Customer Desires Research Articles

MEMPERLUAS KEMAMPUAN ALAT PENCABUT SINGKONG: PENGEMBANGAN LEBIH LANJUT UNTUK KEBUTUHAN PETANI

This research builds upon the author's earlier work on the design of a cassava pulling tool. The aim is to develop a non-mechanical or minimally-powered tool that addresses farmer needs. The tool design incorporates Quality Function Deployment (QFD) to ensure user satisfaction. QFD is a method that integrates customer desires into technical requirements during the design phase, prior to production. Data analysis revealed key user desires: lightweight materials, affordability, the ability to pull multiple cassava stems simultaneously, durability, safety, and additional functionalities. House of Quality (HOQ) analysis identified the most crucial attribute (weight of importance: 30%) as the ability to pull multiple stems at once. This finding served as the primary basis for prototype development and technical characteristic definition. Subsequent prototype testing successfully uprooted cassava plants, demonstrating the tool's capability of pulling multiple stems in a single operation.

A Group of Banking Services in Islamic Banks: A Sharia and Economic Study

The banking sector is one of the most important economic sectors in all countries. It represents the backbone of economic life, as it acts as a mediator between savers and investors and provides them with many banking services to meet the requirements of the economic process. This study aimed to define the concept of financial services provided by Islamic banks, their characteristics, and their most key features, while addressing the level of quality of banking services and the extent to which they meet the desires of customers. This study was divided into two sections: Section One: The concept, characteristics, and features of banking services. Section Two: Banking services provided by Islamic banks.

ASSESSMENT OF THE APPLICATION OF TECHNOLOGY IN THE MANAGEMENT OF SMALL AND MEDIUM-SIZED ENTERPRISES (SMES)

Business technology tends to maximize the use of technology within the company to meet the demands and desires of customers. However, technology has also the potential to benefit management and business practices. Several factors influence an organization's decision to use new technology. Some of these factors are: to increase results, to improve the product, to reduce the dependence on specialized work as well as to keep up with the latest trends and developments. Technology is important because it can be a key differentiator in attracting and retaining talented employees. However, technology also has the potential for it the management and practices of businesses also benefit. The purpose of this study is to determine how the introduction of technology affects different business processes. Also, in this paper, we will try to identify the effects and advantages of the application of technology to small and medium enterprises in North Macedonia and Kosovo. Technology has revolutionized the way enterprises conduct business, enabling small businesses to catch up with larger organizations. Small businesses use a variety of technologies to develop competitive advantages in the economic marketplace as well as increase the productivity of their employees. Small and medium business owners should consider implementing technology in their planning process for easier integration and the possibility of future expansion. The results from this study suggest that SMEs may be able to increase their business capacity when innovations and technologies are applied.

Price Sensitivity and the Influence of Green Knowledge on Consumer Attitude and Purchase Intention in the Context of Sustainable Goods

Background and Objective - Legislators and organizations trying to encourage sustainable consumption as a result of evolving consumer tastes and economical limitations need to recognize how these issues interact. This study aimed to assess the relationship among price sensitivity (PS), green knowledge (GRK), female consumers attitude (CA), and purchase intention (PI) for sustainable goods. Methodology - Using a questionnaire of 250 female consumers, this study examines hypotheses related to the factors using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) methodology. Results - The connection among GRK and CA for sustainable goods is moderated by PS, with greater GRK increasing PI. Nevertheless, PS affects the desire of customers to pay charges. Conclusion - In an atmosphere of competition, this study emphasizes the influence of price strategies and awareness among female consumers while highlighting the significance of PS and GRK in encouraging sustainable consumption patterns.

Extending the wisdom of Tai Lue weaving to create the values of handcraft and traditional wisdom for community furniture at Wat Yuan, Thailand

This work aims to study consumer demand for newly designed Tai Lue fabric patterns for decorating bar stools; to investigate consumer demand for the materials, colour, and design requirements of bar stools; and to produce prototype bar stools decorated by Tai Lue weaves based on customer preferences. Data were collected from interviews and a literature review was conducted to design a bar stool that incorporates Tai Lue weaving. A questionnaire was distributed to better understand the desires of customers, such as newly designed patterns, materials, colours, and design requirements of bar stools. Then a prototype bar stool was produced and customer preferences and satisfaction were identified and analysed. It was found that the most popular Tai Lue woven pattern is the Dok Sor pattern mixed with the Saeng pattern. This is suitable for producing cushions and backrests because it is tightly woven, flexible and adds to the furniture's appealing feeling. Furthermore, a prototype was produced using a D-style chair made with wood of a natural colour, which is simple and can be produced in the community. This prototype bar stool is suitable for use in coffee shops. Customer satisfaction was measured in terms of its Tai Lue weaving appreciation, acceptance, ease of use, comfort, satisfaction, and durability. The customer demand scored the highest at 4,000 baht (110 USD). Finally, this study can encourage the use of traditional Tai Lue weaving patterns, thereby creating additional value and income for the Tai Lue community at Wat Yuan, in Chiang Khan district, Phayao province, Thailand.

