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All Journal International Journal of Communication and Society Advances in Global Economics and Business Journal International Journal of Tourism and Hospitality in Asia Pasific Journal of the Community Development in Asia
Liem, Gai Sin
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Customer Satisfaction on How McDonald's Performs on Post-Pandemic Oh, Zi Jian; Liem, Gai Sin; Han, Liew Chu; Xing, Liew Qiad; Yie, Liew Qian; Kang, Lim Boon; Rania, Hasna; Bahari, M. Hendis Mulya; Ainurridho, Dhani; Daifullah, Doly Difa
International Journal of Tourism and Hospitality in Asia Pasific Vol 6, No 2 (2023): June 2023
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijthap.v6i2.2372

Abstract

The Covid-19 has driven the entire planet to a dangerous tipping point, and no one is spared from this crisis, including our nation, Malaysia. Malaysia imposed the movement control order (MCO) on March 18, 2020, to blunt the exponential rise of Covid-19 cases and transition to the endemic phase of the Covid-19 pandemic on April 1, 2022. On account of that, this paper identifies customer satisfaction in the ways (social distancing, use of masks and hand sanitizers, contactless and cashless system, hygiene and cleanliness, and checking body temperature) McDonald’s adopted in Malaysia to surmount the outbreak of Covid-19. The researchers have collected primary data via Google Forms, with 150 participants partaking in this survey, and secondary data from different sources to conduct a deeper study on the research topic. Therein, this paper can enhance the understanding of how McDonald's performed post-pandemic. The researchers have used the IBM SPSS Statistic software to analyze the data collected. Overall, researchers find that most customers are satisfied with the measures taken by McDonald’s to combat Covid-19
AI-assisted Food Ordering and Delivery Management System for KFC: Insights from Malaysia, Indonesia and India Liem, Gai Sin; Koay, Loke Kean; Sanderan, Padmavathy A/P; Pong, Hui Ling; Poon, Zi Ying; Marimuthu, Sahliny A/P; Gisca, Aulia Purdiana; Gupta, Manshi; Saxena, Mansi; Kee, Daisy Mui Hung
Journal of The Community Development in Asia Vol 6, No 3 (2023): Journal of The Community Development in Asia (JCDA)
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v6i3.2540

Abstract

AI-assisted food ordering and delivery management systems is a revolutionary technology which aims to improve the ordering and delivery process of food by incorporating artificial intelligence. Hence, most of the restaurant owners had implemented AI-assisted food ordering and delivery management systems for improving the business efficiency and customer satisfaction. The objective of this paper is to evaluate how the AI-assisted service can create efficient planning and better customer satisfaction, predict consumer behavior which can save time and wastage of products for the restaurants. There were 100 respondents who participated in the online survey. The study and findings indicate that perceived convenience, reliability, price, ease of use, enjoyment, trust, social influence, and attitude influence consumers' behavioral intentions for food delivery services. Subsequently, this research contributes to a deeper understanding of the AI-assisted food ordering and delivery management system for restaurants. Recommendations and consequences were presented.
A Study of Customers’ Satisfaction at Burger King in Asian Countries Teoh, Kok Ban; Lew, Tek Yew; Gupta, Shikhar; Ang, Jia Wei; Ang, Hui Hui; Bong, Allychia Ling Li; Nazira, Aina; Zhafira, Adzra; Chauhan, Shalini; Pandey, Shivangi; Liem, Gai Sin; Mohan, Nitin
Journal of The Community Development in Asia Vol 6, No 3 (2023): Journal of The Community Development in Asia (JCDA)
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v6i3.2545

Abstract

The desire to raise customer satisfaction is driven by the rising demand for high-quality services from customers and the fierce competition in the fast-food business. The objective of this study is to examine the factors effecting customers’ satisfaction at Burger King including perceived product quality, price and service quality in Asian Countries. The countries selected for this study are Malaysia, Indonesia, India. A quantitative method was applied using surveys to collect data from customers. There were 126 customers who had made purchases at Burger King's who participated in the survey. This study found a substantial relationship between every independent variable and customer satisfaction. As a result of the findings, Burger King should focus on maintaining food quality, serving customers with speed and keeping the price competitive to have a positive impact on satisfaction.
Factors Affect Tourism Stock Price in Indonesia Goh, Thomas Sumarsan; Henry, Henry; Toni, Nagian; Erika, Erika; Liem, Gai Sin
International Journal of Communication and Society Vol 4, No 1 (2022): June 2022
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijcs.v4i1.507

