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The main aim of this study is to explore the role of multi-dimensional human capital on the economic growth of the Indian economy.

The study used the methodology given by World Bank, 2018) in calculating the human capital index (HCI). The HCI has been constructed at a regional level for all 28 Indian states and 8 Union Territories (UTs) for the period of 2015–2016. The study explored the linkages between HCI and per capita gross state domestic product (PGSDP). The study further employed OLS (Ordinary Least Square) for overall significance and Spearmen’s Rank correlation coefficient test for establishing the linkage between HCI and PGSDP.

The results indicate that quality education, expected year of schooling, and infant mortality rate play a significant role in the improvement of HCI which further impacts the productivity rate of the upcoming generation and the inclusive growth of the country. The findings show that Mizoram, Chandigarh and Kerala are better performing states while the Bihar and Uttar Pradesh are the worst performers. The results also show that there is a positive and statistically significant correlation between PGSDP and HCI and its components. Further, the results show that public expenditure on health and education has significant effect on HCI.

The results of this study would be useful for policymakers to identify the determinants and improve the position of Indian states in HCI. The results show that policymakers should focus on quality education and health to improve the productivity of future generation workers for sustainable and inclusive growth.

The study is the pioneering study to analyze the state-wise HCI in India using methods mentioned by the World Bank. Unlike previous studies, variables such as expected year of schooling, under-5 mortality rates and survival rates are constructed more pragmatically.

This study aims to analyze the status and application/use of human–computer interaction (HCI) in libraries by conducting a systematic literature review (SLR).

A Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach was used to search Scopus, Web of Science and Google Scholar databases. The search criteria included research studies published in English language between 2010 and 2021, which were 4,167 citations. Out of 4,167 citations, a total of 50 studies were selected for the final analysis.

The results showed a positive attitude of librarians toward HCI applications in libraries worldwide. The results depict that one-third (30%) of the studies were conducted in the USA, followed by four (8%) studies in China. Out of 50 studies, a portion of 15 (30%) studies were based on digital libraries, followed by seven (14%) studies on academic libraries and five (10%) studies on libraries and their websites. HCI was used for searching and retrieving information, users’ interaction, authentication, online help/support, feedback, library web access, web OPAC, virtual access to resources, indigenous repository and virtual services. The most productive year was 2015, and journal of The Electronic Library had more articles on HCI than other journals.

The findings of this study could assist policymakers and library authorities in reconciling the HCI application in libraries for providing effective and efficient access and services to end-users.

This study is unique as no comprehensive study has been conducted on the use of HCI in librarianship using the SLR method.

This paper investigates the housing affordability crisis from the perspective of vulnerable social groups (VSG) in Turkey and Turkey's megacities, Istanbul, Ankara, and Izmir, over the period of 2010 and 2019.

The author employ house cost and multiple income variables, involving residual income, to construct socially informative house cost-to-income (HCI) ratios. To measure the country/urban level socio-economic dimensions of the affordability crisis, the author develop 12 main and 76 specific housing affordability criteria.

The author find that housing is not affordable in Turkey and low/unequal distribution of income is a contributive factor for the affordability crisis of VSG. The evidence suggests that housing unaffordability for VSG is deeply rooted in the socio-economic/demographic disparities that eventually result in income and homeownership inequalities.

Constructed HCI ratios provide precise information for the targeted housing affordability policies for the VSG defined by education level, age, location, income distribution, employment status/condition and gender. The author' socially targeted modeling approach briefly suggests that housing affordability policies should focus on low-educated groups, young generations, some elementary occupations, employees in low-income industries, and casual/regular-small firms' employees.

This is the first study that provides nuanced information on housing affordability for Turkey by employing HCI ratios for the targeted VSG. This socially targeted empirical analysis is the first analysis for developing housing markets as well. From the methodological perspective, the author contribute information quality of the housing affordability ratio by using income data of various aggregate-level socio-economic/demographic groups.

