A Study on the Standard for Indoor Illuminance Considering the Needs of the Elderly - Focused on Five Department Stores and Shopping Malls in Seoul -

2021 ◽  
Vol 32 (6) ◽  
pp. 69-80
Author(s):  
pinxuan Huang ◽  
Ji Young Cho
2018 ◽  
Vol 8 (1) ◽  
Author(s):  
MSc. Kujtim Hameli

retail sector probably is the most important sector of economy because it has to do directly with consumer. It includes all stores, from kiosks and small groceries to supermarket chains and shopping malls that sell products and services to final consumer for personal and household use. The aim of this paper is to make an investigation of retail sector and its business type. To gather the data, second resources has been used. A deeply scanning of literature has been performed. According to the investigation, the retailing sector generally is organized in two main groups: the retailing within the store and retailing out of the store.Retailing within the store is classified according to different characteristics, but the most important types of classification are those based on the form of the ownership, merchandise and price. According to the ownership-based classification, the most important types are independent stores, chain stores, franchising and leased department stores. According to the merchandise-based classification the most important types of retailing are department stores, supermarkets, specialty stores, convenient stores, superstores and retailer services. According to the price-based classification, the most important types of retailing are discount stores, factory outlets, category killers, off-price stores, warehouse clubs and hypermarkets. According to the place-based classification the most important type of retailing are shopping centers. The most important types of retailing out of the store are direct selling, direct marketing and automatic vending machines selling.


2003 ◽  
Vol 39 (4) ◽  
pp. 353-371 ◽  
Author(s):  
Ken W. Parker

The department stores of the 19th century continue to fascinate social theorists. This article will expand on the work of two such theorists, Laermans and Featherstone. Extending Laermans’ and Featherstone’s analysis, and applying the early work of Baudrillard, this article will assert that through the manipulation of visual merchandising, the 19th-century department store’s managers constructed a world of sign-consumption where goods were not only consumed for their use- or exchange-value, but also were consumed as signs of luxury, exoticism and excess. By asserting that highly developed forms of sign-consumption existed in the 19th century, this article challenges the view that symbolic consumption in spaces such as shopping malls is particular to the contemporary or postmodern age.


2015 ◽  
Vol 19 (2) ◽  
pp. 188-204 ◽  
Author(s):  
Gopal Das

Purpose – The purpose of this paper is to explore the impacts of store attributes on consumer-based retailer equity (CBRE) dimensions. Design/methodology/approach – A mall-intercept survey was undertaken using a systematic sampling of department store shoppers of age 18 years and above in Kolkata, a metropolitan city in India. A survey questionnaire was used to collect data from busy shopping malls or retail stores located in different places of Kolkata. The impact of store attributes on CBRE dimensions was explored using stepwise regression analysis. Findings – Results revealed that different sets of store attributes affect various CBRE dimensions differently. Originality/value – This paper is probably the first to explore the link between store attributes and CBRE dimensions in an Indian and department stores contexts.


2016 ◽  
Vol 4 (12) ◽  
pp. 214-225
Author(s):  
Pankaj Kumar

The purpose of the study is to examine the effect of complaining behaviour on defection behaviour based on demographics (gender, age, marital status, education and, income level) of the dissatisfied customers of retail stores. A structured questionnaire was successfully distributed to 600 respondents, who had made purchases from sixty retail formats operated in Delhi and Gurugram belonging to the domain of Shopping Malls, Hypermarket, Supermarket, Department Stores, Discount stores and Category Killers through systematic stratified sampling for the collection of data. Out of 377 valid ones questionnaires for analysis, a set of 89 responsents have shown dissatisfaction about the retail store products and services and have taken in this study (N=89). Multiple regression analysis with forward selection was employed to predict the effect of complaining actions on defection behaviour based on demographics (gender, age, marital status, education and, income level) of the dissatisfied customers of retail stores. The study has found a significant effect of complaining actions on defection behaviour of dissatisfied customers of retail stores based on their education qualification and income level. However, gender, age and maritial status of dissatisfied customers did not moderate the the relationship between complaining actions and switching behaviour. The recommendations for managers are also discussed.


