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Статті в журналах з теми "Customer preferences survey":

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O'Brien, Ingrid M., Robyn Ouschan, Wade Jarvis, and Geoffrey Norman Soutar. "Drivers and relationship benefits of customer willingness to engage in CSR initiatives." Journal of Service Theory and Practice 30, no. 1 (March 25, 2020): 5–29. http://dx.doi.org/10.1108/jstp-08-2018-0186.

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PurposeThe purpose of this paper is to assess the impact of CSR initiative preference, customer helping orientation and customer participation on willingness to engage in CSR and to demonstrate the influence this engagement has on their commitment and loyalty to the organisation.Design/methodology/approachThis study entailed an online survey of customers from a large not-for-profit organisation (n = 210). Choice modelling is used to test a structural equation model of drivers and outcomes of willingness to engage in CSR.FindingsResults demonstrate the CSR initiative preferred by customers has a stronger impact on their willingness to engage with the CSR initiative (volunteering their time, effort, money) than either customers' helping orientation or customer participation. Furthermore, willingness to engage in CSR influences customer commitment and loyalty to support and recommend the organisation.Research limitations/implicationsThe results clearly demonstrate the significant impact that customers' preferences for and willingness to engage in CSR initiatives have on customers' relationship with not-for-profit organisations.Social implicationsThe results highlight the importance of taking into account customer preferences for CSR issues to encourage customers to engage in CSR initiatives designed to benefit society.Originality/valueTraditionally CSR literature has focused on how commercial firms' engagement in CSR creates value for the firm and society. The marketing literature has focused on how customer engagement in brand communities benefits the firm. This study extends the research by exploring customers’ willingness to engage in CSR with not-for-profit organisations. It uses Choice modelling to demonstrate the impact of customer preferences for local and aligned CSR initiatives on customer willingness to engage.
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Dudík, Roman, Vlastimil Borůvka, Marcel Riedl, and Tomáš Holeček. "DATA MINING AND ITS IMPACT ON MARKETING COMMUNICATION – CASE: HEAT-TREATED BIRCH WOOD." WOOD RESEARCH 66(3) 2021 66, no. 3 (July 20, 2021): 463–76. http://dx.doi.org/10.37763/wr.1336-4561/66.3.463476.

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The article presents the results of a marketing survey in the area of customer preferences in the case of different degrees of heat-treated solid wood and birch veneer. Part of the marketing survey was a questionnaire survey, where the respondents, as potential customers, expressed their preferences for individual samples which, at first glance, differed in colour due to the different degrees of heat treatment. The result of the research is a clear preference for the heat-treated samples compared to the reference sample without heat treatment. A more detailed secondary analysis of the data from the questionnaire survey was performed with regard to the gender, age and education of the respondents. Here, too, it is possible to conclude a clear preference for heat-treated samples for these groups of respondents. The article also analyses the possibilities of the marketing strategy with a focus on marketing communication, especially in relation to wood processors and producers.
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Almunawar, Mohammad Nabil, Muhammad Anshari, Heru Susanto, and Chin Kang Chen. "Revealing Customer Behavior on Smartphones." International Journal of Asian Business and Information Management 6, no. 2 (April 2015): 33–49. http://dx.doi.org/10.4018/ijabim.2015040103.

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Recent development of mobile phones is very interesting as the new generation, known as “smart phones”, offer highly attractive features. The main advantage of smart phones is the ability to connect to the Internet from anywhere, consequently enabling them to remain continuously in touch with their social networks. This paper discusses how consumers in Brunei Darussalam (Brunei) responded to the survey of smart phones. A Theory of Reasoned Action Model is used to understand customers preference in choosing a specific product over the other. To assess the use of smart phones, the authors conducted surveys with consumers, stressing on product preferences, consumption behavior of smart phones, as well as opinions on the functionality of smart phones. The smart phone market in Brunei is dominated by the younger generation who is less sensitive towards price. In terms of usability, consumers prefer smart phones more than tablets or other mobile devices, the reason for their preference being the superior functional features which exist in smart phones.
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Xie, Xiaoqing (Kristine), Chris K. Anderson, and Rohit Verma. "Customer Preferences and Opaque Intermediaries." Cornell Hospitality Quarterly 58, no. 4 (January 6, 2017): 342–53. http://dx.doi.org/10.1177/1938965516686108.

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Using two choice-based experiments, we evaluate consumer preferences hotel attributes for firms selling hotel rooms across three online distribution channel formats: full information, semi-opaque, and opaque online travel agents. A multinomial logit model is used to analyze the experimental data and measure consumer trade-offs between price and other product attributes. We then use these preferences to determine optimal channel selling strategies. Our optimal channel strategies illustrate under what conditions firms should add opaque distribution channels and the resulting incremental revenue obtained with the setting of optimal channel specific prices. We deploy two choice-based experiments, traditional and menu-based, in an effort to add flexibility to survey respondents in choice selection. As part of our analysis, we compare managerial insights from analysis based on traditional choice-based experiments to that using menu-based choice experiments. In general, we indicate that both forms of opaque selling increase firm demand and that with appropriate pricing can also increase firm revenue. In addition, opaque channels have elevated price sensitivity and increased impact of guest reviews versus traditional online travel agents.
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Natasha, Isabella, and Robert La Are. "The Impact of Online Reviews and Ratings on Customer Hotel Preferences, Case Study: Tripadvisor." ICONIET PROCEEDING 2, no. 4 (February 14, 2019): 302–11. http://dx.doi.org/10.33555/iconiet.v2i4.48.

