Relevant bibliographies by topics / Customer usage behaviour

Contents

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

Academic literature on the topic 'Customer usage behaviour'

Author: Grafiati
Published: 7 June 2025
Last updated: 17 July 2025

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Journal articles on the topic "Customer usage behaviour"

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Chen, Qianling, Min Zhang, and Xiande Zhao. "Analysing customer behaviour in mobile app usage." Industrial Management & Data Systems 117, no. 2 (2017): 425–38. http://dx.doi.org/10.1108/imds-04-2016-0141.

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Purpose Big data produced by mobile apps contains valuable knowledge about customers and markets and have been viewed as productive resources. The purpose of this paper is to propose a multiple methods approach to elicit intelligence and value from big data by analysing the customer behaviour in mobile app usage. Design/methodology/approach The big data analytical approach is developed using three data mining techniques: RFM(recency, frequency, monetary) analysis, link analysis, and association rule learning. The authors then conduct a case study to apply this approach to analyse the transacti
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Sharma, Sonia, and Munishwar Rai. "Customer Behaviour Analysis using Web Usage Mining." International Journal of Scientific Research in Computer Science and Engineering 5, no. 6 (2017): 47–50. http://dx.doi.org/10.26438/ijsrcse/v5i6.4750.

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John, Mamman Ojima, Onoja Emmanuel Oche, Audu Elizabeth, and Usman Ramalan Baba. "Analysis of customer behaviour using web usage mining." International Journal of Engineering in Computer Science 3, no. 1 (2021): 08–11. http://dx.doi.org/10.33545/26633582.2021.v3.i1a.40.

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Kinogo, Ismail, Dev Jani, and John R. P. Mwakyusa. "Customer delight and switching behaviour in Tanzanian online banking: the mediating role of switching intentions." African Business Management Journal 2, no. 2 (2024): 43–55. http://dx.doi.org/10.58548/2024abmj22.4355.

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This study aimed to investigate the contribution of customer delight to customer switching behaviour and the mediating role of switching intentions in this relationship within the context of online banking services. An explanatory research design was employed, utilising survey data from 391 qualified online banking customers in Tanzania. Self-administered questionnaires were used, with respondents selected through a convenience sampling method. Data were analysed using partial least squares structural equation modelling in Smart-PLS version 4.0, with a 95% bias-corrected confidence interval bo
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Ghnemat, Rawan, and Edward Jaser. "Toward Mobile Telecommunication Recommendation System through Intelligent Customers Categorization." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 7 (2014): 3651–58. http://dx.doi.org/10.24297/ijct.v12i7.3099.

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Now a day, usage of mobile devices is becoming indispensable. This is evident with current mobile penetration rates reaching 100% and even more in some countries. Customers across the world are enjoying competitive prices due to high competition among telecommunication companies. As a result of this, it is mandatory for mobile companies to provide high quality services to their customers to retain them. One aspect which will maximize customers’ trust and lead to high retention rate is to offer them a suitable plan that matches their usage. Mobile customer usage categorization is therefore a
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Turkmen, Ahmet, Cenk Anil Bahcevan, Youssef Alkhanafseh, and Esra Karabiyik. "User behaviour analysis and churn prediction in ISP." New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 12 (April 30, 2020): 57–67. http://dx.doi.org/10.18844/gjpaas.v0i12.4987.

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There is no doubt that customer retention is vital for the service sector as companies’ revenue is significantly based on their customers’ financial returns. The prediction of customers who are at the risk of leaving a company’s services is not possible without using their connection details, support tickets and network traffic usage data. This paper demonstrates the importance of data mining and its outcome in the telecommunication area. The data in this paper are collected from different sources like Net Flow logs, call records and DNS query logs. These different types of data are aggregated
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Bhattarai, Bal Ram, Santosh Kumar Gurung, and Manisha Maraseni. "Determinants of Customer Satisfaction with ATM Services: Evidence from Customers of Commercial Banks in Pokhara, Nepal." Journal of Business and Management 8, no. 2 (2024): 1–14. https://doi.org/10.3126/jbm.v8i2.76123.

