Mobile Phone Products Research Articles

An Intelligent Scheduling Approach on Mobile OS for Optimizing UI Smoothness and Power

Mobile devices need to respond quickly to diverse user inputs. The existing approaches often heuristically raise the CPU/GPU frequency according to the empirical rules when facing burst inputs and various changes. Although doing so can be effective sometimes, the existing approaches still need improvements. For instance, raising processors’ frequency can lead to high power consumption when the frequency is over-provisioned or fails to meet user demands when the frequency is under-provisioned. To this end, we propose MobiRL, a reinforcement learning-based scheduler for intelligent adjusting CPU/GPU frequency to satisfy user demands accurately on mobile systems. MobiRL monitors the mobile system status and autonomously learns to optimize UI smoothness and power consumption by conducting CPU/GPU frequency-adjusting actions. The experimental results on the latest delivered smartphones show that MobiRL outperforms the widely used commercial scheduler on real devices – reducing the frame drop rate by 4.1% and reducing power consumption by 42.8%, respectively. Moreover, compared with a study using Q-Learning for CPU frequency scheduling, MobiRL achieves up to 2.5% lower frame drop rate and reduces power consumption by 32.6%, respectively. Our approach has been deployed in mobile phone products.

Pengaruh Mobile App Attractiveness, Functionality, Security dan Consumer Fulfillment Terhadap E-Loyalty dengan E-Satisfaction Sebagai Intervening pada E-Commerce Tokopedia

With e-satisfaction serving as a mediator in the Tokopedia online business, the purpose of this study is to examine the impact of versatile application attractiveness, functionality, security, and customer fulfilment on e-loyalty. For the quantitative research approach, data were gathered through a survey. The members in this study are Tokopedia web based business clients who have made purchases there. The sample for this study is made up of some Tokopedia e-commerce customers who have purchased at least one mobile phone product since January 2023. Tokopedia is only available to customers in Greater Jakarta. In this study, probability sampling is used. The SEM-PLS approach is used by the specialist. The study found that attractiveness, security, and customer fulfillment of mobile apps had a significant impact on e-satisfaction. Functionality had no significant impact on e-satisfaction. E-loyalty is also significantly influenced by customer satisfaction and customer fulfillment. E-satisfaction had no significant impact on moderating customer fulfillment to e-loyalty in this study.

P‐85: The Methods to Improve Low‐gray Lens Mura

With the development of OLED display technology and the intensified competition in the OLED mobile phone product market, consumers are increasingly demanding the display quality of OLED mobile phones. The higher image quality requirements have prompted panel makers to minimize the impact of mura through process improvement, product design optimization, etc. Low‐gray lens mura is an important one which affect display quality. This paper provides an effective direction for optimizing the process parameters of exposure machine and product design to weakening the influence of lens mura.

PENGARUH KUALITAS PRODUK, HARGA, PROMOSI, DAN CITRA MERK TERHADAP KEPUTUSAN PEMBELIAN PRODUK HANDPHONE MEREK APPLE

This study aims to analyze the effect of product quality, price, promotion and brand image on purchasing decisions for Apple brand mobile phone products. This study uses a quantitative approach with a survey method. The research sample was 100 respondents using purposive sampling method with the following criteria: (1) Consumers and users of apple brand smarphone, (2) Aged 18-35, (3) People residing in Solo Raya. The data analysis used is instrument test, classical assumption test, multiple linear regression test, hypothesis test, and determination coefficient test. The results showed that product quality, price, promotion, and brand image partially had a significant positive effect on purchasing decisions.

