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This article initially aims to explore the factors of every quality construct of the 5Qs model of service quality and, second, identify the significant factors affecting the total quality of e-healthcare services and its association with consumer satisfaction using a multidimensional hierarchical 5Qs model of e-healthcare service quality.

Questionnaire-oriented research was performed at three public hospitals of Punjab and Chandigarh. In total, 53 variables were covered in all quality constructs for data collection from the designated public hospitals. The respondents who agreed to have knowledge regarding e-Healthcare services and were availing these services were included in the study. The analysis comprised structural equation modeling technique using AMOS 21.

The outcomes suggest that the 5Qs model is more comprehensive and can be used to evaluate service quality perceptions using e-Healthcare services. The research identified 11 sub-dimensions for the five quality constructs of the 5Qs model, representing total quality, which is primary to consumer satisfaction. “Overall objectivity” and “technical objectivity” defined the quality of object. The quality of process of e-Healthcare services was characterized by “functionality,” “timeliness” and “responsiveness.” Quality of infrastructure was defined by “technical infrastructure,” “physical infrastructure,” “manpower skills” and “organizational infrastructure.” “Manner of interaction” and “timely interaction” defined the quality of interaction. The atmosphere was represented by only one factor. The results also suggest that quality of infrastructure, quality of interaction and quality of atmosphere play the most significant role in total quality leading to consumer satisfaction.

Theoretical implications: The multidimensional hierarchical model will help the researchers study the e-Healthcare service quality in a more organized manner, and the outcomes of this study can be linked with that of future studies for more generalized application in other public hospitals. The sub-dimensions of each quality construct of the 5Qs model can be applied in private hospitals, and the hierarchical model can be tested in different industries to measure service quality perceptions of the consumer

The outcomes of the study can be applied in various public sector hospitals to redesign the e-Healthcare services based on consumers' perception for better consumer satisfaction and quality services. This paper identifies the role of each quality construct in e-Healthcare services for improvement in the total quality, which in turn will lead to higher satisfaction for the consumers.

In this study, the original 5Qs model has been used for the first time in a new instrument to understand better and design quality e-Healthcare services. The paper explores the sub-factors of each quality construct and its significance in measuring the total quality.

Taking an evidence from social exchange theory, this research examines the mediating role of affective commitment in the correlation between internal branding, employee engagement and job satisfaction. The moderating role of work environment on the link between internal branding and affective commitment is also studied in this research.

The data were collected by using well-structured research measures from 215 employees working in the BPO sector of India (Punjab and Chandigarh). The hypotheses were developed, and the conceptual model was validated by applying structural equation modeling. The data were analyzed by using two statistical packages, namely SPSS and AMOS.

The findings suggest that internal branding has a significant positive relationship with employee engagement, job satisfaction and affective commitment. The mediating effect of affective commitment on the relationship between internal branding and employee engagement was full, whereas on the relationship between internal branding and job satisfaction, it was partial. Work environment also moderated the relationship of internal branding with affective commitment.

The current study offers significant lessons to management thinkers, human resource (HR), organizational branding and marketing manager. However, BPO sector should be aware about the critical role played by internal branding to enhance affective commitment, employee engagement and job satisfaction of the employees. The role of affective commitment is also taken into account to study the effect of internal branding on employee engagement and employee's job satisfaction. For itself, internal branding cannot be considered as in isolation and is doubtful to be efficacious if the work environment is not encouraging to an employee as well as to the brand values.

This study offers significant lessons to management thinkers, HR, organizational branding and marketing manager. However, BPO sector should be aware about the critical role played by internal branding to enhance employee engagement, job satisfaction and affective commitment of the employees. An important role of affective commitment is also taken into account to study the effect of internal branding on employee engagement and employee's job satisfaction. For itself, internal branding cannot be considered as in isolation and is doubtful to be efficacious if employees are not provided an encouraging work environment.

Existing researches on internal branding are theoretical in nature and overlook the empirical impact of internal branding on employee engagement, job satisfaction and affective commitment from the BPO employees' perspective. The study also offers an empirical examination of potential mediator and moderator for internal branding.

