scholarly journals INTEGRATION BETWEEN RESEARCH AND DEVELOPMENT: A DYNAMIC CAPABILITIES PERSPECTIVE

2018 ◽  
Vol 58 (5) ◽  
pp. 460-474
Author(s):  
FELIPE PLANA MARANZATO ◽  
MÁRIO SERGIO SALERNO

ABSTRACT Integration between research (R) and development (D) activities when they are organized separately in companies as specific departments is crucial for innovation performance and for the firm's adaptation and growth. Although this is of utmost importance, paradoxically, very few studies have focused on it. Considering this integration as a dynamic capability, through a systematic literature review on integration models and dynamic capabilities, we discuss distinctive views of the concept and the ways in which they can be applied. This study leads to the systematization of this knowledge field and to the identification of gaps in the literature on the integration between R and D. A research agenda is also proposed.

2017 ◽  
Vol 25 (1) ◽  
pp. 30 ◽  
Author(s):  
Klara-Marie Gremme ◽  
Veit Wohlgemuth

Purpose. Although the dynamic capability concept has been one of the most researched topics in strategic management in recent years, it is not commonly defined in theory and hardly applied in practice. For this reason, the authors decided to re-evaluate dynamic capability literature. Design/Method/Approach. Systematic literature review. Findings. Various discrepancies concerning the very nature of dynamic capabilities and their impact on firm performance are identified that need to be resolved. Theoretical implications. For the purpose of enabling more precise prediction, it is recommended to contrast various dynamic capability concepts, reducing the number and increasing the predictability of the contingencies involved. It is advised to develop these scenarios based on the various seminal papers on dynamic capabilities, grounded in empirical research and supported by specific examples. Practical implication. It is concluded that there is a generalized version of the dynamic capability concept that allows one to understand the rough outline of dynamic capability theory. However, it is noted that this generalized, contingency-based version compromises the prediction of specific dynamic capability deployment outcomes, therefore hindering dynamic capabilities in gaining practical application. Originality/Value. Complementary and opposing views on the characteristics, causalities and contingencies of the dynamic capability construct are combined and contrasted respectively. Research limitations/Future research. The paper highlights avenues for further research by contrasting, rather than merging, different perspectives. Paper type – сonceptual.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Niklaus Leemann ◽  
Dominik K. Kanbach

Purpose This paper aims to categorize and organize dynamic capabilities that have been inductively identified in empirical research into a comprehensive taxonomy. Thus, it addresses calls in the literature for a better understanding of dynamic capabilities and integration of scattered empirical findings into theory. Design/methodology/approach A systematic literature review approach was adopted, with a total of 34 articles published between August 2007 and April 2020, from which 240 idiosyncratic dynamic capabilities were identified. The taxonomy was constructed using the Gioia-method. Findings The main finding is a three-level taxonomy of dynamic capabilities (DC). Level DC-1 is based on the existing triad of sensing, seizing and transforming. Level DC-2 is newly introduced to the literature by this study, consisting of 19 dynamic sub-capabilities that categorize and organize all 240 idiosyncratic dynamic capabilities in the sample (level DC-3). The taxonomy supports the existing claim that dynamic capabilities are common in key features and idiosyncratic in details. Moreover, theoretical connections to business model innovation and ambidexterity are indicated. Practical implications This study integrates scattered empirical findings of specific dynamic capabilities and translates them to a practitioner audience. The taxonomy allows the strategic manager to understand what they specifically are and, thus, assess the dynamic capability endowment of the firm which allows deploying, developing and fostering them. Originality/value The taxonomy provides a comprehensive and tangible picture of what dynamic capabilities look like in practice. It improves existing knowledge and understanding by bridging the rigor-relevance gap between rather rigorous conceptual literature and rather relevant empirical research as it integrates them. As such, it can serve as a “map” of dynamic capabilities for scholars and practitioners.


Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 49
Author(s):  
Guilherme F. Frederico

The main purpose of this paper is to present what the Industry 5.0 phenomenon means in the supply chain context. A systematic literature review method was used to get evidence from the current knowledge linked to this theme. The results have evidenced a strong gap related to Industry 5.0 approaches for the supply chain field. Forty-one (41) publications, including conference and journal papers, have been found in the literature. Nineteen (19) words, which were grouped in four (4) clusters, have been identified in the data analysis. This was the basis to form the four (4) constructs of Industry 5.0: Industry Strategy, Innovation and Technologies, Society and Sustainability, and Transition Issues. Then, an alignment with the supply chain context was proposed, being the basis for the incipient Supply Chain 5.0 framework and its research agenda. Industry 5.0 is still in an embryonic and ideal stage. The literature is scarce and many other concepts and discoveries are going to emerge. Although this literature review is based on few available sources, it provides insightful and novel concepts related to Industry 5.0 in the supply chain context. Moreover, it presents a clear set of constructs and a structured research agenda to encourage researchers in deploying further conceptual and empirical works linked to the subject herein explored. Organizations’ leadership, policymakers, and other practitioners involved in supply chains, and mainly those currently working with Industry 4.0 initiatives, can benefit from this research by having clear guidance regarding the dimensions needed to structurally design and implement an Industry 5.0 strategy. This article adds valuable insights to researchers and practitioners, by approaching the newest and revolutionary concept of the Industry 5.0 phenomenon in the supply chain context, which is still an unexplored theme.


2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.


2014 ◽  
Vol 21 (3) ◽  
pp. 368-384 ◽  
Author(s):  
Lidija Breznik ◽  
Robert D. Hisrich

Purpose – The purpose of this paper is to provide insights into the relationship between dynamic capabilities and innovation capabilities. It links dynamic capability with innovation capability and indicates the ways they can be related. Design/methodology/approach – The relationships between dynamic and innovation capability were investigated through a systematic literature review. Findings – The review indicates that common characteristics exist between of the both fields, which demonstrate six relationships. Additionally, findings show some inconsistencies and even contradictions. Originality/value – In this paper, the authors have compared dynamic capabilities, a relatively new approach in the field of strategic management, with innovation capabilities, a widely recognised crucial domain for sustained competitiveness. Since both areas address issues that are essential to today's environment, future research should seek to clarify both concepts, by undertaking some new research and developing comprehensive and unambiguous framework.


Sign in / Sign up

Export Citation Format

Share Document