Although we have evolved digitally and technologically in the 21st century, disparities still exist in society. The research problem cited for the study is the need to assess the impact of the digital divide in the formation of digital capital, where the already stratified society based on variables such as age, gender, education, and region (rural–urban) will act as moderators to mitigate the digital inequalities for a sustainable world. The research objectives are to explore the underpinning reasons for the digital divide in reinforcing social inequalities, quantify the impact of the digital divide on digital capital statistically, and to evaluate the moderating effect of social strata variables comparatively. The idea of digital capital culminates into five hypotheses for this study as the digital divide impacts digital capital, as well as the assessment of moderating effects of age, education, and region. Statistical tools, specifically frequency, percentage, reliability, ANOVA, correlation, and regression, have been used to test the hypothesis and proposed conceptual model. The social strata dimension in the study revealed a higher variance of opinion. Digital capital is taken as the dependent variable and the digital divide is the independent variable, which shows Beta as 0.591 and B as 0.585, indicating a good relationship of 59.1% and an effect of 58.5%. Finally, the research reveals that there exists a digital divide and, hence, digital inequalities in India need to be addressed for attaining various Sustainable Development Goals. The study has significant implications for the leaders and policymakers to work towards inclusivity by bridging the digital divide and eliminating digital inequalities in India.

The digital divide is an important issue in developing nations, especially during Covid-19 times. The notion of the digital divide gained prominence in the 1990s. The characterization of the idea of the digital divide has evolved with time and is currently recognized as “lack of knowledge, access or infrastructure.” It can be comprehended as a barrier for the general masses, particularly in developing countries. Information and communication technology (ICT) now occupies a significant role in our lives (especially in Covid-19 times). India is known for its social diversity. However, some groups and categories of people have historically been excluded and continue to be excluded today. This study focuses on the assessment of the impact of the digital divide on Indian society, specifically on the phenomenon of social exclusion because of the digitalization of almost all aspects of our lives. The research gap observed is that the digital divide can have serious concerns for future growth since it impedes social mobility, creates impediments, and exacerbates social inaccessibility for disadvantaged groups. To obtain an adequate sample size, respondents are chosen using simple random sampling technique of probability sampling. Statistical techniques such as validity and reliability analysis, T-test, ANOVA, and correlation-regression are used to present quantitative data. The study's expected outcome will be to provide a vigilant roadmap for policymakers and public institutions to strengthen nationhood among the masses while promoting social inclusion. Modern Indian society should strive for inclusion, and there should be no discrimination in terms of digital accessibility, which could paralyze the developing nation.

The main goal of the study is to assess the decision criteria and the determining factors for the sustainability of entrepreneurial startups in order to contribute towards social inclusion and capacity building. Both concepts are in the development phase and are the outcome of entrepreneurial ecosystem and individual behavior and traits. The current study observed the research problem as entrepreneurship and entrepreneurial startups are the continuous phenomena required for every economy. The lack of an efficient ecosystem and incompetent trait of an entrepreneur brings the entrepreneurial startup to failure. Therefore, an assessment of decision criteria and determining factors categorizing them by their importance may provide the requirements to lead to a successful entrepreneurial startup, contributing to social inclusion and capacity building. The study solved the research problem by statistical assessment of decision criteria and determining factors and categorizing them by their importance may provide the requirements to lead to a successful entrepreneurial startup. The research is built on research questions, objectives, a conceptual model, and a hypothesis, which are tested based on the data collected. The collection of data was done through a survey questionnaire on a sample of established entrepreneurs. The study concludes that the five components of decision criteria are region, competition, funding opportunities, tax system, and country economic situation, whereas eight determining factors, consciousness and reliability, pursuit of results, flexibility, stress resistance, skills of identification and exploitation of potential market opportunities, leadership, creativity and innovation, and delegation of decision-making, are required for a successful entrepreneurial startup to be able to work towards social inclusion and capacity building.

The main goal of the study is to assess the Decision criteria, and the determining factor for the sustainability of entrepreneurial startups in order to contribute towards social inclusion and capacity building. Both concepts are in the development phase and are the outcome of entrepreneurial ecosystem and individual behavior and traits. The current study observed the research problem as entrepreneurship and the entrepreneurial startups are the continuous phenomena required for every economy. The lack of an efficient ecosystem and incompetent trait of an entrepreneur drags the entrepreneurial startup to a failure. Therefore, an assessment on decision criteria and determining factors categorizing them with their importance may provide requisites to lead a successful entrepreneurial startup contributing to the social inclusion and capacity building. The study solved the research problem by statistical assessment of decision criteria and determining factors and categorizing them with their importance may provide requisites to lead a successful entrepreneurial startup. The research is built on research questions, objectives, conceptual model, and hypothesis which are tested based on the data collected. The collection of data was done through a survey questionnaire on a sample of established entrepreneurs. The study concludes that five components of decision criteria are Region, Competition, Funding Opportunities, Tax System, and Country Economic Situation, whereas the eight components Consciousness and Reliable, Pursuit Results, Flexibility, Stress Resistance, Skills Identification Exploitation Potential Market Opportunities, Leadership, Creativity and Innovation, and Delegation Decision Making of determining factor are required for a successful entrepreneurial startup to be able to work towards social inclusion and capacity building.

The main focus of this research has been on examining the renewable energy sources (RESs) consumption with respect to green consumer values (GCVs). These GCVs have primarily been examined with regard to different products and services. The most significant strategy for strengthening everyone is social education. While GCVs are assumed to be nurtured through education, specific understanding about the long-term benefits of renewable energy for a sustainable life is measured with the belief that the greater the training and development the better shaped the society can be, which boosts morale and increases their energy reliance with RES, assessed by the respondents of Uttar Pradesh (UP), as the outcome of the research. The implications for the stakeholders are the long-term advantages of renewable energy for a sustainable existence, since a society may be better formed and its reliance on RESs for energy rises the more training and development it receives. The advantages are visible, though we may not be able to completely transition soon, but it is crucial that we think for the future. The quantitative research method applies statistical analyses, such as ANOVA, spectral analysis, and multilayer perceptron analysis, justifying the requirement of education. The results justify that the solution to this problem—that green consumer values are being learned—can be nurtured by societal education. Learning about green consumer values can make society understand the renewable energy benefits, which can better shape society and lead to capacity building.