключові слова:

Інтернет речей, ефективність організації, малі та середні підприємства, країни з перехідною економікою

Анотація

Об’єктом цього дослідження є впровадження Інтернету речей (IoT) та його вплив на організаційну ефективність малих та середніх підприємств (МСП) у країнах з перехідною економікою. МСП в країнах з перехідною економікою стикаються з низьким рівнем ефективності через технологічні обмеження, недостатньо кваліфіковані людські ресурси, низький рівень підприємницьких здібностей та систем управління, дефіцит доступної інформації, недостатнє використання інформаційних технологій, низьку якість продукції та відсутність стратегічних довгострокових планів. Для виявлення, оцінки та узагальнення результатів усіх відповідних індивідуальних досліджень на теми четвертої промислової революції (4ПР), Інтернету речей, організаційної ефективності та МСП було використано метод систематичного огляду літератури. Було знайдено 461 статтю, з яких 60 статей були використані в якості вибірки для цього дослідження. Результати цього дослідження показали, що впровадження Інтернету речей позитивно впливає на ефективність роботи МСП у країнах з перехідною економікою. Результати також показують, що фінансові, технологічні та операційні ризики є основними ризиками, з якими стикаються МСП при впровадженні технологій Інтернету речей в країнах з перехідною економікою. Суть результатів полягає в тому, щоб внести свій вклад в існуючі знання, надавши цікаву інформацію у вигляді концепції про те, як технології Інтернету речей можуть бути застосовані для підвищення ефективності роботи МСП в країнах з економікою, що розвивається. Це досягається шляхом ознайомлення МСП з їх потенційними перевагами, наданням певних знань щодо забезпечення фінансових ресурсів та здатності аналізувати зовнішнє середовище, а також пролиттям світла на переваги та можливості, які пропонують ці нові інструменти, і на те, як вони можуть згодом покращити ефективність роботи МСП. Більшість статей, що використовувалися для систематичного огляду літератури, були з розвинених країн, оскільки література, яка б розповідала про ІоТ та ефективність МСП у країнах з перехідною економікою, була обмеженою. Тому дослідження було зосереджене на ІоТ і на тому, як він може покращити організаційну ефективність МСП в країнах з перехідною економікою.

