@article{chakraborty_moore_parrillo-chapman_2022, title={Automatic defect detection for fabric printing using a deep convolutional neural network}, volume={15}, ISSN={["1754-3274"]}, DOI={10.1080/17543266.2021.1925355}, abstractNote={Defect detection is a crucial step in textile and apparel quality control. An efficient defect detection system can ensure the overall quality of the processes and products that are acceptable to consumers. Existing techniques for real-time defect detection tend to vary according to unique manufacturing processes, focal defects and computational algorithms. Although the need is high, research related to automatic printed fabric defect detection processes is not prevalent in academic literatures. This research proposes a novel methodology that demonstrates the application of convolutional neural network (CNN) to classify printing defects based on the fabric images collected from industries. The research also integrated visual geometric group (VGG), DenseNet, Inception and Xception deep learning networks to compare model performance. The results exhibit that the VGG-based models perform better compared to a simple CNN model, suggesting promise for automatic defect detection (ADD) of printed fabrics that can improve profitability in fashion supply chains.}, number={2}, journal={INTERNATIONAL JOURNAL OF FASHION DESIGN TECHNOLOGY AND EDUCATION}, author={Chakraborty, Samit and Moore, Marguerite and Parrillo-Chapman, Lisa}, year={2022}, pages={142–157} }
 @article{cho_moore_2022, title={The effect of technology driven mergers and acquisitions on firm performance in the US textile industry}, ISSN={["1754-2340"]}, DOI={10.1080/00405000.2022.2124654}, abstractNote={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.}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={Cho, Buhyung and Moore, Marguerite}, year={2022}, month={Sep} }
 @article{jin_kim_moore_rothenberg_2021, title={Consumer store experience through virtual reality: its effect on emotional states and perceived store attractiveness}, volume={8}, ISSN={["2198-0802"]}, DOI={10.1186/s40691-021-00256-7}, abstractNote={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.}, number={1}, journal={FASHION AND TEXTILES}, author={Jin, Byoungho and Kim, Gwia and Moore, Marguerite and Rothenberg, Lori}, year={2021}, month={May} }
 @article{hasan_moore_handfield_2021, title={Establishing Operational Norms for Labor Rights Standards Implementation in Low-Cost Apparel Production}, volume={13}, ISSN={["2071-1050"]}, url={https://doi.org/10.3390/su132112120}, DOI={10.3390/su132112120}, abstractNote={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.}, number={21}, journal={SUSTAINABILITY}, publisher={MDPI AG}, author={Hasan, Rejaul and Moore, Marguerite and Handfield, Robert}, year={2021}, month={Nov} }
 @article{yu_rothenberg_moore_2021, title={Exploring young consumer's decision-making for luxury co-branding combinations}, volume={49}, ISSN={["1758-6690"]}, DOI={10.1108/IJRDM-12-2019-0399}, abstractNote={Purpose The purpose of this paper is to identify the realistic trade-offs young consumers make when evaluating luxury co-branding combinations based on signalling theory. Design/methodology/approach Conjoint analysis was employed to evaluate the relative impact of four major attributes (i.e. brand combinations, retail channels, uniqueness and price) on consumer desirability for luxury co-branding combinations. The data were analysed using desirability indices. Findings Brand combinations, uniqueness and price significantly impact consumer desirability of luxury co-branding combinations. The luxury brand and sportswear combination results in the highest desirability when price is more similar to the sportswear constituent and participants perceive that the collaboration as exclusive. Practical implications The results suggest that luxury brands need to consider the partnering brand's retail format primarily for co-branding strategy. Luxury brand collaborations with sportswear and premium priced streetwear brands are more likely to result in higher desirability among consumers compared to collaborations with fast fashion and mass-market brands. Additionally, uniqueness may not be effective as a point of differentiation in cases where luxury brands cannot guarantee a single yearly collaboration. Originality/value The decision to use existing brands for the fictitious combinations developed more sensible scenarios for respondents. In addition, rather than discrete questions, attribute-based combinations provide a more realistic depiction of consumers' decision making on luxury co-branding. Finally, the results provide marketing practitioners with practical directions for future development of fashion luxury co-branding strategy.}, number={3}, journal={INTERNATIONAL JOURNAL OF RETAIL & DISTRIBUTION MANAGEMENT}, author={Yu, Yanan and Rothenberg, Lori and Moore, Marguerite}, year={2021}, pages={341–358} }
