Product Customer Research Articles

Sustainable Manufacturing Engineering: Enhancing Product Quality through Green Process Innovations

The imperative for sustainable practices within manufacturing has become increasingly critical, driven by environmental concerns, regulatory pressures, and the evolving expectations of eco-conscious consumers. This paper investigates the role of sustainable manufacturing engineering in enhancing product quality through the implementation of green process innovations. Specifically, the study explores how sustainable manufacturing methods, including energy-efficient systems, additive manufacturing, zero-waste production, and renewable energy integration, can drive quality improvements while reducing the environmental impact of production processes. The research is grounded in a comprehensive analysis of current green innovations in the manufacturing sector, drawing on case studies of companies that have successfully balanced quality and sustainability. The findings indicate that companies adopting sustainable practices not only reduce waste and lower emissions but also experience notable gains in product durability, customer satisfaction, and brand reputation. For instance, additive manufacturing is shown to improve precision and material efficiency, while zero-waste initiatives lead to a more efficient resource cycle, which in turn supports consistent quality standards. This paper further delves into the challenges of implementing green manufacturing processes without compromising product quality, examining factors such as initial costs, technological readiness, and market adaptation. Visual data in the form of tables and graphs are presented to compare different green process innovations and their respective impacts on quality and sustainability metrics. In addition, case study summaries provide real-world examples of how leading companies have enhanced product quality through sustainable engineering approaches. This study underscores the value of sustainable manufacturing engineering as a dual-benefit strategy that can drive environmental stewardship alongside quality enhancement. The paper recommends that future research focus on the development of new, cost-effective green technologies and the application of advanced data analytics for improved process control in sustainable manufacturing. Through these efforts, the manufacturing sector can continue advancing toward a more sustainable, high-quality production paradigm.

Enhancing Predictive Analytics in Business Intelligence through Explainable AI: A Case Study in Financial Products

Today, when the importance of data-based decision-making is impossible to question, the use of Explainable Artificial Intelligence (XAI) in business intelligence (BI) has inestimable benefits for the financial industry. This paper discusses how XAI influences predictive analytics in BI systems and how it may improve interpretability, and useful suggestions for financial product companies. Thus, within the context of this study, an XAI framework helps the financial institutions to employ higher-performing and more accurate models, like gradient boosting and neural networks, while sustaining interpretability required in tendentious planning and satisfying governance and supervision necessities. These studies reveal that, as applied to the credit scoring dilemma, XAI techniques such as SHAP and LIME do not only enhance prediction consistency and performance, but also offer a detailed understanding of customer behaviours, risk profiles and product performance. They help in interacting and acting within fields that involve decision making on aspects like customer loyalty, probable risks and audit. Furthermore, the study establishes that by incorporating XAI into BI improves model interpretability, which helps financial experts provide tangible rationale for analytical results and conform to regulatory directives. This framework and findings also support the importance of introducing XAI for financial BI applications to improve analytics practice within the sector. , enabling the generation of higher confidence, reliable decisions, which place the subject of XAI as a profound evolution of business intelligence in finance.

AI-Driven Personalization in Financial Services: Enhancing Customer Experience and Operational Efficiency

This article explores how emerging technologies are influencing personalization in the financial services sector. Personalized services enhance customer experience and promote financial inclusion. By leveraging big data and AI, financial institutions can collect and analyze customer data to offer tailored services. AI-driven analytics provide real-time insights for financial modeling, risk management, and automation. The integration of machine learning structures in financial services to meet individual customer needs, ensuring product customization. Emerging technologies promise greater accuracy and personalization, driving better financial outcomes within the industry. This technological advancement is crucial for the modern financial landscape, enhancing performance and customer satisfaction.

