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Article
Publication date: 30 April 2024

Sophie Martin

This paper aims to demonstrate to lawmakers that the addition of art dealers to the designated non-financial businesses and professions (DNFBPs) definition would provide Australia…

65

Abstract

Purpose

This paper aims to demonstrate to lawmakers that the addition of art dealers to the designated non-financial businesses and professions (DNFBPs) definition would provide Australia with more comprehensive protection against money laundering within the art market.

Design/methodology/approach

The paper opted for an exploratory study using doctrinal and jurisdictional comparative analysis that focused on arguments for and against the inclusion of art dealers in respective DNFBPs definitions. Evaluation of these arguments concludes that art dealers should be included in Australia’s DNFBPs definition and subject to anti-money laundering (AML) regulation.

Findings

The current omission of art dealers from Australia’s DNFBPs definition perpetuates AML vulnerabilities within the Australian art market.

Originality/value

This paper fulfils an identified need to study high-value dealers not included in Australia’s DNFBPs definition and provide arguments for and against the inclusion of Australian art dealers in the listed DNFBP.

Details

Journal of Money Laundering Control, vol. 27 no. 6
Type: Research Article
ISSN: 1368-5201

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Article
Publication date: 25 April 2024

Suhair Alkilani, Martin Loosemore, Ahmed W.A. Hammad and Sophie-May Kerr

The purpose of this paper is to use Bourdieu’s Theory of Capital–Field–Habitus to explore how refugees, asylum seekers and migrants accumulate and mobilise social, cultural…

197

Abstract

Purpose

The purpose of this paper is to use Bourdieu’s Theory of Capital–Field–Habitus to explore how refugees, asylum seekers and migrants accumulate and mobilise social, cultural, symbolic and economic capital to find meaningful work in the Australian construction industry.

Design/methodology/approach

The paper reports the results of a survey of refugees, asylum seekers and migrants who have either successfully or unsuccessfully searched for employment in the Australian construction industry.

Findings

The findings dispel widely held negative stereotypes of about this group by describing a highly capable workforce which could address significant skills shortages in the industry, while concurrently diversifying the workforce. However, it is found that refugees, asylum seekers and migrants face considerable barriers to finding meaningful employment in the construction industry. In circumventing these barriers, education institutions, charities and community-based organisations play an especially important role, alongside friends and family networks. They do this by helping refugees, asylum seekers and migrants accumulate and deploy the necessary capital to secure meaningful work in the construction industry. Disappointingly, it is also found that the construction industry does little to help facilitate capital accumulation and deployment for this group, despite the urgent need to address diversity and critical skills shortages.

Originality/value

Employing Pierre Bourdieu’s Theory of Capital–Field–Habitus, the findings make a number of new theoretical and practical contributions to the limited body of international research relating to the employment of refugees, asylum seekers and migrant workers in the construction. The results are important because meaningful employment is widely accepted to be the single most factor in the successful integration of refugees, asylum seekers and migrants into a host society and the construction industry represents an important source of potential employment for them.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 2 October 2020

Martin Powell and Sophie King–Hill

This article brings together the literatures on policy learning and lesson drawing with the intra-crisis learning literature in order to assess “learning lessons” in the COVID-19…

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Abstract

Purpose

This article brings together the literatures on policy learning and lesson drawing with the intra-crisis learning literature in order to assess “learning lessons” in the COVID-19 pandemic.

Design/methodology/approach

It carries out a structured review of articles that seek to provide lessons for the pandemic. It examines these articles using interpretative content analysis to apply the criteria of prospective policy transfer to the material.

Findings

Application of the criteria of prospective policy transfer suggests that lesson drawing was fairly limited. It is often not fully clear why nations were selected. Many articles were brief and provided limited detail, meaning that there was little depth on issues such as problems and goals and on policy performance or policy success or failure. There was limited discussion of transferability of lessons, and few clear lessons could be drawn. Finally, the extent to which it was possible to learn lessons in a “non-routine” or “less routine” crisis, under conditions of threat, uncertainty and urgency was generally not discussed.

Practical implications

The criteria within the framework of prospective policy transfer provide a template for policy makers to assess lessons.

