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Despite technological advancements to enhance patient health, the risks of not discovering the correct interactions and trends in digital health are high. Hence, a careful policy is required for health coverage tailored to needs and capacity. Therefore, this study aims to explore the adoption of a cognitive computing decision support system (CCDSS) in the assessment of health-care policymaking and validates it by extending the unified theory of acceptance and use of technology model.

A survey was conducted to collect data from different stakeholders, referred to as the 4Ps, namely, patients, providers, payors and policymakers. Structural equation modelling and one-way ANOVA were used to analyse the data.

The result reveals that the behavioural insight of policymakers towards the assessment of health-care policymaking is based on automatic and reflective systems. Investments in CCDSS for policymaking assessment have the potential to produce rational outcomes. CCDSS, built with quality procedures, can validate whether breastfeeding-supporting policies are mother-friendly.

Health-care policies are used by lawmakers to safeguard and improve public health, but it has always been a challenge. With the adoption of CCDSS, the overall goal of health-care policymaking can achieve better quality standards and improve the design of policymaking.

This study drew attention to how CCDSS as a technology enabler can drive health-care policymaking assessment for each stage and how the technology enabler can help the 4Ps of health-care gain insight into the benefits and potential value of CCDSS by demonstrating the breastfeeding supporting policy.

Self-help groups (SHGs) have widely been accepted by developing nations for their contribution to inclusive development. Despite its importance and the recognition of the same, SHGs and their members face several challenges. The purpose of this paper is to comprehensively investigate the inhibiting factors affecting the effectiveness of women SHGs. The paper also proposes a roadmap for all the self-help promoting institutions, such as banks, state and central government, and non-government organizations to address the challenges.

The study adopts an exploratory research design to undertake this applied research. It uses phenomenographic and interpretative approaches. Qualitative data have been collected from 24 members belonging to eight SHGs from the eastern Indian state of Odisha with the help of a semi-structured interview schedule. The result has been analyzed by using content analysis.

The study finds that SHG members in Odisha face several challenges in the form of financial bottlenecks, entrepreneurial obstacles, capacity-building impediments, mentor-ship challenges, socio-structural challenges and group dynamics.

The study finds many unique and contextual inhibiting factors, which are valuable additions to the existing literature. At the same time, the result may not be applicable to other kinds of SHGs, such as Alcoholic Anonymous, as their nature, composition and deliverables are quite different from the SHG that the current study has taken into consideration.

The proposed roadmap would be useful to policymakers, non-government organizations and other agencies involved in the promotion and capacity building of SHGs operating in Odisha in particular and India in general.

The literature is mainly concerned with the impact evaluation of SHG programs. This study investigates the challenges faced by SHGs in a systematic way and provides a roadmap to address the same in a comprehensive way.

This study extends the literature on the effectiveness of e-learning by investigating the role of student engagement on perceived learning effectiveness (PLE) in the context of Indian higher education. Further, the impact of personal factors (Internet self-efficacy (ISE)) and environmental factors (information, system and service quality parameters) on various dimensions of student engagement (behavioral, emotional and cognitive) is studied through the lens of social cognitive theory (SCT).

An online management information systems (MIS) course is delivered to a batch of 412 postgraduate students. An online survey was conducted to measure the factors affecting their PLE. In addition to the survey, a summative assessment is conducted to evaluate the students in terms of their marks to assess their achievements (actual learning). Covariance-based structural equation modeling (CB-SEM) is used to validate the developed research model.

It is discovered that the IS (information system) quality parameters (environmental factors) positively impact PLE. The ISE affects the PLE through the mediating effect of all the dimensions of student engagement. Furthermore, there exists a positive relationship between PLE and student marks.

This study develops a research model using personal and environmental factors to understand PLE through the lens of SCT and then empirically validates it. The psychological process from the students' ISE to the PLE is explained through the mediating effects of various dimensions of engagement. Further, it is found that the PLE is positively related to student marks.

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.

A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.

Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.

The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).

Email spam classification is now becoming a challenging area in the domain of text classification. Precise and robust classifiers are not only judged by classification accuracy but also by sensitivity (correctly classified legitimate emails) and specificity (correctly classified unsolicited emails) towards the accurate classification, captured by both false positive and false negative rates. This paper aims to present a comparative study between various decision tree classifiers (such as AD tree, decision stump and REP tree) with/without different boosting algorithms (bagging, boosting with re-sample and AdaBoost).

