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This study aims to identify and analyse the key determinants influencing customer satisfaction towards online shopping in India.

The literature concerning major attributes of website functionality, perceived usability, perceived usefulness and customer satisfaction in online retailing were reviewed. Data were collected from 365 respondents active in online shopping for examining the constructs. The model was empirically tested using structural equation modelling.

The findings of the study reveal that perceived usefulness and website functionality have a positive impact on customer satisfaction, whereas perceived usability had a significant but negative impact on customer satisfaction.

This research will help online retailers to attract and motivate new customers for online shopping and existing customers to extend it in their daily purchase. Online retailers can improve post purchase satisfaction and eventually increase online customers.

This is one of the preliminary study dealing with customer satisfaction towards online retailing in India. The scale has been extended to include items like satisfaction with cash on delivery mode of payment not included in previous scales. The scale of perceived usefulness has also been deepened by adding time performance, product performance and promotional performance.

In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI).

This study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%).

DPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI.

This study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.

This study assesses the SDG-related well-being of indigenous communities in India using bibliometric analysis and the ADO-TCM framework. It provides insights into their alignment with sustainable development objectives.

This study analysed 74 high-impact journals using bibliometric analysis to evaluate the well-being of India’s indigenous peoples about the SDGs.

This study analyses the well-being of tribal communities in India using existing scholarly articles and the ADO-TCM framework. It emphasises the importance of implementing Sustainable Development Goals (SDGs) to promote the well-being of indigenous populations.

This study uses bibliometric analysis and the ADO-TCM framework to investigate factors impacting tribal community welfare. It proposes theoretical frameworks, contextual considerations and research methodologies to achieve objectives.

In this research paper, the authors delve into the ethnography and socioeconomic status of the Chenchu tribal community that resides in Telangana's Nallamalla forest. The authors also examine the initiatives undertaken by the government to create fair entrepreneurial opportunities while preserving their unique culture. Additionally, the authors analyse potential entrepreneurial and business opportunities using the environmental, social and governance (ESG) framework.

To gain insight into the current socio-economic development and living standards of the Chenchu tribal people, the authors conducted interviews in nine different villages with 177 individual respondents. Statistical analysis was then used to determine the relationship between business opportunities and their impact on socio-economic development based on the data collected.

The Chenchu tribal community has faced significant challenges, including vulnerability, poverty and debt. To promote the development of the tribe, it is essential to provide equal opportunities in education, healthcare and means of subsistence. The government has implemented various social and developmental programs to support sustainable development and entrepreneurial opportunities while preserving the tribe's unique culture and improving their education and standard of living. These initiatives are aimed at benefiting the entire community.

The Chenchu tribal people are eager for progress but hesitant to leave their forest homes and integrate into modern society. This creates challenges for efficiently implementing welfare programs. It is crucial to strike a balance between forest regulations and the rights of indigenous communities to ensure their protection and prevent any hindrance to development efforts.

To promote sustainable development and preserve tribal cultures, the government should implement various social and developmental programs. These programs should improve living conditions and socioeconomic development while exploring business opportunities. Maintaining these communities' unique identities while striving for progress is essential.

The research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This study aspires to provide an in-depth literature review and critically assess the knowledge gaps in HR analytics and attritions within organisational performance.

The review analyses the corpus of 196 research articles published in ostensible journals between 2011 and 2023. To identify research gaps and provide valuable insights, this study synthesises relevant studies using School of thought (S), Context (C), Methodology (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) (SCM-TBFO framework). This study employs the R programming language to conduct a systematic literature review in accordance with the “preferred reporting items for systematic reviews and meta-analysis” (PRISMA) guidelines.

The emerging discipline of HR analytics encompasses the potential to manage attrition and drive organisational performance enhancements effectively. The study of SCM-TBFO encompasses a multidimensional approach, incorporating diverse perspectives and analysing its complex aspects compared to various approaches. The School of thought includes the human capital theory, expectancy theory and resource-based view. The varied research contexts entail the USA, United Kingdom, China, France, Italy and India. Further, the methodologies adopted in the studies are artificial neural networking (ANN), regression, structure equation modelling (SEM) case studies and other theoretical studies. HR analytics and attrition triggers are data mining decision systems, forecasting for firm performance and employee satisfaction. The barriers include leadership styles, cultural adaptability and lack of analytic skills, data security and organisational orientation. The facilitators were categorised into data and technology-related facilitators, human resource policies and organisational growth and performance-related facilitators. The study's primary outcomes are technology adoption, effective HR policies, HR strategies, employee satisfaction, career and organisational expansion and growth.

The primary goal of the literature review is to provide a comprehensive overview of the current state of HR analytics and its impact on organisational performance, particularly in relation to attrition. Further, the study suggests that attrition, a critical organisational concern, can be effectively managed by strategically utilising HR analytics and empowering data-driven interventions that optimise performance and enhance overall organisational outcomes.

