Smartphone Manufacturers Research Articles

Utilizing Apache Jena Fuseki for Ontology-Based Smartphone Knowledge Representation

Background: Smartphones are a fundamental require for everybody since smartphones can offer assistance someone's work through different highlights and certain innovation contained within the smartphone. Some people's need for information about smartphones makes people confused in choosing smartphone products because there are many smartphone brands available on the market, as a result, many people still buy smartphones that do not suit their needs and preferences. That is why ontology-based knowledge representation is becoming increasingly important in the field of smartphone technology to improve data organization, data retrieval, and interoperability. Objective: This research aims to develop a smartphone ontology using the Apache Jena Fuseki server which functions as a data collection tool and facilitates knowledge management about smartphones. Methods: This ontology was built using the methontology method, namely an ontology development method that is superior in providing a detailed description of each required activity. This smartphone ontology was developed using the Protégé 5.5.0 application which consists of 4 classes, 9 object properties, 15 data properties, and 92 individuals. Results: The research results show that the ontology built can help users search for smartphones that suit their criteria and needs. This research also succeeded in developing an android and semantic web-based application that allows users to search for smartphones more easily and efficiently, strengthening the benefits of the developed ontology in supporting smartphone purchasing decisions. Conclusion: The contribution of this research is to help customers, by providing recommendation the smartphone that best meets the requirements or best fits the given knowledge representation.

Unveiling brand loyalty in emerging markets: Analyzing smartphone user preferences: Robustness of structural equation modeling (SEM) and simultaneous equation modeling (SEMs)

This study aims to examine the determinants of brand loyalty in emerging markets, focusing on smartphone consumers in Bangladesh. The study focuses on identifying the key elements that contribute to brand loyalty and the extent of their impact on customers' commitment to their preferred smartphone manufacturers. A theoretical framework will be employed to establish the relationship between the independent and dependent variables. Data for the study was collected from 390 participants through a Google form explicitly designed for this purpose. In this study Simultaneous Regression Analysis has been used to synchronize the findings of the Structural Equation Models (SEM) and also is used to emphasize the robustness of the study. The data analysis used PSS to calculate the mean and standard deviation. Structural Equation Modeling (SEM), reliability, and convergent validity were accomplished using Amos. The findings indicate that consumer attitudes, service quality, public self-consciousness, and behavioural brand experience all significantly influence brand loyalty. Furthermore, brand trust plays a crucial and favourable mediating role between consumer perceptions, brand loyalty, and service excellence. The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning new factors affecting brand loyalty. The results of this research can be valuable for Bangladeshi smartphone companies as they gain insights into the factors affecting brand loyalty among consumers. The study discusses the limitations of its generalizability and provides practical implications for businesses and their market offerings.

Strategy Studies Tiered Value Chain By Samsung In The Era of Global Competition

In the era of globalization, the smartphone industry has become one of the most competitive and dynamic sectors in the world. This paper aims to examine the tiered value chain as a strategy undertaken by Samsung with its suppliers in global market competition. This research uses descriptive qualitative research methods through literature studies from various sources relevant to the case study discussed. The result of this research is that Samsung chose to produce its own smartphones due to several factors. First, Samsung smartphone products have complex specifications, making it difficult for suppliers to produce them independently. Second, Samsung's smartphone products are difficult to codify, which means they are difficult to document and communicate clearly to suppliers. Third, the capability or ability of suppliers to produce smartphones that comply with Samsung's standards is considered low. Thus, the hierarchy value chain strategy implemented by Samsung in its smartphone production value chain aims to maintain control over the production process and maintain the quality of the products produced, so that it can compete effectively in the global market

Optimizing Online Channels: Exploring the Interplay of E-Commerce in Customer Journey of Smartphone & Gadget Retail

The rise of e-commerce has transformed the global retail industry, including the smartphone and gadget sector. In Indonesia, while online shopping has become more popular due to its convenience, smartphone brands still face challenges. Despite the growth of online platforms, many customers prefer shopping in physical stores, especially after the pandemic. This research aims to understand what drives consumers to shop online for smartphones and gadgets, and to offer insights and strategies for both smartphone manufacturers and e-commerce platforms to boost their online presence and attract more customers. The study addresses key questions about consumer behavior: What motivates people to buy smartphones and gadgets online rather than in-store? How do they perceive their online shopping experience, and what factors affect their satisfaction? What obstacles do they face when shopping online, and how do they overcome them? How do they react to personalized marketing and recommendations? And what drives their loyalty and repeat purchases in the online market? By using the Customer Decision Journey, Marketing Technology, and Porter’s Five Forces analysis, the research identifies important factors like delivery, promotions, store information, and ease of finding product details. The study will provide actionable business solutions and recommendations to help smartphone manufacturers and e-commerce platforms tackle challenges and improve their online market strategies.

