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The research examines the impact of heavy rail transport infrastructure on residential property prices in Melbourne at different stages of project development using the Mernda Rail Extension Project as a case study.

A difference-in-difference approach is used to quantitatively measure the magnitude of change in the house price at different stages of rail transport infrastructure project development.

When controlling for a range of structural, neighbourhood, and locational attributes, the authors find that properties within 800 m from the proposed train station are 8.7% higher in value than those outside 800 m (but within 1,600 m). However, during the project's construction, the project's benefits in the form of house price appreciation are not fully realised. “Unrealised benefit” is attributed to the negative externalities of construction works and apprehensions associated with the project's shelving and time delays.

Depending on the availability of data on residential property transactions in the future, a spatial analysis of rail infrastructure's radius of catchment effect is needed.

Findings from this research are beneficial for policymakers concerned with transport and land use planning, property valuation for taxation and mortgage purposes.

This research contributes to the knowledge of the impact of the rail project on house prices in Melbourne. While there are earlier studies on the topic, there is limited understanding of this prime Australian city attractive to domestic and foreign investors.

The basic unit of the family is the married couple who are brought together through various means, the internet being an additional medium. This study is an attempt to capture changes in the realm of family through a detailed analysis of the matrimonial websites in India from a sociological perspective. With the advent of the internet technology, it explores whether and how the internet as a new medium of spouse selection influences marriage choices and family dynamics during match-fixing. It seeks to unweave the individual–family–community dynamics in the context of changing gender norms. The findings of the study are based on mixed-methods through the use of both qualitative and quantitative data gathered from the website and personal interviews. These data were further strengthened through the walkthrough method and participant observation. The findings of this study reflect upon the prescriptive, restrictive and supportive role played by the family in the context of online spouse selection. It also documents resilience and change (in terms of family structure and norms) in the realm of the family in the context of changing matrimonial preferences.

India aspires for high economic growth of around 8‐9 percent over next few years. Higher economic growth would lead to higher production and consumption, more energy use and more CO₂ emissions. At a time when CO₂ emissions reductions are becoming an important point of debate and fast erosion of fossil fuel reserves all over the world, it is necessary to identify technological choices that reduce CO₂ emission and dependence on fossil fuels. A few modeling studies have explored India's technology options. The Integrated Energy Policy (IEP) report of the Planning Commission of India presents different scenarios for energy supply. The IEP model is however an energy technology model and does not consider a feed back into the economy due to changes in technological choice. This paper aims to follow the IEP in the kind of scenario's envisaged and attempts to investigate its macro‐economic impacts.

The Integrated Research and Action for Development model is an activity analysis model that uses a social accounting matrix to account for inter‐sectoral influence and which allows for a two‐way interaction between energy sectors (coal, oil, natural gas, and electricity) and other sectors of the economy. This paper tries to have three scenarios that are comparable to IEP in terms of specifications and their resultant energy demand (Mtoe).

The analyses prove that changing technological choice results in gross domestic product gains, and reduction in energy demand and CO₂ emission. The results show that the policies considered can have adverse welfare impacts.

This paper helps in providing an insight into the macro‐economic impacts of the IEP scenarios. The two‐way dependence of technological choice and output shows the gains and loses out of moving to more costlier but low emission‐based power generation technology.

The present study intends to shed light on behaviour of customers towards usage of social media for purchasing decisions. The study proposes an extension to technology acceptance model (TAM) to analyse the significance of monetary benefits and information reliability on customers' intention to use social media.

The sample was drawn from social media users of north-western region of India (n = 622). The proposed model was tested using exploratory factor analysis and structural equation modelling.

Results indicate that monetary benefits and perceived ease of use have significant influence on customers' intention to use social media, while information reliability and monetary benefits significantly influence only through perceived usefulness.

The findings are valuable to marketers to acknowledge the potential of social media to reach to masses by providing timely and reliable information. The study also reveals that website/app developers should implement a user-friendly interface and reliable content to influence customers' usage behaviour.

The study is a unique attempt to examine the effect of monetary benefits and information reliability with TAM's key constructs in the context of social media adoption. Studies undertaken aforementioned dimensions are mainly concerned with examining direct contribution of social media and its effect on purchase decisions.

The purpose of the paper is to present research trends in the food supply chain in the context of changes in food systems due to globalization, urbanization, environmental concerns, technological changes and changes in food consumption patterns in the world.

The present investigation was performed by bibliometric analysis using the VOSviewer software, visualization software developed by Nees and Waltman (2020). In this work we performed co-citation, bibliographic coupling and keyword evolution analyses.

