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1
Joseph, Lawrence, and Michael Kuby. "The Location Types of US Retailers." International Journal of Applied Geospatial Research 7, no. 4 (October 2016): 1–22. http://dx.doi.org/10.4018/ijagr.2016100101.
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This manuscript presents the results of an inductive analysis of the types of locations chosen by US retailers. Using a large cross-sectional database, including fifty US retail chains and over 70,000 store locations, a classification of retail location types is presented using cluster analysis on situational and trade area data. These data are then applied to create a location profile for each retailer. Based on the results of the first cluster analysis, a second cluster analysis then groups together the chains with the most similar location profiles. A total of twelve distinct location types were identified in the first cluster analysis. Eight groupings of retailers with similar location profiles were identified in the second cluster analysis. Retailers within the same retail business chose similar types of locations and thus were placed in the same clusters. Retailers generally restrict their deployment to one of three overall strategies including metropolitan, large retail areas, or market size variety with specialty retailers favoring large retail areas of urban markets.
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Reynolds, Jonathan. "Retail location analysis: An annotated bibliography." Journal of Targeting, Measurement and Analysis for Marketing 13, no. 3 (April 2005): 258–66. http://dx.doi.org/10.1057/palgrave.jt.5740152.
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Adeniyi, Oluwole, Abraham Brown, and Paul Whysall. "Retail location preferences: A comparative analysis." Journal of Retailing and Consumer Services 55 (July 2020): 102146. http://dx.doi.org/10.1016/j.jretconser.2020.102146.
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Langston, P., G. P. Clarke, and D. B. Clarke. "Retail Saturation, Retail Location, and Retail Competition: An Analysis of British Grocery Retailing." Environment and Planning A: Economy and Space 29, no. 1 (January 1997): 77–104. http://dx.doi.org/10.1068/a290077.
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The appreciably dramatic idea that British grocery retailing is facing imminent saturation has attracted increasing attention particularly since the mid-1980s to late 1980s. In this paper we seek to review and attempt to sophisticate the debate over saturation by providing a detailed discussion and spatial analysis of current levels of retail provision. This analysis, in itself, offers a view of the potential for future retail expansion. We argue here, however, that spatial patterns of retail provision must be interpreted carefully, particularly given the profoundly different competitive conditions that characterise British grocery retailing in the 1990s as compared with the 1980s. In considering both the spatial patterns of, and competitive processes underlying, British food retailing, we offer an account of recent retail geography in a way that synthesises approaches that are all too frequently presented as antagonistic.
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K.Aparna, P. Murali Krishna, and V. Satish Kumar. "ANALYSIS OF RETAIL MIX STRATEGIES: A SPECIAL FOCUS ON MODERN RETAIL FORMATS." International Journal of Engineering Technologies and Management Research 5, no. 5 (February 27, 2020): 71–76. http://dx.doi.org/10.29121/ijetmr.v5.i5.2018.228.
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A shopper usually comes across many retailers in the market place, each having its own overall product offering. One retailer may be attracting customers due to its unbeatable location and visibility, other on the basis of discounted prices, someone on the basis of variety of merchandise or specialised product offering. If small retailers promise to offer the convenience of fulfilling the daily needs at your doorstep, the big retailers promise to offer better value in terms of competitive pricing and convenience of making all products available under the same roof. Then online retailers are trying to outsmart conventional retailers by killing time and distance constraints. Thus, it is seen that retail market place has become very competitive and challenging over a period of time. Market has already become tough due to increasing cultural and demographic diversity and changing lifestyles over a period of time. Every market has its own set of needs. Like any marketer, a retailer has to decide which kind of market it should cater to in a satisfactory manner. As a result, the retailer has to explore many options to differentiate themselves in the market place and appeal to its target customers. The options are available in the form of combining different elements of retail mix. Retail mix is mainly deciding about merchandise, price, promotional mix, location, services extended etc. to serve the needs of target market in a satisfactory manner. Retail format is the popular term used for retail mix. It bears close resemblance with marketing mix. In the ensuing study, discussion about various retail formats is carried on.
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Karamychev, Vladimir, and Peran van Reeven. "Retail sprawl and multi-store firms: An analysis of location choice by retail chains." Regional Science and Urban Economics 39, no. 3 (May 2009): 277–86. http://dx.doi.org/10.1016/j.regsciurbeco.2008.10.002.
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Hernandez, Tony, and Magnus Svindal. "Emerging Retail Strategies in Urban Canada." International Journal of Applied Geospatial Research 1, no. 2 (April 2010): 19–36. http://dx.doi.org/10.4018/jagr.2010020902.
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In this article, the authors examine the spatial distribution of major retail chains across Canada. Using store location data for 2001 and 2006, the geospatial approach adopted in this study allows for the analysis of retail chains’ store portfolios by the size of the resident population of the ‘markets’ within which they operate. The analysis presented highlights the dominance of chain locations within and proximal to Canada’s major urban markets and provides further evidence of increasing interest amongst a number of major chains in ‘small town’ (or ‘C’) markets. It points to a future in which these smaller markets will become more competitive with an increased presence of major retail chains. The findings reported can be seen as the locational imprint of the processes of corporate concentration taking place across Canada, fuelled by the interplay of increased competition, concerns over market saturation and the need to sustain growth.
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Sevtsuk, Andres, and Raul Kalvo. "Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size." Environment and Planning B: Urban Analytics and City Science 45, no. 3 (July 26, 2017): 508–28. http://dx.doi.org/10.1177/2399808317721930.
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We introduce a version of the Huff retail expenditure model, where retail demand depends on households’ access to retail centers. Household-level survey data suggest that total retail visits in a system of retail centers depends on the relative location pattern of stores and customers. This dependence opens up an important question—could overall visits to retail centers be increased with a more efficient spatial configuration of centers in planned new towns? To answer this question, we implement the model as an Urban Network Analysis tool in Rhinoceros 3D, where facility patronage can be analyzed along spatial networks and apply it in the context of the Punggol New Town in Singapore. Using fixed household locations, we first test how estimated store visits are affected by the assumption of whether shoppers come from homes or visit shops en route to local public transit stations. We then explore how adjusting both the locations and sizes of commercial centers can maximize overall visits, using automated simulations to test a large number of scenarios. The results show that location and size adjustments to already planned retail centers in a town can yield a 10% increase in estimated store visits. The methodology and tools developed for this analysis can be extended to other context for planning and right-sizing retail developments and other public facilities so as to maximize both user access and facilities usage.
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Trubint, Nikola, Ljubomir Ostojic, and Nebojsa Bojovic. "Determining an optimal retail location by using GIS." Yugoslav Journal of Operations Research 16, no. 2 (2006): 253–64. http://dx.doi.org/10.2298/yjor0602253t.
