Jinxiang Zeng, Shujin Cao, Yijin Chen, Pei Pan and Yafang Cai
This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the…
Abstract
Purpose
This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.
Design/methodology/approach
Eight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.
Findings
The empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.
Originality/value
The extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.
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Aamir Aijaz Syed, Ercan Özen and Muhammad Abdul Kamal
Purpose: The advent of the fintech revolution has brought a tremendous increase in the dissemination of digital financial services. Although digital financial services increase…
Abstract
Purpose: The advent of the fintech revolution has brought a tremendous increase in the dissemination of digital financial services. Although digital financial services increase financial inclusion through financial intermediation, it also increases the chances of systematic risk.
Need: In the quest to satisfy the curious minds, the authors have examined the influence of digital financial services on banking stability and efficiency.
Methodology: To achieve the above objectives, the authors have used the Auto-Regressive Distribution Lag (ARDL) estimation technique on the annual data set of India and the United States from 2004 to 2018. In addition, to estimate the long-run cointegration, the ARDL bound approach is also used.
Findings: The empirical analysis concludes that in the short run, the expansion of digital financial services in India in the form of internet-based transactions and mobile money transactions creates a negative and significant impact on banking efficiency and stability. Meaning, banking sector efficiency and stability fall by 0.09% and 0.05% with a 1% increase in digital financial services. However, in the long run, digital financial services enhance banking stability and efficiency in India. Besides, the study also reveals that in a developed country like the United States, both in the short run and long run, expansion of digital financial services helps in improving banking efficiency and stability. Furthermore, in context to control variables, the findings suggest that in the short run, industrial productivity has a negative influence on the Indian banking sector efficiency and stability, compared to the positive impact in the long run. This is unlike the United States, where both in the long-run and short-run, industrial productivity has a positive influence on the banking sector’s efficiency and stability.
Practical implication: The findings reveal several policy implications and suggest policy synergies between digital financial services, banking stability and efficiency.
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Shehnaz Tehseen, Kim Yoke Ong, Syed Monirul Hossain and Elizabeth Andrews
This chapter provides an in-depth examination of the role that sustainable tourism plays in fostering a more environmentally and economically sustainable global economy. It delves…
Abstract
This chapter provides an in-depth examination of the role that sustainable tourism plays in fostering a more environmentally and economically sustainable global economy. It delves into the advantages, disadvantages, and potential of sustainable tourism, emphasizing environmental conservation, societal inclusion, and economic progress. The shift towards sustainable tourism underscores the importance of minimizing negative impacts while maximizing positive outcomes for the environment, local communities, and cultural heritage. It underscores the necessity of balancing economic development, environmental preservation, and social well-being. Sustainable tourism encourages environmentally friendly practices, promotes renewable energy, and supports local businesses, thereby driving both environmental protection and economic growth. Challenges and opportunities are identified, necessitating innovative solutions for a sustainable tourism model. Effective policies and collaboration among stakeholders can address issues like excessive tourism impacts and ensure equitable distribution of benefits to local populations. Technology and community involvement play crucial roles in fostering sustainability and responsible travel. The chapter emphasizes energy efficiency, waste management, and transportation enhancements, while recognizing digital platforms’ role in promoting informed travel decisions. Future trends focus on climate adaptation, responsible tourism, and circular economies. Thus, a triple bottom-line approach integrating economic, social, and environmental considerations, alongside resource management, technology, community engagement, and cultural preservation, emerges as essential for advancing sustainable tourism practices.
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Shehnaz Tehseen, Syed Monirul Hossain, Kim Yoke Ong and Elizabeth Andrews
This chapter explores the present state of the worldwide tourism sector and its complex phenomenological interconnection with climate change. This analysis emphasizes the…
Abstract
This chapter explores the present state of the worldwide tourism sector and its complex phenomenological interconnection with climate change. This analysis emphasizes the significant environmental consequences resulting from the rise of tourism, which can be attributed to the exponential growth facilitated by enhanced connectivity and the concurrent increase in disposable incomes. It thoroughly analyses the primary factors that contribute to the environmental impact of the sector, which encompasses emissions from transportation, infrastructure development, waste generation, and resource usage. Furthermore, this analysis sheds light on the obstacles encountered in the process of shifting toward sustainability, including limited knowledge and understanding, deficiencies in policy implementation, and reluctance to embrace transformation within the sector. However, it also provides insights into numerous activities and solutions currently in progress to alleviate the environmental impact of the industry. The aforementioned approaches encompass the implementation of sustainable tourism practices, legislation revisions, and advancements in technology. This chapter concludes by highlighting the imperative need for a collaborative initiative including governmental bodies, industrial participants, and tourists to establish a harmonious equilibrium between the pursuit of economic expansion and the protection of the environment. The future trajectory of global tourism is contingent upon the adoption of sustainable practices, which are crucial for fostering a healthy coexistence between the tourism industry and the environment.
