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This study aims to identify the irritating aspects in the mall environment that impact shoppers with disability and explore the opportunities to design inclusive mall environments.

A mixed-methods design was used in which data collected using a survey (n = 1,434 shoppers with and without disability) were analyzed by structural equation modeling (SEM) and repeated-measures two-way ANOVA. In addition, qualitative data were obtained from critical incident technique (CIT) stories (n = 521) from shoppers with and without disability.

Mall environmental irritants evoke feelings of irritation that mediate the impacts of “inconvenient ambient conditions,” “the annoying socialscape” and “overwhelming design and atmospherics” on decreased mall-visit frequency. Compared with shoppers without disability, shoppers with disability suffer more from these irritating aspects of the mall environment, as evidenced by significantly greater high-activation unpleasant emotions. The “poor access and accessibility” category of irritants mainly affects the mall experiences of shoppers with disability.

Based on the findings, this study offers spatial-, temporal-, social-, material- and virtual-oriented recommendations for the design of inclusive retail spaces. The authors suggest that people with disability have a unique “lived experience” perspective on retail environments and that solutions should be co-created based on ongoing consultations with shoppers and employees with disability.

To the best of the authors’ knowledge, this study offers the first systematic, comprehensive comparison of the impact of environmental irritants on shoppers with and without disability and extends the literature on irritating aspects of retail environments from individual stores to malls.

The concept of developing clothing sizes has taken importance in recent years due to increasing expectations of consumers for branded clothing and its value in terms of fit and durability. The kids’ ready-to-wear brands are expected to pose the least fit issues, thereby covering a wider population of a particular size. This necessitates the standardization of measurements. The lack of standardized approaches has caused fit issues like mismatching of sizes and alterations, in a heterogenous consumer market, like India. The performance of branded apparel depends on the quality of the measurements considered in developing sizes and the approach for standardization. There is a lacuna in the measurements used by the kids’ apparel domestic brands. This study aims to propose an anthropometric approach for deriving quality measurements that can be used effectively in developing kids’ sizes to fit a wider population of kids, thereby reducing the need for alterations.

The measurement data was gathered through the quantitative method. An anthropometric survey was conducted by measuring school kids. A total of 544 kids (girls and boys) of age group 6–8 years were measured to obtain prime anthropometric measurements required for ready-to-wear apparel production. WHO manual and ISO 8559, 1998 meant for anthropometry survey for garment industry was referred for accurate measuring following the landmarks for measuring.

The findings revealed differences in the anthropometric measurements based on gender and age. The anthropometric measurements showed variations within the same body mass index (BMI) range. S, M and L sizes were identified within an age group. The apparel manufacturers and designers need to focus on the discrepancies occurring in the body measurements of an age group to address and control fit issues in kids ready to wear apparel.

The anthropometric approach can be significantly used to control undesired fit and comfort issues in kids’ ready-to-wear apparel.

This study helped to understand the importance of scientific measuring practices to arrive at standardized measurements to develop sizes in ready-to-wear apparel manufacturing.

The case study aims to provide students with an understanding of the challenges businesses face expanding into the home market after having an international presence through exports. It also throws light on operations in an emerging market economy – both rural and urban. The key objectives are to understand the leather footwear business operation in India, understand the challenges of expanding business in India, analyse strategies adopted to sustain and compete in India and identify the possible distribution strategies for the leather footwear business in India.

The case study focuses on Tata International Limited’s (TIL) leather and leather products business in India. The leather and leather products division was present in India since 1973 (Anand, 2020) and exported to more than 35 countries across the world (Anand, 2020). TIL did not want to miss the opportunity available in India and planned to expand its leather footwear business in the country. The company opened retail outlets in major Indian cities and an experience store in Dewas (Madhya Pradesh) in 2019. It aimed for a domestic presence along with the existing export business. However, the biggest challenge that was in front of V. Muthukumaran, head of leather products division at TIL, was how to go ahead with the idea of domestic expansion (Anand, 2020). Should the company expand the market through sister companies (Westside and Tata CliQ) in India? How and in what way should TIL plan for going through Westside and Tata CLiQ? Should Muthukumaran think of either the brick-and-mortar route or the online route or both?

This case study is designed for use in undergraduate and graduate early-stage programmes. This case study is primarily designed for use in Master of Business Administration and/or Bachelor of Business Administration programmes. The case study is ideal for courses on understanding the expansion in the domestic market, strategy, retail and international marketing. The teaching note discusses theoretical frameworks such as external environment analysis and SWOT analysis to devise distribution strategies. The case study mapped the distribution channel and decision alternatives for the company.

Teaching notes are available for educators only.

CSS 8: Marketing.

