Customization Process Research Articles

Evaluation of customer engagement and interaction in online garment customisation

ABSTRACT Online configurators enable the widespread customisation of products using personal devices. Through virtual simulation, the configuration process can become more interactive and immersive, opening new opportunities for a range of sectors. However, when it comes to fashion, the garment customisation process can be complicated and confusing for customers to navigate in an unguided environment. This study investigates established online garment customisation methods, to understand how the remote digital environment impacts customers’ engagement with garment function, form and fit. Participants with previous garment customisation experience were asked to customise a shirt using an online configurator, and data was collected through in-depth interviews to understand customers’ decision journeys and emotional responses toward a digitally configured product. The results indicate that, despite a positive experience in configuring appearance, customers’ inability to visualise the customised garment on their body could result in less satisfaction with, and sense of ownership of, the designed digital outcome.

Harnessing Disruptive Innovation: A Conceptual Model for SME Growth and Adaptation

In the context of sustaining innovation, small and medium enterprises (SMEs) strive to enhance their market position through product improvements. However, globalization and rapid technological advancements pose significant challenges, urging SMEs to integrate innovative capabilities into their business models. Effective SME business model innovation, fueled by customer insights, process efficiency, and technology application, can promote development and unlock additional value-creation resources. Despite this, SMEs encounter difficulties in capitalizing on disruptive innovation due to the competitive, technology-driven, and volatile global market. This study aimed to define a comprehensive conceptual model of disruptive innovation specifically tailored for SMEs. Through an automated content analysis of relevant literature, 13 themes and 82 concepts were identified and categorized into four strategic alignment domains. These domains provide a framework for operationalizing the findings and constructing a conceptual model of disruptive innovation. Utilizing this conceptual model as a checklist can assist SMEs in turning disruption into opportunity, thereby supporting their adaptation and growth in an increasingly competitive landscape.

Comparative analysis of YOLO models for green coffee bean detection and defect classification

The quality and uniformity of green coffee beans significantly influence the overall flavor and value of the product. In the coffee industry, automated flaws and bean-type identification offer numerous advantages. This study examines the effectiveness of multiple YOLO (You Only Look Once) models for identifying and classifying green coffee beans. Various YOLO variants, including YOLOv3, YOLOv4, YOLOv5, YOLOv7, YOLOv8, and custom models, are compared with a focus on computational efficiency, accuracy, and speed. Utilizing a dataset of 4,032 training and 506 testing images encompassing diverse bean types, defects, and lighting conditions, we assessed the performance. The bounding boxes generated by our models accurately encompass coffee beans, with the background typically uniform and set to black. Our analysis reveals the superior performance of the custom-YOLOv8n model, which we meticulously customized for green coffee bean detection. This model achieved high precision, recall, f1-score, and mAP, demonstrating its potential for real-world implementation in coffee bean quality control systems. The customization process involved fine-tuning the model to focus on significant features relevant to green coffee bean detection and employing specific labeling strategies. Customization allows you to fine-tune the model to focus on important features relevant to green coffee bean detection. This sensitivity ensures that the model can effectively distinguish between different bean types and detect even subtle defects. This paper clarifies our primary objective of evaluating YOLO models’ performance in identifying and categorizing green coffee beans, with potential implications for enhancing efficiency and consistency in the coffee industry. A succinct key sentence underscores the benefits of our research for readers seeking efficient YOLO model selection and implementation in agricultural systems.