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Chaoru Lu and Chenhui Liu
This paper aims to present a cooperative adaptive cruise control, called stable smart driving model (SSDM), for connected and autonomous vehicles (CAVs) in mixed traffic streams…
Abstract
Purpose
This paper aims to present a cooperative adaptive cruise control, called stable smart driving model (SSDM), for connected and autonomous vehicles (CAVs) in mixed traffic streams with human-driven vehicles.
Design/methodology/approach
Considering the linear stability, SSDM is able to provide smooth deceleration and acceleration in the vehicle platoons with or without cut-in. Besides, the calibrated Virginia tech microscopic energy and emission model is applied in this study to investigate the impact of CAVs on the fuel consumption of the vehicle platoon and traffic flows. Under the cut-in condition, the SSDM outperforms ecological SDM and SDM in terms of stability considering different desired time headways. Moreover, single-lane vehicle dynamics are simulated for human-driven vehicles and CAVs.
Findings
The result shows that CAVs can reduce platoon-level fuel consumption. SSDM can save the platoon-level fuel consumption up to 15%, outperforming other existing control strategies. Considering the single-lane highway with merging, the higher market penetration of SSDM-equipped CAVs leads to less fuel consumption.
Originality/value
The proposed rule-based control method considered linear stability to generate smoother deceleration and acceleration curves. The research results can help to develop environmental-friendly control strategies and lay the foundation for the new methods.
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Pengcheng Wang, Dengfeng Zhang and Baochun Lu
Considering the external disturbances and dynamic uncertainties during the process of the trajectory tracking, this paper aims to address the problem of the welding robot…
Abstract
Purpose
Considering the external disturbances and dynamic uncertainties during the process of the trajectory tracking, this paper aims to address the problem of the welding robot trajectory tracking with guaranteed accuracy.
Design/methodology/approach
The controller consists sliding mode control, fuzzy control and low pass filter. The controller adopts low-pass filter to reduce the high frequency chattering control signal in sliding mode control. The fuzzy control model is used to simulate the external disturbance signal and the dynamic uncertainty signal, so that the controller can effectively restrain the chattering caused by the sliding mode control algorithm, realizing the track of the welding robot effectively and improving the robustness of the robot.
Findings
An innovative experiment device was adopted to realize the performance of the proposed controller. Considering the kinematic and dynamic uncertainty during the process of robot tracking, the tracking accuracy was realized within 0.3 mm.
Originality/value
This paper uses Lyapunov stability theory and Barbalat theorem to analyze the stability of the proposed controller.
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This study aims to explore the roles of Zhongyong and political efficacy on citizens’ intention to use digital government platforms for e-participation (i.e. e-participation…
Abstract
Purpose
This study aims to explore the roles of Zhongyong and political efficacy on citizens’ intention to use digital government platforms for e-participation (i.e. e-participation intention). Zhongyong is a dialectical way of thinking that influences Chinese behavioral intentions and approaches. Political efficacy is a predictor of traditional political participation. Both of them have not been adequately investigated in this digital era, particularly regarding e-participation in digital government platforms. Therefore, this study investigates their relationships.
Design/methodology/approach
A quantitative model is constructed to examine the relationship between Zhongyong and citizens’ e-participation intention (internal and external) political efficacy serves as a mediator. An online questionnaire gathered 345 responses from three representative provinces of China (i.e. Guangdong, Jiangxi and Shanxi). Partial least square structural equation modeling (PLS-SEM) was adopted and executed with Smart PLS 4.0 to analyze the data.
Findings
Zhongyong and (internal and external) political efficacy can positively influence citizens’ e-participation intention. Moreover, (internal and external) political efficacy mediates the relationship between Zhongyong and citizens’ e-participation intention.
Research limitations/implications
This research focuses on Chinese culture Zhongyong and surveyed Chinese citizens, thus is limited to the Chinese context. Second, this study used cross-sectional data. Third, this study only investigated two factors’ effects on e-participation, i.e. Zhongyong and political efficacy.
Practical implications
The findings provide multifaceted strategies for improving citizens’ adoption of digital government platforms for e-participation. Incentive policies to boost citizens’ (internal and external) political efficacy can be launched. To achieve broader citizen participation, a participative culture can be cultivated based on Zhongyong.
Originality/value
This study constructs a novel model that innovatively links Zhongyong thinking, political efficacy and e-participation intention. The results underscore the importance of Zhongyong culture and political efficacy in increasing citizens’ e-participation intention.
