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EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY

Yıl 2022, Cilt: 10 Sayı: 2, 82 - 92, 23.08.2022
https://doi.org/10.20290/estubtdb.1040342

Öz

Cloud manufacturing has emerged as a breakthrough of IT services, including the internet of things (IoT) and artificial intelligence (AI) for business processes in the manufacturing sector. It has also brought the need to complete the integrated business processes such as an integrated supply chain, inventory management, and production for utilizing this technology. In this context, IT decision-makers attempt to develop a cloud-based manufacturing model for downloading, configuring, and maintaining machinery from cloud providers that enables the top managers just to focus on their product in business. The research aims to build for monitoring the differences between cloud manufacturing adopters and non-adopters to understand the behavioral intention by monitoring the Diffusion of Innovation (DOI) theory and the Technological, Organizational, and Environmental (TOE) theory of cloud manufacturing adoption. An independent t-test sample was used to analyze data. 19 manufacturing cloud adopters and 19 non-cloud adopters were selected to analyze data via SPSS 26.0 in Turkey. The results exhibited that manufacturing cloud adopters and non-cloud adopters considered the same for relative advantage, cost-saving, competitive pressure, and regulatory support. However, they found differences in security concerns, compatibility, complexity, technological readiness, and top management support. The study brought an outlook for understanding the benefits, drawbacks, and hinders of cloud manufacturing of manufacturers. This will enable comprehensive information for cloud providers to offer appropriate integrated software according to manufacturers’ needs of the production.