The Influence of Social Media Marketing Activities on Brand Loyalty in Mobile Phone Products

Marketing activities through social media have become a common practice in the 21st-century business world. This has facilitated direct interaction between companies and consumers, engaging them in direct communication. This study aims to systematically and comprehensively examine the impact generated by social media marketing activities (SMMA) on the creation of brand awareness, brand image, and perceived quality. The research will measure the impact on brand equity resulting from the utilization of SMMA, specifically focusing on its influence on brand loyalty concerning mobile phone products within Indonesian society. The research will employ data collection through surveys and Structural Equation Modeling (SEM) methodology. The findings indicate that Social Media Marketing Activities (SMMA) have a positive and significant impact on brand awareness, brand image, and perceived quality. Furthermore, brand awareness, brand image, and perceived quality are proven to positively and significantly influence brand loyalty. Brand equity, represented by brand awareness, brand image, and perceived quality, has shown the ability to mediate the relationship between SMMA and brand loyalty. Further research could delve into the impact of SMMA on customer equity and expand the study by incorporating additional variables related to brand loyalty. Companies may benefit from investing in marketing efforts utilizing social media platforms as effective marketing tools.

Blue Gold, Game-Based Learning to Encourage Sustainable Consumption: The Case of Mobile Phones

The concept of sustainability is different in industry and in nature. In the case of mobile phones, the constant replacement by new models increases waste to ecologically unbearable limits. To encourage responsible and sustainable consumption, we designed an educational game in a role-play format, called Blue Gold. The objective was to make known the use of cobalt in the production of mobile phones and the methods and people involved in its extraction. We present three characters that each participant could become during the game: a Congolese girl, a Congolese boy, or an American boy. Through socio-educational dynamics of experiential learning, 308 undergraduate students and 31 of their teachers participated in the game. We set out to investigate whether knowing the reality of child labor and violence against women happening in cobalt mines could have any impact on consumer behavior, if the effect of the game could delay the desire to purchase a mobile phone or refuse to buy a new one. The results obtained revealed the influence of the role assumed in the game and the gender of the participants. They also revealed that this online role-playing game is effective in encouraging a more sustainable consumption behavior.

The role of OLED devices in the development of smart cities

In the course of the last few years, interest in the development of smart cities and progress of smart buildings has increased significantly. This development has been significantly increased due to the development of new technologies, innovative functional materials, electronic components and other products. At the same time, it is imperative to use those products that contribute to the preservation of the environment, and above all to energy saving. Thus, new technologies are becoming increasingly attractive, such as the one based on OLED (Organic Light Emitting Diode) technology, which is used in the production of mobile phones, tablet computers, other devices, as well as light sources. Although this technology has been generally known for more than half a century, commercial application of OLED components was not possible due to insufficient efficiency of products based on it. However, the continuous improvement of characteristics and efficiency enabled their more significant application in the past few years. The aim of this work is to provide adequate information about the possibilities of applying some innovative technologies in the planning and development of smart cities. Especially, becoming more familiar with the basic properties and application possibilities of OLED devices can lead to the life quality improvements of city spaces users.

THE IMPACT OF BRAND, PRODUCT QUALITY, AND PRICE ON THE DECISION TO PURCHASE A SAMSUNG GALAXY S8 SMARTPHONE IN TUNJUNGAN PLAZA, SURABAYA CITY.

The current development of telecommunications is driven by consumer needs for more effective communication. From the middle class to the upper class, they want to have fast communication without being disturbed by the communication process. With this development, the telecommunications industry is increasingly competing to provide the best for market satisfaction, so that more and more mobile phone products are turning into smart phone products with different features and qualities. Such market competition conditions require a telecommunications company to create a more effective and efficient strategy to attract consumers. There are many considerations that consumers think about before purchasing goods/services. Some of them are considering the product to be purchased, by adjusting the desires, needs and benefits that will be obtained after purchasing the product, as well as the price that will be spent to get the product by adjusting purchasing ability. The problem in this research is whether there is an influence of brand, product quality and price variables on the decision to purchase the Samsung Galaxy S8 smartphone at Tunjungan Plaza, Surabaya City? The data used in this research is primary data obtained by distributing questionnaires to Samsung customers at Tunjungan Plaza Surabaya. In partial testing, the brand image variable (X1) has a significant influence on purchasing decisions (Y) with a calculated t of 3.646 which is greater than the t table of 1.98609, with a significance level smaller than 0.05. The product quality variable (X2) has a significant influence on purchasing decisions (Y) with a calculated t of 2.829 which is greater than the t table of 1.98609, with a significance level smaller than 0.05. and the price variable (X3) has a significant influence on purchasing decisions (Y) with a calculated t of 2.239 which is greater than a t table of 9.707 which is greater than a t table of 1.98609, with a significance level smaller than 0.05.

