Search results

The purpose of this paper is to examine how a Chinese entrepreneur, Zhang Yin, exercises international entrepreneurship in her paper recycle business – Nine Dragons Paper company, and has become one of the most successful female business women in the world.

The paper uses an in‐depth case study or storytelling approach to explain the economic success of a Chinese female entrepreneur, Zhang Yin and her Nine Dragons Paper company. The illustration of Zhang's global coordination is divided into three parts: first, from Shenzhen, China to Hong Kong; second, from Hong Kong to Los Angeles; and finally, from the USA back to her home country, China.

This case illustrates and concludes that the business success of a paper recycling enterprise, namely Nine Dragons Paper, is attributable to the global coordination efforts of its founder, Zhang Yin, who is able to identify profit opportunities around the globe. With correct foresight, Zhang Yin is able to overcome cultural barriers, and venture into foreign markets. Her international entrepreneurship and global coordination enable world resources to be allocated in the most efficient way.

Austrian economics, using storytelling approach, can be a very useful tool in interpreting entrepreneurial behavior and business strategies.

The case provides us with an understanding of how the entrepreneur can earn profit by being alert to opportunities.

The case is the first of its kind to illustrate the international coordination function of a female Chinese entrepreneur and her paper recycle business.

The purpose of this paper is exploring the effects of segment dynamic and temporal dynamic triggered by the COVID-19 pandemic on classifying service quality attributes, thereby formulating improvement strategies to satisfy customers and respond to threats.

Given the dynamics of the attractive quality theory, this paper designs a framework with four phases by embedding techniques of text mining and deep learning based on evidence from online reviews.

This paper figures out dynamics of service quality attributes for distinct segments and their dynamic proportion along with different stages of the pandemic. Another finding demonstrates segment dynamic and temporal dynamic effects of sentiments toward service quality attributes on customer satisfaction under the impacts of pandemic. Classification results and improvement strategies are derived for varying segments at different pandemic situations.

This paper reveals dynamic effects on classifying service quality attributes, which contributes to assisting hospitality practitioners from different segments in improving service quality when facing with the challenges of crisis and potential risks.

Given hospitality industry is time- and segment-sensitive, the authors achieve the quantification of dynamics of attractive quality theory and extend it into hospitality marketing and crisis management from the perspective of dynamics with evidence from online reviews.

The purpose of this study is to improve the computational efficiency and accuracy of fatigue reliability analysis.

By absorbing the advantages of Markov chain and active Kriging model into the hierarchical collaborative strategy, an enhanced active Kriging-based hierarchical collaborative model (DCEAK) is proposed.

The analysis results show that the proposed DCEAK method holds high accuracy and efficiency in dealing with fatigue reliability analysis with high nonlinearity and small failure probability.

The effectiveness of the presented method in more complex reliability analysis problems (i.e. noisy problems, high-dimensional issues etc.) should be further validated.

The current efforts can provide a feasible way to analyze the reliability performance and identify the sensitive variables in aeroengine mechanisms.

To improve the computational efficiency and accuracy of fatigue reliability analysis, an enhanced active DCEAK is proposed and the corresponding fatigue reliability framework is established for the first time.

The purpose of this paper is to improve the properties of metal nanoparticles which are easy to agglomerate and hard to disperse evenly, thus limiting the application of metal nanoparticles in grease. A novel technology was proposed for modifying metal oxide to improve the dispersibility of nanoparticles.

SA-TiO2 nanoparticles were synthesized using an in-situ esterification method followed by surface modification with stearic acid. The microstructure of the nanoparticles was characterized by scanning electron microscope, transmission electron microscope and Fourier transform infrared spectroscopy and their thermal stability was evaluated by thermogravimetric analyzer. The tribological properties of the SA-TiO2 nanoparticles as additives in lithium grease were evaluated with a four-ball tester and TE77 reciprocating friction tester. The worn surfaces of the steel balls were investigated by EDS and XPS.

The prepared nanoparticles can be well dispersed in the lithium grease and possess much better tribological properties compared to traditional nanoparticles. The results indicated that the excellent tribological performance of SA-TiO2 was attributed to the chemical reaction film composing of Fe2O3, iron oxide and other organic compounds.

