In the last few years, artificial intelligence has grown rapidly and has become increasingly popular in daily life. As a powerful branch of artificial intelligence, generative AI (Gen AI) offers immense potential for application within the new product development (NPD) process. In this study, we investigate the impact of Gen AI on NPD by utilizing a closed-form analytical model within a single-product monopoly. The results show that the profit and productivity levels of a company adopting Gen AI technology are lower than those of a non-Gen AI company. However, the company that adopts Gen AI technology achieves better product quality than a company without Gen AI implementation. Furthermore, by increasing design costs by a small amount, the Gen AI adopting company improves its product quality level, while non-Gen AI companies experience only a slim increase in product quality. Additionally, under lower fixed costs, outcomes improve for both Gen AI and non-Gen AI companies. Our findings suggest that a company which has already adopted Gen AI technology should not reduce the cost of quality. Instead, it should focus more on increasing the cost of quality to realize greater benefits from Gen AI implementation.

Manufacturing companies are trying hard to anticipate a disrupted supply chain. Internal changes are encouraged to adapt to external conditions. Partnerships with external parties through supply chain collaboration are needed to improve supply chain performance and increase competitiveness. This research examines the effect of supply chain collaboration on supply chain performance by adopting new product development, product knowledge, and production technology. The study surveyed 148 manufacturing companies at managerial level using questionnaires. Data processing using SmartPLS software version 4.0. The results show that supply chain collaboration positively influences production technology, product knowledge, new product development, and supply chain performance. Production technology positively impacts product knowledge, new product development, and supply chain performance. The results also show that supply chain performance is influenced by product knowledge and new product development. In addition, production technology, new product development, and product knowledge mediate the indirect influence of supply chain collaboration on supply chain performance. This study contributes to enriching supply chain management theory. The practical contribution is to enlighten the company's managerial to run supply chain collaboration in generating performance and competitiveness.

The purpose of this research is to find a research gap solution between relational capital and marketing performance. This research uses small and medium enterprises (SMEs) networking as a mediating variable, and adds technology capability and new product development as an expansion of research. The research method uses Structural Equation Modeling to test hypotheses and uses WarpPLS 4.0 in data analysis. Simple random sampling is conducted to 170 respondents as owners or managers of SMEs in Indonesia. The findings of this study indicate that the SME networking is an appropriate mediating variable between relational capital and marketing performance since there is a significant effect of relational capital on SMEs networking directly and also a significant effect of SME networking to marketing performance, directly. However, there is no significant effects of technology capability to SMEs networking and also no significant influence from technology capability to new product development. Likewise, there is no significant influence of new product development to marketing performance. This research is very important for SMEs in Indonesia as a solution for facing problems in the future.

Previous research has concluded how the Small Medium Enterprise (SMEs) have huge effect on the world economy. On the other hand, future demands lead SMEs to be able to be innovative in order to compete in the business world. One indicator of the innovative scale of a company is the scale of innovation of its products. This research tries to analyze how the impact of dimensions in technological innovation capabilities (TIC) on the performance of new product development (NPD) on SMEs. There are 7 dimensions in TIC, namely learning capability, R&D capability, resource allocation capability, manufacturing capability, marketing capability, organizing capability and strategic planning capability. The analysis method used in this research is the structural equation modeling (SEM) approach using SmartPLS 3.0 software. The data processed is the result of a questionnaire that was answered successfully by 178 SMEs. The analysis results indicate that the marketing capability, R&D capability and strategic planning capability had significant impacts on the new product development performance.

The advancement of sustainable competitiveness and its contribution to the sustainability of sustainable development are becoming increasingly important research topics in sustainability science. The main purpose of this study is to disseminate knowledge in the practice of entrepreneurship and to strengthen the theoretical foundation to support sound and appropriate decision making as well as to improve the performance of the business competitiveness. The main source of data material in this paper is the primary micro fundamental survey with path analysis model. The result of this study shows that technological innovation not only produces new products but can also be the best way to achieve advancement. New Product Development (NPD) is the output of technological innovation, and the best way that must be developed as a strong foundation for decision makers to achieve sustainable competitiveness progress is the new product development and institutional integration. If productivity and economic growth are the main keys to success in achieving sustainable competitiveness, the NPD and institutional integration is the main determinant of the progress of sustainable competitiveness. The conclusion of this study is that productivity and economic growth is not enough to be the main key of the strength of competitiveness, but it also requires collaboration from various fundamental factors and the NPD and institutional integration as a driving force, the best way, and the main determinant of the achievement of the performance progress of sustainable development competitiveness.

