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1 – 10 of over 4000

Abstract

Details

Journal of Facilities Management , vol. 20 no. 3
Type: Research Article
ISSN: 1472-5967

Open Access
Article
Publication date: 1 September 2022

Yu Chen, Di Jin and Changyi Zhao

Global climate change is a serious threat to the survival and development of mankind. Reducing carbon emissions and achieving carbon neutrality are the keys to reducing greenhouse…

Abstract

Purpose

Global climate change is a serious threat to the survival and development of mankind. Reducing carbon emissions and achieving carbon neutrality are the keys to reducing greenhouse gas emissions and promoting sustainable human development. For many countries, taking China as an example, the electric power sector is the main contributor to the country’s carbon emissions, as well as a key sector for reducing carbon emissions and achieving carbon neutrality. The low-carbon transition of the power sector is of great significance to the long-term low-carbon development of the economy. Therefore, on the one hand, it is necessary to improve the energy supply structure on the supply side and increase the proportion of new energy in the total power supply. On the other hand, it is necessary to improve energy utilization efficiency on the demand side and control the total primary energy consumption by improving energy efficiency, which is the most direct and effective way to reduce emissions. Improving the utilization efficiency of electric energy and realizing the low-carbon transition of the electric power industry requires synergies between the government and the market. The purpose of this study is to investigate the individual and synergistic effects of China’s low-carbon policy and the opening of urban high-speed railways (HSRs) on the urban electricity consumption efficiency, measured as electricity consumption per unit of gross domestic product (GDP).

Design/methodology/approach

This study uses a panel of 289 Chinese prefecture-level cities from the years 1999–2019 as the sample and uses the time-varying difference-in-difference method to test the relationship between HSR, low-carbon pilot cities and urban electricity consumption efficiency. In addition, the instrumental variable method is adopted to make a robustness check.

Findings

Empirical results show that the low-carbon pilot policy and the HSR operation in cities would reduce the energy consumption per unit of GDP, and synergies occur in both HSR operated and low-carbon pilot cities.

Research limitations/implications

This study has limitations that would provide possible starting points for future studies. The first limitation is the choice of the proxy variable of government and market factors. The second limitation is that the existing data is only about whether the high-speed rail is opened or not and whether it is a low-carbon pilot city, and there is no more informative data to combine the two aspects.

Practical implications

The findings of this study can inform policymakers and regulators about the effects of low-carbon pilot city policies. In addition, the government should consider market-level factors in addition to policy factors. Only by combining various influencing factors can the efficient use of energy be more effectively achieved so as to achieve the goal of carbon neutrality.

Social implications

From the social perspective, the findings indicate that improving energy utilization is dependent on the joint efforts of the government and market.

Originality/value

The study provides quantitative evidence to assess the synergic effect between government and the market in the low-carbon transition of the electric power industry. Particularly, to the best of the authors’ knowledge, it is the first to comprehend the role of the city low-carbon pilot policy and the construction of HSR in improving electricity efficiency.

Details

International Journal of Climate Change Strategies and Management, vol. 15 no. 2
Type: Research Article
ISSN: 1756-8692

Keywords

Content available
Article
Publication date: 4 January 2022

Sarah Dodds, Rebekah Russell–Bennett, Tom Chen, Anna-Sophie Oertzen, Luis Salvador-Carulla and Yu-Chen Hung

The healthcare sector is experiencing a major paradigm shift toward a people-centered approach. The key issue with transitioning to a people-centered approach is a lack of…

1461

Abstract

Purpose

The healthcare sector is experiencing a major paradigm shift toward a people-centered approach. The key issue with transitioning to a people-centered approach is a lack of understanding of the ever-increasing role of technology in blended human-technology healthcare interactions and the impacts on healthcare actors' well-being. The purpose of the paper is to identify the key mechanisms and influencing factors through which blended service realities affect engaged actors' well-being in a healthcare context.

Design/methodology/approach

This conceptual paper takes a human-centric perspective and a value co-creation lens and uses theory synthesis and adaptation to investigate blended human-technology service realities in healthcare services.

Findings

The authors conceptualize three blended human-technology service realities – human-dominant, balanced and technology-dominant – and identify two key mechanisms – shared control and emotional-social and cognitive complexity – and three influencing factors – meaningful human-technology experiences, agency and DART (dialogue, access, risk, transparency) – that affect the well-being outcome of engaged actors in these blended human-technology service realities.

