Product Development Management Research Articles

Redux: Corporate Governance and Management of AI-Driven Product Development

Redux: Corporate Governance and Management of AI-Driven Product Development

Mycotoxin management: exploring natural solutions for mycotoxin prevention and detoxification in food and feed.

Mycotoxins, secondary metabolites produced by various fungi, pose a significant threat to food and feed safety worldwide due to their toxic effects on human and animal health. Traditional methods of mycotoxin management often involve chemical treatments, which may raise concerns about residual toxicity and environmental impact. In recent years, there has been growing interest in exploring natural alternatives for preventing mycotoxin contamination and detoxification. This review provides an overview of the current research on the use of natural products for mitigating mycotoxin risks in food and feed. It encompasses a wide range of natural sources, including plant-derived compounds, microbial agents, and enzymatic control. The mechanisms underlying the efficacy of these natural products in inhibiting mycotoxin synthesis, adsorbing mycotoxins, or enhancing detoxification processes are discussed. Challenges and future directions in the development and application of natural products for mycotoxin management are also addressed. Overall, this review highlights the promising role of natural products as sustainable and eco-friendly alternatives for combating mycotoxin contamination in the food and feed supply chain.

Peningkatan Ekonomi Desa melalui Pariwisata: Memahami Regulasi dan Manfaatnya

Aik Bukaq Village possesses significant tourism potential, but it has not been fully leveraged to stimulate the local economy. This community service program aims to enhance the understanding of the Aik Bukaq Village community regarding tourism regulations and the benefits that can be derived from developing this sector. A thorough understanding of regulations, such as licensing, environmental conservation, and natural resource management, is crucial for ensuring that tourism development proceeds sustainably and generates positive economic impacts. The program also involves training and mentoring the community to optimize existing tourism potential, including local product development, marketing strategies, and tourism management. The expected outcome includes increased community knowledge of tourism regulations and improved economic income through better-managed tourism. Consequently, this program is anticipated to contribute to strengthening the economy of Aik Bukaq Village and improving the overall well-being of the community

Exploring Technological Innovation as a Determinant of Entrepreneurial Activity and Performance

This systematic literature review delves into the intricacies of technological innovation and entrepreneurship and the management and strategies of new product development from an interdisciplinary perspective. After a rigorous selection process, 323 pivotal articles from 11 esteemed journals published between 2020 and 2023 underwent analysis, highlighting the contemporary research trajectories in these domains. This study highlights the emergence of artificial intelligence generated content technology since 2022 and its implications for innovation and product development among nascent entrepreneurs and established corporations. The insights garnered from this investigation enrich the existing scholarly discourse and offer relevant recommendations for subsequent inquiries in the dynamic realm of technological innovation and entrepreneurship.

The effects of AIoT-SC strategic alignment on SC intelligence and NPD performance

ABSTRACT The emergence of AIoT has profoundly influenced supply chain management (SCM) and new product development (NPD) performance. However, the AIoT and its strategic alignment with the supply chain (SC) strategy have not received equal attention in academia and industry. By incorporating concepts of strategic alignment, AIoT, and NPD from previous literature, this study proposes a new concept of AIoT-SC strategic alignment and examines its role in SC intelligence (SCI) and NPD performance. By using a partial least squares structural equation modelling (PLS-SEM) approach, the survey data results demonstrate that AIoT-SC strategic alignment in planning, making, delivery, sourcing, and return is positively related to SC intelligence regarding market intelligence quality (MIQ), SC partner intelligence quality (SCPIQ), and NPD performance. The study’s findings can guide managers in improving firms’ business functions through AIoT-SC strategic alignment. Furthermore, this research provides researchers with sound theoretical grounds/basis for further academic development of AIoT, SCM, and NPD.

