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Journal articles on the topic 'Apparel retail'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Bhandari, Geetanjali. "Intelligent Retailing: Experiential Marketing Practices in Apparel Retail." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 766–71. http://dx.doi.org/10.5373/jardcs/v12sp3/20201315.

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2

S., Deepa, and P. Chitramani. "Customer Based Retailer Equity of Apparel Retail Stores." Indian Journal of Marketing 46, no. 5 (May 1, 2016): 7. http://dx.doi.org/10.17010/ijom/2016/v46/i5/92485.

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3

Kumbhat, Astha. "Retail Industry and Apparel Retail: A Critical Review." International Journal of Management Studies VI, no. 1 (February 28, 2019): 20. http://dx.doi.org/10.18843/ijms/v6si1/03.

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4

Campaniaris, Constantine, Richard Murray, Steven Hayes, and Michael Jeffrey. "The development of an apparel industry business model for Canada." Journal of Fashion Marketing and Management 19, no. 3 (July 13, 2015): 328–42. http://dx.doi.org/10.1108/jfmm-07-2014-0050.

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Purpose – Earlier attempts to develop a strategy for the apparel industry in Canada to counter the adverse effects of trade liberalisation on Canadian apparel suppliers have been based on the concept of clustering. However, despite the support from government-supported industry bodies, clustering has not been forthcoming and this situation has created a pressing need for the development of an alternative to the clustering strategy. A study by the Canadian Apparel Human Resources Council offered up several different strategies including clustering, that the Canadian apparel industry might pursue, but these have not been taken up. Evidence gained from government reports on the industry and its performance, industry case studies, an experience survey and questionnaire reported earlier, leads to a radically different alternative with a more direct relationship between Canadian apparel suppliers and retailer. The purpose of this paper is to report and construct an evidence-based collaborative strategy together with its accompanying apparel industry business model. Design/methodology/approach – The evidence gained from case studies of Canadian apparel businesses, a secondary data search, an experience survey and an online questionnaire has been followed and combined with retailer requirements from apparel suppliers. Findings – The information gained from apparel industry representatives, government sources and industry reports has enabled step-by-step construction of an evidence-based business model centred on the formation of collaborative partnerships between apparel suppliers and retailers. Originality/value – The model reflects the fact that Canadian apparel retailers have taken the leading role in the supplier/retailer relationship and shows how Canadian apparel suppliers might better position themselves to combat competition from offshore suppliers through the formation of closer links with retail partners. It points not only to a requirement for Canadian apparel suppliers to become integrated into their retail partner’s retail management systems and technology, but also demonstrates the need for the formation of strong alliances through collaborative partnerships between supplier and retailer to address the needs of the apparel market.

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Zebal, Mostaque A., and Faye Hall Jackson. "Cues for shaping purchase of local retail apparel clothing brands in an emerging economy." International Journal of Retail & Distribution Management 47, no. 10 (October 14, 2019): 1013–28. http://dx.doi.org/10.1108/ijrdm-11-2018-0241.

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Purpose The purpose of this paper is to explore and identify the cues that shape the purchase of local retail apparel clothing brands in an emerging economy. The study further develops a conceptual framework for the cues that shape the purchase of local retail apparel clothing brands. Design/methodology/approach A focus group methodology is used for data collection from the local retail clothing consumers in Bangladesh. Data collected for this study were coded and categorized using inductive reasoning methods and similar responses were identified from a prepared data matrix. The results were presented in narrative while preserving the authenticity of participant response. Findings Three cues were identified that shape the purchase of local retail apparel clothing brands in Bangladesh. First, consumers buy local retail apparel clothing brands due to the product authenticity (product quality, product uniqueness, apparel fittings, apparel durability, color combination, attractive design, comfortability and reasonable price). Second, consumer cosmopolitanism (urbanization of people, migration and overseas travel, and access to cable television and international channels) positively related to the purchase of local retail apparel brands in Bangladesh. Third, consumer ethnocentrism (superiority of local made brands over imported foreign brands, moral obligation for purchasing local products and patriotism) is a contributory cue responsible for the success of local retail apparel clothing brands in Bangladesh. Originality/value This study is a first of its kind to significantly enrich the consumer behavior literature related to local retail apparel branded companies and their implications.

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Dr. Nidhi Sharma and Dr. Alok Sharma. "Artificial Intelligence Design Suggestions for Apparel Retail Counters." International Journal for Modern Trends in Science and Technology 06, no. 9S (October 16, 2020): 242–44. http://dx.doi.org/10.46501/ijmtst0609s35.

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Artificial Intelligence is the requirement felt widely in retail industry support system, especially in Apparel Retail counters. On different occasions, functions, parties and celebrations, the shopping is done using these Apparel retail counters. Artificial Intelligence is an area of computer science which simulates the human intelligence and human sensory abilities. So, Artificial Intelligence is becoming an imperative tool for the retail counters to enhance the quality, improve customer’s experience, automation, and to lower the operating costs. This paper will discuss how Artificial Intelligence is influencing the retail counters by automation of cash management, improving customer’s experience and providing other supports for adjustment of prices and prediction of prices considering seasonal as well as occasional effects.

