Identifying Most Preferential Skyline Product Combinations

2017 ◽  
Vol 31 (11) ◽  
pp. 1759022 ◽  
Author(s):  
Zhibang Yang ◽  
Xu Zhou ◽  
Jin Mei ◽  
Yifu Zeng ◽  
Guoqing Xiao ◽  
...  
Keyword(s):  
Discount Rate ◽  
Purchase Intention ◽  
Exact Algorithm ◽  
Approximate Algorithm ◽  
Department Stores ◽  
Skyline Query ◽  
Efficiency And Effectiveness ◽  
Promotion Strategies ◽  
First Time ◽  
High Dimensional Datasets

Nowadays, department stores and online merchants usually develop some price promotion strategies to attract customers and increase their purchase intention. Therefore, it is significant for customers to pick out attractive products and obtain the maximum discount rate. Admittedly, the skyline query is a most useful tool to find out attractive products. However, it does little to help select the product combinations with the maximum discount rate. Motivated by this, we identify an interesting problem, a most preferential skyline product (MPSP) combination discovering problem, which is NP-hard, for the first time in the literature. This problem aims to report all skyline product combinations having the maximum discount rate. Since the exact algorithm for the MPSP is not scalable to large or high-dimensional datasets, we design an approximate algorithm that guarantees the accuracy of the results. The experiment results demonstrate the efficiency and effectiveness of our proposed algorithms.

Seeking attention: an eye tracking study of in-store merchandise displays

2015 ◽  
Vol 43 (6) ◽  
pp. 561-574 ◽  
Author(s):  
Patricia Huddleston ◽  
Bridget K. Behe ◽  
Stella Minahan ◽  
R. Thomas Fernandez
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Purchase Intention ◽  
Product Information ◽  
Product Category ◽  
Practical Significance ◽  
Content Type ◽  
First Time ◽  
Tracking Technology

Purpose – The purpose of this paper is to elucidate the role that visual measures of attention to product and information and price display signage have on purchase intention. The authors assessed the effect of visual attention to the product, information or price sign on purchase intention, as measured by likelihood to buy. Design/methodology/approach – The authors used eye-tracking technology to collect data from Australian and US garden centre customers, who viewed eight plant displays in which the signs had been altered to show either price or supplemental information (16 images total). The authors compared the role of visual attention to price and information sign, and the role of visual attention to the product when either sign was present on likelihood to buy. Findings – Overall, providing product information on a sign without price elicited higher likelihood to buy than providing a sign with price. The authors found a positive relationship between visual attention to price on the display sign and likelihood to buy, but an inverse relationship between visual attention to information and likelihood to buy. Research limitations/implications – An understanding of the attention-capturing power of merchandise display elements, especially signs, has practical significance. The findings will assist retailers in creating more effective and efficient display signage content, for example, featuring the product information more prominently than the price. The study was conducted on a minimally packaged product, live plants, which may reduce the ability to generalize findings to other product types. Practical implications – The findings will assist retailers in creating more effective and efficient display signage content. The study used only one product category (plants) which may reduce the ability to generalize findings to other product types. Originality/value – The study is one of the first to use eye-tracking in a macro-level, holistic investigation of the attention-capturing value of display signage information and its relationship to likelihood to buy. Researchers, for the first time, now have the ability to empirically test the degree to which attention and decision-making are linked.

scholarly journals Channel Depth or Consistency? A Study on Establishing a Sustainable Omnichannel Strategy for Fashion Department Store Retailers

2021 ◽  
Vol 13 (13) ◽  
pp. 6993
Author(s):  
Caroline Kopot ◽  
Brenda J. Cude
Keyword(s):  
Business Strategy ◽  
Purchase Intention ◽  
Structural Equation ◽  
Department Store ◽  
Purchase Intentions ◽  
Equation Modeling ◽  
Technological Advancement ◽  
Department Stores ◽  
Channel Depth ◽  
Confirmatory Factor

In recent years, fashion department stores have struggled to sustain their foothold in the competitive market due to changing consumer behavior as well as technological advancement. This study aimed to examine customers’ perspectives on the shopping channels of omnichannel fashion department stores. The analysis was based on data from 552 customers who shopped at U.S. omnichannel fashion department stores. Confirmatory factor analysis and structural equation modeling were utilized to analyze the hypothesized relationship. The results showed that brand attitude mediated the influence of perceived fluency of customers’ purchase intentions in the omnichannel fashion department store setting. Content consistency and process consistency also positively affected customers’ perceived fluency of the channels of those fashion department stores. Customers are more likely to purchase from a fashion department store that provides consistent content and processes across the multiple shopping channels from which they can purchase merchandise. Further, customers value consistency of the content and processes across all fashion department store channels. The results are insightful especially for industry practitioners, as it enables them to develop a sustainable omnichannel business strategy by focusing on the depth of the channels and channel consistencies (content and process) while improving customers’ purchase intention from their stores.

