The impact of industry 4.0 on supply chainintegration and performance: An empiricalinvestigation in an emerging market
Başlık çevirisi mevcut değil.
- Tez No: 717519
- Danışmanlar: PROF. DR. SZEGEDİ ZOLTáN
- Tez Türü: Doktora
- Konular: İşletme, Business Administration
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2020
- Dil: İngilizce
- Üniversite: Szent Istvan Unıversıty
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
The aim of this dissertation was to analyse the effect of Industry 4.0 on Supply Chain Integration (SCI) and Supply Chain Performance (SCP) in the manufacturing industry in Turkey. After reviewing the literature comprehensively, four hypotheses were formulated in this dissertation: (1) Industry 4.0 positively affects SCI, (2) SCI positively affects SCP, (3) Industry 4.0 positively affects SCP and (4) SCI mediates the relationship between Industry 4.0 and SCP. Since Industry 4.0 is not a well-established term in supply chain practices, the huge gap has been identified through the literature. Before evaluating these hypotheses, the pilot study has been applied with 14 manufacturers to develop the items of the questionnaire. To examine the hypotheses put forth above, the author adopted the survey instrument from different studies for Industry 4.0, SCI and SCP through the insights of the literature review and the interviews. To gather the primary data, the questionnaire was distributed to 1000 largest manufacturing companies in Turkey according to the Istanbul Chamber of Industry (ISO). A total of 212 usable responses were taken out of 1000 companies. Therefore, the response rate is 21.2% among the targeted sample. As for the analysis of the data collected, firstly,“Confirmatory Factor Analysis (CFA)”has been conducted for the items of Industry 4.0, SCI and SCP. The findings indicated that a total of 9 items were eliminated from the Industry 4.0 scale while only one item was removed from the SCP scale because they did not perform in satisfying thresholds. Later, the rest of the items were analysed in structural equation modelling by using the PLS-SEM method which examines the relationships between Industry 4.0, SCI and SCP. The findings of the analysis indicated that the practices of Industry 4.0 have a strong and positive impact on SCI, SCI positively and significantly affect SCP, Industry 4.0 has a positive impact on SCP; however, this relationship is weak and SCI partially mediates the relationship between Industry 4.0 and SCP. Therefore, hypotheses 1, 2 and 3 were supported while hypothesis 4 was partially supported. Although three control variables - employee numbers, annual revenue and sector of the companies- were added into the model, the results still remained the same for the relationships between Industry 4.0 and SCI, and SCI and SCP; however, these variables changed the findings of the relationship between Industry 4.0 and SCP since the relationship was insignificant with the control variables. Therefore, the impact of Industry 4.0 on SCP is significant when it is independently taken from these control variables. This dissertation provides an analysis of Industry 4.0 practices on the SCM concept, that might be practical for operations management and supply chain researchers who are likely to develop further research on that field as well as for operations, production and supply chain managers 113 and practitioners. However, there are still several open questions to be responded to; therefore, this dissertation also recommends that future studies might concentrate on implementation and standardisation of the practices of Industry 4.0 on SCM by integrating the network partners, machines and employees with the digital technologies.
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