Customized Content Research Articles

Digital Echoes: Social Media’s Resonance in Brand Marketing

The paper will dive into the profound influence of social media platforms on brand marketing, casting light on crucial factors that shape contemporary consumer behavior. Recognizing the pervasiveness of social media platforms such as Weibo, Douyin, and Facebook, the research responds to the growing significance of these platforms in a variety of societal spheres. This topic was chosen due to the inextricable integration of social media into people’s lives, which influences academia, professions, and personal spheres. The research highlights the transformative potential of social media in brand marketing by conducting a comprehensive literature review. In the domain of brand perceptions, the research reveals a knowledge gap regarding the challenges posed by negative comments and crisis communication. Utilizing comparative analysis and case studies, the research shows that effective social media strategies increase consumer engagement, trust, and loyalty. Platforms such as TikTok and Instagram provide dynamic environments in which customized content and influencer collaborations can be strategically utilized. The study concludes by highlighting the significant marketing sector implications of this research. It emphasizes the significance of establishing genuine connections, customizing content, and overcoming obstacles to maximize the potential of social media platforms. In a competitive environment, brands can use these insights to plot a successful course.

Brand image and product quality effects on customer loyalty mediated by customer satisfaction

This qualitative research explores the interplay between brand image, product quality, customer satisfaction, and customer loyalty in the context of Bekasi batik products. The study posits that customer satisfaction is a mediating variable between customer loyalty and the independent variables of brand image and quality. Using a simple random sampling technique, data was gathered through questionnaires distributed to 100 customers at a Bekasi Batik shop located within the Bekasi City Government Office Complex, representing a population of 456 people. Data collection occurred in August 2023 at the government office complex in Bekasi city, West Java, Indonesia. The findings highlight the pivotal role of brand image, product quality, customer satisfaction, and loyalty. The research suggests that business owners in the Bekasi Batik industry should reinforce the brand image by fostering trust, incorporating added values, and cultivating prestige. Additionally, enhancing product quality through improvements in appearance, reliability, durability, and overall product attraction is recommended. The study concludes that strengthening the brand image and improving product quality is essential for fostering customer satisfaction and loyalty. These implications underscore the importance of strategic measures for Batik Bekasi businesses to thrive in a competitive market by ensuring customer contentment and building enduring loyalty.

Customized oral mucosal adhesive film applied with β-carotene-loaded delivery systems using an embedded 3D printing method

According to the trend of customization, research on customized functional food using 3D printing is actively progressing. In this study, β-carotene, which has a hydrophobic property that is difficult to apply to 3D printing because it is not mixed with water solvent, was overcome by using a delivery system. β-carotene was encapsulated with emulsions, biopolymer particles, and liposomes as delivery systems, and experiments were carried out by converting it into a gel-type (emulsion-filled gel [EG], biopolymer particle-filled gel [BG], and liposome -filled gel [LG]). The encapsulation efficiencies were 84.05%, 79.28%, and 92.84% for EG, BG, and LG, respectively. Rheological properties and 3D printing results showed that BG and LG were suitable for 3D printing under some conditions, but EG showed properties that were not suitable for printing under all conditions. In the stability and dissolution tests of EG, BG, and LG, LG showed the highest results. However, the storage stability and content test results were similar for EG, BG, and LG. Finally, as a customized evaluation, stability, storage, content, and dissolution tests were conducted according to the printing pattern and nozzle size conditions. As a result, significant differences occurred in all conditions according to the printing pattern and nozzle size. These results indicate that encapsulating β-carotene with hydrophobic properties into liposomes is the most efficient and stable method for loading 3D printing, and is also available for personal customization.

Exploring Customer Satisfaction through Electronic Banking Adoption in Rwandan Commercial Banks: A Case Study of Banque Populaire du Rwanda

This study examines the relationship between electronic banking and customer satisfaction at BPR branches in Nyamirambo and Muhima. The research aims to identify the influencers influencing electronic banking adoption, evaluate customer satisfaction levels, and establish the correlation between usage and customer contentment. The study involved 89 respondents from 850 users, using Slovin's method to ensure a representative sample. Demographic insights revealed a predominance of male customers aged between 26-30 years, with bachelor's level education. Most respondents had under a year's experience with electronic banking, highlighting its accessibility and ease for transactions. The study found that electronic banking fulfilled the majority of banking needs, leading to increased satisfaction levels among bank clients. However, the research emphasizes the need for increased awareness about mobile banking products due to lower adoption rates. Recommendations include disseminating information about electronic banking services, elucidating their functionality, and highlighting their benefits to enhance adoption rates and maximize customer satisfaction. Keywords: Electronic Banking Adoption, Customer Satisfaction, Rwandan Commercial Banks, Banque Populaire du Rwanda, Information Technology in Banking

“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.