Deceptive Point-of-Sale Marketing Tactics Impact on Consumer Purchase Intentions with an Attitude as a Mediator

The study examines how misleading sales techniques, such as deceptive point-of-sale practices, affect customers' willingness to buy things or their purchase intention in Iraq, where laws protecting consumers are weak and uncontrolled. The researchers also looked at how a customer's overall impression (attitude) of a product plays a role in this connection. The surveyed 400 shoppers at various supermarkets in Erbil, Iraq. 382 valid responses were received. A Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data and test the study's hypothesis. The findings show that deceptive sales tactics hurt a customer's desire to buy. Additionally, a customer's perspective on a product plays a part in the link between those tactics and purchase intention. These results suggest that honest marketing practices benefit both businesses and customers by creating positive feelings towards products and ultimately increasing sales. JEL Codes: M31, M37 Received: 06/04/2024. Accepted: 05/07/2024. Published: 25/07/2024.

Investigasi Sistem Pemasaran Produk Halal Olahan Edamame Mitratani 27 Kabupaten Jember

Marketing is very important in the world of business or entrepreneurship, whether large scale or small, medium or large scale. Marketing is an accomplice of leading companies. As the company's front line in achieving profits, of course, the people in this section must have reliable abilities, be active, and also not give up easily when facing business competition to win market share of the business they rely on. In this case, it is very important to implement marketing strategies at PT Mitratani Dua Tujuh in order to meet the needs and desires of customers on a national and international scale. This type of research uses field research. This research is based on the researcher's interest in Edamame Processed Products PT. Mitra Tani Dua Tujuh, especially in marketing strategies for halal products (PT. Mitra Tani Dua Tujuh) PT. Mitratani Dua Tujuh begins with the production process to the edamame marketing process which involves many parties. With collaboration between business partners, edamame has been successfully marketed to local and international markets. The network involved in the production process is all PT employees. Mitratani is involved in the process of providing raw materials, the edamame cultivation process, and the edamame processing process in the factory. The network involved in the marketing process is all parties or institutions involved in the marketing process of PT Mitratani products, such as Mitratani 27 Outlate distributors, IKBI (Wives' Extended Family Association) Mitra Tani 27 employees, PT Perkebunan Nusantara, PT Rolas Medika Nusantara, UPTPS Tresna Werdha Jember, the Agro-Industry Workers Union (SPA) and several agencies that collaborate with Mitra Tani 27 Jember.

Tipologi Loyalitas dan Kepuasan Nasabah Dalam Mengoptimalkan Customer Relationship Management (CRM) di BPRS SPM Pamekasan

The importance of customer loyalty and satisfaction positively impacts the growth of Sharia banks. Loyalty and satisfaction from a customer will be created if a harmonious relationship exists between the two parties, namely the customer and the Sharia bank, otherwise, a disharmonious relationship will damage the cooperation between the two. So it does not rule out the possibility that Islamic banks will experience problems. This research aims to determine CRM implementation and customer loyalty and satisfaction factors at BPRS SPM Pamekasan. This type of research uses descriptive qualitative methods. The results of this research show that the implementation of Customer Relationship Management implemented by BPRS SPM Pamekasan includes: Being able to identify customer desires, obtain new customers, retain old customers, convince customers to continue using BPRS SPM products and services, and provide good after-sales service. To create success in the Customer Relationship Management strategy which can generate loyalty and satisfaction for BPRS SPM customers, this is by improving the quality of service provided to customers, with the aim of good service, a good relationship will also be built between BPRS SPM and customers thereby creating loyal customers. and feel satisfied.

Efforts to Improve Service Quality at Skenario Kopi Cafe Based on Consumer Needs Using Quality Function Deployment

Faced with fierce competition, coffee shops need to stay in tune with evolving customer preferences. This research was conducted the Quality Function Deployment (QFD) method, specifically the House of Quality (HoQ) tool, to analyze feedback from subject consist of 100 customers of Skenario Kopi Cafe. The HoQ is a structured approach that translates customer desires (Voice of Customer or VoC) into actionable technical improvements. The sampling technique is based on purposive sampling technique. Analysis of Validity Test and Reliability Test data using SPSS 24 software. The research identified 15 key customer needs, categorized by their level of importance. They then compared these needs to 5 potential technical responses that Skenario Kopi Cafe could implement. Based on this analysis, the result showed such as prioritizing communication training for staff, followed by facility upgrades, and lastly, implementing regular performance evaluations. By analyzing the relationships between these factors, the researchers were able to prioritize the actions that would have the greatest impact on customer satisfaction.

