View Of Customer Research Articles

Managing Product Variety to Increase Sales in Used Automotive Closed-Loop Supply Chains

The relationship between product variety and sales has been extensively researched, but almost exclusively from the perspective of a new goods retail firm. Closed-loop supply chains for used goods, such as automobiles, offer unique challenges in terms of using reverse flows to create product variety at the retail location. Firms in used goods industries are unable to define their product mix a priori and may not even know which goods will be available to add to their sellable inventory. In this article, we use data from a used automobile retailer to explore these issues. A better understanding of the relationship between variety and sales can help used automobile retailers improve how they define and structure product variety at retail locations. Improved management of used automobile sales has obvious financial implications, but it also has important environmental implications, given the large contribution of passenger vehicles to overall emissions. This study implements a cluster analysis using consumer-facing variables to understand how customers view product variety for used automobiles. Our results show that three distinct classes of inventory exist, primarily driven by a key characteristic—body type—which differs from the traditional definition of product variety for new vehicles in the existing literature. A two-way fixed effects regression is then used to understand the relationship between product variety at the firm's retail locations and sales. The results demonstrate a nonlinear relationship between product variety and sales and, intriguingly, suggest that increasing product variety in some classes can be used to drive sales in others. Our findings yield important contributions for managers in used automobile firms and extend the broader literature on closed-loop supply chains. Specifically, our research demonstrates important differences in how product variety should be managed with used goods relative to new goods by a firm seeking to maximize sales.

The green mindset: how consumers’ attitudes, intentions, and concerns shape their purchase decisions

Purpose. The goal of the present investigation is to find out what effect environmental concern has as a moderator between green brand positioning, green brand knowledge, social value, and perspective on the green brand among young consumers. Design/methodology/approach. Information was gathered from 407 Bangladeshi university students, both public and private. The suggested model was evaluated with the assistance of SPSS version AMOS-24, using the Structural equation Modeling (SEM) method. Findings. According to the standardized path coefficients of the SEM, the findings suggest that environmental concerns have a great deal to do with young people’s green purchasing intentions. According to the results, ‘green brand positioning’ (GBP) and ‘green brand knowledge’ (GBK), directly and indirectly via ‘Attitude towards Green Brand’ (ATGB) affect ‘Green Purchasing Intention’ (GPI). But ‘social value’ (SV) and ATGB are indirectly important factors in determining intent to buy environmentally friendly products and have no direct effect on GPI. Here, as a moderator, ‘environmental concern’ (EC) plays a vital role. Practical implications. These insights may help companies better comprehend how customers view environmentally responsible products as well as what factors influence their purchase decisions. Additionally, it is essential for businesses to appreciate the significance of educating people about environmental issues in order to increase consumer awareness and encourage more sustainable consumption habits. Originality and value. The study’s findings might be quite instructive to firms and businesses and motivate young people to make environmentally friendly purchases. One of the first studies of its kind, its findings are extremely valuable for companies seeking to understand their customers’ perspectives on green brands because they may shed light on how environmental concerns can moderate consumer behavior when it comes to purchasing environmentally friendly products.

CUSTOMERS’ OPINION TOWARDS CSR OF PUBLIC AND PRIVATE SECTOR BANKS IN TIRUNELVELI- A COMPARATIVE STUDY

Banking system plays an important role in the economic development of the country. Today, banks have diversified their activities and are getting into new products and services that include opportunities in credit cards, consumer finance, wealth management, life and general insurance, investment banking, mutual funds, pension fund regulation, stock broking services, etc. All private and public sector banks are keenly concentrated in fulfilling the need of doing CSR and disclosure practices regularly. The level of its impact on customers shall be measured by using some techniques. In the present study the researcher has concentrated on the view and perception of customers and their attitude towards the achievement of CSR of banking sector particularly in the study area and analysed by using statistical tools like percentage analysis, Chi-square test, two independent sample t-test etc.