Evaluation of building construction permission certificate and customer satisfaction in Lalitpur city: evidence from structural equation modeling

PurposeObtaining building permit certificate is an essential component of construction endeavors, but it can be cumbersome sometimes. The process is frequently beset with obstacles, including bureaucratic impediments, red-tapism, prolonged authorization protocols and insufficient inter-agency collaboration which result in project timeline extension, cost escalation and applicant dissatisfaction. Therefore, this study aims to examine customer satisfaction with the assessment of building construction permit certificates in Lalitpur, Nepal.Design/methodology/approachFollowing the notion of evaluation model theory, this study adopts an explanatory research design to determine the causal relationship between latent and observed variables. People who have recently completed the construction of their building and those people whose construction work is pending make up the population for the study. A total of 198 samples were collected by following the convenience sampling method from Lalitpur, Nepal. The primary data are collected by using the structured questionnaire with the interview process where the data are statistically evaluated using descriptive and inferential analysis using the KOBO toolbox, SPSS and AMOS. The connection between variables was examined using structural equation modeling (SEM).FindingsResults indicate that the negligence of the employees, the attitude of the employees, the need for additional costs and the hiring of the agent are the most significant obstacles encountered by customers during the process of getting construction permit. Regarding the whole assessment system, the general population expresses displeasure. SEM results indicate that environment and quality are significantly related to customer satisfaction.Originality/valueThis paper's novelty lies in its Nepal-specific inquiry into the relationship between building permit acquisition procedures and customer contentment. The study provides a distinctive viewpoint on this context by combining evaluation model theory and SEM. The localized approach emphasizes the importance of customized strategies to improve customer satisfaction, adding to the current literature on the subject. The study's use of SEM as a quantitative analysis tool enhances its methodological rigor. This interdisciplinary research offers valuable insights for academics, practitioners and policymakers in Nepal and contributes to the wider field of construction and customer satisfaction.

Verbalizer-visualizer preferences of engineering students: Validity and reliability

Learning content has several forms of presentation, both visual and verbal, but students have different characteristics in processing information depending on their learning preferences. Some students have difficulty processing information without knowing what to do. This happens because students do not yet understand the characteristics of their learning styles. This research aims to study the VVQ instrument used by engineering students by measuring the validity and reliability of the VVQ instrument used. This research uses a statistical quantitative method approach to measure the validity and reliability of the instrument. The instrument development process goes through three stages: analysis and formulation of a literature review, development of the VVQ instrument, and measurement of the validity and reliability of the VVQ instrument. Development of question items based on pre-arranged and customized content categories. The development of VVQ in this study shows the validity value of rcount > rtable, rcount > 0.1966 for each item, and the Person Moment (rxy) correlation is moderate (0.40 < rxy < 0.60) and high (0.60 < rxy < 0.80 ). This research instrument is reliable because the data shows Cronbach's Alpha value rcount > rtable; 0.817 > 0.6319, and the difficulty level is proportional (medium and high). The VVQ instrument achieves validity and reliability based on the analysis items that have been measured. The implications of this research have a significant impact on adjusting learning content to be more personalized based on student learning preferences.

Research on kitting evaluation method of complex electromechanical products

Precise and efficient product kitting evaluations are vital for boosting assembly performance and customer contentment for varied, small-batch, and intricate electromechanical products. However, current enterprise resource planning systems (ERP) provide inadequate support for analyzing the kitting of products. How to evaluate the degree to which customers' demands for a complete set of multiple products can be met when adjusting the importance level of customer demands without changing the customer demand date in the production system and affecting the scheduled customer orders has become one of the urgent problems that enterprises need to solve. In response to the above issues, this article presents a method for evaluating product kitting, which takes the maximum quantity of complete sets of products as the optimization objective, considers multiple constraints such as material inventory data and in process business data, and designs a multi-level BOM decomposition algorithm. Finally, a case study of a company producing core components for standard high-speed trains demonstrates the practicality and efficacy of the proposed method.