Practical implications

Managerially, the framework provides a useful tool for the design and management of blended human-technology realities. The paper explains how healthcare services should pay attention to management and interventions of different services realities and their impact on engaged actors. Blended human-technology reality examples – telehealth, virtual reality (VR) and service robots in healthcare – are used to support and contextualize the study’s conceptual work. A future research agenda is provided.

Originality/value

This study contributes to service literature by developing a new conceptual framework that underpins the mechanisms and factors that influence the relationships between blended human-technology service realities and engaged actors' well-being.

Details

Journal of Service Theory and Practice, vol. 32 no. 1
Type: Research Article
ISSN: 2055-6225

Keywords

Content available
Article
Publication date: 31 October 2023

Wenjie Li, Idrees Waris and Muhammad Yaseen Bhutto

The current study examines the impact of big data analytics capabilities (BDAC) on supply chain performances of the manufacturing firms. Based on the underpinning of…

Abstract

Purpose

The current study examines the impact of big data analytics capabilities (BDAC) on supply chain performances of the manufacturing firms. Based on the underpinning of resource-based view (RBV) theory, the current study will highlight the significance of BDAC on green dynamic capabilities (GDC), supply chain agility (SCA) and green competitive advantage (GCA). Furthermore, the study examines the moderating effect of supply chain innovativeness (SCI) on the relationship between GCA and firm performance (FP).

Design/methodology/approach

Online survey method was employed for the data collection from the 331 managers employed in Pakistan Stock Exchange (PSX)-listed manufacturing firms. The hypothesized model was tested using partial least squares structural equation modeling (PLS-SEM) technique.

Findings

The study results indicate that BDAC has a positive influence on both GDC and SCA, leading to enhanced GCA. Furthermore, the results demonstrate that GCA significantly and positively impacts FP, and the relationship between them is positively moderated by SCI.

Originality/value

This study developed a novel theoretical perspective based on RBV theory and provided empirical evidence that manufacturing firms' performances are significantly influenced by BDAC, GDC and SCA. The study results provide valuable practical implications top management regarding the effectiveness of BDAC and SCA in the supply chain. The findings further highlight the significance of SCI strengthening relationship between GCA and FP.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Open Access
Article
Publication date: 17 October 2023

Abdelhadi Ifleh and Mounime El Kabbouri

The prediction of stock market (SM) indices is a fascinating task. An in-depth analysis in this field can provide valuable information to investors, traders and policy makers in…

Abstract

Purpose

The prediction of stock market (SM) indices is a fascinating task. An in-depth analysis in this field can provide valuable information to investors, traders and policy makers in attractive SMs. This article aims to apply a correlation feature selection model to identify important technical indicators (TIs), which are combined with multiple deep learning (DL) algorithms for forecasting SM indices.

Design/methodology/approach

The methodology involves using a correlation feature selection model to select the most relevant features. These features are then used to predict the fluctuations of six markets using various DL algorithms, and the results are compared with predictions made using all features by using a range of performance measures.

Findings

The experimental results show that the combination of TIs selected through correlation and Artificial Neural Network (ANN) provides good results in the MADEX market. The combination of selected indicators and Convolutional Neural Network (CNN) in the NASDAQ 100 market outperforms all other combinations of variables and models. In other markets, the combination of all variables with ANN provides the best results.

Originality/value

This article makes several significant contributions, including the use of a correlation feature selection model to select pertinent variables, comparison between multiple DL algorithms (ANN, CNN and Long-Short-Term Memory (LSTM)), combining selected variables with algorithms to improve predictions, evaluation of the suggested model on six datasets (MASI, MADEX, FTSE 100, SP500, NASDAQ 100 and EGX 30) and application of various performance measures (Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error(RMSE), Mean Squared Logarithmic Error (MSLE) and Root Mean Squared Logarithmic Error (RMSLE)).

