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1 – 10 of 52Sean MacIntyre, Michael McCord, Peadar T. Davis, Aggelos Zacharopoulos and John A. McCord
The purpose of this study is to examine whether PV uptake is associated with key housing market determinants and linked to socio-economic profiles. An abundance of extant…
Abstract
Purpose
The purpose of this study is to examine whether PV uptake is associated with key housing market determinants and linked to socio-economic profiles. An abundance of extant literature has examined the role of solar photovoltaic (PV) adoption and user costs, with an emerging corpus of literature investigating the role of the determinants of PV uptake, particularly in relation to the built environment and the spatial variation of PV dependency and dissimilarity. Despite this burgeoning literature, there remains limited insights from the UK perspective on housing market characteristics driving PV adoption and in relation spatial differences and heterogeneity that may exist.
Design/methodology/approach
Applying micro-based data at the Super Output Area-level geography, this study develops a series of ordinary least squares, spatial econometric models and a logistic regression analysis to examine built environment, housing tenure and deprivation attributes on PV adoption at the regional level in Northern Ireland, UK.
Findings
The findings emerging from the research reveal the presence of some spatial clustering and PV diffusion, in line with several existing studies. The findings demonstrate that an urban-rural dichotomy exists seemingly driven by social interaction and peer effects which has a profound impact on the likelihood of PV adoption. Further, the results exhibit tenure composition and “economic status” to be significant and important determinants of PV diffusion and uptake.
Originality/value
Housing market characteristics such as tenure composition across local market structures remain under-researched in relation to renewable energy uptake and adoption. This study examines the role of housing market attributes relative to socio-economic standing for adopting renewable energy.
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Jeeva Venkatakrishnan, Ravikumar Alagiriswamy and Satyanarayana Parayitam
This research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the…
Abstract
Purpose
This research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the relationship between e-service quality and customer satisfaction are also explored.
Design/methodology/approach
A conceptual model involving various dimensions of e-service quality, customer satisfaction, loyalty, price perception and web design is developed, and hypothesized relationships are tested using Hayes’s PROCESS macros. A survey instrument and data from 650 respondents who are regular e-buyers from the southern part of India are used.
Findings
The results indicate that e-service quality positively relates to customer satisfaction and loyalty. The findings also suggest that price perception and trust are vital in enhancing customer satisfaction. Further, the indirect effect of e-service quality on customer loyalty through customer satisfaction is supported. Finally, web design (first moderator) and trust (second moderator) significantly influence the relationship between e-service quality and customer satisfaction.
Research limitations/implications
This research underscores the importance of e-service quality, web design, and trust in influencing customer satisfaction. Based on the findings from this study, e-retailers are suggested to discover the methods of building and improving customer trust and create a web design that is appealing to the customer to enhance satisfaction and loyalty. Some of the limitations of this study include common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.
Originality/value
This paper used the e-service quality model and investigated the consequences of e-service quality during the post-pandemic new normal period in a developing country (India). The double moderation of web design and trust is a novel idea that previous researchers have not explored to the best of the authors' knowledge and makes a significant contribution to service marketing. In addition to providing resounding evidence of direct relationships, the three-way interaction investigated in this study makes this study unique and pivotal.
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Qian Chen, Changqin Yin and Yeming Gong
This study investigates how artificial intelligence (AI) chatbots persuade customers to accept their recommendations in the online shopping context.
Abstract
Purpose
This study investigates how artificial intelligence (AI) chatbots persuade customers to accept their recommendations in the online shopping context.
Design/methodology/approach
Drawing on the elaboration likelihood model, this study establishes a research model to reveal the antecedents and internal mechanisms of customers' adoption of AI chatbot recommendations. The authors tested the model with survey data from 530 AI chatbot users.
Findings
The results show that in the AI chatbot recommendation adoption process, central and peripheral cues significantly affected a customer's intention to adopt an AI chatbot's recommendation, and a customer's cognitive and emotional trust in the AI chatbot mediated the relationships. Moreover, a customer's mind perception of the AI chatbot, including perceived agency and perceived experience, moderated the central and peripheral paths, respectively.
Originality/value
This study has theoretical and practical implications for AI chatbot designers and provides management insights for practitioners to enhance a customer's intention to adopt an AI chatbot's recommendation.
Research highlights
The study investigates customers' adoption of AI chatbots' recommendation.
The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.
The central and peripheral cues are generalized according to cooperative principle theory.
Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.
Central and peripheral cues affect customers' adoption to recommendation through trust in AI.
Customers' mind perception positively moderates the central and peripheral paths.
The study investigates customers' adoption of AI chatbots' recommendation.
The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.
The central and peripheral cues are generalized according to cooperative principle theory.
Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.
Central and peripheral cues affect customers' adoption to recommendation through trust in AI.
Customers' mind perception positively moderates the central and peripheral paths.
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The purpose of the study is to examine the efficiency of linear, nonlinear and artificial neural networks (ANNs), in predicting property prices.
Abstract
Purpose
The purpose of the study is to examine the efficiency of linear, nonlinear and artificial neural networks (ANNs), in predicting property prices.
