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IMPACT OF CUSTOMER RELATIONSHIP MANAGEMENT AND SERVICE QUALITY TO CUSTOMER LOYALTY SHOWROOM "MUJUR MOBIL" Sandra Oktaviana Pinaraswati; Saibat Saibat; Agustiawan Djoko Baruno; Suprihati Suprihati
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 7, No 2 (2023): IJEBAR, VOL. 07 ISSUE 02, JUNE 2023
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v7i2.9462

Abstract

This study aims to examine and prove the effect of the implementation of Customer Relationship Management and service quality on customer loyalty at Showroom “Mujur Mobil”. This study aims to determine customer factors in an effort to increase customer loyalty which is very useful, especially for business people in offering services. This study uses a quantitative approach with multiple linear regression analysis. The number of samples taken was 50 respondents and data collection was carried out by questionnaires to obtain data. The results of this study are customer relationship management (CRM) partially has a significant positive effect on customer loyalty, while service quality partially has a significant positive effect on customer loyalty, and simultaneously CRM and service quality have a positive impact on customer loyalty. Keywords : Customer Relationship Management, Service Quality, Customer Loyalty.
Leveraging AI To Enhance Green Marketing Strategies Agustiawan Djoko Baruno; Meithiana Indrasari
Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 6 No. 1 (2025): Januari
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/emak.v6i1.2206

Abstract

Abstract: The increasing focus on sustainability and environmental conservation has reshaped the marketing landscape, prompting businesses to adopt green marketing strategies. Simultaneously, advancements in Artificial Intelligence (AI) have transformed traditional marketing approaches, offering data-driven insights and innovative tools. This study explores the integration of AI technologies into green marketing to enhance its effectiveness and sustainability impact. It examines how AI-powered tools, such as predictive analytics, machine learning, and automation, can optimize green marketing strategies by enabling precise targeting, real-time campaign adjustments, and sustainability performance measurements. Through an analysis of existing literature, case studies, and real-world applications, this research highlights AI's potential to improve consumer engagement, build trust in eco-friendly brands, and overcome implementation challenges in diverse markets. The findings provide actionable insights for businesses, policymakers, and marketers, emphasizing the role of AI in advancing green marketing initiatives globally. This study bridges the gap between AI innovation and sustainable marketing, offering a comprehensive framework for leveraging technology to achieve environmental and business goals.