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Background: The banking industry has witnessed the rise of various service delivery channels, including automated tellermachines (ATMs). As global financial systems evolve and competition intensifies, there has been an increasing focus on examining customer satisfaction. Objectives: This study examined the determinants of customer satisfaction with ATM services among customersof commercial banks in Pokhara, Nepal. Methods: This study adopted a descriptive cross-sectional design to investigate the determinants of customer satisfaction with ATM services among commercial bank customers in Pokhara
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Quach, Thu Nguyen, Charles Jebarajakirthy, and Park Thaichon. "The effects of service quality on internet service provider customers’ behaviour." Asia Pacific Journal of Marketing and Logistics 28, no. 3 (2016): 435–63. http://dx.doi.org/10.1108/apjml-03-2015-0039.

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Purpose – The purpose of this paper is threefold: first, to identify the dimensions for evaluating the service quality of internet service providers (ISPs); second, to investigate the relationship between service quality and customers’ behavioural intentions; and third, to investigate the influence of ISP customers’ usage patterns on their perceptions of ISP’s service quality dimensions. Design/methodology/approach – The study employs a sequential exploratory mixed method design incorporating quantitative and qualitative elements. Data in Study 1 was obtained from 2,059 internet users using an
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Matini, Abed, Stanley Lekata, and Boniface Kabaso. "The Effects of Stress and Chatbot Services Usage on Customer Intention for Purchase on E-commerce Sites." International Journal on Data Science and Technology 10, no. 1 (2024): 1–10. http://dx.doi.org/10.11648/j.ijdst.20241001.11.

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In the rapidly evolving digital marketplace, customer service has become a critical factor influencing consumer behaviour. With the advent of Artificial Intelligence (AI), particularly chatbots, customer service companies are increasingly leveraging technology to enhance user experience. This study explores the relationship between customer emotions, detected during interactions with e-commerce chatbots, and their subsequent purchase intentions. Emotion detection within Human-Computer Interaction (HCI) is a vital area of research, as specific emotions, such as joy or frustration, can significa
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Azemi, Yllka, Wilson Ozuem, and Geoff Lancaster. "Service failure and recovery strategies in the Balkans: an exploratory study." Qualitative Market Research: An International Journal 22, no. 3 (2019): 472–96. http://dx.doi.org/10.1108/qmr-11-2017-0153.

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Purpose Despite scholarly effort to understand customers’ recovery evaluation, little progress is evident in deciphering how customers develop online failure/recovery perception. This paper aims to address this issue. Design/methodology/approach Social constructivism was the epistemic choice for this study. This approach is holistic and offers a comprehensive understanding of each side of the phenomena. This provided social scientific descriptions of people and their cultural bases and built on, and articulated what was implicit in interpretations of their views. Findings Online banking custom
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Dissertations / Theses on the topic "Customer usage behaviour"

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Holmkvist, Frida, Caroline Karlsson, and Miranna Kuossari. "What factors influence an individual to adopt the usage of mobile banking? : A study regarding customer behaviour in mobile banking." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-32334.

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Omoge, Akinyemi Paul. "The direct and mediated effects of customer relationship management (CRM) systems usage as service delivery channels on consumer buying behaviour : an empirical appraisal of the context of the Nigerian banking industry." Thesis, Robert Gordon University, 2016. http://hdl.handle.net/10059/2139.