Design/methodology/approach
The present study uses a dataset of 1,468 real estate transactions from 2020 to 2022, obtained from the Department of Property Taxes of Republic of Kosovo. Beginning with a fundamental linear regression model, the study tackles the question of overlooked nonlinearity, employing a similar strategy like Peterson and Flanagan (2009) and McCluskey et al. (2012), whereby ANN's predictions are incorporated as an additional regressor within the ordinary least squares (OLS) model.
Findings
The research findings underscore the superior fit of semi-log and double-log models over the OLS model, while the ANN model shows moderate performance, contrary to the conventional conviction of ANN's superior predictive power. This is notably divergent from the prevailing belief about ANN's superior predictive power, shedding light on the potential overestimation of ANN's efficacy.
Practical implications
The study accentuates the importance of embracing diverse models in property price prediction, debunking the notion of the ubiquitous applicability of ANN models. The research outcomes carry substantial ramifications for both scholars and professionals engaged in property valuation.
Originality/value
Distinctively, this research pioneers the comparative analysis of diverse models, including ANN, in the setting of a developing country's capital, hence providing a fresh perspective to their effectiveness in property price prediction.
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Graeme Newell and Muhammad Jufri Marzuki
ESG (Environment, Social, Governance) has taken on increased importance in recent years for all stakeholders, with the S dimension now taking on a stronger focus in the real…
Abstract
Purpose
ESG (Environment, Social, Governance) has taken on increased importance in recent years for all stakeholders, with the S dimension now taking on a stronger focus in the real estate space. This paper proposes a new metric to be used in the S space to assess improvements in aspects such as gender equality and cultural diversity in real estate. It adds to the S metrics currently available to see the more effective delivery of the S dimension into real estate investment decision-making.
Design/methodology/approach
A new S metric in ESG is proposed and validated. Using this metric, examples regarding gender equality and cultural diversity are assessed among leading real estate players in Australia. This S metric is assessed over a number of time periods to demonstrate the improvements in gender equality and cultural diversity in these major real estate players.
Findings
This new S metric is seen to be highly effective and robust in capturing the changes in various aspects of the S dimension in ESG in the real estate space today; particularly concerning gender equality and cultural diversity. It is clearly able to demonstrate the significant changes in increased participation of women at the more senior leadership levels by leading players in the real estate space.
Practical implications
With ESG becoming a critical issue in the real estate sector, issues involved in the S space will take on increased significance going forward. This is critical, as the elements of the S dimension such as gender equality and cultural diversity are important aspects for an effectively functioning real estate industry. The S metric developed in this paper can be used for benchmarking purposes over time, as well as between real estate players, between sub-sections within a real estate organisation, and comparing against other industry sectors. It is also relevant in all organisations, and is not just limited to the real estate sector. Additional metrics in the S space are an important development to further empirically assess the effective delivery of the S dimension of ESG in the real estate sector and more broadly.
Originality/value
This paper specifically proposes this new S metric in ESG in the real estate industry. This is a key issue for the real estate industry going forward at all levels, as it will facilitate a more diverse real estate industry and more effective real estate investment decision-making. This S metric is applicable in all organisational sectors where the S dimension of ESG is important.
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Ibtissem Alguirat, Fatma Lehyani and Alaeddine Zouari
Lean management tools are becoming increasingly applied in different types of organizations around the world. These tools have shown their significant contribution to improving…
Abstract
Purpose
Lean management tools are becoming increasingly applied in different types of organizations around the world. These tools have shown their significant contribution to improving business performance. In this vein, the purpose of this paper is to examine the influence of lean management on both occupational safety and operational excellence in Tunisian companies.
Design/methodology/approach
A survey was conducted among Tunisian companies, and it resulted in the collection of 62 responses that were analyzed using the software SPSS. In addition, a conceptual model linking the practices of the three basic concepts was designed to highlight the hypotheses of the research. Subsequently, factor analysis and structural equation method analysis were conducted to assess the validation of the assumptions.
Findings
The results obtained have shown that lean management has a significant impact on occupational safety. Similarly, occupational safety has a significant impact on operational excellence. However, lean management does not have a significant impact on operational excellence.
Originality/value
This work highlighted the involvement of small and medium-sized enterprise’s managers from emerging economies in the studied concepts’ practices. Likewise, it testified to the impacts of lean management on occupational safety and operational excellence in the Tunisian context.
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Hassan Ashraf, Alishbah Ali, Riza Yosia Sunindijo, Ahsen Maqsoom, Shoeb Ahmed Memon and Muhammad Usman Hassan
This research aims to examine the influence of workers' identification with their supervisors on safety behaviour in construction projects.
Abstract
Purpose
This research aims to examine the influence of workers' identification with their supervisors on safety behaviour in construction projects.
Design/methodology/approach
Employing the job demands–resources theory, this research tested the relationships among relational identification as a personal resource, respectful engagement as a job resource, employee safety voice as a positive work behaviour and safety behaviour as the outcome. Partial least squares structural equation modelling (PLS-SEM) was used to analyse 120 quantitative data collected using a questionnaire survey.
