scholarly journals Determinan Nilai Pelanggan dan Implikasinya pada Kinerja Pemasaran Dealer Mobil SUV Premium

TRIKONOMIKA ◽  
2013 ◽  
Vol 12 (2) ◽  
pp. 156
Author(s):  
Aditya Wardhana

This study examines the implementation of market strategy and marketing mix strategy and customer relationship management affecting the customer value and its implication on the marketing performances. In this research, market strategy includes market segmentation and targeting, positioning. Marketing mix strategy includes products, price, place, and promotion (4 Ps), while the marketing performance includes sales volume, profit, and the market share. This study uses survey research method, data were collected from 100 heads of authorized dealers premium SUV in West Java and Banten Proviences as respondents, with data analysis using path analysis. Based on the research results, it was concluded that the performance of marketing authorized dealer of premium SUVs in West Java and Banten Proviences influenced by customer value, and customer value is affected by the implementation of market strategy, marketing mix strategy and management of customer relationship management either partially or simultaneously.

Author(s):  
Shorea Khaswarina ◽  
Sucherly ◽  
Umi Kaltum ◽  
R Rina Novianti Ariawaty

The coronavirus pandemic had disrupted almost all businesses in various sectors, one of which is the plantation sector. Smallholder rubber plantations in Riau Province, Indonesia have faced the very tough challenges of the coronavirus pandemic. Efforts that could be made were marketing rubber products by implementing market-based strategies, namely market strategy, marketing mix strategy, customer value and marketing performance. This study aimed to analyze the effects of market strategy, marketing mix strategy, and customer value on marketing performance in smallholder rubber plantations in Riau Province during the Covid-19 pandemic. Data collection was carried out using 45 respondents as heads of smallholder rubber plantation farmer groups in Riau Province. Data analysis used structural equation modeling-partial least square (SEM-PLS). The results show that market strategy and marketing mix strategy had a significant direct effect on customer value. Customer value had a significant direct effect on the marketing performance of smallholder rubber plantation farmer groups in Riau, while the market and marketing mix strategies had an indirect effect.


2020 ◽  
Vol 5 (1) ◽  
pp. 57-76
Author(s):  
Erna Resmiatini ◽  
Insiati Aisyah Hapsari Imanika

ABSTRACT In the midst of Indonesia's population, which is predominantly Muslim, Sharia Banks have begun to show significant developments. Seeing this, conventional banks have also begun adding sharia services in each of their products, in order to maintain the number of existing customers and expand market share. As the first sharia bank in Indonesia, Bank Muamalat Indonesia (BMI) continues its efforts to harmonize various strategies to win competition in the sharia banking industry, one of them is through the 7P’s Marketing Mix. Through this research, the application of the 7P’s marketing mix strategy at the Bank Muamalat Batu-Malang will be analyzed. This research is to add scientific studies in the field of marketing, especially related to the 7P’s Marketing Mix. This research was conducted using a qualitative approach. The results show that the Bank Muamalat Batu - Malang has implemented the 7P’s Marketing Mix well. Even so, it would be better if Bank Muamalat Batu - Malang synergized the 7P’s Marketing Mix that had been implemented, with developing a Customer Relationship Management (CRM) strategy. Keywords: Marketing, Strategy Marketing, 7P’s Marketing Mix


2017 ◽  
Vol 9 (7) ◽  
pp. 122 ◽  
Author(s):  
Lukmanul Hakim ◽  
Nanis Susanti ◽  
Ujianto

