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The main purpose of this study is to explore and validate the question “whether altmetric mentions can predict citations to scholarly articles”. The paper attempts to explore the nature and degree of correlation between altmetrics (from ResearchGate and three social media platforms) and citations.

A large size data sample of scholarly articles published from India for the year 2016 is obtained from the Web of Science database and the corresponding altmetric data are obtained from ResearchGate and three social media platforms (Twitter, Facebook and blog through Altmetric.com aggregator). Correlations are computed between early altmetric mentions and later citation counts, for data grouped in different disciplinary groups.

Results show that the correlation between altmetric mentions and citation counts are positive, but weak. Correlations are relatively higher in the case of data from ResearchGate as compared to the data from the three social media platforms. Further, significant disciplinary differences are observed in the degree of correlations between altmetrics and citations.

The results support the idea that altmetrics do not necessarily reflect the same kind of impact as citations. However, articles that get higher altmetric attention early may actually have a slight citation advantage. Further, altmetrics from academic social networks like ResearchGate are more correlated with citations, as compared to social media platforms.

The paper has novelty in two respects. First, it takes altmetric data for a window of about 1–1.5 years after the article publication and citation counts for a longer citation window of about 3–4 years after the publication of article. Second, it is one of the first studies to analyze data from the ResearchGate platform, a popular academic social network, to understand the type and degree of correlations.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2019-0364

An electrorheological (ER) fluid comprises dielectric particles suspended in an insulating viscous medium. ER lubricants are considered smart lubricants. They have been applied in hydraulic valves, power transmission devices and damping systems. The purpose of this study is to investigate the performance of hydrostatic thrust bearing operating with ER lubricant.

Reynold’s equation was used to model the flow of the ER lubricant in the bearing. The continuous Bingham model was used to express the viscosity of the ER lubricant as a function of yielding stress, applied electric field and shear strain rate. The Reynolds equation is solved using the finite element method (weighted residual approach) to compute the film pressure as a primary variable and the lubricant flow rate, load-carrying capacity, stiffness and damping parameters as associated performance indices.

The effects of the pocket shape, compensating elements and ER lubricant on the bearing performance were investigated. The application of ER lubricant significantly enhanced the load-carrying capacity (48.2%), stiffness (49.8%) and damping (4.95%) of the bearings. Circular and triangular pocket bearings with constant-flow valves have been reported to provide better steady-state and rotor-dynamic performances, respectively.

This study presents the effect of an ER lubricant on the rotor-dynamic performance of hydrostatic thrust bearings with different pocket shapes.

Cause-related marketing (CrM) through social campaigns is becoming one of the main strategic marketing tools for large businesses. The purpose of this study is to find out the significance of CrM for start-ups and to evaluate the moderating role of cause involvement of consumer on the impact of CrM campaigns on purchase intention of consumers.

Both structural equation modelling and hierarchical analysis were used to evaluate the responses of 1,425 male and female consumers in India towards CrM campaign.

The results revealed that the effect of CrM campaigns on purchase intention of consumers is significantly moderated by consumers’ cause involvement. Thus, companies must extend support to causes having high consumer involvement.

Based on their findings, the authors suggest finding out the effects of CrM on the long-term sustainability of the start-ups in more detail, especially in developing countries like India. The scope of this study is one country-based; thus, research findings may not be generalised.

Small businesses that are able to understand the needs of their own communities and recognise that through their efforts they can bring large impact on social issues and will see success through their socially responsible mindset. Society today needs businesses to support good causes. The best model of CrM, especially for start-ups, is the one in which while making a payment for a service or purchasing a product, the consumer is asked to make an additional payment for the social cause.

Society today needs businesses to support good causes. CrM campaigns provide consumers a chance to help the less fortunate and do so in regular and convenient ways. The study indicates the importance of both corporate citizenship and social responsibility among small businesses.

While the current results show that the majority of studies were based on large business, this paper shows that the CrM can be useful for start-ups, medium and small businesses also. The suggested model can be an innovative way to implement CrM without incurring any additional cost. The conclusions confirm within a wider context the role of cause involvement as a moderator of the purchase intention and can further assist start-ups and small-scale companies in designing better targeted CrM campaigns benefiting the society at large.

The porous bearings are commonly used in slider thrust bearings owing to their self-lubricating properties and cost effectiveness as compared to conventional hydrodynamic bearings. The purpose of this paper is to numerically investigate usefulness of porous layer in hydrostatic thrust bearing operating with magnetic fluid. The effect of magnetic field and permeability has been analysed on steady-state (film pressure, film reaction and lubricant flow rate) and rotor-dynamic (stiffness and damping) parameters of bearing.

