Relevant bibliographies by topics / Customer purchase

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Customer purchase'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Customer purchase"

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Shariff, S. Sarifah Radiah, Zurriyati Bakri, and Pa'ezah Hamzah. "Association Rules for Purchase Dependency of Grocery Items." Social and Management Research Journal 13, no. 2 (2016): 61. http://dx.doi.org/10.24191/smrj.v13i2.5271.

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Customer purchasing behaviour is reflected in the choice of products consumers purchased. An item that a customer purchases sometimes depends on the purchase of another item. Retailers can use purchasing dependencies for planning replenishment of inventory to avoid stock-outs. However, such dependencies are usually not visible. This study uses the data mining approach in finding associations between products purchased by customers from a supermarket and four retail shops. Primary data were obtained from 130 single-sales transactions made over a seven days period by customers of the supermarket and retail stores. Association rules for purchase dependencies were mined using two different algorithms, Apriori and Carma, on IBM SPSS Modeller 15. Results indicated that for retail shops, the purchase of grocery products depends on the availability of fresh food items with 83.33% confidence, and 40% of the customers tend to purchase both items within one transaction. For the supermarket, customers are 27.06% more frequent to buy grocery products together with health beauty products and fresh foods items with 96.66% confidence.
 Keywords: purchase dependency, association rules, apriori model, carma model
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Rahimova, Sabina. "Impact of online customer reviews on purchasing, repurchasing, and loyalty behaviours: A study on electronic products." International Journal of Business and Management (IJBM) 4, no. 2 (2025): 67–80. https://doi.org/10.56879/ijbm.v4i2.133.

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Nowadays, customer reviews have a significant impact on customers' purchase intentions. Customer reviews are a key factor influencing purchase decisions, as they provide transparent insights into products and services. As part of eWOM, online customer reviews are positive, negative and neutral, and these factors influence buying behaviour in different ways. Satisfied customers always write positive reviews about the product, these reviews can increase the number of customers, which can increase the profit of marketers and also increase brand loyalty. For this study, electronic products were chosen to understand how online customer reviews affect their buying behaviour, repeat purchases, and loyalty. This study employed a quantitative research approach to examine the impact of online customer reviews. A self-administered questionnaire was used to collect primary data from 402 respondents in Turkey, all of whom had purchased electronic products online in past years. The survey consisted of four sections, covering demographic characteristics, online customer reviews, purchase behaviour, repurchase behaviour, and customer loyalty. A five-point Likert scale was used to assess consumer attitudes. The questionnaire, originally in English, was translated into Turkish for accessibility. Findings show that online customer reviews significantly influence purchasing, repurchasing, and loyalty behaviour. Positive reviews build trust and drive sales, while negative reviews reduce purchases. Businesses should manage reviews effectively to enhance brand reputation and customer loyalty.
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Takaya, Rowlan. "Antecedents Analysis of Purchase Intention." Business and Entrepreneurial Review 16, no. 1 (2019): 1. http://dx.doi.org/10.25105/ber.v16i1.4906.

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The advancement of technology has resulted in the creation of a new form of shopping transactions. This technology is used by residents to shop online. Thus, customers’ involvements in online purchasing have become an important trend. The objective of this research was to identify the determinants of customer purchases online. This study used a surveymethod using questionnaires and the target is an online customer in Central Jakarta.This research used simple regression to determine the effect of purchace intention to factors that influence it. Data questionnaire distributed directly to the respondents who never buy online shopping. Findings revealed that impulse purchase intention, quality orientation, brand orientation, online trust and prior online purchase experience were positively related to the customer online purchase intention.
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Baiq Nikum Yulisasih, Herman Herman, and Sunardi Sunardi. "K-Means Clustering Method For Customer Segmentation Based On Potential Purchases." Jurnal ELTIKOM 8, no. 1 (2024): 83–90. http://dx.doi.org/10.31961/eltikom.v8i1.1137.

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The rapid growth in customer data has driven companies to develop smarter and more effective marketing strategies. One efficient approach is customer segmentation, which involves dividing a market or group of customers into smaller segments based on similar characteristics or behaviors. Customer segmentation improves understanding of customer needs, preferences, and behavior. This study uses customer segmentation based on purchase potential at Fast Moving Consumer Goods (FMCG). Analyzing potential purchases can help identify market opportunities, implement more effective pricing, target promotions, manage stock and distribution, and develop new products to enhance customer satisfaction. The most commonly used segmentation method is the K-Means Clustering algorithm, which groups data into homogeneous clusters. This study aims to segment customers based on potential purchases using the K-Means Clustering method. The customer dataset in FMCG stores was divided into three clusters using seven attributes: Sex, Marital Status, Age, Education, Income, Occupation, and Settlement Size. The results, calculated in Microsoft Excel, concluded after four iterations with three clusters: k1 (Cluster 1) with 535 customers having low purchase potential, k2 (Cluster 2) with 685 customers having high purchase potential, and k3 (Cluster 3) with 7810 customers having medium purchase potential.
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Guo, Lei, An An Hu, and Er Wa Qin. "Dynamic Prediction of Individual Customer’s Purchase Behavior." Advanced Materials Research 850-851 (December 2013): 998–1002. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.998.

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Each customer has specific purchase regularity. To predict the customers purchase behavior, some researchers have built a static model which not considere the environmental change and the customers characteristics. To dynamically predict customer purchase behavior, this paper introduces a posteriori estimation method. Based on the customers purchased information, the method combine with the customers current events, then applies the Bayes theorem to posteriori estimate the customers purchase behavior. The new method not only predict individual customers purchase behavior, but also improve the prediction accuracy. It will be helpful for the enterprises to optimize arrangements for the production and inventory and reduce operating costs.
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Zhang, Xiaoling, Siriwan Kitcharoen, and Bhumiphat Gilitwala. "UNDERSTANDING PURCHASE INTENTION OF CHINESE CUSTOMER TOWARDS SHARING POWER BANK ENERGY MONSTER AS EXAMPLE." INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMMERCE, MANAGEMENT & SOCIAL SCIENCE 08, no. 01(I) (2025): 67–78. https://doi.org/10.62823/ijarcmss/8.1(i).7123.

