The decision to sew: making face masks during the COVID-19 pandemic

References

• Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
   Web of Science ®Google Scholar
• Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324.
   Google Scholar
• Allwood, J. M., Laursen, S. E., de Rodríguez, C. M., & Bocken, N. M. (2006). Well dressed? The present and future Sustainability of Clothing and Textiles in the United Kingdom. Cambridge, UK: University of Cambridge Institute for Manufacturing.
   Google Scholar
• Burton, M., Barbour, C., Eike, R., & Hustvedt, G. (2020). The consumer’s perspective: Care and maintenance in ‘use phase’ of clothing apparel life cycle. Sustainability in Fashion, 1(1), doi:10.31274/susfashion.11521
   Google Scholar
• Centers for Disease Control and Prevention. (2021, August 13). Your Guide to Masks. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison Wesley Publishing Company.
   Google Scholar
• Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York, NY: Psychology Press.
   Google Scholar
• Fitzmaurice, J. (2005). Incorporating consumers’ motivations into the theory of reasoned action. Psychology & Marketing, 22(11), 911–929.
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
   Web of Science ®Google Scholar
• Hahn, K. H., & Bhaduri, G. (2021). Mask up: Exploring cross-cultural influences on mask-making behavior during the COVID-19 pandemic. Clothing and Textiles Research Journal, 39(4), 297–313.
   Web of Science ®Google Scholar
• Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2018). Multivariate data analysis (8th ed). Boston, MA: Cengage Learning.
   Google Scholar
• Hao, W., Xu, G., & Wang, Y. (2021). Factors influencing the filtration performance of homemade face masks. Journal of Occupational and Environmental Hygiene, 18(3), 128–138.
   PubMed Web of Science ®Google Scholar
• Hardin-Fanning, F., & Ricks, J. M. (2017). Attitudes, social norms and perceived behavioral control factors influencing participation in a cooking skills program in rural Central Appalachia. Global Health Promotion, 24(4), 43–52.
   PubMed Web of Science ®Google Scholar
• Howard, M. C. (2021). Gender, face mask perceptions, and face mask wearing: Are men being dangerous during the COVID-19 pandemic? Personality and Individual Differences, 170, 110417.
   PubMed Web of Science ®Google Scholar
• Jain, A. (2021). Influence of consumption behaviours, attitudes and barriers toward clothing repair [Master thesis, University of Alberta]. doi:10.7939/r3-bekh-ry58
   Google Scholar
• Jin, B., & Kang, J. H. (2010). Face or subjective norm? Chinese college students’ purchase behaviors toward foreign brand jeans. Clothing and Textiles Research Journal, 28(3), 218–233.
   Web of Science ®Google Scholar
• Kaiser, S. B. (1998). Fashion as communication/dress codes: Meanings and messages in American culture. Contemporary Sociology, 27(1), 76.
   Web of Science ®Google Scholar
• Kim, H., & Karpova, E. (2010). Consumer attitudes toward fashion counterfeits: Application of the theory of planned behavior. Clothing and Textiles Research Journal, 28(2), 79–94.
   Web of Science ®Google Scholar
• Kipp, C., & Ahram, Y. (2021). Sustainability and mask making. The Journal of Modern Craft, 14(1), 13–17.
   Web of Science ®Google Scholar
• Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed). New York, NY: The Guilford Press.
   Google Scholar
• Kraft, F. B., & Goodell, P. W. (1993). Identifying the health conscious consumer. Marketing Health Services, 13(3), 18.
   Google Scholar
• LaBat, K., Salusso, C., & Rhee, J. (2007). Home sewers’ satisfaction with fit of apparel patterns. Journal of Fashion Marketing and Management: An International Journal, 11(3), 429–440.
   Google Scholar
• Laitala, K., & Klepp, I. G. (2018). Care and production of clothing in Norwegian homes: Environmental implications of mending and making practices. Sustainability, 10(8), 2899.
   Web of Science ®Google Scholar
• Lamb, J. M., & Kallal, M. J. (1992). A conceptual framework for apparel design. Clothing and Textiles Research Journal, 10(2), 42–47.
   Google Scholar
• Lautenschlager, L., & Smith, C. (2007). Understanding gardening and dietary habits among youth garden program participants using the Theory of Planned Behavior. Appetite, 49(1), 122–130.
   PubMed Web of Science ®Google Scholar
• Lyu, J., Hahn, K., & Sadachar, A. (2018). Understanding millennial consumer’s adoption of 3D printed fashion products by exploring personal values and innovativeness. Fashion and Textiles, 5(1), 1–24.
   Google Scholar
• Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3–9.
   Web of Science ®Google Scholar
• Martindale, A., & McKinney, E. (2018). Sew or purchase? Home sewer consumer decision process. Journal of Fashion Marketing and Management: An International Journal, 22(2), 176–188.
   Google Scholar
• Martindale, A. K., Armstead, C., & McKinney, E. (2021). ‘I’m not a doctor, but I can sew a mask’: The face mask home sewing movement as a means of control during the COVID-19 pandemic of 2020. Craft Research, 12(2), 205–222.
   Web of Science ®Google Scholar
• Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4(4), 229–242.
   Web of Science ®Google Scholar
• Moorman, C., & Matulich, E. (1993). A model of consumers’ preventive health behaviors: The role of health motivation and health ability. Journal of Consumer Research, 20(2), 208–228.
   Web of Science ®Google Scholar
• Norum, P. S. (2013). Examination of apparel maintenance skills and practices: Implications for sustainable clothing consumption. Family and Consumer Sciences Research Journal, 42(2), 124–137.
   Google Scholar
• Orzada, B. T., & Kallal, M. J. (2021). FEA consumer needs model: 25 years later. Clothing and Textiles Research Journal, 39(1), 24–38.
   Web of Science ®Google Scholar
• Park, J., & Ha, S. (2014). Understanding consumer recycling behavior: Combining the theory of planned behavior and the norm activation model. Family and Consumer Sciences Research Journal, 42(3), 278–291.
   Google Scholar
• Pöllänen, S. (2015). Elements of crafts that enhance well-being: Textile craft makers’ descriptions of their leisure activity. Journal of Leisure Research, 47(1), 58–78.
   Web of Science ®Google Scholar
• Richards, M. B., & Perreault, M. F. (2021). Sewing self-efficacy: Images of women’s mask-making in Appalachia during the COVID-19 pandemic. Survive & Thrive: A Journal for Medical Humanities and Narrative as Medicine, 6(1), 13.
   Google Scholar
• Rogers, E. M., & Shoemaker, F. F. (1971). Communication of innovation: A cross-cultural approach. New York, NY: Free Press.
   Google Scholar
• Schofield-Tomschin, S., & Littrell, M. A. (2001). Textile handcraft guild participation: A conduit to successful aging. Clothing and Textiles Research Journal, 19(2), 41–51.
   Google Scholar
• Sung, K., Cooper, T., & Kettley, S. (2019). Factors influencing upcycling for UK makers. Sustainability, 11(3), 870.
   Web of Science ®Google Scholar
• Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220.
   Web of Science ®Google Scholar
• Watts, L., & Chi, T. (2019). Key factors influencing the purchase intention of activewear: An empirical study of US consumers. International Journal of Fashion Design, Technology and Education, 12(1), 46–55.
   Google Scholar