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It would not be an exaggeration to say that healthcare is the most crucial one in today's perspective. The healthcare sector, in general, is engaged in working on various dimensions simultaneously like the safety, care, quality and cost of services, etc. Still, the desired outcomes from this sector are far away, and it becomes pertinent to address all such issues associated with healthcare on a priority basis for sustaining the outcomes in a long-term perspective. The present study aims to explore the healthcare sector and list out the directly associated enablers contributing to increasing the viability of the healthcare sector. Besides, the interrelationship among the enlisted enablers needs to be studied, which further helps in setting-out the priority to deal with individual enablers based on their impedance in the contribution towards viability increment.

The authors have done an extensive review to list out the enablers of the healthcare sector to perform efficiently and effectively. Further, the attempt has been made on the enablers to rank them by using the modified Total Interpretative Structure Modelling (m-TISM) approach. The validation of the study reveals the importance of enablers based on their position in the hierarchical structure. Further, the MICMAC analysis on the identified enabler is performed to categorize the identified enablers in the different clusters based on their driving power and dependence.

The research tries to envisage the importance of the healthcare sector and its contribution towards national development. The outcomes of the m-TISM model in the present study reveal the noteworthy contribution of the organizational structure in managing the healthcare facilities and represented it as the perspective of future growth. The well-designed organizational structure in the healthcare industry helps in establishing better employee–employer cooperation, workforce coordination and inter-department cooperation.

Every research work has limitations. Likewise, the present research work also has limitations, i.e. input taken for developing the models are from very few experts that may not reflect the opinion of the whole sector.

The healthcare sector is the growing sector in the present-day scenario, and it is essential to keep the quality of treatment in check along with the quantity. The present study has laid down the practical foundations for improvement in the healthcare sector viability. Besides, the study emphasized on accountability of the healthcare sector officials to go with the enablers having the strong driving power for effective utilization of all the resources. This would further help them in customer (patients) satisfaction.

Despite an increase in demand for good quality healthcare facilities worldwide, the growth of this sector is bounded by the economic, demographic, cultural and environmental concerns, etc. The present study proposed a unique framework that provides a better understanding of the enablers. It would further help in playing a key role in increasing the viability of the healthcare sector. The hierarchy developed with the help of m-TISM and MICMAC analysis will help the viewers to recognize the important enablers based on their contribution to the viability improvement of the healthcare sector.

The purpose of this paper is to address various works on mixed convection and proposes 10 unified models (Models 1–10) based on various thermal and kinematic conditions of the boundary walls, thermal conditions and/ or kinematics of objects embedded in the cavities and kinematics of external flow field through the ventilation ports. Experimental works on mixed convection have also been addressed.

This review is based on 10 unified models on mixed convection within cavities. Models 1–5 involve mixed convection based on the movement of single or double walls subjected to various temperature boundary conditions. Model 6 elucidates mixed convection due to the movement of single or double walls of cavities containing discrete heaters at the stationary wall(s). Model 7A focuses mixed convection based on the movement of wall(s) for cavities containing stationary solid obstacles (hot or cold or adiabatic) whereas Model 7B elucidates mixed convection based on the rotation of solid cylinders (hot or conductive or adiabatic) within the cavities enclosed by stationary or moving wall(s). Model 8 is based on mixed convection due to the flow of air through ventilation ports of cavities (with or without adiabatic baffles) subjected to hot and adiabatic walls. Models 9 and 10 elucidate mixed convection due to flow of air through ventilation ports of cavities involving discrete heaters and/or solid obstacles (conductive or hot) at various locations within cavities.

Mixed convection plays an important role for various processes based on convection pattern and heat transfer rate. An important dimensionless number, Richardson number (Ri) identifies various convection regimes (forced, mixed and natural convection). Generalized models also depict the role of “aiding” and “opposing” flow and combination of both on mixed convection processes. Aiding flow (interaction of buoyancy and inertial forces in the same direction) may result in the augmentation of the heat transfer rate whereas opposing flow (interaction of buoyancy and inertial forces in the opposite directions) may result in decrease of the heat transfer rate. Works involving fluid media, porous media and nanofluids (with magnetohydrodynamics) have been highlighted. Various numerical and experimental works on mixed convection have been elucidated. Flow and thermal maps associated with the heat transfer rate for a few representative cases of unified models [Models 1–10] have been elucidated involving specific dimensionless numbers.

This review paper will provide guidelines for optimal design/operation involving mixed convection processing applications.

Green hospitality studies have not adequately focused on the diffusion of eco-innovative hotels amongst visitors. This study aims to fill this gap by identifying green hotel attributes that influence visitors’ adoption of eco-friendly hotel and their intentions to partake in green initiatives.