Use of technology for quality healthcare services has developed into a new field known as “e-Healthcare services.” Healthcare providers often judge their quality of services with consumer satisfaction. With e-Healthcare services, consumer satisfaction is influenced by the quality of healthcare services provided and the demographic characteristics. The purpose of the present case study is to recognize the important predictors of quality, which are significant for consumer satisfaction with e-Healthcare services by using Zineldin's 5Qs model. It also aims to find the strength of association among the predictors of consumer satisfaction and the demographic characteristics of the respondents.

A questionnaire-based study was conducted at a public (PGIMER, Chandigarh) and a private hospital (Fortis Hospital, Mohali) of Punjab, India, from February 2018 to March 2019. The structured, closed-ended questionnaire, to be marked on a 1–5 point Likert scale, was adapted from Zineldin's 5Qs model and was distributed to the respondents sitting in the waiting halls of the selected hospitals. The respondents comprised of both the patients and their attendants who were aware of e-Healthcare services and were using them.

The analysis identified quality of interaction, quality of hospital atmosphere and quality of object to be the key predictors of consumer satisfaction with e-Healthcare services. The results reveal a strong association between different demographic characteristics and overall consumer satisfaction with e-Healthcare services.

The results suggest that improvements in the quality of interaction, quality of hospital atmosphere and quality of object may result in higher consumer satisfaction with e-Healthcare services. Working on the identified dimensions of quality will help the e-Healthcare providers in identifying functional problems of e-Healthcare services and developing improvement strategies, which will also result in better health and quality outcomes. The results of this study will help the e-Healthcare providers in better segmentation of e-Healthcare consumers based on their demographic characteristics and in developing better marketing strategies.

This paper focuses on the quality of e-Healthcare services only and attempts to identify the quality dimensions, which leads to the satisfaction of e-Healthcare consumers. The identified quality dimensions will help in designing better e-Healthcare services and framing policies. It also highlights the association of demographic characteristics with important quality dimensions.

This study aims to explore the different dimensions of e-healthcare ethics and their relationships, influencing the ethical concerns of the consumer in making ethical e-healthcare choices.

A study was conducted at two identified major hospitals of Punjab (a private hospital) and Chandigarh (a public hospital), India providing e-healthcare services with the help of a self-administered questionnaire. The respondents were identified from the waiting areas of the selected hospitals, and only those respondents were selected for the study, who agreed to be aware of e-health services and were using them for some time. The statistical analysis was done using the structural equation modeling technique and included both exploratory and confirmatory factor analysis using SPSS 20 and AMOS 21.

Exploratory factor analysis extracted five dimensions of ethical concerns of the consumer, which include service promotion, content quality, candor, professionalism and confidentiality. The results signify that content quality plays a significant role in ethics, followed by candor, service promotion and confidentiality. However, the relationship with professionalism did not prove to be significant for the ethical concerns of the e-health consumer.

This research delivers a practical significance in identifying the critical dimensions of the ethical concerns of the consumer while selecting e-health services. It gives an insight into the various dimensions, which should be considered by the e-health providers while crafting e-health services to make it more ethically acceptable by the consumers.

By using e-health services, consumers play an active role in their health-care decisions. The consumers need to consider ethics while choosing health-care services as an ethical judgment will also be the correct judgment. This study helps in the identification of the significant dimensions for the ethical concerns of the consumers.

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.

The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.

The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.

This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.

The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector

Voice assistants can present search results through “voice presentation” or “voice and visual”, depending on the device they are connected to. Alternatively, consumers can search for products manually using the online website. Despite the critical role of presentation formats in helping consumers understand and decide on products, this area remains vastly unexplored, particularly the combined use of voice and visual formats. Thus, to understand which presentation format suits different products, we delve into consumer search behaviour, distinguishing between low and high-involvement products.