This study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing application of human–machine interaction in real estate APP, it is crucial to utilize human–machine interaction to stimulate perceived interactivity between humans and machines to positively impact consumers' psychological well-being and sustainable development of real estate APP. However, it is unclear whether perceived interactivity improves consumers' psychological well-being.

This study proposes and examines a theoretical model grounded in the perceived interactivity theory, considers the relationship between perceived interactivity and consumers' psychological well-being and explores the mediating effect of perceived value and the moderating role of privacy concerns. It takes real estate APP as the research object, analyses the data of 568 consumer samples collected through questionnaires and then employs structural equation modelling to explore and examine the proposed theoretical model of this study.

The findings are that perceived interactivity (i.e. human–human interaction and human–information interaction) positively influences perceived value, which in turn affects psychological well-being, and that perceived value partially mediates the effect of perceived interaction on psychological well-being. More important findings are that privacy concerns not only negatively moderate human–information interaction on perceived value, but also negatively moderate the indirect effects of human–information interaction on users' psychological well-being through perceived value.

This study expands the context on perceived interaction and psychological well-being in the field of real estate APP, validating the mediating role and boundary conditions of perceived interactivity created by human–machine interaction on consumers' psychological well-being, and suggesting positive implications for practitioners exploring human–machine interaction technologies to improve the perceived interaction between humans and machines and thus enhance consumer psychological well-being and span sustainable development of real estate APP.

This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.

The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.

The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.

The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.

In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.

Although brands have developed mobile applications (apps) to offer consumers new experiences, low app usage numbers indicate the need to develop a systematic, practical evaluation framework for branded app design that specifies concrete design features.

An expert review provides an overview of the design of current branded apps. On the basis of an extensive literature review, this article classifies state-of-the-art design features for branded apps according to a proposed evaluation framework that includes human–computer interaction (HCI)–related and marketing-related evaluation criteria. In an application of these evaluation criteria, the authors evaluate 73 branded apps issued by 11 top fast-moving consumer goods (FMCG) brands.

The expert review identifies strengths and weaknesses that are common to the design of current branded apps. These findings inform the set of design recommendations that this article offers, which includes 14 features common to all types of apps and 9 features specific to particular types of apps.

This research offers practical implications for app designers, who need to address design dimensions contained in the proposed framework including the HCI-related (mobile, social and user experience design features) and marketing-related (branding and customer relationship management design features) to create effective branded apps.

Design elements identified in prior literature remain abstract and do not prescribe a systematic or pragmatic approach to using them in practice. This study takes a multidisciplinary perspective (HCI, marketing and design science) to establish a practical evaluation framework for branded app designs.

The literature review explores how multidisciplinary approaches based on critical pedagogy and participatory research can provide frameworks for equitable partnerships and genuine participation in educational design and research practices. Additionally, the essay aims to expand understandings of equitable engagement within educational research and design based on principles from critical pedagogy.

The essay draws from diverse literature in the learning sciences, health informatics, industrial design, disability studies, ethnic studies, rehabilitation science, and to a lesser extent HCI research to understand how critical pedagogy and participatory research methods can provide useful frameworks for disabled peoples' equitable engagement and genuine participation in educational research and design. The literature reviewed in the paper concern topics such as participatory approaches to community development with disabled adults, the implementation of university-initiated community partnerships, participatory research with students and disabled people, and the importance of culturally-responsive research practices. The design literature in this review explores various arenas such as the co-design of assistive technologies with disabled children and adults and the design of curricula for students with and without disabilities. This review focuses on research practices that engender disabled peoples' participation in educational research and design, with focus on developing multidisciplinary frameworks for such research.

The literature review concludes that participatory research methods and critical pedagogy provide useful frameworks for disabled peoples’ participation in educational design and research practices. Critical pedagogy and participatory design allow for the genuine participation of disabled people in the research process.

Emphases on collaboration and collective knowledge-building in social transformation are present in scholarship concerning critical pedagogy, participatory research, and disability studies. However, these connections have been routinely underexplored in the literature. This paper aims to underscore these integral connections as a means to build solidarity between disabled and other marginalized people.