A Study on Customer Satisfaction of AirAsia Berhad

This study explores customer satisfaction in the context of AirAsia Berhad, a prominent low-cost airline. It focuses on three key dimensions: tangible, assurance, and responsiveness. The research reveals that tangible factors, such as the physical aspects of service, significantly influence customer satisfaction. Assurance, which encompasses competence, courtesy, and reliability, also plays a crucial role in keeping customer content. Moreover, responsiveness, or the airline's ability to deliver prompt and efficient service, enhances overall satisfaction. Understanding these dimensions is vital for AirAsia and similar airlines, as addressing them can meet customer expectations, foster loyalty, and improve overall performance. This research offers insights into the complex relationship between service quality and customer satisfaction in the airline industry, guiding strategies for enhancing the passenger experience.

Factors influencing Customer Contentment in Fast Food Restaurants Amid the COVID-19 Pandemic: A study from Lahore district

Fast food restaurants are a big hit in today’s world but there was a huge set back to these restaurants during COVID 19 pandemic. Restaurants face huge losses. They also changed dynamics of their operations offering different services. The dine-in mode changed to takeaways and delivery along with car dine-ins. This paper aims to determine relationship between factors including service quality, cultural and social dynamics, COVID 19 protocols, price and customer satisfaction. This study can be used as a basis for fast food restaurants and other related industries to enhance customer satisfaction worldwide.

Construction and Implementation of Curriculum Knowledge Bases by Integrating New Educational Resources

With the development of information technology (IT), the educational field has gradually entered a modernization stage. In this context, it is important to effectively integrate various educational resources to further improve teaching quality. However, existing methods of constructing curriculum knowledge bases face many challenges in several aspects, such as data fusion, knowledge reasoning, and so on. To address these issues, this study conducted in-depth research and practice on the construction of curriculum knowledge bases in the educational modernization field. The main content of this study includes the data fusion and knowledge reasoning of curriculum knowledge bases and the intelligent Q&A framework design of the bases in the educational modernization field. In the data fusion part, an entity alignment method based on semantic similarity was adopted, which effectively solved the problem of semantic relationship fusion between entities. In the knowledge reasoning part, the option-aware network based on attention mechanisms was used to significantly improve the accuracy and efficiency of reasoning. As part of the intelligent Q&A framework design, a sequence-to-sequence machine translation model was adopted, which intelligently queried the knowledge bases successfully and provided customized teaching content, thereby optimizing the learning process. This study provides effective theoretical and practical support for promoting educational modernization.

Digital Innovation in Hospitality: Bridging the Gap between Concierge Services and Hotel Guests

This study has a primary objective of investigating the existing gap that exists between guest interactions and hotel concierge services, with an emphasis on exploring potential solutions through software technology. To attain this goal, twenty in-depth interviews were conducted; eight conversations involved hotel concierges while twelve exchanges entailed interactions with guests. In conducting these interviews, the research aimed to gain extensive knowledge regarding challenges faced by both parties throughout their communication processes. Each interview was critically analysed to systematically identify specific issues suitable for resolution via software applications.
 The classification of concierge services facilitated the proposal of technology-based enhancements, which underwent testing by a focus group comprising both guests and concierges. The main objective of this study was to meticulously assess the proposed improvements in terms of their effectiveness in bridging gaps between these two groups. According to research results, there is a direct link between employing suggested software solutions and decreasing interaction discrepancies; implying that strategic usage can considerably boost hotel hospitality through better communication and comprehension among staff members and guests alike.
 The research suggests a wider implementation of technological resources in the hospitality industry as they can enhance guest experience and increase concierge efficiency. Further investigation could examine how effective these software solutions are across varying hotel environments and evaluate their lasting effects on customer contentment and hotel profits.