 @article{yu_chapman_moore_2021, title={Profiling Digital Printing Technology Adoption in the Fashion Industry: A New Approach to Exploring Innovation Diffusion}, ISSN={["1793-6950"]}, DOI={10.1142/S0219877022500043}, abstractNote={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.}, journal={INTERNATIONAL JOURNAL OF INNOVATION AND TECHNOLOGY MANAGEMENT}, author={Yu, Yanan and Chapman, Lisa Parrillo and Moore, Marguerite M.}, year={2021}, month={Dec} }
 @article{yu_moore_chapman_2021, title={Social network analysis of an emerging innovation: direct-to-garment printing technology}, volume={25}, ISSN={["1758-7433"]}, DOI={10.1108/JFMM-03-2020-0053}, abstractNote={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.}, number={2}, journal={JOURNAL OF FASHION MARKETING AND MANAGEMENT}, author={Yu, Yanan and Moore, Marguerite and Chapman, Lisa P.}, year={2021}, month={Apr}, pages={274–289} }
 @article{hasan_moore_handfield_2020, title={Addressing Social Issues in Commodity Markets: Using Cost Modeling as an Enabler of Public Policy in the Bangladeshi Apparel Industry}, volume={56}, ISSN={["1745-493X"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85084464020&partnerID=MN8TOARS}, DOI={10.1111/jscm.12228}, abstractNote={Global apparel brands that source production from less developed countries are increasingly exposed to risks that arise from human rights violations. Despite widely publicized factory safety failures, reactionary regulatory efforts remain inadequate. This situation is commonly attributed to unyielding downward price pressure imposed on factories by Western brands. To address this problem, this research develops a comprehensive cost model for low-cost apparel production following a total cost of ownership approach. Comprehensive production data for cotton T-shirts from nine Bangladeshi factories provide the basis for model construction. The model reveals that materials generate the bulk of production costs (77%) for a T-shirt, in contrast to worker wages which generate only 2 percent of the total production cost per unit (e.g., 16 cents out of a $8USD retail price). The TCO provides fundamental insights, grounded in real data, to guide policy and regulation among stakeholders in high-risk, low-cost supply chains. Based on the research context, results are considered through the lens of agency theory to provide managerial implications for relevant stakeholders.}, number={4}, journal={JOURNAL OF SUPPLY CHAIN MANAGEMENT}, author={Hasan, Rejauls and Moore, Marguerite and Handfield, Robert}, year={2020}, month={Oct}, pages={25–44} }
 @article{nelson_moore_swanson_2019, title={Fashion and social networking: a motivations framework}, volume={23}, ISSN={["1758-7433"]}, DOI={10.1108/JFMM-03-2018-0037}, abstractNote={Purpose The purpose of this paper is to add to the literature concerning potential motivations that drive social networking sites (SNS) for fashion-related behaviors among millennial consumers using a Uses and Gratifications (U&G) perspective. Four SNS platforms – Facebook, Instagram, Pinterest, and Twitter – were examined. Design/methodology/approach The study presents a mixed-methods approach to develop and test a motivations framework among millennial consumers that will lead to practical understanding of both the existence of and impact of different motivations for engaging in SNS. Findings Unique motivations appear to drive use of the four examined platforms. Results indicate that a broad set of common motivations for SNS use among millennial consumers who exhibit an interest in fashion can be determined. Further, the results indicate significant differences among motivations within the respective platform types. Lastly, the results reveal common factors among three or more SNS platforms: “Fashion,” “Connection,” “Following” and “Pictures.” The ‘Entertainment’ factor was common among two SNS platforms. Research limitations/implications Limitations of the study are the limited sample and SNS selection. A broader representation of the millennial consumer behaviors would provide a more comprehensive picture of the motivations for using SNS platforms. Practical implications The study provides useful information for fashion marketers and researchers who can benefit from an updated understanding of SNS behaviors. Originality/value The study provides a relevant contribution to SNS research as well as understanding of millennial consumers. Additionally, it adds contribution to the U&G theory concerning new media platforms. It also delivers a replicable research design for other SNS platforms.}, number={4}, journal={JOURNAL OF FASHION MARKETING AND MANAGEMENT}, author={Nelson, Dorothy Wu and Moore, Marguerite M. and Swanson, Kristen K.}, year={2019}, month={Sep}, pages={608–627} }