OCTOPUS: operation control system for task optimization and job parallelization via a user-optimal scheduler

The material acceleration platform, empowered by robotics and artificial intelligence, is a transformative approach for expediting material discovery processes across diverse domains. However, the development of an operating system for material acceleration platform faces challenges in simultaneously managing diverse experiments from multiple users. Specifically, when it is utilized by multiple users, the overlapping challenges of experimental modules or devices can lead to inefficiencies in both resource utilization and safety hazards. To overcome these challenges, we present an operation control system for material acceleration platform, namely, OCTOPUS, which is an acronym for operation control system for task optimization and job parallelization via a user-optimal scheduler. OCTOPUS streamlines experiment scheduling and optimizes resource utilization through integrating its interface node, master node and module nodes. Leveraging process modularization and a network protocol, OCTOPUS ensures the homogeneity, scalability, safety and versatility of the platform. In addition, OCTOPUS embodies a user-optimal scheduler. Job parallelization and task optimization techniques mitigate delays and safety hazards within realistic operational environments, while the closed-packing schedule algorithm efficiently executes multiple jobs with minimal resource waste. Copilot of OCTOPUS is developed to promote the reusability of OCTOPUS for potential users with their own sets of lab resources, which substantially simplifies the process of code generation and customization through GPT recommendations and client feedback. This work offers a solution to the challenges encountered within the platform accessed by multiple users, and thereby will facilitate its widespread adoption in material development processes.

Frankenstein's Monster in the Metaverse: User Interaction With Customized Virtual Agents.

Enabled by the latest achievements in artificial intelligence (AI), computer graphics as well as virtual, augmented, and mixed reality (VR/AR/MR), virtual agents are increasingly resembling humans in both their appearance and intelligent behavior. This results in enormous potential for agents to support users in their daily lives, for example in customer service, healthcare, education or the envisioned all-encompassing metaverse. Today's technology would allow users to customize their conversation partners in the metaverse - as opposed to reality - according to their preferences, potentially improving the user experience. On the other hand, there is little research on how reshaping the head of a communication partner might affect the immediate interaction with them. In this paper, we investigate the user requirements for and the effects of agent customization. In a two-stage user study ($N=30$), we collected both self-reported evaluations (e.g., intrinsic motivation) and interaction metrics (e.g., interaction duration and number of tried out items) for the process of agent customization itself as well as data on how users perceived the subsequent human-agent interaction in VR. Our results indicate that users only wish to have full customization for agents in their personal social circle, while for general services, a selection or even a definite assignment of pre-configured agents is sufficient. When customization is offered, attributes such as gender, clothing or hair are subjectively more relevant to users than facial features such as skin or eye color. Although the customization of human interaction partners is beyond our control, customization of virtual agents significantly increases perceived social presence as well as rapport and trust. Further findings on user motivation and agent diversity are discussed in the paper.

Penerapan Model Rational Unified Process (RUP) Dalam Membangun Aplikasi Promosi dan Penjualan Berbasis Web (Studi Kasus: Toko Mie Ayam “Neng Kene Kiyeh”)

This research discusses the application of the Rational Unified Process (RUP) Model in thedevelopment of web-based promotion and sales applications, with a case study at the Chicken Noodle Shop“Neng Kene Kiyeh”. The purpose of this research is to design and implement applications that can increasethe efficiency of promotion and sales of chicken noodle products through digital platforms. The RUPmethod was chosen because of its iterative approach and focus on user needs, allowing for more structuredand controlled software development. The RUP model consists of four main phases: inception, elaboration,construction, and transition. In the inception phase, a needs identification and feasibility study are conductedto ensure that the application to be developed matches the business needs of the store. The elaboration phaseinvolves more in-depth analysis and system design, including use case modeling, risk analysis, andapplication architecture design. In the construction phase, application development is carried out with aniterative approach, allowing for improvements and adjustments based on user feedback. The transitionphase involves application testing and end-user training, as well as full system implementation. The result ofthis research is a web application that has main features such as product catalog, online ordering system, inventory management, and integrated digital promotion. The implementation of this application is expectedto increase the visibility of Chicken Noodle Shop “Neng Kene Kiyeh” in the digital market, simplify theordering process for customers, and increase sales. The trial shows that this application can function asexpected, and provides significant benefits in the store's operational processes. The conclusion of thisresearch is that the application of the RUP model can be an effective approach in building web-basedpromotional and sales applications, with a focus on meeting user needs and improving businessperformance.