Determinants of Access to Bank Credit by Smallholder Agricultural Households in Uganda: Evidence from UNHS 2019/2020

Agricultural credit plays a significant role in boosting cash and food crop production for household consumption, domestic and foreign markets. The purpose of this study was to investigate the determinants that affect smallholder farmer’s access to bank credit in Uganda. The study used data from the Uganda National Household Survey 2019/2020 (UNHS). The study utilized a logit regression model for the analysis of data. The findings from the model showed that farmer’s access to bank credit in Uganda was positively and significantly influenced by sex of the household head, income level of the household head, marital status of the household head, age of the household head and ownership of a bank savings account. The study’s conclusions led to the development of key policy recommendations. These include promoting a savings culture through various initiatives, providing incentives such as special savings accounts or matching deposit programs, creating customized banking products to carter to farmers needs and offering free tertiary education to graduates of Universal Primary Education, Universal Secondary Education, and Universal Post O Level Education and Training

FORMATION OF STRATEGIC DIRECTIONS FOR THE USE OF ARTIFICIAL INTELLIGENCE IN THE ENTERPRISE TO ACHIEVE THE GOALS OF SUSTAINABLE DEVELOPMENT

Rapid artificial intelligence (AI) development opens new opportunities for enterprises to achieve sustainable development goals. This article summarizes the research results of applying AI to optimize production processes, reduce environmental impact, increase productivity, and strengthen social responsibility. The article aims to highlight the potential of AI for achieving enterprises' sustainable development goals and identify effective strategies for its application to increase economic efficiency, social responsibility, and environmental sustainability. A qualitative analysis of statistical data, official regulatory documents, books, and articles from accredited journals was used to achieve the goal. The obtained results showed that AI could be used to analyze production processes and forecast the demand for raw materials, optimize supply chains and reduce energy consumption, identify potential sustainability risks and develop strategies to prevent them, identify defects in production and control product quality in real-time, create personalized services and products for customers. The study highlights the importance of AI's ethical and safe use to ensure its positive impact on society and the environment. The practical value of the article lies in the systematic review of studies on the effects of AI on the sustainable development of enterprises. The obtained results can be used to improve production processes, increase enterprises' competitiveness, and promote sustainable development.

Digital transformation and industry 4.0 in pharma manufacturing: the role of iot, ai, and big data

The pharmaceutical industry is undergoing a significant transformation driven by the integration of digital technologies, collectively known as Industry 4.0. This shift is redefining how drugs are developed, manufactured, and distributed. Key technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and big data analytics are at the forefront of this change, enabling smart manufacturing, real-time process optimization, and enhanced supply chain management. IoT facilitates the creation of interconnected production environments where sensors and devices continuously monitor critical parameters, ensuring optimal conditions and predictive maintenance. AI accelerates drug discovery through predictive modeling, automates quality control processes, and employs predictive analytics to enhance maintenance and process improvement. Big data empowers data-driven decision-making, ensures regulatory compliance through comprehensive analysis, and supports the shift toward personalized medicine by enabling customized drug production. Despite the significant benefits, the adoption of these technologies poses challenges, including integration with existing systems, data security concerns, and navigating a complex regulatory landscape. This review explores these technologies' impact on pharmaceutical manufacturing, highlighting successful case studies and best practices. Additionally, it discusses the future directions, including the move towards fully autonomous systems and the importance of collaboration between tech companies, manufacturers, and regulators to drive innovation and ensure compliance. The continued evolution of digital technologies in pharma manufacturing promises to enhance efficiency, reduce costs, and deliver more personalized treatments.

Enhancing Consumer Loyalty and Market Competitiveness: Approaching IPA-QFD in Product Development

This paper provides an overview of AA.co.Store, is a fashion business founded in 2021. Despite being in the development stage, AA.co.Store can compete with other local brands in Sidoarjo. To maintain and attract more consumers, the company focuses on improving product quality. The success of a business is measured by the number of products produced and their competitiveness in the market. Product development is crucial to increase competitiveness and attract future consumers. The quality of the product and promotional activities significantly impact customer satisfaction. Pricing and distribution also influence purchasing decisions. To compete with competitors, AA.co.Store needs a comprehensive strategy. Research suggests that product quality, price, customer satisfaction, and brand image affect consumer loyalty and satisfaction. The purpose of this research is to improve AA.co.Store's product development using an IPA-QFD-based marketing mix aligned that very important for Development Goals (SDGs) of the store to compete with other local brands in Sidoarjo. The results of this study were AA.co.Store service quality, it can be concluded that Customer satisfaction with AA.co.Store services is fulfilled, which is indicated by the results of the questionnaire using the SERVQUAL method which does not show a negative value for the AA.co.Store brand when compared to other brands. There are three service quality attributes that need to be prioritised for improvement at AA.co.Store, namely the price of t-shirts that are more competitive than other brands, the condition of the parking lot, and cleanliness. There are several steps that can be taken to improve service quality based on technical needs, including: a.) changing the organisational strategy on company performance, especially in the operational section, b.) increasing the stock of materials to meet the number of orders, c.) providing training and development on existing SOPs, and d.) repairing and maintaining existing equipment in the company.

