Product Knowledge Research Articles

Developing explicit and implicit L2 knowledge with Duolingo’s input-based features: Case studies of L2 Spanish learning

In this single-case study with a quasi-experimental design, we set out to examine the role of two input-based features of the language learning app Duolingo on learners’ development of implicit and explicit second language (L2) knowledge. We investigated the effect of Duolingo’s Stories feature and Podcast feature on two Spanish-L2 learners’ performance on a battery of implicit and explicit L2 knowledge tests. Once a week, over a four-week period using these input-based features, both participants repeatedly performed oral narrative tasks, timed and untimed grammaticality judgment tasks, and metalinguistic knowledge tests. The participant assigned to the Podcast condition showed meager gains in productive implicit knowledge (measured by oral narrative tasks) but decreased in receptive explicit knowledge (measured by untimed grammaticality judgment tasks). The participant assigned to the Stories condition showed a large increase in receptive implicit knowledge of Spanish (measured by timed grammaticality judgment tasks). Neither participant showed meaningful gains in the measure of productive explicit knowledge (measured by metalinguistic knowledge tasks). Although there was a slight increase in receptive explicit knowledge for the participant using Stories, the data from both participants discount the idea that app-based mobile-assisted language learning (MALL) prioritizes receptive explicit L2 knowledge, at least when considering these novel input-based features of Duolingo. These findings add nuance to previous research showing that the primary outcome of MALL app use is receptive explicit L2 knowledge.

The effect of biopolymer stabilisation on biostimulated or bioaugmented mine residue for potential technosol production

Mine waste can be transformed into technosol as an ecological strategy. Despite its importance to soil functions, biological activity is often overlooked. Biopolymers can serve as innovative tools for bioremediation, facilitating chemical reactions and creating networks to encapsulate contaminants. This work aims to assess the use of bioleached and stabilised residues from a tungsten mine for technosol production. The first objective was to evaluate mine tailings for their bioleaching potential by biostimulation or bioaugmentation with strain Diaphorobacter polyhydroxybutyrativorans B2A2W2. The second was to evaluate the effect of Portland cement or biopolymers such as Carboxymethyl Cellulose (CMC) or Xanthan Gum (XG) on the stabilisation of bioleached residues. The impact of biopolymers on residues’ characteristics, such as metal leaching, number of cultivable microorganisms, compression strength and ecotoxicity was evaluated using flow systems. Over time, bioleached metallic elements decreased, except for iron (Fe). Biostimulated and stabilised residues exhibited similar trends; both CMC and cement showed low leaching rates and viable microorganisms in the same order (106 CFU × ml−1). However, bioaugmented residue stabilised with XG showed 106 CFU × ml−1 viable microorganisms and increased 2.2-fold Fe leaching than BA_Control. CMC addition to bioaugmented residue reduced 5.9-fold Fe leaching and increased 100-fold viable microorganisms. By utilising both biological and engineering approaches to characterise the technosol, this study contributes to advancing knowledge of technosol production. The residues biostimulated and stabilised with CMC produced a material useful for bio-applications, with low toxicity and metal leaching, useful for bio-applications. XG was the best stabiliser for geotechnical engineering applications, with improved compression strength. In conclusion, the study demonstrates the usefulness of biopolymer treatment for residues and emphasises the importance of selecting the appropriate biopolymer for the intended function of technosols.

Investigation of heat generation and radiation effects on boundary layer flow of Prandtl liquid with Cattaneo–Christov double diffusion models

In this analysis, a bidirectional stretched sheet is used to produce a 3D\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal{D}$$\\end{document} flow of Prandtl liquid with improve mass diffusion and heat conduction models. This study advances knowledge of magnetohydrodynamics, radiation impacts, and heat production in fluid dynamics and transport processes. The Prandtl fluid model is critical for modeling non-Newtonian fluids, capturing its viscoelastic features, and allowing for precise simulation in industrial applications. It gives a mathematical foundation for analyzing complex fluid behaviors, which is necessary for optimizing operations utilizing such fluids. It uses the boundary layer method to simplify the fundamental equations and Cattaneo–Christov double diffusion models. The optimal homotopy analysis method is used to solve nonlinear ODEs caused by non-dimensional similarity variables. This investigation undertakes the calculation of drag coefficient for surfaces mass transfer rates and heat transfer rates proximate to the solid boundary. Furthermore, it conducts a comprehensive analysis of the influences exerted by various parameters on concentration and temperature profiles employing graphical representations for a rigorous examination. The Prandtl fluid model describes the viscoelastic characteristics of non-Newtonian fluids through constitutive equations, dimensional evaluation, and numerical simulations, which are frequently validated by experiments. The results show that changes in thermal and concentration relaxation parameters are accompanied by a decline in temperature. Temperature field rises as the thermal radiation parameter and heat generation increases. The work's novelty consists in its advanced modeling of Prandtl non-Newtonian fluids via Cattaneo–Christov double diffusion models, which incorporate magnetohydrodynamics and radiation effects and use optimal homotopy analysis for accurate parametric analyses of heat and mass transfer.