This study tried to determine and analyze the deeper understanding of the influence of customer relationship management, brand equity, perceived of product quality, perceived value and price to the customer at the customer's purchase intention Philips light bulb in Batam.The population in this study are all users (consumers) electric light bulb philips brands in the city of Batam. Testing of the model in this study, with Generalized Least Square Estimation (GLS), analysis of structural equation modeling (SEM), proportional random sampling method and software assistance Amos 22, on 240 respondents from eight times the 30 indicators the study variables. The test results indicate the model (fit) seen from the GFI, AGFI, TLI, CFI, RMSEA and CMIN / DF, each of 0915, 0901, 0949, 0953, 0063, and 1,376 are all that are in the range of expected values so that the model can be accepted.The results showed that: 1). Customer relationship management influence on customer value, it shows that with good customer relationship management program, will increase customer value. 2) Customer relationship management influence on purchase intention, it shows that with good customer relationship management program, will increase customer value. 3) Brand equity effect on customer value, it shows that with a good brand equity, will increase customer value. 4). Brand equity effect on purchase intention, it shows that with a good brand equity, will increase customer value. 5) Perceived quality of product effect on customer value, it indicates that the perceived quality of a good product, will increase customer value. 6). Perceived quality of product effect on purchase intention, this suggests that the perceived quality of a good product, will increase purchase intention. 7). Perceived price effect on customer value, it indicates that the perceived price friendly, will increase customer value. 8) Perceived price effect on purchase intention, this suggests that the perceived price friendly, will increase purchase intention. 9). Customer value effect on purchase intention, it shows that with high customer value, will raise the purchase intention.


2021 ◽  
Vol 2 (6) ◽  
pp. 2136-2142
Author(s):  
Dennis Rydarto Tambunan ◽  
Heru Kreshna Reza ◽  
Melly Susanti ◽  
Sabri

The importance of Customer Relationship Management (CRM) to help businesses acquire new customers, retain existing ones and maximize their lifetime value. This paper discusses the role of Customer Relationship Management in 4 bank units and the need for Customer Relationship Management to increase customer value by using several analytical methods in CRM applications. This paper attempts to identify the technological revolution witnessed by commercial banks and to what extent it has benefited banks to build better customer relationship management (CRM) services between public sector banks and private sector banks. The purpose of this study is 1) to analyze customer opinions about bank CRM in relation to service quality management. 2) To find out the customer's opinion about the bank's CRM on customer relationship management. This study uses primary and secondary data. Primary data will be collected by distributing structured questionnaires to conventional banks (Private and Government). Secondary data will be collected from records published by the financial services authority (OJS), standard textbooks and published research papers, and through web information. The primary data required will be collected from 6 banks in Bengkulu. In addition to collecting information from banks, it also collects information from the general public who have bank accounts.  


Webology ◽  
2021 ◽  
Vol 18 (SI03) ◽  
pp. 49-70
Author(s):  
Vu Minh Ngo ◽  
Quyen Phu Thi Phan ◽  
Hieu Minh Vu

Purpose: Despite the crucial contribution of social media on customer relationship management (CRM) strategies, how social CRM can be transformed into customer value, and economics returns for firms remain unexplored in the hospitality industry, especially in turbulent environments. As a new approach for dealing with both gradual and disruptive changes in the market, this study develops and tests the mediating role of dynamic capabilities in the social CRM - performance relationship. Methodology: Drawing on resource-based view and capabilities perspectives, a mixed methodology was applied. First, a survey was conducted to quantitatively test the proposed hypotheses using Structural Equation Modelling with PLS approach (PLS-SEM) on a sample consisting of 111 SEMs. Then, a qualitative fuzzy-set Comparative Analysis (fsQCA) was employed to look for the unique combinations of capabilities to achieve firms‟ superior performance. Findings: The outcomes indicated a mixture of expected and unexpected findings, including: (i) the direct effect of social CRM on firm‟s performance; (ii) Dynamic capabilities as the missing link between social CRM capabilities and firms‟ performance; (iii) the unique roles of social media technology use in the combinations with other capabilities for generating the best firms‟ performance. Originality: This study is among the few to consider the dynamic nature of the market when investigating how to implement Social CRM successfully. The insights and practical implications in this study can be useful for managers in SMEs whose desire is to build a dynamic system for improving customer value and firms‟ performance.