The paper uses a mixed-method approach to explore the drivers of customers’ green hotel adoption and consumption. In the qualitative phase, data were collected via 20 open-ended interviews and analyzed to derive a measurement scale. The scale was then tested through a survey comprising 500 respondents using structural equation modelling.

The study results elucidate how guests’ visit intentions and green consumption behavior is built through their perception of newness and uniqueness of eco-innovative attributes. Findings shed light on how green hotel’s sustainable communication and corporate social responsibility outreach efforts positively influence guest visit intentions.

Study results reveal perceived eco-innovativeness as an important antecedent of visit intentions. Based on guest’s preferences, green hotels striving to increase its visitors’ base could begin by expanding their eco-innovative attributes.

Contrasting previous studies that have exclusively used the theory of planned behavior constructs, this study argues that diffusion of innovation constructs also offer valuable insights into guests’ visit intentions. While existing studies have covered limited number of eco-innovative attributes, this study adds to the literature by presenting a comprehensive set of attributes including trustworthiness of communication and observability of its social impacts.

Marketing Management, Product Management, Marketing Strategy.

Bachelor of Business Studies, MBA, Executive MBA.

The case throws light on the intensely competitive Indian passenger car market and its unique challenges faced by Hyundai Motors India Limited (HMIL). It tries to capture the evolution of this dynamic industry, which is characterized by regular product launches and re-positioning efforts. The students are expected to assess the performance of HMIL and the success of its positioning efforts through multiple quantitative and qualitative data points given in the case. The students need to come up with recommendations whether, amidst intense competition, Government regulations and changing consumer expectations, HMIL should launch new products in its portfolio? If, yes, in which segments? And what should be the guiding philosophy behind such product launches?

The case is expected to guide students: 1. in comprehending the various macro-environmental factors that has made India an attractive passenger car market to invest and operate in, to virtually all multinational players across all segments; 2. in analyzing how the passenger car market is segmented in India; 3. in assessing the product-driven segment-wise performance by HMIL specifically and organizations in general and what are its implications on decision-making; this is indicative of the brand portfolio management based on BCG Brand/Product Portfolio Growth Share Matrix; 4. in assessing the impact of re-positioning on the firms performance judged before and after the re-positioning efforts by the firm; 5. in analyzing the market potential of SUVs and MUVs in India and whether HMIL should launch new products/brands for these segments; and 6. in deliberating on the guiding philosophy in new product launches around the concept of “Consumer Perceived Value”.

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 8: Marketing.

This paper aims to investigate the thermal performance involving larger heating rate, targeted heating, heating with least non-uniformity of the spatial distribution of temperature and larger penetration of heating within samples vs shapes of samples (circle, square and triangular).

Galerkin finite element method (GFEM) with adaptive meshing in a composite domain (free space and sample) is used in an in-house computer code. The finite element meshing is done in a composite domain involving triangle embedded within a semicircular hypothetical domain. The comparison of heating pattern is done for various shapes of samples involving identical cross-sectional area. Test cases reveal that triangular samples can induce larger penetration of heat and multiple heating fronts. A representative material (beef) with high dielectric loss corresponding to larger microwave power or heat absorption in contrast to low lossy samples is considered for the current study. The average power absorption within lossy samples has been computed using the spatial distribution and finite element basis sets. Four regimes have been selected based on various local maxima of the average power for detailed investigation. These regimes are selected based on thin, thick and intermediate limits of the sample size corresponding to the constant area of cross section, Ac involving circle or square or triangle.

The thin sample limit (Regime 1) corresponds to samples with spatially invariant power absorption, whereas power absorption attenuates from exposed to unexposed faces for thick samples (Regime 4). In Regimes 2 and 3, the average power absorption non-monotonically varies with sample size or area of cross section (A_c) and a few maxima of average power occur for fixed values of A_c involving various shapes. The spatial characteristics of power and temperature have been critically analyzed for all cross sections at each regime for lossy samples. Triangular samples are found to exhibit occurrence of multiple heating fronts for large samples (Regimes 3 and 4).

Length scales of samples of various shapes (circle, square and triangle) can be represented via Regimes 1-4. Regime 1 exhibits the identical heating rate for lateral and radial irradiations for any shapes of lossy samples. Regime 2 depicts that a larger heating rate with larger temperature non-uniformity can occur for square and triangular-Type 1 lossy sample during lateral irradiation. Regime 3 depicts that the penetration of heat at the core is larger for triangular samples compared to circle or square samples for lateral or radial irradiation. Regime 4 depicts that the penetration of heat is still larger for triangular samples compared to circular or square samples. Regimes 3 and 4 depict the occurrence of multiple heating fronts in triangular samples. In general, current analysis recommends the triangular samples which is also associated with larger values of temperature variation within samples.