This paper provides a method to prevent the agglomeration of nano-TiO2 by surface modification with stearic acid. And the prepared nanoparticles can effectively improve the tribology performance of lithium grease.

This paper aims to review and synthesize the existing literature related to negotiation complexity and provides an integrative model to systematically identify and examine factors contributing to negotiation complexity and how they affect negotiating parties’ behaviors and economic and subjective outcomes.

The approach was to combine relevant literature from negotiation in general and from negotiation complexity in particular and to develop and support an integrative model of complexity in real-world negotiations.

The literature on negotiation complexity and previous analytical frameworks are reviewed from a cross-disciplinary perspective. Based on the integrative review, an integrative model of negotiation complexity is proposed for identifying important complexity contributory factors. Six contributory factors are distinguished based on the three negotiation components – negotiation task, dynamic variables of negotiators and negotiation context. Their effects on negotiation complexity are examined and discussed with respect to four complexity dimensions (i.e. informational and computational, procedural, social and strategic dimensions). Finally, the effects of negotiation complexity on parties’ behaviors and outcomes are examined based on previous theoretical and empirical research and practical tools for managing negotiation complexity are delineated.

The integrative review and conceptualization of negotiation complexity are helpful for gaining a better understanding of negotiation complexity and its management in various real-world domains.

This study is aimed to explore the dynamic performance incentive model for a flexible PPP contract to handle uncertainties based on supervision during the long-time concession period, so as to ensure operation performance and benefits of the public sector while protecting the economic benefit of the private sector, thus avoiding unnecessary renegotiation.

The microeconomic and principal–agent theories and relevant studies on the basic incentive model and flexible contract are fully utilized. The procedure for developing the dynamic incentive model and the assumptions about the quantitative relationships among fundamental variables or factors are first proposed. The static incentive model without incentive parameter adjustment and then the dynamic incentive model allowing incentive parameter adjustment are successively developed. Finally, the propositions regarding the valid adjustment ranges of the incentive parameter with respect to the economic, social and hybrid benefits of the public sector and the economic benefit of the private sector are suggested.

The dynamic incentive model enables to achieve a flexible contract to handle uncertainties on the PPP project to ensure the benefits of the public sector while protecting the benefit of the private sector. The economic, social and hybrid benefits of the public sector and the economic benefit of the private sectors can be respectively realized through adjusting the reward–punishment coefficient under different adjustment ranges and different importance. The incentive model is able to ensure the benefits of the public sector while protecting the benefit of the private sector by controlling the private sector's effort level unknown to the public sector.

The dynamic incentive model helps implement a flexible PPP contract to handle uncertainties during the operation period, thus controlling the effort level of the private sector and ensuring the benefits of the public sector while protecting the economic benefit of the sector. It enables to clarify the quantitative relationships between the operation performance, the benefits of the stakeholders, the effort level of the private sector and the reward–punishment coefficient. This study contributes to the domain knowledge of the incomplete contract theory for designing a flexible PPP contract with dynamic incentive and supervision mechanism by applying the microeconomic and principal–agent theories.

Applications of robotic systems in agriculture, forestry and high-altitude work will enter a new and huge stage in the near future. For these application fields, climbing robots have attracted much attention and have become one central topic in robotic research. The purpose of this paper is to propose an energy-optimal motion planning method for climbing robots that are applied in an outdoor environment.

First, a self-designed climbing robot named Climbot is briefly introduced. Then, an energy-optimal motion planning method is proposed for Climbot with simultaneous consideration of kinematic constraints and dynamic constraints. To decrease computing complexity, an acceleration continuous trajectory planner and a path planner based on spatial continuous curve are designed. Simulation and experimental results indicate that this method can search an energy-optimal path effectively.

Climbot can evidently reduce energy consumption when it moves along the energy-optimal path derived by the method used in this paper.

Only one step climbing motion planning is considered in this method.

With the proposed motion planning method, climbing robots applied in an outdoor environment can commit more missions with limit power supply. In addition, it is also proved that this motion planning method is effective in a complicated obstacle environment with collision-free constraint.

The main contribution of this paper is that it establishes a two-planner system to solve the complex motion planning problem with kinodynamic constraints.

