Why do generation X customers use wearable fitness technology equipment after recovering from coronavirus? The role of perceived health risks.

The health sector has prioritized the physical health of vulnerable Generation X individuals at high Coronavirus risk. Despite vaccination efforts, both infected and healthy people continue facing health threats. Unlike other industries devastated by COVID-19, wearable fitness technology equipment (WFTE) is essential for health-focused individuals.

Dataset of concerns for privacy information practices and consumer behavior in online market: A survey in Vietnam.

This dataset presents survey results on concerns for consumer privacy information practises in business, online trust; and purchase intention in the online marketplace in Vietnam. The raw data was collected an online questionnaire of 467 respondents aged 18 and over recruited randomly. The survey included questions on demographic attributes as well as ratings and rankings for various statements related to privacy information concerns, such as Collection, Unauthorized secondary use (internal), Improper Access, Error; consumer online trust; and purchase intention when shopping online.

Knowledge-intensive teamwork development through social media adoption after the COVID-19 pandemic in higher education institutions.

Although knowledge drives organizational growth, limited teamwork skills have hindered effective knowledge sharing and utilization across departments and individuals in higher education institutions (HEIs). Thus, this paper develops a pertinent knowledge-intensive teamworking model for HEIs. Educational background, leadership, and social media adoption were independent variables, while knowledge acquisition, development, application, revision, and knowledge-intensive teamwork were dependent variables.

The effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam.

Knowledge management in higher education aims to increase the effectiveness of knowledge and intellectual capital by accomplishing three main goals: increasing task quality and efficiency, training human resources at all levels of operation, and expanding an organization's field knowledge base. This data's purpose was to shed light on how knowledge management influences the enthusiasm of university professors and their sense of job satisfaction. Knowledge acquisition, knowledge dissemination, and utilization are the three pillars of knowledge management systems that contribute to higher levels of academic staff's teaching motivation and satisfaction.

Dataset for the electronic customer relationship management based on S-O-R model in electronic commerce.

Customer loyalty is difficult to establish because of the danger of online transactions, which causes risk in all transaction procedures. The dataset presents the survey data including three factors as electronic loyalty, perceived mental benefits, hedonic value. The quantitative data is based on 485 participants who bought from e-commerce websites.

Is It Possible to Earn Abnormal Return in an Inefficient Market? An Approach Based on Machine Learning in Stock Trading.

Risk management and stock investment decision-making is an essential topic for investors and fund managers, especially in the context of the COVID-19 pandemic. The problem becomes easier if the market is efficient, where stock prices fully reflect potential risk. Nevertheless, if the market is not efficient, investors may have an opportunity to find an effective investment method.