Data Biasing Removal with Blockchain and Crowd Annotation

In today's world of internet marketing product review plays a crucial role. Often E-Commerce companies are accused of manipulating with the data and it suffers from biasing. Biasing leads to wrong customer's view creation thereby prediction for a top rating product fails. This study shows how crowd annotation prevents this biasness and thereby design a smart contract which ultimately will help to eliminate the data manipulation. The smart contract is deployed and tested to see if data can be saved in the run time storage memory regions of the Ethereum blockchain, and the test results are positive. In future this will help to get the unbiased data and better machine learning results, which will ultimately be beneficial for the economy.

Presiones de partes interesadas y eco-innovación en hoteles de México

The objective of this work is to analyse the impact of different types of pressure exerted by the interested parties in the implementation of eco-innovations. Using quantitative methodology, a structured questionnaire was applied to managers, owners or administrators of 70 hotels in Bahías de Huatulco and Cancun, Mexico. From a partial least squares structural equation model (PLS-SEM), the results show that the pressure of the market, competitors and clients influence eco-innovation. The contribution lies in relation to the role of stakeholder pressure in eco-innovation, particularly from the point of view of customers and competitors. In conclusion, eco-innovation arises as a hotel response to the requirements of the interested parties and facilitates obtaining competitive advantages and better performance. The recommendation is to strengthen a combination of command-and-control instruments with those of fiscal policy and subsidies according to the needs of the hotels

Service Quality with Patient Experience During the Covid-19 Pandemic

Service quality can be viewed from the aspects of technical quality and functional quality. Technical quality relates to the customer's view of the service output and functional quality relates to the service delivered from the service provider to the customer. The aim of this research was to analyze the relationship between service quality and patient experience during the Covid-19 pandemic at RSUP Dr. Tadjuddin Chalid Makassar. This type of research was quantitative research using a cross-sectional research design. The research was conducted at the Inpatient Installation of RSUP Dr. Tadjuddin Chalid Makassar with a research sample of 100 subjects regarding patient experiences during the Covid-19 pandemic. The data analysis used were univariate and bivariate. The data analysis used is univariate, bivariate and multivariate analysis. Bivariate used chi-square test and multivariate used linear regression. The results of this study showed that there was a relationship between doctor communication with p-value=0,009<0,05, nurse communication with p-value=0,000<0,05, responsiveness with p-value=0,000<0,05, medicine communication with p-value=0,000<0,05, and food service with p-value=0,000<0,05 on patient experience. Most patients stated that doctor communication, nurse communication, drug communication, responsiveness and food service were related to the patient experience. The variable that has the strongest relationship to patient experience is drug communication with an Exp (B) value of 7,634, which means drug communication is 7,6 times related to patient experience.

Sistem Informasi Pelayanan Jasa Laundry Pada Rumah Laundry Kendal

Currently it is still done manually and causes difficulties in data retrieval and income capitulation, there are several steps that can be taken to increase efficiency and accuracy in administrative management. Here are some suggestions: Management Information System (MIS) or Laundry Application: Implement a management information system or laundry-specific application that can help automate administrative processes. This application can record laundry receipt transactions, record customer data, and store income information in a more structured manner. Barcode or Unique Identification System: Use a barcode or unique identification system on each laundry receipt. This will make it easier to track and search data. Each customer or order can have a unique code or barcode that can be scanned to identify the transaction. Electronic Logging: Switch from manual logging to electronic logging. Use spreadsheet or database software to store and manage data. Make sure all laundry receipt data, including customer information and type of service, is recorded carefully. Centralized Database System: By implementing these solutions, you can optimize the laundry service administration process, reduce data search time, and increase revenue management efficiency. The aim of creating a Laundry Service Information System is to make it easier for business owners to manage customer transaction data and in preparing financial reports. The methods used in collecting data are observation, interviews and literature study, while the system development method used is R&D (Research and Development). This system was built using the PHP programming language, Boostrap, and for the database using MySQL. The results of this research are a web-based laundry service information system. This laundry service information system contains 2 access rights, namely Admin and customer. Customers can find out the status of their laundry and payments, while Admins can manage customer data, manage transactions, and view print reports