Посилання

  1. Joo, H.-Y., Min, H. (2022). Assessing the impacts of government environmental policies on the small and medium-sized firm’s performances in Korea and China. Benchmarking: An International Journal, 30 (7), 2275–2302. doi: https://doi.org/10.1108/bij-12-2021-0754
  2. Singh, K., Rastogi, S. (2022). Corporate governance and financial performance: evidence from listed SMEs in India. Benchmarking: An International Journal, 30 (4), 1400–1423. doi: https://doi.org/10.1108/bij-09-2021-0570
  3. Al-Awlaqi, M. A., Aamer, A. M. (2022). Individual entrepreneurial factors affecting adoption of circular business models: An empirical study on small businesses in a highly resource-constrained economy. Journal of Cleaner Production, 379, 134736. doi: https://doi.org/10.1016/j.jclepro.2022.134736
  4. Hameed, M. A., Counsell, S., Swift, S. (2012). A conceptual model for the process of IT innovation adoption in organizations. Journal of Engineering and Technology Management, 29 (3), 358–390. doi: https://doi.org/10.1016/j.jengtecman.2012.03.007
  5. Chiun Lo, M., Chai Wang, Y., Justin Wah Constance, R., Ramayah, T. (2016). The critical success factors for organizational performance of SMEs in Malaysia: a partial least squares approach. Review of Business Management, 18 (61), 370–391. doi: https://doi.org/10.7819/rbgn.v18i61.3058
  6. Molla, A., Licker, P. S. (2005). eCommerce adoption in developing countries: a model and instrument. Information & Management, 42 (6), 877–899. doi: https://doi.org/10.1016/j.im.2004.09.002
  7. Tan, J., Tyler, K., Manica, A. (2007). Business-to-business adoption of eCommerce in China. Information & Management, 44 (3), 332–351. doi: https://doi.org/10.1016/j.im.2007.04.001
  8. Herzallah, F., Mukhtar, M. (2015). Organization Information Ecology and E-Commerce Adoption: Effect on Organizational SMEs Performance. Journal of Computer Science, 11 (3), 540–551. doi: https://doi.org/10.3844/jcssp.2015.540.551
  9. Tamvada, J. P., Narula, S., Audretsch, D., Puppala, H., Kumar, A. (2022). Adopting new technology is a distant dream? The risks of implementing Industry 4.0 in emerging economy SMEs. Technological Forecasting and Social Change, 185, 122088. doi: https://doi.org/10.1016/j.techfore.2022.122088
  10. Adamashvili, N., State, R., Tricase, C., Fiore, M. (2021). Blockchain-Based Wine Supply Chain for the Industry Advancement. Sustainability, 13 (23), 13070. doi: https://doi.org/10.3390/su132313070
  11. Ciruela-Lorenzo, A. M., Del-Aguila-Obra, A. R., Padilla-Meléndez, A., Plaza-Angulo, J. J. (2020). Digitalization of Agri-Cooperatives in the Smart Agriculture Context. Proposal of a Digital Diagnosis Tool. Sustainability, 12 (4), 1325. doi: https://doi.org/10.3390/su12041325
  12. Contò, F., Vrontis, D., Fiore, M., Thrassou, A. (2014). Strengthening regional identities and culture through wine industry cross border collaboration. British Food Journal, 116 (11), 1788–1807. doi: https://doi.org/10.1108/bfj-02-2014-0075
  13. Gallo, C., Contò, F., Fiore, M. (2014). A Neural Network Model for Forecasting CO2 Emission. Agris on-line Papers in Economics and Informatics, 6 (2). Available at: https://www.researchgate.net/publication/263238664_A_Neural_Network_Model_for_Forecasting_CO2_Emission
  14. Hoffman, D. L., Novak, T. P. (2017). Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach. Journal of Consumer Research, 44 (6), 1178–1204. doi: https://doi.org/10.1093/jcr/ucx105
  15. Szopik-Depczyńska, K., Cheba, K. (2021). The impact of Internet on marketing activity in R&D departments in Poland. Procedia Computer Science, 192, 5030–5038. doi: https://doi.org/10.1016/j.procs.2021.09.281
  16. Mohamed, E. (2020). The Relation of Artificial Intelligence with Internet of Things: A survey. Journal of Cybersecurity and Information Management, 1 (1), 30–34. doi: https://doi.org/10.5281/zenodo.3686810.
  17. Purwanto, H., Hurriyati, R., Dirgantari, P. D. (2021). The Role of the Internet of Things (IoT) in Business and Marketing Areas: A Systematic Literature Review Using the Bibliometric Analysis Approach. Advances in Economics, Business and Management Research. doi: https://doi.org/10.2991/aebmr.k.210831.066
  18. Abrokwah-Larbi, K., Awuku-Larbi, Y. (2023). The impact of artificial intelligence in marketing on the performance of business organizations: evidence from SMEs in an emerging economy. Journal of Entrepreneurship in Emerging Economies. doi: https://doi.org/10.1108/jeee-07-2022-0207
  19. Lo, M. C., Abang Azlan, M., Ramayah, T., Wang, Y. C. (2015). Examining the Effects of Leadership, Market Orientation and Leader Member Exchange (LMX) on Organisational Performance. Engineering Economics, 26 (4), 409–421. doi: https://doi.org/10.5755/j01.ee.26.4.7656
