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This study seeks to understand the communication factors associated with effective social media for nonprofit organizations (NPOs). Specifically, the study investigated how interactive and emotional communication strategies influence public engagement in different ways, and how the effects differ by service-oriented and other types of NPOs.

Using computer-assisted textual and emotional analyses, the authors examined the functional interactivity, contingency interactivity and emotion elements of 301,559 tweets from the 100 largest US nonprofits. Negative binomial regression was applied to test the relationships among these elements and public engagement on Twitter (i.e. likes and retweets).

Findings revealed negative effects of functional interactivity on likes, negative effects of contingency interactivity on likes and retweets but a positive effect of functional interactivity on retweets. The findings also showed negative effects of emotion valence on likes and retweets but positive effects of emotion strength on likes and retweets. There were varying effects of interactivity and emotion on public engagement for service-oriented and other types of NPOs.

This study advances the nonprofit social media scholarship in several ways. First, this study suggests a clear yet largely ignored distinction in the effects of functional and contingency interactivity on public engagement. Second, this study is an early attempt to examine the role and impact of emotion elements in nonprofit social media success without downplaying the role of interactivity. Third, this study is one of the earliest attempts to include interaction effects for different types of NPOs. Last, this study contributes to the organizational social media use research by demonstrating the benefits of computer-assisted approaches in processing text data on social media. From a practical perspective, this study provides strategic guidelines for NPOs to design effective communication contents and improve their public engagement on social media.

We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of the AR and traditional board games on students’ SDG learning achievements.

We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of AR and traditional board games on students' SDG learning achievements.

Our analysis of the quantitative and qualitative data revealed that the effects of AR and traditional board games on the students' cognitive outcomes differed significantly, indicating the importance of providing a situated learning environment in SDG education. Moreover, the students perceived that the incorporation of the AR game into SDG learning improved their learning effectiveness – including both cognitive and affective dimensions – thus confirming its educational value and potential in SDG learning.

To the best of our knowledge, this is the first study to explore the effectiveness of different learning tools (AR and traditional board games) and to evaluate the importance of providing a situated learning environment through a true-experimental randomized control posttest design.

The purpose of this study aims to understand if there are any differences in the influence of aesthetic experience and creative self-efficacy on innovative behaviors of Thai students and Chinese international students and whether creative self-efficacy has a mediating effect between aesthetic experience and innovative behavior.

Three Thai universities with Chinese international students were selected through purposive sampling. There were 329 valid responses, consisting of responses from 170 Thai students and 159 Chinese students. The data were analyzed by employing multigroup structural equation modeling.

The analysis of the differences between the students of the two countries shows that the influence of aesthetic experience on creative self-efficacy, as well as the creative self-efficacy on innovative behavior of Chinese international students, is greater than that of Thai students, while the influence of aesthetic experience on innovative behavior of Thai students is greater than that of Chinese international students.

There are some differences between Thai and Chinese students, which could be attributed to their differing environments, cultures and prior learning experiences.

Entrepreneurs are networking with others to get advice for their businesses. The networking differs between men and women; notably, men are more often networking for advice in the public sphere and women are more often networking for advice in the private sphere. The purpose of this study is to account for how such gendering of entrepreneurs’ networks of advisors differs between societies and cultures.

Based on survey data from the Global Entrepreneurships Monitor, a sample of 16,365 entrepreneurs is used to compare the gendering of entrepreneurs’ networks in China and five countries largely located around the Persian Gulf, namely Yemen, Iran, Saudi Arabia, Qatar and the United Arab Emirates.

Analyses show that female entrepreneurs tend to have slightly larger private sphere networks than male entrepreneurs. The differences between male and female entrepreneurs’ networking in the public sphere are considerably larger. Societal differences in the relative prominence of networking in the public and private spheres, and the gendering hereof, correspond well to cultural and socio-economic societal differences. In particular, the authors found marked differences among the religiously conservative and politically autocratic Gulf states.

As a main limitation to this study, the data disclose only the gender of the entrepreneur, but not the gender of each advisor in the network around the entrepreneur. Thus, the authors cannot tell the extent to which men and women interact with each other. This limitation along with the findings of this study point to a need for further research on the extent to which genders are structurally mixed or separated as entrepreneurs network for advice in the public sphere. In addition, the large migrant populations in some Arab states raise questions of the ethnicity of entrepreneurs and advisors.

Results from this study create novel and nuanced understandings about the differences in the gendering of entrepreneurs’ networking in China and countries around Persian Gulf. Such understandings provide valuable input to the knowledge of how to better use the entrepreneurial potential from both men and women in different cultures. The sample is fairly representative of entrepreneur populations, and the results can be generalized to these countries.

The purpose of the study is to investigate and reveal this relationship of various engineering demand parameters (EDPs) of this structural type and intensity measures (IMs) under intra-plate earthquakes.

The nonlinear finite element model used was calibrated first to the existing results of the shaking table test to verify the modeling technique.