Artificial Intelligence and its Application in Today's Marketing Context

Artificial Intelligence (AI) has emerged as a transformative influence in the realm of marketing, reshaping approaches, and strategies across various sectors. This research study delves into the myriad applications of AI in contemporary marketing, with a specific focus on its influence on customer engagement, data analysis, customization, and the promising prospects it presents for marketing practitioners. The paper relies on secondary data resources to furnish a comprehensive overview of the present state of AI in marketing, drawing from articles in respected publications such as the International Journal of Management Science and Engineering Management, among others. The results underscore AI's pivotal role for modern marketers, providing inventive solutions that amplify efficiency, efficacy, and customer contentment.

Extracting design knowledge from online product reviews to support design creativity

ABSTRACT E-commerce has made customer-generated product reviews accessible for analysis. Each customer review summarizes the product's unique customer experience and features. In product development processes, it is essential to reach the information content of customer reviews early. Using customer content as data provides designers with comprehensive, cost-effective, and rapid insights into product evaluation, user experience, and even identification of new product features and creative design interventions. Despite all these superior potentials, analyzing unstructured and mass product review data takes time and effort with conventional methods. This study proposes to utilize product reviews as input for developing user experience-based products and to support designers' creativity in the early design phases. Therefore, in this study, the opinions of consumers about a product were subjected to a text mining analysis at different levels, and mood values were determined for each category and sub-product aspect with their justification. In the last part of the study, the essential product improvement areas based on the comment/sentiment score are presented, and the potential of product comments as information content about design creativity is discussed.

Transforming Society: The Evolving Impact of ChatGPT Technology from Present to Future (A Short Approach)

The advent of Chat Generative Pre-Trained Transform (ChatGPT) technology has ushered in a new era of humanmachine interaction, transforming the way we communicate, learn, and create. This article explores the journey of ChatGPT from its current applications to its potential future impact on society. Presently, ChatGPT has found its place in customer service, education, and content generation, revolutionizing these domains through its natural language processing capabilities. However, ethical concerns related to bias and misinformation have emerged, underscoring the need for responsible development and usage. Looking ahead, the future potential of ChatGPT is vast and transformative. Its integration into healthcare could offer personalized medical insights and emotional support. In education, it could reshape learning experiences through tailored tutoring and content creation. Moreover, it holds the promise of transcending language barriers, fostering global communication and collaboration. The realms of creativity, entertainment, and companionship also stand to benefit from Chat GPT’s evolving capabilities. While embracing these opportunities, it is crucial to address ethical considerations, such as bias mitigation and content verification. The responsible implementation of ChatGPT, guided by comprehensive ethical frameworks, will determine its true societal impact. This article underscores the importance of striking a balance between innovation and ethics, ensuring that Chat GPT’s journey continues to enrich our lives while upholding our shared values.

A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing (NLP) tool that comprehends and produces text in response to given commands. It can be adopted for various requirements, like answering our inquiries, assisting us with content creation, translating languages, and more. The fourth industrial revolution, called "Industry 4.0," denotes a new production age focused on automation, digitalisation, and real-time connectivity of production systems. ChatGPT can help Industry 4.0 in a variety of ways. ChatGPT and AI-driven process optimisation is poised to revolutionise Industry 4.0 by enhancing productivity, quality assurance, and efficiency. For developing this paper, various articles on ChatGPT/ AI for Industry 4.0 were identified through Scopus, ScienceDirect, Google Scholar and ResearchGate. Industry 4.0 progresses due to the incorporation of cutting-edge technology like AI, Machine Learning (ML), and NLP and Manufacturing operations are changing. The ChatGPT language model is becoming well-known for daily use because of its promising applications. In the framework of Industry 4.0, it promises to revolutionise processes to assist advancement in boosting business productivity and efficiency. This paper studies the major need for ChatGPT for Industry 4.0. Various associated features, traits and versatile competencies of ChatGPT for Industry 4.0 are identified and briefed. Finally, it identifies and discusses the significant applications of ChatGPT for Industry 4.0. ChatGPT is a very flexible and efficient method for creating human-machine interfaces and automatically generating text, which provides proper knowledge and guidance to the employee. Applications for ChatGPT include chatbots, virtual assistants, automated customer care, language translation, and content production. In future, it will become an effective tool for enhancing communication and automating processes in Industry 4.0.

