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The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.
Abstract
Purpose
The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.
Design/methodology/approach
This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society.
Findings
Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay.
Originality/value
The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.
Details
Keywords
Akanksha Jaiswal, Santoshi Sengupta, Madhusmita Panda, Lopamudra Hati, Verma Prikshat, Parth Patel and Syed Mohyuddin
The COVID-19 pandemic and technological advancements have enabled employees to telework. Referring to this emerging phenomenon, the authors aim to examine how employees' levels of…
Abstract
Purpose
The COVID-19 pandemic and technological advancements have enabled employees to telework. Referring to this emerging phenomenon, the authors aim to examine how employees' levels of trust in management mediated by psychological well-being impact their performance as they telework. Deploying the theoretical lens of person-environment misfit, the authors also explore the role of technostress in the trust-wellbeing-performance relationship.
Design/methodology/approach
The data was collected from 511 full-time service sector employees across Indian organizations through a structured survey questionnaire. The proposed moderation-mediation model for this study was tested using structural equation modeling and bootstrapping method.
Findings
Structural equation modeling results indicate that trust in management significantly impacts employee performance while teleworking. While psychological well-being was observed as a significant mediator, technostress played the moderator role in the trust-performance relationship. The moderated-mediation effect of psychological well-being in the trust-performance relationship was stronger when technostress was low and weaker when technostress was high.
Research limitations/implications
The authors extend the person-environment misfit theory in the context of telework, highlighting the role of technostress that may impact the trust-wellbeing- performance relationship in such work settings.
Practical implications
The study informs leaders and managers on balancing delicate aspects such as employee trust and well-being that significantly impact performance as they telework. The authors also highlight the critical role of managers in respecting employees' personal and professional boundaries to alleviate technostress.
Originality/value
The authors make a novel theoretical contribution to the emerging literature on teleworking by examining the trust-psychological wellbeing-performance link and the role of technostress in this relationship.
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