Digital Manufacturing System of Custom Wigs with Measurable 3D Images

Wigs are major important means for improving life quality of the increasing people suffered from hair loss through their image enhancements. For the production of custom made wigs, there requires a mold that reproduces the wearer’s head dimension and the shape of hair loss. The conventional method for this is to make a resin film that adheres to the wig wearer’s head using vinyl tape, and to make a wig pattern with drawing the shape of hair loss onto the film, and to produce a head mold with this pattern, and then to plant hair in a wig cap made based on this mold and wig pattern. This method requires highly skilled manual work, and generates a large amount of chemical waste during the manufacturing process, and takes a long manufacturing period. However, the digital automation of measuring head dimension and the shape of hair loss can replace or omit the production of wig patterns. In this study, a 3D head image capable of actual measurement was implemented by using a 3D polygon head shape measurement device and a camera, which makes a digital production system possible, which can replace the manual wig pattern production process for custom wigs.

The Impact of Social Media Marketing Activities on Purchase Intention

This study seeks to investigate the marketing activities available through social media platforms that are reflected in the purchase intention of consumers in general. Further, it explores the joint mediation effect of both perceived value (PV) and social brand engagement (SBE) on SMM-PI connection. A convenience sample strategy was employed to gather data from 338 cosmetic product customers in Palestine through a structured online questionnaire survey. Subsequently, the data underwent examination using intelligent (PLS-SEM) analysis. According to the results of the study, there is a positive relationship between marketing activities through social media platforms on consumer’s beneficial impact on brand perception (PV), consumer engagement (SBE), and purchase intention (PI). Moreover, PV and SBE exert substantial direct beneficial impacts on PI. As for the intermediate effects, they were all effective, and the mediation impact of PV (Perceived Value) and SBE (Social Bonding Experiences) on the relation between SMM and PI is partially complimentary.

Analysis of Micro Business Marketing Strategy in Facing Competition

This study is motivated by the challenges faced in the development of micro-enterprises at Bukit Sion Market, largely due to the high level of competition. Many businesses struggle to determine appropriate financing models and product offerings, as the market is saturated with similar products offered by competitors. The objective of this research is to analyze the marketing strategies employed by micro-enterprises and identify the obstacles they face in dealing with competition at Bukit Sion Market, Lahomi District. The research employs a descriptive qualitative method. The findings reveal that all food stalls adopt marketing strategies that include market selection, product planning, pricing, distribution systems, and marketing communication. Effective marketing strategies, such as offering discounts, special promotions, or hosting promotional events, have been shown to significantly boost sales. However, the food stalls encounter several challenges, including intensified competition due to the emergence of similar businesses offering comparable products, a lack of product innovation and promotion, fluctuations in raw material prices, as well as issues with product quality consistency, customer service, and overall customer experience.

A data-driven operations management model: Implementing MIS for strategic decision making in tech businesses

In today’s rapidly evolving technological landscape, data-driven decision-making is critical for business growth and competitiveness. This paper presents a comprehensive operations management model that integrates Management Information Systems (MIS) to facilitate strategic decision-making in technology firms. The proposed model emphasizes the transformation of raw data into actionable insights, enabling organizations to optimize their operations and respond effectively to market dynamics. By systematically incorporating MIS into operational frameworks, the model provides a structured approach to data collection, analysis, and dissemination. It identifies key performance indicators (KPIs) that are essential for monitoring business performance and aligning operational activities with strategic objectives. Through case studies of leading tech companies, the model illustrates how data-driven methodologies can lead to improved forecasting, resource allocation, and overall operational efficiency. The framework is designed to be adaptable, allowing technology firms to customize the MIS components based on their unique business needs and market conditions. Key features of the model include real-time data analytics, predictive modeling, and user-friendly dashboards that enhance visibility across departments. These components empower decision-makers with timely and relevant information, fostering a culture of informed decision-making at all organizational levels. Moreover, the model addresses common challenges faced by tech businesses, such as data silos and integration issues. By promoting a centralized data repository and standardized reporting mechanisms, it enhances collaboration among teams and ensures consistency in data interpretation. The implications of this model extend beyond operational efficiency, influencing strategic initiatives such as product development, market expansion, and customer engagement. In conclusion, this data-driven operations management model not only supports strategic decision-making in technology firms but also positions them for sustainable growth in a competitive marketplace. By leveraging MIS effectively, organizations can harness the power of data to drive innovation and enhance overall business performance.

