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With increased globalization, Indian universities are struggling to attract and retain talented academics and are exploring the ways to enhance their service performance and brand image (BI). However, there is a paucity of studies that view universities through the corporate lens. Therefore, the purpose of this paper is to examine the mediating role of innovativeness in the relationships of creativity, risk taking (RT), and performance in service delivery (PSD). Another objective is to find out how this nexus affects universities’ BI.

Responses were collected from 280 academics working for different Indian universities. Structural analysis was performed to examine the relationships under investigation.

The results indicate that innovativeness fully mediates the positive RT – PSD relationship and that PSD positively influences BI.

The findings of this study mainly augment the theory of BI by empirically linking BI and its antecedents in the context of Indian universities.

For enhancing a university’s BI, management is encouraged to promote RT work culture along with innovative and creative teaching methods.

This study is one of the few studies in India that see academia through the corporate lens. Also, it provides evidence for the importance innovativeness in enhancing BI of a university.

In this paper, the prior research on virtual teams was reviewed to assess the state of the literature. The purpose of this paper is to determine why individuals prefer working in virtual teams (also termed liquid workers and part-time workers). Previous researchers have focussed on the benefits that organizations receive if they hire liquid workers, but to date, no research has been conducted to determine the perspective of these liquid workers. The various definitions of virtual teams are discussed and an integrative definition is proposed that suggests all teams may be defined in terms of their extent of virtualness.

A systematic review of the literature on virtual teams was conducted. The data were collected from 12 informants. A thematic analysis was used to analyse the data.

Six main themes were identified, namely, pliability, opportunities, increased earnings, vigour, family and transportation.

This study was conducted in a three-metropolitan city in India and warrants being extended to rural and international settings to gain additional insights and confirmation of the research findings.

It is suggested that organizations who recruit liquid workers will be in a position for substantial cost savings; this is because organizations usually make payment of liquid workers’ wages on an hourly basis. This will help the organizations to schedule the number of working hours depending on their needs.

The current study is novel as there is a paucity of research in identifying the factors behind working in the virtual community in India. This study presents the first research of its kind to the best knowledge of the author, and the findings will be valuable for companies who are looking for cost savings.

The purpose of this paper is to check for the effects of brand familiarity, customer brand engagement and self-identification on word-of-mouth (WOM) communication.

A systematic review of the literature regarding brand familiarity and customer brand engagement CBE) was conducted and data were analyzed using structural equation modeling.

The results revealed that brand familiarity had a positive impact on CBE; self-identification also had a positive impact on WOM communication.

The model was tested in the context of service sector; future research may investigate in different context.

The framework advances insight into customer engagement and service dominant logic, which, despite having been recognized for their significant theoretical fit, have remained largely disparate in the literature.

This study is among the first few attempts to examine the impact of brand familiarity on different dimensions, namely, cognitive, affective and activation dimensions of CBE. This study contributes to a more detailed description of the brand familiarity construct and improves understanding of WOM communication. The study provides implications for practitioners and marketers.

The purpose of this research study is to explore simple collaborative technique for teaching mathematics and thus improving the problem solving skills of the students. Better pedagogic activities are required to motivate the students to perceive mathematics as a subject that stimulates problem-solving skills required for engineers.

This paper presents a research study on the application of technology-supported collaborative learning in improving the problem-solving skills of first-year engineering students in a mathematics course. The experiment was conducted in a mathematics course “Engineering Calculus” with 286 first-year engineering students in two groups: experimental group (N = 60) and controlled group (N = 226). The academic performance of the students was measured and analyzed with statistical techniques.

From the results obtained, it was found that the academic performance of the experimental group was better than the controlled group. Also, interest shown by the students in the topic that dealt with collaborative learning was more than in other topics taught using conventional teaching methods.

The teachers are required to find effective pedagogical activities to improve the problem-solving skills in mathematics. The research work proposes a collaborative method in mathematics for attaining higher cognitive level in an entry level engineering course. The limitation of this study lies in group formation techniques and the grading policy which deals only with individual assessment scores.

