Journal articles: 'Segmentation de service'

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Sell, Anna, Pirkko Walden, and Christer Carlsson. "Segmentation Matters." International Journal of Systems and Service-Oriented Engineering 2, no. 3 (July 2011): 1–17. http://dx.doi.org/10.4018/jssoe.2011070101.

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Despite the penetration of mobile phones in the world the number of mobile services in actual use is – besides voice calls and SMS – rather few. In the study at hand, the authors describe users of mobile phones and mobile services and build the basis for segmentation of the consumer market based on a large random sample of the population. Selecting the correct segmentation base is one of the key steps in any segmentation procedure. The authors carried out life-style segmentation and found five segments – the skillful, the efficient, the trendy, the basic and the social – which offer a systematic description of the mobile consumers, and gives insight on how different users make use of mobile services. The findings are potentially important as mobile service providers do not appear to pay enough attention to consumer segments and the needs of the mobile service users.

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Boshoff, Christo, and Deon Nel. "The influence of demographic variables on service quality perceptions in three selected service industries." South African Journal of Business Management 23, no. 3/4 (December 31, 1992): 69–74. http://dx.doi.org/10.4102/sajbm.v23i3/4.888.

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Despite reservations about the use of demographic variables for market segmentation purposes it is a method which is widely used. Although this was not a segmentation study as such, the extent to which service quality perceptions are influenced by demographic variables has been investigated. It is believed that if demographic variables are found to influence service quality perceptions, they may serve as important pointers to the marketers of services when considering segmentation strategies. The empirical results revealed that both age (p 0.05) and level of education (p 0.01) exert a significant influence on consumers' perceptions of service quality. Younger consumers and relatively well-qualified consumers rate service quality lower than do older consumers and consumers who are not particularly well qualified academically. Both younger and well qualified consumers could be important target markets to services marketers in delivering quality service.

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Khodijatunnuriyah, Siti, and Hasih Pratiwi. "Klasifikasi Jenis Pencabutan Layanan oleh Pelanggan Indihome Menggunakan Metode Chi-Square Automatic Interaction Detection." Indonesian Journal of Applied Statistics 2, no. 2 (December 27, 2019): 80. http://dx.doi.org/10.13057/ijas.v2i2.34526.

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Market segmentation is a classic topic in marketing which is never loss its attractiveness. In addition to market segmentation, customer satisfaction is important in the field of marketing. Customer satisfaction is a person's feelings after using goods or services produced by a company. High customer satisfaction shows a company's success in producing goods or services. Statistics provides many tools for segmentation research. One of statistical tool for segmentation research which takes the dependency method as an approach is Chi-Squared Automatic Interaction Detection (CHAID) analysis. CHAID analysis would provide decision tree like diagram which provide information about degree of association from dependent variable to the independent variables and the information about segments characteristic. In this case, the CHAID analysis is used to determine the type of service revocation segmentation by Indihome customers. Based on CHAID analysis, 25 segmentations were obtained, which consisted of revocation of the downgrade category of 45314 customers and the number of revocation of the Churn Out category by 11137 customers.Keywords : market segmentation, customer satisfaction, CHAID, Indihome

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Bolton, Ruth N., and Matthew B. Myers. "Price-Based Global Market Segmentation for Services." Journal of Marketing 67, no. 3 (July 2003): 108–28. http://dx.doi.org/10.1509/jmkg.67.3.108.18655.

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In business-to-business marketing, managers are often tasked with developing effective global pricing strategies for customers characterized by different cultures and different utilities for product attributes. The challenges of formulating international pricing schedules are especially evident in global markets for service offerings, where intensive customer contact, extensive customization requirements, and reliance on extrinsic cues for service quality make pricing particularly problematic. The purpose of this article is to develop and test a model of the antecedents of business customers’ price elasticities of demand for services in an international setting. The article begins with a synthesis of the services, pricing, and global marketing literature streams and then identifies factors that account for differences in business customers’ price elasticities for service offerings across customers in Asia Pacific, Europe, and North America. The findings indicate that price elasticities depend on service quality, service type, and level of service support and that horizontal segments do exist, which provides support for pricing strategies transcending national borders. The article concludes with a discussion of the managerial implications of these results for effective segmentation of global markets for services.

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Nishimatsu, Ken, and Akiya Inoue. "User Intent-Based Segmentation Analysis for Internet Access Services." International Journal of Strategic Decision Sciences 14, no. 1 (February 24, 2023): 1–21. http://dx.doi.org/10.4018/ijsds.318643.

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The Internet is available for almost all homes in Japan. During the diffusion stage of Internet access services, it was important to construct a model to evaluate the sensitivity for Internet access service attributes and estimate user service choice behavior to consider service sale strategies. However, as the demand for Internet access services reached saturation, the differences in service attributes among service providers became smaller, making it difficult to decide service sale strategies using conventional choice behavior models. Therefore, the purpose of this paper is to establish a method for extracting effective information for service sale strategies by focusing on user intentions and clarifying the differences in future intentions for current carriers or services with observable and unobservable factors concerned with user intention. The authors propose a framework for user intent-based segmentation to understand the current market structure and develop appropriate service sales strategies for each segment.

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Sánchez-Pérez, Manuel, Raquel Sánchez-Fernández, Gema M. Marín-Carrillo, and Juan C. Gázquez-Abad. "Service Quality in Public Services as a Segmentation Variable." Service Industries Journal 27, no. 4 (June 2007): 355–69. http://dx.doi.org/10.1080/02642060701346771.

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N., VEDMID, BOIKO M., and ROMANCHUK L. "MARKETING TECHNOLOGIES OF CONSUMERS SEGMENTATION OF RESORT AND RECREATIONAL SERVICE." Herald of Kyiv National University of Trade and Economics 138, no. 4 (September 10, 2021): 91–100. http://dx.doi.org/10.31617/visnik.knute.2021(138)07.

