Asian Network for Scientific Information is a leading service provider to the publishers of Science, Technology and Medicine (STM) in Asia. Currently Asian Network for Scientific Information is serving more than 37 peer-reviewed journals covering a wide range of academic disciplines to foster communication among scientists, researchers, students and professionals - enabling them to work more efficiently and intelligently, thereby advancing knowledge and learning.

Information Technology Journal
eISSN: 1812-5646
pISSN: 1812-5638

Editor-in-Chief:  Shakil Akhtar
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Review Article
Leveraging Social Media for New Product Development: A Review
Sonica Rautela and Tarun Kumar Singhal
Communication is a vehicle used by the marketer in order to inform, remind and persuade the consumer about their products, services or brands they sell. In other words, marketing communication epitomize the voice of the company. The world of communication has experienced a gradual change and this change can be attributed as a result of the movement from the traditional World Wide Web (WWW) to Web 2.0 state of technologies. One of the discernible changes is the communication ways used by the customer to communicate among themselves or the organizations communicating with their customers. Social media can be referred as one of the medium of this change. These online virtual spaces provide a platform to the users to interact, collaborate and share the content. The present study tries to elucidate the use of social media as a platform to develop new product and services. Also, it tries to present an insight into the various phases of new product development (NPD) where social media can be used to enhance the efficiency and effectiveness of the process. The study explores the different areas, where the work has been done by different researchers and tries to find the gap in the related past studies.
Research Article
Investigating Factors Influencing the Implementation of e-learning at Rural Based Universities
Naziyabanu Mohmedsalim Patel, Armstrong Kadyamatimba and Solomon Madzvamuse
Objective: This research aims to investigate the factors influencing the implementation of e-learning at University of Venda which is one of the rural based universities in South Africa. The university recently introduced the use of blackboard, learning management systems (LMS) platform. The researchers looked at the implications faced by both students and lecturers when LMS was introduced. Methodology: Mixed methods research methodology was used for the study. To understand the impact of the LMS on teaching and learning activities, the researchers found it necessary to establish the adoption rate of the LMS for the university and compare it to that of urban universities which have already implemented similar systems. The researchers went on to establish the factors influencing the poor implementation rate in rural universities. Factors such as the level of usage of the LMS and perceptions of users were identified to assist in reaching at the conclusion on failure or success of the e-learning program. Results: The results indicated some positive perception by both educators and students. There were noted interest for the LMS usage and eagerness to apply the LMS in teaching and learning activities. Conclusion: However, the results indicated that, lack of training, poor awareness program and poor infrastructure, were the contributing factors of the failure of the e-learning program. Reshaping the perceptions by learners and educators might also contribute to the success of e-learning implementation.
Research Article
Application of Multilevel Grey Comprehensive Assessment on the Technological Evaluation of Web Presence
Ramanayaka Kokila Harshan, Xianqiao Chen and Bing Shi
Background and Objective: Websites are mainly used as a virtual image and promotional platform of the organization that display all information and services given by them. There is a necessity for successive monitoring the condition of the website to give a strong internet-based information delivery and communication to the community while web presence considers as a strong indicator of the performance and reputation of a website and it is a good indicator to find out where the specific website is on the web, how good the content is and how it relates to the other parties. The objective was to engage this study in a scientific discussion on feasibility of a multi-level grey evaluation model based on linguistic terms characterized by interval grey numbers to evaluate webometric status of websites which include various multidimensional technological and logical factors. Materials and Methods: The study conducted an extensive literature review along with discussions with local experts to identify the criteria that affect to the web presence of a website and how to measure these criteria. The model for evaluating web presence of websites was developed based on the grey theories while research into the mathematics underlying the grey theories using books and studies published research papers. Results: A case application was carried out in assessing the web presence of university library websites in Sri Lanka to make the model more understandable. The results declare that the model is easy to use, understandable, robust as well as scientific than the human evaluation processes and other traditional ways. The results suggested that each attribute constitutes differently to evaluate the web presence of each website which will help decision-makers to know what improvements are needed to enhance the effectiveness and the final relative weights of each alternative at the last level of the hierarchy, could lead to commend the best option. Conclusion: The research approach criteria and their relative impact provide useful information to monitor the effectiveness of the current websites and provide strategic suggestions to develop enhanced websites.
Research Article
Context-dependent Syllable Modeling of Sentence-based Semi-continuous Speech Recognition for the Tamil Language
Ibralebbe Mohamed Kalith, David Asirvatham and Ismail Raisal
Background and Objective: Automatic speech recognition transcribes acoustic signal into strings of words for a given language. Speech recognition applications in native languages will enable information accessible for illiterate and disabled user in the society. In this research, the focus was on improving automatic speech recognition of the Tamil language. The development of a large-vocabulary continuous speech recognition system for Tamil language, which requires an acoustic model to be trained on a large vocabulary corpus. Methodology: To address the challenges, a modeling efficient sub-word units were recommended and designed a consonant-vowel six-segment (CVS-6) algorithm for syllabification of a Tamil text corpus and experimentally investigated its speech recognition accuracy. A specific database was constructed using 120 sentences of semi-continuous speech, comprising 561 words and 436 unique syllables. Results: The syllable-based model achieved a mean recognition rate of 81.41% (standard deviation, 6.94%) compared with the 69.87% (standard deviation, 4.11%) achieved by a phoneme-based model. The word error count for complex words was 25% by the syllable-based model compared with 54.96% by the phoneme-based model, a reduction of 30%. Conclusion: Syllable-based model using consonant-vowel six-segment algorithm is good choice and can be used to sub-word modeling of large vocabulary continue speech in Tamil language.

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