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This study aims to analyze the dynamic performance of aerostatic thrust bearing for different geometries of recess. Different geometries of recess of equal recess area, i.e. circular, elliptical, rectangular and annular, have been considered in analysis. The work also analyzes the influence of tilt angle on the performance of thrust bearing. To compute the unknown pressure field, the Reynolds equation governing the flow of compressible lubricant (air) has been solved using finite element formulation. Further, separate finite element formulations have been carried out to compute fluid film stiffness and damping coefficients directly. This method provides quick computation of stiffness and damping coefficients of aerostatic thrust bearing than the usual approach.

As the Reynolds equation governing the flow of compressible lubricant is nonlinear partial differential equation, the computation of the stiffness and damping coefficient follows an iterative procedure. It requires a lot of computational energy. Therefore, in the present work, a novel technique based on finite element formulation is suggested to compute air film stiffness and damping coefficient in aerostatic thrust bearing.

A novel technique based on finite element formulation is illustrated to simulate the performance of tilted pad aerostatic thrust bearing. On the basis of simulated results, following key conclusions may be drawn. The static and dynamic performance of a circular aerostatic tilted thrust pad bearing is significantly affected with a change in the value of tilt parameter and the shape of the recess.

Implications are as follows: direct computation of air film damping coefficient is performed without perturbation method in finite element method (FEM); influence of tilt on aerostatic thrust bearing is studied; influence of recess shape on aerostatic thrust bearing is observed; and finite element formulation of aerostatic thrust bearing is performed.

The present work will be quite useful for bearing designer and academicians.

This study aims to identify the product attributes that influence customer satisfaction related to AI-enabled products with a strong forecast of growth. This study is very timely as the market for AI-based smart home products is still at a nascent stage in emerging economies (Vaishali Dar, 2021). Adding evidence to literature on the experience of customers, identifying the attributes that lead to customer satisfaction and those that lead to dissatisfaction are essential for products that were launched recently during the pandemic. This study makes valuable addition to the existing literature.

Online reviews (12,326 reviews) for EchoDot products launched by Amazon India during the pandemic were collected for the study. The attributes were identified based on the most frequently discussed attributes in the text reviews. Further review valence was determined to group the reviews under positive reviews indicating customer satisfaction and negative reviews indicating customer dissatisfaction. Logistic regression was used to identify the attributes that significantly impact customer satisfaction/dissatisfaction.

The results of the study indicate that while EchoDot is seen to add value to the smart home environment (home variable), video (video variable) and speaker (speaker variable) quality also contribute to customer satisfaction. Further, consumers found the product truly worth their money (value for money variable). Other attributes like a complaint about Bluetooth features are seen to increase the probability of customer dissatisfaction.

This study identifies the most important attributes that influence customer satisfaction in AI-enabled product sales on e-commerce platforms in pandemic times for India. Such studies are scarce in the emerging markets where the AI-based home appliance market is still in its nascent stage, and the customers are trying out their experiences with these products. What the customers expect and are these products fulfill these expectations is an important question that needs to be addressed by research. This study addresses this gap and adds to this literature.

This study aims to find out the influence of green practices used by the five-star hotels on the guest’s online hotel assessment and their revisit intentions. It also evaluated how the use of green practices by the hotels influenced the guest’s willingness to pay a premium price. Apart from the conventional hotel service attributes, this study also identified some new and innovative services offered by the hotels which have an overall effect on the guest’s revisit intentions.

This study applied focus group interviews from 12 hotel managers and accessed the hotel’s internal database to identify the latest and innovative service attributes offered by the hotels. The information regarding the green practices offered by the hotels was collected through TripAdvisor and LEED-IGBC website. It identified 10 independent and four dependent variables based on previous literature. Guest’s revisit intentions were measured on a five-point Likert scale. Data was analysed using a multi-step hierarchical regression model.

The use of green practices by the hotels revealed a positive and significant influence on the guest’s revisit-intentions and their intention to pay a premium price. It was also found that the use of new and innovative green practices has a positive influence on the guest’s overall online evaluation of the hotel.

This study suggests that the amalgamation of green practices along with the conventional service attributes may help in the incremental revisit and online hotel assessment intentions, which might be of use for the managers and hotel policymakers.

Although previous studies have explored the conventional hotel service attributes in the context of Indian Hotel industry, this is one of the first studies which discussed the influence of recent and emerging hotel service attributes on the guest’s revisit and pay a premium price intention. Moreover, the influence of green practices on the guest’s overall online evaluation of the five-star hotels in Delhi was discussed in this study which was not performed before.

This paper aims to derive insights from Kongthong village, popularly known as the “whistling village,” a low-key rural tourism destination that has often gone under the radar. As an upcoming rural tourism destination, mothers create a unique tune for their children, ensuring that their identity remains unique. This is because the residents of Kongthong have two names: an official name and another in the form of a whistled tune. The primary objective of this study is to better understand the rural tourism activities at Kongthong and to explore the symbiotic relationship between indigenous cultural practices and holistic development through tourism.

The study uses an ethnographic approach wherein the researchers conducted in-depth interviews and group discussions. The study respondents are the village elders, youth, men and women across different age groups. The various governing bodies act as secondary data sources concerning tourism and development.

The study observes that rural tourism activities in Kongthong go hand in hand with understanding indigenous knowledge. The governing bodies and the local community are on the right path to achieving potential growth and preserving the village as a holistic rural tourist destination.