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Reengineering of retail networks is a continual process that has been in the forefront of management attention worldwide. The central question is how to achieve positive business results under high costs, but at the same time maintain the attained service quality. This reengineering process may be implemented successfully only if preceded by detailed preparations concerning, primarily, the analysis of business results, market potentials and retail outlet location. GIS tools offer a strong support to this process. Apart from theoretical considerations, this paper will also present the use of GIS as a tool in determining the optimal locations of the Serbian post retail.
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Johnson, Daniel K. N., Amy Schultheis, Kristina M. Lybecker, and Devin Nadar. "Buy here, or keep driving? The effect of geographic market density on retail gas prices." Journal of Business 1, no. 2 (March 21, 2016): 12. http://dx.doi.org/10.18533/job.v1i2.20.
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Using market data from six midsized U.S. metro areas with similar isolation from neighboring retail markets, this paper examines the effects of location on retail price, while controlling for brand effects. Spatial regression analysis accommodates the potential of spatially correlated errors, and sensitivity analysis tests for several measures of retail location concentration. Results point to reproducible brand premiums and some location-based price differences, but also show the counterintuitive finding that areas with more market competition do not show significantly lower retail gas prices.
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OSAWA, Minoru, Takashi AKAMATSU, and Yuki TAKAYAMA. "BIFURCATION ANALYSIS OF A RETAIL LOCATION MODEL WITH AGGLOMERATION ECONOMY." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 71, no. 3 (2015): 141–55. http://dx.doi.org/10.2208/jscejipm.71.141.
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Nakaya, Tomoki, A. Stewart Fotheringham, Kazumasa Hanaoka, Graham Clarke, Dimitris Ballas, and Keiji Yano. "Combining microsimulation and spatial interaction models for retail location analysis." Journal of Geographical Systems 9, no. 4 (September 1, 2007): 345–69. http://dx.doi.org/10.1007/s10109-007-0052-2.
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Yates, A. R., and K. A. Yeomans. "The selection of food shopping locations by UK suburban households: A multivariate analysis." South African Journal of Business Management 16, no. 4 (December 31, 1985): 171–80. http://dx.doi.org/10.4102/sajbm.v16i4.1092.
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In this article a behavioural model of retail location is discussed which differs from established models in two respects. Firstly, in the behavioural model the demand for retail outlets is emphasized rather than the supply of retail outlets. Secondly, psychological and sociological constructs are used to help explain store selection behaviour. The behavioural model differs from established location theory in that an attempt is made to study the act of shopping in relation to other human activities. The basic postulate of the model is that people are constrained in their shopping behaviour. People can then be rated on a scale of constraints, which can be used to predict store selection behaviour.
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Paroli, Eliziéle, and Clarice Maraschin. "Locational Attractiveness Modelling of Retail in Santa Maria, Brazil." Urban Science 2, no. 4 (October 16, 2018): 105. http://dx.doi.org/10.3390/urbansci2040105.
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A central topic in the retail analysis is store location, which is related to its attractiveness and even with its profitability. In order to determine the force of attraction of a given point of sale, methodologies based on gravitational models have been developed. More recently, classic models have been integrated with Geographic Information Systems (GIS). This paper explores a methodology for retail spatial analysis in a GIS environment, and it aims to: (a) model the degree of influence of different store location attributes on the consumer choice among a collection of retail options, and (b) develop an empirical application for the clothing retail business sector in the city of Santa Maria, RS, Brazil. The study selects three relevant location attributes of store choice: retail market clustering, local accessibility of the street network, and topographic slope of the terrain. These three location features were taken as inputs for the attractiveness evaluation of each store, using the Huff model. As a result, we were able to model the trading areas of each shop related to the selected attributes. The paper provides a methodology for modelling the performance of retail location attributes and building different scenarios of probabilities for consumer patronage, allowing a first measure of the influence of each selected store location attribute.
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Lupane, P. B. "SWOC Analysis of Kirana Shops." Shanlax International Journal of Commerce 7, no. 3 (July 1, 2019): 39–42. http://dx.doi.org/10.34293/commerce.v7i3.574.
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The private village shops are the backbone of rural retail marketing. Private retail shops are ideal agencies for village distribution. There are around 2 million sales outlets at the retail level in rural India. One retail shop is serving around 600 families in the rural retail marketing. The retailer to consumer ratio has been very low with many such shops often located close to people residence, near to home and at the corner of the street, thus making location and convenience a major factor for their popularity. Kirana shop is one of the easiest ways to generate self- employment as it requires limited investment in land, capital and human resource. Kirana shops are unique business models in India especially in rural areas which are offering personal services and quality products as per demand of customers. A Kirana shop normally a range from 25 to 400 square feet with a various range of products which are daily requirement of customers. The total area of Sangli district is 8,572 sq. Mt. and there are 10 talukas and 734 towns in Sangli district and registered kirana shops are 5,741. The researcher has collected required information and data from Kirana shopkeepers in Sangli district. The primary data is collected through questionnaire. Discussion, interviews, observation and necessary field work. The sample selection of kirana shops have been selected on the basis of ‘Stratified Sampling Method’. While selecting villages, factors considered are the geographical location of taluka, such as East, West, North, South and Middle, and one village from each direction has selected Therefore, researcher has used ‘ Proportionate Sampling Method’ for selecting taluka- wise kirana shops. Researcher has found that the kirana shops are competing with local bazaars which are to be started by big traders and wholesalers in the sample study area. Competition is the major factor for existence of Kirana shops. Recovery of dues from customers is another challenging problem of the existence of Kirana shops, The consumer behavior is changing because of new technology. Fashions, life styles etc. However, changing consumer behavior is affecting rural based kirana shops. So, now a day, they are suffering for their existence.
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CAGRI TOLGA, A., FATIH TUYSUZ, and CENGIZ KAHRAMAN. "A FUZZY MULTI-CRITERIA DECISION ANALYSIS APPROACH FOR RETAIL LOCATION SELECTION." International Journal of Information Technology & Decision Making 12, no. 04 (July 2013): 729–55. http://dx.doi.org/10.1142/s0219622013500272.
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This paper proposes fuzzy multi-criteria decision-making approach integrated with fuzzy real option value theory. The applicability of the proposed method was shown on a real-world supermarket location selection problem. Based on the interviews with the experts, the evaluation criteria for retail location selection were identified. Then the network for fuzzy analytic network process (ANP) method was constructed. The fuzzy real option value for each alternative was calculated and used in the proposed approach as the representative of the financial dimension. Finally, the preference ranking of alternatives and the relative importance of the criteria were obtained. The significant contribution of the proposed approach is that it integrates the financial dimension (FROV) of the location problem methodologically with the multi-criteria characteristic (FANP) of the problem. Another importance of this study is the first usage of real options valuation in the area of location selection science.
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Öner, Özge, and Johan P. Larsson. "Which retail services are co-located?" International Journal of Retail & Distribution Management 42, no. 4 (April 8, 2014): 281–97. http://dx.doi.org/10.1108/ijrdm-11-2012-0105.