EXPLORING THE PRICING STRATEGIES OF VEGETABLES VENDORS

Pricing is one of the determining factors in assessing gross sales and profit, especially in vegetable vendors. Pricing techniques shall be assessed to reach long-term profitability. This study examines how vegetable vendors of Bongao Public Market decide on prices. Five standard pricing methods were explored, including adding a markup to costs, pricing based on competitors, setting prices according to perceived value, setting high prices then lowering them over time, and adjusting with low prices to gain market share. Fifty respondents were chosen to participate in this study through simple random sampling. This study used surveys, interviews, and market observations. The findings show that vendors are aware of pricing techniques. They use different strategies depending on factors like production costs, competition, and customer preferences. This study aimed to help vendors and others in the vegetable business make better decisions by understanding these pricing methods and their effects. KEYWORDS: Pricing, Pricing Strategies, Vendors, Vegetables Vendors

In the clash between consumer green values and company green values, who will win? The role of greenwashing and involvement in environmental campaigns on social media

While studies have focused on exploring the implications of greenwashing, specifically its impact on customer behavior, scant research has considered the origins and precursors of perceived greenwashing, especially from the perspective of customers' environmental values. This study examined links between customers' environmental beliefs, awareness of sustainable development goals (SDGs), personal responsibility, and perceived greenwashing. The study also examined the moderating role of involvement in environmental campaigns on social media on the link between perceived greenwashing and company outcomes (i.e. perceived company green value and brand attachment). Data were gathered from customers of battery products in China. Path analyses and group analyses were conducted to test hypotheses. The main findings showed that customers’ green values enhanced perceptions of greenwashing, which further reduced perceived company green value and brand attachment. The negative link between perceived greenwashing and company outcomes was stronger among customers who reported involvement in environmental campaigns on social media.

Impact of Brand Equity and Purchase Intention on Dietetics and Nutrition Consultation Service

The market value of a brand is reflected by brand equity. It signals consumers' recognition and preferability toward certain brands. In a highly competitive market, brand equity becomes crucial as it can lead to customer loyalty and product resilience. Strong brand equity helps a company to stand out among competitors and can significantly influence financial performance by driving higher sales volume and profitability. As more Malaysians shift their lifestyles and become more health-conscious after the COVID-19 pandemic, the demand in the healthcare market has expanded massively. By focusing on the healthcare market, especially on dietetics and nutrition consultation services, this paper seeks to evaluate how brand equity influences consumers’ intention in making purchases. Four dimensions of brand equity will be investigated, consisting of perceived quality, brand awareness, brand association and brand image. A total of 194 data were collected using the convenience sampling method in the Subang Jaya region, Malaysia. The findings of this study showed that perceived quality, brand awareness, and brand association have a positive significant impact on purchase intention for dietetics and nutrition consultation services while brand image was found to be insignificantly influencing purchase intention. This provides insight and implications for the dietetics and nutrition consultation services market and practitioners, especially in formulating their marketing strategies.

PENGARUH PROMOSI DAN KUALITAS PRODUK KCA (KREDIT CEPAT AMAN) TERHADAP KEPUTUSAN NASABAH PADA PT PEGADAIAN (PERSERO) UNIT PANARUKAN DENGAN KEPUASAN NASABAH SEBAGAI VARIABEL INTERVENING

From time to time, public demand for credit increases. The PT Pegadaian (PERSERO) financial report stated that turnover and outstanding loans for each type of credit experienced growth from the previous year, thereby increasing capital rental income. This provides an opportunity for PT Pegadaian as an alternative to provide credit services to low-income groups of people who lack credit facilities from bank financial institutions. PT Pegadaian (Persero) provides credit very easily and quickly. One of the credit services provided to the public at pawnshops is a product called KCA. KCA is a superior product that is respected by the public. In general, the aim of this research is to describe, prove and analyze the influence of promotions and KCA product quality on customer decisions through customer satisfaction at PT Pegadaian (Persero) Panarukan Unit. The variables used are promotion, KCA product quality, satisfaction and customer decisions. The type of research is quantitative research. The research sample was collected using a purposive sampling method of 105 customers who had chosen more than one KCA product. The analysis tool used is path analysis. After conducting path analysis, it was found that promotion and product quality had a significant direct and indirect effect on customer decisions through satisfaction.