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Rizzi, Antonio, and Andrea Volpi. "RFID-enabled visual merchandising in apparel retail." International Journal of RF Technologies 8, no. 4 (February 22, 2018): 213–31. http://dx.doi.org/10.3233/rft-181788.

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L. Lewis, Tasha, and Suzanne Loker. "Technology usage intent among apparel retail employees." International Journal of Retail & Distribution Management 42, no. 5 (May 6, 2014): 422–40. http://dx.doi.org/10.1108/ijrdm-07-2012-0067.

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Purpose – The purpose of this paper is to identify variables important to acceptance and use of advanced technologies by apparel retail employees and to recommend management strategies for effective technology integration in retail stores. Design/methodology/approach – Current or past retail employees (N=71) were introduced to and given time to use three technologies – a 3D body scanner, product configurator, and social networking – in a laboratory setting using a within subjects design. A questionnaire measured participants’ perceptions of each technology in terms of usefulness, enjoyment, ease of use, task importance, technology self-efficacy – overall participant confidence in using new technology – and usage intent. Findings – Results showed that employee's perceived usefulness of technology was a mediating influence on usage intent for all three technology types. Enjoyment also emerged as a significant mediator for 3D body scanning technology usage intent. Employees’ high self-efficacy scores corresponded to higher ratings for usefulness of each technology, suggesting that more technologically confident employees would be more likely to use the three types of technology presented in this study as part of their work. Research limitations/implications – The controlled environment of the laboratory setting may limit the generalizability of results to actual retail store settings. Future evaluations of technology usage in actual retail store environment involving both employees and customers are recommended. Originality/value – This research explores the use of advanced in-store technologies from the perspective of apparel retail employees, applying the Technology Acceptance Model. It provides insight as to why employees accept and use innovative technologies that are relevant to their jobs and increase and enhance the points of contact between employees and customers. This knowledge of employee technology usage in the store environment could be used to improve job performance and job satisfaction – issues that often confront apparel retailers.

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Shim, Soyeon, and Antigone Kotsiopulos. "Information-Seeking Patterns of Retail Apparel Buyers." Clothing and Textiles Research Journal 10, no. 1 (September 1991): 20–30. http://dx.doi.org/10.1177/0887302x9101000104.

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10

Hasan, Arif. "Examining Applicability of RSQS with Added Dimensions for Organized Apparel Retailers in India." Paradigm 21, no. 1 (June 2017): 52–74. http://dx.doi.org/10.1177/0971890717701516.

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This study endeavours to validate and develop a scale for organized apparel retail stores, as there is a need to develop and validate a modified instrument. Primary data have been collected from selected organized apparel retailers. Statistical tools, exploratory factor analysis (EFA) and structural equation modeling (SEM), were applied. It revealed that Retail Service Quality Scale (RSQS) model in original form is deficient and less appropriate in the Indian context, modified scale (i.e., Apparel Store Service & Product Quality Scale [ASSPQS]) may exhibit strong model fit for apparel retail sector. The findings and recommendations will enable retail stores to gather insights into current levels of service and product quality and may facilitate them in the improvement of certain aspects in service and product quality of the stores.

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Et. al., Dr Gayathri Band,. "A Discriminant Analysis Of High End And Budget Stores In Apparel Retail In India Using Retail Service Quality Scale Model." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (April 10, 2021): 929–37. http://dx.doi.org/10.17762/turcomat.v12i4.581.

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Service Quality is a blend of two words, Service and Quality where we discover accentuation on the accessibility of value services to definitive users. RSQS scale has been used for identifying the discriminant service quality factors differentiating the consumer perception of high end apparel retail stores and budget apparel retail stores. All out 600 surveys were circulated, 300 for high end and 300 for budget apparel retail stores and that we got 548 complete surveys of which 258 were from consumers of high end apparel retail stores and 290 were from consumers of budget apparel retail stores which were utilized for examination. The high end stores included in the study include H&M, Veromoda, ONLY and Westside and budget stores included in the study include Trends, Max, FBB and Pantaloons. The discriminate function revealed a significant association between groups and all predictors, accounting for 64.5% of between group variability, the structure matrix revealed three significant predictors, namely Reliability, Physical Aspects and Policy with problem solving and personal interaction as poor predictors. The cross validated classification showed that overall 76% were correctly classified.

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Dr.P.Vikkraman, Dr P. Vikkraman, and N. Sumathi N.Sumathi. "An Analytical Study On Apparel Retail Marketing In India Post Reform Period." International Journal of Scientific Research 1, no. 4 (June 1, 2012): 100–101. http://dx.doi.org/10.15373/22778179/sep2012/35.

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13

Dong, A. H., D. Shan, Z. Ruan, L. Y. Zhou, and F. Zuo. "The Design and Implementation of an Intelligent Apparel Recommend Expert System." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/343171.