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Online hotel reviews is an important source for customers to find out the products and service quality. Online hotel reviews consist of reviews and ratings. The best online reviews website in TripAdvisor. In this era, online reviews are really important and could affect customer preferences in choosing a hotel. The aim of this research is to analyze in what extent do online reviews and ratings affect customer preferences. This study use survey by distributing a total of 100 questionnaires in order to gain the data. Then, the data will be proceed through SPSS to test the validity, reliability, classical assumption, and multiple regression analysis. The results indicatedthat both of the variables (online reviews and ratings) positively impact customer preferences in choosing a hotel. However, online reviews has a bigger impact towards customer preferences rather than online ratings. It is recommended for TripAdvisor to weed out the fake reviews and guarantee the trustworthy reviews. For the hotel managers, it is recommended to response both, positive and negative reviews that made by customers in TripAdvisor, because it could change someone’s perceptions into the good feeling of the hotel.
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Kostrzewska, Martyna, and Daria Emilia Wrukowska. "ONLINE SHOPPING PREFERENCES OF POLISH AND CHINESE CONSUMER – COMPARATIVE ANALYSIS." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 21, no. 2 (June 30, 2020): 219–34. http://dx.doi.org/10.5604/01.3001.0014.2887.

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The purpose of this paper is to evaluate the level of satisfaction of e-service customers from Poland and China through identification of gaps between customer expectations and the degree to which such expectations are met by providers of online services. Towards this end the E-Servqual method was employed, which enabled the measurement of customer expectations as to the quality of key aspects of online services relative to the actual degree to which customer expectations were met. This survey shows how respondents perceive the quality of online services and their preferences in this respect. Based on the seven dimensions of the E-Servqual scale, i.e. contact, efficiency, reliability, fulfilment, privacy, responsiveness, compensation, the present author proposed her own measures of e-services quality.
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Yusma F, Jenio. "CUSTOMER PREFERENCE IN STORING WADIAH YAD DHAMANAH SAVINGS (Survey at Bank BRI Syariah KCP Setiabudhi)." Review of Islamic Economics and Finance 1, no. 1 (December 19, 2018): 10. http://dx.doi.org/10.17509/rief.v1i1.16157.

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This research aims to know the influence of product quality, and quality service to the customer's preferences in store savings wadiah yad dhamanah. The method used was explanatory survey with multiple linear regression test tool. The respondents of the research was Bank BRI Syariah KCP Setiabudhi Bandung. As for the sampling technique used is a sampling of saturated. The results showed a preference Bank BRI Syariah KCP Setiabudhi can be categorized and significantly higher client preferences are influenced by the variable quality of product and service quality.
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Ganesh, Gopala K., and Erramilli M. Krishna. "Customer Preference For Alternative Credit Card Based Payment Methods: Some Empirical Evidence." Journal of Applied Business Research (JABR) 3, no. 3 (October 31, 2011): 137. http://dx.doi.org/10.19030/jabr.v3i3.6524.

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This article looks at consumer preferences for two major types of credit cards viz: (1) national credit cards i.e. bank credit cards and travel and entertainment cards that are typically accepted at a wide variety of establishments and (2) store credit cards whose acceptance is typically limited to stores that constitute a department store chain. Through a mail survey, an attempt is made to identify the reasons for card preferences and distinguishing background characteristics of individuals with a distinct preference.
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Yang, Xia, Zafar U. Ahmed, Morry Ghingold, Goh Sock Boon, Tham Su Mei, and Lim Lee Hwa. "Consumer preferences for commercial Web site design: an Asia‐Pacific perspective." Journal of Consumer Marketing 20, no. 1 (February 1, 2003): 10–27. http://dx.doi.org/10.1108/07363760310456928.

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Given that even modest increases in customer satisfaction and retention typically translate into significant gains in revenues and profits, many businesses are using the Internet to expand their reach, improve customer service and develop and maintain closer relationships with their customers. For example, customer relationship management (CRM) software enables marketers to offer online interactions that are customizable to the individual customer, allowing online marketers to better match their offerings and the online experience to consumers’ needs, wants and preferences, even in markets with millions of prospects and customers. Thus, a successful Web site can be instrumental in its impact on the marketing effectiveness of a firm and significantly add to the bottom line. Yet, in order to determine what constitutes a successful Web site, one must be able to understand how users perceive and utilize it. This paper presents the results of a survey conducted to assess consumer perceptions and preferences for commercial Web sites. To address the paucity of e‐commerce research undertaken in the Asia‐Pacific region, as compared to Western countries, the data were collected in Singapore. The attracting, informing, positioning, and delivering (AIPD) model provided the conceptual foundation for the research. Survey findings reveal that Singaporean consumers have distinct preferences when visiting commercial Web sites, ranking security and privacy as their most valued attributes, for example. In contrast, cross‐marketing, via banner advertising and affiliate programs, were least valued. Many other features of Web sites were evaluated. Managerial and research implications of the study are then discussed.
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Denizci Guillet, Basak, and Deniz Kucukusta. "Spa market segmentation according to customer preference." International Journal of Contemporary Hospitality Management 28, no. 2 (February 8, 2016): 418–34. http://dx.doi.org/10.1108/ijchm-07-2014-0374.