Practice of collaborative learning is made easy with simple technology. A clear strategy for the conduct of collaborative learning sessions has been presented. The solutions recommended are practically feasible and does not require any special infrastructure or specific training.

Using technology in mathematics teaching may not be very easy for all teachers. Especially, for an undergraduate engineering fresher, mathematics may not be a very easy task. This work shall bridge the gap with simple technology-assisted collaborative learning. The teachers need not spend too much time and effort in learning technology for mathematics teaching. The effect of this learning is significant in terms of the performance and satisfaction evaluation.

This work presents a systematic implementation of collaborative learning that shall result in improved problem-solving skills and engaging learning sessions. The statistical analysis methods and the visualization of obtained results shall help in understanding the implications of the presented work. Practice of collaborative learning is made easy with simple technology. The solutions recommended are practically feasible and does not require any special infrastructure or specific training.

The purpose of this paper is to design an Internet-of-Things (IoT) architecture-based Diabetic Retinopathy Detection Scheme (DRDS) proposed for identifying Type-I or Type-II diabetes and to specifically advise the Type-II diabetic patients about the possibility of vision loss.

The proposed DRDS includes the benefits of automatic calculation of clip limit parameters and sub-window for making the detection process completely adaptive. It uses the advantages of extended 5 × 5 Sobels operator for estimating the maximum edges determined through the convolution of 24 pixels with eight templates to achieve 24 outputs corresponding to individual pixels for finding the maximum magnitude. It enhances the probability of connecting pixels in the vascular map with its closely located neighbourhood points in the fundus images. Then, the spatial information and kernel of the neighbourhood pixels are integrated through the Robust Semi-supervised Kernelized Fuzzy Local information C-Means Clustering (RSKFL-CMC) method to attain significant clustering process.

The results of the proposed DRDS architecture confirm the predominance in terms of accuracy, specificity and sensitivity. The proposed DRDS technique facilitates superior performance at an average of 99.64% accuracy, 76.84% sensitivity and 99.93% specificity.

DRDS is proposed as a comfortable, pain-free and harmless diagnosis system using the merits of Dexcom G4 Plantinum sensors for estimating blood glucose level in diabetic patients. It uses the merits of RSKFL-CMC method to estimate the spatial information and kernel of the neighborhood pixels for attaining significant clustering process.

The IoT architecture comprises of the application layer that inherits the DR application enabled Graphical User Interface (GUI) which is combined for processing of fundus images by using MATLAB applications. This layer aids the patients in storing the capture fundus images in the database for future diagnosis.

This proposed DRDS method plays a vital role in the detection of DR and categorization based on the intensity of disease into severe, moderate and mild grades. The proposed DRDS is responsible for preventing vision loss of diabetic Type-II patients by accurate and potential detection achieved through the utilization of IoT architecture.

The performance of the proposed scheme with the benchmarked approaches of the literature is implemented using MATLAB R2010a. The complete evaluations of the proposed scheme are conducted using HRF, REVIEW, STARE and DRIVE data sets with subjective quantification provided by the experts for the purpose of potential retinal blood vessel segmentation.

Despite favourable agro-ecological conditions and being the largest international mango producer, India still struggles to build competence in sustainable mango production and post-harvest. The purpose of this paper is to contribute to the literature on innovation capacity development, and to explore aspects of innovation systems ideas in the analysis of mango production and marketing by small-scale farmers in the South Indian state of Andhra Pradesh.

This paper uses case study research methods to an analysis of the sector ' s recent history combined with an empirical account of systems thinking on integrating technology supply chains and commodity supply chains.

Findings suggest that the case of mango production and post-harvest in the Krishna district is a dismal one and the remedial actions to strengthen mango innovation systems in the district relate to aspects of capacity development to promote upward spiral of learning and innovation, and involve multistakeholder processes to integrate the supply chains of technologyand commodity.

This paper, with its aim to contribute to the literature on innovation capacity development, brings together conventionally distinct bodies of literature on strengthening innovation systems and developing stakeholder capacity. The value of this paper lies on how it addresses technology supply and commodity supply issues in the analysis of competence challenges to strengthening mango innovation systems performance.