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This paper aims to analyse the impact of open-access (OA) journals in engineering and technology institutions, if libraries are not subscribed to the journals through the All India Council for Technical Education (AICTE) mandatory packages. In India, many engineering colleges do not subscribe to journals through business subscription models or consortia and invariably a majority of them depend on OA journals to fulfil their users’ needs.

The paper identifies the impact factors of mandatory journals made in big-deal subscriptions with the impact factors of OA journals available to access in Directory of OA Journals pertaining to engineering and technology.

The study reveals that journals subscribed through big-deal subscriptions have better impact in the scholarly communications than the OA journals.

The results of this study cannot be generalized to all disciplines. Impact factors of journals can also be calculated by use of SCImago Journal Rank indicator, which uses the Scopus database. Publish or Perish can also be used to analyse Google Scholar rankings to identify the individual journal’s impact.

The result of the study is useful for selection of e-journals in big-deal subscriptions and it highlights the implications and impact of OA journals in engineering and technology.

Library consortia have played a vital role in sharing information resources among participating libraries. In India, engineering college libraries subscribe to many electronic resources through the Indian Digital Library of Engineering Science and Technology (INDEST) consortium. This paper aims to identify the collection development of electronic resources through INDEST to predict the most required and useful model for engineering colleges.

The list of colleges that subscribe to electronic resources through INDEST was studied online and analyzed.

It is evident that most colleges only subscribed IEL online through INDEST. Some colleges have subscribed to different resources from more than one publisher. The bundles of resources subscribed through INDEST have not fully supported all the courses offered by the institutions. It is revealed that the bibliographical databases for searching the literature in technological sciences were not subscribed to by any colleges participating in INDEST.

The results of this study are useful for engineering college libraries to develop the collection of online journals in the digital era.

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

Introduces and annotates English-language periodical articles, monographs and other materials on library instruction and information literacy published in 2013.

Provides information about each source, discusses the characteristics of current scholarship and describes sources that contain unique scholarly contributions and quality reproductions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

This paper aims to review the current LIS literature for document supply, resource sharing and other issues such as open access (OA) that have an impact upon the service.

The approach is based on the scanning of about 150 journals, reports, websites and blogs.

Lorcan Dempsey from OCLC looks into the future. Patron-driven acquisition and pay per view continue to receive much attention. There is considerable debate on the development of OA as the pace increases; of particular interest is Schöpfel on the impact of OA on document supply.

This is the only regular literature review that focuses on interlending and document supply and related issues.

The electromagnetic field and cooling system of a high power switched reluctance motor (SRM) are studied numerically. The geometry of the motor and its main components are established using a computer-aided design software in the actual size. This study aims to evaluate the resulting thermal losses using the electromagnetic analysis of the motor.

In the electromagnetic analysis, the Joule’s loss in the copper wires of the coil windings and the iron losses (the eddy currents loss and the hysteresis loss) are considered. The flow and heat transfer model for the thermal analysis of the motor including the conduction in solid parts and convection in the fluid part is introduced. The magnetic losses are imported into the thermal analysis model in the form of internal heat generation in motor components. Several cooling system approaches were introduced, such as natural convection cooling, natural convection cooling with various types of fins over the motor casing, forced conviction air-cooled cooling system using a mounted fan, casing surface with and without heat sinks, liquid-cooled cooling system using the water in a channel shell and a hybrid air-cooled and liquid-cooled cooling system.

The results of the electromagnetics analysis show that the low rotational speed of the motor induces higher currents in coil windings, which in turn, it causes higher copper losses in SRM coil windings. For higher rotational speed of SRM, the core loss is higher than the copper loss is in SRM due to the higher frequency. An air-cooled cooling system is used for cooling of SRM. The results reveal when the rotational speed is at 4,000 rpm, the coil loss would be at the maximum value. Therefore, the coil temperature is about 197.9°C, which is higher than the tolerated standard temperature insulation material. Hence, the air-cooled system cannot reduce the temperature to the safe temperature limitation of the motor and guarantee the safe operation of SRM. Thus, a hybrid system of both air-cooled and liquid-cooled cooling system with mounting fins at the outer surface of the casing is proposed. The hybrid system with the liquid flow of Re = 1,500 provides a cooling power capable of safe operation of the motor at 117.2°C, which is adequate for standard insulation material grade E.

The electromagnetic field and cooling system of a high power SRM in the presence of a mounted fan at the rear of the motor are analyzed. The thermal analysis is performed for both of the air-cooled and liquid-cooled cooling systems to meet the cooling demands of the motor for the first time.

The analysis of multimedia content is being applied in various real-time computer vision applications. In multimedia content, digital images constitute a significant part. The representation of digital images interpreted by humans is subjective in nature and complex. Hence, searching for relevant images from the archives is difficult. Thus, electronic image analysis strategies have become effective tools in the process of image interpretation.

