Social media platforms have become very popular these days among individuals and organizations. On the one hand, organizations use social media as a potential tool to create awareness of their products among consumers, and on the other hand, social media data is useful to predict the national crisis, election polls, stock prediction, etc. However, nowadays, a debate is going on about the quality of data generated on social media platforms, whether it is relevant for prediction and generalization. The article discusses the relevance and quality of data obtained from social media in the context of research and development. Social media data quality issues may impact the generalizability and reproducibility of the results of the study. The paper explores possible reasons for quality issues in the data generated over social media platforms along with the suggestive measures to minimize them using the proposed social media data quality framework.

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Technical development has main role in development and everyone is moving fast. In the advance technical environment of computers, all system has changed into automatic and computerized system. Now the most countries become digital, it being a advance step as a improvement in "Railway Enquiry And Facilities System". Service quality is the most important factor for the passenger's satisfaction. This paper deals with development and implementation of source for Railway Enquiry System which is better than the other existing Railway Enquiry System. The purpose of the paper is to enhance the service quality of Railway Enquiry System. Mainly the paper describes how to manage good performance and better facilities to customer.

Extensive research has been conducted in identifying the critical issues and the implementation challenges involved in an ERP project in higher education. But limited studies investigated the implementation issues in the context of higher education institutions. The authors attempt to observe and compare two different higher education institutions in South Africa and India with the objective of bringing out the practical determinants of roadblocks to a successful ERP project implementation and subsequently provide the readers with possible solutions. The findings suggest implementation issues broadly evolve from three major areas, namely, project management issues, which involve the technical as well as the functional aspects; issues concerning the improper application of software development life cycle phases; and human capital issues which involve beliefs and attitudes. The authors strongly believe that the learning received from the case studies significantly contribute to the organizational knowledge concerning technology and business process reengineering.