Patent Keyword Analysis Using Bayesian Zero-Inflated Model and Text Mining

Patent keyword analysis is used to analyze the technology keywords extracted from collected patent documents for specific technological fields. Thus, various methods related to this type of analysis have been researched in the industrial engineering fields, such as technology management and new product development. To analyze the patent document data, we have to search for patents related to the target technology and preprocess them to construct the patent–keyword matrix for statistical and machine learning algorithms. In general, a patent–keyword matrix has an extreme zero-inflated problem. This is because each keyword occupies one column even if it is included in only one document among all patent documents. General zero-inflated models have a limit at which the performance of the model deteriorates when the proportion of zeros becomes extremely large. To solve this problem, we applied a Bayesian inference to a general zero-inflated model. In this paper, we propose a patent keyword analysis using a Bayesian zero-inflated model to overcome the extreme zero-inflated problem in the patent–keyword matrix. In our experiments, we collected practical patents related to digital therapeutics technology and used the patent–keyword matrix preprocessed from them. We compared the performance of our proposed method with other comparative methods. Finally, we showed the validity and improved performance of our patent keyword analysis. We expect that our research can contribute to solving the extreme zero-inflated problem that occurs not only in patent keyword analysis, but also in various text big data analyses.

Dancing with Change: A Conceptual Analysis of How Family Businesses Embrace Product Development Management

Understanding product development management is crucial, particularly within the context of family businesses, which are renowned for their resistance to change. Family firms demonstrate a paradox in innovation: while inclined toward calculated risk-taking, they often invest less in R&D compared with non-family businesses. This article explores the evolving landscape of product development management literature related to family businesses. It achieves this by meticulously examining pertinent scholarly works. Conducting a systematic review focused on family businesses’ product development management practices. This article poses the following fundamental question: What prior research has delved into the intersection of family businesses and product development management? The authors adopted the updated Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) reporting guidelines to ensure transparency and completeness in their systematic literature review. The research process hinges on accessing academic databases housing peer-reviewed journals, which initially yielded 955 articles. Through a series of discerning study selection phases, this number was pruned down to 68 articles eligible for further assessment. Ultimately, this study incorporates insights from 22 articles. Within the domain of product development management, the responsibility is typically divided among three key parties: marketing, design, and manufacturing. Notably, the findings underscore a predominant emphasis on the marketing perspective in the existing literature. Consequently, this article calls for future research endeavors to delve into the roles of design and manufacturing in the context of family business and product development management.

Analysis of the Relationship Between Engineering Project Management and Engineering Product Development: A Review

This study explores the two distinct parts of engineering management: engineering product management and engineering project management. A qualitative systematic review method was employed, using purposively sampled literature and a desk-based research approach. Using thematic analysis, the researchers produced significant data findings. The findings suggest that Engineering Project Management and Engineering Product Development play a vital role in achieving success in engineering projects. While they possess distinct principles, practices, and concepts, they share important management techniques in the business realm. The findings also indicate significant disparities in methods, utility and resource allocation, and quality assurance while highlighting the absence of administrative functions in Engineering Product Development compared to Engineering Project Management. Furthermore, the study notes that greater creativity and efficiency in both management practices are enabled by current technology and methodology. The study's limitations include an extensive use of literature review data and a focus on a broad target area. Consequently, this suggests a need for empirical data to enhance experience-based research and focus on a specific industry for more precise outcomes.

Large-scale Probabilistic Forecasting of Consumer Engagement of CPG Products using Heterogeneous Web Data

Consumer Packaged Goods (CPG) play a pivotal role in customer-centric industries. Understanding the distinctive features of such products and how customers engage with them is essential for CPG manufacturers to create customer-winning products. In this study, we explore an innovative data-centric approach to forecast customer engagement for CPG products by monitoring their digital evolution, particularly in the Snacks category in the USA. Traditional methods for consumer analysis such as surveys, focus groups are time consuming, costly and ineffective with limited scope. They also lack a forecasting component, making it difficult for CPG companies to make forward-looking decisions. However, with the emergence of big data, we can leverage user generated public data from social media, web search, e-commerce platforms to estimate consumer engagement and make long-term forecasts. To achieve this, we propose a systematic approach to accumulate and prepare large datasets from heterogeneous web sources for CPG products. We then use state-of-the-art deep learning based time series forecasting models to efficiently train and predict consumer engagement for the next 12 months, benchmarking their computational efficiency and forecasting performance. Our findings indicate that the DeepAR model outperforms all other models, with the lowest NRMSE (=0.378), RMSE (=14.848) MSE (=220.457), MASE (=0.871), and sMAPE (=0.306) values. Furthermore, we demonstrate methods for computing single forecasting points and prediction intervals using the forecasted sample distribution from the probabilistic models. The proposed approach will provide CPG businesses with valuable insights to make informed decisions about product development, marketing strategies, and supply chain management.