أثر التسويق الخفي بأبعاده على التزام العميل بالتطبيق على عملاء شركة المراعي بالسعودية: دراسة حالة

This study aims to identify the extent of the impact of stealth marketing in its dimensions (viral marketing, deceptive marketing, brand advocates, celebrity endorsements) through its modern techniques on the development of customer commitment in its dimensions (emotional, continuance, normative) with an application to Almarai customers in Saudi Arabia. The study followed a descriptive approach using the survey method. Among the most important results of the study was the acceptance of the first hypothesis, which states that there is a statistically significant effect at a significance level of (0.05) of stealth marketing in its dimensions on the emotional commitment of Almarai customers in Saudi Arabia. The second hypothesis was also accepted, stating that there is a statistically significant effect at a significance level of (0.05) of stealth marketing in its dimensions on the continuance commitment of Almarai customers in Saudi Arabia. Additionally, the third hypothesis was accepted, indicating a statistically significant effect at a significance level of (0.05) of stealth marketing in its dimensions on the normative commitment of Almarai customers in Saudi Arabia. The study recommended directing the marketing efforts of companies to benefit from the advantages of each technique of stealth marketing and to avoid the drawbacks of these techniques in a way that contributes to achieving the marketing goals of companies. It is also necessary to enhance the positive aspects that stealth marketing includes by avoiding deception and exaggeration in presenting the advertising message through companies using over-the-top marketing techniques. Furthermore, it is essential to consider the ethical aspects, customs, and traditions of our societies that may not align with some of these techniques, as well as to determine which are more effective in achieving marketing activity goals. The design of the advertising message and the selection of the appropriate technique for presenting it should consider the cultural levels of the targeted customers and the level of marketing awareness that the customer has reached. This can be achieved through proactive measures to determine this, in addition to identifying customer preferences and desires.

Roles of Natural Language Processing in New Product Development Process: Literature Review

Customer satisfaction is a key success factor for a business. To provide products that meet customer satisfaction, companies must be able to understand the customers’ needs and desires. Technological developments nowadays have helped companies to understand customer desires more easily so that companies can provide products that satisfy their customer. Natural Language Processing (NLP) is a technology that allows computers to process human language. NLP is also commonly referred as text-mining. NLP has been utilized in the New Product Development (NPD) process. We compiled studies related to NLP and NPD and conducted a literature review to map out how far NLP has been utilized in NPD processes. We found that in this era of Big Data, current NLP studies most often have the goal to process text data from online reviews on e-commerce and from social media. By using NLP, large amounts of data can produce valuable Voice of Customer (VOC) information for product development. We also found that NLP technology also has been utilized in other NPD processes that do not involve VOC, such as the design stage, document processing, and extraction of requirements in the NPD process.

Pengaruh Perilaku Konsumen Terhadap Keputusan Pembelian Sembako Pada PT Sinar Setia di Bandar Lampung

Understanding consumer behavior plays a crucial role in formulating marketing strategies to meet the needs and desires of customers, ultimately enhancing customer satisfaction. This research aims to investigate the influence of consumer behavior (X1) on purchasing decisions (Y) of groceries at PT Sinar Setia, located at Jl. Sultan Hasanudin No. 60A, Bandar Lampung. This study was chosen because a deep understanding of consumer behavior can provide valuable insights into analyzing consumer preferences and habits, which are essential for businesses to optimize their marketing strategies. This study employs a quantitative research approach with primary data obtained directly from the research object. Data were collected through the distribution of questionnaires and observation at PT Sinar Setia. A Likert scale was used to measure respondents' responses, with scores ranging from 1 to 5. The total population of respondents was 480, with a sample of 83 respondents selected through accidental sampling technique. Data analysis was conducted using simple linear regression and SPSS statistical software. The research findings indicate that the t-value of 5.813 exceeds the t-table value of 1.9896, with a significance value of 0.000 < 0.05, demonstrating that the consumer behavior variable (X1) significantly influences purchasing decisions (Y).