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Ample evidence from the literature suggests that in recent years, banks have been heavily investing in customer relationship management (CRM) systems. The reasons for this are traced to banks' emergent need to gain and sustain competitive advantage through greater knowledge of their customers. In turn, this increased knowledge is likely to also lead to increased: a) customer base, b) customer satisfaction, c) customer retention and, d) customer loyalty. The literature suggests that there is a knowledge gap, which relates to the reasons for CRM systems in adoption and usage as service delivery
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Alghamdi, Ahmed Dirwish G. "An integrated model of the influence of personal psychological traits and cognitive beliefs on customer satisfaction and continuance intentions in relation to Internet banking usage within the Saudi Arabian context." Thesis, University of Plymouth, 2014. http://hdl.handle.net/10026.1/3096.

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This thesis examines the effects of Culture, the Unified Theory of Acceptance and Use of Technology (UTAUT), Expectation Confirmation Theory (ECT) and Technology Readiness (TR) on the satisfaction and usage continuance intention of Internet banking customers within the Saudi Arabian context. The aim is to develop and test a new framework for use in determining the factors that affect Internet banking customers’ actual usage behaviours, with a special focus on the role of cognitive processes, and cultural and personal psychological traits. This research uses cross-sectional survey questionnaire
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Hu, Hsin-Hui. "Personality types and consumer preferences for multiple currency usages a study of the restaurant industry /." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1123254977.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xii, 178 p.; also includes graphics (some col.). Includes bibliographical references (p. 115-128). Available online via OhioLINK's ETD Center
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Vander, Sanden Amy L. "Computer usage and campus involvement behaviors among Ball State University freshmen matriculates." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1215369.

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The purpose of this study was to examine the computer habits and involvement of residential freshmen matriculates at Ball State University to determine if there was a difference in campus involvement levels between students who excessively used the computer for personal or recreational activities and students who did not.The project consisted of 149 non-excessive users (five or less hours per week) and 323 excessive users (more then five hours per week) of the computer for the personal or recreational purposes. Freshmen matriculates were involved in a wide range of opportunities. The higher le
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LIU, SHIH-PIN, and 劉世彬. "Analyzing Mobile App Service Design from Customer Usage Behaviors." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/59111389537414841228.

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碩士<br>中原大學<br>企業管理研究所<br>104<br>Abstract The rapid development of smart portable devices has resulted in everybody to own smartphone/s and changed the user lifestyle and habits. Now smartphones have already become the portable necessities in our daily life. For users of these smart devices, what are their opinions on the plentiful of currently available service-based Apps? Amid the competitive market environment, the provision of a better mobile service experience process to users is an important goal in the design concept of mobile services. This has prompted many companies to gradua
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Fang, Han-Lin, and 方漢霖. "A Study on Customers’ Actual Usage Behavior of Mobile Banking Service." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/19620275170320579472.

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碩士<br>大同大學<br>資訊經營學系(所)<br>103<br>The maturity of mobile communication technology has contributed to assimilating mobile devices as a necessity into people’s daily lives. Moreover, the rapid development of wireless technologies has made the use of the Internet in any environments possible, enabling wireless communication technologies to be combined with the Internet to provide mobile network services. Domestic and foreign industry operators have therefore vied to enter the data communications market in an effort to introduce mobile commerce products. 　　 　　In the financial industry, business op
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KE, JHIH-HUEI, and 柯志輝. "A Study on Customers’ Usage Behavior of Third-Party Payment Based on Technology Acceptance Mode." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/05329661636579683899.

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碩士<br>世新大學<br>資訊管理學研究所(含碩專班)<br>104<br>Recently, the rapid development of communication and internet technology has bursted the upsurge of the online-shopping; moreover, it makes more choices for the mode of payment as well. With this boom come the Third-party Payment, and the Third-party Payment trigger a positive change that effect the way of payment on the netword. Given that the Third-party Payment is developing, this study bases on the Technology Acceptance Model to investigate the behavior of consumers in the Third-party Payment system. This study aims at finding methods to increasing th
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Leung, Tak Ling. "The impacts of system quality and information quality on mobile users’ behavioral intentions to use trade show application systems in Hong Kong: the mediating effects of perceived ease of use and perceived usefulness." Thesis, 2017. http://hdl.handle.net/1959.13/1351699.

