Qiang Meng, Tao Zhang, Jingfeng He, Jingyan Song and Xuedong Chen
The precise control and dynamic analysis of the electrical Stewart platform have not been so well treated in the literature. This paper aims to design a novel model‐based…
Abstract
Purpose
The precise control and dynamic analysis of the electrical Stewart platform have not been so well treated in the literature. This paper aims to design a novel model‐based controller to improve the tracing performance of the electrical Stewart platform. Moreover, the simulations under uncertain environments are used to verify the robustness of the controller.
Design/methodology/approach
In the electrical Stewart platform, there exist two special movements of the motor systems: motor systems' movement with the actuators and meanwhile the rotors and snails' rotation around their axis. The Kane equation is used to compute the driven torque of the movements of motor systems, actuators and movable platform. The improved dynamic models of the electrical Stewart platform which consider the motor systems and actuators' influences are used to design the novel controller. The PID controller and the simple model‐based controller are also developed to compare with the novel one. Moreover, the robustness of the controller is verified by the platform friction and the parameters uncertainty.
Findings
Simulation results show that the novel model‐based controller can gain a better tracing performance than the PID controller and even the simple model‐based controller. Under the environments of the platform with friction and 5% parameters variety, the tracing performance of the novel controller is also satisfactory, which verifies the robustness of the controller. Most importantly, the novel model‐based controller can be used in a higher precision control demand and a more complicated environment.
Originality/value
The main contribution of this paper is to derive a novel model‐based controller considering the motor systems' influence, which enhances the robustness of the controller. To the authors' best knowledge, such a framework for the improved model based controller has not been well treated in the past literature. The conventional PID controller and a simple model‐based controller are also built to verify the advantages of the improved model‐based controller.
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Yanhui Du, Jingfeng Yuan, ShouQing Wang, Yan Liu and Ningshuang Zeng
The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation…
Abstract
Purpose
The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation department, which negatively impacts the information quality, leading to information asymmetry and undermining the overall effectiveness of supervision. This study aims to explore how to use blockchain to anchor the information used for supervision in PPP projects to the original information, to strengthen the oversight.
Design/methodology/approach
This paper adopts the principles of design science research (DSR) to design a conceptual framework that systematically organizes information along the information dissemination chain, ensuring the reliable anchoring of original information. Two-stage interviews involving experts from academia and industry are conducted, serving as formative and summative evaluations to guide the design.
Findings
The framework establishes a weak-centralized information organizing mode, including the design of governance community and on-chain and off-chain governance mechanisms. Feedback from experts is collected via interviews and the designed framework is thought to improve information used for supervision. Constructive suggestions are also collected and analyzed for further development.
Originality/value
This paper provides a novel example exploring the inspirations blockchain can bring to project governance, like exercising caution regarding the disorderly expansion of public sector authority in addressing information disadvantages and how to leverage blockchain to achieve this. Technical details conveyed by the framework deepen understanding of how blockchain benefits and the challenges faced in successful implementation for practitioners and policymakers. The targeted evaluation serves as rigorous validation, guiding experts to provide reliable feedback and richer insights by offering them a more cognitively convenient scenario.
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Bingsheng Liu, Juankun Li, Dan Wang, Henry Liu, Guangdong Wu and Jingfeng Yuan
This study aims to develop a collaborative governance framework (CGF) to systematically investigate the impeding factors (IFs) in terms of the operational sustainability of PPPs…
Abstract
Purpose
This study aims to develop a collaborative governance framework (CGF) to systematically investigate the impeding factors (IFs) in terms of the operational sustainability of PPPs. It examines the transmission pattern (i.e. the way in which network members react to each other) of the IFs network.
Design/methodology/approach
Literature review and interview were adopted to identify the IFs. Then, with the data collected from the interview in China, the social network analysis and interpretive structure model were synergised to examine the chain reaction, driving and dependent powers, and hierarchical structure of the identified IFs.
Findings
The results reveal that the cognition, institutional, financial and participation aspects are key barriers confronted by PPP sustainability, and the government plays a leading role in controlling factors causing sustainability-related problems in PPPs. Weak government leadership and institutional environment were identified as the most fundamental reasons triggering a chain of IFs, while project governance and management activities act as bridge nodes that play an intermediary role in the IFs network.
Research limitations/implications
This research contributes to the literature on PPP governance by (1) bridging the literature gap through the development of CGF for explaining the governance of PPP sustainability with a holistic view that considers both macro environment and operational project processes; and (2) identifying the transmission pattern of IFs network which uncovers the underlying dynamics causing the unsustainable operation of PPPs.
Practical implications
This research provides practitioners with a list of key checkpoints for preventing failure escalation, enables decision-makers to prioritise obstacle-mitigation efforts and develop a feasible process to control PPP operation, and offers management countermeasures to remove the key barriers impeding PPP sustainability.
Originality/value
This study is novel for adopting network-oriented techniques to quantify the relative importance of the IFs and examine the transmission pattern of the IFs system. Therefore, it visualises the complex underlying dynamics causing unsustainable PPP operation, identifies root and direct causes of PPP failures, and provides decision-makers with insights into sustaining PPP sustainability from a network-oriented perspective.
