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Article
Publication date: 21 November 2024

Hong Kok Wang, Chin Tiong Cheng, Gabriel Hoh Teck Ling, Yan Yan Felicia Yong, Kian Aun Law and Xuerui Shi

This paper aims to explain the factors shaping collective action within low-cost housing communities, focusing on parcel holders, through the utilisation of an expanded…

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Abstract

Purpose

This paper aims to explain the factors shaping collective action within low-cost housing communities, focusing on parcel holders, through the utilisation of an expanded institutional analysis development (IAD) framework, which extends upon Ostrom’s foundational framework. Additionally, the paper explores four different property management approaches accessible to these communities.

Design/methodology/approach

The research employed a mixed-method approach comprising four sequential steps. Firstly, a quantitative inquiry entailed a questionnaire survey administered to 633 parcel holders across four low-cost housing schemes, aimed at discerning factors influencing collective action. Subsequently, a qualitative investigation involved face-to-face interviews with key stakeholders to elucidate the contributing factors of collective action, with a specific focus on Nursa Kurnia (a successful low-cost housing scheme comprising 200 units), accessible via Kuala Lumpur Middle Ring Road II. Thirdly, the study explored the social practice of “commoning the governance”. Lastly, the paper advocated for housing policy interventions, specifically proposing government subsidies for lower-income parcel holders.

Findings

Exemplified by the success of Nursa Kurnia, the research findings emphasised the importance of shifting local management’s mindset from a zero-sum approach to a win-win perspective. It highlighted the pivotal role of four factors (resource system, governance system, context and historical development) in shaping collective action and fostering improved property management practices. Moreover, the study highlighted the potential of “commoning the governance” as a new approach capable of addressing collective action challenges in low-cost housing management, presenting a promising avenue for future endeavours.

Research limitations/implications

As more studies utilising the expanded IAD framework become available in the future, there is potential for further refinement and enhancement of the framework.

Practical implications

This study offers valuable insights for policymakers, property developers, local management and local communities, shedding light on challenges associated with the self-organisation of shared resources. Moreover, it highlights the potential of “commoning the governance” as a new property management approach to mitigate the impact of collective action problems.

Social implications

The well-being of society’s most vulnerable segment is indicative of the overall societal health. This underscores the significance of addressing the interests and needs of these lower-income groups within the broader social context.

Originality/value

Exploring collective action within the context of self-organising low-cost housing, the study delves into an area marked by persistent challenges like free-riding tendencies and vandalism. Despite significant attention given to collective action issues in the past, the novel approach of “commoning the governance” remains unexamined in the realm of low-cost housing maintenance and management.

Details

Property Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-7472

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Article
Publication date: 10 July 2024

Yuen-kiu Cheung, Jessica C.M. Li and Shimin Zhu

The aim of this study is to examine predictors and mediators of work-related stress among Hong Kong police officers.

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Abstract

Purpose

The aim of this study is to examine predictors and mediators of work-related stress among Hong Kong police officers.

Design/methodology/approach

Quantitative secondary survey data were used, based on surveys collected from 335 police officers in Hong Kong between May and June in 2020.

Findings

It was found that operational stressors were directly and positively related to work-related stress among Hong Kong police officers. The more the operational stressors, the more the work-related stress. It was also found that internal procedural justice had an indirect effect on work-related stress via work engagement among Hong Kong police officers. More internal procedural justice fostered an increased work engagement, causing less work-related stress.

Research limitations/implications

Given that the nature of secondary cross-sectional survey data, causal relationships are difficult to make.

Originality/value

Results from this study contribute to the expansion of the job demands-resources model (the JD-R model). This study used structural equation modelling (SEM) for quantitative secondary survey data analysis, providing a more accurate understanding of this topic. This study provides insights into how to formulate relevant measures to reduce work-related stress in policing occupation.