Suning Group launched Suning.com when its chain stores were developing at the highest speed, realizing the transformation to an Internet retailer. Suning continued to follow the growth strategy of “Technological transformation and Smart Services”, and was renamed Suning Commerce Co. Ltd. It launched a business model of “e-commerce + stores + retail service providers”. Riding on the brand new O2O business model, Suning is thinking and practicing from simple donation to actual implementation, from constructing public welfare network to extending CSR ecosystem in a bid to advance towards deeper and more extensive Internet economy, and to create greater social value.

This study was carried out to analyze the importance of consumer preference data in forecasting demand in apparel retailing.

To collect preference data, 729 hypothetical stock keeping units (SKU) were derived using a full factorial design, from a combination of six attributes and three levels each. From the hypothetical SKU's, 63 practical SKU's were selected for further analysis. Two hundred two responses were collected from a store intercept survey. Respondents' utility scores for all 63 SKUs were calculated using conjoint analysis. In estimating aggregate demand, to allow for consumer substitution and to make the SKU available when a consumer wishes to buy more than one item in the same SKU, top three highly preferred SKU's utility scores of each individual were selected and classified using a decision tree and was aggregated. A choice rule was modeled to include substitution; by applying this choice rule, aggregate demand was estimated.

The respondents' utility scores were calculated. The value of Kendall's tau is 0.88, the value of Pearson's R is 0.98 and internal predictive validity using Kendall's tau is 1.00, and this shows the high quality of data obtained. The proposed model was used to estimate the demand for 63 SKUs. The demand was estimated at 6.04 per cent for the SKU cotton, regular style, half sleeve, medium priced, private label. The proposed model for estimating demand using consumer preference data gave better estimates close to actual sales than expert opinion data. The Spearman's rank correlation between actual sales and consumer preference data is 0.338 and is significant at 5 per cent level. The Spearman's rank correlation between actual sales and expert opinion is −0.059, and there is no significant relation between expert opinion data and actual sales. Thus, consumer preference model proves to be better in estimating demand than expert opinion data.

There has been a considerable amount of work done in choice-based models. There is a lot of scope in working in deterministic models.

The proposed consumer preference-based demand estimation model can be beneficial to the apparel retailers in increasing their profit by reducing stock-out and overstocking situations. Though conjoint analysis is used in demand estimation in other industries, it is not used in apparel for demand estimations and can be greater use in its simplest form.

This research is the first one to model consumer preferences-based data to estimate demand in apparel. This research was practically tested in an apparel retail store. It is original.

Secret consumption refers to consumption of a product in a private situation, with the intent or behavior of hiding the consumption from others. This study contributes to the secret consumption literature by identifying the antecedents of secret consumption along with the explaining mechanism and boundary condition.

An online study with experiment design was conducted to examine the impact of extroversion/introversion, self-presentation and product scarcity on secrete consumption.

The results show that consumer extraverted disposition and the self-presentation motive negatively influence secret consumption intention and suggest this relationship is explained by the self-presentation need. The findings also revealed that perceived product scarcity attenuated the negative impact of extraversion and self-presentation on secret consumption intention.

The findings provide interesting insights into advertising and retailing. In recognizing that secret consumption is a prevalent phenomenon in consumer behavior that may improve actual consumer product evaluation and preference, retailers or brand managers may encourage consumers to consume secretly.

This empirical study is a first attempt to explore the antecedents, mediating mechanism and boundary condition of consumer intention to engage in secrete consumption. The findings of the study provide important implication to theoretical development and managerial applications in advertising and retailing.

This research aims to conceptualize and validate the mall service design as a multidimensional construct and then test a conceptual framework by investigating the impact of mall service design on customer mall experience and its subsequent outcomes, that is, intention to revisit and desire to stay in mega shopping malls.

The survey data of 455 shopping visitors in Pakistan were collected using a mall intercept technique and tested through structural equation modeling in AMOS.

The study reveals that service design significantly impacts customer experience and subsequent outcomes. Customer mall experience mediates the relationships between mall service design and the intention to revisit and desire to stay at malls.

Data from a collectivist culture country (Pakistan) were collected. To explore the impact of service design on customer mall experience, researchers should conduct similar studies in individualistic societies like Europe and North America. Additionally, the authors recommend assessing the effect of each dimension of service design on customer experience separately.

The research provides policy guidelines for the owners and operators of mega shopping malls in developing experience-oriented retailing strategies based on service design.

The research conceptualizes and validates the mall service design as a multidimensional construct using the service theater model and empirically tests its relationship with the customer mall experience.