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Purpose: This study aims to investigate the effects of perceived value, customer attitude, brand loyalty, and customer trust on purchase intention. The above relationships reflect the purchase intention of Chinese customers who intend to purchase sharing power bank services or have already purchased sharing power bank services. Design/Methodology/Approach: This study used Multiple Linear Regression and primary data collection methods to investigate the factors associated with surveying perceived value, customer attitude, brand loyalty, and customer trust to understand the impact of sustainable sharing power bank services on the purchase intention of Chinese customers. Data were collected from 474 respondents. This study referenced some theoretical frameworks from prior research are integrated to develop a novel conceptual framework. Findings: This research found that customer attitude, brand loyalty, and customer trust had a positive impact on purchase intention. While perceived value had no effect on purchase intention. Research Limitations/Implications: This study specifically focused on Chinese customers, which may limit its applicability to customers in other countries. Therefore, the findings may change over time, the occurrence of specific events, and other uncontrollable emergencies. In addition, the sample size of 474 respondents may not be representative or random enough to reflect the Chinese customer base. Originality/Value: This study provides valuable reference for managers of sharing power bank companies to make wise management decisions.
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Alysha Lathifah, Hadita Hadita, and Neng Siti Komariah. "Pengaruh Online Customer Review Dan Electronic Word Of Mouth Terhadap Keputusan Pembelian Melalui Kepercayaan Pelanggan." Jurnal Penelitian Ekonomi Manajemen dan Bisnis 3, no. 2 (2024): 110–24. http://dx.doi.org/10.55606/jekombis.v3i2.3481.

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This study aims to determine the effect of online customer reviews and electronic word of mouth on purchase decisions through customer trust. The research method used in this research is quantitative method. Respondents in this study were consumers using Shopee in Teluk Pucung, Bekasi City. The population in this study are customers who have purchased fashion products online on the Shopee platform. This sampling technique uses the Accidental sampling method which are calculated using the Hair formula. Based on calculations using the Hair formula, it can be concluded that the number of samples obtained was 180 samples. The data used in this study is primary data, namely by distributing questionnaires. The measurement scale used is a Likert scale. The data analysis technique used in this research is structural equation modeling or SEM with the help of SmartPLS 4.0 software. The results showed that the online customer review variables had a positive and significant effect on customer trust, the electronic word of mouth variables had a positive and significant effect on customer trust, the customer trust variables had a positive and significant effect on purchase decisions, the online customer review variables had a positive and significant effect on purchases decisions through customer trust, and electronic word of mouth variables had a positive and significant effect on purchase decisions through customer trust.
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Wondiwoy, Wellem Ghori, and Eddy Yansen. "Understanding Customer Purchase Style Effect On Customer Satisfaction And Purchase Intention Toward Plant-Based Burgers." Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan 16, no. 6 (2023): 2475. http://dx.doi.org/10.35931/aq.v16i6.1741.

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<p><em>The main objective of this study is to examine the effect of customer purchase style, satisfaction, and purchase intention toward plant-based burgers. Second, to find out the effect of customer satisfaction and purchase intention among Non-Vegetarian in the city of Jakarta, Indonesia. This study uses a mixed approach (qualitative and quantitative. The data was gathered from 20 interviewed participants and 205 respondents of non-vegetarian customers of plant-based burgers in Jakarta. The qualitative data analysis was carried out using NVIVO 12 Pro, while the quantitative data analysis was carried out using Structural Equation Model – partial Least Square (SEM-PLS) using SmartPLS3. The Results of qualitative analysis find that the informants were perceived positively or impressed with plant-based burgers in terms of achievement, value and idea. The result of quantitative analysis shows that customer purchase style (hedonic and utilitarian) has a positive and significant effect among non-vegetarian customers in Jakarta. Customer purchase style (hedonic and utilitarian) has a positive and significant effect on purchase intention among non-vegetarian customers in Jakarta. Customer purchase style (hedonic and utilitarian) has a positive and significant effect on customer satisfaction among non-vegetarian customers in Jakarta. Customer satisfaction has a positive and significant effect among non-vegetarian customers in Jakarta. Customer satisfaction has a positive and significant effect on purchase intention among non-vegetarian customers in Jakarta. Though it was not hypothesized, Customer satisfaction mediates the effect of customer purchase style among non-vegetarian customers in Jakarta. Finally, customer satisfaction mediates the effect of customer purchase style on purchase intention among non- vegetarian customers in Jakarta</em></p>
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Ruqia Fatima, Abdul Mateen, Safoora Fatima, Sahera Sultana, Salandari Divya, and Salma Sultana. "Investigating Post-Purchase Behavior of Hero Motor Bikes Customers: A Study with Special Reference to K.M Motors, Changaramkulam." international journal of engineering technology and management sciences 8, no. 2 (2024): 296–300. http://dx.doi.org/10.46647/ijetms.2024.v08i02.037.