211 Analysis of microbial communities from a commercial-size swine manure pit and their association with production of volatile organic compounds

Abstract Global pollution and emission concerns have been linked to concentrated animal feeding operations (CAFOs). Indeed, the U.S Environmental Protection Agency (US EPA) warns that there is a significant danger to human health, soil, and water quality from CAFOs. Volatile organic compounds (VOCs), which are amongst air contaminants that pose a serious risk, are abundantly produced in swine manure pits. While VOC emissions from swine manure have been well studied, the microbial species responsible for their production remain mostly uncharacterized. Thus, a deeper comprehension of the microorganisms responsible for VOC production in swine manure pits may help in the development of management approaches that target the microbiome in these environments. In this context, this study aimed to identify the major bacterial species populating the manure pit of a commercial-size swine wean-to-finish research facility. Manure collected from two sampling locations at different time points were analyzed using the 16S rRNA gene through PCR-amplification of the V1-V3 regions from microbial genomic DNA, followed by Illumina MiSeq 2X300 sequencing. An analysis of the most highly represented microorganisms identified 24 bacterial Operational Taxonomic Units (OTUs), with only four showing a species-level nucleotide sequence identity to currently known or valid species. As these results indicated that the majority of bacterial species from this manure pit were unknown, a metagenomics approach was used to assemble partial to full length genomes from the two most abundant OTUs: Pit_9-00239 [5.09% - 19.44%; Clostridium saccharoperbutylacetonicum (96.60%)] and Pit_ 7-00035 [5.58% - 17.30%; Bacteroides eggerthii (87.66%)]. From genome assembly analysis, 979 contigs were generated for a combined length of 12,367,510 bp, which together included 21,776 coding sequences. Predicted metabolic functions from these contig sets included pathways involved in carbohydrate utilization (glycolysis), vitamin synthesis (riboflavin), and butyrate production (volatile fatty acids). Notably, an enzyme responsible for the production of indole, a common VOC produced from swine manure pits, was also identified. Together, the results from this analysis provide insights on metabolic capabilities of abundant bacterial species from manure pits. These can in turn be used for the future development of management strategies or products that can reduce VOC emissions that result from swine CAFO manure storage.

Comprehensive analysis of differences in the physiochemical composition of foremilk and hindmilk of grazing indigenous and crossbred dairy goats; implications for growth, milk production and industry.

This study was conducted on 90 grazing Hair, Alpine × Hair F1 (AHF1), and Saanen × Hair F1 (SHF1) crossbred goats in three farms located around the Taurus Mountains in Konya, Türkiye. The study investigated variation in milk production, physico-chemical traits of milk fractions (foremilk, hindmilk and total milk), and growth traits. Genotype, parity, offspring sex, birth type, and flock factors significantly influenced milk production and quality traits of milk fractions (P < 0.05 to P < 0.01). Does with male/single offspring produced less milk, but with higher nutrient density (P < 0.05). Hindmilk was 272%, 31% and 61% richer in fat, total solids and energy content than foremilk, respectively (P < 0.001). However, the protein, lactose and solids-non-fat content of hindmilk was on average 7% lower than that of foremilk (P < 0.001). Physico-chemical quality traits of foremilk, hindmilk and total milk had a strong negative correlation with daily milk yield (P < 0.05 to P < 0.001). Live weight and average daily gains (ADG) of kids were influenced by maternal parity, flock, offspring sex and birth type (P < 0.05). The overall Kleiber ratios (KR) from birth to 2 months, birth to 3 months, birth to 6 months and 3 to 6 months of age were 21.0 ± 0.22, 17.1 ± 0.11, 10.5 ± 0.06 and 8.5 ± 0.21g/kg of metabolic weight, respectively. It was concluded that these findings are critical for milk sampling protocols, offspring growth strategies, product development and precision livestock management.

An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method.

