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This study examines the effect of housing environment on residents’ satisfaction and happiness using the data collected from selected residents of Gurugram, an urban locality in India.

Using the convenience-cum-judgmental sampling technique, data was collected from 321 residents of 17 gated private housing estates and tested by performing factor analysis and partial least squares – structural equation modeling.

The results revealed that maintenance service at housing estates significantly influences residents’ satisfaction followed by social infrastructure, dwelling attributes and residential amenities, whereas the accessibility aspect has no significant impact on residents’ satisfaction and happiness. Results also show a significant impact of social infrastructure on residents’ happiness, and most notably, residents’ satisfaction has a significant influence on their happiness.

The findings of this study are likely to provide valuable insight into housing stakeholders (government officials; real estate developers; property and construction professionals, i.e. planners, architects and maintenance managers) to improve the attributes in urban housing setting and neighborhood facilities to upsurge the residents’ satisfaction and happiness level toward the housing estates and townships, which leads to quality and happiness in residents’ life.

According to the authors’ knowledge, the present study is the first to provide an inclusive way toward showcasing the key antecedents of residents’ satisfaction and happiness in the Indian urban housing context. Authors anticipate that future researchers will find present research as a valuable contribution to the residents’ satisfaction and happiness in urban housing planning and revitalization of urban locations.

The present study aims to examine the households’ attitudes and intentions to adopt an indoor air purifier against the smog crisis in India by using a comprehensive theoretical framework based on the combination of the Protective Action Decision Model (PADM) and the Theory of Planned Behavior (TPB). The United Nations Sustainable Development Goals (SDGs) 2030 also emphasized ensuring a healthy and safe life, especially by achieving SDG-3, SDG-11 and SDG-13.

Using purposive sampling, the data were collected through a survey questionnaire distributed to 382 households, and study hypotheses were assessed by using partial least squares structural equation modeling employing SmartPLS.

The results revealed that mental health risk perception (MHRP) was the most influential determinant of households’ attitudes toward adopting air purifiers, followed by smog knowledge, physical health risk perception (PHRP), information seeking and product knowledge. Notably, results revealed that households’ attitude is a leading determinant of their adoption intention toward the air purifier compared to subjective norms (SN) and perceived behavioral control (PBC).

To the best of the authors’ knowledge, the present study is the first to provide new insights into an individual’s protective behavior response toward ecological hazards by examining the households’ adoption intention toward the air purifier against the smog crisis using PADM and TPB model inclusively. In addition, the present study analyzes the impact of both PHRP and MHRP on individuals’ protective behavior separately. Also, this study provides theoretical contributions and important practical implications for the government, manufacturers and air purifier sellers.

This study aims to examine the determinants of adoption intention toward the rooftop solar photovoltaic (RSPV) systems among residents of peri-urban villages of Gurugram, Haryana, India. This study also analyzes the impact of the adoption of RSPV systems on carbon neutrality from a behavioral perspective.

Data was collected using a self-administrated structured questionnaire from 208 male villagers (195 usable) of 22 villages using the purposive sampling technique.

Results revealed that relative advantage, followed by simplicity, trialability, observability and compatibility, positively and significantly impact villagers’ attitude toward adopting RSPV systems in their homes. Perceived severity and perceived vulnerability significantly influence the perceived behavioral control of villagers toward adopting the RSPV systems. The results show villagers’ attitudes, subjective norms and perceived behavioral control are the essential predictors of their adoption intention of the RSPV systems. Most notably, carbon neutrality was significantly affected by villagers’ adoption intention of RSPV systems as the renewable energy source in their homes.

The findings of this study provide that innovation attributes are important factors in shaping the adoption intentions of customers toward RSPV systems. This study is also the extent of previous studies measuring customers’ perception of adopting renewable energy in developed and emerging countries worldwide.

The present study examines the foremost determinants of teachers' perception, i.e. teachers' satisfaction, attitude and continuance intention towards adopting e-learning in Higher Educational Institutions (HEIs) in India during the COVID-19 pandemic.

Data were collected through online Google forms from 1,111 (1,060 considered useable) teachers of different HEIs in India using the purposive sampling technique and was analyzed by PLS-SEM (performing partial least squares-structural equation modeling).

Results of this study show that perceived usefulness (PU) followed by institutional support, perceived ease of use (PEOU), and teacher-student interaction positively and significantly impact teachers' satisfaction. Results also revealed that perceived usefulness (PU), institutional support, and satisfaction significantly affect teachers' attitude. Finally and most notably, teachers' continuance intention towards using online teaching in HEIs is most significantly influenced by teachers' satisfaction than perceived usefulness (PU), perceived ease of use (PEOU), and attitude.

The authors anticipate that this study brings a significant and valuable input to the existing literature by providing inclusive research in a more harmonizing understanding of the teachers' satisfaction, attitude, and continuance intention with online teaching-learning practices in diverse educational institutions.

This study examines how domestic honeymoon destination quality contributes to achieving honeymooners' fantasy experience and how fantasy experience impacts honeymooners' revisit intention.

Using the convenience sampling technique, 202 self-administrated survey questionnaires were collected (184 considered useable) from domestic honeymooners who had experienced honeymoon trip. The analysis was performed by employing partial least squares structural equation modeling (PLS-SEM) using SmartPLS 4.0.

