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The purpose of the study is to assess the familiarity and utilization of open access resources among library users of Cochin University of Science and Technology (CUSAT), Kochi, and Pondicherry University (PU), Puducherry.

Data for the study were collected via a well-structured questionnaire. For this study, 250 questionnaires were administered among library users of each CUSAT and PU through incidental sampling. From CUSAT and PU, 180 and 160 questionnaires, respectively, were considered for data analysis.

The study reveals that majority of the respondents, i.e. 77.78 and 80 per cent of CUSAT and PU, respectively, believe that they are familiar with the concept of open access (OA). 70.56 per cent respondents from CUSAT and 71.88 per cent users from PU are aware that their library has an OA repository. However, majority of the respondents, i.e. 65 and 70.63 per cent users from CUSAT and PU, respectively, use OA resources. Among OA resources, electronic theses and dissertations are the most preferred ones consulted by 56.67 and 62.50 per cent respondents, respectively, from CUSAT and PU. 60.56 per cent respondents from CUSAT followed by PU (52.50 per cent) cited “screen reading” as a main barrier in accessing OA resources.

Both the universities under study have created and maintained the OA institutional repository for disseminating their institutional intellectual output. This study explores awareness and use of OA resources among library users of CUSAT and PU. The study concludes with some suggestions for utmost utilization of OA resources among library users.

The purpose of this article is to present the results of a research study conducted to assess the perceptions and opinions of 100 staff working in libraries on the impact of using IT on library housekeeping operations and information services, in eight central university libraries in India.

Data gathering tools used include questionnaire, observation and informal interviews with selected library professionals.

Iinformation technology had a tremendous impact on the efficiency of library operations and the delivery of information services. Use of IT has facilitated networking and resource sharing, eliminated duplication of effort, improved the speed of operations, increased access to information resources and improved the quality of information services.

This is a pioneering study on the impact of using IT in the central university libraries in India. The findings of the study would help practising librarians, policy makers, management and the University Grants Commission to promote the use of IT in libraries.

Social interaction applications and reference tools are actively used by researchers to share and manage their research publications. Thus, this paper aims to determine the scholarly impact of selected Indian central universities.

This study analyzed 669 articles having both Dimensions citations and Altmetric attention scores published by 35 Indian central universities for 4 subfields of Computer Science using Altmetric Explorer. This paper determined each university’s contribution in the studied subfields of Computer Science and the correlation among Altmetric attention score (aggregated and individual), Dimensions citation, and Mendeley readership counts for all 669 articles and stratified percentile sets of top 25%, and top 50% of the overall number of articles.

The findings showed that Jawaharlal Nehru University had the maximum Altmetric attention score, Banaras Hindu University received the maximum Dimensions citation, and University of Hyderabad (UoH) received the maximum number of Mendeley readers. Each central university was examined individually and then ranked based on their median values of Dimensions citations and Altmetric attention scores. Further, Twitter had the maximum Altmetric coverage, followed by Google+, Patent and Facebook for the retrieved articles. A significant strong positive correlation was observed between the Dimensions citation and Mendeley readership counts for all the three categories.

Both Altmetric attention scores and Dimensions citations can help funding agencies to assess and evaluate the research productivity of these universities, thus, making important decisions such as increasing, decreasing, re-distributing their funds.

The current body of research is focused mostly on relationships between citations and individual Altmetric indicators predominantly. For most of the studies, the citations were retrieved from Scopus, Web of Science or Google Scholar database. It was observed that by far, no study had examined the relationship between citations retrieved from Dimensions database, Altmetrics scores (both aggregated and individual) and Mendeley readership counts.

The purpose of this study is to report the results of a survey conducted at Bharathidasan and Alagappa Universities to determine the research scholars' awareness, use of Open Access (OA) resources, reasons for using, impact of OA on the research scholars' research, satisfaction and problems faced.

In this study, a self-assessed questionnaire was developed to collect data from the research scholars pursuing their research degrees from Bharathidasan and Alagappa Universities of Tamil Nadu, India. A total of 400 research scholars from various disciplines responded were used for analysis.

