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Knowledge assets and performance improvement have recently emerged as important and interacting research areas in company business management. The purpose of this research is to highlight the role and relevance of knowledge assets as critical factors for improving the performances of a new product development (NPD) process.

Interpreting the NPD as a knowledge‐based process, the paper presents three case studies which provide empirical evidence of the impact on performance of the assessment and management of the knowledge assets at the basis of NPD process.

The outcomes of the research is a set of managerial implications, useful in order to drive managers towards the design and implementation of knowledge assets management initiatives aimed to support the improvement of the NPD performances.

Through an integration of the results of the inductive research, based on multiple case studies, with the main findings taken from a literature review, the paper addresses managerial implications for improving NPD process performances by developing knowledge asset value drivers.

The study builds on existing research in management control (MC) and innovation management. The purpose of this study is to identify patterns in the application of MC instruments which contribute to successful innovation. The application of MC instruments can reduce potential risks and make the new product development (NPD) process more transparent and efficient.

The authors use dyadic data to determine the effect of 58 MC instruments on NPD process stage-specific performance and subsequent innovation and firm success. To provide empirical evidence of each MC instrument’s effectiveness, three importance-performance matrix analyses were conducted that assess the impact of each MC instrument.

The authors identify patterns in the application of MC instruments which contribute to successful innovation activities and the authors determine the impact of MC instruments on NPD performance, innovation performance and firm performance in different stages of the NPD process.

The authors provide knowledge that can be used by managers to review their actual application of MC in the NPD process and to select their instrument set.

The authors contribute to the MC literature by examining data from a cross-industry study on the effects of MC instruments during the NPD process. The authors include a comprehensive set of MC instruments and show how their effect changes between the different stages of the NPD process.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

The purpose of this paper is to examine the direct and indirect effects of CEO transformational leadership on product innovation performance. This research investigates the mechanism between CEO transformational leadership and product innovation performance, to understand the process through which transformational CEOs exert their influence.

This study is a quantitative research. Data were collected from 269 manufacturing firms in Thailand through a mail survey. This research applied a two-step structural equation modeling process.

The results indicate that CEO transformational leadership indirectly affects product innovation performance through an innovation culture, organizational learning, and the new product development (NPD) process. CEO transformational leadership has a strong effect on innovation culture and organizational learning. Organizational learning is strongly associated with the NPD process, which significantly leads to product innovation performance. By integrating the knowledge of leadership and operations management fields, this study helps extend the understanding of how leaders at the top of an organization influence the NPD process and product innovation outcomes.

For practical implications to be more effective, CEOs focusing on product innovation should develop their skills and behaviors of transformational leadership to foster innovation culture and organizational learning, which in turn will affect product innovation performance.

This study makes a contribution to the literature by filling the research gaps proposed by several prior studies and offering a theoretical framework of the relationship between CEO transformational leadership and product innovation performance.

Implementing a performance measurement system (PMS) for research and new product development (R&NPD) is fundamental for supporting decision making but is a challenging task, because effort levels are not measurable and success is highly uncertain. The purpose of this paper is to investigate the design of a PMS in R&NPD in a case study based on the balanced scorecard and Lynch and Cross's pyramidal framework.

The case study regards Whitehead Alenia Sistemi Subacquei that was thought to be a proper company for the empirical analysis for its strong reliance on R&NPD activities, the adoption of a PMS in the R&NPD department and the lack of contributions in the literature that investigate the design of a PMS for R&NPD function in the context of the military industry.

Relevant managerial implications can be drawn: there is the need for different perspectives in measuring performance in an NPD environment, beyond the iron triangle (time, cost and quality); the use of different perspectives/indicators allows tailoring PMS to the specific object of control, coherently with the need to identify specific responsibilities for each measured performance; the adoption of different performance perspectives/indicators should not prevent a holistic view of performance, in which the different performance perspectives/indicators are related with the overall R&NPD economic performance and implementation matters: sharing with people the measurement aim/characteristics make the PMS understandable and acceptable.

Although this subject has been debated in the literature, more study of applications in real contexts is needed.

The principal aim of this study is to investigate the relationship between technological, marketing, organizational and commercialization risk management on new product development (NPD) performance.

Based on questionnaire, the data were collected from a sample of general automotive industry in Iran. Based on theoretical considerations, a model was proposed and descriptive statistic and hierarchical regression were used to measure the relationship between risk management factors and NPD performance.

Data analysis revealed that if organization can amplify their knowledge and information about risk and main factors that affect NPD process, not only can they do their work better but can also increase their ability to predict future happenings that affect performance.