Efficient Production of Bacterial Cellulose Using Komagataeibacter sucrofermentans on Sustainable FeedstocksDevelopment.

The production of bacterial cellulose (BC) has indeed garnered global attention due to its versatile properties and applications. Despite potential benefits, the challenges like low productivity, high fermentation costs, and expensive culture media hinder its industrialization. Utilizing low-cost substrates, especially waste streams, can help address the challenges. In this study, waste feedstocks such as restaurant leftovers, oranges, and grapefruit from canteens and supermarkets were valorized for BC production by Komagataeibacter sucrofermentans. Orange juice is a fascinating substrate with a highest concentration of 20.6 g/L and productivity of 2.05 g/L/d. Using HS medium with supplementary ions, organic acids, ethanol, and various carbon sources is a strategic approach for enhancing BC production. The study reveals that the addition of organic acids or ethanol moderately increased BC production, while ions inhibit BC synthesis, highlighting the complex interplay between various cultivation medium components. Additionally, fermentation with K. sucrofermentans using single and mixed carbon sources was conducted to elucidate the potential metabolic mechanism of BC production. Through alkaline treatment and drying in a 30°C incubator, we produced the highest quality BC with 92.09% crystallinity. Overall, the study enhances BC production knowledge and provides green and sustainable strategies for fermentative BC production.

Peruvian Migration and Community Organisation in Argentina: Transnational and Intergenerational Knowledge in the Social Production of Habitat

This paper analyses the transnational and intergenerational knowledge that Peruvian migrant women bring to the social production of habitat in Argentinean cities. In a context of increasing difficulties for Peruvian families to access urban space, this study highlights migrant women's capacity for agency through community organisation. Based on a combination of qualitative and quantitative data collected from research carried out in a neighbourhood built by migrants in the city of Cordoba, the article shows that urban experiences of Peruvian women reveal not only spatial segregation, but also a subaltern urbanism that attempts to ensure the sustainability of life.

The Shift Towards Plant-Based Lifestyles: Factors Driving Young Consumers’ Decisions to Choose Plant-Based Food Products

The shift in consumer dietary patterns from meat-based to plant-based food products has become a prominent trend worldwide. This shift is driven by various factors, including concerns about personal health and environmental awareness. Despite the global growth of the plant-based food industry, developing nations tend to be slow with adopting non-meat-based diets. This is mainly due to high levels of food insecurity and meat being the main source of protein, especially in countries like South Africa where food consumption is needs-based, and consumers are unaware of the environmental footprint of meat production. This paper is part of a two-phase study and reports on the quantitative results, which were obtained during the second phase. The main aim of this study was to investigate the factors that influence consumers’ decisions to choose plant-based food products. The factors that were selected were informed by the thematic results from phase 1, which involved focus groups that explored consumers’ opinions and behaviours towards plant-based lifestyles. By means of survey distribution, 426 online questionnaires were distributed among young consumers in South Africa. A conceptual model with six hypotheses was tested and the data were analysed using SmartPLS 4.1.0.8. The findings indicated the product taste and product knowledge are the most important factors that drive young consumers’ decisions to choose plant-based food products. The study further found that product quality, affordability, social influence, and product packaging play a role but to a lesser degree. Food marketers can utilise these findings and implement marketing strategies that can assist with persuading consumers to choose plant-based food products and adopt a healthier, more sustainable lifestyle.