  20. Griffin, K. (2003). Economic Globalization and Institutions of Global Governance. Development and Change, 34 (5), 789–808. doi: https://doi.org/10.1111/j.1467-7660.2003.00329.x
  21. Kaplan, R. S., Norton, D. P. (2004). 2 Putting the Balanced Scorecard to Work 19 Measuring the Strategic Readiness of Intangible Assets 35 Using the Balanced Scorecard as a Strategic Management System 49 Having Trouble with Your Strategy? Then Map It Focusing Your Organization on Strategy-with the Balanced Scorecard. Available at: https://www.academia.edu/23176584/2_Putting_the_Balanced_Scorecard_to_Work_19_Measuring_the_Strategic_Readiness_of_Intangible_Assets_35_Using_the_Balanced_Scorecard_as_a_Strategic_Management_System_49_Having_Trouble_with_Your_Strategy_Then_Map_It
  22. Simon, A., Bartle, C., Stockport, G., Smith, B., Klobas, J. E., Sohal, A. (2015). Business leaders’ views on the importance of strategic and dynamic capabilities for successful financial and non-financial business performance. International Journal of Productivity and Performance Management, 64 (7), 908–931. doi: https://doi.org/10.1108/ijppm-05-2014-0078
  23. Ho, T. C. F., Ahmad, N. H., Ramayah, T. (2016). Competitive Capabilities and Business Performance among Manufacturing SMEs: Evidence from an Emerging Economy, Malaysia. Journal of Asia-Pacific Business, 17 (1), 37–58. doi: https://doi.org/10.1080/10599231.2016.1129263
  24. Chen, J.-S., Hung Tai Tsou, Huang, A. Y.-H. (2009). Service Delivery Innovation. Journal of Service Research, 12 (1), 36–55. doi: https://doi.org/10.1177/1094670509338619
  25. Prieto, I. M., Revilla, E. (2006). Learning capability and business performance: a non‐financial and financial assessment. The Learning Organization, 13 (2), 166–185. doi: https://doi.org/10.1108/09696470610645494
  26. Manoel, J., da Silva, J. F., da Rocha, A., da Rocha Dib, L. A. (2007). Building a Better Measure of Business Performance. RAC-Eletrônica, 1 (2), 114–135. Available at: https://www.researchgate.net/publication/26503695_Building_a_Better_Measure_of_Business_Performance
  27. Kaplan, A., Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62 (1), 15–25. doi: https://doi.org/10.1016/j.bushor.2018.08.004
  28. Bhatiasevi, V., Naglis, M. (2018). Elucidating the determinants of business intelligence adoption and organizational performance. Information Development, 36 (1), 78–96. doi: https://doi.org/10.1177/0266666918811394
  29. Mehralian, G., Nazari, J. A., Nooriparto, G., Rasekh, H. R. (2017). TQM and organizational performance using the balanced scorecard approach. International Journal of Productivity and Performance Management, 66 (1), 111–125. doi: https://doi.org/10.1108/ijppm-08-2015-0114
  30. Aksoy, H. (2017). How do innovation culture, marketing innovation and product innovation affect the market performance of small and medium-sized enterprises (SMEs)? Technology in Society, 51, 133–141. doi: https://doi.org/10.1016/j.techsoc.2017.08.005
  31. Ch’ng, P.-C., Cheah, J., Amran, A. (2021). Eco-innovation practices and sustainable business performance: The moderating effect of market turbulence in the Malaysian technology industry. Journal of Cleaner Production, 124556. doi: https://doi.org/10.1016/j.jclepro.2020.124556
  32. Sok, P., O’Cass, A., Sok, K. M. (2013). Achieving Superior SME Performance: Overarching Role of Marketing, Innovation, and Learning Capabilities. Australasian Marketing Journal, 21 (3), 161–167. doi: https://doi.org/10.1016/j.ausmj.2013.04.001
  33. Mansour, H., Aminudin, E., Mansour, T., Adiana Binti Abidin, N. I., Lou, E. (2022). Resource-Based View in Construction Project Management Research: A Meta-Analysis. IOP Conference Series: Earth and Environmental Science, 1067 (1), 012057. doi: https://doi.org/10.1088/1755-1315/1067/1/012057
  34. Bhandari, K. R., Ranta, M., Salo, J. (2022). The resource‐based view, stakeholder capitalism, ESG, and sustainable competitive advantage: The firm’s embeddedness into ecology, society, and governance. Business Strategy and the Environment, 31 (4), 1525–1537. doi: https://doi.org/10.1002/bse.2967
  35. Sarath Kumar Boddu, R., Santoki, A. A., Khurana, S., Vitthal Koli, P., Rai, R., Agrawal, A. (2022). An analysis to understand the role of machine learning, robotics and artificial intelligence in digital marketing. Materials Today: Proceedings, 56, 2288–2292. doi: https://doi.org/10.1016/j.matpr.2021.11.637
  36. Barney, J. B., Ketchen, D. J., Wright, M. (2011). The Future of Resource-Based Theory. Journal of Management, 37 (5), 1299–1315. doi: https://doi.org/10.1177/0149206310391805
