Relevant bibliographies by topics / Customers Preference

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

Academic literature on the topic 'Customers Preference'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Customers Preference"

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Tilahun, Minyahel, and Melaku Beshaw. "Customer’s Perception and Preference towards Packaged Drinking Water." Scientific World Journal 2020 (February 29, 2020): 1–11. http://dx.doi.org/10.1155/2020/6353928.

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Two hundred customers were purposively selected from two study areas (market, residence) in Addis Ababa to assess customer’s behavior and perception towards packaged water. The sampling and data collection process of the study followed systematic analysis of Theory Planned Behavior. The average monthly income of respondents of this study lay between 5000 ($175) and 10000 ($350) Eth Birr. The primary customer information sources were television and radio. Residence place customers were more concerned about health as compared to market place customers. Market place customers primarily gave emphasis to the price of packaged water. Almost all (97%) customers were not sentient to packaged water standards. However, only few, 86 (43%), customers checked labeled chemical composition, of which 74 (85%) did not understand it. Customer’s sex, education level, and health status showed significant relationship with choice of packaged water quality, −1.42 (p<0.05); price, −2.45 (p<0.01); and health status, –1.80 (p<0.05) in market place and residence place, respectively. Customers were not well aware of what they were purchasing and even customer’s ability to read was not related to customer’s ability to understand what was written in the labels. Customers’ choice of packaged drinking water has been challenged by their health status. Customers are becoming more concerned about prices while they are out of their residence place.
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Shabbir, Malik Shahzad. "Nexus between customer preference and operation of conventional banks Islamic windows in Pakistan." Journal of Islamic Marketing 11, no. 1 (July 4, 2019): 50–65. http://dx.doi.org/10.1108/jima-03-2018-0063.

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Purpose The purpose of this study is to investigate the nexus between preferences of customers toward operations of Islamic windows from conventional banks. However, financial institution system of any country has a dominant importance for its growth level. This study makes a comparative analysis and nexus among Islamic windows of conventional banks, Islamic and conventional banks. Design/methodology/approach A well-designed questionnaire has been made and distributed among three types of bank customers to get their perception and preference regarding services qualities and operations from all three types of financial institutions. This study used statistical package of social sciences software for data analysis. Findings The results revealed that customers from Islamic windows have serious dispute on its Shariah-compliant regulation and fifty one per cent (51 per cent) of customer did not trust on the member of Shariah board. The mid age of customers preferred the services of Islamic windows, as it has multi-dimensional options for customers. Finally, customers from almost all three types prestigious that technology has found a significant impact for better service qualities and found a positive change in customer behavior. Originality/value This study is a first ever attempt in its nature to investigate that the customer’s preferences and different operations exist in three types of banking system in Pakistan. This study also helps to policymakers regarding customer needs and wants to provide better services.
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Xiao, Y., Y. Cui, N. Raut, J. H. Januar, J. Koskinen, N. Contractor, W. Chen, and Z. Sha. "Information Retrieval and Survey Design for Two-Stage Customer Preference Modeling." Proceedings of the Design Society 2 (May 2022): 811–20. http://dx.doi.org/10.1017/pds.2022.83.

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AbstractCustomer survey data is critical to supporting customer preference modeling in engineering design. We present a framework of information retrieval and survey design to ensure the collection of quality customer survey data for analyzing customers’ preferences in their consideration-then-choice decision-making and the related social impact. The utility of our approach is demonstrated through the survey design for customers in the vacuum cleaner market. Based on the data, we performed descriptive analysis and network-based modeling to understand customers’ preferences in consideration and choice.
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Sharma, Rajesh Shankar, and N. S. Bhalla. "Comparative Analysis of Retail Banking Promotional Measures- A study of customer perception towards promotional strategies adopted by Indian Commercial Banks." Scholedge International Journal of Management & Development ISSN 2394-3378 3, no. 11 (April 2, 2017): 185. http://dx.doi.org/10.19085/journal.sijmd031101.

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In today’s competitive financial world, each financial institution is trying hard to get the maximum share in terms of profit, sales and customers. A customer may be salaried or self employed. Irrespective of the profession, he/she requires banking services like a requirement of loan, services of foreign exchange, safe deposit of money etc. In order to meet and exceed customer’s expectations, Indian banks offer customized banking products. Bank main objective is to get new customer and to retain the existing one. In order to attract new customers, banks are adopting various promotional measures like sales promotion, advertising, personal selling and publicity. Which promotional measure is the most striking one and is liked by customers, poses a big question mark? In order to study the most preferred promotional measure, a survey is being conducted to know the customer preference. 50 customers, each from Axis Bank and IndusInd Bank, are selected for study. The outcome was astonishing as the customers of Axis Bank gives preference to public relation and customers of IndusInd bank gives preference to effective advertising.
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Jang, Minseok, Hyun-Cheol Jeong, Taegon Kim, and Sung-Kwan Joo. "Load Profile-Based Residential Customer Segmentation for Analyzing Customer Preferred Time-of-Use (TOU) Tariffs." Energies 14, no. 19 (September 26, 2021): 6130. http://dx.doi.org/10.3390/en14196130.

