Relevant bibliographies by topics / Customer Purchase Power

Contents

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

Academic literature on the topic 'Customer Purchase Power'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Customer Purchase Power"

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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
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Wünderlich, Robin, Nancy V. Wünderlich, and Florian v. Wangenheim. "A Seasonal Model with Dropout to Improve Forecasts of Purchase Levels." Journal of Interactive Marketing 57, no. 2 (2022): 212–36. http://dx.doi.org/10.1177/10949968221087249.

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Predicting future purchase levels is an important and constant challenge for marketing professionals, as purchase patterns often vary over time and across customers. Moreover, purchases often follow individual and cross-sectional seasonal patterns, which affect forecasts of purchase propensity and customer dropout. The authors develop the hierarchical Bayesian seasonal model with dropout (HSMDO), which captures the interrelation between individual and cross-sectional seasonality, purchase, and dropout rates, with the aim of improving forecast accuracy at specific points in time. They perform (
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Alsheikh, Layla. "The impact of surprise guerilla marketing on customer behavior." Innovative Marketing 20, no. 1 (2024): 227–37. http://dx.doi.org/10.21511/im.20(1).2024.19.

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This study aimed to investigate the impact of guerilla marketing (i.e., guerilla ambient marketing and guerilla sensation marketing) on customer behavior (i.e., customer purchase intention and customer brand attitude). The survey was held in May 2023; the questionnaire was distributed to a convenience sample of 450 customers of three malls in Jeddah city in the Kingdom of Saudi Arabia. The analysis was conducted by IBM SPSS and AMOS using 344 retrieved responses. Exploring research factors, confirming goodness-of-fit, and testing the hypothesized effects, the results indicated that both dimens
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Lu, Meili, Zuoliang Ye, and Yufei Yan. "Research on e-commerce customer repeat purchase behavior and purchase stickiness." Nankai Business Review International 9, no. 3 (2018): 331–47. http://dx.doi.org/10.1108/nbri-05-2017-0026.

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Purpose The purpose of this paper is to study the regularity of the e-commerce customer repeat purchase behavior, and provide new ideas and methods for e-commerce vendor’s e-commerce customer management. Design/methodology/approach Through analysis of the priority in activity mechanism and new customers’ dynamic growth in customer’s purchase behavior, this paper builds a model of the customer’s purchase frequency, which can be verified by the empirical data gathered from www.taobao.com, www.jd.com, www.yhd.com and www.amazon.com. Findings This paper discovers the regularity that the customer’s
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Haq, Irfan Nurul. "Determination of Price and Customer Satisfaction." Journal of Economicate Studies 1, no. 2 (2018): 97–108. http://dx.doi.org/10.32506/joes.v1i2.179.

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Price policy or a value can affect the human mindset, considering its activities by using logic including in considering its needs as a customer of a product. a person or customer will choose which product performance is more effective, efficient and suitable to his needs and according to the value of a price or cost, if the performance is effective, efficient and match with expectations, means customers will feel satisfied and will make the calculation of expenditures for the procurement of products the. Price has a positive and significant impact on customer satisfaction. The main considerat
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Feldman, Jacob, Dennis J. Zhang, Xiaofei Liu, and Nannan Zhang. "Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba." Operations Research 70, no. 1 (2022): 309–28. http://dx.doi.org/10.1287/opre.2021.2158.

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We compare the performance of two approaches for finding the optimal set of products to display to customers landing on Alibaba's two online marketplaces, Tmall and Taobao. Both approaches were placed online simultaneously and tested on real customers for one week. The first approach we test is Alibaba's current practice. This procedure embeds thousands of product and customer features within a sophisticated machine-learning algorithm that is used to estimate the purchase probabilities of each product for the customer at hand. Our second approach uses a featurized multinomial logit (MNL) model
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Sowier-Kasprzyk, Izabella. "IMPACT OF SENSORY MARKETING ON CUSTOMER LOYALTY AND PURCHASE DECISIONS." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 23, no. 3 (2022): 73–85. http://dx.doi.org/10.5604/01.3001.0016.0318.

