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The purpose of this paper is to explore how the shoppers’ social value perception affects their purchase intention in online shopping context through its distinct role and relationships with other value dimensions. The moderating effect of the characteristics of other members on the relationship among value dimensions and the difference of value perception between experienced and inexperienced members were also tested to identify the boundary conditions of the proposed model.

The survey included 272 consumers from a well-known social shopping website in China to test the hypotheses.

The results indicate that hedonic and utilitarian value fully mediate the relationship between social value and purchase intention. Perceived expertise positively moderates the relationship between social value and the other two values. In particular, the results found that while inexperienced members can acquire both higher utilitarian and hedonic value from social value and their purchase intention relies more on the hedonic value, experienced members place greater emphasis on the utilitarian value.

The results may help vendors regain confidence in the social shopping business mode and offer specific policy implications on how to leverage shoppers’ social value perception to generate their purchase intention in a social shopping context.

This study focuses on the legitimacy of the independent role of social value and sheds light on the relationships among social value and other value dimensions based on social capital theory, which was under-explored by previous studies. Besides, this study clarifies the moderating role of experience, which highlights the previously unnoticed changing role of consumers’ value perception.

The purpose of this paper is to propose a moderated mediation model involving core self-evaluations (CSE), perceived organizational support (POS) and work-related well-being in terms of job burnout and job satisfaction. Drawing on conservation of resources theory, the authors examine the mediating effect of job burnout on the relationship between CSE and job satisfaction, while also investigating the moderating role of POS on the above effect.

Survey data were collected from a sample of 396 full-time employees from four restaurant and food service companies in Taiwan. Hierarchical regression analyses were conducted to test the hypotheses.

The results show that job burnout partially mediates the relationship between CSE and job satisfaction. Moreover, the results indicate that POS moderates the negative relationship between CSE and job burnout, as well as the mediated relationship between CSE and job satisfaction via job burnout. Specifically, both the CSE-job burnout relationship and the CSE-job burnout-job satisfaction relationship become stronger for employees with high POS than for those with low POS.

The results highlight the importance of raising employees’ POS by creating a supportive work environment in organizations, because it can serve as an important job resource that complements the impact of employees’ CSE on their work-related well-being.

This study contributes to the literature by suggesting that work-related well-being should be viewed as the results of interplay between personal characteristics and perceptions of the work environment, highlighting the importance of the person-environment interaction in explaining employees’ work-related well-being.

Employee silence is pervasive in the workplace and can be severely detrimental to employees' job satisfaction. However, research on why and when employee silence undermines job satisfaction remains poorly understood. Drawing upon conservation of resources theory, the authors proposed and tested a moderated mediation model wherein employee silence predicted job satisfaction through vigor, with positive affectivity acting as a dispositional moderator.

Two-wave time-lagged data were collected from a sample of 183 employees in Taiwan. A moderated mediation analysis with latent variables was conducted to test the hypotheses.

Results indicated that employees' vigor mediated the negative relationship between employee silence and job satisfaction only for employees with low positive affectivity.

By identifying vigor as a psychological mechanism explaining the negative effect of silence on job satisfaction and positive affectivity as a buffer against the detrimental effect of silence on vigor and, indirectly, job satisfaction, the results provide a more nuanced understanding of why and when silent employees are less satisfied with their jobs.

While blended learning has been proved to be successful in learning outcomes, the landscape of blended learning has changed under coronavirus disease (COVID-19) pandemic. Hence, the present study aims to explore first-year university students' perceptions of wholly blended learning during the pandemic, through the three constructs in the community of inquiry (CoI) instrument, namely teaching, social and cognitive presences (CPs).

Survey data (N = 449) were collected from the 2020 Fall Cohort in Hong Kong for quantitative analysis. Reliability and validity of the CoI model is examined, followed by correlation and independent-samples t-tests.

First-year students perceived overall low teaching, social and CPs with social presence (SP) scoring the highest. Findings also indicated that teaching presence (TP) significantly determined CP and SP; SP was a mediating variable in CoI. Students' gender and prior learning experience (online/blended) were not associated with perceptions of presences.

