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This study seeks to determine an appropriate form of yield analysis as a means of improving the supply of low cost rental housing within Australia.

Rental returns are quantified on a disaggregated basis based on the amalgamation of three major government property databases.

Much of the information on returns in low cost rental housing is based on erroneous assumptions. More accurate reporting of returns would put in place the appropriate risk premium for investment in low cost rental housing.

The study adds value by allowing policy makers to better understand the nature of returns required to increase the level of investment in the low cost end of the private rental market.

Spatially enabled taxation systems provide public policy makers in Australia with a conundrum. For the Valuers General who provide the fiscal cadastre for the taxation system, spatial enablement could lead to a central role in State Government taxation or to a sidelined role. This paper aims to address this issue.

The paper uses a survey of Valuers General.

The paper establishes the current extent of adoption of spatially enabled taxation systems, identifies current provision and uses of valuation data and explores possible future provision and uses of such data.

The sample size for survey may limit its use elsewhere.

The paper concludes that further integration and a unified national policy approach would be preferable.

The first published paper to establish the current extent of adoption of spatially enabled taxation systems and to identify current provision and uses of valuation data in Australasia.

Purpose – The aim of this chapter is to explore the existing relation between business activity and sustainability in Base of the Pyramid (BoP) contexts in order to shed light on the role that the business sector may have in poverty alleviation.Design/methodology/approach – Starting with a thorough review of the evolution of the BoP theory, the chapter moves on to critically examine corporate social responsibility (CSR) in poverty contexts, and suggests the adoption of a more comprehensive interpretation of CSR that fully incorporates sustainability – environmentally, economically, and socially – into business operation. Consecutively, the notion of “sustainable enterprise” (Hart, 2010) as an upgraded type of corporation that embraces sustainable development is explored, and is related to the BoP business models known as inclusive businesses (IB). Case study experiences from Latin America (i.e., Colombia) are used to exemplify IB implementation.Findings – The chapter highlights the relevance of IB as sustainable enterprises with the potential of significantly improving the living conditions for most impoverished communities, while being economically profitable and environmentally viable. From a sustainability viewpoint, the greatest challenge is found to be the achievement of a balance between a greater consumption and production at the BoP and the limited environmental capacity of the earth.Originality/value of chapter – Both, BoP and IB are two notions of very recent appearance within business–society literature, making this chapter a valuable contribution for the advancement of scholarly work in the field.

The purpose of this paper is to provide evidence on the relationship between artificial intelligence (AI) and financial inclusion to achieve sustainable development goals (SDGs), an agenda set by United Nations for 2030. Financial inclusion is an enabler of 8 of the 17 SDGs. This paper emphasizes the introduction of AI in the financial sector, which is indispensable for achieving financial inclusion and plays a crucial role in the achievement of SDGs.

This study adopts qualitative research methodology to highlight the significance of AI in achieving high levels of financial inclusion in an economy. Both narrative and comparative approaches are used to provide empirical evidence for reaching the UN SDGs target through AI-assisted financial inclusion.

AI implementation in finance enables people to take part in the formal financial sector and thus, enhances economic growth and reduces poverty.

This research is limited in its data. Only five top AI applications are chosen and comparison is made between two countries only. Future research should consider it as an established concept and include more data to strengthen the evidence.

The results of this paper will help policymakers convince governments and institutions to put their efforts toward AI implementation in financial infrastructure of countries.

This research is unique in providing real-life examples and cases demonstrating the significance of AI implementation in the financial sector. Recent literature lacks evidence on the relationship of AI, financial inclusion and SDGs. This study adds to the existing literature by compiling data on top AI applications and comparing the performance of countries in achieving financial inclusion with the help of AI.

This paper aims to examine the individual-level headquarters–subsidiary relationship issue of psychological attachment in multinational enterprises (MNEs). Antecedents to subsidiary manager identification and commitment to the MNE and subsidiary are explored.

Those in subsidiary manager roles regardless of country of origin were surveyed. Hypotheses were tested using partial least squared structural equation modeling.

For both MNE and subsidiary models, perceived prestige related to commitment. All components of positive interaction related to subsidiary commitment (but not identification), while just one related to MNE identification and commitment. For the MNE model only, collectivism positively related to identification and commitment, cultural distance positively related to commitment, geographic distance negatively related to commitment, and language similarity marginally negatively related to commitment. Organization-based self-esteem (OBSE) partially mediated relationships of perceived prestige and positive interaction with commitment in MNE and subsidiary models.

This microfoundational approach to psychological attachment in an MNE setting suggests similarities and differences for antecedents in MNEs and subsidiaries, as well as the importance of OBSE. This study is limited by its exclusion of other antecedent variables and types of attachment, and a cross-sectional study design.

MNEs can increase psychological attachment by communicating the importance of the MNE and/or subsidiary, developing processes to improve interactions with other organizational units, and demonstrating that employees are valued.

Exploration of the individual-level of analysis of headquarters–subsidiary relationships is rare, and different findings for the MNE and subsidiary are highlighted, something that is not fully explained by current research on psychological attachment.