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A weighting or a rank‐dependent weighting function was used by revamped models of risky choice to explain that Allais Paradox arises because people behave so as to maximize overall value rather than EU. The risky choice behavior was, however, simply seen by the equate‐to‐differentiate model as a choice between the best possible outcomes or a choice between the worst possible outcomes. A “judging” task was designed to examine whether the knowledge of paired outcomes will permit prediction of preference. It was shown that the observed choices could be better accounted for by the equate‐to‐differentiate approach revealed by the judging data.

The purpose of this paper is to trace the development of indigenous heritage rights in Taiwan. It examines how this pursuit is intertwined with the global indigenous movement, national political interests and rising local cultural awareness.

This paper focuses on the rise of indigenous rights in Taiwan by looking at political shifts, indigenous museums and changing frameworks through which heritage is understood. The paper uses two case studies: one is the implementation of a heritage protection law in Taiwan; the other is the launch of indigenous museums.

In Taiwan, heritage is often associated with political ideology, power relations and resource distribution. The development of heritage discourse is inseparable from the international heritage trend as well as the local political situation.

The pursuit of indigenous heritage rights in Taiwan is supported on the one hand by the government so as to define a distinctive Taiwanese culture and on the other to meet the demands of Taiwan’s indigenous movement. Two case studies are provided to examine the pros and cons of current indigenous heritage projects in Taiwan.

This study aims to reveal the decision-making process that micro and small merchants (MSMs) may go through when deciding on the mobile payment system (MPS) adoption and usage and explore how relevant factors may impact this process.

This paper uses the grounded theory approach. Specifically, this paper conducts individual, semi-structured interviews with MSMs in China. Each interview was focused on an MSM’s decisions on initial adoption and continued use of MPSs. The paper then coded the interviews to derive conceptual categories and integrated the categories to form a cohesive framework to explain how MSMs make decisions on MPS adoption and usage.

MSMs make decisions on MPS adoption and usage in three phases: first, due to variations in social and economic surroundings, some merchants develop intentions to adopt MPSs, whereas others do not. Second, merchants developing adoption intentions in phase one have to select which MPS brands to adopt and then begin using them. The brand value affects their selection. Finally, the use of MPSs of their initial choice has consequences for business operations. Merchants with different levels of personal innovativeness evaluate the consequences differently. Satisfied merchants continue using the initial MPSs, while dissatisfied merchants switch to other brands.

The findings first give a more complete depiction of how MSMs make MPS adoption and usage decisions; second show that MSMs’ MPS adoption intention is solely influenced by pro-mobile-payment surroundings and explain what constitutes pro-mobile-payment surroundings and through what mechanisms the surroundings influence adoption intentions; third reveals that selecting which MPS brand to adopt is an important decision phase; fourth explain both why merchants may continue using MPSs and why they may switch from one MPS brand to another.

The aim of this paper is to determine a parallel computational methodology for simultaneously predicting the macro/micro scale phenomena occurring during solidification processing with external electromagnetic stirring.

Macro and micro phenomena occurring in an electromagnetically‐stirred solidifying melt are simulated using a numerical model that integrates the finite element methodology for transport phenomena and the Monte‐Carlo cellular‐automata method for microstructure formation. Parallel algorithm is introduced to enhance the computational efficiency.

Computed results show that parallel algorithm can be effective in enhancing the computational efficiency of a combined macro/micro model if it is applied appropriately. Also, electromagnetically induced stirring can have a strong effect on the nucleation and grain growth and hence the final solidification microstructure.

This paper fulfils a need for developing an efficient numerical methodology to simulate complex electromagnetically‐assisted transport phenomena and microstructure formation during solidification processing systems.

The purpose of this paper is to examine the great contributions made by the American library expert, Mary Elizabeth Wood, to Chinese library development.

As a pioneer of the modern library movement Mary Elizabeth Wood devoted herself to a Chinese library career. It was structured according to the following theme: setting up the Boone Library and introducing the modern American public library into China; establishing Boone Library School and initiating Chinese library science education; raising money and appealing for China's library development; helping forward the foundation of the Library Association of China; as well as promoting Chinese library intercommunion and cooperation with the West.

With the background of underdeveloped Chinese librarianship, Mary Elizabeth Wood introduced modern American public library spirit into China, opened the gate of Chinese library science, and promoted Chinese library science.

The paper discusses the library history of China and the role of an American librarian in Chinese library history; thus, it should be of wide interest to researchers involved in library history.

Mary Elizabeth Wood devoted herself to a Chinese library career, and promoted Chinese library science greatly, but research on her is limited. This paper considers her contribution to Chinese library science.

This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.

The purpose of this paper is to examine how Si-shu, a traditional form of local, private education grounded in classical instruction, responded to the rapid modernization of education during the late Qing dynasty and early Republic of China and to explain why these schools, once extraordinarily adaptable, finally disappeared.

The authors have examined both primary and secondary sources, including government reports, education yearbooks, professional annals, public archives, and published research to analyze the social, political and institutional changes that reshaped Si-shu in the context of China's late-19th- and early-20th-century educational modernization.

