سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات163
تعداد شماره‌ها6,762
تعداد مقالات72,830
تعداد مشاهده مقاله131,674,524
تعداد دریافت فایل اصل مقاله103,440,492
Valipour Parkouhi, Sahar, Safaei Ghadikolaei, Abdolhamid, Fallah Lajimi, Hamidreza. (1402). Classification of Critical Success Factors in Smart Manufacturing Implementation from the Perspective of Stakeholders and Components of Technology: A Systematic Literature Review. , 15(2), 180-222. doi: 10.22059/imj.2023.338189.1007917
Sahar Valipour Parkouhi; Abdolhamid Safaei Ghadikolaei; Hamidreza Fallah Lajimi. "Classification of Critical Success Factors in Smart Manufacturing Implementation from the Perspective of Stakeholders and Components of Technology: A Systematic Literature Review". , 15, 2, 1402, 180-222. doi: 10.22059/imj.2023.338189.1007917
Valipour Parkouhi, Sahar, Safaei Ghadikolaei, Abdolhamid, Fallah Lajimi, Hamidreza. (1402). 'Classification of Critical Success Factors in Smart Manufacturing Implementation from the Perspective of Stakeholders and Components of Technology: A Systematic Literature Review', , 15(2), pp. 180-222. doi: 10.22059/imj.2023.338189.1007917
Valipour Parkouhi, Sahar, Safaei Ghadikolaei, Abdolhamid, Fallah Lajimi, Hamidreza. Classification of Critical Success Factors in Smart Manufacturing Implementation from the Perspective of Stakeholders and Components of Technology: A Systematic Literature Review. , 1402; 15(2): 180-222. doi: 10.22059/imj.2023.338189.1007917

Classification of Critical Success Factors in Smart Manufacturing Implementation from the Perspective of Stakeholders and Components of Technology: A Systematic Literature Review

Industrial Management Journal
دوره 15، شماره 2، 2023، صفحه 180-222    اصل مقاله (874.45 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/imj.2023.338189.1007917
نویسندگان
Sahar Valipour Parkouhi1؛ Abdolhamid Safaei Ghadikolaei* 2؛ Hamidreza Fallah Lajimi3
1Ph.D. Candidate, Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran.
2Prof., Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran.
3Assistant Prof., Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran.
چکیده
Objective: In recent years, industries worldwide have been striving to adopt a groundbreaking accomplishment of the fourth industrial revolution known as smart manufacturing. This advanced manufacturing system is based on Industry 4.0 technologies to improve systems' reliability, efficiency, and productivity. To have the highest level of performance and success, organizations need to pay constant attention to some variables and conditions, which are called Critical Success Factors (CSFs). Critical Success Factors play a significant role in all projects. Implementing smart manufacturing requires the identification of Critical Success Factors to be implemented effectively. Managers need to know the relationship between components of technology and the critical success factors, as well as the stakeholders who are involved or exert influence over these components. Therefore, the purpose of this study is to collect the Critical Success Factors of smart manufacturing implementation and also to determine the Critical Success Factors' relationship with components of technology and stakeholders of organizations, based on the extant research.
Methods: Collecting all the Critical Success Factors will be possible through a comprehensive and systematic literature review. In a systematic literature review, in addition to answering research questions, gaps in a field can be identified and introduced to researchers. To conduct a systematic literature review in this study, keywords were first selected based on the research objectives and questions. Then, articles were collected by searching selected databases. After collecting the articles, relevant articles were identified according to the selected criteria. Finally, the research questions were answered by using the selected related articles. In addition to answering the research questions, the citation analysis of the selected articles was also done.
Results: In this study, 62 relevant research studies were identified. Through the examination of the selected research, 22 critical success factors were recognized. These factors were further classified into the domains of Technology- Organization Environment (TOE Model). By conducting a thorough analysis of the content in the selected studies, the interconnections between the critical success factors, stakeholders, and components of technology were thoroughly investigated.
Conclusion: The findings of this study can provide valuable assistance to researchers in gaining insights into existing gaps and addressing them appropriately. Moreover, the research outcomes can prove beneficial to managers as they endeavor to implement intelligent production methods. By effectively harnessing the identified critical success factors, managers can ensure that their endeavors are impactful and successful. This study offers a comprehensive understanding of the crucial factors that contribute to success in the chosen domain. It serves as a guide for future research endeavors and provides actionable insights for practitioners aiming to optimize their strategies. The study underscores the importance of considering stakeholder engagement and technological aspects in conjunction with organizational structures
کلیدواژه‌ها
Components of technology؛ Critical success factors؛ Technology- organization- environment Framework؛ Stakeholders
مراجع
کریمی، تورج؛ آذر، عادل؛ محبان، بهاره و قاسمی، روح‌اله (1401). تدوین نقشه راه فناوری حمل‌ونقل هوشمند مبتنی بر اینترنت اشیا در صنایع غذایی دارای زنجیره تأمین سرد. مدیریت صنعتی، 14(2)، 195- 219.

