Categories of Product Innovations – A Prospective Categorization Framework for Innovation Projects in Early Development Phases Based on Empirical Data

Albers, Albert; Gładysz, Bartłomiej; Heitger, Nicolas; Wilmsen, Miriam

doi:10.1016/j.procir.2016.04.197

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…Whether the system is formalized or informal, it should serve a purpose which is reponsible for shaping the system (Crawford et al , 2004). Projects are categorized either for strategic alignment purposes (Cooper et al , 1997; Dye and Pennypacker, 2000; Mikkola, 2001; Albers et al , 2016) considering project prioritization and resource allocation or for capabilities matching and development, in terms of human resources competencies and specific methods and tools (Shenhar and Wideman, 1997; Evaristo and Van Fenema, 1999; Shenhar, 2001; Youker, 2002; Archibald, 2002). Balachandra and Friar (1997) worked on classifying R&D projects for establishing a project success contingency framework.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Data-driven project categorization process for portfolio selection

bok

Berrado

2021

JM2

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Purpose Categorizing projects allows for better alignment of a portfolio with the organizational strategy and goals. An appropriate project categorization helps understand portfolio’s structure and enables proper project portfolio selection (PPS). In practice, project categorization is, however, conducted in intuitive approaches. Furthermore, little attention has been given to project categorization methods in the project management literature. The purpose of this paper is to provide researchers and practitioners with a data-driven project categorization process designed for PPS. Design/methodology/approach The suggested process was modeled considering the main characteristics of project categorization systems revealed from the literature. The clustering analysis is used as the core-computing technology, allowing for an empirically based categorization. This study also presents a real-world case study in the automotive industry to illustrate the proposed approach. Findings This study confirmed the potential of clustering analysis for a consistent project categorization. The most important attributes that influenced the project grouping have been identified including strategic and intrinsic features. The proposed approach helps increase the visibility of the portfolio’s structure and the comparability of its components. Originality/value There is a lack of research regarding project categorization methods, particularly for the purpose of PPS. A novel data-driven process is proposed to help mitigate the issues raised by prior researchers including the inconsistencies, ambiguities and multiple interpretations related to the taken-for-granted categories. The suggested approach is also expected to facilitate projects evaluation and prioritization within appropriate categories and contribute in PPS effectiveness.

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Section: Literature Reviewmentioning

confidence: 99%

“…Archibald (2002) argued that the projects composing each category or subcategory should have similar project life cycle and one unique PM process. Project categorization importance has also been shown for the need to design decision support systems and tools (Jung and Lim, 2007; Albers, 2016; Arthur and Keith, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

A Data-driven project categorization process for portfolio selection

bok

Berrado

2021

JM2

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“…However, the retrospective character of the classification does not allow to analyse whether a successful innovation is based on its technical or economic realization. Albers et al (2016a) therefore proposed a categorization based on the distinction between business to business and business to customer projects for customer relation projects. As a second dimension, the implemented core technology is categorized according to its readiness differing between research, market, industry and the enterprise.…”

Section: Common Approaches To Classify Innovationmentioning

confidence: 99%

“…Possible reference products can also be competitor's products, products from other branches or a company's concepts and prototypes, which had never made it to serial production. A basic distinction can be made between internal reference products of a company, developed within the company itself, and external reference products (Albers et al, 2016a). Based on reference products, the subsystems of a new product are developed by three types of variation according to the PGE approach: carry over variation is the transfer of subsystems with adjustments only, if necessary, at the system interfaces.…”

Section: Pge -Product Generation Engineeringmentioning

confidence: 99%

How to Foster Innovation? Findings and Hypotheses for Collaborations Between Research and Industry

Şahin¹,

Cudok²,

Rapp³

et al. 2018

Proceedings of the DESIGN 2018 15th International Design Conference

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This paper stresses the importance of collaborations to foster innovation and highlights the need for a shared understanding of innovation. To support successful collaboration we outline essential success factors and formulate hypotheses to improve collaborations focussing on SMEs. A model is introduced, allowing the identification of fields and measures to foster innovation. In addition, the concept of Product Generation Engineering is proposed to analyse past and plan future innovation activities. The discussion and hypotheses are addressed to researchers in the field of product engineering.

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“…When viewing innovations, emphasis can be placed on their process nature -a set of interrelated but phased activities (Rametsteiner & Weiss, 2006;Oliviera & Rozenfeld, 2010;Riel et al, 2013;Albers et al, 2016). The subject of the innovation process is to give a specific form to the idea generated, which is then materialised in a new or improved product (commodity or service), the main goal being the innovation to reach the market and find successful realisation there, after it has passed through various phases (Belliveau et al, 2002;Chang et al, 2011;Geissdoerfer et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Investigating factor interactions in formalising the process of developing new products

Stoycheva¹,

Antonova²

2018

Serb J Management

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The creation of new product development programmes in industrial organisations, as a process involves a system of activities for defining, planning and implementing projects, with a view to successful market realisation. The success of a programme and its associated projects is not unambiguous (depends to some extent on the participants' point of view) and can be related to the achievement of predetermined goals and constraints, customer satisfaction, organisational knowledge, etc. For the respective industrial company, the planning process is more important than the plan itself, because hypotheses are checked; comparable alternatives are analysed; the future consequences of one or another of today's decisions are investigated; the necessary changes to the prerequisites are made. The survey was conducted in 560 medium and large enterprises operating in the manufacturing industry of Bulgaria. The aim is to establish independent factor variables and their value impacts on the effective management of the process of developing new products related to the dependent variable "formalisation or use of officially documented procedures describing the new product development (NPD) process". In order to meet the target, a quantitative study was carried out by applying a correlation and regression analysis to search for relationships and dependences between the variables examined. A regression model is presented for the dependent variable studied. The results and recommendations obtained can be used to improve the management of the product innovation process.

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Categories of Product Innovations – A Prospective Categorization Framework for Innovation Projects in Early Development Phases Based on Empirical Data

Cited by 9 publications

References 16 publications

A Data-driven project categorization process for portfolio selection

A Data-driven project categorization process for portfolio selection

How to Foster Innovation? Findings and Hypotheses for Collaborations Between Research and Industry

Investigating factor interactions in formalising the process of developing new products

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