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This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.

This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.

Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.

This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.

Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.

The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.

This conceptual article’s primary aim is to identify the significant stakeholders of the digital identity system (DIS) and then highlight the impact of artificial intelligence (AI) on each of the identified stakeholders. It also recommends vital points that could be considered by policymakers while developing technology-related policies for effective DIS.

This article uses stakeholder methodology and design theory (DT) as a primary theoretical lens along with the innovation diffusion theory (IDT) as a sub-theory. This article is based on the analysis of existing literature that mainly comprises academic literature, official reports, white papers and publicly available domain experts’ interviews.

The study identified six significant stakeholders, i.e. government, citizens, infrastructure providers, identity providers (IdP), judiciary and relying parties (RPs) of the DIS from the secondary data. Also, the role of IdP becomes insignificant in the context of AI-enabled digital identity systems (AIeDIS). The findings depict that AIeDIS can positively impact the DIS stakeholders by solving a range of problems such as identity theft, unauthorised access and credential misuse, and will also open a possibility of new ways to empower all the stakeholders.

The study is based on secondary data and has considered DIS stakeholders from a generic perspective. Incorporating expert opinion and empirical validation of the hypothesis could derive more specific and context-aware insights.

The study could facilitate stakeholders to enrich further their understanding and significance of developing sustainable and future-ready DIS by highlighting the impact of AI on the digital identity ecosystem.

To the best of the authors’ knowledge, this article is the first of its kind that has used stakeholder theory, DT and IDT to explain the design and developmental phenomenon of AIeDIS. A list of six significant stakeholders of DIS, i.e. government, citizens, infrastructure providers, IdP, judiciary and RP, is identified through comprehensive literature analysis.

The purpose of this paper is to attempt to fill the need to identify critical information security issues at national level, both technical and social in the Indian context, and create a framework of these issues to provide interesting managerial insights about their hierarchy. Current literature advocates relevance of both technical and social issues in a potential framework to address national and organizational information security concerns. Such a framework can guide users in developing insight for strategy in the maize of important information security issues and their intricate interdependency.

Delphi methodology is used to identify a set of topical issues with help from members of a cyber security group. These issues are further analyzed using Interpretive Structural Modeling (ISM) to impose order and direction to the complex relationships among them.

The analysis using ISM creates a framework of these issues and provides interesting managerial insights about their hierarchy. These insights are used to recommend prioritized action for information security at national and organizational levels.

The highlight of this research is ingenious deployment of two idea engineering methods in developing interpretable structural model of 25 information security issues. This model provides valuable insights and can guide the policy formulation. This is the key contribution of this paper. It needs hardly any emphasis on the need for continuous search of all technical and social issues and formulating policies and programs using experts” judgment in a rigorous manner. Subsequent research may scale up to the global level for extension and validation by empanelling Delphi experts from nations belonging to different regions. Time-variant analysis can be attempted with the help of System Dynamics Modeling using causal-loop diagrams to account for the supportive and inhibiting influences of various issues. This approach has the potential to generate more realistic insights that can inform policy formulation.

It brings about key information security issues connected with its various facets, viz. national/organizational level initiatives, supportive processes, capabilities and objectives. These issues, identified by Indian experts in the Indian context, offer a method that one could apply in other national contexts and see whether substantial differences occur, and how other experts prioritize these issues. The analysis of social issues along with technical issues using the ISM tool provides us insights that are considered applicable to a larger context than India. The policy and program formulations in other nations can benefit from the insights generated by this research. The fast-paced proliferation of technology and its resultant vulnerabilities have given birth to an underground economy of malware trading by criminals, terrorists and hostile nation states. Secure cyber space for legitimate use by the globalized world can only be achieved by international cooperation.

A “digital divide” in cyber defense cannot be afforded. As explained earlier, cyber security is a challenge for both developed and developing nations. Prioritization of resources in a sequence suggested by ISM analysis would help face the challenge of cyber security better. The methodology suggested in this paper would ensure adequate response to cyber threats and eliminate knee-jerk reaction.