ІНФОРМАЦІЙНЕ ЗАБЕЗПЕЧЕННЯ АНАЛІЗУ ОПЕРАЦІЙНОЇ ДІЯЛЬНОСТІ ПІДПРИЄМСТВ РЕСТОРАННОГО БІЗНЕСУ

The restaurant business is one of the promising and developing industries. The success of this business is influenced by many factors, including the use of modern information technologies. During the operational activities of catering establishments, control over the accounting process and staff behavior, transaction analysis, accounting for the receipt of products, formation of the cost of meals, write-off of products is carried out. Therefore, the convenience of automating processes in catering establishments is obvious not only from the point of view of the owner, but also from the point of view of customers, since automated solutions make it possible to perform calculations with visitors more quickly, provide a system of discounts for registered customers, provide service based on a queue, provide the menu with all the necessary ingredients and save time. The purpose of the article is to determine the key features of the information support for the analysis of the operational activities of the restaurant business enterprises, as well as the description of the information resources necessary for the improvement of management accounting. In the process of carrying out the research, general scientific methods were used: the method of system analysis - to clarify the main categories of the research; abstract-logical method - for theoretical generalization and conclusions about the main features of the system of information support for the operational activities of restaurant business enterprises; graphic method - for a visual presentation of practical recommendations for improving the key processes of the operational activity of catering establishments. The article substantiates the importance of introducing modern automated solutions into the activities of restaurant business establishments in order to increase the quality of service and the prestige of the establishment, ensure quick processing of orders and customer service, increase the speed and efficiency of operational business analytics. Taking into account the specifics of restaurant business enterprises and the peculiarities of their functioning, ways of improving the process of inventory and warehouse accounting, work with suppliers and information support of operational business analytics are proposed. Prospects for further research in this direction are the search for ways to improve the analysis of business data with different levels of depth and detail, the improvement of analytics focused on the study of customer demand and behavior, and the expansion of marketing research.

The Impact of Brand Awareness and Brand Perceived Quality Towards Purchase Intention of Mobile Phone from Customers View in Ethiopia

The Impact of Brand Awareness and Brand Perceived Quality Towards Purchase Intention of Mobile Phone from Customers View in Ethiopia

Senior tourism from the point of view of customers' preferences

Senior tourism from the point of view of customers' preferences

A COMPARATIVE STUDY OF SENTIMENT CLASSIFICATION: TRADITIONAL NLP VS. NEURAL NETWORK APPROACHES

The current research compares traditional natural language processing methods, such as Naive Bayes and Support Vector Machine, to neural network approaches, particularly Multi-Layer Perceptron, to classify positive and negative sentiments regarding company customer service. This research is motivated by the need to understand the effectiveness of these two approaches in analyzing and classifying sentiment in customer reviews, a crucial aspect of enhancing the quality of customer service. The author evaluated accuracy, speed, and adaptability to complex and diverse review content using a dataset containing various business customer reviews. The findings of this study indicate that neural network approaches, particularly Multi-Layer Perceptron, tend to provide superior performance in classifying customer sentiment with greater precision, albeit at a higher computational cost. Traditional methods such as Naive Bayes and Support Vector Machine still apply in situations with limited resources. The results of this research provide valuable guidance for companies in selecting an appropriate approach to analyzing customer sentiment, with the potential to increase understanding of customer views and improve overall customer service. Nave Bayes achieves 68.75% accuracy, Support Vector Machine achieves 87.5% accuracy, and Multi-Layer Perceptron achieves 100% accuracy.

“A STUDY ON CUSTOMER PERCEPTION TOWARDS SERVICE SATISFACTION AT GIRIAS INVESTMENT PVT LTD BENGALURU”

This research looks on client opinions and their influence on service satisfaction in the setting of Girias Inestment Pvt Ltd, a well-known retail company. Understanding client perspectives and their accompanying levels of contentment has become critical for long-term success in today's competitive business scene. The major goal of this dissertation study is to investigate the multiple factors that create customer views of Girias Pvt Ltd's services and to examine the manner in which those impressions influence general customer contentment.