scholarly journals Computing Simplicial Depth by Using Importance Sampling Algorithm and Its Application

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Fanyu Meng ◽  
Wei Shao ◽  
Yuxia Su
Keyword(s):  
Importance Sampling ◽  
Testing Machine ◽  
Exact Algorithm ◽  
Real Data ◽  
Exact Algorithms ◽  
Approximate Algorithm ◽  
Sampling Algorithm ◽  
Simplicial Depth ◽  
Low Efficiency ◽  
Np Problem

Simplicial depth (SD) plays an important role in discriminant analysis, hypothesis testing, machine learning, and engineering computations. However, the computation of simplicial depth is hugely challenging because the exact algorithm is an NP problem with dimension d and sample size n as input arguments. The approximate algorithm for simplicial depth computation has extremely low efficiency, especially in high-dimensional cases. In this study, we design an importance sampling algorithm for the computation of simplicial depth. As an advanced Monte Carlo method, the proposed algorithm outperforms other approximate and exact algorithms in accuracy and efficiency, as shown by simulated and real data experiments. Furthermore, we illustrate the robustness of simplicial depth in regression analysis through a concrete physical data experiment.

DIMMA-Implemented Metaheuristics for Finding Shortest Hamiltonian Path Between Iranian Cities Using Sequential DOE Approach for Parameters Tuning

2012 ◽  
pp. 289-305
Author(s):  
Masoud Yaghini ◽  
Mohsen Momeni ◽  
Mohammadreza Sarmadi
Keyword(s):  
Hamiltonian Path ◽  
Search Algorithms ◽  
Sequential Design ◽  
Cpu Time ◽  
Local Search Methods ◽  
Parameters Tuning ◽  
Efficiency And Effectiveness ◽  
Np Complete ◽  
First Time

A Hamiltonian path is a path in an undirected graph, which visits each node exactly once and returns to the starting node. Finding such paths in graphs is the Hamiltonian path problem, which is NP-complete. In this paper, for the first time, a comparative study on metaheuristic algorithms for finding the shortest Hamiltonian path for 1071 Iranian cities is conducted. These are the main cities of Iran based on social-economic characteristics. For solving this problem, four hybrid efficient and effective metaheuristics, consisting of simulated annealing, ant colony optimization, genetic algorithm, and tabu search algorithms, are combined with the local search methods. The algorithms’ parameters are tuned by sequential design of experiments (DOE) approach, and the most appropriate values for the parameters are adjusted. To evaluate the proposed algorithms, the standard problems with different sizes are used. The performance of the proposed algorithms is analyzed by the quality of solution and CPU time measures. The results are compared based on efficiency and effectiveness of the algorithms.

DIMMA-Implemented Metaheuristics for Finding Shortest Hamiltonian Path Between Iranian Cities Using Sequential DOE Approach for Parameters Tuning

2011 ◽  
Vol 2 (2) ◽  
pp. 74-92 ◽  
Author(s):  
Masoud Yaghini ◽  
Mohsen Momeni ◽  
Mohammadreza Sarmadi
Keyword(s):  
Social Economic ◽  
Undirected Graph ◽  
Hamiltonian Path ◽  
Sequential Design ◽  
Local Search Methods ◽  
Parameters Tuning ◽  
Efficiency And Effectiveness ◽  
Np Complete ◽  
First Time

A Hamiltonian path is a path in an undirected graph, which visits each node exactly once and returns to the starting node. Finding such paths in graphs is the Hamiltonian path problem, which is NP-complete. In this paper, for the first time, a comparative study on metaheuristic algorithms for finding the shortest Hamiltonian path for 1071 Iranian cities is conducted. These are the main cities of Iran based on social-economic characteristics. For solving this problem, four hybrid efficient and effective metaheuristics, consisting of simulated annealing, ant colony optimization, genetic algorithm, and tabu search algorithms, are combined with the local search methods. The algorithms’ parameters are tuned by sequential design of experiments (DOE) approach, and the most appropriate values for the parameters are adjusted. To evaluate the proposed algorithms, the standard problems with different sizes are used. The performance of the proposed algorithms is analyzed by the quality of solution and CPU time measures. The results are compared based on efficiency and effectiveness of the algorithms.