The objective of this research is to enhance the precision and efficiency of design concept assessments during the initial stages of new product creation. Design concept evaluation, which occurs at the end of the conceptual design phase, is a critical step in product development. The outcome of this evaluation significantly impacts the product's eventual success, as flawed design concepts are difficult to remedy in later stages. However, the evaluation of new product concepts is a procedure that encompasses elements of subjectivity and ambiguity. In order to deal with the problem, a novel decision-making method for choosing more logical new product concepts is introduced. Basically, the evaluation process is outlined in three main phases: the construction of evaluation index system for design concept alternatives, the calculation of weights for evaluation criteria and decision-makers, the selection of the best design concept alternatives. These stages are composed of a hybrid method based on kano model, multiplicative analytic hierarchy process (AHP) method, the entropy of IVPFS and improved grey relational projection (GRP) under interval-valued picture fuzzy set (IVPFS). The novel approach integrates the strength of interval-valued picture fuzzy number in handling vagueness, the advantage of multiplicative AHP and the merit of improved GRP method in modelling multi-criteria decision-making. In final, the effectiveness of the proposed model is validated through comparisons with other models. The potential applications of this study include but are not limited to product development, industrial design, and innovation management, providing decision-makers with a more accurate and comprehensive design concept evaluation tool.

Financial Innovation and Risk Management in Japan

Purpose: The aim of the study was to investigate the Financial Innovation and Risk Management. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Japan has seen a surge in financial innovation driven by fintech startups and digitalization efforts by traditional banks. However, this innovation comes with regulatory challenges and risks that must be managed. Regulatory frameworks are being updated to address new risks like cybersecurity threats. There's also a growing focus on corporate governance, risk culture, and sustainability integration. Unique Contribution to Theory, Practice and Policy: Option pricing theory, capital asset pricing model (CAPM) &amp; modern portfolio theory (MPT) may be used to anchor future studies on the financial innovation and risk management. Foster a culture of innovation within financial institutions by promoting collaboration between risk management professionals and product development teams. Establish regulatory sandboxes and innovation hubs to facilitate responsible experimentation with financial innovations while maintaining regulatory oversight.

Glycomacropeptide-Based Protein Substitutes for Children with Phenylketonuria in Italy: A Nutritional Comparison.

Advancements in food science technology have allowed the development of new products for the therapeutic management of inherited metabolic diseases such as phenylketonuria (PKU). Glycomacropeptide (GMP), a peptide derived from casein, is naturally low in phenylalanine (Phe) and, thus, adequate for protein substitutes (PSs) for the management of PKU in children. This review aims primarily to analyse the differences in the nutritional composition of GMP-based protein substitutes in different formulations (ready to drink, powdered, and bars), and secondarily to assess the quality of these products, comparing their nutritional composition with that of standard amino acid (L-AA) mixtures. Thirty-five GMP-based PSs produced by six different companies were included in this review: twenty-one powdered PSs, eight ready to drink, and six bars. The analysis revealed great heterogeneity not only among the different formulations (powdered, ready to drink, and bars) but also within the same group, in terms of energy content and nutritional composition. GMP-based PSs were shown to have higher contents of sugars and saturated fatty acids compared to L-AA PSs, especially in ready-to-drink formulations and bars. The latter also provided the highest amounts of energy among the GMP-based products. This finding may be related to a higher risk of developing overweight and obesity. The greater palatability of these GMP-based PSs, combined with improved nutritional quality, could not only improve adherence to diet therapy but also reduce the incidence of obesity-related comorbidities in PKU.

Retraction notice: Improving supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development

Retraction notice: Improving supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development

Pengembangan Kompetensi Pemasaran Digital bagi Wirausaha Kelompok Buruh Migran dan Keluarganya

The Indonesian Migrant Workers Union (SBMI) is an organization that represents the interests of Indonesian migrant workers. SBMI aims to advocate for the rights of migrant workers in Indonesia, protect them from exploitation, and improve their working conditions and welfare. Through the learning and development of accounting systems, promotion management, digital marketing, and innovative product development for digital-based economic groups, the Indonesian Migrant Workers Union (SBMI) is expected to provide a good opportunity to enhance personal and family economics. The Community Service Team (PkM) from Fisipol UKI collaborated with lecturers from Pasundan University to initiate the socialization and training for migrant worker unions in Sukabumi, West Java. The PkM team focused on training participants in utilizing E-Commerce applications and the Tik-Tok social media application to market their products. Participants also engaged in direct practice of marketing products on E-Commerce and Tik-Tok applications. After undergoing direct training, participants then completed a post-test, showing significant progress with 97% of participants understanding the concept of marketing using E-Commerce and Tik-Tok. At the conclusion of the socialization and training, the UKI PkM Team provided social media accounts and phone numbers to participants for easier communication when they have questions or need assistance with product marketing.

