Mobile Phone Manufacturers Research Articles

Factors Influencing Consumer Purchase Intention and Adoption Onwards of 5G Mobile Phone in Malaysia

The use of 5G technology signifies a significant progression in mobile telecommunications, offering improved speed, connection and efficiency. The objective of this research is to determine the variables that impact customer purchase intention and subsequent adoption of 5G mobile phones, specifically from the viewpoint of popular shopping platforms in Malaysia. The theoretical framework can be found pursuant to the Technology Acceptance Model (TAM) and the Diffusion of Innovations (DOI) theory. Utilising quantitative surveys to collect extensive data from a varied sample of Malaysian customers who are Shopee subscribers. A total of 413 samples was successfully collected using convenience sampling of Malaysians in the Klang Valley. Findings suggest that factors such as perceived ease of use, subjective norm, and attitude serve a crucial role in determining purchase intention. The online purchasing of 5G mobile phones is greatly influenced by both intention and actual behaviour. The study emphasises the need of using targeted marketing tactics that specifically target these diverse characteristics. Online merchants and mobile phone manufacturers may greatly boost customer trust and adoption rates by improving user experience, offering comprehensive product information, and implementing strong security measures. The study offers vital information for competitors seeking to take advantage of the continuously growing 5G industry in Malaysia.

Application of silicon-based nanomaterials for improving the performance of battery

This research discussed the improvement of using silicon-based nanomaterial in batteries compared to graphite batteries because not only in electric vehicles, but also mobile phone users are requiring for longer battery life and faster charging speed and phones cannot increase into an unacceptable weight. This research first introduces how lithium-ion batteries work and analyses the failure of lithium metallic battery: high cost and low security because of dendrites growth. Secondly, this paper discussed how mobile phone manufacturers improved their batteries by using silicon: Honors silicon carbon battery and Xiaomis silicon-oxygen anode battery. Both have increased the energy density and charging speed and lighter the weight at the same time. In general, silicon can improve battery performance through its high capacity for lithium-ion, and silicon can easily be found in a natural environment which will lead to lower manufacturing costs. As a result, this research can provide a new design approach for the structural design and application performance of nanomaterials in the field of battery applications.

Analysis of Gradient Boosting, XGBoost, and CatBoost on Mobile Phone Classification

In the ever-evolving landscape of mobile phone technology, accurately classifying device specifications is paramount for market analysis and consumer decision-making. This research conducts a comprehensive analysis of mobile phone specification classification using three prominent machine learning algorithms: Gradient Boosting, XGBoost, and CatBoost. Through meticulous dataset acquisition and preprocessing steps, including resolution normalization and price categorization, features essential for classification analysis were standardized. Robust cross-validation techniques were employed to assess model performance effectively. The study demonstrates the significant impact of normalization techniques on improving model performance across all algorithms and fold variations. CatBoost consistently emerges as the top-performing algorithm, followed closely by XGBoost, with Gradient Boosting displaying respectable performance. Notably, CatBoost consistently achieves the highest AUC values and accuracy scores, demonstrating superior performance in accurately classifying mobile phone specifications. These findings underscore the importance of preprocessing methods and algorithm selection in achieving optimal classification results. For mobile phone manufacturers, leveraging machine learning algorithms for effective classification can inform product development strategies, optimizing offerings based on consumer preferences. Similarly, for data analysts, employing appropriate preprocessing techniques and algorithmic approaches can lead to more accurate predictions and informed decision-making. Future research avenues include exploring advanced preprocessing methods, investigating alternative algorithms, and incorporating additional features or datasets to enrich the classification process. Overall, this research contributes to understanding mobile phone specification classification through machine learning methodologies, offering actionable insights for industry practitioners and researchers to address evolving market dynamics and consumer preferences.

