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Small-sized apparel manufacturing businesses who operate apparel design, development, and production businesses often experience inadequate knowledge in navigating the complex apparel industry. Key concepts in social capital theory suggest that social interactions and people-oriented organizational cultures advance knowledge sharing and network ties. This mixed method exploration of small-sized Colorado-based apparel manufacturers sought to address the research question: Is external knowledge available, and if so, do aspects of social capital play a role in the process? Study 1 involved a qualitative investigation with interviews and business documents suggesting low levels of knowledge sharing, and challenges in learning aspects of the industry. For Study 2, a quantitative analysis was conducted using stepwise multiple regression with independent variables measured by Likert-like scales involving knowledge absorptive capacity, social interaction, and people-oriented organizational culture. Network ties was the dependent variable. All three variables significantly explained networking ties. Exploratory findings provide both theoretical and pragmatic applications. 

Individuals who launch entrepreneurial apparel design, development, and production businesses often experience start-up difficulties associated with resource availability and constraints, as well as incomplete knowledge and perceptions of opportunities in the apparel industry. We examine the concept of embeddedness as a mechanism for accessing resources and for addressing information gaps. This empirical research uses Giddens’ theory of structuration to investigate the conception of entrepreneurship, involved in regional apparel design, development, and production, as an embedded socio-economic process. Application of structuration enables exploration of the link between entrepreneurship (as agent) and the context (as structure); thus, allowing study of how social structures affect or encourage entrepreneurial activity. Qualitative methodology was employed as the objectives were to explore and understand the relationships acquired rather than to measure. Drawing evidence from a longitudinal study of three regional supporting structures and their impact on three entrepreneurial apparel design, development, and production businesses, This research presents an initial investigation into embeddedness over time. 

The movement of apparel and soft goods manufacturing to overseas resulting in US apparel production industries having limited systems of knowledge transfer and sharing resources in reshoring of production. Network provide a natural organizing concept to examine this problem. This qualitative study involved interviews, observation, and examination of organizational documents for apparel manufacturing investors/owners, production managers and workers, produce development entrepreneurs, key national manufacturing executives, equipment and raw material suppliers, education/training providers, manufacture publishing, community development and leaders in state government, and non profit agencies. Common interest in advancement of reshoring production has generated rural/urban alliances and enhanced well-being. 

Eclipsing binaries are important benchmark objects to test and calibrate stellar structure and evolution models. This is especially true for binaries with a fully convective M-dwarf component for which direct measurements of these stars’ masses and radii are difficult using other techniques. Within the potential of M-dwarfs to be exoplanet host stars, the accuracy of theoretical predictions of their radius and effective temperature as a function of their mass is an active topic of discussion. Not only the parameters of transiting exoplanets but also the success of future atmospheric characterization relies on accurate theoretical predictions. We present the analysis of five eclipsing binaries with low-mass stellar companions out of a subsample of 23, for which we obtained ultra-high-precision light curves using the CHEOPS satellite. The observation of their primary and secondary eclipses are combined with spectroscopic measurements to precisely model the primary parameters and derive the M-dwarfs mass, radius, surface gravity, and effective temperature estimates using the PYCHEOPS data analysis software. Combining these results to the same set of parameters derived from TESS light curves, we find very good agreement (better than 1 per cent for radius and better than 0.2 per cent for surface gravity). We also analyse the importance of precise orbits from radial velocity measurements and find them to be crucial to derive M-dwarf radii in a regime below 5 per cent accuracy. These results add five valuable data points to the mass–radius diagram of fully convective M-dwarfs.