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This research aims to conduct a comprehensive study on the post-purchase behavior of customers who have bought Hero Motor Bikes, with a specific focus on their experiences at K.M Motors in Changaramkulam. Understanding the factors that influence post-purchase behavior is critical for both the dealership and the manufacturer to enhance customer satisfaction, loyalty, and overall brand perception. Utilizing a mixed-methods research design, this study combines qualitative insights obtained through customer interviews, surveys, and service records analysis with quantitative data to comprehensively analyze the post-purchase behavior of Hero Motor Bikes customers at K.M Motors. The qualitative component seeks to uncover nuanced perspectives on customer experiences, satisfaction drivers, and areas for improvement, while the quantitative analysis focuses on measuring customer satisfaction levels and identifying patterns. The research will explore various aspects of post-purchase behavior, including customer perceptions of product performance, the quality of after-sales service provided by K.M Motors, and the overall dealership experience. It aims to assess the impact of factors such as timely service, communication, and customer support on brand loyalty and repeat purchases. Furthermore, the study will investigate the role of marketing communications, warranty programs, and customer engagement initiatives in influencing customers' perceptions after the purchase of Hero Motor Bikes. The findings from this research are expected to provide valuable insights for K.M Motors, Hero Motor Bikes, and other stakeholders in the automotive industry. By understanding the post-purchase behavior of customers, both the dealership and the manufacturer can refine strategies, improve service offerings, and contribute to the overall satisfaction and loyalty of Hero Motor Bikes customers in Changaramkulam. This study serves as a foundation for informed decision-making and future research within the realm of post-purchase behavior in the automotive sector.
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Alimin, Erina, and Felix Emmanuel Tanny. "The Effect of Promotion , Brand Image and Social Media on Customer Purchase Decision at Fritto Chicken Sumarsono." Jurnal Ilmiah Global Education 5, no. 2 (2024): 1627–38. http://dx.doi.org/10.55681/jige.v5i2.2546.

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The promotion activity carried out during the year 2023 at Fritto Chicken Sumarsono Branch in Medan were found to be quite a lot, but the promotions conducted on social media platforms through Fritto chicken accounts show a limited reach to customers, resulting in a lack of awareness and participation in purchase decision. Does Promotion have partially effect on customer purchase decision at Fritto Chicken Sumarsono branch, does brand image have partially effect on customer purchase decision at Fritto Chicken Sumarsono branch, does social media have partially effect on customer purchase decision at Fritto Chicken Sumarsono branch, do promotion, brand image and social media have simultaneous effect on customer purchase decision at Fritto Chicken Sumarsono branch. This research uses quantitative research. The sample in this study was 97 respondents with the criteria: costumers who are above 18 years old, gender male and female, customers who have made purchases at least once at Fritto Chicken Sumarsono. The basic data for this study was collected through interviews with the supervisor and surveys administered to customers of the Fritto Chicken Sumarsono branch in Medan. The research and analysis conducted with validity test, reliability test, normality test, heteroscedasticity test, multicollinearity test, coefficient of determination test, the multiple linear regression. The research results show that Promotion has partial effect on the consumer purchase decision. Brand image has partial effect on the consumer purchase decision. Social media has partial effect on the consumer purchase decision. Promotion, brand image, and social media effect customer purchase decision simultaneously at Fritto Chicken Sumarsono branch.
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Dissertations / Theses on the topic "Customer purchase"

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Sällberg, Henrik. "Customer Rewards Programs : Designing Incentives for Repeated Purchase." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00456.

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Firms have since long given their regular customers special treatment. With the help of IT, many firms have established formal ways to do this. An example is a so-called customer rewards program (CRP), by which the firm rewards the customer for repeated purchase. Firms allocate large resources in these programs with millions of customers enrolled. Hence, it seems important that the CRP works effectively. By effective we mean that it increases sales. Whether it is effective or not is a matter of how it is designed. A CRP typically comes with membership levels. We study how many membership levels the firm should offer in an effective program. We also study if customers prefer individual or group rewards and whether a CRP can break and create habitual purchasing behavior. In the study, we also analyze under what conditions the customer prefers a CRP over a sales promotion. In general, the study adds to the understanding of Customer Rewards Programs as an incentive structure. There are many different ways to design these incentives and especially the continuing development of IT is expected to influence the future design and role of these types of programs. This study is part of the Swedish Research School of Management and Information Technology (MIT) which is one of 16 national research schools supported by the Swedish Government. MIT is jointly operated by the following institutions: Blekinge Institute of Technology, Gotland University College, Jönköping International Business School, Karlstad University, Linköping University, Lund University, Mälardalen University College, Stockholm University, Växjö University, Örebro University, IT University of Göteborg, and Uppsala University, host to the research school. At the Swedish Research School of Management and Information Technology (MIT), research is conducted, and doctoral education provided, in three fields: management information systems, business administration, and informatics.
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Adjei, Mavis Tandoh. "Online customer-to-customer communications as drivers of relationship quality and purchase behavior /." Full text available from ProQuest UM Digital Dissertations, 2006. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1410676361&SrchMode=2&sid=3&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1218484033&clientId=22256.

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Klimo, Ján. "Stimulating Repeat Purchase Behavior: Case Study of Solosso Company." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-113956.

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The goal of this thesis is to propose strategies that profitably stimulate repeat purchase behaviour of Solosso's customers, Solosso being an e-commerce start-up producing custom made dress shirts. In order to accomplish the stated goal, research has been conducted into the existing body of literature about the subject, models for managing customers for value have been presented and applied on Solosso's customer database. Additionally, customer survey has been conducted to better understand customers' behaviour. Based on the applied models and the findings from the survey, the thesis delivers a set of recommendations on how to improve the product, what customers to acquire and, finally, what strategies to employ in order to profitably stimulate repeat purchase behaviour of the four main groups of Solosso's customers. The methods and strategies are expected to generate substantial incremental profits and may be implemented in other businesses as well.
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Guarda, Joana Maria Godinho. "Customer perceptions in premium purchase intention : Mercedes vs. BMW." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/21220.

