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Purpose – The purpose of this paper is to develop a new model, namely service quality measurement for E_Electricity utility service in Odisha a state of India for the measurement of service quality. Design/methodology/approach – Service quality regulation is an important and timely issue in many industries. The question of governance of power sector is an important question before researchers, policy makers and administrators for the obvious reason of its being an important input for socio-economic development of a nation. Power sector involves complex activities like generation, transmission, distribution and final delivery of service to end-users, i.e. consumers. Initially, private sector was the main player in the power sector when the electricity came to be used in India during the pre-independence period. The trajectory of power industry, from its inception to the present, has been complex rather than being simplistic for the reason that the pendulum of industry's ownership and regulation swings between privatization and nationalization. The consumers are main sufferer in this type of situation, and the satisfaction level decreases day by day. So government has changed it's strategies by implementing e-governance to electricity sector for achieving maximum consumer satisfaction. The first step to e-governance is change management within the government, enhancing citizens' access to information and improving government-to-citizen (G2C) interactions. This work seeks to propose a theoretical scale to measure e-government service quality and validate the measured instrument for electricity utility service by structural equation modeling. Findings – The results indicate that basically the E_electricity service has a positive and direct influence on dimensions (web site design, fulfillment, privatisation and information). Research limitations/implications – Only Odisha state is considered for measuring online service quality in electricity utility service. Originality/value – As the electricity utility industry is doing monopoly business in India and all states basically in Odisha due to that the customer dissatisfaction is the most important obstacle. So the policy makers must concentrate on the dimensions and the sub-dimension before regulating new policies.

Author identification is an important aspect of literary analysis, studied in natural language processing (NLP). It aids identify the most probable author of articles, news texts or social media comments and tweets, for example. It can be applied to other domains such as criminal and civil cases, cybersecurity, forensics, identification of plagiarizer, and many more. An automated system in this context can thus be very beneficial for society. In this paper, we propose a convolutional neural network (CNN)-based author identification system from literary articles. This system uses visual features along with a five-layer convolutional neural network for the identification of authors. The prime motivation behind this approach was the feasibility to identify distinct writing styles through a visualization of the writing patterns. Experiments were performed on 1200 articles from 50 authors achieving a maximum accuracy of 93.58%. Furthermore, to see how the system performed on different volumes of data, the experiments were performed on partitions of the dataset. The system outperformed standard handcrafted feature-based techniques as well as established works on publicly available datasets.

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