scholarly journals PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SEBAGAI UPAYA MENINGKATKAN KEPUASAN DAN LOYALITAS PELANGGAN PADA GELORA MUKTI SPORT BERBASIS WEB

2019 ◽  
Vol 13 (2) ◽  
pp. 11
Author(s):  
Anang Supriatna ◽  
Heru Budianto
Keyword(s):  
Customer Relationship Management ◽  
Customer Relationship ◽  
Consumer Loyalty ◽  
Conventional System ◽  
Good Service ◽  
Customer Data ◽  
It Impacts ◽  
System Requirements ◽  
Item Data ◽  
Developing System

Gelora Mukti Sport still uses a conventional system in managing its products and customers. Conventional system causes inaccuracies in managing data item data, inventory and customer data. Increasig loyalty is done by providing good service. This study aims to increase consumer loyalty through the application of CRM. This study uses waterfall as method of developing system. The stages of the waterfall are analyzing system requirements, making system design, implementing systems, testing and operating and maintaining the system. The form of implementation of CRM applied at Gelora Mukti Sport is by giving discounts on certain days, giving points provided that they will get 10 points for one transaction, points with a certain amount can be exchanged for products or vouchers that have been provided, vouchers can be used to deduct the total amount of payment, and wallet is useful for payment of product orders where the wallet is obtained from refunds and means of criticism to provide criticism or suggestions for the Gelora Mukti Sport store. The application of CRM in this system is expected to be able to improve service so that it impacts on the increase of consumer loyalty.Keyword : Gelora Mukti Sport, operational CRM, Waterfall, loyalty, discounts, vouchers, wallet, web, customers

scholarly journals The Implementation of Customer Relationship Management (CRM) Supported by SMS Gateway Technology

2019 ◽  
Vol 16 (1) ◽  
pp. 45
Author(s):  
Komang Redy Winatha
Keyword(s):  
Customer Relationship Management ◽  
Service Management ◽  
Environmental Changes ◽  
Relationship Management ◽  
Customer Relationships ◽  
Customer Relationship ◽  
Web Based ◽  
Customer Data ◽  
Gateway Technology ◽  
Web Based System

Responding to the higher restaurant industry competition, the Mailaku Roemah Nongkrong restaurant was not too flexible in facing an environmental changes. It was still using manual technology while there was an advancing technological developments. It was still applying the internal resources for business development. One way to overcome this problem is by utilizing technology and the concept of customer relationship management (CRM). CRM is a marketing strategy to create and maintain customer relationships and reduce the possibility of customers moving to other competitors. This study presented the development and implementation of CRM in a web-based system that was supported by sms gateway technology. The research methodology that will be used in this study consists of some steps, such as library study, observation, interviews, and system development which was divided into analysis, design, coding, and testing. The result was a web-based system was able to manage customer data, product promotion, and customer service management to create good relationships with customers. This system can be as an alternative for restaurants and customers in establishing practical business communication.

Customer Relationship Management as an Imperative for Academic Libraries

2015 ◽  
pp. 44-77
Author(s):  
Amanda Xu ◽  
Sharon Q. Yang
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Academic Libraries ◽  
Linked Data ◽  
Trust Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Customer Group

This chapter proposes a conceptual model, the 121 e-Agent Framework, for Customer Relationship Management (CRM) in academic libraries. Linked data and Semantic Web are the core components of this model. The implementation of the Framework will enable the participating U.S. academic libraries to reach out to their user communities through systematic customer group identification, differentiation, and interaction. The main contributions of the chapter are 1) applying Semantic Web technologies for CRM in academic libraries using the 121 e-Agent Framework, 2) defining the relevance challenges of CRM for academic libraries, 3) adding trust management to the linked data layer with a touch of tagging, categorizing, query log analysis, and social ranking as part of the underlying structure for distributed customer data filtering on the Web in CRM applications, and 4) making the approach extensible to address the challenges of CRM in other fields.

