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As the start of a new product development (NPD) process, the front fuzzy end (FFE) is believed to determine new product performance to a large extent. However, its effects on new product performance, particularly in terms of quality and cost, lack empirical evidence in the extant literature. Moreover, the joint performance effects of the FFE and cross-functional interfaces in later NPD stages (i.e. product development and product launch) are largely overlooked and deserve further investigation. Therefore, this study aims to explore the direct effects of the FFE and later stages’ joint moderating effects on new product performance (i.e. quality and cost) from a holistic process view.

A conceptual model is proposed to hypothesize the FFE–new product performance relationships and the joint performance effects of cross-functional interface management. A sample of 196 firms from an international survey is used and hierarchical linear regression is employed to test the proposed hypotheses.

This study finds that FFE implementation contributes to both new product quality and cost performance. Moreover, interface management in multiple NPD stages has synergistic performance effects. Specifically, the FFE, customer involvement in product development and manufacturing flexibility in product launch jointly improve new product quality performance, while the FFE, supplier involvement in product development and manufacturing flexibility in product launch jointly improve new product cost performance.

This study extends the NPD literature by deepening the understanding of the key roles of the FFE on new product performance and evidencing the synergistic effects of cross-functional interfaces in multiple NPD stages. Further, this study also highlights the differential joint moderating effects of interface management in later NPD stages on new product quality and cost performance. This study also offers insightful implications to NPD managers.

The paper investigates the effects of strategic human resource practices on intellectual capital and new product development performance in knowledge-based firms.

A quantitative approach was adopted to conduct the present study. The respondents were sampled from knowledge-based firms in Iran. Overall, 120 managers in 60 knowledge-based firms were selected using convenience sampling. A confirmatory factor analysis was conducted to ascertain the validity and reliability of the observed items, and a structural equation model was employed for testing the proposed hypotheses.

In the studied firms, strategic human resource practices have a positive and significant effect on intellectual capital. Moreover, the findings of this study indicate that those firms that use their intellectual capital have a higher new product development performance.

The study focuses on knowledge-based firms in Iran, which limits the generalizability of the research results. Therefore, future studies should be carried out with samples from other settings and countries. Moreover, as the study was cross-sectional, the causal relationships could not be inferred directly.

With regard to key areas of improvement identified in this study, knowledge-based firms should focus on increasing new product development performance by improving employees' training, involving them in their job-related decision-making process, empowering employees to innovate, developing intellectual capital and monitoring the customer's satisfaction level of new products.

The study extends the intellectual capital literature by linking strategic human resource practices to new product development performance in knowledge-based firms via intellectual capital as a mediator.

The purpose of this study is to examine tolerance of channel partners’ opportunistic behaviors as a viable governance mechanism and to test contingent transaction benefit and cost factors to determine tolerance of opportunistic behaviors.

Through the theoretical lenses of governance value analysis and transaction cost economics, this study theorizes that a supplier’s tolerance of its reseller’s opportunistic behaviors should depend on transaction benefit factors (e.g. new product creativity and marketing program creativity) and transaction cost factors (e.g. performance ambiguity and opportunity cost). The author empirically tests the moderation model using data from a large-scale survey of 141 mobile phone suppliers in South Korea.

The empirical results largely support the predictions on the moderating effects. For transaction benefit factors, marketing program creativity increases the supplier’s tolerance, while new product creativity does not increase the supplier’s tolerance. For transaction cost factors, the supplier’s concerns about opportunity cost increase the level of tolerance, while performance ambiguity of a business partner decreases the tolerance level.

Theorizing opportunistic behaviors as a policy variable subject to benefit-cost assessment rather than an assumption provides new insights to interfirm governance research.

To the best of the author’s knowledge, this study is the first kind to consider transaction benefit and cost factors together in a single contingency framework in tolerance research. Also, this research provides a new perspective on a microlevel marketing factor (i.e. creativity) as an influential factor in governance mechanisms.

Over the past decades, mainstream studies have generally indicated that new ventures could improve entrepreneurial performance by adopting strategic alliances (SAs). However, recently an increasing number of new ventures appear to not realize this objective using SAs at all times and may, rather, even be stuck in the survival trap. This dilemma indicates that the causal relationship between SAs and entrepreneurial performance in new ventures is not simply linear and rather a further complex nonlinear relationship. To handle this debate, this study attempted to reveal the nonlinear relationship of two types of SAs (technology alliances and market alliances) in new ventures with entrepreneurial performance (organizational growth and customer value). In addition, the moderating effect of transactive memory system (TMS) in the entrepreneurial team under the nonlinear relationship was explored.

This study established a research model by considering technology alliances and market alliances as two independent variables, organizational growth and customer value as two dimensions of entrepreneurial performance, and TMS as the moderators. The survey data collected from 207 Chinese new ventures was subjected to the hierarchical linear regression method for testing the proposed hypotheses.