The Effect of Hedonic Value, and Utilitarian Value Toward Purchase Intention With Attitude as Mediation

Purchase intention is very important in knowing the behavioral intentions of consumers who are conscious in purchasing an item, especially iphone brand smartphone products. as for some studies that have mentioned the factors that influence a person's purchase intention, namely: Brand image, hedonic value and utilitarian value, attitude. The purpose of this study was to examine the effect of hedonic value and utilitarian value, attitude towards Purchase Intention. The sampling technique in this study used purposive sampling, the sample used was 50 respondents. The analytical tool used in this research is SEM PLS. The results of this study Hedonic value affects attitude, utilitarian value affects attitude, there is a significant effect of hedonic value and utilitarian value on purchase intention. Attitude is able to mediate the influence of hedonic value utilitarian value on purchase intention.

The Role of Satisfaction Customer Mediate Influence Perception Quality To Loyalty Customer

iPhone is one of the premium smartphones that Apple relies on to compete with various premium smartphone products from other brands. The iPhone has a competitive advantage in the form of a unique and exclusive physical design and an operating system that is different from other brands in order to maintain its existence in the market. This study aims to explain the role of customer satisfaction in mediating the influence of quality perception on customer loyalty in iPhone smartphone users in Denpasar City. This study used a sample of 100 respondents taken using the non-probability sampling method with purposive sampling techniques. The data in this study was collected using a questionnaire method which was distributed in the form of a google form link to respondents. The data that has been collected is then analyzed and tested using classical assumption tests, path analysis tests, and testing the role of mediating variables. The results of this study show that quality perception has a positive and significant effect on customer loyalty, quality perception has a positive and significant effect on customer satisfaction, customer satisfaction has a positive and significant effect on customer loyalty, and customer satisfaction is able to partially mediate the influence of quality perception on customer loyalty. The results of this study can provide suggestions for Apple companies to improve the perception of quality and customer satisfaction in iPhone users to increase customer loyalty.

The Influence of Perceived Quality, Perceived Value of Cost, Brand Identification, and Brand Trust on Brand Loyalty Mediated by Customer Satisfaction in Batam City

Due to technology steadily developing at a rapid pace, it gave rise to many new businesses one of which is smartphone products. This study aims to analyze the effect of perceived quality, perceived value of cost, brand identification, trust, and lifestyle congruence on brand loyalty mediated by customer satisfaction with using Samsung smartphones in Batam City. The sample size was 378 respondents using purposive sampling. Empirical data was obtained through the distribution of online questionnaires with Google Forms. Testing research data using Structural Equation Modeling, Smart PLS 3 software. The results confirm that variables perceived quality, perceived value of cost, brand identification, and brand trust have a significant positive effect on customer satisfaction. The perceived value of the cost value variable, brand identification, and customer satisfaction have a significant positive impact on the brand loyalty variable. In contrast of the perceived quality variable, brand trust has no significant effect on brand loyalty. The variables perceived quality, perceived cost value, brand identification, and brand trust have a significant positive impact on brand loyalty mediated by customer satisfaction. The purpose of this research is to contribute to literature and marketing strategies to be more efficient as a decision-making tool in companies.

Text Mining-Based Study on Consumer Satisfaction in the Mobile Phone Market

In the current context of rapid technological advancement, smartphones have become an indispensable part of people's daily lives. This has led to an increasing focus on the satisfaction of consumers with smartphone products, as understanding consumer emotions and satisfaction has become a key factor for manufacturers and retailers to enhance the quality of products and services. This study delves into the satisfaction of consumers with smartphones in the market through an in-depth application of text mining techniques, leveraging advanced technologies such as natural language processing, sentiment analysis, and topic modeling. Our research methodology encompasses the process of collecting and preprocessing a substantial volume of consumer reviews from online shopping platforms. Subsequently, we apply Latent Dirichlet Allocation (LDA) for topic modeling and Extreme Learning Machine (ELM) for sentiment analysis.

