Advances in Global Economics and Business Journal

What Do You Think About the Service of Netflix? A Study on The Successful Pathway of Netflix

Yee Goh Xin — Wed, 20 Dec 2023 00:00:00 +0700

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.

Factors Influencing Brand Loyalty among Tiktok Users

Nurhaini Binti Zulkifli — Wed, 20 Dec 2023 00:00:00 +0700

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.

Factor Affecting Consumer Behaviours: The Case of Kellogg's

Wei Leik Keow — Wed, 20 Dec 2023 00:00:00 +0700

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.

How The Role of Big Data in The Supply Chain Works and The Impact it has

Zhou Liuxi — Wed, 20 Dec 2023 00:00:00 +0700

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 Digital Empire: Google. A study on Google’s User Satisfaction Level.

Rui Yin Lee — Wed, 20 Dec 2023 00:00:00 +0700

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.