2020 ◽  
Vol 27 ◽  
pp. 67-76
Author(s):  
Grazia Napoli ◽  
Giulia Bonafede

Changes in consumer shopping behavior and in retail spaces, such as shopping malls, department stores and e-commerce, have modified localization models of traditional retail shops, also affecting urban fabric and spatial distribution of urban rent. Even city centers have undergone significant transformations or even decline, especially if local economic system and real estate market are weak and recessionary. A significant amount of commercial properties may have long vacancy due to excess supply, since many traditional shops close their business because they are no longer competitive and, moreover, there is no immediate takeover by new tenants. The decline of central urban areas depends on the interaction of multiple economic, social and cultural factors, but it can be countered by urban policies oriented not only to physical redevelopment of urban fabric, but also to social cohesion and multiculturalism. Migrants bearers of varied cultural values, coming from different continents and settling permanently in the Italian cities, have rented some of these empty properties by locating retail shops specifically oriented to their own communities or also to the citizens needs. The presence of migrants contributes, indeed, to support the retail real estate demand, to mitigate the minus-valorization of real estate capital and also to contain the revenues contraction. This phenomenon has been analyzed in some streets of the historic centre of Palermo that are traditionally shopping areas and have become the privileged place for locating retail shops managed by immigrants.


Author(s):  
Hein Carola

The future of the city is underground, says the Urban UndergroundSpace Center of Japan (USJ, 2016). And Japanese politicians clearlyagree. In 2001, the Diet passed a law about the use of the extremeunderground (daishindo), allowing some development of areas below 40 meters for public services without negotiations with owners of the land aboveground. Underground constructions are already everywhere throughout Japan. Beneath one of the densest and most crowded urban centers (Hongo, 2014), for example, Tokyo Station is connected through more than four kilometers of passageways to neighboring locations, including other major stations. They anchor another bustling city. Long passageways of underground shopping malls with restaurants are connected to subway entrances and to the high-speed Shinkansen Station. Aboveground, the land has seen extensive remodeling, fromcareful restoration of the old train station facing the Imperial Palace(Fig. 1) to the creation of new skyscrapers (Fig. 2) and a new entrance towards the Ginza shopping area (Figs. 3 and 4) (Tokyo Station, 2016).But below, the new Tokyo Station City, with its old and super-modern elements, attracts tourists and shoppers, not just passengers (Figs. 5 and 6). It has become an attraction in itself. Tokyo Station is not an exception: many other underground shopping malls lie under the capital’s major stations. Close to 3 kilometers of underground passages connect Shinjuku to the Tokyo Metropolitan Government office and other corporate skyscrapers, hotels, and department stores in its vicinity (Figs. 7, 8, and 9).


2008 ◽  
Vol 18 (2) ◽  
pp. 125-142
Author(s):  
Chieh-Hsin Tang ◽  
Yih-Cheng Lin ◽  
Sung-Yu Yuang ◽  
Chin-Hsing Huang ◽  
Ying-Ji Chuang ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chayanon Phucharoen ◽  
Tatiyaporn Jarumaneerat ◽  
Nichapat Sangkaew

Purpose Based on big data analytical and statistical techniques, this study aims to examine tourists’ shopping experiences at department stores and street markets in Phuket. Design/methodology/approach A Naïve Bayes machine learning algorithm was used to identify the most frequently used terms in TripAdvisor reviews of both department stores and street markets contributed by the same pool of 729 tourists. Findings A total of 18 out of 62 terms used were common in reviews of both shopping settings. However, the study found significant differences in the mean use of the 18 common terms and the likelihood of those terms being used in overall positive reviews. Practical implications The study’s findings indicate differences in tourist shopping experiences at department stores and street markets. Several concrete recommendations are made, including a greater focus on the linkage to the national characteristic of street markets, and particularly the quality of local fruit, to enhance the tourist shopping experience. Originality/value Understanding the differences between shopping malls and street markets from the tourist’s perspective would further enhance the coexistence of shopping malls and street markets in tourism-led growth cities. As such, using reviews of both shopping malls and street markets from an identical pool of tourists, the present study will analyse and compare tourists’ actual shopping experiences, thereby addressing this gap in the research canon via integrated statistical and big data analysis techniques.


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