scholarly journals Filipino Millennials Motivational Behavior Toward Mobile Service Providers and Its Brand Advertising

2021 ◽  
Vol 2 (4) ◽  
pp. 32-56
Author(s):  
Gino Antonio Rivera III
Keyword(s):  
Service Providers ◽  
Mobile Service ◽  
Brand Advertising ◽  
Motivational Behavior

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 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>

scholarly journals Analysis of Mobile Service Providers Performance Using Naive Bayes Data Mining Technique

2018 ◽  
Vol 8 (6) ◽  
pp. 5153
Author(s):  
M. A. Burhanuddin ◽  
Ronizam Ismail ◽  
Nurul Izzaimah ◽  
Ali Abdul-Jabbar Mohammed ◽  
Norzaimah Zainol
Keyword(s):  
Data Mining ◽  
Data Science ◽  
Service Providers ◽  
Telecommunication Service ◽  
Mobile Service ◽  
Business Growth ◽  
Data Mining Technique ◽  
R Language ◽  
Mining Technique ◽  
Industry Standard

Recently, the mobile service providers have been growing rapidly in Malaysia. In this paper, we propose analytical method to find best telecommunication provider by visualizing their performance among telecommunication service providers in Malaysia, i.e. TM Berhad, Celcom, Maxis, U-Mobile, etc. This paperuses data mining technique to evaluate the performanceof telecommunication service providers using their customers feedback from Twitter Inc. It demonstrates on how the system could process and then interpret the big data into a simple graph or visualization format. In addition, build a computerized tool and recommend data analytic model based on the collected result. From prepping the data for pre-processing until conducting analysis, this project is focusing on the process of data science itself where Cross Industry Standard Process for Data Mining (CRISP-DM) methodology will be used as a reference. The analysis was developed by using R language and R Studio packages. From the result, it shows that Telco 4 is the best as it received highest positive scores from the tweet data. In contrast, Telco 3 should improve their performance as having less positive feedback from their customers via tweet data. This project bring insights of how the telecommunication industries can analyze tweet data from their customers. Malaysia telecommunication industry will get the benefit by improving their customer satisfaction and business growth. Besides, it will give the awareness to the telecommunication user of updated review from other users.

Determinants of Customers’ Brand Choice and Continuance Intentions with Mobile Data Service Provider: The Role of Past Experience

2018 ◽  
Vol 19 (6) ◽  
pp. 1478-1493 ◽  
Author(s):  
Obinna C. Ojiaku ◽  
Aihie Osarenkhoe
Keyword(s):  
Service Quality ◽  
Service Providers ◽  
Brand Image ◽  
Brand Choice ◽  
Past Experience ◽  
Mobile Service ◽  
Data Service ◽  
Mobile Data ◽  
Mobile Data Service ◽  
The Impact

The prevalence of mobile data services has intensified competition and structured the market for mobile telecommunication services, resulting in decreased revenue particularly from voices services and high churn rate. Mobile service providers therefore seek ways to increase revenue by attracting and retaining mobile data users. This study investigates the determinants of customers’ brand choice and continuance intentions with mobile service providers in the context of mobile data service. This study also captures the impact of past experience on behavioural outcomes. Data were collected from 304 customers of mobile data service firms and analysed using regression analyses. Results indicate that mobile service quality, pricing structure and promotion, but not brand image, affect brand choice, whereas continuance intentions are affected by the mobile service quality, brand image and price. Customers’ past experience relates significantly and negatively to brand choice but not continuance intention. The contribution and implication of the study are discussed.

The role of customer experience touchpoints in driving loyalty intentions in services

2018 ◽  
Vol 30 (5) ◽  
pp. 444-457 ◽  
Author(s):  
Marco Ieva ◽  
Cristina Ziliani
Keyword(s):  
Customer Loyalty ◽  
Service Sector ◽  
Service Providers ◽  
Management Strategies ◽  
Customer Experience ◽  
Ordinary Least Squares ◽  
Mobile Service ◽  
Least Squares Regression ◽  
Content Type ◽  
Loyalty Intentions

Purpose The explosion in the number of touchpoints is putting pressure on companies to design omnichannel customer experiences aimed at achieving long-term customer loyalty. The purpose of this paper is to examine the relative importance of 24 touchpoints in contributing to customer loyalty intentions. Design/methodology/approach Data were collected by means of a survey on almost 6,000 subjects belonging to the Nielsen consumer panel. Two ordinary least squares regression models with clustered standard errors estimate the relationship between touchpoint exposure – measured in terms of reach, frequency and positivity – and customer loyalty intentions in the mobile service sector. Findings Reach has a significant relationship with customer loyalty intentions as far as eight touchpoints are concerned. Positivity, when controlling for frequency of exposure, is related to customer loyalty intentions as far as nine touchpoints are concerned. Practical implications Results provide guidance for mobile service providers on customer experience management strategies and specifically on touchpoint prioritization, adaptation, monitoring and design. Originality/value This study addresses two relevant research gaps. First, most studies focus on single or a few touchpoints without considering the variety of touchpoints within the customer journey (Lemon and Verhoef, 2016). Second, no studies focus on the relative contribution of touchpoints to customer loyalty intentions (Homburg et al., 2017).

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.

Multimedia Messaging Peer

2011 ◽  
pp. 203-230
Author(s):  
Kin Choong Yow ◽  
Nitin Mittal
Keyword(s):  
Mobile Devices ◽  
Service Providers ◽  
Peer To Peer ◽  
Shopping Mall ◽  
Personal Digital Assistants ◽  
Mobile Service ◽  
Wireless Technologies ◽  
Application Programming ◽  
Reference Implementation ◽  
Programming Interfaces

The evolution in mobile messaging and mobile devices has made it possible to provide multimedia rich messaging capabilities to personal digital assistants (PDAs). The need for this arises simply because mobile service providers want to provide an enhanced messaging experience to the user. It also opens up new avenues for business, such as a shopping mall scenario. This chapter discusses the development of a multimedia messaging client for a PDA and a kiosk providing multimedia messages composition, search, share, and sending capabilities. This chapter also discusses the various messaging technologies, enabling wireless technologies, and the peer-to-peer model. The peer-to-peer technology used was Jxta, an XML-based and language agnostic peer-to-peer platform specification from Sun Microsystems. The peers (PDA client and the kiosk) were implemented using the application programming interfaces provided by the Personal Java reference implementation and the Jxta platform’s Personal Java port.

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