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Sami Mohamed AlHaderi
School of Business, Taibah university, Yanbu, Saudi Arabia Kingdom
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Does the Institutional Pressure in KSA Affects the Application of Green Supply Chain Business Model Sami Mohamed AlHaderi
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (451.923 KB)

Abstract

In the  present research, we attempt to provide evidence that having the effect of leadership and institutional pressures role as a moderator, the integration of TQM and supplier relationship management facilitate companies in achieving environmental performance. The literature [1]  has well discussed how institutional pressures play their role in influencing the green supply chain practices adoption. The area which requires understanding is that how supplier relationship management, total quality management and leadership integration process are affected through institutional pressures on the firm’s environmental performance. Additionally, the institutional pressure is one of the key issues which are effecting the green supply chain mamagmnegt impnnetaion, therefore the study has examined the moderating role of institurioal pressure. Many scholars have made the studies on different sectors like manufacturing of electronic goods, gas and oil, automotive and components, whereas according to our knowledge we haven’t find any studies regarding petrochemical sector, which is the one of the main carbon emission source after deforestation, steel and refining of oil, transportation and cement. Secondly for undertaking a research project we got support from one of the petrochemical  industry on Saudi Arabia  , with respect to petrochemical  and its handwork for the practices of green supply chain mamagmnegt. The findings of the study have provided support to the hypotehsied results.
Does the Information Processing Requirements and Supply Chain Practices Effect the Imperativeness of an Agile Supply Chain Strategy for the Supply Chain Performance? Sami Mohamed AlHaderi
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.838 KB)

Abstract

This research study aims at explaining the way in which supply chain performance can be improved by agile supply chain strategy. The phenomenon has been studied from theoretical perspective. A key aspect is the complementary association between supply chain practices and supply chain strategy. It has been suggested that agile supply chain strategy can be supported by specific supply chain practices through a positive relation between supply chain performance and agile supply chain strategy. The second aspect is the firm’s information processing. Through this aspect, it can be examined whether the agile capability of information system improves the influence of supply chain practices as a mediator. The study has used the survey-based methodology to achieve the objective of the current study. The data is collected from the manufacturing firms in Kingdom of Saudi Arabia. The benefits of supply chain practices have been enhanced through IS capability by the creation of match between the abilities and needs of information processing. The influence of supply chain practices as a mediator between the relation of supply chain performance and agile supply chain is improved with ‘information system capability for agility. The relation between supply chain performance and agile supply chain strategy is positively mediated when the firm can deliver a range of products quickly. In order to deliver the required number of products, it is important to forecast the demand in an accurate way.
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