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Mestrado em Marketing<br>As alterações nível sociocultural e económico em Portugal nas últimas décadas, alteraram os hábitos de compra dos portugueses. Devidas alterações criaram a necessidade de compreender quais os factores que antecedem a lealdade dos consumidores e por conseguinte decisão de compra. Especificamente na indústria automóvel, onde existe uma vasta escolha de marcas, é imposto o desafio de diferenciação. Este estudo pretende examinar quais os factores que mais influenciam a Lealdade dos consumidores em duas marcas, percecionadas como premium no mercado português, BMW e Mercedes. Esta investigação empírica, é de natureza quantitativa, realizada através de um inquérito desenvolvido e aplicado a uma amostra não-probablística, selecionada por julgamento (n=503). De todas as respostas recolhidas, foram consideradas válidas 213 para este estudo, que correspondem a inquéritos concluídos de respondentes que conhecem ambas as marcas. Os resultados adquiridos, sugerem que a influência da perceção dos consumidores varia para cada marca. Para ambas as marcas a Resistência à Mudança e a Satisfação têm impacto na Lealdade à marca. No entanto "Valor da Marca" influência também a Lealdade à BMW, e o Afeto à marca Mercedes. As perceções do consumidor foram testadas para compreender o efeito na intenção de compra, concluindo que o Afeto é algo que influencia ambas as marcas, bem como a Satisfação para a marca Mercedes.<br>The changing economic and socio-cultural forces of the last decades have led to a great shift in customers' buying habits in Portugal. Those influences rose the need to comprehend which factors precede customers' Loyalty and will influence its purchase decision. Specifically, in the case of automotive industry, where a wide range of brands becomes greater and a challenge is imposed. This study aims to examine the impact of customer Loyalty in its customers for two car brands, perceived as premium brands, in the Portuguese market - Mercedes and BMW. The empirical search in this study is of a quantitative nature in which a survey was developed and applied to a non-probabilistic judgement sample (n= 503). In total, 213 valid surveys were considered for this study (only completed surveys from respondents who knew both brands). Interestingly, the obtained results suggest that Loyalty is influenced by different Customer Perceptions, varying by brand. For both Mercedes and BMW Resistance to Change and Satisfaction lead to Loyalty. However, Brand Equity also influences BMW's Loyalty, and by opposite Affect also impact Loyalty for Mercedes. Loyalty was found to be a driver for Purchase Intention for both brands. Customers' Purchase Intention is, for both brands, directly influenced by Affect, but only the Purchase Intention of Mercedes is also strongly influenced also by Customer Satisfaction.<br>info:eu-repo/semantics/publishedVersion
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Sheehan, Benjamin. "How interjections increase customer satisfaction, purchase intent and loyalty." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/232832/1/Benjamin_Sheehan_Thesis.pdf.

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This research suggests that interjections e.g., “wow”, “aww”, and “hmm”, shape consumer attitudes and behaviours. Seven experiments demonstrate that consumers are more satisfied, willing to purchase, and loyal when service agents (human or chatbot) use interjections. Consumers respond positively to interjections because they feel listened to, feel the agent is in a positive mood, and feel the agent is human. The effect holds across a range of contexts and stages of the purchasing process. The findings shed light on a range of psychological processes while providing a straightforward means of enhancing satisfaction, purchase intent, and loyalty.
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Seock, Yoo-Kyoung. "Analysis of Clothing Websites for Young Customer Retention based on A Model of Customer Relationship Management via the Internet." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11053.

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In today's era of intense competition for acquiring and retaining customers, customer retention has become a major issue and a key objective in modern retailing. With the emergence of new information technologies, the Internet offers new possibilities for customer retention through the management of relationships between marketers and consumers. Little empirical research has addressed the role of Internet websites in retaining customers for particular brands or at particular stores. The purpose of this research was to determine the effects of the attitudes of a sample of young consumers aged 18 to 22 toward their favorite websites on intentions to purchase through the Internet and channels other than Internet clothing websites. The data were collected using an online survey with a structured questionnaire. The subjects of the study were 414 male and female undergraduate and graduate students at Virginia Tech and The Ohio State University, who were aged 18 to 22 and non-married. Several hypotheses were put forward and results except for one hypothesis were supported. Factor analysis, cluster analysis, factorial MANOVA, canonical correlation analysis, multiple regression, path analysis, and t-tests were employed to test the research hypotheses on the relationships among the variables. The factorial MANOVA results showed that shopping orientation and previous online shopping experience affected the evaluation of general clothing website characteristics, as well as the evaluation of favorite clothing websites. The canonical correlation results revealed that the product information, customer service, and navigation factors represented the favorite clothing website characteristics and were well predicted by the same constructs of the general clothing website characteristics. The path analysis revealed that attitudes toward favorite clothing websites were positively related to intentions to search for information at favorite clothing websites, and that intentions to search for information at those websites were positively related to intentions to purchase from those websites as well as from channels other than Internet clothing websites. Attitudes toward favorite clothing websites were directly and positively related to intentions to purchase clothing items from favorite clothing websites, and were not directly related to intentions to purchase clothing items from channels other than Internet clothing websites. The results also showed that shopping orientation affected intentions to search for information on one hand, and intentions to purchase clothing items from favorite clothing websites on the other. The online information search and purchase groups were significantly different in their intentions to purchase clothing items from their favorite clothing websites. From the results of the present research, it is concluded that Internet websites play a pivotal role in forming consumers� attitude toward the websites, which eventually lead to their information search and purchase intention from the websites. In addition, consumers' online information search intentions influence their purchase intention at channels other than Internet. Thus, by establishing effective websites, marketers can retain their customers through multiple channels including the Internet, brick-and-mortar stores, and catalogs.<br>Ph. D.
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Postigo, Smura Michel Alexander. "Cluster analysis on sparse customer data on purchase of insurance products." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-249558.

