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1 – 2 of 2Seyedeh Khadijeh Taghizadeh, Syed Abidur Rahman, Davoud Nikbin, Malgorzata Radomska and Shaghayegh Maleki Far
This study aims to investigate how dynamic capabilities, i.e. sensing, learning, integrating and coordinating trigger sustainable innovation performance. It also examines the…
Abstract
Purpose
This study aims to investigate how dynamic capabilities, i.e. sensing, learning, integrating and coordinating trigger sustainable innovation performance. It also examines the direct and moderating role of environmental turbulence towards the sustainable innovation performance of small and medium-sized enterprises (SMEs).
Design/methodology/approach
The data were collected through a cross-sectional survey of 169 SMEs in Oman and analysed through structural equation modelling using SmartPLS software.
Findings
Findings of this study reveal that the sustainable innovation performance of SMEs is greatly influenced by the synergy of learning, integrating and coordinating capabilities. Notably, among these capabilities, coordinating capability emerges as the most important capability for SMEs with a primary emphasis on fostering both human and organizational well-being. However, this research reveals that building dynamic capabilities alone might not be sufficient to address social, ecological and economic sustainability criteria, and SMEs may need to extend their view beyond internal processes and integrate various environmental contingencies into their approaches while focusing on sustainable innovation performance.
Practical implications
This research is useful for business managers while allocating resources in their business efficiently and effectively to achieve sustainable innovation performance. It also highlights that SMEs need to integrate various environmental contingencies into their approaches while focusing on sustainable innovation performance.
Originality/value
To the best of the authors’ knowledge, this study is one of the first to contribute to SME scholarship by mainly investigating the effect of specific four types of dynamic capabilities on sustainable innovation performance in a turbulent environment. This study is likely to contribute to the SMEs addressing sustainability innovation performance and develop capabilities to be sustainable in a turbulent environment.
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Dohyoung Kim, Sunmi Jung and Eungdo Kim
The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative…
Abstract
Purpose
The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.
Design/methodology/approach
The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.
Findings
The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.
Originality/value
The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.
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