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Advances in Global Economics and Business Journal
Published by The Global Academia Publisher
ISSN : 27237133     EISSN : 27232042     DOI : https://doi.org/10.51748
Core Subject : Economy, Humanities, Science, Education,
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Other
Advances in Global Economic And Business Journal is an international, peer-reviewed, open-access, online & print publication of scholarly articles. AGEBJ features publications of original research from all disciplines within business, economy, finance and any related topic. By not excluding papers on the basis of Subject Areas, AGEBJ facilitates the discovery of the connections between papers whether within or between disciplines.It provides: Open-access—freely accessible online, authors retain copyright Fast publication times Peer review by expert, practicing researchers Post-publication tools to indicate quality and impact Community-based dialogue on articles Worldwide media coverage
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 51 Documents
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Study of Lazada in Malaysia Reveals the Impact of Social Media Marketing, Brand Trust, And Brand Loyalty on Consumers' Intention to Buy Intan Nur Nisa; Yee Huei Lok; Rosmelisa Yusof; Intan Nur Syaimaa Binti Mohd Bakri; Iskandar Aliff; Ivy Teoh Ai Wei; Pradhipta Hadyan Mahatmaputra; Dian Nanda Septi Nurawalya; Sachin; Rochana M B
Advances in Global Economics and Business Journal Vol. 4 No. 1 (2023): Advances in Global Economics and Business Journal (AGEBJ)
Publisher : Global Academia Publisher

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Abstract

Lazada Group, which was founded in 2012, is the top online shopping platform in Southeast Asia. During the Covid-19 outbreak, a lot of people have switched to electronic purchasing. Online buying is therefore anticipated to become commonplace in the post-pandemic economy. In Malaysia, Lazada seizes the chance and gains market share. This study intends to investigate if social media marketing, brand trust, and brand loyalty can affect Malaysian Lazada users' purchasing intentions. The information was gathered from 150 Lazada users who joined in the online survey through a google form. The results demonstrate social media marketing, brand trust, and brand loyalty influence Lazada users' purchasing intentions. Thus, this study focused on reference and in-intensity understanding of its correlations and a long-term relationship with its customers.
What Do You Think About the Service of Netflix? A Study on The Successful Pathway of Netflix Yee Goh Xin
Advances in Global Economics and Business Journal Vol. 4 No. 2 (2023): Advances in Global Economics and Business Journal (AGEBJ)
Publisher : The Global Academia Publisher

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Abstract

Nowadays, cinemas are not the only place to watch a movie. Netflix will become a better choice for everyone to watch movies as well as television drama series. Netflix users are able to watch any movies and television drama series anywhere anytime they wish. Undoubtedly, Netflix is a good platform for everyone to entertain themselves by watching movies as it is very convenient. Hence, this study will examine the factors that affect customer satisfaction with the service provided by the Netflix company in order to make themselves a success in the peer industry. This study employs survey data from Malaysian citizens by spreading the Google Form in media social platforms such as Telegram groups. The result shows Service quality, Brand image, and Brand loyalty are the factors that affect customer satisfaction. Besides that, the findings of this study suggest that Ease of use is the only construct that should be aware of by Netflix company in order to increase customer satisfaction.
Factor Affecting Consumer Behaviours: The Case of Kellogg's Wei Leik Keow
Advances in Global Economics and Business Journal Vol. 4 No. 2 (2023): Advances in Global Economics and Business Journal (AGEBJ)
Publisher : The Global Academia Publisher

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Abstract

The demand for Kellogg' products has increased due to the ease of preparation, one of the characteristics of Kellogg's products. Cereal and breakfast food sales have increased by 4.1% by the end of 2021. As the industry is experiencing progressive growth, Kellogg's, rated one of the world's most valuable food manufacturing brands, must excel in several areas to emerge as the industry leader. This research paper was conducted to investigate the relationship between several independent variables and consumer behaviour. A structured primary online survey of 157 Kellogg's customers was collected through Google Forms. This paper analyses the factors using appropriate statistical tools such as descriptive statistics, regression analysis, and inferential statistics. This study identified that psychological factors, market attributes, and product attributes would affect consumer behaviour directly. This study also delivered practical insights for the company engaging in the production and distribution of breakfast foods in the face of increasing consumer demand for healthy food options.
The Digital Empire: Google. A study on Google’s User Satisfaction Level. Rui Yin Lee
Advances in Global Economics and Business Journal Vol. 4 No. 2 (2023): Advances in Global Economics and Business Journal (AGEBJ)
Publisher : The Global Academia Publisher

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Abstract

This paper focuses on investigating the factors influencing Google user's satisfaction levels. The level of user satisfaction is crucial for Google as it represents its ability to dominate in this ever-changing technological world. We have identified the relationship between the independent variables (security and privacy, reachable and widespread customer service, expected performance, perceived ease of use, perceived usefulness, and personalisation) and the dependent variables (user satisfaction). A survey was conducted by distributing the google forms to 150 respondents. Respondents answer the questionnaire based on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). We adapted 19 items to investigate how the factors had influenced the user satisfaction level from the previous study. A sample item that has been asked in the questionnaire is "Google is constantly updated with the latest information". Next, the collected data are analysed using the IBM SPSS Statistics 26. The results show that security and privacy, expected performance and personalisation are positively affect the Google's user satisfaction level. The most influential factor influencing user satisfaction is expected performance followed by security, privacy, and personalisation.
Factors Influencing Brand Loyalty among Tiktok Users Nurhaini Binti Zulkifli
Advances in Global Economics and Business Journal Vol. 4 No. 2 (2023): Advances in Global Economics and Business Journal (AGEBJ)
Publisher : The Global Academia Publisher

