The E-Commerce Investment and Enterprise Performance Based on Customer Relationship Management

In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information sharing and business process collaboration between enterprises and customers can be realized. This kind of e-service activity based on e-commerce process is particularly important for customers. However, many business managers have some doubts about the implementation of customer service-oriented online business activities, because customer service-oriented online business activities need a lot of IT investment, and the performance of this e-business activities is not easy to measure.

The E-Commerce Investment and Enterprise Performance Based on Customer Relationship Management

In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information sharing and business process collaboration between enterprises and customers can be realized. This kind of e-service activity based on e-commerce process is particularly important for customers. However, many business managers have some doubts about the implementation of customer service-oriented online business activities, because customer service-oriented online business activities need a lot of IT investment, and the performance of this e-business activities is not easy to measure.

Banking Management System Using Salesforce

It is felt that Modern Banking has become wholly customer – driven and technology driven. During the last decade, technology has been dramatically transforming the banking activities in India. Driven by challenges on competition, rising customer expectation and shrinking margins, banks have been using technology to reduce cost. Apart from competitive environment, there has been deregulation as to rate of interest, technology intensive delivery channel like Internet Banking, Tele Banking, Mobile banking and Automated Teller Machines (ATMs) etc. have created a multiple choice to user of the bank. The banking business is becoming more and more complex with the changes emanating from the liberalization and globalization. For a new bank, customer creation is important, but an established bank it is the retention is much more efficient and cost effective mechanism. Customer Relationship Management (CRM) would also make Indian bankers realize that the purpose of their business is to create and keep a customer and to view the entire business process as consisting of Highly Integrated effort to discover, create and satisfy customer needs. But it is surprising to note that much of the activities of the banking and financial remain focused on customer creation not retention.

Deep Learning Based Customer Preferences Analysis in Industry 4.0 Environment

Customer preferences analysis and modelling using deep learning in edge computing environment are critical to enhance customer relationship management that focus on a dynamically changing market place. Existing forecasting methods work well with often seen and linear demand patterns but become less accurate with intermittent demands in the catering industry. In this paper, we introduce a throughput deep learning model for both short-term and long-term demands forecasting aimed at allowing catering businesses to be highly efficient and avoid wastage. Moreover, detailed data collected from a business online booking system in the past three years have been used to train and verify the proposed model. Meanwhile, we carefully analyzed the seasonal conditions as well as past local or national events (event analysis) that could have had critical impact on the sales. The results are compared with the best performing forecast methods Xgboost and autoregressive moving average model (ARMA), and they suggest that the proposed method significantly improves demand forecasting accuracy (up to 80%) for dishes demand along with reduction in associated costs and labor allocation.

Multi Clustering Recommendation System for Fashion Retail

Fashion retail has a large and ever-increasing popularity and relevance, allowing customers to buy anytime finding the best offers and providing satisfactory experiences in the shops. Consequently, Customer Relationship Management solutions have been enhanced by means of several technologies to better understand the behaviour and requirements of customers, engaging and influencing them to improve their shopping experience, as well as increasing the retailers’ profitability. Current solutions on marketing provide a too general approach, pushing and suggesting on most cases, the popular or most purchased items, losing the focus on the customer centricity and personality. In this paper, a recommendation system for fashion retail shops is proposed, based on a multi clustering approach of items and users’ profiles in online and on physical stores. The proposed solution relies on mining techniques, allowing to predict the purchase behaviour of newly acquired customers, thus solving the cold start problems which is typical of the systems at the state of the art. The presented work has been developed in the context of Feedback project partially founded by Regione Toscana, and it has been conducted on real retail company Tessilform, Patrizia Pepe mark. The recommendation system has been validated in store, as well as online.

Marketing Performance Sustainability in the Jordanian Hospitality Industry: The Roles of Customer Relationship Management and Service Quality

This study examines the mediating role of service quality between customer relationship management (CRM) performance dimensions and the marketing performance of Jordanian hotels using resource-based view theory and contingency theory. A self-administered survey was conducted on 162 general managers of hotels in Jordan. The data were analyzed using partial least squares structural equation modelling. The findings of the study indicated that service quality mediated the relationship between the CRM performance dimensions (key customer focus, CRM knowledge management, CRM organization, and CRM-based technology) and the marketing performance of Jordanian hotels. This study provides significant contributions to theory and practice. From a theoretical perspective, this study fills in the literature gaps by providing insights about the mediating role of service quality in the relationship between customer relationship management performance dimensions and marketing performance. For managerial contributions, this study suggested that hotels can enhance their marketing performance by focusing on service quality and customer relationship management performance dimensions, especially the key customer focus dimension.

Application of the E-Bussines Concept to a Double Bread Company (Case Study of FEBI UINSU Students)

With the large number of fans of Roti Ganda outside the Pematang Siantar area, therefore an E-business implementation system is needed in the company. The use of e-business technology facilitates company performance and improves company quality. The application of this technology can expand the company's market share, especially the cost for advertising which is cheap compared to advertising on the street and mass media. There needs to be socialization and in-depth learning as well as careful preparation before implementing e-business applications. In the process of designing the application of E-Business at a web- based Double Bakery Shop with a CRM (Customer Relationship Management) approach, an explanation or theory is needed that can support and support success in making the information system and to explain to users how the functions and benefits of implementing E-Business are needed. on a web-based Double Bakery with a CRM approach.

Customer Relationship Management (CRM)Practices of Public and Private Sector Banks

The banking sector plays a crucial role in the economic development of a country. For the success of any bank customers’ play a prominent role in its growth. Implementing good customer relationship management practices improves the profits of banks. Retaining the customer and convert the customer to be a loyal one is most protruding. For the bank, retentions attain a greater benefit compare with acquiring new customers. Sustain the old customer is much more pivotal than attracting the new one. For this, effective customer relationship management practices help in the returns of the bank. Customer service and satisfaction differentiate the virtuous banking sector. The present study focuses on comparing the customer relationship management practices of public and private sector banks. A survey is done with 1200 customers using the convenience sampling method. 600 respondents from SBI & Andhra bank of public sector banks and the remaining 600 are from HDFC and ICICI banks of the private sector were chosen for the survey. An Empirical study with descriptive statistics, mean and frequency distribution, chi-square, mean ranks, reliability analysis is used to evaluate data. From the findings, it is observed that customers opted for public sector banks for the trust factor, and for effective products and services customers are satisfy more with private sector banks than compared with public sector banks.

CRM system implementation and firm performance: the role of consultant facilitation and user involvement

Purpose The current research aims to answer the following question: To what extent and under what conditions does hiring consultants to implement a customer relationship management (CRM) system produce performance gains for companies? To answer this question, this research delves into the critical interdependent roles of CRM consultant resources (CR) and user involvement (UI) in overcoming CRM’s technological and organizational implementation challenges. Design/methodology/approach A quantitative field study methodology was used to empirically test the research hypotheses. Cross-sectional data (N = 126) were collected from large client companies using CRM technology. Partial least squares-structural equation modeling was used to estimate the significance levels of the structural model. Findings The findings indicate that the extent to which CRM consultants improve CRM system quality (SQ) and, ultimately, firm performance, largely depends on UI, which acts as the key facilitating mechanism to cope with application complexity (APP) and requirements uncertainty (REQ). Originality/value This research probes into the largely unexplored interactions between CRM CR, UI, APP and REQ. Using these parameters, this model successfully predicts CRM SQ and firm performance.