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The purpose of this research is to seek better relational strategies between formal and informal stakeholder relationships to improve megaproject performance.

The conceptual model was developed with twenty hypotheses based on the literature review. Then a questionnaire survey was conducted, and the collected data were analyzed by Partial Least squares Structural Equation Modeling (PLS-SEM) for validating the proposed model. Finally, the findings were discussed by a comparative study to explain the different effects of the formal and informal relationship on megaproject performance, and the managerial implications are presented for the stakeholders to implement the relationship management in the megaprojects.

The research finding reveals that formal relationship plays a dominating role in cost, quality, and labor protection; meanwhile, it is still more reliable in improving coordination, safety and environmental protection. Both formal and informal relationship is equally important towards collaboration and scheduling while the informal relationship is more effective in communication and project transparency.

The study extends the knowledge of relationship management in the domain of the megaproject performance. It provides a comprehensive and systematic understanding of the impact of formal and informal stakeholder relationships on ten aspects of the megaproject performance by the proposed conceptual model and PLS-SEM results. The research findings contribute to the theory of relationship management on how the different influences between formal and informal stakeholder relationships lead to better megaproject performance from inter-organizational level to project and societal level.

The purpose of this paper is to describe the development of a collaborative framework for balancing stakeholder power and social responsibilities in construction projects. To resolve the problems of unclear responsibility that is common in construction projects, the framework is designed to help stakeholders identify their roles in various issues and to facilitate collaborative endeavours by elucidating their responsibilities.

The framework is designed using a scientific approach based on a problem-solution paradigm. It is developed as a model that would provide strategies for responding to various issues and that would also balance stakeholder responsibilities with power. A case study is conducted to validate the framework in an ongoing real estate project in China.

The effectiveness of the framework is validated from the case study, which found that the engagement of stakeholders is improved by adopting the framework. It is also found that use of the framework led to enhancement of communication and trust, and better collaboration through a collective form of responsibility.

The study provides valuable insights into stakeholder collaboration on social responsibility issues in construction projects. The dynamic nature of stakeholders is addressed, and an easy-to-follow framework is offered for use in construction projects.

With the increasing number of Web services, correct and efficient classification of Web services is crucial to improve the efficiency of service discovery. However, existing Web service classification approaches ignore the class overlap in Web services, resulting in poor accuracy of classification in practice. This paper aims to provide an approach to address this issue.

This paper proposes a label confusion and priori correction-based Web service classification approach. First, functional semantic representations of Web services descriptions are obtained based on BERT. Then, the ability of the model is enhanced to recognize and classify overlapping instances by using label confusion learning techniques; Finally, the predictive results are corrected based on the label prior distribution to further improve service classification effectiveness.

Experiments based on the ProgrammableWeb data set show that the proposed model demonstrates 4.3%, 3.2% and 1% improvement in Macro-F1 value compared to the ServeNet-BERT, BERT-DPCNN and CARL-NET, respectively.

This paper proposes a Web service classification approach for the overlapping categories of Web services and improve the accuracy of Web services classification.

The purpose of this paper is to prepare Ti(C,N) coatings on TA15 treated and not treated by shot peening using double glow plasma alloying technique. The effect of shot peening on the wear behavior of Ti(C,N) coatings is discussed.

The Ti(C,N) coatings were prepared by double glow plasma alloying technique on two different TA15 substrate; one is shot peened and the other is not.

Ti(C,N) coating on SP-treated TA15 was thicker and denser, and the grain size was smaller compared with that on original TA15. Compared with the Ti(C,N) coating on original TA15, the wear resistance of that on SP-treated TA15 is improved. Ti(C,N) coating on SP-treated TA15 showed higher nanohardness and bearing capacity than that on original TA15.

For double glow plasma alloying technique, surface quality, surface activity and other factors will have influence on the thickness and density of the coating. The wear mechanisms of Ti(C,N) coating on original TA15 are serious abrasive wear and oxidation wear. However, the wear mechanism of Ti(C,N) coating on SP-treated TA15 is slightly oxidation wear.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0283/

Personal protective assembles protect searchers and rescuers from potential hazards when they enter the earthquake disaster field. Since the earthquake rescue work is risky and complicated, the corresponding protective clothing should meet with the protective, functional and comfort performance demands. The purpose of this paper is to discuss the design principles of this kind of protective clothing and present a design model based on the principles.

In this study, the requirements of the protective clothing were investigated in terms of environment, human and clothing. Then the design principles were analyzed by the hierarchy method in four aspects: protection, comfort, ergonomics and compatibility. Design approaches were also investigated in accordance with the design principles in three hierarchies.

Key design points were summarized in the selection of the shell fabrics and linings, clothing styles, constructions and specifications. Also, the overall design methodology of the protective clothing for earthquake rescue members was established.

This paper provided a theoretical basis and design model for the development of earthquake search and rescuers’ clothing.

The ergonomic performance of protective clothing for earthquake disaster search and rescue team members is significant for its protective performance. The paper aims to discuss these issues.

By experimental simulations of the rescue tasks, an evaluation system for the protective clothing in both static and dynamic conditions was designed and established in this study. In static evaluation, motion capture system was used to measure the ranges of motions. The mobility was analyzed by the comprehensive evaluation method. In dynamic experiments, three types of rescue tasks were simulated for ergonomic evaluation. The results were analyzed based on the multi-levels joint evaluation method.

It was shown that the established evaluation system could meet well with the requirements of the ergonomic evaluation.