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Purpose – Which retail services are co-located in space? Is it possible to categorize retail stores of different kinds with respect to their location pattern? Acknowledging the spatial dependency between different and similar kinds of retailing activities, the aim of this paper is to find if and to what extent co-location is present in a retail market and what kind of retailing activities are co-located. Design/methodology/approach – The authors analyse the co-location of different types of retail stores in Sweden by using geo-coded data. The data they use allows them to pinpoint each establishment in Sweden down to a 250 by 250m square in space. First, they identify a measure of co-location for each retail service by utilizing pairwise correlations between the different retail service establishments with respect to the squares in which they are present. Later, by using the finest level of industrial categorization for all physical retailing activities (and limiting their geographical unit to the Stockholm metropolitan market), they perform factor analysis to nest these retailing activities under relevant categories based on their co-location pattern. Findings – In this analysis the authors obtain four major factors for the squares with retail stores, in which several kinds of retail activities are nested. These factors reveal a certain degree of location commonality for the markets in question. Originality/value – The authors' empirical design is based on a highly disaggregated spatial information and the methodology is novel in a sense that it has not been used to address a similar question. Rather than sampling, the authors use the total population, where they take all physical retailing activities into account to be able to draw a general picture for the co-location phenomena in the entire retail market.
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BERTAZZON, STEFANIA, and ENRICO ZANINOTTO. "A trend surface analysis of retail location: an Italian case study." Ricerche Economiche 50, no. 2 (June 1996): 193–208. http://dx.doi.org/10.1006/reco.1996.0013.
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VANDELL, KERRY, and CHARLES CARTER. "Retail Store Location and Market Analysis: A Review of the Research." Journal of Real Estate Literature 2, no. 2 (January 1, 1994): 13–45. http://dx.doi.org/10.1080/10835547.1994.12090037.
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Sudha Sucandrawati, Ni Luh Ketut Ayu, and Ni Luh Parmi Widiasih. "Pengaruh Retail Marketing Mix Terhadap Unplanning Purchase Dicisions Pada Bisnis Minimart Di Desa Ubud Kabupaten Gianyar." Jurnal Ilmiah Satyagraha 2, no. 1 (June 8, 2020): 1–15. http://dx.doi.org/10.47532/jis.v2i1.51.
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The development of modern retail market today makes unplanned purchases or unplaning purchase dicisionsincreasing in society. This study aims to examine the effect of retail marketing mix on unplanned purchase desicions at Minimart shop in Ubud Village of Gianyar Bali Regency using sample of 86 people through slovin method. The analysis technique used is multiple linear regression analysis.The results of the analysis prove that retail marketing mix consisting of location, merchandise, pricing, promotion, atmosphere of outlets and retail service have a positive and partially significant effect on unplaning purchase dicisionsat Minimart shop in Ubud Village of Gianyar Bali Regency. Retail marketing mix consisting of location, merchandise, pricing, promotion, atmosphere of outlet and retail service have positive and significant influence simultaneously to unplaning purchase dicisionsat Minimart shop in Ubud Village of Gianyar Bali Regency.Suggestions that can be recommended to the management of Minimart in Ubud Village Gianyar regency of Bali to pay attention to matters related to retail marketing mix such as location, merchandise, pricing, promotion, atmosphere of outlets and retail service better in attracting visitors to do unplaning purchase dicisionsat Minimart in Ubud Village, Gianyar Regency, Bali. Locations provided for easily accessible visitors and ample parking. Merchandise provided to be more diverse in accordance with the needs of consumers. The price set to see the market competition so that consumers are willing to shop at Minimart. Providing attractive advertising and promotions to influence consumer purchases. The atmosphere in the booth is expected Minimart in Ubud Village Gianyar regency of Bali can provide wider space for visitors. Implementation of the maximum service in the service, ease of payment so as to attract unplaning purchase dicisionsin Minimart in Ubud Village Gianyar regency Bali.
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Shang, Rui. "Analysis of Bicycle-sharing Operation and Location Selection of Urban Retail Stores." IOP Conference Series: Materials Science and Engineering 569 (August 9, 2019): 052090. http://dx.doi.org/10.1088/1757-899x/569/5/052090.
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Wang, Fahui, Chen Chen, Chunliang Xiu, and Pingyu Zhang. "Location analysis of retail stores in Changchun, China: A street centrality perspective." Cities 41 (December 2014): 54–63. http://dx.doi.org/10.1016/j.cities.2014.05.005.
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Hao, Feilong, Yuxin Yang, and Shijun Wang. "Patterns of Location and Other Determinants of Retail Stores in Urban Commercial Districts in Changchun, China." Complexity 2021 (January 8, 2021): 1–14. http://dx.doi.org/10.1155/2021/8873374.
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Knowledge of the patterns of location of retail stores in urban areas supports the development of effective urban planning and the reasonable allocation of commercial facilities. Using point of interest data and consumer survey data in three main commercial districts in Changchun, China, this study investigates the spatial structures of commercial districts and the patterns of distribution of retail stores to assess the determinants of the development of retail stores in commercial districts. Kernel density estimation, nearest neighbor index, and Pearson’s correlation analysis were used for this study. The following conclusions are drawn. (1) The spatial distribution of retail stores in Changchun commercial districts generates the coexistence of a concentration in the core area and diffusion in the peripheral area. The emergence of shopping malls has challenged the traditional single-center structure, resulting in the transformation of commercial districts from single-center to multicenter layouts, while also producing a hierarchical trend in development. (2) The Chongqing Road and Hongqi Street commercial districts have a relatively high spatial concentration of retail stores. Retail stores in Guilin Road exhibit distinct characteristics, namely, stores selling textiles, clothing, and daily necessities show the highest concentration, and food, beverage, and tobacco outlets as well as integrated stores show the lowest concentration. (3) The selected locations of the differing categories of stores on Chongqing Road strongly correlate, and textile, clothing, and daily necessity stores show a high correlation with other retail categories. (4) Four main factors affect the development and spatial layout of retail in the commercial districts. First, the interaction between consumer behavior and location choice in retail stores promotes the evolution of retail formats and trends in the development of comprehensive, specialized, and hierarchical retail commercial spaces. Second, the retail format determines the spatial layouts and the historical inheritance of the format. Third, governmental planning and policies lead to the agglomeration and diffusion of commercial activities in different areas. Fourth, such spatial clustering effects are an external driving factor for integration and aggregation among retail formats.
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Hao, Feilong, Yuxin Yang, and Shijun Wang. "Patterns of Location and Other Determinants of Retail Stores in Urban Commercial Districts in Changchun, China." Complexity 2021 (January 8, 2021): 1–14. http://dx.doi.org/10.1155/2021/8873374.