Artificial intelligence and text mining approaches have been incorporated in this study. Each decision tree classifier in this study is tested on informative words/features selected from the two publically available data sets (SpamAssassin and LingSpam) using a greedy step-wise feature search method.

Outcomes of this study show that without boosting, the REP tree provides high performance accuracy with the AD tree ranking as the second-best performer. Decision stump is found to be the under-performing classifier of this study. However, with boosting, the combination of REP tree and AdaBoost compares favourably with other classification models. If the metrics false positive rate and performance accuracy are taken together, AD tree and REP tree with AdaBoost were both found to carry out an effective classification task. Greedy stepwise has proven its worth in this study by selecting a subset of valuable features to identify the correct class of emails.

This research is focussed on the classification of those email spams that are written in the English language only. The proposed models work with content (words/features) of email data that is mostly found in the body of the mail. Image spam has not been included in this study. Other messages such as short message service or multi-media messaging service were not included in this study.

In this research, a boosted decision tree approach has been proposed and used to classify email spam and ham files; this is found to be a highly effective approach in comparison with other state-of-the-art modes used in other studies. This classifier may be tested for different applications and may provide new insights for developers and researchers.

A comparison of decision tree classifiers with/without ensemble has been presented for spam classification.

The paper explores the importance of mobile technology to enable diffusion of agriculture-related knowledge among farmers in India. The purpose of the paper is to evaluate the current socio-economic factors and challenges that impact the feasibility of m-governance project. The authors intend to explore different behavioral aspects of farmers, specifically their information seeking behavior to understand their communication ecosystem.

The authors have used multiple methods to analyze the significance of m-governance in current social dynamics. To achieve in depth understanding of farmer’s attitudes and opinion, the authors have conducted semi-structured interviews with farmers. The authors have also applied experimental observations to evaluate the actual effectiveness of information dissemination and the social dynamics behind the process. The secondary/archival data was also collected from the government offices and non-governmental organizations.

Findings explore the pattern of mobile usage among the farmers which could lead to interesting implications for the design and implementation of future m-governance projects. The research has also drawn some interesting implication on the feasibility of m-governance project.

Because the findings are co-related with the prevalent socio-cultural dynamics, testing the findings in different context might add value to the proposed theory and its implications.

Considering the need and significance of agriculture-based reforms in rural India, present study offers guidance in devising an efficient communication medium among farmers and government. The authors infer from our field observations that the communication platform is vital for successfully reaching farmers for their overall welfare. The present work is based on findings which are drawn from the ground reality which helps in explicating inferences which are useful for implementation purpose.

The purpose of this paper is to propose a tool in the form of a roadmap for planning and implementation of interoperability capabilities. The issue of interoperability is gaining importance for offering services as “one-stop shop” due to rapid developments in the field of e-government in recent times. Several complexities are associated with this important dimension, and there is an urgent need for developing a tool to facilitate rollout of e-government projects with interoperability capabilities. The proposed roadmap can enable knowledge sharing among key stakeholders for building a common vision and contribute to planning and implementation of interoperability features of e-government.

The paper is an exploratory study using the phenomenographic interpretive approach. The literature review identifies the facets and the issues that are crucial for facilitating interoperability. The status of interoperability in some of the developed countries is reviewed where e-government is in a relatively mature stage. Based on the review, this paper identifies an initial set of issues that can guide semi-structured interviews with policymakers, partners and the government agencies implementing e-government projects. The views of these key stakeholders are then analyzed and used for developing the roadmap for implementation of interoperability of e-government services. The findings are then mapped in India’s context for triangulation purpose.

The paper provides insights into various planning and implementation issues that have to be addressed for building interoperability capability. A roadmap is proposed encompassing the essential legal, regulatory, organizational and technical aspects that are deemed essential for successful planning and implementation of interoperability capability.

The study has the limitation that the exploratory part of the study is based on inputs from key actors in the Indian context only. It needs to be validated by empirical studies in various contexts.

The roadmap proposed will be useful for the policymakers, as it can guide them for planning and implementing e-government systems with interoperability capabilities. It can be used as a knowledge-sharing tool for spreading awareness of steps required for designing and implementing interoperability capabilities.

The paper contributes by providing a tool in the form of a roadmap that can be used by the policymakers and implementers to take a holistic view of requirements for development of interoperability capabilities. The paper can form the basis for future research in specific issues of interoperability.