محمدی، طاهره؛ سجادی، سیدمجتبی، نجفی، سیداسماعیل و تقی‌زاده یزدی، محمدرضا (1401). بهینه‌سازی زنجیره تأمین هوشمند تحت سیاست‌ ‌مدیریت موجودی توسط فروشنده با رویکرد انتخاب فناوری مرتبط با اینترنت اشیا. مدیریت صنعتی، 14(3)، 458- 483.

 

References

Adebanjo, D., Laosirihongthong, T., Samaranayake, P. & Teh, P.L. (2023). Key Enablers of Industry 4.0 Development at Firm Level: Findings from an Emerging Economy. In IEEE Transactions on Engineering Management, 70(2), 400-416. doi: 10.1109/TEM.2020.3046764.

Ibrahim Abdalla Ahmed, Gani, A., Ab Hamid, S.H. & Abdelmaboud, A. (2019). Service Management for Iot: Requirements, Taxonomy, Recent Advances and Open Research Challenges.” IEEE Access 7: 155472–88. DOI:10.1109/ACCESS.2019.2948027

Al-Gumaei, Kh., Schuba, K., Friesen, F., Heymann, S., Pieper, C., Pethigk, F. & Schriegel, S. (2018, September). A survey of internet of things and big data integrated solutions for industrie 4.0. In 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) (Vol. 1, pp. 1417-1424). IEEE.

Al Hadwer, A., Tavana, M., Gillis, D. & Rezania, D. (2021). A systematic review of organizational factors impacting cloud-based technology adoption using Technology-organization-environment framework. Internet of Things, 15, 100407.

Alkan, N. & Kahraman, C. (2022). Prioritization of factors affecting the digitalization of quality management using interval-valued intuitionistic fuzzy Best-Worst method. In Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 2 (pp. 28-39). Springer International Publishing.

Asdecker, B. & Felch, V. (2018). Development of an Industry 4.0 maturity model for the delivery process in supply chains. Journal of Modelling in Management, 13(4), 840-883.

Balouei Jamkhaneh, H., Shahin, A., Parkouhi, S. V. & Shahin, R. (2022). The new concept of quality in the digital era: a human resource empowerment perspective. The TQM Journal, 34(1), 125-144.

Bandara, O., Vidanagamachchi, K. & Wickramarachchi, R. (2019, March). A model for assessing maturity of industry 4.0 in the banking sector. In Proceedings of the international conference on industrial engineering and operations management (Vol. 2019).

Banik, A., Taqi, H. M. M., Ali, S. M., Ahmed, S., Garshasbi, M. & Kabir, G. (2022). Critical success factors for implementing green supply chain management in the electronics industry: an emerging economy case. International Journal of Logistics Research and Applications, 25(4-5), 493-520.

Benotsmane, R., Kovács, G. & Dudás, L. (2019). Economic, social impacts and operation of smart factories in Industry 4.0 focusing on simulation and artificial intelligence of collaborating robots. Social Sciences, 8(5), 143.

Bhagwan, N. & Evans, M. (2023). A review of industry 4.0 technologies used in the production of energy in China, Germany, and South Africa. Renewable and Sustainable Energy Reviews, 173, 113075.

Bhatia, M. S. & Kumar, S. (2020). Critical success factors of industry 4.0 in automotive manufacturing industry. IEEE Transactions on Engineering Management, 69(5), 2439-2453.

Biegler, C., Steinwender, A., Sala, A., Sihn, W. & Rocchi, V. (2018, June). Adoption of factory of the future technologies. In 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1-8). IEEE.