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Now with the rapid development of information science and technology, intelligent apparel recommend has drawn wide attention in apparel retail industry. Intelligent management and effective recommend are two issues of crucial importance for the retail store to enhance its corporate influence and increase its economic benefits. This paper proposes an intelligent recommend system design scheme for apparel retail which is based on expert system. By comprehensive utilization of database management and expert system technology, the proposed system provides a solid solution in improving the customer shopping experience. This paper presents a kind of object-oriented blackboard structure, which is applied in the apparel recommend expert system and establishes expert rule on the basis of apparel characteristic elements. Through the establishment of the rule base, the system generates personal recommend list by positive rule reasoning mechanism engine. The proposed method thus gives dress collocation scheme for the customer through the human-machine interaction from the point of view of the apparel experts. This design scheme avails the customers to experience targeted service with intellectualization, and personalization and it has certain reference significance for promoting apparel retail intelligence development.

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Basu, Rituparna, Kalyan K. Guin, and Kalyan Sengupta. "Do apparel store formats matter to Indian shoppers?" International Journal of Retail & Distribution Management 42, no. 8 (August 5, 2014): 698–716. http://dx.doi.org/10.1108/ijrdm-03-2013-0065.

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Purpose – The purpose of this paper is to explore store choice behaviour of Indian apparel shoppers and analyses the factors influencing their choice of retail formats from an emerging market perspective. Design/methodology/approach – The research draws on a data set of 336 structured questionnaires with adult urban Indian respondents to understand their perceptions about organised and unorganised apparel store formats. The exploratory study uses a comprehensive list of demographics, shopping situations and format stimuli parameters along with two established psychographic scales to assess the extent of their effect on the store choice of apparel shoppers. Findings – Factor analysis revealed five well defined store attributes influencing the apparel shoppers’ decision. The growing market for organised retail with a preference for multi brand stores is highlighted. The study establishes that the shoppers’ perception of single-brand stores is still going through a formative phase. Further at the micro level of the decision process, significant differences are established by a number of variables. Research limitations/implications – The paper explores the store choice behaviour from a wider perspective that may be useful for future research on developing integrated store format choice models. However, the data used herein relates to a cross-section of shoppers in urban India due to the feasibility and convenience of studying relatively organised retail forms and structure of retail in an emerging market environment. Originality/value – The paper attempts to enumerate befitting analyses of factors that influence the store choice behaviour of apparel shoppers by using apt format classifications that are specific to the emerging retail market scenario in India.

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Zebal, Mostaque Ahmed, and Anushe Zebal. "Success Factors of Local Retail Apparel Clothing Brands in a Southeast Asian Market." International Journal of Marketing Studies 12, no. 3 (August 19, 2020): 52. http://dx.doi.org/10.5539/ijms.v12n3p52.

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Purpose—The purpose of the study is to explore and identify the factors that shape the success of local retail apparel clothing brands in a Southeast Asian market, Bangladesh. The study further offers relevant propositions on the basis of the results. Design/methodology/approach—Focus group methodology was used for data collection from the local retail clothing consumers of Dhaka and Chittagong divisions in Bangladesh. Framework analysis was applied for coding, categorizing, identifying the themes from the audiotapes and transcripts. The focus group transcripts were coded for common themes, issues, or ideas as expressed by the participants. Similar responses were identified from a prepared data matrix on the basis of the most frequent mentioned and less frequently mentioned responses. The research results were presented in a narrative to retain the authenticity of the local dialect and provide insight into the consumer behavior. Findings—Three critical factors were identified responsible for the success of local retail apparel clothing businesses in Bangladesh. The results revealed that the retail companies were heavily benefited by the adoption of intrinsic/extrinsic factors (product quality, price, and building retailers’ reputation and brand name) and culture specific marketing efforts (after sales service, easiness of online transaction, convenient location, store atmosphere, availability of outlet, promoting cultural events, and local celebrity endorsement). The companies were further found advantageous of the socio-economic factors of the country (increase of purchasing power, rapid expansion of tertiary academic institutions, family influence, and change of behavioral pattern). Originality/value—The study enriches the consumer behavior literature related to local retail apparel branded companies and leaves implications to both the mangers and academics.

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Huang, Zhen Zhen, and Xiao Yun Wang. "Research on Silk Apparel Retail Marketing Development Strategy." Advanced Materials Research 175-176 (January 2011): 900–905. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.900.

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As large marketing research data shown, silk clothing marketing share of china has been small. So far, there is still lack of a high-profile silk clothing brand in our country, which has great potential for developing. In this paper, silk apparel retail marketing development strategy were profoundly analyzed and studied. Firstly, silk garments’ marketing research data was analyzed. In order to expand silk clothing marketing comprehensively in the perspective of marketing channels and brand-building, the retail marketing strategy and mathematical statistics methods were used. At last it simulated the retail marketing development strategy in a small silk garments marketing sample in order to have a more intuitive view for the implementation of the strategy. Thereby, it can contribute to grasp silk apparel marketing, make full use of china’s rich silk resources and create silk brand power to make china silk flare brilliant in the world.