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Smart meters and dynamic pricing are key factors in implementing a smart grid. Dynamic pricing is one of the demand-side management methods that can shift demand from on-peak to off-peak. Furthermore, dynamic pricing can help utilities reduce the investment cost of a power system by charging different prices at different times according to system load profile. On the other hand, a dynamic pricing strategy that can satisfy residential customers is required from the customer’s perspective. Residential load profiles can be used to comprehend residential customers’ preferences for electricity tariffs. In this study, in order to analyze the preference for time-of-use (TOU) rates of Korean residential customers through residential electricity consumption data, a representative load profile for each customer can be found by utilizing the hourly consumption of median. In the feature extraction stage, six features that can explain the customer’s daily usage patterns are extracted from the representative load profile. Korean residential load profiles are clustered into four groups using a Gaussian mixture model (GMM) with Bayesian information criterion (BIC), which helps find the optimal number of groups, in the clustering stage. Furthermore, a choice experiment (CE) is performed to identify Korean residential customers’ preferences for TOU with selected attributes. A mixed logit model with a Bayesian approach is used to estimate each group’s customer preference for attributes of a time-of-use (TOU) tariff. Finally, a TOU tariff for each group’s load profile is recommended using the estimated part-worth.
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Zdziebko, Tomasz. "E-Commerce Customers’ Preference Implicit Identification." Folia Oeconomica Stetinensia 11, no. 1 (January 1, 2012): 33–46. http://dx.doi.org/10.2478/v10031-012-0024-7.

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Abstract Knowledge of users’ preferences are of high value for every e-commerce website. It can be used to improve customers’ loyalty by presenting personalized products’ recommendations. A user’s interest in a particular product can be estimated by observing his or her behaviors. Implicit methods are less accurate than the explicit ones, but implicit observation is done without interruption of having to give ratings for viewed items. This article presents results of e-commerce customers’ preference identification study. During the study the author’s extension for FireFox browser was used to collect participants’ behavior and preference data. Based on them over thirty implicit indicators were calculated. As a final result the decision tree model for prediction of e-customer products preference was build.
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Manjushree, S. "Customer Preference towards Use of ATM Services." ComFin Research 8, no. 4 (October 1, 2020): 23–27. http://dx.doi.org/10.34293/commerce.v8i4.3290.

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Automated teller machines have altered the relationship between banks and their customers and competitive relationships among banks. ATMs are self-service vendor machine it permits customers to do anywhere, anytime banking both the bank and customers stand to gain in several ways. In contrast, ATMs bring down the cost per transaction, increase efficiency by reducing the workload of staff, they help to increase accuracy, speed, save time, money and effort of customers. Thus ATM impacts customer services and leads to better customer satisfaction. They enable the bank to transact more business by offering various services in a cost-effective way on one side and to get more customer satisfaction on the other. To analyze the relationship between demographic variables and preferences to use ATM, a structured questionnaire was used to collect the data from a random sample of 50 customers from a syndicate bank in Bhadravati, percentage analysis and chi-square test are applied for data analysis and interpretation. Finally, it attempts to offer suitable suggestions and conclusions to enhance the awareness of ATMs and other related modern services provided by the banks.
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Barton, S. S., J. R. Brooker, C. R. Hall, and S. C. Turner. "Review of Customer Preference Research in the Nursery and Landscape Industry." Journal of Environmental Horticulture 16, no. 2 (June 1, 1998): 118–24. http://dx.doi.org/10.24266/0738-2898-16.2.118.