This study aims to design a new model for selecting most fitting new product development projects in a pool of projects. To catch the best model, we assume new products will be introduced to the competitive markets. Also, we suppose the revenue yielded by completed projects can be reinvested on implementation of other projects. Other sources of financing are borrowing loans from banks and initial capital of the firm. These limited resources determine most evaluated projects to be performed. Several types of interactions among different projects are considered to make the chosen projects more like a portfolio. In addition, some numerical examples from the real world are provided to demonstrate the applicability of the proposed model. These examples show how the particular considerations in the suggested model affect the results.

Teamwork, for competitive advantage, involving techno-socio-cultural aspects of organizations for engineering developments, is gaining importance rather rapidly due to advent of globalization. The purpose of this study is to identify the importance of teamwork culture for new product develop-ment (NPD) success through enriching the NPD team’s capability in Indian manufacturing industries. It accumulates the teamwork culture dynamics and practices, their interrelationships and their combined impact on NPD team’s capability in terms of technological developments for NPD success. This practical analysis collects primary data from 263 design and development experts from Indian engineering manufacturing companies. Structural equation modeling (SEM) approach is applied to investigate the interrelationship among associated variables of teamwork culture and NPD team’s capability for NPD success. Concurrent engineering team (CET), communication infrastruc-ture (CI), system integration (SI) and result orientation (RO) have been recognized as allied factors of teamwork culture. Successful adoption of associated variables ensures NPD success through influencing NPD team’s capability which in turn articulated by technological developments. The realization of combined impact of teamwork and its allied variables escalates technological developments which in turn enriches NPD team’s capability assuring organizational success. The result indicates that both CI and SI support CET for accelerating NPD team’s capability through technological developments. Besides, CET motivates innovation orientation most precisely referred as RO for escalating NPD team’s capability through technological developments for innovation.

This study explains the role of institutional performance and new product development (NPD) value chain strategies to enhance entrepreneurial competitive advantage. The analysis was based on survey data on 125 entrepreneurial households, taken using the multi-stage random sampling technique in Central Java and Yogyakarta. The path analysis model is used to explain the role and strategy used quantitatively. It was supplemented by a value chain analysis (VCA) model based on a supply chain management (MSC) approach in a more classical, linear, complex, and descriptive sub-sector analysis. The results show that the NPD factors significantly contribute to increasing the entrepreneurial competitive advantage. Furthermore, the NPD value chain strategy, apart from benefiting managers, provides employment opportunities and new markets to the community holistically. Its chain strategy changes the role and atmosphere of people's lives more humane.

Developed food production lines recently have built factories for novel products to find a position in the market faster, although innovation is still expensive and risky. This study focuses on con-tributors who persuade consumers to purchase new pasta products in Tehran, and tries to determine the correlation among the criteria. This is conducted from the market experts’ view points along with a blend of grounded theory and DEMATEL. The results indicate that quality, price, packag-ing, promotion, phantasm and place parameters enhance new pasta pictures on customers’ buying decision making. According to experts, quality and price are the most influential factors and promo-tion and phantasm are completely ineffective. In addition, cultural parameters, especially local reci-pes as well as customers’ palate are important in this process.

New product development is a modern approach to deal with the environmental changes and an introduction to enter the competitive atmosphere is a challenging condition. By realizing the critical aspects of success of the new product and selecting a compatible model of variables in these aspects, companies may create a unique context for developing the product; but whether in terms of the multiplicity of the decision-making choices or the inherent conflicts of the response atmosphere’s variables, the complexities of the current world have caused disruption and inefficiency in the field of optimal selection and decision making. The aim of this study is to identify the critical aspects of development of the new product in the Sedan automobile class and to offer a morphological model of that by investigating the ideas and comments of the experts and scholars. In this regard, by using the Importance-Performance Analysis (IPA) method, the proposed method assesses the mode of the organization; and with the General Morphological Analysis, it assesses and searches for the most compatible decision-making variables to find the fully optimal and compatible solutions. After studying the subject literature, seven critical aspects are selected for the product development and three purposes are chosen for limiting the morphological model. Finally, four fully compatible configurations and one configuration are proposed with the entrance of the aspects determined from the output of IPA method. The innovative solution in solving the morphological model and its integration with IPA method are considered as the innovations of this study.