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Purpose – This paper aims to segment spa customers based on their preferences for a set of spa attributes. With the considerable growth rate of the spa market, it is vital for spa professionals to understand spa-goers’ preferences. However, academics and industry professionals have not devised a structured method by which to manage spa customers. Design/methodology/approach – A survey was conducted using a face-to-face survey with visitors to Hong Kong who had visited a spa. By applying conjoint and cluster analysis, customers could be categorized into distinct segments. Findings – Four customer segments were identified: spa enthusiasts, high spenders, value seekers and price-sensitive spa-goers. Spa enthusiasts were the largest segment among the four, followed by value seekers, price-sensitive spa-goers and high spenders. Research limitations/implications – Given the limited academic interest in the area, this study contributes to the literature by providing insights into spa-goers’ preferences and how those preferences can be used to segment spa-goers. Practical implications – Based on the different needs, preferences and socio-demographic characteristics of the four segments – spa enthusiasts, high spenders, value seekers and price-sensitive spa-goers – spa industry managers could customize their strategies and design different spa services and packages to meet the needs of the four segments. Originality/value – The combined use of conjoint and cluster analysis provides a new method of market segmentation in the spa industry. This study could help spa professionals to design customized spa products for the distinct segments, and thus retain and attract more spa visitors.

Дисертації з теми "Customer preferences survey":

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Baranyiová, Lucie. "Návrh reklamních strategie v pohostinství - komparativní studie pro ČR a Irsko." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-449774.

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This diploma thesis entitled "Design of Promotion Strategie in the Hospitality Industry - a Comparable Study for the Czech Republic and Ireland" addresses strategic practices in different countries and further applies them. The aim was to assess whether it is possible to apply the same advertising procedures as in Ireland at domestic country. The evaluation was carried out on the basis of a semi-structured interview with a Irish resident working in the hospitality industry and a questionnaire survey which took place in the Czech Republic. In the conclusion the are formulated specific steps inspired by Ireland which can be applied in the Czech Republic.
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Thompson, Ashlynn E. "Brick and Mortar 2.0: The Future of Brick-and-Mortar Fashion Retail." Kent State University Honors College / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1587136943219588.

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PILNÁ, Kristýna. "Preference zákazníků vůči jednotlivým maloobchodním jednotkám ve vybrané lokalitě." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-394838.

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This diploma thesis deals with the causes of division of customer preferences towards individual retail units in the town of Blatná in order to recommend proposals for improvement for the consumer cooperative COOP. The theoretical overview provides basic information about food retailers in the Czech Republic, presents the formats of stores, attitudes of shoppers to food stores, individual elements of the retail mix or other factors influencing customer attitudes towards the store which can be influenced by retailers. The practical part relates to the food chains in Blatná and it is focused on identifying the respondents' favourite and main shopping place, the reasons for dividing customer preferences towards retail units, researching attitudes toward retail units and evaluating the retail mix of these stores. The practical part consists of two parts, a questionnaire survey focused on customers of food stores in Blatná, and research from these stores. Subsequently, it is possible to define respondents' attitudes towards food retailers in Blatná and their buying behavior. The survey in retail formats is used to identify and evaluate the core elements of the retail mix of individual stores. Thanks to these procedures it is possible to define improvement suggestions for COOP Tip in Blatná.

Книги з теми "Customer preferences survey":

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United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Commerce, Trade, and Consumer Protection. How do businesses use customer information? Is the customer's privacy protected? : hearing before the Subcommittee on Commerce, Trade, and Consumer Protection of the Committee on Energy and Commerce, House of Representatives, One Hundred Seventh Congress, first session, July 26, 2001. Washington: U.S. G.P.O., 2001.

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Corporation, SMR Research. Home improvement markets, 2002: Market size by type of project : full customer demographics. Hackettstown, NJ (300 Valentine St., Hackettstown 07840): SMR Research Corp., 2002.

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J, Weiss Michael. The clustering of America. New York: Harper & Row, 1988.

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4

J, Weiss Michael. The clustered world: How we live, what we buy, and what it all means about who we are. Boston: Little, Brown, 2000.

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5

Group, NAHB Economics. What 21st Century Home Buyers Want: A Survey of Customer Preferences. BuilderBooks.com, 2001.

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Association, Medical Library, and Medical Economics Research Group, eds. MLA custom research study: Coagulation/hemostasis in the lab. Montvale, NJ (Five Paragon Dr., Montvale, 07645): Medical Economics Pub., 1991.

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Nereah, Makau, Cinema Leo (Organization), and Daystar University College. Research Dept., eds. Cinema Leo survey: A study of viewer characteristics, viewing habits, preference, and attitudes. Nairobi, Kenya: Daystar University College, Research Dept., 1988.

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The Affluent market fact book: The financial and investment status, behavior, and preferences of affluent consumers, 1981-1985. Tampa, Fla: Payment Systems, 1986.

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Vaccari, Cristian, and Augusto Valeriani. Outside the Bubble. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190858476.001.0001.