Finite element approach is used to obtain numerical solution of flow governing equations (Magneto-hydrodynamics Reynolds equation, Darcy law and capillary equation) for computing abovementioned performance indices. Finite element method formulation converts elliptical Reynolds equation into set of algebraic equation that are solved using Gauss–Seidel method.

It has been reported that porosity has limited but adverse effects on performance parameters of bearing. The adverse effects of porosity can be minimized by using a circular pocket for achieving better steady-state response and an annular/elliptical pocket, for having better rotor-dynamic response. The use of magnetic fluid is found to be substantially enhancing the fluid film reaction (53%) and damping parameters (55%).

The present work recommends use of circular pocket for achieving better steady-state performance indices. However, annular and elliptical pockets should be preferred, when design criteria for the bearing are better rotor-dynamic performance.

This study deals with influence of magnetic fluid, porosity and pocket shape on rotor-dynamic performance of externally pressurized thrust bearing.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0289/

Purpose of this study is to design a compact gap coupled anchor shape patch antenna for wireless local area network/high performance radio local area network and worldwide interoperability for microwave access applications.

An anchor shape microstrip antenna is conceived, designed, simulated and measured. The anchor shape antenna is transformed to its rectangular equivalent by conserving the patch area. Modeling and simulation of the antenna is performed by Ansys high frequency structure simulator (HFSS) electromagnetic solver based on the concept of finite element method. The simulated results are experimentally verified by using Agilent E5071C vector network analyzer. Theoretical analysis of an electromagnetically gap coupled anchor shape microstrip patch antenna has been performed by obtaining the lumped element equivalent of the transformed antenna.

The proposed antenna has a compact conducting patch of dimension 0.26λ × 0.12λ mm² (λ is calculated at lower resonating frequency of 3.56 GHz) with impedance bandwidths of 100 and 140 MHz and antenna gains of 1.91 and 3.04 dB at lower resonating frequency of 3.56 GHz and upper resonating frequency of 5.4 GHz, with omni-directional radiation pattern.

In literature, one does not encounter anchor shape antenna using the concept of gap coupling and parasitic patches. The design has been optimized for wireless local area network/worldwide interoperability for microwave access applications with a relatively low patch area (291.12 mm²) as compared to other reported antennas for wireless local area network/worldwide interoperability for microwave access applications. Transformed antenna and the actual experimental antenna behavior varies, but the resonant frequencies of the transformed antenna as observed by theoretical analysis and simulated results (by high frequency structure simulator) are reasonably close, and the percentage difference between the resonant frequencies (both at lower and upper bands) is within the permissible limit of 1-2.5 per cent. Results confirm the theoretical proposition of transformation of shapes in antenna design, which allows a designer to adapt the design shape according to the application.

This study focuses on Aaker's Brand Equity Model, to check the effect of brand equity determinants on booking intention (BI) for ridesharing in India. The study also explores the moderation of ecologically conscious consumer behavior (ECCB) on the multiplicative effect of brand awareness (BAw), brand association (BA) and perceived quality (PQ) in influencing the BI.

Responses from 393 Indian ridesharing users were collected using judgmental sampling and were analyzed using Hayes Process macro.

The study found a direct relationship between BAw and BI, BAw and BA, BAw and PQ, BA and PQ, PQ and BI, and BA and BI. Findings revealed mediation of BA in BAw and BI relationship and PQ in BAw and BI relationship. Results revealed that BA and PQ serially mediate BAw and BI relationship. ECCB moderates PQ and BI relationship but not BAw and BI relationship.

Serial mediation and moderated-mediation results draw various theoretical implications for determinants of Aaker's Brand Equity model and ECCB.

The research has several implications for managers in view of brand equity determinants and ECCB. The study also contributes to policy implications.

Study's novel contributions are mediation, serial mediation between brand equity determinants, and moderation of ECCB between BAw and BI for ridesharing.

Additive manufacturing (AM) promises to reduce the weight of the component, it is required to be shown that the mechanical performance of AM parts meets stringent industrial design criteria. Very few studies are made on finite element analysis (FEA) of the component produced by AM for real-life workload conditions. This study is supposed to do FEA of the wheel hub, manufactured using metal three-dimensional (3D) printing, under static multi-load conditions and effect of infill pattern on maximum stress, deformation and factor of safety.