The purpose of this research is to measure incompatibilities between the manufacturing approaches (MA) used by the manufacturing industries, and those used for the off-site construction (OSC) of buildings. The aim is to explore which of these approaches could be integrated into OSC in a precise manner as viewed by architects as well as how this might occur.

An empirical research and empirical cycle (EC) was adopted as a methodological framework to measure incompatibilities. A combination of quantitative and qualitative mixed methods was explored through a literature-based case study of prefabricated houses and cars, nine real-life projects built by the second author's research team and the first-named author's practical experiences of leading these projects, based on a logic framework derived from the authors’ reflections of their architectural practices.

The findings quantitatively present the incompatibilities between cars (automobile bodies) and prefabricated houses. Design-related aspects have the most potential for integration (42.3% increment). The key lessons were identified as specific design philosophies and related guidelines for architects.

The findings are limited to single types of products (cars) and buildings (prefabricated houses) in particular regions. The key lessons just present a preliminary evaluation of the application of the design philosophies and related guidelines in nine real-life projects to comply with word limit constraints.

This study could help architects and other practitioners to locate and target and alleviated incompatibilities between MA and OSC. It could also precisely identify integration shortcomings to optimize decision-making as well as technical pathways for possible and effective breakthroughs.

This study provides fundamental research as a starting point for further discussion and development. A series of additional in-depth investigations combined with case studies are planned for the future. These could provide alternative study approaches to develop more appropriate architectural design methodologies and more streamlined processes.

The research contributes an alternative architectural perspective when measuring incompatibilities between MA and OSC. The results highlight the implications of precise measurement and provide guidance for architects. These facilitate the effective and successful integration of MA into OSC of buildings and promote the uptake of lean construction (LC) in OSC.

Building information modeling (BIM) has brought great advantages to project delivery and performance. However, BIM has also increased the complexity of projects. Research shows that for BIM implementation to have a positive impact in this innovative environment, BIM should be synchronized with stakeholder management. Therefore, this research aims to incorporate the theory of stakeholder management in BIM-enabled projects and determine the theory's intermediary role between BIM implementation and project performance.

An extensive literature review was conducted and 13 critical success factors (CSFs) for BIM implementation, 29 CSFs for stakeholder management and 6 CSFs for BIM project performance were identified. These measurement items were tested using a questionnaire survey method and analyzed using structural equation modeling. This research was focused on Chinese megaprojects or complex projects that were under a high level of development of BIM, which could reflect the complex stakeholder relationships and BIM implementation for project performance.

The results indicate that effective use of BIM can directly improve project performance. Further, stakeholder management has an important and positive intermediary role within the path of BIM implementation and project performance, particularly through (1) stakeholder dynamics (SD) and (2) stakeholder engagement or empowerment (SE).

The logical relationship of mutual influence among CSFs has been revealed for BIM-enabled projects. This research contributes to the effective collaboration and practice of BIM in the construction industry.

Prefabricated construction concerns off-site production, multi-mode transportation and on-site installation of the prefabricated components, which are interdependent and dynamically interactive, so coordination among the multiple stages along the prefabricated component supply chain (PCSC) is indispensable. This study aims to solve the dynamic transportation planning problem for the PCSC by addressing the interdependency, dynamic interaction and coordination among the multiple stages and different objectives of the stakeholders.

The PCSC is analyzed and then the formulation for the dynamic transportation planning problem is developed based on the just-in-time (JIT) strategy. The particle swarm optimization (PSO) algorithm is applied to solve the dynamic optimization problem.

The proposed dynamic transportation planning method for the PCSC regarding component supplier selection, transportation planning for means, routes and schedule, site layout planning and transportation plan adjustment is able to facilitate coordination among the multiple stages by addressing their interdependencies and dynamic interactions, as well as different economic objectives of the stakeholders such as suppliers or the contractor.

The study helps to achieve the advantages of prefabricated construction by prompting coordination among multiple stages of the PCSC by realizing different benefits of the stakeholders. In addition, it provides the stakeholders with the competitive bidding prices and the evaluation data for the bids quote. Meanwhile, it contributes to the domain knowledge of the PCSC management with regard to the viewpoint of coordination and integration of multiple stages rather than only one stage as well as the dynamic optimization model based on the JIT strategy and the PSO algorithm.