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This study aims at assessing item fairness in students' evaluation of teaching based on students' academic college using measurement invariance analysis (MI).

The sample of this study consists of 17,270 undergraduate students from 12 different academic colleges. SET survey consists of 20 Likert-type items distributed to four factors: planning, instruction, management and assessment was used to collect the data. The Lavaan R package with confirmatory factor analysis (CFA) was used to evaluate measurement invariance (MI). Four models of CFA were investigated and assessed: the configural model, the metric model, the scalar model and the residual invariance model. ANOVA was used to test the differences in SET according to academic colleges.

MI analysis showed that the four levels of MI models are supported. ANOVA test showed that means of SET total scores are statistically different according to students' academic colleges. College of “Education” has the highest SET mean (88.64 out of 100), and all the differences between the College of Education’s SET mean and other colleges' SET means are statistically significant.

The study recommends that higher education institutions test the MI of SET according to academic colleges and then use colleges with the highest SET at the university level as internal benchmarking to develop and enhance their teaching practices.

This study is probably the only study that tested MI according to students' colleges before testing the differences between colleges in SET. If MI is not supported, then the comparisons between academic colleges are not applicable.

Stock markets are considered as the largest and most important units for the development and growth of the economy. The present study attempts to provide a comprehensive view of factors influencing investment decision making process of stock market investors. A multi group analysis of gender is also carried out on the proposed model.

The data of 402 valid responses are collected through structured questionnaires from individual investors of North India. SPSS 23 is used to do the descriptive analysis and AMOS 22 is used to establish the validity of the constructs and for hypotheses testing. For performing multi group analysis, several invariance tests have also been conducted to check the robustness of the model.

The results reveal that all the factors such as firm image, accounting information, neutral information, advocate recommendation and personal financial needs significantly influence investment decision making concluding image of the firm being the most influential factor and advocate recommendation being the least influential factor for investment decisions. No significant differences between males and females were found.

The current study suffers from the limitation of restricted geographical area of North India. Moreover, there is also a scope to incorporate more demographic factors for predicting investment decisions.

This study incorporates a range of factors which covers all the aspects of investment decision making. This study also highlights the notion of signaling theory, thus contributing to the limited literature in Indian context.

Although numerous studies have been conducted to explore the impact of various factors on employees' turnover intention and intention to remain with the organization, the relationship between these two constructs remains largely unexplored. Considering the significance of these constructs, particularly in the context of the COVID-19 pandemic, the authors aimed to investigate their association within an academic environment using a dynamic modeling approach.

This study follows a quantitative approach and utilizes a longitudinal survey design. The authors utilized a cross-lagged panel model (CLPM) and employed the parametric efficient partial least squares (PLSe2) methodology to estimate the dynamic model using data gathered from lecturers associated with both public and private universities in Malaysia. In order to offer methodological insights to applied higher education researchers, the authors also compared the results with maximum likelihood (ML) estimation.

The findings of the authors' study indicate a reciprocal relationship between turnover intention and intention to remain with the organization, with intention to remain with the organization being a stronger predictor. Moreover, situational factors were found to have a greater influence on eliciting turnover intention within academic settings. As anticipated, the use of the PLSe2 methodology resulted in higher R² values compared to ML estimation, thereby reinforcing the effectiveness of PLS-based methods in explanatory-predictive modeling in applied studies.

The authors' findings suggest prioritizing policies that enhance training and consultation sessions to foster positive attitudes among lecturers. Positive attitudes significantly impact judgment-driven behaviors like turnover intention and intention to remain with the organization. Additionally, improving working environments, which indirectly influence judgment-driven behaviors through factors like affective work events, affect and attitudes, should also be considered.

This study pioneers the examination of the causal relationship between turnover intention and intention to remain with the organization, their stability over time and the association of changes in these variables using a dynamic CLPM in higher education. It introduces the novel application of the cutting-edge PLSe2 methodology in estimating a CLPM, providing valuable insights for researchers in explanatory-predictive modeling.