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Lea Wickett, Jennifer, LuAnn Ricketts Gaskill, and Mary Lynn Damhorst. "Apparel Retail Product Development: Model Testing and Expansion." Clothing and Textiles Research Journal 17, no. 1 (January 1999): 21–35. http://dx.doi.org/10.1177/0887302x9901700103.

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Francis, Sally K., and Daniel J. Brown. "Retail Buyers of Apparel and Appliances: A Comparison." Clothing and Textiles Research Journal 4, no. 1 (September 1985): 1–8. http://dx.doi.org/10.1177/0887302x8500400101.

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Sternquist, Brenda, Sheila Tolbert, and Bonnie Davis. "Imported Apparel: Retail Buyers' Reasons for Foreign Procurement." Clothing and Textiles Research Journal 7, no. 4 (June 1989): 35–40. http://dx.doi.org/10.1177/0887302x8900700405.

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20

Gupta, S. L. "An Empirical Study on Retailing Industry in India: A Case Study on Apparel Market." Paradigm 11, no. 2 (July 2007): 1–8. http://dx.doi.org/10.1177/0971890720070202.

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The study puts focus on how retailers are designing organized retail formats to keep pace with the changing moods of the shoppers. This will help them out in reaching a huge market comprising middle segment in order to enhance their clientele. These organized retail formats are at a paradigm shift in India and the need of the hour is a place where the consumers are seeking the convenience of one-stop shopping which can be catered by none other than malls. In the past few years there has been a shift in India from individual retail outlets owned separately and managed distinctively and professionally for retailing. Things changed primarily because of rising expectations of Indian consumers Corporate houses in turn responded quickly to the needs of the consumers. The study addresses how factors within and outside the stores affect store-level shopping decision. Preference for certain retailer attributes differs by shopper and these preferences are reflected in store choice. Therefore, several retailer attribute act as reasons for store patronage. A questionnaire was designed to investigate store patronage relative to the importance and perception of selected attributes of the stores. The data were collected from retailers. Respondents were asked to describe their perception of store on the basis of various attributes. These attributes were then treated as variables/indicators in the study. The six main indicators on the basis of which retailers decide to go for specific type of retail format consisted of price, sales personnel, quality of merchandise, assortment of merchandise, advertising, services, and other convenience services. The data collected from 100 retailers.

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Kaushik, Vineet, and Sanjay Dhir. "Non-conformance in apparels: exploring online fashion retail in India." Journal of Fashion Marketing and Management: An International Journal 23, no. 2 (May 13, 2019): 257–76. http://dx.doi.org/10.1108/jfmm-05-2018-0067.

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Purpose The purpose of this paper is to study, explore and rank the non-conforming factors in apparels purchased from e-shops. Design/methodology/approach Data were collected by visiting and interacting people in colleges and through the structured online questionnaires (n=222). The exploratory factor analysis was performed using “R” software. Identified factors were ranked using AHP methodology; 12 experts from various fashion institutes participated in identifying the factors. Findings Based upon the results of the exploratory study, non-conforming factors such as “visual variation”, “functional inconvenience”, “cloth attribute variation”, “haptic variation”, “aesthetic variation” and “fit variation” were identified. The priority ranking of factors and sub-factors was done. Research limitations/implications The sample primarily comprised of the young adult population (19–27 years) and most of them were females (71.6 per cent). There can be other demographic factors. Research is limited to online apparel retailers. Advanced methods of prioritisation can be used. Practical implications The paper can be useful to online apparel retailers, vendors and manufacturers to understand the factors that may be important for improving their business. Originality/value There is no study that identifies the non-conformance factors related to online apparel retailing.

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Mokoena, Bakae Aubrey, and Eugine Tafadzwa Maziriri. "A Regression Analysis of Generation Y Female Students' Perceptions on Social Risk, Buying Behaviour and Apparel Store Choice." Journal of Economics and Behavioral Studies 9, no. 1(J) (March 12, 2017): 157–65. http://dx.doi.org/10.22610/jebs.v9i1(j).1567.

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In the present post-modern era, Generation Y female students are faced with a discerning process of selecting the optimum apparel retail store to be loyal to and from which to buy clothing products. Therefore, the active store choice decision is conceptualized as the difficulty of determining someplace and when and where to shop. The main objective of the study was to examine the relationship between social risk, buying behavior and store choice within the apparel retail industry. The study is positioned within a post-positivism quantitative paradigm and adopts a cross-sectional survey approach collecting data from 400 conveniently selected university students. Scale purification was done through pre-testing and pilot testing. Through multiple regression analysis, the results show that social risk and buying behavior significantly influences retail store choice in an apparel retail setting. The findings indicated that there is a positive and significant association between perceived social risk, buying behavior and retail store choice. Based on the outcomes of the study, recommendations were suggested to retail managers to develop retailing strategies that charm the female Generation Y consumers. In addition, limitations and future research directions are referred to.

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Mokoena, Bakae Aubrey, and Eugine Tafadzwa Maziriri. "A Regression Analysis of Generation Y Female Students’ Perceptions on Social Risk, Buying Behaviour and Apparel Store Choice." Journal of Economics and Behavioral Studies 9, no. 1 (March 12, 2017): 157. http://dx.doi.org/10.22610/jebs.v9i1.1567.