The results revealed that there is an inverse U-shaped relationship between technology alliances and organizational growth, while the relationship between technology alliances and customer value was U-shaped. In addition, the relationship between market alliances and organizational growth was U-shaped, while an inverse U-shaped relationship was observed between market alliances and customer value. Finally, TMS was observed to positively moderate the U-shaped relationship between technology alliances and customer value as well as the U-shaped relationship between market alliances and organizational growth.

This study concluded that a nonlinear relationship between SAs and entrepreneurial performance existed in new ventures, which contributes to resolving the debate on whether new ventures could adopt SAs to improve entrepreneurial performance at all times. Specifically, the findings of this study would enrich the existing literature on the outcomes of SAs in new ventures through an evaluation of the effect of the inverse nonlinear relationship between technology alliances and market alliances on entrepreneurial performance (e.g. organizational growth and customer value). In addition, the findings of this study would extend the discussions about the conditions of the above causal relationship by introducing the TMS as the core moderator.

This research paper aims to investigate detailed relationships between market selection and product positioning decisions and their associated short- and long-term product performance outcomes in the context of the music category: a cultural goods industry with high amounts of product introductions. Market selection decisions are defined by the size, competitiveness and age of market subcategories within an overall product category. Positioning decisions include where a product’s attributes are located spatially in the category (periphery versus the market center), whether a product resides within a single subcategory or spans multiple ones and what brand strategy (single versus co-branding) is used.

Data are from multiple sources for the US music industry (aka product category) from 1958 to 2019 to empirically test the hypotheses: genres (rock, blues, etc.) correspond to subcategories; artists to brands; and songs to products. Regression analyses are used.

A complex set of nuanced results are generated and reported, finding that key marketing decisions drive short-term new product success differently and frequently in opposing ways than long-term success. Launching into very new, well-established or very competitive markets leads to the strongest long-term success, despite less attractive short-run prospects. Positioning a product away from the market center and spanning subcategories similarly poses short-run challenges, but long-run returns. Brand collaborations have reverse effects. Short-run product success is found, overall, to be difficult to predict even with strong data inputs, which has substantial implications for how firms should manage portfolios of products in cultural goods industries. Long-run product success is considerably more predictable after short-run success is observed and accounted for.

While managers and firms in cultural goods industries have long relied on intuition to manage market selection and product positioning decisions, this research tests the hypothesis that objective data inputs and empirical modeling can better predict short- and long-run success of launched products. Specific insights on which song characteristics may be associated with success are found – as are more generalizable, industry-level results. In addition, by distinguishing between short- and long-run success, a more complete picture on how key decisions holistically affect product performance emerges. Many market selection and product positioning decisions have differential impacts across these two frames of reference.

The purpose of the study was to analyse the impact of innovation ambidexterity represented by explorative and exploitative innovation capabilities and their combined effects on product innovation performance and to prove the mediating effect of decentralization.

The study uses partial least squares for structural equation models and SmartPLS version 3.3.1 on a sample of 174 Romanian medium- and large-sized firms from the IT industry to test six research hypotheses. To measure innovation ambidexterity, the orthogonal approach was used, conceptualizing innovation ambidexterity as a multidimensional, second-order construct composed of explorative and exploitative innovation capabilities. Innovation ambidexterity was conceptualized as a multiplicative term of both explorative and exploitative innovation capabilities.

The empirical results prove that innovation ambidexterity is positively correlated with product innovation performance, while decentralization is mediating the impact of innovation ambidexterity on product innovation performance in the IT industry.

The data was based on self-reported assessments of senior executives. While innovation ambidexterity may influence product innovation performance in the long term, such long-term effects are not assessed. Other studies found a moderating effect between centralization or decentralization and ambidexterity, while we found that it has a mediating effect.

In the context of innovation capability, the combination of explorative or exploitative capabilities may lead to a better synergy. Innovation ambidexterity influences product innovation performance through a synergistic effect, making the simultaneous combination of capabilities useful for firms willing to make efficient use of existing resources and make their capabilities mutually supportive. Moreover, for senior executives, the effects of decentralization as a mediator provide further incentive to include it in their development of firms' innovation capabilities.

This study extends findings of other studies by contributing to a deeper examination of the effects of decentralization, on innovation outcomes by focusing on a specific type of innovation, product innovation. Moreover, since innovation capability is often studied in small firms or in the manufacturing industry, this study contributes to the research on innovation capability and the consequences on innovation capability in the services sector and medium- and large-sized companies. By proving that decentralization mediates the effects of innovation ambidexterity on product innovation performance, it enables reconsideration of the organizational structure role in fostering innovation.

The purpose of this study is to improve supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development. During the COVID-19 pandemic, the organizations have struggled a lot to maintain the supplier performance and strategic sourcing decisions in the organizational benefit. However, in this context, the organization’s agile new product development (ANPD) process must be aligned with this requirement by maintaining the inventory and jobshop scheduling. As a result, identifying ANPD indicators, performance metrics and developing a structural framework to guide practitioners at various stages for smooth adoption is essential to improve the overall performance.

