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2022 ◽  
Vol 141 ◽  
pp. 308-320
Author(s):  
Lamprinakos Grigorios ◽  
Solon Magrizos ◽  
Ioannis Kostopoulos ◽  
Dimitrios Drossos ◽  
David Santos

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Guanglu Liu

With the improvement of living standards, more and more people are pursuing personalized routes. This paper uses personalized mining of interest points of ethnic minority tourism demand groups, extracts customer data features in social networks, and constructs data features of interesting topic factors, geographic location factors, and user access frequency factors, using LDA topic models and matrix decomposition models to perform feature vectorization processing on user sign-in records and build deep learning recommendation model (DLM). Using this model to compare with the traditional recommendation model and the recommendation model of a single data feature module, the experimental results show the following: (1) The fitting error of DLM recommendation results is significantly reduced, and its recommendation accuracy rate is 50% higher than that of traditional recommendation algorithms. The experimental results show that the DLM constructed in this paper has good learning and training performance, and the recommendation effect is good. (2) In this method, the performance of the DLM is significantly higher than other POI recommendation methods in terms of the accuracy or recall rate of the recommendation algorithm. Among them, the accuracy rates of the top five, top ten, and top twenty recommended POIs are increased by 9.9%, 7.4%, and 7%, respectively, and the recall rate is increased by 4.2%, 7.5%, and 14.4%, respectively.


2022 ◽  
pp. 288-302
Author(s):  
Rajiv Ranjan

Innovation of products continually, customization, and personalization are the strategies to gain sustainable competitive advantage for companies operating in Industry 4.0 era. Corporations tend to turn to the new social media for access to customer data. How much big data in terms of variety, veracity, velocity, and volume the corporation has determines its prediction architecture and hence customer satisfaction. This is reflected both in terms of inflecting revenues as well as investment from the venture capitalists (VCs), who then see great potential in the business, whether it be a start-up, an established organization, or its spin-off. This chapter explains this new management strategy for corporate sustainability through application of social media to acquire personal consumer and customer data. This is to devise customised products, personalize experience, and innovate for the two. The chapter takes exceptional growth story of BYJU's an educational technology company, as an example to elucidate the theory, concepts, and ideas discussed.


Author(s):  
Birgit Bosio ◽  
Melanie Scheiber

AbstractCustomer relationship management (CRM) is proving to be one of the most promising business strategies. However, in the field of destination marketing literature, a problem exists as to how data-supported CRM can be established. While customer data management has already been well exploited in other industries, DMOs lack customer proximity and data sovereignty. The aim of this paper is to fill this research gap and show how a data-based CRM can be deployed by DMOs based on the principles of social exchange theory. In 13 expert interviews, these aspects were examined from the DMO’s point of view. The results show that the exchange relationship must be established taking into account the DMO’s extraordinary conditions and critical success factors. In order to stimulate guests’ desire for dialogue or the willingness to disclose personal data, DMOs should offer high-quality customer benefits. A combination of hedonic and utilitarian benefits are found to be the most effective stimuli. In return, only the most necessary customer information should be requested and subsequently built passively. Only if the cost and benefit ratio of the exchange relationship is positive for both parties, a database for the CRM can be built in order to foster long-lasting relationships with potential and returning guests.


2021 ◽  
Vol 5 (4) ◽  
pp. 585
Author(s):  
Ambar Tri Hapsari ◽  
Aswin Fitriansyah

PT Indomobil Sukses International Tbk. (The Company) is the main company of the automotive group of companies. This company has many well-known automotive subsidiaries in Indonesia. This automotive company attaches great importance to products to meet customer needs and satisfaction. Guaranteed quality standards are the company's principle by supporting after-sales service in the 3S network (Sales, Service, and Spare parts) that already exist throughout Indonesia. The target of this company's business process must optimize customer data so that the company's target is not difficult to achieve in order to compete with other companies that have used computerized systems. Based on the description, the theme of research on designing customer data collection applications at PT. Indomobil Trada Nasional.


Author(s):  
Barry Eichengreen

AbstractPlatform businesses allow for collaboration with nontraditional partners and bring together different categories of customers, in the financial context savers and investors or lenders and borrowers, creating large, scalable networks of users. Their entry into finance promises potential benefits to consumers in the form of new products, lower prices, wider choice, and enhanced consumer experience. At the same time, their new business models and technologies potentially threaten the dominant position of traditional financial services providers and create challenges for regulators. Platform businesses can use their preferential access to customer data to skim off high-quality loans, leaving only low-quality customers for other lenders. Their ability to offer complementary nonfinancial services that cannot be supplied by FinTech start-ups and banks can make it difficult or unattractive for customers to switch to alternative providers. This danger is especially acute when BigTech firms have monopoly power in other markets that complement financial services.