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Professional Doctorate - Doctor of Business Administration (DBA)<br>This research explores the role of system quality and information quality in building the usage of tradeshow application systems through perceived ease of use and perceived usefulness and their effects on influencing customer behavior in the Hong Kong’s exhibition industry. The result revealed that system quality, information quality, perceived ease of use and perceived usefulness were significantly associated with the behavioral intention to use tradeshow application systems. Furthermore, perceived ease of use and perceived u
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Books on the topic "Customer usage behaviour"

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Noble, Judith. The Hispanic way: Aspects of behavior, attitudes, and customs in the Spanish-speaking world. Passport Books, 1995.

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Sang-in, Chŏn, ред. Hanʼguk hyŏndaesa: Chinsil kwa haesŏk. Nanam Chʻulpʻan, 2005.

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Lacasa, Jaime, and Judith Noble. The Hispanic Way: Aspects of Behavior, Attitudes and Customs in the Spanish-Speaking World. Passport Books, 1990.

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Sumner, William Graham. Folkways: A Study Of The Sociological Importance Of Usages, Manners, Customs, Mores And Morals. Kessinger Publishing, LLC, 2007.

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Sumner, William Graham. Folkways: A Study Of The Sociological Importance Of Usages, Manners, Customs, Mores And Morals. Kessinger Publishing, LLC, 2007.

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Clodfelter, Richard. Retail Buying. 7th ed. Bloomsbury Publishing Inc, 2023. http://dx.doi.org/10.5040/9781501375651.

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Retail Buying, Seventh Edition integrates math concepts throughout the text to guide students through typical buying tasks, from identifying potential customers, to creating a six-month merchandising plan, to developing sales forecasts. Updated with examples and trends from across the world, this book will keep readers informed on how the retailing industry is adapting to changes like an increased focus on sustainability, the growth of digital retailing, and impacts from the coronavirus pandemic. Practice problems and updated information tables further help students to analyze and interpret da
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Book chapters on the topic "Customer usage behaviour"

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Parapanos, Demos, and Elina Michopoulou. "How to Design Hotel Gamified Applications Effectively: Understanding the Motives of Users as Hotel Visitors." In Information and Communication Technologies in Tourism 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94751-4_43.

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AbstractThe service sector including tourism and hospitality have recognized the need for a turn to a customer-centric approach that primarily values tourists’ needs, wants, preferences and requirements as major determinants in travel decisions. Considering that mobile devices are becoming travel buddies and that their use is profoundly influencing traveller’s journey highlights the need of Gamification. As a relatively new phenomenon in the industry, motives encouraging usage behaviour have yet to be researched. Identifying these motives could offer several advantages to hotels by providing relationship marketing, engagement and strengthening customer loyalty. This research tries to fill this gap and enlighten existing gamification research by understanding the motives of users’ continuance intention in adopting technology with gamification characteristics. Visual material based on the current definitions of gamification was prepared to create a hotel gamified application to help participants discuss their preferences.
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Chung, Christina, and Alexander Muk. "Online Shoppers’ Social Media Usage and Shopping Behavior." In The Customer is NOT Always Right? Marketing Orientationsin a Dynamic Business World. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50008-9_35.

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Matošević, Goran, and Vanja Bevanda. "Mining Customer Behavior in Trial Period of a Web Application Usage—Case Study." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33625-1_30.

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Nassif, Shahed, and Abderrahmane Azzi. "Insta-Shopping: A Qualitative Study on Consumer Experiences and Purchasing Behavior on Instagram." In Sustainability, AI and Innovation: Proceedings of the Applied Research in Humanities & Social Sciences (ARHSS 2023). Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2532-1_4.