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The ways in which citizens experience politics on social media have overall positive implications for political participation and equality in Western democracies. This book investigates the relationship between political experiences on social media and institutional political participation based on custom-built post-election surveys on samples representative of Internet users in Denmark, France, Germany, Greece, Italy, Poland, Spain, the United Kingdom, and the United States between 2015 and 2018. On the whole, social media do not constitute echo chambers, as most users see a mixture of political content they agree and disagree with. Social media also facilitate accidental encounters with news and exposure to electoral mobilization among substantial numbers of users. Furthermore, political experiences on social media have relevant implications for participation. Seeing political messages that reinforce one’s viewpoints, accidentally encountering political news, and being targeted by electoral mobilization on social media are all positively associated with participation. Importantly, these political experiences enhance participation, especially among citizens who are less politically involved. Conversely, the participatory benefits of social media do not vary based on users’ ideological preferences and on whether they voted for populist parties. Finally, political institutions matter, as some political experiences on social media are more strongly associated with participation in majoritarian systems and in party-centric systems. While social media may be part of many societal problems, they can contribute to the solution to at least two important democratic ills—citizens’ disconnection from politics and inequalities between those who choose to exercise their voice and those who remain silent.

Частини книг з теми "Customer preferences survey":

1

Smith, Alan D. "Digital Marketing and E-Tailing Technological Innovations." In Advances in Finance, Accounting, and Economics, 37–65. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1104-6.ch003.

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In an age of public mistrust of the most basic institutions, businesses are not exempted. Essentially all e-tailers want to deliver personalized and real-time communications to customers that are tailored to their interests and preferences, and are based on big data mining that customers will value over privacy concerns. This is an era in which e-commerce retailers continue to dominate the marketplace and it is integral that consumers are able to trust the manufacturers, retailers, and the service/product reviews that they read online. Such trust is particularly important if their ultimate purchase decision is a successful one. A survey of middle-level managers was analyzed to identity the basic elements: e-personalization, namely online purchasing behaviors, personalized communications, information-retrieval services, degree of personal web presence, quality assurance of customer service, and the promotion of customization services. These elements were found to be conceptually and statistically related to retailer benefits of increased buying and customer loyalty.
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Yaokumah, Winfred, Peace Kumah, and Eric Saviour Aryee Okai. "Demographic Influences on E-Payment Services." In Gender Economics, 653–75. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7510-8.ch032.

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This study investigated customers' preferences of payment systems and the influence of demography on the attitude of customers towards e-payment services. Survey responses were received from 558 bank customers. The t-test and the analysis of variance were employed to examine the differences in perception of security, ICT literacy, customer satisfaction, and the use of e-payment services based on customers' age, gender, and the level of education. The findings revealed no significant differences between the male and female customers in the use of e-payment services. However, the male customers had higher ICT skills, yet perceived e-payment services less secured. Moreover, there were no significant differences in satisfaction and e-payment use, though, customers with higher level of education felt less secured using the services. Also, whereas the older customers were more satisfied with e-payment services, the younger customers had more ICT skills and use the services much more. These findings are necessary for formulating strategies for marketing e-payment services.
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Zimeras, Stelios, Petros Kostagiolas, and Charilaos Lavranos. "Dealing with the Uncertainty of Satisfaction Surveys in Organizations That Employ Interactive Multimedia." In Advances in Multimedia and Interactive Technologies, 160–75. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8659-5.ch008.

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The meaning of customer satisfaction has introduced many research analyses in many scientific fields during the recent years. Customer satisfaction represents a modern approach for evaluating quality in any kind of organizations. Customer satisfaction provides a useful and objective feedback about preferences and expectations. This can be particularly important for the design of services based on multimedia and interactive technologies, which are novel to most users. During the evaluation process, surveys analysis must be applied with main task to understand customer satisfaction. For that reason questionnaires have been proposed to reflect the previous analysis. Many times in that process, individuals that participate in the interviewing process misunderstand the pose questions leading to false answers and error results, without evaluating all recourses during the interview. The aim of this chapter is to analyze a statistical modeling of that false answers considering categorical data analysis through a digital music library case study. This chapter focuses on a proposed method which is based on the probabilities of the positive or negative TRUE and FALSE answers, with main task to reduce the variability of the errors during the survey.
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Anggraeni, Adilla, and Meyliza Thorina. "The Effect of Room Service, Comfort, and Reservation Process on The Performance Dimension Evaluation." In Destination Management and Marketing, 122–33. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2469-5.ch009.

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As Indonesian hospitality market is growing, Indonesian customer preferences need to be understood more deeply by hotels to stay competitive. This research aims to examine the relationship between room service, room comfort, and reservation process factors to the performance of in-room dining, front office service, room amenities, hotel access and safety. Survey method was employed in this study, consisting of offline surveys distributed to the individuals who have stayed in one of the prominent hotels in Jakarta. The results indicated that room service does have a direct linear relationship on the performance of in-room dining, but room service does not have a direct linear relationship to the room amenities and hotel access and safety. Room comfort was shown to have a direct linear effect on the performance of in-room dining, room amenities, hotel access and safety. On the other hand, reservation process does have a direct linear effect on the performance of front office service as well as to the room amenities and hotel access and safety.
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Strize, Ante, Mario Jadrić, and Maja Ćukušić. "Smart City Solutions and the Potential of Using Web APIs." In Handbook of Research on Creating Sustainable Value in the Global Economy, 38–54. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1196-1.ch003.

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This chapter presents the advantages of using APIs in the context of Smart City solutions and describes relevant successful practices. As there is still some uncertainty and the fear of compromising the security of data in these types of scenarios, most cities have just started using web APIs indicating that there are still opportunities for further enhancements. Different views on Smart City solutions result in different priorities and assumptions, so depending on the role, it is possible to differentiate between the programmer's (technical) and customer/citizen's perspective. The research was conducted with two groups of respondents: with end-users and programmers. The purpose of the survey was to find out the preferences and characteristics that potential users are looking for from Smart City solutions, while the aim of conducted interviews with programmers was to explore their attitudes about using web APIs in Smart City solutions.
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Daum, Diane L., and Jennifer A. Stoll. "Employee Preferences." In Employee Surveys and Sensing, 153–70. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190939717.003.0010.