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Abstract

In today’s life, social media is no longer just a platform to use for social purposes, it is more than that. People choose to spend their time on social media as they enable people to connect with one another across the globe, find career opportunities, and many more. TikTok has been super famous in this generation. The analysis shows a high probability that almost everyone knows of an app called TikTok. Statistically it can be seen from the "millennials" to "boomers" have known this application. The growth of TikTok has been rapidly increasing as it makes individuals addicted to the app itself. As TikTok took a lead in the ranking with the most active user in 2022, researches are made to define factors that influence brand loyalty among TikTok users. In this article, we can find out what factors increase users brand loyalty towards the TikTok application.
How The Role of Big Data in The Supply Chain Works and The Impact it has Zhou Liuxi
Advances in Global Economics and Business Journal Vol. 4 No. 2 (2023): Advances in Global Economics and Business Journal (AGEBJ)
Publisher : The Global Academia Publisher

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Abstract

Big data analytics (BDA) in supply chain management (SCM) is growing in attention. This is because BDA has a wide range of applications in SCM, including customer behavior analysis, trend analysis, and demand prediction. In this survey, we investigate the predictive BDA applications in supply chain demand forecasting to propose a classification of these applications, identify the gaps, and provide insights for future research. We classify these algorithms and their applications in supply chain management into time-series forecasting, clustering, K-nearest-neighbors, neural networks, regression analysis, support vector machines, and support vector regression. This survey also points to the fact that the literature is particularly lacking on the applications of BDA for demand forecasting in the case of closed-loop supply chains (CLSCs) and highlights avenues for future research. Big data analytics is a combination of tools, processing systems, and algorithms that can interpret insights from data. Traditionally, SCM relied on ERP and other disparate storage systems for data. Big Data assists in reconfiguring the numerous flexible sections of the supply chain, optimizing available resources (space, tools, materials, human resources, and so on), and maximizing productivity throughout implementation. Through our research, we want to know the scope of Big Data in Supply Chain.
THE DETERMINANT OF TAX EVASION DURING PANDEMIC COVID 19 IN JAKARTA IBRAHIM, IDA; Syahrial, Irzan; Arifin, Zainal
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.v5i1.85

Abstract

The present research seeks to empirically examine whether tax justice, technology, tax information, and taxpayer knowledge have an impact on tax evasion during the COVID-19 pandemic. Utilizing primary data, this research sample consists of Jakarta taxpayers who have tax identification numbers. This research method combines stratified random sampling with the formulas of Isaac and Michael. 150 participants constituted the sample size for this investigation. The multiple regression procedure was used to analyze the data. The method of analysis utilized by the SPSS 25 statistical program. The findings indicate that tax justice has an important impact on tax evasion. The lower the tax justice, it is seen as reasonable behavior. To reduce the rate of tax evasion, it should be implemented properly and correctly. Technology and tax information have a substantial influence on tax evasion. The lower the tax technology and information, it is encouraging to reduce the rate of tax evasion if it has been conveyed properly and taxpayers understand the technology that has been applied. Taxpayers’ knowledge affects tax evasion. The lower the taxpayer’s knowledge, the more it will contribute to reducing tax evasion if taxpayers have information about taxes.
The Transformative Impact of Artificial Intelligence on Economics Silmi, Tsabita Atina
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.v5i1.88

Abstract

The swift progress in artificial intelligence (AI) is expected to have a profound impact on the global economy. This document systematically reviews the economic implications of AI, placing a central emphasis on improving productivity and fostering economic growth. It explores the consequences of AI on employment and examines whether it will contribute to the widening of income inequality. In consideration of these aspects, a summary is provided regarding the implementation of public policies designed to alleviate potential negative effects of AI on employment structures and income distribution. Lastly, the paper concludes with a brief overview and delineates potential areas for future research. The insights from this study are essential for formulating effective policy strategies to navigate the societal and economic consequences of AI. In summary, the world must be ready to confront both the challenges and opportunities arising from the rapid advancements in the field of AI to maximize benefits and minimize risks
Golden Arches Going Green: The Impact of McDonald’s Sustainability Achievements on Public Image Lee, Yong Yu; Kee, Daisy Mui Hung; Neng Ang, Vernoon Wei; Vadhi Vehlan, Laneishwar A/L Sri Satthian; Lee, Li Xin; Lee, See Ming; Ardel, Muhammad Raid
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.v5i1.89

Abstract

This paper analyzes the correlation between McDonald's sustainability achievements and its public image. Despite receiving criticism for its environmental and social impact, McDonald's has recently made notable progress in sustainability by setting targets to source sustainable coffee, palm oil, and fish, as well as reducing greenhouse gas emissions. By utilizing a quantitative approach involving 108 customer surveys, this study investigates the influence of McDonald's sustainability achievements on its public image. The survey results reveal that respondents who were aware of McDonald's sustainability efforts exhibited a more favorable perception of the company. This study concludes that McDonald's sustainability endeavors have contributed to its environmental and social responsibility objectives while enhancing its reputation among stakeholders. Moreover, the research findings shed light on the factors that affect sustainability perception and the public image of fast-food brands. Furthermore, it calls for future research to explore the impact of cultural factors and stakeholder perspectives on the public image of fast-food chains. The findings offer valuable insights into the potential advantages of sustainability initiatives for companies aiming to improve their public image and foster consumer trust
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.

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