Customer Profitability Research Articles

Quality Assurance Using Agile Applied in Organic Herbs Conditioning

Abstract The paper’s objective is to emphasize the applicability of AGILE Methodology in quality assurance of organic herbs conditioning. This paper begins with a brief overview of the theoretical components of quality assurance and a short introduction in AGILE Methodology emphasizing how may be applied in a variety of industries, such as the food processing industry and pharmaceutical industry. The goals of interdisciplinarity are customer happiness, productivity growth, and profit maximization.

Evaluation and Selection of Supplier in A Healthcare Supply Chain using Analytic Hierarchy Process under Fuzzy Environment

The aim of the supplier selection process is to reduce purchasing risks, boost customer profitability, and cultivate enduring, close relationships between suppliers and buyers. This process stands as a pivotal component of supply chain management (SCM), making supplier selection a critical concern for establishing an effective supply chain system. In this instance, a case study has been presented for supplier selection employing Analytic Hierarchy Process (AHP) in conjunction with the Multi-Criteria Decision Making (MCDM) technique. We have explained it using fuzzy data. It not only contributed on utility of fuzzy AHP methodology, but also provided comprehensive literature review of MCDM problems. Furthermore, by outlining the steps of fuzzy AHP in a straightforward numerical manner, this study can serve as a guide for implementing the methodology in other (MCDM) problems. In this study, we evaluate four suppliers using fuzzy AHP. This method can be used when one has to select one particular supplier from a number of suppliers in a short time span. It will be also helpful to the Pharmacists to select the best supplier who can fulfil all their needs. Despite the abundance of studies on supplier selection, there has been relatively less investigation into the evaluation and selection of suppliers using specific measures tailored to the healthcare sector. To bridge this gap, this research puts forth a guideline for selecting suppliers of baby hygiene products.. KEYWORDS :Supplier, AHP, Fuzzy, Evaluation, Supply chain management (SCM).

EVALUATING THE EFFECTIVENESS OF CUSTOMER COMPLAINT RESPONSES ON NMB MKONONI SATISFACTION: A CASE STUDY OF NMB BANK PLC IN DODOMA CITY, TANZANIA

This research examines the efficiency of customer complaint responses and their impact on satisfaction with NMB Mkononi services in Tanzania, specifically focusing on NMB Bank PLC in Dodoma City. The study aims to evaluate how effectively NMB handles customer complaints related to NMB Mkononi services. A sample of 124 respondents, including NMB Mkononi customers, staff, and branch managers, participated in the study. Data were gathered through questionnaires, interviews, and document reviews, and analyzed using both qualitative and quantitative methods. Findings indicated moderate usage of NMB Mkononi services in Dodoma City and effective responses to customer complaints by NMB Bank (total mean = 3.56). The study concludes that NMB must consistently deliver high-quality services to customers and recommends enhanced investment in reliable network infrastructure, ICT expertise, facilities, and technological adaptation to boost customer satisfaction and profitability.

Enhancing Bank Performance: Integrating Enterprise Risk Management with Mobile Banking Applications

This study investigates how the implementation of mobile banking and enterprise risk management (ERM) contributes to the success of financial institutions in a rapidly evolving financial environment. To understand the relationship between ERM, mobile banking adoption, and bank performance, we surveyed 250 senior bankers from the 25 largest banks in Indonesia using Partial Least Squares Structural Equation Modeling (PLS-SEM). Our findings indicate that effective ERM implementation positively affects bank performance. Mobile banking enhances customer convenience, streamlines operations, and broadens market reach, increasing customer satisfaction, operational efficiency, and profitability. Additionally, using mobile banking applications mediates the positive indirect impact of ERM on bank performance. This research highlights that ERM's effect on Indonesian banking performance is partly mediated by adopting mobile banking applications. The study contributes to the literature on RBV theory, which suggests that banks can create innovative ERM strategies and leverage its unique resources, such as mobile banking, to remain competitive and sustain their performance. The innovation aligns with the principles of TAM, which highlights the significance of perceived usefulness and ease of use in technology adoption.

