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Journal : Luxury: Landscape of Business Administration

Customer Satisfaction with Online Food Delivery Services Suhardjo, Suhardjo; Renaldo, Nicholas; Sevendy, Tandy; Wahid, Nabila; Cecilia, Cecilia
Luxury: Landscape of Business Administration Vol. 1 No. 2 (2023): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v1i2.27

Abstract

The rapid growth of online food delivery services in Indonesia, especially in Pekanbaru, has led to changes in consumer behavior. As a result, companies need to focus on various factors that can enhance customer satisfaction. This study investigates how service quality, promotional activities, and the user-friendliness of the delivery app impact customer satisfaction within this context. Sampling was conducted using a non-probability technique due to the unequal opportunity for all individuals to be part of the sample. The Roscoe approach was used to determine the sample size, resulting in 150 respondents. Data was collected through a questionnaire using a 5-point Likert scale, and analysis was performed using multiple linear regression and the SPSS 21 software. The findings of the study demonstrate that service quality, promotions, and ease of using the app all have a significant influence on customer satisfaction.
Use of AI-based Banking Applications for Customer Service Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Andi, Andi; Putri, Novita Yulia; Hutahuruk, Marice Br; Renaldo, Nicholas; Musa, Sulaiman; Cecilia, Cecilia
Luxury: Landscape of Business Administration Vol. 2 No. 2 (2024): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v2i2.100

Abstract

This paper explores the state-of-the-art advancements in AI-based banking applications and their impact on customer service, focusing on their capabilities, benefits, and potential challenges. The descriptive qualitative method is used to examine real-world applications of AI in banking, focusing on their operational mechanisms and influence on customer experiences. The data analysis process involves the following steps: Thematic Analysis, Comparative Analysis, and Content Analysis. AI technologies such as chatbots, virtual assistants, and fraud detection systems enhance operational efficiency, provide personalized experiences, and improve security in banking. AI-based banking applications have significantly enhanced customer service by improving operational efficiency, personalization, and security, leading to higher customer satisfaction. Future research can investigate frameworks for ensuring fairness, transparency, and accountability in AI-driven customer service systems.
A Qualitative Study on the Role of Big Data Technology in Influencing Capital Structure, Profitability, Dividend Policy, Firm Performance, Firm Value, and Sustainability Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Andi, Andi; Wahid, Nabila; Cecilia, Cecilia
Luxury: Landscape of Business Administration Vol. 3 No. 1 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i1.120

Abstract

This study seeks to explore how organizations perceive and utilize Big Data technology in shaping financial and sustainability strategies. This study also develops a new measurement for Big Data Technology variable. This study employs a qualitative research design using a multiple case study approach to gain in-depth insights into how firms adopt and interpret Big Data technology in relation to financial and sustainability outcomes. Data will be transcribed and coded using qualitative analysis software. Big Data Technology have a great effect on Capital Structure, Profitability, Dividend Policy, Firm Performance, Firm Value, and Sustainability. Big Data is not just a technological tool, but a strategic asset that supports integrated decision-making across both financial and non-financial performance areas. Future studies could use quantitative or mixed-method approaches to test hypotheses derived from this qualitative research, such as measuring the impact of Big Data maturity on profitability or ESG scores.