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This thesis work aims at performing a cluster analysis on customer data of insurance products. Three different clustering algorithms are investigated. These are K-means (center-based clustering), Two-Level clustering (SOM and Hierarchical clustering) and HDBSCAN (density-based clustering). The input to the algorithms is a high-dimensional and sparse data set. It contains information about the customers previous purchases, how many of a product they have bought and how much they have paid. The data set is partitioned in four different subsets done with domain knowledge and also preprocessed by normalizing respectively scaling before running the three different cluster algorithms on it. A parameter search is performed for each of the cluster algorithms and the best clustering is compared with the other results. The best is measured by the highest average silhouette index. The results indicates that all of the three algorithms performs approximately equally good, with single exceptions. However, it can be stated that the algorithm showing best general results is K-means on scaled data sets. The different preprocessings and partitions of the data impacts the results in different ways and this shows that it is important to preprocess the input data in several ways when performing a cluster analysis.<br>Målet med detta examensarbete är att utföra en klusteranalys på kunddata av försäkringsprodukter. Tre olika klusteralgoritmer undersöks. Dessa är Kmeans (center-based clustering), Two-Level clustering (SOM och Hierarchical clustering) och HDBSCAN (density-based clustering). Input till algoritmerna är ett högdimensionellt och glest dataset. Det innhåller information om kundernas tidigare köp, hur många produkter de har köpt och hur mycket de har betalat. Datasetet delas upp i fyra delmängder med kunskap inom området och förarbetas också genom att normaliseras respektive skalas innan klustringsalgoritmerna körs på det. En parametersökning utförs för dem tre olika algoritmerna och den bästa klustringen jämförs med de andra resultaten. Den bästa algoritmen bestäms genom att beräkna the högsta silhouette index-medelvärdet. Resultaten indikerar att alla tre algoritmerna levererar ungefärligt lika bra resultat, med enstaka undantag. Dock, kan det bekräftas att algoritmen som visar bäst resultat överlag är K-means på skalade dataset. De olika förberedelserna och uppdelningarna av datasetet påverkar resultaten på olika sätt och detta tyder på vikten av att förbereda input datat på flera sätt när en klusteranalys utförs.
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Alstermark, Olivia, and Evangelina Stolt. "Purchase Probability Prediction : Predicting likelihood of a new customer returning for a second purchase using machine learning methods." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184831.

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When a company evaluates a customer for being a potential prospect, one of the key questions to answer is whether the customer will generate profit in the long run. A possible step to answer this question is to predict the likelihood of the customer returning to the company again after the initial purchase. The aim of this master thesis is to investigate the possibility of using machine learning techniques to predict the likelihood of a new customer returning for a second purchase within a certain time frame. To investigate to what degree machine learning techniques can be used to predict probability of return, a number of di↵erent model setups of Logistic Lasso, Support Vector Machine and Extreme Gradient Boosting are tested. Model development is performed to ensure well-calibrated probability predictions and to possibly overcome the diculty followed from an imbalanced ratio of returning and non-returning customers. Throughout the thesis work, a number of actions are taken in order to account for data protection. One such action is to add noise to the response feature, ensuring that the true fraction of returning and non-returning customers cannot be derived. To further guarantee data protection, axes values of evaluation plots are removed and evaluation metrics are scaled. Nevertheless, it is perfectly possible to select the superior model out of all investigated models. The results obtained show that the best performing model is a Platt calibrated Extreme Gradient Boosting model, which has much higher performance than the other models with regards to considered evaluation metrics, while also providing predicted probabilities of high quality. Further, the results indicate that the setups investigated to account for imbalanced data do not improve model performance. The main con- clusion is that it is possible to obtain probability predictions of high quality for new customers returning to a company for a second purchase within a certain time frame, using machine learning techniques. This provides a powerful tool for a company when evaluating potential prospects.
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Krawczyk, Adriana Cecylia. "Linking the customer purchase process to website development and e-commerce performance." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2008. http://irs.ub.rug.nl/ppn/.

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Yifan, Liu, Yang Xi, and Zhu Hanbing. "A study of the chips packaging amongyoung consumers in Sweden : From the perspective of customer satisfaction and customer’s purchase decisions." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-98118.

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The purpose of the study is to understand the satisfaction of young customers living in Sweden for a long time with the packaging of chips and the impact of packaging on their chip purchase and to discuss corporate social responsibility in connection with environmental sustainability. In this study, theoretical analysis, interviews, and focus groups are used as the research methods. Through the analysis of collected data and combined with the theory to carry out a comprehensive analysis. Through the analysis, it is found that the color, picture, and shape of packaging in the chips market in Sweden are the main factors affecting customers' purchase. It is also found that young customers still attach great importance to the sustainable development of the environment and think that the company should be responsible for this. The findings of this study can be considered to provide customers with real ideas for companies who want to understand the Swedish chip market and help them develop the Swedish market. Due to the lack of research on the packaging market in Sweden, the researchers hope that this study can be helpful to the relevant research.
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Books on the topic "Customer purchase"

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Albrethsen, Pernille, and Jacob Fabricius. Free Shop: Anything the customer wants to purchase is free. Pork Salad, 2009.

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Weiss, Allen M. Leapfrogging behavior and the purchase of industrial innovations: Theory and evidence. Marketing Science Institute, 1989.

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Baranov, Dmitriy. Encyclopedia for the customer. Purchase of the flat. KnoRus, 2011. http://dx.doi.org/10.15216/9785406019306.

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Order Book: Customer Order Log Book, Sales Order Log Keep Track of Your Customers Purchases, Customer Order Tracker, Purchase Order Organizer, Purchase Order Log Book Simple Purchase Order Tracking Book, 8. 5 X 11 150 Pages. Independently Published, 2021.

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Order Book: Customer Order Log Book, Sales Order Log Keep Track of Your Customers Purchases, Customer Order Tracker, Purchase Order Organizer, Purchase Order Log Book Simple Purchase Order Tracking Book, 8. 5 X 11 200 Pages. Independently Published, 2021.

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Order Book: Customer Order Log Book, Sales Order Log Keep Track of Your Customers Purchases, Customer Order Tracker, Purchase Order Organizer, Purchase Order Log Book Simple Purchase Order Tracking Book, 8. 5 X 11 150 Pages. Independently Published, 2021.