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Background. Using marketing technologies to segment consumers is a key resource for actively and quickly responding to consumer needs. Segmentation allows to identify differences in the response of consumers to services, implement the targeted marketing principles, develop a range of services in accordance with the consumers needs. The aim of the paper is to studydevelopment of methodological foundations of marketing technologies for consumers segmentation, taking into account the key features of resort and recreational services, which ensure scientific approaches development to consumer segments assessment and allows proactively adjusting the offer of resort and recreationnal services, especially during periods of seasonal fluctuations. Materials and methods. The theoretical and methodological basis of the article are the results of theoretical and applied research of Ukrainian and foreign scientists on consumer segmentation. The behavioral method was used to analyze consumer behavior and needs. Special methods for ratings, sample observations, comparative analysis, grouping based on the use of general and special Google Analytic software, CoSchedule were used. Results. The problem of effective segmentation of consumers of resort and recreational services is very important in a situation of aggravated competition for the consumer, since the definition of target segments is the basis for the formation of effective and targeted marketing activities. The expediency of using the VALS model has been proven. The VALS model is proposed to be improved by adding a stage that allows to determine the level of customer satisfaction with resort services based on the CSAT Composite Customer Satisfaction Score method. This method allows to determine the compliance of the received services with the expectations of consumers and to identify the level of service processes. The driver of the effective impact of marketing communications on consumer segments is digitalization. This is manifested in the creation of an immersive environment for a resort and recreation enterprise. This is due to the fact that immersive environment simulators offer a personalized and efficient mechanism for introducing consumers to the spa and recreational service through visualization. Conclusion. The use of marketing technologies for consumers segmentation of resort and recreational services is influenced by the digitalization of marketing activities and leads to new methods of collecting and analyzing data for segmentation. These methods allow to accumulate quickly information about consumers in the digital space for segmentation and proactive interaction with target audiences, as well as reduce time it takes for a new service to enter the market. In the context of digitalization, further research to conduct marketing technologies for segmentation of consumers of resort and recreational services should develop the priority of using digital sources of dynamic information about consumer characterristics in a virtual environment; determine the features of the combination of static (offline consumer features) and dynamic (online consumer features) segmentation features. Keywords: segmentation, marketing technologies, digitalization, immersive environment, consumer, resort and recreational service

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Calvo-Porral, Cristina, and Jean-Pierre Lévy-Mangin. "An emotion-based segmentation of bank service customers." International Journal of Bank Marketing 38, no. 7 (September 4, 2020): 1441–63. http://dx.doi.org/10.1108/ijbm-05-2020-0285.

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PurposeEmotional and affective responses are experienced during service use that determine customer behavior; and for this reason, bank services require an better understanding of the emotions customers feel in service experiences. This research aims to examine whether different customer segments exist in the bank services industry, based on the emotions they experience when using the service.Design/methodology/approachThe factors were examined through confirmatory factor analysis (CFA). Then, two-step clustering analysis was developed for customer segmentation on data from 451 bank service customers. Finally, an Anova test was conducted to confirm the differences among the obtained customer segments.FindingsOur findings show that the emotion-based segmentation is meaningful in terms of behavioral outcomes in bank services. Further, research findings indicate that bank service customers cannot be perceived as a homogenous group, since four customer clusters emerge from our research namely “angry complainers”, “pragmatic uninvolved”, “emotionally attached customers” and “happy satisfied customers”.Research limitations/implicationsOur findings show that the emotion-based segmentation is meaningful in terms of behavioral outcomes in bank services. Further, research findings indicate that bank service customers cannot be perceived as a homogenous group, since four customer clusters emerge from our research namely “angry complainers”, “pragmatic uninvolved”, “emotionally attached customers” and “happy satisfied customers”, being the “angry complainers” the most challenging customer group.Originality/valueThe study is the first one to specifically segment bank customers based on the emotions they experience when using the service.

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Kryjak, Tomasz, Damian Krol, and Marek Gorgon. "Segmentation of Dishes for Customer Service Automation in a Self-service Canteen." Image Processing & Communications 20, no. 2 (June 1, 2015): 5–16. http://dx.doi.org/10.1515/ipc-2015-0030.

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Abstract The article describes research on dishes segmentation for the purposes of customer service process automation in a self-service canteen. The project assumptions and a prototype test stand are presented. The developed empty workspace detection and tray position determination algorithms are discussed. Finally, the chosen dishes segmentation algorithm is described and justified.

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Yasrizal, Meutia Arini, and Wahyu Sulistiadi. "Studi Segmentation, Targeting, Positioning (STP) pada Bauran Pemasaran Produk Klinik Eksekutif Rumah Sakit Gigi Mulut pada Masa Pandemi COVID-19." Journal of Telenursing (JOTING) 4, no. 1 (April 11, 2022): 168–76. http://dx.doi.org/10.31539/joting.v4i1.3301.

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This study aims to analyze segmentation, target market and market position in the product marketing mix of the executive clinic of the Oral Dental Hospital (RSGM) X Jakarta City. The method used is descriptive quantitative. The results showed that in the segmentation analysis, most visits to the clinic were women of productive age, predominantly from outside the DKI Jakarta area, dominant payments were out of pocket and insurance, and the dominant type of service used was executive service. Targeting analysis shows that the best market determination strategy for RSGM X is multi-targeting. Strengthening positioning at RSGM X can be done by prioritizing superior products, brand attributes and the quality of services provided. In conclusion, RSGM X prioritizes services with adjustments to health protocols through marketing strategies with segmentation, target and position concepts and is supported by the right marketing mix. Keywords: Market Position, Segmentation, Target Market

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Engström, Jon, Olof Norin, Serge de Gosson de Varennes, and Aku Valtakoski. "Service design in healthcare: a segmentation-based approach." Journal of Service Management 33, no. 6 (October 11, 2022): 50–78. http://dx.doi.org/10.1108/josm-06-2021-0239.

