Smart Technology Trends, Smart Supply Chain Management Implementation, and Smart Supply Chain Innovation Performance in Developing and Developed Economies
Keywords:
smart supply chain implementation, smart supply chain innovation performance, smart technology trends, Industry 4.0, supply chain management in developed and developing countriesAbstract
Many companies and scholars predict that supply chain configuration will undergo a significant adjustment during this period of change in a digitally driven future. The supply chain and management industry view these risks as including the rising frequency of disruptions to the global trading system caused by both endogenous and exogenous risks, including extreme weather events, pandemics, cybersecurity threats, and financial crises, as well as the widespread use of technology created during the Fourth Industrial Revolution. Businesses that survive the upcoming changes in customer behavior will have invested in digitization and diversity. The researcher determines the association between smart supply chain management implementation and smart supply chain innovation performance, mediated by smart technology trends in developing and developed countries, using a descriptive quantitative approach. Results show that the performance of smart supply chain innovation and smart supply chain management are not correlated. Furthermore, smart supply chain management's ability to mediate smart technological advances is notably lacking. As a result, the researcher produced an implementation strategy to improve the optimization of smart technological trends in the smart supply chain, in both developed and developing nations.
References
004 GMBH, 004 GmbH, 2017. [Online]. Available: https://www.004gmbh.de/warum004-2/
K. Abbas, M. Afaq, T. Ahmed Khan, and W. C. Song, "A blockchain and machine learning-based drug supply chain management and recommendation system for smart pharmaceutical industry," Electronics, vol. 9, no. 5, pp. 852, 2020.
Aegis Logistics, Company - Aegis. Aegis, 2022. [Online]. Available: https://aegisindia.com/company/
M. Akinlolu, T. C. Haupt, D. J. Edwards, and F. Simpeh, "A bibliometric review of the status and emerging research trends in construction safety management technologies," International Journal of Construction Management, vol. 1, pp. 1-13, 2020.
M. Attaran, "Digital technology enablers and their implications for supply chain management," Supply Chain Forum: An International Journal. [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/16258312.2020.1751568
A. V. Barenji, W. M. Wang, Z. Li, and D. A. Guerra-Zubiaga, "Intelligent E-commerce logistics platform using hybrid agent based approach," Transportation Research Part E: Logistics and Transportation Review, vol. 126, pp. 15–31, 2019.
J. Bughin, L. LaBerge, and A. Mellbye, "The case for digital reinvention," McKinsey & Company; McKinsey & Company. [Online]. Available: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-case-for-digital-reinvention
D. Bulman, "China’s Dominance in Global Supply Chains," GMFUS. [Online]. Available: https://www.gmfus.org/news/chinas-dominance-global-supply-chains
Business Wire, Innovative, Eco-Smart Tech Pioneers, myenergi, Select Aegis’ FactoryLogix MES to Meet Rapid, Sustainable Growth Expectations. Businesswire.com, 2022. [Online]. Available: https://www.businesswire.com/news/home/20220510005159/en/Innovative-Eco-Smart-Tech-Pioneers-myenergi-Select-Aegis%E2%80%99-FactoryLogix-MES-to-Meet-Rapid-Sustainable-Growth-Expectations
O. F. Bustinza, M. Opazo-Basaez, and S. Tarba, "Exploring the interplay between Smart Manufacturing and KIBS firms in configuring product-service innovation performance," Technovation, vol. 118, p. 102258, 2022.
R. Cesaretto, A. Buratto, and P. De Giovanni, "Mitigating the feature fatigue effect for smart products through digital servitization," Computers & Industrial Engineering, vol. 156, p. 107218, 2021.
P. Chaopaisarn and M. Woschank, "Requirement analysis for SMART supply chain management for SMEs," in Proceedings of the International Conference on Industrial Engineering and Operations Management Bangkok, Thailand, March 2019, pp.
. Chen, S., Brahma, S., Mackay, J., Cao, C., & Aliakbarian, B, "The role of smart packaging system in food supply chain." Journal of Food Science, 85(3), 517–525, 2020. https://doi.org/10.1111/1750-3841.15046
. Choi, T.-M., Wen, X., Sun, X., & Chung, S.-H, "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era." Transportation Research Part E: Logistics and Transportation Review, 127, 178–19, 2019,. https://doi.org/10.1016/j.tre.2019.05.007
Choudhury, A., Behl, A., Sheorey, P. A., & Pal, A, "Digital supply chain to unlock new agility: a TISM approach." Benchmarking: An International Journal, 2021.