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In the present post-modern era, Generation Y female students are faced with a discerning process of selecting the optimum apparel retail store to be loyal to and from which to buy clothing products. Therefore, the active store choice decision is conceptualized as the difficulty of determining someplace and when and where to shop. The main objective of the study was to examine the relationship between social risk, buying behavior and store choice within the apparel retail industry. The study is positioned within a post-positivism quantitative paradigm and adopts a cross-sectional survey approach collecting data from 400 conveniently selected university students. Scale purification was done through pre-testing and pilot testing. Through multiple regression analysis, the results show that social risk and buying behavior significantly influences retail store choice in an apparel retail setting. The findings indicated that there is a positive and significant association between perceived social risk, buying behavior and retail store choice. Based on the outcomes of the study, recommendations were suggested to retail managers to develop retailing strategies that charm the female Generation Y consumers. In addition, limitations and future research directions are referred to.

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Gopalan, Rema, Sreekumar ., and Biswajit Satpathy. "Evaluation of retail service quality – a fuzzy AHP approach." Benchmarking: An International Journal 22, no. 6 (August 3, 2015): 1058–80. http://dx.doi.org/10.1108/bij-05-2013-0052.

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Purpose – With the growing importance of service quality in Indian retail, it becomes critical for the retailers to identify the appropriate dimensions for their retail stores. In the process of evaluating service quality the decision maker is often faced with ambiguities due to the imprecise information gained from the respondents. The purpose of this paper is to present an integrated fuzzy (fuzzy analytic hierarchy process (FAHP) approach to help the decision makers/retailers in practicing and judging the priorities of service quality strategies and accordingly benchmarking retail stores in Indian retail environment. Design/methodology/approach – The study incorporated the five basic dimensions of Retail Service Quality Scale proposed by Dabholkar et al. (1996) and the FAHP approach to three leading apparel retail stores of a major city (Rourkela) of Orissa (an Indian state located in eastern part of the country) to determine the weights of criteria and sub-criteria of retail service quality. Findings – The study identified that the dimensions, namely, personal interaction, physical aspects, reliability and policy are perceived as important by the Indian consumers. Merchandise and the store’s willingness to handle returns and exchanges emerge as the most influencing variable affecting the overall service quality of the store. Research limitations/implications – The study was restricted to a major city of Orissa and to three apparel stores. The results obtained may not be extrapolated to the country as a whole. The authors believe that the integrated approach of FAHP could be used by a variety of service industries to evaluate the service quality. The study did not investigate switching behavior among the respondents as they had been visiting all the three apparel stores during the preceding months. Practical implications – The integrated approach of FAHP makes an empirical contribution to the service quality and retail marketing literature by overcoming the uncertainty of concepts those are associated with human beings’ subjective judgments. Social implications – The retailer can improve the quality of service provided by them based on the parameters important in Indian context, which will lead to higher customer satisfaction. Originality/value – This paper can help the retail service providers to identify which of the retail service quality dimensions requires much attention to create sustainable competitive advantage.

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Sherin, B. "A Study on the Growth in Apparel Retail Sector." AMBER – ABBS Management Business and Entrepreneurship Review 7, no. 2 (November 1, 2016): 69. http://dx.doi.org/10.23874/amber/2016/v7/i2/121789.

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Shaw, Katherine, and Pauline Sullivan. "Retail place attachment: a qualitative study of apparel shoppers." Journal of Global Fashion Marketing 4, no. 4 (September 2013): 284–98. http://dx.doi.org/10.1080/20932685.2013.822682.

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Hathcote, Jan M., and Deborah D. Schulte. "Specialty Retail Buyers' Evaluations of Regional Apparel Marts' Attributes." Clothing and Textiles Research Journal 14, no. 3 (June 1996): 192–99. http://dx.doi.org/10.1177/0887302x9601400304.

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Olofsson, Linnea, and Cecilia Mark-Herbert. "Creating Shared Values by Integrating UN Sustainable Development Goals in Corporate Communication—The Case of Apparel Retail." Sustainability 12, no. 21 (October 23, 2020): 8806. http://dx.doi.org/10.3390/su12218806.

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The textile and apparel industry, while endowed with enormous potential related to the development of countries, is continuously drawing attention to its negative sustainability impacts along their value chains. While apparel retail has been an early adopter to integrate the Sustainable Development Goals (SDGs) into sustainability reports, critics point to the fact that linking sustainability activities to the SDGs is not enough, and cherry-picking low hanging fruit goals is insufficient. To address this potential discrepancy between action and communication, the aim of this study is to explain the perceived value of SDG integration in sustainability reporting in apparel retail. A comparative case study has been conducted of two Swedish apparel retail companies, Lindex and Filippa K, where six sustainability reports from 2015–2017 were reviewed. Empirical findings suggest that there is a correlation between SDG integration, communication maturity, and SDG contribution. The study points to the guiding role the SDGs may have to expand the scope of corporate impact and value in sustainability communication.