The findings indicate that honeymoon destination image strongly and significantly influenced honeymooners' fantasy experience, followed by honeymooners' privileges, service providers, social aspects and accommodation. At the same time, the dining experience and honeymoon expenses had no significant impact on the honeymooners' fantasy experience. Notably, honeymooners' fantasy experience also had a strong and significant effect on their revisit intention to honeymoon destination in the future.

This study has an important theoretical contribution, being the first to explore the post-consumption behavior, that is, fantasy experience and revisit intention of domestic honeymooners in tourism literature. The study also has important implications for tourism industry stakeholders, that is, government, tourism department and officials, honeymoon tour planners and hotel managers, to make honeymoon destinations more attractive and fascinating, especially among newlywed couples and the young generation of tourists.

This paper evaluates the factors that help in enabling the intrapreneurial behaviour amongst the employees according to their importance. This study will evaluate the relationship between these factors and intrapreneurship. It will also provide a significant contribution in understanding what it takes to be among India's best companies.

This study incorporates a quantitative approach where the data has been collected through the “Great Place to Work” Institute's list of top companies in India to work for. The final sample included 109 employees from 50 companies. Correlation and regression analyses are used for data analysis.

The results indicated that there is a positive and significant effect of the environment and organizational factors on intrapreneurship. Within the individual factors, management support in organizational factors and technological opportunities present in the market (environmental factors) are perceived as the most important factors for intrapreneurial activities. Additionally, “self-renewal activities” are considered as an important intrapreneurial activity for the respondents.

The results of this study are significant because the sample is taken of the companies already known for their workplace culture. This helped in cross-validating the results.

The analyze phase of Lean Six Sigma (LSS) project is an important phase where the project heads and organizational directors need to select the critical issues for further improvements. The present work is primarily focused on analyze phase of LSS project to prioritize the critical to quality (CTQ) in a particular case industry.

The CTQ prioritization is being done based on the five evaluation criteria found from the literature. The weights of the criteria are determined through the modified digital logic (MDL) method. The identified CTQs in assembly section of case industry have been ranked through the gray relational analysis (GRA) under fuzzy environment. The results of the study have been validated using fuzzy VlseKriterijumska Optimisacija I Kompromisno Resenje (VIKOR).

It is found that the “cost” criterion is the most significant among other criteria with MDL weight of 0.3. Through fuzzy-GRA, out of ten identified CTQs, non-availability of rack system is found to be the most critical issue in assembly section of case industry. The perceptions of industrial manager and production head of case industry are strongly in favor of the obtained results and have implemented the suggested solutions.

To sustain in the competitive environment and produce quality product at right time, organizations need to control their CTQs as per their criticality. For this, the decision-making becomes quite complex to select the most critical factors because of the fascinating nature of various criteria and sub-criteria. The present study is the first attempt that has implemented the multi-criteria decision-making approach in analyze phase of LSS project.

Since the education of Master of Science students in the discipline of agriculture is catalectic without libraries, the present paper seeks to assess the information literacy competency (ILC) of post graduate (PG) students at Haryana Agricultural University, Hisar, India, along with the impact of instruction initiatives in this respect.

Based on the Association of College and Research Libraries (ACRL) Information Literacy Standards for Science and Engineering/Technology, 2006, an instrument was developed with 79 scoring items in the first part of the questionnaire along with non‐scoring items in the second part. Broad headings of the questions asked are shown in detail. Validity and reliability of the instrument are also reported.

Information literacy competency of PG students has been found satisfactory along with significant difference between the first and second year students. Results of the paper distinguish between the first and second year students in the light of five information literacy (IL) standards along with other considerations. Various instruction initiatives were found to have a positive impact upon the ILC of PG students.

Since the study has been able to establish a positive relationship between instruction initiatives and ILC, such initiatives may be introduced in other academic institutions.

None of the earlier reported research instruments had used science and engineering/technology IL standards, especially upon PG students in agriculture. This study further paved the way for the development of such an nstrument along with assessing the ILC of PG students and impact of instruction initiatives in an agricultural university.

Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained supply chain in low- and middle-income countries (LMICs) will not be effective enough to vaccinate all the population in stipulated time. The purpose of this paper is to show that there is a need to revolutionize the vaccine supply chain (VSC) by overcoming the challenges of sustainable vaccine distribution.

An integrated lean, agile and green (LAG) framework is proposed to overcome the challenges of the sustainable vaccine supply chain (SVSC). A hybrid best worst method (BWM)–Measurement of Alternatives and Ranking According to COmpromise Solution (MARCOS) methodology is designed to analyze the challenges and solutions.

The analysis shows that vaccine wastage is the most critical challenge for SVSC, and the coordination among stakeholders is the most significant solution followed by effective management support.

The result of the analysis can help the health care organizations (HCOs) to manage the VSC. The effective vaccination in stipulated time will help control the further spread of the virus, which will result in the normalcy of business and availability of livelihood for millions of people.

To the best of the author's knowledge, this is the first study to explore sustainability in VSC by considering the environmental and social impact of vaccination. The LAG-based framework is also a new approach in VSC to find the solution for existing challenges.