Abstract

The study aims to examine which factors affect the tourism stock price more. The study uses weekly exchange rate and tourism stock prices; the inflation, interest rate, and the number of tourism use monthly data. Using descriptive statistics, correlation matrix, augmented Dickey Fuller's unit root test, VAR, the Granger causality test, and Impulse Response. The results show that all the variables in our observations have no causal relationship. Interest rates do not have a causal relationship with exchange rates, inflation, number of tourists, and tourism stock prices. The VAR models show interest rate has a negative impact on tourism stock price, exchange rate, and the number of tourists positively impacting tourism stock price. Inflation has no impact on tourism stock price. A decrease in interest rates will encourage investment to develop a business. A decrease in the IDR exchange rate against the USD will lower the product's price, so foreign tourists will feel that Indonesian goods are getting cheaper; thus, they will spend more and increase the tourism company's share price. Regulators can use the research results by lowering and maintaining the stability of interest rates, exchange rates, inflation, and increasing the number of tourists to Indonesia. 
Customer Satisfaction on How McDonald's Performs on Post-Pandemic Oh, Zi Jian; Liem, Gai Sin; Han, Liew Chu; Xing, Liew Qiad; Yie, Liew Qian; Kang, Lim Boon; Rania, Hasna; Bahari, M. Hendis Mulya; Ainurridho, Dhani; Daifullah, Doly Difa
International Journal of Tourism and Hospitality in Asia Pasific Vol 6, No 2 (2023): June 2023
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijthap.v6i2.2372

Abstract

The Covid-19 has driven the entire planet to a dangerous tipping point, and no one is spared from this crisis, including our nation, Malaysia. Malaysia imposed the movement control order (MCO) on March 18, 2020, to blunt the exponential rise of Covid-19 cases and transition to the endemic phase of the Covid-19 pandemic on April 1, 2022. On account of that, this paper identifies customer satisfaction in the ways (social distancing, use of masks and hand sanitizers, contactless and cashless system, hygiene and cleanliness, and checking body temperature) McDonald’s adopted in Malaysia to surmount the outbreak of Covid-19. The researchers have collected primary data via Google Forms, with 150 participants partaking in this survey, and secondary data from different sources to conduct a deeper study on the research topic. Therein, this paper can enhance the understanding of how McDonald's performed post-pandemic. The researchers have used the IBM SPSS Statistic software to analyze the data collected. Overall, researchers find that most customers are satisfied with the measures taken by McDonald’s to combat Covid-19
Analysis of Strategy in Retaining Its Customers: A Case Study of Starbucks in Malaysia Sekhar, Tushanthan A/L; Jian, Oh Zi; Liem, Gai Sin; Ying, Teoh Zhi; Sheng, Toh Kok; Xian, Tham Chui; Fitria, Yasmin Nur; Dewanti, Rosa Ayu; Thalib, Salsabilah Hani
Advances in Global Economics and Business Journal Vol. 5 No. 1 (2024): Advances in Global Economics and Business Journal (AGEBJ)
Publisher : The Global Academia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51748/agebj.v5i1.90

Abstract

Starbucks is an American coffee company and coffeehouse chain. The coffee chain in Malaysia is operated by Berjaya Starbucks Coffee Company Sendirian Berhad, which is part of the listed Berjaya Food Berhad. This study aims to analyze the strategy that Starbucks in Malaysia uses to retain its customers. The research methodology that we tend to use in this research is empirical as it will be conducted through primary data sources such as online survey techniques. The study will use questionnaires to gather information from Malaysian Starbucks customers. We want to do an empirical research paper because we are analyzing the strategy that Starbucks Malaysia is running to retain its customers as Starbucks is among the most well-known and recognized brands in the world. For that, we will analyze Starbucks' marketing formula and see how customers react to what Starbucks has done.
Co-Authors Ainurridho, Dhani Ang, Hui Hui Ang, Jia Wei Bahari, M. Hendis Mulya Bong, Allychia Ling Li Chauhan, Shalini Daifullah, Doly Difa Dewanti, Rosa Ayu Erika Erika Fitria, Yasmin Nur Gisca, Aulia Purdiana Goh, Thomas Sumarsan Gupta, Manshi Gupta, Shikhar Han, Liew Chu Henry, Henry Jian, Oh Zi Kang, Lim Boon Kee, Daisy Mui Hung Koay, Loke Kean Lew, Tek Yew Marimuthu, Sahliny A/P Mohan, Nitin Nazira, Aina Oh, Zi Jian Pandey, Shivangi Pong, Hui Ling Poon, Zi Ying Rania, Hasna Sanderan, Padmavathy A/P Saxena, Mansi Sekhar, Tushanthan A/L Sheng, Toh Kok Teoh, Kok Ban Thalib, Salsabilah Hani Toni, Nagian Xian, Tham Chui Xing, Liew Qiad Yie, Liew Qian Ying, Teoh Zhi Zhafira, Adzra