Customer Relationship Management and Knowledge Discovery in Database

2010 ◽  
pp. 902-907
Author(s):  
Jounghae Bang ◽  
Nikhilesh Dholakiam ◽  
Lutz Hamel ◽  
Seung-Kyoon Shin
Keyword(s):  
Knowledge Discovery ◽  
Relationship Marketing ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationships ◽  
Customer Relationship ◽  
Knowledge Discovery In Databases ◽  
Data Warehouses ◽  
Customer Data ◽  
Purchase Patterns

Customer relationships are increasingly central to business success (Kotler, 1997; Reichheld & Sasser, 1990). Acquiring new customers is five to seven times costlier than retaining existing customers (Kotler, 1997). Simply by reducing customer defections by 5%, a company can improve profits by 25% to 85% (Reichheld & Sasser, 1990). Relationship marketing—getting to know customers intimately by understanding their preferences—has emerged as a key business strategy for customer retention (Dyche, 2002). Internet and related technologies offer amazing possibilities for creating and sustaining ideal customer relationships (Goodhue, Wixom, & Watson, 2002; Ives, 1990; Moorman, Zaltman, & Deshpande, 1992). Internet is not only an important and convenient new channel for promotion, transactions, and business process coordination; it is also a source of customer data (Shaw, Subramaniam, Tan, & Welge, 2001). Huge customer data warehouses are being created using advanced database technologies (Fayyad, Piatetsky- Shapiro, & Smyth, 1996). Customer data warehouses by themselves offer no competitive advantages: insightful customer knowledge must be extracted from such data (Kim, Kim, & Lee, 2002). Valuable marketing insights about customer characteristics and their purchase patterns, however, are often hidden and untapped (Shaw et al., 2001). Data mining and knowledge discovery in databases (KDD) facilitate extraction of valuable knowledge from rapidly growing volumes of data (Mackinnon, 1999; Fayyad et al., 1996). This article provides a brief review of customer relationship issues. The article focuses on: (1) customer relationship management (CRM) technologies, (2) KDD techniques, and (3) Key CRM-KDD linkages in terms of relationship marketing. The article concludes with the observations about the state-of-the-art and future directions.

scholarly journals Sistem Informasi Penjualan Dengan Fitur Customer Relationship Management (CRM) Pada Tria Salon Berbasis Web

2019 ◽  
Vol 1 (3) ◽  
pp. 165-174
Author(s):  
Welda Welda ◽  
Bagus Baskara Sukarma ◽  
Emmy Febriani Thalib
Keyword(s):  
Customer Relationship Management ◽  
Customer Loyalty ◽  
Relationship Management ◽  
Customer Relationship ◽  
Web Based ◽  
Customer Data ◽  
Transaction Data ◽  
To Come ◽  
Service Data ◽  
Incorrect Data

Sales is a transaction carried out by two or more parties between one person to another with a valid payment that generates an income. One of the factors of success of sales is to maintain good relationships with customers, such as giving special promotions to Pelaggan so that customers will continue to come to buy products or services offered by a company.In this study found problems such as the difficulty of determining customer loyalty, the difficulty of determining the product that must be stocked a lot, the difficulty in recording transactions because of the possibility of missing or incorrect data due to Tria salon still recording data in the ledger. In addition, other problems that arise are the delivery of promotions that take more time due to having to send the same message one by one to the customer.The solution to solving this problem is to build a sales information system with web-based customer relationship management (CRM) features. Which later can help admin performance in managing customer data, managing product and service data and managing transaction data. In addition, it can help salon owners in managing customer reports and transaction reports and can provide promotions to all customers.From the results of blackbox testing that has been done, the results obtained are that the test is in accordance with the process that is run and produces an output that is in accordance with the system functions that have been defined.

scholarly journals PENGARUH CUSTOMER RELATIONSHIP MANAGEMENT (CRM) TERHADAP PRODUCT KNOWLEDGE DAN LOYALTY INTENTION PADA NASABAH PT. BANK BNI SYARIAH CABANG MATARAM

2019 ◽  
Vol 8 (3) ◽  
Author(s):  
Magma Zulfiqar Ismail ◽  
Sulhaini Sulhaini ◽  
Handry Sudiartha Athar
Keyword(s):  
Customer Relationship Management ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Relationship Management ◽  
Customer Relationship ◽  
Equation Modeling ◽  
Product Knowledge ◽  
Consumer Loyalty ◽  
Bank Branch ◽  
Loyalty Intention

This study aims to determine the effect of Customer Relationship Management on Product Knowledge and Customer Loyalty Intention PT. Bank BNI Syariah Mataram Branch. And to find out the effect of Product Knowledge on Customer Loyalty Intention, PT. Bank BNI Syariah Mataram Branch. The type of research used is causality with a non purposive sampling technique. The population in this study is the customer of PT. Bank BNI Syariah Mataram Branch in the past year amounted to 100 respondents with data collection techniques using questionnaires. Data analysis uses path analysis with the help of Structural Equation Modeling (SEM) with AMOS Software.The results of the study show that; Customers Relationship Management (CRM) has a positive and significant effect on Product Knowledge at the BNI BNI Syariah Bank Branch. Product Knowledge has a positive and significant influence on consumer Loyalty Intention at the BNI BNI Syariah Bank Branch. Customers Relationship Management (CRM) has a positive and significant influence on consumer Loyalty Intention at the BNI BNI Syariah Bank Branch.Keywords : Customers Relationship Management (CRM), Product Knowledge dan Loyalty Intention