The results indicated that the majority of research scholars aware of few OA resources to a large extent and afraid to redistribute the sources as they fear of copyright issues. Easy to use, more informative and global research at one place were the major reasons for accessing the resources. The research scholars were aware of OA features and OA's impact such as freedom to use, modify, resources available with source code, reliability, self-archiving, quick publishing, more citations etc. Delay in downloading and lack of computer terminals to access the resources were the major issues faced by the research scholars. On the whole, the researchers are considering OA model as an alternative to business model and expect the university librarians to promote and enhance the accessibility of OA resources.

The outcomes of the results will enable the librarians and authorities in universities to formulate appropriate decisions to remove the issues faced by the research scholars and develop a framework for new literacy instructions.

The study undertaken is new to the Indian continent and the Tami Nadu state in particular. The findings of the study will be useful to improve the awareness level and use of OA resources effectively.

The purpose of this paper is to provide an insight into the determinants of the customers’ attitude and behavioural intention to use Internet banking services, paying special attention to the role of perceived risk, trust, enjoyment, website design and social influence.

A research model grounded on the technology acceptance model (TAM) reflecting the effects of trust, perceived risk, perceived enjoyment, perceived website design and social influence on TAM constructs is proposed. The structural equation modelling technique is used to analyse a sample of 697 individual Internet banking users in India through an online survey.

The results of data analysis confirm some of the hypotheses drawn from the literature. Consistent with some of the other studies, perceived usefulness, perceived ease of use, trust and perceived enjoyment are found to be immediate direct determinants of customers’ attitude towards using Internet banking. Attitude, perceived risk, perceived enjoyment and trust determine the customers’ behavioural intentions to use Internet banking. Although the direct effect of perceived website design is significant only on perceived ease of use, its indirect effects are significant on perceived usefulness, attitude and behavioural intentions. Furthermore, perceived enjoyment exerts both direct and indirect effects on perceived usefulness but exerts only direct effect on perceived ease of use.

Generalizability of the research is a practical limitation in consumer research studies and the present study is not an exception to that. The current study focused only on some technological, behavioural and attitudinal factors, and many customer-specific factors and other psychographic and behavioural factors such as cost, perceived value, service quality and satisfaction, which can provide more significant insight into the adoption process, are not a part of the scope of the study.

This research specifies the implications in three perspectives, viz., theoretical, methodological and managerial. Furthermore, this study provides the practical recommendations to enhance customer trust and guidelines to reduce perceived risk. The most significant implication for the banking sector is that apart from offering useful and user-friendly services, they need to build a trusting relationship with customers.

This study extends existing body of Internet banking literature by incorporating trust and risk perceptions. The effects of website design and perceived enjoyment on Internet banking acceptance have been examined and were found to be significant in the Indian context. In addition, it enables us to contribute to the current literature on the emerging Indian Internet banking services (IBS) market, which is largely under-researched.

This study aims to construct an appropriate framework by incorporating essential components from the most renowned theories to investigate the variables that impact behavioural intentions towards embracing cashless transactions (CLT).

A survey was conducted to ascertain the users’ intention to adopt CLT in Chennai, Tamil Nadu, India. Further, this study used a “partial least squares-based structural equation modelling” technique to analyse the relationships between latent factors.

The results of the proposed model revealed that 11 independent variables together explain the intention to use CLT with a 60.5% explanatory power. Further, perceived usefulness is the most influential factor in predicting users’ willingness to adopt CLT, followed by social influence, perceived costs, attitude, trust and device barriers. Finally, the findings of moderator effects indicate that income and experience interact positively and strongly with behavioural intention to adopt CLT. It indicates that high-income, experienced users are more likely to convert their intentions into actions.

This study integrated critical elements from the major theories, such as Theory of Reasoned Action, Technology Acceptance Model, Decomposed Theory of Planned Behaviour, the unified theory of acceptance and use of technology (UTAUT) model and UTAUT2, to investigate the adoption of CLT. As a result, 11 crucial factors were identified from the existing literature that impacts CLT adoption without overlapping. Consequently, the model presented in this study provides a more profound understanding than previous research regarding why individuals adopt CLT systems. Accordingly, these results could aid policymakers in addressing people’s concerns and facilitating a seamless transition to a cashless society.

Business intelligence (BI) has been applied in various domains to take better decisions and it provides different level of information to its stakeholders according to the information needs. The purpose of this paper is to present a literature review on recent works in BI. The two principal aims in this survey are to identify areas lacking in recent research, thereby offering potential opportunities for investigation.