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Understanding and delivering on employee preferences results in real business outcomes, such as more effective hiring, decreased attrition, and stronger customer service. The authors begin with an introduction to the literature on employee preferences, especially as related to the employee value proposition (EVP), employer branding, and person–organization and person–job fit. They advocate using direct preference measurement techniques such as ranking, point-allocation exercises, and conjoint surveys that require respondents to make trade-offs that reveal what matters most to them and supplementing these with qualitative techniques such as interviews, focus groups, and open-ended comments to provide additional context. The authors emphasize the importance of using the information collected to ensure that the EVP supports the organization’s strategy and will be credible to employees and candidates, while conveying what differentiates them from talent competitors.
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Benaboud, Rohallah, and Toufik Marir. "Web Services Reputation Based on Consumer Preferences." In Novel Approaches to Information Systems Design, 123–36. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2975-1.ch006.

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With the increasing application of web services in our lives, selecting the right web service is becoming unprecedentedly difficult. Indeed, before paying the price of a web service, the customer always tries to make sure of his choice. One of the mechanisms used to put the customer in trust is to make available the opinions of other customers who have already used this web service. In the literature, many solutions for measuring the reputation of web services have been proposed. Unfortunately, they ignore certain aspects that we find important to ensure a more meaningful assessment of the reputation. Firstly, consumers do not always have the same satisfaction criteria, and as a result, they can judge the same web service differently. Thus, without knowing the consumer's preferences, it is almost impossible to give meaning to his opinion. Secondly, the qualities of a web service can be changed over time, and hence, the old ratings are no longer representative. In this chapter, the authors propose a novel reputation computation approach to deal with the problems mentioned above.
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Almunawar, Mohammad Nabil, Muhammad Anshari, Heru Susanto, and Chin Kang Chen. "How People Choose and Use Their Smartphones." In Advances in Human Resources Management and Organizational Development, 235–52. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4056-4.ch014.

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Global adoption of smartphones has changed the way people communicate, interact and perform their daily tasks. Smartphones have many highly attractive features that assist people in performing their daily tasks. This paper discusses a survey on the utilization of smartphones by consumers in Brunei Darussalam (Brunei). We use the Theory of Reasoned Action Model to reveal customers preference in choosing a specific product over the other. We conducted a survey with consumers, stressing on product preferences, consumption behavior of smartphones, as well as opinions on the functionality of smartphones. Smartphones are considered very useful by the majority of the respondents who are strongly attached to them as they are heavily used in social networking. As such, smartphones have reached to become necessary devices in Brunei and for many Bruneians, performance and appearance are more important than price.
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Almunawar, Mohammad Nabil, Muhammad Anshari, Heru Susanto, and Chin Kang Chen. "How People Choose and Use Their Smartphones." In Multigenerational Online Behavior and Media Use, 1592–609. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch084.

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Global adoption of smartphones has changed the way people communicate, interact and perform their daily tasks. Smartphones have many highly attractive features that assist people in performing their daily tasks. This paper discusses a survey on the utilization of smartphones by consumers in Brunei Darussalam (Brunei). We use the Theory of Reasoned Action Model to reveal customers preference in choosing a specific product over the other. We conducted a survey with consumers, stressing on product preferences, consumption behavior of smartphones, as well as opinions on the functionality of smartphones. Smartphones are considered very useful by the majority of the respondents who are strongly attached to them as they are heavily used in social networking. As such, smartphones have reached to become necessary devices in Brunei and for many Bruneians, performance and appearance are more important than price.
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Le Meunier-FitzHugh, Kenneth. "2. Marketing research." In Marketing: A Very Short Introduction, 16–29. Oxford University Press, 2021. http://dx.doi.org/10.1093/actrade/9780198827337.003.0002.

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This chapter examines marketing research, one of the most engaging parts of marketing, as it is the opportunity for organizations to evaluate marketing performance, uncover customer behaviours, and explore their preferences. Marketing research covers a range of activities which may be positioned as either problem-identification research or problem-solving research. Sources of data and information for marketing research include secondary or desk research; primary or field data; quantitative data; and qualitative data. Meanwhile, marketing research methods are reviewed including surveys and questionnaires; focus groups and interviews; experiments and observations; and neuromarketing. The chapter then considers how sampling is widely used in primary research. It also looks at customer insights and big data.

Тези доповідей конференцій з теми "Customer preferences survey":

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MacDonald, Erin, Katie Whitefoot, James T. Allison, Panos Y. Papalambros, and Richard Gonzalez. "An Investigation of Sustainability, Preference, and Profitability in Design Optimization." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29055.