Customer Relationship Management as an Imperative for Academic Libraries

2016 ◽  
pp. 1641-1674
Author(s):  
Amanda Xu ◽  
Sharon Q. Yang
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Academic Libraries ◽  
Linked Data ◽  
Trust Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Customer Group

This chapter proposes a conceptual model, the 121 e-Agent Framework, for Customer Relationship Management (CRM) in academic libraries. Linked data and Semantic Web are the core components of this model. The implementation of the Framework will enable the participating U.S. academic libraries to reach out to their user communities through systematic customer group identification, differentiation, and interaction. The main contributions of the chapter are 1) applying Semantic Web technologies for CRM in academic libraries using the 121 e-Agent Framework, 2) defining the relevance challenges of CRM for academic libraries, 3) adding trust management to the linked data layer with a touch of tagging, categorizing, query log analysis, and social ranking as part of the underlying structure for distributed customer data filtering on the Web in CRM applications, and 4) making the approach extensible to address the challenges of CRM in other fields.

Data-Driven Customer Centricity

2015 ◽  
pp. 157-174
Author(s):  
Othman Boujena ◽  
Kristof Coussement ◽  
Koen W. de Bock
Keyword(s):  
Competitive Advantage ◽  
Customer Relationship Management ◽  
Predictive Analytics ◽  
Relationship Management ◽  
Customer Behavior ◽  
Customer Relationship ◽  
Data Driven ◽  
Customer Data ◽  
Business Environments ◽  
Customer Centricity

Customer relationship management (CRM) is becoming a very hot topic nowadays in academia and business environments. Indeed, companies are constantly searching for new innovative ways to create or maintain their competitive advantage. Due to the recent advances in Internet and technology, CRM predictive analytics is becoming an important tool in the toolset of the marketer. It is the practice of using the huge volumes of historical customer data to predict future customer behavior. This chapter introduces the reader to the shift towards a data-driven customer centricity approach, where marketers act upon what they know, rather than upon what they think.

Customer Relationship Management as an Imperative for Academic Libraries

2016 ◽  
pp. 395-428
Author(s):  
Amanda Xu ◽  
Sharon Q. Yang
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Academic Libraries ◽  
Linked Data ◽  
Trust Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Customer Group

This chapter proposes a conceptual model, the 121 e-Agent Framework, for Customer Relationship Management (CRM) in academic libraries. Linked data and Semantic Web are the core components of this model. The implementation of the Framework will enable the participating U.S. academic libraries to reach out to their user communities through systematic customer group identification, differentiation, and interaction. The main contributions of the chapter are 1) applying Semantic Web technologies for CRM in academic libraries using the 121 e-Agent Framework, 2) defining the relevance challenges of CRM for academic libraries, 3) adding trust management to the linked data layer with a touch of tagging, categorizing, query log analysis, and social ranking as part of the underlying structure for distributed customer data filtering on the Web in CRM applications, and 4) making the approach extensible to address the challenges of CRM in other fields.

scholarly journals Customer relationship management: Are software applications aligned with business objectives?

2006 ◽  
Vol 37 (2) ◽  
pp. 17-32 ◽  
Author(s):  
M. L. Hart
Keyword(s):  
South African ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Strategy Formulation ◽  
Customer Data ◽  
Business Objectives ◽  
Software Applications ◽  
Customer Data Integration

Customer relationship management (CRM) can be thought of as IT-enabled relationship marketing. It has numerous definitions and perspectives, and success of implementation has been limited to date. This paper examines recent literature on the subject, drawing attention to the importance of a balance between strategy formulation, IT and organisational alignment when adopting and implementing CRM. It then discusses results of an exploratory study carried out amongst 34 South African organisations on their business objectives for CRM, the CRM applications that they have invested in or are considering, and the extent of integration of their customer data. The most important objectives and most widely used CRM applications are determined, and associations between applications and objectives are analysed. It is not apparent that CRM applications are selected in line with business objectives, and expected associations with objectives often do not exist for the objectives rated most important. Only certain aspects of customer data integration are significantly linked to objectives or CRM applications. The study suggests the need for fuller determination of strategy and objectives when involved with CRM investigation and adoption, and co-ordination at all levels of implementation between Marketing and IT.

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