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This study aims to investigate the impact of the two essential subjects of servitization (service and goods innovation) on customer satisfaction. The authors explained the paradox of servitization by determining how service innovation and goods innovation affect customer satisfaction interacting with environmental turbulence and marketing intensity.

The authors obtained 376 observations of 84 listed Chinese companies. On the basis of content analysis and measurement from secondhand data, the authors first tested the hypotheses in the fixed-effects model. The authors conducted a split-sample analysis by dividing environmental turbulence into two samples to explain the results effectively and better interpret the relationship between two innovations to customer satisfaction.

The results show that goods and service innovations positively affect customer satisfaction, but the effect of service innovation is more substantial. Furthermore, environmental turbulence negatively moderates the relationship between service innovation and customer satisfaction. The empirical results indicated that, if enterprises enhance marketing intensity, then the growth of environmental turbulence weakens the positive impact of goods and services innovation on customer satisfaction.

This study provided an understanding of the impact of servitization on intangible assets. This study also responded to previous literature’s call for research on the impact of external environmental factors on servitization.

This study aims to investigate the relationship between emergency response times and crash severity in New York City, focusing on spatial disparities and their implications. It examines how these disparities impact disadvantaged neighborhoods, particularly regarding traffic safety and emergency service accessibility.

The research uses comprehensive spatial analysis techniques, including hotspot mapping, network analysis for travel time modeling, local bivariate correlation analysis and service area calculations. It maps crash data alongside emergency facility locations, considering peak-hour traffic. The Area Deprivation Index (ADI) is integrated to evaluate socioeconomic factors influencing accessibility. This approach provides a nuanced understanding of how emergency response times correlate with crash severity at the census block level, accounting for socioeconomic disparities.

This study reveals significant disparities in emergency response times across New York City. In high-poverty, predominantly minority areas, response times are 2–3 min longer than average, correlating with a 15% increase in severe injury rates. Over 20% of neighborhoods show correlations between response times and crash severity, with positive linear (5.51%), negative linear (10.72%), concave (2.44%) and convex (2.80%) relationships. Blocks with positive linear relationships have a mean ADI rank of 3.918. During peak hours, 69.7% of Manhattan blocks show negative relationships, the highest among boroughs.

This research highlights spatial justice issues in urban emergency response systems, emphasizing the need for localized, data-driven planning and infrastructure adjustments. By integrating the ADI, the multifaceted approach reveals the complex dynamics of socioeconomic factors and emergency service accessibility that have not yet been investigated in diverse urban communities.