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The demand for aluminium alloys has been increasing in almost all the fields. In this study, the friction stir welding (FSW) of similar aluminium alloy AA 8011-h14 has been presented using three levels of tool rotational speed (n), tool tilt angle (ϴ) and tool feed (f). The purpose of this paper is to study the effect of welding parameters on various properties and time-temperature plots.

FSW was carried out using the L-9 orthogonal array of welding parameters generated using the Taguchi approach. Visual inspection and radiography testing were conducted to detect the surface and volume defects, respectively. Taguchi analysis was carried out to get optimised welding parameters for tensile testing. The microstructural analysis was carried out for the specimen possessing maximum tensile strength and the obtained grain structures were compared with the microstructure results of the base material. The peak process temperatures were noted and time-temperature plots were analysed for the varying parameters. The maximum value of hardness was recorded and analysed.

Visual inspection and radiography testing confirmed defect-free joints. The maximum tensile strength achieved was 84.44 MPa with 64.95 per cent efficiency. The optimised parameters obtained using Taguchi analysis for tensile testing were 1,500 rpm, 1° and 50 mm/min. Microstructure analysis for the specimen possessing maximum tensile strength revealed fine and equiaxed grains in the nugget zone. Time-temperature plots suggested the maximum temperature of 389 °C on the advancing side. A maximum hardness value of 36.4 HV was obtained in the nugget zone.

As per the knowledge of the authors, this study is the first attempt for the detailed experimental analysis on the FSW of this particular aluminium alloy AA 8011-h14.

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.

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.

In the context of new workplace environment, this study aims to study and generate insights about artificial intelligence (AI) adoption in hiring process of firms. It is very relevant when AI is dramatically reshaping hiring function in the changing scenario.

The objectives are achieved with the help of three studies involving Delphi method to explore the criteria for AI adoption decision. Followed by two multi criteria decision-making techniques, i.e. analytic hierarchy process to identify weights of the criteria and fuzzy technique for order preference by similarity to ideal solution to assess the extent of AI adoption in hiring.

The findings reveal that information security and return on investment are considered two very important criteria by human resources managers while contemplating the adoption of AI in hiring process. It was found that AI adoption will be suitable at the sourcing and initial screening stages of hiring. And the suitability of the hiring stage where AI can be applied has been found to have changed from before and after the onset of COVID-19 pandemic situation. The findings and its discussion assist and enhance better decisions about AI adoption in hiring processes of firms amid changing scenario – external and internal to a firm.

Findings also highlight research implications for future research studies in this emerging area.

Results act as a starting point for other human resources managers, who are still pondering over the idea of adopting AI in hiring in future.

This paper through a systematic approach contributes by identifying important evaluation criteria influencing AI adoption in firms and extent of its application in the stages of hiring. It makes a substantial contribution to the under-developed yet emerging paradigm of AI based hiring in practice and research.

Despite similarities, research across family business and business advising forwards contradictory conclusions when considering family business advising. The authors seek to integrate these literature and in doing so uncover both the hurdles facing family business advisors attempting to adapt tools developed in corporate advising to the family business context as well as the potential for greater integration of these streams in ways that contribute to both family business and advising research and practice.

Primary data were collected both in the form of a survey questionnaire and website marketing content. In the survey, 47 family business advisors evaluated the distinctiveness of their family business clients across structural, cognitive and relational social capital dimensions. Motivated by unexpected findings, a content analysis of advisor websites uncovered specific marketing themes that illustrate the divides between family business advising and scholarship.

Family business advisors reliably acknowledge structural and cognitive social capital as preeminently characterizing the distinctiveness of their family business clients. Expanding on this, the authors’ findings suggest that the urgency signaled in advisor marketing via their websites may inspire tactics misaligned with the long-term time horizon typically characterizing family businesses strategy.

The few family business advising studies that exist predominantly consider post-hoc evaluation of advising by family business clients. The primary data the authors collect are unique in the literature in that the data detail how family business advisors perceive and engage with potential clients.

Investment decisions hold immense significance for investors and eventually affect their portfolio performance. Investors are advised to weigh the costs and benefits associated with every decision in order to make rational investment decisions. However, behavioral finance research reveals that investors' choices often stem from a blend of economic, psychological and sociological factors, leading to irrationality. Moreover, environmental, social and corporate governance (ESG) factors, aligned with behavioral finance hypotheses, also sway opinions and stock prices. Hence, this study aims to identify how individual equity investors prioritize key determinants of investment decisions in the Indian stock market.

The current research gathered data from 391 individual equity investors through a structured questionnaire. Thereafter, a fuzzy analytic hierarchy process (F-AHP) was used to meet the purpose of the research.

