Social Influence in Mobile Phone Adoption: Evidence from the Bottom of Pyramid in Emerging Asia

2009 ◽  
Author(s):  
Harsha de Silva ◽  
Dimuthu Ratnadiwakara ◽  
Ayesha Zainudeen
Keyword(s):  
Social Influence ◽  
Mobile Phone ◽  
Bottom Of Pyramid

Churn Influence Diffusion in a Multi-Relational Call Network

2015 ◽  
Vol 719-720 ◽  
pp. 886-896
Author(s):  
Georges Olle Olle ◽  
Shu Qin Cai ◽  
Qian Yuan ◽  
Shi Miao Jiang
Keyword(s):  
Social Influence ◽  
Mobile Phone ◽  
Mobile Network ◽  
Churn Prediction ◽  
Influence Analysis ◽  
Customer Churn ◽  
Linear Threshold ◽  
Influence Diffusion ◽  
Telecommunication Companies ◽  
Mobile Network Operators

Customer Churn is a pesky problem that continues to haunt telecommunication companies. Social influence analysis has recently been introduced in churn prediction, motivated by the fact thatsome users can churn due to accumulated churn influence that they’ve received from other churners.We’ve collected call data records of about 10 thousands mobile phone users of one the largest mobile network operators in China,and have built a Multi-relational call network which is a graph constructed by mobile phone users considered as nodes and the interactive calls between them considered as the relationships or edges. We’veapplied Linear Threshold (LT) to model the diffusion of churners influence in theobtainedsocial network, in order to analyze the relevance of social affinities in the diffusion of churn influence.The results indicate that churn influence diffusion depends not only on the number of initial churners but also on the existingaffinities between users.

Giving Up Smoking Using SMS Messages on your Mobile Phone

2016 ◽  
pp. 238-259
Author(s):  
Silvia Cacho-Elizondo ◽  
Niousha Shahidi ◽  
Vesselina Tossan
Keyword(s):  
Public Health ◽  
Social Influence ◽  
Mobile Phone ◽  
Mobile Devices ◽  
Cell Phones ◽  
Explanatory Model ◽  
Monetary Value ◽  
Intention To Adopt ◽  
Stop Smoking ◽  
Perceived Enjoyment

The current tendency to use cell phones or other mobile devices for healthcare purposes offers a huge opportunity to improve public health worldwide. In that direction, mobile devices make it easier to offer coaching services through text/video messages, to support individuals trying to break addictions such as smoking. Given that use of such services is still low in France and other countries, it is important to have greater understanding of what leads users to adopt them. Therefore, we propose and validate an explanatory model for the intention to adopt a mobile coaching service to help people to stop smoking. This chapter uses the concepts of vicarious innovativeness, social influence, perceived monetary value, perceived enjoyment, and perceived irritation.

scholarly journals Inferring social influence in transport mode choice using mobile phone data

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Santi Phithakkitnukoon ◽  
Titipat Sukhvibul ◽  
Merkebe Demissie ◽  
Zbigniew Smoreda ◽  
Juggapong Natwichai ◽  
...  
Keyword(s):  
Social Influence ◽  
Mobile Phone ◽  
Mode Choice ◽  
Mobile Phone Data ◽  
Transport Mode

Giving Up Smoking Using SMS Messages on your Mobile Phone

2015 ◽  
pp. 72-94
Author(s):  
Silvia Cacho-Elizondo ◽  
Niousha Shahidi ◽  
Vesselina Tossan
Keyword(s):  
Public Health ◽  
Social Influence ◽  
Mobile Phone ◽  
Mobile Devices ◽  
Cell Phones ◽  
Explanatory Model ◽  
Monetary Value ◽  
Intention To Adopt ◽  
Stop Smoking ◽  
Perceived Enjoyment

The current tendency to use cell phones or other mobile devices for healthcare purposes offers a huge opportunity to improve public health worldwide. In that direction, mobile devices make it easier to offer coaching services through text/video messages, to support individuals trying to break addictions such as smoking. Given that use of such services is still low in France and other countries, it is important to have greater understanding of what leads users to adopt them. Therefore, we propose and validate an explanatory model for the intention to adopt a mobile coaching service to help people to stop smoking. This chapter uses the concepts of vicarious innovativeness, social influence, perceived monetary value, perceived enjoyment, and perceived irritation.

scholarly journals Influencing Factors on the Actual Usage of Mobile Phone Banking in the Shari'ah Banks: A Survey in Palembang City, Indonesia

2019 ◽  
Vol 7 (1) ◽  
pp. 001
Author(s):  
Chandra Zaki Maulana ◽  
Yuyus Suryana ◽  
Dwi Kartini ◽  
Erie Febrian
Keyword(s):  
Social Influence ◽  
Mobile Phone ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Primary Data ◽  
Mobile Banking ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Independent Variables ◽  
Actual Usage

This research was developed from a study conducted by Talukder, Quazi and Sathye in 2014 whom were tried to discover mobile phone banking usage behavior of banks customers in Canberra, Australia. A research model was set to find the relationship between independent and dependent variables. Independent variables consisted of five variables, namely, Perceived Usefulness (PU), Perceived Ease of Use (PEU), Trust (T), Social Influence (SI) and System Quality (SQ), whilst the dependent variable is Actual Usage (AU) of Mobile banking in the Shari’ah banks. Thus, making this research a multiple regression analysis. A survey was conducted by distributing questionnaires to gather primary data from 126 respondents of Shari’ah banks customers in Palembang City, South Sumatra Province, Indonesia. The findings show evidence that there are positive and significant relationship between all independent variables and the dependent variable. As such variable with the highest impact is PEU (30,3%) whilst the lowest is SI (18%) meaning that perceived ease of use amongst customers of Shari’ah banks in Palembang City gave the highest impact on their actual usage of mobile banking, compared to social influence, which is lower. Therefore, it is recommended that Shari’ah banks in this city should consider to put more attention in to providing their customers with a mobile banking application which is easy to use as well as keeping it up to date with the needs of the customers. As an implication to the providers, financial institutions can capitalize on the finding of this research to enhance the ease of use of their application on mobile banking.

The Psychology of Social Influence

2020 ◽  
Author(s):  
Gordon Sammut ◽  
Martin W. Bauer
Keyword(s):  
Social Influence
Sign in / Sign up

Export Citation Format

Share Document