scholarly journals Exploring the Evolution of New Mobile Services

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Yong Chen ◽  
Juncheng Yao ◽  
Hai Jin ◽  
Chunjiang He ◽  
Hanhua Chen
Keyword(s):  
Mobile Communications ◽  
Large Scale ◽  
Service Providers ◽  
Evolutionary Game ◽  
Real Data ◽  
Mobile Internet ◽  
Internet Technology ◽  
Mobile Service ◽  
Communications Services ◽  
Real World Datasets

The emergence and widespread use of mobile Internet technology has led to many different kinds of new mobile communications services, such asWeChat. Users could have more choices when attempting to satisfy their communications needs. The ability to predict the way in which users will use new mobile communications services is extremely valuable to mobile communications service providers. In this work, we propose a method for predicting how a user will use a new mobile service. Our scheme is inspired by the evolutionary game theory. With large-scale real world datasets collected from mobile service providers, we first extract the benefit-related features for users who were starting to use a new mobile service. Then we design our training and prediction methods for predicting potential users. We evaluate our scheme using experiments with large-scale real data. The results show that our approach can predict users’ future behavior with satisfying accuracy.

scholarly journals Dynamic Plan Control: An Effective Tool to Manage Demand Considering Mobile Internet Network Congestion

2020 ◽  
Vol 11 (1) ◽  
pp. 91
Author(s):  
Xiaoyu Ma ◽  
Jihong Zhang ◽  
Yuan Cao ◽  
Zhou He ◽  
Jonas Nebel
Keyword(s):  
Programming Problem ◽  
Service Provider ◽  
Service Providers ◽  
Control Method ◽  
Network Capacity ◽  
Mobile Internet ◽  
Mixed Integer ◽  
Mobile Service ◽  
Data Traffic ◽  
Potential Customers

Rapidly increasing mobile data traffic have placed a significant burden on mobile Internet networks. Due to limited network capacity, a mobile network is congested when it handles too much data traffic simultaneously. In turn, some customers leave the network, which induces a revenue loss for the mobile service provider. To manage demand and maximize revenue, we propose a dynamic plan control method for the mobile service providers under connection-speed-restriction pricing. This method allows the mobile service provider to dynamically set the data plans’ availability for potential customers’ new subscriptions. With dynamic plan control, the service provider can adjust data network utilization and achieve high customer satisfaction and a low churn rate, which reflect high service supply chain performance. To find the optimal control policy, we transform the high-dimensional dynamic programming problem into an equivalent mixed integer linear programming problem. We find that dynamic plan control is an effective tool for managing demand and increasing revenue in the long term. Numerical evaluation with a large European mobile service provider further supports our conclusion. Furthermore, when network capacity or potential customers’ willingness to join the network changes, the dynamic plan control method generates robust revenue for the service provider.

scholarly journals Influencing Factors for the Acceptance of 3G Mobile Service in Kathmandu Valley

2018 ◽  
Vol 1 (2) ◽  
pp. 135
Author(s):  
Anij Taludhar
Keyword(s):  
Significant Influence ◽  
Service Providers ◽  
User Acceptance ◽  
Mobile Internet ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Kathmandu Valley ◽  
Mobile Service ◽  
Perceived Ease Of Use ◽  
Internet Service

<p>The mobile industry in recent years has been growing at a speedy pace where the use of cell phone is no longer limited to conventional usage like the voice communication, but has enriched the customer experiences with mobile internet services and other value added services. Along with the growing mobile industry, technology behind it is also changing accordingly. However, the user acceptance of technology depends on various factors that lead to either user acceptance or rejection. This study thus aims to identify the major determining factors that influence the user to use the 3G mobile internet and examines the interrelation among the determinants along with effect of the demographic variable limited to Kathmandu Valley users. The conceptual framework of this study is based on the extended version of Davis (1989)’s technology acceptance model using variables social influence, price perception, perceived usefulness, perceived ease of use, attitude to use and behavior intention. The primary survey is conducted using a set of questionnaire, which produced 180 valid responses from the mobile users in Kathmandu Valley. The reliability of the data from questionnaire is verified with factor analysis and Cronbach’s alpha. The result shows that social influence has significant influence on perceived ease of use while it has no significant influence on perceived usefulness. Price perception, on the other hand, influences the perceived usefulness. Similarly, perceived usefulness and perceived ease of use influence the attitude of use, which finally influences the behavioral intention. Along with this, social influence is also found to be the extended factors that can influence the attitude of the users, which in turn affects the behavioral intention. Demographic variables, however in this study, have shown no significant influence on the behavioral intentions. On the whole, the usage of 3G mobile internet service is not seen to be satisfying from the study. The major reasons as surveyed from the users themselves for this lower utilization seems to be higher data costs, presence of cheaper alternatives for internet like Wi-Fi internet, quick drainage of battery and slow mobile internet service provided by the mobile service providers. Thus, for mobile service providers, internet service providers are their direct competitors for 3G mobile internet services. This paper enhances understanding of user acceptance of 3G mobile internet services.</p><p>Journal of Business and Social Sciences Research, Vol. 1, No. 2, pp. 135-152</p>

