Firms send short message services (SMS) to customers’ mobile phones to promote their products. Many firms personalize this content to increase the relevance of the recommendations and to avoid overloading users with too many messages. This research examines the effects of location-based personalization on users’ intentions to use personalized mobile SMS. We draw on motivational theories to deve...

porpose: the present study aims to determine the librarians' innovative behavior and its influential factors on the acquisition process. methodology: the methodology for this study is based on survey research. the instrument for collecting data was questionnaire. the research population consisted of 104 librarians and active managers in the acquisitions process of the organization of libraries,...

Identifying influential users and predicting their “network impact” on social networks have attracted tremendous interest from both academia and industry. Most of the developed algorithms and tools are mainly dependent on the static network structure instead of the dynamic diffusion process over the network, and are thus essentially based on descriptive models instead of predictive models. In t...

In this paper, we describe a novel data model for particular online business social networks such as Tripadvisor and Yelp: we also define a greedy influence maximization algorithm to determine the most influential users on the base of proper influence patterns. The result of such analysis is then combined with some economic data in order to propose a set of possible financial strategies for bus...

This paper examines the challenges that game localization is confronting. By focusing on China, the paper explores the uniquenesses of digital games and proposes a three-dimension model for evaluating and improving game localization. These three dimensions include In-Game Environment, External Environment, and Users. The paper analyzes both successful and failed foreign games in China in connec...

Opinions, the key influencer of human behavior and activity is ranked as of one of the strong factors that determine the effectiveness of one’s strategy and approach in terms of influential power and trend setting capabilities. This highlights the importance of sentiment analysis done upon the extracted data. Today, statistics have shown significantly that most opinions can be obtained via many...

renewable natural resources are national capital and are of paramount importance in each country. preservation and developing these resources is incumbent upon relevant institutions and all people especially the beneficiaries. in this regard, various approaches have been recommended for optimum use and sustainable preservation of natural resources especially rangelands among which co-management...

Contrary to our näıve understanding that ideas for innovation are generated by supply-side such as product developers, studies suggest that ideas can be generated by consumers, especially the group of users called ”early adopters” who behave differently from product developers in regard to product adoption and general knowledge. This research includes an experiment with consumers to test what i...

Estimation of a person’s influence and personality traits from social media data has many applications. We use social linkage criteria, such as number of followers and friends, as proxies to form corpora, from popular blogging site Livejournal, for examining two two-class classification problems: influential vs. non-influential, and extraversion vs. introversion. Classification is performed usi...

My research focuses on Information Mediators which collect content from various sources and present a unified view to users. In particular, I focus on Web search engines, arguably the most influential information mediation systems. As the amount of online information multiplies, the role of information mediators is likely to grow further. In my research I study the key challenges that are vital...