 @article{wang_chapman_moore_suh_2019, title={Replication of Screen-Printing Fabric via Ink-jet Textile Printing}, volume={63}, ISSN={["1943-3522"]}, DOI={10.2352/J.ImagingSci.Technol.2019.63.4.040402}, abstractNote={Digital textile printing (DTP) is fast, flexible, and relatively inexpensive for sample printing, and can be applied quickly in response to consumer demand. The aim of this two-stage research was to analyze the potential of DTP to replace traditional screen printing for a specific textile product. In Stage One, an optimal DTP workflow was established. The workflow included determination of the colorant and substrate combination, color calibration, CAD file, and the necessity of pretreatment. In Stage Two, a visual assessment instrument and protocol were established to evaluate the acceptance of replicated ink-jet printed fabric. The visual assessment and protocol were designed to evaluate the acceptance of the ink-jet printed sample to fully replicate the screen-printed sample via seven measured aspects. These seven aspects include: perceived color difference, lightness difference, overall color, scale, line quality, visual texture, and overall appearance. Data gathered from the visual assessment was then analyzed and compared using SPSS statistics software. The results indicate that DTP demonstrates a significant potential alternative for traditional screen printing.}, number={4}, journal={JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY}, author={Wang, Ming and Chapman, Lisa and Moore, Marguerite and Suh, Minyoung}, year={2019}, month={Jul} }
 @article{saki_moore_kandilov_rothenberg_godfrey_2019, title={Revealed comparative advantage for US textiles and apparel}, volume={29}, ISSN={["2051-3143"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85071955664&partnerID=MN8TOARS}, DOI={10.1108/CR-03-2018-0025}, abstractNote={Purpose The purpose of this study is to identify US textile and apparel (TAP) products and categories that demonstrate export comparative advantage and their respective country destinations. Design/methodology/approach Revealed comparative advantage (RCA) and normalized revealed comparative advantage (NRCA) in the long term (1996-2016) and short term (2010-2016) using two-digit Harmonized Commodity Description and Coding System codes (HS codes) provide an insight into export advantage of TAP products. Non-parametric rank correlation (i.e. Spearman rank correlation) tests consistency between RCA and NRCA. Subsequently, NRCA using four-digit HS codes identify textile sub-categories with export comparative advantage. Bilateral trade data identify export destinations for sub-categories that indicate US export comparative advantage in the short term. Findings Aggregated product-level comparison of RCA and NRCA ranking indicates a consistent positive correlation between the two indices. The disaggregated findings reveal cotton fiber HS5201, artificial filament tow HS5502, non-wovens HS5603, cotton yarn HS5205, carpet and other floor coverings HS5703 and worn clothing HS6309 as sources of US TAP export advantage. Originality/value This research provides a comprehensive, current analysis of the US competitive position within the TAP global environment. Incorporation of NRCA into the study’s design demonstrates the flexibility of this measure in a new industry context.}, number={4}, journal={COMPETITIVENESS REVIEW}, author={Saki, Zahra and Moore, Marguerite and Kandilov, Ivan and Rothenberg, Lori and Godfrey, A. Blanton}, year={2019}, month={Jul}, pages={462–478} }
