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The purpose of this paper is to investigate how information technology (IT) firms are different from non-IT firms in terms of corporate social responsibility and financial variables for attracting and retaining employees.

Through logit regression models, the authors used corporate social responsibility and financial variables to examine the differences between 512 Fortune’s Best Companies to Work For and a random sample of 512 Non-Best Companies peer firms.

The analysis results show that IT firms are stronger in terms of research and development spending, return on assets, Tobin’s q and leverage conditions, as well as employee relations and environmental performance in corporate social responsibility. Moreover, for IT firms, innovativeness (characterized by high research and development expenditures) is by far the strongest predictor of whether a company is selected to be on the Best Companies to Work For list.

This research demonstrated a hybrid, multifaceted research design using different analysis tools to explore new factors of a research topic. The results confirm the associations among variables, which may not represent causal relationships.

The results shed light on the relationship between corporate social responsibility/finance and IT employee turnover, which provides another dimension for management’s consideration beyond the classic psychometric/fringe benefit analysis for examining employee turnover.

IT firms’ superior ability to attract and retain employees using their innovativeness may impact the general public’s career planning and training decisions.

This research project integrated data from four different sources and investigated the IT employee turnover issue from the organizational level rather than the individual employee level.

This paper seeks to report on six Symposia offered at the 2011 Annual Meeting of the American Association for the Advancement of Science (AAAS), held 17‐21 February 2011 in Washington, DC. This 177th Meeting's theme was “Science without Borders.”

The report for each symposium includes internet links and bibliographic citations leading to information that further supports and enriches the information provided in the speakers' presentations.

An enhanced report was presented for each presentation for each symposium.

Several symposia, relating to: global collaboration; the digitization of science; publications without borders; and, teaching, learning, and research in the digital age, are covered in this report. The paper provides a documented insight on the most recent advances in research described by each symposium's presenter.

The purpose of this paper is to capture the dynamic variations in sales of a product based upon the dynamic estimation of the time series data and propose a model that imitates the price discounting and promotion strategy for a product category in a retail organization. A modest attempt has been made in the study to capture the relationship between the sales promotion, price discount and the batch procurement strategy of a particular product category to maximize sales volume and profitability.

Time series data relating to sales have been used to model the sales estimates using moving average and proportional and derivative control; thereafter a sales forecast is generated to estimate the sales of a particular product category. This provides valuable inputs for taking lot sizing decisions regarding procurement of the products that considerably impact the sales promotion and intelligent pricing decisions. A conceptual framework is developed for modeling the dynamic price discounting strategy in retail using fuzzy logic.

The model captures the lag effect of sales promotion and price discounting strategy; other strategies have been formulated based upon the sales forecast that was done for taking the lot sizing decisions regarding procurement of products in the selected category. This has helped minimize the inventory cost thereby keeping the profitability of the retail organization intact.

There is no appropriate empirical data to verify the models. In light of the research approach (modeling based upon historical time series data of a particular product category) that was undertaken, there is a possibility that the research results may be valid for the product category that was selected. Therefore, the researchers are advised to test the proposed propositions further for other product categories.

The study provides valuable insight on how to use the real-time sales data for designing a dynamic automated model for product sales promotion and price discounting strategy using fuzzy logic for a retail organization.

The purpose of this paper is to capture the dynamic variations in sales of a product based upon the dynamic estimation of the time series data and propose a model that imitates the price discounting and promotion strategy for a product category in a retail organization.

Time series data relating to sales has been used to model the sales estimates using moving average and proportional and derivative control; thereafter a sales forecast is generated to estimate the sales of a particular product category. This provides valuable inputs for taking lot sizing decisions regarding procurement of the products and selection of suppliers. A hybrid model has been proposed and explained with a hypothetical case, which considerably impacts the sales promotion and intelligent pricing decisions.

A conceptual framework is developed for modeling the dynamic price discounting strategy in retail using fuzzy logic. The model imitates sales promotion and price discounting strategy. This has helped minimize the inventory cost thereby keeping the profitability of the retail organization intact.

There is no appropriate empirical data to verify the models. In light of the research approach (modeling based upon historical time series data of a particular product category) that was undertaken, there is a possibility that the research results may be valid for the product category that was selected. Therefore, the researchers are advised to test the proposed propositions further for other product categories.

The study provides valuable insight on how to use the real-time sales data for designing a dynamic automated model for product sales promotion and price discounting strategy using fuzzy logic for a retail organization.

This paper aims to investigate how overconfidence bias affects financial market participants’ forecast accuracy based on the hard–easy effect concept of overconfidence research.

The authors adopt an experimental method for behavioural finance studies. In the experiment, the authors measure and capture participants’ forecast accuracy as well as their individual confidence level. In particular, participants make incentive-compatible forecasts, that is, the elicited forecast determines the participants’ financial rewards in real monetary gain/loss.

The results show that the hard–easy effect causes optimistic forecasts for hard-to-predict stocks, indicating that overconfident investors tend to make over-optimistic and less accurate price forecasts when making judgements on hard tasks. Consistent with the literature, the authors find evidence of a negative relationship between forecast accuracy and confidence level. The results also indicate that the overall relationship between overconfidence and forecast accuracy is driven by the price forecasts made for hard-to-predict stocks.

As per the authors’ knowledge, this paper is one of the first studies that provides empirical evidence directly showing the hard–easy effect in the relation between overconfidence and forecast ability in an experimental setting. This study uses an experimental design that specifically measures the hard–easy effect in a stock market scenario using professional financial information and real monetary incentives, which have not been used in any previous studies of the hard–easy effect.