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Abstract This paper outlines current, descriptive information about the retail plant customer's profile and identifies information needed to complete the profile as well as areas for continued research. Demographic studies that characterize the retail customer base vary with regional market and product lines included in the study. Mass merchandisers attract lower income customers; large, multiple outlet garden centers attract unmarried customers with higher incomes and greater value homes; and independent garden centers attract married, white females. Multiple studies support the conclusion that customers select outlets based primarily on plant quality and selection. Product quality is also the most important characteristic used by retailers when selecting a supplier. Location, price and professional staff also affect outlet selection. Mass merchandisers are selected for familiar, low-risk purchases, while independent garden centers are used for major purchases, when information is desired. The availability of trained, professional sales help is the service most desired by customers. Customers prefer to receive information in the garden center from professional staff and from nursery care tags. Customers prefer to purchase shrubs in containers. In one study, customers preferred to purchase balled and burlapped trees, while in another study trees were preferred in containers. Landscape architects prefer to purchase balled and burlapped plants.
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Ho, Zih Ping, and Tzu Ning Pan. "Manufacturing and Production Collaborative Customers Preference." Applied Mechanics and Materials 307 (February 2013): 506–9. http://dx.doi.org/10.4028/www.scientific.net/amm.307.506.

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Modern manufacturing involved many productions’ constraints and corporation’s objectives. This study tries to considering manufacturing process with customer preference modification; beside, takes convenience stores producing thawing and heating prepared (THP) food for an example. The study constructed a THP diversity with customer preference selection model. Two distribution data of customer behavior were introduced to design parameters of customer preference indicators. Through computer system simulations, the results showed it would increase the profits if manufacturing process considering customers preference. However, it may result in different profits if some of the assumptions are revised. Future research suggests applying this model to others industries.
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Hu, Tun-I., and Andrea Tracogna. "Multichannel search patterns and webrooming behaviours in the service industries: the case of motor insurance." Italian Journal of Marketing 2021, no. 1-2 (March 8, 2021): 57–81. http://dx.doi.org/10.1007/s43039-021-00021-0.

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AbstractThis article aims at analysing the empirical categories and the main determinants of channel choices in the contractualized individual services category, with particular reference to multichannel search patterns and webrooming behaviours, whereby customers search online but purchase offline (namely, at the service provider’s premises). Based on an international survey of motor insurance customers, a set of hypotheses on the determinants of customers’ shopping journeys, inclusive of search and purchase channel decisions, have been tested with a multinomial logistic regression. Our results show that channel choices—both relative to search and to purchase—are significantly influenced by the customer’s preference for personal interaction (which typically favours the personal, offline, channels); overall, the relevance of channel choice determinants differs in the different shopping phases: indeed, while the search patterns (mono vs. multiple; digital vs. personal) are mainly determined by the customer need for information and by her/his preference for shopping innovation and enjoyment, the purchase channel choices are mainly driven by the customer’s preference for service quality (personal purchase) and by his/her price consciousness (digital purchase). In particular, webrooming behaviours occur when a less price-conscious customer, after having actively explored multiple channels to satisfy the appetite for information, eventually prefers to purchase the service at the provider’s physical store (i.e. the insurance agent) to satisfy his/her preference for personal interaction and service quality. These results shed light on multichannel behaviours in service industries and may help providers better inform the retail strategies of contractualized individual services.
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Dissertations / Theses on the topic "Customers Preference"

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Sapatapu, Vedasree Reddy, and Apoorva Kothapally. "Modeling and understanding customers preference for product sustainability information using Machine Learning techniques." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21963.

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Background. Markets nowadays are increasingly competitive as many companies are focusing themselves on minimising their churn rate and maximising their growth rate of customers. Therefore, it is useful to understand the product preferences from the customers’ perspective which could help the companies to learn their products’ most attractive components. A similar approach can be used in terms of sustainability information, where sustainability in terms of products refers to the making of the products out of materials that are easily available and processed [42]. It might be the case that customers with limited knowledge are unaware of the product’s additional sustainability components and that this information would be interesting to them. Hence, the companies can expand their information or present it in a more easily perceiving form to increase customer’s awareness about the product’s sustainability attributes. Objectives. Firstly perform a literature review to select the appropriate data mining (DM) technique required to build a preference model for existing customers. Next, experiment to compare the machine learning (ML) algorithms and choose the appropriate algorithm best suited for the current data to build a predictive preference model. Later, analyse whether the preference models built in this research project show consistent patterns in customer data. Methods. To have a better understanding of the DM and ML techniques for modelling and predicting customer preferences, a literature review was conducted. With the use of an unsupervised learning approach, the different customers’ common behaviours and deviating behaviours were modelled. Additionally, analysing the models helped in understanding how customers behave concerning different products. Results. The Literature Review indicated k-medoid as a suitable algorithm for clustering customers and the experimental results indicated that the K-Nearest Neighbours (KNN) is a better performing classification algorithm based on accuracy. The outcome from modelling the customer preferences towards sustainability are analysed. The results indicated that the data mining and machine learning techniques are capable of modelling the sustainability preferences of customers. Additionally, the comparison between the cluster solutions provided useful information about customer behaviour patterns. Conclusions. The main goal of this study was achieved by proposing an approach that can model the common and deviating preference behaviours of the customers in terms of sustainability. This type of analysis is helpful for the companies in understanding their customers’ preferences towards sustainability which in turn helps them in building more sustainable products.
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Baker, Melissa. "Service behaviors and time preferences of rural and urban restaurant customers." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/33005.