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PurposeThe study aims to explore how segmentation as a methodology can be adapted to the healthcare context to provide a more nuanced understanding of the served population and to facilitate the design of patient-centric services.Design/methodology/approachThe study was based on a collaborative project with a national healthcare organization following the principles of action design research. The study describes the quantitative segmentation performed during the project, followed by a qualitative interview study of how segments correspond with patient behaviors in an actual healthcare setting, and service design workshops facilitated by segments. A number of design principles are outlined based on the learnings of the project.FindingsThe segmentation approach increased understanding of patient variability within the service provider organization and was considered an effective foundation for modular service design. Patient characteristics and life circumstances were related to specific patterns of health behaviors, such as avoidance or passivity, or a persistent proactivity. These patterns influenced the patients' preferred value co-creation role and what type of support patients sought from the care provider.Practical implicationsThe proposed segmentation approach is immediately generalizable to further healthcare contexts and similar services: improved understanding of patients, vulnerable patients in particular, improves the fit and inclusivity of services.Originality/valueThe segmentation approach to service design was demonstrated to be effective in a large-scale context. The approach allows service providers to design service options that improve the fit with individual patients' needs for support and autonomy. The results illuminate how patient characteristics influence health and value co-creation behaviors.

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Liang ChihChin, ChungWen Yang, PeiChing Wu, and ChuFen Li. "Market Segmentation to Mobile Banking Service." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 19 (October 31, 2012): 197–204. http://dx.doi.org/10.4156/aiss.vol4.issue19.25.

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McDougall, Gordon H. G., and Terrence J. Levesqu. "Benefit Segmentation Using Service Quality Dimensions." International Journal of Bank Marketing 12, no. 2 (March 1994): 15–23. http://dx.doi.org/10.1108/02652329410052946.

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Yao, Lan, Ruoyu Luo, and Xiaoqin Yi. "A study of market segmentation, government competition, and public service efficiency in China: Based on a semi-parametric spatial lag model." PLOS ONE 19, no. 4 (April 16, 2024): e0297446. http://dx.doi.org/10.1371/journal.pone.0297446.

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Despite significant growth in fiscal expenditure, the overall level of public services in China remains inadequate. One approach to improving government public service efficiency from the perspective of management psychology is to strengthen government competition. However, only a few studies have explored the improvement of public service efficiency through government competition, with even fewer addressing the phenomena of market segmentation and spatial effects that accompany the process of government competition. This paper aims to fill this research gap by examining the effects of government competition and market segmentation on public service efficiency, as well as their spatial disparities. We initially employs the DEA method to assess the efficiency of public services based on inputs and outputs, and examines its spatial variations. Subsequently, a semi-parametric spatial lag panel model is utilized to validate the effects of market segmentation and government competition on public service efficiency. Our findings indicate that inter-provincial market segmentation leads to a decline in public service efficiency. Moreover, the influence of horizontal competition between local governments on public service efficiency varies depending on the degree of positive and negative effects in their competition dynamics. The impact of vertical competition between central and local governments on public service efficiency is influenced by the degree of fiscal decentralization. When the level of fiscal decentralization is below 0.808, vertical competition between central and local governments has a promoting effect on public service efficiency. However, when the degree of fiscal decentralization exceeds 0.08, this promoting effect weakens and gradually transforms into a negative influence. The insights and evidence provided by this study offer valuable guidance for for effectively reshaping the fiscal relations between the central and local governments in China and improving public service efficiency in the context of a new round of fiscal and tax system reforms.

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Adesi, Michael, De-Graft Owusu-Manu, and Frank Boateng. "Segmentation of quantity surveying professional services for focus strategy and diversification." Journal of Financial Management of Property and Construction 24, no. 3 (November 4, 2019): 294–308. http://dx.doi.org/10.1108/jfmpc-09-2018-0052.

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Purpose Notwithstanding that numerous studies have focused on strategy in quantity surveying (QS) professional service firms, there is a paucity of investigation on the segmentation of QS professional services. The purpose of this study is to investigate the segmentation of QS services for diversification and a focus strategy formation. Design/methodology/approach This study adopts the positivist stance and quantitative approach in which a simple random sampling technique was used to select participants. In total, 110 survey questionnaires were administered to registered professional QS, out of which 79 completed questionnaires were returned for analysis. Findings The paper identifies three main QS service segments characterised by low, moderate and high competition. In addition, this study found that the concentration of traditional QS services in the building construction sector is due to the unwillingness of QS professional service firms to diversify into the non-construction sectors such as oil and gas. The diversification of QS services in the low competitive segment requires the adoption of agile approaches. Research limitations/implications The study was limited to numeric analyses and so would be complemented by qualitative research in the future. Practical implications This paper is useful to QS professional service firms interested in diversifying their services into the non-construction sectors to enhance the pricing of their services. Originality/value Segmentation of QS services is fundamental to the formulation of focus strategy for non-construction sectors such as oil and gas and mining to enhance the pricing of QS professional services.

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Sudrajat, Darjat. "Segmentasi Pasar Penyedia Jasa Logistik (Third Party Logistics) di Indonesia." Binus Business Review 1, no. 2 (November 30, 2010): 332. http://dx.doi.org/10.21512/bbr.v1i2.1079.