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Selvabaskar, Dr S., Dr K. G. Prasanna Sivagami, Dr K. Nigama, and Dr R. Alamelu. "Role Of Visual Merchandise Elements In A Mall Environment." Restaurant Business 118, no. 8 (August 23, 2019): 73–79. http://dx.doi.org/10.26643/rb.v118i8.6953.

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Visual merchandising in apparel retail stores is gaining its own importance in presentation and selling of merchandise. It influences the customer to a greater extent especially in shopping malls where people do window shopping. The main objective of this paper is to highlight various Visual Merchandising (VM) trends observed in shopping malls with reference to apparel retail and the related perception of the shoppers.

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S, KUMAR, and VARADARAJ S. "A study on customer perception & product quality of organized retail outlets with special reference to pothys in madurai." Journal of Management and Science 1, no. 1 (June 30, 2013): 153–62. http://dx.doi.org/10.26524/jms.2013.21.

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The purpose of this study is to identify the customer perception and product quality of apparel consumer in apparel product categories, in the context of the evolving organized retail industry in India. With the help of customer perception of retail outlets increase their sale and provide total customer satisfaction. These Retail Outlets increase the India as well as in all over the world. The term customer perception refers to the perception that customers display in searching forpurchasing, using, evaluating and disposing of products and services that they will expect will satisfy their needs. The paper attempts to correlate the distinct store features as perceived by respondents with the true motivations of various customers in perception and product quality of organized outlets. In the process it provides insight of various attributes influencing the customer of an average Indian customer. The sample size used in the study consists of 100 respondents of apparel retail outlets. The study conducted is analytic in nature aimed at finding out the customer perception and product quality of apparel retail outlets. The conclusion of the study was that the suggestions were the increase after having analysed interpreted the findings. It is concluded that customer perception and product quality of retail outlets play a significant role to enhance the perception with customers and provide total customer satisfaction. It signifies that several factors, then after set hypothesis to accept and reject hypothesis. The study for future study is that is to feel up form with customers sensuously and takeinterview of customer, who walking in the shop floor of Retail Outlet. And to know in-depth psychology and perception of customers, it will give better result for study.

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Miotto, Ana Paula, and Juracy Gomes Parente. "Retail evolution model in emerging markets: apparel store formats in Brazil." International Journal of Retail & Distribution Management 43, no. 3 (March 9, 2015): 242–60. http://dx.doi.org/10.1108/ijrdm-03-2012-0025.

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Purpose – The purpose of this paper is to develop a taxonomy to describe and synthesize the retail strategies and store formats in the fast-changing modernization context of emerging markets. It identifies how these different formats are related to the existing literature about retail evolution. The paper proposes analogies between the empirical findings and the Big Middle Theory model developed by Levy et al. (2005). Design/methodology/approach – Structured observations and personal interviews were conducted with managers/owners of 108 apparel stores located in three unplanned shopping districts in São Paulo, Brazil. Cluster analysis was used to derive the store formats. Findings – The results identify four store formats – old fashioned, price focused, specialized, and consolidated – reflecting diverse marketing strategies and different stages in the retailing modernization cycle. There is a striking resemblance between these empirically derived formats and the four types of retail segments (Big Middle, Low price, Innovative, and in Trouble) proposed by the Big Middle model. Research limitations/implications – There are limitations due to the exploratory nature of the research: the specific context (São Paulo, apparel retail sector) where the empirical data was collected restricts the generalization of the results to other situations; lack of precision in the appraisal of the variables might limit the research replicability. Nevertheless, this research contributes to expanding the scarce knowledge about the retailing phenomenon in emerging markets. An extension of the Big Middle model is suggested to depict the existing retail formats in emerging markets, offering therefore a theoretical contribution to the retail literature. Practical implications – The study provides retailers with a framework against which to map their format, competitive strategy, and stages of the modernization cycle, enabling them to better adjust the configuration of their marketing mix variables. It also offers a classification scheme of stores formats which will help to describe the apparel retailing industry in emerging markets. Social implications – Public policies are suggested to technically assist the modernization process and survival of more vulnerable retail formats. Originality/value – Considering the fast-growing economic importance of the new “low-middle class” of emerging markets, and also the relevance of apparel retailing, this research is relevant and unique because it helps to bridge a gap in the limited literature and knowledge in this area.

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Gong, Mao-Jun, and Jing Wang. "The Competitive and Development Strategy of China’s Local Fast Fashion Apparel Enterprises under New Retail Model." Business Prospects 1, no. 1 (December 1, 2020): 66–77. http://dx.doi.org/10.52288/bp.27089851.2020.12.05.