The purpose of this study is to examine the attitudes toward business ethics of Vietnamese business students based on gender and the experience of having taken a business ethics course.

A quantitative self-administered survey was conducted with a convenience sample of Vietnamese business students at a banking university in Ho Chi Minh City, Vietnam. This study used the 30-item Attitudes Toward Business Ethics Questionnaire (ATBEQ) constructed by Neumann and Reichel (1987) based on the work of Stevens (1979). The Vietnamese version questionnaire was distributed, and 282 surveys were used for analysis. An item-by-item analysis was conducted based on gender and the experience of having taken a business ethics course.

Significant differences were found on seven items based on gender and four items based on the experience of having taken a business ethics course. However, respondents appeared to have similar attitudes on the majority of the items.

Perhaps the greatest limitation of this study is the relatively uneven distribution of the respondents in the sample. The sample is skewed slightly toward women who are a bit older, fourth year or post-graduate and those who have not taken a business ethics course. In addition convenience sampling technique reduced its generalizability. This study is important because it supports the idea of ethics education to improve ethical decision-making of future business leaders and that education has an effect in Vietnam.

As business students are the main subjects of this research, it can be useful for those involved in development of management and business education in Vietnam to have an overview on how gender impacts business students’ ethics perception. For the executives of multinational corporations, this study provides important information and adds support to a decision to do business in Vietnam.

Although there may be a perception of a less than ethical climate in Vietnam based on its Corruption Perception Index scores, it appears that Vietnamese business students in general express an ethical viewpoint. This study emphasizes the importance of ethics education that is culture-specific to build a strong ethical business environment that can help Vietnam prevent bribery and corruption and achieve sustainable growth and prosperity.

This study contributes to the attitudes toward business ethics research and sheds light on the impact of gender and education (business ethics course) on Vietnamese business students’ ethical attitudes. There has been little research on business ethics in Vietnam. Academicians, managers, practitioners, policymakers, government leaders and the like can benefit from the findings of this paper.

Provides a review of the position of women in management in a number of countries. Describes how in almost all countries, management positions are dominated by men. Concludes that, although many similarities were found in women’s work experience across cultures, cultural factors accounted for the unique experiences of women in a given country.

This study aims to analyze online responses to gain insights into public attitudes and concerns regarding traditional Chinese medicine (TCM) among Hong Kong residents. By addressing gaps in understanding public sentiment, this study contributes to the development of effective health-care policies.

Responses were collected from Baby-Kingdom.com using Python, gathering 17,568 TCM-related comments from 2016 to 2023. Analysis involved an eight-theme codebook and sentiment and semantic network analyses with DiVoMiner.

Most responses expressed positive sentiments and attitudes toward TCM. The analysis revealed recurring topics related to conditioning and specific diseases, including gynecological problems. Clinic service quality, fair pricing and convenient locations were also highlighted.

This study examines the networked public sphere and the Theory of Planned Behavior regarding TCM, emphasizing online forums’ impact on attitudes and highlighting gaps in service access, using big data and an interdisciplinary approach.

The findings of this study from Baby-Kingdom.com emphasize the need to improve the accessibility of TCM-related discussions. An official platform for professionals is proposed, with government support for reliable information and partnerships with local universities to expand services.

This study provides valuable insights into the popularity of TCM in Hong Kong, which may encourage uptake and use of TCM services in the health-care sector in not only Hong Kong but also the Greater Bay Area, China and potentially other countries in the future.

The purpose of this paper is to study the antecedents of the adjustment of expatriate children to foreign destinations. This process of adjustment is partly explained by the transformation of their identities while abroad.

This research used a mixed method approach. First, to identify the factors that affect expatriate children’s adjustment, 36 interviews were conducted. An ad hoc survey was then developed, distributed and analyzed, in order to determine the factors that really help or inhibit the adjustment of expatriate children.

Expatriate children adapt quite well, and they are mostly interested in fitting in with other children, whether locals or other internationals. Some relevant factors found to relate to adjustment were children’s social skills, their academic self-efficacy, the academic level of the school in the host country and the support received from their families.

Companies could use the results of this study in their cross-cultural training of expatriates traveling with families.

This is the first study to examine a rather comprehensive set of factors that affect the adjustment of expatriate children, using a mixed methods approach.

There are over 300,000 male migrant workers in Singapore. Around 600 major workplace injuries are reported in Singapore each year, mainly in the manufacturing and construction injuries. Migrant workers who are affected by workplace injuries often face many challenges, including not being able to work and thus may be repatriated to their home countries, which affects their financial status and that of their families, whom they support. This research aims to explore the knowledge, attitudes and beliefs of injured migrant workers in Singapore, towards disability and vocational rehabilitation.

Fifteen male migrant workers, from Bangladesh, China and India, who had acquired disabling injuries in their workplaces in Singapore, were identified through purposive sampling. They were interviewed by a male interviewer, either in Mandarin Chinese or with the assistance of interpreters for Bengali-English and Tamil-English. Interviews were recorded, transcribed, translated to English, then analysed thematically.

The interviewees generally had a pessimistic outlook on their disability, which often impacted negatively on their self-worth and familial relationships. Many of them also had little knowledge of vocational rehabilitation and had not yet seriously considered future job prospects.

To the best of the authors’ knowledge, there are no similar studies exploring the knowledge, attitudes and beliefs of injured migrant workers in Singapore towards disability and vocational rehabilitation.