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Abstract This study aims to investigate the purchasing behavior of Instagram users in the UAE and understand the factors influencing their purchase decisions. Data was collected from 10 respondents through personal interviews, focusing on their demographics, frequency of Instagram usage, purchasing behavior, and the role of social media influencers. The findings revealed that the majority of respondents were female Emiratis in their early twenties who use Instagram daily for both personal and business purposes. They reported making purchases through Instagram, with social media influencers significantly impacting their decisions. However, concerns about the authenticity of products were noted. This study provides valuable insights into the behavior of Instagram users in the UAE and underscores the importance of social media influencers in shaping purchase decisions. The findings suggest that businesses in the UAE should leverage Instagram as a marketing tool and ensure the authenticity and reliability of their products to avoid negative customer experiences. Future studies can explore the purchasing behavior of Instagram users in other countries and investigate the impact of various marketing strategies on their purchasing decisions.
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Ortinau, David j. "White/Blue Collar Class Status and Customers’ Preference and Usage Behavior Toward Banking Methods: An Attitude Orientation." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16976-7_12.

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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_8-1.

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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production efficiency enhancement is given. The stages are analyzed and communal challenges are elaborated. The used approaches include both physically motivated surrogate modeling as well as the advanced use of machine learning technologies. Apt research is depicted for each stage based on demonstrator work for diverse production technologies, among them high-pressure die casting, surface engineering, plastics injection molding, open-die forging, and automated tape placement. Finally, a holistic and general framework is illustrated covering the main concepts regarding the transfer of mature models into production environments on the example of laser technologies.Increasing customer requirements regarding process stability, transparency and product quality as well as desired high production efficiency in diverse manufacturing processes pose high demands on production technologies. The further development of digital support systems for manufacturing technologies can contribute to meet these demands in various production settings. Especially for discontinuous production, such as injection molding and laser cutting, the joint research for different technologies helps to identify common challenges, ranging from problem identification to knowledge perpetuation after successfully installing digital tools. Workstream CRD-B2.II “Discontinuous Production” confronts this research task by use case-based joint development of transferable methods. Based on the joint definition of a standard pipeline to solve problems with digital support, various stages of this pipeline, such as data generation and collection, model training, optimization, and the development and deployment of assistance systems are actively being researched. Regarding data generation, e.g., for the high-pressure die-casting process, data acquisition and extraction approaches for machines and production lines using OPC UA are investigated to get detailed process insights. For diverse discontinuous processes and use cases, relevant production data is not directly available in sufficient quality and needs to be preprocessed. For vision systems, ptychographic methods may improve recorded data by enhancing the picture sharpness to enable the usage of inline or low-cost equipment to detect small defects. Further down the pipeline, several research activities concern the domain-specific model training and optimization tasks. Within the realm of surface technologies, machine learning is applied to predict process behavior, e.g., by predicting the particle properties in plasma spraying process or plasma intensities in the physical vapor deposition process. The injection molding process can also be modeled by data-based approaches. The modeling efficiency based on the used amount of data can furthermore be effectively reduced by using transfer learning to transfer knowledge stored in artificial neural networks from one process to the next. Successful modeling approaches can then be transferred prototypically into production. On the examples of vision-based defect classification in the tape-laying process and a process optimization assistance system in open-die forging, the realization of prototypical support systems is demonstrated. Once mature, research results and consequent digital services must be made available for integrated usage in specific production settings using relevant architecture. By the example of a microservice-based infrastructure for laser technology, a suitable and flexible implementation of a service framework is realized. The connectivity to production assets is guaranteed by state-of-the-art communication protocols. This chapter illustrates the state of research for use-case-driven development of joint approaches.
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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_8.

