Ken Sabardiman Soetjipto
Institut Teknologi dan Bisnis Bina Sarana Global, Indonesia

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Sales Promotion Strategies and Customer Satisfaction among Retail Customers in Jakarta Arni Kurniati; Rosana Junita Sirait; Rozikin; Ken Sabardiman Soetjipto; Jarudin
Jurnal Manajemen Bisnis Vol. 13 No. 2 (2026): September
Publisher : Pusat Penerbitan dan Publikasi Ilmiah, FEB, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/jmb.v13i2.1756

Abstract

Retail competition requires firms to design promotional programs that create customer value and support satisfaction. This study examined the relationship between sales promotion strategies and customer satisfaction among retail customers in Jakarta, Indonesia. A quantitative cross-sectional survey was conducted with 210 respondents selected through purposive sampling, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The measurement model demonstrated satisfactory validity and reliability, with indicator loadings above 0.70, AVE values above 0.50, composite reliability above 0.70, and an HTMT value of 0.464. Sales promotion strategies were positively and significantly associated with customer satisfaction (β = 0.380, t = 7.084, p < 0.001), while the model explained 14.4% of the variance in customer satisfaction (R² = 0.144). The findings suggest that Jakarta retail businesses should develop attractive, clear, and value-oriented promotions while recognizing that customer satisfaction also depends on factors beyond sales promotion.
Artificial Intelligence-Based Marketing and Business Performance: The Mediating Role of Customer Experience Sofia Maulida; Agus Sumarna; R. Didik Heriyantoro; Ken Sabardiman Soetjipto; Jarudin Wastira
Fundamental and Applied Management Journal Vol. 4 No. 3 (2026): September
Publisher : Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/famj.v4i3.1267

Abstract

The rapid adoption of artificial intelligence (AI) has transformed marketing through personalised recommendations, chatbots, predictive analytics, automated advertising, and customer-data analysis. However, further evidence is needed to explain how these applications influence customer experience and translate into improved business performance. This study examines the effects of AI-based marketing on customer experience and business performance, including the mediating role of customer experience. A quantitative explanatory design was employed using survey data collected from 200 Indonesian customers who had interacted with AI-enabled marketing services. The proposed relationships were analysed using partial least squares structural equation modelling (PLS-SEM) with SmartPLS. The measurement model demonstrated satisfactory convergent validity, discriminant validity, and internal consistency. The structural model explained 46.4% of the variance in customer experience and 43.5% of the variance in business performance. AI-based marketing had a positive and significant effect on customer experience (β = 0.681, t = 11.210, p < 0.001). Customer experience also positively influenced business performance (β = 0.460, t = 5.678, p < 0.001), while AI-based marketing had a significant direct effect on business performance (β = 0.253, t = 3.470, p = 0.001). Furthermore, customer experience significantly mediated the relationship between AI-based marketing and business performance (indirect effect: β = 0.314, t = 4.915, p < 0.001). These findings demonstrate that AI-based marketing improves business performance both directly and indirectly by creating more personalised, responsive, convenient, and efficient customer interactions. The study highlights customer experience as an important mechanism connecting AI-enabled marketing practices with organisational outcomes. Managers should therefore evaluate AI investments not only by their automation capabilities but also by their capacity to create customer value, strengthen relationships, improve marketing effectiveness, and sustain business competitiveness.