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Market segmentation is fundamental in marketing strategy and the first step of market-based strategy preparation, to strengthen its marketing efficiency, and creating opportunities for sales growth and profits. This also applies to market segmentation logistics service providers (TPL - Third Party Logistics), the market is highly developed in the last decade, so that the logistics service providers has to develop marketing strategies properly. The purpose of this research is to gain a better understanding of different industries that exist today and map the needs of the logistics services of TPL customers. Based on exploration research conducted, it can be found in conformities relating to the logistics industry from several companies, ie appropriateness to the complexity of logistics activities of some companies and degree of investment of TPL services company in conducting the activity. Logistics service provider market segmentation can be based on variable complexity of logistics activities, whether it is high, medium or low and variable degrees of investment in the company whether minor, major, or integrated/total. Companies in different industries can have the same logistic service requirements and companies in the same industry can have different logistic service requirements. Client companies for logistics service providers which product handling are classified as semi-complex is the most attractive customer segments for being penetrated. The industries are classified into this segment is automotive, food and beverage, animal food, ceramic, and plantation.

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Hu, Mu Hai, Shu Qin Cai, and Ting Ting Tan. "Customer Segmentation Based on Context Preference Mining for Mobile Service." Advanced Materials Research 186 (January 2011): 348–52. http://dx.doi.org/10.4028/www.scientific.net/amr.186.348.

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An increasing web services run in mobile context. Context may influence customer potential needs and buying behaviors in some specific situation. However existent customer segmentation method do not attach importance to context factors, which weakly support the development of context-sensitive mobile service . Therefore a mobile customer segmentation method based on context is proposed and validated by a case. The further research is mentioned in the end of the paper.

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Niranjan, K., Y. Vasanth, and K. Sathwik. "User Segmentation of Ecommerce." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (January 31, 2023): 1183–88. http://dx.doi.org/10.22214/ijraset.2023.48782.

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Abstract: The emergence of many competitors and entrepreneurs created a lot of excitement as companies competed to find new buyers and retain old ones. As a result of its predecessor, , the need for excellent customer service became relevant regardless of the size of the company. Additionally, each company's ability to understand the needs of each of its customers provides better customer support in its targeted delivery of his customer service and the development of customized customer service plans. This understanding is possible through 's structured customer service. Each segment has customers with the same market characteristics. Big data ideas and machine learning have made automated customer segmentation approaches more widely accepted than traditional market analysis, which often fails on large customer bases. In this paper, the k-means clustering algorithm is used for this purpose. The Sklearn library was developed for the k-means algorithm (described in the appendix) , and the program is trained on his two-factor dataset of 100 samples obtained from a retail store. Characteristics of average purchasers and monthly average customers

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Zhao, Jing, Nan Wei, Hui Li, and Yue Ling Liu. "Analysis of Communication Enterprises' Customers Segmentation Based on Data Mining." Applied Mechanics and Materials 543-547 (March 2014): 4464–67. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4464.

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Application of data mining in mobile communication enterprises can help the enterprises conduct customers subdivision, understand characteristics of consumer behavior and develop appropriate product service systems based on different subdivided groups to occupy more market shares and provide better services for customers. By applying cluster analysis method in data mining and using k-means algorithm, this paper analyzes the collected mobile service consumption data with college students as samples, concludes behavioral characteristics of the mobile service consumption of three type college students and makes proposals from the perspective of operators.

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Marković, Dejan, Biljana Grgurović, and Slavica Štrbac. "THE USE OF SPATIAL DATA FOR SEGMENTATION OF THE POSTAL SERVICE MARKET." Technological and Economic Development of Economy 17, no. 1 (March 17, 2011): 87–100. http://dx.doi.org/10.3846/13928619.2011.554016.

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Modern trends in the field of postal traffic imply the existence of a large number of providers who distribute these services. A trend of this kind sets highly rigorous requirements regarding structure and quality of the services. On the other hand, the users are a heterogenous group with specific characteristics, which significantly complicates the process of segmentation, choice of a target market and formulating of an adequate marketing strategy. Application of some standard methods of demographic and psychographic segmentation, in the opinion of the authors of this paper, results in very general grouping most often based on assumptions. The aim is to point out the significance of spatial data and how the results obtained by application of a geographic information system (GIS) can be used in the case of segmentation of the postal service market.

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Jia, Guang Cheng, Yan Li, and Qiu Feng Wang. "Research on the Service Navigation System of Engineering Machinery Industry Integration Platform Based on Cloud Computing." Advanced Materials Research 846-847 (November 2013): 1483–86. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1483.

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The integration platform based on cloud computing is designed to break through the bottleneck of engineering machinery industry on segmentation of technology services, small scale and low-level services. A structure of service navigation system is presented with work flow as the focus, including service analysis processor, service execution processor and service results manager. This service navigation system can solve the problems of searching all kinds of resources and utilizing the multiple platforms, and strengthen the flexibility and agile response of the integration platform.

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Keltner, Brent, David Finegold, Geoff Mason, and Karin Wagner. "Market Segmentation Strategies and Service Sector Productivity." California Management Review 41, no. 4 (July 1999): 84–102. http://dx.doi.org/10.2307/41166011.

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Heeseung Lee, Kihong Kim, and Hejin Chun. "Market Segmentation of International Wine Tourism Service." International Commerce and Information Review 11, no. 4 (December 2009): 129–49. http://dx.doi.org/10.15798/kaici.11.4.200912.129.

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Albert, Adrian, and Ram Rajagopal. "Cost-of-Service Segmentation of Energy Consumers." IEEE Transactions on Power Systems 29, no. 6 (November 2014): 2795–803. http://dx.doi.org/10.1109/tpwrs.2014.2312721.

