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Open Access
Article
Publication date: 15 June 2012

Steve Lambert

Sustainable leadership as a concept is both in its infancy and also under researched, with much of the previous work in the area concentrating solely on the compulsory sector…

Abstract

Sustainable leadership as a concept is both in its infancy and also under researched, with much of the previous work in the area concentrating solely on the compulsory sector. Lambert (2011) argues that existing models are not entirely appropriate for further education due to the landscape in which colleges operate. This paper presents the findings of empirical work which sought the views of principals of general further education colleges (equivalent to United States Community Colleges) in the south east of England and London, UK, as to whether they are in agreement with the component aspects of the framework of sustainable leadership for further education colleges suggested by Lambert (2011).

Details

Journal of Leadership Education, vol. 11 no. 2
Type: Research Article
ISSN: 1552-9045

Open Access
Article
Publication date: 8 November 2022

Dagmara Lewicka and Naresh Bollampally

This paper aims to identify trust’s role in the student–lecturer relationship and to identify the factors that build trust in this relationship, as well as the mechanisms through…

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Abstract

Purpose

This paper aims to identify trust’s role in the student–lecturer relationship and to identify the factors that build trust in this relationship, as well as the mechanisms through which trust influences entrepreneurial intentions and behaviours.

Design/methodology/approach

This paper presents the results of empirical research based on a semi-structured interview questionnaire. The participants included 12 entrepreneurs, 25–40 years old, who were running their own small enterprises. They were categorised by industry.

Findings

This study’s results suggest that entrepreneurship education based on trust in student–lecturer relationships contributes to the formation of entrepreneurial intentions and behaviours. This study has identified the factors that build trust between students and lecturers. Three mechanisms were also identified as having the greatest impact on transforming entrepreneurial intentions into actions: increasing self-efficacy, cultivating a broader perspective and encouraging initiative and risk taking.

Research limitations/implications

An obvious limitation of this research is its small sample size. Moreover, this study’s respondents were all entrepreneurs running small companies – mainly start-ups – with up to 50 employees established by entrepreneurs up to four years after graduation. Additionally, the majority of the sample were men of Indian nationality. In subsequent studies, including more diverse respondents would be useful. Moreover, a quantitative survey of a larger sample with greater gender and cultural diversity would be worthwhile to test the proposed model.

Practical implications

This paper helps explain the trust’s importance in the student–lecturer relationship. This paper reveals how relationships should be established to support entrepreneurial learning outcomes.

Originality/value

The results of this research expand the knowledge on trust-building between students and lecturers that can develop successful entrepreneurial attitudes amongst students and help students succeed as entrepreneurs. To the authors’ knowledge, no previous research had examined this topic. This study’s results are probably more universally relevant than our limited sample suggests, so further in-depth research is needed.

Details

Asia Pacific Journal of Innovation and Entrepreneurship, vol. 16 no. 2
Type: Research Article
ISSN: 2071-1395

Keywords

Open Access
Article
Publication date: 11 July 2023

Miroslav Despotovic, David Koch, Eric Stumpe, Wolfgang A. Brunauer and Matthias Zeppelzauer

In this study the authors aim to outline new ways of information extraction for automated valuation models, which in turn would help to increase transparency in valuation…

Abstract

Purpose

In this study the authors aim to outline new ways of information extraction for automated valuation models, which in turn would help to increase transparency in valuation procedures and thus contribute to more reliable statements about the value of real estate.

Design/methodology/approach

The authors hypothesize that empirical error in the interpretation and qualitative assessment of visual content can be minimized by collating the assessments of multiple individuals and through use of repeated trials. Motivated by this problem, the authors developed an experimental approach for semi-automatic extraction of qualitative real estate metadata based on Comparative Judgments and Deep Learning. The authors evaluate the feasibility of our approach with the help of Hedonic Models.

Findings

The results show that the collated assessments of qualitative features of interior images show a notable effect on the price models and thus over potential for further research within this paradigm.

Originality/value

To the best of the authors’ knowledge, this is the first approach that combines and collates the subjective ratings of visual features and deep learning for real estate use cases.

Details

Journal of European Real Estate Research, vol. 16 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

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