Service Quality Dimensions and Customers' Satisfactions in Mobile Communications

2016 ◽  
Vol 4 (1) ◽  
pp. 38-45
Author(s):  
S. Sakthivel Rani ◽  
S. Kannan
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Mobile Communications ◽  
Global Economy ◽  
Service Providers ◽  
Relative Effect ◽  
Primary Data ◽  
Mobile Service ◽  
The World ◽  
Switching Barriers

Objective - The world is moving towards continuous and ubiquitous availability of information. Entry of private operators in 1990's, competition has caused prices to drop and calls across India are one of the cheapest in the world. Technological advances combined with forces of globalization resulted in the transformation of the economy, industries, markets and customers resulting in a connected knowledge economy, borderless global economy, globalizing, covering and consolidating industries, fragmenting and frictionless markets and active, connected, informed and demanding customers. The objective of this research is to ascertain the constructs like customer satisfaction towards the mobile phone service providers, switching barrier and the customer loyalty factors. Methodology/Technique - Respondents in the study are the customers who use mobile phones. Primary data were collected with the help of the specially designed questionnaire, which was administered to the mobile users. The final questionnaire was pre-tested on 40 respondents and the coefficient values are all above .8 thus meeting Nunnaly's recommendation of greater than 0.7 as the acceptable reliability level. The overall alpha value was 0.8 and the instrument consists of customer satisfaction regarding the mobile service providers, which includes factors like price (5 items, 0.816), network coverage (4 items, 0.795), customer service (5 items, 0.852) and usage (8 items, 0.884). Switching barriers factors consists of 28 items like credibility factors (8 items, 0.863), congruency factors (7 items, 0.816), switching cast (8 items, 0.871), and value (5 items, 0.900). Final part of the instrument includes 17 customer loyalty factors like trust (7 items, 0.858), commitment (4 items, 0.848), word of mouth (3 items, 0.779) and cooperation (3 items, 0.691). Findings - Gender, location of the customers and service providers has a significant association with level of customer satisfaction. Gender and occupation have a significant association with level of customer switching barriers. Hierarchical regression analysis was used to analyze the main effect and the adjustment effect of those switching barrier factors and the relative effect. The contribution is that this study reviews theoretically and verifies empirically the relationship and mechanism between the customer retention and the switching barrier. Type of Paper - Empirical Keywords: Customer satisfaction factors; switching barrier factors; Customer loyalty factors.

scholarly journals Price strategies of mobile operators in Russia in the conditions of the global economic recession

2020 ◽  
Vol 11 (2) ◽  
pp. 347-370
Author(s):  
Victor Dengov ◽  
Irina Tulyakova ◽  
Elena Gregova ◽  
Gleb Sviridov
Keyword(s):  
Multiple Regression ◽  
Mobile Communications ◽  
Regression Models ◽  
Service Providers ◽  
Value Added ◽  
Mobile Services ◽  
Multiple Regression Equation ◽  
Mobile Service ◽  
Negative Consequences ◽  
Price Strategies