A good workplace well-being (WWB) has many positive impacts on individuals and organizations. Prior studies indicate that physical, psychological and social well-being factors positively influence WWB. Nevertheless, it is essential to acknowledge that these factors may exhibit variations across different regions, cultural contexts and workplace environments. Therefore, this study aims to explore and validate the relationships between physical, psychological and social well-being factors and WWB at construction sites across different regions, using Malaysia and India as case studies.

A conceptual model was proposed between physical, psychological and social well-being factors and WWB at construction sites. Then, a questionnaire survey was developed based on the proposed model and distributed to construction industry practitioners in both countries. In total, 316 responses were collected and analyzed using confirmatory factor analysis and multigroup analysis.

The analyses indicate that the proposed model on physical, psychological and social well-being factors and WWB at construction sites is valid. Also, the model has no significant differences between the two countries. Thus, the findings show that the physical, psychological and social well-being factors are similarly affecting WWB at construction sites in both countries.

The originality of the study lies in its holistic and cross-regional examination of WWB at construction sites. The insights gained from this study provide evidence for promoting good health and well-being in the construction industry. Moreover, this study seeks to provide insights that transcend geographical boundaries, offering valuable implications for promoting WWB practices in construction projects worldwide.

The purposes of this study were to calculate the confirmatory factor analysis in the measurement model using robust measures (McDonald’s omega and Cronbach’s alpha) to ensure the reliability of the proposed scale and to explore the measurement invariance of the scale per the participants’ gender.

The methodological sample had 408 students from a private university in northern Mexico, of which 200 (49%) were male and 208 (51%) were female; the sample age range was 18–58 years (M = 22.4 years, SD = 6.0). The data analysis included descriptive and normality, dimensionality, reliability and measurement invariance.

The social entrepreneurship competency measurement model showed acceptable adjustment indexes in evaluating the internal structure, reliability and factorial invariance by gender of the study participants.

Even though the contributions of this study are evident, these findings must be taken with caution due to some limitations. First, the proposed measurement model uses a self-reported scale, so it is essential to include other measurement methods with less implicit social desirability. Second, although the sample was intended to be representative, it only drew from a specific geographical area, making it difficult to generalize these findings to culturally diverse areas. Third, this study did not consider other validity measures; for example, concurrent, divergent and predictive, so future studies should consider examining the relationship of social entrepreneurship with other factors.

From the practical perspective, this study provides a parsimonious instrument regarding the number of items included in the measurement model. From the theoretical perspective, the present study contributes to delimiting the dimensions of social entrepreneurship competency.

This study contributes to the field of social entrepreneurship, particularly in the area of construct measurement, by offering a measurement model with solid evidence of internal structure validity, reliability and factorial invariance for the perceived achievement of social entrepreneurship competency.

The technology adoption propensity (TAP) index is a parsimonious yet robust tool for measuring an individual’s willingness to accept new technologies. However, further investigation is still needed to evaluate its merits in non-Western countries. With this task in mind, this study assesses the psychometric properties and predictive capabilities of TAP in Turkey.

The researchers utilized an iterative process of forward-backward translation and three rounds of piloting to ensure the cross-cultural, conceptual and linguistic equivalence for the chosen tool. The final survey was conducted online on a convenience sample of 352 academics and in person for 2 other convenience samples that comprised a total of 259 municipal officers and 300 individuals.

TAP’s four-subscale structure was confirmed by a principal component analysis (PCA), and A confirmatory factor analysis (CFA) showed an acceptable fit across all samples. The total composition of the optimism, proficiency, dependence and vulnerability subscales was found to have adequate internal consistency and discriminant validity. Measurement invariance testing further demonstrated that TAP’s factorial organization was invariant across gender, age and income at configural, metric, scalar and strict levels. Finally, logistic and ordinary leas squares (OLS) regression analyses revealed that the TAP scores were predictive of prior technology adoption and use frequency.

Although these results are still preliminary, the confirmation and replication of TAP in Turkey clearly suggest that TAP is a dependable tool for assessing technology readiness that can be utilized well across different cultures.

The study addresses gaps in sustainable luxury consumption research by analyzing the role of social norms in different cultural settings. It investigates how social norms, self-control, conspicuousness and future orientation shape sustainable luxury consumption in individualistic (UK) versus collectivist (China) national cultures.