This research emphasizes identification of hierarchical relationship among the identified topical issues of information security rather than using them as a flat checklist. It helps us segregate the end objectives from root issues and highlights the necessity of addressing these root issues to achieve those objectives.

This paper aims to review the licensing in India, including the development of universal licences and of the now infamous 2G spectrum scam.

This paper is a case study drawing on a side range of official documents, including inquiry reports, policies, licences and court judgements.

Liberalisation of the sector introduced opportunities for lobbying and corruption that lead to very unusual market structures, with many operators and too little spectrum.

Interviews with the principals were impossible.

It is now necessary for the government to adopt good governance processes, especially in respect of 4G and th inevitable consolidation of operators in a fair and equitable manner.

The governance systems are incapable of controlling the corruption in the telecommunications sector and require substantial redesign.

The paper is the first to relate corporate political activity and corruption to outcomes in the telecommunications sector in India.

This paper seeks to argue against the conventional wisdom in the current TQM literature that hierarchy is not conducive for TQM. It aims to identify the cultural dynamics that can aid TQM implementation in a hierarchical country like India.

The paper reflects on the existing literature on culture and TQM and develops a mechanism that explains why hierarchy hinders TQM implementation in Western culture and how it can support TQM implementation in Indian culture.

In a people oriented culture like those of Japan and India, nurturance is the juice that sustains hierarchy that finally morphs into collectivism. In these social systems, there need not be conflicting impact of hierarchy and collectivism on TQM implementation if the nurturance aspect of hierarchy is understood. Thus, in the Indian context, hierarchy, operationalised through the guru‐shishya (teacher‐student) relationship between the boss and the subordinate can develop a learning orientation among the organisational members and facilitate TQM implementation. Similarly, by superimposing the element of “equity” on the “personalised relationship” dimension of hierarchy, in a collectivistic society like India, it is possible to elevate the aspect of “personalised relationship” between superior and subordinate to the status of “individualised consideration” dimension of transformational leadership provided it is bestowed only upon the satisfactory completion of “task” by the subordinate.

This paper shows how the cultural aspect of TQM implementation should be handled in a high power distance country like India.

The paper identifies the two Indian cultural aspects that can facilitate TQM implementation in India notwithstanding the hierarchical Indian values.

The reduction in under nutrition is very slow in the past two decades in India even with high-economic growth rate and expansion in the ICDS programme. The ICDS evaluation studies majorly stressed on the general factors but they fail to acknowledge the structural factors - class and caste - while providing solutions. In Tamil Nadu nutritional status and utilization of ICDS services are better as compared to all-India average. The purpose of this paper is to explore the nutritional status of the poor and scheduled caste (SC) in Tamil Nadu and their utilization of ICDS services and to examine the role of group-specific factors in low reduction of nutritional status and utilization of ICDS programme.

Multivariate analysis and logistic regression method were used using SPSS.

The reduction of underweight is slow among the poorest and SC, moreover, the disparity between the richest and poorest as well as upper caste and SC is increasing. Logistic regression analysis shows that the poorest are marginalized, children belonging to poorer income group have higher chances of using the ICDS than the poorest and it is significant. After making the wealth quintile constant, the utilization of ICDS services across social groups showed that, though the poorest quintile has less access, within them the SC had utilized less compared to the other backward class (OBC). This indicates the poorest SCs are more vulnerable and marginalized across all quintiles and social groups.

In Tamil Nadu there is no sufficient sample of other caste/tribe and scheduled tribe. It would have given more insight on the utilization pattern. Lack of qualitative data has limited in explaining few phenomena to get more insight.

It will help the government to formulate more inclusive policy and address the issue of exclusion of marginalized people.

The main core argument was based on the Tamil Nadu National Family Health Survey (NFHS) III unit-level data.