Building A Sharia Entrepreneurial Ecosystem Through Halal Value Chain for MSMEs

Independent entrepreneurs promise certain material benefits if the entrepreneur succeeds in running the business. Sharia business and economic patterns are still a big challenge and opportunity to be implemented in Indonesia. Creating a sharia-based entrepreneurial ecosystem is very important for MSME players to be aware of so that they can optimize the business they run according to Islamic law and God's provisions. This halal value chain is a sharia economic sector that plays an important role in economic progress in Indonesia. However, for Indonesia, halal is an economic potential that has not been exploited optimally. One thing that supports building a sharia entrepreneurial ecosystem and is able to increase sales value is by carrying out halal certification on the products it makes. The Community-Based Empowerment Partner in this activity is UMKM Wijayakusuma Sejati assisted by Jatisawit Village Bumiayu Brebes. The aim of this service is (1) to provide partner knowledge in creating a sharia-based entrepreneurial ecosystem and mentality, (2) to provide production and marketing knowledge, (3) to provide business capital management competence, (4) to provide knowledge about production and marketing, management competence business capital, bookkeeping and preparation of financial reports, and (5) facilitating halal certification for Wijayakusuma Sejati MSME products. This training is needed for traders to create a sharia entrepreneurial mentality and halal certification based on the halal value chain so they are able to manage their business well, create a brand image for their products, and increase sales significantly.

Examining Mentor Perception of Competence in an Academic Peer Mentoring Program.

Peer mentoring programs can be a valuable support mechanism for new faculty transitioning from clinical practice to academia. Mentors play a crucial role in this process. This study described mentors' perceived competence in 21 areas of the mentor role and their experiences as mentors following the first year of a structured peer mentoring program. This study employed a mixed-methods approach, using the Mentoring Competency Assessment-21 alongside open-ended questions. These instruments were electronically administered to a convenience sample consisting of eight mentors with varying experience ranging from 2 to 16 years in the nursing program at a mid-sized university, following an intentional first-year peer mentoring program. The highest-performing items were "Establishing a relationship based on trust" (M 6.50, SD 0.53), "Considering how personal and professional differences may impact expectations" (M 6.25, 0.83), and "Acknowledging your mentee's professional contributions" (M 6.13, SD 0.99). The lowest scores were focused on estimating scientific knowledge and scholarly productivity. Responses to the Mentoring Competency Assessment-21 indicated that mentors felt at least moderately competent in the various aspects of the faculty mentor role. Mentors valued the professional development and supporting materials provided by the development team. An identified area for improvement was the support provided to assist the mentees' scholarly development. This study underscores the importance of supportive materials, such as handbooks and regular communication, in fostering mentor competence and facilitating successful nursing faculty peer mentoring programs. Future research implications include assessment of mentor competence by mentees and long-term follow-up of program outcomes.

Knowledge Management in Local Governments: A Boost or a Brake on Productivity?

This study analyzes the impact of knowledge management on the productivity of a local government, to determine whether it acts as a boost or a brake on institutional performance. Using a quantitative approach, a non-experimental design and an explanatory level, 119 municipal workers were evaluated using validated and reliable instruments. The dimensions of knowledge detection, capture and development were examined, applying Spearman correlation and ordinal regression. The results revealed a positive and significant correlation between knowledge management and productivity (Rho = 0.810, p = 0.000), indicating that effective management is associated with higher levels of productivity. The regression model showed that knowledge management explains 66.2% of the variability in productivity, reflecting an important influence. However, areas for improvement were identified, especially in knowledge detection, where significant levels of inefficiency and regularity were perceived. It was concluded that knowledge management in the local government studied acts both as a boost and a brake on productivity. It is recommended to implement strategies that strengthen detection, capture and knowledge development practices, in order to optimize operational efficiency and offer higher quality services to the population.

The Impact of Tea Farmers’ Cognition on Green Production Behavior in Jingmai Mountain: Chain Mediation by Social and Personal Norms and the Moderating Role of Government Regulation

China’s agricultural sector faces significant challenges, including fragmented farming practices, limited farmer knowledge of sustainable production, and outdated pest control technologies. These issues result in improper fertilization, pesticide application, and disposal of agricultural inputs, contributing to agricultural non-point source pollution and hindering the transition to a green economy. Thus, promoting green production behavior among farmers is critical for achieving carbon peaking, carbon neutrality, and harmonious coexistence between humans and nature. However, the existing literature on this topic is still relatively scarce. This study aims to investigate the impact of farmers’ cognition on their green production behavior (GPB). Considering the role of policy, this study also examines the moderating effect of government regulation in this relationship. An analysis of 306 survey responses from tea farmers in Jingmai Mountain, Pu’er City, Yunnan Province, reveals that farmers’ cognition exerts a significant and positive impact on GPB. Social norms and personal norms serve as chain mediators in the relationship between farmers’ cognition and GPB. Moreover, government regulation moderates the influence of farmers’ cognition on social norms, further amplifying its impact on them. This study advances the theoretical understanding of farmers’ behavior and offers practical insights for fostering the sustainable development of the tea industry.