Details

Policing: An International Journal, vol. 47 no. 6
Type: Research Article
ISSN: 1363-951X

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Article
Publication date: 5 November 2024

Feiwu Ren, Yi Huang, Zihan Xia, Xiangyun Xu, Xin Li, Jiangtao Chi, Jiaying Li, Yanwei Wang and Jinbo Song

To address challenges such as inadequate funding and inefficiency in public infrastructure construction, PPPs have gained significant global traction. This study aims to…

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Abstract

Purpose

To address challenges such as inadequate funding and inefficiency in public infrastructure construction, PPPs have gained significant global traction. This study aims to comprehensively assess the impacts and mechanisms of PPPs on the SDI and to provide rational policy recommendations based on the findings.

Design/methodology/approach

We collated a dataset from 30 Chinese provinces covering the years 2005–2020 as our research sample. The study’s hypotheses are tested using a double fixed-effects model, a chained mediated-effects model and a multidimensional heterogeneity analysis.

Findings

Our findings indicate that PPPs have a facilitating effect on SDI in general. This boost usually lags behind policy implementation and is cyclical in the time dimension. In the spatial dimension, PPPs contribute significantly to SDI in the eastern and western regions, but not in the central region. From the perspective of the dynamics of economic, social and industrial development, PPPs in economically backward areas are difficult to promote SDI, promote it the most in economically medium regions and are slightly less in economically developed regions than in medium regions. This promotion effect has an inverted U-shaped relationship with social development and diminishes with industrial structure upgrading. Finally, due to the negative relationship between PPPs and social development and between social development and SDI, PPPs are shown to contribute to SDI and are identified as critical paths. However, PPPs suppress SDI by inhibiting economic and industrial development.

Originality/value

This study makes three novel contributions to the existing body of knowledge: (1) we innovatively introduce the United Nations Sustainable Development Goals (SDGs) into the field of infrastructure research, offering fresh perspectives on SDI enhancement; (2) revealing the mechanisms by which PPPs affect SDI through the three dimensions of economic, social and industrial development enabling policymakers to better understand and optimize resource allocation and improve planning, design and management of PPP projects for sustainable infrastructure and (3) we assess the spatiotemporal variances of PPPs’ effects on SDI and the diversity across regions at different social, economic and industrial structures developmental stages, offering critical insights to global decision-makers to devise tailored policy measures.

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: 28 August 2024

Yunlong Duan, Kun Wang, Hong Chang, Wenjing Liu and Changwen Xie

This paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of…

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Abstract

Purpose

This paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of high-tech firms, and the moderating effect of organizational knowledge utilization on the relationship between top management team’s social capital and innovation quality in high-tech firms.

Design/methodology/approach

This study categorizes top management team’s social capital into political, business and academic dimensions, investigating their impact on innovation quality in high-tech firms. Furthermore, a research model is developed with organizational knowledge utilization as the moderating variable. Data from Chinese high-tech firms between 2010 and 2019 are collected as samples for analysis.

Findings

The innovation quality of high-tech firms shows an inverted U-shaped trend as the top management team’s political capital and business capital increase. The top management team’s academic capital has a significantly positive correlation with the innovation quality of high-tech firms. Moreover, organizational knowledge utilization plays a significant moderating role in the relationship between the top management team’s social capital and innovation quality in high-tech firms.

Originality/value

This study explores the relationship among different dimensions of top management team’s social capital, innovation quality and organizational knowledge utilization. It holds significant theoretical value in enriching and refining the interactions between top management team’s social capital, knowledge management theory and innovation management theory. In addition, it offers important practical implications for firms to rationally approach top management team’s social capital, emphasize top management team configuration management and establish a comprehensive and efficient organizational knowledge utilization mechanism.

Details

Journal of Knowledge Management, vol. 28 no. 10
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 15 November 2024

Ooi Kok Loang

This study examines the relationships between herding behaviour, market overreaction and financial stability in developed and Brazil, Russia, India and China (BRICS) markets from…

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Abstract

Purpose

This study examines the relationships between herding behaviour, market overreaction and financial stability in developed and Brazil, Russia, India and China (BRICS) markets from 1 January 2017 to 31 December 2023. It identifies the significant differences in these phenomena across different market types and their implications for financial stability.