This paper investigated the relationship between intensity measures and various engineering demand parameters of cable-stayed bridges using intra-plate earthquakes. The correlation analysis and Pearson coefficient are used to study the correlation between EDPs and IMs. The results showed that peak ground velocity (PGV)/peak ground acceleration, peak ground displacement and root-mean-square of displacement showed weak correlation with IMs. PGV, sustained maximum velocity, a peak value of spectral velocity, A95 parameter, Housner intensity and spectral acceleration at the fundamental period, the spectral velocity at the fundamental period and spectral displacement at the fundamental period were determined to be better predictors for various EDPs.

This paper investigated the correlation between the intensity measures of intra-plate earthquakes with the seismic responses of a typical long-span cable-stayed bridge in China. The nonlinear finite element model used was calibrated to the existing results of the shaking table test to verify the modeling technique. In total, 104 selected ground motions were applied to the calibrated model, and the responses of various components of the bridge were obtained. This study proposed PGV as the optimal IM.

This study aims to propose a consensus model that considers dynamic trust and the hesitation degree of the expert's evaluation, and the model can provide personalized adjustment advice to inconsistent experts.

The trust degree between experts will be affected by the decision-making environment or the behavior of other experts. Therefore, based on the psychological “similarity-attraction paradigm”, an adjustment method for the trust degree between experts is proposed. In addition, we proposed a method to measure the hesitation degree of the expert's evaluation under the multi-granular probabilistic linguistic environment. Based on the hesitation degree of evaluation and trust degree, a method for determining the importance degree of experts is proposed. In the feedback mechanism, we presented a personalized adjustment mechanism that can provide the personalized adjustment advice for inconsistent experts. The personalized adjustment advice is accepted readily by inconsistent experts and ensures that the collective consensus degree will increase after the adjustment.

The results show that the consensus model in this paper can solve the social network group decision-making problem, in which the trust degree among experts is dynamic changing. An illustrative example demonstrates the feasibility of the proposed model in this paper. Simulation experiments have confirmed the effectiveness of the model in promoting consensus.

The authors presented a novel dynamic trust consensus model based on the expert's hesitation degree and a personalized adjustment mechanism under the multi-granular probabilistic linguistic environment. The model can solve a variety of social network group decision-making problems.

The paper aims to investigate the determinants of outward foreign direct investment (OFDI) by Chinese enterprises during China's institutional and economic transition, specifically from the institutional perspective.

An analytical framework was conceptualized by introducing several institutional‐based advantages peculiar to Chinese firms and a series of hypotheses developed regarding the influences of these advantages on the OFDI strategies of Chinese enterprises.

The findings confirm the specific institutional‐based advantages in terms of home government support, investor's financing capacity and host ethnic Chinese resources have salient impacts on OFDI behavior of Chinese firms, as predicted by initial hypotheses. Evidence from sub‐samples tests indicates there are varied determinant mechanisms for trade‐oriented, produce‐oriented, and other types of OFDI, respectively.

The paper offers two primary contributions. On one hand, by integrating conventional eclectic theory and Chinese institutional context, a series of novel hypotheses is proposed that highlights some specific institutional advantages Chinese outward investors could exploit. In this way, the paper provides an analytical framework useful for better understanding of internationalization of enterprises from other emerging and transitional economies.

The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This study examined critical factors affecting air freight forwarders’ decision to adopt the IATA e-freight using a technology-organization-environment model with air freight forwarders in Taiwan as the base. Our findings show that ‘information technology (IT) competence’, ‘trading partner pressure’, ‘government policy’ and ‘competitive pressure’ all have significant positive effects on air freight forwarders’ decision to adopt the e-freight and the top three factors among these are ‘government funding’, ‘government’s active promotion’ and ‘government’s requirement of electronic air waybill (e-AWB)’. Finally, this study proposes strategies that can encourage air freight forwarders to decide on e-freight adoption for the information of relevant oK regyawniozradtison International Air Transport Association (IATA); IATA e-freight; Technology organization environment model; Air freight forwarder

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

The purpose of this study was to examine overall customer satisfaction associated with medical service quality in Taiwan by integrated Kano’s model and customer satisfaction index model. Another purpose was to confirmed nonlinear and asymmetric relationship of Customer Satisfaction and Quality Performance by the research outcome. By analyzing 1,100 patients or their family members, this study used the structural equation model (SEM) with AMOS software for data analysis. The results show that must‐be attributes, one‐dimensional attributes and attractive attributes had a direct effect on overall customer satisfaction, Surprisingly, overall customer satisfaction had positively influenced customer loyalty customer satisfaction had negatively influenced customer complaints. The study also found that customer complaints have direct effect on customer loyalty. Importantly, the study found out the must‐be attributes, the attractive attributes and one‐dimensional attributes increased, the level of overall customer satisfaction also increased. The customer satisfaction positively influences customer loyalty in medical service quality in Taiwan. The findings might reveal new insights for researchers dealing with quality of medical service and for hospital managers who devote resources exclusively to achieving highest possible levels of patient satisfaction.