A study of Rural women’s financial literacy and awareness level towards financial products and services in Kerala perspective with Special reference to Malappuram District

Financial literacy is crucial in empowering individuals, particularly rural women, to make informed financial decisions and achieve economic well-being. This study explores the financial literacy and awareness levels of rural women in the Malappuram district, focusing on the relationship between socio-demographic factors and financial literacy. The research, conducted through a cross-sectional descriptive study among 100 women, reveals that most respondents are young, educated, and possess a moderate level of awareness and knowledge of financial tasks and products. The study highlights significant barriers to financial literacy, including social and cultural issues, lack of education, income constraints, and gender discrimination. Despite these challenges, the penetration of financial products like bank accounts, debit cards, and mobile banking is relatively high among the participants. The study finds a significant relationship between age and financial literacy but no significant correlation between education or income levels and financial literacy awareness. The findings underscore the need for targeted financial education programs to enhance financial literacy among rural women, addressing identified barriers and focusing on age-specific strategies to improve their economic participation and contribute to national economic development.

Understanding the Intention Behind Muslim Consumers’ Decision to Purchase Green Products

The increasing global emphasis on sustainability has significantly influenced consumer behaviour towards green products. However, the specific factors driving green purchase intention (GPI) remain insufficiently explored in the literature. This study examines the determinants of GPI among Muslim consumers in Banjarmasin, focusing on three critical variables: green product knowledge (GPK), plastic ban policy (PBP), and religiosity. A quantitative research approach was utilized, involving data collection through a structured questionnaire administered to 465 respondents aged 18 and older with prior experience purchasing green products. The study employed PLS-SEM with SmartPLS version 3 for the analysis. The results is insignificantly influence GPK on GPI statistically. In a different way, PBP shows a significant effect on GPI, highlighting the effectiveness of regulatory measures to encourage sustainable behaviour. Additionally, religiosity shows a significant positive influence on GPI, indicating that moral and ethical considerations rooted in religious beliefs are crucial in shaping consumer attitudes towards green purchasing. This research enriches the literature by merging regulatory, cognitive, and cultural viewpoints to deepen understanding of green consumer behaviour. It also provides actionable insights for policymakers and marketers to encourage sustainable consumption practices.

The Impact of Education on Consumers’ Eco-Friendly Shopping Habits towards Sustainable Purchases: Evidence from Indonesia and Taiwan

The use of disposable products has increased significantly in response to the COVID-19 pandemic. However, this surge has also exacerbated the problem of waste pollution and climate change. Although there has been some progress recently, there is still a great deal of work to be carried out to promote eco-friendly shopping habits to combat environmental pollution. Education plays a crucial role in encouraging consumers to adopt long-term environmentally friendly behaviors as part of their shopping habits. This study aims to investigate the impact of education on non-disposable product knowledge and eco-awareness, which in turn influences consumer attitudes and shapes eco-friendly concepts into their habits. In our study, we also explore the role of self-identity as a moderator in the correlation between pro-environmental attitudes and eco-friendly shopping habits. Furthermore, our research involves gathering data from participants in Taiwan and Indonesia, considering their diverse cultural backgrounds and economic statuses in the Asian region. With a sample size of 332 individuals (152 from Indonesia and 180 from Taiwan), we utilized quantitative methodology and electronic questionnaires to collect data from October to November 2023. By employing CB-structural equation modeling with SmartPLS 4, we have been able to discern the similarities and differences between Taiwanese and Indonesian consumers within the context of our research framework. Consequently, sustainable purchases promote awareness and encourage consumers to adopt more environmentally friendly habits, contributing to a broader cultural shift towards sustainability.

