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Korhonen, Pekka; Stenfors, Sari; Syrjänen, Mikko

doi:10.1023/a:1027351816946

Cited by 41 publications

(3 citation statements)

References 19 publications

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“…This model was developed in the original paper of (Charnes et al, 1978) and is called the CCR model. CCR input-oriented models aim to obtain a proportional reduction in the inputs that can produce the current outputs (Bogetoft, 2000;Korhonen et al, 2003). Generally, after obtaining a new technology, any acquirer will be concerned with how to transform this technology in order to create value for the company and ensure financial performance.…”

Section: Dea Model Specifications and Bootstrapping Proceduresmentioning

confidence: 99%

Untitled

2023

Foresight and STI Governance

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It publishes original research articles, offering new theoretical insights and practice-oriented knowledge in important areas of strategic planning and the creation of science, technology, and innovation (STI) policy, and it examines possible and alternative futures in all human endeavors in order to make such insights available to the right person at the right time to ensure the right decision.The journal acts as a scientific forum, contributing to the interaction between researchers, policy makers, and other actors involved in innovation processes. It encompasses all facets of STI policy and the creation of technological, managerial, product, and social innovations. Foresight and STI Governance welcomes works from scholars based in all parts of the world.Topics covered include:• Foresight methodologies and best practices;• Long-term socioeconomic priorities for strategic planning and policy making;• Innovative strategies at the national, regional, sectoral, and corporate levels;• The development of National Innovation Systems;• The exploration of the innovation lifecycle from idea to market;• Technological trends, breakthroughs, and grand challenges;• Technological change and its implications for economy, policy-making, and society;• Corporate innovation management;• Human capital in STI; and many others.The target audience of the journal comprises research scholars, university professors, postgraduates, policy-makers, business people, the expert community, and others who are interested in S&T and innovation analyses, foresight studies, and policy issues. The journal is included into the 1st quartile (Q1) of the Scopus

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Section: Dea Model Specifications and Bootstrapping Proceduresmentioning

confidence: 99%

Untitled

2023

Foresight and STI Governance

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Section: Dea Model Specifications and Bootstrapping Proceduresmentioning

confidence: 99%

Assessment of Interorganizational Technology Transfer Efficiency

Dranev,

Ochirova,

Harms

et al. 2023

Foresight and STI Governance

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In this paper we propose a methodology for assessing the efficiency of technology transfer through merger and acquisition (M&A) and empirically estimate the effect of key factors impacting it. We implement data envelopment analysis (DEA) to calculate an efficiency score of the technology transfer process. The DEA efficiency score integrates a set of outputs (post-merger characteristics of an acquirer) and inputs (pre-merger technological parameters of a target); thus, it provides a multidimensional estimate of efficiency adjusted for the value of the acquired technology base.In the empirical part of this research, we collect data from 434 M&As to study a channel for transferring a technology base across organizational boundaries. Overall, empirical results suggest the adverse outcomes of accumulation of capability to value external technology: the higher the acquirer’s R&D intensity, the lower the efficiency of interorganizational technology transfer. The size of acquirer and relative size of the deal also affect the post-merger outcomes significantly and negatively. At the same time, the estimated effect of such technological characteristics of acquirer as capital expenditure intensity and number of patents is insignificant.

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“…There are many multiobjective DEA approaches in the literature (e.g., Ebrahimnejad & Tavana, 2014;Estellita Lins et al, 2004;Korhonen et al, 2003;Malekmohammadi et al, 2011). The proposed multi-objective FSO DEA approach is of centralized DEA type in the sense that all the DMUs are jointly projected in a single model that imposes the three FSO constraints.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective centralized DEA approach to Tokyo 2020 Olympic Games

Lozano

Villa

2022

Ann Oper Res

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There exist two types of Data Envelopment Analysis (DEA) approaches to the Olympic Games: conventional and fixed-sum outputs (FSO). The approach proposed in this paper belongs to the latter category as it takes into account the total number de medals of each type awarded. Imposing these constraints requires a centralized DEA perspective that projects all the countries simultaneously. In this paper, a multiobjective FSO approach is proposed, and the Weighted Tchebychef solution method is employed. This approach aims to set all output targets as close as possible to their ideal values. In order to choose between the alternative optima, a secondary goal has been considered that minimizes the sum of absolute changes in the number of medals, which also renders the computed targets to be as close to the observed values as possible. These targets represent the output levels that could be expected if all countries performed at their best level. For certain countries, the targets are higher than the actual number of medals won while, for other countries, these targets may be lower. The proposed approach has been applied to the results of the Tokyo 2020 Olympic Games and compared with both FSO and non-FSO DEA methods.

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Cited by 41 publications

References 19 publications

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Assessment of Interorganizational Technology Transfer Efficiency

Multiobjective centralized DEA approach to Tokyo 2020 Olympic Games

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