A between-subjects factorial experimental design was used to examine the influence of 3 presentation formats (voice only, visual only and voice and visual) and 2 product involvement levels (low and high) on consumer trust, usefulness and behavioural intentions.

The results confirm a significant interaction between presentation format and product involvement, highlighting consumers' preference for voice presentation in low-involvement products, while a combination of “voice and visual” is preferred for high-involvement products.

The study shows that both presentation format and product involvement affect the trust and usefulness of voice assistants, which further influences consumers’ behavioural intentions. The key finding contributes to the growing body of knowledge of consumer and voice assistant interaction and offers guidance to managers on the use of voice assistants for their customers.

Safety analysis has been done for thermal non-homogeneous thick-walled circular cylinder under internal and external pressure. The paper aims to discuss these issues.

Transition theory based on the concept of generalized principal Lebesgue strain measure has been used which simplifies the constitutive equations by prescribing a priory the order of the measure of deformation and helps to achieve better agreement between the theoretical and experimental results.

From the analysis, the paper can conclude that by introducing a suitably chosen temperature gradient, non-homogeneous compressible circular cylinder with internal and external pressure for non-linear measure is on the safer side of the design as compared to the cylinder without temperature because circumferential stresses are less for cylinder with temperature as compared to cylinder without temperature.

Introduction of temperature gradient leads to the idea of “Stress Saving” and minimizing the possibility of fracture of cylinder.

The paper shows that circumferential stresses are less for cylinder with temperature gradient as compared to cylinder at constant temperature, which leads to the idea of “Stress Saving” and minimizing the possibility of fracture of cylinder.

Performance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.

This research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).

“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.

In this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.

By using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.

The purpose of this paper is to study the fundamental solution in transversely isotropic micropolar thermoelastic media. With this objective, the two-dimensional general solution in transversely isotropic thermoelastic media is derived.

On the basis of the general solution, the fundamental solution for a steady point heat source on the surface of a semi-infinite transversely isotropic micropolar thermoelastic material is constructed by six newly introduced harmonic functions.

The components of displacement, stress, temperature distribution and couple stress are expressed in terms of elementary functions. From the present investigation, a special case of interest is also deduced and compared with the previous results obtained.

Fundamental solutions can be used to construct many analytical solutions of practical problems when boundary conditions are imposed. They are essential in the boundary element method as well as the study of cracks, defects and inclusions.

Fundamental solutions for a steady point heat source acting on the surface of a micropolar thermoelastic material is obtained by seven newly introduced harmonic functions. From the present investigation, some special cases of interest are also deduced.

Heightened public concerns for the global environment due to human overexploitation have given rise to many green product initiatives by businesses. Green cosmetics (GC) are products developed and marketed based on ecological sustainability and have shown increasing consumer appeal worldwide. The current research investigates the antecedents of green cosmetics consumption among Indian GC users, hitherto un-investigated comprehensively.

The study is a cross-sectional pairwise comparison of green evaluation criteria for cosmetics using an expert panel of thirty Indian cosmetic users using a fuzzy analytic hierarchy process (F-AHP) and investigate the impact of a comprehensive list of antecedents on the multi-criteria category consumption decision.

The study results indicate that perceived consumer effectiveness is the most critical factor for green cosmetics consumption in India, followed by brand trust, behavioural control, and environmental effectiveness. The least important factors are price and social norms.

As the GC category is at nascent stage in India the investigation is limited to the GC category innovators – a set of people high in intellectual and financial resources. The study is also limited to women users as the male cosmetic market in the country is still very small.

The study results can help marketers in designing and implementing GC related marketing strategies to deliver higher customer value to the target segment. Academicians can use the study results for better prediction of category related behaviour of consumers.

The study results will help promote GC category adoption and usage which can benefit the environment and consumer health.

The study contributes to literature and practice by assessing a comprehensive set of critical antecedents to GC adoption using a novel approach of F-AHP and an expert user panel. The study results offer insights to marketers that can be used to develop suitable strategies to convert non-GC users into GCs in India and similar markets, improving category penetration and benefitting marketers, retailers, users, and the environment.