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Abstract-Role of information technology (IT) within the organization become part of the strategy for the organization in achieving competitive advantage. This is because information technology can create added value for the organization. However, appropriate management of information technology has also become a challenge for the organization in creating effective use of IT and beneficial to the organization...
Retargeting advertising is a new technique applied for online marketing. In the past few years, retargeting advertising had been used in online advertisement. It explored the product information for visitors and focused advertising spending on people who are already familiar with your brand and have recently demonstrated interest. This study applies Social Marketing Theory to develop retargeting advertising...
As an emerging social media, WeChat has brought a shock both theoretically and practically, which caused the shift of service mode and content. However, research on WeChat application and its impacts on performance at firm level are rare. This study examines how WeChat use influence firm performance through customer relationship management (CRM) capability, and value co-creation. Partial least squares...
Hadoop has become the de-facto big data processing framework. Since the success of Hadoop in large data set processing, more and more companies and organizations tend to build their analysis logics into Hadoop stack and share across different develop teams for cost-effective. Hadoop now undertakes not only the original batch computation but also lowlatency online queries. However the Hard Disk Drive...
The main objective of this research is to analyze information of customer contact made to a call center section of a telecommunication company in Thailand. Using role hierarchy mining approach (as process mining technique) enabled us to focus on the hierarchical perspectives of the collected event log with respect to the functional relationships amongst the originators (i.e., the administrators and...
Sentiment analysis is one of the fastest growing areas which uses the natural language processing, text mining and computational linguistic to extract useful information to help in the decision making process. In the recent years, social media websites have been spreading widely, and their users are increasing rapidly. Automotive industry is one of the largest economic sectors in the world with more...
Social media data has become an important part of the digital ecosystem, especially for marketers who consider it as a precious and dangerous weapon companies should acquire to conquer the digital world. By every connection or navigation on networks and social media, internet users generate a huge amount of data: likes, tweets, shares … etc. This data flow gives brands the opportunity to attract more...
In our current context, the Social Web is fostering the creation of a wide range of new textual genres (e.g., review sites, blogs, fora, social networks or microblogs). These new textual genres are becoming more and more important for both users and also for the business sector. Their effective analysis and exploitation may offer an added-value for the decision-making processes of customers but also...
This paper aims to describe the benefits and business case behind the development of SAM, a federated media distribution platform based on the following three pillars: 2nd Screen (Multi-device consumption), Content Syndication (Digital Marketing) and Social Media by combining the three aspects in a single platform that facilitates new business models on the distribution of context aware media-related...
Contemporary human behaviours using the Internet and social media are an extension of behaviours seen long before the knowledge society. In particular, online identities and avatars, and the behaviours associated with these, have strong precedents in literature, in philosophy and in medieval carnival. The philosopher Mikhail Bakhtin has described these phenomena in detail. The growth in scale of such...
In this work we present a Conversation Classifierbased on Multiple Classifiers, to detect Life Events on SocialMedia. In one hand, conversations can provide more contextand help disambiguate life event detection, compared with single posts. On the other hand, the increase in number of messages and the way they interact with each other within the conversation cannot be trivially modeled by a classifier...
Social Media has changed the way we communicate as friends, family and citizens. Social media has allowed individuals with shared interest, regardless of geographical location, to form communities and discussion forums to share tips and tricks of their trade. As a result, platforms such as Twitter and Facebook have become major sources of information for current events and community interests. In...
This paper covers design, implementation and evaluation of a system that may be used to predict future stock prices basing on analysis of data from social media services. The authors took advantage of large datasets available from Twitter micro blogging platform and widely available stock market records. Data was collected during three months and processed for further analysis. Machine learning was...
Hackathons bring developers, artists and designers together around a shared challenge: ideate, plan and create an application in a highly constrained time frame. A way to socialize, solve problems, and strengthen soft and hard skills, hackathons have grown tremendously in popularity in the last half decade. Despite this growth, it has been noted that females do not participate in hackathons with the...
As access to broadband continues to grow along with the now almost ubiquitous availability of mobile phones, the landscape of the e-content delivery space has never been so dynamic. To establish their position in the market, businesses are beginning to realize that understanding each of their customers' likes and dislikes is perhaps as important as the offered content itself. Further, a number of...
Text actionability detection is the problem of classifying user authored natural language text, according to whether it can be acted upon by a responding agent. In this paper, we propose a supervised learning framework for domain-aware, large-scale actionability classification of social media messages. We derive lexicons, perform an in-depth analysis for over 25 text based features, and explore strategies...
Viral marketing, a marketing strategy that leverages the influence power in intimate relationship, has become more prevalent due to the popularity of online social networking services in recent years. Consumers are more likely to make a purchase based on social media referrals. Since marketing through social media and traditional channels may target on different audiences, how to maximize the revenue...
The widespread use of social media and the internet are emerging trends that offer an additional interaction channel for companies to better understand customer sentiments about their brands and products. Sentiment analysis uses text data from social media such as customer comments and reviews, which has the nature of high dimensionality. Without selection, typically there are at least thousands of...
Since the social media hype started in the early 2000s, the Internet has bloomed with user-generated data. The content generated by users in social media varies from blogs, forums, social network platforms, and video sharing communities. This data has a special emphasis on the relationships among users of the community. As a consequence, social media data contains significant information about their...
Internet technology has changed many aspects in business these days, from new product and services development, to business process improvement such as online tender, mobile payment, online registration, and many others. As a result of those changes, companies need the right resources who understand on how to do business and compete in this new economy hence new competencies are hired. This research...
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