Implementasi Metode CRM (Customer Relationship Management) pada Sistem Informasi Website Nadu Screen Printing

This research aims to implement the CRM (customer relationship management) method on the Nadu Screen Printing website information system which is useful for simplifying customer orders and processing customer databases. This research uses the Agile software development method. The evaluation results with the System Usability Scale (SUS) show that this system meets the standards with a final score reaching 86.5 in the "Acceptable" category with a grade scale of "A" and a rating of "Best Imaginable".

Analisis Kinerja Baznas Kabupaten Sukoharjo Dengan Metode Balanced Scorecard

The optimization of zakat management requires strong institutional support. One effort to achieve this is by evaluating the performance of zakat management institutions, particularly the National Amil Zakat Agency (BAZNAS). Several performance measurement models have been developed, such as IZN, IDZ, CIBEST, IMZ, ISZM, and the Balanced Scorecard. These models enable a comprehensive and simultaneous performance evaluation of BAZNAS. For example, a previous study analyzed the performance of BAZNAS Sukoharjo using the IZN model, with results indicating a "fair" performance. To build on this research, the present study uses field research with a descriptive qualitative approach, employing the Balanced Scorecard analysis. It measures performance from four perspectives: financial, customer (muzakki), internal business processes, and learning and growth. The results show that the performance of BAZNAS Sukoharjo, evaluated using the Balanced Scorecard, is rated "good" in the financial (zakat fund growth), customer (muzakki), and internal business process (programs implemented) perspectives, with a score of "1." Furthermore, the learning and growth perspective also achieved a "good" rating, with a score of "1." These results indicate that the performance has met the work targets, as well as the institution's vision and mission.

Research on Collaborative Strategy of Supply Chain Management under the Background of NIKE Mass Customization

Abstract: With the continuous advancement of technology and the popularization of the Internet, consumers' demand for personalized products is increasingly high. Traditional production modes have been unable to meet consumers' demands for product uniqueness and personalized experiences, which requires manufacturing enterprises to shift towards mass customization modes with unique advantages in production efficiency and cost control. Taking Nike as an example, this paper analyzes its supply chain problems based on its financial report. It then explores Nike's mass customization process using C2M and 3D printing, as well as information collaboration methods in the supply chain. Additionally, the paper analyzes AR-based virtual fitting technology and evaluates Nike's internal matrix organizational structure for customization and collaboration. From the perspectives of Nike's technology level and internal organizational structure, this paper analyzes the supply chain management and information collaboration process in its mass customization process, aiming to provide references for related manufacturing industries in enterprise operation and technology application during the mass customization process.

Operationalization of ESG-Integrated Strategy Through the Balanced Scorecard in FMCG Companies

The increasing focus on sustainability and climate change mitigation necessitates that corporate strategies not only build competitive advantage but also contribute to the creation of sustainable operations. The purpose of the article is to present, based on the analyses of the development of the strategic targets of leading Fast-Moving Consumer Goods (FMCG) companies, a method for operationalizing an ESG-adapted corporate strategy within FMCG companies using the Balanced Scorecard (BSC). ESG, encompassing environmental, social, and governance factors, requires a shift in both strategic management theory and practice. The author explores how ESG metrics can be integrated into the traditional BSC framework alongside financial, customer, and business processes and learning and growth perspectives to align with the growing importance of sustainability. The study identifies specific measures that contribute to a successful transition toward sustainable business practices. The findings demonstrate that the BSC, when adapted to incorporate ESG considerations, is an effective tool for strategy implementation and operational management in FMCG companies. While the proposed framework focuses on the FMCG sector, it has potential applications across other industries. The article makes important theoretical contributions, though it would benefit from further empirical research, sector-specific comparisons, and a more detailed examination of external ESG factors that impact corporate strategy.