Exploring Customer Views on Digitalized vs. Traditional Restaurants: A Study in the Restaurant Industry

The main objective of this study is to explore and analyze customer perceptions and views regarding digitalized restaurants compared to traditional restaurants. This study would also help the restaurant industry transform into digitalization that corresponds with customers' views. For research purposes, data collection from a sample of customers who have recently dined in both types of restaurants by conducting a questionnaire targeting at least 100 respondents was conducted. The questionnaire focused on gathering data related to customers' perspectives and satisfaction and examining the variables of efficiency and effectiveness and perceived benefits such as convenience, visuals, time consumption, customization, loyalty and rewards programs, and digital feedback. The data were analyzed using Statistical Package for the Social Sciences (SPSS). Based on the study, most customers prefer digitalized restaurants over traditional ones. The survey revealed that this type of restaurant brings more benefits and convenience to customers. The restaurant industry may need to improve its services by implementing technology that is acceptable for use in order to meet consumer expectations and demands regarding dining.

Understanding Sentiment and Emotion through ChatGPT to Support Emotion-based Management Decision Making

Effective management decision-making is a key element in organisational success. In the ever-evolving digital age, human interaction with computer systems is increasingly complex and diverse. One increasingly popular form of interaction is the use of Chatbots that are based on artificial intelligence technology. Chatbots trained using language models, such as ChatGPT, have demonstrated their ability to communicate with humans naturally and can be used in a variety of applications, including in management contexts. This research aims to fill this knowledge gap by proposing and implementing a customised ChatGPT model for understanding sentiment and emotion in the context of management decision-making. This research is a literature review that adopts a qualitative method approach, which means it will analyse and interpret data by relying on information and text from various sources. The study results show that understanding sentiment and emotion through ChatGPT is an important innovation that can support emotion-based management decision-making in an increasingly complex and rapidly changing business environment. By analysing and recognising feelings, views and attitudes in text, ChatGPT provides valuable insights for managers to respond to market changes, understand customer and employee views, enhance brand and reputation, and create a healthier and more productive work environment.

IMPROVING THE METHODOLOGICAL BASIS FOR EVALUATING THE EFFECTIVENESS OF SERVICES PROVIDED IN RETAIL CHAINS

This article examines the scientific-theoretical aspects of approaches to evaluating the effectiveness of services provided in retail trade networks. A methodological approach to the management of retail network services based on factors and conditions for improving the efficiency of customer service processes has been developed. Based on this methodological approach, methodological approaches have been developed to assess the level of service, customer loyalty, service quality, and customer satisfaction. On the basis of N. Kanoʻs method, directions for forming a set of main service attributes from the point of view of customers are proposed.

Fashioning sustainability: Navigating the perceptions and attitudes in fashion design

Trends, elegance, and rapid consumption have long been connected to the fashion business, creating serious environmental and societal problems. Fashion designers are essential in guiding the industry toward a more sustainable future as the necessity for sustainable practices becomes more and more obvious. The purpose of this research was to investigate more about fashion designers' opinions on sustainable fashion (SF) and the challenges they face when trying to put sustainable design (SD) concepts into practice. Fifty fashion designers were selected to take part in an exploratory study and were interviewed throughout five sessions. The research's major findings show that it's challenging to include SD in the fashion design (FD) process for several internal and external factors. Internal issues include a lack of consensus and knowledge regarding SD, as well as projected trade-offs with other aspects of design goals, including aesthetic styles, budgetary limits, and current trends in fashion. Some examples of such external barriers include the intricacy of sustainability issues, the impression of insufficient customer demand, the existence of deficiencies in customer views and actions regarding the purchase of sustainable collection ranges, and the absence of either monetary or legal incentives for businesses to employ SD methods. The results of this study add to our knowledge of the perspectives and attitudes that fashion designers have regarding sustainability, providing insightful information for those who are involved in the industry, policymakers, and educators. This research aims to enable the incorporation of sustainable practices into fashion design, eventually guiding the industry toward a more responsible and sustainable future by addressing the issues and offering practical solutions.