Unveiling Patterns and Insights in a Retail Dataset: A Data Analytics Approach

Abstract: Data analytics plays a crucial role in extracting valuable information from extensive sets of data, empowering companies to make informed choices based on data. This research paper presents a thorough examination of retail data collection using diverse data analytics approaches. The goal is to discover significant patterns, tendencies, and valuable insights that can enhance business strategies and enhance customer contentment. The paper outlines the characteristics of the data set, explores the employed data analytics techniques, showcases the outcomes, and emphasizes the consequences and potential uses of the discoveries.

The risks of using ChatGPT to obtain common safety-related information and advice

ChatGPT is a highly advanced AI language model that has gained widespread popularity. It is trained to understand and generate human language and is used in various applications, including automated customer service, chatbots, and content generation. While it has the potential to offer many benefits, there are also concerns about its potential for misuse, particularly in relation to providing inappropriate or harmful safety-related information. To explore ChatGPT's (specifically version 3.5) capabilities in providing safety-related advice, a multidisciplinary consortium of experts was formed to analyse nine cases across different safety domains: using mobile phones while driving, supervising children around water, crowd management guidelines, precautions to prevent falls in older people, air pollution when exercising, intervening when a colleague is distressed, managing job demands to prevent burnout, protecting personal data in fitness apps, and fatigue when operating heavy machinery. The experts concluded that there is potential for significant risks when using ChatGPT as a source of information and advice for safety-related issues. ChatGPT provided incorrect or potentially harmful statements and emphasised individual responsibility, potentially leading to ecological fallacy. The study highlights the need for caution when using ChatGPT for safety-related information and expert verification, as well as the need for ethical considerations and safeguards to ensure users understand the limitations and receive appropriate advice, especially in low- and middle-income countries. The results of this investigation serve as a reminder that while AI technology continues to advance, caution must be exercised to ensure that its applications do not pose a threat to public safety.

Predicting on restaurant's hygiene rating: Does customer review emotion and content matter?

PurposeThe hygiene factor is always imperative when customers consider a certain restaurant, and the information contained in customer reviews can be an efficient approach to gauge a restaurant's hygiene during gaps in the official inspection. Therefore, the purpose of this study was to investigate whether information obtained from online reviews could predict the upcoming hygiene rating, specifically, evaluating the impact of both qualitative and quantitative content of reviews on the restaurant hygiene rating.Design/methodology/approachThe quantitative research method with big data analytic techniques was applied in this study. In total, 127,656 pieces of data collected from 1,710 restaurants in four major cities in the USA were used in the analysis. Both quantitative factors (i.e. reviewer's numerical rating, days to review, readability, useful/funny/cool) and qualitative factors (i.e. eight emotional dimensions of textual reviews) were analyzed from the online customer reviews and considered in predicting the restaurant's hygiene rating.FindingsSix out of eight emotional dimensions including anger, disgust, fear, sadness, surprise and trust were identified as having significant influences on the restaurant hygiene ratings. While three quantitative variables including days to review, readability and usefulness were identified with significant impacts on the dependent variable of restaurant hygiene rating.Originality/valueThis study opens an avenue for innovative research that establishes a connection between customers' reviews and restaurants' inspection systems. The results allow restaurants to predict an impending hygiene inspection rating upon dynamic assessment of review content and aid in adjusting hygiene measures accordingly.

Application of ChatGPT in Improving Customer Sentiment Analysis for Businesses

In the contemporary era of digitization, prosperous enterprises exhibit a keen interest in the feedback and perceptions of their customers regarding the products or services they provide. The analysis of customer sentiment, which entails comprehending and construing customer emotions and viewpoints, has emerged as a crucial element of business tactics aimed at augmenting customer contentment and recognising avenues for enhancement. The objective of this study is to investigate and employ ChatGPT within the realm of business customer sentiment analysis. The central focus of this inquiry is predominantly qualitative in character. The procedure of gathering data entails careful scrutiny and systematic documentation of information, subsequently utilising analytical techniques such as data reduction, visualisation, and inference to deduce significant findings. The findings of the study indicate that the utilisation of ChatGPT has significant potential in enhancing the analysis of customer sentiment for commercial enterprises. This can aid in comprehending and addressing the requirements, inclinations, and contentment levels of customers. ChatGPT's proficiency in comprehending natural language, detecting customer emotions, and processing extensive data instantaneously, can furnish enterprises with valuable perspectives to enhance their decision-making processes.