ANALISIS DAN PERANCANGAN SISTEM INFORMASI PEMESANAN JASA MAKE-UP ARTIST (MUA) BERBASIS WEB PADA SITI MARIATUN MAKEUP

Nowadays, looking attractive and beautiful has become a daily necessity, especially for the face when attending big events such as graduations, weddings, engagements or other events. A Makeup Artist (MUA) is someone who has a profession as a make-up artist. In Pematang Gajah Jambi there is one make up artist who offers his services, namely Fitriafztmakeup art. However, the ordering process is still done manually, these mua usually offer or promote their services only through social media accounts and by word of mouth. Therefore, a system was developed that can assist the ordering process for customers and provide information on the services provided at Siti Mariatun Makeup. The methods used in this research are observation and interviews. The system development method used is Prototype as the design process. This research produces a system that can order make-up services via the website and can see what services are provided as well as the prices of each make-up service available at Siti Mariatun Makeup to make ordering make-up services easier

AI in Healthcare: Breaking New Ground in the Management and Treatment of Cancer

Artificial intelligence (AI) is revolutionizing cancer treatment by enhancing patient management, diagnosis, and therapy. Through advanced AI algorithms, early diagnosis of tumors is made more accurate by detecting subtle abnormalities that might be missed by the human eye. This early detection is critical for successful treatment and better patient outcomes. The objective of this research is to evaluate the impact of AI on improving cancer diagnosis, treatment customization, and drug development processes. The findings reveal that AI significantly accelerates the drug discovery process by analyzing large datasets to identify potential candidates, thus reducing the time and costs associated with developing new treatments. Furthermore, AI enhances clinical trials by improving patient recruitment and optimizing trial design, leading to higher success rates. AI-driven telemedicine solutions also help bridge healthcare gaps in underserved areas, ensuring more equitable access to cancer treatment. The research’s implications suggest that, despite challenges such as data security and the need for improved infrastructure, AI holds great potential to further individualize, streamline, and expand the availability of cancer care. Future advancements are likely to make cancer treatment even more precise, effective, and accessible worldwide.

Examining trade strategies in Europe and Ukraine: Navigating challenges and building economic strength

Today, the global community operates within an integrated global economic system. Against the backdrop of globalised integration of the socio-economic sphere, international trade is positioned as a significant factor in the intensification of economic development. In this context, trade strategies can create new opportunities or risks for the national economy. This article aims to conduct a comparative analysis of the trade strategies of the European Union (EU) and Ukraine in the context of potential advantages and related challenges for economic resilience. The study finds that international trade helps to mitigate the limitations of national resource potential and the narrowness of the domestic market, intensifies the potential for innovative industrialisation, and accelerates economic growth. The specifics of forming the modern concept of international trade development in the context of the European community and Ukraine are identified. The main principles of modern trade strategies are considered, their strengths and weaknesses are analysed, and directions for improvement are highlighted. The impact of trade strategies on the level of economic resilience is examined. It is substantiated that a high level of competition in the global market requires the adaptability of producers’ trade strategies and the formation of appropriate structures to coordinate the functioning of the external economic relations infrastructure complex. The main success factors of a trading strategy when entering new markets are highlighted, including preliminary research of local legislation requirements and market dynamics, the development of adaptive marketing strategies, and effective management of customs processes. Active participation in the international trade environment has proven to open additional opportunities for realising economic potential. At the same time, it is necessary to specify the development strategy to ensure long-term competitive advantages.

Real Customization or Just Marketing: Are Customized Versions of Generative AI Useful?