Details

Arab Gulf Journal of Scientific Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1985-9899

Keywords

Content available
Book part
Publication date: 8 August 2022

Heather Steele and Clive Roberts

Digital technologies provide an opportunity for the rail sector to achieve social, economic and environmental sustainability, if implemented correctly. Unlocking the full

Abstract

Digital technologies provide an opportunity for the rail sector to achieve social, economic and environmental sustainability, if implemented correctly. Unlocking the full potential of technology, however, will require significant changes beyond the technological. Physical assets will need to link with digital assets, making best use of data, simulation and modelling. Transformational leadership informed by systems engineering will be necessary to deliver the change process required to innovate across the whole railway life cycle. Each of these digital railway elements – technology, data, simulation, transformational leadership and systems engineering – presents challenges to be overcome. The authors believe that by instilling core values alongside technical expertise, by being open, resilient, responsive, customer-centric and valuing people, the digital railway has the power to transform the sector. It will enable improved railway processes; safer, faster and more reliable trains; better customer experience; cost-effectiveness; and reduced carbon emissions and more. The digital railway will not just realise the current vision but form the foundation for a sustainable railway to meet changing mobility needs well beyond 2050.

Details

Sustainable Railway Engineering and Operations
Type: Book
ISBN: 978-1-83909-589-4

Keywords

Open Access
Article
Publication date: 10 May 2022

Syed Ahamed Suban

Tourism on wellness is a rapidly expanding segment of the travel industry; nevertheless, it is still in its infancy, and more study research is needed to develop a scientific…

3526

Abstract

Purpose

Tourism on wellness is a rapidly expanding segment of the travel industry; nevertheless, it is still in its infancy, and more study research is needed to develop a scientific foundation for health and wellness tourism. The study uses bibliometric indicators like as citations to determine the field structure on wellness tourism from 1998 to 2021, and the VOSviewer software to map the significant trends in wellness tourism (WT) area, to examine the present situation.

Design/methodology/approach

To reach this objective, the theme of “wellness tourism” was searched in the “Scopus” database, and bibliometrics data on the publications were obtained. In total, 414 papers were found during the initial search, which was then narrowed according to the criteria. Using this strategy, the author discovered 386 records, and after removing 4 duplicates and 1 irrelevant document, the refining produced 381 related documents. The most-cited papers, significant authors, co-citation of references, sources and authors were all investigated for the publications related to WT.

Findings

According to this report, research into wellness tourism has increased in recent years. The authors discovered two papers with over 238 “Scopus” citations and a total of 10 studies with 1414 citations. According to Scopus, the document Napier et al. receives 36.5% of citations each year. There were a total of 804 authors who published about WT between 1998 and 2021, with Smith, M, Voigt, c, and Puczkó, L being the most-cited reference authors in the subject. Han h. has the highest index of 56 of all the authors.

Research limitations/implications

The “Scopus” database was used for bibliometric analysis, although the VOSviewer was used exclusively. This considered as a first study to utilize a bibliometric method to address this research gap, identifying the tools, journals, and, most crucially, conceptual subdomains like spa, yoga, therapy, spirituality and trekking that will be significant in future research.

Originality/value

Using a bibliometric analytic approach, this article looked at papers on wellness tourism published between 1998 and 2021. Thus, its goal is to learn more about wellness tourism and to enlighten wellness tourism scholars on the field's structure.

Details

International Hospitality Review, vol. 37 no. 2
Type: Research Article
ISSN: 2516-8142

Keywords

Open Access
Article
Publication date: 27 July 2022

Yuchuan Du, Han Wang, Qian Gao, Ning Pan, Cong Zhao and Chenglong Liu

Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all…

1555

Abstract

Purpose

Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all modes. A robust transportation resilience is a goal in pursuing transportation sustainability. Under this specified context, while before the perturbations, robustness refers to the degree of the system’s capability of functioning according to its design specifications on integrated modes and routes, redundancy is the degree of duplication of traffic routes and alternative modes to maintain persistency of service in case of perturbations. While after the perturbations, resourcefulness refers to the capacity to identify operational problems in the system, prioritize interventions and mobilize necessary material/ human resources to recover all the routes and modes, rapidity is the speed of complete recovery of all modes and traffic routes in the urban area. These “4R” are the most critical components of urban integrated resilience.

Design/methodology/approach

The trends of transportation resilience's connotation, metrics and strategies are summarized from the literature. A framework is introduced on both qualitative characteristics and quantitative metrics of transportation resilience. Using both model-based and mode-free methodologies that measure resilience in attributes, topology and system performance provides a benchmark for evaluating the mechanism of resilience changes during the perturbation. Correspondingly, different pre-perturbation and post-perturbation strategies for enhancing resilience under multi-mode scenarios are reviewed and summarized.

