About

Marguerite Moore is a professor at the Wilson College of Textiles at North Carolina State University. She worked in the private and public sectors until 1998, when she began her academic career. She earned her Ph.D. from the University of Tennessee in 2002, where her research focused on strategic management and technology adoption among U.S. retail firms. Her first academic appointment was in the College of Hospitality, Retail and Sports Management at the University of South Carolina. In 2008, she joined NC State as an Associate Professor in the Management area of the Wilson College of Textiles. Her teaching and research primarily involve marketing research applications within the apparel and textiles industries. She teaches courses such as Principles of Retail and Supply Chain Management in Textiles, Fashion and the Consumer, Advanced Brand Management and Marketing in Textiles, and Marketing Research in Textiles. Her personal research interest is in using secondary data to inform marketing decisions in quick-moving environments. Her expertise includes brand management, marketing strategy, and the application of research methods to global branding and marketing within the textile and apparel sectors.

Research topics

• Computer Science
• Business
• Psychology
• Microeconomics
• Advertising
• Economics
• Marketing
• Industrial organization
• Finance
• Human–computer interaction

Selected publications

• Promoting Sustainable Consumption: The Roles of Consumers’ Domain-Specific Environmental Knowledge and Personality Traits

  Sustainability · 2024-01-07 · 10 citations

  articleOpen access

  Environmental sustainability, a pivotal facet of sustainable development, is explicitly emphasized and advocated. The textile and apparel (T&A) industry, which is resource-intensive, faces challenges in transitioning toward an ecologically friendly market. The shift toward sustainability is causing significant changes in consumer lifestyles and cultural practices, resulting in increased uncertainty in pro-environmental behaviors. This study adapts the environmentally responsible behavior (ERB) model to investigate how consumers’ subjective and objective domain-specific environmental knowledge (SUEK and OBEK) and personality traits—including personal environmental responsibility (PER), eco-centric and anthropocentric environmental beliefs (EEBs and AEBs), and internal and external environmental loci of control (IN-ELOC and EX-ELOC)—influence sustainable consumption intention (SCI) for T&A products. The data from 212 completed online survey questionnaires were analyzed using a two-stage partial least squares structural equation modeling (PLS-SEM) approach. The findings reveal that participants’ SUEK related to the T&A industry, and their PER and EEBs positively influence their SCI for T&A products. This research contributes to the literature on consumer SCI in the T&A industry and adds value to the existing ERB model, providing insights for brands, retailers, educators, policymakers, and stakeholders striving for a more sustainable industry.

  PublisherOA PDFDOI

• Promoting Sustainable Consumption: The Roles of Consumers’ Domain-specific Environmental Knowledge and Personality Traits

  2024-01-20 · 1 citations

  article

  The resource-intensive textile and apparel (T&A) industry confronts challenges in transitioning towards an ecologically friendly market. The shift towards sustainability is causing substantial changes in consumer lifestyles and cultural practices, resulting in increased uncertainty in pro-environmental consumer behaviors. Adapting the Environmentally Responsible Behavior model, this study aims to investigate the influence of consumers' subjective and objective domain-specific environmental knowledge (SUEK and OBEK) and personality traits - including personal environmental responsibility (PER), eco-centric and anthropocentric environmental beliefs (EEB and AEB), as well as internal and external environmental locus of control (IN-ELOC and EX-ELOC) - on sustainable consumption intention (SCI) for T&A products. The findings reveal that participants' SUEK related to the T&A industry, their PER and EEB positively influenced their SCI for T&A products. This research contributes to literature on consumers' SCI in the T&A industry, providing insights for brands, retailers, educators, policymakers, and stakeholders striving for a more sustainable industry.

