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This paper aims to propose the global nation product equity model (GNPE) to measure global consumers’ equity of a product that a country produces, especially a nation’s cultural products (i.e. culducts). The model also examines the significant difference of GNPE depending on a cultural diffusion level. GNPE model proposes that depending on the level of people’s recognition/acceptance/preference of a culture from another country (i.e. cultural diffusion level), the equity of a product from that country could be different in different countries. As variables that affect GNPE, global nation product equity in general, global nation product equity of a product category and nation cultural equity are included in the model.

To test the model, this study developed Hallyu (Korean cultural diffusion)-related Korean culducts and measured global consumers’ equity for the Korean culducts. In all, 351 surveys were collected from China, France, England and the USA.

The results show the significantly different equities and relationships among equities depending on the level of Hallyu diffusion in each country. Therefore, Korea is suggested to focus on different equities in different countries.

This research proposed a new model that extends the previous brand equity models to non-branded products (i.e. cultural products). This model proposed new variables that affect equity of a product mentioned above and suggests different equities to improve in different countries depending on their level of cultural diffusion. Also, this cross-cultural study suggests a direction of culduct design, distribution and promotion strategies in the global market.

This paper aims to study the effects of varying inlet channel angle in a novel microfluidic architecture blood plasma separation ability over range of hematocrit values (5–45%) at multiple flowrates.

CAD designs for both micro architectures were designed in SOILWORKS. In the second step, these designs were imported into ANSYS to perform where meshing, model selection, defining blood as two-phase material and boundary conditions are performed.

Separation efficiency values close to 100% with diluted blood and 65.2% with whole blood were observed. Straight channel inlet design has significantly better performance at high hematocrit levels, whereas at lower hematocrit levels, both designs had almost same outcome. Furthermore, lower flowrates have shown the highest separation efficiency for lower hematocrit levels, whereas at higher hematocrit percentages, higher flowrates have shown better separation effects for both designs. Furthermore, trends obtained for flow ratio and flowrates against separation efficiency are demonstrated.

This study is based on blood modeled as two-phase flow, with the phases consisting of blood plasma as primary phase and red blood cells as secondary particulate phase.

Implications of this study are far reaching for point-of-care health-care systems. A practical system of this numerical study can provide a microchannel device which take very small amount of blood sample to separate it into constituents which can be coupled with detection module to detect a particular disease for which it is designed for. This microsystem can be very beneficial for remote areas where a large hospital facility is far away.

This study has carried out a detailed analysis on the ability of a novel microchannel architecture to separate blood plasma from other blood constituents. Inlet channel angle variation effects are observed over a range of hematocrit percentages. These trends are further investigated for three different flowrates to assess the microchannel design behavior.

This research explores the effect of e-learning Moodle-based system usability on students' learning outcomes with the possible intervening role of teacher's behavior and online engagement.

In this research, the authors followed a quantitative methodology and a deductive research approach. Data were collected from 433 students at different study levels and academic specializations in higher education institutions (HEIs) in Oman. The data have been analyzed using partial least squares structural equation modeling via Smart-PLS.

The findings of this research show that e-learning system usability affects students' learning outcomes. Moreover, the relationship between these two variables is mediated by teacher behavior and students' online engagement.

This study is important as it adds to the understanding of the role of e-learning system usability in predicting student outcomes. From practical perspectives, especially during the spread of the COVID-19 pandemic, this study also helps practitioners at private HEIs use e-learning systems more efficiently and effectively to improve students' engagement and learning outcomes.

This study aims to examine the influence of gameful experience (GAMEX) on customer brand engagement in the context of e-tailing. Drawing on the self-determination and social learning theories, the authors have developed a comprehensive model incorporating cognitive, emotional and behavioral factors leading to brand advocacy and re-visit intention for the retail website.

The data for this study were obtained from 715 customers across various e-tailing websites. This research uses both quantitative method (partial least squares structural equation modeling − PLS-SEM) and qualitative method (fuzzy set qualitative comparative analysis − fsQCA) to investigate the relationship between GAMEX and customer brand engagement in the e-tailing context, with a focus on the long-term outcomes of brand advocacy and re-visit intention.

The PLS-SEM results indicate a significant impact of GAMEX on customer brand engagement. In addition, the findings reveal the moderating role of fear of missing out, internet self-efficacy and technoeustress in the association among GAMEX, customer brand engagement, brand advocacy and re-visit intention. The findings from fsQCA support the results obtained from PLS-SEM and reveal four configurations for brand advocacy and five configurations for re-visit intentions.

This research evaluates the impact of GAMEX on customer brand engagement using a mixed-method approach involving qualitative and quantitative procedures. This study offers valuable insights into the design of gamified marketing activities and current practices for fostering greater engagement.

