Results (61)
Search Parameters:
Keyword: CustomerPredictive Analytics in Marketing: Evaluating its Effectiveness in Driving Customer Engagement
Understanding and responding to customer feedback is critical for business success. Customer response data offers valuable insights into preferences, behaviours, and sentiment. By analysing this data, businesses can optimize strategies, enhance customer experiences, and drive growth. Many analysis have been conducted in this field, while the review covers a broad range of AI and ML…
Read MoreFactors Affecting the Decision of Selecting Banking to Save Money of Individual Customers – Experimental in Da Nang City
The purpose of this study is to evaluate the factors affecting the decisions of factors affecting the decision of individual customers to choose a savings bank at commercial banks in Da Nang city. . Through the use of appropriate research methods, the authors have found that there are 5 factors with 5 groups of factors…
Read MoreCustomer Behavior of Green Advertising: Confirmatory Factor Analysis
The implementation of green advertising is relatively low for credibility but has an impact on green customer behavior. Based on the phenomenon, the purpose of this study is to examine factors affecting green advertising development, which is based on experienced customers towards products and advertisements and environmental issues. This research focuses on customers to create…
Read MoreDeterminants of Technological and Innovation Performance of the Nepalese Cellular Telecommunications Industry from the Customers’ Perspective
The study aimed to understand and analyze the technological and innovation performance measures of the Nepalese cellular telecommunications industry from the customers’ perspective. The measures like network service quality, signal strength and coverage, voice quality, and calls drop are used for technological performance, whereas measures like product/service innovation, process innovation, customization, competitive innovation, and marketing…
Read MoreInventory Management Practices during COVID 19 Pandemic to Maintain Liquidity Increasing Customer Service level in an Industrial Products Company in Mexico
This work presents the development and improvement obtained by implementing inventory managing practices during the COVID 19 pandemic in a Mexican company, a leader in the industrial sector to overcome the effects on the Company’s economies due to constrained market to maintain liquidity and preserve employment by increasing customer service level ensuring the availability of…
Read MoreThe Effect of E-Service Quality on Customer Satisfaction and Loyalty (Case Study at E-Marketplace XYZ in Indonesia)
Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry. Based on…
Read MoreSentiment Analysis on Utilizing Online Transportation of Indonesian Customers Using Tweets in the Normal Era and the Pandemic Covid-19 Era with Support Vector Machine
Online transportation in Indonesia is a new trend of transportation that is currently used among the lower to upper society. The change in behavior began in 2011 and is growing to this day, The comments that are growing on social media are very important for the online transportation company the negative comments lower the level…
Read MoreCustomer Satisfaction Recognition Based on Facial Expression and Machine Learning Techniques
Nowadays, Customer satisfaction is important for businesses and organizations. Manual methods exist, namely surveys and distributing questionnaires to customers. However, marketers and businesses are looking for quick ways to get effective and efficient feedback results for their potential customers. In this paper, we propose a new method for facial emotion detection to recognize customer’s satisfaction…
Read MoreBalance as One of the Attributes in the Customer Segmentation Analysis Method: Systematic Literature Review
The banking industry is very competitive. To utilize the information, they have in order to be a competitive advantage winner is reasonably very crucial for the company. At present, the company does not only focus on the company’s strategy that prioritizes products (e.g. product or service oriented), however also necessitates to focus on the company’s…
Read MoreComparison Analysis between Mobile Banking and Mobile Payment as Determinant Factors of Customer Privacy
Mobile banking and mobile payment are currently always used by customers for financial payments. With customer payments, it is usually easier to make payments with mobile payment, because it is more practical and direct than mobile banking. However, is the privacy of both platforms understood by the customer? Research questions to be answered: 1) What…
Read MoreClassification Model of Contact Center Customers Emails Using Machine Learning
E-mail is one of the media services used at the contact center. The challenge faced by e-mail services is how to handle e-mails that enter large quantities every day efficiently to provide fast and appropriate service to customers. The purpose of this study is to find which method has the best accuracy in classifying emails…
Read MoreSystem-Level Test Case Design for Field Reliability Alignment in Complex Products
Achieving targeted reliability for complex products in real-world field environments remains a persistent challenge, even when laboratory validation suggests high performance. A significant reliability gap often emerges during the initial deployment phase, typically within the first one to five years where field failure rates can be up to twice those predicted in controlled settings. Compounding…
Read MoreCooperative Game Theory for Grid Service Pricing: A Utility-Centric Approach
This study presents a novel alternative to traditional Net Energy Metering (NEM) by proposing a set of innovative pricing schemes for solar customers participating in utility-led grid service programs through the aggregation of Distributed Energy Resources (DERs). Grounded in cooperative game theory, the proposed framework facilitates equitable and efficient value allocation among key stakeholders, namely…