Originality/value

This article indicates the problems of attempting to draw lessons from the past or from other nations to an unprecedented crisis, where decision-making is characterized by elements of threat, urgency and uncertainty.

Details

International Journal of Sociology and Social Policy, vol. 40 no. 9/10
Type: Research Article
ISSN: 0144-333X

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Article
Publication date: 25 February 2025

Feibai Huang, Jonathan Rothenbusch, Konstantin Schütz, Sophie Fellenz and Björn-Martin Kurzrock

We demonstrate the practical application of machine learning (ML) techniques in document processing, addressing the increasing need for digitalization in the real estate industry…

5

Abstract

Purpose

We demonstrate the practical application of machine learning (ML) techniques in document processing, addressing the increasing need for digitalization in the real estate industry and beyond. Our focus lies on identifying efficient algorithms for extracting individual documents from multi-page PDF files. Through the implementation of these algorithms, organizations can accelerate the digitization of paper-based files on a large scale, eliminating the laborious process of one-by- one scanning. Additionally, we showcase ML-powered methods for automating the classification of both digital and digitized documents, thereby simplifying the categorization process.

Design/methodology/approach

We compare two segmentation models that are presented in this paper to analyze the individual pages within a bulk scan, identifying the starting and ending points of each document contained in the PDF. This process involves extracting relevant features from both the textual content and page design elements, such as fonts, layouts and existing page numbers. By leveraging these features, the algorithm accurately splits multi-document PDFs into their respective components. An outlook is provided with a classification code that effectively categorizes the segmented documents into different real estate document classes.

Findings

The case study provides an overview of different ML methods employed in the development of these models while also evaluating their performance across various conditions. As a result, it offers insight into solutions and lessons learned for processing documents in real estate on a case-by-case basis. The findings presented in this study lay the groundwork for addressing this prevalent problem. The methods, for which we provide the code as open source, establish a solid foundation for expediting real estate document processing, enabling a seamless transition from scanning or inbox management to digital storage, ultimately facilitating machine-based information extraction.

Practical implications

The process of digitally managing documents in the real estate industry can be a daunting task, particularly due to the substantial volume of documents involved, whether they are paper-based, digitized or in digital formats. Our approach aims to streamline this often tedious and time-consuming process by offering two models as simplified solutions that encourage companies to embrace much-needed digitization. The methods we present in this context are crucial for digitizing all facets of real estate management, offering significant potential in advancing PropTech business cases. The open-source codes can be trained further by researchers and practitioners with access to large volumes of documents.

Originality/value

This study illustrates effective methods for processing paper-based, digitized and digital files, along with tailored ML models designed to enhance these methods, particularly within the real estate sector. The methods are showcased on two datasets, and lessons learned are discussed.

Details

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

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Article
Publication date: 17 October 2018

Andrew Martin Cox, Stephen Pinfield and Sophie Rutter

The purpose of this paper is to conceptualise the issues of alignment for changing academic libraries by using and extending McKinsey’s 7S model.

6992

Abstract

Purpose

The purpose of this paper is to conceptualise the issues of alignment for changing academic libraries by using and extending McKinsey’s 7S model.

Design/methodology/approach

Theoretical work was conducted to consider and extend the 7S model for the situation of academic libraries. Empirical data were then used to confirm the value of these extensions and suggest further changes. The data to support the analysis were drawn from 33 interviews with librarians, library and non-library academics and experts, and a survey of UK library staff.

Findings

In the academic library context, the 7S model can be usefully extended to include three library functions (stuff, space and services) and users. It can also include institutional influences and stakeholders, and aspects of the external environment or situation, including suppliers and allies. The revised model then provides a useful framework within which data about library change can be analysed. Perceived barriers to successful performance fit the model and enable the identification of seven challenges of alignment.

Research limitations/implications

The resulting model has potential applications such as in the structuring analysis of academic library performance, mapping future directions of development and for exploring variations across the sector and internationally.

Practical implications

The revised model can be used by practitioners to think through their own strategic position and to act to shape their future, in the light of seven major areas of alignment.