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Knowledge of the patterns of location of retail stores in urban areas supports the development of effective urban planning and the reasonable allocation of commercial facilities. Using point of interest data and consumer survey data in three main commercial districts in Changchun, China, this study investigates the spatial structures of commercial districts and the patterns of distribution of retail stores to assess the determinants of the development of retail stores in commercial districts. Kernel density estimation, nearest neighbor index, and Pearson’s correlation analysis were used for this study. The following conclusions are drawn. (1) The spatial distribution of retail stores in Changchun commercial districts generates the coexistence of a concentration in the core area and diffusion in the peripheral area. The emergence of shopping malls has challenged the traditional single-center structure, resulting in the transformation of commercial districts from single-center to multicenter layouts, while also producing a hierarchical trend in development. (2) The Chongqing Road and Hongqi Street commercial districts have a relatively high spatial concentration of retail stores. Retail stores in Guilin Road exhibit distinct characteristics, namely, stores selling textiles, clothing, and daily necessities show the highest concentration, and food, beverage, and tobacco outlets as well as integrated stores show the lowest concentration. (3) The selected locations of the differing categories of stores on Chongqing Road strongly correlate, and textile, clothing, and daily necessity stores show a high correlation with other retail categories. (4) Four main factors affect the development and spatial layout of retail in the commercial districts. First, the interaction between consumer behavior and location choice in retail stores promotes the evolution of retail formats and trends in the development of comprehensive, specialized, and hierarchical retail commercial spaces. Second, the retail format determines the spatial layouts and the historical inheritance of the format. Third, governmental planning and policies lead to the agglomeration and diffusion of commercial activities in different areas. Fourth, such spatial clustering effects are an external driving factor for integration and aggregation among retail formats.
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Siddique, Omer, and Hanzla Jalil. "Exploring the Structure and Performance of Petroleum Retail Outlets in Pakistan." Pakistan Development Review 57, no. 2 (June 1, 2018): 223–47. http://dx.doi.org/10.30541/v57i2pp.223-247.
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The petroleum retail industry is one of the least researched industries in Pakistan due to, perhaps, unavailability of the relevant data. This paper aims to fill this gap. Specifically, the present paper examines the structure and performance of petrol pumps in Pakistan, using primary survey data. Analysis of the data reveals that operating a petrol pump is a profitable venture and both location and non-locational variables are important in contributing to the profitability of a petrol pump. The exploratory analysis shows that the petrol pumps in urban areas and those on highways have higher sales, indicating that the geographical location of a petrol pump is important in explaining a petrol pump’s performance. According to the regression results, as the size of a petrol pump increases, its profitability increases and there is a non-linear relation between the distance variable and profitability of a petrol pump. The non-linearity implies that there exists optimal distance between two petrol pumps that maximises profits. This optimal distance is shorter for urban and non-highway petrol pumps, compared with rural and highway petrol pumps. JEL Classification: D24, L81, R3 Keywords: Cost, Retail Business, Firm Location, Petrol Pumps
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Rizani, Ahmad. "ANALYSIS OF LEADING SECTORS POTENTIAL FOR ECONOMIC DEVELOPMENT PLANNING IN MALANG CITY." Journal of Developing Economies 5, no. 1 (June 10, 2020): 21. http://dx.doi.org/10.20473/jde.v5i1.18547.
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This study aims to identify and determine the leading sectors in Malang City to illustrate leading economic activities that can be developed to boost economic potential in Malang City. The analysis tools used include Shift-Share, Location Quotient (LQ), and Growth Ratio Model (GRM) analysis. The results show that: (1) shift-share analysis showed that the economy of Malang City during the period 2010-2016 increased by Rp. 12,926,565.5 million. The increase in economic performance in Malang City can be seen from 16 (sixteen) sectors of economic activity that are positive; (2) Location Quotient (LQ) analysis showed the leading sectors in Malang City consisting of 7 (seven) sectors, i.e. water procurement, garbage, waste and recycling management, construction, retail and wholesale trade, car and motorcycle repair, financial and insurance services, education services, health services, and social activities and other services sector; (3) Growth Ratio Model (GRM) estimation showed that the dominant sectors of growth and large contributions consist of the retail and wholesale trade car and motorcycle repair, transportation and warehousing, accommodation and food provision, information and communication, financial and insurance services, real estate, education services and health services and social activities sectors; (4) weighting results based on Shift-Share, Location Quotient (LQ) analysis, and Growth Ratio Model (GRM) showed that five sectors based on the highest potential weighting results are the health services and social activities, education services, construction, retail and wholesale trade car and motorcycle repair, and financial and insurance services sector. Keywords: Economic Potential, Shift-Share, Location Quotient (LQ), Growth Ratio Model (GRM)JEL Classification: R58;R11;O41
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Yannan, Zhao, Zhang Lu, and Zhang Xinhuan. "The spatial distribution of retail outlets in Urumqi: The application of points of interest." Open Geosciences 12, no. 1 (November 28, 2020): 1541–56. http://dx.doi.org/10.1515/geo-2020-0149.
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AbstractStudies on the distribution of retail outlets are crucial for optimizing urban resource allocation, and their rationalized layout plays an important role in developing urban economies and meeting consumer demand. However, the literature on the subject has been limited by data collection. In the era of big data, there has been an emergence of geo-referenced data that are more accurate and convenient and thus more able to be applied in the retail analysis. This study addresses this lacuna by exploring the spatial distribution of various retail outlets with the application of points of interest. Our study demonstrates that (1) the retail outlets in Urumqi are concentrated in the inner city. The inner-city area has a higher density distribution of retail outlets, and the development of the retail function is more mature. (2) Various categories of retail outlets display dissimilar agglomeration characteristics and hot spots. Specialty stores, clothing and footwear stores, convenience stores, and home-building material markets have lower average nearest-neighbor distances. (3) The retail outlets in the subject area are directionally distributed in the northwest–southeast direction, which is the result of both the topographical condition and government intervention in Urumqi. (4) Various categories of retail outlets tend to agglomerate at different scales. These results are conducive to the exploration of the location rules and layout preferences of retail locations, and they provide a reference for guiding the adjustment and optimization of retail layouts.
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Dwan, Bill. "Using GIS to Explore the Retail Structure of Market Towns in Ireland." International Journal of Applied Geospatial Research 4, no. 1 (January 2013): 17–31. http://dx.doi.org/10.4018/jagr.2013010102.
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The paper presents a Geographic Information System (GIS)-based approach to quantifying and comparing retail structures. It explores the retail landscape of the three largest market towns in County Tipperary, Republic of Ireland, namely: Clonmel, Thurles and Nenagh. The context for the study is provided through an overview of recent changes in the Irish retail sector, the dynamic of market towns and the associated challenges inherent in defining retail structure. Using demographic and retail store location data a demand threshold analysis is undertaken on custom-defined catchments for each market town (derived using a Huff Model). The paper highlights that applied GIS approaches can effectively be used to examine retail structure and to benchmark the relative under- or over-penetration of retail activity within a given set of markets. The paper also underlines the limitations inherent in such analysis and the need for high quality longitudinal data on retail demand and supply.
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Olšová, Petra, and Michaela Jánská. "Location of super and hypermarkets in the city of Ústí nad Labem." GeoScape 10, no. 1 (June 1, 2016): 16–24. http://dx.doi.org/10.1515/geosc-2016-0002.