Read MoreThe Impact of Digitalization on Shipbuilding as Measured by Artificial Intelligence (AI) Maturity Models: a Systematic Review
Artificial Intelligence (AI) is reshaping the global shipbuilding sector, yet existing maturity models fail to capture the domain-specific complexities of this capital-intensive industry. This study reviews over 50 AI maturity models and introduces a specialized framework tailored for shipbuilding. The proposed model outlines four progressive stages—Beginner, Innovation, Integration, and Expert—across eight key dimensions: culture, resilience,…
Read MoreDevelopment and Application of Value Karuta to Understand Value in Lean Management: Initial Small-group Trial in Japan and the UK
This study proposes the Value Karuta (VK), an application of the traditional Japanese card game karuta. Its goal is to contribute to the understanding of value, which is the first principle of lean management. After stating the problems of lean management and the specifications of VK, this paper confirms the validity of the proposal by…
Read MoreDigitalization Review for American SMEs
SME big data maturity models will be reviewed in this study to identify systematic publications related to the subject. For SMEs to remain competitive, digitalization is essential. Due to limited resources, SMEs need to be more proactive in digitalization. Still, the benefits, such as operational efficiency, cost reduction, quality improvement, and innovative culture, make digitalization…
Read MoreOn Mining Most Popular Packages
In this paper, we will discuss two algorithms to solve the so-called package design problem, by which a set of queries (referred to as a query log) is represented by a collection of bit strings with each indicating the favourite activities or items of customers. For such a query log, we are required to design…
Read MoreAn Adaptive Heterogeneous Ensemble Learning Model for Credit Card Fraud Detection
The proliferation of internet economies has given the corporate world manifold advantages to businesses, as they can now incorporate the latest innovations into their operations, thereby enhancing ease of doing business. For instance, financial institutions have leveraged credit card usage on the aforesaid proliferation. However, this exposes clients to cybercrime, as fraudsters always find ways…
Read MoreApplication of Lean Practices in Food Supply Chain: The Case of Morocco
Recent studies show the benefits of lean manufacturing implementation in agri-food industries to improve operational and environmental performance. However, only a restricted number of studies have addressed the implementation of lean practices in food companies located in developing countries. This study aims to assess the current implementation status of lean practices in Moroccan agri-food companies,…
Read MoreAccuracy Improvement-Based Wireless Sensor Estimation Technique with Machine Learning Algorithms for Volume Estimation on the Sealed Box
Currently, the quality and quantity of product must be inspected before transporting. Currently the popular unsealing box product inspecting is performed by weighing the box where the errors occur according to the tolerance of the weighting machine and tolerance weight of the product. On the other hand, the quantity of product can be inspected automatically…
Read MoreRedesign and Improvement in the Management of the Raw Material Inventory Control Process with Oracle APEX
Having reasonable inventory control is a priority for any company because a lack of inventory could incur economic losses. Not having the necessary stock for the timely production of your orders could generate dissatisfaction in your customers and possibly cause them to lose them. Likewise, reasonable inventory control allows quick decision-making for the company’s benefit.…
Read MoreSensitive Analysis in Holding and Penalty Costs for the Stochastic Sequencing Problem in Agile Manufacturing
In agile manufacturing, due to the desire to meet customer’s requirements, processing times are stochastic because operations could be done by robots or humans. This can cause several problems in scheduling the jobs, and it is necessary to select the dispatch rule with the least change in costs and times, to respond quickly to different…
Read MoreA Novel Algorithm Design for Locating Fault Distances on HV Transmission Lines
The transmission network has been considered among the globe’s prevalent complex systems, comprised of hundreds of electrical transmission lines and other equipment used to transmit electrical energy from one location to another. Over a decade, power engineers have worked tirelessly to ensure that the transmission network operates reliably, transmitting electrical energy from the power station…
Read MoreThe Design and Implementation of Intelligent English Learning Chabot based on Transfer Learning Technology
Chatbot operates task-oriented customer services in special and open domains at different mobile devices. Its related products such as knowledge base Question-Answer System also benefit daily activities. Chatbot functions generally include automatic speech recognition (ASR), natural language understanding (NLU), dialogue management (DM), natural language generation (NLG) and speech synthesis (SS). In this paper, we proposed…
Read MoreSegmentation of Stocks: Dynamic Dimensioning and Space Allocation, using an Algorithm based on Consumption Policy, Case Study
This paper addresses the stock management aspect. Through this work, we provide a dynamic model of dimensioning and allocation of stocks to storage location for the automotive industry field. This model takes into consideration all constraints of the supply chain (24 constraints) from the suppliers passing by production, storage up to customer delivery and transport.…
Read More
