2D-3D MultiAgent GeoSimulation with Knowledge-Based Agents of Customers’ Shopping Behavior in a Shopping Mall

2005 ◽  
pp. 445-458 ◽  
Author(s):  
Walid Ali ◽  
Bernard Moulin
Keyword(s):  
Shopping Behavior ◽  
Shopping Mall ◽  
Knowledge Based

scholarly journals Consumer Buying Behavior at Shopping Malls: Does Gender Matter?

2018 ◽  
Vol 10 (1) ◽  
pp. 125 ◽  
Author(s):  
Ankit Katrodia ◽  
M. J. Naude ◽  
S. Soni
Keyword(s):  
South Africa ◽  
Gender Differences ◽  
Cross Sectional Study ◽  
Shopping Behavior ◽  
Shopping Mall ◽  
Shopping Malls ◽  
Buying Behavior ◽  
Cross Sectional ◽  
Social And Cultural Factors ◽  
Consumer Buying Behavior

 The development of shopping malls is a major social and global phenomenon that has unearthed a novel facet for customer satisfaction and their consequent or relative buying behavior. The aim of his paper was to explore the gender differences in consumer buying behavior at selected Durban shopping malls. It is an observational cross-sectional study carried out on 700 randomly selected respondents to study buying capacity, buying behavior and shopping experience of male and female consumers at shopping malls in the city of Durban, South Africa. Data was collected through pre-tested semi-structured questionnaire with closed ended questions. The study revealed that there are notable gender differences, which shape shopping behavior among men and women. Time and money spent at the mall was significantly high among female as compared to male consumers. Consequently, the results attributed that personal attributes and shopping mall attractiveness factors played a crucial role in influencing customer shopping behavior amongst the mall shoppers. The study concludes that gender differences are prevalent in the buying behavior of customers at the select shopping malls in Durban, South Africa. Average time spent by female is high as compared to male which also affect their average money spent at shopping mall. Psychological, Social and Cultural factors are highly influencing customers’ buying behavior at shopping malls. 

scholarly journals Clustering Indoor Positioning Data Using E-DBSCAN

2021 ◽  
Vol 10 (10) ◽  
pp. 669
Author(s):  
Dayu Cheng ◽  
Guo Yue ◽  
Tao Pei ◽  
Mingbo Wu
Keyword(s):  
Semantic Information ◽  
Indoor Positioning ◽  
Base Station ◽  
Behavioral Pattern ◽  
Shopping Behavior ◽  
Shopping Mall ◽  
Indoor Environments ◽  
Clustering Methods ◽  
Trajectory Data ◽  
Indoor Location

Indoor positioning data reflects human mobility in indoor spaces. Revealing patterns of indoor trajectories may help us understand human indoor mobility. Clustering methods, which are based on the measurement of similarity between trajectories, are important tools for identifying those patterns. However, due to the specific characteristics of indoor trajectory data, it is difficult for clustering methods to measure the similarity between trajectories. These characteristics are manifested in two aspects. The first is that the nodes of trajectories may have clear semantic attributes; for example, in a shopping mall, the node of a trajectory may contain information such as the store type and visit duration time, which may imply a customer’s interest in certain brands. The semantic information can only be obtained when the position precision is sufficiently high so that the relationship between the customer and the store can be determined, which is difficult to realize for outdoor positioning, either using GPS or mobile base station, due to the relatively large positioning error. If the tendencies of customers are to be considered, the similarity of geometrical morphology does not reflect the real similarity between trajectories. The second characteristic is the complex spatial shapes of indoor trajectory caused by indoor environments, which include elements such as closed spaces, multiple obstacles and longitudinal extensions. To deal with these challenges caused by indoor trajectories, in this article we proposed a new method called E-DBSCAN, which extended DBSCAN to trajectory clustering of indoor positioning data. First, the indoor location data were transformed into a sequence of residence points with rich semantic information, such as the type of store customer visited, stay time and spatial location of store. Second, a Weighted Edit Distance algorithm was proposed to measure the similarity of the trajectories. Then, an experiment was conducted to verify the correctness of E-DBSCAN using five days of positioning data in a shopping mall, and five shopping behavior patterns were identified and potential explanations were proposed. In addition, a comparison was conducted among E-DBSCAN, the k-means and DBSCAN algorithms. The experimental results showed that the proposed method can discover customers’ behavioral pattern in indoor environments effectively.