This paper aims to depict the mechanistic role of vitamin D on dementia prevention, relief of the severity and the complication of the disease. All papers indexed in scientific databases, including Scopus, Elsevier, PubMed, Embase and Google Scholar between 2000 and 2021 were extracted and discussed. To present the mechanistic role of vitamin D in declining the severity of dementia, keywords including dementia, vitamin D, oxidative stress, inflammation, amyloid beta-Peptides were used.

Dementia is a prevalent cognitive disorder worldwide, especially in elderly people, which is accompanied by serious disabilities. Besides genetic, biological and lifestyle factors are involved in the incidence of dementia. An unhealthy diet along with micronutrient deficiencies are among modifiable factors. Vitamin D is one of the important micronutrients in brain health. Besides the involvement in gene expression, bone mineralization, apoptosis, inflammation, skeletal maturation, neurotropic action and hemostasis of phosphate and calcium, vitamin D also exerts neuroprotective effects via genomic and non-genomic pathways.

Vitamin D up-regulates the expression of various genes involved in dementia incidence via various mechanisms. Decreasing oxidative stress and the neuro-inflammatory cytokines levels, regulation of the expression of alternated Proteins including Tau and Amyloid-ß, calcium homeostasis in the central nervous system and also vascular are considered main mechanisms.

Considering the importance of diet in preventing dementia, adherence to a healthy diet that provides essential nutrients to brain function seems to be urgent. Controlling serum levels of vitamin D periodically and providing vitamin D by related sources or supplements, if there is a deficiency, is recommended. Future studies are needed to clarify other related mechanisms.

Individuals adopt differing perceptions of entrepreneurial types, including small businesses, scalable businesses and social businesses. This study aims to suggest that individuals' entrepreneurial personal theory (EPT: learning from experiences that informs how an individual conceptualizes entrepreneurship) influences entrepreneurial intent, and that sensemaking facilitates this process such that those with a clearer understanding of different entrepreneurship paths are more likely to pursue opportunities.

This study theorizes and empirically tests whether EPT affects an individual's intent to start a small business, a scalable business or a social enterprise and how gender moderates the relationship between EPT and entrepreneurial intent. Primary survey data were collected from undergraduate business students and working adults.

The results indicate that EPTs characterized by small business, scalable business and social entrepreneurship have a positive association with entrepreneurial intentions. However, gender interaction effects showed that for women, an EPT characterized as small business has a weaker relationship with entrepreneurial intent, whereas an EPT characterized as social entrepreneurship has a stronger relationship with entrepreneurial intent. The notions that gender directly affects personal conceptions of entrepreneurship and that women may have not been exposed to all facets of entrepreneurship are addressed.

Other variables not included in this study could also influence the relationship between how the type of entrepreneurship may shape entrepreneurial intent and how such relationship may be influenced by gender. Implications for entrepreneurship education and curriculum development are presented.

Integrating the EPT and sensemaking to uncover gender differences in the development of entrepreneurial intentions is a novel theoretical discussion.

The purpose of this paper is to examine the determinants of females' likelihood to work in a Muslim society, Azerbaijan.

To obtain more precise results, the authors analyze the relationships of interest in three different contexts: single (unmarried) females (n = 407, M = 0.779, Std. = 0.416), married female (n = 398, M = 0.706, SD = 0.456) and married male (n = 381, M = 0.378, Std. = 0.485). Linear probabilistic models and logistic regression techniques are employed to estimate regression parameters.

The results altogether display a strong positive impact of the educational attainment of both females and married males. Between the income of married males' and females' employment likelihood, nonlinear – inverse U-shaped association is found. The findings indicate that conservatism towards females' employment is not religiously opinionated, mostly due to insufficient educational attainment.

Based on the research findings, inspiring individuals are recommended to attain degree level qualifications. Simultaneously, the government should engage in mass media to increase awareness of the public about the non-monetary benefits of female employment.

The research results are highly useful for policy practices and fill the huge gap in the studies and research made on the Azerbaijan labor market.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2019-0557.

This study aims to apply the service robot acceptance model (sRAM) to examine how attitude toward human–robot interaction (HRI) and engagement influence consumer acceptance of service robots in a frontline setting.

Data was collected from 255 visitors who interacted with a robotic tour guide at a city museum. The data was analyzed using smart PLS 4.0.

The findings show the positive effects of subjective norms, appearance, perceived trust and positive emotion on both attitude toward HRI and engagement. In addition, social capability impacted attitude toward HRI, whereas perceived usefulness affected engagement.

To deliver engaging museum experiences that bring about positive word-of-mouth and intention to visit, managers need to incorporate the sRAM dimensions in the design and deployment of service robots.

This research uses field data to empirically validate the sRAM in the context of service robot acceptance. It introduces engagement as a novel mediating variable, enriching current understanding of human-like qualities in HRIs.