Research on the Preference of Mobile Phone Photography in Leisure Life

The way of communication and thinking are reconstructed by mobile phone photography. Due to the advancement of technology and economy, mobile phone chips have become advanced and the quality of photography has improved. In addition to the communication function, the camera function of smartphones is more valued by consumers and mobile phone manufacturers. Apps with built-in cameras, photo editing and social websites are constantly being upgraded., and mobile phone photography and social media has been combined. The influence and interaction of digital images in social leisure makes mobile phone photography play an important role in people's communication on social websites. This research mainly analyzed the preferences of mobile phone photography in leisure, and the Evaluation Grid Method (EGM) of Miryoku Engineering was applied to extract the attractive attributes of mobile phone photography. William DuMouchel continuous Kano model was applied to summarize the evaluation factors of young users on the quality of mobile phone photography. SPSS.17 statistical software was applied for reliability analysis, and IPA satisfaction was applied as the weighted factor evaluation. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied to evaluate preference factors. The purpose of this research is to analyze the preferences of mobile phone photography in leisure life through these research methods, and also to provide a reference for the future promotion of mobile phone photography.

The influence of country-of-origin on consumers' purchase intention: a study of the Chinese smartphone market

PurposeDue to the intense rivalry in the smartphone market, manufacturers of mobile phones are becoming increasingly interested in knowing the factors that influence consumers' purchase intention. This paper aims to examine the effect of country-of-origin image, brand image and attitude towards the brand on the purchase intention of smartphone users.Design/methodology/approachAn empirical study was performed based on the information gathered from smartphone users. The structural equation modeling (SEM) technique was applied to examine the hypotheses.FindingsThe authors found that brand image and attitude towards the brand significantly influence consumer purchase intention. Additionally, there is an indirect effect even when the nation of origin image does not directly influence the consumer's purchase intention. Indeed, brand image and attitude towards the brand act as a mediator between the country-of-origin image and purchase intention.Originality/valueThis study presents a conceptual model on the impact of country-of-origin image on the propensity of consumers to buy smartphones in a field where little research has been done. The investigation offers a consumer-focused analysis regarding the country-of-origin image. This suggests a significant shift from the current strategy, which is frequently centered on the viewpoint of the companies.

Mobile Phone Price Range Prediction Based on Machine Learning Algorithms

Mobile phones with different price points on the market have different parameter configurations, which provide a lot of information related to the price. Mobile phone prices are also the focus of attention of the mobile phone market, manufacturers and consumers. This study used machine learning technology to investigate the issues in mobile phone sales, mainly the prediction of mobile phone price range and the feature contribution of the price range. The data resource includes the release price of mobile phones in the European market from 2018 to 2021. The data augmentation technologies are also applied in this study. Among the three established machine learning models, the accuracy rate of the training set of the Catboost model exceeds 80%, which is the model with the highest accuracy rate. The accuracy rate of Bagging Classifier is slightly lower than that of CatBoost, but the prediction result is the most stable. Such a result conforms to the characteristics of the algorithm itself. The conclusion of the analysis of feature contribution of numerical data to accuracy rate is that rear camera pixels, number of cameras and screen size have negligible impact on model prediction accuracy, which means feature contribution is minimal. The research results are reasonable and can provide references for merchants to set prices and for users to purchase mobile phones.

Inter-industry and intra-industry switching as sources of productivity growth: structural change of Finland’s ICT industries

Structural change is an important driver of productivity growth at the aggregate level. While previous productivity decompositions account for the contributions of market entry and exit, they overlook continuing firms that switch from one industry to another. We develop an improved productivity decomposition that accounts for both intra-industry and inter-industry switching, is applicable to both static and inter-temporal settings, and ensures consistent aggregation of firm-level productivity to the industry level. The proposed decomposition is applied to Finland’s information and communication technology (ICT) industry in the first two decades of the 21st century. This industry experienced major structural changes due to the rapid downfall of Nokia, the world’s largest mobile phone manufacturer at the beginning of our study period. Our results reveal that the sharp decline of labor productivity was associated with structural changes, whereas the surviving firms that continued in the same industry managed to improve their productivity. Our results indicate that industry switching can dampen or enhance the productivity impacts of structural change, especially during times of crisis and recession.

The association between mobile phone use and neuromusculoskeletal complaints.