Bongo, M., Abellana, D. P., Caballes, S. A., Jr, R. A., Himang, C., Obiso, J. J., ... & Deocaris, C. (2020). Critical success factors in implementing Industry 4.0 from an organisational point of view: a literature analysis. International Journal of Advanced Operations Management, 12(3), 273-301.

Boynton, A. C. & Zmud, R. W. (1984). An assessment of critical success factors. Sloan management review, 25(4), 17-27.

Calabrese, A., Levialdi Ghiron, N. & Tiburzi, L. (2021). ‘Evolutions’ and ‘revolutions’ in manufacturers’ implementation of industry 4.0: a literature review, a multiple case study, and a conceptual framework. Production Planning & Control, 32(3), 213-227.

Carlucci, D., Ferreira, F. A., Schiuma, G., Jalali, M. S. & António, N. J. (2018). A holistic conception of sustainable banking: Adding value with fuzzy cognitive mapping. Technological and Economic Development of Economy, 24(4), 1303-1322.

Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A. & Parmentola, A. (2020). Smart manufacturing systems and applied industrial technologies for a sustainable industry: A systematic literature review. Applied Sciences, 10(8), 2897.

Dalenogare, L. S., Benitez, G. B., Ayala, N. F. & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of production economics, 204, 383-394.

De Carolis, A., Macchi, M., Negri, E. & Terzi, S. (2017). A maturity model for assessing the digital readiness of manufacturing companies. In Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing: IFIP WG 5.7 International Conference, APMS 2017, Hamburg, Germany, September 3-7, 2017, Proceedings, Part I (pp. 13-20). Springer International Publishing.

Devi K, S., Paranitharan, K. P. & Agniveesh A, I. (2021). Interpretive framework by analysing the enablers for implementation of Industry 4.0: an ISM approach. Total Quality Management & Business Excellence, 32(13-14), 1494-1514.

 

Elibal, K. & Özceylan, E. (2021). A systematic literature review for industry 4.0 maturity modeling: state-of-the-art and future challenges. Kybernetes, 50(11), 2957-2994.

Falagas, M. E., Pitsouni, E. I., Malietzis, G. A. & Pappas, G. (2008). Comparison of PubMed, Scopus, web of science, and Google scholar: strengths and weaknesses. The FASEB journal, 22(2), 338-342

Flores, M., Maklin, D., Golob, M., Al-Ashaab, A. & Tucci, C. (2018). Awareness towards industry 4.0: key enablers and applications for internet of things and big data. In Collaborative Networks of Cognitive Systems: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings 19 (pp. 377-386). Springer International Publishing.

Frank, A. G., Dalenogare, L. S. & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International journal of production economics, 210, 15-26.

Frederico, G. F., Garza-Reyes, J. A., Anosike, A. & Kumar, V. (2020). Supply Chain 4.0: concepts, maturity and research agenda. Supply Chain Management: An International Journal, 25(2), 262-282.

Freeman, R.E. & McVea, J. (2001). A Stakeholder Approach to Strategic Management. Available at SSRN 263511.

Gamble, J. R., Clinton, E. & Díaz-Moriana, V. (2021). Broadening the business model construct: Exploring how family-owned SMEs co-create value with external stakeholders. Journal of Business Research, 130, 646-657.

Gebhardt, M., Kopyto, M., Birkel, H. & Hartmann, E. (2022). Industry 4.0 technologies as enablers of collaboration in circular supply chains: a systematic literature review. International Journal of Production Research, 60(23), 6967-6995.

Ghadge, A., Er Kara, M., Moradlou, H. & Goswami, M. (2020). The impact of Industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), 669-686.

Gökalp, E., Gökalp, M. O. & Çoban, S. (2022). Blockchain-based supply chain management: understanding the determinants of adoption in the context of organizations. Information systems management, 39(2), 100-121.

Guz, A. N. & Rushchitsky, J. J. (2009). Scopus: A system for the evaluation of scientific journals. International Applied Mechanics, 45, 351-362

Haines, J. D. & Sharif, N. M. (2006). A framework for managing the sophistication of the components of technology for global competition. Competitiveness Review: An International Business Journal, 16(2), 106-121.

Hermann, M., Pentek, T. & Otto, B. (2016). Design principles for industrie 4.0 scenarios. In Proceedings of the Annual Hawaii International Conference on System Sciences.