Research background: Currently, the four major mobile communications providers dominate the Russian market. The oligopolistic structure leads to negative consequences, such as a weak stimulus for the product development or technological innovation, and the lack of incentive for the call-rate reduction. In their line of work, the mobile service providers use different price strategies. To comprehend what determines the current price level and what changes one should expect therein, we have to understand which factors influence the price of the mobile services. Purpose of the article: The chief goal of this work is the analysis of the influence of the crisis on the price strategies of the providers, as well as the forecasting of the changes of prices for their services. As the main hypothesis, this work presents the assumption that during the recession the price of the mobile services in the different regions of Russia will grow. Methods: The authors built regression models for the dependence of the average price of the mobile providers’ services in a particular region from the selected factors. In this work, we selected the following types of the multiple regression equation as the modeling functions: linear, power-law, exponential. Adding the time factor (t) is the key element of the forecasting. Findings & Value added: After gathering the data and the subsequent calculation of the medium price baskets, we were able to build different multiple regression models. To build the forecasts for the dynamics of prices in the regions for the year 2018 we selected the best regression models. The analysis of the acquired forecasting results generally proved our hypothesis about the growth of the average prices for the mobile communications services, expected in 2018 in the majority of regions. The analysis itself, the programs created for its implementation, as well as the results obtained, can, in our opinion, be considered as some contribution to the development of the theory of price competition in oligopolistic markets. The mobile services’ markets in many EU countries have a similar structure, and, with this in mind, the results of forecasting price dynamics obtained from Russian experience may be of interest to scholars dealing with similar problems in their respective countries, including the possibility of conducting comparative studies.

scholarly journals Semantic-guided autoencoder adversarial hashing for large-scale cross-modal retrieval

2022 ◽  
Author(s):  
Mingyong Li ◽  
Qiqi Li ◽  
Yan Ma ◽  
Degang Yang
Keyword(s):  
Large Scale ◽  
Research Work ◽  
Feature Learning ◽  
Data Retrieval ◽  
Mobile Internet ◽  
Multimedia Data ◽  
Internet Technology ◽  
Learning Ability ◽  
Smart Devices ◽  
Network Training

AbstractWith the vigorous development of mobile Internet technology and the popularization of smart devices, while the amount of multimedia data has exploded, its forms have become more and more diversified. People’s demand for information is no longer satisfied with single-modal data retrieval, and cross-modal retrieval has become a research hotspot in recent years. Due to the strong feature learning ability of deep learning, cross-modal deep hashing has been extensively studied. However, the similarity of different modalities is difficult to measure directly because of the different distribution and representation of cross-modal. Therefore, it is urgent to eliminate the modal gap and improve retrieval accuracy. Some previous research work has introduced GANs in cross-modal hashing to reduce semantic differences between different modalities. However, most of the existing GAN-based cross-modal hashing methods have some issues such as network training is unstable and gradient disappears, which affect the elimination of modal differences. To solve this issue, this paper proposed a novel Semantic-guided Autoencoder Adversarial Hashing method for cross-modal retrieval (SAAH). First of all, two kinds of adversarial autoencoder networks, under the guidance of semantic multi-labels, maximize the semantic relevance of instances and maintain the immutability of cross-modal. Secondly, under the supervision of semantics, the adversarial module guides the feature learning process and maintains the modality relations. In addition, to maintain the inter-modal correlation of all similar pairs, this paper use two types of loss functions to maintain the similarity. To verify the effectiveness of our proposed method, sufficient experiments were conducted on three widely used cross-modal datasets (MIRFLICKR, NUS-WIDE and MS COCO), and compared with several representatives advanced cross-modal retrieval methods, SAAH achieved leading retrieval performance.

scholarly journals Dynamic Price Competition between a Macrocell Operator and a Small Cell Operator: A Differential Game Model

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Julián Romero ◽  
Angel Sanchis-Cano ◽  
Luis Guijarro
Keyword(s):  
Differential Game ◽  
Mobile Communications ◽  
Service Provider ◽  
New Technologies ◽  
Service Providers ◽  
Evolutionary Game ◽  
Control Variable ◽  
Small Cell ◽  
Small Cells ◽  
Stackelberg Differential Game

An economic model was analyzed where a new supplier implements the technology of the small cells and positions itself as an incumbent service provider. This provider performs a dynamic reuse of resources to compete with the macrocells service provider. The model was analyzed using game theory as a two-stage game. In the first stage, the service providers play a Stackelberg differential game where the price is the control variable, the existing provider is the leader, and the new supplier is the follower. In the second stage, users’ behavior is modeled using an evolutionary game that allows predicting the population changes with variable conditions. This paper contributes to the implementation of new technologies in the market of mobile communications through analysis of competition between the new small cell service providers (SSPs) and the existing service providers along with the users’ behavior of mobile communications. The result shows that users get a better service, SSP profits are guaranteed, and SSP entry improves users’ welfare and social welfare.

