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Abstract Surface performance is critically influenced by topography in virtually all real-world applications. The current standard practice is to describe topography using one of a few industry-standard parameters. The most commonly reported number is$$R$$ $R$a, the average absolute deviation of the height from the mean line (at some, not necessarily known or specified, lateral length scale). However, other parameters, particularly those that are scale-dependent, influence surface and interfacial properties; for example the local surface slope is critical for visual appearance, friction, and wear. The present Surface-Topography Challenge was launched to raise awareness for the need of a multi-scale description, but also to assess the reliability of different metrology techniques. In the resulting international collaborative effort, 153 scientists and engineers from 64 research groups and companies across 20 countries characterized statistically equivalent samples from two different surfaces: a “rough” and a “smooth” surface. The results of the 2088 measurements constitute the most comprehensive surface description ever compiled. We find wide disagreement across measurements and techniques when the lateral scale of the measurement is ignored. Consensus is established through scale-dependent parameters while removing data that violates an established resolution criterion and deviates from the majority measurements at each length scale. Our findings suggest best practices for characterizing and specifying topography. The public release of the accumulated data and presented analyses enables global reuse for further scientific investigation and benchmarking. 

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. 

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. 

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.