scholarly journals Influence of Children on Parental Purchase During Shopping in Supermarket

2020 ◽  
Vol 9 (1) ◽  
pp. 71-83
Author(s):  
Ganga Prasad Sapkota ◽  
Sarad Chandra Kafle
Keyword(s):  
Research Design ◽  
Shopping Behavior ◽  
Shopping Mall ◽  
Purchasing Behavior ◽  
Chi Square ◽  
Exact Test ◽  
Descriptive Research ◽  
Chi Square Test ◽  
Changing Patterns ◽  
Structured Questionnaire

   Due to changing patterns of Nepalese life style and urbanization, parents are providing more value to their children and they are investing for children‘s tour, entertainment and for shopping that's why number of parental visit is found in park, shopping mall, zoo etc. Supermarket shopping has no longer history in Chitwan. Bhatbhateni supermarket is one of the famous and popular supermarket in this locality. This is famous among the purchaser because of facilities it has and varieties of goods available in the mall. Lift facility and ice-cream outside the mall attracting children towards this shopping mall. This study is focused on the purchasing behavior parents due to children’s demand who are visiting in Bhatbhateni supermarket(BBSM). Objectives of this study was to determine whether there is any influence of children on shopping behavior of their parents or not, if has influence what was the proportion of such parents, what are the major demands of children at BBSM. To fulfil the objectives of this study using purposive sampling of 60 customers attending in Bhatbhateni supermarket, Bharatpur is selected, the study is done on the basis of their response. Using structured questionnaire. The research design used is descriptive research design. Using SPSS data was compiled and analyzed. Simple frequency and percentage analysis has been carried to explain outputs, also chi-square test and Fisher's exact test has been carried to find out the association between variables under study. Outcomes of this study shows that children’s influence is their in parental purchase during shopping at BBSM. Parents, businessman and investors of BBSM are considering major beneficiaries of this study.

scholarly journals A Study on Customer’s opinion with regard to Online Shopping

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Pavan. K. A ◽  
Dr. N. Nirmaladevi
Keyword(s):  
Young People ◽  
Online Shopping ◽  
Ease Of Use ◽  
Shopping Behavior ◽  
Shopping Mall ◽  
Delivery Services ◽  
Online Shopping Behavior ◽  
And Behavior ◽  
On Time Delivery ◽  
Day By Day

<div><p><em>After the shopping mall revolution the next big wave is online shopping and it has been started in a big way.  One of the world’s largest online shopping companies has entered and giving a tough competition for home grown players. Educated young people welcomed the online shopping format with two hands. The objective of the study is to understand the purchasing pattern, opinion regarding the service quality, ease of use, security and payment process etc., Online customers are booming day by day and creating rush in online sites. Supply chain and delivery services became more vibrant to establish on time delivery. These changes initiate changes in the customer choices and behavior and that of their purchasing pattern. This paper highlights the customer choices and opinion with regard to online shopping. The results of the study may seed to a deep study about online shopping behavior of the customers.</em></p></div>

Introduction of a new method for retailing and marketing research: the case of shopping malls

2020 ◽  
Vol 38 (3) ◽  
pp. 365-381
Author(s):  
Cenk Sozen ◽  
Tülay Korkmaz Devrani
Keyword(s):  
Marketing Research ◽  
Shopping Behavior ◽  
Shopping Mall ◽  
Shopping Malls ◽  
Content Type ◽  
Network Analyses ◽  
Critical Knowledge ◽  
Competitive Relations ◽  
Shopping Location ◽  
Tenant Mix