The production and utility of evidence synthesis during the COVID-19 pandemic in Canada: perspectives of evidence synthesis producers

Background: COVID-19 accentuated an evergreen dilemma in evidence-informed policy making: the imperative to synthesise the best available evidence with limited time to produce high quality synthesis. The pandemic prompted the adaptation of evidence synthesis practices to match the urgency of the crisis, and heightened demand by policy makers, while maintaining a focus on quality. This study documents the response to these challenges from the perspectives of those who produced evidence syntheses in Canada. Methods: A qualitative phenomenological study was conducted between October 2022 and January 2023. Data collection included interviews with 22 participants within 19 organisations across seven provinces. A thematic analysis was performed and reported narratively. Results: Evidence synthesis producers in Canada adapted in response to the demands of different types of requests during the pandemic. Participants described several key challenges in responding to end-users, in which a lack of knowledge of evidence synthesis processes and products prompted difficult questions and unrealistic expectations. They responded to the needs of evidence synthesis requestors by creating custom syntheses, utilising rapid review methodologies, emphasising limitations and incorporating recommendations into syntheses. Discussion and conclusion: The evidence synthesis field was able to adapt to pandemic challenges in valuable ways. Still, this experience accentuates disconnects between producers and users, including differing views on the purpose, methods, limitations and implementation of synthesis findings.

Technological choices and practices of Early Bronze Age pottery production in the Central Plains: Focusing on the sites of Xinzhai and Huadizui

Aspects of the Early Bronze Age (ca. 2050–1640 BCE) pottery production technology and knowledge transfer in the Central Plains of China (i.e., the Zhengzhou-Luoyang area) were studied. To this aim, 120 domestic pottery samples and ten geological samples from two central sites at Xinzhai and Huadizui were studied macroscopically and analysed with X-ray fluorescence spectrometry. Based on a discussion of macroscopical evidence and chemical composition, the results tentatively indicate the technological knowledge transfer between the potters in Xinzhai and Huadizui sites despite being located about 80 km apart. Pottery of the same category was manufactured with similar selection and preparation strategies of ceramic raw materials, decorated with similar patterns, and adopted similar forming techniques. More specifically, the cookware from the Xinzhai and Huadizui sites was hand-made and Ca-poor, while the storage- and drinking wares were wheel-made and Ca-rich. These results likely indicate the existence of one overarching community of practice, potters located at Xinzhai and Huadizui, who shared strategies for raw materials selection, paste preparation, and finishing.

Optimization and modelling of bioethanol production by the fermentation of CCN‐51 cocoa mucilage using the sequential simplex method and the modified Gompertz model

AbstractThis work deals with the optimization of bioethanol production through a fermentation process of CCN‐51 cocoa mucilage, based on increased concentrations of the Saccharomyces cerevisiae yeast. Cocoa mucilage, considered biomass waste, was selected for its high productivity and the large volumes generated in the cocoa industrial chain in Ecuador. The optimization of the fermentation process was performed using the sequential simplex method with two variables, and the results were experimentally confirmed by quantifying bioethanol through the microdiffusion method. The best operational conditions corresponded to a temperature of 35°C and a pH of 4. Regarding the concentration of yeast, it was found that the optimal value was 8 g/L, since lower concentrations led to low productivities, while higher concentrations resulted in inadequate functioning of the bioreactor. The best results reached a productivity of 1.35 ± 0.04 g/L · h and a maximum bioethanol concentration of 28.3 ± 0.8 g/L for a processing time of 21 h. The production of bioethanol was modelled using the modified Gompertz equation and simulated in MATLAB®, yielding a bioethanol production rate of 2.42 g/L · h with a correlation coefficient (R2) of 0.95. These results contribute to the knowledge of bioethanol production using cocoa mucilage and seek to add a positive value to this residue, whose management and final disposition have both undesirable environmental and economic effects.