The traditional approach used is text-based, i.e. searching images using textual annotations. It consumes time in the manual process of annotating images and is difficult to reduce the dependency in textual annotations if the archive consists of large number of samples. Therefore, content-based image retrieval (CBIR) is adopted in which the high-level visuals of images are represented in terms of feature vectors, which contain numerical values. It is a commonly used approach to understand the content of query images in retrieving relevant images. Still, the performance is less than optimal due to the presence of semantic gap among the image content representation and human visual understanding perspective because of the image content photometric, geometric variations and occlusions in search environments.

The authors proposed an image retrieval framework to generate semantic response through the feature extraction with convolution network and optimization of extracted features using adaptive moment estimation algorithm towards enhancing the retrieval performance.

The proposed framework is tested on Corel-1k and ImageNet datasets resulted in an accuracy of 98 and 96%, respectively, compared to the state-of-the-art approaches.

The purpose of this paper is to identify various factors influencing additive manufacturing (AM) implementation from operational performance in the Indian manufacturing sector and to establish the hierarchical relationship among them.

The methodology includes three phases, namely, identification of factors through systematic literature review (SLR), interviews with experts to capture industry perspective of AM implementation factors and to develop the hierarchical model and classify it by deriving the interrelationship between the factors using interpretive structural modeling (ISM), followed with the fuzzy Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis.

This research has identified 14 key factors that influence the successful AM implementation in the Indian manufacturing sector. Based on the analysis, top management commitment is an essential factor with high driving power, which exaggerates other factors. Factors, namely, manufacturing flexibility, operational excellence and firm competitiveness are placed at the top level of the model, which indicates that they have less driving power and organizations need to focus on those factors after implementing the bottom-level factors.

Additional factors may be considered, which are important for AM implementation from different industry contexts. The variations from different industry contexts and geographical locations can foster the theoretical robustness of the model.

The proposed ISM model sets the directions for business managers in planning the operational strategies for addressing AM implementation issues in the Indian manufacturing sector. Also, competitive strategies may be framed by organizations based on the driving and dependence power of AM implementation factors.

This paper contributes by identification of AM implementation factors based on in-depth literature review as per SLR methodology and validation of these factors from a variety of industries and developing hierarchical model by integrative ISM-MICMAC approach.

The purpose of this paper is to develop a structural framework for factors influencing the creation of negative electronic word of mouth (WOM) at online forums, review portals, social networking sites or any other internet-based platform. Consumers frequently talk about consumption through WOM. With the unprecedented progress in digitalization of world, consumers usually tell stories about a product or service experience online. The study aims to identify the antecedents for negative electronic WOM (EWOM) and develop a structural model with different levels of factors.

Literature review and group judgment techniques are used to identify the factors responsible for negative WOM. The study uses interpretive structural modeling approach to develop a structural model representing interrelationships among factors. The model also represents the factors at different levels along with most and least dominant factors responsible for EWOM.

Seven factors responsible for negative electronic WOM are identified which are spread over three levels. First level of factors includes anxiety reduction, advice seeking, exertion of power (over companies) and social benefits (received), whereas the second level of factors includes altruism (negative WOM) and economic rewards. The most dominant factor identified is vengeance, which is at level three.

The study identified three levels of factors responsible for negative EWOM. Companies can strategies their resources to ensure that no consumer reaches beyond level one. Beyond level one, the involved factors may jeopardize the brand value and brand image of the company.

The study contributes to the literature by providing a structural model for negative EWOM. This model identifies the most and least dominant factors and guides managers to take necessary action to prevent negative EWOM.

The aim of this paper is to evaluate the significance of the link between corporate environmental and financial performance in order to show managers how an adequate management of environmental factors could contribute to the financial success of the firm.

The paper analyses the environmental and financial performance of a sample of 230 European companies. Under the stakeholder approach, the commitment to environmental performance is analysed and linked with the firms' financial improvement. The paper proposes a partial least squares model (PLS) for measuring corporate environmental and financial performance that seems to be the first time which has been applied in the field.

The results support the idea that enterprises which obtained higher rates of environmental performance show better financial performance levels in the future.

The lack of a long series of environmental performance data for organisations is an obstacle for a broader analysis. This research shows the usefulness of the multivariate modelling for analysing the environmental and financial performance of businesses.

In practice, this research may show managers the need of taking into account the environmental management factors when configuring the strategic policy of the firm and how environmental management can impact to the financial success of the firms.

The use of PLS modelling for measuring environmental and financial performance theoretical concepts and considering a sample of European companies for the empirical analysis.

Maintenance expenditures represent more than net profits of several manufacturing companies. Maintenance costs are easy to reduce in a year simply by deferring maintenance activities. Examines maintenance expenditures of US chemical companies from 1975 to 1991. Uses a nonlinear model based on seemingly unrelated regression analysis to identify various factors that influence the expenditures. Uses the ratios of maintenance spending to cost of property, plant and equipment, and buildings (gross plant), cost of property, plant and equipment, and buildings minus accumulated depreciation (net plant) and cost of goods sold as dependent variables. Shows that the age of property, plant and equipment, and buildings, company size, and return on assets have significant influence on the maintenance expenditures. The leverage ratios adversely affect the ratios of maintenance costs to gross plant and net plant.