Students today are more familiar with technology-based communication, and staying up to date in educational technology is crucial for teachers. Trainings in online teaching should be provided to teachers. Also, interactive technology should focus on improving peer interaction.

The proposed study is novel in that it used the CoI model among first-year students in Hong Kong during the pandemic. Findings are valuable to higher education in understanding students' perception of bended learning and in addressing issues.

The purpose of this paper is to evaluate the forecasting performance of grey prediction models on educational attainment vis-à-vis that of exponential smoothing combined with multiple linear regression employed by the National Center for Education Statistics (NCES).

An out-of-sample forecasting experiment was carried out to compare the forecasting performances on educational attainments among GM(1,1), GM(1,1) rolling, FGM(1,1) derived from the grey system theory and exponential smoothing prediction combined with multivariate regression. The predictive power of each model was measured based on MAD, MAPE, RMSE and simple F-test of equal variance.

The forecasting efficiency evaluated by MAD, MAPE, RMSE and simple F-test of equal variance revealed that the GM(1,1) rolling model displays promise for use in forecasting educational attainment.

Since the possible inadequacy of MAD, MAPE, RMSE and F-type test of equal variance was documented in the literature, further large-scale forecasting comparison studies may be done to test the prediction powers of grey prediction and its competing out-of-sample forecasts by other alternative measures of accuracy.

The findings of this study would be useful for NCES and professional forecasters who are expected to provide government authorities and education policy makers with accurate information for planning future policy directions and optimizing decision-making.

As a continuing effort to evaluate the forecasting efficiency of grey prediction models, the present study provided accumulated evidence for the predictive power of grey prediction on short-term forecasts of educational statistics.

This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot teleoperation.

The proposed natural teaching paradigm is used to telemanipulate a life-size humanoid robot in response to a complicated working scenario. First, a vision sensor is used to project mission scenes onto virtual reality glasses for human-in-the-loop reactions. Second, motion capture system is established to retarget eye-body synergic movements to a skeletal model. Third, real-time data transfer is realized through publish-subscribe messaging mechanism in robot operating system. Next, joint angles are computed through a fast mapping algorithm and sent to a slave controller through a serial port. Finally, visualization terminals render it convenient to make comparisons between two motion systems.

Experimentation in various industrial mission scenes, such as approaching flanges, shows the numerous advantages brought by natural teaching, including being real-time, high accuracy, repeatability and dexterity.

The proposed paradigm realizes the natural cross-modal combination of perception information and enhances the working capacity and flexibility of industrial robots, paving a new way for effective robot teaching and autonomous learning.

As the metaverse gains popularity, libraries have the potential to play a vital role in this virtual world. However, digital librarians and digital age library users need to develop metaliteracy skills to effectively navigate and evaluate digital information in the metaverse. The main purpose of this paper is to explore the link between libraries and the metaverse, define metaliteracy and highlight its importance for librarians and library users. The challenges of developing metaliteracy skills in the metaverse are discussed, as well as the need for ongoing training and support. This paper also explores the role of libraries and librarians in the metaverse and provides recommendations for enhancing metaliteracy skills.

Through a review of the literature, this paper analyzes various library websites and consulting literature relating to the link between libraries and the metaverse, metaliteracy and its importance for librarians and library users and the challenges of developing metaliteracy skills in the metaverse.

As the metaverse continues to evolve, libraries and librarians must adapt and develop the necessary skills to continue providing valuable resources and services to their communities in virtual environments.

To the best of authors’ knowledge, this paper is the original idea that highlights the importance of metaliteracy for librarians and library users. The challenges of developing metaliteracy skills in the metaverse.

The performance of financial markets is significantly influenced by the political environment during general elections. This study investigates the effect of general elections on stock market performance in selected African markets.

Prior studies have been inconsistent in determining whether electioneering events negatively or positively influence stock market performance. The study utilized panel data set with annual observations from 1990 to 2020. The generalized method of moments (GMM) is employed to investigate the effect of electioneering and change in government on key stock market performance indicators, including stock market capitalization, stock market turnover ratio and the value of stock traded.