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Sharma, Arun, and Douglas M. Lambert. "Segmentation of Markets Based on Customer Service." International Journal of Physical Distribution & Logistics Management 20, no. 7 (July 1990): 19–27. http://dx.doi.org/10.1108/eum0000000000369.

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Andri Cahyo Purnomo. "MANAJEMEN PEMASARAN PENDIDIKAN BERBASIS STRATEGI PENENTUAN PASAR SASARAN." Jurnal Sosial Humaniora dan Pendidikan 1, no. 2 (May 31, 2022): 130–37. http://dx.doi.org/10.55606/inovasi.v1i2.129.

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This research is to know the concept of education marketing management based on target market determination strategy. This research is a qualitative type through literature study. Literature study is another term for literature review, literature review, theoretical study, theoretical basis, literature review, and theoretical review. When determining market segments, it is necessary to pay attention to key market segment variables, such as demographic, psychographic, geographic and benefit segmentation. These four segmentations divide the consumer market in order from the general and massive to the most specific, namely a) demographic segmentation, namely: segments that make market groups based on age, education, gender, family size and income identification; b) geographic segmentation, namely identifying based on area, climate, population density or market physical conditions; c) psychographic segmentation, namely the segment that identifies consumers based on people's lifestyles and consumer personalities by observing a person's activities, tastes, opinions or interests; and d) benefit segmentation, which is a segment that focuses on the expected use of a product or service that is offered and provided.

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Moen, M. A. N., A. P. Doulgeris, S. N. Anfinsen, A. H. H. Renner, N. Hughes, S. Gerland, and T. Eltoft. "Comparison of automatic segmentation of full polarimetric SAR sea ice images with manually drawn ice charts." Cryosphere Discussions 7, no. 3 (June 13, 2013): 2595–634. http://dx.doi.org/10.5194/tcd-7-2595-2013.

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Abstract. In this paper we investigate the performance of an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number of classes. This number was determined in advance from visual inspection of the SAR image and by available in-situ measurements. The segmentation result was then compared to ice charts drawn by ice service analysts. The comparison revealed big discrepancies between the charts of the analysts, and between the manual and the automatic segmentations. In the succeeding analysis, the automatic segmentation chart was labeled into ice types by sea ice experts, and the SAR features used in the segmentation were interpreted in terms of physical sea ice properties. Studies of automatic and robust estimation of the number of ice classes in SAR sea ice scenes will be highly relevant for future work.

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Machauer, Achim, and Sebastian Morgner. "Segmentation of bank customers by expected benefits and attitudes." International Journal of Bank Marketing 19, no. 1 (February 1, 2001): 6–18. http://dx.doi.org/10.1108/02652320110366472.

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Segmentation by demographic factors is widely used in bank marketing despite the fact that the correlation of such factors with the needs of customers is often weak. Segmentation by expected benefits and attitudes could enhance a bank’s ability to address the conflict between individual service and cost‐saving standardisation. Using cluster analysis segments were formed based on combinations of customer ratings for different attitudinal dimensions and benefits of bank service. The clusters generated in this way were superior in their homogeneity and profile to customer segments gained by referring to demographic differences. Additionally, four characteristic groups of customers were identified showing special preferences for and against information services and technology.

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Song, Chao, Xinyu Gao, Yongqian Wang, Jinhai Li, Lifeng Fan, Xiaohuang Qin, Qiao Zhou, Zhongyi Wang, and Lan Huang. "Feature Selection and Recognition Methods for Discovering Physiological and Bioinformatics RESTful Services." Information 9, no. 9 (September 6, 2018): 227. http://dx.doi.org/10.3390/info9090227.

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Many physiology and bioinformatics research institutions and websites have opened their own data analysis services and other related Web services. It is therefore very important to be able to quickly and effectively select and extract features from the Web service pages to learn about and use these services. This facilitates the automatic discovery and recognition of Representational State Transfer or RESTful services. However, this task is still challenging. Following the description feature pattern of a RESTful service, the authors proposed a Feature Pattern Search and Replace (FPSR) method. First, they applied a regular expression to perform a matching lookup. Then, a custom string was used to substitute the relevant feature pattern to avoid the segmentation of its feature pattern and the loss of its feature information during the segmentation process. Experimental results showed in the visualization that FPSR obtained a clearer and more obvious boundary with fewer overlaps than the test without using FPSR, thereby enabling a higher accuracy rate. Therefore, FPSR allowed the authors to extract RESTful service page feature information and achieve better classification results.

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Du, Fei, Feng Yang, Liang Liang, and Mingming Yang. "Do service providers adopting market segmentation need cooperation with third parties?" International Journal of Contemporary Hospitality Management 28, no. 1 (January 11, 2016): 136–55. http://dx.doi.org/10.1108/ijchm-01-2014-0014.

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Purpose This study aims to analyze the tradeoff between two potential marketing strategies for service providers, namely, market segmentation on the basis of reservation lead time and cooperation with third parties. Design/methodology/approach This paper proposes an optimization model to describe market segmentation strategy after cooperating with third parties by taking hotels for example. Findings The results show that the profitability of adopting two strategies simultaneously is lower than that with market segmentation alone under some cases, which is relevant with attributes of travel agencies, such as switch rate and market share. Research limitations/implications This study indicates that cooperation with third parties has a negative impact on profitability of hotels using market segmentation in some cases. However, randomness of demand, customer loyalty and existence of cancellation should be considered in further research. Practical implications In an e-commerce era, hotels with market segmentation based on reservation lead time, are not required to cooperate with third parties under a number of situations (e.g. high switch rates and small market sizes of travel agencies). In addition, hotels should revise the segmentation strategy based on the change rate of potential demand of individual customers. Furthermore, hotels should enhance customer loyalty, strengthen cooperation with travel agencies that possess large market shares or small switch rates. Originality/value The study preliminarily formulates the optimal market segmentation strategy on the basis of reservation lead time after cooperating with third parties, which contributes to the revenue management.