Computational analysis of the Logistics Supply Chain from a global trade perspective

Global trade is based on coordinated factors, that means labor and products are moved from their point of origin to the point of use. Strategies have a significant impact on global trade because they enable the effective development of goods across international borders. The decision making is an important task for the development of Logistics Supply Chain (LSC) infrastructure and process. Decisions on supplier selection, production schedule, transportation routes, inventory levels, pricing strategies, and other issues need to be made. These decisions may have a big influence on customer service, profitability, operational efficiency, and overall competitiveness. The Artificial Intelligence (AI) approach of Fuzzy Preference Ranking Organization Method for Enrichment Evaluation (Fuzzy-Promethee-2) is used to assess the priority selection of the factors associated with the LSC and evaluate the importance in global trade. The role of AI is very useful compare to statistical analysis in terms of decision making. The computational analysis placed promotion of exports as the most important priority out of five selected attributes in LSC, with infrastructure development. The result suggests that LSC depends heavily on export promotion as the most significant attribute. Infrastructural development also appeared another factor influencing LSC. The foreign investment was ranked the lowest. The evaluated results are useful for the policy makers, supply chain managers and the logistics professionals associated with the supply chain management.

Customer Relationship Management (CRM) Strategy in an Effort to Maintain Customer Loyalty in Telkomsel Palu Branch

Building and maintaining good relationships with customers is one way to maintain the survival of the company. Customer Relationship Management is a disciplined approach to developing and maintaining profitable customer relationships. One thing that can be done to maintain customer loyalty and increase profits is to improve the quality of service through the concept of CRM strategy. Therefore, the purpose of this study is to determine the CRM strategy carried out by Telkomsel Branch Palu in an effort to maintain customer loyalty. This study is qualitative in nature using data collection techniques by conducting observations and in-depth interviews with four informants who have been selected through purposive sampling techniques, namely SPV Mobile Consumer, CX Commander, priority customers and regular customers of Telkomsel Branch Palu. The results of the study obtained are that Telkomsel Branch Palu has implemented a CRM strategy through the Telkomsel Prestige Loyalty program. Telkomsel Prestige is a loyalty program for Telkomsel and Indihome priority customers. In running the loyalty program, Telkomsel Branch Palu carries out a form of Marketing Communication, especially in the Public Relations aspect as a form of communication that focuses on building and maintaining good relationships and the company's image. In addition, Telkomsel Branch Palu also carries out several stages in the CRM strategy, namely 1) Customer Identification by collecting customer data and can be accessed on the Telkomsel database portal. 2) Differentiate Customer, Telkomsel groups its customers into two categories, namely regular customers and priority customers and priority customers have membership levels ranging from Gold-Diamond. The goal is to focus more on interactions with customers who are considered to provide many benefits. 3) Interact with Customers by actively interacting with customers such as providing information media or special reports, making routine visits for Birthdays, Exchange Points, Hard Complain, special visits and creating loyalty activities for priority customers. 4) Customize some Aspects, namely by making adjustments to priority customers and regular customers such as making special visits on big days, giving greetings, participating in enlivening or welcoming special days by making decorations in the service room

Impact of first impressions on female consumer behavior and adapting sales psychology in the automotive industry in semi-urban Vijayawada, India

Owing to the immense population of India (approximately 1,428,627,663) and the high drive towards advancing transportation, India has become a hot spot for the automobile industry to prove itself and witness extreme growth. This growth is fueled by the high profitability of customers, distributors, and consumers in their target market, attracting globally successful brands like Hyundai, Kia, and Toyota (Das, 2021). In the United States, women buy 62% of all new cars sold and influence more than 85% of all car purchases. Interestingly, in India, a report by Spinny indicates that 80% of passenger-car buying decisions are taken by women in the family. Additionally, 46% of second-hand car buyers are women (Mukherjee, 2016). As the sales industry and psychology collaborate to boost profitability, this paper is a study highlighting the current female consumer behavior in India and the techniques used to adapt sales psychology to increase profitability in the female consumer market.