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China’s apparel industry has developed greatly and became the world’s largest apparel production and processing base. With its price advantage, popular style, offline stores and online purchase convenience, fast fashion appealed growing consumers of different ages and areas. In recent years, China’s fast fashion clothing has developed rapidly and the market has gradually grown through increases in Cross-border E-commerce activities. SheIn, a Chinese fast fashion apparel enterprise, neither targeted its home country nor sold well there. Instead, the fast fashion online retailer primarily targeted its overseas markets and earned billions of dollars in sales. This research takes the cross-border fast fashion brand SheIn, as an example, to explore the future competitive and development strategy of China’s local fast fashion apparel enterprises under new retail model. Our results suggest that paying more attention to domestic markets, increasing the stability of APPs, improving the quality of products, and choosing suitable Cross-border E-commerce platforms may be the competitiveness-increase strategies for SheIn in the future.

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Pande, Smriti, Ruby Sengar, and Narendra Singh Chaudhary. "Evaluating performance of apparel retail stores using data envelopment analysis." International Journal of Business Excellence 22, no. 1 (2020): 19. http://dx.doi.org/10.1504/ijbex.2020.109211.

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Chaudhary, Narendra Singh, Ruby Sengar, and Smriti Pande. "EVALUATING PERFORMANCE OF APPAREL RETAIL STORES USING DATA ENVELOPMENT ANALYSIS." International Journal of Business Excellence 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijbex.2019.10021020.

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Sullivan, Pauline, Jiyun Kang, and Jeanne Heitmeyer. "Fashion involvement and experiential value: Gen Y retail apparel patronage." International Review of Retail, Distribution and Consumer Research 22, no. 5 (December 2012): 459–83. http://dx.doi.org/10.1080/09593969.2012.711252.

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Ribeiro, Rodrigo Otávio de Araújo, Lidia Angulo Meza, and Annibal Parracho Sant'Anna. "Probabilistic Preferences Composition in the Classification of Apparel Retail Stores." International Journal of Business Analytics 2, no. 4 (October 2015): 64–78. http://dx.doi.org/10.4018/ijban.2015100104.

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This paper employs the probabilistic composition of preferences to classify stores by their operational efficiency. Probabilistic composition of preferences is a multicriteria analysis methodology based on the transformation of assessments by multiple attributes into probabilities of choice. The numerical initial measurements provide estimates for location parameters of probability distributions that are compared to measure the preferences. The probabilities of choice according to each attribute separately are aggregated according to probabilistic composition rules. A classification of two sets of stores into five classes is performed.

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Tolbert, Sheila, Brenda Sternquist, and Bonnie Davis. "Retail Buyers: Perceptions of the Apparel Industry "Buy American" Campaign." Clothing and Textiles Research Journal 6, no. 4 (June 1988): 1–5. http://dx.doi.org/10.1177/0887302x8800600401.

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Carpenter, Jason M., and Ann Fairhurst. "Consumer shopping value, satisfaction, and loyalty for retail apparel brands." Journal of Fashion Marketing and Management: An International Journal 9, no. 3 (September 2005): 256–69. http://dx.doi.org/10.1108/13612020510610408.

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Kim, Jung‐Hwan, Minjeong Kim, and Sharron J. Lennon. "Information components of apparel retail web sites: task relevance approach." Journal of Fashion Marketing and Management: An International Journal 11, no. 4 (September 25, 2007): 494–510. http://dx.doi.org/10.1108/13612020710824562.

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Seock, Yoo‐Kyoung, and Nicki Sauls. "Hispanic consumers' shopping orientation and apparel retail store evaluation criteria." Journal of Fashion Marketing and Management: An International Journal 12, no. 4 (September 19, 2008): 469–86. http://dx.doi.org/10.1108/13612020810906137.

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de Leeuw, Sander, Beatriz Minguela-Rata, Ehsan Sabet, Jaap Boter, and Runa Sigurðardóttir. "Trade-offs in managing commercial consumer returns for online apparel retail." International Journal of Operations & Production Management 36, no. 6 (June 6, 2016): 710–31. http://dx.doi.org/10.1108/ijopm-01-2015-0010.

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Purpose – The purpose of this paper is to investigate how online apparel retailers make trade-offs in achieving efficiency in handling consumer returns, attempting to reduce the number of consumer returns they are faced with and increasing sales through returns management. Design/methodology/approach – The authors use literature to develop propositions and employed a case study research design to understand how online apparel retailers make trade-offs in returns management practices in order to verify the propositions. Case study subjects have been anonimized. Findings – The authors have developed and verified five propositions with the aim to understand how retailers make trade-offs in reducing the number of online consumer returns, increasing the effectiveness of handling online consumer returns and increasing sales through returns management. Research limitations/implications – The research is limited by the use of interview data from cases, a focus on apparel retail only and by the use of companies located in the Netherlands only. Practical implications – The propositions help managers make trade-offs in reducing the number of returns versus increasing sales through returns management versus increasing the effectiveness of handling consumer returns. Social implications – Consumer returns lead to a significant flow of items from consumers back to online retailers, in particular in fashion. Reduction of this flow decreases social and environmental impacts through reduced transport and handling requirements. Originality/value – Several authors identify that more empirical research is welcome in the area of returns management. The research aims to contribute to this gap by focussing at how online apparel retailers make trade-offs in achieving efficiency in handling returns, increasing sales through returns management and attempting to reduce the number of consumer returns they receive.