Luxury brand at the cusp of lipstick effects: Turning brand selfies into luxury brand curruncy to thrive via richcession

A fear of a richcession is on the horizon. The luxury industry must rekindle customer desires and promote brand selfies in order to survive. The narcissist and materialist affluent people upload their selfies along with luxury brand signatures, and this triggers the self-inferential process in the fellow affluent and shapes their luxury preferences. This study investigates this phenomenon, the lipstick effect, and its connection with richcession. A niche group of ultra-rich affluent people was chosen based on their spending patterns, their access to famous personalities, their choice of expensive places, their usage of luxury products, and their postings of selfies with luxury signatures. The study developed a measurement scale via a three-step survey-based approach by analyzing 468 questionnaires. The confirmatory factor analysis (CFA) proposes 27 items of a new scale. The structural analysis was then conducted in order to ensure the scale validity and stability by employing a new dataset of 356 questionnaires. We demonstrated how luxury brand selfies influence luxury signature, and how this in turn affects luxury brand currency and preference.

Customer Segmentation Based on Machine Learning Methods

In recent years, as times change, consumer behavior continues to change rapidly, and their preferences and consumer attitudes change with age and experience. In the generalization of the mass market, it is difficult to identify the needs and desires of customers through various promotional tools. Therefore, customer segmentation can be an option for marketers to offer preferential goods or services to customers. Segmentation can help the company to quickly identify the preferences of the customers and provide them with the desired goods. However, there are significant differences between customers, making it difficult for merchants to segment customers through simple attribute filtering. Fortunately, with the development of machine learning, machine learning-based customer segmentation methods have received a lot of attention from researchers. However, different machine learning methods have different characteristics and there are some differences in commercial applications. Therefore, this paper analyses the principles and performance of the algorithms to provide reference for researchers in related fields. Firstly, this paper introduces several common machines learning methods, including Logistic Regression, Decision Tree, Random Forest and AdaBoost, and then compares the effectiveness of these algorithms through experiments. Finally, this paper looks forward to future research directions.

Recommendation System Building based on CNN and TF-IDF Approaches

Online shopping has becoming increasingly popular. Customers remain engaged with shopping sites due to effective product recommendations. By analyzing users’ past actions and preferences, shopping platforms effectively identify customer interests and desires, enhancing their overall shopping experience. This paper presents a recommendation system that displays 5 items relevant to the product currently being viewed by the customer. The system processes images with an adapted ResNet-50, a deep learning image classification model in convolutional neural network (CNN) and use the acquired embedded vector to determine similarities with cosine functions. Additionally, the system employs term frequency-inverse document frequency (TF-IDF) method for text analysis in product descriptions, generating word embedding that assists recommendations. This blend of visual and textual analysis ensures that the suggestions closely match the item’s category. The system achieves 94.72% accuracy in subcategories’ classification, a 4% increase compared to using the CNN method alone, confirming its effectiveness in recommending relevant items.

Implementasi Metode Kano dan Importance Performance Analysis pada Pengembangan Sistem Pelayanan Puskesmas

<p><em>Puskesmas is a community health service. Improving public health services can be achieved through providing excellent and quality health services. In terms of the performance of the puskesmas administrative services, there is no information system for processing patient data, which has an impact on the quality of services in the puskesmas. The aim of this research is to create a web-based knowledge management system that assesses the quality of health services provided by health centers. This will measure the gap between the actual performance of the Puskesmas, patient expectations, and the level of satisfaction experienced by patients. The system will also propose alternative solutions to increase patient satisfaction. in improving the quality of services provided by Community Health Centers. The methods used in the research are Importance and Performance Analysis (IPA) and the Kano method. The reason for choosing the IPA method is because IPA can be used to measure respondents' mastery of research attributes and can also measure the importance of an attribute based on respondents' perceptions. This research uses the Kano technique to categorize the features of a product or service based on their ability to fulfill customer desires effectively. The result of this research is a Knowledge Management System designed for Community Health Center services, which has the potential to reduce knowledge gaps.</em></p>

Pengolahan Makanan Ringan Corndog Sosis sebagai Peluang Bisnis Usaha Kecil

Corndog is a food or snack that is included in Korean Street Food, Corndog is a food that consists of several ingredients, namely flour, sausage, mozzarella cheese, potatoes, chocolate, green tea and sauce. The melted mozzarella cheese is what makes it attractive to customers and besides that, there are many various variants that can meet customer desires. This research aims to see the extent of business results obtained by selling typical corndog food in the research area and to find out the processing process for making delicious corndog food so that it is suitable for sale and consumption by the public. The method used in this corndog sausage business research is quantitative and qualitative. And from sales made by sellers there is a profit of 21% per day in 1 sale on October 17 2023.

