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The total service quality paradigm has been slow in diffusing to the health service domain, and TQM techniques are even less widely used to govern primary health services in the developing world. This interdisciplinary work analyzes the design of a TQM‐based quality assessment tool (PQAT) used to evaluate quality of care in family planning programmes in Africa, Asia, and the South Pacific. It shows how family planning service quality models have failed to keep pace with advances in management theory, introduces the process theory model to overcome the limitations of the variance model, and grounds the tool in the context of quality theory. The paper goes on to report results from field use of the PQAT in three widely varying sites in the Asia Pacific region, and to draw useful conclusions for primary health researchers and practitioners.

The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption.

This research uses Google Trends to characterize the community’s interest in big data. Community interest is measured on a scale of 0–100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry.

The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%.

To the best of the author’s knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.