Chottani, A., Hastings, G., Murnane, J., & Neuhaus, F. "Distraction or disruption? Autonomous trucks gain ground in US logistics." McKinsey & Company; McKinsey & Company, 2018, https://www.mckinsey.com/industries/travel-logistics-and-infrastructure/our-insights/distraction-or-disruption-autonomous-trucks-gain-ground-in-us-logistics
Chung, I-Chen, "How will Artificial Intelligence influence Supply Chain Risk Management in Europe by 2035?" Hs-Furtwangen.de, 2022, https://doi.org/https://opus.hs-furtwangen.de/frontdoor/index/index/docId/8963
Chung, S.-H., "Applications of smart technologies in logistics and transport: A review." Transportation Research Part E: Logistics and Transportation Review, 153, 102455, 2021, https://doi.org/10.1016/j.tre.2021.102455
Digiteum, "The Internet of Things (IoT) in Supply Chain [Use Cases & Examples] | Digiteum." Digiteum, 2021, https://www.digiteum.com/iot-supply-chain
DispatchTrack, "6 Logistics Technology Trends to Watch Out for in 2023." Dispatchtrack.com, 2022, https://www.dispatchtrack.com/blog/logistics-technology-trends
Dranka, G. G., & Ferreira, P, "Towards a smart grid power system in Brazil: Challenges and opportunities." Energy Policy, 136, 111033, 2020, https://doi.org/10.1016/j.enpol.2019.111033
Edwards, K, "Logistics in Germany - all you need to know - E-commerce Germany News." E-Commerce Germany News, 2020. https://ecommercegermany.com/blog/logistics-in-germany-all-you-need-to-know
Elmi, L., "Top 5 fastest growing countries." 2020. https://borgenproject.org/top-5-fastest-developing-countries/
Fatorachian, H., & Kazemi, H., "Impact of Industry 4.0 on supply chain performance." Production Planning & Control, 32(1), 63-81, 2021.
Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C., & Uhlmann, I., "Towards Supply Chain Management 4.0". Brazilian Journal of Operations & Production Management, 16(2), 180–191, 2019. https://doi.org/10.14488/bjopm.2019.v16.n2.a2
García, L., Parra, L., Jimenez, J. M., Lloret, J., & Lorenz, P., "IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture". Sensors, 20(4), 1042, 2020. https://doi.org/10.3390/s20041042
Gartner. "Gartner Survey Reveals Digital Twins Are Entering Mainstream Use". Gartner, 2019. https://www.gartner.com/en/newsroom/press-releases/2019-02-20-gartner-survey-reveals-digital-twins-are-entering-mai
Gartner. "How Supply Chain Technology Will Evolve in the Future". Gartner. 2022. https://www.gartner.com/smarterwithgartner/gartner-predicts-the-future-of-supply-chain-technology
Ghadimi, P., Wang, C., Lim, M. K., & Heavey, C. "Intelligent sustainable supplier selection using multi-agent technology: Theory and application for Industry 4.0 supply chains". Computers & Industrial Engineering, 127, 588–600. 2019. https://doi.org/10.1016/j.cie.2018.10.050
R. K. Goel, C. S. Yadav, S. Vishnoi, and R. Rastogi, "Smart agriculture – Urgent need of the day in developing countries," Sustainable Computing: Informatics and Systems, vol. 30, p. 100512, 2021. [Online]. Available: https://doi.org/10.1016/j.suscom.2021.100512
J. Gomez, "Guide to the technologies transforming supply chains - 6 River Systems," 6 River Systems, Feb. 3, 2020. [Online]. Available: https://6river.com/ultimate-guide-to-technologies-that-are-transforming-supply-chains/
E. Hartmann and H. Sebastian, "Internet of Things – the future of managing supply chain risks | Emerald Insight," Supply Chain Management: An International Journal, vol. 25, no. 5, pp. 535–548, Jun. 2020. [Online]. Available: https://doi.org/10.1108/SCM
H. Hasan, E. AlHadhrami, A. AlDhaheri, K. Salah, and R. Jayaraman, "Smart contract-based approach for efficient shipment management," Computers & Industrial Engineering, vol. 136, pp. 149–159, 2019. [Online]. Available: https://doi.org/10.1016/j.cie.2019.07.022
A. K. M. B. Haque, B. Bhushan, and G. Dhiman, "Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends," Expert Systems, vol. 39, no. 5, 2021. [Online]. Available: https://doi.org/10.1111/exsy.12753
D. Ivanov, A. Dolgui, A. Das, and B. Sokolov, "Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility," International Series in Operations Research & Management Science, vol. 309–332, 2019.