  PublisherDOI

• Development of Eco-Friendly Soy Protein Fiber: A Comprehensive Critical Review and Prospects

  Fibers · 2024-03-30 · 20 citations

  articleOpen access

  In the first half of the twentieth century, scientific communities worldwide endeavored to diminish dependence on expensive and scarce animal fibers like wool and silk. Their efforts focused on developing regenerated protein fibers, including soy, zein, and casein, to provide comparable benefits to natural protein fibers, such as lustrous appearance, warmth, and a soft feel. The popularity and cost-effectiveness of mass-produced petroleum-based synthetic polymer fibers during World War II diminished interest in developing soy protein fiber. Realizing the ecological degradation caused by fossil fuels and their derived products, a renewed drive exists to explore bio-based waste materials like soy protein. As a fast-growing crop, soy provides abundant byproducts with opportunities for waste valorization. The soybean oil extraction process produces soy protein as a byproduct, which is a highly tunable biopolymer. Various functional groups within the soy protein structure enable it to acquire different valuable properties. This review critically examines scholarly publications addressing soy protein fiber developmental history, soy protein microstructure modification methods, and soy protein fiber spinning technologies. Additionally, we provide our scientific-based views relevant to overcoming the limitations of previous work and share prospects to make soy protein byproducts viable textile fibers.

  PublisherOA PDFDOI

• A New Era in Fashion: Analyzing Print-on-Demand Online Business Models

  SSRN Electronic Journal · 2024-01-01

  preprintOpen access
  PublisherDOI

• The effect of technology driven mergers and acquisitions on firm performance in the U.S. textile industry

  Journal of the Textile Institute · 2022-09-21 · 2 citations

  articleOpen accessSenior author

  To maintain the pace of innovation and survive in today’s competitive global market, a growing number of textile companies are acquiring technology assets strategically through mergers and acquisitions (M&A). This study examines how technology-driven M&A affects firm performance in the U.S. textile industry using U.S. patent and stock market data spanning a 35-year timeframe (1980–2015). The study primarily compares technology-driven M&A stock performance with its non-technology-driven counterpart. The results suggest that technology-driven M&A lead to significantly improved stock performance immediately following the M&A announcement, whereas non-technology-driven M&A negatively impact acquiring firms’ stock market performance in both the short and long terms. This study provides direct insight into the impact of technological acquisition on shareholder value in the U.S. textile industry.

  PublisherOA PDFDOI

• The Effects of CSR Performance and Price on Consumer Purchase Decisions: A Moderated Mediation Analysis

  SSRN Electronic Journal · 2022-01-01

  articleOpen accessSenior author
  PublisherDOI

• Profiling Digital Printing Technology Adoption in the Fashion Industry: A New Approach to Exploring Innovation Diffusion

  International Journal of Innovation and Technology Management · 2021-12-22 · 4 citations

  articleSenior author

  Digital printing technology (DPT) represents a core innovation that is currently revolutionizing the global decorated apparel market by automating the printing process, facilitating customization, and reducing energy costs and production lead time. However, the fundamental understanding of the emerging DPT market remains unexplored due to its novelty. This study aims to identify DPT diffusion patterns over the past decade in the U.S. market and establish a predictive user profile employing social media-based analytics along with data mining and traditional statistical modeling. A proxy variable is used to measure likely adoption which reflects an S-shaped diffusion curve consistent with Diffusion of Innovations Theory. Additionally, the outcome profile suggests that likely DPT adopters reside in locations that reflect higher levels of education (bachelor’s degrees or higher), relatively young populations (i.e. between 19–34 years of age), proportionately higher incomes generated from art and design occupations, but with lower household annual incomes.