Design/methodology/approach

This study employs panel data regression, quantile regression, Granger causality tests and the Baron and Kenny mediation model to analyse the data. These methods are used to explore the extent to which herding behaviour exacerbates market overreaction and affects financial stability.

Findings

The results reveal that herding behaviour exacerbates short-term market overreaction, leading to increased financial instability, particularly in BRICS markets. In contrast, herding behaviour does not significantly impact intermediate-term overreactions in developed markets. The study also finds that market overreaction significantly mediates the relationship between herding behaviour and financial stability.

Practical implications

These findings have practical implications for policymakers. Understanding how herding behaviour and market overreaction impact financial stability can help formulate strategies to enhance market stability and mitigate systemic risks, particularly in more volatile BRICS markets.

Social implications

Enhanced financial stability has broad social implications, including improved investor confidence and economic growth. Policymakers can use these insights to create more stable financial environments, which can lead to more robust economic development and reduced vulnerability to financial crises.

Originality/value

This study provides new insights into the differential impact of herding behaviour and market overreaction on financial stability in developed and BRICS markets. By confirming the mediating role of market overreaction, this study enhances our understanding of financial market anomalies and contributes to the literature on financial stability.

Details

China Finance Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1398

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Article
Publication date: 2 January 2024

Siti Norida Wahab, Albert Tan and Olivier Roche

In recent years, technology diffusion, globalization and the Internet revolution have accelerated the growth of online transactions and altered corporate operations systems. The…

307

Abstract

Purpose

In recent years, technology diffusion, globalization and the Internet revolution have accelerated the growth of online transactions and altered corporate operations systems. The emergence of computer technology and the Internet have changed the way businesses work. The purpose of this study is to find and identify any common patterns in the logistics and supply chain industries for job requirements using job posting content in Malaysia.

Design/methodology/approach

This study provides an exploratory assessment of the employability skill set required using online job posting advertisements. Online job posting advertising, also known as e-recruiting, is one field that has been significantly influenced by information technology. In addition, the current Covid-19 outbreak has created a new need for a long-term contactless talent acquisition process in the organization's operating systems.

Findings

Based on this study's findings, the top ten skills required by employers for logistics and supply chain positions are (1) supply chain analytics, (2) technological aptitude, (3) teamwork skills, (4) customer focus, (5) leadership skills, (6) interpersonal skills, (7) people skills, (8) creativity and resilience, (9) demand and supply forecasting ability, and (10) project management skills. Overall, the findings provide a road map for practitioners and academics interested in developing supply chain managers' necessary skills and competencies to manage current and future supply networks. It also allows companies to adjust their supply chain management hiring, training and retention methods.

Originality/value

Although the study was done in Malaysia, the supply chain skills and competencies stated in this study, as well as their categorization, can be applied in other developing countries.

Details

Higher Education, Skills and Work-Based Learning, vol. 14 no. 5
Type: Research Article
ISSN: 2042-3896

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Article
Publication date: 24 July 2024

Jiaxin Huang, Wenbo Li, Xiu Cheng and Ke Cui

This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between…

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Abstract

Purpose

This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).

Design/methodology/approach

A meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.

Findings

The results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.

Originality/value

The same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.

Details

Management of Environmental Quality: An International Journal, vol. 35 no. 8
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 3 March 2025

Kok Loang Ooi

This study aims to examine adaptive herding behaviour in Shariah-compliant stocks across Malaysia, Indonesia and Saudi Arabia. The objective is to investigate how market…

0

Abstract

Purpose

This study aims to examine adaptive herding behaviour in Shariah-compliant stocks across Malaysia, Indonesia and Saudi Arabia. The objective is to investigate how market sentiment, news sentiment and investor happiness influence herding behaviour in these markets from 1 January 2015 to 31 December 2023, using a total sample size of 1,106 stocks.

