Identifying Management of Technology and innovation (MOT) and Technology Entrepreneurship (TE) centers of excellence

2021 ◽  
Vol 173 ◽  
pp. 121075
Author(s):  
Robert Giasolli ◽  
Dr. Aard Groen ◽  
Robert Haak ◽  
Martin Pieck
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Philein Hafidz Al Kautsar ◽  
Nur Budi Mulyono

PurposeThe purpose of this study is to develop an ecosystem-based DRR concept and explore how far the concept can be applied in a disaster-management context.Design/methodology/approachThe authors used the ecosystem concept established by Tsujimoto et al. (2018) as the foundation of this study. They then conducted a literature search to adapt the ecosystem concept to fit the context of disaster management. Thus, they developed an ecosystem-based DRR concept. They used a case study method to test whether the adapted ecosystem concept can be applied to examine a real-life case of disaster management. For data collection, they used qualitative methods; a semi-structured interview with practitioners and other actors involved in disaster-management practice as well as document review. For data analysis, they used thematic analysis to find themes within the data.FindingsBy using this concept, the authors found some actors fulfil their role in the ecosystem toward the DRR effort, some actors are ill-equipped, and some actors are actively working against DRR effort. There are also implementation challenges, as numerous programs are only halfway done due to a lack of resources. However, the main problems of this disaster can be summarized into three categories: technical problems, socio-economic problems and law-enforcement problems. All three problems need to be addressed altogether because even neglecting only one problem would lead to a flawed solution.Research limitations/implicationsOne of the limitations is the respondents' bias. This research aims to find out their part, or more accurately what they are representative of, regarding disaster management for forest and land fire case. As some of the questions may reveal unflattering action or may even hurting their credibility, respondents might not have provided an entirely honest answer. Another limitation is the differing respondents' roles within the disaster. As each of the respondents is a representative of an actor in disaster management, they all have different traits. Thus, this situation makes it challenging to produce similar quality and quantity data for each of them.Practical implicationsAs concluded, the ecosystem-based DRR concept can be used as a framework to examine a real-life case of disaster management. It can be utilized to explain roles, relationships and the whole network of disaster-management actors. The authors hope that this concept could help decision-makers in designing their policies.Social implicationsThe main problems of this disaster can be summarized into three categories: technical problems, socio-economic problems and law-enforcement problems. All three problems need to be addressed altogether for even neglecting only one problem would lead to a flawed solution. However, the yearly reoccurrences of fires and the widespread of illegal and dangerous practice, slash and burn agriculture, are evidence that the government mishandles the other two problems. There is a need for reform within legal institutions and government's treatment regarding local farmers. There is a need for trust, cooperation and synergy between disaster-management actors.Originality/valueThe ecosystem concept has been used widely in the field of management of technology and innovation. However, while ecosystem concept is commonly used in the management of technology and innovation, it is rarely used in a disaster-management context.


Author(s):  
Torben Tambo

Fashion retail is recognised for its strong capabilities in product innovation, while also having the potential to improve the governance of technology-based process innovation. This chapter proposes a model perspective in management of technology and innovation, including special requirements of fashion retailing. In particular, this chapter discusses the context of fashion retailing understood as product and brand-based characteristics. A case study-based methodology is then used to guide an analysis of antecedents and (expected) outcome of fashion retail innovation. IT-based innovation dominates, but innovation is suggested to include a broader scope of technologies. Contrary to innovation maturity models, this chapter proposes to consider innovation as a continuous refinement between dynamic capabilities and absorptive capacity where technologies must be adapted to the special characteristics of the fashion retail industry.


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