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Abstract Retail stores are a common part of our everyday life. We focus on the site selection of supermarkets and hypermarkets in Ústí nad Labem and analyze the role of selected factors that drive the site selection of these super/hypermarkets. The role of the factors is verified by a correlation analysis. In the city of Ústí nad Labem, retail units of the supermarket or hypermarket type are unevenly distributed and are concentrated in the more central areas of the city. The location of stores has no power association with monitored factors. The result is certainly strongly influenced by the lack in availability of relevant data.
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Jannah, Azizatul, and Tri Kurniawati. "ANALISIS KAJIAN POTENSI EKONOMI WILAYAH KABUPATEN AGAM." Jurnal Ecogen 1, no. 2 (December 28, 2018): 474. http://dx.doi.org/10.24036/jmpe.v1i2.4769.
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The purpose of this research is to find out the besic sector that has fast growth in region Kabupaten Agam. This research is descriptive quantitative research with the method is location quotient analysi, shift share analysi. This research is using sekunder data from PDRB Kabupaten Agam and PDRB Sumatera Barat Province with the permanen price in year 2010 from 2012-2016. Based on the location quotient analysis. The risult showed that there were four sector basic. Sector agrikultural, forestry, fishery, industrial processing, large trade, retail, car and bike repaired, education service. Based on the Shift Share analysis, sectors that have a fast growth rate are forestry and fisheries agriculture, mining and quarrying, construction, large trade, retail, car and bike repaired, transportation and warehousing, information and communication, government administration, mandatory defense and social security , education services, health services and social activities. Keyword: Base Sector, Location Quotient (LQ) analysis, Shift Share analysis
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Iton, C. W. Ardon, and Ewan Scott. "Traditional retail outlets or supermarkets: A probit analysis of shoppers in Trinidad and Tobago." Applied Studies in Agribusiness and Commerce 10, no. 4-5 (December 31, 2016): 69–76. http://dx.doi.org/10.19041/apstract/2016/4-5/9.
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The purpose of this study is to identify consumers’ retail outlet choice for Roots and Tubers in Trinidad and Tobago between traditional and modern retail outlets, and also to find out what influences consumers’ shopping preferences for one or the other retail format. A Probit model, where both demographics and store attributes were used to predict outlet choice was the methodology utilized in the study. The results obtained suggest that the traditional outlets are the preferred place to purchase Roots and Tubers with 71% of the sample selecting these outlets. Of the fifteen independent variables analyzed in the Probit model, four demographic variables – age, employment status, ethnicity and income – and two latent factors of the store attributes labeled “value” and “location” were statistically significant. Of note, older buyers are 12% more likely to choose the traditional outlet while there is a 16% higher probability that persons in the higher income brackets will choose supermarkets as their retail outlet. These results provide an insight into the choice of outlet of shoppers and the strengths and weaknesses of the two retail formats.
JEL code: Q13, M31, C25
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Unbehaun, Florian, and Franz Fuerst. "Cap rates and risk: a spatial analysis of commercial real estate." Studies in Economics and Finance 35, no. 1 (March 5, 2018): 25–43. http://dx.doi.org/10.1108/sef-11-2016-0267.
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Purpose This study aims to assess the impact of location on capitalization rates and risk premia. Design/methodology/approach Using a transaction-based data series for the five largest office markets in Germany from 2005 to 2015, regression analysis is performed to account for a large set of asset-level drivers such as location, age and size and time-varying macro-level drivers. Findings Location is found to be a key determinant of cap rates and risk premia. CBD locations are found to attract lower cap rates and lower risk premia in three of the five largest markets in Germany. Interestingly, this effect is not found in the non-CBD locations of these markets, suggesting that the lower perceived risk associated with these large markets is restricted to a relatively small area within these markets that are reputed to be safe investments. Research limitations/implications The findings imply that investors view properties in peripheral urban locations as imperfect substitutes for CBD properties. Further analysis also shows that these risk premia are not uniformly applied across real estate asset types. The CBD risk effect is particularly pronounced for office and retail assets, apparently considered “prime” investments within the central locations. Originality/value This is one of the first empirical studies of the risk implications of peripheral commercial real estate locations. It is also one of the first large-scale cap rate analyses of the German commercial real estate market. The results demonstrate that risk perceptions of investors have a distinct spatial dimension.
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Septiana, Alvin Cahya, and Ardianus Laurens Paulus. "RITEL MIX DAN KEPUTUSAN PEMBELIAN KONSUMEN : STUDI PADA KONSUMEN TOKO RITEL DI KOTA MADIUN." Cakrawala Management Business Journal 1, no. 1 (July 4, 2019): 35. http://dx.doi.org/10.30862/cm-bj.v1i1.3.
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Retail mix is a tool used to implement and handle the development of retail strategies to satisfy the needs of more target markets than competitors. This research was conducted to determine which factors predominantly influence purchasing decisions in retail companies. In addition, this study aims to analyze the influence of retail mix consisting of customer service, store design & display, communication mix, location, merchandise assortment, and pricing of consumer purchasing decisions in retail stores in the city of Madiun.
A sample of 100 people with purposive sampling and snowball sampling techniques. Respondents are consumers in retail stores in Madiun City which consist of 3 Sub-Districts namely Taman Subdistrict, Kartoharjo District and Manguharjo District. Multiple linear regression analysis techniques.
The results of the simultaneous retail mix research have a significant effect on consumer purchasing decisions. Partially variable store design & display, merchandise assortment, and pricing have a significant positive effect on consumer purchasing decisions. Customer service variables have a significant negative effect on consumer purchasing decisions. Communication mix and location variables have no significant effect on consumer purchasing decisions. Subsequent research needs to include a variable post-purchase behavior because the customer will evaluate the experience after making a purchasing decision.
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TSOUTSOS, Michail-Christos, and Yorgos Photis. "Spatial point pattern analysis of urban retail stores: the case of twelve large- and medium-sized Greek cities." European Journal of Geography 11, no. 4 (December 16, 2020): 36–63. http://dx.doi.org/10.48088/ejg.m.mar.11.4.36.63.
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The retailers’ profitability and the consumers’ satisfaction depend on finding the optimal location for a retail store. When considering the stores’ spatial distribution, business potential can be understood and a squandering planning of resources can be avoided. In this paper we identify the spatial patterns of retail stores located in the traditional commercial centers of twelve large -and medium-sized Greek cities, aiming to explain why such patterns exist. The type of retail activities was determined using the image of the ground-floor stores provided by the Google Street View (GSV) service and thus 7322 stores were recorded in a geodatabase as point features. The results reveal that the retail stores’ distribution has a clustered and random spatial pattern at least in one city, where the high population density and the increase in rental prices of premises for professional activities constitute the factors that form these spatial patterns respectively.
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Xu, Xiangbin, and Chenhao Ren. "Research on Dynamic Storage Location Assignment of Picker-to-Parts Picking Systems under Traversing Routing Method." Complexity 2020 (November 28, 2020): 1–12. http://dx.doi.org/10.1155/2020/1621828.