Originality/value

The paper extends a well-known model used in strategy, to produce a more comprehensive, sector-specific analytic tool.

Details

Library Management, vol. 40 no. 5
Type: Research Article
ISSN: 0143-5124

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Article
Publication date: 30 April 2024

Sophie van Roosmale, Amaryllis Audenaert and Jasmine Meysman

This paper aims to highlight the expanding link between facility management (FM) and building automation and control systems (BACS) through a review of literature. It examines the…

204

Abstract

Purpose

This paper aims to highlight the expanding link between facility management (FM) and building automation and control systems (BACS) through a review of literature. It examines the opportunities and challenges of BACS for facility managers and proposes solutions for mitigating the risks associated with BACS implementation.

Design/methodology/approach

This paper reviews various research papers to explore the positive influences of BACS on FM, such as support with strategic decision-making, predictive maintenance, energy efficiency and comfort improvement. It also discusses the challenges of BACS, including obsolescence, interoperability, vendor lock-in, reliability and security risks and suggests potential solutions based on existing literature.

Findings

BACS offers numerous opportunities for facility managers, such as improved decision-making, energy efficiency and comfort levels in office buildings. However, there are also risks associated with BACS implementation, including obsolescence, interoperability, vendor lock-in, reliability and security risks. These risks can be mitigated through measures such as hardware and software obsolescence management plans, functional requirement lists, wireless communication protocols, advanced feedback systems and increased awareness about BACS security.

Originality/value

To the best of the authors’ knowledge, no prior academic research has been conducted on the expanding link between FM and BACS. Although some papers have touched upon the opportunities and challenges of BACS for FM, this paper aims to provide a comprehensive overview of these findings by consolidating existing literature.

Details

Facilities , vol. 42 no. 7/8
Type: Research Article
ISSN: 0263-2772

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Book part
Publication date: 7 November 2022

Juan Antonio Fernandez, Emily M. David and Shaohui (Sophie) Chen

Abstract

Details

Innovative to the Core: Stories from China and the World
Type: Book
ISBN: 978-1-80455-084-7

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Book part
Publication date: 7 November 2022

Juan Antonio Fernandez, Emily M. David and Shaohui (Sophie) Chen

Abstract

Details

Innovative to the Core: Stories from China and the World
Type: Book
ISBN: 978-1-80455-084-7

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Article
Publication date: 28 July 2023

Hammad Ul Haq, Jiyoung Shin, Hyo Eun Cho and Sophie Junge

The purpose of this study is to examine the question of whether the repatriation adjustment process varies with different combinations of duration and purpose of international…

262

Abstract

Purpose

The purpose of this study is to examine the question of whether the repatriation adjustment process varies with different combinations of duration and purpose of international assignments.

Design/methodology/approach

A multiple-case study within one company was conducted based on in-depth interview data.

Findings

The authors find that learning-driven international assignments are more beneficial for career growth and receive better organizational support, as assignees are able to maintain regular communication (visibility) with the home unit. On the other hand, those on demand-driven, long-duration international assignments need to have a closer connection (integration) with employees in the host unit and find it challenging to maintain high visibility in the home unit simultaneously.

Originality/value

The authors contribute to existing research by highlighting that demand-driven assignees on longer assignments face greater challenges upon returning home. In addition, expatriates on short-term assignments face drastically fewer challenges than expatriates on longer assignments.

Details

Multinational Business Review, vol. 31 no. 4
Type: Research Article
ISSN: 1525-383X

Keywords

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Book part
Publication date: 26 April 2011

Janice Huber, M. Shaun Murphy and D. Jean Clandinin

Betta is the only person there to talk to when I get home. She is my family. (Field notes, May 9, 2007)I don't know what I want but the first thing I want is for my family to come…

Abstract

Betta is the only person there to talk to when I get home. She is my family. (Field notes, May 9, 2007)I don't know what I want but the first thing I want is for my family to come to Canada because everyone in my class has their family in Canada. (Ji-Sook's letter to Santa, December 5, 2006)

Details

Places of Curriculum Making
Type: Book
ISBN: 978-0-85724-828-2

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