Suchergebnisse

Students' academic self-efficacy, interests, goals, and perceptions of social supports and barriers critically influence their career development and career management. In this study, we used the social cognitive career theory (SCCT) to predict the academic interests and goals of Chinese Middle Vocational-Technical School Students. Five hundred and Seventy-eight (578) Chinese middle vocational-technical school students majoring in electric power engineering were investigated. Participants performed measures of self-efficacy, outcome expectation, academic interests, academic goals, and social supports and barriers relative to the achievement of their majors. The data offered adequate fit to the basic SSCT model across gender and homeplace. However, self-efficacy and outcome expectation did not directly predict academic goals. The implication of findings was discussed.

Collaboration is essential to public management. In the Chinese culture, collaborators' satisfaction is considered key to quality of collaboration. Focusing on the role of negotiation in collaboration, this article presents an integrative negotiation theory that explores the development of collaborators' satisfaction during negotiation process. Priming methodology was adapted to explore the causal relationship between collaborator's level of satisfaction and its predicting variables, such as experienced emotions during negotiations and sense of profitability. The results were pertinent to the field of collaborative public management and negotiation.

PurposeThis study investigated the impacts of the interaction experiential customization (IEC) mode on consumers' information processing fluency and green customization intention (GCI) as well as the moderating effect of consumers' self-construal.Design/methodology/approachThis study conducted an online field experiment, questionnaire study and between-subjects laboratory experiment to test the hypotheses.FindingsIt was found that IEC had a significant positive effect on consumers' GCI. Moreover, consumer retrieval processing fluency played a partial mediating role in the relationship between IEC and GCI. In addition, consumers' self-construal moderated the "IEC? Three dimensions of processing fluency" relationships.Practical implicationsThe results emphasized the importance of IEC in influencing consumers' consumption intention in a green customization setting and have some practical implications, that is, companies have the opportunity to use appropriate digital choice architecture designs, which can enhance consumer processing fluency when promoting eco-friendly products in the customized consumption process, especially for independent consumers.Originality/valueThis study focused on the customization design on consumers' GCI and explained the mechanism of impact of IEC on improving consumers' processing fluency and GCI in a product customization setting based on the fluency theory. In addition, this study investigated the moderating effect of consumers' self-construal (independent vs interdependent) on their significant different information processing modes for low-carbon choices.

The importation of Chinese porcelain and celadon into Europe has long been thought to have first begun around the thirteenth century AD. A unique group of Chinese ceramic sherds from archaeological contexts in Spain dated to between the ninth and eleventh centuries, however, now represents the earliest Chinese wares identified in Europe. Such an unexpectedly early presence on high-status sites in Western Europe probably reflects changing patterns of commerce in the Indian Ocean and the giving of prestigious gifts at the very highest levels of social and political power across the Islamic Mediterranean world.

The rapid development of the Chinese economy has led to an increasing fraction of agricultural land being converted to nonagricultural uses. The zoning and protection of farmland with the best agricultural quality (basic farmland) is extremely intensive and complicated work. In this paper we establish a remote sensing, geographic information system, and particle swarm optimisation (PSO) multiobjective decision model (MODM) to calculate the optimum solution for basic farmland protection. Furthermore, a new particle evolution rule combined with a genetic algorithm is introduced to improve the solution performance. The PSO-based zoning model is then utilised in the case study of Yicheng, Hubei Province, China, to demonstrate that our MODM framework excels in providing an optimum solution for balancing the three objectives of basic farmland zoning and protection: maximising farmland spatial compactness, maximising farmland soil fertility, and minimising transportation cost. In particular, the model compares alternative Pareto-optimal scenarios in which several objectives can be achieved without compromising the other objectives to obtain a real and practical blueprint for action. Our model enables urban planners to test and compare the different scenarios under various particle swarm conditions. In addition, the PSO-based zoning model constitutes a true guide for real-world planners, and this model can be extended to specify basic farmland protection optimisations in other regions of China.