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Customer preferences for sustainable products are dependent upon the context in which the customer makes a purchase decision. This paper investigates a case study in which fifty-five percent of survey customers say they prefer recycled paper towels, but do not purchase them. These customers represent a profit opportunity for a firm. This paper explores the impact of investing capital in activating pro-environmental preferences on a firm’s profitability and greenhouse gas (GHG) emissions through a multi-objective optimization study. A product optimization is designed to include models of carbon dioxide emissions, manufacturing costs, customer preference, and technical performance. Because the optimization includes a tradeoff between recycled paper and performance, a model of customer preferences, and a market of competing products, the maximum GHG reduction occurs at less than 100% recycled paper. Also, the tradeoff between GHG reductions and profit is not dictated by the configuration of the product, but instead by its price. These results demonstrate the importance of including customer preferences with engineering performance in design optimization. Investment in the activation of pro-environmental preferences is high at all points on the Pareto optimal frontier, suggesting that further engineering design research into the activation of pro-environmental product preferences is warranted.
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Kumar, Deepak, Chris Hoyle, Wei Chen, Nanxin Wang, Gianna Gomez-Levi, and Frank S. Koppelman. "Incorporating Customer Preferences and Market Trends in Vehicle Package Design." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35520.

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Demand models play a critical role in enterprise-driven design by expressing revenues and costs as functions of product attributes. However, existing demand modeling approaches in the design literature do not sufficiently address the unique issues that arise when complex systems are being considered. Current approaches typically consider customer preferences for only quantitative product characteristics and do not offer a methodology to incorporate customer preference-data from multiple component/subsystem-specific surveys to make product-level design trade-offs. In this paper, we propose a hierarchical choice modeling approach that addresses the special needs of complex engineering systems. The approach incorporates the use of qualitative attributes and provides a framework for pooling data from multiple sources. Heterogeneity in the market and in customer-preferences is explicitly considered in the choice model to accurately reflect choice behavior. Ordered logistic regression is introduced to model survey-ratings and is shown to be free of the deficiencies associated with competing techniques, and a Nested Logit-based approach is proposed to estimate a system-level demand model by pooling data from multiple component/subsystem-specific surveys. The design of the automotive vehicle occupant package is used to demonstrate the proposed approach and the impact of both packaging design decisions and customer demographics upon vehicle choice are investigated. The focus of this paper is on demonstrating the demand (choice) modeling aspects of the approach rather than on the vehicle package design.
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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 close examination of customer satisfaction survey data, several key characteristics are identified, including the lack of defined choice sets and missing choice attributes, the use of subjective measures such as ratings by customers to describe product attributes, multiple collinearity among many of the product attributes, and potentially insufficient attribute variation in the product designs evaluated by the respondents in the survey. A mixed logit based choice modeling procedure is developed in this paper to incorporate the use of both survey ratings as subjective measures and engineering attributes as quantitative measures in the model utility function. In order to accurately reflect choice behavior in actual market conditions, heterogeneity in customer preference is explicitly considered in the demand model. A case study using the Vehicle Quality Survey data acquired from J.D. Power and Associates demonstrates many of the key features of the proposed approach. The estimation results show the mixed logit model to be successful in modeling customer choices at the individual level, demonstrating the potential of being integrated with engineering models for engineering design.
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Wang, L., B. D. Youn, S. Azarm, and P. K. Kannan. "Customer-Driven Product Design Selection Using Web Based User-Generated Content." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48338.

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Acquisition of the customer data for product design selection using conventional customer survey techniques can be a time-consuming and costly undertaking. The aim of this paper is to overcome this limitation by using web based User-Generated Content (UGC) as an alternative to the conventional customer survey techniques. UGC refers to various public media contents created by web users including contents in online customer reviews, blogs, and social networking interactions. So far, there has not been any systematic effort in using UGC in design selection for a customer durable product. Using UGC in product design selection is not an easy task because UGC can be freely expressed and written by customers with little constraints, structure and bounds. As a result, UGC can contain a lot of noise, variability in content and even bias induced by the customers. In order to make use of UGC, this paper develops a systematic methodology for eliciting product attributes from UGC, constructing customer preference models and using these models in design selection. To demonstrate the proposed method, design selection of a smartphone using UGC is considered as an example. It is shown in the example that the proposed method can provide a reasonable estimation of customer preferences while being useful for product design selection.
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Swamy, Surya, Seth Orsborn, Jeremy Michalek, and Jonathan Cagan. "Measurement of Headlight Form Preference Using a Choice Based Conjoint Analysis." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35409.

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The measurement and understanding of user aesthetic preference for form is a critical element to the product development process and has been a design challenge for many years. In this article preference is represented in a utility function directly related to the engineering representation for the automobile headlight. A method is proposed to solicit and measure customer preferences for shape of the automobile headlight using a choice task on a main-effects conjoint survey design to discover and design the most preferred shape.
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Wang, Z., P. K. Kannan, and S. Azarm. "Customer Driven Optimal Design for Convergence Products." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47927.

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Convergence products are multifunctional designs which are changing the way consumers use existing functionalities. Manufacturers’ ventures in developing convergence products abound in the marketplace. Smartphones, tablet computers, internet TV, are just a few examples. The complexity of designing a convergence product can differ significantly from that of single function products which most research in “Design for Market Systems” aims at. In this paper, a new customer-driven approach for designing convergence products is proposed to address the following issues: (i) a design representation scheme that considers information from design solutions used in existing products. The representation facilitates the coupling of and combining multiple functionalities; (ii) a hierarchical Bayes model that evaluates consumers’ heterogeneous choices while revealing how usage of multiple functionalities impacts consumers’ preferences; and (iii) design metrics which help evaluate profitability of design alternatives and account for future market penetration given evolving consumer preferences. An example problem for designing a tablet computer is used to demonstrate the proposed approach. The data for the example is collected by conducting a choice-based conjoint survey which yielded 92 responses. The proposed approach is demonstrated with three scenarios differentiated by the consideration of consumer heterogeneity and future market penetration, while comparing how the resulting optimal design solutions for the convergence product differ.
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Patoglu, Volkan, Gurdal Ertek, Ozgur Oz, Deniz Zoroglu, and Gul Kremer. "Design Requirements for a Tendon Rehabilitation Robot: Results From a Survey of Engineers and Health Professionals." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28529.