Kaynakça

  • [1] Al-jawazneh BE. The prospects of cloud computing in supply chain management (A theoretical perspective). Journal of Management Research 2016; 8: 145-158.
  • [2] https://www.marketwatch.com/press-release/global-cloud-manufacturing-market-size-rising-at-112-cagr-to-reach-86290-million-usd-by-2027-2021-12-03
  • [3] https://www.ctrls.in/blog/cloud-adoption-trends-manufacturing-sector-insights-global-vs-indian-scenario/
  • [4] https://www.industryweek.com/cloud-computing/article/22024167/cloud-computing-in-the-manufacturing-industry-dont-get-left-behind
  • [5] Bento A, Bento R. Cloud computing: A new phase in information technology management. Journal of Information Technology Management 2011; 22: 39-46.
  • [6] Hoberg P, Wollersheim J, Krcmar H. The business perspective on cloud computing-A literature review of research on cloud computing. AMCIS 2012 Proceedings; Research on Cloud Computing; August 9-12, 2012; Seattle, 5.
  • [7] Youseff L, Butrico MA, Da Silva D. Toward a unified ontology of cloud computing: Grid computing environments workshop. GCE’08; 12-16 Nov. 2008; pp. 1–10. https://doi.org/10.1109/GCE.2008.4738443
  • [8] Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasin A. Cloud computing — The business perspective. Decision Support Systems 2011; 51: 176–189. https://doi.org/10.1016/j.dss.2010.12.006
  • [9] Lele A. Cloud computing: Disruptive technologies for the militaries and security, smart innovation, Systems and Technologies, 2019. pp. 167–185. https://doi.org/10.1007/978-981-13-3384-2_10
  • [10] Wu D, Greer MJ, Rosen DW, Schaefer D. Cloud manufacturing: Strategic vision and state-of-the-art. Journal of Manufacturing Systems 2013; 32: 564-579.
  • [11] Milisavljevic-Syed J, Thames JL, Schaefer D. The digitization of design and manufacturing: A state-of-the-art report on the transition from strategic vision to implementation in industry. Procedia CIRP 2020; 93: 575-580.
  • [12] Mukhopadhyay BR, Mukhopadhyay BK. Industry 4.0, Leveraging the fourth industrial revolution, The Sentinel 2021, Editorial, 3rd November.
  • [13] https://www.forbes.com/sites/louiscolumbus/2013/05/06/ten-ways-cloud-computing-is-revolutionizing-manufacturing/?sh=213948d2859c
  • [14] Sadiku MN, Ashaolu TJ, Ajayi-Majebi A, Musa, SM. The Essence of Cloud Manufacturing. International Journal of Scientific Advances (IJSCIA) 2020; 1: 109- 111.
  • [15] Wang P, Gao RX, Fan Z. Cloud computing for cloud manufacturing: benefits and limitations. Journal of Manufacturing Science and Engineering 2015, 137: 040901.
  • [16] Srilakshmi M, Veenadhari CHL, Pradeep IK. Deployment models of cloud computing: challenges. International Journal of Advanced Research in Computer Science 2013; 4: 135-138.
  • [17] Wright CS. The IT regulatory and standards compliance handbook: How to survive information systems audit and assessments. Burlington. MA, USA: Elsevier, 2008.
  • [18] Sallehudin H, Razak RC, Ismail, M. Factors influencing cloud computing adoption in the public sector: An empirical analysis. Journal of Entrepreneurship and Business 2015; 3: 30–45. https://doi.org/10.17687/JEB.0301.03
  • [19] Alajmi Q, Arshah RA, Kamaludin A, Sadiq AS, Al-Sharafi MA. A conceptual model of e-learning based on cloud computing adoption in higher education institutions. 2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA; 21-23 Nov. 2017; Ras Al Khaimah, United Arab Emirates. pp. 1-6.
  • [20] Gutierrez A, Boukrami E, Lumsden R. Technological, organizational, and environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management 2015; 28: 788-807. https://doi.org/10.1108/JEIM-01-2015-0001
  • [21] Al-Shura MS, Zabadi AM, Abughazaleh M, Alhadi MA. Critical success factors for adopting cloud computing in pharmaceutical manufacturing companies. Management and Economics Review, 2018; 3: 123-137.
  • [22] Narkhede BE, Raut RD, Narwane VS, Bhandarkar BM, Pundir AK. Assessing the Determinants of Cloud Computing Adoption for Educational Sector. Proceedings of the International Conference on Industrial Engineering and Operations Management; July 26-27, 2018; Paris, France. pp. 1277-1290.
  • [23] Oliveira T, Thomas M, Espadanal M. Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 2014; 51: 497-510.
  • [24] Kyriakou N, Maragoudakis M, Loukis E, Themistocleous M. Prediction of propensity for enterprise cloud computing adoption. Proceedings of the 50th Hawaii International Conference on System Sciences; January 4-7, 2017. pp 4907-4916.
  • [25] Yassin AT, Alnidawy BK. A taxonomy of: The reviews on Cloud Computing Direction (CCD). Journal of Advanced Computer Science & Technology, 2015;4: 204-211.
  • [26] Seifu SD, Dahiru AA, Bass JM, Allison IK. Cloud‐computing: Adoption issues for Ethiopian public and private enterprises. The Electronic Journal of Information Systems in Developing Countries, 2017; 78: 1-14.
  • [27] Goktas P, Baysal, H. Türkiye’de dijital insan kaynaklari yönetiminde bulut bilişim. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2018; 23: 1409-1424.
  • [28] Hair JF, Ringle, CM, Sarstedt, M. Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 2013; 46: 1-12.
  • [29] Tabachnick BG, Fidell LS. Using multivariate statistics. Boston: Pearson/Allyn & Bacon, 2007.
  • [30] Henzel R, Herzwurm G. Cloud Manufacturing: A state-of-the-art survey of current issues. Procedia CIRP, 2018;72: 947-952.
  • [31] Bradford M. Modern ERP: Select, Implement, & Use Today's Advanced Business Systems. 3rd ed. North Carolina, NC, USA: Microsoft Copyright, 2015.
  • [32] Pizurica V. When IoT Meets Artificial Intelligence, Internet of Things Event 2016, 5th ed.
  • [33] https://cloudscorecard.bsa.org/2018/pdf/BSA_2018_Global_Cloud_Scorecard.pdf
  • [34] Doshi, H. CISA- Certified information systems auditor study guide. Birmingham, UK: Packt Publishing, 2020.
  • [35] Groover MP. Fundamentals of modern manufacturing: materials, processes, and systems. Hoboken, NJ, USA: John Wiley & Sons, 2020.
  • [36] Laudon KC, Laudon JP. Management Information Systems: Managing the Digital Firm. 15th ed. New York, USA: Pearson Education Inc, 2019.

TÜRKİYE’DE BT KARAR VERİCİLERİN BULUT ÜRETİMİN KABUL EDİLMESİNE İLİŞKİN GÖRÜŞLERİNİN ORTAYA KONMASI

Yıl 2022, Cilt: 10 Sayı: 2, 82 - 92, 23.08.2022
https://doi.org/10.20290/estubtdb.1040342

