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Article
Publication date: 2 January 2023

Le-Vinh-Lam Doan and Alasdair Rae

With access to the large-scale search data from Rightmove plc, the paper firstly indicated the possibility of using user-generated data from online property portals to predict…

180

Abstract

Purpose

With access to the large-scale search data from Rightmove plc, the paper firstly indicated the possibility of using user-generated data from online property portals to predict housing market activities and secondly embraced a GIS approach to explore what people search for housing and what they chose and investigated the issue of mismatch between search patterns and revealed patterns. Based on the analysis, the paper contributes a visual GIS-based approach which may help planners and designers to make more informed decisions related to new housing supply, particularly where to build, what to build and how many to build.

Design/methodology/approach

The paper used the 2013 housing search data from Rightmove and the 2013 price data from Land Registry with transactions made after the search period and embraced a GIS approach to explore the potential housing demand patterns and the mismatch between searches and sales. In the analysis, the paper employed the K-means approach to group prices into five levels and used GIS software to draw maps based on these price levels. The paper also employed a simple analysis of linear regression based on the coefficient of determination to investigate the relationship between online property views and values of house sales.

Findings

The result indicated the strong relationship between online property views and the values of house sales, implying the possibility of using search data from online property portals to predict housing market activities. It then explore the spatial housing demand patterns based on searches and showed a mismatch between the spatial patterns of housing search and actual moves across submarkets. The findings may not be very surprising but the main objective of the paper is to open up a potentially useful methodological approach which could be extended in future research.

Research limitations/implications

It is important to identify search patterns from people who search with the intention to buy houses and from people who search with no intention to purchase properties. Rightmove data do not adequately represent housing search activity, and therefore more attention should be paid to this issue. The analysis of housing search helps us have a better understanding of households' preferences to better estimate housing demand and develop search-based prediction models. It also helps us identify spatial and structural submarkets and examine the mismatches between current housing stock and housing demand in submarkets.

Social implications

The GIS approach in this paper may help planners and designers better allocate land resources for new housing supply based on households' spatial and structural preferences by identifying high and low demand areas with high searches relative to low housing stocks. Furthermore, the analysis of housing search patterns helps identify areas with latent demand, and when combined with the analysis of transaction patterns, it is possible to realise the areas with a lack of housing supply relative to excess demand or a lack of latent demand relative to the housing stock.

Originality/value

The paper proves the usefulness of a GIS approach to investigate households' preferences and aspirations through search data from online property portals. The contribution of the paper is the visual GIS-based approach, and based on this approach the paper fills the international knowledge gap in exploring effective approaches to analysing user-generated search data and market outcome data in combination.

Available. Open Access. Open Access
Article
Publication date: 3 August 2015

Alasdair Rae

The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on…

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Abstract

Purpose

The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on the spatial distribution of mortgage finance and to highlight the different lending patterns of seven major UK banks. It also examines the relationship between the distribution of mortgage finance and socio-economic status at the local level.

Design/methodology/approach

The methodology is based on simple quantitative techniques, including spatial analysis, location quotient analysis and socio-economic classification. Lending data for Great Britain’s 10,000 postcode sectors are the basis for analysis here.

Findings

The results suggest that some banks lend significantly less than others in poorer areas, but, owing to a lack of data, it is not possible to say why. It is possible to identify banks that appear to change their lending patterns in areas with different socio-economic characteristics. The paper concludes by reflecting on key messages and by making a small number of recommendations to improve transparency in the sector.

Research limitations/implications

In the absence of demand-side metrics, it is not possible to determine which banks lend disproportionately high or low amounts in poorer areas.

Practical implications

This paper has implications in relation to increasing financial transparency in the residential mortgage sector. The most important implication would be to highlight the fact that this new data – whilst a welcome development – is a long way from providing proper transparency in the mortgage lending sector.