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Considering time-varying demand of online retail industry, the traditional static storage location assignment is converted into a multistage storage location assignment process based on the idea of gradual and small-step-forward optimization, which can respond to rapid changes in demand by adjusting the storage location of SKUs in the warehouse in real time and dynamically. First, the study formulates the framework dynamic storage location assignment. Then, the adjustment gain model of dynamic storage location assignment is built, and a genetic algorithm is designed to find the final adjustment solution. Finally, the computer program is developed to simulate the whole process. Simulation and data analysis results show that dynamic storage location assignment can effectively improve picking efficiency when the average order size is small and large demand correlation strength. Dynamic storage location assignment simplifies the warehouse operation process by combining the picking operation and storage location assignment into one without changing the picker’s current walking route, which can offer some theoretical guidance for online retail enterprises implementing dynamic storage location assignment.
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Effendi, Irpan, Mukhamad Najib, and Kir Brandoko. "PREFERENCE ANALYSIS AND PURCHASING DECISION OF FRUIT CONSUMERS IN GENERATION Y (Case of Modern and Traditional Retail in Bogor)." Journal of Consumer Sciences 4, no. 2 (August 31, 2019): 61–75. http://dx.doi.org/10.29244/jcs.4.2.61-75.
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Fruit is categorized as perishable product. Fruit trading still coordinated by direct sales, which consumers come over to the location then choose their own preference. Majority consumers prefer to go to the two shopping places for buying fruit products which is major in Indonesia or Bogor, for instance in modern retail or traditional retail. The issue in consumption character shifts caused by the generation alteration in which can influence business activities in the retail industry. At present, the traditional good retailers of modern generation Y is faced with different characteristics from the previous generation. Data was collected using questionnaires given to 150 respondents from the modern retail and 150 respondents traditional retail. The total questionnaires are 300 Generation Y respondents. The data was analyzed by descriptive analysis and Partial Least Square (PLS). The results indicated that the category in the modern retail the influence of the reference group and ethnocentrism had a positive effect and had the greatest influence on Y generation preferences as well as the categories in traditional retail reference groups and ethnocentrism had a positive and significant effect and product quality and prices have a negative effect on Y generation's preference for fruit shopping in modern retail. Meanwhile personal factors and places have a negative effect on Y generation's preference for fruit shopping in traditional retail. From modern and traditional fruit retailing consumer preferences have a positive and very significant effect on fruit purchasing decisions.
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Kryveshko, O. V., and G. S. Kunditskaja. "Problems of Competitiveness of Small Forms of Food Retail in Lviv." Business Inform 2, no. 517 (2021): 315–22. http://dx.doi.org/10.32983/2222-4459-2021-2-315-322.
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The article discusses the defining competitive advantages of food retail stores. It is defined that the competitive advantages that determine the level of competitiveness of production and trade enterprises do differ. The main competitive advantages of trading enterprises are their location, product range, pricing policy and quality of service. As a result of the analysis of the trade infrastructure of the city of Lviv, it was concluded that there were problems in shaping the competitiveness of small forms of retail trade in food products, which are associated with the active development of national retail chains and the emergence of international trade operators in the market. The classification of stores by the signs of the size and territory of the girth was carried out. The peculiarities of their competitive advantages are determined. It is identified that the emergence of networks of the latest large formats of stores with the possibility of purchasing goods at lower prices was a threat to the functioning of traditional stores «close to home» and the reason for the decrease in their number. A comparative analysis of advantages and disadvantages of small forms of retail and large retail is carried out. The main competitive advantages of small retail stores are the proximity of the location to the buyer and trusting relationships with regular customers. The price, product range and possibilities of implementing loyalty programs are identified as the main strategic competitive advantages of large store formats. The emphasis on these advantages makes it possible to effectively manage the competitiveness of retail.
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Maryama, Siti, and Yayat Sujatna. "Retail Mix Dan Kepuasan Konsumen Minimarket." Liquidity 7, no. 1 (July 13, 2018): 53–62. http://dx.doi.org/10.32546/lq.v7i1.178.
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The purpose of this study is to (1) analyzing the level of retail mix consumer satisfaction; (2) analyze the dominant variable in retail mix consumer satisfaction; (3) analyze the difference of retail mix consumer satisfaction performed. The observed of the retail industry is Alfamidi and Indomaret. The study was designed into a descriptive-quantitative method. The source of primary data obtained from the questionnaire of 100 respondents. The formulating variable of retail mix includes: merchandise assortments, pricing, customer services Store design and display, communication mix, and location. Data analyze by using descriptive, analysis of factors, and t-test. The result confirmed that the level of retail mix consumer satisfaction in both industry is relatively similar. However, it can be stated that the respondents were more satisfied to Indomaret compared with Alfamart.
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ENDRIKAT, SARAH, DANIEL GALLAGHER, RÉGIS POUILLOT, HEATHER HICKS QUESENBERRY, DAVID LaBARRE, CARL M. SCHROEDER, and JANELL KAUSE. "A Comparative Risk Assessment for Listeria monocytogenes in Prepackaged versus Retail-Sliced Deli Meat." Journal of Food Protection 73, no. 4 (April 1, 2010): 612–19. http://dx.doi.org/10.4315/0362-028x-73.4.612.
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Deli meat was ranked as the highest-risk ready-to-eat food vehicle of Listeria monocytogenes within the 2003 U.S. Food and Drug Administration and U.S. Department of Agriculture, Food Safety and Inspection Service risk assessment. The comparative risk of L. monocytogenes in retail-sliced versus prepackaged deli meats was evaluated with a modified version of this model. Other research has found that retail-sliced deli meats have both higher prevalence and levels of L. monocytogenes than have product sliced and packaged at the manufacturer level. The updated risk assessment model considered slicing location as well as the use of growth inhibitors. The per annum comparative risk ratio for the number of deaths from retail-sliced versus prepackaged deli meats was found to be 4.89, and the per-serving comparative risk ratio was 4.27. There was a significant interaction between the use of growth inhibitors and slicing location. Almost 70% of the estimated deaths occurred from retail-sliced product that did not possess a growth inhibitor. A sensitivity analysis, assessing the effect of the model's consumer storage time and shelf life assumptions, found that even if retail-sliced deli meats were stored for a quarter of the time prepackaged deli meats were stored, retail-sliced product is 1.7 times more likely to result in death from listeriosis. Sensitivity analysis also showed that the shelf life assumption had little effect on the comparative risk ratio.
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LESGER, CLÉ. "Patterns of retail location and urban form in Amsterdam in the mid-eighteenth century." Urban History 38, no. 1 (April 5, 2011): 24–47. http://dx.doi.org/10.1017/s0963926811000022.