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The article presents the use of sensory marketing in company management. Sensory marketing is an increasingly common form of modern organization management. Human senses play the most important role in sensory marketing. Many companies from various industries perceive the power of human senses. The goal of sensory marketing is to communicate with customers on an emotional level. Additionally, it should be added that this is a non-intrusive form of communication. Clients perceive the emotional message without the persuasion typical of traditional approaches. Today, companies care more about kee
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Paul, Arunkumar J., K. Subathra Dr., S. Senthilkumar Dr., R. Prabhavathy, and Thomas Jinu Rohan. "Leveraging the power of social proof on online consumer behaviour." Journal of Scientific Research and Technology (JSRT) 1, no. 5 (2023): 31–39. https://doi.org/10.5281/zenodo.8239463.

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The degree to which social media influences our everyday lives is significantly associated with the extent to which it affects the way we go about our shopping. In particular, a potent driving force behind social commerce is the concept of "social proof," which refers to the notion that we are more inclined to purchase if we can see that other people have previously done so. Over the past few years, the popularity and frequency of the usage of social proof strategies to entice online shoppers have expanded significantly. Peer recommendations, customer ratings and reviews, celebrity e
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Mandagie, Wenny Candra, and Robert Kristaung. "The power of AI personalization: Mediated moderation in social & e-commerce." Jurnal Manajemen dan Pemasaran Jasa 18, no. 1 (2025): 35–58. https://doi.org/10.25105/v18i1.21587.

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This study investigates the impact of AI-driven personalization on key customer outcomes within Indonesia's e-commerce landscape. It examines how personalization influences customer engagement, trust, perceived relevance, customer experience, and purchase frequency. While prior studies have extensively explored AI personalization, limited research has examined its mediated moderation effects on customer behavior in emerging e-commerce markets, particularly in Indonesia. This study addresses the gap by analyzing the moderating effect of education level and the mediating role of perceived releva
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Godswill Chinedu Chukwu and Miyene Charles Tom. "Consumer environmental consciousness and brand preference in rivers state." Middle European Scientific Bulletin 1, no. 7 (2020): 1–15. http://dx.doi.org/10.47494/mesb.2020.1.130.

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This study investigated consumer environmental consciousness and brand preference in Rivers State. The study sought to establish the extent to which brand sound influence repeat purchase of power generating plants, the extent to which brand heat generation influence customer referral of power generating plants and the extent which green protection determine customer loyalty of power generating plants in Rivers State.The study adopted descriptive research design. A population of 52 loyal customers of 5 different brands of power generating plants was randomly selected while 47 questionnaires wer
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Dissertations / Theses on the topic "Customer Purchase Power"

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Chiang, Dora, and 江曉雯. "Measuring Brand Equity and the Customer Purchases Behavior: Case Study by Nutritional Milk Powder for Baby." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/41153663177474448725.

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碩士<br>明新科技大學<br>企業管理研究所<br>94<br>Due to the top ten international brands of 2005 in Taiwan is majoring in technology which revealed that brand is becoming more important to the companies. Sustainable competitive advantage and brand establishment thus become an important topic for all enterprises. In this research, by utilizing MDS (multi-dimension scale) analysis, brand equity and the customer purchases behavior were measured: case study by nutritional milk powder for baby. Research result finds that the accuracy of 92.6% customer’s purchases brand is ideal brand which certificate MDS can be e
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TSENG, CHE-HUANG, and 曾瓋篁. "The Mediating Effects of Consumers Trust to Customers Website Experience and Purchase Intention - A Case Study of CATCH POWER Co." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/a35pe9.

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碩士<br>中國文化大學<br>國際貿易學系<br>105<br>With the internet growth to mature, more and more dealer decided to expand the business on the internet. Due to the increasing requirement of online shopping, dealer comes up with a new shopping mode named CATCH POWER. Since the consumers have changed their habits on shopping, Website Experience networks gradually replaced the traditional marketing skills. CATCH POWER not only changed the way on delivery, but also provides a designated store pick up. Consumers can buy things both on APP and the special vending machines. The research suggested that if the c
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Books on the topic "Customer Purchase Power"

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Customer purchase criteria for small-scale cogeneration: A historical perspective. Electric Power Research Institute, 1991.