GFEM with generalized mesh generation for all geometries has been implemented. The dielectric samples of any shape are surrounded by the circular shaped air medium. The unified mesh generation within the sample connected with circular air medium has been demonstrated. The algorithm also demonstrates the implementation of various complex boundary conditions in residuals. The numerical results compare the heating patterns for all geometries involving identical areas. The thermal characteristics are shown with a few generalized trends on enhanced heating or targeted heating. The circle or square or triangle (Type 1 or Type 2) can be selected based on specific heating objectives for length scales within various regimes.

The purpose of this study is to underpin the impact of cloud computing in global accounting information systems (AIS). Moreover, it investigates the key aspects that ought to be considered by the organization before choosing to pick the correct accounting system.

The study looks at and depends on narrative investigation of previous studies. In the examination talked about the principle issues with respect to the utilization of cloud and database the executives in the AIS through developing research model.

The focal point of the paper is the impact of cloud computing worldview on the business area. This paper highlights different facts of cloud accounting, published research papers and the benefits and possible risks determined by the implementation of cloud services, mostly in relation to the accounting department.

Considering the numerous ramifications of cloud advancements on the present business process, there is a need for an examination of how these innovations will be used in AIS to improve precision, benefits and risks. At the same time, there is need to investigate the determinant elements of actualizing cloud advances in the AIS. More importantly, to the author’s knowledge, this is the first study that focuses on the number of published research works to show the importance of cloud computing in accounting and information systems.

Water is a vital natural resource without which life on earth would be impossible. Properties of synthetic dyes like high stability and noxious nature make it difficult to remove them from the effluent. This review focuses on the removal of synthetic dyes using nanoparticles (NPs) based on the adsorption principle.

Adsorption technique is widely used to remove synthetic dyes from their aqueous solution for decades. Synthetic dye removal using NPs is promising, less energy-intensive and has become popular in recent years. NPs are in high demand for treating wastewater using the adsorption principle due to their tiny size and vast surface area. To maximise environmental sustainability, the utilisation of green-produced NPs as efficient catalysts for dye removal has sparked attention amongst scientists.

This review has prioritised research and development of optimal dye removal systems that can be used to efficiently remove a large quantity of dye in a short period while safeguarding the environment and producing fewer harmful by-products. The removal efficiency of synthetic dye using different NPs in wastewater treatment varies mostly between 75% to almost 100%. This review will aid in the scaling up of the wastewater treatment process.

There is a lack of research emphasis on the safe disposal of NPs once the reuse efficiency significantly drops. The relevance of cost analysis is equally critical, yet only a few papers discuss cost-related information.

Comprehensive and planned research in this area can aid in the development of long-term wastewater treatment technology to meet the growing need for safe and reliable water emphasising reuse and desorption efficiency of the NPs.

This paper aims to investigate how augmented reality (AR) technology is adopted in the library to transform it into an immersive and interactive platform and highlights the future possibilities of the application of AR in libraries.

The study examines the current applications of AR in the library by consulting related literature and analyzing different library websites covering diverse geographical areas.

The paper with examples summarizes the current library practices of using AR technology and focuses on the AR-supported major library initiatives – right from document tracking, inventory management, wayfinding, supporting innovation and research, developing information literacy skills, etc.

The paper explores the possibility of improving user experience in the library by introducing AR applications and engaging users in an interactive and captivating environment.

The COVID-19 crisis has jolted the hotel landscape profoundly and sector's usual resistance to innovative efforts is gone. Ecologically innovative (green) hotels are now expected to set the benchmark in protecting the environment and mitigating human health hazards. The need for this study stems from the fact that eco-innovative (green) hotels need not only be established and promoted, but also accepted or adopted by guests. Existing studies have mostly relied on customer's pro-environmental attitude, knowledge, and a selective list of green hotel attributes in order to predict green hotel visit intentions. The objective of this study is to provide a comprehensive list of environmental and human health attributes that are likely to influence guest's decision to visit a green hotel. One of the first studies to utilize the diffusion of innovation (DOI) theory in sustainable hospitality research, this qualitative study identifies 27 key green hotel's perceived attributes. Examining the guest's expected green hotel attributes would help managers make their green efforts more effective and attract potential guests who have not yet stayed at green hotels.

The phenomenal growth of the hospitality sector has exponentially increased the quantities of food waste being added into the system. The Food and Agriculture Organization of the United Nations estimates that around one-third of the edible parts of the food produced for human consumption gets lost or wasted globally. Along these lines, hospitality food waste represents a significant societal challenge. A review of literature suggests that majority of existing hospitality studies have primarily focused on management's role in reducing food waste and only a few studies have looked into consumer food waste behavior. This chapter also identifies key behavioral tools that support reduction in individual food waste behavior and provides a basis for future empirical investigations.