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Do customers in rural and urban markets want the same thing from a restaurant server? While researchers have stressed the importance of sub-culture and made the call for empirical research, few studies have incorporated sub-culture into their research, especially within the hospitality industry. Empirically measuring the differences in sub-culture, may be especially important for restaurant operators as they serve and employ a myriad of different customers in different markets. One under researched yet critical way is through a better understanding of the importance of customer contact employeesâ behavior. Understanding the importance customers place on standard restaurant wait staff behaviors and time standards may be critical to earning customers satisfaction and patronage, yet few studies have empirically examined this. Developing enhanced ways of understanding how to adapt service delivery behavior to the values of major cultural groups can be extremely beneficial to hospitality managers. This study attempts to close these gaps by investigating the influence of sub-culture on consumer perceptions of behavioral and timing dimensions in a casual, full-service restaurant setting, through methodological sampling concentrating on two main sub-cultural groups: rural and urban restaurant patrons. Results indicated that sanitation and accommodation were the most important behavioral dimensions for both groups. The level of server responsiveness, friendliness, and knowledge were statistically different for the rural and urban samples. Results suggest that casual restaurant wait staff need to tailor service behavior by accommodating and customizing to the cultural and sub-cultural based guest needs in order to maintain a competitive advantage in satisfying customers. This study also demonstrates theoretical and managerial implications and suggests that further research is needed to investigate differences across other hospitality settings.
Master of Science
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Jenkins, Morgan. "Increased knowledge about floral preservatives influences customers’ perception of the quality and value of a floral arrangement purchase." Kansas State University, 2010. http://hdl.handle.net/2097/6986.

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Master of Science
Department of Horticulture, Forestry, and Recreation Resources
Kimberly A. Williams
Despite extensive evidence that appropriate use of floral preservatives extends postharvest longevity of most fresh flowers, their use by traditional full-service florists has been observed to be highly variable. This research was developed to determine if knowledge about floral preservatives increases consumers’ perception of quality, purchase intention, and price of a floral arrangement. A survey was administered to 222 participants at two locations in Manhattan, Kansas during April 2010. Seventy-three percent of respondents fell within the age range of Gen Y. The survey instrument contained four levels of presentation of a floral arrangement that were associated with increasing knowledge about the use of a floral preservative on consumers’ perceptions about the quality and price of that arrangement. Results were analyzed via within-subjects ANOVA, Bonferroni post-hoc tests, t-tests, and regression analyses. Participants of the survey rated the quality of a floral arrangement higher from Level 2 (presence of floral preservative not explicit) to 3 (presence of floral preservative explicit) and Level 3 to 4 (after reading 191 word count message about floral preservative function and effectiveness). Their intent to purchase the floral arrangement generally increased with each level of presentation. Participants increased the price that they were willing to pay for the floral arrangement at each level of presentation, starting at $25.49 at Level 1 (no floral preservative use indicated) to $29.17 at Level 4. Participants were more knowledgeable about the benefits of floral preservatives and believed that floral preservatives increased the value of floral arrangements after reading a message describing their function and effectiveness more so than before reading the message. Younger participants were more willing to pay more for floral arrangements with floral preservatives than older participants. As consumers become more aware of the use of floral preservatives and more knowledgeable about how and why they are effective, they attribute higher quality to floral arrangements with preservatives, are willing to pay more for arrangements with preservatives, and their purchase intention frequency increases. Florists should consider providing a message about the function and effectiveness of floral preservatives to their customers, and then market their use of these materials.
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Baosuwan, Kunthorn. "The study to determine customers preference of using claims system via the internet at National Insurance Company Limited, Thailand." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2939.

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Untachai, Subchat. "The effect of store name, brand name and store atmosphere on customers' perceived quality-value and store preference in the Udon Thani region of Thailand." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2007. https://ro.ecu.edu.au/theses/259.

