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In recent years, hotels in China have been interested in leveraging social media platforms to facilitate interactions with and among consumers. Such brand engagement efforts on social media networks are believed to promote brands through co-creation of consumer experiences and values. This study was conducted in the context of Chinese hotels. The paper aims to identify two forms of brand engagement via social media platforms – consumer-initiated engagement and firm-initiated engagement – and to examine their effects on hotels’ display advertising effectiveness.

This study collected a comprehensive data set. First, the authors collected display advertisement data from two hotel chains in China. Second, the authors gathered the two hotels’ engagement data from Weibo. A generalized linear mixed model was used in data analysis.

The findings of the study indicate that both forms of brand engagement on social media network sites positively influence display advertising effectiveness. Moreover, for a strong brand, consumer-initiated engagement is more influential in increasing display advertising effectiveness; however, for a weak brand, firm-initiated engagement gains more clicks and conversions from advertisements.

As hotels in China continue to leverage online media platforms to reach, engage with and co-create value with potential and existing consumers, this study provides managers with insight as to how they can achieve higher advertising effectiveness by engaging with consumers on a consistent basis on social media.

This study mainly contributes to recent increasing research on engagement and value co-creation by providing a lens through which to assess the relationship between brand engagement via social media networks and online display advertising effectiveness.

The purpose of this study is to examine Chinese international students' narrative stories, experiences and racial dynamics while studying in the United States to argue that Chinese international students navigate multi-dimensional transitions and experiences in different stages. This study uses an AsianCrit lens to address the gap in existing research focusing on Chinese international students' narratives and experiences.

Narrative inquiry with a social constructivist paradigm was used to provide an in-depth exploration of Chinese international students' navigation and negotiation in multi-dimensional experiences. Three phases of semi-structured interviews and journal entries were utilized to examine participants' experiences and struggles while studying in the United States. Descriptive coding, deductive coding and restorying were used to analyze and feather narrators' voices and stories for interpretation.

The findings in this qualitative study demonstrate that Chinese international students have unique backgrounds, and their backgrounds shape their multi-dimensional transitions and experiences in the present and the future. The findings address students' nuanced experiences in academic transitions and non-academic transitions with an AsianCrit lens.

The study calls for higher education institutions to promote intercultural and international training for faculty and staff to better understand and support the unique needs of international students.

Using Multiple and Multi-dimensional Transitions theory with an AsianCrit lens helps make sense of the intersection of international student status, geopolitical tensions, racial dynamics and international student experiences.

The problem of concurrent thermal and vibration loading has not been thoroughly studied even though it is common in electronic packaging applications. Here we attempt to address such a problem using a damage mechanics based constitutive model. Damage mechanics constitutive model for eutectic Pb/Sn solder alloys is used to simulate the damage effects of concurrent cyclic thermal loads and vibrations on Ball Grid Array (BGA) packages. The model is implemented into the commercial finite element code ABAQUS through its user defined material subroutine capability. For the integration algorithm we have used a return mapping scheme, which dramatically improves the convergency rate as compared to previous implementations of the same model. Results are examined in terms of accumulation of plastic strain within the solder connections. It is shown that the simplistic Miner’s rule can not accurately account for the combined effect of both loadings acting concurrently.

The purpose of this paper is to investigate the superior relationship between blood lipid- and cardiovascular disease (CVD)-related hematological parameters using superior grey relational analysis (GRA).

A total of 294 individuals who underwent simultaneous routine blood examination and blood lipid examination in the Physical Examination Center of the First Affiliated Hospital of Shantou University Medical College were included in this study. Superior GRA was performed to find out the superior factor in CVD-related hematological parameters and blood lipids. CVD-related hematological parameters included red blood cell distribution width, white cell count, and platelet count, platelet distribution width, mean platelet volume, as well as platelet crit. The indicators of blood lipids analyzed here consist of low-density lipoprotein, high-density lipoprotein, triglyceride and total cholesterol.

The results showed that all the grey relational degree of hematological parameters and blood lipids were over 0.8; the superior factor in hematological parameters was PLT, whereas TC was the superior factor in blood lipids.

Findings of this study suggested that hematological parameters are closely related to blood lipids and a potential role for hematological parameters in the prediction of dyslipidemia, which need further study; TC has the greatest influence on hematological parameters, whereas TG displays a minimal impact.

To the authors’ best knowledge, it was the first study to analyze the relationship between various CVD-related hematological parameters and blood lipids via superior GRA.

In recent years, with the rapid development of the Internet and e-commerce, the online retail business has grown rapidly. E-commerce platforms can track different click data to understand consumer behavior and demand preferences, so as to make better demand forecasts, and strategically share this information with upstream suppliers. When the platform charges a certain fee for the shared data, the suppliers face the question of whether to purchase demand information. This article aims to analyze the influence of price competition and advertising competition on the suppliers' decisions to purchase information and the online platform for data pricing.

By using static game with incomplete information, this paper explores information-sharing strategies of an online platform with two competitive brand suppliers. The authors use Nash game to analyze the suppliers' purchasing information decision and then obtain the optimal information price of the online platform with information-sharing contract.

This paper shows that demand information sharing benefits both the platform and the suppliers. Without information contracts, the online platform is willing to share demand information with at least one supplier. Especially, when the consumer's sensitivity to advertising is larger and the commission fee charged by the online platform is small, the online platforms will share information with only one supplier. Based on the game outcomes between the suppliers, two pricing strategies for information are proposed under which at least one supplier purchases information. If the consumers are less (more) sensitive to advertising competition, pricing strategy of the online platform induces both suppliers (only one supplier) to purchase information.