PurposeThe purpose of this study is to suggest an unusual method that may help researchers to examine from the real-time movements of consumers among stores located on any kind of shopping location. We assumed shopping behavior of individuals as a complicated network representing their interactions with multiple types of stores – brands. Shopping malls were chosen to test this alternative method. Closely located stores in these organizations give researchers a chance to investigate patterns of interactions of customers in relation to brands. Therefore, we decided to develop an unusual method to examine customers' behavior in these organizations.Design/methodology/approachThis study suggests that circulation patterns of customers in a shopping location may provide valuable information to decision makers. The applicability of this technique was tested on 700 consumers visiting stores of a supper-regional shopping mall, located in Ankara, Turkey. Paths of the customers in a specific type of mall were determined, and their interactions with the stores were analyzed by using social network analysis techniques. The brands having key positions in the network were compared with the brand configuration of high- and low-performer malls serving to similar markets.FindingsThe results of the network analyses were used to understand whether this method could be beneficial for the ideal tenant mix problem of shopping malls. Findings suggest that the performance of malls depends on fitness to customer paths, and the malls, which didn't have the key brands at the initial stage, could not adapt themselves later. Findings of the case study verified that this technique might offer a solution to this well-known dilemma of the retailing sector and may have several implications.Originality/valueThese types of data are very valuable, especially for retailing research and the industry, because very critical knowledge such as traffic among retail stores, key central brands, ideal location of stores, consumption tendencies of different customer groups and symbiotic or competitive relations among retailers can be obtained. This method may also have broad implications in other fields of research such as location analysis, decision support systems and property management as well as marketing and retailing.

scholarly journals Consumer Buying Behavior at Shopping Malls: Does Gender Matter?

2018 ◽  
Vol 10 (1(J)) ◽  
pp. 125-134
Author(s):  
Ankit Katrodia ◽  
M. J. Naude ◽  
S. Soni
Keyword(s):  
South Africa ◽  
Gender Differences ◽  
Cross Sectional Study ◽  
Shopping Behavior ◽  
Shopping Mall ◽  
Shopping Malls ◽  
Buying Behavior ◽  
Cross Sectional ◽  
Social And Cultural Factors ◽  
Consumer Buying Behavior

 The development of shopping malls is a major social and global phenomenon that has unearthed a novel facet for customer satisfaction and their consequent or relative buying behavior. The aim of his paper was to explore the gender differences in consumer buying behavior at selected Durban shopping malls. It is an observational cross-sectional study carried out on 700 randomly selected respondents to study buying capacity, buying behavior and shopping experience of male and female consumers at shopping malls in the city of Durban, South Africa. Data was collected through pre-tested semi-structured questionnaire with closed ended questions. The study revealed that there are notable gender differences, which shape shopping behavior among men and women. Time and money spent at the mall was significantly high among female as compared to male consumers. Consequently, the results attributed that personal attributes and shopping mall attractiveness factors played a crucial role in influencing customer shopping behavior amongst the mall shoppers. The study concludes that gender differences are prevalent in the buying behavior of customers at the select shopping malls in Durban, South Africa. Average time spent by female is high as compared to male which also affect their average money spent at shopping mall. Psychological, Social and Cultural factors are highly influencing customers’ buying behavior at shopping malls. 

Is the Personal Always Political?

2017 ◽  
Vol 38 (3) ◽  
pp. 133-143 ◽  
Author(s):  
Danny Osborne ◽  
Yannick Dufresne ◽  
Gregory Eady ◽  
Jennifer Lees-Marshment ◽  
Cliff van der Linden
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Negative Relationship ◽  
Openness To Experience ◽  
Political Sophistication ◽  
Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

Connectives Increase Knowledge-Based Inferences

1994 ◽  
Author(s):  
Gregory Barker ◽  
Keith Millis ◽  
Jonathan M. Golding
Keyword(s):  
Knowledge Based
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