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This paper aims to develop an integrated and comprehensive framework for building and property management (BAPM) for state schools in New Zealand. The results are expected to clarify the complicated process and provide a guide for school boards to manage their property effectively and efficiently. It also seeks to explore the relationship between the key stakeholders and how this impacts the BAPM.

In addition, to review literature, qualitative data were obtained through semi-structured interviews with 16 top managers in state schools. The data analysis results were used to develop the framework using the integration definition for process modelling.

The findings contribute to understanding the processes in the BAPM in state schools of school board members by adding input, output, control and mechanism elements in each activity of the processes. The systematic models with main activities and people involved are presented as a guide for school boards in state schools in New Zealand. Challenges and issues in the processes are also identified to draw further study for both school boards and the Ministry of Education.

The research was conducted with the participation of stakeholders who are sampled from top managers in state schools in New Zealand. A larger scale of participants from other schools may generalise the findings further.

The research findings are based on the needs and requirements of the stakeholders to understand, implement and control the BAPM for their schools and aid them to achieve the best value for money spending on the management.

The paper highlights the complexity of the BAPM in schools, presents the roles and responsibilities of the school stakeholders and proposes a systematic framework to assist the school managers in this management process.

The purpose of this paper is to: first, test if information-adjusted noise model (IANM) can be applied in China; second, quantify noise trader risk, overreaction, underreaction and information pricing errors in that market; and third, explain the relationship between noise trader risk and return.

The authors use a behavioural asset pricing model (BAPM), CAPM, the information-adjusted noise model and model proposed by Ramiah and Davidson (2010).

The findings show that noise traders are active 99.7 per cent of the time on the Shenzhen A-share market. Furthermore, our results suggest that the Shenzhen market overreacts 41 per cent of the time, underreacts 18 per cent of the time and information pricing errors occur 40 per cent of the time.

Various methods have been applied to the Chinese stock market in an effort to measure noise trading activities and all of them failed to account for information arrival. Our study uses a superior and alternative model to detect noise trader risk, overreaction and underreaction in China.

The primary objective of the study is to discover the most prominent criteria and sub-criteria among environmental issues, social dimensions and corporate governance factors that may impact individual equity investors' investment decisions.

The present study collected data from 438 individual equity investors from the North Indian region. To achieve the objectives of the study, a fuzzy analytic hierarchy process (Fuzzy AHP) was applied. The key considerations of the study were environmental, social and governance (ESG) factors.

The governance criterion was discovered to be the most significant factor influencing individual equity investors' investment decisions among the three ESG factors, followed by environmental criteria, while social criteria were shown to be the least influential.

The present study solely looked at ESG issues as drivers of stock investors' investment decisions. In the current world, however, many other factors, including behavioral biases, accounting information, ownership structure and fundamental analysis, can have a substantial influence on investors' investment decisions.

The study's findings widen the theoretical contribution in the field of responsible investment by asserting how ESG factors influence investors' investment decisions in the equity market. From a practical standpoint, this study applies to retail and institutional investors, portfolio managers, financial advisors, market regulators, corporations and society at large.

To the best of authors knowledge, no attempt has been made to prioritize the ESG issues that impact the investment decisions of individual equity investors. Ergo, this study contributes to the existing literature on socially responsible investment.

The purpose of this paper is to critically examine the existing literature on sustainable investments and propose an integrated conceptual framework for measuring socially responsible investment intention of investors.

Based on the theory of planned behaviour, the study discusses an integrated conceptual framework by thoroughly analysing the empirical studies of last 18 years, from 2001 to 2018. Some of the important measures of these studies have been reviewed, such as country of study, research methodology applied, sample size and respondents selected, model/theory applied, variables selected and significant findings of the study.

The study posits that collectivism, knowledge about sustainable investment, pro-environmental attitude and perceived risk will have a positive impact on attitude (ATT) towards SRI. Moreover, attitude (ATT) and subjective norms (SN) will be positively related to intention (INT) along with the mediating effect of social investing efficacy (SIE) and moderating effects of religiosity beliefs.

Besides implications for financial managers, various government bodies, prospective investors and other stakeholders, the study will provide impetus to companies for designing more sustainable funds that can promulgate the values and beliefs of investors.

The study incrementally contributes to the literature by way of suggesting a conceptual framework that can be empirically tested by future researchers.