The study finds that electioneering activities generally have a positive impact on the performance of the stock market, whereas a change in government has a negative impact. As a result, the study recommends that stakeholders of the stock market remain vigilant and actively monitor electioneering events to devise and implement effective policies aimed at mitigating political risks during general elections. By adopting these measures, investor confidence can be significantly enhanced, fostering a more robust and secure investment environment.

The study investigates a neglected section of the literature by highlighting not only the effect of elections on stock market indicators but also possible change in government during elections.

This chapter conducts a systematic comparison of behavioral economics’s challenges to the standard accounts of economic behaviors within three dimensions: under risk, over time, and regarding other people. A new perspective on two underlying methodological issues, i.e., inter-disciplinarity and the positive/normative distinction, is proposed by following the entanglement thesis of Hilary Putnam, Vivian Walsh, and Amartya Sen. This thesis holds that facts, values, and conventions have inter-dependent meanings in science which can be understood by scrutinizing formal and ordinary language uses. The goal is to provide a broad and self-contained picture of how behavioral economics is changing the mainstream of economics.

The purpose of this research paper focused on studying the role of activated carbons (ACs), which were synthesized from long-chain aldehyde-based xerogels (Xs-AC), as benefit additives to enhance the application of a low-cost urea formaldehyde (UF) adhesive for production of rice straw (RS) composites complying with both the standard specifications of particle-board type and the board produced from using conventional adhesive of RS fibers (methylene diphenyl diisocyanate, MDI). The results are supported by differential scanning calorimetry (DSC) analysis, which indicated the curing and interaction of RS fibers with the adhesive systems.

RS-based composites of particle-board type were prepared from applying new Xs-AC–UF adhesive systems to RS particles. For comparison, particle boards by using commercial UF and 4 per cent MDI were also prepared. To clear the beneficial effect of X-ACs as new HCHO (formaldehyde)-scavengers, the properties of the resulted boards were compared with those produced from the previous investigated scavenger: amide-containing starch-UF (AM/St–UF), and treated RS. DSC analysis was performed on the RS adhesive system, to follow the curing and the interaction behavior of UF with fibers in the presence of Xs-ACs.

The promising results obtained of RS particle boards from using the investigated new HCHO-scavenger are modulus of rupture (MOR) = 17.2 MPa, modulus of elasticity (MOE) = 4,689 MPa and internal bond (IB) strength = 0.49 MPa. While, the thickness swelling (TS) and maximum reduction in free-HCHO are 48.5 and 44.6 per cent, respectively; this reduction value specified the particle-board of E1-E2 type.

The X-AC-UF adhesive systems and treated RS provided particle boards with mechanical properties (MOR, MOE and IB) that met the standard specification values (class M-2 according to ANSI standard and P-2 according to EN standard requirements), together with maximum reduction in toxicity of UF. However, the resistance in water swelling property is weak and needs further study to be solved.

The incorporation of small percentage of new HCHO-scavenger (X-AC) to UF is an effective way to improve its thermal behavior. Moreover, the mechanical properties of agro-based composites based on the treated RS waste together with the X-AC-UF system exceeded those values of panels produced from (AM/St-UF) and also from (4 per cent MDI).

Incorporating the Xs-AC to commercial UF will be of benefit for saving the health of wood co-workers and motivating the wood mill to export its wood products, as well as minimizing the export of MDI.

This paper was based on enhancing the potential utilization of both undesirable RS agro wastes and environmentally unacceptable low-cost UF adhesive in the production of agro-composites that comply with the International Standard Specifications of particle board type. In this respect, a new HCHO-scavenger was synthesized and applied, based on AC from non-conventional xerogels. This study presents a solution to protect the environment from pollution, as a result of burning the undesirable RS, as well as to protect the workers and users of wood panels from exposure to the toxic and carcinogenic gas (formaldehyde). It also benefits in replacing the high cost of the RS adhesive (MDI) by using low-cost modified UF.