A comprehensive literature review is conducted to identify jobshop scheduling, inventory management and ANPD indicators along with the performance metrics, and the hierarchical structure is developed with the help of expert opinion. The modified stepwise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assurance (WASPAS) techniques, along with expert judgement, are used in this study to calculate the weights of the indicators and the ranking of the performance metrics.

As per the weight computation by SWARA method, the strategy indicators have the highest relative weight, followed by the product design indicators, management indicators, technical indicators, supply chain indicators and organization culture indicators. According to the ranking of performance metrics obtained through WASPAS, the “frequency of new product development is at the top”, followed by “advances in product design and development” and “estimated versus actual time to market”.

It is believed that the framework developed will help industrial practitioners to plan effectively to improve supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.

The outcomes of the present study will be extremely beneficial for the industry practitioners to improve the supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.

A unique combination of modified SWARA–WASPAS technique has been used in this study which would be beneficial for organizations willing to adopt the jobshop scheduling and inventory management and ANPD for improving supply chain performance.

This study examines current dynamics, consolidates current knowledge, elicits trends, identifies and analyzes primary research clusters, offers future directions, and develops an integrated framework for Product Advantage (PA) research.

Using the SCOPUS database, this study applied bibliometric analysis (208 articles) and conducted content analysis on the 35 curated articles selected using a combination of bibliographic coupling and the most cited articles.

This study presents the field’s publication trends, most relevant authors, articles, journals, and knowledge structures. It identifies six primary research themes and four major clusters using the thematic map and bibliographic coupling. Marketing and PA, New Product Development (NPD) and PA, Product Innovation and PA, and New product speed and PA are the main clusters. Finally, this study offers directions for future research and provides an integrated framework for PA research.

By developing an ADO framework of PA, the study offers key insights into how PA shapes product outcomes and identifies key antecedents of PA. Firms must focus on firm factors such as market and technological orientation; product factors, such as development time and pre-announcement proficiency; external factors, such as competition; and environmental factors, such as competitive intensity and technological turbulence. It enables firms to create products with high PA, shaping product outcomes and contributing to their competitive advantage.

This is the first study to conduct a two-stage sequential hybrid review of quality articles on PA. It offers an Antecedents-Decisions-Consequences (ADO) framework based on significant studies and offers cluster-wise directors for future research.

The purpose of the study has been to fill the gap detected in the literature and to analyze whether the application of management of R&D in accordance with UNE 166002:2021 allows companies to obtain higher product innovation and better performance, specifically incremental and radical product innovations.

The population used in this study included Spanish manufacturing organizations that were active, had more than 50 employees according to the SABI. The information was collected through a structured questionnaire previously tested using a company specializing in the sector under the supervision of the authors. A total of 1,154 companies were randomly contacted in order to reach an acceptable number of 225 valid questionnaires. The data analysis has been carried out with structural equation methodology.

The results obtained with a sample of 225 companies show that the application of this standard for innovation management promotes the development of new products with incremental and radical changes, and improves business performance. It has also been found that incremental and radical product innovations mediate the relationship between this standard and performance.

Firstly, the survey is only addressed to the company's operations manager. Secondly, the sample used is cross-sectional, whereas innovation management implies a broad implementation process.

Managers must know that radical and incremental product innovation can improve the company's operational performance. And the most direct implication of this work is that, those companies that are committed to the development of innovations should seriously consider the application of the principles incorporated in Standard 166,002, as an instrument that improves the results of innovation in the organization. Since this SIMS promotes both types of innovations, it improves results directly and indirectly through these product innovations.

The existing literature indicates that no empirical study has focused on the benefits of this SIMSs for innovation and BP. This paper fills this gap detected in the literature and analyzes the results of the implementation of this standard on incremental and radical product innovations and business performance.

This study examines the influence of different user innovator mindsets on new product development (NPD) performance. The current research explores the relative impact of a product-focused user innovator mindset vs a customer-focused mindset on feedback volume and feedback diversity and investigates the effect of each type of feedback on product improvement and product diffusion.

This study examines these relationships using two distinct types of data. Data on user innovator mindset, feedback characteristics and user innovator improvisation were obtained via an online survey. Archival data on NPD performance measures were acquired directly from an online research database, and results were obtained using confirmatory factor analysis.

The authors find that while neither type of user innovator mindset directly influences NPD performance, user innovators, who are highly customer-focused, have a significant advantage in sourcing knowledge from users in the form of a higher volume of feedback and more diverse feedback. In turn, feedback volume appears to positively influence product improvement, while feedback diversity positively influences product diffusion. Finally, the effect of both types of feedback on product improvement is enhanced for user innovators who are highly improvisational.

This research highlights the important role that customer focus plays in directly obtaining knowledge from customers (i.e. customer feedback) and the effects of that feedback on NPD performance. This study provides evidence that a user innovator's interest in accurately understanding the needs of their peers improves their access to external knowledge and enhances their innovation efforts.