Consumer’s love for functional brands: the Aspirin case

2016 ◽  
Vol 10 (4) ◽  
pp. 477-491 ◽  
Author(s):  
Ana Pinto Borges ◽  
Cláudia Cardoso ◽  
Paula Rodrigues
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Communication Strategy ◽  
Brand Love ◽  
Content Type ◽  
Product Categories ◽  
Brand Engagement ◽  
Positive Word Of Mouth ◽  
First Time

Purpose This study aims to check which scale of love brand developed by Carroll and Ahuvia (2006) or Mohammadian and Karimpour (2014) have better adhesion to the perception of Aspirin love brand, that is, a functional brand. Design/methodology/approach The conceptual models and associated hypotheses are tested with a sample of 321 consumers. Data were analyzed through a structural equation model. Findings The results demonstrate strong relationships between the three antecedents (brand engagement, confidence and overall attitude) and brand love and between brand love and its consequences (brand loyalty, positive word of mouth and brand purchase intention) in both scales. Research limitations/implications The main limitation of the study relates to the sample, which is only of Portuguese consumers and does not match the main socio-demographic characteristics of the population. Therefore, the study should be seen as exploratory on the brand love in the case of functional brands. Practical implications The knowledge that a consumer can establish an emotional relationship with a functional brand, in a highly competitive sector as the pharmaceutical sector, in particular in drugs that are sold without a prescription, can help managers in defining their communication strategy appealing to the emotions and long-term involvement with the consumed. Originality/value Few studies about the background of the brand love and those that exist are linked to hedonic product categories and self-expressive brands. It is the first time that the brand love for a medicine is evaluated.

scholarly journals Ultrasound-assisted extraction of Psyllium mucilage: evaluation of functional and technological properties

2020 ◽  
pp. 238
Author(s):  
Gabriela Sena Souza ◽  
Rita de Cassia Bergamasco ◽  
Ana Paula Stafussa ◽  
Grasiele Scaramal Madrona
Keyword(s):  
Purchase Intention ◽  
Water Solubility ◽  
Ice Cream ◽  
Melting Process ◽  
Absorption Capacity ◽  
Technological Properties ◽  
Ultrasound Assisted Extraction ◽  
Assisted Extraction ◽  
Significant Difference ◽  
First Time

 The objective of this work was to optimize the extraction of psyllium mucilage and to evaluate its functional and technological properties, aiming for the first time the use in ice cream. A factorial design was carried out to test different extraction conditions. Were evaluated the water solubility (WS) and oil absorption capacity. Mucilage (gel and dried) was applied in ice cream, and submitted to overrun, melting, color and sensory analysis. Time and temperature were significant parameters, being the best conditions at 60ºC for 2 hours. Samples presented WS between 200 and 1400 g/kg, increasing proportionally to temperature. Ice cream with gel presented higher value and started the melting process faster than the mucilage one. There was a significant difference between samples in flavor, color and texture, and the purchase intention of most tasters indicated "maybe would buy", and both ice cream (with gel and with mucilage) presented hight acceptance index. Psyllium presented good technological properties, that are very desirable in food products. It was possible to find the best condition for psyllium mucilage extraction and an ice cream application obtaining a product with good acceptance (82%).

scholarly journals Information quality, homophily, and risk propensity: Consumer responses to online hotel reviews

2015 ◽  
Vol 18 (2) ◽  
pp. 241 ◽  
Author(s):  
Sony Kusumasondjaja
Keyword(s):  
Purchase Intention ◽  
Information Quality ◽  
Product Information ◽  
Consumer Trust ◽  
Online Review ◽  
Risk Propensity ◽  
Consumer Responses ◽  
Consumer Risk ◽  
Efficiency And Effectiveness ◽  
The Moment

Searching through online review sites becomes an alternative for consumers to obtain product information. The efficiency and effectiveness in finding quality information on the online review sites contributes to the popularity of online review sites among consumers at the moment. There are some previous studies discussing consumer trust on hotels being reviewed on online review sites, but the roles of information quality, homophily, and consumer risk propensity as antecedents of trust and online purchase intention are still questionable. The purpose of this study is to investigate how information quality, homophily, and consumer risk propensity affect consumer trust on hotels being reviewed on online review sites and on intention to make a reservation. A survey involving 430 young travelers from 16 countries was conducted in popular tourist destination. Results confirm that information quality influences consumers’ trust on hotel being reviewed and intention to make reservation. Moreover, consumer online trust is also found to affect intention to make reservation.

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