  37. Lee, Y., Wanta, W., Lee, H. (2015). Resource-Based Public Relations Efforts for University Reputation from an Agenda-Building and Agenda-Setting Perspective. Corporate Reputation Review, 18 (3), 195–209. doi: https://doi.org/10.1057/crr.2015.6
  38. Ofori, D., Appiah-Nimo, C. (2021). Relationship Management, Competitive Advantage and Performance of Hotels: A Resource-Based View. Journal of African Business, 23 (3), 712–730. doi: https://doi.org/10.1080/15228916.2021.1924573
  39. Peteraf, M. A. (1993). The cornerstones of competitive advantage: A resource‐based view. Strategic Management Journal, 14 (3), 179–191. doi: https://doi.org/10.1002/smj.4250140303
  40. Hansson, J., Eriksson, H. (2002). The impact of TQM on financial performance. Measuring Business Excellence, 6 (4), 44–54. doi: https://doi.org/10.1108/13683040210451714
  41. Saraswat, P., Agrawal, R., Meena, M. L. (2021). An Analysis of Critical Success Factors Using Analytical Hierarchy Process for Implementation of Lean with Industry 4.0 in SMEs. Lecture Notes in Mechanical Engineering. Springer Science and Business Media Deutschland GmbH, 255–262. doi: https://doi.org/10.1007/978-981-16-3033-0_24
  42. Khrais, L. T., Alghamdi, A. M. (2022). Factors That Affect Digital Innovation Sustainability among SMEs in the Middle East Region. Sustainability, 14 (14), 8585. doi: https://doi.org/10.3390/su14148585
  43. Gunasekaran, A., Ngai, E. W. T. (2004). Build‐to‐order supply chain management: a literature review and framework for development. Journal of Operations Management, 23 (5), 423–451. doi: https://doi.org/10.1016/j.jom.2004.10.005
  44. Belekoukias, I., Garza-Reyes, J. A., Kumar, V. (2014). The impact of lean methods and tools on the operational performance of manufacturing organisations. International Journal of Production Research, 52 (18), 5346–5366. doi: https://doi.org/10.1080/00207543.2014.903348
  45. Al-Dhaafri, H. S., Al-Swidi, A. K., Yusoff, R. Z. B. (2016). The mediating role of TQM and organizational excellence, and the moderating effect of entrepreneurial organizational culture on the relationship between ERP and organizational performance. The TQM Journal, 28 (6), 991–1011. doi: https://doi.org/10.1108/tqm-04-2014-0040
  46. Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. doi: https://doi.org/10.1016/j.jbusres.2016.08.004
  47. Alshamaila, Y., Papagiannidis, S., Li, F. (2013). Cloud computing adoption by SMEs in the north east of England. Journal of Enterprise Information Management, 26 (3), 250–275. doi: https://doi.org/10.1108/17410391311325225
  48. Wu, C., Monfort, A. (2022). Role of artificial intelligence in marketing strategies and performance. Psychology & Marketing, 40 (3), 484–496. doi: https://doi.org/10.1002/mar.21737
  49. Lin, W.-R., Wang, Y.-H., Hung, Y.-M. (2020). Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach. PLOS ONE, 15 (2), e0227852. doi: https://doi.org/10.1371/journal.pone.0227852
  50. Kolberg, D., Zühlke, D. (2015). Lean Automation enabled by Industry 4.0 Technologies. IFAC-PapersOnLine, 48 (3), 1870–1875. doi: https://doi.org/10.1016/j.ifacol.2015.06.359
  51. Wollschlaeger, M., Sauter, T., Jasperneite, J. (2017). The future of industrial communication: Automation networks in the era of the internet of things and industry 4.0. IEEE Industrial Electronics Magazine, 11 (1), 17–27. doi: https://doi.org/10.1109/mie.2017.2649104
  52. Trainor, K. J., Rapp, A., Beitelspacher, L. S., Schillewaert, N. (2011). Integrating information technology and marketing: An examination of the drivers and outcomes of e-Marketing capability. Industrial Marketing Management, 40 (1), 162–174. doi: https://doi.org/10.1016/j.indmarman.2010.05.001
  53. Zhou, K. Z., Li, C. B. (2010). How strategic orientations influence the building of dynamic capability in emerging economies. Journal of Business Research, 63 (3), 224–231. doi: https://doi.org/10.1016/j.jbusres.2009.03.003
  54. Grinstein, A. (2008). The relationships between market orientation and alternative strategic orientations. European Journal of Marketing, 42 (1/2), 115–134. doi: https://doi.org/10.1108/03090560810840934
  55. Demirbag, M., Tatoglu, E., Tekinkus, M., Zaim, S. (2006). An analysis of the relationship between TQM implementation and organizational performance. Journal of Manufacturing Technology Management, 17 (6), 829–847. doi: https://doi.org/10.1108/17410380610678828
  56. Fotopoulos, C. V., Psomas, E. L. (2010). The structural relationships between TQM factors and organizational performance. The TQM Journal, 22 (5), 539–552. doi: https://doi.org/10.1108/17542731011072874
  57. Sommer, L. (2015). Industrial revolution – industry 4.0: Are German manufacturing SMEs the first victims of this revolution? Journal of Industrial Engineering and Management, 8 (5), 1512–1532. doi: https://doi.org/10.3926/jiem.1470