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The current study was designed to provide a quantitative measure of the influence of store name, brand name, and store atmospherics on retail preference in a study of the retailing industry in Udon Thani province, Thailand. The objectives of this study are twofold, (I) to examine the extent to which perceived store value is related to store preference, and (2) to examine the relationship between perceptions of store name, brand name, store atmospherics, and store value. The research included a pilot test using undergraduate business students in Rajabhat Institute, Udon Thani for pretesting of the questionnaire items. Following this, the investigation into store image attributes and store value perceptions necessitated uncovering variables of interest. To do this a large-scale field study was conducted. The study consisted of surveying 430 households in Udon Thani province and 310 households in Khon Khaen province using a structured questionnaire. Respondents were asked to rate, on a seven-point semantic differential and Likert scale, their agreement or disagreement on various store image attributes. L1SREL 8.30 was used for data analysis since the proposed model is a simultaneous system of equations having latent constructs and multiple indicators. Further quantitative techniques, such as factor analysis, correlation, multiple regression, and chi-square, were also employed. The study found that consumers' perceived quality-value mediates the effects of perceived brand name and store atmospherics on store preference (behavioural intention to buy). In addition, consumers' perceived brand name has a more significant influence than store atmospherics on perceived quality-value. However, store atmospherics has a more significant role in influencing consumers' store preference than does consumers' perceived brand name.
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Li, Pu. "Customer relationship management : a research framework for investigating how customers' detailed preferences are learned and recorded /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?ISMT%202005%20LI.

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Sandqvist, Isabelle, and Stina Skovshoved. "Customer Value Driven Service Innovation : Identifying service opportunities in the residential heating market based on customers´ value preferences." Thesis, Linköpings universitet, Projekt, innovationer och entreprenörskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138624.

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In today´s industry there is an ongoing trend, where many companies are shifting focus from only delivering products to also offering services to their customers. Services can bring advantages, such as higher margins, competitive advantage, stabilized cash flow and strengthened customer relationships. A company that traditionally has had a strong product focus, but where services now have attracted their attention is Bosch Thermoteknik AB, active as a manufacturer in the heat pump business. In the market, which has been more and more competitive and where customer requirements are extended, it could be difficult for the company to only build on technical innovations. The aim of this thesis is thus to identify service opportunities in the heat pump business based on a customer value perspective, and proposals of how integrated service concepts may look like for Bosch Thermoteknik AB are presented. To answer the purpose, 12 semi-structured customer interviews were performed in order to identify factors contributing to customer value in the business of residential heating. Additionally, an investigation of what kind of services that are offered in the heating market was performed in order to contribute to inspiration for integrated service solutions for Bosch Thermoteknik AB. The customer interviews show that the most important value dimensions to customers are a reliable heat pump operation generating desired comfort, a system that manage itself and not require time and effort to manage, a high quality product and low operation and investment costs. Additionally, customers value knowledge to be able to handle the system in order to reach their expectations on the heating system. Many of the identified values are fulfilled to customers, however not always the latter example, especially not to those who move in to their first house where there is a heat pump installed. Regarding the investigation of different concept in the market, leasing of boilers, pay per heat unit, monitoring contracts, customer education and heat analysis where all found and contributed with inspiration in the study. The leasing concept and pay for heat were mainly marketing as an escape of a high investment cost, but since the investment cost was not seen as a big barrier for customers in this study and they were rather afraid to lose money in the long run, these solutions were not included in the recommendations for Bosch Thermoteknik AB. However, customers agreed that both solutions have advantages, such as get rid of hassles and risks especially regarding unpredictable costs. Three concept proposals were finally selected, which are Nyinflyttad, Tryggheten och Säkerställan. The first concept, Nyinflyttad, aims to give new house owners a secure feeling, where they helped by a service and education, get information of the condition of the system and get knowledge about how to handle it. Tryggheten, is rather targeting customers who need a new heat pump. Customers are here offered extended monitoring indicating problems in an early stage and additionally they are offered guidance to do easier measurements themselves. In the last concept proposal, Säkerställaren, customers are offered a heat analysis, in connection to the heat pump purchase, in order to take a more holistic perspective on the heating included both the heat pump and identification of heat loses from the house. Important to mention is that these proposals are only first drafts and there are still many aspects to investigate, not least the economic aspect as well as the organizational aspect, in order to provide the services.
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Wilson-Jeanselme, Muriel Annie. "Towards understanding Internet loyalty through customer preference structures." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:a6ead1e8-3743-48a1-9df8-4a536e4f83e7.

