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Rapid urbanization and development of pilgrimage cities cause significant problems for the environment and society, leading to long-term challenges. Despite several discussions on city sustainability, the literature does not address some of the specific problems of pilgrimage cities. Hence, this study attempts at developing a method to examine the growth pattern and sustainability of pilgrimage cities in southern part of India.

The benchmarking method and the social, economic and environmental dimensions of sustainability are considered to construct the Pilgrimage City Sustainability Index (PCSI). Appropriate variables and categories are identified through a literature review and expert opinion survey. The benchmark values of the variables are derived by contemplating the pilgrimage cities of Tamil Nadu, one of the states with the largest tourist arrivals in India. Subsequently, three prominent pilgrimage cities from Tamil Nadu were chosen for the case study and the method was tested.

The result reveals that the cities investigated are performing above average in the sustainability index, with slight variations in their dimension scores. While the category scores of cities assist in identifying macro-level issues, the variable scores provide an insight into micro-level issues. Furthermore, the gap analysis between the benchmark and the present value of each variable discloses the immediate area of attention in each city. Thus, the cities could set more specific targets, frame strategies and/or collaborate with matching cities to bridge these gaps.

This index assessment provides a comparison of the pros and cons of these pilgrimage cities and helps identify their demand and supply. Policymakers can find appropriate tools and approaches that aid in sustainable urban development and tourism management.

To the best of our knowledge, this is the first study in emphasizing the application of the benchmarking method to assess the sustainability of Indian pilgrimage sites. With appropriate modifications, this method can be used in varied contexts across the globe.

This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.

The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.

The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.

A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.

This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.

To assess the impacts of climate change on stream flow and evaluation of reservoir performances, reliability, resilience and vulnerability (RRV) indices are contemplated. Precipitation, temperature (Tmax, Tmin), relative humidity and solar radiation are the hydrological and meteorological data which have been used extensively. Climate data like RCP2.6, RCP4.5 and RCP8.5 were evaluated for the base period 1976–2005 and future climate scenario for 2021–2050 and 2051–2080 as per the convenience.

The hydrologic engineering center hydrologic modeling system (HEC-HMS) model was used to simulate the current and future inflow volume into the reservoir. The model performance resulted as 0.76 Nash-Sutcliffe efficiency (NSE), 0.78 R2 and −3.17 D and during calibration the results obtained were 0.8 NSE, 0.82 R2 and 2.1 D. The projected climate scenario illustrates an increasing trend for both maximum and minimum temperature though a decreasing trend was documented for precipitation. The average time base reliability of the reservoirs was less than 50% without reservoir condition and greater than 50% for other conditions but volumetric reliability and resilience varies between 50% and 100% for all conditions. The vulnerability result of reservoirs may face shortage of flow ranging from 5.7% to 33.8%.

Evaluating reservoir simulation and hydropower generation for different climate scenarios by HEC-ResSim model, the energy generated for upper dam ranges from 349.4 MWhr to 331.2 MWhr and 4045.82 MWhr and 3946.74 MWhr for short and long-term future scenario, respectively. RCP for Tmax and Tmin goes on increasing whereas precipitation and inflow to reservoir decreases owing to increase in evapotranspiration. Under diverse climatic conditions power production goes on varying simultaneously.

This paper is original and all the references are properly cited.

The indigenous and sustainable knowledge possessed by the tribal people and communities plays an extremely important role in the conservation of the climate. As per the United Nations Sustainable Development Goals (UN SDGs), tribal communities play an important role in preserving traditional knowledge, culture, food practices and textiles. The remains of the Indus Valley civilisation highlight the importance of the culture and religion. Animism and the worship of nature to achieve success in routines and tasks have been practised by these tribes for centuries. India is a mosaic of more than 705 different colourful tribes, and each of these tribes has their own identity that differentiates it from the other tribes. With increasing ecological complexities, the knowledge owned by the tribes is extremely useful in the preservation of the climate. This chapter seeks to explore the various hues and colours that constitute the mosaic of Indian tribal culture.

