Search results

1 – 3 of 3
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 13 February 2024

Marcelo Cajias and Anna Freudenreich

This is the first article to apply a machine learning approach to the analysis of time on market on real estate markets.

125

Abstract

Purpose

This is the first article to apply a machine learning approach to the analysis of time on market on real estate markets.

Design/methodology/approach

The random survival forest approach is introduced to the real estate market. The most important predictors of time on market are revealed and it is analyzed how the survival probability of residential rental apartments responds to these major characteristics.

Findings

Results show that price, living area, construction year, year of listing and the distances to the next hairdresser, bakery and city center have the greatest impact on the marketing time of residential apartments. The time on market for an apartment in Munich is lowest at a price of 750 € per month, an area of 60 m2, built in 1985 and is in a range of 200–400 meters from the important amenities.

Practical implications

The findings might be interesting for private and institutional investors to derive real estate investment decisions and implications for portfolio management strategies and ultimately to minimize cash-flow failure.

Originality/value

Although machine learning algorithms have been applied frequently on the real estate market for the analysis of prices, its application for examining time on market is completely novel. This is the first paper to apply a machine learning approach to survival analysis on the real estate market.

Details

Journal of Property Investment & Finance, vol. 42 no. 2
Type: Research Article
ISSN: 1463-578X

Keywords

Access Restricted. View access options
Article
Publication date: 9 August 2024

Anna Bastone, Daniele Leone, Maria Vincenza Ciasullo and Raj Matho

Today, collaborative consumption platforms support business activities. In particular, the sharing economy (SE) increases social and economic dynamism and reduces environmental…

176

Abstract

Purpose

Today, collaborative consumption platforms support business activities. In particular, the sharing economy (SE) increases social and economic dynamism and reduces environmental impact by conserving resources. Therefore, this paper investigates the sustainable value drivers of sharing economy practices.

Design/methodology/approach

We explore multiple case studies as a research approach to answer the research question. Multiple sources of evidence were used to triangulate the data. The SE practices influence several sectors; thus, we conducted a sector analysis investigating the healthcare, food and fashion industries. Analysing different sectors provides valuable theoretical and practical insights, facilitating decision-making and fostering innovation. Sectoral differences emphasize how different sustainable SE models are configured.

Findings

The findings highlight that SE allows for the development of sustainable business models attesting to: (1) value capture in the food industry, (2) value delivery in the healthcare industry and (3) value creation in the fashion industry. The study opens avenues for future research.

Originality/value

The originality of this study is in the new lens from which the phenomenon is observed.

Details

Management Decision, vol. 62 no. 12
Type: Research Article
ISSN: 0025-1747

Keywords

Access Restricted. View access options
Article
Publication date: 25 August 2021

Rozenn Perrigot, Anna Watson and Olufunmilola (Lola) Dada

This paper aims to explore how the power of salient stakeholders involved in the green waste management of franchise chains can impact the ability of the chains to change their…

2017

Abstract

Purpose

This paper aims to explore how the power of salient stakeholders involved in the green waste management of franchise chains can impact the ability of the chains to change their green practices.

Design/methodology/approach

This qualitative study is based on interview data from 19 franchisors and their head office staff operating in the fast-food sector in France where franchise chains have been ‘named and shamed’ as continuing to ignore waste management regulation.

Findings

The findings suggest that both the form and bases of power of different stakeholder groups have important implications for the implementation of green practices, even those required by law. The authors find that the franchisees’ central network position alters the ability of franchisors to directly engage in dialog, consult with, and educate key stakeholders, creating additional challenges for franchisors in the implementation process.

Research limitations/implications

The qualitative nature of the study limits the extent to which the findings can be generalized. Future studies could develop an instrument to assess franchisor perceptions of stakeholder power.

Practical implications

The findings suggest that franchisors should consider carefully how they communicate changes to green practices to their franchisees to ensure not only their compliance but also their motivation to engage with those stakeholders with whom they have regular interactions. The findings can also help governments to better understand how to involve other stakeholders to ensure effective environmental legislation.

Originality/value

The study is the first, to the authors’ knowledge, to consider the role of stakeholders in the implementation of green practices in franchise chains. By examining franchise chains, this paper provides new insights into the role of an additional stakeholder, the franchisee, and enriches the literature on green practices in the hospitality sector.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 10
Type: Research Article
ISSN: 0959-6119

Keywords

1 – 3 of 3
Per page
102050