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Exoskeleton type finger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing finger exoskeleton prototype. The goal of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
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Sperry, Ben, and Curtis Morgan. "Case Study of Cluster Analysis in Intercity Passenger Rail Planning and Marketing." In 2011 Joint Rail Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/jrc2011-56025.

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Recent policy and regulatory initiatives have established new momentum for intercity passenger rail among planners, policymakers, and the general public. As a result, there is a great interest in developing new passenger rail lines and expanding existing routes in intercity corridors across the country. Moving forward, there exists a need to understand how current passenger rail services are being utilized, who is riding them, and what changes could be implemented to existing routes to attract ridership — as well as to document lessons learned from existing lines that can aid service development planning for newly proposed routes. In this paper, cluster analysis is applied to passenger survey data obtained in 2007 from riders of three Amtrak routes in the state of Michigan, USA. Cluster analysis is a multivariate data analysis method used extensively in marketing and customer profile research which seeks to identify similarities among potential customers that are not immediately evident using traditional grouping techniques. Data used in the formation of the passenger clusters include traveler alternatives to the passenger rail service and the importance of service attributes, on-board activities, and station amenities. These variables and other data from the passenger survey are then used to characterize the identified clusters in terms of what kinds of passengers are in each cluster and how these passengers benefit from the rail service. The passenger clusters are also analyzed for their potential response to service improvements such as reduced travel time, increased service frequencies, or improved intermodal connections. The findings of this case study can be applied in a number of activities related to intercity passenger rail service planning for existing as well as proposed routes. The findings provide valuable insight into the needs and preferences of current passengers and can be used to formulate strategies for equipment investments or the development of new on-board amenities. From a policy perspective, passengers’ preferences for alternative travel modes in the absence of the rail service reveal how the rail service supports intercity mobility for each of the clusters. Finally, from the cluster profile, potential strategies to attract new riders can be identified. The results show that clustering analysis methodology applied in this case study is a valuable tool for intercity passenger rail planning.
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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 and predict the choice set for each individual customer in a new choice modeling scenario where the choice set information is lacking. The proposed data-analytics approach integrates product association analysis, network analysis, consumer segmentation, and predictive analytics. Using the J.D. Power vehicle survey as the existing choice set data, we demonstrate that the association network approach is capable of recognizing and expressively summarizing meaningful product relations in choice sets. Our method accounts for consumer heterogeneity using the stochastic generation algorithm where the probability of selecting an alternative into a choice set integrates the information of customer profile clusters and products chosen frequencies. By comparing multiple multinomial logit models using different choice set compositions, we show that the choice model estimates are sensitive to the choice set compositions and our proposed method leads to improved modeling results. Our method also provides insights into market segmentation that can guide engineering design decisions.
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Ghotbi, Sina, Michael J. Scott, and Joseph A. Donndelinger. "Assessing Fusibility in Enrichment Methods for Disparate Customer Data Sets." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87751.

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Model fusion of results from disparate survey methodologies is a topic of current interest in both research and practice. Much of this interest has centered on the enrichment of stated-preference results with revealed-preference data, or vice versa, as it is considered that stated preference methods provide more robust trade-off information while revealed preference methods give better information about market equilibria. The motivation for this paper originates in the automotive industry, and is distinct in that it focuses on the reuse of existing data. Practitioners wish to glean as much information as possible from a large body of existing market research data, which may include minimally overlapping datasets and widely varying survey types. In particular, they wish to combine results from different types of stated preference methods. This paper presents two advancements in model fusion. One is a method for reducing data gathered in open-ended methods such as van Westendorp studies to a form amenable to analysis by multinomial logit, thus enabling the comparison of open-ended data to conjoint data on overlapping data sets. The other is a new statistical test for the fusibility of disparate data sets, designed to compare different methods of data comparison. This test is less sensitive than existing tests, which are most useful when comparing data sets that are substantially similar. The new test may thus provide more guidance in the development of new methods for fusing distinct survey types. Two examples are presented: a simple study of cell phone features administered as a test case for this research using both choice-based conjoint and van Westendorp methodologies, and a pair of existing larger-scale studies of automotive features with some attributes common to both studies. These examples serve to illustrate the two proposed methods. The examples indicate both a need for continued testing and several potentially fruitful directions for further investigation.

Звіти організацій з теми "Customer preferences survey":

1

Adsit, Sarah E., Theodora Konstantinou, Konstantina Gkritza, and Jon D. Fricker. Public Acceptance of INDOT’s Traffic Engineering Treatments and Services. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317280.