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M K M, Manikandan. "A Study on Identification of Consumer Groups buying at Apparel Retail Store: A Cluster Analysis." Ushus - Journal of Business Management 12, no. 4 (September 9, 2013): 105–14. http://dx.doi.org/10.12725/ujbm.25.6.

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The Indian Retail Industry is growing at such a fast rate that many foreign retailers want to capitalize on the growth momentum and the opportunity offered by the growing buying power of middle class. Many retailers are already present in Indian retail landscape and they are finding it difficult to run the business profitably. Not many India specific retail research has been carried out so far. Of late many researchers are coming up with studies that focus on India specific retailing. This study tries to study the type of customers who are visiting the apparel retailers and tries to group them based on certain parameters like their occupation, continued patronage and age. Cluster analysis is used as a statistical tool to group the sample into various groups. The result indicates the existence of four types of customer groups for the apparel retailing stores

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Wu, Chun Sheng, and Qiao Ying Wu. "Redesigning the Apparel Product Development Process Based on the No-Interval Coherently Phased Product Development Model." Advanced Materials Research 331 (September 2011): 603–6. http://dx.doi.org/10.4028/www.scientific.net/amr.331.603.

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The objective of the research was to redesign generic process of the apparel product development adopted in Chinese apparel enterprises currently by comparing and analyzing several important models. The revised apparel retail product development model by Wickett, Gaskill and Damhorst, Kunz’s taxonomy of the apparel merchandising system, and the no-interval coherently phased product development model for apparel (NICPPD) by May-Plumlee and Little were analyzed. The key factors of product development process that need to be improved were anylized according to the NICPPD model. The end result was the redesigned process of apparel product development.

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Peng, Yichen, Jing Zhou, and Xiaoling Wu. "A Study on Project Duration Incentives in a Retail Apparel Franchise." Sustainability 7, no. 2 (February 16, 2015): 2145–60. http://dx.doi.org/10.3390/su7022145.

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Jung, Eun-Ae, Hyun-Gun Sung, and Jeong-Hyun Rho. "Analysis on Influence Factors for Apparel Retail Sales Considering Spatial Autocorrelation." Journal of korea Planners Association 50, no. 5 (August 31, 2015): 215. http://dx.doi.org/10.17208/jkpa.2015.08.50.5.215.

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Oldham Kind, Kennita, and Jan M. Hathcote. "Speciality‐size college females: Satisfaction with retail outlets and apparel fit." Journal of Fashion Marketing and Management: An International Journal 4, no. 4 (April 2000): 315–24. http://dx.doi.org/10.1108/eb022599.

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Mann, Manveer, and Sang‐Eun Byun. "Accessing opportunities in apparel retail sectors in India: Porter's diamond approach." Journal of Fashion Marketing and Management: An International Journal 15, no. 2 (May 10, 2011): 194–210. http://dx.doi.org/10.1108/13612021111132636.

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Mamic, Ivanka. "Managing Global Supply Chain: The Sports Footwear, Apparel and Retail Sectors." Journal of Business Ethics 59, no. 1-2 (June 2005): 81–100. http://dx.doi.org/10.1007/s10551-005-3415-y.

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Zhou, Wei, and Selwyn Piramuthu. "Preventing ticket-switching of RFID-tagged items in apparel retail stores." Decision Support Systems 55, no. 3 (June 2013): 802–10. http://dx.doi.org/10.1016/j.dss.2013.03.005.

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Parker, Christopher J., and Lu Wenyu. "What influences Chinese fashion retail? Shopping motivations, demographics and spending." Journal of Fashion Marketing and Management: An International Journal 23, no. 2 (May 13, 2019): 158–75. http://dx.doi.org/10.1108/jfmm-09-2017-0093.

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PurposeThe purpose of this paper is to establish the influence of shopping motivations on Chinese fashion retail engagement relative to demographics, monthly spend on fashion items and high street/electronic commerce (e-commerce) preference. This is to determine how international fashion retailers should design more effective retails channels, expanding upon established theory in Hedonic and utilitarian motivations. While earlier research suggests shopping motivations associate with demographics while influencing retail channel preference and consumer spending, much of this exploration is Western focused, with all variables being influential. However, the degree to which these apply to China, and the unique fingerprint of influential motivations remains unknown. This paper answers these questions to allow international retailers to develop more efficient marketing strategies and design more effective retail channels.Design/methodology/approachIn all, 403 Chinese consumers generalisable to the broader population were surveyed on their hedonic and utilitarian motivations to shop for fashion apparel in high street and e-commerce environments. Statistical analysis was commenced through direct logistic regression and MANOVA.FindingsDemographics have limited association with shopping motivations, with gender and age only producing small effect sizes, while occupation, income and education has no significance. High street store preference is influenced by adventure and social shopping and e-commerce preference only by idea shopping. Spending over ¥1k per month on fashion apparel is influenced by gratification and idea shopping, and regular spending habits inspired by value shopping.Originality/valueThis empirical paper characterises the fingerprint of shopping motivations’ influence as singular to China while proving their limitation and need for a wider plethora of influential factors to be recognised.

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