The Influence of Consumer Product Knowledge, Trust, and Risk Perception on Purchase Intention Among Shopee Consumers: The Role of Reviews as a Moderating Variable

The development of e-commerce has changed consumer behavior. With the presence of e-commerce, many habits have changed, starting from previous shopping habits in offline stores, now switching to shopping at online stores using shopping sites and applications such as Shopee, because it makes it easier for consumers to make buying and selling transactions online. However, Shopee, which is a consumer favorite, has several problems, including some consumers who buy products at Shopee feeling disappointed because the goods purchased do not match expectations, thus affecting consumer buying intentions. Several previous studies have shown that there is a relationship between consumer trust and purchasing decisions. This study uses descriptive quantitative research using multiple linear regression analysis. The subjects of this research are Shopee consumers. The variables used in this study are consumer product knowledge, trust, risk perception and reviews as moderating variables. The results of the research show that consumer product knowledge has a positive but not significant effect on Shopee consumers’ purchasing decisions. Meanwhile, the variables of trust, risk perception and reviews have a significant positive effect on Shopee consumers’ purchase intentions. Then the review variable is not able to moderate the relationship between consumer product knowledge and purchase intention. However, reviews are able to moderate the relationship between trust, risk perception and purchase intention.

Identifi cation of Adhesives for Repairing Ancient Ceramics: The Case of the Neolithic and Chalcolithic of Far Northeast Europe

This study focuses on the composition of the adhesives used to repair clay vessels, and on the technique of their preparation in the Late Neolithic and Chalcolithic (late 4th to early 3rd millennia BC) sites of Far Northeast Europe (the Republic of Komi and the Nenets Autonomous Okrug). Remains of adhesives were detected on 70 of 171 repaired pots. To date, five samples of ceramics from dwellings of the Chuzhyael culture have been analyzed. Gas chromatography-mass spectrometry revealed no markers of coniferous trees or bitumen; but did reveal markers of birch, suggesting that fractures and cracks on broken pots were plastered with birch tar. The composition of organic compounds in samples indicates the use of two vessels in the technological process: in one of them, birch bark was subjected to pyrolysis, while the other was a receptacle for tar. This comparatively complex technology reveals one more specialization in the domestic manufacture of the taiga hunter-gatherers, including the use of special furnaces. Analytic procedures employed by us open up new prospects for the study of the material culture of Far Northeast Europe, extend our knowledge of domestic manufacture, and offer new material for AMS dating.

Consumers’ perceptions of per- and polyfluoroalkyl substances and bio-based treatments on disposable dinnerware

Per- and polyfluoroalkyl substances (PFAS) are forever chemicals that have been used for their heat, grease, and water-resistant properties on disposable dinnerware. However, PFAS pose risks to human health and the environment and alternative treatments are currently being implemented in the disposable dinnerware industry, including bio- or plant-based treatments. To date, consumer perceptions of the practical usage and environment-related attributes of PFAS versus plant-based alternative treatments have not been addressed. An online survey elicited 1304 U S. consumers' perceptions of the attributes from each treatment and factors impacting those perceptions. On average, participants purchased disposable plates 13 times per year with 50 % ± 50 purchasing them for everyday use. Approximately 20 % ± 40 of the sample had heard of PFAS prior to the study while 62 % ± 49 had heard of bio-based products. In general, PFAS treatments were perceived as performing slightly better in the practical usage attributes (i.e., grease resistant, water resistant, durable); however, the plant-based alternative treatments were perceived as more environmentally friendly (i.e., better for the environment, better for personal health, recyclable, compostable). Older participants viewing plant-based treatments as better at grease resistance, water resistance, durability, and microwavable relative to younger participants. Conversely, people with higher education levels viewed plant-based treatments as less resistant to grease but more durable. Interestingly, participants’ perceptions and existing knowledge of PFAS and bio-based products influenced their perceptions of plant-based treatments being more environmentally friendly. Results provide insights for industry stakeholders as they move forward in implementing PFAS alternative treatments.

A Universal Framework for Skill-Based Cyber-Physical Production Systems

In the vision of smart manufacturing and Industry 4.0, it is vital to automate production processes. There is a significant gap in current practices, where the derivation of production processes from product data still heavily relies on human expertise, leading to inefficiencies and a shortage of skilled labor. This paper proposes a universal framework for skill-based cyber–physical production systems (CPPS) that formalizes production knowledge into machine-processable formats. Key contributions include a novel conceptual model for skill-based production processes and an automated method to derive production plans from high-level CPPS skills for production planning and execution. This framework aims to enhance smart manufacturing by enabling more efficient, transparent, and automated production planning, thereby addressing the critical gap in current manufacturing practices. The framework’s benefits include making production processes explainable, optimizing multi-criteria systems, and eliminating human biases in process selection. A case study illustrates the framework’s application, demonstrating its current capabilities and potential for modern manufacturing.