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Melati, Ina. "Pengaruh Sales Promotion pada Keputusan Pemilihan Sebuah Wedding Organizer Studi Kasus: Segmentasi Kalangan Atas di Jakarta." Binus Business Review 5, no. 1 (May 30, 2014): 429. http://dx.doi.org/10.21512/bbr.v5i1.1264.

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Sales promotion is almost always used as a marketing tool that is potential to increase sales of a product. Nevertheless, the reality is totally different because of differences in segmentation and characteristics of the product or service that will be sold should be a concern for marketers. It turns out that not all segmentations will be loyal to a product/service because of sales promotion, take one example: when upper class customers in choosing a wedding organizer. With etnography study and in depth interview, consumer insight is obtained about their opinion on sales promotion.

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Nilplengsang, Yongyoot, and Sumaman Pankham. "Beyond STP Marketing Strategy for Online Service Businesses." Revista de Gestão Social e Ambiental 18, no. 6 (April 4, 2024): e05553. http://dx.doi.org/10.24857/rgsa.v18n6-097.

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Purpose: This research presents the new marketing strategy concept with the customization strategy as the specific consumer satisfied to be in line with the online service business. Theoretical Framework: The researcher studied the elements of marketing strategies for online service businesses. The strategy development process is divided into 4 components as segmentation, targeting, positioning and customization. Design/methodology/approach: In this research, the researcher uses mixed-methods as qualitative research that analyzed the consensus with fuzzy logic techniques, and quantitative research. Findings: The research result brings about a new marketing strategy that is going to be a guideline for online service business entrepreneurs, which is comprised of the following market strategy: “segmentation, targeting, positioning, and customization strategy as the specific consumer satisfied”. Practical implications: The objective of the study is to find consensus among experts using fuzzy logic and develop market strategies through segmentation, targeting, positioning, and customization strategies to the specific consumer satisfied. In this research, mixed-methods research, among other things, qualitative research was used with 19 experts with in-depth interviews, which analyzed the consensus with fuzzy logic techniques, and quantitative research was used with 983 online service business entrepreneurs. Originality/value: The research result brings about a new marketing strategy that is going to be a guideline for online service business entrepreneurs, which is comprised of the following market strategy as “segmentation, targeting, positioning, and customization strategy as the specific consumer satisfied”. The obvious thing is that marketing should apply these strategies in decreasing order importance, segmentation, and customization strategies involve the specific consumer needs that are inferior to their importance, plus combining with the targeting and positioning, respectively.

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Moen, M. A. N., A. P. Doulgeris, S. N. Anfinsen, A. H. H. Renner, N. Hughes, S. Gerland, and T. Eltoft. "Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts." Cryosphere 7, no. 6 (November 7, 2013): 1693–705. http://dx.doi.org/10.5194/tc-7-1693-2013.

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Abstract. In this paper we investigate the performance of an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number of classes. This number was determined in advance from visual inspection of the SAR image and by available in situ measurements. The segmentation result was then compared to ice charts drawn by ice service analysts. The comparison revealed big discrepancies between the charts of the analysts, and between the manual and the automatic segmentations. In the succeeding analysis, the automatic segmentation chart was labeled into ice types by sea ice experts, and the SAR features used in the segmentation were interpreted in terms of physical sea ice properties. Utilizing polarimetric information in sea ice charting will increase the efficiency and exactness of the maps. The number of classes used in the segmentation has shown to be of significant importance. Thus, studies of automatic and robust estimation of the number of ice classes in SAR sea ice scenes will be highly relevant for future work.

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Zhang, Haotian, Yan Wang, Jian-Tao Zhou, Jianwei Gao, and Jing Liu. "A Migration Method for Vehicle Mobility Services Based on Road Segmentation Markov Model." Wireless Communications and Mobile Computing 2022 (May 27, 2022): 1–13. http://dx.doi.org/10.1155/2022/2735000.

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The emergence of edge computing provides a new solution to solve resource-intensive applications, but how to formulate the most efficient service migration strategy according to users’ real-time location to ensure users to receive low latency services has become a new challenge. For the vehicle terminals running on the road, mobility of vehicle terminals is a factor that cannot be ignored. Ensuring the continuity of vehicle mobility service is an urgent problem to be solved. For the vehicles running in the roads, we focus on the establishment of service migration model based on Markov decision process according to road zoning, taking the loss and delay caused by service migration as the index to measure the advantages and disadvantages of service migration strategies. Then, a reinforcement learning algorithm is used to transform the service migration model into MDP model, and the measurement index is transformed into the reward function to formulate the service migration strategies for service migration process of the vehicle’s travel. Finally, through the simulation experiments on different scenarios, we compared our method with other methods in terms of loss and reward from service migration, which proves the effectiveness of our method.

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Hutagalung, Juniar, Muhammad Syahril, and Sobirin Sobirin. "Implementation of K-Medoids Clustering Method for Indihome Service Package Market Segmentation." Journal of Computer Networks, Architecture and High Performance Computing 4, no. 2 (July 21, 2022): 137–47. http://dx.doi.org/10.47709/cnahpc.v4i2.1458.