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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production efficiency enhancement is given. The stages are analyzed and communal challenges are elaborated. The used approaches include both physically motivated surrogate modeling as well as the advanced use of machine learning technologies. Apt research is depicted for each stage based on demonstrator work for diverse production technologies, among them high-pressure die casting, surface engineering, plastics injection molding, open-die forging, and automated tape placement. Finally, a holistic and general framework is illustrated covering the main concepts regarding the transfer of mature models into production environments on the example of laser technologies.Increasing customer requirements regarding process stability, transparency and product quality as well as desired high production efficiency in diverse manufacturing processes pose high demands on production technologies. The further development of digital support systems for manufacturing technologies can contribute to meet these demands in various production settings. Especially for discontinuous production, such as injection molding and laser cutting, the joint research for different technologies helps to identify common challenges, ranging from problem identification to knowledge perpetuation after successfully installing digital tools. Workstream CRD-B2.II “Discontinuous Production” confronts this research task by use case-based joint development of transferable methods. Based on the joint definition of a standard pipeline to solve problems with digital support, various stages of this pipeline, such as data generation and collection, model training, optimization, and the development and deployment of assistance systems are actively being researched. Regarding data generation, e.g., for the high-pressure die-casting process, data acquisition and extraction approaches for machines and production lines using OPC UA are investigated to get detailed process insights. For diverse discontinuous processes and use cases, relevant production data is not directly available in sufficient quality and needs to be preprocessed. For vision systems, ptychographic methods may improve recorded data by enhancing the picture sharpness to enable the usage of inline or low-cost equipment to detect small defects. Further down the pipeline, several research activities concern the domain-specific model training and optimization tasks. Within the realm of surface technologies, machine learning is applied to predict process behavior, e.g., by predicting the particle properties in plasma spraying process or plasma intensities in the physical vapor deposition process. The injection molding process can also be modeled by data-based approaches. The modeling efficiency based on the used amount of data can furthermore be effectively reduced by using transfer learning to transfer knowledge stored in artificial neural networks from one process to the next. Successful modeling approaches can then be transferred prototypically into production. On the examples of vision-based defect classification in the tape-laying process and a process optimization assistance system in open-die forging, the realization of prototypical support systems is demonstrated. Once mature, research results and consequent digital services must be made available for integrated usage in specific production settings using relevant architecture. By the example of a microservice-based infrastructure for laser technology, a suitable and flexible implementation of a service framework is realized. The connectivity to production assets is guaranteed by state-of-the-art communication protocols. This chapter illustrates the state of research for use-case-driven development of joint approaches.
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Amrita, S., Vishnu Achutha Menon, and N. Boobalakrishnan. "Social Media Adoption for Enhanced Customer Engagement." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5668-5.ch015.

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This research explores into the dynamics of social media usage among wedding photographers for enhanced customer engagement in Kerala, India. A thorough survey involving 350 photographers selected through purposive sampling was conducted. The survey instrument was crafted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), a widely recognized model for predicting technology adoption and usage behaviour. The study explored wedding photographers' Behavioural Intention towards social media usage, aiming to understand their readiness to utilize these platforms for business leverage. Through analysis of these factors, the research offers insights into the drivers influencing social media usage among wedding photographers in Kerala.
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Loon, Liew Kian, Chin Chen Mun, Teow Yong Kang, Sherah Chong Seh Rui, Lau Wei Ping, and Magdaline Chan Vui Tung. "Factors Affecting Students' Acceptance of SMART2 Learning Management System." In Handbook of Research on Leveraging Consumer Psychology for Effective Customer Engagement. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0746-8.ch010.

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The aims of this study is to inspect the factors affecting students' acceptance of SMART2 Learning Management System. This study applied a multiple regression for data analysis covering a sample of 218 respondents. Results revealed that the proposed hypothesis via multiple regressions validated that the acceptance and usage of SMART2 UMS was effected positively by the use behaviour. Research outcomes may benefit the learning management system market involving SMART2 UMS in developing constructive strategies to evaluate the usage behaviour of students in UMSLIC in using the SMART2 UMS learning management system and assess the acceptance level of students of SMART2 UMS towards the use behaviour. The consequences of this research study offer a new towards the front movement to the discoveries of advanced studies on acceptance and use behaviour, which is not revealed much in the literature in the state of affairs of UMSLIC by providing extra details in tapering the research space with considerations to comprehend the acceptance and usage of the SMART2 UMS.
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Andoh-Quainoo, Lydia. "Social Media Usage in Online Consumer Decision Process and Buying Behaviour." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2185-4.ch009.