Mobile phones have become an essential component in our life. There are many concerns about the effects of prolonged mobile phone use on the upper extremity. This research aims to investigate the effects of prolonged mobile phone use on the neuromusculoskeletal system of the upper extremity in young adults in Jordan. A total of 228 subjects (age = 20.7±1.27 years) participated in this study. A structured questionnaire was used to collect data on sociodemographic variables, mobile phone size, hand/finger used for typing, duration of use daily, and the presence of musculoskeletal pain/syndromes and their location. Statistically significant relations (p < 0.05) were found between the prolonged use of mobile phones and self-reported pain in neck/upper back, hands, and symptoms of cubital syndrome; between smaller hand-to-phone ratio and pain in neck/upper back and shoulders with the higher frequency of pain in females. Females and subjects with a smaller hand-to-phone ratio tend to use two hands (p < 0.05). The results show an association between mobile phone use and self-reported pain. This study provides guidance for mobile phone manufacturers and regulatory agencies on the potential effects, the need for awareness programs that alert to musculoskeletal complaints, choosing the appropriate mobile phone, and changing using habits. Further investigations on a larger sample with quantitative measures on the kinematics and muscular activities are necessary to generalize and better interpret the results.

P‐76: Development on the Improvement of Low Temperature Folding Performance of AMOLED Modules

Since 2019, more than 20 foldable products have been released, and the categories released increased year by year. It can be seen that foldable products are increasingly favored by consumers and mobile phone manufacturers due to their advantages in expandable display size. It is expected that there will be explosive growth in the future. However, there are still some technical challenges for foldable product, such as waviness, poor impact/press resistance, and low temperature folding failure. This paper focuses on the research on improving the low temperature folding reliability of AMOLED modules. The difficulties of folding, the main failures and improvement methods, and the analysis of bending force in low temperature are introduced. Finally, the reliability for 50k times at ‐30℃ of out‐folding R 5mm, in‐folding U form R 1.5mm, in‐folding water drop form R 2mm are achieved.

Learning mechanisms and technological innovation performance: a study of China’s mobile phone manufacturing firms

ABSTRACT This article analyses the relationship between learning mechanisms and technological innovation performance in less developed countries’ (LDCs) firms participating in global value chains (GVCs). For this purpose, patent production functions of China’s mobile phone manufactures were estimated using an original dataset. In estimating the functions, we analysed how firms’ learning mechanisms through global suppliers, customers in China and other LDCs, and research institutes correlate with the number of patent applications. The main findings are: along with firms’ in-house R&D efforts, learnings from LDC customers and research institutions positively correlate with the amount of innovation, even in firms with less absorptive capacity. There is no positive correlation between learning from global suppliers and patent applications, although positive correlation may emerge as local firms accumulate sufficient absorptive capacity. The results highlight the importance of learning via broadly defined local innovation systems in enhancing technological innovation in LDC firms participating in GVCs.

Generalized non-renewing replacement warranty policy and an age-based post-warranty maintenance strategy

Nowadays, to protect the interests of customers, quite a few warranted products are sold with some kinds of repair thresholds. For example, a mobile phone manufacturer may provide a replacement service if the phone sold still cannot work after several repair attempts or the cumulative repair time reaches 7 days or 1 month. Motivated by this observation, we study a non-renewing replacement warranty policy with a repair number threshold and a repair time threshold, in which the manufacturer has responsibility for replacing a product when the number of failures is beyond the repair number threshold or the cumulative repair time reaches the repair time threshold, whichever occurs first. In addition, an age-based post-warranty maintenance strategy is developed for the non-renewing replacement warranted product, which provides a lower cost rate than the existing ones. Based on the indicator function method and renewal process theory, we derive the product’s life cycle cost rate. Finally, considerable numerical experiments are carried out to show the influences of various parameters on the proposed maintenance strategy.