The present work investigated the effect of corporate social responsibility and top management support on employee ecological behaviour (EEB) with the mediating role of green culture and green commitment. Social identity theory (SIT) was used to describe the association between green culture, green commitment and EEB. Further, a conceptual model that summarises the interaction between perceived corporate social responsibility, top management support, green commitment, green culture and the adoption of ecological behaviour was developed.

The paper opted for a quantitative design using convenience sampling by collecting the data through a structured questionnaire gathered from 308 academics working in five Malaysian higher education institutions.

Corporate social responsibility and top management support positively influence green culture and commitment. Moreover, green commitment positively influenced EEB and fully mediated the relationship between corporate social responsibility and EEB and between top management support and EEB.

The academic staff of universities was the target population of this research. Nevertheless, universities have a diverse population with complex activities that can affect the implementation of a sustainable workplace within the campus. Future research should also examine non-academic staff, including administrative, technical and operational staff, due to different employees' perceptions.

As far as the authors know, this is the first study to assign the mediator role to green culture in a relationship between top management support and EEB amongst academic staff in the Malaysian context. Future research should consider other intervening variables that influence adopting ecological behaviour.

This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior.

Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature.

This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework.

The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services.

The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.

This paper aims to assess the progress in the provision of basic services in urban slums in Bangladesh during the transition period of millennium development goals (MDGs) to sustainable development goals (SDGs).

The study used a mixed method of research. The empirical part of the research was conducted in three Blocks of Rupsha slum in Khulna city. Randomly selected 120 households were interviewed through a structured questionnaire; three focus group discussion sessions (FGDs) were also conducted. Progress in the slum residents’ access to basic services during the transition from MDGs to SDGs is tacked based on primary data. The User Satisfaction Index (USI) and Network Analysis tools in ArcGIS are used to identify the gaps in service provision.

Findings show that a very significant proportion of families (56.67%) encounter an acute level of difficulties to gain smooth access to water services. About 89% of respondents have only access to a common or shared toilet facility where one common toilet is used by 20–25 persons. About 31% of families are unable to send their children to primary school even after four years of the adoption of SDGs. Achievements in most indicators of basic services in the slum are in general lower than the national level. Moreover, there exists spatial variability within the same slum. After four years of the transition from MDGs to SDGs, most of the services are poorly satisfying the residents of the Rupsha slum, and water service provision is in worse condition. The findings of this study have unveiled that while achievement in target areas is appreciable at the macro level, at the micro-level; however, good achievement in the provision of few basic services in the low-income settlement is more rhetoric than reality. Therefore, a lot more work needs to be done during the SDG phase to give the slum residents a decent quality of life as they have missed the MDGs’ train.

Study single-out works need to be done during the SDGs phase to give the slum residents a decent quality of life as they have missed the MDGs’ train.

Theory of mind (ToM) is essential in understanding and predicting human behaviour. Parenting plays a significant role in the overall cognitive development of children. This study aims to understand the development of ToM among children in need of care and protection and then to compare the data with children living under parental care and children living in boarding schools. Further, it explores the extent of physical abuse experienced by children in the study and their relation to the development of ToM.

ToM Test developed by Muris et al. (1999) was used to measure ToM. Childhood Experience of Care and Abuse Questionnaire was used to understand the children’s relationship with parents and experience of physical abuse. The study used an ex post facto design with a purposive sampling method.

Findings suggest a significant impact of parental care on the ToM among children. Also, the type of care received mediated the relationship between parental care and the development of ToM. Finally, children living in institutions run by the Child Welfare Department reported that they have received harsher physical punishment from their parents than the other two groups of children.

Findings are a significant theoretical contribution to the ToM development in children, especially in the Indian context.

Findings demand more legal and psychological support to vulnerable children living in institutions run by the Child Welfare Department and boarding schools.

The study explores care and abuse from the child’s perspective. Findings are of value to the existing child care system in India.