Öz

Bulut üretimi, imalat sektöründeki iş süreçleri için nesnelerin interneti (IoT) ve yapay zeka (AI) dahil olmak üzere BT hizmetlerinde çığır açan bir buluş olarak ortaya çıkmıştır. Bu teknoloji, entegre tedarik zinciri, stok yönetimi, üretim gibi entegre iş süreçlerinin tamamlanması ihtiyacını da beraberinde getirmiştir. Bu bağlamda, BT karar alıcıları, bulut sağlayıcılarından makinelerin indirilmesi, yapılandırılması ve bakımı için bulut tabanlı bir üretim modeli geliştirmeye çalışmaktadırlar ve bu da üst düzey yöneticilerin işletmelerinde yalnızca ürünlerine odaklanmasını sağlarmaktadır. Araştırma, Yeniliğin Yayılması (DOI) teorisini ve Bulut üretiminin adaptasyonuna ilişkin Teknolojik, Örgütsel ve Çevresel (TOE) teorisini izleyerek davranışsal niyeti anlamak için bulut üretimini adapte edenler ve adapte etmeyenler arasındaki farkları izlemeyi amaçlamaktadır. Verileri analiz etmek için bağımsız bir t testi örneği kullanılmıştır. Türkiye'de verileri SPSS 26.0 aracılığıyla analiz etmek için 19 üretim bulutu adapte eden ve 19 adapte etmeyen üretici seçilmiştir. Sonuçlar, üretim bulutunu adapte edenlerin ve adapte etmeyenlerin göreli avantaj, maliyet tasarrufu, rekabet baskısı ve düzenleyici destek için aynı şekilde düşündüklerini göstermektedir. Ancak güvenlik endişeleri, uyumluluk, karmaşıklık, teknolojik hazırlık ve üst yönetim desteğinde aralarında farklılıklar bulunduğu tespit edilmiştir. Çalışma, üreticilerin bulut üretiminin yararlarını, sakıncalarını ve engellerini anlayabilmesi için bir bakış açısı getirmiştir. Bu da bulut sağlayıcılarının, üreticilerin üretim ihtiyaçlarına göre uygun entegre yazılımlar sunmasına yönelik kapsamlı bilgiler sağlayacaktır.