Analisis Pengaruh Kualitas Produk dan Harga terhadap Keputusan Pembelian Smartphone

This study aims to analyze the effect of product quality and price on the decision of smartphone purchase. A purchase decision is a process that consumers go through to choose and buy a product or service to meet their needs and desires. High product quality and good at affordable prices are the main factors that drive consumers to buy a product by considering the quality and price ratio in making decisions at the time of purchase. Consumer satisfaction in product quality is very important in maintaining the existence of a company or business unit makes an understanding of digital marketing, product quality and service quality cannot be seen low. The population in this study were smartphone consumers from among IAIN students Syekh Nurjati Cirebon, determining the number of samples by spreading questionnaires and sample 55 people obtained. The data collection techniques through this questionnaire have been carried out validity tests, rallies and classical assumptions. This research method uses multiple linear regression analysis. From the results of this study, the results were obtained that partially shows the quality of the product had a positive and significant effect on the purchase decision, then the price of a positive and significant effect on the purchase decision. While simultaneously or along with the quality of the product and the price affects the smartphone purchase decision. The study provides implications for smartphone manufacturers to improve product quality and offer competitive prices to increase the smartphone purchase decision by IAIN students Syekh Nurjati Cirebon.

Pengaruh Citra Merek, Kualitas Produk, Harga, dan Gaya Hidup Hedonisme terhadap Keputusan Pembelian

Developments in the smartphone industry are currently very fast and varied. A smartphone product is required to have a good perspective for consumers because it is not uncommon for the depiction of a particular brand to be related to a person's lifestyle, therefore companies must always innovate, maintain quality, and create good smartphone products so that the products offered sell well on the market and are in demand among people. lots of consumers. The target of this study is to examine the influence of brand image, product quality, price and hedonistic lifestyle on purchasing decisions. Data was collected from 162 respondents in the SoloRaya area who met certain criteria. The sampling technique used in this research is the purposive sampling method, then the data is processed using Multiple Linear Regression analysis tools with SPSS analysis software version 22. The results of the study show that 1) Brand image has a positive and significant influence on purchasing decisions. 2) Product quality has a positive and significant influence on purchasing decisions. 3) Price has a positive and significant influence on purchasing decisions. 4) The hedonistic lifestyle has a significant positive influence on purchasing decisions. Suggestions for company managers to always maintain high product quality and always innovate in design and features as well as launch effective marketing and pay attention to consumer needs and desires. So this has an impact on creating higher purchasing decisions for iPhone smartphones. Researchers who are interested in carrying out similar research titles are expected to add other variables, for example: Brand love, Brand equity, social factors, and Promotion.

Investigating the impact of customer innovation characteristics on resistance to innovation: Case study of smartphone adoption in Erbil, Iraq

This research explores consumer resistance to smartphone innovation in the Erbil/Iraq, uncovering several significant findings. The main goal of the study was to identify the consumer characteristics that influence this resistance and its implications. For smartphone manufacturers, marketers, representatives, and researchers, this study offers a comprehensive understanding of consumer behavior and resistance to technological progress. The results can guide targeted strategies to overcome barriers, improve product development, and increase market share. The study contributes to our understanding of innovation resistance in the unique context of the Erbil/Iraq, highlighting the importance of conducting thorough investigations in similar circumstances. In light of the findings of the demographic survey, a significant portion of respondents were young people, supporting the widely held belief that young individuals are more likely to adopt new technology. However, the study emphasizes that age is not the sole determinant of resistance to innovation. The diminished impact of income, marital status, and gender on resistance indicates a complex interplay of factors. Conversely, a higher level of education was associated with a greater likelihood of embracing smartphone innovation. The study delved into various aspects of innovation and revealed that self-efficacy, motivation, complexity, perceived risk, and expectations of a superior product all significantly influenced consumer resistance. Resistance showed a negative correlation with self-efficacy as a psychological trait, suggesting that individuals with higher levels of self-efficacy were less resistant to smartphone innovation. Conversely, higher levels of complexity, perceived risk, expectations of a better product, and motivation were linked to increased resistance, highlighting the crucial role of behavioral and psychological characteristics in shaping consumer attitudes towards innovation. Relative advantage did not appear to have a significant influence, while compatibility and attitudes towards current products were deemed insignificant predictors of resistance. These findings underscore the intricate nature of innovation resistance and demonstrate that socio-demographic traits alone are insufficient as predictors. Consumer resistance is largely shaped by psychological elements such as self-efficacy, motivation, expectations, complexity, and perceived risk.