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Lingxiao Wang, Jingfeng Yuan, Yudi Chen, Xin Wan and Guanying Huang
The construction and real estate sectors are vital to national economies, but traditional construction methods often lead to challenges such as safety risks, noise and…
Abstract
Purpose
The construction and real estate sectors are vital to national economies, but traditional construction methods often lead to challenges such as safety risks, noise and environmental pollution. While intelligent construction is believed to mitigate these issues, there is a lack of solid empirical evidence on whether it truly benefits the general public. This paper seeks to explore the societal benefits of intelligent construction from the public’s perspective, addressing this research gap.
Design/methodology/approach
The research adopts a two-step approach. First, topic mining is conducted to identify topics closely related to the public’s daily life, such as environmental impact, construction traffic management and construction technologies. These topics are then analyzed through sentiment analysis using a bidirectional long short-term memory model with attention mechanism to determine whether the public has a favorable view of these aspects of intelligent construction, indirectly demonstrating the benefits to the public.
Findings
The primary topics identified include “industry development,” “technology enterprise,” “construction equipment,” “intelligent technology,” “environmental protection,” “robots” and “construction traffic management.” Sentiment analysis shows that public sentiment is overwhelmingly positive across all topics and regions, with “environmental protection,” “construction traffic management” and “robots” receiving the most favorable reactions.
Originality/value
This study provides empirical evidence of the societal benefits of intelligent construction from the public’s viewpoint using social media data. The results highlight the need for continued promotion and adoption of intelligent construction due to its positive impact on society.
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Lei Zhang, Jingfeng Yuan, Yan Ning, Nini Xia and Guodong Zhang
This study employs situated learning theory to elucidate the mechanisms of interorganizational collaboration by analyzing the relationships among absorptive capacity…
Abstract
Purpose
This study employs situated learning theory to elucidate the mechanisms of interorganizational collaboration by analyzing the relationships among absorptive capacity, institutional compensation, task cognitive integration and interorganizational collaboration in BIM-enabled construction projects.
Design/methodology/approach
An online questionnaire survey was conducted with managers and professionals involved in building information modeling (BIM-) enabled construction projects, and 220 valid responses were received. Data were analyzed by means of the linear regression models and bootstrap method.
Findings
The results show that (1) absorptive capacity, institutional compensation and task cognitive integration have a positive impact on interorganizational collaboration; (2) institutional compensation partially mediates the effect of absorptive capacity on interorganizational collaboration; (3) task cognitive integration fully mediates the effect of absorptive capacity on interorganizational collaboration; (4) institutional compensation and task cognitive integration serially and fully mediate the relationship between absorptive capacity and interorganizational collaboration and (5) the serial mediating model has a greater indirect effect than the other two models considered in this study.
Originality/value
This study contributes to the body of knowledge by demonstrating the way to break through the three types of organizational boundaries (i.e. syntactic, semantic and pragmatic organizational boundaries) and provide an internal collaborative mechanism from the perspective of situated learning theory. This study presents the critical effects of absorptive capacity, institutional compensation and task cognitive integration on interorganizational collaboration, selects the enhanced mediating model for explaining the effects of absorptive capacity on interorganizational collaboration and enables managers to update the traditional collaborative model in BIM-enabled construction projects.
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This paper aims to provide a bibliometric study of journal articles related to institutional repositories in the Social Sciences Citation Index (SSCI) between January 1993 and…
Abstract
Purpose
This paper aims to provide a bibliometric study of journal articles related to institutional repositories in the Social Sciences Citation Index (SSCI) between January 1993 and August 2017. This study will provide researchers with a foundation for further research.
Design/methodology/approach
In this study, articles published were analyzed; titles were searched using the term “institutional repositories.” The data were evaluated in response to four research questions on the following topics: publication trends, prolific authors, core journals and times cited.
Findings
The results indicate that 124 articles on institutional repositories were authored by 223 individuals. These articles were cited 722 times in 37 journals, and the h-index provided by the Web of Science was 14.
Research limitations/implications
This study only investigated articles titled with institutional repositories in the SSCI. Other items were not included.
Practical implications
This study shows that the implementation of institutional repositories has been limited to library and information science. If they can be used broadly in different disciplines, a better outcome can be expected.
Social implications
Based on the findings, the growth of institutional repositories as an academic subject is likely to continue. If such discussions can be conducted in other disciplines, institutional repositories may be able to provide a more promising outcome to academia.
Originality/value
This paper is valuable for researchers who wish to examine the trends of institutional repositories in the SSCI and seek possible areas for further research.
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Haina Song, Shengpei Zhou, Zhenting Chang, Yuejiang Su, Xiaosong Liu and Jingfeng Yang
Autonomous driving depends on the collection, processing and analysis of environmental information and vehicle information. Environmental perception and processing are important…
Abstract
Purpose
Autonomous driving depends on the collection, processing and analysis of environmental information and vehicle information. Environmental perception and processing are important prerequisite for the safety of self-driving of vehicles; it involves road boundary detection, vehicle detection, pedestrian detection using sensors such as laser rangefinder, video camera, vehicle borne radar, etc.
