New Product Development Research Articles

Roles of Natural Language Processing in New Product Development Process: Literature Review

Customer satisfaction is a key success factor for a business. To provide products that meet customer satisfaction, companies must be able to understand the customers’ needs and desires. Technological developments nowadays have helped companies to understand customer desires more easily so that companies can provide products that satisfy their customer. Natural Language Processing (NLP) is a technology that allows computers to process human language. NLP is also commonly referred as text-mining. NLP has been utilized in the New Product Development (NPD) process. We compiled studies related to NLP and NPD and conducted a literature review to map out how far NLP has been utilized in NPD processes. We found that in this era of Big Data, current NLP studies most often have the goal to process text data from online reviews on e-commerce and from social media. By using NLP, large amounts of data can produce valuable Voice of Customer (VOC) information for product development. We also found that NLP technology also has been utilized in other NPD processes that do not involve VOC, such as the design stage, document processing, and extraction of requirements in the NPD process.

Modeling and optimization of microwave-assisted extraction of total phenolics content from mango (Mangifera indica) peel using response surface methodology (RSM) and artificial neural networks (ANN)

Mango (Mangifera indica) is a fruit highly consumed for its flavor and nutrient content. The mango peel is rich in compounds with biological functionality, such as antioxidant activity among others. The influence of microwave-assisted extraction variables on total phenol compounds (TPC) and antioxidant activity (TEAC) of natural extracts obtained from mango peel var. Tommy and Sugar were studied using a response surface methodology (RSM) and Artificial Neural Networks (ANN). TPC of mango peel extract var. Tommy was significantly influenced by time extraction (X1), solvent/plant ratio (X2) and concentration of ethanol (X3) and while mango peel extract var. Sugar was influenced by X2. TEAC by ABTS was significantly influenced by X3. Maximum of TPC (121.3 mg GAE / g of extract) and TEAC (1185.9 μmol Trolox/g extract) for mango peel extract var. Tommy were obtained at X1=23.9s, X2=12.6mL/gand X3=63.2%, and for mango peel extract var. Sugar, the maximum content of TPC (224.86 mg GAE/g extract) and TEAC (2117.7 μmol Trolox/g extract) were obtained at X1=40s, X2=10mL/g and X3=74.9%. The ANN model presented a higher predictive capacity than the RSM (RANN2>RRSM2,RMSEANN<RMSERSMandAADANN<AADRSM). These extracts can be used for the development of new products.

Developing an action-oriented performance framework for sustainability measurement in the new product development

PurposeThe integration of sustainability, performance measurement and new product development (NPD) is key for aligning environmental and social objectives with business strategies. While previous research has initiated proposals for integrating sustainability into NPD or incorporating sustainability into corporate measurement systems, there is a notable deficiency in studies that comprehensively integrate these three perspectives. In this sense, this study proposes a performance framework (PF) to integrate sustainability performance indicators (PIs) into the measurement system considering the company’s NPD phases.Design/methodology/approachThe PF was developed through a literature review and action research (AR). This resulting PF was positively evaluated by the practitioners in the company.FindingsFirst, the review enabled the synthesis of an initial conceptual PF with 188 sustainability PIs and a five-step procedure. Then, the empirical results of the AR led to a new PF that presents the systematisation of the PIs database and a practice-based seven-stage approach.Research limitations/implicationsThis action-oriented research limits the extent to which this study’s findings can be generalised. Future research should apply the PF in different research designs to produce managerially relevant knowledge.Practical implicationsThis PF may provide managers with actionable knowledge that best supports the measurement system integration with sustainability PIs considering the NPD phases.Originality/valueIntegrating sustainability, performance measurement and the NPD has been recognised as critical for supporting decision-making concerning the impact of processes and products. Compared with previous frameworks, the proposed PF extends the existing literature by introducing a systematised PIs database and a novel procedure for integrating sustainability measurement throughout the NDP.