  58. Ghanbari, A., Laya, A., Alonso-Zarate, J., Markendahl, J. (2017). Business Development in the Internet of Things: A Matter of Vertical Cooperation. IEEE Communications Magazine, 55 (2), 135–141. doi: https://doi.org/10.1109/mcom.2017.1600596cm
  59. Piccarozzi, M., Aquilani, B., Gatti, C. (2018). Industry 4.0 in Management Studies: A Systematic Literature Review. Sustainability, 10 (10), 3821. doi: https://doi.org/10.3390/su10103821
  60. Ben-Daya, M., Hassini, E., Bahroun, Z. (2017). Internet of things and supply chain management: a literature review. International Journal of Production Research, 57 (15-16), 4719–4742. doi: https://doi.org/10.1080/00207543.2017.1402140
  61. Müller, J. M., Voigt, K.-I. (2018). Sustainable Industrial Value Creation in SMEs: A Comparison between Industry 4.0 and Made in China 2025. International Journal of Precision Engineering and Manufacturing-Green Technology, 5 (5), 659–670. doi: https://doi.org/10.1007/s40684-018-0056-z
  62. Stock, T., Obenaus, M., Kunz, S., Kohl, H. (2018). Industry 4.0 as enabler for a sustainable development: A qualitative assessment of its ecological and social potential. Process Safety and Environmental Protection, 118, 254–267. doi: https://doi.org/10.1016/j.psep.2018.06.026
  63. Mittal, S., Khan, M. A., Romero, D., Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194–214. doi: https://doi.org/10.1016/j.jmsy.2018.10.005
  64. Ganzarain, J., Errasti, N. (2016). Three stage maturity model in SME’s toward industry 4.0. Journal of Industrial Engineering and Management, 9 (5), 1119–1128. doi: https://doi.org/10.3926/jiem.2073
  65. Horváth, D., Szabó, R. Zs. (2019). Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities? Technological Forecasting and Social Change, 146, 119–132. doi: https://doi.org/10.1016/j.techfore.2019.05.021
  66. Rawashdeh, A., Rawashdeh, B. S. (2023). The effect cloud accounting adoption on organizational performance in SMEs. International Journal of Data and Network Science, 7 (1), 411–424. doi: https://doi.org/10.5267/j.ijdns.2022.9.005
  67. Chen, Y.-Y. K., Jaw, Y.-L., Wu, B.-L. (2016). Effect of digital transformation on organisational performance of SMEs. Internet Research, 26 (1), 186–212. doi: https://doi.org/10.1108/intr-12-2013-0265
  68. Hinings, B., Gegenhuber, T., Greenwood, R. (2018). Digital innovation and transformation: An institutional perspective. Information and Organization, 28 (1), 52–61. doi: https://doi.org/10.1016/j.infoandorg.2018.02.004
  69. Peter, M. K., Kraft, C., Lindeque, J. (2020). Strategic action fields of digital transformation: An exploration of the strategic action fields of Swiss SMEs and large enterprises. Journal of Strategy and Management, 13 (1), 160–180. doi: https://doi.org/10.1108/jsma-05-2019-0070
  70. Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28 (2), 118–144. doi: https://doi.org/10.1016/j.jsis.2019.01.003
  71. Georgescu, A., Peter, M. K., Avasilcai, S. (2022). A business ecosystem framework for SME development through associative and non-associative business structures in the digital age. Cogent Business & Management, 9 (1). doi: https://doi.org/10.1080/23311975.2022.2143310
  72. Nieto, M. J., Santamara, L. (2010). Technological Collaboration: Bridging the Innovation Gap between Small and Large Firms. Journal of Small Business Management, 48 (1), 44–69. doi: https://doi.org/10.1111/j.1540-627x.2009.00286.x
  73. Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6 (4), 239–242. doi: https://doi.org/10.1007/s12599-014-0334-4
  74. Sanders, A., Elangeswaran, C., Wulfsberg, J. (2016). Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management, 9 (3), 811–833. doi: https://doi.org/10.3926/jiem.1940
  75. Ainin, S., Naqshbandi, M. M., Dezdar, S. (2015). Impact of adoption of Green IT practices on organizational performance. Quality & Quantity, 50 (5), 1929–1948. doi: https://doi.org/10.1007/s11135-015-0244-7
  76. Mukherjee, S., Baral, M. M., Chittipaka, V., Nagariya, R., Patel, B. S. (2023). Achieving organizational performance by integrating industrial Internet of things in the SMEs: a developing country perspective. The TQM Journal. doi: https://doi.org/10.1108/tqm-07-2022-0221
Implication of internet of things (IoT) on organisational performance for SMEs in emerging economies – a systematic review

##submission.downloads##

Опубліковано

2023-12-02

Як цитувати

Muridzi, G. (2023). Вплив інтернету речей (IoT) на організаційну ефективність МСП у країнах з економікою, що розвивається – систематичний огляд. Technology Audit and Production Reserves, 6(4(74), 27–35. https://doi.org/10.15587/2706-5448.2023.292183

Номер

Розділ

Економіка та управління підприємством