Hizam-Hanafiah, M., Soomro, M. A. & Abdullah, N. L. (2020). Industry 4.0 readiness models: a systematic literature review of model dimensions. Information, 11(7), 364.

Horváth, D. & Szabó, R. Z. (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.

Hoyer, C., Gunawan, I. & Reaiche, C. H. (2020). The implementation of industry 4.0–a systematic literature review of the key factors. Systems Research and Behavioral Science, 37(4), 557-578.

Jamwal, A., Agrawal, R., Sharma, M. & Giallanza, A. (2021). Industry 4.0 technologies for manufacturing sustainability: a systematic review and future research directions. Applied Sciences, 11(12), 5725.

Kamble, S. S., Gunasekaran, A. & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process safety and environmental protection, 117, 408-425.

Kamble, S. S., Gunasekaran, A., Ghadge, A. & Raut, R. (2020). A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation. International journal of production economics, 229, 107853.

Karabegović, I., Karabegović, E., Mahmić, M. & Husak, E. (2020). Implementation of industry 4.0 and industrial robots in the manufacturing processes. In New Technologies, Development and Application II 5 (pp. 3-14). Springer International Publishing.

Karadayi-Usta, S. (2019). An interpretive structural analysis for industry 4.0 adoption challenges. IEEE Transactions on Engineering Management, 67(3), 973-978.

Karimi, T., Azar, A., Mohebban, B. & Ghasemi, R. (2022). Developing an Internet of Things-based Intelligent Transportation Technology Roadmap in the Food Cold Supply Chain. Industrial Management Journal, 14(2), 195-219.

Kasilingam, S., Keepers, M. & Wuest, T. (2021). A Bibliometric Analysis of Physics-Based and Data-Driven Hybrid Modeling. Procedia CIRP, 103, 49-54.

Khan, W. Z., Rehman, M. H., Zangoti, H. M., Afzal, M. K., Armi, N. & Salah, K. (2020). Industrial internet of things: Recent advances, enabling technologies and open challenges. Computers & electrical engineering, 81, 106522.

Khan, W. A., Wisniewski, L., Lang, D. & Jasperneite, J. (2017, June). Analysis of the requirements for offering industrie 4.0 applications as a cloud service. In 2017 IEEE 26th international symposium on industrial electronics (ISIE) (pp. 1181-1188). IEEE.

Kouicem, D. E., Bouabdallah, A. & Lakhlef, H. (2018). Internet of things security: A top-down survey. Computer Networks, 141, 199-221.

Krishnan, S., Gupta, S., Kaliyan, M., Kumar, V. & Garza-Reyes, J. A. (2021). Assessing the key enablers for Industry 4.0 adoption using MICMAC analysis: a case study. International Journal of Productivity and Performance Management, 70(5), 1049-1071.

Kumar, A., Choudhary, S., Garza-Reyes, J. A., Kumar, V., Rehman Khan, S. A. & Mishra, N. (2023). Analysis of critical success factors for implementing industry 4.0 integrated circular supply chain–Moving towards sustainable operations. Production planning & control, 34(10), 984-998.

 

Kumar, R. & Singh, H. (2018). Exploring the success factors for examining the potential of manufacturing system output. Benchmarking: An International Journal, 25(4), 1171-1193.

Leyh, C., Schäffer, T., Bley, K. & Forstenhäusler, S. (2017). Assessing the IT and software landscapes of Industry 4.0-Enterprises: the maturity model SIMMI 4.0. In Information Technology for Management: New Ideas and Real Solutions: 14th Conference, AITM 2016, and 11th Conference, ISM 2016, held as Part of FedCSIS, Gdansk, Poland, September 11-14, 2016, Revised Selected Papers 14 (pp. 103-119). Springer International Publishing.

Li, C., Zheng, P., Yin, Y., Wang, B. & Wang, L. (2023). Deep reinforcement learning in smart manufacturing: A review and prospects. CIRP Journal of Manufacturing Science and Technology, 40, 75-101.

Li, D., Fast-Berglund, Å. & Paulin, D. (2019). Current and future Industry 4.0 capabilities for information and knowledge sharing: Case of two Swedish SMEs. The International Journal of Advanced Manufacturing Technology, 105, 3951-3963.

Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of industrial information integration, 6, 1-10.

Lukman, H. (2020, December). Conceptual framework of cloud computing implementation on start-up companies with approach. In IOP Conference Series: Materials Science and Engineering (Vol. 1007, No. 1, p. 012176). IOP Publishing.

Luthra, S., Yadav, G., Kumar, A., Anosike, T., Mangla, S. & Garg, D. (2020, March). Study of key enablers of industry 4.0 practices implementation using ISM-fuzzy MICMAC approach. In Conference: 10th International Conference on Industrial Engineering and Operations Management (pp. 10-12).

Maisiri, W. & Van Dyk, L. (2019). Industry 4.0 readiness assessment for South African industries. South African Journal of Industrial Engineering, 30(3), 134-148.

Malik, S., Chadhar, M., Vatanasakdakul, S. & Chetty, M. (2021). Factors affecting the organizational adoption of blockchain technology: Extending the technology–organization–environment (TOE) framework in the Australian context. Sustainability, 13(16), 9404.

Mannhardt, F., Petersen, S. A. & Oliveira, M. F. (2019). A trust and privacy framework for smart manufacturing environments. Journal of Ambient Intelligence and Smart Environments, 11(3), 201-219.

Marlyana, N., Tontowi, A. E. & Yuniarto, H. A. (2018, March). From THIO to THIOCMP: The development of technology assessment concept using technometrics. In 2018 12th South East Asian Technical University Consortium (SEATUC) (Vol. 1, pp. 1-5). IEEE.

Masood, T. & Egger, J. (2019). Augmented reality in support of Industry 4.0—Implementation challenges and success factors. Robotics and Computer-Integrated Manufacturing, 58, 181-195.

Matias, J. B. & Hernandez, A. A. (2021). Cloud computing adoption intention by MSMEs in the Philippines. Global Business Review, 22(3), 612-633.

Matt, D. T., Modrák, V. & Zsifkovits, H. (2020). Industry 4.0 for SMEs: Challenges, opportunities and requirements.

Mian, S. H., Salah, B., Ameen, W., Moiduddin, K. & Alkhalefah, H. (2020). Adapting universities for sustainability education in industry 4.0: Channel of challenges and opportunities. Sustainability, 12(15), 6100.

Mittal, S., Khan, M. A., Romero, D. & Wuest, T. (2019). Smart manufacturing: Characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(5), 1342-1361.

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.

Moed, H. F., Aisati, M. H. & Plume, A. (2013). Studying scientific migration in Scopus. Scientometrics, 94, 929-942

Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E. & Eburdy, R. (2020). Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs. International Journal of Production Research, 58(5), 1384-1400

Mohammadi, T., Sajadi, S. M., Najafi, S. E. & Taghizadeh Yazdi, M. (2022). Optimizing Smart Supply Chain with Vendor Managed Inventory through the Internet of Things. Industrial Management Journal, 14(3), 458-483. doi: 10.22059/imj.2022.343552.1007948
(in Persian)

Mongeon, P. & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106, 213-228.

Morisse, M. & Prigge, C. (2017). Design of a business resilience model for Industry 4.0 manufacturers.

Najafabadi, M. K. & Mahrin, M. N. R. (2016). A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback. Artificial intelligence review, 45(2), 167-201.

Nasrollahi, M. & Ramezani, J. (2020). A model to evaluate the organizational readiness for big data adoption. International Journal of Computers, Communications and Control, 15(3).

Ngah, A. H., & Thurasamy, R. (2015). Barriers and enablers in adopting of Halal warehousing Zainuddin. Journal of Islamic Marketing, 6(3), 354-376.

Osterrieder, P., Budde, L. & Friedli, T. (2020). The smart factory as a key construct of industry 4.0: A systematic literature review. International Journal of Production Economics, 221, 107476.

Pagliosa, M., Tortorella, G. & Ferreira, J. C. E. (2021). Industry 4.0 and Lean Manufacturing: A systematic literature review and future research directions. Journal of Manufacturing Technology Management, 32(3), 543-569.

Pimsakul, S., Samaranayake, P. & Laosirihongthong, T. (2021). Prioritizing enabling factors of IoT adoption for sustainability in supply chain management. Sustainability, 13(22), 12890.