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This research is an exploration of how the capabilities of the Internet may have influenced customer preference structures and how these influences may, in turn, have affected loyalty behaviours. These relationships are explored from both customers’ and companies’ perspectives. A theoretical model is developed which comprises four main components. These are (1) pre-purchase preference structures; (2) post-purchase preference structures (3) the Internet channel and (4) loyalty behaviours. The Internet channel is shown as having a modifying effect on pre- and post-purchase preference structures, which in turn relate to influences in loyalty behaviours. From the customer’s perspective the theoretical model was quantitatively tested by developing pre- and post-purchase preference structures from a choice-based conjoint experiment on a sample of online and offline grocery shoppers. The results showed that these preference structures differed significantly on a number of attributes. The theoretical model was further tested by linking the utility values from the choice-based conjoint experiment to loyalty variables in a structural equation model. The results showed that the theoretical model needed adjustment to fit the underlying data. The offline shoppers’ group model had a better fit to the data than did the online group. The company perspective was developed through a longitudinal study of four U.K. companies in different industries. The qualitative data collected in these studies was compared and contrasted with the theoretical model. The emergent pattern within this analysis showed that companies with a strong understanding of customer preference structures in a traditional marketing channel, was no guarantee that the capabilities of the Internet would be used to strengthen performance on those preferences. One common theme that emerged from interviews with companies was that those who rapidly developed new levels of performance on customer preferences using the capabilities of the Internet had made the Internet a major component of their business model. The qualitative data showed companies as either adopting a transactional or an informational approach to their Internet channel strategy with radically different implications for their business models.
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Herbst, Ruben Andreas. "Customer preferences with regard to milk packaging." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/15967.

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The milk industry in the Eastern Cape is very competitive and milk suppliers must use all means, including packaging, to influence buying behaviour. The aim of the study was to investigate customer preferences with regard to milk packaging in the Nelson Mandela Bay (NMB) area. The purpose was to develop a better understanding of customer preferences so that packaging could be designed to satisfy customer expectations and needs. The research design was based on a quantitative approach (non-experimental) and the study was descriptive in nature. The measuring instrument was a self-developed questionnaire, which was developed based on the literature study and previous empirical studies conducted by Adam and Ali (2014a) and Ahmed, Pumar and Amin (2014). The sample consisted of 199 adult shoppers in the Nelson Mandela Bay area, selected through snowball and quota sampling. Data was collected with the help of fieldworkers, coded into Microsoft Excel and processed with statistical software. Descriptive statistics and canonical correlation analysis were used to identify customer preferences and relationships between the different dimensions of milk packaging. The results revealed that size, materials, convenience in handing and product information (expiry date) were important. Colour and design were not regarded as important by the target group.
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Marková, Kateřina. "Analýza zákaznických preferencí ve vztahu k produktům a službám společnosti REX Controls, s.r.o." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264311.

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A topic of this thesis is an analysis of customer preferences in relation to products and services of the company REX Controls s.r.o. that focuses mainly on industrial automation and control systems. The goal of this thesis is to find preferred attributes when acquiring a control system and determine a level of customer satisfaction and loyalty. Product attributes are determined by conducting semi-structured interviews. Analysis of customer preferences is based on a consumer research. Within the survey are involved two groups of experts on automation and regulation. Evaluation of the collected data is performed by using statistical tools. The results of the analysis and formulated recommendations for the company, which could help to achieve its objectives, are discussed in the conclusion part.
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Books on the topic "Customers Preference"

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Russell, Cheryl. Best Customers: Demographics of Consumer Demand (Best Customers). 3rd ed. Ithaca, N.Y. : USA: New Strategist Publications, 2004.

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Best customers: Demographics of consumer demand. 2nd ed. Ithaca, N.Y: New Strategist Publications, 2001.

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Russell, Cheryl. Best customers: Demographics of consumer demand. Ithaca: New Strategist, 1999.

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Mukherji, Sourav. Managing customer knowledge in retail environment. Bangalore: Indian Institute of Management, 2007.

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Sean, Kelly. Customer Intelligence. New York: John Wiley & Sons, Ltd., 2006.

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R, Lehmann Donald, ed. Managing your customers as investments: The strategic value of customers in the long run. Upper Saddle River, NJ: Pearson Education, 2005.

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Woodruff, Robert B. Know your customer: New approaches to customer value and satisfaction. Cambridge, Mass., USA: Blackwell Business, 1996.

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Böttger, Tim Michael. Customer Preferences of Very Light Jet Air Taxi Operators. Zurich: DIKE, 2009.

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Sheth, Jagdish N. Customer behavior: Consumer behavior & beyond. Fort Worth, TX: Dryden Press, 1999.

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Ten key customer insights: Unlocking the mind of the market. Mason, OH: Thomson, 2005.

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Book chapters on the topic "Customers Preference"

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Fuad, Ahmed, Mukhtar Al-Hashimi, and Allam Hamdan. "Innovative Technology: The Aviation Industry and Customers Preference." In Advances in Intelligent Systems and Computing, 696–707. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44289-7_65.