The connections between participatory research methods, critical pedagogy, and disability studies have been previously underexplored. The literature review proposes a combined approach, which has the potential to radically transform multiple realms of research beyond the learning and information sciences.

With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have received more and more attention. However, most of the existing research focuses on investigating the application of theories to explain consumer behavior related to intention to use and adopt IVAs, while ignoring the impact of its privacy issues on consumer resistance. This article especially examines the negative impact of artificial intelligence-based IVAs’ privacy concerns on consumer resistance, and studies the mediating effect of perceived creepiness in the context of privacy cynicism and privacy paradox and the moderating effect of anthropomorphized roles of IVAs and perceived corporate social responsibility (CSR) of IVAs’ companies. The demographic variables are also included.

Based on the theory of human–computer interaction (HCI), this study addresses the consumer privacy concerns of IVAs, builds a model of the influence mechanism on consumer resistance, and then verifies the mediating effect of perceived creepiness and the moderating effect of anthropomorphized roles of IVAs and perceived CSR of IVAs companies. This research explores underlying mechanism with three experiments.

It turns out that consumers’ privacy concerns are related to their resistance to IVAs through perceived creepiness. The servant (vs. partner) anthropomorphized role of IVAs is likely to induce more privacy concerns and in turn higher resistance. At the same time, when the company’s CSR is perceived high, the impact of the concerns of IVAs’ privacy issues on consumer resistance will be weakened, and the intermediary mechanism of perceiving creepiness in HCI and anthropomorphism of new technology are further explained and verified. The differences between different age and gender are also revealed in the study.

The research conclusions have strategic reference significance for enterprises to build the design framework of IVAs and formulate the response strategy of IVAs’ privacy concerns. And it offers implications for researchers and closes the research gap of IVAs from the perspective of innovation resistance.

This paper aims to check the E-Government Development Index (EGDI) of South Asian countries and then highlight the main challenges they are facing right now, which are causing South Asian countries to do good in the e-government sector.

The authors will be getting the EGDI data for South Asian countries through the United Nations website, and to visualize it for understanding, the authors will be taking the help of an Online Business intelligence tool. After successfully fetching data and presenting it in a proper format, the authors will be doing an analysis of the South Asian country’s EGDI score overall and also will check on individual indicator levels of EGDI.

Finally, the authors will be sharing the common improvement points which South Asian countries’ governments need to focus on to make their EGDI score better and get included in the list of top E-Government. With its help, countries will progress and get hand-in-hand with the world by providing the best governance practices to their citizens.

It is important to understand for South Asian countries that the e-government initiative is not just about transforming governance or providing quality services to citizens but also it is about being in sync with the world and competing with other countries in the development progress. So, they have to follow the e-government trends to get their country aligned with the world and attain progress country in a faster speed.

In the tourism industry, immersive technologies become increasingly vital, amplifying traveler experiences and industry growth. By studying “e-booking” applications prevalent in hotels, this study aims to analyze the impact of integrating an anthropomorphic virtual agent (AVA) on user perceptions of humanness and service usage intent.

Two experiments were conducted to examine the effects of using an AVA and explain the psychological mechanism of how AVA’s attributes increase intention to use “e-booking” application.

The results highlight the positive influence of AVA on the intention to use. They illustrate the psychological mechanism of how AVA’s attributes (agency and emotionality) influence perceived humanness and intention to use. More specifically, the results indicate that perceived humanness mediated the effect of an AVA on intention to use.

Further research should delve into additional capabilities related to humanness.

This study provides useful insights for hotels’ managers about incorporating AVAs in digital services to enhance the perceived humanness of AVAs. The findings suggest that such efforts could yield benefits, especially when they involve conveying that AVAs possess agency and emotionality.

To the best of the author’s knowledge, this study is the first to investigate how AVA impacts hotel human–computer interaction. It examines agency and emotionality features on humanness perception and behavioral intent. It also guides successful digitalized hotel service development and design, expanding existing research on human–virtual agent digital services, which mainly focuses on superficial traits like face and gender.