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Book chapters on the topic "Customer Purchase Power"

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Xu, Jianghong, Cherry Jiang, Yezun Qu, Wenting Zhong, and Zhiwang Gan. "Analysis and FP-Growth Algorithm Design on Discount Data of Department Store Members." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_80.

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AbstractThis paper mainly studies the discount data of department store members. The researsh shows that the total supply of discounted goods and the number of reward points issued have the most significant relationship with customer activation rate, the increase of discount rate and coverage scale would increase the activation rate of inactive members and invalid members. The increase of the score rate may have a stronger incentive effect on active members, but it has no obvious incentive effect on inactive and ineffective members. In addition, by integrating the commodity records of each pur
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Pathak, Manasvi, Nilesh Tejrao Kate, and Soham Hajra. "Neuro-Marketing as a Subset of Sensory Marketing From Lasting Imprint Becoming Memory and Impulsive Buying." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-9351-2.ch013.

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In the ever-changing marketing landscape, gaining customer attention and influencing purchase decisions necessitates inventive techniques. Traditionally, marketing has aimed to captivate customers by visual and logical arguments. However, a growing tendency acknowledges the significant importance of our senses on decision-making Sensory marketing, a tactic that goes beyond standard visual and logical appeals, has emerged as a potent tool for organisations looking to build stronger connections with their customers. Sensory marketing creates multidimensional brand experiences by purposefully eng
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Baykal, Bilge. "Brands on Play: Harnessing the Power of Gamification for Success." In Dijital Pazarlamada Öne Çıkan Başlıklar ve Uygulamalı Çalışmalar. Özgür Yayınları, 2023. http://dx.doi.org/10.58830/ozgur.pub311.c1365.

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In recent years, gamification has emerged as a compelling strategy within the realm of marketing, captivating the attention of researchers and practitioners alike. This abstract highlights the key findings and insights from existing literature, shedding light on the multifaceted benefits of integrating gaming mechanisms into marketing endeavors.&#x0D; The research landscape in gamification predominantly accentuates its pivotal role in branding strategies. Numerous studies have unequivocally showcased the positive relationship between gamification and various brand-related outcomes. Notably, ga
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Gupta, Chabi. "Why Haven't You Bought a Solar Panel?" In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0019-0.ch020.

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This research study examined the relationships between Myers-Briggs' four personality dimensions and environmentally conscious consumption patterns. The study found that different personality types have different green purchase habits. The authors also propose five strategies for businesses who plan to venture into sustainable consumption. These strategies include leveraging the power of belongingness, forming addictive healthy habits, capitalizing on the domino effect, communicating with either the heart or the head, and prioritizing having experiences above owning things. The study's finding
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Durugkar, Santosh Ramkrishna. "Analyzing Big Data Using Recent Machine Learning Techniques to Assist Consumers in Online Purchase Decision." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8753-2.ch003.

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Sentiments can be expressed in a variety of ways like angry, happy, sad, surprised, etc. Recent machine learning (ML) algorithms classify sentiments and assist customers in their purchase decision. Many organizations are predicting the possible correlation between growth of the business and customer satisfaction. On different social media platforms, customers give ‘ratings' to a specific product or service. ML helps in knowing the reasons and assists the businesses to improvise in the weaker sections. Natural language processing integrates data and applies “tokenization” to extract the tokens
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Dodda, Abhishek. "A deep dive into credit card networks, fraud detection, and artificial intelligence - driven risk assessment." In Artificial Intelligence and Financial Transformation: Unlocking the Power of Fintech, Predictive Analytics, and Public Governance in the Next Era of Economic Intelligence. Deep Science Publishing, 2025. https://doi.org/10.70593/978-81-988918-1-5_8.

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Credit cards are often regarded as the most convenient and universal payment method. Therefore, it is not surprising that the credit card network industry is a multi-trillion-dollar market, responsible for more than 25% of the GDP of many developed countries. Today, the main players in the credit card network industry are Visa, Mastercard, and AMEX. These companies provide payment processing solutions, by putting in place a system that connects consumers, merchants, banks that support consumers, banks that support merchants, and companies that secure the credit card network (Chen &amp; Zhang,
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Kumar, Ankur, Abhinav Sharma, Priya Bhatnagar, Sanjay Dhanka, and Yograj Bist. "Harnessing the Power of Data Analytics to Drive Brand Engagement, Affinity, Evangelism, and Loyalty in the Modern Marketplace." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1867-7.ch004.

