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The digital disruptions have provided alternative methods of monetary transactions. Despite the digital wave, cash as a payment option has regained its position. The purpose of this research is to investigate behavioral intentions of mobile wallet (m-wallet) users. The paper explores the dynamics of perception, behavioral intention motivation and satisfaction of m-wallet users.

The authors have used a self-administered questionnaire for data collection. A total of 506 responses were analysed using confirmatory factor analysis in conjunction with Structural Equation Modeling, ensuring the validity and reliability of the insights into the behavioral dynamics of m-wallet users.

The research highlights the direct impact of perceived security on m-wallet users' perceptions, which subsequently influence both direct and indirect behavioral intentions. Moreover, satisfaction emerged as a significant determinant directly shaping behavioral intentions.

This study contributes significantly to the existing literature by offering a comprehensive understanding of the factors driving m-wallet adoption and usage intentions, thereby equipping stakeholders and policymakers with the necessary tools to devise effective strategies to promote mobile payment technologies in North India. The study employs a multifaceted model that incorporates six key elements, providing a comprehensive understanding of the complex interrelationships among these variables.

The purpose of this study to brought new dimensions by inserting market conditions and investor sentiments as independent variable measure their impact on government policy formulation and sustainable development. This research also measures the moderating effective stakeholder engagement. Previous research has focused on demystifying the relationship between green bonds and sustainable development.

The analysis part of the research is initiated by factor analysis on the sample size of 100. After the construction of appropriate statements matching the research objective, it was circulated to the respondents of northern region of India. The sampling technique was random in nature through which data analysis on 700 respondents was done. For meeting research objectives present research applies PLS algorithm on the conceptual model framed through review of literature.

Out of all independent variables green bond issuance is having statistically significant impact on government policy formulation and investors’ sentiment is having statistically significant impact on sustainable development. Rest all other pairs are statistically insignificant. For an investor, it is necessary to understand that how its sentiments impacts government policy formulation and the health of ecology.

The research produced results with management implications for practitioners and policy makers that are very significant to the fields of sustainability, green finance and environmental policy. Green bonds also influence government policy, illustrating how green financing may revolutionize environmental laws and regulations.

The social implications of this revelation are considerable. The research enhances knowledge about sustainable development by emphasizing the importance of green bonds in supporting environmentally friendly activities. It allows for transparent reporting, increasing social accountability and reputation while attracting environmentally conscious consumers and fostering community trust. According to the survey, investor sentiment and their enthusiasm for eco-friendly investments may push more money to efforts that are good for society and the environment. This study enhances consciousness about sustainable finance, which has the potential to inspire beneficial social shifts towards a more environmentally and socially equitable future.

These social ramifications manifest themselves in various socioeconomic and environmental issues of the society in addition to credit and public policy. Second, it is evident that green bond emissions are influencing government policy, demonstrating the power of financial instruments to encourage environmentally beneficial social outcomes by providing officials with an incentive to modify environmental regulations.

Laser land leveling (LLL) is a climate-smart technology that improves water use efficiency and reduces risk in crop cultivation due to weather variability. Hence, this technology is useful for cultivating water-intensive crops in a sustainable way. Given this background, the state government of Karnataka initiated to promote LLL in drought-prone districts and selected Raichur district for implementation. Moreover, farmers in this district had observed drought situation during monsoon paddy growing season in 2018. Therefore, this study attempts to investigate the importance of LLL technology for paddy cultivation under drought conditions.

A primary survey with 604 farmer households had been conducted in Raichur in 2018. Among them, 50% are adopters of LLL who have been selected purposively and rest 50% are non-adopters who have grown paddy in the adjacent or nearest plot of the laser-leveled plot. The adoption and causal impact of LLL has been estimated using propensity score matching, coarsened exact matching and endogenous switching regression methods.

The result reveals a positive and significant impact of LLL on paddy yield and net returns to the farmers. The results indicate an increment of 12 and 16% in rice yield and net income, respectively, for LLL adopters in comparison to the non-adopters of LLL.

The major limitation of the study is that it does not adopt the method of experimental study due to certain limitations; hence, the authors employed a quasi-experimental method to look at the possible impact of adoption of LL.

There have been various agronomic studies focusing on the ex-ante assessment of the LLL. This study is an ex-post assessment of the technology on the crop yield and farmers' income in a dry semi-arid region of India, which, according to the authors, is the first in this approach.

The purpose of this study was to understand the different dimensions patients staying in a hospital perceived as important for satisfaction and how those dimensions affected their overall satisfaction levels.

A scale comprising 21 items to measure patient experience in a hospital was developed based on literature review. After purification of the scale, a field survey was administered to patients who were discharged in the recent past from a public or a private hospital in the city. The data collected were analyzed using multivariate techniques.

The data analysis highlighted four important dimensions of patient satisfaction. The four dimensions significantly and positively affected patient’s overall satisfaction level.

This research study was conducted in one of the four major metropolitan cities of India. Nonetheless, the study provides valuable insights into the patient satisfaction dimensions in an Indian context and how those dimensions affected patient’s overall satisfaction.

Hospitals, in general, can use the study findings to measure and improve their operational performance.

This study was not limited to one or few hospitals, but covered many hospitals in one of the four metropolitan cities of India. It provides a comprehensive picture of how many hospitals in the city fared in terms of satisfying their patients.