Abstract Background Large Language Models (LLMs), as in the case of OpenAITM ChatGPT-4TM Turbo, are revolutionizing several industries, including higher education. In this context, LLMs can be personalised through customization process to meet the student demands on every particular subject, like statistics. Recently, OpenAI launched the possibility of customizing their model with a natural language web interface, enabling the creation of customised GPT versions deliberately conditioned to meet the demands of a specific task. Methods This preliminary research aims to assess the potential of the customised GPTs. After developing a Business Statistics Virtual Professor (BSVP), tailored for students at the Universidad Pontificia Comillas, its behaviour was evaluated and compared with that of ChatGPT-4 Turbo. Firstly, each professor collected 15-30 genuine student questions from “Statistics and Probability” and “Business Statistics” courses across seven degrees, primarily from second-year courses. These questions, often ambiguous and imprecise, were posed to ChatGPT-4 Turbo and BSVP, with their initial responses recorded without follow-ups. In the third stage, professors blindly evaluated the responses on a 0-10 scale, considering quality, depth, and personalization. Finally, a statistical comparison of the systems’ performance was conducted. Results The results lead to several conclusions. Firstly, a substantial modification in the style of communication was observed. Following the instructions it was trained with, BSVP responded in a more relatable and friendly tone, even incorporating a few minor jokes. Secondly, when explicitly asked for something like, “I would like to practice a programming exercise similar to those in R practice 4,” BSVP could provide a far superior response. Lastly, regarding overall performance, quality, depth, and alignment with the specific content of the course, no statistically significant differences were observed in the responses between BSVP and ChatGPT-4 Turbo. Conclusions It appears that customised assistants trained with prompts present advantages as virtual aids for students, yet they do not constitute a substantial improvement over ChatGPT-4 Turbo.

Proposed Improvement of Monitoring and Controlling Process on Outstanding Customer (Study Case: XYZ Company in Jambi Area)

PT XYZ is a company that provides telecommunications services, and for corporate customers, thereis the BGES Unit. The payment process for corporate customers is managed by one of the BGESpillars, namely Collection Management. One of the tasks that Collection Management takes care ofis outstanding data. The achievement of outstanding billing is only 14.75% per year, which means apayment delay of IDR 7,000,458,871.00 in 2021. Due to excessive workload, billing managementdoes not supervise customers regarding billing so billing objectives are not achieved. In addition,billing information in the form of invoices is provided later than the 5th through 12th of each monthso that customers do not know for sure the total bill. This research aims to make improvements in themonitoring and controlling processes of customer outstanding billing. This research uses the businessprocess improvement method. This method also refers to a process that works but some activitiesneed improvement. It does not design new activities but improves existing activities. The tools ofbusiness process improvement that were used in this research are application technique wheels andstreamlining, which can be useful for simplifying a process and fixing a problem based on theoutstanding billing problems by PT XYZ. The result of this research is a new business process as isdashboard monitoring and controlling shown by a context diagram that contains incoming andoutgoing data on the billing information system and reminder notification will appear if the target isnot achieved. The new business process is expected to assist the BGES unit in monitoring andcontrolling customers every month, and the target that is expected to be achieved is an outstandingfigure of less than 1,000,000 by the end of the year.

Gcxgclab: An R Package for Two-Dimensional Gas Chromatography Preprocessing and Analysis.

Comprehensive two-dimensional gas chromatography (GC×GC) is an established technique capable of chromatographically separating thousands of analytes in complex matrices. When coupled with highly sensitive detectors such as a high-resolution mass spectrometer, these instruments produce large multidimensional data sets. A prevailing challenge for GC×GC users is efficient data handling and analysis. Although commercial software packages exist for GC×GC data analysis, these platforms are typically optimized for low-throughput qualitative data interpretation utilizing desktop computer systems. Additionally, commercial GC×GC data processing packages offer little flexibility to explore custom or novel data processing concepts. In this work, an open-source R package, called "gcxgclab", was developed as an alternative data processing package for GC×GC users and offers data preprocessing and analysis functions including baseline correction, smoothing, phase shift, peak detection, peak alignment, extracted ion chromatogram, mass spectra extraction, mass defect analysis, and targeted and nontargeted analysis. This package was designed to be customizable and allows for batch data processing on desktops or high-performance computing systems to increase the throughput. gcxgclab is available for free on the Comprehensive R Archive Network (CRAN) at https://cran.r-project.org/web/packages/gcxgclab/index.html.

