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This chapter focuses on the question: What is Humanism? The chapter discusses definitions of Humanism. It synthesises such definitions in order to provide a philosophical understanding of Humanism. This understanding has epistemological, ontological and axiological dimensions. The chapter points out that Humanism is transcultural. Common objections to Humanism are discussed by engaging with the works of the historian Yuval Noah Harari. Based on the general understanding of Humanism, the approach of Radical Humanism is introduced. Radical Humanism is a particular form of Humanism. Its epistemological, ontological and axiological aspects are outlined. The chapter discusses four examples approaches of Radical Humanism (Karl Marx, Erich Fromm, Wang Ruoshui, David Harvey).

With the increasing popularity of live streaming, the exploration of online behaviors on live streaming platforms has become a research hot spot in academia. However, the literature lacks cross-cultural investigations into live streaming addictive (LSA) behaviors among viewers. To address this gap, based on stimulus-organism-response (SOR) theory and motivation theory, this study investigates how information seeking, sensation seeking and community commitment (stimulus) affect hedonic and utilitarian motivation (organism), which in turn influence viewers’ LSA behaviors (response). This study also compares American and Chinese viewers to understand how LSA behaviors differ across national cultures.

We surveyed live stream viewers in both nations, collecting 758 valid samples including 377 Chinese respondents and 381 American respondents for use with the research model. A partial least squares (PLS) approach is employed for data analysis.

The results show that information seeking increases utilitarian motivation, sensation seeking increases hedonic motivation, and community commitment strengthens both hedonic and utilitarian motivation. Both hedonic motivation and utilitarian motivation positively affect LSA behaviors. In addition, based on cross-cultural analysis, we found that there was a significant mediating path common to the respondents in China and the USA (i.e. sensation seeking ? Hedonic motivation ? LSA).

The findings of this study make theoretical contributions to live streaming research and offer practical guidance for live streaming firms to formulate proper marketing strategies. Last, this study outlines several limitations and possible directions for future research.

This paper aims to report the results of an investigation into the effect of aggregate and individual corporate governance factors on the financial performance of state-owned enterprises (SOEs) in Kenya.

The paper uses balanced panel data regression analysis on a sample of 45 SOEs in Kenya for a four-year period (2015–2018).

The panel data analysis results show that board meetings, board skill and gender diversity individual provisions of corporate governance are significantly and positively associated with capital budget realization ratio (CBRR). Moreover, the study finds that aggregate corporate governance disclosure index, board sub-committees, board size and independent non-executive directors are positive but insignificantly related to CBRR.

The current study is based on secondary data, other methods of knowledge inquiry such as interviews and questionnaires may provide additional insights on the effectiveness of corporate governance on financial performance.

Overall, the results imply that corporate governance influences the performance of SOEs in Kenya. The results suggest that Mwongozo Code of Corporate Governance provisions should be changed to increase the number of women representations on board and the number of directors with doctoral qualifications because of their positive impact on the financial performance of SOEs in Kenya. Also, policymakers with remit over SOEs should re-evaluate why other corporate governance appear not to have an impact with a view of making the necessary changes.

The paper contributes to the dearth of literature on the efficacy of corporate governance on the financial performance of SOEs in developing countries.

Both the SEC (Securities and Exchange Commission) and the popular press have routinely criticized firms for the complexity of their financial disclosures. This study aims to investigate how financial analysts respond to the tone complexity of firm disclosures.

Using approximately 20,000 earnings conference call transcripts of S&P 1,500 firms between 2005 and 2015, the authors first calculate the abnormal negative tone, the measure of tone complexity; then use such tone measure in econometric models to examine analyst forecast behavior. The authors also test the robustness of the results under different model specifications, tone word lists and alternative tone measure calculations.

Consistent with the notion that analysts respond to the information demand from investors and incur more costs and effort to analyze firm disclosure when the tone is more complex, the authors find that higher tone complexity is positively and significantly associated with more analyst following, longer report duration, more forecast revisions, larger forecast error and larger forecast dispersion. In addition, the authors find that tone complexity has a long-term impact on analyst following but has a limited long-term impact on analyst report duration, analyst revision, forecast error and dispersion.

This study complements existing literature by highlighting the information role of financial analysts and by providing evidence that analysts incorporate the management tone disclosed during conference calls to adjust their forecasting behaviors. The results can be used by policymakers as evidence and support for further improving firm communication from a new dimension of disclosure tone.

The purpose of this paper is to examine the impacts of companies’ voluntary adoption of the General Data Protection Regulation (GDPR) as well as the readability of privacy statements on US customers’ intention to disclose information and their trust in a company.

Building on the construal level theory and psychological distance, the authors conduct a 2 × 2 + 2 between-participants experiment with 255 participants.

The findings show that a company’s voluntary adoption of the GDPR has positive effects on customers’ intention to disclose information to and their trust in that company. In addition, the effects of GDPR adoption are stronger when the adopting company’s privacy statements possess a higher level of readability.

The authors believe this study poses policy implications for the outcomes of GDPR adoption and the recent debate on both a stricter data breach and privacy regulation.

The purpose of this paper is to examine how learning experiences are shaped for Arab Muslim women students by the different educational approaches (teaching style, relations with lecturers and types of knowledge) and extent of cultural pluralism in three different higher education (HE) campuses in Israel.

To clarify these issues the authors conducted narrative interviews with 12 Arab Muslim women students in the Hebrew University and in two academic colleges. Significant differences were found in the women's experiences between the university and the two academic colleges.

Arab women had difficulty integrating in the university in contrast to a supportive more familiar environment in the colleges. The different environments also had different implications for the women's identity formation. The findings indicate that since Arab women students have specific needs stemming from their different socio-cultural background, they should be assisted in their integration in academic courses with preparatory instruction and guidance.

Implications for minority students in different HE campuses are discussed.

In order for the aerospace industry to achieve success in export markets through the provision of high levels of product choice, it will need to develop and economically use many new materials and manufacturing processes. Examines how the constraints imposed by changing market trends affect the identification of “cost estimating relationships” and investigates their relative benefits and limitations in terms of their effects on the overall cost model development process. A method of establishing cost estimating relationships that appears to offer benefits to the cost modelling process is that of artificial neural networks (ANNs). Using the Taguchi method, a series of experiments have been undertaken to select an appropriate network for the “turning process”. The estimation accuracy and robustness of cost models developed using suitable ANN structures have then been examined under varying conditions in order to identify guidelines.

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.