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Order Book: Customer Order Log Book, Sales Order Log Keep Track of Your Customers Purchases, Customer Order Tracker, Purchase Order Organizer, Purchase Order Log Book Simple Purchase Order Tracking Book, 8. 5 X 11 150 Pages. Independently Published, 2021.

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Order Book: Customer Order Log Book, Sales Order Log Keep Track of Your Customers Purchases, Customer Order Tracker, Purchase Order Organizer, Purchase Order Log Book Simple Purchase Order Tracking Book, 8. 5 X 11 200 Pages. Independently Published, 2021.

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Order Book: Customer Order Log Book, Sales Order Log Keep Track of Your Customers Purchases, Customer Order Tracker, Purchase Order Organizer, Purchase Order Log Book Simple Purchase Order Tracking Book, 8. 5 X 11 200 Pages. Independently Published, 2021.

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Order Book: Customer Order Log Book, Sales Order Log Keep Track of Your Customers Purchases, Customer Order Tracker, Purchase Order Organizer, Purchase Order Log Book Simple Purchase Order Tracking Book, 8. 5 X 11 150 Pages. Independently Published, 2021.

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Book chapters on the topic "Customer purchase"

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Lambin, Jean-Jacques, and Isabelle Schuiling. "The Customer Purchase Behaviour." In Market-Driven Management. Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-0-230-36312-0_6.

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Luo, Ling. "Tracking Purchase Behaviour Changes." In Temporal Modelling of Customer Behaviour. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18289-2_4.

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Luo, Ling. "Discovering Purchase Behaviour Patterns." In Temporal Modelling of Customer Behaviour. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18289-2_5.

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Kaur, Jaspreet, and Kajal Puri. "Gamification Stimulates Customer E-Purchase Intention." In Marketing and Gamification. Routledge, 2024. http://dx.doi.org/10.4324/9781032694238-10.

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Dehankar, A. V., Suraj Bangade, Tanay Tijare, Ayush Wankhede, Akash Tidke, and Samyak Meshram. "Customer Segmentation and Purchase Prediction System." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-8537-7_35.

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Cui, Shiliang, Zhongbin Wang, and Luyi Yang. "In-Queue Priority Purchase." In Innovative Priority Mechanisms in Service Operations. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30841-3_7.

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AbstractThe extant priority-purchasing literature has restricted attention to the case where the only epoch for customers to purchase priority is upon arrival, and if customers choose not to upgrade when they arrive, they cannot do so later during their wait. A natural alternative is to let customers pay and upgrade to priority at any time during their stay in the queue, even if they choose not to do so initially. For instance, visitors to the London Eye could purchase a fast-track ticket at any point in their waiting process. Likewise, USCIS could allow a petitioner to file a request of expedited processing at any time after submission, not just at the moment of submission. If in-queue priority purchase is enabled, an immediate follow-up design question is whether to let customers in the regular line upgrade all at once (i.e., simultaneously) or one at a time (i.e., sequentially). In light of these considerations, this chapter examines the following two questions regarding in-queue priority purchase: (1) how will customers behave if they can upgrade to priority at any time during their wait in the queue? (2) how will rules on the specific timing of priority upgrade (i.e., simultaneous vs. sequential) impact customer behavior? This chapter is primarily based on Wang et al. (Queueing Syst 97:343–381, 2021) where interested readers can find proofs of the findings shown in this chapter.
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Eisingerich, Andreas, Omar Merlo, Jan Heide, and Paul Tracey. "Customer Satisfaction and Purchase Behavior: The Role of Customer Input." In Looking Forward, Looking Back: Drawing on the Past to Shape the Future of Marketing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24184-5_57.

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Threstia, Yolanda, Erna Andajani, and Juliani Dyah Trisnawati. "The Influence of Customer Experience and Perceived Risk on Online Purchase Intention." In Proceedings of the 19th International Symposium on Management (INSYMA 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_134.

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AbstractThis research aims to analyze and determine the influence of online customer experience and perceived risk on online purchase intentions in e-commerce. This research model used five variables, including online customer experience, product risk, financial risk, privacy risk, and online purchase intention, with seven hypotheses. This type of research is causal research. For data collection, researchers obtained data sources derived from respondents conducted online. This research used a non-probability sampling-purposive sampling method. This study shows that the financial hypothesis of risk and privacy risk has a negative and insignificant effect on online purchase intentions. The online customer experience hypothesis significantly affects the product, financial, and privacy risks. The online customer experience hypothesis has a positive and significant effect on online purchase intentions.
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Kikuchi, Hiroaki. "Differentially Private Profiling of Anonymized Customer Purchase Records." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66172-4_2.

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Saito, Retsuya, Kohei Otake, and Takashi Namatame. "Customer Visit Prediction Using Purchase Behavior and Tendency." In Social Computing and Social Media: Applications in Marketing, Learning, and Health. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77685-5_10.

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Conference papers on the topic "Customer purchase"

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Hepner, Stephen, and Jessica Bufort. "Implementation of the Product Equipment List to Further Enhance Safety on Commercial Rotorcraft." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11528.

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This paper will discuss how Sikorsky's Aviation and Product Safety (A&amp;PS) Organization is actively promoting a recently developed initiative known as the Product Equipment List (PEL) to enhance safety on their commercial aircraft models. The PEL initiative is managed by a committee of individuals with extensive experience in areas of rotorcraft system safety, accident investigation, pilot operations, engineering design and development, marketing and sales, litigation management, and customer support. The committee oversees a classification tool that separates optional and regulatory safety equipment for customers during final aircraft purchase. Sikorsky takes the initiative to ensure the customer fully understands the potential consequences of removing optional safety equipment from the final purchase configuration.
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Gopakumar, Amritha, Aathira Shine, Amina Ajim, and Anjali T. "Consumer Behaviour Analysis for Customer Segmentation and Purchase Prediction." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717226.