F. Jamil, L. Hang, K. Kim, and D. Kim, "A Novel Medical Blockchain Model for Drug Supply Chain Integrity Management in a Smart Hospital," Electronics, vol. 8, no. 5, p. 505, 2019.
Y. Kayikci, N. Subramanian, M. Dora, and M. S. Bhatia, "Food supply chain in the era of Industry 4.0: Blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology," Production Planning & Control, vol. 33, no. 2-3, pp. 301-321, 2022.
S. Kotha and P. M. Swamidass, "Strategy, advanced manufacturing technology and performance: empirical evidence from U.S. manufacturing firms," Journal of Operations Management, vol. 18, no. 3, pp. 257–277, 2000.
M. Kumar, V. M. Shenbagaraman, R. N. Shaw, and A. Ghosh, "Predictive Data Analysis for Energy Management of a Smart Factory Leading to Sustainability," Lecture Notes in Electrical Engineering, vol. 765–773, 2020.
F. Lehmann and C. Cordon, "Business supply chain strategies are evolving, can poor countries benefit?," IMD Business School for Management and Leadership Courses. [Online]. Available: https://www.imd.org/research-knowledge/articles/business-supply-chain-strategies-evolving-can-poor-countries-benefit/.
M. Leonard, "Predictive analytics for operations grows 76% in 2 years," Supply Chain Dive. [Online]. Available: https://www.supplychaindive.com/news/predictive-analytics-operations-growth-MHI/552709/.
L. B. Liboni, L. O. Cezarino, C. J. C. Jabbour, B. G. Oliveira, and N. O. Stefanelli, "Smart industry and the pathways to HRM 4.0: implications for SCM," Supply Chain Management: An International Journal, 2019.
B. Lin, W. Wu, and M. Song, "Industry 4.0: driving factors and impacts on firm’s performance: an empirical study on China’s manufacturing industry," Annals of Operations Research. [Online]. Available: https://doi.org/10.1007/s10479-019-03433-6.
V. S. Litvinenko, "Digital Economy as a Factor in the Technological Development of the Mineral Sector," Natural Resources Research, vol. 29, no. 3, pp. 1521–1541, 2019.
W. Liu, S. Long, and S. Wei, "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, vol. 245, pp. 108394, 2022. [Online]. Available: https://doi.org/10.1016/j.ijpe.2021.108394
W. Liu, Y. Liang, X. Bao, J. Qin, and M. K. Lim, "China's logistics development trends in the post COVID-19 era," International Journal of Logistics Research and Applications, vol. 1, no. 12, pp. 1-12, 2020.
W. Liu, D. Wang, X. Shen, X. Yan, and W. Wei, "The impacts of distributional and peer-induced fairness concerns on the decision-making of order allocation in logistics service supply chain," Transportation Research Part E: Logistics and Transportation Review, vol. 116, pp. 102-122, 2018. [Online]. Available: https://doi.org/10.1016/j.tre.2018.05.006
S. Luthra, A. Kumar, E. K. Zavadskas, S. K. Mangla, and J. A. Garza-Reyes, "Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy," International Journal of Production Research, vol. 58, no. 5, pp. 1505-1521, 2020.
D. Makris et al., "Adapting to supply chain 4.0: an explorative study of multinational companies," Supply Chain Forum: An International Journal, vol. 20, no. 2, pp. 144–154, 2019. [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/16258312.2019.1577114
E. Manavalan and K. Jayakrishna, "A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements," Computers & Industrial Engineering, vol. 127, pp. 925–953, 2019. [Online]. Available: https://doi.org/10.1016/j.cie.2018.11.030
A. Martín-Gómez, F. Aguayo-González, and A. Luque, "A holonic framework for managing the sustainable supply chain in emerging economies with smart connected metabolism," Resources, Conservation and Recycling, vol. 141, pp. 219–232, 2019. [Online]. Available: https://doi.org/10.1016/j.resconrec.2018.10.035
S. McCombes, "Sampling Methods | Types, Techniques & Examples," Scribbr, 2019, September 19. [Online]. Available: https://www.scribbr.com/methodology/sampling-methods/
J. McKendrick, "Artificial Intelligence: Not A Panacea For Supply Chain Issues, But Extremely Helpful," Forbes, 2022, July 15. [Online]. Available: https://www.forbes.com/sites/joemckendrick/2022/07/14/artificial-intelligence-not-a-panacea-for-supply-chain-issues-but-extremely-helpful/?sh=1402d7ce5821