Data Visualization of Bike Store Sales in Europe

This paper presents a comprehensive analysis of bike sales and customer demographics in Europe based on a dataset obtained from Kaggle.com. The dataset covers the period from 2011 to 2016 and includes information on customer age, gender, product categories, order quantities, unit costs, unit prices, profit, and revenue. The analysis utilizes data visualization techniques to identify key trends, including the top-selling products, customer purchasing power across different age groups and customer genders, and product profit margins. The findings suggest opportunities for retailers to target specific customer segments and product categories to maximize profits. Additionally, the report highlights the growing popularity of cycling as a sport and a healthy lifestyle choice, indicating a potential for increased demand in the bike retail market. Overall, the insights provided in this report aim to assist retailer chains in developing effective strategies to capitalize on the opportunities presented by the European bike sales market.

PENGARUH SOCIAL MEDIA MARKETING DAN INOVASI PRODUK TERHADAP BUSINESS PERFORMANCE PADA SENTRA INDUSTRI KERIPIK TEMPE “SANAN” KOTA MALANG

This study analyzes the impact of Social Media Marketing and Product Innovation on business performance in the tempe chip industry at Sentra Tempe Sanan, Malang City. Despite increasing competition from new culinary businesses leveraging social media and innovative products, the tempe chip industry in Sanan has maintained its market presence.Using regression analysis, the study finds that Social Media Marketing significantly improves business performance, enhancing brand awareness and customer engagement. Product Innovation also positively impacts performance, increasing customer numbers, creativity, and profits. Together, these factors explain 69% of the variation in business performance at Sentra Tempe Sanan.The findings suggest that optimizing social media marketing and continuous product innovation are crucial for sustaining competitiveness in the local market. This research offers practical insights for tempe chip producers in Sanan to improve their business strategies.

Building Digital Trust and Rapport in the Tourism Industry: A Bibliometric Analysis and Detailed Overview

In the rapidly changing environment of the tourism business, building digital trust and rapport has appeared as a critical factor for sustaining profitable customer relationships and confirming long-term business survival. This study aims to provide a comprehensive overview of the research landscape with respect to digital trust and rapport establishment within the tourism context using techniques for bibliometric analysis in conjunction with visualization. This research paper explores publication trends, identifies key journals and authors, and determines the most productive countries, academic institutions, and primary research keywords. It involves analyzing publications from the Scopus database focusing on the duration between 2014 and 2023. The findings show that the digital trust and rapport-building literature expands its importance within the tourism industry due to factors such as competition pressure; customers’ high expectations; the incorporation of technology; and, most recently, the occurrence of pandemics like the COVID-19 pandemic. The US, in particular, can be identified as the most productive country in this research area. The International Journal of Contemporary Hospitality Management and the International Journal of Hospitality Management appear to be popular scientific publications on this topic. They present the following main research themes: customer engagement, employee conduct, and technology in the construction of trust. This study also underscores the practical role of the findings in successful endeavors within the field, detailing how cultural sensitivity, technological incorporation, and accessibility in service provision would contribute to building digital trust with international customers. Potential future research directions are proposed to advance the understanding of culture, technology, the effects of crises, and the application of other research methods.

Leveraging Vendavo for Strategic Pricing Management and Profit Analysis

In today's competitive market landscape, effective pricing strategies are paramount for maximizing profitability and sustaining a competitive edge. This paper explores the utilization of Vendavo, a leading pricing and profit optimization software, as a strategic tool for pricing management and profit analysis. Vendavo provides businesses with advanced analytics, allowing for data-driven decision-making that enhances pricing accuracy and responsiveness to market fluctuations. By leveraging its capabilities, organizations can identify pricing opportunities, evaluate customer profitability, and implement strategic pricing models tailored to their unique market segments. The integration of Vendavo into pricing processes facilitates real-time insights and fosters a culture of continuous improvement in pricing practices. This paper examines case studies highlighting the impact of Vendavo on organizations' bottom lines, demonstrating how strategic pricing management can lead to increased revenue, improved customer satisfaction, and enhanced market positioning. Additionally, the study addresses the challenges companies face when adopting sophisticated pricing solutions and offers best practices for successful implementation. Ultimately, this research underscores the importance of leveraging advanced pricing technologies like Vendavo in a dynamic business environment. By adopting a strategic approach to pricing management and profit analysis, organizations can navigate market complexities more effectively, ultimately driving sustainable growth and profitability. The findings advocate for a holistic view of pricing as a critical element of overall business strategy, reinforcing the need for organizations to invest in robust pricing tools to remain competitive.