The paper aims to throw light on the interactions taking place between the different chemical compositions at various temperatures. P-methylacetophenone is a polar dissolvable, which is positively related by dipole–dipole co-operations and is exceptionally compelling a direct result of the shortfall of any critical primary impacts because of the absence of hydrogen bonds; hence, it might work an enormous dipole moment (μ = 3.62 D). Alcohols additionally assume a significant part in industries and research facilities as reagents and pull in incredible consideration as helpful solvents in the green innovation. They are utilized as pressure-driven liquids in drugs, beauty care products, aromas, paints removers, flavors, dye stuffs and as a germ-free specialist.

Mixtures were prepared by mass in airtight ground stopper bottles. The mass measurements were performed on a digital electronic balance (Mettler Toledo AB135, Switzerland) with an uncertainty of ±0.0001 g. The uncertainty in mole fraction was thus estimated to be less than ±0.0001. The densities of pure liquids and their mixtures were determined using a density meter (DDH-2911, Rudolph Research Analytical). The instrument was calibrated frequently using deionized doubly distilled water and dry air. The estimated uncertainty associated with density measurements is ±0.0003 g.cm⁻³. Viscosities of the pure liquids and their mixtures were determined by using Ostwald’s viscometer. The viscometer was calibrated at each required temperature using doubly distilled water. The viscometer was cleaned, dried and is filled with the sample liquid in a bulb having capacity of 10 ml. The viscometer was then kept in a transparent walled water bath with a thermal stability of ±0.01K for about 20 min to obtain thermal equilibrium. An electronic digital stop watch with an uncertainty of ±0.01 s was used for the flow time measurements for each sample at least four readings were taken and then the average of these was taken.

Negative values of excess molar volume, excess isentropic compressibility and positive values of deviation in viscosity including excess Gibbs energy of activation of viscous flow at different temperatures (303.15, 308.15 and 313.15 K) may be attribution to the specific intermolecular interactions through the hetero-association interaction between the components of the mixtures, resulting in the formation of associated complexes through hydrogen bond interactions.

The excess molar volume (V^E) values were analyzed with the Prigogine–Flory–Patterson theory, which demonstrated that the free volume contribution is the one of the factors influencing negative values of excess molar quantities. The Jouyban–Acree model was used to correlate the experimental values of density, speed of sound and viscosity.

This study firstly aims to prepare a hierarchical structure of the barriers contributing to digital exclusion of women. Secondly, the study aims to understand the inter-relationship of the barriers by converting them into a cyclic flow.

Systematic review was conducted through Web of Science and EBSCO Host Discovery Services with keywords: “digital divide” OR “digital gap” OR “digital inequality” OR “online difference” AND gender AND wom?n AND factors OR “demographic factors” OR “socio-economic” OR determinants OR reasons OR causes OR influences. Review was conducted of articles published in English language after 2012. Systematic literature review was conducted in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Framework 2020. Authors reviewed 21 reports.

This research found absence of education as the root of digital exclusion of women in the hierarchy of barriers. The cyclic flow of barriers displayed that how ill education of women lead to financial and psychological dependence of women on men, creating a hurdle in women empowerment. To break the cycle of digital exclusion, women education is must not only on primary basis but their tertiary education is important too.

This study makes an important contribution by ranking those barriers in a pyramid hierarchy and depicting their inter relation by framing a cyclic structure. This study provides suggestions to remove those barriers and ultimately break their chain to provide digital inclusive society for women.

One in every four graduates of the world will be the product of Indian higher education system by the year 2030 as per a report issued by the FICCI (Federation of Indian Chambers of Commerce and Industry) in 2015. This brings out the growing significance of higher education sector and purpose of the study. The present study tries to explore the relationship between intellectual capital of universities and their performance.

Structural equation modeling (SEM) was applied on the dataset of 590 respondents, and the suggested model reiterate that human capital, organizational capital and relational capital have a significant influence on a university's performance.

Human capital, organizational capital and relational capital have a significant influence on a university's performance. The study strongly recommends that factors like research facilitation, quality of work life, knowledge sharing, industry academia relationship and information disclosure have a strong influence on performance.

Not just India, but policymakers across Brazil, Russia, India, China and South Africa (BRICS) can strategize around intellectual capital to give a push to the fast-growing higher education sector.

The purpose of this paper is to examine the relevance of information, transparency and information efficiency in short-run performance of new issues. The current research evaluates the short-run performance of IPOs during 2005-2012, which even includes the recessionary period. The present study evaluates the impact of informational variables on first-day returns.

The short-run performance of the IPOs is measured through market adjusted excess return. A structural equation model (SEM) has been designed to identify how information influences the short-run performance of IPOs.

The results of structural model reveal that the sale of promoters’ stake and underwriters’ reputation are the major contributors towards information and are found to be highly significant statistically. The model also shows that the issue size (a component of information) is statistically insignificant at 5 per cent. The model suggests that the availability of information has negative impact on the first day returns indicating that the issuer which disclose maximum information to the public get lower returns on the listing day and hence, their issues are less underpriced.