Kaynakça

  • [1] Al-jawazneh BE. The prospects of cloud computing in supply chain management (A theoretical perspective). Journal of Management Research 2016; 8: 145-158.
  • [2] https://www.marketwatch.com/press-release/global-cloud-manufacturing-market-size-rising-at-112-cagr-to-reach-86290-million-usd-by-2027-2021-12-03
  • [3] https://www.ctrls.in/blog/cloud-adoption-trends-manufacturing-sector-insights-global-vs-indian-scenario/
  • [4] https://www.industryweek.com/cloud-computing/article/22024167/cloud-computing-in-the-manufacturing-industry-dont-get-left-behind
  • [5] Bento A, Bento R. Cloud computing: A new phase in information technology management. Journal of Information Technology Management 2011; 22: 39-46.
  • [6] Hoberg P, Wollersheim J, Krcmar H. The business perspective on cloud computing-A literature review of research on cloud computing. AMCIS 2012 Proceedings; Research on Cloud Computing; August 9-12, 2012; Seattle, 5.
  • [7] Youseff L, Butrico MA, Da Silva D. Toward a unified ontology of cloud computing: Grid computing environments workshop. GCE’08; 12-16 Nov. 2008; pp. 1–10. https://doi.org/10.1109/GCE.2008.4738443
  • [8] Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasin A. Cloud computing — The business perspective. Decision Support Systems 2011; 51: 176–189. https://doi.org/10.1016/j.dss.2010.12.006
  • [9] Lele A. Cloud computing: Disruptive technologies for the militaries and security, smart innovation, Systems and Technologies, 2019. pp. 167–185. https://doi.org/10.1007/978-981-13-3384-2_10
  • [10] Wu D, Greer MJ, Rosen DW, Schaefer D. Cloud manufacturing: Strategic vision and state-of-the-art. Journal of Manufacturing Systems 2013; 32: 564-579.
  • [11] Milisavljevic-Syed J, Thames JL, Schaefer D. The digitization of design and manufacturing: A state-of-the-art report on the transition from strategic vision to implementation in industry. Procedia CIRP 2020; 93: 575-580.
  • [12] Mukhopadhyay BR, Mukhopadhyay BK. Industry 4.0, Leveraging the fourth industrial revolution, The Sentinel 2021, Editorial, 3rd November.
  • [13] https://www.forbes.com/sites/louiscolumbus/2013/05/06/ten-ways-cloud-computing-is-revolutionizing-manufacturing/?sh=213948d2859c
  • [14] Sadiku MN, Ashaolu TJ, Ajayi-Majebi A, Musa, SM. The Essence of Cloud Manufacturing. International Journal of Scientific Advances (IJSCIA) 2020; 1: 109- 111.
  • [15] Wang P, Gao RX, Fan Z. Cloud computing for cloud manufacturing: benefits and limitations. Journal of Manufacturing Science and Engineering 2015, 137: 040901.
  • [16] Srilakshmi M, Veenadhari CHL, Pradeep IK. Deployment models of cloud computing: challenges. International Journal of Advanced Research in Computer Science 2013; 4: 135-138.
  • [17] Wright CS. The IT regulatory and standards compliance handbook: How to survive information systems audit and assessments. Burlington. MA, USA: Elsevier, 2008.
  • [18] Sallehudin H, Razak RC, Ismail, M. Factors influencing cloud computing adoption in the public sector: An empirical analysis. Journal of Entrepreneurship and Business 2015; 3: 30–45. https://doi.org/10.17687/JEB.0301.03
  • [19] Alajmi Q, Arshah RA, Kamaludin A, Sadiq AS, Al-Sharafi MA. A conceptual model of e-learning based on cloud computing adoption in higher education institutions. 2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA; 21-23 Nov. 2017; Ras Al Khaimah, United Arab Emirates. pp. 1-6.
  • [20] Gutierrez A, Boukrami E, Lumsden R. Technological, organizational, and environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management 2015; 28: 788-807. https://doi.org/10.1108/JEIM-01-2015-0001
  • [21] Al-Shura MS, Zabadi AM, Abughazaleh M, Alhadi MA. Critical success factors for adopting cloud computing in pharmaceutical manufacturing companies. Management and Economics Review, 2018; 3: 123-137.
  • [22] Narkhede BE, Raut RD, Narwane VS, Bhandarkar BM, Pundir AK. Assessing the Determinants of Cloud Computing Adoption for Educational Sector. Proceedings of the International Conference on Industrial Engineering and Operations Management; July 26-27, 2018; Paris, France. pp. 1277-1290.
  • [23] Oliveira T, Thomas M, Espadanal M. Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 2014; 51: 497-510.
  • [24] Kyriakou N, Maragoudakis M, Loukis E, Themistocleous M. Prediction of propensity for enterprise cloud computing adoption. Proceedings of the 50th Hawaii International Conference on System Sciences; January 4-7, 2017. pp 4907-4916.
  • [25] Yassin AT, Alnidawy BK. A taxonomy of: The reviews on Cloud Computing Direction (CCD). Journal of Advanced Computer Science & Technology, 2015;4: 204-211.
  • [26] Seifu SD, Dahiru AA, Bass JM, Allison IK. Cloud‐computing: Adoption issues for Ethiopian public and private enterprises. The Electronic Journal of Information Systems in Developing Countries, 2017; 78: 1-14.
  • [27] Goktas P, Baysal, H. Türkiye’de dijital insan kaynaklari yönetiminde bulut bilişim. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2018; 23: 1409-1424.
  • [28] Hair JF, Ringle, CM, Sarstedt, M. Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 2013; 46: 1-12.
  • [29] Tabachnick BG, Fidell LS. Using multivariate statistics. Boston: Pearson/Allyn & Bacon, 2007.
  • [30] Henzel R, Herzwurm G. Cloud Manufacturing: A state-of-the-art survey of current issues. Procedia CIRP, 2018;72: 947-952.
  • [31] Bradford M. Modern ERP: Select, Implement, & Use Today's Advanced Business Systems. 3rd ed. North Carolina, NC, USA: Microsoft Copyright, 2015.
  • [32] Pizurica V. When IoT Meets Artificial Intelligence, Internet of Things Event 2016, 5th ed.
  • [33] https://cloudscorecard.bsa.org/2018/pdf/BSA_2018_Global_Cloud_Scorecard.pdf
  • [34] Doshi, H. CISA- Certified information systems auditor study guide. Birmingham, UK: Packt Publishing, 2020.
  • [35] Groover MP. Fundamentals of modern manufacturing: materials, processes, and systems. Hoboken, NJ, USA: John Wiley & Sons, 2020.
  • [36] Laudon KC, Laudon JP. Management Information Systems: Managing the Digital Firm. 15th ed. New York, USA: Pearson Education Inc, 2019.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Can Saygıner 0000-0002-1680-392X

Yayımlanma Tarihi 23 Ağustos 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 10 Sayı: 2

Kaynak Göster

APA Saygıner, C. (2022). EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, 10(2), 82-92. https://doi.org/10.20290/estubtdb.1040342
AMA Saygıner C. EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. Ağustos 2022;10(2):82-92. doi:10.20290/estubtdb.1040342
Chicago Saygıner, Can. “EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler 10, sy. 2 (Ağustos 2022): 82-92. https://doi.org/10.20290/estubtdb.1040342.
EndNote Saygıner C (01 Ağustos 2022) EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 10 2 82–92.
IEEE C. Saygıner, “EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY”, Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler, c. 10, sy. 2, ss. 82–92, 2022, doi: 10.20290/estubtdb.1040342.
ISNAD Saygıner, Can. “EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY”. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 10/2 (Ağustos 2022), 82-92. https://doi.org/10.20290/estubtdb.1040342.
JAMA Saygıner C. EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2022;10:82–92.
MLA Saygıner, Can. “EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, c. 10, sy. 2, 2022, ss. 82-92, doi:10.20290/estubtdb.1040342.
Vancouver Saygıner C. EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2022;10(2):82-9.