AN INVESTIGATION INTO THE OPINIONS HELD BY CONSUMERS IN CHENNAI REGARDING VARIOUS TYPES OF SEAFOOD

A research study undertaken to examine the consumer impression of seafood in Chennai, India. The objective of the study was to investigate the various elements that impact customer preferences, attitudes, and purchasing behaviors in relation to fish goods. Chennai, situated along the southern coastline of India, exhibits a significant cultural and economic association with seafood owing to its close proximity to the Bay of Bengal. The comprehension of customer views within this particular environment holds significant importance for the fish business, sustainability initiatives, and consumer well-being.
 The research utilized a hybrid methodology, integrating both qualitative and quantitative research techniques. The collection of qualitative data involved conducting in-depth interviews and focus group discussions in order to gain a deeper understanding of the underlying attitudes, cultural influences, and beliefs that influence consumers' decision-making processes around seafood consumption. Structured surveys were employed to collect quantitative data from a varied sample of Chennai inhabitants, enabling the statistical analysis of preferences and consumption trends.

Analisis Manfaat Penggunaan PLN Mobile Pada Bagian Pelayanan Pelanggan Di PLN ULP Medan Baru

In this era of globalization, business organizations must continue to improve the level of professional services in their respective fields. The use of PLN Mobile in the customer service department at PLN ULP Medan Baru has the potential to provide significant benefits in improving service quality and customer satisfaction. This application is expected to bring positive changes by providing easy access to information for customers regarding billing, blackouts, and other important information. The purpose of this research is to analyze the customer service and benefits of PLN Mobile at PLN ULP Medan Baru. This study uses a qualitative approach to explore an in-depth understanding of the benefits of using PLN Mobile in the customer service department at PLN ULP Medan Baru. A qualitative approach allows researchers to understand customer perspectives, views, and experiences in depth and contextually. Based on the results of the research and discussion conducted by the researchers, it can be obtained that the customer service and benefits of PLN Mobile at PLN ULP Medan Baru are quite good and very useful for customers at PLN ULP Medan Baru, Medan City to meet their electricity needs, complaints and complaints, however, socialization that has not been evenly distributed has resulted in there being PLN ULP Medan Baru customers who have not used the PLN Mobile application. The five dimensions of customer service used by researchers according to Tjiptono (2014: 18), namely the Tangibility, Reliability, Responsiveness, Assurance, and Empathy dimensions at PLN ULP Medan Baru are quite good.

THE ROLE OF SOCIAL MEDIA IN SHAPING CUSTOMER PERCEPTION AND USAGE OF INTERNET BANKING SERVICES: A STUDY IN BALANGIR DISTRICT

The emergence of Internet banking has transformed banking globally. Internet banking has opened up geographical borders by acting as a marketing channel, offering customers a variety of services at lower prices. Investigating the manner in which social media affects customers view and use internet banking services is important and timely. This research delves into the influence of social media on customer attitudes towards internet banking. Using SPSS software, a sample of 173 individual internet banking users from Balangir was analysed through an online survey. The results from the analysis support hypotheses derived from the literature. The findings showed that consumer perceptions of online banking services might be positively or negatively impacted by the content posted on social media sites. KEYWORDS-Internet banking, Customers, Balangir

Pengumpulan Dan Penafsiran Pesan Komunikasi Bisnis

The gathering and interpretation of business communications is an important process in the modern business world. In the ever-evolving digital era, companies must be able to collect and interpret business communication information appropriately to gain valuable insights. First of all, the collection of business communication messages is carried out through data collection techniques and data analysis methods, such as interviews, surveys and content analysis. After the data is collected, the next stage is interpretation. The interpretation of business communication messages is carried out through techniques and tools such as context analysis, language analysis, non-verbal analysis, natural language processing technology, speech recognition technology and social media monitoring tools. This involves using sophisticated algorithms and data analysis techniques to identify information that is valuable and relevant to the company. The main benefits of gathering and interpreting effective business communications are increased understanding of customer needs and wants, development of better marketing strategies, identification of new business opportunities, and improvement of internal business processes. However, there are also challenges associated with the collection and interpretation of business communications. One of the main challenges is the large and complex volume of data. Companies must be able to manage and analyze data on a large scale to get clear results. In addition, privacy and security are also important issues in the collection and interpretation of business communications. The company must ensure that the data collected is kept safe and kept confidential, and complies with applicable privacy regulations. In conclusion, gathering and interpreting business communication messages helps companies understand customer views and feedback, improve communication and business decision making, and achieve better overall business goals. However, companies must also pay attention to challenges related to data management and privacy to ensure the success of this process.