Comparison of Smartphone Technology using AHP, ELECTRE, and PROMETHEE Methods

The progress of smartphone technology is now very rapid, supported by many renewable features, even many users are competing to get the latest products without regard to the costs that have been incurred. The problem that arises is that it is increasingly difficult to select technology-based products with many criteria. The purpose of writing this paper is to provide the best solution for selecting technology-based products with multi-criteria to suit user needs by taking into account the costs incurred effectively and the use of contradictory multi-criteria applications. The presence of technology products always has many criteria that make it more difficult for users to choose products as the right choice according to their needs, thus the right method is needed as a solution to obtain technology-based products such as smartphones. The Analytic Hierarchy Process (AHP) method is used for the evaluation and selection process. This AHP method will collaborate with the ELECTRE and PROMETHEE methods as a comparison solution for smartphone product selection. The resulting comparison will be an applied model for smartphone selection that produces the best decision-making support according to user needs. The results of the collaborative implementation process of the ELECTRE and PROMETHEE methods provide a decision on the rating system. The collaborative application of the AHP method to the ELECTRE and PROMETHEE methods provides optimal decision support for the selection process, so that this can be used as a comparison material in making decisions regarding the selection of smartphones as technology-based products.

Consumer Perception of Planned Obsolescence: A Research on Smartphone Owners

Purpose-This study aims to reveal the effects of planned obsolescence application types perceived by consumers on consumer satisfaction and subsequent consumer behavior. Design/methodology/approach –Research data were collected by online questionnaire method. The snowball sampling method was used in the research. Smart PLS structural equation modeling program was used to analyze the obtained data. The research model, created based on the literature research, was tested with structural equation modeling analysis. Findings-Structural equation modeling analysis results show that perceived technological obsolescence has a positive effect on satisfaction, while perceived psychological obsolescence has a negative effect on satisfaction. Perceived quality obsolescence did not have a significant effect on satisfaction. Satisfaction has a positive effect on repurchase intention and positive word of mouth. On the other hand, it was found that satisfaction had a negative effect on regret and negative word of mouthDiscussion-According to the research results, the significant effect of perceived technological obsolescence on satisfaction can be interpreted as consumers expecting technological innovation from smartphone manufacturers. The negative effect of perceived psychological obsolescence on satisfaction can be interpreted as supporting psychological obsolescence through advertising and marketing efforts, creating dissatisfaction in consumers. Therefore, businesses should be careful in advertising and marketing efforts to avoid consumer dissatisfaction. In this sense, it should not be forgotten that satisfaction will negative impact regret and negative word-of-mouth communication.

Pengaruh Brand Image, Brand Luxury , Harga, Dan Desain Produk Terhadap Minat Beli Samsung Z Flip 5 Di Kota Semarang

This research aims to determine the influence of brand image, luxury brand, price, and product design on buying interest in the Samsung Z Flip 5 in Semarang City. This research uses primary data and quantitative methods. Researchers conducted a pre-survey on 30 respondents by distributing questionnaires, then after that the researchers conducted a survey by distributing questionnaires via Google Form to 150 respondents and processing the data using SmartPLS. From the results of data processing, it was found that brand image had a significant influence, luxury brand had no significant influence, price had a significant influence, and design had no significant influence on interest in purchasing Samsung Z Flip 5 smartphone products in Semarang City. Keywords: Brand Image ; Brand Luxury ; Price ; Design ; Purchase Intention

Graph Bayesian Optimization for Multiplex Influence Maximization

Influence maximization (IM) is the problem of identifying a limited number of initial influential users within a social network to maximize the number of influenced users. However, previous research has mostly focused on individual information propagation, neglecting the simultaneous and interactive dissemination of multiple information items. In reality, when users encounter a piece of information, such as a smartphone product, they often associate it with related products in their minds, such as earphones or computers from the same brand. Additionally, information platforms frequently recommend related content to users, amplifying this cascading effect and leading to multiplex influence diffusion. This paper first formulates the Multiplex Influence Maximization (Multi-IM) problem using multiplex diffusion models with an information association mechanism. In this problem, the seed set is a combination of influential users and information. To effectively manage the combinatorial complexity, we propose Graph Bayesian Optimization for Multi-IM (GBIM). The multiplex diffusion process is thoroughly investigated using a highly effective global kernelized attention message-passing module. This module, in conjunction with Bayesian linear regression (BLR), produces a scalable surrogate model. A data acquisition module incorporating the exploration-exploitation trade-off is developed to optimize the seed set further. Extensive experiments on synthetic and real-world datasets have proven our proposed framework effective. The code is available at https://github.com/zirui-yuan/GBIM.