Mobile Film Festival Africa and Postcolonial Activism

This paper enters into a debate of how new and potentially more accessible technologies might affect freedom of expression for heretofore disenfranchised peoples and postcolonial social and political development. This essay examines short films produced on camera phones by amateur African filmmakers for one of the many existent mobile phone film festivals: Mobile Film Festival Africa held in 2021. Mobile Film Festival, an annual and international festival of short-length movies, was founded in 2005 based on the principle “1 Mobile, 1 Minute, 1 Film”. Because of the highly destructive mining in Africa required to obtain the minerals necessary for mobile phone production, because of the Western narratives of progress mobile phone sales build upon, and because of the fact that mobile phones are instruments of capitalism that largely feed big Western countries, mobile phones are themselves tools of neocolonialism and digital colonialism. Thus, a film festival that markets itself as a means of social progress but that relies upon mobile phones in Africa provides an interesting and quite complicated case study. Two of the award-winning films from this festival recognize in different ways the complicated relationship between mobile phones and postcolonial activism.

Study on Mechanical Behavior of Coconut Fiber Composite as an Alternative Material for Mobile Phone Housing

Mobile phone is one of the most widely used electronic products. Housing is part of a very important component of mobile phone. Mobile phone housing refers to the outer housing of the device that encompasses its internal components. Mobile phone housing materials have been widely developed, such as polyester, polyurethane, carbon fiber, wood and leather. This paper proposes to conduct tensile tests and fabrication of mobile phone housing to determine the mechanical characteristics of coconut fiber composites as an alternative material for mobile phone product. Finite element simulation of drop test is then conducted to determine the impact robustness of a product. The investigation of tensile characteristics was carried out using variations in fiber direction. Vacuum assisted resin infusion is used as a method for manufacturing mobile phone housing product. Finite element simulation of mobile phone housing with various drop test positions was also conducted and the impact behaviour of coconut fiber composite housing materials was also obtained. It was shown that coconut fiber can be used as an alternative material for mobile phone housing. The design of the mobile phone housing also needs to be considered at the corner position of the housing because this is the location where the maximum impact stress occurs.

Analysis of the Influence of Product Quality, Brand Image and Country of Origin on Purchase Decision of Xiaomi Mobile Phone Products

This study aims to determine how nation of origin, product quality, and brand image affect purchasing decisions. This study uses quantitative case study research techniques. Primary data were gathered for this study through questionnaires and incidental sampling methods. Multiple linear analysis utilizing the statistical product and service solutions (SPSS) 23 software was the data analysis method used in this investigation. The results of this study indicate that place of origin, product quality, and brand image all have a significant simultaneous and partial impact on buying decisions.

A novel method based on knowledge adoption model and non-kernel SVM for predicting the helpfulness of online reviews

In this paper, a novel method is proposed to predict online review helpfulness based on the knowledge adoption model (KAM) theory and non-kernel weighted quadratic surface support vector machine (WQSSVM). The KAM theory develops helpfulness-predicting features from two perspectives: the quality of online review content and the credibility of online review sources. Content quality is measured by calculating the percentage of domain words in a review, as well as the percentage of stop words. This method effectively addresses the issue of knowledge barriers existing in the online reviews in specific domains. Source credibility is measured by looking at the number of fans an author has, as well as the number of likes he has received. The WQSSVM significantly reduces the computational time in selecting a suitable kernel and related parameters. To investigate the performance of the proposed method, computational experiments were conducted on three crawled online review datasets of traditional Chinese medicine, takeouts, and mobile phone products. The numerical results not only indicate the superior capability of the proposed method in identifying the optimal combination of features and forecasting accuracy but also indicate the greater importance of source credibility over quality of content, for predicting the online review helpfulness.

