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In Massive Open Online Courses (MOOCs), learners can post both text comments and overall ratings regarding the courses. There is growing interest in assessing the consistency of online reviews and the determinants of learner satisfaction. This study analyses the disconfirmation effect between textual review topics and the determinants of learner satisfaction in MOOCs. The MOOCs are categorised under three disciplines - Social Science, Technical Science, and Humanities & Natural Science. A crawler was employed to collect the corpus, extracting 93,679 reviews of 5,214 online courses from a Chinese university MOOC platform (icourse163.org). Textual analytics was used in the topic extraction. The empirical results suggest a strong disconfirmation effect between textual reviews and the determinants of learner satisfaction, i.e., not all textual review topics affect the overall learner satisfaction. Compared with positive reviews, negative (and neutral) reviews have a stronger disconfirmation effect. Further, the antecedents of learner attention are course-discipline specific. The disconfirmation effect is course-discipline dependent, with the most prominent for Technical Science courses, and the least for Humanities & Natural Science courses. This study provides a framework to guide platform managers and course instructors in better course delivery and enhancing overall learner satisfaction.

Learners engaged in large-scale online learning often pose questions in which their peers or instructors can answer using various means of textual interaction topics. This paper assesses the effects of the text interaction strategies in online learning through the lens of the language expectancy theory at three levels: whether to respond to the questions, the identity of the respondents, and the textual interaction topics. Using 112,680 learning records of 610 courses from 71,948 learners crawled from the online learning programming platform iMOOC as the corpus, text mining is used to identify the interaction strategies. Using grounded theory, the textual interaction topics are divided into 2 groups (providing solutions, and encouragement & evaluation for the learners), and sub-divided into 6 topic clusters ("code writing," "operation guidance," "providing references," "encouragement," "normative interpretation," and "opinion exchange"). The responses are classified by text mining. The results of the econometric model suggest that responding to the questions online fosters learning and reduces the dropout rate. The online learner benefits more from peer learning than from the instructors. On the text interaction topics, the topic "providing solutions" is more effective in reducing the learner's dropout rate than the topic "encouragement & evaluation". Further, "code writing" is more effective over "providing references," "encouragement," and "normative interpretation." This study enriches our understanding of the interaction strategies between learners and instructors in iMOOC, and provides a reference for improving the online learning journey and retain learners.

This study analyzed the influence of rhetoric in the endorsement text on the willingness of the crowd to participate in citizen science projects. Four categories of endorsers were studied: professors, students, industrial researchers, and amateur researchers. Using 1243 endorsement texts from 543 citizen science projects as the corpus, the effects of the standalone techniques (ethos, pathos, and logos) and mixed-rhetoric techniques of persuasion were examined empirically. The results informed that pathos and logos had significant advantages over ethos. Taking a mixed-rhetoric approach to the endorsement text with a mix of pathos (55%) and logos (45%) maximized the appeal of citizen science projects, and the influence of this approach had an inverted U-shaped effect. On the identity of the endorsers, the professors, students, and amateur researchers shared a similar rhetorical approach, while the industrial researchers shared another. However, from the influence of endorsement rhetorical strategies, the impact of amateur researchers was consistent with that of the industrial researchers (both pathos and logos were positive); and professors (only logos was positive) and students (only pathos was positive) reveal some differences. Finally, endorsement rhetoric strategies exerted a greater influence on the humanities and social science projects than on the natural science projects.

Purpose: This paper explores the mechanism of organizational Pao culture in an Oriental cultural context and its impact on CSR implementation and outcomes. Design/methodology/approach: Three short cases are presented to reveal how the traditional Chinese Pao culture influences CSR implementation and outcomes in Chinese firms. Findings: The findings suggest that the traditional Chinese Pao culture is the driver behind the value orientation of the norms of passing on favors and doing good deeds will be rewarded. Knowing this can help leaders in such organizations to incentivize member participation in building organizational Pao culture. Practical implications: Through the collaborative construction of the core of Pao culture and external evaluation standards of corporate social responsibility, enterprises can thus achieve the dual goals of self-development and social benefits. Social implications: Enterprises and managers can be encouraged to draw management wisdom from the essence of cultural norms, so as to achieve the goal of realizing the interests of all CSR participants. Originality/value: This paper emphasizes the dynamics and outcomes of CSR implementation in the context of the traditional Chinese Pao culture and expands the boundary of CSR research beyond a Western cultural setting. [ABSTRACT FROM AUTHOR]

In recent years, the tourism industry has expanded rapidly and China will enter the mass tourism era comprehensively, with tourism becoming an important leisure lifestyle for people. However, natural disasters have the characteristics of high frequency, multiple types, wide distribution and large post-disaster losses, which often cause huge impact on tourism industry development. It is of great practical significance to explore the key factors for successful rescue of tourists after disasters. Taking the Wenchuan earthquake as an example, the article selects the Fuzzy Delphi Method and the Analytical Hierarchy Process as the data analysis method, and also randomly selects the local residents of 20 affected scenic spots as the research subjects. The results show that among the assessment dimensions, the most important dimension is prevention, followed by preparedness, response and recovery respectively. Meanwhile, among the 16 assessment indicators, the top five most valued indicators were regional emergency planning, management systems, prompt notification, publicity and education, training and emergency drill in order. Plain Language Summary: In recent years, the tourism industry has expanded rapidly and China will enter the mass tourism era comprehensively, with tourism becoming an important leisure lifestyle for people. This article selects the Fuzzy Delphi Method and the Analytical Hierarchy Process as the data analysis method, and also randomly selects the local resi-dents of 20 affected scenic spots as the research subjects. The results show that among the assessment dimensions, the most important dimension is prevention, followed by preparedness, response and re-covery respectively. Meanwhile, among the 16 assessment indicators, the top five most valued indi-cators were regional emergency planning, management systems, prompt notification, publicity and education, training and emergency drill in order. [ABSTRACT FROM AUTHOR]