Exploring the impact of customer profitability analysis on firms’ strategic performance

Exploring the impact of customer profitability analysis on firms’ strategic performance

HR Re-engineering Elevates Banking Performance in Commercial Banks

General Background: Re-engineering human resources (HR) is a critical method for enhancing organizational efficiency and performance, especially in sectors like banking where customer satisfaction, employee satisfaction, profit growth, and diversity of services are pivotal. Specific Background: This research investigates the impact of HR re-engineering on banking performance, focusing on organizational, human, and technological dimensions. Knowledge Gap: Despite extensive studies on HR re-engineering, its direct correlation with banking performance, particularly in commercial banks, remains underexplored. Aims: The study aims to clarify and apply HR re-engineering methods to improve banking performance, using a questionnaire, personal interviews, and field observations on a random sample of 200 respondents, analyzed via SMART PLS software. Results: Statistical analysis revealed a significant correlation between HR re-engineering and improved bank performance. Key findings indicate that HR re-engineering enhances employee morale and organizational efficiency, ultimately boosting customer satisfaction, employee satisfaction, profit growth, and service diversity. Novelty: This study uniquely combines multiple data collection methods and advanced statistical analysis to provide robust evidence of the positive impact of HR re-engineering on banking performance. Implications: The findings suggest that banks should invest in HR re-engineering programs, focusing on training, skill development, and technological integration to improve performance. These programs should be supported by adequate material and financial resources to ensure their success, thereby enhancing the competitive edge of banks in a dynamic environment. Highlights: Correlation and Impact: HR re-engineering boosts banking performance significantly. Methodology: Used questionnaires and SMART PLS for robust analysis. Implementation: Invest in HR training and technology for enhanced competitiveness. Keywords: HR re-engineering, banking performance, customer satisfaction, employee satisfaction, SMART PLS

The Effects of a Digital Marketing Orientation on Business Performance

Customer relationship management (CRM) has become increasingly important as a result of the pressure organizations are under to remain competitive. CRM has been and is widely promoted as essential to a company’s ability to survive. According to this study, CRM is more than just a computer program or software package. We believe that for organizations to use CRM effectively, it must be viewed from a strategic point of view. Therefore, this study focuses on the consequences of digital marketing on business performance, specifically, the consequences of customer relationship orientation and the use of CRM technologies as a support for analysis, data integration, and access on business performance. This study addresses a contemporary and relevant research problem that has national and international relevance. The research is based on quantitative methods to test hypotheses. Data were gathered from 73 organizations. The findings show the relationships between CRM and customer satisfaction, market effectiveness, and profitability. Customer relationship orientation positively affects customer satisfaction, market effectiveness, and market profitability. CRM technologies significantly improve business performance. This research contributes to the existing knowledge by shedding light on the complex relationships among CRM, customer relationship orientation, market effectiveness, market profitability, and customer satisfaction. Based on the research results, we provide practical recommendations for managers and decision makers.

Analysis and Design of Customer Relationship Management System on the SMEs Using Iconix Process

Background: Integrating Customer Relationship Management (CRM) systems is crucial for small and medium enterprises (SMEs) to enhance customer relations and profitability. Many SMEs in Indonesia, including Go-Sumber Plastik, still need to fully utilize CRM systems, which are essential for managing customer data, improving satisfaction, and retaining customers. Objective: The purpose of this research is to analyze and design a web-based CRM system for Go-Sumber Plastik using the Iconix Process methodology to enhance user interaction and overall system effectiveness. Methods: The study employed the Iconix Process methodology, which includes a use case, robustness, sequence diagrams, a GUI prototype, and a test plan. The design was tested using Maze to measure user interaction efficiency and satisfaction. Results: The research revealed significant challenges in user understanding of the CRM system, particularly in managing activities and adding customer information. Tasks such as reporting and logging in had good user performance. The overall user interaction score was 81.1, indicating moderate effectiveness of the initial design. Conclusion: The results underscore the necessity for a more intuitive and streamlined CRM system interface for Go-Sumber Plastik. Implementing an effective CRM system can improve SMEs' competitiveness and profitability by systematically enhancing communication, managing customer data, and boosting business performance. Future research should focus on refining the user interface to reduce error rates and improve task completion efficiency. Enhanced visibility and user guidance are recommended to optimize system usability and customer satisfaction.