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This chapter examines the usage of social media in predicting consumer buying process. A mixed method approach has been applied, a cross sectional survey and in-depth interviews were conducted in three universities in Ghana. The responses were collected from individuals in the age group of 18 -30. Data was analysed using Logistics Regression and Thematic analyses. The findings revealed that the social media behaviour of young consumers could significantly influence their behaviour at the pre-purchase information search and evaluation levels. The findings suggest young consumers are more likely to use social media for marketing activities such as purchasing, hence industries should redirect more activities towards this digital channel. This implies that social media is driving young consumers into e-commerce and that presents a huge opportunity for business and marketers.
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Conference papers on the topic "Customer usage behaviour"

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Herlina, Maria Grace, Alexandra Li Budiharto, Elizabeth Margaretha Lukito, and Karto Iskandar. "The Effect of Social Media Influencers on Business Sustainability: Understanding Customer Behavior Change Towards Sustainable Usage Patterns." In 2024 6th International Conference on Cybernetics and Intelligent System (ICORIS). IEEE, 2024. https://doi.org/10.1109/icoris63540.2024.10903924.

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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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Dwivedi, Ayushi. "IMPACT OF E-PAYMENT SYSTEMS ON TRADITIONAL BANKING SYSTEMS." In Transforming Knowledge: A Multidisciplinary Research on Integrative Learning Across Disciplines. The Bhopal School of Social Sciences, 2025. https://doi.org/10.51767/ic250127.

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The banking sector is changing dramatically as a result of the quick development of technology. With the growth of e-payment systems, traditional banking—which is defined by in-person transactions and paper-based procedures—is facing more and more competition. Through the use of mobile applications and digital wallets, these digital solutions have completely changed how companies and customers connect, enabling smooth and quick transactions. E-payment systems have become incredibly popular as customer tastes move toward speed, convenience, and accessibility, which has an effect on traditional
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Mary Arul Mathy, T. "Leveraging AI Tools for Enhanced Brand Performance, Customer Engagement, and Innovation." In International Conference on Artificial Intelligence in Commerce and Management. Shanlax Publications, 2025. https://doi.org/10.34293/icaicm-25.ch020.

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This article explores the integration of AI tools, particularly Chat GPT, into brand marketing strategies, focusing on their practical applications, benefits, and challenges. By presenting real-world case studies, actionable recommendations, and insights into AI-driven innovation, the article serves as a comprehensive guide for brand managers seeking to effectively utilize these tools. The findings highlight Chat GPT’s transformative impact, demonstrating its successful implementation in enhancing customer experiences, streamlining interactions, and driving innovative marketing campaigns. Whil
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Lenka, Visweswara Rao, Baskar Anthonysamy, Alok Ranjan Thanapati, and Chandrakant Ramrao Deshmukh. "Advanced Modelling of Frequency Dependent Damper Using Machine Learning Approach for Accurate Prediction of Ride and Handling Performances." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0672.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Accurate ride and handling prediction is an important requirement in today's automobile industry. To achieve the same, it is imperative to have a good estimation of damper model. Conventional methods used for modelling complex vehicle components (like bushings and dampers) are often inadequate to represent behaviour over wide frequency ranges and/or different amplitudes.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;This is difficult in the part of OEMs to model the physics-based model as the damper’s geometry, materi
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Yannou, Bernard, Jiliang Wang, Ndrianarilala Rianantsoa, et al. "Usage Coverage Model for Choice Modeling: Principles." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87534.

