An Efficient Premiumness and Utility-Based Itemset Placement Scheme for Retail Stores

2019 ◽  
pp. 287-303 ◽  
Author(s):  
Parul Chaudhary ◽  
Anirban Mondal ◽  
Polepalli Krishna Reddy
Keyword(s):  
Retail Stores

Review of Job analysis for retail stores.

1948 ◽  
Vol 32 (6) ◽  
pp. 679-679
Author(s):  
William A. McClelland
Keyword(s):  
Job Analysis ◽  
Retail Stores

CONSUMER ACCEPTANCE OF SELF-SERVICE TECHNOLOGY IN FASHION RETAIL STORES

2019 ◽  
Vol 2019 ◽  
pp. 440-440
Author(s):  
Jee-Sun Park ◽  
◽  
Sejin Ha ◽  
So Won Jeong
Keyword(s):  
Consumer Acceptance ◽  
Retail Stores ◽  
Fashion Retail ◽  
Self Service ◽  
Self Service Technology

A STUDY ON LOCATION OF LARGE-SIZED RETAIL STORES AND COMBINATION OF TENANTS IN KITAKYUSHU CITY

2002 ◽  
Vol 8 (15) ◽  
pp. 295-300
Author(s):  
Hiroyuki KATAOKA ◽  
Tokiko ITO ◽  
Akira UCHIDA ◽  
Satoshi HAGISHIMA
Keyword(s):  
Retail Stores

STORE ATMOSPHERIC FACTORS AT SELECT LARGE FORMAT RETAIL STORES IN HYDERABAD

2020 ◽  
pp. 1-4
Author(s):  
M Himabindu
Keyword(s):  
Sampling Technique ◽  
Retail Stores ◽  
Retail Sector ◽  
Large Format ◽  
Shopping Experience ◽  
Innovative Tool ◽  
Convenience Sampling ◽  
Atmospheric Factors ◽  
Number Of Customers ◽  
Structured Questionnaire

Store Atmospherics is an innovative tool that retailers use to attract a number of customers into the store and retain them for longer time in the store. The share of large format retail stores in organized retail sector is increasing significantly. This paper is an empirical study of factors of Store Atmospherics from customers’ viewpoint. Data was collected through structured questionnaire from 75 respondents following convenience sampling technique. Reliability test and factor analysis were done using SPSS. Results show that Store Music, Store Decorations, Store Fragrance, Store Brightness, In-store Promotions and Ambience are the important Store Atmospheric factors. Large format retailers should focus more on these so as to increase their appeal to the customers and give them a good shopping experience so that favourable shopping outcomes follow.

scholarly journals Sensing Framework for the Internet of Actors in the Value Co-Creation Process with a Beacon-Attachable Indoor Positioning System

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 83
Author(s):  
Keiichi Zempo ◽  
Taiga Arai ◽  
Takuya Aoki ◽  
Yukihiko Okada
Keyword(s):  
Radio Wave ◽  
Indoor Positioning ◽  
Measurement Range ◽  
Pulse Interval ◽  
Retail Stores ◽  
Positioning System ◽  
Radio Waves ◽  
Positioning Systems ◽  
Environment Recognition ◽  
Indoor Positioning System

To evaluate and improve the value of a service, it is important to measure not only the outcomes, but also the process of the service. Value co-creation (VCC) is not limited to outcomes, especially in interpersonal services based on interactions between actors. In this paper, a sensing framework for a VCC process in retail stores is proposed by improving an environment recognition based indoor positioning system with high positioning performance in a metal shelf environment. The conventional indoor positioning systems use radio waves; therefore, errors are caused by reflection, absorption, and interference from metal shelves. An improvement in positioning performance was achieved in the proposed method by using an IR (infrared) slit and IR light, which avoids such errors. The system was designed to recognize many and unspecified people based on the environment recognition method that the receivers had installed, in the service environment. In addition, sensor networking was also conducted by adding a function to transmit payload and identification simultaneously to the beacons that were attached to positioning objects. The effectiveness of the proposed method was verified by installing it not only in an experimental environment with ideal conditions, but posteriorly, the system was tested in real conditions, in a retail store. In our experimental setup, in a comparison with equal element numbers, positioning identification was possible within an error of 96.2 mm in a static environment in contrast to the radio wave based method where an average positioning error of approximately 648 mm was measured using the radio wave based method (Bluetooth low-energy fingerprinting technique). Moreover, when multiple beacons were used simultaneously in our system within the measurement range of one receiver, the appropriate setting of the pulse interval and jitter rate was implemented by simulation. Additionally, it was confirmed that, in a real scenario, it is possible to measure the changes in movement and positional relationships between people. This result shows the feasibility of measuring and evaluating the VCC process in retail stores, although it was difficult to measure the interaction between actors.

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