First, due to the relatively small sample size, caution should be exercised when interpreting the results. Second, the data were collected from automotive producer in Iran, which may restrict to some extent generalizability of the findings.

The results suggest that managers should consider more attention to risk management. If managers spread the risk management in all aspects of the NPD project, total performance will be increased and it can develop the probability of NPD success. Also organizations should perform great market research due to best commercialization.

Past researches have presented complete information about NPD process. But identifying and considering the effect of the risk management parameters that are connected to the NPD process were the main thrusts to perform the study. In this paper, based on past research about risk management of NPD, the extra aspect of process that can improve total performance of NPD has been examined.

New product development (NPD) has become critical to the growth and future prosperity of organisations. This research therefore sought to determine the need for performance measurement during the NPD process and reveal measures currently used, where future requirements lie and where improvements can be made.

First, a theoretical model was developed that sought to capture the major factors for measuring NPD performance. This meant reviewing the existing body of work and using a combination of quantitative and qualitative methods to collect information from practitioners. Questionnaires were sent to manufacturing organisations, and ten participants were selected for further investigation. The resulting model describes steps that a company should follow when introducing and managing a performance measurement system for NPD. Five years later, a follow‐up questionnaire was carried out with a similar group of companies, which allowed the authors to test and then refine the model.

The results indicate useful guidelines for managers, including: ensure that transparency of measures at the individual project level is high; move product development performance up the corporate training agenda; and concentrate on the core processes first.

The performance measurement model proposed here can be used as the basis for developing an NPD best practice audit across the company, with a view to benchmarking against suppliers, competitors and/or industry best practice.

To present a measurement framework to capture the importance of the use of knowledge within the new product development (NPD) process.

A literature review enabled 200 product development measures to be compiled. These were categorised into six dimensions: stakeholder contribution, operating context, reuse, invention, exploitation, and NPD performance. Four companies applied selected measures and assessed the cube for its ability to improve measurement and management of their NPD process. This process refined the approach. A web‐based questionnaire (with 130 responses) assessed how a wider population perceived their performance and capability to measure performance in each of the six dimensions.

Respondents consider themselves capable of delivering good products and services, but are less confident in their ability to manage and measure knowledge reuse, invention and exploitation activities.

Full implementation of the measurement cube was not possible. Further research should assess the comprehensiveness, applicability and usefulness of the approach in more detail.

Introduction of the measurement cube and measures in the six dimensions identified would enable companies to go beyond traditional financial measures for their NPD processes and move towards a more performance‐oriented culture.

This paper synthesises the results from many other isolated studies on NPD metrics. In addition, it focuses on the measurement of the NPD process from a knowledge perspective, providing an integrating framework (the measurement cube), which is unique.

The main purpose of this paper is to assess the technological view of apparel new product development (NPD) process through a framework for improving the efficiency of NPD process in Sri Lankan apparel industry.

The study uses literature review, a survey and in-depth interviews of industry experts for data collection. Descriptive analysis and correlation analysis are used to identify the relationship between NPD process performance and Industry 4.0 (I4) technology components.

All technology components are enablers of NPD process, yet the relative importance of technology components varies within the NPD life cycle. Technoware is identified as the most significant, while Humanware component is the least significant for the advancement of I4 technologies in the NPD process.

Despite the novelty of research investigation into NPD process using I4 technologies in apparel industry, it is limited to one geographical location and a small segment of the industry.

This paper assists apparel industry practitioners to better understand and prioritize I4 technology components in the NPD life cycle for their successful adoption and for reaping the benefits.

This research generates new knowledge on the adoption of I4 technologies using industry insights into technology components mapped/aligned with key stages of NPD life cycle.

The purpose of this paper is to examine the role of strategy and concurrent engineering (CE) in driving design for procurement (DFP) actions and results via the role of procurement professionals in new product development (NPD). The strategies of cost leadership, differentiation, and a hybrid approach are compared, and sequential NPD is compared to a CE approach within a DFP context.

ANOVA was applied to survey data collected for a series of items capturing the activities and characteristics relating to procurement for a new product design, as well as the performance of the product compared to other design events in the firm.

Several major findings were supported through the analysis. Product-level strategy played a limited role, at best, in driving the implementation of procurement activities and product performance. In contrast, high CE intensity was shown to improve procurement activity and product performance. The results were analyzed along the three dimensions of sustainability, and were especially strong for both environmental and economic-focused activities and performance.

Managers should work to integrate procurement early into NPD activities, ensure procurement uses strategy to drive decisions, and can use DFP initiatives from this research to implement a DFP program.

This research is one of the first attempts to empirically test design-for (DFX) approaches in NPD. It creates one of the first theoretical frameworks for DFX-related research.