Fuzzy comprehensive evaluation method is an effective tool in ergonomic evaluation of clothing. The newly designed coverall and suit are of better ergonomic performance compared with the in-service clothing.

This study proposes an approach to solve the fundamental problem in using query-based methods (i.e. searching engines and patent retrieval tools) to screen patents of information and communication technology in construction (ICTC). The fundamental problem is that ICTC incorporates various techniques and thus cannot be simply represented by man-made queries. To investigate this concern, this study develops a binary classifier by utilizing deep learning and NLP techniques to automatically identify whether a patent is relevant to ICTC, thus accurately screening a corpus of ICTC patents.

This study employs NLP techniques to convert the textual data of patents into numerical vectors. Then, a supervised deep learning model is developed to learn the relations between the input vectors and outputs.

The validation results indicate that (1) the proposed approach has a better performance in screening ICTC patents than traditional machine learning methods; (2) besides the United States Patent and Trademark Office (USPTO) that provides structured and well-written patents, the approach could also accurately screen patents form Derwent Innovations Index (DIX), in which patents are written in different genres.

This study contributes a specific collection for ICTC patents, which is not provided by the patent offices.

The proposed approach contributes an alternative manner in gathering a corpus of patents for domains like ICTC that neither exists as a searchable classification in patent offices, nor is accurately represented by man-made queries.

A deep learning model with two layers of neurons is developed to learn the non-linear relations between the input features and outputs providing better performance than traditional machine learning models. This study uses advanced NLP techniques lemmatization and part-of-speech POS to process textual data of ICTC patents. This study contributes specific collection for ICTC patents which is not provided by the patent offices.

The paper attempts to discuss the optimal pricing decisions under the decentralized and centralized decision and analyze the influence of online reviews and in-sale service on dual-channel supply chain. Finally, the authors design a two-part tariff coordination mechanism.

To deal with this pricing conflict problems of dual-channel supply chain consisting of dominant manufacturer and a retailer, considering the fact that online reviews and in-sale service are important factors on consumers’ purchase decisions, the authors establish some basic models and exploit them to discuss the optimal pricing decisions under the decentralized and centralized decision and analyze the influence of online reviews and in-sale service on dual-channel supply chain. Finally, the authors design a profit-sharing coordination mechanism.

The results show that the optimal online direct selling price is positively correlated with product perceived quality obtained from online reviews and negatively correlated with the in-sale service. The traditional retail price is positively correlated with the in-sale service and weakly correlated with online reviews. For the manufacturer and retailer, whether decentralized decision or coordination contract, their profits increase with the increase of the in-sale service in a certain range and quality perceived from spontaneous online reviews. Online reviews and in-sale service are important factors on consumers’ purchase decisions. Positive in-sale services and online reviews can provide consumers with a better shopping experience, thereby promoting their enthusiasm for shopping and improving their quality of life. The two-part tariff coordination mechanism improves the profits of the manufacturer and the traditional retailer, respectively, through the transfer fee.

The proposed approach can well analyze the channel conflicts and pricing problems between retailers and manufacturers with respect to product offline price and online price. The analysis and results can inform decision-making for manufacturers and retailers.

Relationship management evolves with dynamic and complex environments of megaprojects. However, studies on the longitudinal measurement of relationship management performance for each stakeholder in dynamic and complex project environments are lacking. The purpose of this research is to propose an NK-network evolution model to evaluate stakeholder performance on relationship management in the development of megaprojects.

The model input includes the stakeholder-associated issues and stakeholders' relational strategies, the co-effects of which determine the internal effects of relationship management in megaprojects. The model processing simulates the stakeholder performance of relationship management under the dynamic and complex nature of megaprojects. The NK model shows the dynamic stakeholder interactions on relationship management, whereas the network model presents the complex stakeholder structures of the relationships between stakeholders and relevant issues. The model output is the evolution graph to reveal the weak stakeholder performance on relationship management in the timeline of the project duration.

The research finding reveals that all stakeholders experience the plunge of stakeholder performance of relationship management at the decision-making moment of the planning stage. Construction, environmental and pressure groups may experience the hardship of relationship management at the start of the construction stage. The government is likely to suffer difficulties in relationship management in the late construction stage. Local industry groups would face challenges in relationship management in the middle of the construction stage and handover stage.

The research provides a useful approach to measuring weak moments of relationship management for each stakeholder in various project phases, considering the dynamic and complex environments of megaprojects. The proposed model extends the current knowledge body on how to make project stakeholder analysis by modelling dynamic and complex environments of megaprojects, with bridging the knowledge domains of evolution modeling techniques and network methods.

The purpose of this paper is to analyze the liquid sloshing behaviors in two-dimensional tanks with various porous baffles under the external excitation.

Adopting the finite element method (FEM) and control variable method to study the impacts of the height, length, number, location, shape, porous-effect parameter of the porous baffle, the external load frequency and the shape of the tank on the liquid sloshing response.

The amplitude of the free surface can be reduced effectively when the baffle opening is appropriate. The anti-sway ability of the system increases in pace with the baffle’s height growing. Under the same conditions, the shapes of the baffles have an important effect on improving the anti-sway ability of the system.

As there exist the differences of the velocity potential between each side of the porous baffle, which means that there are two different velocity potentials at a point on the porous baffle, the conventional finite element modeling technologies are not suitable to be applied here. To deal with this problem, the points on the porous baffle are regarded as two nodes with the same coordinate to model and calculate.