Product quality, marketing strategy, and customer satisfaction: Basis for food industry revenue growth strategy framework

Product quality, marketing strategy, and customer satisfaction: Basis for food industry revenue growth strategy framework

Popping-Up Poster: A Pin-Based Promotional Poster Device for Engaging Customers through Physical Shape Transformation

Promotional media, such as paper posters and digital signage, are installed in shopping malls to recommend products and services. However, it has been reported that many customers tend not to be interested in these promotional media and do not receive the information. When product information is not communicated effectively, advertisers are unable to convey the information they wish to share with customers, and customers miss the opportunity to receive valuable information. To address such issues, a lot of methods have been proposed to make people aware of the presence of media; however, there are not many methods that take into account the delivery of product information to customers. In this study, we propose Popping-Up Poster, a pin-based poster device designed to capture customer attention and convey information through dynamic shape changes. To verify the effectiveness of the proposed system, field experiments were conducted in a café, where its promotional effects were compared with those of traditional promotional media, including paper posters and digital signage. These results show that Popping-Up Poster has the potential to be more effective in recommending products and influencing customer product choices compared to conventional promotional media.

The influence of supply chain agility on FMCG SME marketing flexibility and customer satisfaction

In the fast-paced Fast-Moving Consumer Goods (FMCG) sector, small and medium-sized enterprises (SMEs) must adapt swiftly to changing market conditions and consumer demands to stay competitive. This review explores the influence of supply chain agility on marketing flexibility and customer satisfaction in FMCG SMEs. Supply chain agility, characterized by responsiveness, adaptability, and real-time decision-making, enables SMEs to respond quickly to market shifts, optimize operations, and deliver products efficiently. As a result, agile supply chains directly impact the marketing flexibility of SMEs by enabling faster product launches, customization, and rapid adjustments to promotional strategies based on market feedback. This also highlights how marketing flexibility, supported by agile supply chains, enhances customer satisfaction by meeting expectations related to product availability, quality, and service delivery. Agile supply chains allow FMCG SMEs to reduce stockouts, improve order fulfillment times, and adapt to customer preferences, creating a seamless experience that fosters brand loyalty. Furthermore, this review presents case studies of FMCG SMEs that have successfully implemented agile supply chains to boost marketing responsiveness and customer satisfaction, demonstrating real-world applications of these strategies. By examining the interrelationship between supply chain agility, marketing flexibility, and customer satisfaction, this review emphasizes the importance of an integrated approach to operations and marketing in FMCG SMEs. The findings suggest that investing in supply chain agility is critical for SMEs seeking to enhance their market adaptability and customer-centricity. The study concludes by offering recommendations for FMCG SMEs to develop agile supply chains that enable them to thrive in a competitive and ever-evolving marketplace, where customer satisfaction and rapid market response are key drivers of success. Keywords: Supply Chain, FMCG SME, Marketing Flexibility, Review.

The Influence of Product Quality and Service Quality on Customer Loyalty Through Customer Satisfaction

Product quality an important role in the marketing strategy that can be implemented by Informa by providing the best products for its consumers to provide trust, satisfaction and a positive experience so that consumers make product purchases in the future. The purpose of this study was to determine the greatest influence of customer loyalty. This type of research is quantitative with a purposive sampling technique distributed through a questionnaire to 190 male and female respondents of Informa product customers aged 17-50 years who have made a purchase at least 1 time in the last 1 year and domiciled in Jakarta. Primary data analysis was carried out using the SEM Smart PLS method. The results of this study indicate that product quality and service quality have an effect on customer satisfaction. Furthermore, product quality and service quality have a direct effect on customer loyalty, but satisfaction does not affect customer loyalty. Customer satisfaction is not proven to be a mediation between product quality and service quality on customer loyalty. This study contributes to Informa in maintaining and increasing customer loyalty, which can be seen from several factors formed from each consumer complaint optimally and measurably. For further research, the researcher suggests expanding the research area and looking for objects in other fields.

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.