Originality/value

This paper fills a gap in the international literature in relation to our understanding of the geography of mortgage lending in a major world economy. It also highlights important differential lending patterns in relation to socio-economic status at the sub-national level.

Details

Journal of European Real Estate Research, vol. 8 no. 2
Type: Research Article
ISSN: 1753-9269

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Book part
Publication date: 21 November 2022

Judie Gannon, Sally Bonneywell, Colleen Harding and Sally Jackson

This chapter aims to examine the ways coaching and mentoring are currently leveraged to deliver leadership development in higher education institutions. By exploring the variety…

Abstract

This chapter aims to examine the ways coaching and mentoring are currently leveraged to deliver leadership development in higher education institutions. By exploring the variety of coaching and mentoring approaches and their deployment at different levels and across different institutions we are able to indicate opportunities for further enhancing leadership development in the sector through coaching and mentoring. The chapter examines peer-reviewed articles, sector reports and insights from key informants crafted into mini case studies. Mentoring emerges as a default approach to leadership development, in particular at early career stages and where inclusivity and diversity feature as part of leadership development programmes. Coaching is evident at the senior levels and offers a wider range of individual leader, senior team and organisational leadership development opportunities. Our cases highlight the range of responses and sophistication of coaching approaches and practices, from the highly embedded to other more piecemeal examples. The findings emphasise the importance of empirical research in this area to better understand and inform the sector of the wider benefits and opportunities of coaching and mentoring in supporting leadership development. Opportunities to support greater inclusivity and diversity in leadership should consider coaching approaches and practices too. This exploration of coaching and mentoring identifies why shifts towards coaching may be evident. It challenges those in the sector – researchers, people management and organisational developers, as well as senior leaders – to adopt more integrated and embedded coaching and mentoring initiatives to support the sector in addressing its current challenges.

Details

International Perspectives on Leadership in Higher Education
Type: Book
ISBN: 978-1-80262-305-5

Keywords

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Article
Publication date: 29 October 2019

Senthilkumar Venkatachalam, Alasdair Marshall, Udechukwu Ojiako and Chamabondo Sophia Chanshi

The purpose of this paper is to explore, using fine-grained exploratory multi-case studies, organisational learning practices – and associated constraints – impacting the…

516

Abstract

Purpose

The purpose of this paper is to explore, using fine-grained exploratory multi-case studies, organisational learning practices – and associated constraints – impacting the performance of four small- and medium-sized project organisations which deliver energy efficiency projects in South Africa and whose learning practice mixes are of wider significance for the emerging project society in the region.

Design/methodology/approach

The unit of analysis is the Energy Efficiency Demand Side Management (EEDSM) programme; a US$104m grant funded the initiative directed at supporting energy efficient retro-fit projects across local municipalities in South Africa. Thematic analysis is undertaken, based on multiple exploratory interviews with project practitioners working for small- and medium-sized EEDSM project organisations.

Findings

Recognising the criticality of tacit knowledge as a focus for learning, within unstructured, novel, non-routine and technically specialised learning contexts in particular, the widespread lack of organisational harnessing through linkages to strategy and performance are noted, and advocacy is offered for the development of appropriate learning cultures linked to communities of practice that bring specialists together from across regional project societies.

Research limitations/implications

The socio-political context of the EEDSM programme, although briefly addressed for its organisational cultural implications, was not given detailed consideration in the exploratory interviews. This would have enhanced the idiographic complexity of the findings, while also reducing prospects for distilling generalisable organisational learning improvement opportunities for emerging project societies. However, the study does not seek to provide evidence for specific learning practice effects on performance as this was not something the interviewees felt able to comment on in significant detail.

Originality/value

Learning practice studies for small- and medium-sized project organisations remains sparse, so are studies of business environments within developing countries, in general, or sub-Saharan Africa, in particular. Looking beyond narrow individual project views of performance, the present study’s project society-based business environment is theorised as both constraining and benefiting from the project-learning practices discussed by the respondents.

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