Findings
Relational identification, which reflects workers' identification with their supervisors, is a significant predictor of safety behaviour. Furthermore, respectful engagement and employee safety voice sequentially mediate the relationship between relational identification and safety behaviour.
Research limitations/implications
The internalisation of safety norms, values and practices in construction projects is contingent on the identification of workers with their supervisors.
Originality/value
Safety behaviour of workers is a significant predictor of safety performance in construction projects. Research on numerous antecedents of safety behaviour points out that leadership is a significant predictor of construction workers' safe behaviour. Contributing to research on construction safety leadership, this research found that leader-subordinate relationship is key to make construction workers more psychologically ready to internalise the importance of safety behaviours at work.
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Gabriel Castelblanco, Jose Guevara and Alberto De Marco
Global crises have become increasingly recurrent events that jeopardize public-private partnerships (PPPs). In this context, the purpose of this paper is to expose the PPP-crisis…
Abstract
Purpose
Global crises have become increasingly recurrent events that jeopardize public-private partnerships (PPPs). In this context, the purpose of this paper is to expose the PPP-crisis research agenda by combining bibliometric and network analyses.
Design/methodology/approach
The PPP literature associated with global crises between the 2008 global financial crisis and 2022 was analyzed in three stages: (1) paper selection and screening for the inclusion/exclusion of articles relevant to this research, (2) semantic network development for examining thematic relationships among selected papers by considering the co-occurrence of keywords within the chosen studies and (3) calculation of network metrics for analysis.
Findings
The paper identified six research avenues for the PPP-crisis agenda: public interest, relational governance, risk management, user-pay PPPs, crisis management and financial performance. The PPP-crisis literature has spread significantly in the last five years driven by the case study approaches on a national or regional basis. Conversely, non-crisis periods generate room to strengthen user-pay PPPs and relational governance. The pandemic and post-pandemic times shared the priorities of the 2008 financial crisis but also strengthened the management of the risks and the structural drivers of the global crisis.
Originality/value
This study demonstrates that during global crisis periods, the public interest and financial performance gain relevance in a detriment of structural solutions to social legitimacy erosion of PPPs because of the urgency of giving tools to the public and private sectors to tackle the financial issues, which steer future issues for PPPs.
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B.V. Binoy, M.A. Naseer and P.P. Anil Kumar
Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive…
Abstract
Purpose
Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive assessment of the determinants affecting land value in the Indian city of Thiruvananthapuram in the state of Kerala.
Design/methodology/approach
The global influence of the identified 20 explanatory variables on land value is measured using the traditional hedonic price modeling approach. The localized spatial variations of the influencing parameters are examined using the non-parametric regression method, geographically weighted regression. This study used advertised land value prices collected from Web sources and screened through field surveys.
Findings
Global regression results indicate that access to transportation facilities, commercial establishments, crime sources, wetland classification and disaster history has the strongest influence on land value in the study area. Local regression results demonstrate that the factors influencing land value are not stationary in the study area. Most variables have a different influence in Kazhakootam and the residential areas than in the central business district region.
Originality/value
This study confirms findings from previous studies and provides additional evidence in the spatial dynamics of land value creation. It is to be noted that advanced modeling approaches used in the research have not received much attention in Indian property valuation studies. The outcomes of this study have important implications for the property value fixation of urban Kerala. The regional variation of land value within an urban agglomeration shows the need for a localized method for land value calculation.
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Harish Kumar Singla and Sitara Sunil Chammanam
The purpose of this study is to develop a financial performance measurement model for real estate business.
Abstract
Purpose
The purpose of this study is to develop a financial performance measurement model for real estate business.
Design/methodology/approach
The study uses balanced scorecard (BSC) proposed by Kaplan and Norton (1996) as a theoretical support. The study, being exploratory in nature, uses survey method to collect data on several dimensions of BSC as well as on other performance measures used by real estate businesses in India. The survey data collected is analyzed using exploratory factor analysis (EFA) to explore the model constructs. This is followed by building an integrated conceptual model for measuring the financial performance of a real estate business. The model is tested using partial least squares structural equation modeling (PLS-SEM).
Findings
The study finds that the financial performance of the real estate business revolves around customer satisfaction, employee satisfaction and external networks. The right alignment of these components lead to superior financial performance. It also provides a competitive advantage to the real estate business. These three components (customer satisfaction, employee satisfaction and external networks) have direct and indirect influences on the financial performance of real estate business.
Research limitations/implications
A small sample size (78 respondents), as well as the respondent’s geographical concentration in India, are the limitations of the study. Hence, generalization of findings may be difficult until the findings are validated across the globe.
Practical implications
The conceptual performance measurement model suggested in this research provides an effective tool to plan and strategize to achieve superior financial performance, particularly for stakeholders in the real estate business.
Originality/value
To the best of the authors’ knowledge and belief, this is the first attempt to develop a comprehensive financial performance measurement model for real estate business and test it using EFA and PLS-SEM.
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