Author(s):  
Boy Syamsul Bakhri

This research is motivated by curiosity about Islamic banking services in Riau Province during the Covid-19 pandemic. But before that, it is also important to examine customer knowledge on products and service facilities in Islamic banking, reasons customers choose Islamic banks, and reasons customers use both types of banks (Islamic banking and conventional banking). This research is a field research with survey technique. The population is Islamic banks customers in Pekanbaru and the samples in this study refer to the calculation of Hair et al with total assets of Islamic banks in 2020 as a consideration in determining proportional allocation. Sources of data in this research are primary and secondary data. While the data collection techniques using questionnaires and documentation. The data analysis technique uses descriptive statistics with a frequency distribution. The results of the research found that there are still many Islamic bank customers who do not know about specific Islamic bank products such musyarakah products, mudharabah products, ijarah products,and rahn services. The results also found that religious reasons are the main factor for customers in choosing of Islamic banks. The factor of ease of access to more branches is the main reason customers use both types of banks. Finally, the results of the research found that the most Islamic bank customers are satisfied with various aspects of the services provided by Islamic banks, while the five service aspects whith the highest level of customer satisfaction are Islamic bank staff friendliness, Islamic bank name and image, Islamic bank employee skills, confidentially Islamic bank customer data, as well as various kinds of facilities offered by Islamic banks. The results of this research are ini line with studies that have been conducted in Jordan and Kuwait, where the highest level of satisfaction is found in the name and image aspects of Islamic banks even though there are differences in respondent demographics and the condition of the Covid-19 pandemic.


2021 ◽  
Vol 10 (3) ◽  
pp. 227
Author(s):  
Ken Sudarti ◽  
Okky Wardhiani

ABSTRACTThis study focuses on the role of Individual and Relational Interaction Capability in increasing Emotional and Social Value Co-Creation on Market Performance in beauty salon services. Value Co-Creation is one of the service organization's strategies in utilizing external resources from customers. This strategy is crucial because the performance of service organizations is mostly determined by the ability of the frontline staff who interact with customers during service meetings. This research belongs to explanatory research with a population of beauty salon customers in Central Java. The sample consisted of 203 customers, and it was determined using the purposive sampling technique. The author collects customer data through the distribution of offline and online questionnaires analyzed using SPSS 23.0-based regression. This study has proven that Emotional and Social Value Co-Creation can mediate between Individual and Relational Capability with Market Performance. Emotional and social values that are created together will be beneficial for the parties involved. For customers, interactions during the value co-creation process will increase their satisfaction because it can fulfill their needs and desires. This study has also shown the role of individual and relational capability in increasing customer willingness to engage in mutual value creation interactions.JEL  Codes: D20, L10, M20.Keywords : individual interaction capability, relational interaction capability, emotional value co-creation, social value co-creation, market performance. ABSTRAKStudi ini fokus pada peran Individual dan Relational Interaction Capability dalam meningkatkan Emotional dan Social Value Co-Creation menuju Market Performance pada jasa salon kecantikan. Value Co-Creation merupakan salah satu strategi organisasi jasa dalam memanfaatkan sumberdaya eksternal yang berasal dari pelanggan. Strategi ini sangat penting karena performa organisasi jasa sangat ditentukan oleh kemampuan frontline staff dalam berinteraksi dengan pelanggan pada saat pertemuan jasa. Jenis penelitian bersifat explanatory research dengan populasi pelanggan salon kecantikan di Jawa Tengah. Ukuran sampel yang digunakan sebanyak 203 pelanggan. Teknik pengambilan sampel menggunakan pPurposive sSampling. Peneliti mengumpulkan data pelanggan melalui penyebaran kuisioner secara offline dan online. Alat analisis data menggunakan regresi berbasis SPSS 23.0. Studi ini telah berhasil membuktikan bahwa Emotsional dan Social Value Co-Creation mampu memediasi antara Individuasl dan Relational Capability dengan Market Performance Nilai emosional dan soscial yang dikreasikan bersama akan bermanfaat bagi pihak-pihak yang terlibat. Bagi pelanggan, interaksi selama proses value co-creation akan meningkatan kepuasannya karena kebutuhan dan keinginannya dapat terpenuhi. Studi ini juga telah membuktikan peran individual dan relational capability dalam meningkatkan keinginan pelanggan terlibat dalam interaksi penciptaan nilai bersama.