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IndiHome (Indonesia Digital Home) is a leading digital fibre optic service product consisting of fibre optic internet services, landline telephones, and interactive TV services. Although the coverage of Indihome products is extensive in the city of Medan, in marketing, Indihome products have not reached the planned target. Based on data from Indihome service package users that have been received, Indihome product users only numbered 6419 customers in all STOs in Medan City. At the same time, the target was planned by PT. Telkom Access Medan, namely Marketing Indihome products, must reach 5,000 customers per month in all STOs in Medan City. Indihome product marketing is an obstacle for PT. Telkom Access Medan, because the Indihome product is a new product, the people of Medan City do not fully know what Indihome is and what facilities they get from using the Indihome service package. Therefore PT. Telkom Access Medan needs to make a plan to make a marketing strategy. The first step that needs to be done is to segment the market for the Indihome service package. This study aimed to determine the application of Data Mining using the K-Medoids Clustering method in the Indihome service package market segmentation at PT. Telkom Access Medan. With this research, it is hoped that it can provide a reference for the results of the decision so that it can help related parties to make it easier to classify the market segmentation of the Indihome service package at PT. Telkom Access Medan. Because the value of S > 0, then the calculation is stopped and ends in the 3rd iteration. Indihome service package data processing uses the k-medoids clustering method in the form of potential, potential, and not potential STO (Sentral Telephone Automated) cluster members.

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Goenandar, Billy, and Maya Ariyanti. "Analysis of Demography, Psychograph and Behavioral Aspects of Telecom Customers Using Predictive Analytics to Increase Voice Package Sales." Journal of Consumer Sciences 6, no. 1 (February 28, 2021): 1–19. http://dx.doi.org/10.29244/jcs.6.1.1-19.

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In 2018, Telkomsel's core business shifted its main services from Telephone and SMS services to Data and Digital services, since a declining trend of revenue starting 2014. However, telephone service still contributed 28.4% to the revenue and was the second largest, while SMS gave 4.1%. This research predicts voice package buyers using predictive analytics to identify customer profiles and significant variables to form appropriate target customer segmentation. Logistic regression was used to predict customers who would buy voice packages using 15 input variables. Next, analytics was done by dividing the data into 70% training data sets and 30% testing data obtained from customer voice package user data. The model accuracy gained 97.2%, and the top seven significant variables were formed. Then five clusters of customer segmentation were formed based on top significant variables using the K-Means clustering technique. Based on the results of the prediction model and clustering, behavioral targeting was conducted to provide targeted gimmick products based on five segmentations formed, and then it was divided into two main target customers by considering the similarity of behaviors based on revenue voice, minutes of voice usage, voice transactions, day of voice usage and data payload, thus it was more targeted.

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Paruchuri, Harish. "Market Segmentation, Targeting, and Positioning Using Machine Learning." Asian Journal of Applied Science and Engineering 8, no. 1 (March 20, 2019): 7–14. http://dx.doi.org/10.18034/ajase.v8i1.7.

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The occurrence of numerous rivals and industrialists has created a lot of pressure between rivalry companies to go in search of new customers and at the same time working to maintain the existing ones. Owing to this, the necessity for a new customer service policy or strategy becomes essential irrespective of the business size. Moreover, the capability of any company that wants to remain in existence and growth as well needs to understand its clients and also delivers necessary customer support to make available targeted client services and develop branded clients’ service policy. This understanding is conceivable via organized client service. The respective segment devises consumers who share similar market potentials. Big data philosophies and machine learning devise appropriate means of promoting better recognition and approval of computerized client segmentation methods in good turn of outdated business analytics that frequently lead to any meaningful approach that can keep or source for a new customer while the client disreputable is very growing by the day. This study makes use of the k-means clustering algorithm for this determination. The Sklearn public library was established for the k-Means algorithm and the package is competent by means of a 100-model two-parameters dataset generated or collected from the retail trade. Features of an average figure of client buying and average figure of periodic consumers.

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Luo, Zidan, and Bo Sun. "Comparative Analysis of Digital Service Trade between China and the U.S." Advances in Economics and Management Research 6, no. 1 (June 15, 2023): 250. http://dx.doi.org/10.56028/aemr.6.1.250.2023.

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Digital service trade has become an important force driving global trade growth. This paper selects two digital trade powers, China and the United States, and focuses on the comparison of digital service trade between the two countries, analyzing the scale of digital service trade, international market share, import and export source and target countries, and four aspects of segmentation structure, summarizing the shortcomings of China in digital service trade compared with the United States, and proposing measures to promote the development of digital services trade in China.

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Wardley, Leslie J., and Charles H. Bélanger. "Customer service, university student segmentation and institutional commitment." International Journal of Innovation and Learning 22, no. 4 (2017): 498. http://dx.doi.org/10.1504/ijil.2017.087488.

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Wardley, Leslie J., and Charles H. Bélanger. "Customer service, university student segmentation and institutional commitment." International Journal of Innovation and Learning 22, no. 4 (2017): 498. http://dx.doi.org/10.1504/ijil.2017.10008278.

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Luk, Sherriff T. K., Dr Corinna T. de Leon, Foo-Weng Leong, and Esther L. Y. Li. "Value Segmentation of Tourists' Expectations of Service Quality." Journal of Travel & Tourism Marketing 2, no. 4 (March 9, 1994): 23–38. http://dx.doi.org/10.1300/j073v02n04_02.

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Marchack, Baldwin W. "Market segmentation and service: A strategy for success." Journal of Prosthetic Dentistry 73, no. 3 (March 1995): 311–15. http://dx.doi.org/10.1016/s0022-3913(05)80211-2.

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Ülkü, M. Ali, and James H. Bookbinder. "Pricing Games in a Service Industry: Equilibrium Segmentation." American Journal of Mathematical and Management Sciences 29, no. 3-4 (February 2009): 393–412. http://dx.doi.org/10.1080/01966324.2009.10737765.

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Tomak, Kerem, Kemal Altinkemer, and Burak Kazaz. "Market segmentation using service levels in data networks." Information Systems and e-Business Management 1, no. 1 (January 2003): 93–117. http://dx.doi.org/10.1007/bf02683512.

