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The purpose of this paper was to analyse the research trends on the Indian Open and Distance Education (ODE) system as reflected in the articles published in the prominent journals of distance education across the world.

A study was undertaken to review the research articles on ODE in India published in 11 prominent peer-reviewed journals of distance education during the period 2010–2019. Content analysis was done to find out areas of research undertaken in the ODE of India based on a validated classification of research areas; types of research studies conducted; and authorship and publication patterns.

Out of a total of 2,571 articles published in 11 selected journals, only 191 (7.42%) pertained to ODE in India. The majority of these 191 articles (68.42%) were published in Indian journals. The Indian and Asian journals together accounted for 93.55% of total articles. Globally, the share of articles on the Indian ODE system was significantly low ranging between 4.27 and a maximum of 10.77%, which was much below expectations from a country having the maximum number of ODE learners in the world. Results further revealed that 63% of the contributors to research on ODE in India were affiliated to Indira Gandhi National Open University.

The limitation of this study was only analysing the research articles published in journals of distance education and other types of articles, namely, book reviews, editorials, field notes and workshop reports were excluded from the analysis.

The study is intended to help researchers, policymakers, and open and distance education institutions to draw a roadmap for the promotion and conduct of system-based research, which would be vital for strengthening the system.

The quantum of research is not proportionate to the number of faculty members working in the ODE system of India and the large number of learners that it serves, which is a matter of concern. For any system to grow its periodic systemic review is essential. The research outcomes need to be ploughed back into the system for its betterment.

The study is original. There is no such study undertaken till date. This study will be extremely useful to researchers, as the gaps in distance education research which are yet to be addressed, have been identified by the authors.

The present paper makes an attempt to investigate the determinants that affect FDI inflows distribution among Indian states. Together with traditional determinants, the impact of institutional determinants on state-level FDI inflows distribution in India has been analysed.

The study uses panel data for a period of 20 years (2000–2019) for 17 groups of Indian states (29 states and 7 UTs). The empirical evidence is based on the panel data method and the findings support Dunning's OLI theory. As the data for some indicators for the institutional environment is not available at the state level, hence we used component analysis to arrive at the single component for the institutional factor. The study takes into account corruption, legal system, industrial disputes, man-days lost, labour availability, political risk, protection of IPR and agglomeration as potential macroeconomic and institutional determinants.

Results show that FDI inflows into Indian states is driven mainly by institutional environment. From our analysis, the author infers that the institutional variables such as legal system, IPR, corruption, political instability play an important role in determining the distribution of FDI inflows at the state level in India. Together with that GFCF and agglomeration are also important determinants of state-wise FDI inflows.

The major limitation of the study is that it doesn't include moderated impact of economic and institutional determinants of FDI inflows in Indian states, which can be an avenue for future research. Future research can also carried out taking district-level data to further examine the determinants at district level in India.

The contribution of the present paper is three-fold, first, the author constructs a measure of different institutional variables, after normalization of data for the period 2000–2019, and the author choose the highest explaining factor with the highest variance explained then we constructed the indices for select variable, which further has been used in the panel data analysis technique. The author has found that macroeconomic variables, as well as institutional variables, are significant to attract FDI at the state level in India. The paper shows that corruption, political risk, IPR and legal system are the major institutional determinants of FDI inflows in India at the state level. States with higher domestic investment attract more FDI inflows, moreover, agglomeration is a very important determinant as the investors are more confident in investing at the same location, the reason behind this may be that the investors want to avoid the registration procedure for new land, administrative formalities or they feel more secure at the same place and keen to invest at the same place again.

This study aims to explore the emergence of the human resource (HR) analyst role. The job posts on LinkedIn display the industry demand and skills required by the organizations. This study identifies the different knowledge, skills and abilities (KSA) required for an HR analyst role in different stages of professional growth (i.e. entry-level, middle-senior level and top-level) across different industries/sectors as applicable to the crisis.

A total of 80 job posts were extracted from LinkedIn. Details such as industry, job levels, qualifications, job experience, job functions, job descriptions (JDs) and job skills (JS) were collected. Further, 30 videos were extracted from YouTube and converted into text. Text analysis was conducted using NVivo software to analyze JDs, JS and job functions. Using NVivo, word frequency, word cloud, word tree and treemap were created to visualize the data. Finally, ten in-depth interviews were conducted with senior HRA managers based in India to understand the essential competencies required for the HR analyst role and the strategies to develop them.