The study was based on survey data from British and Chinese luxury product consumers collected through online panels. The final sample included 452 valid responses from the UK and 414 from China. Hypotheses were tested using structural equation modeling.

The study found that descriptive norms positively influence sustainable luxury consumption in individualistic (UK) and collectivist (China) cultures. Injunctive norms affect sustainable consumption only in the UK. Future consequences universally impact sustainable consumption. Conspicuous consumption negatively affects preferences for sustainable luxury brands. Self-control enhances the impact of descriptive norms in the UK but reduces the impact of injunctive norms in China.

This study uniquely explores how social norms and cultural influences impact sustainable luxury consumption in individualistic and collectivistic societies. It highlights the moderating role of national culture, providing actionable insights for luxury brands to enhance sustainable consumption with culturally tailored strategies. The research challenges the universality of the theory of normative social behavior, advocating for its refined application across different cultures.

This study aims to explore the role of social media visual posts (known as foodstagramming) on restaurant visit intention. Drawing on the heuristic–systematic model and normative focus theory, this research introduces a framework that assesses the effects of key foodstagramming attributes – vicarious expression, aesthetic appeal and post popularity – and the mediating roles of goal relevance and mimicking desire, in the process.

Structural equation modelling was performed to test the proposed model using a sample of tourists (n = 377) and residents (n = 341). Multi-group analysis was performed to compare the differences between these groups.

Results reveal that mimicking desire and goal relevance influence restaurant visit intention; however, mimicking desire has a stronger influence than goal relevance. Little difference was found between the tourist and the resident groups in the proposed relationships, except that vicarious expression positively influences mimicking desire in the tourist group but not in the resident group.

This study guides restauranteurs and social media influencers (foodstagrammers). It shows that consumers value the textual content and aesthetic appeal of photos over the popularity of a post. It also indicates that vicarious expression is more important for tourists than for residents.

This research advances social media marketing literature by proposing a new information processing framework. To the best of the authors’ knowledge, this study is one of the first studies to explore the impact of visual post attributes on individual decision-making behaviours through socially acceptable norms.

Although visual prototypicality in fashion is an observed phenomenon, empirical examinations of the link between fashion products' design prototypicality and consumer evaluations still need to be included. The present study analyzes the influence of the visual prototypicality of fashion products on consumer-perceived product values and brand preference.

An online survey adopting the fashion product images with significantly differing levels of visual prototypicality was used to collect data from 456 US consumers. The hypothesized relationships among visual prototypicality, product values and brand preference were analyzed through multi-group analysis.

Perceived visual typicality of fashion product designs significantly increased the hedonic and utilitarian value of the product and only indirectly increase brand preference. The hypothesized positive relationship between visual prototypicality and the product’s social value was found to be significant only in the low-price levels but became insignificant in the high-price levels.

The findings of this study contribute to the extant literature by first providing an initial analysis of the mechanism of visual prototypicality in the fashion product design field. The results confirm that visual prototypicality indirectly influences consumers' brand evaluations by the product’s perceived value. This relationship was previously assumed but not empirically proven only in non-fashion product categories. The study also presents additional new points, further enriching the understanding of visual typicality. Additionally, the results show the complex relationship between the visual prototypicality of fashion product designs and the perceived social value of the product, which varies depending on the price range.

Children are beginning to socialize as consumers earlier than ever, highlighting the importance of their saving behavior as an effective form of consumer protection. The paper explored the influence of parents, peers, attitudes, knowledge, past behavior, allowance and self-efficacy on saving intention.

With the aim to explore a range of determinants of adolescent saving and to specify the potential mechanisms through which different determinants operate, we adopted a multitheoretical approach based on theories of planned behavior, consumer and financial socialization, and self-efficacy. The paper investigates the formation of the saving intentions on a sample of 1,476 children 10–15 years old in Croatia.

The results indicate strong importance of parental influence and self-efficacy, implying that saving intention among tweens requires a supportive family structure as well as beliefs in the tweens themselves that they are able to save money and face difficulties.

This paper investigates the very nature of saving intention formation at a crucial developmental stage; it investigates the interplay of mechanisms through which determinants of savings operate at that developmental stage; and it explores the age-variance of the mechanism and the interplay of relevant variables, shedding light on the nature of the mechanism of development.