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This study aims to recognize the role of information system (IS) model on young adults’ experience of housing and real estate chatbots. This model of IS takes into account the quality of information, the quality of system and the quality of service.

This study uses a sample frame for analysis which comprises young adult population in India, i.e. between the ages of 18 and 35. A questionnaire consisting of five components was used to collect information in a structured manner. The 386 responses thus collected were analysed using the structural equation model.

It was found that there is a significant influence of the quality of information, quality of system and quality of service on young adults’ experience of housing and real estate chatbots. The findings also showed that there is moderation role of effort expectancy between the quality parameters and young adults’ user experience of housing and real estate chatbots.

This study focusses exclusively on the young adults from various parts of India. Future research can consider larger population categories across age groups and across sectors employing chatbots.

This study will enable in-depth understanding of IS model – quality dimensions’ relation with the user experience. In particular, housing and real estate organisations will profit from the expanded usage of artificial intelligence through chatbots for user correspondence and communication.

To the best of the authors’ knowledge, this study is first of its kind, as it investigates how IS model – quality dimensions affect the young adults’ experience of housing and real estate chatbots in India. This study also ventures into identifying the moderation role of effort expectancy between the quality dimensions as per IS model and young adults’ experience of housing and real estate chatbots. This study will be useful for the stakeholders of housing and real estate industry.

The purpose of this paper is to investigate the relationship between rational decision-making and behavioural biases among individual investors in India, as well as to examine the influence of demographic variables on rational decision-making process and how those differences manifest themselves in the form of behavioural biases.

Using a structured questionnaire, a total of 386 valid responses have been collected from May to October 2015. Statistical techniques like t-test, analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) test have been used in this study. Structural equation modelling (SEM) has been used to analyse the relationship between rational decision-making and behavioural biases.

The findings show that the structural path model closely fits the sample data, indicating investors follow a rational decision-making process while investing. However, behavioural biases also arise in different stages of the decision-making process. It further explores that gender and income have a significant difference with respect to rational decision-making process. Male investors are more prone to overconfidence and herding bias in India.

The findings of the study have significant implication for the individual investors. It is recommended that if individuals are aware about the biases, they may become alert before taking irrational investment decisions.

To best of the authors’ knowledge, the present study is a first of its kind to investigate the relationship between rational decision-making and behavioural biases among individual investors in India.

The purpose of this paper is to examine how financial literacy and demographic variables (gender, age, income level, education, occupation, marital status and investment experience) related to behavioral biases.

The study uses one-way analysis of variance (ANOVA), factor analysis and multiple regression analysis to examine survey data from more than 500 individual investors in India.

The results reveal the presence of different behavioral biases including overconfidence and self-attribution, the disposition effect, anchoring bias, representativeness, mental accounting, emotional biases and herding among Indian investors. Hence, the findings support the view that individual investors do not always act rationally. The results also show that financial literacy has a negative association with the disposition effect and herding bias, a positive relation with mental accounting bias, but no significant relation with overconfidence and emotional biases. Age, occupation and investment experience are the most important demographic variables that relate to the behavioral biases of individual investors in the sample. Regarding gender, males are more overconfident than are females about their knowledge of the stock market.

The study does not test for causality, only association between the variables. Thus, the findings in this study should not be interpreted as suggesting causality. The study may have implications for financial educators in promoting the financial awareness programs for individuals. Financial advisors can potentially become more effective by understanding their clients’ decision-making processes.

Despite an extensive literature on behavioral finance, limited academic research attempts to unravel the relation of how financial literacy and demographic variates relate to behavioral biases. This study contributes to this literature by trying to fill this gap.

Social relationships play an important role in organizational entrepreneurship. They are crucial to entrepreneurs’ decisions because, despite the bleeding-edge technological advancements observed nowadays, entrepreneurs as human beings will always strive to be social. During the COVID-19 pandemic many companies moved activities into the virtual world and as a result offline Social relationships became rarer, but as it turns out, even more valuable, likewise, the inter-organizational cooperation enabling many companies to survive.

This chapter aims to develop knowledge about entrepreneurs’ SR and their links with inter-organizational cooperation. The results of an integrative systematic literature review show that the concept of Social relationships, although often investigated, lacks a clear definition, conceptualization, and operationalization. This chapter revealed a great diversity of definitions for Social relationships, including different scopes of meaning and levels of analysis. The authors identify 10 building blocks and nine sources of entrepreneurs’ Social relationships. The authors offer an original typology of Social relationships using 12 criteria. Interestingly, with regard to building blocks, besides those frequently considered such as trust, reciprocity and commitment, the authors also point to others more rarely and narrowly discussed, such as gratitude, satisfaction and affection. Similarly, the authors discuss the varied scope of sources, including workplace, family/friendship, past relationships, and ethnic or religious bonds. The findings of this study point to a variety of links between Social relationships and inter-organizational cooperation, including their positive and negative influences on one another. These links appear to be extremely dynamic, bi-directional and highly complex.

The purpose of this paper is to systematically review the literature published in past 33 years on behavioural biases in investment decision-making. The paper highlights the major gaps in the existing studies on behavioural biases. It also aims to raise specific questions for future research.