Do blue light filter applications improve sleep outcomes? A study of smartphone users’ sleep quality in an observational setting

ABSTRACT Exposure to blue light at bedtime, suppresses melatonin secretion, postponing the sleep onset and interrupting the sleep process. Some smartphone manufacturers have introduced night-mode functions, which have been claimed to aid in improving sleep quality. In this study, we evaluate the impact of blue light filter application on decreasing blue light emissions and improving sleep quality. Participants in this study recorded the pattern of using their mobile phones through a questionnaire. In order to evaluate sleep quality, we used a PSQI questionnaire. Blue light filters were used by 9.7% of respondents, 9.7% occasionally, and 80% never. The mean score of PSQI was more than 5 in 54.10% of the participants and less than 5 in 45.90%. ANOVA test was performed to assess the relationship between using blue light filter applications and sleep quality (p-value = 0.925). The findings of this study indicate a connection between the use of blue light filter apps and habitual sleep efficiency in the 31–40 age group. However, our results align only to some extent with prior research, as we did not observe sustained positive effects on all parameters of sleep quality from the long-term use of blue light filtering apps. Several studies have found that blue light exposure can suppress melatonin secretion, exacerbating sleep problems. Some studies have reported that physical blue light filters, such as lenses, can affect melatonin secretion and improve sleep quality. However, the impact of blue light filtering applications remains unclear and debatable.

ANALISIS PENGARUH HARGA, KUALITAS PRODUK DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN SMARTPHONE SAMSUNG

ANALISIS PENGARUH HARGA, KUALITAS PRODUK DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN SMARTPHONE SAMSUNG

The Influence of Prices and Advertising on Decisions Purchase Oppo Smartphones at Imelda Teluk Phones in South Nias

Android-based smartphones are a very effective and efficient digital technology communication tool that is really needed by the public in carrying out their mobility and activities in the digital economy. The Oppo smartphone is already widely known among the public. This research aims to analyze the influence of price and advertising on purchasing decisions for Oppo smartphone products at Imelda Mobile Telukdalam South Nias. This research is quantitative descriptive research using manual data obtained incidentally (accidental slice) and analyzed using validity test methods, reliability tests, classical assumption tests, multiple linear regression analysis, and hypothesis analysis. The results of the research show that price has no effect on purchasing decisions with a value of tcount<ttable or 0.978<1.980, while advertising has a positive and significant effect on purchasing decisions as indicated by a value of tcount>ttable or 2.173>1.980. Simultaneously price and advertising have a significant positive influence on purchasing decisions. with a value of Fcount> Ftable or 4.506> 3.07. Thus, many people make purchases of Oppo smartphone products.

Adopting of Smartphone Technologies Amongst Older Adults in Windhoek, Namibia

Recent technological advancements show that mobile phones are becoming an increasingly significant part of our daily lives. Older adults (OAs) [60+] constitute a key demographic for this study. This study aims to determine the features of smartphone technologies used by OAs in Windhoek and to analyse the possible factors that may influence their adoption as well as to assess OAs perceptions of smartphones. A quantitative research method was adopted. A structured questionnaire was used to collect data from 99 OAs in Windhoek through convenience sampling method. Data were analysed employing SPSS. The study revealed that OAs do not fully adopt smartphones. However, they believe that smartphones provide benefits such as giving entertainment and curbing loneliness. The findings suggest there is a relationship between the smart technology (ST) features and perceptions towards the adoption of STs by OAs in Windhoek. This study can educate smartphone manufacturers and developers about elements that should be considered when designing communication devices and applications for OAs.

4P Marketing Mix Strategy Samsung Galaxy Series A05 Smartphone Products

Technological developments and the push of the era of globalization are one of the main causes of transformation and development of sophisticated technology. Smartphones are one of the electronic products that humans need in their daily mobility, whose main function is as a communication tool and have various functional features such as sending messages, listening to music, browsing, taking photos or videos, and running software applications. Samsung is a brand that sells electronic products, one of which is smartphones. This research aims to review the 4P marketing mix strategy for the Samsung Galaxy Series A05 smartphone product. The research method used is descriptive qualitative with SWOC analysis. It can be concluded that the 4P marketing mix for the Samsung Galaxy Series A05 Smartphone product using the SWOC approach produces four alternative strategies, namely: SO; WO; SC; WC. Thus, the marketing mix for the Samsung Galaxy A05 seeks to position the Samsung Galaxy A05 as a competitive choice in the lower middle class by prioritizing a balance between feature performance and price. The Samsung company must maintain the quality of its products and brand image. Increasing innovative, varied, and consistent promotions. Then take advantage of affiliates and brand ambassadors who are known to potential consumers. Using a brand image that is already embedded in society, creates new trends to increase opportunities to compete. Then expand market share with the aim of attracting more consumers.