Purpose: The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes, by shortening the time to market, improving customers’ product adoption and reducing costs.Design/methodology/approach: The research is based on a two-step approach. First, this research identifies four potential key success factors for organisations to integrate big data in accelerating their product innovation processes. The proposed factors are further examined and developed by conducting interviews with different organisation experts and academic researchers. Then a framework is developed based on the interview outputs. The framework sets out the key success factors involved in leveraging big data to reduce lead times and costs in product innovation processes.Findings: The three determined key success factors are: accelerated innovation process; customer connection; and an ecosystem of innovation. The authors believe that the developed framework based on big data represents a paradigm shift. It can help firms to make new product development dramatically faster and less costly.Research limitations/implications: The proposed accelerated innovation processes demand a shift in traditional organisational culture and practices. It is, though, meaningful only for products and services with short life cycles. Moreover, the framework has not yet been widely tested.Practical implications: This paper points to the vital role of big data in helping firms to accelerate product innovation processes. First of all, it allows organisations to launch new products to market as quickly as possible. Second, it helps organisations to determine the weaknesses of the product earlier in the development cycle. Third, it allows functionalities to be added to a product that customers are willing to pay a premium for, while eliminating features they do not want. Last, but not least, it identifies and then prioritises customer needs for specific markets.Originality/value: The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation process based on big data is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.

Purpose: Fast-changing customer demands and rising requirements in product performance constantly challenge sports equipment manufacturers to come up with new and improved products to stay competitive. Additive manufacturing (AM), also referred to as 3D printing, can enhance the development of new products by providing an efficient approach of rapid prototyping. The purpose of this paper is to analyse the current adoption of AM technologies in the innovation process of the sports industry, i.e. level of awareness; how it is implemented; and it impact on the innovation process. Design/methodology/approach: This work followed a qualitative research approach. After conducting a research of the current literature, this paper presents findings that include case studies from different companies, as well as a semi-structured interview with an outdoor sports equipment manufacturer. Companies from all over the world and of different sizes from under 100 employees to over 70,000 employees were considered in this research. Findings: Literature research shows that AM brings many possibilities to enhance the innovation process, and case studies indicated several obstacles that hinder the technology from fully unfolding. AM is still at the early stage of entering the sports equipment industry and its potential benefits have not been fully exploited yet. The findings generated from the research of real-life practices show that AM provides several benefits when it comes to the innovation process, such as a faster development process, an optimised output, as well as the possibility to create new designs. However, companies are not yet able to enhance the innovation process in a way that leads to new products and new markets with AM. Limitations, including a small range of process able material and an inefficient mass production, still restrain the technology and lead to unused capability. Nevertheless, future prospects indicate the growing importance of AM in the innovation process and show that its advancement paves the way to new and innovative products. Research limitations/implications: Limitations exist in the qualitative approach of this study, which does not include the quantitative verification of the results. Originality/value: Very few studies have been conducted to investigate how firms can harvest AM to increase their innovation capabilities. How firms can use AM to shorten product development time is an emerging topic in business and operations but has not been studied widely. This paper aims to address this gap.