Geopolitical risks of strategic decoupling and recoupling in the mobile phone production shift from China to Vietnam: Evidence from the Sino-US trade war and COVID-19 pandemic

Drawing upon the Global Production Networks (GPN) 2.0 theory, this paper offers an updated and novel investigation on the geopolitical dynamics and risks of strategic coupling in the mobile phone production shift from China to Vietnam, amidst the Sino-US trade war and COVID-19 pandemic. The study was conducted on the basis of the onsite investigation during 2016 and 2019, and follow-up online interviews during 2020 and early 2023 with concerned mobile phone transnational corporations (TNCs) engaging in production relocation from China’s coastal regions, e.g., the Pearl River Delta to Vietnam, particularly the Red River Delta (RRD). Despite the fashionable discourse of decoupling from China induced by the pandemic-caused supply chain disruption, this paper argues that both lead firms and supplier TNCs have increasingly engaged in the “China+1” strategy prevalent prior to the trade war and pandemic. What’s more, the mobile phone production network has been reconfigured by the heightened geopolitical tension and the pandemic-induced risks. Verified by the case studies of Samsung, Apple, Foxconn, and China-based lower-tier supplier firms, we explored why and how different tiers of TNCs in the mobile phone production networks have responded strategically to the geopolitical dynamics and risk environment. The development of the RRD into an emerging mobile phone cluster has been driven by a multi-level recoupling in the dynamic production networks. The findings advance the GPN literature by highlighting the geopolitical risks of strategic coupling in the production network reconfiguration in the changing global economy, a lacuna in the existing literature, which warrant further exploration in other regions and industries.

BAT (Baidu, Alibaba, Tencent) as a post-shanzhai phenomenon: An analysis from the perspective of antifragility and modularization

Shanzhai refers to the production of mobile phones that imitate popular brands, a practice that became widespread in China around a decade ago. This form of production is characterized by modularity: the division of products into small independent components that make it easier to update and replace parts without affecting the whole. In this article, we analyze modularization as a post-shanzhai phenomenon in China’s largest technology companies – Baidu, Alibaba and Tencent (BAT) – in order to compare them to their Western equivalents: Google, Apple, Facebook, Amazon and Microsoft (GAFAM). Instead of exoticizing Chinese technological development or undertaking another postcolonial reading, we use the concepts of ‘boundary objects’ and ‘antifragility’ to put the revolutionary values that endure in post-shanzhai China (and elsewhere) into perspective. In addition, we conclude that a fuller sociohistorical understanding of the ambivalences of shanzhai may encourage more self-critical understandings of Western technological and digital developments.

A Novel Deep Learning Method for Detecting Defects in Mobile Phone Screen Surface Based on Machine Vision

With the innovations in technology, the interest in the use of mobile devices is increasing day by day. Any defect that may occur during the production of smart mobile phones, which is among mobile devices, causes significant damage to both the manufacturer and the user. The careful detection of defects that may occur on the screen glass, which is one of the most striking defects among these defects, with the human eye significantly affects the workforce cost. Therefore, it is important to detect defects with the help of software. In recent years, many methods based on machine vision have been developed for the detection of any object or difference in the image.
 In this study, a new model structure called Yolo-MSD, based on machine vision and the Yolo-v3 deep learning model, which detects and classifies oil, scratch, and stain defect types on the glass on the touch screen surface used in the design of smart mobile phones, is proposed. The proposed model structure (Yolo-MSD) is obtained by reducing the number of blocks in the Darknet-53 network structure developed in Yolo-v3. As a result of the training, a success rate of 98.50% with the Yolo-v3 model and 98.72% with the Yolo-MSD model was achieved in detecting and classifying defect types. Therefore, it has been observed that the Yolo-MSD model structure is better than the Yolo-v3 model structure by making better feature extraction from the types of defects on the screen glass since it is both faster and has less complexity.