Si-shu went through four stages of institutional change during the last century. First, they faced increased competition from new-style (westernized) schools during the late Qing dynasty. Second, they engaged in a process of intense self-reform, particularly after the Xinhai Revolution of 1911. Third, they were marginalized by the new educational systems of the Republic of China, especially the Renxu School System of 1922 and the Wuchen School System of 1928. Finally, after the foundation of the People's Republic of China in 1949, they were considered remnants of feudal culture and forcibly replaced by modern schools.

This paper brings hitherto unexplored Chinese sources to an English-speaking audience in an effort to shed new light on the history of traditional Chinese education. The fate of Si-shu was part of the larger modernization of Chinese education – a development that had both advantages and disadvantages.

The triangular intuitionistic fuzzy number (TIFN) is very useful for expressing ill-known quantity. The purpose of this paper is to develop a new method for multi-attribute group decision-making (MAGDM) problems, in which the attribute values are the TIFNs, the attribute weights are completely unknown and the weights of decision makers are given by linguistic variables.

A new method is given to rank TIFNs based on the weighted possibility mean and standard deviation of TIFNs. The weighted Minkowski distance of TIFNs is defined by using the weighted lower and upper possibility means of TIFNs. The weights of experts are determined in terms of the voting model of intuitionistic fuzzy set (IFS). The weights of attributes can be objectively determined through utilizing the information entropy defined by weighted Minkowski distance of TIFNs. Through integrating the attribute weights and expert weights, the collective comprehensive ranking values of alternatives are obtained and used to rank the alternatives.

The stock selection example and comparison analysis show the validity and applicability of the method proposed in this paper.

The paper presents a new ranking method of TIFNs and defines the weighted Minkowski distance of TIFNs. The weights of experts are determined in terms of the voting model of IFS. The weights of attributes can be objectively determined through utilizing the information entropy. The proposed method can greatly enhance the flexibility and agility of decision-making process.

Autonomous obstacle avoidance is important in unmanned surface vehicle (USV) navigation. Although the result of obstacle detection is often inaccurate because of the inherent errors of LIDAR, conventional methods typically emphasize on a single obstacle-avoidance algorithm and neglect the limitation of sensors and safety in a local region. Conventional methods also fail in seamlessly integrating local and global obstacle avoidance algorithms. This paper aims to present a cooperative manoeuvring approach including both local and global obstacle avoidance.

The global algorithm used in our USV is the Artificial Potential Field-Ant Colony Optimization (APF-ACO) obstacle-avoidance algorithm, which plans a relative optimal path on the specified electronic map before the cruise of USV. The local algorithm is a multi-layer obstacle-avoidance framework based on a single LIDAR to present an efficient solution to USV path planning in the case of sensor errors and collision risks. When obstacles are within a layer, the USV uses a corresponding obstacle-avoidance algorithm. Then the USV moves towards the global direction according to fuzzy rules in the fuzzy layer.

The presented method offers a solution for obstacle avoidance in a complex environment. The USV follows the global trajectory planed by the APF-ACO algorithm. While, the USV can bypass current obstacle in the local region based on the multi-layer method effectively. This fact was validated by simulations and field trials.

The method presented in this paper takes advantage of algorithm integration that remedies errors of obstacle detection. Simulation and experiments were also conducted for performance evaluation.

Facing the global public health emergency (GPHE), the conflict of cultural differences and the imbalance of vital resources such as knowledge among different organizations are becoming more severe, which affects the enthusiasm and sustainability of firms' innovation heavily. It is an urgent problem to be solved for firms how to make use of internal knowledge and external power to help firms' sustainable innovation (FSI). Thus, the purpose of this study is to deeply analyze how firms' internal knowledge diversity (KD) and external ego-network structures [ego-network density (ED) and honest brokers (HB)] affect FSI, as well as how the ego-network structures (ED and HB) moderate the relationship between KD and FSI based on the perspective of the ego network.

Based on the data of the alliance innovation networks of China's new energy industries in 2009–2019, this study uses the social network analysis method and negative binomial regression model to explore the effect of KD and ego-network structures (ED and HB) on FSI, as well as the moderating effects of ego-network structures (ED and HB) on the relationship between KD and FSI based on the perspective of ego network.

This study finds that KD, ED and HB can boost FSI. Moreover, ED plays a negative moderating role in the relationship between KD and FSI. However, the negative moderating effect of HB on the relationship between KD and FSI is not significant.

This study presents fresh empirical evidence and new insights for firms on how to make full use of firms' internal KD and external ego-network structures to facilitate FSI.

First, this study not only enriches the research on the consequences of KD but also expands our understanding of the knowledge-based view to some extent. Second, this study not only enriches the motivation research of the FSI based on the perspective of ego-network in the context of the GPHE but also expands the application scope of social network theory and sustainable innovation' theory in part. Third, this paper is a new attempt to apply social network theory and knowledge-based view at the same time.