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ABSTRACT:In this article location theory is used to map and analyse the patterns of retail location in Amsterdam in the eighteenth century. In the city centre as well as along the main axes to markets and the city gates the retailing of shopping goods (textiles, consumer durables) was much more prominent than elsewhere in the city. In contrast, shops selling convenience goods (foodstuffs etc.) were scattered all over the city. The correspondence of empirical data and location theory suggests that the urban government and institutions did not interfere with the location preferences of shopkeepers. An analysis of local acts and guild regulations corroborated this assumption. What did affect the location patterns of shops was history. The morphological and socio-economic legacy of the past acted as an intermediary between general location principles and the implantation of shops in the urban landscape.
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Wang, Jenhung, Ching-Hui Tsai, and Pei-Chun Lin. "Applying spatial-temporal analysis and retail location theory to public bikes site selection in Taipei." Transportation Research Part A: Policy and Practice 94 (December 2016): 45–61. http://dx.doi.org/10.1016/j.tra.2016.08.025.
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Arafah, Willy, and Ryan Corinus Dato Matheos. "Determining Factors of Potential Economy Sectors of Bantaeng Regency in South Sulawesi Province of Indonesia: An Analysis Using the Location Quotient Approach." International Journal of Business and Management 12, no. 7 (June 6, 2017): 183. http://dx.doi.org/10.5539/ijbm.v12n7p183.
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Bantaeng Regency, one of the regencys in South Sulawesi Province, has some potential economy sectors to be developed. In order to know those potential economy sectors, one of the economy analysis which can be used is the Location Quotient analysis. In this research, the analysis will use Static Location Quotient (SLQ) and Dynamic Location Quotient (DLQ). The SLQ method is used to determine the base sectors (leading sectors) in Bantaeng Regency at one period of time. While DLQ method is used to determine whether a sector that is superior over a period of time are leading sectors for the period of time that will come. The analysis showed that in the year 2013-2014 the Trade and Retail sector; Car and Motorcycles Repair sector; Real Estate sector; Government Administration sector; Defence and Compulsory Social Security; and Other Services Sector is the leading economy sector in Bantaeng Regency. And in the year 2014-2015, the Trade and Retail sector; Cars and Motorcycles Repair sector; Real Estate sector; Service Sector Health and Social Work; and Other Services Sector is the leading economy sector in Bantaeng Regency.
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Wieland, Thomas. "Spatial Shopping Behavior in a Multi-Channel Environment: A Discrete Choice Model Approach." REGION 8, no. 2 (August 4, 2021): 1–27. http://dx.doi.org/10.18335/region.v8i2.361.
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Spatial impacts of online shopping are discussed frequently in retail geography. Here, online shopping is mostly regarded as a central driver of competition for physical retailing and its locations, such as town centers or malls. Due to its high popularity, cross-channel shopping is sometimes considered to be a support for physical retailing. However, traditional retail location theory does not consider shopping channels other than in-store shopping. Furthermore, although online shopping is far too important to be neglected in examining consumer spatial shopping behavior, there is an obvious lack in the previous literature towards incorporating multi- and cross-channel shopping into store choice models. The present study aims to identify the main drivers of store choice on the basis that both in-store and online shopping alternatives are available, as well as the opportunity for cross-channel shopping. Taking into account previous literature on both physical store choice and multi-channel shopping, hypotheses on the impact of different shopping transaction costs (such as travel time, delivery charges, or uncertainty with respect to the stores' assortment) were derived. Based on a representative consumer survey, real past shopping decisions in three retail sectors (groceries, consumer electronics [CE], and furniture) were collected. The econometric analysis of empirical store choices was performed using a nested logit model which includes both physical and online stores. The results confirm several assumptions of classical retail location theory as well as previous findings from single-firm studies and stated choice experiments on multi-channel shopping behavior. Travel time to physical stores reduces consumer utility and store choice probability, respectively. Consumer sensitivity towards travel time decreases with decreasing purchase frequency of the desired goods. Delivery charges also decrease the likelihood of choosing a store. The impact of cross-channel integration on store choice (assuming the reduction of consumer transaction costs) is considerably lower than expected and differs between retail sectors. While furniture retailers profit from enabling cross-channel shopping, there is no such competitive advantage found for grocery and CE retailers. The positive effect of assortment on condition of diminishing marginal utility is confirmed for grocery stores and CE stores, but not for furniture stores. From a theoretical perspective, this study shows that multi- and cross-channel shopping behavior does not contradict the main thoughts of classical retail location theory. From a practical perspective, the study is a contribution as store choice models play a significant role in both business location planning and governmental land use planning.
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Sreekumar, Rema Gopalan, and Biswajit Satpathy. "An Integrated Approach Using Interpretive Structural Modeling and Quality Function Deployment for Improving Indian Retail Service Quality." International Journal of Business Analytics 6, no. 2 (April 2019): 1–22. http://dx.doi.org/10.4018/ijban.2019040101.
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This article attempts to develop a model by integrating interpretive structural modeling (ISM) and quality function deployment (QFD) methodology by establishing the relationship between the Indian retail service quality dimensions and service quality enablers. The integrated approach is employed to translate customers' requirements/needs into specific service design factors/requirements in the Indian retail context. The retail service quality dimensions are identified using factor analysis and are considered as the customer demands in QFD process. Thirteen retail enablers were identified through an extensive literature survey and expert opinions. The enablers identified for the study were treated as design requirement for employing quality function deployment (QFD) in order to prioritize the design requirements. The results found showed that retail enablers ‘Image of the Store' and ‘Value Conscious Consumers' can be emphasized more in a priority basis by the Indian retailers followed by retail enablers ‘Location of store' and ‘Globalization/Competition'.
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Colaço, Rui, and João de Abreu e Silva. "Commercial Classification and Location Modelling: Integrating Different Perspectives on Commercial Location and Structure." Land 10, no. 6 (May 28, 2021): 567. http://dx.doi.org/10.3390/land10060567.
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Commercial classification is essential to describe and compare the spatial patterns of commercial activity. Most classification systems consider a large set of dimensions that include detailed features such as store ownership or development type. Since new business models are continually being developed, the need to revise classification systems is constant. This makes generalisation hard, thus hindering the comparison of commercial structures in different places and periods. Recent studies have focused on cluster analysis and a smaller number of variables to gain insights into commercial structures, directly addressing this issue. Systematic bottom-up classification generates comparable structures, which is essential to contrast policy results in different situations. Furthermore, since form or accessibility are usually considered in classifications, cluster membership is precluded from most retail location models, often relying on the latter as an explanatory variable. Hence, a new classification system is proposed, based on cluster analysis (k-means) and a minimal set of variables: density, diversity, and clustering. This classification was implemented in 1995, 2002, and 2010 in Lisbon. Cross-sectional analysis of the commercial structures shows the system accurately describes commercial location and change, suggesting it can be generalised as a classification system. Since the minimal dataset also allows for cluster membership to be used on location models, the relationship between commercial classification and location modelling could be strengthened, reinforcing the role of commercial studies in urban planning and policymaking.