McKinsey & Company, "Succeeding in the AI supply-chain revolution," McKinsey & Company, 2021. [Online]. Available: https://www.mckinsey.com/industries/metals-and-mining/our-insights/succeeding-in-the-ai-supply-chain-revolution
J. Miranda, P. Ponce, A. Molina, and P. Wright, "Sensing, smart and sustainable technologies for Agri-Food 4.0," Computers in Industry, vol. 108, pp. 21–36, 2019. [Online]. Available: https://doi.org/10.1016/j.compind.2019.02.002
T. M. Mohamed, A. Alharbi, I. Alhassan, and S. Kholeif, "Applications of Industry 4.0 on Saudi Supply Chain Management: Technologies, Opportunities, and Challenges," in Machine Learning and Data Analytics for Solving Business Problems, 2022, pp. 189–204. [Online]. Available: https://doi.org/10.1007/978-3-031-18483-3_10
N. Mostafa, W. Hamdy, and H. Alawady, "Impacts of Internet of Things on Supply Chains: A Framework for Warehousing," Social Sciences, vol. 8, no. 3, p. 84, 2019. [Online]. Available: https://doi.org/10.3390/socsci8030084
M. Nasiri, J. Ukko, M. Saunila, and T. Rantala, "Managing the digital supply chain: The role of smart technologies," Technovation, vol. 96-97, p. 102121, 2020. [Online]. Available: https://doi.org/10.1016/j.technovation.2020.102121
A. Nazir, A. Azhar, U. Nazir, Y.-F. Liu, W. S. Qureshi, J.-E. Chen, and E. Alanazi, "The rise of 3D Printing entangled with smart computer aided design during COVID-19 era," Journal of Manufacturing Systems, vol. 60, pp. 774–786, 2021. [Online]. Available: https://doi.org/10.1016/j.jmsy.2020.10.009
D. Ni, Z. Xiao, and M. K. Lim, "A systematic review of the research trends of machine learning in supply chain management," International Journal of Machine Learning and Cybernetics, vol. 11, no. 7, pp. 1463–1482, 2019. [Online]. Available: https://doi.org/10.1007/s13042-019-01050-0
PricewaterhouseCoopers, "PwC’s Global Artificial Intelligence Study: Sizing the prize," PwC, 2017. [Online]. Available: https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html
S. Paiva, M. Ahad, G. Tripathi, N. Feroz, and G. Casalino, "Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges," Sensors, vol. 21, no. 6, p. 2143, 2021. [Online]. Available: https://doi.org/10.3390/s21062143
K. Pal and A.-U.-H. Yasar, "Internet of Things and Blockchain Technology in Apparel Manufacturing Supply Chain Data Management," Procedia Computer Science, vol. 170, pp. 450–457, 2020. [Online]. Available: https://doi.org/10.1016/j.procs.2020.03.088
A. Rejeb, S. Simske, K. Rejeb, H. Treiblmaier, and S. Zailani, "Internet of Things research in supply chain management and logistics: A bibliometric analysis," Internet of Things, vol. 12, p. 100318, 2020. [Online]. Available: https://doi.org/10.1016/j.iot.2020.100318
O. Rodriguez-Espindola et al., "The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing," International Journal of Production Research, 2020. [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/00207543.2020.1761565
N. Salim, M. N. Ab Rahman, and D. Abd Wahab, "A systematic literature review of internal capabilities for enhancing eco-innovation performance of manufacturing firms," Journal of Cleaner Production, vol. 209, pp. 1445–1460, 2019. [Online]. Available: https://doi.org/10.1016/j.jclepro.2018.11.105
P. Santander, F. A. Cruz Sanchez, H. Boudaoud, and M. Camargo, "Closed loop supply chain network for local and distributed plastic recycling for 3D printing: a MILP-based optimization approach," Resources, Conservation and Recycling, vol. 154, p. 104531, 2020. [Online]. Available: https://doi.org/10.1016/j.resconrec.2019.104531
S. M. E. Sepasgozar, S. Hawken, S. Sargolzaei, and M. Foroozanfa, "Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies," Technological Forecasting and Social Change, vol. 142, pp. 105–116, 2019. [Online]. Available: https://doi.org/10.1016/j.techfore.2018.09.012
R. Sharma, S. S. Kamble, A. Gunasekaran, V. Kumar, and A. Kumar, "A systematic literature review on machine learning applications for sustainable agriculture supply chain performance," Computers & Operations Research, vol. 119, p. 104926, 2020. [Online]. Available: https://doi.org/10.1016/j.cor.2020.104926