Effect of concentric strategy on the performance of Commercial State Corporations in Kenya

The study sought to assess the effect of concentric strategy on the performance of Commercial State Corporations in Kenya. A cross-sectional correlational design was adopted as the study design. The target population was 1,026 senior managers of the Commercial State Corporations. The sample size was 99 senior managers in Commercial State Corporations. Primary data was gathered using a structured questionnaire. Collected data was analysed using descriptive data analysis techniques (Mean, Standard Deviation, Maximum and Minimum) and regression analysis. The results were presented using tables and figures. The study established a significant effect of concentric strategy on the financial, customers and internal business process performance of Commercial State Corporations in Kenya (β =0.829, p=0.000<0.05; β =0.648, p=0.000<0.05). Only learning, growth, and development as a measure of a Balanced Scorecard were not affected by the concentric strategy of the Commercial State Corporations. This study concludes that the concentric strategy significantly improved the financial, customer, and internal business process performance of Commercial State Corporations in Kenya, as supported by statistical evidence. However, it had no significant effect on learning, growth, and development performance. The study recommends that Commercial State Corporations in Kenya establish policies for strategic partnerships, develop performance metrics and Key Performance Indicators, and regularly monitor progress to effectively implement concentric strategies and enhance long-term performance.

Design and Realization of Plasma Treatment Auxiliary Device

Surface treatment, as a process to obtain specific components on the surface of a substrate, can significantly improve the surface properties, such as the plasma surface treatment process, which has the effect of cleaning the surface contaminants, improving the surface wettability and improving the adhesive strength, and has been widely used in automotive, aerospace, construction, intelligent manufacturing and other fields. Due to the complexity of the surface treatment process of the plasma process, specialized auxiliary devices are required in the treatment, however, the existing auxiliary devices are expensive and difficult to meet the demand for customized surface treatment process in the laboratory. To address the above problems, this paper designs a plasma processing auxiliary device with CS10-3 controller as the core, using the controller, stepper motor, driver and transfer switch as the control system, with the rack, fixed block, slide and adjustment block to realize plasma surface treatment operation, which can realize the purpose of quantifying process parameters (speed, distance, power, etc. ) on the basis of significantly reducing the development cost of the equipment. Practice and analysis results show that: the auxiliary device in less than 800 W power to achieve the processing speed in the range of 0~20cm/min range of adjustment, the processing distance in the range of 0~5cm adjustable, reduce labor intensity at the same time, improve the processing efficiency, processing quality and surface consistency.

Solar Boiler for Almond Processing

Since June of 2022, Sunvapor has been successfully operating the first solar boiler used for nut processing in the USA. Sunvapor engineered, managed the construction, and commissioned the turnkey solar steam generating facility for California Custom Processing (“CCP”), one of California’s leading almond processors located in Madera, California. CCP takes in raw almonds and performs a range of processes, including pasteurization, that require process steam. CCP was seeking to add steaming capacity to its boiler room, which has three 500 kWth (the subscript “th” means we are referring to thermal energy) gas boilers in order to raise its daytime production rate. The 2 MWth solar boiler developed by Sunvapor not only satisfied the need for additional daytime steaming capacity, but in clear sky conditions has supplied 100% of all the plant steam demand - with no greenhouse gas emissions. In this paper we present all phases of the life cycle of this first-of-a-kind solar boiler for nut processing; development, construction, commissioning, and operations.

The effect of digital transformation: Boosting productivity in the restaurant industry

This study investigated the effect of digital transformation on firm productivity in the restaurant industry. Based on the notion that digital transformation enables streamlined operations, this study hypothesized that digital transformation positively influences restaurant productivity in both front-of-house and back-of-house areas. Using text analysis, the annual reports of restaurant firms were analyzed to measure the level of digital transformation. The empirical findings revealed that digital transformation in both front-of-house and back-of-house areas has a positive effect on overall firm-level productivity in the restaurant industry. This suggests that using front-of-house technologies to assist customer processes and back-of-house technologies to streamline administrative and kitchen tasks can help overcome low productivity issues within restaurant firms. This study also demonstrated that digital transformation in front-of-house areas could maximize productivity for geographically diversified restaurant firms, while the positive effect of digital transformation on firm productivity was not significantly greater in quick-service restaurants than full-service restaurants.