Information availability, representative heuristics belonging to psychological factors and macroeconomic indicators falling under economic factors were discovered to be the three most prioritized criteria, whereas environmental issues within the realm of ESG factors, recommendations of brokers or investment consultants of sociological factors, and social issues belonging to ESG factors were found to be the least prioritized criteria, respectively.

Only active and experienced individual equity investors were surveyed in this study. Furthermore, with a sample size of 391 participants, the study was confined to individual equity investors in one nation, India.

This research has implications for individual investors, institutional investors, market regulators, corporations, financial advisors, portfolio managers, policymakers and society as a whole.

To the best of the authors' knowledge, no real attempt has been made to comprehend how active and experienced individual investors prioritize critical determinants of investment decisions by taking economic, psychological, sociological and ESG factors collectively under consideration.

The subject areas are business communication, human resource management and health care.

The case was designed for use in a first-year MBA-level course in business communication but would serve well in a course for executives or for advanced undergraduates. It might also be assigned in general management courses to evoke discussion on communication skills required in sensitive and critical situations; human resource courses; and course on health care.

Palliative care is a specialized medical care focussing on improving the quality of life of patients suffering from life-threatening illnesses. It addresses symptom management and psychosocial and spiritual concerns of the patient and its caregivers. With the intent to alleviate the sufferings of terminally ill patients, Rajbala Foundation, a non-government organization (NGO), works at the psychosocial and spiritual levels. While training their volunteers in effective palliative care communication, it often encounters challenges such as socio-cultural variations, organizational challenges, appropriate verbal and nonverbal communication, etc. This teaching case focuses on the communication challenges faced by the volunteers of Rajbala Foundation. It would lead to a broader discussion on communicating empathically during critical situations. The case has a focus on NGOs, and non-profit organizations, public sector management, health-care management and human resources management. There is significant literature on communication skills for medical practitioners in palliative care. As an increasing number of NGOs step in to provide the second level of care to critically ill patients in non-physical domains, there is a need to understand the role of effective communication for such care providers. This case deals with non-medical care providers in palliative care; the issues of communication they face as they interact with patients; and the skills they require to address the emotional and spiritual needs of patients and their families.

The aim of this case is to raise awareness of the complexities involved in the communication process during an emotional and sensitive interaction. It aims to encourage volunteers involved in palliative care to reflect on good communication practices when communicating with patients and family members. After reading this case, the students should be able to discuss the complexities involved in the communication process when communicating in situations with high emotional involvement; understand the core elements of emotional interactions for effective practice; and emphasize the need for the development of communication skills within palliative care.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 6: Human Resource Management

This paper aims to investigate the impact of financial anxiety and convenience on the relation between cashier-less versus traditional checkouts and purchase intentions among Saudi Arabian consumers.

In an online experiment, 329 Saudi participants were randomly assigned to one of two checkout conditions (traditional vs. AI-enabled) in a between-subjects design and indicated their financial anxiety. Through moderation-of-process design, the authors examine and showcase that the effect of convenience leads to higher purchase intent for AI-enabled checkouts. Moreover, the authors examine financial anxiety as an underlying mechanism and show that for high-convenience consumers, this enacts higher purchase intent.

The effect of AI-enabled checkouts depends on consumers' convenience perception. High-convenience consumers prefer AI-enabled checkouts over traditional ones, whereas low-convenience consumers are indifferent. Based on the Roy adaptation model theoretical framework, this occurs because high-convenience consumers experience greater financial anxiety when using AI-enabled checkouts, which in turn leads to higher purchase intent.

To the authors’ knowledge, this is the first study to explore the reactions of Saudi Arabian consumers toward cashier-less stores versus traditional stores. Interestingly, their intent to purchase increases, due to the financial anxiety they experience while encountering AI-enabled transactions. Due to the limited research of retailers going cashier less, little is known about consumer reactions and how they may differ culturally.

The COVID-19 pandemic brought uncertain working patterns in a volatile, uncertain, complex and ambiguous world wherein unleashing power of knowledge became prototypical for real-time decision-making capacity of organizational workforce. Drawing from Vroom’s expectancy theory, this study aims to investigate whether shared leadership (SL) mediates the impact of perceived fairness of rewards (PFR) on knowledge capitalization (KC).

A survey of 484 employees in the Indian real estate industry was completed in two phases. Confirmatory factor analysis and structured equation model were applied for analysis and hypothesis testing.

PFR positively affected employee’s KC in Indian real estate industry. Also, SL partially mediated the effect of PFR on KC.

This study indicates the positive impact of PFR on employees’ KC and demonstrates position of SL for boosting its occurrence in organizations.

To the best of the authors’ knowledge, this paper is the first to investigate the mediating role of SL between relationship of PFR and KC of employees.