Author(s):  
Nastaran Mohammadhossein ◽  
Mohammad Nazir Ahmad ◽  
Nor Hidayati Zakaria

The purpose of this study is to investigate the efficacy of customer relationship management (CRM) benefits for customers in relation to customer satisfaction. A model has been developed and empirically tested through data collected from a survey of 150 customers of three Malaysian companies. The results indicate that the benefits of CRM for customers have had a significant positive effect on their satisfaction towards marketing companies. Personalized services, responsiveness to customers' needs, customer segmentation, customization of marketing, multichannel integration, time-saving and improving customer knowledge are the benefits that we proposed would affect customer satisfaction and significantly improve marketing performance. Additionally, the results reveal that all the benefits found, with the exception of time-saving, enhanced customer satisfaction. This paper contributes to the existing literature by incorporating the benefits of CRM for customers, and the relationships of these benefits with their satisfaction in the proposed model.


2015 ◽  
pp. 1268-1287
Author(s):  
Nastaran Mohammadhossein ◽  
Mohammad Nazir Ahmad ◽  
Nor Hidayati Zakaria ◽  
Shidrokh Goudarzi

The purpose of this study is to investigate the efficacy of customer relationship management (CRM) benefits for customers in relation to customer satisfaction. A model has been developed and empirically tested through survey data collected from 150 customers of three Malaysian companies. The results indicate that the benefits of CRM for customers have had a significant positive effect on their satisfaction in marketing companies. Personalized service, responsiveness to customer's needs, customer segmentation, customization of marketing, multichannel integration, time-saving and improving customer knowledge are the benefits that we proposed would affect customer satisfaction in order to significantly improve marketing performance. Additionally, the results reveal that all the benefits found, with the exception of time-saving, enhanced customer satisfaction. This paper contributes to the existing literature by incorporating the benefits of CRM for customers and the relationships of these benefits with their satisfaction in the proposed model.


Author(s):  
Kijpokin Kasemsap

This chapter introduces the framework and causal model of customer value, customer satisfaction, brand loyalty, and customer relationship management performance in terms of the innovative manufacturing and marketing solutions. It argues that dimensions of customer value, customer satisfaction, and brand loyalty have mediated positive effect on customer relationship management performance. Furthermore, brand loyalty positively mediates the relationships between customer value and customer relationship management performance and between customer satisfaction and customer relationship management performance. Customer value is positively correlated with customer satisfaction. Understanding the theoretical learning is beneficial for organizations aiming to increase customer relationship management performance and achieve business goals.


2016 ◽  
pp. 1362-1401
Author(s):  
Niccolò Gordini ◽  
Valerio Veglio

In the global market of today, Customer Relationship Management (CRM) plays a fundamental role in market-oriented companies to understand customer behaviors, achieve and maintain a long-term relationship with them, and maximize the customer value. Moreover, the digital revolution has made information easy and fairly inexpensive to capture. Thus, companies have stored a large amount of data about their current and potential customers. However, this data is often raw and meaningless. Within the CRM framework, Data Mining (DM) is a very popular tool for extracting useful information from this data and for predicting customer behaviors in order to make profitable marketing decisions. This research aims to demonstrate the classification decision tree as one of the main computational data mining models able to forecast accurate marketing performance within global organizations. Particular attention is paid to the identification of the best marketing activities to which firms should concentrate their future marketing investments. The criteria is based on the loss functions that confirm the accuracy of this model.


2012 ◽  
Vol 6-7 ◽  
pp. 995-999
Author(s):  
Mei Ling Zhou ◽  
Jing Jing Hao

BP neural network can learn and store a lot of input - output mode mapping, without prior reveal the mathematical equations describe the mapping. The model based on BP neural network algorithm is constituted by an input layer, output layer and one hidden layer, three-layer feed forward network. CRM is to acquire, maintain and increase the methods and processes of profitable customers. The core of CRM is the customer value management, customer value; it is divided into the de facto value, potential value and model value. The paper presents development of customer relationship management system in e-commerce based on BP neural network. The experiment shows BP is superior to RFCA in CRM.


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