  PublisherDOI

• Establishing Operational Norms for Labor Rights Standards Implementation in Low-Cost Apparel Production

  Sustainability · 2021-11-02 · 3 citations

  articleOpen access

  Low-cost production has driven many global apparel brands and retailers to source apparel from less developed countries. However, low-cost apparel production is often accompanied by labor rights violations. A persistent pattern of labor rights violations exists in the global apparel supply chains, including minimum wage violations, unpaid overtime, forced overtime, worker abuse, restricting workers’ unions, and many other violations. Research suggests that low-cost pressures restrict factory level resources, which often leads to labor rights violations in global apparel supply chains. To date, academics and practitioners remain unaware of the actual cost of implementing labor rights standards in factories. We sought to establish a baseline taxonomy of the fundamental cost-bearing activities required to provide a safe and ethical factory workplace. A Delphi survey was adopted to capture data from an expert group of experienced factory compliance auditors in Asian apparel production. The research provides practical insights for factory adoption of actions that can improve enforcement of multiple labor standards, as well as specific actions required to enforce unique requirements that arose in our analysis.

  PublisherOA PDFDOI

• Consumer store experience through virtual reality: its effect on emotional states and perceived store attractiveness

  Fashion and Textiles · 2021 · 65 citations

  • Computer Science
  • Advertising
  • Psychology

  Abstract Based on the stimuli-organism-response model, this study aims to examine whether consumers’ store experience through virtual reality (VR), compared to website experience, can attract them enough to perceive the online store as appealing. Two types of stimuli were developed for the experiments: consumers’ VR store experience (106 data) (i.e., having respondents experience 360-degree-based VR store videos recorded at a fashion retailer) and store website experience (107 data) (i.e., having respondents experience the same store’s website). The results revealed that relative to an ordinary store website, consumers’ VR store experience evoked positive emotions and increased perceived store attractiveness. This study also discovered that store familiarity does not moderate the relationship between the two store experience types and evoked emotions, implying that VR technology is effective regardless of consumers’ familiarity with a store. Text analytics were also utilized, providing additional insights about their VR store experiences. This study suggests an effective method for online retailers to emulate an attractive store environment and entice consumers through VR, regardless of the retailers’ fame. Specifically, it demonstrates the effectiveness of VR over website in enhancing store attractiveness, an under-studied area.

  PublisherDOI

• Social network analysis of an emerging innovation: direct-to-garment printing technology

  Journal of Fashion Marketing and Management · 2020-09-05 · 15 citations

  article

  Purpose The study primarily aims to examine an emerging fashion technology, direct-to-garment (DTG) printing, using data mining-driven social network analysis (SNA). Simultaneously, the study also demonstrates application of a group novel computational technique to capture, analyze and visually depict data for strategic insight into the fashion industry. Design/methodology/approach A total of 5,060 tweets related to DTG were captured using Crimson Hexagon. Python and Gephi were applied to convert, calculate and visualize the yearly networks for 2016–2019. Based on graph theory, degree centrality and betweenness centrality indices guide interpretation of the outcome networks. Findings The findings reveal insights into DTG printing technology networks through identification of interrelated indicators (i.e. nodes, edges and communities) over time. Deeper interpretation of the dominant indicators and the unique changes within each of the DTG communities were investigated and discussed. Practical implications Three SNA models suggest directions including the dominant apparel categories for DTG application, competing alternatives for apparel decorating approaches to DTG and growing market niches for DTG. Interpretation of the yearly networks suggests evolution of this domain over the investigation period. Originality/value The social media based, data mining-driven SNA method provides a novel path and a powerful technique for scholars and practitioners to investigate information among complex, abstract or novel topics such as DTG. Context specific findings provide initial insight into the evolving competitive structures driving DTG in the fashion market.

  PublisherDOI

Frequent coauthors

• Jason M. Carpenter

  24 shared

• Robert Handfield

  North Carolina State University

  11 shared

• Nicholas Alexander

  Lancaster University

  11 shared

• Anne Marie Doherty

  University of Glasgow

  11 shared

• Rejaul Hasan

  National Institute of Cardiovascular Diseases

  10 shared

• Lori Rothenberg

  North Carolina State University

  8 shared

• Yanan Yu

  6 shared

• Ann Fairhurst

  University of Tennessee at Knoxville

  4 shared

Education

• Ph.D., strategic management and technology adoption among U.S. retail firms

  University of Tennessee

  2002