M. Sharma, S. Joshi, D. Kannan, K. Govindan, R. Singh, and H. C. Purohit, "Internet of Things (IoT) adoption barriers of smart cities’ waste management: An Indian context," Journal of Cleaner Production, vol. 270, p. 122047, 2020. [Online]. Available: https://doi.org/10.1016/j.jclepro.2020.122047
X.-F. Shao, W. Liu, Y. Li, H. R. Chaudhry, and X.-G. Yue, "Multistage implementation framework for smart supply chain management under industry 4.0," Technological Forecasting and Social Change, vol. 162, p. 120354, 2021. [Online]. Available: https://doi.org/10.1016/j.techfore.2020.120354
Shenzhen SMART Supply Chain Ltd., "Shenzhen SMART Supply Chain Ltd.," 56smart.cn. [Online]. Available: http://www.56smart.cn/en/about.html
P. C. Shete, Z. N. Ansari, and R. Kant, "A Pythagorean fuzzy AHP approach and its application to evaluate the enablers of sustainable supply chain innovation," Sustainable Production and Consumption, vol. 23, pp. 77–93, 2020. [Online]. Available: https://doi.org/10.1016/j.spc.2020.05.001
B. Sundarakani, A. Ajaykumar, and A. Gunasekaran, "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, vol. 102, p. 102452, 2021. [Online]. Available: https://doi.org/10.1016/j.omega.2021.102452
M. H. Small and M. M. Yasin, "Advanced manufacturing technology: Implementation policy and performance," Journal of Operations Management, vol. 15, no. 4, pp. 349–370, 1997. [Online]. Available: https://doi.org/10.1016/s0272-6963(97)00013-2
R. Toorajipour, V. Sohrabpour, A. Nazarpour, P. Oghazi, and M. Fischl, "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, vol. 122, pp. 502–517, 2021. [Online]. Available: https://doi.org/10.1016/j.jbusres.2020.09.009
S. J. Trenfield, H. X. Tan, A. Awad, A. Buanz, S. Gaisford, A. W. Basit, and A. Goyanes, "Track-and-trace: Novel anti-counterfeit measures for 3D printed personalized drug products using smart material inks," International Journal of Pharmaceutics, vol. 567, p. 118443, 2019. [Online]. Available: https://doi.org/10.1016/j.ijpharm.2019.06.034
U.S. News & World Report L.P., "These Countries Have the Most Well-Developed Infrastructure," 2022. [Online]. Available: https://www.usnews.com/news/best-countries/rankings/well-developed-infrastructure
K. Valášková and P. Svabova, "Deep Learning-assisted Smart Process Planning, Cognitive Automation, and Industrial Big Data Analytics in Sustainable Cyber-Physical Production Systems," Journal of Self-Governance and Management Economics, vol. 9, no. 2, pp. 9–20, 2021. [Online]. Available: https://www.ceeol.com/search/article-detail?id=965036
B. Wang, F. Tao, X. Fang, C. Liu, Y. Liu, and T. Freiheit, "Smart Manufacturing and Intelligent Manufacturing: A Comparative Review," Engineering, vol. 7, no. 6, pp. 738–757, 2021. [Online]. Available: https://doi.org/10.1016/j.eng.2020.07.017
D. T. W. Wong and E. W. T. Ngai, "Critical review of supply chain innovation research (1999–2016)," Industrial Marketing Management, vol. 82, pp. 158–187, 2019. [Online]. Available: https://doi.org/10.1016/j.indmarman.2019.01.017
World Bank Group, "Trade Logistics Gap Persists Between Developed and Developing Countries." [Online]. Available:https://www.worldbank.org/en/news/press-release/2018/07/24/trade-logistics-gap-persists-between-developed-and-developing-countries
G. Yadav, S. K. Mangla, S. Luthra, and D. P. Rai, "Developing a sustainable smart city framework for developing economies: An Indian context," Sustainable Cities and Society, vol. 47, p. 101462, 2019. [Online]. Available: https://doi.org/10.1016/j.scs.2019.101462
Yusen Logistics, "Yusen Logistics | Our Vision, Mission & Values," Yusen Logistics, 2022. [Online]. Available: https://www.yusen-logistics.com/jp_en/about-us/our-vision-mission-values
K. Zekhnini, A. Cherrafi, I. Bouhaddou, Y. Benghabrit, and J. A. Garza-Reyes, "Supply chain management 4.0: a literature review and research framework," Benchmarking: An International Journal.
N. ZOUGAGH, A. CHARKAOUI, Y. ZOUITA, I. ALTAWAIHA, A. RODZIAH, B. Y. RAZALI, et al., "Applications of artificial intelligence methods for enhancing information sharing in supply chains: systematic review," Journal of Theoretical and Applied Information Technology, vol. 100, no. 23.
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