Saving Dan Investasi Dalam Produk Mudharabah Pada Lembaga Keuangan Syariah Analisis Komparatif Dengan Produk Konvensional

This research aims to determine the application of saving and investment inIslamic financial institutions and their comparison with conventional institutions. The method used in this research is qualitative research with an in-depth interview approach. In-depth interview approach. The results showed that saving products at LKS. LKS offers mudharabah savings, wadiah savings, and sharia current accounts with profits for customers calculated based on the profit-sharing ratio proportionally from the profit-sharing ratio. proportionally from bank's operating profit in accordance with the initial agreement. While in LKK the products offered are products offered are savings, deposits, and current accounts with benefits for customers calculated based on the interest rate determined by the bank. Investment products at LKS offer suku', shares, and musyarakah with profits derived from profit sharing, company profits and asset rents. asset rent. Investment products in LKK offer mutual funds, stocks, and bonds with customer profits derived from rising asset prices, dividends and interest.

Optimization of SME Marketing Strategies through Digital Data-Based Customer Profitability Analysis: A Case Study of SMEs in the Former Surakarta Residency

Optimization of SME Marketing Strategies through Digital Data-Based Customer Profitability Analysis: A Case Study of SMEs in the Former Surakarta Residency

CUSTOMER SEGMENTATION USING MACHINE LEARNING

Businesses need to identify and segment their consumer base in order to effectively customize their strategies and improve customer satisfaction in the highly competitive market landscape of today. The goal of this study is to employ machine learning techniques to create a strong consumer segmentation model that will classify customers according to their demographics, behaviors, and purchase histories. Through the use of multiple clustering methods, including K-means, DBSCAN, and Hierarchical Clustering, the model seeks to find unique customer segments with shared attributes. To accomplish optimal segmentation, the segmentation process entails three steps: feature selection to identify the most significant features, model training, and data preprocessing to manage missing values and outliers. In-depth segment analysis is also included in the report to offer practical insights for better client retention tactics, tailored recommendations, and focused marketing efforts. The results of the study illustrate how machine learning may be used to find hidden patterns in consumer data, giving organizations the ability to make data- driven decisions. Organizations may improve their marketing efforts, allocate resources more efficiently, and eventually increase customer engagement and profitability by putting this customer segmentation strategy into practice. Key Words: K-Means Clustering, Hierarchical Clustering, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Cluster Plotting, Heatmaps, customer relationship management (CRM) system.

The Analysis of Time-Driven Activity-Based Costing to Increase Customer Profitability

The Analysis of Time-Driven Activity-Based Costing to Increase Customer Profitability

Application of FUZZY Methods for Measuring Leanness of Manufacturing Industries

Manufacturing plays a vital role in the growth of any economy. In India also the manufacturing is growing rapidly and passing through transforming stage. To maintain the customer demands, quality, profitability, and sustainability it is necessary to adapt good manufacturing practices. This paper emphasizes the adaptation of lean manufacturing and development of model for assessing the lean status of different manufacturing sectors. For assessing leanness, manufacturing sectors are evaluated on 29 lean criterions by using Fuzzy TOPSIS. Fuzzy TOPSIS can deal with a variety of questions. Lean criterions are identified, linguistic ratings for different criterion are selected and scores are assigned, and finally lean status is compared, and it is found that automobile sector is leaner as compared to textile and heavy industries. This paper will help the industry, academia and lean practitioners to assess the lean status of their industry and to strengthen their knowledge towards various benefits of lean manufacturing in the industry.