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Journal : Greenation International Journal of Engineering Science

The Role of Product Quality and Consumer Satisfaction in Increasing Consumer Loyalty (Marketing Management Literature Review) Aprelyani, Siska
Greenation International Journal of Engineering Science Vol. 1 No. 3 (2023): (GIJES) Greenation International Journal of Engineering Science (September 2023
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.283

Abstract

Literature Review The Role of Product Qualityand Consumer Satisfaction in Increasing Consumer Loyalty is a scientific article with the aim of analyzing whether product quality and consumer satisfaction play a role in consumer loyalty. The method of writing a literature review article is the library research method, which is sourced from online media such as Google Scholar, Mendeley and other online media. The results of this article are: 1) Product Quality plays a role in Consumer Loyalty; 2) Consumer Satisfaction plays a role in Consumer Loyalty; Apart from these 3 exogenous variables that influence the endogenous variable of Purchasing Decisions, there are still many other factors including brand image, promotion, price.
Implementation Of Artificial Intelligence In Innovation Of Modern Engineering And Industrial Systems Megantoro, Hanif; Aprelyani, Siska
Greenation International Journal of Engineering Science Vol. 3 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December 2025
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i4.720

Abstract

Literature Review on the role of Artificial Intelligence (AI) as a factor influencing the efficiency, performance, and innovation of modern industrial systems is a scientific article with the objective of analyzing whether the implementation of Artificial Intelligence (AI) plays a role in improving industrial system efficiency and performance, as well as in driving process and product innovation within the context of Industry 4.0 and Industry 5.0. This research method using document analysis by examining relevant national and international journal articles, conference proceedings, and reference books related to artificial intelligence, industrial automation, predictive maintenance, supply chain management, and industrial innovation. The results of this article indicate that: 1) the implementation of Artificial Intelligence (AI) significantly influences the efficiency and performance of modern industrial systems, particularly through production automation, predictive maintenance, and real-time data analysis; 2) the adoption of Artificial Intelligence (AI) contributes positively to innovation in industrial processes and products, enhances system adaptability, and supports data-driven decision-making in contemporary industrial environments. In addition to AI implementation, industrial efficiency and innovation are also influenced by other factors, including digital infrastructure readiness, workforce competencies, organizational strategy, data governance, and technological integration capabilities.