The results show that research in the food supply chain is rapidly changing and growing. By applying co-citation analysis, The authors found that the intellectual structure of the food supply chain has evolved around six clusters, namely, (a) collaboration and integration in the supply chain (b) sustainable supply chain management, (c) food supply chain management (FSCM), (d) models for decision-making in the food supply chain, (e) risk management in the supply chain and (g) quality and food logistics in the supply chain. However, based on bibliographic coupling analysis, The authors find that new or emerging research niches are moving toward food supply market access, innovation and technology, food waste management and halal FSCM. Nevertheless, the authors found that the existing research in each of the thematic clusters is not exhaustive.

The limitation of the research is that the analysis mainly relates only to the bibliometric approach and only one database, namely, Scopus. Broader inclusion of databases and deeper application of content analysis could expand the results of this research.

There are limited studies that have examined research trends in food supply chains in both developed and developing countries using bibliometric analysis. The present investigation is novel in identifying the thematic research clusters in the food supply chain, emerging issues and likely future research directions. This is important given the dynamics, consumer demand for quality food, technological changes and environmental sustainability issues in food systems.

The purpose of this paper is to understand the new kind of investors – women entrepreneurs – and to find out the factors that drive their investment behaviour and investment decisions.

The approach of qualitative enquiry was used for the research in which 18 in-depth exploratory interviews were conducted to identify the determinants of the investment behaviour shown by women entrepreneurs, a growing segment in investment. The accumulated data was analysed using open coding.

The research show that women entrepreneurs consider investment as a long-term instrument are risk averse and quite conservative. They are willing to take risks in business but not for making investment decisions. The reasons for this low-risk behaviour include lack of time to understand investments and lack of knowledge about various products. The research asserts that if they spend time to be informed about the nuances of investment instruments, they are likely to take risks for their investments as well. The interviews also reflect that women entrepreneurs often mimic the investment behaviour of their parents.

The sample for this research was taken from only two cities in India and a broader research in other cities as well will expand the understanding of investment behaviours demonstrated by women entrepreneurs. The differences in women entrepreneurs’ investment behaviour due to culture and ethnicity of the respondent are also not considered.

The outcomes of the research will help the investment manager to get a better insight into the psychology of women entrepreneurs as investors. This will help them develop personalized and relevant portfolio recommendations. Second, the findings will help service providers to develop training modules for their investment advisors by sensitizing them to needs and wants of women entrepreneurs as potential investors. Third, the research will be of interest for policymakers and researchers to understand the determinants of personal investment decision-making amongst women entrepreneurs. Finally, it will help women entrepreneurs understand and mitigate their biases while taking investment decisions. It will lead them to take wiser investment decisions, thereby reducing the risk and maximizing opportunities of returns.

The research will provide opportunities for enhancing gender equality amongst investors. This can be achieved by educating the investment advisors on the traits and preferences of women entrepreneurs as investors. Designing and delivering specific workshops on investment awareness for women entrepreneurs can also be accomplished based on the findings of this research.

To the researcher’s best knowledge, the investment behaviour of women entrepreneurs in India has been little investigated. This study appears to be the first qualitative research attempt in that direction. This paper will be useful in understanding the behavioural biases by women entrepreneurs in considering their personal investment decisions.

Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?

The authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.

The findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.

The paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.

The purpose of this paper is to identify the role of cognitive styles (CgStys) and self-efficacy (SEff) in the formation of social entrepreneurial intentions (SEIs) among the students of a premier multi-campus technical university in India using the theory of planned behaviour as the research framework.

A 54-item questionnaire was responded by 550 students. The data were collected by employing a systematic random sampling method. In the total sample of the respondents, 67 per cent (n=368) were male and 33 per cent (n=182) were female and the average age of the respondents was 20 years. Structural equation modelling has been used for data analysis.

The results of the study support that the relationship between antecedents (CgStys and SEff) and SEIs was mediated by the attitude towards becoming a social entrepreneur, subjective norms and perceived behavioural control. Findings of this research study also suggest that students with high level of SEff are more inclined towards social entrepreneurial activities.

The study was confined to the students from a technical university, and it may not give the generalized findings for students from the non-technical stream.

The finding of this research study will facilitate policy makers and educators for promoting social entrepreneurial activities at the university level. Based on the results and findings of the study, the educators may improve upon the support system to help and motivate students to opt social entrepreneurship as their career choice.

This is one of its kinds of research conducted in the Indian context. Findings of this research will be helpful in predicting how the intention process of Indian students is affected by their CgStys and SEff.