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In today's marketplace, data analytics is key to enhancing brand engagement, affinity, and evangelism. By analyzing diverse data sources like social media and purchase history, brands gain deep consumer insights to craft personalized marketing strategies. Real-time analytics enable agile campaign adjustments, optimizing impact. Predictive analytics help anticipate trends, fostering brand relevance and loyalty. This data-driven approach builds strong customer relationships and nurtures brand advocates.
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Mei, Xiang Ying, Ingrid K. Bagaas, and Erling K. L. Relling. "Storytelling as an Approach to Voice Complaints and eWOM on Social Media/Facebook." In Exploring the Power of Electronic Word-of-Mouth in the Services Industry. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8575-6.ch004.

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Customer complaints are unavoidable in any businesses and how firms handle such complaints will affect the public's perception of the company's brand and reputation. While storytelling is being embraced by an increasing number of companies as a different way to communicate their brand, many customers are now also using storytelling as an approach to voice their unfavourable experiences on the social media in regards to a particular unsatisfactory purchase as part of electronic word-of-mouth (eWOM). Such creative and humorous complaints serve as a way to cut through the clutter in order to gain
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Kumari, Dr Suman, and Dr Rahul Joshi. "FASHION APPAREL AND THE EFFECT OF SOCIAL NETWORKING ON GENERATION Y." In Futuristic Trends in Social Sciences Volume 3 Book 19. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bjso19p1ch8.

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As a result of the advent of the internet in the globalized world, a new social network has emerged. Generation Y's curiosity in knowledge has changed from conventional approaches to social media as technology has evolved. Gen Y is the world's largest community, with high buying power, allowing many companies to target them. Researchers have discovered that this generation behaves differently from previous generations, despite the fact that this was one of the world's largest customer groups. The role of the media in transforming them into one of the largest user groups has also affected the a
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Thomas, Jane B., and Cara O. Peters. "Instagramma in Fashion." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8753-2.ch009.

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Although traditionally ignored by the fashion industry, senior females have purchasing power, report being interested in fashion, and are a growing portion of social media users. The literature to date has not yet unpacked the social media usage of everyday, senior females in the fashion context. Data were collected via a series of 38 interviews with women aged 50 and older. Findings showed that the majority of the senior females interviewed were following influencers online and these activities were impacting their purchase behaviors. Furthermore, the senior females in the sample had develope
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Conference papers on the topic "Customer Purchase Power"

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Bunardi, Steven William, Iston Dwija Utama, Angel Tandajaya, and Tristan Ethan Phieter. "Fashioning Decisions: the Power of Social Media Engagement in Influencing Customer Purchase Decisions." In 2024 International Conference on Information Management and Technology (ICIMTech). IEEE, 2024. https://doi.org/10.1109/icimtech63123.2024.10780848.

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Huang, Hengzi, Zhao Wen, An Wen, Jie He, Ruiyang Lv, and Xing Jia. "Monthly load forecasting for China’s delegate power purchase mechanism considering customer churn." In International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), edited by Aniruddha Bhattacharjya and Xin Feng. SPIE, 2023. http://dx.doi.org/10.1117/12.2681605.

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Besharati, B., S. Azarm, and A. Farhang-Mehr. "A Customer-Based Expected Utility Metric for Product Design Selection." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34081.

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The ability to select a design alternative, from a set of feasible alternatives, that is likely to meet customers’ and designer’s preferences and also account for uncertainties is vital to the success of a product design process. This paper presents a new metric, a Customer-based Expected Utility (CEU) metric, for product design selection that accounts for a range of attribute levels (i.e., the customer range) within which customers make purchase decisions. The metric also accounts for designer’s preferences and uncertainty in achieving a desired attribute level (or a combination of attribute
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Vasileva, Steliana. "Cutting through the noise: understanding the usage of the customer journey mapping." In The 28th International Scientific Conference "Competitiveness and Innovation in the Knowledge Economy". Academy of Economic Studies of Moldova, 2025. https://doi.org/10.53486/cike2024.04.