Automatic Classification of Stegano files using the Features of Natural Language Processing and Hybrid Deep Learning Algorithms

The corporate sector has adopted communication as its principal medium due to the improvements of the digital era. In the past, in-person meetings, purchases, settlements, business talks, and profile-taking were all done. However, everything has gone digital in the present period. Over the last several years, there has been a noticeable exponential rise in the amount of complicated texts and documents that require a deeper comprehension of machine learning techniques in order to recognize languages in a variety of applications. Outstanding results in the processing of natural languages have been obtained by a number of Artificial Intelligent techniques. A key component of machine learning and deep learning techniques' efficacy is their capacity to understand intricate models and non-linear connections in data. Choosing the right architecture, frameworks, and algorithms for classifying input, like text files, managing audio and video files, however, is a difficult undertaking. The proposed work's goal is to identify text, audio messages, chatbots, and smart records using natural language processing. Using a hybrid deep learning approach, text, voice, and video recordings are used as inputs to be classified. Problem Synopsis: With contact becoming more and more important to business, companies have created advanced NLP programs. Through chatbots, digital records, phone conversations, and messages, these NLP swiftly fulfil human desires. Customer preferences, desires, and demands have been found to be more strongly impacted by the ease of communication and connection. Today's service providers use chatbots, digital records, messaging apps, email, and phone conversations as their main methods of communication for almost all of their trade channels of preference, client queries, and transactions. Proposed Method: The study shows how input stegano file is processed automatically based on user reactions, text message replies, and audio record identification during communications using text content, voice messages, and audio using the features of Natural Language Processing and hybrid Deep Learning Algorithms

DESIGN RANGES IN KITCHEN FURNITURE ACCORDING TO THE BROAD RECOMMENDATION SYSTEM FOR THE CITY OF BAGHDAD

Our research deals with one of the modern systems of management, which is the widespread recommendation used in the management of productive institutions that the Iraqi consumer in general and the citizens of the city of Baghdad deal with in particular, as these institutions work and compete with each other to provide the best products in a way that meets the desires of customers to the fullest extent. The problem of the research appears here, which is whether Implementing a distribution system in factories producing kitchen furniture? What are the designer’s ranges to produce the final product according to that system? Therefore, our research aims to demonstrate the reality of implementing the broad procurement system in local furniture production factories in the city of Baghdad, and to demonstrate the extent of the design achieved for the designer, producer, and consumer in that system. While the research includes the spatial and temporal boundaries represented by kitchen companies in Baghdad located on both sides of Karkh and Rusafa for the period from 2018- 2021, as well as identifying and defining the scientific terms for the research, which include the following theoretical framework axes (what broad marketing is, the diversity of products within marketing, and the necessary requirements for advertising. As for The research methodology is based on the descriptive approach in determining the research samples, as the researchers relied on the purposive selective method with a percentage of 31.25% of the original research population represented by sixteen companies, which was the measurement too

Automatic Classification of Stegano files using the features of Natural Language Processing and hybrid Deep Learning Algorithms

The corporate sector has adopted communication as its principal medium due to the improvements of the digital era. In the past, in-person meetings, purchases, settlements, business talks, and profile-taking were all done. However, everything has gone digital in the present period. Over the last several years, there has been a noticeable exponential rise in the amount of complicated texts and documents that require a deeper comprehension of machine learning techniques in order to recognize languages in a variety of applications. Outstanding results in the processing of natural languages have been obtained by a number of Artificial Intelligent techniques. A key component of machine learning and deep learning techniques' efficacy is their capacity to understand intricate models and non-linear connections in data. Choosing the right architecture, frameworks, and algorithms for classifying input, like text files, managing audio and video files, however, is a difficult undertaking. The proposed work's goal is to identify text, audio messages, chatbots, and smart records using natural language processing. Using a hybrid deep learning approach, text, voice, and video recordings are used as inputs to be classified. Problem Synopsis: With contact becoming more and more important to business, companies have created advanced NLP programs. Through chatbots, digital records, phone conversations, and messages, these NLP swiftly fulfil human desires. Customer preferences, desires, and demands have been found to be more strongly impacted by the ease of communication and connection. Today's service providers use chatbots, digital records, messaging apps, email, and phone conversations as their main methods of communication for almost all of their trade channels of preference, client queries, and transactions. Proposed Method: The study shows how input stegano file is processed automatically based on user reactions, text message replies, and audio record identification during communications using text content, voice messages, and audio using the features of Natural Language Processing and hybrid Deep Learning Algorithms