Synthesis of AgNPs from waste mobile phone circuit boards using an emulsion liquid membrane method

The disposal of mobile phone print circuit boards (WMPCBs) has now been a problem because of the continually increasing production of mobile phones. It could be considered a new source of precious metal but may jeopardize the environment and human health without proper management. An emulsion liquid membrane (ELM) method is applied and improved to recover silver from WMPCBs and prepare AgNPs. The effects of significant operating parameters were studied for a better understanding of the ELM process. Under the optimized conditions i.e., 0.25 % (v/v) Cyanex 302, 6 % (v/v) Span 80, 5 % (w/v) ASC, 3500 rpm emulsification speed, 10 min emulsification time, 300 rpm extraction stirring speed, 10 min extraction stirring time and 3 (v/v) phase ratio, 98.7 % silver was extracted. AgNPs produced were flower structures assembled by a group of individual nanosheets with a diameter of 800–1400 nm and a thickness of 10–14 nm. The purity was 98.7 % and the yield was 96.6 %. AgNPs of oblate spheroidal structure with a diameter of 30–50 nm could be synthesized by controlling the concentration of Span 80 in ELM. The current study intends to fulfill the gap by exploring the recovery of silver from WMPCBs by the ELM method.

Quality Improvement Strategies of Mobile Phone Product Based on Text and Sentiment Analysis

Quality Improvement Strategies of Mobile Phone Product Based on Text and Sentiment Analysis

Replacement Trend of New Mobile Products under Product Life Cycle Model

With the rapid development of science and technology, the Internet, a huge network connected by networks, has occupied most of our lives. The demand of mobile phones is getting higher than before because of the smart data era. However, the convenience of smart phones is apparently couple with rapid replacement of new types. Apple of the United States, Huawei of China and Samsung of South Korea are the three giants in the mobile phone industry appeal users all over the world. However, none of them will stay in the end users for more than a handful years since new versions are scheduled releasing every year. Based on the sales data from popular models of Apple, Huawei and Samsung in recent years and the product life cycle theory, the amount sold are compared and analyzed in this study from the aspects of self-replacement and brand replacement along with projection of the replacement trend of their new products. Finally, relevant suggestions are proposed for the breakthrough of new mobile phone products.

Experienced Product Quality and Brand Loyalty: Mediating Role of Customer Satisfaction

The quality experience for a product and service is essential for creating customer satisfaction and brand loyalty. This study aims to test the CEPQ scale for validity and reliability and to evaluate the relationship between experiential quality, customer satisfaction, and brand loyalty for academic and managerial purposes. Within the scope of the research conducted in Turkey, online data was collected from 530 mobile phones and 665 computer users over 18. The research findings provide evidence that the CEPQ scale is reliable and valid for mobile phone and computer product groups. When the analysis results are examined, it is seen that the product quality experienced in both the computer and mobile phone product groups positively affected customer satisfaction. Customer satisfaction in mobile phone and computer product categories positively affects brand loyalty and mediates the relationship between experienced product quality and brand loyalty. It is observed that the reliability dimension of the CEPQ scale affects customers' quality experience less than other quality dimensions.

ANALISA SENTIMEN REVIEW PRODUK HANDPHONE PADA SITUS AMAZON MENGGUNAKAN PENDEKATAN LEXICON BERDASARKAN SENTIWORDNET

Sentiment analysis is part of opinion mining, is the process of understanding, extracting and processing textual data automatically to obtain information. It is done to find out the attitude of a speaker or writer later to be classified into positive or negative sentiment groups. In this study, the determination of the word value in the document is determined using Lexicon Sentiwordnet as a benchmark for word value, the review document will go through several pre-processing stages including Delete URLs, Remove Punctuation, Casefolding, Delete Stopwords, POS Tagging, Sentence tokens, and tokens. word so that the review document data are structured. Furthermore, the Sentiwordnet Interpretation calculation is carried out to determine the value of a term or word in the document to determine whether the word is a positive or negative word based on its category in the POS Tagging process. Then do the calculation of the term score summation, calculate the value of the sentence, calculate the text score, and the results of the rating system that will generate a rating to determine the quality of a mobile phone product based on user reviews.