We employ systematic literature review (SLR) method in the present study. The prominence of research is assessed by studying the year of publication, journal of publication, country of study, types of statistical method, citation analysis and content analysis on the literature on behavioural biases. The present study is based on 117 selected articles published in peer- review journals between 1980 and 2013.

Much of the existing literature on behavioural biases indicates the limited research in emerging economies in this area, the dominance of secondary data-based empirical research, the lack of empirical research on individuals who exhibit herd behaviour, the focus on equity in home bias, and indecisive empirical findings on herding bias.

This study focuses on individuals’ behavioural biases in investment decision-making. Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection.

The paper covers a considerable period of time (1980-2013). To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment decision-making.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

The increased concerns for the environment have led organizations, businesses and nations to act environmentally friendly. This has also pressurized the banking sector to adopt green practices. However, there is a dearth of studies related to green banking (G-banking) adoption practices (GBAP) on banking performance. Hence, by considering the resource-based view theory, this study aims to examine the impact of GBAP on banking performance, i.e. financial, operational and environmental performance.

The data was acquired from banking personnel in Pakistan using a five-point Likert scale questionnaire and a non-probability purposive selection technique. In total, 400 responses were gathered, on which data screening was performed to detect and delete outliers. On a useful sample of 360, partial least square-structural equation modeling was used to validate the hypotheses.

The findings revealed that GBAP positively affects the environmental, operational and financial performance of the banks. The findings further revealed that GBAP largely affects environmental performance followed by operational performance and financial performance, respectively.

The study findings offer various insights to the policymakers and the banking sector to better implement G-banking practices in improving banking performance.

To the best of the authors’ knowledge, this is one of the first studies to look at the effect of GBAP on key performance outcomes, i.e. financial and operational performance. This study also verifies the use of resource-based perspective theory in the context of G-banking.

To look at investor reactions to US investments made in India. Specifically, the authors look at the stock price reaction when US firms invest in the Indian market.

The authors look at investor reactions to US investments made in India, using event study methodology.

The authors' results indicate that there is a variation in market's reaction across firms belonging to different industries. They find mixed investor response to investments in India. The firms experience both positive and negative abnormal returns. There are also number of firms for which they do not get any significant results. Also, possible reasons for why there were no significant results for some firms: small investment by US firms in comparison to total investments, and most of the investments studied were sequential and not the first investment by a firm to Indian market. They also carry out a regression analysis, where they regress abnormal returns on important firm level characteristics, such as firm size, cash flows, and research and development expenditure. The authors find firm size has a significant positive impact on abnormal returns.

There is a need to carry out this study for a larger sample size over a larger time period, such that one can distinguish between first time investment and sequential investments. On average for their sample, investment in India by the US firms is small relative to their overall investment. This explains the lack of investor reaction for some cases. For future studies, it would be useful to look at high‐investment sectors in India.

Multinational network hypothesis, in line with internalization theory argue that due to differential degree of economic development between USA and developing countries, US firms' investments in these countries will enhance their multinational network. The multinational expansion will in turn substantially enhance firms' ability to internalize its foreign operations profitably, increasing shareholders' wealth. The authors do find these for some US firms.

There are no studies to the best of our knowledge on the Indian market.

This study was inspired by the emergence of Massive Open Online Courses (henceforth MOOCs) as an e-learning trend of recent times, attracting huge enrollment across the globe. Studies revealed that MOOCs had been getting extensive attention by educational circles in India, but whether its acceptability is limited only among learning communities of country’s top-notch universities like Indian Institute of Science (IISc), Indian Institute of Technology (IITs), Indian Institute of Management (IIMs), and among Central Universities; or it has attracted equally the learners of State Universities spreading across every nook and corner of this huge country is yet to be studied. These State Universities virtually uphold the country’s higher education sector by catering learning ambitions of largest number of students. The present study investigated the penetration of MOOCs among students and teachers of State Universities in India.

A qualitative survey was conducted taking 10 reputed State Universities and 480 respondents (400 were students, and 80 were teachers) as samples. Semi-structured in-depth interviews were also conducted among 25 respondent students and teachers. Descriptive statistics, such as frequency and percentages, as well as inferential statistics, such as Likert scale and analysis of variance, were employed in analyzing the study.

The findings revealed that MOOCs have been successful in meeting the learning goals of the learners and teachers of these State Universities complementing their traditional learning environment at universities and by providing them a constant scope for re-skill and up-skill; still, participation in MOOCs is low, especially among females due to lack of awareness, inadequate infrastructure, and resultant poor completion rate.

The current study is going to be helpful to the Indian policy makers and all concerned in creating a healthy atmosphere for making MOOCs accessible to students and thereby leveraging its potential to increase the quality of higher education across country as it exhibits a clear picture of the current state of its penetration, problems and possibilities among teachers and students of State Universities that conforms the largest section of Indian intelligentsia. The findings can be used to compare perceptions of students' and teachers' from other developing countries also.

This study is the reporting of an original survey conducted in India and the write up is based on the analysis and findings of the survey results.