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The aim of this paper is to synthesize knowledge related to performance evaluation of automated construction processes during the planning and execution phases through a theme-based literature classification. The primary research question that is addressed is “How to quantify the performance improvement in automated construction processes?”

A systematic literature review of papers on automated construction was conducted involving three stages-planning, conducting and reporting. In the planning stage, the purpose of the review is established through key research questions. Then, a four-step process is employed consisting of identification, screening, shortlisting and inclusion of papers. For reporting, observations were critically analysed and categorized according to themes.

The primary conclusion from this study is that the effectiveness of construction processes can only be benchmarked using realistic simulations. Simulations help to pinpoint the root causes of success or failure of projects that are either already completed or under execution. In automated construction, there are many complex interactions between humans and machines; therefore, detailed simulation models are needed for accurate predictions. One key requirement for simulation is the calibration of the models using real data from construction sites.

This study is based on a review of 169 papers from a database of peer-reviewed journals, within a time span of 50 years.

Gap in research in the area of performance evaluation of automated construction is brought out. The importance of simulation models calibrated with on-site data within a methodology for performance evaluation is highlighted.

Social health insurance framework of any country is the national identifier of the country’s policy for taking care of its population which cannot access or afford quality healthcare. The purpose of this paper is to highlight the strategic imperatives of digital technology for the inclusive social health models for the BoP customers.

A qualitative exploratory study using in-depth personal interviews with 53 Indian health insurance CXOs was conducted with a semi-structured questionnaire. Using MaxQDA software, the interview transcripts were analyzed by means of thematic content analysis technique and patterns identified based on the expert opinions.

A framework for the strategic imperatives of digital technology in social health insurance emerged from the study highlighting three key themes for technology implementation in the social health insurance sector – analytics for risk management, cost optimization for operations and enhancement of customer experience. The study results provide key insights about how insurers can enhance the coverage of BoP population by leveraging technology.

The framework would help health insurers and policymakers to select strategic choices related to technology that would enable creation of inclusive health insurance models for BoP customers.

The absence of specific studies highlighting the strategic digital imperatives in social health insurance creates a unique value proposition for this framework which can help health insurers in developing a convergence in their risk management and customer delight objectives and assist the government in the formulation of a sustainable social health insurance framework.