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Saleh, Mohamed Adel, Abdolkarim Abootaleb Abbasi, Ali Ahmad Al Falasi, Mohammad Bader Almheiri, and Abdelghani Echchabi. "Customers’ Preference and Selection of Takaful Insurance Products: The UAE Case." In Contemporary Research in Accounting and Finance, 217–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8267-4_9.

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Fuad, Ahmed, Mukhtar Al-Hashimi, and Allam Hamdan. "The Impact of Innovative Technology on the Aviation Industry and on Customers Preference." In The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, 57–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62796-6_3.

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Liu, Chun, and Kam Hung. "Self-service Technology Preference During Hotel Service Delivery: A Comparison of Hoteliers and Customers." In Information and Communication Technologies in Tourism 2020, 267–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36737-4_22.

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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, 45–49. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16976-7_12.

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Zain, M. A., and R. D. Astuti. "The role of marketing 4.0 elements, customer satisfaction, loyalty intentions, and religious brand preference among Indonesian Muslim woman customers of local modest fashion brands." In Contemporary Research on Management and Business, 127–31. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003295952-33.

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Kim, Jonathan S., and Koichi Ichitsubo. "An Examination of Preference Structures of Japanese and Non-Japanese Customers for Bank Branches in an Era of Transition." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 417–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17323-8_92.

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Pettigrew, S. "Older Consumers’ Customer Service Preferences." In The Silver Market Phenomenon, 257–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75331-5_17.

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Ancarani, Alessandro, Carmela Di Mauro, Francesco Mascali, and Liborio La Marca. "Customers’ Preferences in Municipal Waste Services Procurement." In International Public Procurement, 129–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13434-5_6.

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Márkus, András, and József Váncza. "Product Line Design with Customer Preferences." In Engineering of Intelligent Systems, 846–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45517-5_93.

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Conference papers on the topic "Customers Preference"

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Afshari, Hamid, Qingjin Peng, and Peihua Gu. "An Agent-Based Method to Investigate Customers’ Preference in Product Lifecycle." 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/detc2013-13415.

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Consumer requirements for products vary dynamically based on the change of technologies, social influence, individual taste, etc. A sustainable product should meet customer requirements in its lifecycle. Different methods and techniques have been proposed to find possible changes of product needs or customers’ preferences. This paper introduces an agent-based technique to address the change of product requirements. Major contribution of the proposed method is to embed customers’ preference in the analysis of product performance using agent interactions. Using the combination of Quality Function Deployment (QFD), agent-based modeling and data mining methods, customers’ preference trends related to elements and functions of product are simulated. The prediction period is flexible based on estimated product lifecycle. The proposed method is compared with other techniques in a case study.
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Cao, Dongxing, Karthik Ramani, Zhanjun Li, Victor Raskin, Ying Liu, and Zhanwei Li. "Developing Customer Preferences for Concept Generation by Using Engineering Ontologies." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28499.

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As customer preference is viewed as a reflection of desires for product features and even future product opportunities, it is crucial for the generation of design concepts. In this paper, a six-stage methodology is described for developing customer preference by using engineering ontology. The methodology mainly focuses upon understanding the product domain knowledge and preference concepts. A modeling process of the preference ontology for searching, indexing, and retrieving domain knowledge is described. The taxonomies of the customer preferences are elicited by classifying specific concepts. The definition of preference concepts and their ontological relationships are extracted. The objective is to allow product designers to generate customer preference ontologies for their specific products. At first, the documents or catalogs of design requirements are normalized by using ontology-based semantic representation. Design specification formalization is required for system input. A model of preference elicitation from customers is proposed based on ontology knowledge for concept generation. Secondly, the attributes of the customer preferences are classified by identifying the root concepts and developing a kind of preference taxonomy as well as their relationships to each other. They are mapped to engineering ontologies for driving high-level preference concept generation. A customer preference knowledge modeling is developed to construct a thesaurus for preference terms within the domain ontology. Finally, the evaluation and analysis are given to describe the validity of concept generation from customer preferences.
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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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Fu, J. Sophia, Zhenghui Sha, Yun Huang, Mingxian Wang, Yan Fu, and Wei Chen. "Two-Stage Modeling of Customer Choice Preferences in Engineering Design Using Bipartite Network Analysis." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68099.

