Applying the counseling-learning approach to a tourism-related massive open online course

ABSTRACT

This study discusses how to apply counseling-learning (CL) principles to a particular e-learning solution for teaching a tourism-related subject via a massive open online course (MOOC). Several effective caring patterns in achieving learning-related goals and being part of a community according to the CL principles are presented and discussed using the MOOC “eTourism: Communication Perspectives” as a case study. The study underlines how the MOOC platform can act as a place for contents enjoinment and active learning. Moreover, the active role of social media for increasing the engagement of learners in the proposed activities and for developing a sense of the community is identified. In particular, Facebook and Twitter can act as places for community building and informal social interactions among learners that last beyond the completion of the course, which in turn can be a valid aid for continuing the relationships among instructors/learners and learners/learners, and for reaching new ones.     

From the Nation-State to a World Society: An Institutional Reading of Globalization

This article highlights the inadequacy of classical and neoclassical theories for understanding the set of changes experienced by economic systems in their process of development. The institutional dimension concerning the issue of well-defined rules (through the introduction of economic policies) and involving all stakeholders in the regulatory process (starting from the firm), seems to better interpret micro- and macro-economic aspects of the evolving capitalist model. This means questioning the complicated economic governance and society in the transition from the nation-state to a world society (or world state).     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Value relevance of multinational directorship and cross-listing on MNEs national governance disclosure practices in Sub-Saharan Africa: Evidence from Nigeria

We draw on institutional isomorphism literature to develop a conceptual framework which uncovers how emerging market MNEs manage institutional tensions and complexity in corporate governance (CG) regulations within and across economic environments. Using a sample of 400 firm-year observations (2011–2015) from Nigeria, we show foreign directorship and cross-listing as significant avenues for governance isomorphism. MNEs employ these mechanisms to manage and reconcile foreign and Nigerian CG regulations whilst overcoming institutional weaknesses at home. Specifically, governance isomorphism leads to improvement of home country CG disclosures practices because of associated linkages with international CG systems through cross-listing and employment of multinational directors.     

Does gender matter? The association between gender and the use of management control systems and performance measures

Literature shows that female (male) managers are more likely to adopt a transformational (transactional) leadership style, as well as make greater (lesser) use of information for decision-making. We draw on this research to investigate whether gender is related to a manager's use of management control systems (MCS) and performance measures. We surveyed the head of school of all schools across all Australian public universities. Our results indicate that females use MCS in an interactive manner to a greater extent than their male counterparts and make greater use of non-financial performance measures. We conclude with contributions to theory and practice.     

Asset pricing and energy consumption risk

This paper proposes energy consumption in the US as a new measure for the consumption capital asset pricing model. We find that (i) industrial energy growth produces reasonable values for the relative risk aversion coefficient and the implied risk-free rate; (ii) compared to alternative consumption measures, industrial energy performs well in explaining the cross-sectional variation in stock returns with the lowest implied risk aversion and pricing errors; (iii) the industrial energy consumption risk model performs equally well as the Fama–French three-factor model in the cross-sectional asset pricing tests; and (iv) total energy consumption risk is priced in the presence of the Fama–French factor risks.     

The impact of shareholders and creditors rights on IPO performance: An international study

This paper examines the impact of cross-country variation in shareholders' and debt holders' rights on post-IPO performance and survival of newly listed stocks across the globe. Using a sample of 10,490 initial public offerings (IPOs) in 40 countries between 2000 and 2013, we find that post-IPO performance and survival is better in countries with stronger shareholder protection, but the impact of creditor protection is negative i.e. stronger creditor protection leads to poor post-IPO performance and survival. This effect is driven by rules requiring creditors’ consent for company reorganization and the mandatory replacement of incumbent managers. Reputable IPO advisors exacerbate the positive impact of shareholder rights and the negative impact of creditor rights.     

辣木树不同部位γ-氨基丁酸的HPLC分析

用高效液相色谱法检测了辣木树不同部位γ-氨基丁酸的含量,结果表明:每100 g样品中,辣木果实、叶、果皮、花、根、籽及茎中的GABA含量分别为378.39、275.64、194.15、96.42、69.14、27.32 mg与0.00 mg。由此可见,辣木树中富含GABA,且幼嫩部位含量较高,本研究可为辣木产品的质量评价、开发利用以及辣木树中GABA的合成部位与运输情况研究提供理论参考。     

消费者需求受食品质量与安全影响的讨论分析

近年来,国内经济发展迅速,人们生活水平也得到很大提升,使得人们越来越重视安全,而食品是人们生活中的基本物质保障,是人们生活的必需品,所以食品的质量与安全问题是当下最热门的话题之一。当前消费者的需求会受食品质量与安全的影响,频发的食品质量与安全问题让人们愈发重视食品质量与安全,消费者的需求渐渐发生变化。基于此,本文展开了关于食品质量与安全对消费者需求的影响的研究。