Design/methodology/approach
Subjected to various environmental factors, the data clock information is often out of sync because of different data acquisition frequency, which leads to the difficulty in data fusion. In this study, according to practical requirements, a multi-sensor environmental perception collaborative method was first proposed; then, based on the principle of target priority, large-scale priority, moving target priority and difference priority, a multi-sensor data fusion optimization algorithm based on convolutional neural network was proposed.
Findings
The average unload scheduling delay of the algorithm for test data before and after optimization under different network transmission rates. It can be seen that with the improvement of network transmission rate and processing capacity, the unload scheduling delay decreased after optimization and the performance of the test results is the closest to the optimal solution indicating the excellent performance of the optimization algorithm and its adaptivity to different environments.
Originality/value
In this paper, the results showed that the proposed method significantly improved the redundancy and fault tolerance of the system thus ensuring fast and correct decision-making during driving.
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Jingfeng Xia and Katie Nakanishi
This research seeks to examine the relationship between the open access availability of journal articles in anthropology and their citation conditions.
Abstract
Purpose
This research seeks to examine the relationship between the open access availability of journal articles in anthropology and their citation conditions.
Design/methodology/approach
The paper applies a statistical logistic regression model to explore this relationship, and compares two groups of articles, those published in high‐ranked journals and those in low‐ranked journals based on journal impact factor, to examine the likelihood that open access status is correlated to scholarly impact.
Findings
The results reveal that open access articles in general receive more citations. Moreover, this research finds that articles in high‐ranked journals do not have a higher open access rate, and articles in lower‐ranked journals have a greater increase rate of citations if they are freely accessible.
Originality/value
The findings are contrary to the existing theory that a higher citation rate of open access articles is caused by authors posting their best articles online. It is hoped that the research discoveries can help electronic publishers and digital project managers to adjust their strategies in open access advocacy.
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Fragkoulis Papagiannis, Patrizia Gazzola, David Slavata and Daniele Grechi
The purpose of this paper is to present an innovative approach for the strategic design of public–private partnerships (PPP) and private finance initiatives (PFI) based on…
Abstract
Purpose
The purpose of this paper is to present an innovative approach for the strategic design of public–private partnerships (PPP) and private finance initiatives (PFI) based on ontology.
Design/methodology/approach
Adopting a historic approach, it introduces a posteriori knowledge, deriving from the scheme’s stakeholders at the construction and implementation phase of PPPs. Continuous failures of these collaboration schemes and initiatives underline the necessity for a novel project structure. The conceptual argument is based both on empirical and epistemological approaches. It integrates the value-added (VA) of the ontological theory in the PPP/PFI business strategy.
Findings
The research emphasises contemporary design gaps of their current structure and proposes an ontological redesign. The proposed redesign produces a conceptually innovative scheme, which enhances the VA business strategies and their objectives to the structure of these collaborating schemes.
Practical implications
The ontological design of this paper is useful for academics and business consultants around the world and especially in Europe for the successful growth and development of such dynamic collaborations.
Originality/value
Enterprise ontology bridges conceptual and structural gaps of strategic objectives, which are primarily responsible for the failures of PPP collaboration.
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Jingfeng Zhao, Bo Li, Atiqe Ur Rahman and Muhammad Saeed
The main purpose of this article is to characterize a novel neutrosophic hypersoft set hybrid called possibility single-valued neutrosophic hypersoft set (psv-NHSS) for evaluation…
Abstract
Purpose
The main purpose of this article is to characterize a novel neutrosophic hypersoft set hybrid called possibility single-valued neutrosophic hypersoft set (psv-NHSS) for evaluation of investment projects by using its aggregation operations and decision-support system.
Design/methodology/approach
Two approaches are employed in this article: set-theoretic approach and algorithmic approach. The former one is used to characterize the novel notion of psv-NHSS and its aggregations. The later one is used to construct a decision-support system by using the aggregations like core matrix, maximum-valued decision, minimum-valued decision and scoring-valued decision of psv-NHSS. The adopted algorithm is implemented in real-world scenario of hydroelectric power station project evaluation for investment purpose.
Findings
The proposed model is more flexible and reliable as it addresses the limitations of literature on neutrosophic set, neutrosophic soft set and other fuzzy set-like models by considering possibility degree, hypersoft setting and neutrosophic setting collectively.
Research limitations/implications
It has limitations for decision-making situations where selection of parameters is of uncertain nature.
Practical implications
The scope of this study may cover a wide range of applications in many fields of mathematical sciences like artificial intelligence, optimization, multiple-criteria decision-making (MCDM), theoretical computer science, soft computing, mathematical statistics, etc.
Originality/value
The proposed model bears the characteristics of most of the relevant existing models collectively and fulfills their insufficiencies by introducing a novel approximate mapping.