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Zhou, CiWei, QingHua Zhu, XingLiang Zhang, and Yan Hou. "Customer Purchase Intention Prediction Based on Stacking Ensemble Learning." In 2025 IEEE 17th International Conference on Computer Research and Development (ICCRD). IEEE, 2025. https://doi.org/10.1109/iccrd64588.2025.10963249.

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Sudirman, Ivan Diryana, Osa Omar Sharif, Intan Rahmatillah, and Citra Kusuma Dewi. "Customer Purchase Prediction Using Optimized Decision Tree with Particle Swarm Optimization." In 2024 International Conference on Data Science and Its Applications (ICoDSA). IEEE, 2024. http://dx.doi.org/10.1109/icodsa62899.2024.10651825.

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Rajarajachozhan, C., G. Karthika, A. Rajakrishnammal, M. Mano, P. Nithish Kumar, and E. Jayahari. "Predicting Customer Purchase Intent Using Logistic Regression: A Data-Driven Approach." In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS). IEEE, 2025. https://doi.org/10.1109/icmlas64557.2025.10968100.

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Nahdiah, Siti, Rossa Putri Yulianda Kang, and Arleen Ariestyani. "The Impact of Digital Reviews Toward Purchase Intention: Influencer Versus Customer." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875767.

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Tokuç, A. Aylin, and Tamer Dağ. "Customer Purchase Intent Prediction using Feature Aggregation on E-Commerce Clickstream Data." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10711144.

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Chilakapati, Phani, Sivakumar Ramakrishnan, Ridhi Deora, and Anant Agarwal. "Customer Analytics: Using Machine Learning to Predict the Customer Life Time Value (CLTV) Based on Purchase History and Ratings." In 2025 3rd International Conference on Disruptive Technologies (ICDT). IEEE, 2025. https://doi.org/10.1109/icdt63985.2025.10986296.

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Luo, Ling, Bin Li, Irena Koprinska, Shlomo Berkovsky, and Fang Chen. "Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/336.

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Customer behavior modeling is important for businesses in order to understand, attract and retain customers. It is critical that the models are able to track the dynamics of customer behavior over time. We propose FC-CSM, a Customer Segmentation Model based on a Fragmentation-Coagulation process, which can track the evolution of customer segmentation, including the splitting and merging of customer groups. We conduct a case study using transaction data from a major Australian supermarket chain, where we: 1) show that our model achieves high fitness of purchase rate, outperforming models using mixture of Poisson processes; 2) compare the impact of promotions on customers for different products; and 3) track how customer groups evolve over time and how individual customers shift across groups. Our model provides valuable information to stakeholders about the different types of customers, how they change purchase behavior, and which customers are more receptive to promotion campaigns.
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Nasib, Syaifullah, Aria Mulyapradana, Zakia Fadila, and Wasiman. "Do Purchase or Do no Purchase? Customer Purchasing Decisions." In 2nd Annual Conference on blended learning, educational technology and Innovation (ACBLETI 2020). Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210615.075.

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Reports on the topic "Customer purchase"

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Bentahar, Amine, and Sanjukta Pookulangara. Hey Google: Voice Search and Customer�s Path to Purchase. Iowa State University. Library, 2019. http://dx.doi.org/10.31274/itaa.8424.

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Malarkey, Daniel, Rubina Singh, and Don MacKenzie. Customer Experience at Public Charging Stations and Its Effects on the Purchase and Use of Electric Vehicles. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2293486.

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Islam, Fariha, and Wahid bin Ahsan. Strengthening Consumer Trust in Bangladesh’s E-Commerce: Factors and Strategies. Userhub, 2024. http://dx.doi.org/10.58947/journal.kpry56.

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This study examines the key factors shaping consumer trust in Bangladesh’s e-commerce sector using a mixed-methods approach, incorporating qualitative interviews with 14 key stakeholders and quantitative survey data from 100 online shoppers. The findings identify crucial drivers of trust, including product authenticity, payment security, post-purchase support, and logistical reliability. Trust is eroded by issues such as fake reviews, misleading product descriptions, and poor customer service, while secure payment options and transparent return policies are essential for rebuilding consumer confidence. Gaps in digital security and regulatory oversight further hinder trust development. The study offers practical recommendations for improving security measures, customer service, and transparent business practices in e-commerce platforms. It also highlights the unique challenges and opportunities for fostering trust in developing markets, particularly within Bangladesh’s growing digital economy.
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Wilczynski, Eric. Solar Neighborhood Financing Mechanisms and Business Models. Edited by Maria Wall. IEA SHC Task 63, 2024. http://dx.doi.org/10.18777/ieashc-task63-2024-0002.

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Since solar neighborhoods often span multiple land use spaces, local community members are key stakeholders in these developments. As such, involving the community can help promote and accelerate the investment and dissemination of these developments. In doing so, certain solar neighborhood business models can include individuals who otherwise cannot gain direct benefits from solar projects due to not having the ability to purchase their own solar equipment. Within the framework of IEA SHC Task 63, business models were developed to be flexible in terms of who sponsors the project versus who ultimately owns/hosts the completed development. This allows for models where community members can be involved in some way - either as sponsors of the project or as part of a customer base leasing or subscribing to the project's output.
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Marshak, Ronni. Helping Customers Find and Purchase Your Products/Services. Patricia Seybold Group, 2008. http://dx.doi.org/10.1571/csp07-17-08cc.

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Dumitrescu, Raluca, Alexandra Lüth, Jens Weibezahn, and Sebastian Groh. Prosumer Empowerment through Community Power Purchase Agreements. Copenhagen School of Energy Infrastructure, 2022. http://dx.doi.org/10.22439/csei.pb.013.