This study conducted FEA on wheel-hub using Ansys. The approach of Orthotropic properties is used to do static analysis of wheel-hub and compared results of different metal 3D printing material (Ti-6Al-4V and Al-Si10-Mg) with hexagonal and triangular infill patterns.

Ti-6Al-4V with Honeycomb patterns shows better results in all cases and can be replaced with standard conventional material.

Because of the chosen research approach, the research results may lack generalisability. Therefore, it is required to do an experimental study.

Metal components with applications across the automobile industry can be manufactured using AM technology. With the help of AM, components with high strength to weight ratio can be manufactured.

This paper fulfils the identified need of FEA of the component produced by AM for real-life workload conditions. This study is supposed to do FEA of the wheel hub, manufactured using metal 3D printing, under static multi-load conditions and Effect of infill pattern on maximum stress, deformation and factor of safety.

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.

Energy supply delivered via various energy projects is an important aspect of energy security for India. Managing supply through various capacity additions for providing continuous electricity 24×7 by 2019 is a significant challenge for the country. In this context, there is a need to assess the present situation of energy generation from the traditional energy projects that are being installed for the purpose of capacity addition. Thus, the purpose of this paper is to develop an inquiry model based on situation-actor-process (SAP), learning-action-performance (LAP) for the Indian energy and power sectors to analyze the status of the supply side of energy security.

A SAP-LAP model is used to synthesize the situations of both the energy and power sectors. For both systems, inquiry- and matrices-based SAP-LAP models have been considered for this purpose. The situation is presented for various issues related to the execution of different types of energy projects. Actors in these sectors are classified by those who are responsible and engaged in the execution of various energy projects. For demonstration purposes, only a thermal energy project is highlighted in this case study. Based on the synthesis of SAP elements, various LAP elements are analyzed which leads to lessons that may be learnt from the case. Suitable actions are identified, followed by an assessment of their impact on the performance of the energy projects.

By developing a framework for a SAP-LAP model for the assessment of energy security, it was found that both sectors need more investment for their sustainable growth and that the actors identified should be proactive in their decision making. Decision making should be based on the sustainable management practices of life cycle management and life cycle costing for the better utilization of energy resources to strengthen overall energy security.

The SAP-LAP analysis is used to explain the supply side of energy security in a managerial context, as applied in the case of the Indian energy and power sectors. However, some other quantitative multiple-criteria decision-making techniques like the preference ranking organization method for enrichment of evaluations, the complex proportional assessment of alternatives, the analytic hierarchy process or qualitative interactions assessment techniques such as interpretive structural modeling (ISM), total interpretive structural modeling (TISM) or the interpretive ranking process can also be explored for the development of an energy security framework.

The synthesis of SAP leads to LAP, which bridges the gap by suggesting improvement actions based on learning from the present situation of power supply, from actors in the industry and from existing processes. The model presents the situation of energy security in terms of the timely execution of energy projects and their impacts on the gross domestic product of the country.

The framework for learning can provide information to the various stakeholders, investors and sector organizations inquiring about various issues related to energy projects and supporting the idea for energy security and sustainability.

The SAP-LAP model is a novel approach for analyzing the present status of energy supply performance in a single model, which can act as the support for decision making in conflicting situations, specifically the conflicting nature of the Indian energy and power sectors.

Software testing is needed to produce extremely reliable software products. A crucial decision problem that the software developer encounters is to ascertain when to terminate the testing process and when to release the software system in the market. With the growing need to deliver quality software, the critical assessment of reliability, cost of testing and release time strategy is requisite for project managers. This study seeks to examine the reliability of the software system by proposing a generalized testing coverage-based software reliability growth model (SRGM) that incorporates the effect of testing efforts and change point. Moreover, the strategic software time-to-market policy based on costreliability criteria is suggested.

The fault detection process is modeled as a composite function of testing coverage, testing efforts and the continuation time of the testing process. Also, to assimilate factual scenarios, the current research exhibits the influence of software users refer as reporters in the fault detection process. Thus, this study models the reliability growth phenomenon by integrating the number of reporters and the number of instructions executed in the field environment. Besides, it is presumed that the managers release the software early to capture maximum market share and continue the testing process for an added period in the user environment. The multiattribute utility theory (MAUT) is applied to solve the optimization model with release time and testing termination time as two decision variables.

The practical applicability and performance of the proposed methodology are demonstrated through real-life software failure data. The findings of the empirical analysis have shown the superiority of the present study as compared to conventional approaches.

This study is the first attempt to assimilate testing coverage phenomenon in joint optimization of software time to market and testing duration.