2021 ◽  
Vol 1 (3) ◽  
pp. 118-128
Author(s):  
Indra Gunawan Purba

The aims this study is to find out Implementation of GCG Principles in Distribution of Credit in SOE/BUMD Bank. This study use normative juridical research. The resul in this study shows that The board of directors and management of BUMN/BUMD banks absolutely must understand and apply the principles of GCG, especially in lending by applying the principles of GCG to prevent the occurrence of credit that has the potential to harm the company due to the lack of prudence and responsibility of officers to carry out loans. verification of customer data in the field. State-owned/BUMD Banks are required to be guided by the principles of GCG in implementing management so that the achievement of the goals and objectives, especially through the distribution of banking credit to the public and debtor customers can be obtained properly and maximally or at least not experiencing bad loans which have the potential to cause economic losses for the Bank BUMN/BUMD.


2021 ◽  
Vol 8 (2) ◽  
pp. 136
Author(s):  
Diah Wijayanti ◽  
Sunarto Ade Irawan ◽  
Eko Haryadi ◽  
Yuli Komalasari ◽  
Dede Mustomi

Abstrak: Citra MJ merupakan perusahaan yang mempunyai suatu usaha   penjualan berupa pakaian. Dimana Citra MJ dalam proses usahanya masih terkendala dalam hal pengelolaan data. Selain itu sistem pembayaran transaksi yang dilakukan oleh kasir masih bersifat manual sehingga menyebabkan banyak waktu yang terbuang. Sistem yang masih manual dalam pengelolaan data menyebabkan kasir kesulitan dan membutuhkan waktu yang lama dalam mencari data produk, data pelanggan maupun data transaksi.  Karena itu untuk mempermudah hal tersebut toko Citra MJ membuat pengolahan data dan pembuatan laporan administrasi sistem kasir, Toko Citra MJ memanfaatkan penggunaan teknologi salah satunya penggunaan teknologi komputer dengan membuat perancangan aplikasi program kasir untuk toko Citra MJ. Tujuan dari perancangan program ini adalah membantu kegiatan kasir dalam hal pengolahan data seperti pengolahan data produk, data pegawai, data transaksi, data pelanggan serta pembuatan laporan di toko MJ. Aplikasi program ini sementara ini di peruntukkan untuk kasir saja ke depannya tidak menutup kemungkinan mengembangkan menjadi aplikasi yang berbasis web. Sistem kasir ini menggunakan metode waterfall, yang mana metode ini dilakukan secara berurut mulai dari analisa, rancangan, pengkodean, pengujian sampai implementasi. Dalam perancangan program kasir di toko MJ bahasa pemrograman yang digunakan adalah java, database xampp dengan software pendukung adalah NetBeans IDE 8.1. Dengan melihat dari hasil pengujian yang menggunakan metode kuisioner diperoleh tngkat kepuasaan pengguna aplikasi program kasir sebesar 82,12 %, hal ini berarti bahwa pengguna sangat puas dengan aplikasi program kasir.   Kata kunci: program kasir, rancangan program   Abstract: Citra MJ is a company that has a sales business in the form of clothing. Where Citra Mj in its business process is still constrained in terms of data management. In addition, the payment system for transactions carried out by the cashier is still manual, causing a lot of wasted time. The system that is still manual in data management causes cashiers to have difficulty and takes a long time in finding product data, customer data and transaction data. Therefore, to make this easier, the Citra Mj store makes data processing and makes administrative reports for the cashier system, the Citra Mj store utilizes One of the uses of technology is the use of computer technology by designing a cashier program application for the Citra MJ store. The purpose of this program design is to assist cashier activities in terms of data processing such as product data processing, employee data, transaction data, customer data and report generation. This program application is currently intended for cashiers only, in the future it is possible to develop it into a web-based application. This cashier system uses the waterfall method, where this method is carried out sequentially starting from analysis, design, coding, testing to implementation. In designing the cashier program at the Mj store the programming language used is java, the xampp database with supporting software is NetBeans IDE 8.1. By looking at the test results using the questionnaire method, the level of user satisfaction of the cashier program application is 82.12%, this means that the user is very satisfied with the cashier program application.   Keywords: cashier program, program design


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