Marketing Status and Analysis of Different Mobile Phone Brands – Take Xiaomi Phones for Example

With the continuous development of the information age, the audience of mobile Internet is getting wider and wider. From the arrival of 4G in 2011 to the further convenience of 5G mobile phones to consumers in 2022, all kinds of phenomena indicate that Chinese smartphones have a huge consumer market. At present, as the world's largest mobile phone consumer market, it is particularly important for various mobile phone manufacturers to study the analysis of factors affecting consumers' purchase of mobile phones. Based on this, this paper analyzes the marketing status of domestic mobile phone manufacturer Xiaomi as an example and combines the 4P marketing theory to better promote the sustainable and benign development of Xiaomi and other mobile phone brands.

Structural change in the ICT sector: Where have former Nokia employees ended up?

This study empirically examines the reemployment of employees displaced from a high-tech firm. Since 2008, the plummeting market share of Nokia, the world’s largest mobile phone manufacturer at the time, has resulted in massive layoffs and the downsizing of its workforce. We analyze the labor market status of more than twenty thousand former Nokia employees in Finland who left the company during 2009-2014. Using a unique matched employee-employer dataset, we identify the key factors associated with the probability of reemployment. Our findings show that the majority of former Nokia employees were successful in becoming reemployed. According to the latest available data from 2017, more than three-quarters of these employees found new jobs. The remaining share includes people who retired or returned to study. Reemployment was often found in the service sector. Employees with higher education levels and those who had held senior positions at Nokia were more successful in finding new jobs than others. Some regional differences in reemployment were also found.

The Rising and Fall of Mobile Phone Enterprises: Patent-Based Competitive Advantage Analysis

The mobile phone has been one of the most critical technological innovations in the last three decades. However, the pioneer and legendary mobile phone grants no longer hold their competitive advantage. Nowadays, many major mobile phone manufacturers are just newcomers of the past ten or fifteen years. The development of the mobile phone industry is a massive example of revealing the sustainability of competitive advantage and exploring the role of the patented invention in the competitive position of technology products. The current study analyses the rise and fall of mobile phone companies from the perspective of patent analysis. We summarize the key market shareholders of mobile phones between 1990 and 2019 and search the patent database to obtain the number of patented inventions of these mobile phone companies. The study analyses the yearly trend of patented inventions in different technology fields. By correspondence analysis, the study figures out the technological competitive advantage of these mobile phone companies in different periods. We aim to explore the rise and fall of mobile phone companies from the perspective of patented innovation and to realize the role of technology advantage as the roots of competitiveness in the mobile phone industry.

From Imports to Exports—An Achievement of Mobile Phone Industry (Policy)

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Pakistan has performed in local hand set manufacturing and has gradually become exporter of mobile phones. Being a new product for exports, no specific export targets were set before but the “domestic increase in production of handsets” and “initiating export successfully” is encouraging. The local mobile phone manufacturing industry is expected to promote Pakistan’s in-house handset manufacturing, exports, the digital economy through providing mobile services particularly in the form of mobile broadband and hence; enhancing digital connectivity, ecosystem &amp; innovation.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;

The Marketing Strategy of Samsung: Analysis Based on Consumer Behavior

Samsung is the second-largest mobile phone manufacturer in the world, and it has been a hot commodity in the global telecommunications market, with both GSM and CDMA having a high market share.Samsung's understanding of customer psychology and behavior, as well as its ability to manage emergencies quickly and effectively, provide it a competitive advantage in the market. Based on a study of Samsung's customers' buying patterns (emotion and cognition, advertising, brand perception, perceived pricing, and consumer decision) and the company's own products (product characteristics, design, style, and quality), we can see that, a high level of pricing may be appropriate for the market even though Samsung is already one of the well-known brands of smartphones and consistently produces high-quality smartphones., more research is still required, but following the discovery of COVID-19, Samsung changed its marketing strategy to concentrate on the online market, and Samsung's quick response to the outbreak minimized the damage.This article can offer some implications to corporate managers, consumers, and policy makers.