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Lusk, Jayson L., and Edgar Cevallos. "Factors Influencing Demand for a Producer-Owned Beef Retail Outlet." Journal of Agricultural and Applied Economics 36, no. 1 (April 2004): 97–111. http://dx.doi.org/10.1017/s107407080002188x.
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As the farm-to-retail price spread continues to grow, some cattle producers are beginning to consider integrating into the retail sector. Such a venture would require large investments in capital with uncertain return. This study seeks to determine the potential success of a stand-alone retail outlet selling “all natural” beef in an affluent area of Jackson, MS. Using choice-based conjoint analysis, demand for the new retail outlet is modeled as a function of the beef price at the store, distance of the store from consumers' homes, distance of the store from consumers' typical grocery store, and price of beef at substitute grocery stores. Simulation results suggest the proposed outlet could be a profitable venture, depending upon location and beef price.
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Sick Nielsen, Thomas A. "The Role of Subcentres for Commuting and Non-Work Travel Distances and Modes in the Copenhagen Metropolitan Region." Built Environment 45, no. 4 (December 1, 2019): 462–75. http://dx.doi.org/10.2148/benv.45.4.462.
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Understanding the functional geography of the metropolitan region, and developing location criteria for smart growth, requires analysis of subcentres and their effects. Subcentres were identified in the Copenhagen area based on spatial analysis of micro-level employment and retail data. Subcentres' effects on transport in addition to regional centrality were studied with regression analysis of work and nonwork travel behaviour data. Distance to employment subcentres with a minimum of 10,000 jobs and distance to subcentres identi fied from retail data and having a minimum of 400 retail jobs affects residents' daily travel distance and/or transport modes. A short distance to a subcentre allows for shorter daily travel distances and, in the case of retail subcentres, for a higher probability of using public transport or walking/cycling. However, the effects of subcentres are well below the still strong and significant effect of regional centrality upon travel distances as well as mode choice.
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Ahmad Rizani. "ANALYSIS OF ECONOMIC PERFORMANCE AND ECONOMIC POTENTIAL OF EAST JAVA PROVINCE." East Java Economic Journal 1, no. 1 (September 30, 2017): 76–95. http://dx.doi.org/10.53572/ejavec.v1i1.3.
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This study aimed to investigate economic growth, regional economic pattern and structure of East Java Province. Other than that, this study also identified anddetermined superior sectors in East Java Province to give an illustration on which superior economic activities to be developed to improve the economic potential in East Java Province. Data employed in this study was secondary data in six years’ time series form 2010 until 2015 about GDP (Gross Domestic Product) for Indonesia, RGDP (Regional Gross Domestic Product) for East Java Province, total population in Indonesia, total population in East Java Province, the number of people living in poverty in Indonesia, and the number of people living in poverty in East Java Province. Data was obtained from Central Statistics Institution Indonesia, National Planning and Development Institution, Central Statistics Institution of East Java Province, and Regional Planning and Development Institution of East Java Province. Analysis tools used in this study included economic performance analysis, ShiftShare, Location Quotient (LQ), Growth Ratio Model (MRP) and Overlay analysis. The results of the study showed that: (1) economic performance index of East Java Province was quite good because during 2011-2015 the province got average economic performance index 0.847; (2) shift-share analysis showed that East Java Province economic showed an improvement during 2010-2015 by 340.769,50 billion rupiahs. Those economic performance improvements in East Java Province could be seen from the positive value of 16 (sixteen) economic activity sectors; (3) according to Location Quotient (LQ) analysis, there were five superior sectors in East Java Province, they were processing industry sector, water procurement sector, waste and recycle management sector, wholesale and retail, auto car and motorcycle reparation sector, accommodation and foods providing sector, and information and communication sector; (4) Growth Ratio Model analysis showed that sectors which had dominants growth and big contribution were construction sector, wholesale and retail, auto car and motorcycle reparation sector, transportation and warehousing sector, accommodation and foods providing sector, information and communication sector financial and insurance service sector, real estate sector, education service sector, health service and social activity sector; (5) Overlay analysis showed that potential economic sector in East Java Province included wholesale and retail, auto car andmotorcycle reparation sector, accommodation and foods providing sector, and information and communication sector; (6) weighing result according to Shift-Share Location Quotient (LQ), and Growth Ratio Model analysis were five sectors based on the highest rank of the most potential weighing result, they were accommodation and foods providing sector, processing industry sector, wholesale and retail, auto car and motorcycle reparation sector, information and communication sector, and construction sector.
JEL Classification : P47, O47, C02, C02, C02, C02
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Ayuningtias, Kartika Sekar, and Trisha Gilang Saraswati. "Retail Service Quality and Customer Loyalty." Journal of Secretary and Business Administration 3, no. 1 (February 12, 2019): 58. http://dx.doi.org/10.31104/jsab.v3i1.84.
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IKEA Alam Sutera is a conventional furniture company with the theme of self-service shopping that is still new to the people of Indonesia. There is a retail service quality that is a variable on the experience of consumers in receiving IKEA services that have problems in them and cause dissatisfaction from customers, therefore the customer satisfaction variable is used in this study. It also has the aim to know whether customers can still be loyal to IKEA with the customer loyatly variable. The sample of this research was 100 respondents who were IKEA consumers who had made purchases at least 2 times. Location of this research at IKEA Alam Sutera offline store at Tanggerang Indonesia and the respondents answer the question by google form. The data analysis technique used is descriptive analysis and path analysis with the help of SPSS version 23 software. The results of this research were first there is a direct influence of retail service quality on customer satisfaction of 21.5%. Second, there is a direct influence of retail service quality on customer loyalty of 21%. Third, there is a direct effect of customer satisfaction on customer loyalty of 18.7%. Finally, there is non-direct influence of retail service quality on customer loyalty through customer satisfaction of 41% at IKEA Alam Sutera.
Keywords: customer loyalty, customer satisfaction, retail service quality
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J, Jimisiah, Nur Tasnim KZ, Khairul Firdaus A, and Sallaudin SH. "Study On Factors That Impede The Success Of Retail And Wholesale Industry: A Case Study On Consumer Selection Decision Towards Retail Business At Alor Setar, Kedah." International Journal Of Innovation And Economic Development 1, no. 5 (2015): 44–52. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.15.2004.
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The rapid grown of urban development in Malaysia has increased the number of grocery retail outlets that provides a variety of products. Due to this situation customers have become accustomed to visits multiple outlets. Retailers have recognized this trend and noticed that customer satisfaction plays a role in their business success. Therefore, it has become important for grocery retail store to identify the factor of customer selection decision. This study was conducted at three selected store, namely Mydin, Giant and Tesco in AlorSetar, Kedah. A sample from 190 respondents was collected using a set of questionnaires. Data was analyzed using summative score analysis, comparative analysis and chi-square independence test. Factors that are found significant are location, facility, process, product quality and value for money. Chi-square is used in measuring the relationship among the supporting factors, age, frequency, and gender and store choice. Thus, several recommendations are presented to improve customer satisfaction and loyalty of their customers