At present, most of the information-sharing articles are based on the traditional purchase and sale mode. Based on the background of e-commerce, this paper examines the online platform's information-sharing strategies, which has certain innovation. In addition, the results show that the information-sharing strategy of the online platform is affected by both the price and advertising competitiveness, which provides a new expansion and supplement for the information-sharing literature.

The purpose of this paper is to explore the impact of mobile social media functions on explicit and implicit knowledge sharing under the “Guanxi” system based on the framework of stimulus–organism–response (SOR).

Combined with Guanxi theory, this paper designs an experiment to collect data from the new product development (NPD) teams.

Interestingly, the results show that the effect of social media communication function on employees is greater than the impact of collaboration on employees. Specifically, on the one hand, the more employees communicate in social media, the better their feelings will be, the less they will share knowledge. On the other hand, the collaboration function has a significantly negative impact on the psychological factors of employees. Excessively close cooperation and contact may instead create a contradiction between the employees, which is not conducive to the occurrence of knowledge sharing.

This paper extends SOR framework by combining Guanxi theory to examine the relationship between social media functions and knowledge sharing behavior (KSB). In practical, companies should pay attention to the frequency of employee using social media when it is introduced for NPD teams to control the negative influence of social media functions on employee KSB.

The purpose of this study is to identify discourses of sustainability of community colleges and how they related to sustainability imaginaries.

This study used a combination of research strategies associated with corpus linguistics and critical discourse analysis. Data included 57 issues of Community College Journal, a professional magazine published by the American Association of Community Colleges, and 2,972 abstracts of dissertations about community colleges. Publication dates ranged from 2010 to 2020.

Community college discourse of sustainability coheres around six themes: careers and fields of study; curriculum and credentialing; campus ecological sustainability; administrative roles and processes; external organizations, partnerships and processes; and fiscal sustainability. There is little evidence of a sustainable living imaginary found.

The analysis is limited to a specific set of professional and academic texts about community colleges. Future researchers should explore discourses of sustainability in other contexts.

There has been no research associated with critical discourse analysis and corpus linguistics to explore community college discourses of sustainability, specifically in the field of community college leadership. The findings of this study situate the community college within contests over sustainability competencies in the practice of community college leadership development.

This paper aims to: first, it studies expert opinions about the future of clean, decentralized energy technology in Australia; second, develop an interpretive and participatory foresighting methodology for a forthcoming study.

This paper reports a forecasting study about the future of clean energy. Driven mostly by economics and changing carbon policies, the energy sector is currently moving from fossil fuels to a variety of cleaner technologies. Energy experts have several incommensurate interpretations of how this change will happen. This paper describes the first phase of an ongoing study that foresight clean energy futures in Australia. By building on a participatory method in a scientific expert community, it describes the path from technological presumptions into four parallel yet interconnected scenarios. The paper also explores the social drivers behind these scenarios.

First, energy experts in Australia classify futures into four main scenarios: abundant, where energy will be mostly produced by solar cells; traded, where the future of energy lies in virtual power plants and microgrids; circular, which targets Australia’s NetZero goals through biomaterials, carbon capture and new powerful; secure, which secures the country’s energy supply through coal and nuclear energy. Second, they locate policy as the most important form of wildcards. The policy is multilayered from local to US politics and falls outside the scope of forecasting.

The most important limitations of the study are: first, its reliance on scientific and technological experts, which guarantees its scientific validity but may underrepresent the social drivers of energy; second, this study is a methodological pilot of a larger study that will target industrial, commercial and local drivers; third, its focus on Australia, where politics, the size of the country and climate shape the uptake of clean energy in specific ways, most notably in the case of rapid uptake of solar energy.

The main practical implications of the paper are its broad focus on clean energy futures and its participatory foresighting approach, which can be repeated in other studies.

The main social implication of the study is that it clearly shows that a technological perspective is necessary but not sufficient in understanding the future of clean energy. The paper also shows that local drivers importantly mold the future and should be taken into account in future studies and policy.

This paper makes two contributions. First, it organizes several technologies into four scenarios that clarify Australia’s clean energy futures better than a piecemeal study would do. Second, it developed and piloted an interpretive participatory methodology for studying futures by building on references from design research. This methodology will be used in subsequent studies.

On shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these factors can influence human performance. Human reliability analysis supports such necessity through modeling the performance shaping factors (PSFs). The purpose of this paper is to establish and validate a PSF taxonomy for the STC context.

The approach taken in this study mainly consists of three steps. First, a description of the STC context is proposed through the analysis of the STC context. Second, the literature which stretch across the PSF methodologies, cognitive psychology and human factors of STC and other construction industries are reviewed to develop an initial set of PSFs. Finally, a final PSF set is modified and validated based on STC task analysis and STC accidents cases.

The PSF taxonomy constituted by 4 main components, 4 hierarchies and 85 PSFs is established for human behavior modeling and simulation under the STC context. Furthermore, by comparing and evaluating the performance of STC PSF and existing PSF studies, the proposed PSF taxonomy meets the requirement for qualitative and quantitative analysis.

The PSF taxonomy can provide a basis and support for human behavior modeling and simulation under the STC context. Integrating PSFs into a behavior simulation model provides a more realistic and integrated assessment of human error by manifesting the influence of each PSFs on the cognitive processes. The simulation results can suggest concrete points for the improvement of STC safety management.

This paper develops a taxonomy of PSFs that addresses the various unique influences of the STC context on human behaviors. The harsh underground working conditions and diverse resources of system information are identified as key characteristics of the STC context. Furthermore, the PSF taxonomy can be integrated into a human cognitive behavior model to predict the worker’s behavior on STC site in future work.