The present study has a contribution in investment decisions for global investors, as the participation of international investors is common in IPOs of emerging markets. The findings of the study are expected to be useful to the practitioners in predicting the pricing of IPOs based on the informational variables influencing their performance.

Our findings show that the academic culture is base for quality teaching and education delivery and it impacts employee experience through employee involvement in decision-making and employee engagement demonstrating benefits for universities such as increased employee attraction, higher retention, greater productivity and improved student service. Higher education institutions that offer development opportunities to their faculty are likely to have less turnover than those that do not. Globally tuned curriculum matching the expectation of students one hand and developing a conducive environment for implementing the changes on the other hand is the need of the hour. Branding and student employability needs the focus of policymakers, and it can highly impact the visibility of institute.

This research has been undertaken to examine the role of critical success factors (CSFs) for augmenting quality of higher education institutes in India. The aspects considered are: branding, employability, employee experience, student experience. The study tries to analyse their impact on overall performance. The results highlight that academic culture mediates between student experience and overall performance. The current research also indicates that academic culture mediates between employee experience and overall performance. Employee experience through academic culture emerges as a strongest predictor of overall performance. Student experience through academic culture emerges as another important predictor of overall performance. Employability was next to follow. The beta values were low for branding. The results highlight that for improving performance Indian higher educational institutes need to focus on branding. Implementing this model will enable educational institutions to focus on these predictors to boost overall performance and equip engineers with requisite skills through academic culture.

The results show that employee experience is the most importance significant performance indicator to enhance the performance of the engineering institute when academic culture is taken a mediator (Anderson et al., 1994; Owlia and Aspinwall, 1997; Pal Pandi et al., 2016). The direct effect of employee experience (Beta = 0.473) is less in comparison to the indirect effect (beta = 0.518). The student experience is also second important indicator that is very significant for the overall performance, and this level of signification is even more enhanced when academic culture acts as a mediator. On the other hand, employability of students (EM) (Ashok Pandit and Wallack, 2016) and branding (BR) play an important role to influence the overall performance of the HEIs. However, branding has least impact on the performance compared to the other indicators as it has lowest beta value (0.169). This reveals that engineering institutes need to emphasis on developing strategies to improve branding by participating in activities that enhance outreach and visibility of the institutes (Nandi and Chattopadhyay, 2011). The results of the study showed the academic culture acts as critical pathway to reach the performance peak.

Competition is spreading in the higher education sector with widespread consequences, and in order to effectively respond to the pressures, universities have to be able to draw attention and retain their precious human capital. Developing linkages for faculty and student will generate mutually beneficial sustainable outcomes. Institutes preferably be multi-disciplinary or inter-disciplinary and have both teaching and research focus of an exceptionally high quality. Developing diverse programmes and activities targeting at developing quality of mind, ethical standard, social awareness and global perspectives, let the students shape their own experience and growth. Solid linkages with industry to impart a practical dimension to technical training is must, and an effective semester internship in industry is a testimony of project-led teaching. Research excellence and quality teaching are the basis of quality education. Engagement in external collaborations that extend and deepen institution impact through increasing international engagements. In future, empirical studies can also be conducted on the AQAR model by collecting data through questionnaires based on the perception of students, and it can be tested through hypotheses employing R software to determine the extent of implementation of AQAR in EEIs in India.

The results show that employee experience is the most important significant performance indicators to enhance the performance of the engineering institute when academic culture is taken a mediator (Anderson et al., 1994; Owlia and Aspinwall, 1997; Pal Pandi et al., 2016). The direct effect of employee experience (Beta = 0.473) is less in comparison to the indirect effect (beta = 0.518). The student experience is also second important indicator that is very significant for the overall performance, and this level of signification is even more enhanced when academic culture acts as a mediator. On the other hand, employability of students (EM) (Ashok Pandit and Wallack, 2016) and branding (BR) play an important role to influence the overall performance of the HEIs; however branding has least impact on the performance compared to the other indicators as it has lowest beta value (0.169). This reveals that engineering institutes need to emphasis on developing strategies to improve branding by participating in activities that enhance outreach and visibility of the institutes (Nandi and Chattopadhyay, 2011). The results of the study showed the academic culture acts as critical pathway to reach the performance peak.

The results show that student experience is the most importance significant performance indicators to enhance the performance of the engineering institute when academic culture is taken a mediator. The direct effect of student experience (Beta = 0.101) is less in comparison to the indirect effect (beta = 0.412). The employee experience is also second important indicator that is very significant for the overall performance, and this level of signification is even more enhanced when academic culture acts as a mediator. On the other hand, employability of students (EM) (Ashok Pandit and Wallack, 2016) and branding (BR) play an important role to influence the overall performance of the HEIs; however branding has least impact on the performance compared to the other indicators as it has lowest beta value (0.169). This reveals that engineering institutes need to emphasis on developing strategies to improve branding by participating in activities that enhance outreach and visibility of the institutes (Nandi and Chattopadhyay, 2011). The results of the study showed the academic culture acts as critical pathway to reach the performance peak.