 @article{carpenter_moore_alexander_doherty_2013, title={Consumer demographics, ethnocentrism, cultural values, and acculturation to the global consumer culture: A retail perspective}, volume={29}, ISSN={0267-257X 1472-1376}, url={http://dx.doi.org/10.1080/0267257X.2013.766629}, DOI={10.1080/0267257X.2013.766629}, abstractNote={Globalisation creates threats and opportunities for retailers in both international and domestic markets. Recently, researchers established a framework for examining the development of supra national marketing segments to explain acculturation to the global consumer culture (AGCC) (Cleveland & Laroche, 2007). The research presented here extends their work by examining demographic and cultural drivers of AGCC and the impacts of global acculturation on ethnocentrism towards international retailers among a cross-section of US consumers (N = 492). Findings suggest that, to varying degrees, demographics and individualism impact four of the dimensions of AGCC, while the dimensions of AGCC impact ethnocentrism for food and fashion retailers. Cosmopolitanism and social interaction consistently reduce ethnocentrism towards retailers among the sample data.}, number={3-4}, journal={Journal of Marketing Management}, publisher={Informa UK Limited}, author={Carpenter, Jason M. and Moore, Marguerite and Alexander, Nicholas and Doherty, Anne Marie}, year={2013}, month={Feb}, pages={271–291} }
 @article{carpenter_moore_doherty_alexander_2012, title={Acculturation to the global consumer culture: a generational cohort comparison}, volume={20}, ISSN={0965-254X 1466-4488}, url={http://dx.doi.org/10.1080/0965254X.2012.671340}, DOI={10.1080/0965254X.2012.671340}, abstractNote={While on a global scale consumers are becoming more homogeneous, as a result of the increasingly globalized marketplace, researchers suggest that consumers within individual countries are becoming more culturally heterogeneous. Consequently, M. Cleveland and J. Laroche (2007. Acculturation to the global consumer culture: Scale development and research paradigm. Journal of Business Research, 60, 249–259) advocate segmenting consumers across markets on the basis of acculturation to the global consumer culture (AGCC) rather than segmenting at the individual country level. In this they anticipate AGCC will reflect demographic characteristics. However, little empirical work exists to validate or challenge the assertion that demographics moderate AGCC. This exploratory study uses generational cohort theory (GCT) to examine the relationships between cohort membership and level of AGCC among a sample of US consumers (N = 492). The findings suggest AGCC does identify differences between cohorts.}, number={5}, journal={Journal of Strategic Marketing}, publisher={Informa UK Limited}, author={Carpenter, Jason and Moore, Marguerite and Doherty, Anne Marie and Alexander, Nicholas}, year={2012}, month={Aug}, pages={411–423} }
 @article{carpenter_moore_2009, title={Utilitarian and hedonic shopping value in the US discount sector}, volume={16}, ISSN={0969-6989}, url={http://dx.doi.org/10.1016/j.jretconser.2008.10.002}, DOI={10.1016/j.jretconser.2008.10.002}, abstractNote={Abstract General merchandise discount retailers in the US have evolved to offer higher levels of hedonic shopping value, thereby intensifying levels of intra- and inter-type competition within the industry. Academic research on consumer reactions to these efforts is limited. This study investigates consumers’ perceptions of utilitarian and hedonic shopping value associated with the two leading US general merchandise discounters. Findings suggest differences in perceptions of the level of hedonic benefits offered by the discounters and provide useful insight for the further development of marketing strategies.}, number={1}, journal={Journal of Retailing and Consumer Services}, publisher={Elsevier BV}, author={Carpenter, Jason M. and Moore, Marguerite}, year={2009}, month={Jan}, pages={68–74} }
 @article{moore_2005, title={Towards a confirmatory model of retail strategy types: an empirical test of miles and snow}, volume={58}, ISSN={0148-2963}, url={http://dx.doi.org/10.1016/j.jbusres.2003.09.004}, DOI={10.1016/j.jbusres.2003.09.004}, abstractNote={Competitive intensity in the domestic retail industry generates ongoing interest in the strategy formulation and implementation processes among both practitioners and academics. The current research considers the applicability of the Miles and Snow strategic typology to domestic retail organizations (N=101). A two-stage structural equation model indicates support for using this theory to examine the linkage between strategy and performance within the retail industry. Hypotheses indicate that three of the four Miles and Snow types (i.e., two pure types and one hybrid type) are likely present in this industry. The current research extends the overall scope of the Miles and Snow framework to the retail environment and provides insights into measuring and understanding strategic types within this industry.}, number={5}, journal={Journal of Business Research}, publisher={Elsevier BV}, author={Moore, Marguerite}, year={2005}, month={May}, pages={696–704} }