Alternative flours from pulp melons (Cucumis melo L.): Seasonality influence on physical, chemical, technological parameters, and utilization in bakery product

Fresh vegetables have high water content and low acidity, so drying can extend shelf life, allowing the obtaining of alternative flours for the development of new products. The study aimed to investigate the influence of the melon harvest and off-season on the chemical composition of melon (Cantaloupe, Charentais e Honey Dew) flours and the potential application in products. The flours were evaluated for granulometry, morphology, centesimal composition, lipid and mineral content, total phenolic compound (TPC), antioxidant activity, and technological properties. Cakes containing melon flour were produced to replace wheat flour (0, 25, and 50 %) and evaluated for proximate composition, microbiology, and sensory parameters. Flours were classified as fine-grained (MESH >16), except Charentais off-season (medium - MESH 8–16, and fine-grained - MESH >16), and all presented a rough surface and minimal cell wall ruptures. The harvest homogeneously influenced the humidity, as all the off-season flours showed higher levels [17–22 %] (p < 0.05) due to weather conditions. For TPC, Cantaloupe melon flours from the harvest (CFH) [208 mg/100 g] and off-season [877 mg/100 g] stood out (p < 0.05), and the latter showed greater antioxidant potential [328 μmol TE/g]. Palmitic, linoleic, and linolenic acid stood out in all flours, and potassium for minerals (63–78 %) in the harvest and off-season. The harvest and off-season specifically influenced the flour of each variety in swelling power, water solubility, oil absorption, and emulsifying capacity. For cakes with CFH, no thermotolerant coliforms and Escherichia coli were detected, and the mesophilic count was <1.0 CFU/g. The ash, protein, lipid, and fiber contents increased proportionally to melon flour addition (p < 0.05). Sensory acceptance was high for cakes containing 25 and 50 % of CFH [82.78 % and 82.53 %], and most consumers would likely buy the products (4.04 and 3.99) (p < 0.05). The study contributed to knowledge about the seasonality effect and demonstrated the potential use of melon flour in developing new products.

Analysis of innovative financial instruments in modern Ukrainian scientific literature

Innovative financial instruments act as a driving force for economic development. In the modern economy, the role of innovative financial instruments has grown significantly. With the application of financial innovations, it is almost possible to obtain high profits, minimize costs, develop new markets, and create competitive products with a high degree of novelty. So, in the market economy, innovative financial instruments are an effective means of competitive struggle, as they lead to the creation of new needs, a reduction in the cost of products, an inflow of investments, and an increase in the image of the manufacturer of new products, to the attraction of new customers. This article aims to define the essence of innovative financial instruments, drawing on an analysis of existing definitions of the concept of 'financial innovation' in contemporary Ukrainian scientific literature. Building on the reviewed material, this article presents an analysis of the types of innovative financial instruments put forth by Ukrainian scientists. L. B. Kolinets offers a classification that includes innovations related to equity instruments and debt instruments. Another group of scientists, S. V. Radinsky and O. D. Dyachun, identify financing instruments, hedging instruments, and special financial services as innovative financial instruments. The article also references other types of innovative financial instruments explored in the works of contemporary Ukrainian scientists. We analyzed statistical data on the development of derivatives and fintech and implemented business projects in Ukraine with the help of the «Big Idea». The expediency of using innovative financial instruments has been determined. The main advantages of using innovative financial instruments are that they accelerate business development, expand access to capital, and support the development of new products and services. In conclusion, ways were suggested to contribute to developing innovative financial instruments. Keywords: financial instruments, financial innovations, derivatives, crowdfunding platforms, cryptocurrency, blockchain technologies, fintech, payment system.

Exploring the cessation efficacy and harm reduction potential of heated tobacco and nicotine pouch products in smokers and smokeless tobacco users: study protocol of a 6-month randomized controlled switching trial

Background: Despite decades of research on pharmacological and behavioural smoking cessation treatments, current quit aids are of limited success. The introduction of new, combustion-free nicotine and tobacco products extended the tool kit for people who smoke to switch away from their risky habit. We performed a systematic review including 120 studies resulting in several recommendations for a robust study design to determine the cessation efficacy of a new nicotine or tobacco product. Consequently, we prepared this study protocol to assess the cessation efficacy of heated tobacco products (HTPs) and nicotine pouches (NPs). Methods: 250 subjects (125 exclusive smokers and 125 exclusive smokeless tobacco (SLT) users) will be recruited and offered a choice of HTPs in case of smokers and a choice of NPs in case of SLT users in order to switch. Subjects will undergo four visits (baseline, 1, 3, and 6 months) to collect biospecimens and for physical examinations. Use behaviour and questionnaires will be monitored on a regular basis by means of a smartphone-app. We describe a sensitive and specific compliance monitoring using suitable biomarkers of exposure. The sample size of 250 subjects and duration of 6 months will allow the quit rates to be assessed with sufficient statistical power. Finally, the choice between different products shall reflect the individuals’ preferences. Conclusions: This protocol can be applied generically, providing a robust determination of a products’ cessation efficacy. Trial Registration: The trial will be registered in the International Clinical Trials Registry Platform.

Analyzing the effects of aroma and texture interactions on oral processing behavior and dynamic sensory perception: A case study on cold-set emulsion-filled gels containing limonene and menthol

This study explored texture and aroma (limonene and menthol) interactions in cold-set emulsion-filled gel (EFG), focusing on mastication behavior, bolus properties, and dynamic sensory perceptions. First, the effects of various polysaccharides on the rheological, textural, and water-holding characteristics of EFGs based on whey protein isolate were examined. Seven EFGs were chosen from 23 samples based on data clustering. The type of EFG structure had a significant effect on chew duration, number of chews, saliva content, bolus particle size, and textural properties, dynamic sensory perception of texture attributes based on temporal-dominance of sensations (TDS), and aroma intensity perceptions based on time-intensity (TI) tests. The presence of aroma compounds did not clearly impact mastication parameters and bolus particle size, but slightly increased saliva content and decreased the hardness and adhesiveness of boluses. Hence, the effect of limonene was more evident than that of menthol. The oil released from the matrix of EFGs during mastication was low and unaffected by the type of EFG structure or aroma compounds. The TDS and TI results showed that texture attributes and aroma intensity perceptions were a function of EFG structure. Limonene and menthol decreased and increased the perception of firmness, respectively, and they also decreased the perception of stickiness and increased the perception of moistness, creaminess, and graininess attributes. Broadly speaking, the aromas impacted texture perception and physiological reactions, implying that studying the relationship between texture and aroma might provide new insights into sensory perception and the development of new food products.

Agile Stage-Gate Approach for Design, Integration, and Testing of a 1U CubeSat

Life cycle stages are very important for the aerospace industry. Many models have emerged for handling the processes within and across the development of new products. Developing CubeSat-based missions has shortened the required time and has reduced expenses. However, the lack of strategic planning in the design, integration, and testing of product development models has been highlighted as one of the key issues contributing to failures. The objective of this study is to propose a new hybrid model for the physical development of a product using an Agile Stage-Gate methodology focused on a 1U CubeSat (AztechSat-1). This study aims to explain the full process throughout the project timeline from conceptualization to execution. The benefits of such a model include ensuring adaptive responses to not only improve technical integration but also allow the successful validation and verification of a nanosatellite. Our theoretical approach articulates an in-depth understanding of Agile Stage-Gate methodology through experience obtained from experts and team members. Our analysis supports the expected benefits of the iterative process at every stage. Through this approach, product development could benefit from reduced times and better innovations. Nevertheless, there are also drawbacks to this method. The requirements of greater human effort, more frequent demonstrations, and a constant review process have negative impacts. Additionally, particular modifications must be made for each area of research. For educational purposes, the initial results seem to be encouraging.

Optimizing New Product Development in The Hijab Industry: A House of Risk Analysis on Marketing and Design Process

XYZ Company, a Micro, Small, and Medium Enterprise (MSME) based in Yogyakarta, specializes in producing hijabs but faces challenges in maintaining customer interest due to a misalignment between product designs and consumer preferences. To address this, the company actively engages in new product development (NPD), focusing on trend analysis and model innovation to cater to customer needs better. An essential part of minimizing risks during the NPD process involves evaluating and identifying potential pitfalls, particularly in marketing and design. This study employs the Hazard and Operability Review (HOR) method to assess risks systematically. Initial findings from HOR phase 1 reveal that inadequate competitor information (A3) leads to significant risks in competitor product identification (E3), contributing approximately 70.34% to the total Aggregate Risk Priority (ARP). Subsequently, in HOR phase 2, XYZ Company prioritizes ten mitigation actions, with conducting a comparative study of competitors' products (PA1) being the most critical, reflected by an ETDk value of 540. Keywords: House of Risk (HOR), Hijab Fashion, Hijab Industry, New Product Development (NPD)

Pervasive Computing For New Design In Big Data Analytics Software Development: Requirements Engineering Perspective

In recent years, the field of big data has been rapidly growing and has become a crucial aspect of many industries. The ability to collect, analyze, and interpret massive amounts of data has enabled businesses to make more informed decisions and has led to the development of new products and services. However, with the increase in data volume, velocity, and variety, traditional software development methods have become inadequate. This has led to the emergence of new design approaches that can handle the complexities of big data. Big data is very important nowadays for business organizations to make smart decisions based on insight gained from the big data. These benefit the organization to be competent in the market as well as to maximize their profit. However, there is a high rate of big data software project failure. This is due to a lack of new design approaches that can handle different dimensions of requirements for big data. The objective of this paper is to show how the pervasive computing / pervasive requirements engineering approach should be considered for big data software development based on different perspectives in pervasive environments to design new software

Experience-dominant logic: laying the groundwork for an experience-dominant view of firm practices in the marketplace

PurposeThis paper aims to introduce the experience-dominant (Ex-D) logic model, which synthesizes the creation, perceptions and outcomes of Ex-D logic. It is designed to offer valuable insights for strategic managerial applications and future research directions.Design/methodology/approachEmploying a qualitative approach by using eight selected product launch events from reviewed 100 event videos and 55 in-depth interviews with industrial managers to develop an Ex-D logic model, and data were coded and analysed via NVivo.FindingsResults show that the firm’s Ex-D logic is operationalized as the mentalizing of the three types of customer needs (service competence, hedonic excitations and meaning making), the materializing of three types of customer experiences and customer journeys (service experience, hedonic experience and brand experience) and the moderating of three types of customer values (service values, hedonic values and brand values).Research limitations/implicationsThis study has implications for adding new insights into existing theory on dominant logic and customer experience management and also offers actionable recommendations for managerial applications.Originality/valueThis study sheds light on the importance of Ex-D logic from a strategic point of view and provides an organic view of the firm. It distinguishes firm perspective from customer perspective, firm experience from customer experience and firm journey from consumer journey.

Assessing the drivers and capabilities for faster product launch: a scale for time‐to‐market reduction in start‐ups

The acceleration of new product development (NPD) and market introduction is essential for companies to maintain competitiveness, enhance customer base, and achieve financial success. While the existing literature addresses time‐to‐market (TTM) reduction factors in a scattered manner, focusing on aspects like supplier and customer involvement, leadership, and learning, there is a noticeable gap in construct development and measurement validation for TTM reduction, particularly in start‐up contexts. Addressing this gap, our research introduces and validates a comprehensive, hierarchical scale designed to measure both the drivers and capabilities associated with TTM reduction in start‐ups. This innovative scale broadens the scope of traditional constructs, incorporating emerging dimensions such as transformational leadership, experiential learning, agile methodologies, and dynamic marketing strategies. We used our dataset and structural equation modeling (SEM) to validate the proposed scale, comparing the effect of drivers and capabilities on TTM reduction and the role of companies' age on this relationship. This approach confirms the scale's reliability and highlights its versatility. This research holds significant implications for enhancing NPD endeavors in start‐up environments. Introducing a methodologically robust scale equips managers with a powerful tool for setting realistic goals, monitoring progress, and assessing capabilities and contextual factors to refine NPD processes. Furthermore, the scale serves as a benchmarking instrument for start‐ups, aiding them in attracting investments and achieving a competitive advantage. Our study, therefore, stands as an essential contribution to the strategic management of NPD in the dynamic and evolving landscape of start‐ups.

Effects of Torulaspora delbrueckii and Saccharomyces cerevisiae Co-Fermentation on the Physicochemical and Flavor Compounds of Huaniu Apple Cider.

The effects of different fermentation methods utilizing Torulaspora delbrueckii 1004 and Saccharomyces cerevisiae 32169 on the physicochemical properties, organic acid content, polyphenol and flavonoid concentrations, antioxidant activity, and volatile aroma compounds of Huaniu apple cider were investigated in this study. Employing methods of single inoculation, co-inoculation, and sequential inoculation, it was found that sequential fermentation exhibited strong fermentative power in the initial stages, effectively reducing the content of soluble solids and achieving a balanced composition of malic, succinic, and citric acids while maintaining a lower titratable acidity. Sequential inoculation was observed to significantly enhance the total polyphenols and flavonoids, as well as the antioxidant capacity (p < 0.05). Specifically, in the synthesis of volatile aroma compounds, sequential inoculation significantly enhanced the richness and diversity of the Huaniu apple cider's aromas, particularly in terms of the concentration of ester compounds (p < 0.05). Principal component analysis further confirmed the superiority of sequential inoculation in terms of aroma component diversity and richness. The findings of this study suggest that sequential inoculation of fermentation with non-Saccharomyces and S. cerevisiae is an effective strategy for optimizing the flavor characteristics of Huaniu apple cider, offering valuable theoretical support and practical guidance for enhancing cider quality and fostering the development of new products.

Identification of calcium chelating peptides from peanut protein hydrolysate and absorption activity of peptide-calcium complex.

Peanut peptides have good chelating ability with metal ions. However, there are few studies on the chelation mechanism of peanut peptides with calcium and absorption properties of peptide-calcium complex. Peptides with high calcium chelating rate were isolated and purified from peanut protein hydrolysate (PPH), and the chelation rate of component F21 was higher (81.4 ± 0.8%). Six peptides were identified from component F21 by liquid chromatography-tandem mass spectrometry, and the frequency of acidic amino acids and arginine in the amino acid sequence was higher in all six peptides. Peanut peptide-calcium complex (PPH21-Ca) was prepared by selecting component F21 (PPH21). Ultraviolet analysis indicated that the chelate reaction occurred between peanut peptide and calcium ions. Fourier transform infrared analysis showed that the chelating sites were carboxyl and amino groups on the amino acid residues of peptides. Scanning electron microscopy revealed that the surface of peanut peptide had a smooth block structure, but the surface of the complex had a granular morphology. Caco-2 cell model tests revealed that the bioavailability of PPH21-Ca was 58.4 ± 0.5%, which was significantly higher than that of inorganic calcium at 37.0 ± 0.4%. Peanut peptides can chelate calcium ions by carboxyl and amino groups, and the peptide-calcium complex had higher bioavailability. This study provides a theoretical basis for the development of new calcium supplement products that are absorbed easily. © 2024 Society of Chemical Industry.

Coding Competencies across Roles: Computer Programming Practices in News Media Organizations

ABSTRACT Computer programming, or what is commonly known as coding, is an emerging skill supporting the development of digital products in news media organizations. Through the application of practice theory—a hybrid approach that includes elements of field theory, actor–network theory and structuration theory—we examine the ways in which coding competencies are practiced within and across different roles, for different purposes. This exploratory study uses online interviews with 19 news product managers and leaders–or those who are tasked with the management, development, testing, and launching of digital news products–offering unique insight on coding practices across functions. Results highlight the usage, value and nuances of coding skills, providing insight into the activities, materiality, and reflexivity of computer programming as it emerges across roles in a news organization.

A review of techno-functional properties of legume proteins and their potential for development of new products

A review of techno-functional properties of legume proteins and their potential for development of new products

Development of youth tourism in Kazakhstan: a conceptual approach to studying

The purpose of the study is to analyze the development of youth tourism, taking into account sociocultural and economic conditions, depending on the consumer behavior of young people based on a conceptual approach.Methodology. The study used interdisciplinary methodology, including analysis of existing literature, comparative analysis of world practice in youth tourism, methods of observation, analysis and comparison of data, conducting a survey among the youth of Kazakhstan.Originality / value of the study. The conceptual approach to the study of youth tourism in Kazakhstan can be important for understanding trends in the tourism industry, for the development of new products and services to meet the needs of youth, contributing to the economic and social development of the country. The analysis of youth tourism represents an important contribution to the study of youth tourism in Kazakhstan and can be useful for developing a strategy for the development of youth tourism.Findings. The study identified the main directions of youth tourism in Kazakhstan, identified the features of consumer behavior of young people in the conditions of adaptation to the world practice of the national environment. The results of the study represent a valuable contribution to the understanding of youth tourism and can serve as the basis for developing a conceptual model for the development of youth tourism in the Republic of Kazakhstan. Practical recommendations can improve the mechanisms for the development of youth tourism, create favorable conditions and increase attractiveness for young travelers.

Recommendations for the Clinical Development of Medicinal Products for Non-specific Influenza Chemoprophylaxis

INTRODUCTION. The evolution of the influenza virus has led to a gradual decrease in the effectiveness of current antivirals. Better methods of prevention, detection, control, and treatment of influenza are needed, including more effective vaccines and antivirals. At the moment, the Russian Federation and the Eurasian Economic Union lack documents regulating the conduct of clinical trials of medicinal products for influenza prevention and require that guidelines should be developed for the matter.AIM. The authors aimed to analyse the main regulatory approaches to preclinical and clinical development programmes for medicinal products for influenza prevention in the Russian Federation, the Eurasian Economic Union (EAEU), the European Union, and the United States of America.DISCUSSION. This review substantiates the importance of non-specific influenza chemoprophylaxis in reducing the risk of adverse outcomes of the disease. The authors analysed the main stages of preclinical development of medicinal products for influenza prevention and the potential contribution of preclinical studies to the planning of clinical trials. When developing preclinical and clinical programmes for medicinal products for influenza prevention, it is necessary, first of all, to take into account the requirements of the national good clinical practice guidelines and the EAEU guidelines for clinical trials in general. This article pays particular attention to the clinical trial designs used internationally, the possible options for their implementation, the characteristics of study populations, the formation of study groups, and the selection of primary and secondary endpoints.CONCLUSIONS. The article proposes approaches to planning and conducting clinical trials of medicinal products for the prevention of influenza, taking into account the specifics of legal norms and clinical traditions of Russian practice. These recommendations will ensure high-quality data on the effectiveness and safety of investigational medicinal products and accelerate the introduction of new effective medicinal products for influenza prevention into medical practice.

Big data analytics capabilities: direct and mediating relationships with innovative and business performance

This study examines the effect of key big data analytics capabilities (data, skills, technology, and culture) on innovation performance and business performance. Data were gathered from 91 companies and analyzed to determine correlations in the proposed model. The results find that big data analytics capabilities (BDAC) partially mediate the effect between innovative performance and business performance. Further, as a company’s performance is a multidimensional element, was necessary to analyze more than one attribute to evaluate the relationship with BDAC through a canonical correlation analysis. The results in this sense reveal that the four big data capabilities increase the growth of sales, revenue, the number of workers, the net profit margin, innovation management, the development of new products and services, and the adoption of new information technologies.

Modifying Language for a Higher Goal: Investigating Quantitative Features of Apple’s Launch Event Speech from 2016 to 2022

ABSTRACT In response to the COVID-19 pandemic, Apple Inc. switched its product launch from onsite events to pre-recorded online broadcasts. Yet this form has been carried on even though the pandemic has faded. It is unclear if this shift was accompanied by a move in language complexity and how the communication effect was influenced. This study analysed Apple’s product launch events from 2016 to 2022 using quantitative linguistics metrics such as lexical complexity, word token length, entropy, readability, and sentence length distribution. The analysis adopted the reach-effect-durability framework for interpreting the effects of strategic communication. The results showed that Apple’s online product launch events featured richer and longer words, increased text difficulty, and a decrease in the proportion of short sentences. Such changes happened in a balanced manner that can be interpreted in view of the driving and restraining forces resulting from the mode shift of the launch event. This study demonstrates the feasibility of assessing efforts and strategies used in a communication campaign through quantitative text analysis.