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Merrilees, Bill, Rohan Bentley, and Ross Cameron. "Business service market segmentation: the case of electrical and mechanical building maintenance services." Journal of Business & Industrial Marketing 14, no. 2 (May 1999): 151–63. http://dx.doi.org/10.1108/08858629910259017.

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Wicaksono, Khalfan Nadhief Prayoga, and Catur Apriono. "Literature review: visible light communication system business model scheme for telecommunication business in Indonesia." MATRIX : Jurnal Manajemen Teknologi dan Informatika 13, no. 2 (July 29, 2023): 80–93. http://dx.doi.org/10.31940/matrix.v13i2.80-93.

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The telecommunication sector mainly comprises operators, vendors, and regulators. In Indonesia, tele- communications operator companies tend to decrease profits from the first quarter of 2017 to the third quarter of 2018. This condition is due to the tight competition of telecommunication service providers, high operational costs, and digital transformation that does not provide substantial revenue for the company. Telecommunica- tions operators need other service options that can expand target market segmentation. It aims to open up a new blue ocean as a new source of income. The world is getting closer to massive communication technology, so high-speed communication is needed. Therefore, telecommunications operators can open new service options based on the visible light spectrum as their communication resources. This option can be integrated with ambient lighting, a wide spectrum ranging from radio waves, and greater bandwidth, making visible light suitable for IoT- 5G services. This research aims to design a wireless visible light communication business model. Several frame- works are used, such as the magic triangle of St. Gallen, Osterwalder Business Model Canvas, and PESTLE analysis. The business model design results in a business model with B2B market segmentation being the main focus and B2C market segmentation to acquire retail customers.

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Li, Nan, Feng Tao, and Bin Liu. "Noise Propagation Calculation Service in Urban Traffic Strategic Noise Mapping." Advanced Materials Research 356-360 (October 2011): 2211–14. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.2211.

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Excessive traffic noise is a major environmental complaint in residential areas. This paper investigates a SOA based hierarchical services structure for urban traffic strategic noise mapping. Service Oriented Computing Environment (SORCER) is employed to build a highly flexible distributed platform. As the key service in our structure, Noise Propagation Calculation Service and its technical detail will be introduced. The service implements functions of sound objects generation, attenuation terms calculation and line source segmentation. The Noise Propagation Calculation Service aims to generate good-quality calculation solutions in a reasonable time. At last, this paper introduces a real traffic noise mapping project to demonstrate the service and the architecture.

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Zhang, Z., S. Zhao, X. Li, D. Cong, and D. Sun. "AN INFORMATION SERVICE MODEL FOR REMOTE SENSING EMERGENCY SERVICES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 187–91. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-187-2017.

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This paper presents a method on the semantic access environment, which can solve the problem about how to identify the correct natural disaster emergency knowledge and return to the demanders. The study data is natural disaster knowledge text set. Firstly, based on the remote sensing emergency knowledge database, we utilize the sematic network to extract the key words in the input documents dataset. Then, using the semantic analysis based on words segmentation and PLSA, to establish the sematic access environment to identify the requirement of users and match the emergency knowledge in the database. Finally, the user preference model was established, which could help the system to return the corresponding information to the different users. The results indicate that semantic analysis can dispose the natural disaster knowledge effectively, which will realize diversified information service, enhance the precision of information retrieval and satisfy the requirement of users.

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Sun, Miao, Ye Tian, Yufei Yan, and Yi Liao. "Improving the profit by using a mixed after-sales service as a market segmentation." Nankai Business Review International 10, no. 2 (June 3, 2019): 233–58. http://dx.doi.org/10.1108/nbri-10-2017-0057.

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PurposeThis paper aims to study the mixed after-sales service which simultaneously offers return and replacement services. The authors develop a model to propose what kind of after-sales service the firm should choose and how to make the after-sales service policy to improve the profit. The study aims to extend the literature on the mixed after-sales service and give some support to the managers to make decisions.Design/methodology/approachIn this paper, the authors use the optimization modeling method to describe the situations of a firm offering two exclusive after-sales service policies and a mixed after-sales service policy, respectively. They compare the results in different cases and analyze the impact of different parameters on the boundary values and other results. Finally, the authors include three numerical examples to illustrate the major results.FindingsThe authors find that the mixed after-sales service can successfully segment the market, meet various customers’ distinct needs and differentiate the service prices to improve the total profit. Moreover, the authors find the boundary values which indicate the optimal interval for each service. Then, for a certain situation, they can clearly tell which after-sales service dominates and provides the optimal selling price, order quantity and total profit. Besides, the authors show the impact of different parameters on the boundary values and other results.Originality/valueThis paper combines after-sales service into traditional models and provides a new mixed service to segment the market and improve total revenue. It provides some managerial implications for the decision-makers.

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Lucky, Lucky Anyike. "Marketing of Financial Service: Evidence from Nigeria Financial Market." International Journal of Marketing Research Innovation 2, no. 1 (February 22, 2018): 31–46. http://dx.doi.org/10.46281/ijmri.v2i1.104.

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Nigeria financial market is emerging, the growth in institutions and products require a marketing strategy that will meet the needs of growing population. This study examined marketing of financial services. It discussed financial service products, segmentation of financial products, brands in financial market, financial service marketing environment, marketing of financial service through the internet, distribution channels of financial products, strength, weakness, opportunities and threat of Nigeria financial market, the needs for marketing of financial services, features of financial products and pricing of financial products. The study concludes that marketing of financial services is a determinant of financial inclusion, therefore policies and strategies should be advanced by management and regulators in the financial market.

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Journal articles on the topic 'Segmentation de service'

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