Rural tourism in Kongthong highlights the traditional practices of the Khasi community. Owing to this, Kongthong was nominated for the United Nations World Tourism Organization (UNWTO) best tourism village by the Government of India as it showcases local culture through social, economic and political elements at the destination that add value to a tourism product.

The case is intended to be used by post-graduate students of Management in the courses of Marketing Management and New Product Management. This case may also be used in other courses like Consumer Behaviour and Strategic Marketing.

Indian fast-moving consumer goods (FMCG) sector set to reach an astonishing INR165.62 trillion (US$3.6 trillion) by 2012 gave a tremendous opportunity to Hindustan Unilever Limited (HUL) to establish its footprint in all consumer packaged products. Dove, a brand of HUL, primarily catering to the premium segment of the market, launched Dove Elixir Hair Oil in November 2012 priced at INR185 (US$3.41) for 90 ml. This was five times higher than any other light hair oil in the market. The case brings out facts that describe market situations at that time and questions if a substantial market at higher end, for Dove hair oil, was available.

This case has been documented to help students understand the concept and applicability of brand extension strategy. The students shall learn the dynamics of this strategy in the market by answering the following questions: What are the factors that contributed to the growth of FMCG market in India? Evaluate HUL's decision to extend the brand Dove into other product categories? Was the market for Dove hair oil available at the higher end? What strategies should Dove use for its hair oil?

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Digital transformation (DT) leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes (DT pillars). Artificial intelligence (AI) plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need to integrate ethics in AI led DT. The purpose of this study is to develop an “AI led ethical digital transformation framework”.

Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software.

The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars.

The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research.

The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed.

Data was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths were analysed using bootstrapping method and examination of the standardized direct and indirect effects in the model.

The study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption.

The research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India.

The study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables.

The use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy.

This was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India.

Today, business model innovations leverage digital technologies to gain a competitive advantage and transform business processes. Blockchain is still gaining attention in specific fields and bringing value to business models. There is a dearth of research on how blockchain decentralized autonomous organizations impact organization business model innovations. This study attempts to contribute the body of knowledge based on a review of decentralized autonomous organizations and the business model innovation literature using the integrative and generative approach.

The paper offers an analysis of decentralized autonomous organizations based on digital business models built on the well-established work by Osterwalder and Pigneur (2010). The practical multilayered decentralized autonomous organizations architectural implementation model design is achieved using practical archetypes depicted in the proposed decentralized autonomous organizations business model. The paper evaluates a marketplace comprising 13 decentralized autonomous organizations led platforms with core functionalities.

The paper delivers decentralized autonomous organizations led digital business model canvas elements to explain decentralized autonomous organization business model innovations. It presents the underlying multilayered decentralized autonomous organizations architectural implementation model required to conceptualize a practical business model with an enterprise-ready target operating model.

The paper contributes directly to the practical decentralized autonomous organizations business model canvas, exemplifying the nine elements of decentralized autonomous organizations’ characteristics for any organizational transformation. The tools and accelerators (business model, layered architecture, target operating model and product mapping) developed in the paper address the managerial challenges of redesigning the decentralized business models.

The proposed decentralized autonomous organizations smart contract powered business model provide a digital platform to adhere to rules, follow policies, preserve principles and develop consensus without human interventions. The paper shapes the first of its kind decentralized autonomous organizations marketplace evaluation while mapping it to decentralized autonomous organizations layered architecture product requirement considering business model dimension to adopt actionable target operating model.

The purpose of this paper is to examine the crisis faced, strategies adopted, barriers for recovery and the future outlook by the operators of family-owned small foodservice business firms in responses to COVID-19. The COVID-19 pandemic has unfolded unprecedented challenges, severely disrupted the family-run small foodservice business units and often put them on the brink of closure of business.

The methodology adopted is a qualitative research approach. The data for the research is collected through a semi-structured interview. The data was collected from the 13 family-owned foodservice providers. The data is collected through a semi-structured telephone interview as there is a restriction of travel between different regions.

The finding reveals that small family-operated foodservice firms faced multiple challenges, including threat for existence, the pressure of fixed cost, feeling unethical, financial instability, uncertainty on future and feeling of loss of goodwill with lenders.

The current research work is the first to discuss the impact of Covid-19 on small family-owned food services businesses in an Indian context.

The present study analyses Khasi Food as an ethnic food to be promoted as a tourism product encouraging tourists to visit Meghalaya, India. The food tourists are primarily motivated to eat Khasi Food to provide authentic ethnic food experiences. Therefore, the purpose of the paper is to explore the willingness of tourists to eat ethnic foods and the consequent ethnic Khasi Food Experience (KFE).

This paper adopts a convergent triangulation approach. Statistical data analysis and thematic analysis were incorporated, and the combined results were compared to see if they converged to achieve the same objective or purpose, which is willingness to eat ethnic foods that influences KFE in the study area (selected villages in East Khasi Hills District and West Jaiñtia Hills District).

The converged findings from statistical analysis and thematic analysis indicate that tourists who visited the study area were willing to eat ethnic foods, which is Khasi Food and their willingness to do so has a positive influence on KFE.

To the best of the authors’ knowledge, this paper is original and the first of its kind because this study has not been conducted yet in the state of Meghalaya, India. This paper has an authentic value of projecting Khasi Food globally as a cultural and ethnic tourism product giving meaningful experiences to tourists and locals alike.