The purpose of this study is to test the relationship between mall relevance dimensions [(functional relevance (FNR), symbolic relevance (SYR), social relevance (SOR) and environmental relevance (ENR)] and shoppers' well-being (SWB), which in turn influences mall loyalty (ML). In addition, this study aims to investigate the moderating effect of social media celebrities (SMCs) on the association between SWB and ML.

A mall intercept survey was used to collect responses from mall shoppers. The authors received 426 valid responses from mall shoppers in Pakistan's three metropolitan cities (i.e. Karachi, Lahore and Islamabad). To test the hypotheses, partial least squares structural equation modelling (PLS-SEM) was used.

Findings reveal that FNR, SYR, ENR and SOR significantly and positively influence SWB. Similarly, SWB significantly affects ML. Moreover, SMCs moderate the positive relationship between SWB and ML.

This study is one of the pioneer studies examining mall relevance dimensions on SWB. In addition, this study contributes to the retailing literature by testing the moderation effect of SMCs on the relationship between SWB and ML. Likewise, this study provides insights for mall administration to focus on mall relevance in terms of FNR, SYR, ENR and SOR to enhance the current and prospects' SWB. Next, SMCs play a key role in enhancing SWB and ML.

The case is written based on publicly available data from primary sources such as the company’s annual reports, company website and the company’s presentations, as well as from secondary sources comprising newspaper articles, research papers, research magazines, magazine articles, industry reports, research reports, etc. as indicated in the references. The company’s financials and peer data are sourced from the Thomson Reuters Eikon database.

The case examines the financial position of Macy’s, Inc., America’s largest and one of the oldest premier departmental stores, with a consolidated annual turnover of US$18,097m in the fiscal year 2020/2021 (FY, 2021). Over the previous few years, the company had been struggling with decreasing market share and profitability mainly due to increasing competition from online retailers and deep discounters, which was affecting the company’s share price. With the appointment of a new chief executive officer (CEO) in fiscal year (FY) 2017, Macy’s, Inc. undertook several changes to revive its financial health and improve its market share. However, it still registered heavy losses of US$3,944m in the FY 2020/2021, the company’s first time in the past decade. With many retailers filing for bankruptcy, was there more that Macy’s could do to improve the company’s position and regain lost investor confidence? Will its entry into emerging markets play a crucial role in its turnaround?

The case can be used in undergraduate and postgraduate courses such as accounting for managers, financial statement analysis, management accounting, introduction to accounting and advanced financial statement analysis. The case can also be effectively used to understand the primary fundamental analysis of the company that involves understanding the company’s positioning and strengths, weaknesses, opportunities and threats analysis. The case would also help business management and entrepreneurship students to get a preliminary idea about the change management process. Finally, the case can be used to familiarize students with using Microsoft Excel to build financial analysis worksheets.

Teaching notes are available for educators only.

Pet-friendly hotels are growing rapidly. The prevalence of pet adoption has largely resulted from the loneliness due to social distancing that happened during the Coronavirus disease 2019 pandemic. Many hotels around the world aim to become pet-friendly to satisfy the growing demand. Hoteliers believe that the popularity of pet-friendly hotels will continue, as pet owners often treat pets as their kids. This study aims to investigate how pet-friendly hotels need to design and manage pet-friendly services and policies.

Using grounded theory methodology, this research conducts interviews with 25 pet-friendly hotel managers from Hong Kong (HK). The study includes hotels from different hotel categories and classifications. It examines the conceptualization of pet-friendly service design, drawing on a service blueprint.

Building on the service marketing and service blueprint literature, this research provides a synthesis that reflects how pet-friendly hotels can serve both guests with and without pets. The findings reveal that pet-owner’s service expectations are formed on anthropomorphism, that is, an inclination of attributing human features to nonhuman entity. Hotel managers, and particular those who have pets personally understand better how pet-friendly service can be adapted to meet the expectations and requirements of pet owners while accommodating guests without pets. The market of pet-friendly hospitality is growing, with high profit potential from pet owners who are willing to spend generously.

Data were collected from selected pet-friendly hotels in HK through interviews with pet-friendly service providers. The research is qualitative and exploratory in nature. It aims to explore and examine the multilevel pet-friendly hospitality service design from a managerial perspective. This research enriches the literature on anthropomorphism theory, the design of pet-friendly services and the application of service blueprint.

The research offers explicit suggestions for the design of pet-friendly hospitality services. A pet-friendly hotel service blueprint is developed. This can help managers to develop essential pet-friendly policies and service collaborations between internal departments and with external specialist organizations, maximizing the value for all stakeholders.

The study explores a rapidly emerging market and scrutinizes its specific design requirements. It extends theoretical insights by enriching the anthropomorphism theory and broadening the conceptualizations of service blueprint based on anthropomorphism theory.