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The study is set to explore a viability for substituting part of cash holdings within European open-end diversified core equity (ODCE) real-estate funds with listed real-estate…
Abstract
Purpose
The study is set to explore a viability for substituting part of cash holdings within European open-end diversified core equity (ODCE) real-estate funds with listed real-estate exchange-traded fund (ETF) alternative. Academically, this research bridges a knowledge gap within private real-estate market research.
Design/methodology/approach
First, the study investigates the correlation between ODCE and ETFs to assess series interdependence. Next, the study generates a blended ODCE and ETF portfolio and examines its performance by quantifying a) the contribution to returns and b) the diversification benefits.
Findings
The findings suggest that a 1 percent spare cash allocation to an ETF increases ODCE fund returns by few bps although the diversification benefits are more nuanced.
Practical implications
Real estate and other investment vehicles are encouraged to review their cash-holding strategies. Real estate, infrastructure or private equity vehicles could designate a small proportion of available cash to asset class-specific ETFs. These cash substitutes are likely to increase returns and could strengthen diversification, although there are some caveats. For ESG-conscious investors, sustainable ETFs and associated passive conduits with strong responsible investment characteristics could provide cash replacement alternatives at the margin.
Originality/value
The study adds additional evidence on the contested issue of blending private and public real estate.
Zhai Cong and Weitiao Wu
In the era of connected and autonomous vehicles, a large amount of surrounding vehicular information can be acquired by the focal vehicle in real time using vehicle-to-vehicle…
Abstract
Purpose
In the era of connected and autonomous vehicles, a large amount of surrounding vehicular information can be acquired by the focal vehicle in real time using vehicle-to-vehicle communication technology, such as the core variable of electronic throttle opening angle. Meanwhile, the traffic jerk, such as the non-compliance of drivers and pedestrians, worsens the chaos of the surrounding traffic environment. To reflect the future traffic environment, the authors simultaneously incorporate the electronic throttle (ET) and traffic jerk into the traditional continuum model. The authors derive the stability criterion of the enhanced continuum model via the perturbation method.
Design/methodology/approach
To facilitate insight into the propagation and evolution mechanism of traffic jam near the stability condition, the authors use the nonlinear stability analysis method to derive the KdV-Burgers equation of proposed continuum model.
Findings
The new item of ET opening angle and traffic jerk have a positive impact on suppressing traffic congestion and improving road robustness.
Originality/value
The research on autonomous continuum models is rare. This model can better reflect the actual traffic, which can also provide a theoretical reference for the future traffic governance.
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Muhammad Arif Mahmood, Chioibasu Diana, Uzair Sajjad, Sabin Mihai, Ion Tiseanu and Andrei C. Popescu
Porosity is a commonly analyzed defect in the laser-based additive manufacturing processes owing to the enormous thermal gradient caused by repeated melting and solidification…
Abstract
Purpose
Porosity is a commonly analyzed defect in the laser-based additive manufacturing processes owing to the enormous thermal gradient caused by repeated melting and solidification. Currently, the porosity estimation is limited to powder bed fusion. The porosity estimation needs to be explored in the laser melting deposition (LMD) process, particularly analytical models that provide cost- and time-effective solutions compared to finite element analysis. For this purpose, this study aims to formulate two mathematical models for deposited layer dimensions and corresponding porosity in the LMD process.
Design/methodology/approach
In this study, analytical models have been proposed. Initially, deposited layer dimensions, including layer height, width and depth, were calculated based on the operating parameters. These outputs were introduced in the second model to estimate the part porosity. The models were validated with experimental data for Ti6Al4V depositions on Ti6Al4V substrate. A calibration curve (CC) was also developed for Ti6Al4V material and characterized using X-ray computed tomography. The models were also validated with the experimental results adopted from literature. The validated models were linked with the deep neural network (DNN) for its training and testing using a total of 6,703 computations with 1,500 iterations. Here, laser power, laser scanning speed and powder feeding rate were selected inputs, whereas porosity was set as an output.
Findings
The computations indicate that owing to the simultaneous inclusion of powder particulates, the powder elements use a substantial percentage of the laser beam energy for their melting, resulting in laser beam energy attenuation and reducing thermal value at the substrate. The primary operating parameters are directly correlated with the number of layers and total height in CC. Through X-ray computed tomography analyses, the number of layers showed a straightforward correlation with mean sphericity, while a converse relation was identified with the number, mean volume and mean diameter of pores. DNN and analytical models showed 2%–3% and 7%–9% mean absolute deviations, respectively, compared to the experimental results.
Originality/value
This research provides a unique solution for LMD porosity estimation by linking the developed analytical computational models with artificial neural networking. The presented framework predicts the porosity in the LMD-ed parts efficiently.