Recency effect and self-regulating design of mobile cellular systems in the context of interlaced generations: network bandwidth, power efficiency, and connection reliability

The mobile cellular system is undergoing a generation-interlaced evolution from 2G/3G/4G to 5G, with various signals and protocols coexisting for a long period. A crucial but challenging problem that emerges is how to ensure high performance (fast transmission), high energy efficiency (low power consumption), and high reliability (stable connection) for the services in a large, heterogeneous, and highly dynamic cellular environment. This problem simultaneously involves mobile phone manufacturers, network service providers, and OS/application developers. In this paper, we comprehensively review the representative related works in recent years, and learn that a series of performance anomalies in cellular systems is in fact attributed to the “recency effect" at the core mechanisms. Upon selecting which mobile network to use, there exist generation biases and unconscious performance-first tendencies affected by public opinions and commercial promotions. The biases and tendencies lead to knock-on effects like the “loss-making migration" towards 5G, the “saturated hunger" of network capacity, and the “ping-pong jumping" among base station connections. To overcome the above shortcomings, we propose self-regulating techniques based on 4G/5G dual-connectivity and Time-Inhomogenous Markov Process, which reduce the failure rate of 5G devices by 40% and the average failure duration of all devices by 36%. We also discuss other insights and innovations based on large-scale industrial practice.

Analysis of Recommended Mobile Selection Using the Weighted Product Method

Mobile is an electronic telecommunications device that has become a major requirement at this time, which is equipped with the advantages of the features of each device. The number of outputs or new breakthroughs from mobile phone manufacturers makes consumers have to be observant in choosing the right cellphone to use in their activities. Ignorance of the advantages and disadvantages of selected mobile phones can cause harm to consumers who use them based on their respective levels of interest. In this study, an analysis of the calculation of several alternative cell phone data will be carried out based on the criteria/attributes determined using the weighted product method which can solve the problem by multiplying to connect the attribute rating with the weighted attribute in question. It is hoped that this calculation analysis concept can become the foundation of knowledge about the weighted product method, especially in terms of selecting recommendation cellphones, as well as a basic sketch for developing the implementation of the weighted product method into future decision support system application programs.

The influence of product, price, promotion, and place on the purchase decision of Xiaomi smartphones in STIE Muhammadiyah Jakarta students

Along with the development of hardware technology such as mobile phones. The most consumptive market for mobile phone marketing is the Asian market, especially in Indonesia. More and more mobile phone manufacturers are popping up, this provides many choices for consumers. This research was conducted on campus 2 (Minangkabau) STIE Muhammadiyah Jakarta Jl. Minangkabau Raya No. 60 - South Jakarta. The time of this research was carried out in July 2020. The research design used in this study is causality research involve 100 respondents. the results of the T Test (Partial) it is known that the independent variable price (X2), Promotion (X3) partially has a significant influence on purchasing decisions, while the product variable (X1), place (X4) partially has no significant effect on purchase decision. From the results of the Partial Test (T test) it is known that from the four marketing mix the most dominant on purchasing decisions is the price variable (X2). Understanding marketing for companies is very important to realize the needs and desires of customers, determine the target market offered. Thus, marketing insights are also very beneficial for companies to provide the right products, services, and programs to serve the market to optimize sales.

Factors Influencing User-Idea Selection in Open Innovation Communities

ABSTRACT It is becoming an important innovation strategy for firms to gather the user-idea extensively through open innovation communities (OICs). However, screening out valuable ideas from massive user ideas in an OIC is a huge challenge for the firm. It is very important to identify the relevant factors that influence user-idea selection. Drawing upon persuasion theory, we develop a conceptual model integrating idea quality characteristics, idea contributor characteristics, and idea emotion characteristics to explain the likelihood of idea selection, using 23,165 user ideas in the MIUI Community hosted by Xiaomi, a Chinese mobile phone manufacturer ranked among the Fortune Global 500. The empirical results show that these characteristics variables have significant impacts on user-idea selection. Specifically, the length of the idea and title has an inverted U-shaped relationship with idea selection. The emotions contained in user ideas have a significant positive impact on idea selection, and user attention negatively moderates the relationship between emotion and idea selection. This study contributes to the user co-creation literature by offering a persuasion perspective to explain user-idea selection in OICs. It also offers novel insights for building reasonable rules in OICs to guide user behavior for managers.