scholarly journals An Intelligent Assessment System of Teaching Competency for Pre-service Teachers Based on AHP-BP Method

2021 ◽  
Vol 16 (16) ◽  
pp. 52
Author(s):  
Jiahua Zhang ◽  
Junjie Shi ◽  
Xu Liu ◽  
Yueliang Zhou
Keyword(s):  
Teacher Education ◽  
Large Scale ◽  
Action Plan ◽  
Back Propagation ◽  
Real Data ◽  
Assessment System ◽  
Internet Technology ◽  
Ministry Of Education ◽  
Analytic Hierarchy ◽  
Large Scale Assessment

The Education Informatization 2.0 Action Plan issued by the Chinese Ministry of Education calls for further improvement on teachers’ teaching competency in the era of "Internet+ Education", which also brings new requirement for the training of pre-service teachers who are enrolled in university teacher education courses. This study put forward three principles to construct a new framework to assess the teaching competency for university students majoring in teacher education. Developed on the basis of the Analytic Hierarchy Process (AHP) methods, the assessment system included six dimensions contributed by 21 indicators. This system is supported by Back Propagation (BP) neural network and data label technology to realize intelligent assessment of teaching competency. The trial results of real data samples showed that the system could meet the requirements of large-scale assessment for Pre-service students in higher education sectors. The assessment framework could well cover pre-service teachers’ qualification standards, facilitate the assessment of their teaching competency, and provide a clear guidance for effective trainings for the pre-service teachers to meet the requirement of future teaching supported by the Internet technology.

The Effect of Service Quality on Customers' Satisfaction in Mobile Phone Services in the UAE

2020 ◽  
Vol 8 (1) ◽  
pp. 75-94
Author(s):  
Emad Yusuf Masoud
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Mobile Phone ◽  
Service Providers ◽  
Mobile Service ◽  
Behavioural Difference ◽  
Mobile Industry ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Network Quality

This study aims to determine the dimensions of mobile service quality and to examine their effect on customer satisfaction in UAE mobile phone service providers while also investigating the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. A combination of the SERVPERF model has been adopted as the main framework for analyzing service quality. A structured questionnaire instrument was designed for data collection. The present study concentrates on the level of customers’ satisfaction for leading service providers in the UAE mobile industry. Etisalat and Du were chosen for this study. A sample of (452) mobile phone users in Abu Dhabi city was selected at random using convenience-sampling. We found a positive effect of both functional and technical service quality (network quality) on customers’ satisfaction. Functional and technical dimensions were good predictors of customer satisfaction and confirmed the multidimensional nature of service quality. Also, the service quality dimensions; reliability, assurances, and responsiveness are found to be significant predictors of customer satisfaction. Behavioural difference between mobile phone customers is also significant in predicting customer satisfaction for postpaid subscribers. However, only reliability and network quality are significant predictors of customer satisfaction for prepaid subscribers. The model developed in this study provides marketers and researchers with a diagnostic tool to assess service quality from the perspectives of customers to meet the customer’s expectations and ensure customer satisfaction.

scholarly journals Mapping the Sharing Economy in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6333
Author(s):  
Chan Liu ◽  
Raymond K. H. Chan ◽  
Maofu Wang ◽  
Zhe Yang
Keyword(s):  
Global Economy ◽  
Rapid Development ◽  
Sharing Economy ◽  
Essential Elements ◽  
Mobile Internet ◽  
Internet Technology ◽  
Short Term ◽  
Bona Fide ◽  
The Government ◽  
Idle Capacity

Harnessing the rapid development of mobile internet technology, the sharing economy has experienced unprecedented growth in the global economy, especially in China. Likely due to its increasing popularity, more and more businesses have adopted this label in China. There is a concern as to the essential meaning of the sharing economy. As it is difficult to have a universally accepted definition, we aim to map the sharing economy and demystify the use of it in China in this paper. We propose seven organizing essential elements of the sharing economy: access use rights instead of ownership, idle capacity, short term, peer-to-peer, Internet platforms mediated, for monetary profit, and shared value orientation. By satisfying all or only parts of these elements, we propose one typology of sharing economy, and to differentiate bona fide sharing economy from quasi- and pseudo-sharing economy. Finally, there are still many problems that need to be solved urgently in the real sharing economy from the perspective of the government, companies and individuals.

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