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In the last few decades, due to the booming of the Internet and the flourishing of new technologies connected to it, there has been a major change on how people interact with businesses. With the development of smart devices, companies started to unwrap the power of customer behaviour. A new kind of marketing, based on customer knowledge, emerged. However, firms are still grappling with how to understand their consumers and it is still ongoing to change how companies and customers interact. Contrary to traditional media, the Internet allows for amassing data, associated with millions of users,
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Liu, Youbo, Junyong Liu, Lifeng Tian, and Kang Zhu. "Pareto Improvement of Large Customer Direct Power-Purchase by Use of Multi-Objective Optimization." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918586.

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He, Lin, Christopher Hoyle, and Wei Chen. "A Mixed Logit Choice Modeling Approach Using Customer Satisfaction Surveys to Support Engineering Design." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87052.

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Choice modeling is critical for assessing customer preferences as a function of product design attributes and customer profile information. Previous works have focused upon the use of survey data in which respondents are presented with a set of simulated product options from which they make a choice. However, such data does not represent real purchase behavior and these surveys require significant time and additional cost to administer. For these reasons, an approach to estimate a choice model using widely available customer satisfaction survey data for actual purchases is developed. Through a
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Chen, Xin, Alex Reibman, and Sanjay Arora. "Sequential Recommendation Model for Next Purchase Prediction." In 5th International Conference on Machine Learning & Applications. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131013.

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Timeliness and contextual accuracy of recommendations are increasingly important when delivering contemporary digital marketing experiences. Conventional recommender systems (RS) suggest relevant but time-invariant items to users by accounting for their past purchases. These recommendations only map to customers’ general preferences rather than a customer’s specific needs immediately preceding a purchase. In contrast, RSs that consider the order of transactions, purchases, or experiences to measure evolving preferences can offer more salient and effective recommendations to customers: Sequenti
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Wang, Mingxian, and Wei Chen. "Predicting Consumer Choice Set Using Product Association Network and Data Analytics." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12425.

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Although discrete choice analysis has been shown to be useful for modeling consumer preferences and choice behaviors in the field of engineering design, information of choice set composition is often not available in majority of the collected consumer purchase data. When a large set of choice alternatives exist for a product, such as automotive vehicles, randomly choosing a small set of product alternatives to form a choice set for each individual consumer will result in misleading choice modeling results. In this work, we propose a data-analytics approach to mine existing data of choice sets
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Lee, Hoon, Pradeepkumar Ashok, and Delbert Tesar. "Visual Performance Maps for Human Choice in Hybrid Electric Vehicle’s In-Wheel Motors: Part II — Operation, Maintenance, and Refreshment Criteria." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47566.

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Part I of this paper demonstrated how different human choices affect the selection of all basic components of a Hybrid Electric Vehicles (HEV) equipped with four-independent In-Wheel Motors (IWM) based on detailed human needs structured by visual performance maps to guide the customer in terms of purchase criteria: cost, weight, power, acceleration, gradeability, braking, handling, ride comfort, efficiency, and durability. This Part II discusses ten operation criteria: cornering force margin, roll angle, sideslip angle, lateral acceleration, slip angle, yaw rate, acceleration force margin, bra
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Schwarz, Peter, Navid Goudarzi, and Ercument Camadan. "Adjusting the Levelized Cost of Energy for Different Rates of Compensation for Solar Generation: A Case Study." In ASME 2020 Power Conference collocated with the 2020 International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/power2020-16938.

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Abstract The levelized cost of energy (LCOE) was developed for conventional, non-renewable energy sources, and can be misleading for renewable sources. The intermittent nature of renewable energy resources requires further refining the LCOE definition to prevent overvaluing renewables. Utilities must consider revenues as well as costs in comparing renewables to each other, as well as to conventional, non-renewable fuels. This paper explores the utility net revenues from solar energy — revenues from customer grid purchases net of payments made for solar generation by the customer exported to th
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Reports on the topic "Customer Purchase Power"

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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 accele
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