To simplify the study on BI literature, it is segregated into seven categories according to the usage. Each category of work is analyzed using parameters such as purpose, domain, problem identified, solution applied, benefit and outcome.

The BI contribution in various domains, ongoing research in BI, the convergence of BI domains, problems and solutions, results of congregated domains, core problems and key solutions. It also outlines BI and its components composition, widely applied BI solutions such as algorithm-based, architecture-based and model-based solutions. Finally, it discusses BI implementation issues and outlines the security and privacy policies adopted in BI environment.

In this survey BI has been discussed in theoretical perspective whereas practical contribution has been given less attention.

A comprehensive survey on BI which identifies areas lacking in recent research and providing potential opportunities for investigation.

The current study seeks to investigate, why and how faculty members of Indian central universities are using academic social networking sites (ASNs) for research communication and information dissemination, as well as validate and update the results of previous scholarship in this area. To achieve this, the paper uses structural equation model (SEM).

A simple random sampling method was adopted. Online survey was conducted using a well-designed questionnaire circulated via email id among 3384 faculty members of Indian Central Universities. A SEM was designed and tested with International Business Machines (IBM) Amos. Apart from this, Statistical Package for Social Sciences (SPSS) 22 and Microsoft Excel 2010 were also used for data screening and analysis.

The study explores that most of the respondents are in favour of using the ASNs/tools for their professional activities. The study also found that a large chunk of the respondents used ASNs tools during day time. Apart from it, more number of faculty members used ASNs in research work than general purpose. No significant differences were found among the disciplines in use behaviour of ASNs in scholarly communication. Three hypotheses have been accepted while two were rejected in this study.

The study was confined to the twelve central universities, and only 312 valid responses were taken into consideration in this study.

The paper demonstrates the faculty members’ use behaviour of ASNs in their research communication. The study also contributes new knowledge to methodological discussions as it is the first known study to employ SEM to interpret scholarly use of ASNs by faculty members of Indian central universities.

In this paper, a newly proposed hybridization algorithm namely constriction coefficient-based particle swarm optimization and gravitational search algorithm (CPSOGSA) has been employed for training MLP to overcome sensitivity to initialization, premature convergence, and stagnation in local optima problems of MLP.

In this study, the exploration of the search space is carried out by gravitational search algorithm (GSA) and optimization of candidate solutions, i.e. exploitation is performed by particle swarm optimization (PSO). For training the multi-layer perceptron (MLP), CPSOGSA uses sigmoid fitness function for finding the proper combination of connection weights and neural biases to minimize the error. Secondly, a matrix encoding strategy is utilized for providing one to one correspondence between weights and biases of MLP and agents of CPSOGSA.

The experimental findings convey that CPSOGSA is a better MLP trainer as compared to other stochastic algorithms because it provides superior results in terms of resolving stagnation in local optima and convergence speed problems. Besides, it gives the best results for breast cancer, heart, sine function and sigmoid function datasets as compared to other participating algorithms. Moreover, CPSOGSA also provides very competitive results for other datasets.

The CPSOGSA performed effectively in overcoming stagnation in local optima problem and increasing the overall convergence speed of MLP. Basically, CPSOGSA is a hybrid optimization algorithm which has powerful characteristics of global exploration capability and high local exploitation power. In the research literature, a little work is available where CPSO and GSA have been utilized for training MLP. The only related research paper was given by Mirjalili et al., in 2012. They have used standard PSO and GSA for training simple FNNs. However, the work employed only three datasets and used the MSE performance metric for evaluating the efficiency of the algorithms. In this paper, eight different standard datasets and five performance metrics have been utilized for investigating the efficiency of CPSOGSA in training MLPs. In addition, a non-parametric pair-wise statistical test namely the Wilcoxon rank-sum test has been carried out at a 5% significance level to statistically validate the simulation results. Besides, eight state-of-the-art meta-heuristic algorithms were employed for comparative analysis of the experimental results to further raise the authenticity of the experimental setup.

The second part of this paper reports the results of application of the theory and methodology to the analysis of Indian society in the current decade. It explains the nature of retrodictive confirmation and predictive inference obtainable from the present approach. A methodological realization of the concept of a performance panel for societal systems is demonstrated.