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Accurately capturing the future demand for a given product is a hard task in today’s new product development initiatives. As customers become more market-savvy and markets continue fragment, current demand models could greatly benefit from exploiting the rich contextual information that exists in customers’ product usage. As such, we propose a Usage Coverage Model (UCM) as a more thorough means to quantify and capture customer demand by utilizing factors of usage context in order to inform an integrated engineering design and choice modeling approach. We start by presenting the principles of t
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Araya, Sandro, Mariano Silva, and Richard Weber. "Identifying web usage behavior of bank customers." In AeroSense 2002, edited by Belur V. Dasarathy. SPIE, 2002. http://dx.doi.org/10.1117/12.460234.

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Lewis, Kemper, and Dave Van Horn. "Design Analytics in Consumer Product Design: A Simulated Study." 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/detc2013-12982.

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A growing area of research in the engineering community is the use of data and analytics for transforming information into knowledge to design better systems, products, and processes. Data-driven decisions can be made in the early, middle, and late stages in a design process where customer needs are identified and understood, a final concept for a design is chosen, and usage data from the deployed product is captured, respectively. Design Analytics (DA) is a paradigm for improving the core information-to-knowledge transformations in these stages of a design process resulting in better performi
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Aljabr, Mshari, Romana Garma, and Colin Drake. "EXPLORING CUSTOMERS’ ATTITUDES AND BEHAVIOURS TOWARDS USING MOBILE MARKETING BEFORE, DURING, AND AFTER VISITING RESTAURANTS IN SAUDI ARABIA." In GLOBAL TOURISM CONFERENCE 2021. PENERBIT UMT, 2021. http://dx.doi.org/10.46754/gtc.2021.11.003.

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Contemporary tourism has seen the adoption of mobile applications to discover and market attractions such as restaurants and hotels, yet few academic studies focus on customer attitudes and behaviours towards the usage of mobile marketing for restaurants in non-western cultures, like Saudi Arabia. The Saudi Arabian Government’s announcement that its borders are opening to international tourists marks a significant opportunity for the hospitality businesses. This study provides insight into customers’ attitudes and behaviours towards using mobile marketing channels when deciding on restaurants.
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Ling, Kunxiong, Nishant Shah, and Jan Thiele. "Customer-Centric Vehicle Usage Profiling Considering Driving, Parking, and Charging Behavior." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. http://dx.doi.org/10.1109/itsc45102.2020.9294669.

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Reports on the topic "Customer usage behaviour"

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Harkema, Marcel, Dick Quartel, Rob van der Mei, and Bart Gijsen. JPMT: A Java Performance Monitoring Tool. Centre for Telematics and Information Technology (CTIT), 2003. http://dx.doi.org/10.3990/1.5152400.

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This paper describes our Java Performance Monitoring Toolkit (JPMT), which is developed for detailed analysis of the behavior and performance of Java applications. JPMT represents internal execution behavior of Java applications by event traces, where each event represents the occurrence of some activity, such as thread creation, method invocation, and locking contention. JPMT supports event filtering during and after application execution. Each event is annotated by high-resolution performance attributes, e.g., duration of locking contention and CPU time usage by method invocations. JPMT is a
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Nimesh, Vikas, Bhaskar Natarjan, Saddam Hussain, and K. N. Hemanth Kumar. CATALYSING THE MARKET TRANSFORMATION OF ELECTRIC 2-WHEELER INSIGHTS FROM CONSUMERS AND STAKEHOLDERS. Alliance for an Energy Efficient Economy (AEEE), 2023. http://dx.doi.org/10.62576/aeee2w.

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Electric two-wheelers (E2Ws) are becoming increasingly popular as an eco-friendly mode of transport. They provide a convenient and efficient option for short-distance travel, particularly in urban areas. However, the widespread adoption of E2Ws in India still faces several challenges. In order to address these issues, the Alliance for an Energy Efficient Economy (AEEE) and International Copper Association India (ICA India) have teamed up to identify the key barriers hindering the adoption of electric two-wheelers in the market. The joint research project aims to identify effective pathways for
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