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To achieve the United Nation's Sustainable Development Goal 7 “Clean and Affordable Energy”, the most economically viable option for servicing the part of the population that is too remote or for which the national grid extension is too expensive are distributed renewable energy solutions (DREs), that is, standalone solar home systems (SHSs), mini grids, and swarm gridsi. By 2030, more than 290 million people could be connected to mini grids. Following a top-down approach to electricity access, countries of the Global South, with support of international aid and development funding, are accelerating their national grid expansion. As the national grid reaches their customers, the private sector (DRE companies) is put at danger of having to either relocate their assets or abandon them. At the same time, the DRE end-user, reached by the national grid, faces several challenges due to being exposed to a double infrastructure. These challenges can be of technical and financial nature and are caused by the assets becoming abundant or needing additional equipment to be suitable for national grid and DREs. In our new paper we investigate a technically and economically viable solution for the co-existence of the national grid−a centralized infrastructure−with mostly decentralized, renewable energy infrastructure in Global South countries. At the intersection of these two electrification pathways the question arises if the two approaches can be integrated to the benefit of society by maintaining existing assets. We assume the technical link to be a bidirectional inverter and a battery representing the point of common coupling (PCC) between national grid and currently off-grid systems. We then suggest to apply a cost recovery approach to calculate the economic value of a community power purchase agreement (C-PPA) that allows the community to enter into a trade agreement with the national grid to export at a specified rate.
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Dabas, Chitra Srivastava, Sarah McCracken, Karina Romero, and Sarah Chung. Changing Needs of Millennial Customers: Role of social responsibility perception and Instagram engagement in determining purchase intention. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-360.

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Nimesh, Vikas, Bhaskar Natarjan, Arohi Patil, and Anmol Jain. Catalysing the Market Transformation of Electric Three-Wheelers in India. Alliance for an Energy Efficient Economy (AEEE), 2023. http://dx.doi.org/10.62576/pxjm3793.

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Three-wheelers (3Ws) play a significant role in providing the last-mile connectivity. Electrification of three-wheelers has emerged as a necessity to provide a green and clean last-mile ride. The electrification of three-wheelers poses various key challenges. Alliance for an Energy Efficient Economy (AEEE) and International Copper Association India (ICA) collaborated on this study to identify the key barriers to facilitating the adoption of electric three-wheelers (E3Ws) on the market. The proposed whitepaper aims to identify pathways for a market transformation for electric three-wheelers in India. The whitepaper facilitates the increased adoption of E3Ws in India by examining the perspectives of consumers and different stakeholders involved in the E3W ecosystem – fleet operators, financial institutions, dealerships, and service centres. The study was carried out in three cities – Delhi, Lucknow, and Bangalore, with the majority of the survey (70%) conducted in Delhi. The driver survey was broadly divided into three vehicle segments across the three cities: e-rickshaw, e-auto, and internal combustion engine (ICE). Each vehicle type was further divided into goods and passenger transport, and the findings are presented in this report accordingly. The entire report covers various key aspects related to E3Ws, including purchase, charging, performance, aftersales, safety, retrofitting, etc. Chapter 2 provides an overview of the E3W ecosystem, which includes the classification of E3Ws in India, charging and battery swapping infrastructure, and role of E3Ws in last-mile connectivity, with application in different areas. Chapter 3 discusses the findings and key insights from the consumer survey. It examines the key challenges, concerns, and expectations from the consumer perspective. Chapter 4 presents the key insights from the stakeholder consultation and discusses the various challenges, such as manufacturing concerns, financial challenges, the battery swapping ecosystem, and state policies' role in E3W adoption. Chapter 5 provides recommendations to address the barriers to E3W adoption in India. The recommendations presented in the whitepaper focus on topics ranging from consumer perceptions and demand incentives to addressing product issues such as awareness, servicing, safety, and other related topics. The recommendations comprise important aspects of the E3W ecosystem, such as installing more and regularly maintaining charging points, providing investment support to charging and swapping players, and conducting regular EV awareness forums to educate people about the benefits of EVs. Additionally, providing better training to service center technicians, improving the build quality of EVs through customer feedback, and partnering with financial institutions to provide cheaper loans, will be crucial in overcoming the challenges faced by EV drivers. The market transformation for E3Ws in India will require the stakeholders in the electric vehicle (EV) ecosystem to further deliberate and implement strategies in line with the recommendations presented in the whitepaper.
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Goldmark, Lara, and Gabriel Schor. Information Through Vouchers: What Next, After Paraguay? Inter-American Development Bank, 1999. http://dx.doi.org/10.18235/0006797.

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A functional weakness of the training market is the extreme difficulty with which potential purchasers of "training" can gauge the quality of training programs in advance of payment. However, no training provider would allow a customer to delay payment of course fees until the course has been completed. In such a circumstance, upon completion of the course, the trainee has received what he wanted to acquire (knowledge and skills), and therefore has a strong incentive to refuse payment. An effective instrument would promote investment in the training market, and also reduce the information gap and improve quality control. This document analyzes the specific problems and pitfalls encountered by previous supply-oriented programs in Paraguay and describes a new approach to microenterprise training, which uses an information system associated with vouchers. The concluding section highlights the challenges still facing this approach, and touches on expectations for future program interventions.
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Kozumplik, Brian J. Electric Charging Intended Functionality, Availability, and Equity Inclusion. SAE International, 2023. http://dx.doi.org/10.4271/epr2023001.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;As unprecedented growth in EV sales is expected, and the number of public charging stations must be planned accordingly as charger up-time and functionality (i.e., availability) is the number one factor for users once the charging system is installed. &lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Electric Vehicle Intended Functionality, Availability, and Equity Inclusion&lt;/b&gt; informs current customers and potential purchasers of functionality, availability, and equity inclusion issues with EV charging systems currently in production and in use across North America and Europe. Note that if shortages of available chargers are recognized and exposed across the US, this could then have a negative impact on future potential EV customers from making the “leap” from traditional ICE vehicles to EVs. &lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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