Qarabsh, N. A., Sabry, S. S. & Qarabash, H. A. (2020). Smart grid in the context of industry 4.0: an overview of communications technologies and challenges. Indonesian Journal of Electrical Engineering and Computer Science, 18(2), 656-665.

Rafael, L. D., Jaione, G. E., Cristina, L. & Ibon, S. L. (2020). An Industry 4.0 maturity model for machine tool companies. Technological forecasting and social change, 159, 120203.

Rajnai, Z. & Kocsis, I. (2018, February). Assessing the Industry 4.0 Readiness of A Certain Industry. In Proceedings of the 2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics, Košice, Slovakia (pp. 7-10).

Rajput, S. & Singh, S. P. (2018). Identifying Industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approach. Management Decision, 57(8), 1784-1817.

Ramanathan, K. (1994). The polytrophic components of manufacturing technology. Technological forecasting and social change, 46(3), 221-258.

Rauch, E., Unterhofer, M., Rojas, R. A., Gualtieri, L., Woschank, M. & Matt, D. T. (2020). A maturity level-based assessment tool to enhance the implementation of industry 4.0 in small and medium-sized enterprises. Sustainability, 12(9), 3559.

Rauch, E., Dallasega, P. & Unterhofer, M. (2019). Requirements and barriers for introducing smart manufacturing in small and medium-sized enterprises. IEEE Engineering Management Review, 47(3), 87-94.

Rezqianita, B. L. & Ardi, R. (2020, June). Drivers and barriers of industry 4.0 adoption in Indonesian manufacturing industry. In Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering (pp. 123-

Pereira, C. & Sachidananda, H. K. (2022). Impact of industry 4.0 technologies on lean manufacturing and organizational performance in an organization. International Journal on Interactive Design and Manufacturing (IJIDeM), 16(1), 25-36.

Saleem, J., Hammoudeh, M., Raza, U., Adebisi, B. & Ande, R. (2018, June). IoT standardisation: Challenges, perspectives and solution. In Proceedings of the 2nd international conference on future networks and distributed systems (pp. 1-9).

Samaranayake, P., Ramanathan, K. & Laosirihongthong, T. (2017, December). Implementing industry 4.0—A technological readiness perspective. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 529-533). IEEE.

Santos, C., Mehrsai, A., Barros, A. C., Araújo, M. & Ares, E. (2017). Towards Industry 4.0: an overview of European strategic roadmaps. Procedia manufacturing, 13, 972-979.

Mark-Herbert, C. & Von Schantz, C. (2007). Communicating corporate social responsibility–brand management. EJBO-Electronic Journal of Business Ethics and Organization Studies.

Schumacher, A., Erol, S. & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia Cirp, 52, 161-166.

Schumacher, A., Nemeth, T. & Sihn, W. (2019). Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises. Procedia Cirp, 79, 409-414.

Shafiq, S. I., Sanin, C. & Szczerbicki, E. (2020). Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0. Cybernetics and Systems, 51(2), 84-102.

Sharma, A. K., Bhandari, R., Pinca-Bretotean, C., Sharma, C., Dhakad, S. K. & Mathur, A. (2021). A study of trends and industrial prospects of Industry 4.0. Materials Today: Proceedings, 47, 2364-2369.

Sharma, M. & Sehrawat, R. (2020). Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: Evidence from the manufacturing sector. Journal of Enterprise Information Management, 33(5), 1111-1152.

Sharma, R., Jabbour, C. J. C. & Lopes de Sousa Jabbour, A. B. (2021). Sustainable manufacturing and industry 4.0: what we know and what we don't. Journal of Enterprise Information Management, 34(1), 230-266

Shayganmehr, M., Kumar, A., Garza-Reyes, J. A. & Moktadir, M. A. (2021). Industry 4.0 enablers for a cleaner production and circular economy within the context of business ethics: A study in a developing country. Journal of Cleaner Production, 281, 125280.

Shinohara, A. C., da Silva, E. H. D. R., de Lima, E. P., Deschamps, F. & da Costa, S. E. G. (2017). Critical success factors for digital manufacturing implementation in the context of industry 4.0. In IIE Annual Conference. Proceedings (pp. 199-204). Institute of Industrial and Systems Engineers (IISE).