Findings

Cyber-physic transportation system (CPS) is a more targeted solution to resilience issues in transportation. A well-designed CPS can be applied to improve transport resilience facing different perturbations. The CPS ensures the independence and integrity of every child element within each functional zone while reacting rapidly.

Originality/value

This paper provides a more comprehensive understanding of transportation resilience in terms of integrated urban transport. The fundamental characteristics and strategies for resilience are summarized and elaborated. As little research has shed light on the resilience concepts in integrated urban transport, the findings from this paper point out the development trend of a resilient transportation system for digital and data-driven management.

Details

Smart and Resilient Transportation, vol. 4 no. 2
Type: Research Article
ISSN: 2632-0487

Keywords

Open Access
Article
Publication date: 12 March 2024

Vishal Kumar Laheri, Weng Marc Lim, Purushottam Kumar Arya and Sanjeev Kumar

The purpose of this paper is to examine the purchase behavior of consumers towards green products by adapting and extending the theory of planned behavior with the inclusion of…

Abstract

Purpose

The purpose of this paper is to examine the purchase behavior of consumers towards green products by adapting and extending the theory of planned behavior with the inclusion of three pertinent environmental factors posited to reflect environmental consciousness in the form of environmental concern, environmental knowledge and environmental values.

Design/methodology/approach

The data was collected from 410 consumers at shopping malls with retail stores selling green and non-green products in a developing country using cluster sampling and analyzed using covariance-based structural equation modeling.

Findings

The findings of this study indicate that environmental factors reflecting environmental consciousness positively influence consumers’ attitude towards purchasing green products, wherein consumers’ environmental values have a stronger influence than their environmental concern and environmental knowledge. The findings also reveal that subjective norm, attitude and perceived behavioral control toward purchasing green products positively shape green purchase intention. The same positive effect is also witnessed between green purchase intention and behavior. However, perceived behavioral control towards purchasing green products had no significant influence on green purchase behavior.

Practical implications

This study suggests that green marketers should promote environmental consciousness among consumers to influence and shape their planned behavior towards green purchases. This could be done by prioritizing efforts and investments in inculcating environmental values, followed by enhancing environmental knowledge and finally inducing environmental concern among consumers. Green marketers can also leverage subjective norm and perceptions of behavioral control toward purchasing green products to reinforce green purchase intention, which, in turn, strengthens green purchase behavior. This green marketing strategy should also be useful to address the intention–behavior gap as seen through the null effect of perceived behavioral control on purchase behavior toward green products when this strategy is present.

Originality/value

This study contributes to theoretical generalizability by reaffirming the continued relevance of the theory of planned behavior in settings concerning the environment (e.g. green purchases), and theoretical extension by augmenting environmental concern, environmental knowledge and environmental values with the theory of planned behavior, resulting in an environmentally conscious theory of planned behavior. The latter is significant and noteworthy, as this study broadens the conceptualization and operationalization of environmental consciousness from a unidimensional to a multidimensional construct.

Open Access
Article
Publication date: 27 November 2023

Gianluca Ginesti, Rosalinda Santonastaso and Riccardo Macchioni

This paper aims to investigate the impact of family involvement in ownership and governance on the quality of internal auditing.

Abstract

Purpose

This paper aims to investigate the impact of family involvement in ownership and governance on the quality of internal auditing.

Design/methodology/approach

Leveraging a hand-collected data set of listed family firms from 2014 to 2020, this study uses regression analyses to investigate the impact of family ownership, family involvement on the board, family CEO and the generational stage of the family business on the quality of internal auditing.

Findings

The results provide evidence that family ownership is positively associated with the quality of internal auditing, while later generational stages of family businesses have the opposite effect. Additional analyses reveal that the presence of a sustainability board sub-committee moderates the relationship between generational stages of family businesses and the quality of internal auditing function.

Research limitations/implications

This paper does not consider country-institutional factors and other potentially family-related antecedents or governance factors that may affect the quality of internal auditing.

Practical implications

The results are informative for investors and non-family stakeholders interested in understanding under which conditions family-related factors influence the quality of internal auditing functions.

Originality/value

This study offers fresh evidence regarding the relationship between family-related factors and the quality of internal auditing and board sub-committees that moderate such a relationship in family businesses.

Details

Corporate Governance: The International Journal of Business in Society, vol. 24 no. 8
Type: Research Article
ISSN: 1472-0701

Keywords

1 – 10 of over 4000