Design/methodology/approach

This study utilises data from the S&P IQ Database, Thomson Reuters MarketPsych Indices, Bloomberg Sentiment Analysis and Hedonometer. To analyse the data, the Cross-Sectional Absolute Deviation model was applied along with static regression models, rolling window regression and quantile-on-quantile regression.

Findings

The findings reveal significant herding behaviour in all three markets, with varying degrees of volatility and sensitivity to sentiment. Investor happiness and market sentiment were found to positively influence herding behaviour, particularly during periods of low market returns or high stress, whereas negative news sentiment disrupted herding behaviour.

Practical implications

This study highlights the adaptive nature of herding behaviour in Shariah-compliant stocks, emphasising the role of sentiment in shaping investor decisions. These findings provide valuable insights for regulators and policymakers in designing strategies to mitigate irrational market movements and encourage more stable investment environments.

Originality/value

This study contributes to the limited literature on adaptive herding in Islamic financial markets. This underscores the importance of sentiment measures in understanding investor behaviour and offers practical insights into the behavioural dynamics in Shariah-compliant markets. This study also provides a foundation for future research on sentiment-driven investment strategies and regulatory policies in Islamic finance.

Details

Journal of Islamic Accounting and Business Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0817

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Article
Publication date: 19 November 2024

Yuanxin Zhang, Liujun Xu, Xiaolong Xue, Zeyu Wang and Miroslaw Skibniewski

With the uptake of prefabricated construction (PC) facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in…

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Abstract

Purpose

With the uptake of prefabricated construction (PC) facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation. However, the construction community has paid little attention to PC innovation, especially networked innovation. This study aims to gain deep insights into what impacts the formation and dynamics of a prefabricated construction innovation network (PCIN). With the uptake of PC facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation.

Design/methodology/approach

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. It first conceptualizes the PCIN based on the quadruple helix model and formulates a corresponding system dynamics model based on causality analysis. After validating the PCIN model using empirical data, simulations are carried out using Vensim PLE software. Finally, this study identifies key factors that promote the formation of PCIN in China through sensitivity analysis.

Findings

The results show that PC predicts a continuous increase in practice as of 2030. The tested drivers all positively influence the formation of the PCIN, with market demand and risk sharing having the greatest influence, followed by competitive pressure, profit government support, scientific and technological advancement and collaborative innovation strategy.

Originality/value

The study makes three major contributions. First, it provides a novel angle for a deeper understanding of the PC innovation. Second, it proposes a new approach for probing the formation and dynamics of the PCIN. Finally, it offers a theoretical reference for promoting the formation of innovation networks and the development of PC.

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: 15 October 2024

Alesia Gerassimenko, Lieven De Moor and Laurens Defau

Currently, residential forecasting literature is limited with few to no forecasting papers that consider residential prices and energy consumption for the selling and rental…

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Abstract

Purpose

Currently, residential forecasting literature is limited with few to no forecasting papers that consider residential prices and energy consumption for the selling and rental market within a single study. The purpose of this paper is to study the prices and energy usage for both markets by combining an explanatory model with the predictions of a predictive model, which will lead to a better understanding of the forecasting results.

Design/methodology/approach

This study presents an econometric comparison between 508,612 selling properties and 174,007 rental properties transacted in Flanders between January 2019 and December 2023. The authors study their prices and energy usage by combining the causal results of a hedonic price model (HPM) with the predictions of an autoregressive integrated moving average model (ARIMA).

Findings

The authors find that both markets are extremely sensitive to changes in related factors, whereby selling prices are primarily influenced by macroeconomic factors, but rental prices and especially energy usage are also sensitive to market standards. Policies that target energy efficiency can therefore steer its future trend. In addition, in line with previous literature, the HPM shows an increasingly strong relationship between residential prices and energy efficiency over the years, indicating that these steering energy policies also indirectly monitor residential prices.

Originality/value

This study underscores the importance of integrating the results of an explanatory model with a predictive model. It demonstrates that combining them provides a more comprehensive understanding which is helpful for policymakers, real estate professionals and investors during their decision-making process.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

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