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Customers’ choice decisions often involve two stages during which customers first use noncompensatory rules to form a consideration set and then make the final choice through careful compensatory tradeoffs. In this work, we propose a two-stage network-based modeling approach to study customers’ consideration and choice behaviors in a separate but integrated manner. The first stage models customer preferences in forming a consideration set of multiple alternatives, and the second stage models customers’ choice preference given individuals’ consideration sets. Specifically, bipartite exponential random graph (ERG) models are used in both stages to capture customers’ interdependent choices. For comparison, we also model customers’ choice decisions when consideration set information is not available. Using data from the 2013 China auto market, our results suggest that exogenous attributes (i.e., car attributes, customer demographics, and perceived satisfaction ratings) and the endogenous network structural factor (i.e., vehicle popularity) significantly influence customers’ decisions. Moreover, our results highlight the differences between customer preferences in the consideration stage and the purchase stage. To the authors’ knowledge, this is the first attempt of developing a two-stage network-based approach to analytically model customers’ consideration and purchase decisions, respectively. Second, this work further demonstrates the benefits of the network approach versus traditional logistic regressions for modeling customer preferences. In particular, network approaches are effective for modeling the inherent interdependencies underlying customers’ decision-making processes. The insights drawn from this study have general implications for the choice modeling in engineering design.
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Wei, Ran, and Justin Zhan. "Improved Customers' Privacy Preference Policy." In 2007 IEEE International Conference on Granular Computing (GRC 2007). IEEE, 2007. http://dx.doi.org/10.1109/grc.2007.4403207.

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Wei, Ran, and Justin Zhan. "Improved Customers' Privacy Preference Policy." In 2007 IEEE International Conference on Granular Computing (GRC 2007). IEEE, 2007. http://dx.doi.org/10.1109/grc.2007.129.

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Rai, Rahul. "Identifying Key Product Attributes and Their Importance Levels From Online Customer Reviews." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70493.

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Identifying customer needs and preferences is one of the most important tasks in design process. Typically, a variation of interview based approaches is used to conduct need and preference analysis. In this paper, a new approach based on text mining online (internet based) customer reviews to supplement traditional methods of need and preference analysis is considered. The key idea underlying the proposed approach is to partition online customer generated product reviews into segments that evaluate the individual attributes of a product (e.g zoom capability and support of different image formats in a camcorder). Additionally, the proposed method also identifies the importance (ranking) that customers place on each product attributes. The method is demonstrated on 100 customer reviews submitted for camcorders on epinions.com over a two year period.
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Isnurhadi, Fida Muthia, Marlina Widiyanti, and Sulastri. "Customers’ Preference in Choosing Islamic Banks." In 5th Sriwijaya Economics, Accounting, and Business Conference (SEABC 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200520.035.

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Naranjo, Sara, Vidya Patil, and Vijitashwa Pandey. "Preference Aggregation in Lifecycle Decision Making." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59599.

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Rapid innovations in technology lead customers to frequently upgrade to new products. Their current products, now obsolete in terms of technology, aesthetic features and performance, leave behind an ecological footprint that is harmful to the environment. Product take-back systems and remanufacturing methods that promise to minimize the environmental impact are gaining attention among researchers and practitioners in the manufacturing field. A common objective is to find the best option for end of lifecycle (EOL) decisions on whether a product and the components comprising it should be reused, recycled, remanufactured, or disposed. These decisions must entail proper analysis while taking into account customer preferences, which can vary considerably from customer to customer. Mass customization, considered a plausible solution for this problem, is not viable model for many products. In this paper, therefore, we approach this problem from a preference aggregation perspective, particularly, the benevolent dictator model. Using this understanding of aggregated preferences, we address the take-back and possible remanufacturing of products. Once collected, it is questioned whether efficiency enhancing new technology or features should be added in take-back products to improve its performance or add any value. If that is the case, will these remanufactured products, with new technology or features, help in cost-effectively reducing the lifecycle environmental impact of the product, compared to a remanufactured product with original specifications? A home HVAC system was selected to exemplify the design and reuse problem, and show the benefit of favoring environmentally conscious customers in lifecycle decision making.
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Razu, Swithin S., and Shun Takai. "An Approach to Modeling Customer Preference Uncertainty by Applying Bootstrap to Choice-Based Conjoint Analysis Data." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28231.

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Analysis of customer preferences is among the most important tasks in a new product development. How customers come to appreciate and decide to purchase a new product affects the products market share and therefore its success or failure. Unfortunately, when designers select a product concept early in the product development process, customer preference response to the new product is unknown. Conjoint analysis is a statistical marketing tool that has been used to estimate market shares of new product concepts by analyzing data on the product ratings, rankings or concept choices of customers. This paper proposes an alternative to traditional conjoint analysis methods that provide point estimates of market shares. It proposes two approaches to model market share uncertainty; bootstrap and binomial inference applied to choice-based conjoint analysis data. The proposed approaches are demonstrated and compared using an illustrative example.
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Reports on the topic "Customers Preference"

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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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