Popular Service Providers Research Articles

FIXEL: TOPSIS-Driven Mobile Application for Roadside Assistance Provider Decision Making

Many drivers have faced the struggle of getting help when their vehicle breaks down on the road. This difficult situation is extremely stressful because there are limitations to seeking help, such as the service provider being too far away or the service provider's contact number being unavailable. The complication of deciding to choose a service provider is also occurring because of the eagerness to fulfil different kinds of aspects, such as the lowest price of the services and the shortest distance from the service provider. From the service provider’s perspective, it has become a challenge to get new customers when they are unfamiliar with their surroundings. Usually, the drivers will choose the most popular service provider, which may be far away from them. These issues sparked the motivation for this study, which aims to assist drivers and service providers through the mobile platform. One of the multi-criteria decision-making methods was employed to enhance the quality of choosing the right service provider based on the criteria involved, which are service availability, prices, distances and ratings. The result of this study would benefit drivers and service providers by improving decision-making, enhancing the customer experience, optimizing resource utilization and reducing cost.

Inferring the purposes of passenger trips from GPS records

A technological revolution has emerged in the context of mobility surveys with the widescale usability of wearable and onboard global positioning system (GPS) devices. Sri Lanka is also at the edge of utilizing these, in replacing the traditional methods. The earnestness' for this transition is supported by the deficiencies such as higher cost, higher nonresponses rates, over and under-reporting, and small sample sizes of traditional surveys. The activity that a passenger performs after a trip, or the purpose of a trip is a vital concern in transportation research as it is the reason behind the generation of travel demands. Hence, trip purpose inference from GPS data has become an important study area in this context [1]. Gong et al. [2] reviewing the existing trip purpose inference studies categorized the methodologies that had been used into three as rule-based, probabilistic, and machine learning-based. In this study, we utilized the GPS records of taxi trips from a popular service provider in the country as shown in Figure 1 in developing a suitable trip purpose inference approach.

PEER INFLUENCE AS DETERMINANTS OF UNIVERSITY- COMMUNITY PREFERENCE FOR GSM SERVICE PROVIDERS IN ONDO STATE, NIGERIA

The study investigated the strength of peer influence as determinants of university-community preference for GSM service providers in Ondo State, Nigeria. Two research questions were raised to guide the study. The study adopted a descriptive research survey. The population for this study consisted of the undergraduate students, academics staff and non-teaching staff of universities in Ondo State who were subscribers to each of the various popular service providers in Ondo State, Nigeria, namely, MTN, Globacom (Glo), Airtel and Etisalat (now 9mobile). The four universities have 34,246 students, 1,642 academic staff and 2,743 non-teaching staff totaling 38,631. Random sampling technique was used to select the sample of three thousand, and eight hundred and sixty-five (3,865) respondents. Questionnaire was used for data collection; the reliability was done by using Gultman Split-half method with a r-value of 0.859. Completed copies of the questionnaire were retrieved from the respondents, 3,863 copies of the instrument were distributed 3,671 copies were collected and used for analysis. The data generated was analyzed using descriptive statistics, charts, mean, standard deviation and percentage. The findings of the study revealed that majority of the respondents are students and friends pressurized themselves to use the network they have been using, it was recommended that, the students should be careful not to be influenced by friends to choose a wrong network provider that might affect them in their academics. KEY WORDS: Peer Influence, Network Providers and University-Community

Mobile phone use pattern among registered women vendors in ima market Imphal West District of Manipur

The present study was carried out in Ema market of Imphal West district to study the mobile phone use pattern among registered women vendors. A sample of 120 registered women vendors were selected from Ema market by taking 56, 40 and 24 registered women vendors through proportionate random sampling from market segments namely Purana bazaar, New market and Laxmi bazaar respectively. Findings revealed that majority (93.33%) of the women own feature phone, popular service providers were Vodafone (52.5%) and Airtel (48.33%), all respondents agreed that cellular mobile service to them was useful, all the respondents use only prepaid mode of payment, Vodafone is the most preferred choice of mobile service provider.

TCP Stalls at the Server Side: Measurement and Mitigation

TCP is an important factor affecting user-perceived performance of Internet applications. Diagnosing the causes behind TCP performance issues in the wild is essential for better understanding the current shortcomings in TCP. This paper presents a TCP flow performance analysis framework that classifies causes of TCP stalls. The framework forms the basis of a tool that we use to analyze packet-level traces of three services (cloud storage, software download, and web search) deployed by a popular service provider. We find that as many as 20% of the flows are stalled for half of their lifetime. Network-related causes, especially timeout retransmissions, dominate the stalls. A breakdown of the causes for timeout retransmission stalls reveals that double retransmission and tail retransmission are among the top contributors. The importance of these causes depends however on the specific service. Based on these observations, we propose smart-retransmission time out (S-RTO), a mechanism that mitigates timeout retransmission stalls through careful and gentle aggression for retransmission. S-RTO is evaluated in a controlled network and also in a production network. The results consistently show that it is effective at improving TCP performance, especially for short flows.

Key determinants of sustainable smartcard payment

This paper aims at examining the sustainability of smartcard payment in retailing and consumer services. The analytical results of our survey data suggest that usefulness, ease of use, convenience, automatic add-value service, security, reliability, and participation of popular service providers have considerable effects on continuous use of smartcard payment. The present work empirically identifies and justifies the key determinants of sustainable smartcard payment from the consumer perspective. The findings provide managerial insights for the implementation of cutting-edge technology to enhance sales and service operations and make important contributions to research and practice in technology-based service innovation and service operations management.

Popularity Analysis for Saudi Telecom Companies Based on Twitter Data

The aim of this study is to investigate the popularity of the telecom companies in Saudi Arabia by considering their profiles on Twitter. Telecommunication plays a vital role in making the communication possible among individuals at geographically distinct locations. With the arrival and penetration of smartphones as a standard, the job of service providers has not remained limited to provide better messaging and voice quality but has been extended to provide competitive value added service and social connectivity to grab and maintain the customer's pool. This research study, take into consideration three leading telecom operators namely Saudi Telecom Company (STC), Mobily and Zain. The popularity of the telecom companies is evaluated by considering their following on Twitter by confirming the location details and then by executing multi-purpose queries on the verified data to yield interesting results about the popularity of the telecom operators. This study, thus identifies the most popular service provider based on the Twitter following in different regions and cities and based on the provincial data a leading telecom operator in Kingdom of Saudi Arabia is also identified.