The findings indicate that not only technical skills are needed, but business and communication skills are particularly important for all job levels during a crisis. The JD word cloud showed words, such as data, business, support and management, and the word tree depicted HR data and change agents as important words with many related sentences as branches. General JS included analytical, communication, problem-solving and management. Technical JS were the most widely used and included structure query language, system applications & products in data processing, human capital management, TABLEAU, management information system and PYTHON. Strategies to develop these competencies included case studies, live projects, internships on HR analytics (HRAs) assignments and mentoring by senior HRA professionals.

The sample used was small, as the study included 80 job posts available on LinkedIn restricted to India. The study was restricted to qualitative approach and text analytics was used. Survey methods and a quantitative approach can be used to collect data from HR recruiters, job holders and senior leaders to understand the role of HRAs in the job market and then these variables can be tested empirically.

Based on the McCartney et al.’s (2020) competency model for the HR Analyst role, this study has explored the KSA framework using data visualization techniques and used text analytics to analyze LinkedIn job posts for different levels, videos from YouTube and in-depth interviews. It also mapped the KSA for the HR analyst role to the various stages of crisis system management given by Mitroff (2005). The use of social media analytics, such as analyzing LinkedIn data and YouTube videos, are highlighted.

The purpose of this study is to investigate the relationships between Meta-commerce consumption value, consumer satisfaction and continuous usage intention in light of the moderating effects of involvement and consumer competency.

A survey for hypothesis testing was conducted targeting 200 domestic consumers in South Korea aged 19 years and above with experience in Meta-commerce. In order to examine the data, we used exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling using SPSS and AMOS.

The paper discovered that Meta-commerce consumption value affects consumer satisfaction and continuous usage intention. Specifically, the extrinsic value and the epistemic value of Meta-commerce have a positively significant effect on satisfaction. Additionally, the hedonic value of Meta-commerce has a positively significant effect on continuous usage intention. It also presented the differences in influence between low-involvement/high-involvement groups and low-competency/high-competency groups and examined consumer perceptions in detail.

The paper discovered that Meta-commerce consumption value affects consumer satisfaction and continuous usage intention. Specifically, the extrinsic value and the epistemic value of Meta-commerce have a positively significant effect on satisfaction. Additionally, the hedonic value of Meta-commerce has a positively significant effect on continuous usage intention. It also presented the differences in influence between low-involvement/high-involvement groups and low-competency/high-competency groups and examined consumer perceptions in detail.

Conversations around diversity, race and science fiction and fantasy films/television have sparked in response to recent casting decisions made in the upcoming live-action The Little Mermaid, The Lord of the Rings: The Rings of Power and Star Wars' Obi-Wan Kenobi (Deggans, 2022; Romano, 2022). Backlash against casting of actors of Color in these genres highlights racial projects where a cultural memory of whiteness comes up against multicultural change. The authors of this paper feel that there is great potential in using current-day racial issues around fantasy films/television to explore these racial projects with students in social studies classes (Omi and Winant, 2014).

Using a qualitative textual analysis (Peräkylä, 2005), the authors examined online news media outlets addressing the casting of actors of Color in the aforementioned media pieces. After reviewing over twenty articles, the authors determined two major themes that would serve as the findings.

In this paper, themes of nostalgia for an imagined ‘way things were’ and future-based fears of how things will become emerged from the analysis, revealing a need for engaging students in the history of sci-fi and fantasy media, and the existing, diverse histories of storytelling featuring multiple races.

The authors argue that examining racial projects found in contemporary sci-fi and fantasy casting are chances for students to understand complex racial histories and how they blend into current-day cultural landscapes, and are opportunities to practice analysis of real-life racial histories and richly-imagined fantasy worlds, noticing how and why the two often collide when it comes to race.

The purpose of this paper is to conceptualize and empirically test the impact of strategic human resource management (HRM) practices on learning outcomes and also to examine whether this relationship is contingent on knowledge strategy in a sample of knowledge-intensive firms like software companies in India.

Data were collected through a questionnaire, and the software companies were chosen based on the listing in the NASSCOM annual report. A total of 32 companies participated in this research study, and the survey was conducted in two phases.

The universalistic approach revealed that organizational learning outcomes can be enhanced by focusing on specific individual HRM practices. Also, the fit between HRM practices and knowledge strategy revealed that the interaction effect between individual and knowledge strategy have had an increased impact on the learning outcomes.

HRM practices can be aligned to the targeted knowledge strategy of the organization and maximize specific organizational learning outcome to achieve sustained competitive advantage. Knowledge-intensive firms can measure their knowledge strategy and gauge whether it is complemented with HRM practices for better tangible and intangible outcomes.

The proposed model can benefit the firms to analyse the extent of contribution of HRM practices towards the organizational learning process. It also helps to understand how an organization can be productive by focusing on specific learning outcomes and establishing a tighter link between the select individual HRM practices and the defined knowledge strategy.