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As a public agency, interacting with and understanding the public’s perspective regarding agency activities is an important endeavor for the Indiana Department of Transportation (INDOT). Although INDOT conducts a biennial customer satisfaction survey, it is occasionally necessary to capture public perception regarding more specific aspects of INDOT’s activities. In particular, INDOT needs an effective way to measure and track public opinions and awareness or understanding of a select set of its traffic engineering practices. To evaluate public acceptance of specific INDOT traffic engineering activities, a survey consisting of 1.000 adults residing within the State of Indiana was conducted. The survey population was representative in terms of age and gender of the state as of the 2010 U.S. Census. The survey was administered during the months of July and August 2020. Public awareness regarding emerging treatments not currently implemented in Indiana is low and opposition to the same new technologies is prominent. Older or female drivers are less likely to be aware of emerging treatments, and older drivers are more likely to oppose potential implementation of these treatments. Although roundabouts are commonplace in Indiana, multi-lane roundabouts remain controversial among the public. Regarding maintenance and protection of traffic during work zones and considering full or partial roadway closure, public preference is for partial closure; this preference is stronger in rural areas. The public equally agrees and disagrees that INDOT minimizes construction related traffic delays. Approximately 76% of Indiana drivers believe themselves to above average drivers, while an additional 23% believe themselves to be average. Driver perceptions of average highway speeds speed are not aligned with posted speed limit as the perceived average speed on Indiana’s urban freeways and rural and urban state highways is considerably higher than the actual speed limit.
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Payment Systems Report - June of 2020. Banco de la República de Colombia, February 2021. http://dx.doi.org/10.32468/rept-sist-pag.eng.2020.

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With its annual Payment Systems Report, Banco de la República offers a complete overview of the infrastructure of Colombia’s financial market. Each edition of the report has four objectives: 1) to publicize a consolidated account of how the figures for payment infrastructures have evolved with respect to both financial assets and goods and services; 2) to summarize the issues that are being debated internationally and are of interest to the industry that provides payment clearing and settlement services; 3) to offer the public an explanation of the ideas and concepts behind retail-value payment processes and the trends in retail payments within the circuit of individuals and companies; and 4) to familiarize the public, the industry, and all other financial authorities with the methodological progress that has been achieved through applied research to analyze the stability of payment systems. This edition introduces changes that have been made in the structure of the report, which are intended to make it easier and more enjoyable to read. The initial sections in this edition, which is the eleventh, contain an analysis of the statistics on the evolution and performance of financial market infrastructures. These are understood as multilateral systems wherein the participating entities clear, settle and register payments, securities, derivatives and other financial assets. The large-value payment system (CUD) saw less momentum in 2019 than it did the year before, mainly because of a decline in the amount of secondary market operations for government bonds, both in cash and sell/buy-backs, which was offset by an increase in operations with collective investment funds (CIFs) and Banco de la República’s operations to increase the money supply (repos). Consequently, the Central Securities Depository (DCV) registered less activity, due to fewer negotiations on the secondary market for public debt. This trend was also observed in the private debt market, as evidenced by the decline in the average amounts cleared and settled through the Central Securities Depository of Colombia (Deceval) and in the value of operations with financial derivatives cleared and settled through the Central Counterparty of Colombia (CRCC). Section three offers a comprehensive look at the market for retail-value payments; that is, transactions made by individuals and companies. During 2019, electronic transfers increased, and payments made with debit and credit cards continued to trend upward. In contrast, payments by check continued to decline, although the average daily value was almost four times the value of debit and credit card purchases. The same section contains the results of the fourth survey on how the use of retail-value payment instruments (for usual payments) is perceived. Conducted at the end of 2019, the main purpose of the survey was to identify the availability of these payment instruments, the public’s preferences for them, and their acceptance by merchants. It is worth noting that cash continues to be the instrument most used by the population for usual monthly payments (88.1% with respect to the number of payments and 87.4% in value). However, its use in terms of value has declined, having registered 89.6% in the 2017 survey. In turn, the level of acceptance by merchants of payment instruments other than cash is 14.1% for debit cards, 13.4% for credit cards, 8.2% for electronic transfers of funds and 1.8% for checks. The main reason for the use of cash is the absence of point-of-sale terminals at commercial establishments. Considering that the retail-payment market worldwide is influenced by constant innovation in payment services, by the modernization of clearing and settlement systems, and by the efforts of regulators to redefine the payment industry for the future, these trends are addressed in the fourth section of the report. There is an account of how innovations in technology-based financial payment services have developed, and it shows that while this topic is not new, it has evolved, particularly in terms of origin and vocation. One of the boxes that accompanies the fourth section deals with certain payment aspects of open banking and international experience in that regard, which has given the customers of a financial entity sovereignty over their data, allowing them, under transparent and secure conditions, to authorize a third party, other than their financial entity, to request information on their accounts with financial entities, thus enabling the third party to offer various financial services or initiate payments. Innovation also has sparked interest among international organizations, central banks, and research groups concerning the creation of digital currencies. Accordingly, the last box deals with the recent international debate on issuance of central bank digital currencies. In terms of the methodological progress that has been made, it is important to underscore the work that has been done on the role of central counterparties (CCPs) in mitigating liquidity and counterparty risk. The fifth section of the report offers an explanation of a document in which the work of CCPs in financial markets is analyzed and corroborated through an exercise that was built around the Central Counterparty of Colombia (CRCC) in the Colombian market for non-delivery peso-dollar forward exchange transactions, using the methodology of network topology. The results provide empirical support for the different theoretical models developed to study the effect of CCPs on financial markets. Finally, the results of research using artificial intelligence with information from the large-value payment system are presented. Based on the payments made among financial institutions in the large-value payment system, a methodology is used to compare different payment networks, as well as to determine which ones can be considered abnormal. The methodology shows signs that indicate when a network moves away from its historical trend, so it can be studied and monitored. A methodology similar to the one applied to classify images is used to make this comparison, the idea being to extract the main characteristics of the networks and use them as a parameter for comparison. Juan José Echavarría Governor

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