Trace-Based Analysis of Mobile User Behaviors for Opportunistic Networks

2011 ◽  
Author(s):  
Wei-Jen Hsu ◽  
Ahmed Helmy
Keyword(s):  
Opportunistic Networks ◽  
Mobile User ◽  
User Behaviors

Mobile User Behaviors in China

2015 ◽  
pp. 1110-1128
Author(s):  
Minglong Lei ◽  
Weidong Liu ◽  
Yusong Gao ◽  
Tingshao Zhu
Keyword(s):  
Mobile Phones ◽  
User Behavior ◽  
Mobile User ◽  
User Behavior Analysis ◽  
Related Literature ◽  
User Behaviors ◽  
Analysis Process ◽  
Mobile Industry ◽  
The Mainland Of China ◽  
The Relationship

The development of the mobile industry makes it necessary for scholars to study mobile user behaviors in the mainland of China. This article is divided into three main parts after a brief introduction of the current Chinese mobile phone market. The first part is to demonstrate mobile use and its influencing factors in the mainland of China, and then to determine the mostly studied mobile usages among those articles. The second part pays attention to the effect brought by the use of mobile phones, and then checks the relationship between mobile addiction and other social behaviors. The last part is to illustrate the methods employed in the mobile user behavior analysis. After stating the analysis process of user behaviors, the authors attempted to summarize the main features extracted from data mining technology. Finally, the authors put forward some possible directions under the topic of mobile user behavior after careful review of the related literature.

Capturing Mobile User Behaviors: A Network Measurement Approach

2013 ◽  
Vol 765-767 ◽  
pp. 1494-1497
Author(s):  
Xiao Xia ◽  
Xiao Dong Wang ◽  
Xing Ming Zhou
Keyword(s):  
Network Measurement ◽  
Mobile User ◽  
Research Community ◽  
Mobile App ◽  
New Method ◽  
Transaction Data ◽  
User Behaviors ◽  
Novel Approaches ◽  
Measurement Approach

Understanding the online user behaviors in the mobile app markets is vital for the development of mobile app ecosystems. However, user transaction data is difficult to obtain by the general research community so that little efforts have been paid to measure such behaviors. Therefore, we develop novel approaches to characterize the user behaviors. We firstly exploit app networks from the app market, which are derived from user behaviors thus capture the behavior features. We then introduce the metrics of network measurement and propose a new method to measure the app similarity. Using these metrics and methods, we generate statistics of the app networks and reveal patterns and motivations of user behaviors, which may give fundamental data and motivation supports for future works.

Relationships between Individuals' Convergence Readiness and Performance in Using Mobile Phones

2016 ◽  
Vol 8 (1) ◽  
pp. 13-34
Author(s):  
Po-Chien Chang
Keyword(s):  
Mobile Phones ◽  
New Technologies ◽  
Individual Performance ◽  
Mobile User ◽  
Business Practices ◽  
Behavioral Patterns ◽  
Is Implementation ◽  
User Behaviors ◽  
Digital Convergence ◽  
Self Service

Due to the emerging trend of digital convergence, the uses of self-service technologies (SSTs) on mobile devices are pervasive worldwide. However, most studies have devoted their efforts to the adoption of new technologies, few studies and business practices paid attention to the evaluation and consequences of mobile user behaviors, such as the uses of a mobile phone for information, communication and self-related services. Hence, this study developed a model by integrating technology readiness and individual performance to assess the individuals' level of readiness and various behavioral patterns in the use of mobile phones. The results show the perceptions of optimism and innovativeness are effective indicators that explain individuals' performance and usage behaviors in the use of mobile phones. The behavioral patterns of using various self-service technologies on mobile phones are segmented and have hierarchical effects. The research implications are valuable to IS implementation and service marketing in the domain of digital convergence.

Relationships Between Individuals' Convergence Readiness and Performance in Using Mobile Phones

2018 ◽  
pp. 1221-1245
Author(s):  
Po-Chien Chang
Keyword(s):  
Mobile Phones ◽  
New Technologies ◽  
Mobile User ◽  
Behavioral Patterns ◽  
Related Services ◽  
Is Implementation ◽  
User Behaviors ◽  
Digital Convergence ◽  
Self Service ◽  
And Performance

Due to the emerging trend of digital convergence, the uses of self-service technologies (SSTs) on mobile devices are pervasive worldwide. However, most studies have devoted their efforts to the adoption of new technologies, few studies and business practices paid attention to the evaluation and consequences of mobile user behaviors, such as the uses of a mobile phone for information, communication and self-related services. Hence, this study developed a model by integrating technology readiness and individual performance to assess the individuals' level of readiness and various behavioral patterns in the use of mobile phones. The results show the perceptions of optimism and innovativeness are effective indicators that explain individuals' performance and usage behaviors in the use of mobile phones. The behavioral patterns of using various self-service technologies on mobile phones are segmented and have hierarchical effects. The research implications are valuable to IS implementation and service marketing in the domain of digital convergence.

Sign in / Sign up

Export Citation Format

Share Document