Pemanfaatan Data Transaksi Untuk Mewujudkan Kepuasan Pelanggan, Brand Awareness Dan Loyalitas Pelanggan

Business development and growth is the ultimate target of establishing a company. Apart from being sales data, transaction data can also be a company asset that can be used for operational management and marketing strategies. For operational purposes, transaction data that reflects customer capabilities and conditions can be used for inventory management purposes by predicting the need for raw materials to guarantee the availability of products or services within a certain period of time according to customer needs. Companies can also develop products according to customer needs and minimize unnecessary expenses resulting from excessive procurement of raw materials. For marketing purposes, transaction data can be a reference for determining demographic customer characteristics. Customer characteristics can be used as a tool to determine current customer segments and how to provide maximum service to customers. The overall condition of customers will be valuable information for companies in carrying out marketing strategies. This research will explain how to utilize sales transaction data during a certain period using qualitative methods to achieve customer satisfaction through good raw material inventory management and appropriate product and service development, creating brand awareness (customer awareness of the brand) through digital marketing (digital marketing) and customer loyalty through customer relationship management strategies in the Exist Autodetailing Yogyakarta vehicle body maintenance business.

The Effect of Macro-indicators, Profit Sharing on Mudharabah Deposits: Evidence from Indonesia

This research seeks to ascertain how interest rates, GDP, and profit-sharing relate to mudharabah savings in Islamic commercial banks. This study employs a quantitative research design and measures its findings using a panel data regression approach. Sharia commercial banks that registered with the Financial Services Authority (OJK) between 2016 and 2020 make up the research population. There were 180 observations in total in this study because the sample was chosen using the purposive sampling method and included a total of nine Sharia commercial banks. This study employed secondary data, specifically quarterly financial reports. The study's findings demonstrate that mudharabah deposits benefit from interest rates. Mudharabah benefits from the amount of profit sharing. deposits. Mudharabah deposits are positively impacted by the GDP. It is well recognized that the amount of mudharabah savings is influenced by GDP, a measure of people's income. The managerial ramifications of how GDP, profit-sharing, and interest rates affect mudharabah deposits can be very significant in a financial context. Interest rates, income uncertainty, and risk management minutes. Profit sharing, compliance with Sharia principles, and product development and portfolio management.

Young specialists on the labor market of information and computer technologies

Introduction. The situation on the labor market of IT specialists in Russia after 02.24.2022 was characterized by a sharp decrease in supply from employers and growth in the number of trainees in information and computer technology specialties. At the same time, salaries in the IT sector for most specialties decreased or slightly increased in comparison with inflation for the same period.Purpose setting. In the article on the basis of analytics of vacancies and salaries in the field of IT sphere the possibilities of occupation of positions in the field of software product development, their maintenance and IT processes management by graduates in the specialties of information and computer technologies are studied.Methodology and methods of the study. The median values of salaries in vacancies in various IT specialties are analyzed and compared with the current salaries of workers in the information sphere.Results. The tendencies of changes in salaries in IT sphere in comparison with employers» vacancies are revealed. The comparison of salaries in vacancies for graduates of universities and vocational training institutions and in offers for specialists with work experience is made.Conclusion. The most in-demand positions in the IT sphere for graduates of universities and vocational training institutions in the specialties of information and computer technologies have been identified.

Cultural and space-based factors influencing recreational conflicts in forests. The example of cyclists and other forest visitors in Freiburg (Germany)

More and more people are visiting forests for recreational and leisure purposes. Against this backdrop, conflicts have become rampant mainly due to limited spaces and conflicting recreational expectations. Recreational conflicts have the tendency to diminish the satisfaction that a visitor derives from leisure activities in the forest. This is a challenge not only to forest management but also to tourism product development. The study investigates recreational conflicts in forests by conducting a nationwide online survey. Conflicts were described based on how intensively they are discussed in public, how emotionally they are treated, and based on the willingness of the respondents in finding solutions to the conflicts. In order to investigate the factors that contribute to conflict genesis, the example of conflicts between cyclists and other forest visitors was researched by an on-site survey in Freiburg (Germany). The results show that cultural factors influence conflict genesis. For example, the activity style of recreationists and their mode of experience play an important role in conflict genesis. Both are cultural factors, when following a value-based understanding of culture. However, not are recreational conflicts judged as highly emotional; instead, they seem to be an expected part of forest visits. The study concludes with recommendations for tourism product development and forest management.