Shukla, M. & Shankar, R. (2022). Modeling of critical success factors for adoption of smart manufacturing system in Indian SMEs: an integrated approach. OPSEARCH, 59(4), 1271-1303

da Silva, E. H. D. R., Angelis, J. & de Lima, E. P. (2019). In pursuit of digital manufacturing. Procedia Manufacturing, 28, 63-69.

Singeh, F. W., Abdullah, A. & Kaur, K. (2021). Critical success factors for digital library implementation in Africa: Solution focused rather than problem focused. Information Development, 37(4), 544-557.

Siregar, K. L. & Asvial, M. (2020, June). Analysis of IoT implementation using the dematel method and TOES framework. In 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT) (pp. 19-23). IEEE.

Sirgy, M. J. (2002). Measuring corporate performance by building on the stakeholders model of business ethics. Journal of business ethics, 35, 143-162.

Sjödin, D. R., Parida, V., Leksell, M. & Petrovic, A. (2018). Smart Factory Implementation and Process Innovation: A Preliminary Maturity Model for Leveraging Digitalization in Manufacturing Moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies. Research-technology management, 61(5), 22-31.

Smuts, S., van Der Merwe, A. & Smuts, H. (2021, August). Industry 4.0 and Organisations: Key Organisational Capabilities. In Conference on e-Business, e-Services and e-Society (pp. 423-438). Cham: Springer International Publishing.

Sobin, C. C. (2020). A survey on architecture, protocols and challenges in IoT. Wireless Personal Communications, 112(3), 1383-1429.

Sony, M. & Naik, S. (2020). Critical factors for the successful implementation of Industry 4.0: a review and future research direction. Production Planning & Control, 31(10), 799-815.

Soomro, M. A., Hizam-Hanafiah, M., Abdullah, N. L., Ali, M. H., & Jusoh, M. S. (2021). Industry 4.0 Readiness of Technology Companies: A Pilot Study from Malaysia. Administrative Sciences 11(2).

Sulistiyowati, W. & Jakaria, R. B. (2018, November). Assessment of technology content level with integrated technometrics and Analytical Hierarchy Process (AHP) methods in small and medium enterprises. In IOP Conference Series: Materials Science and Engineering (Vol. 434, No. 1, p. 012246). IOP Publishing.

Surati, S., Patel, S. & Surati, K. (2021). Background and research challenges for FC for healthcare 4.0. Fog Computing for Healthcare 4.0 Environments: Technical, Societal, and Future Implications, 37-53.

Suwanposri, C., Bhatiasevi, V. & Thanakijsombat, T. (2021). Drivers of blockchain adoption in financial and supply chain enterprises. Global Business Review, 09721509211046170.

Taghian, M., D’Souza, C. & Polonsky, M. (2015). A stakeholder approach to corporate social responsibility, reputation and business performance. Social Responsibility Journal, 11(2), 340-363.

Tranfield, D., Denyer, D. & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British journal of management, 14(3), 207-222.

Trkman, P. (2010). The critical success factors of business process management. International journal of information management, 30(2), 125-134.

van Dinter, R., Tekinerdogan, B. & Catal, C. (2021). Automation of systematic literature reviews: A systematic literature review. Information and Software Technology, 136, 106589.

Vrchota, J. & Pech, M. (2019). Readiness of enterprises in Czech Republic to implement industry 4.0: Index of industry 4.0. Applied Sciences, 9(24), 5405.

Vrchota, J., Řehoř, P., Maříková, M. & Pech, M. (2020). Critical success factors of the project management in relation to industry 4.0 for sustainability of projects. Sustainability, 13(1), 281.

Wang, J., Ma, Y., Zhang, L., Gao, R. X. & Wu, D. (2018). Deep learning for smart manufacturing: Methods and applications. Journal of manufacturing systems, 48, 144-156.

Zangiacomi, A., Sacco, M., Pessot, E., De Zan, A. & Bertetti, M. (2018, June). A perspective for the implementation of a path towards the factory of the future: the Italian case. In 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1-9). IEEE.

Zezulka, F., Marcon, P., Bradac, Z., Arm, J., Benesl, T. & Vesely, I. (2018). Communication systems for industry 4.0 and the IIoT. IFAC-PapersOnLine, 51(6), 150-155.

آمار
تعداد مشاهده مقاله: 630
تعداد دریافت فایل اصل مقاله: 557





سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب