New Product Development Research Articles

A comparative metabolomics analysis of phytochemcials and antioxidant activity between broccoli floret and by-products (leaves and stalks)

Leaves and stalks, which account for about 45% and 25% of broccoli biomass, respectively, are usually discarded during broccoli production, leading to the waste of green resources. In this study, the phytochemical composition and antioxidant capacity of broccoli florets and their by-products (leaves and stalks) were comprehensively analyzed. The metabolomics identified several unique metabolites (e.g., scopoletin, Harpagoside, and sinalbin) in the leaves and stalks compared to florets. Notably, the leaves were found to be a rich source of flavonoids and coumarins, with superior antioxidant capacity. The random forest model and correlation analysis indicated that flavonoids, coumarin, and indole compounds were the important factors contributing to the antioxidant activity. Moreover, the stalks contained higher levels of carbohydrates and exhibited better antioxidant enzyme activity. Together, these results provided valuable data to support the comprehensive utilization of broccoli waste, the development of new products, and the expansion of the broccoli industry chain.

Crowdfunding innovative but risky new ventures: the importance of less ambiguous tone

Crowdfunding provides a novel and potential way for innovative but risky new ventures to fund their new product development (NPD) projects. To help potential investors evaluate the projects and enhance the credibility of disclosure, founders are struggling with how to phrase the project description. The rapidly growing cleantech crowdfunding projects provide an ideal context to study this issue. We collected information on cleantech crowdfunding projects and matched non-cleantech crowdfunding projects from Kickstarter. The sample period extends from January 2013 to October 2018. Using signaling research as a theoretical lens and a dictionary-based, computerized text mining method, we found that founders of high-quality cleantech crowdfunding projects could create a reliable signal of quality by providing a project description with a less ambiguous tone and thus boost the success of crowdfunding. Moreover, the signaling effectiveness of a less ambiguous tone is more pronounced in cleantech crowdfunding than in matched non-cleantech crowdfunding, suggesting that the marginal benefit of using a less ambiguous tone is larger when the industry information environment is noisier. Further evidence shows that the signaling effectiveness of a less ambiguous tone in cleantech crowdfunding could be strengthened by backers’ endorsements. Our findings imply that tone ambiguity in project descriptions is related to founders’ information-concealing behavior. Potential investors could search ambiguous words in project descriptions and just allocate their limited attention into projects with a low percentage of ambiguous words to avoid information overload. Founders of high-quality projects could boost crowdfunding success by using a less ambiguous tone to describe their projects. The marginal effect is larger when there is greater uncertainty about project prospects.

Product Redesign and Innovation Based on Online Reviews: A Multistage Combined Search Method

Online reviews published on the e-commerce platform provide a new source of information for designers to develop new products. Past research on new product development (NPD) using user-generated textual data commonly focused solely on extracting and identifying product features to be improved. However, the competitive analysis of product features and more specific improvement strategies have not been explored deeply. This study fully uses the rich semantic attributes of online review texts and proposes a novel online review–driven modeling framework. This new approach can extract fine-grained product features; calculate their importance, performance, and competitiveness; and build a competitiveness network for each feature. As a result, decision making is assisted, and specific product improvement strategies are developed for NPD beyond existing modeling approaches in this domain. Specifically, online reviews are first classified into redesign- and innovation-related themes using a multiple embedding model, and the redesign and innovation product features can be extracted accordingly using a mutual information multilevel feature extraction method. Moreover, the importance and performance of features are calculated, and the competitiveness and competitiveness network of features are obtained through a personalized unidirectional bipartite graph algorithm. Finally, the importance performance competitiveness analysis plot is constructed, and the product improvement strategy is developed via a multistage combined search algorithm. Case studies and comparative experiments show the effectiveness of the proposed method and provide novel business insights for stakeholders, such as product providers, managers, and designers. History: Accepted by Ram Ramesh, Area Editor for Data Science and Machine Learning. Funding: This work was supported by the National Natural Science Foundation of China [Project 72071151] and the Natural Science Foundation of Hubei Province, China [Grant 2023CFB712]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2022.0333 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2022.0333 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

Focus on yourself: The impact of users' self-focus orientation on NPD ideas' attention allocation in online innovation communities

When users write up and post their new product development (NPD) ideas online, they differ in their self-focus orientation—meaning the extent to which they choose to focus on themselves in their posts, such as whether they include personal pronouns like “I” and “me.” However, the impact of this linguistic style choice on the attention allocated by company employees to users' NPD ideas is unknown. This study examines the role of users' self-focus orientation in shaping the NPD ideas' attention allocation of company employees in the context of online innovation communities. Drawing upon motivated information processing theory, we develop a theoretical model positing that online users' self-focus orientation influences the NPD ideas' attention allocation of company employees and that the effect of users' self-focus orientation on NPD ideas' attention allocation is contingent on various online community characteristics, including online community crowdedness and online community interaction. Analyzing 647,224 NPD ideas collected from one online innovation community, we show that users' self-focus orientation has a positive effect on NPD ideas' attention allocation. We also find that the positive effect of users' self-focus orientation on NPD ideas' attention allocation is made weaker when community crowdedness is high and that it is made stronger when community interaction is high. These results reveal two important underlying, context-specific boundary conditions. The study also challenges the predominant view in the social psychology literature regarding the negative impact of self-focus. Overall, this research sheds new light on how and when users' self-focus orientation in online innovation communities affects employees' attention allocation to NPD ideas beyond the impact of the actual content of the posted ideas. Additionally, we discuss how users can attract the attention of company employees so that the employees will focus on their NPD ideas, and we offer suggestions to community managers to realize the full potential of their online innovation communities.

Implementation of diversification of dual-use goods production through public-private partnership of aviation holding companies

Subject. This article deals with the issues of realization of the production and scientific potential of the Russian aviation industry. Objectives. The article aims to assess the capabilities of defense enterprises in the development, production and output of civil aviation products, and analyze measures aimed to support the production of dual-use goods and improving the competitiveness of the Russian aircraft industry. Methods. For the study, I used the methods of logical, theoretical, and comparative analyses. Results. The article finds that the Russian helicopter industry is characterized by the completeness of the cycle of development, production and final sale of products. Russian Helicopters holding company has the technological resources and production facilities to successfully diversify production and produce goods that are competitive in the domestic and global markets. Conclusions. The development and production of new products involves an increase in the utilization of production capacities of Russian aviation industry enterprises and the development of the relevant infrastructure. The State can act as a guarantor in order to attract funds from private investors for the development of projects.

Evaluating the moderated-mediation effects of switching costs in the link between social capital and NPD performance

In this study, we explore the causes and performance outcomes of switching costs in the context of new product development (NPD) from both the supplier and customer perspectives, and discuss the role that switching costs play as moderators and mediators in the relationship between social capital and NPD performance. Based on data from 214 Chinese manufacturers, we employ the structural equation model to test our conceptual model and hypotheses. The results indicate that relationship quality and customer involvement positively and negatively affect switching costs, respectively, and that switching costs negatively affect NPD performance. Switching costs mediate and moderate the relationship between social capital and NPD performance. Furthermore, switching costs significantly and positively moderate the relationship between relationship quality and NPD performance. On the other hand, switching costs insignificantly and negatively moderate the relationship between customer involvement and NPD performance. The theoretical and managerial implications of the findings are discussed.

Patterns of the Nutrients and Metabolites in Apostichopus japonicus Fermented by Bacillus natto and Their Ability to Alleviate Acute Alcohol Intoxication.

The aim of this study was to understand the changes in nutrient composition and differences in metabolites in Apostichopus japonicus fermented by Bacillus natto and their function in alleviating acute alcohol intoxication (AAI) through in vivo studies. The results showed no significant difference between the basic components of sea cucumber (SC) and fermented sea cucumber (FSC). The SC proteins were degraded after fermentation, and the amino acid content in FSC was significantly increased. The differentially abundant metabolites of SC and FSC were identified by LC-MS/MS. The contents of amino acid metabolites increased after fermentation, and arachidonic acid metabolism was promoted. The results demonstrated that FSC alleviated AAI by improving the activities of alcohol-metabolizing enzymes and antioxidant enzymes in the liver but did not alleviate the accumulation of triglycerides. Our results will provide beneficial information for the development and application of new products from FSC.

A method for the competitiveness estimation of the incremental new product through user-generated content

The current dynamic market environment challenges successful incremental new product (INP) launches, compelling enterprise managers to promptly recognize and respond to competitive situations. Estimating INP competitiveness before sale helps enterprise managers adjust their strategies effectively and in a timely manner to ensure successful INP launches. However, a lack of historical evaluation information challenges the estimation. Given that INPs are updates of existing products, massive user-generated content (UGC) regarding existing products and the new product launch provides an appropriate data source for estimating INPs' competitiveness. Therefore, this study proposes a method for estimating the competitiveness of INP using UGC. First, the INP product attributes are classified as non-updated or updated. For the former, existing products containing the same attribute values are used as references, and their reference values are measured based on the time and price of the first sale. UGC regarding the launch of INPs serves as a data source for the latter. Sentiment analysis is performed on the UGC concerning product attributes to obtain the sentiment tendency and sentiment intensity for constructing an intuitive fuzzy number, which represents INP's attribute performance. INP's product performance is estimated by considering attribute weights determined by customer attention. INP's competitiveness in the market environment is then estimated by comparing its product performance with that of competing products. Finally, the proposed method is applied to a mobile phone, and its effectiveness and applicability are verified.

How competitive intensity drives firms to speed up new product development? The mediating effect of knowledge integration and the moderating effect of market orientation

While industry conventions underscore the imperative for firms to accelerate their new product development (NPD) speed in order to maintain competitive advantage, especially when they face intense competition, extant literature has afforded relatively scant attention to the phenomenon of competitive intensity as a driver of NPD speed. Equally underexplored are the operational mechanisms and the boundary conditions of the effects of competitive intensity on NPD speed. Drawing on the knowledge‐based view, this paper reveals how competitive intensity shapes firms' NPD speed through knowledge integration and the contingency of both the direct effects and the mediating effect on market orientation. Data collected from a sample of Chinese manufacturing firms support the hypotheses of these multifaceted effects. The research findings contribute to the NPD literature in multiple ways and provide useful recommendations to managers.

Influence node analysis based on neighborhood influence vote rank method in social network

Social Networks are used for various purposes like advertising, product launches, sentiment analysis, opinion mining, and event detection etc. Terrorist targets social network users to spread the terrorism. Influence analysis is used in social networks to find the influence of users and the impact of the messages, mainly for advertising. In this research, the Neighborhood Influence – Vote Rank (NI-VR) method is proposed to analyze the terrorism and social network datasets temporally to find the influence node in Social networks. The Global Terrorism Dataset (GTD) was used to analyze the terrorism activity and temporal analysis on Social Network data to find the influence node. The Neighborhood node influence is measured and considered in the Social Network data to effectively find the influence node. The nodes’ vote score and vote ability were measured to rank the nodes based on influence. The neighborhood influence is measured to update the vote score and vote ability based on influence value. The neighborhood influence method is applied to rank the node has the advantage of analyzing the probability of affected nodes and recover nodes that help to effectively find the influence nodes. The outcomes illustrate that the proposed NI-VR achieved a maximum spread influence of 843 and the existing Greedy method has a higher spread influence of 840 in influence node analysis.

Challenges of Integrating Industrial Product Design CAD Packages in Commercial New Product Development in SME Settings

Challenges of Integrating Industrial Product Design CAD Packages in Commercial New Product Development in SME Settings

Understanding how they really feel: Lesson learned from four approaches to soliciting user preferences for new contraceptive products in development.

An expanded range of contraceptive methods could reduce unintended pregnancies. User preferences research is important for successful development of products people want to use. This paper describes four approaches to preferences research soliciting user input in different ways: 1) perspectives on contraceptive method characteristics, 2) reactions to products in development, 3) trade-offs between contraceptive method characteristics, and 4) "blue-sky" ideas on novel contraceptive technologies. We conducted two mixed-method studies: one implemented in Burkina Faso and Uganda combining three of these approaches, and the other implemented in India and Nigeria using two approaches. We share observations on the strengths and weaknesses of each approach and draw on our experience to highlight lessons learned for future user preferences studies. Each approach contributes to product development in different ways, and the usefulness of each methodology depends on the product development stage and corresponding informational needs. Recommendations for future research include combining different methods, angles, and perspectives; using sequential designs whenever possible; tailoring product descriptions to user understanding for optimal feedback; and acknowledging the value and limitations of both quantitative results for modeling demand and idiosyncratic ideas to inspire development of new products.

Product Development of Smartphone Accessories for Solo Creators for Self-Monitoring during Video Recording for Social Media Content

This paper aims to explore the development of new products from the Industrial Design Approach as smartphone accessories that help solo content creators as a new career in the new media revolution. Recognizing the limitations of recording via smartphones today, with features such as slow-motion video and better quality missing from existing smartphone selfie (front) cameras, additional accessory product projects were developed as a solution for solo creators of video content on social media to record themselves they use the back of the smartphone camera. This product is developed from problem-solving and supported with features that can give users a better smartphone screen display while recording videos.

Cohesive Properties of Bimaterial Interfaces in Semiconductors: Experimental Study and Numerical Simulation Using an Inverse Cohesive Contact Approach.

Examining crack propagation at the interface of bimaterial components under various conditions is essential for improving the reliability of semiconductor designs. However, the fracture behavior of bimaterial interfaces has been relatively underexplored in the literature, particularly in terms of numerical predictions. Numerical simulations offer vital insights into the evolution of interfacial damage and stress distribution in wafers, showcasing their dependence on material properties. The lack of knowledge about specific interfaces poses a significant obstacle to the development of new products and necessitates active remediation for further progress. The objective of this paper is twofold: firstly, to experimentally investigate the behavior of bimaterial interfaces commonly found in semiconductors under quasi-static loading conditions, and secondly, to determine their respective interfacial cohesive properties using an inverse cohesive zone modeling approach. For this purpose, double cantilever beam specimens were manufactured that allow Mode I static fracture analysis of the interfaces. A compliance-based method was used to obtain the crack size during the tests and the Mode I energy release rate (GIc). Experimental results were utilized to simulate the behavior of different interfaces under specific test conditions in Abaqus. The simulation aimed to extract the interfacial cohesive contact properties of the studied bimaterial interfaces. These properties enable designers to predict the strength of the interfaces, particularly under Mode I loading conditions. To this extent, the cohesive zone modeling (CZM) assisted in defining the behavior of the damage propagation through the bimaterial interfaces. As a result, for the silicon-epoxy molding compound (EMC) interface, the results for maximum strength and GIc are, respectively, 26 MPa and 0.05 N/mm. The second interface tested consisted of polyimide and silicon oxide between the silicon and EMC layers, and the results obtained are 21.5 MPa for the maximum tensile strength and 0.02 N/mm for GIc. This study's findings aid in predicting and mitigating failure modes in the studied chip packaging. The insights offer directions for future research, focusing on enhancing material properties and exploring the impact of manufacturing parameters and temperature conditions on delamination in multilayer semiconductors.

Initiative to Increase the Circularity of HDPE Waste in the Construction Industry: A Physico-Mechanical Characterization of New Sustainable Gypsum Products

The annual production of plastic waste worldwide has doubled in just two decades, with approximately 390 million tonnes of plastic waste now being generated. In this context, the construction industry must move towards the development of new, more sustainable materials made under circular economy criteria. In this work, a physico-mechanical characterisation of gypsum composites with the incorporation of high-density polyethylene (HDPE) waste, replacing 2–4–6–8–10% by volume of the original raw material, has been conducted. The results show how the incorporation of these plastic wastes improves the water resistance of the gypsum material without additions, as well as producing a decrease in thermal conductivity and greater resistance to impact. On the other hand, it has been found that, as the percentage of recycled raw material added increases, the mechanical resistance to bending and compression decreases, leading to fracture due to a lack of cohesion between the matrix and the waste. Nevertheless, in all the cases studied, mechanical strengths higher than those established by the EN 13279-2 standard were obtained. Thus, the results confirm the viability of these secondary raw materials to be used in the development of new products for sustainable building, especially in the design of prefabricated panels for false ceilings.

Postmodern organizational theory: empirical substantiation and practical application

The sports industry today is not only an important component of the socio7cultural life of the population, but also an open platform for the development of entrepreneurial projects in sports. Entrepreneurial activity in the sports industry includes the development of new ideas, the implementation of business plans and the search for investors to introduce new directions. Currently, the requirements of the markets for goods and services to enter them are quite high, there is high competition for consumer attention and a fairly short time for the launch of new products and services. Therefore, when implementing a new project in a shortened timeframe, entrepreneurs, including in the sports industry, face a difficult task: to take into account the existing critical factors when developing a new direction and reduce the risks during the implementation of the project. In this regard, managerial decision–making skills and the ability to calculate their consequences come to the fore.

Effective management decisions as a factor in the development of organizations in the sports industry

The sports industry today is not only an important component of the socio-cultural life of the population, but also an open platform for the development of entrepreneurial projects in sports. Entrepreneurial activity in the sports industry includes the development of new ideas, the implementation of business plans and the search for investors to introduce new directions.Currently, the requirements of the markets for goods and services to enter them are quite high, there is high competition for consumer attention and a fairly short time for the launch of new products and services. Therefore, when implementing a new project in a shortened timeframe, entrepreneurs, including in the sports industry, face a difficult task: to take into account the existing critical factors when developing a new direction and reduce the risks during the implementation of the project. In this regard, managerial decision-making skills and the ability to calculate their consequences come to the fore.

Effects of Domestic and International External Collaboration on New Product Development Performance in SMEs: Evidence from China

This study attempts to examine the influences of domestic and international external collaboration on new product development (NPD) performance in small and medium-sized enterprises (SMEs) and further explores the mediating mechanism of knowledge integration capability and the moderating effects of the innovation climate and organizational legitimacy. In this study, we collected data from 236 manufacturing SMEs in China by means of questionnaires, and multiple hierarchical regression analysis was used to test hypotheses. The results reveal that both domestic and international external collaboration are positively associated with SMEs’ NPD performance. Knowledge integration capability mediates domestic and international external collaboration–SMEs’ NPD performance relationships. Innovation climate positively moderates domestic external collaboration–SMEs’ NPD performance relationship and organizational legitimacy positively moderates domestic and international external collaboration–SMEs’ NPD performance relationships. This study expands the research on the relationship between external collaboration and NPD performance by categorizing external collaboration into two dimensions, domestic and international, and examining their direct influences on SMEs’ NPD performance. Moreover, through examining the mediating effect of knowledge integration capabilities and moderating effects of innovation climate and organizational legitimacy, this paper explains how, and under what conditions, domestic and international external collaboration facilitates the improvement of NPD performance in SMEs.

New Product Development Process of Thai SMEs in Food Industry

Amidst the highly competitive landscape of the food industry, every company requires a new product development (NPD) process to create new products that can replace current offerings. This research aimed to investigate the NPD process in the food industry of Thai SMEs. A qualitative research method was employed, involving in-depth interviews, to probe NPD processes in this particular industry. The population of this study included people with expertise in NPD within Thai food SMEs from government agencies, academic institutions, and successful SMEs. Specifically, the sample comprised three representatives from government agencies, three academic institutions, and five successful SMEs in the food business. These representatives were selected through purposive sampling. It was found that the overall NPD process in the food industry of successful SMEs was consistent with the common NPD process with eight steps. However, each group in the sample had different views on the most critical component. Government agencies attached great importance to laws and regulations, while academic institutions paid attention to the R&D of new food product development, and successful SMEs devoted much attention to quickly responding to customer or market needs. There were four essential parts identified: 1) relevant laws and regulations; 2) appropriate production technology; 3) consumer sensory tests; and 4) market testing as being important for the NPD process. Moreover, the findings also indicated that the successful NPD process of Thai food SMEs was about continuous learning and improvement, which required an agile concept, involving a continuous multi-step process that remains open to flexibility and dynamic information feedback.

Evaluating the Impact of Green Supply Chain Management Processes on New Products in Saipa Automotive Company

Objective: The development of new products is a strategic activity for many automotive companies to gain a competitive advantage. This requires the examination of variables that affect the performance of new product development. This article evaluates the impact of green supply chain management processes on new products at Saipa Automotive Company. Methodology: The research method is descriptive and survey-based. The research population includes managers from various departments at Saipa Automotive Company. Data were collected using a field method and a questionnaire with a convenience sampling technique. For data analysis, the Structural Equation Modeling approach with Partial Least Squares and the PLS software were used. Findings: Findings indicate that internal processes positively impact green practices. Furthermore, the impact of variables such as green supply chain actions, environmental characteristics, and supply chain agility on supply chain value creation was positive. Additionally, the results showed that supply chain value creation significantly impacted the development of new (green) products. Conclusion: Therefore, it is recommended that automotive industry companies use customer ideas in developing green products and seek their opinions on products and their modifications to enhance supply chain value creation and product quality.