USING CATEGORICAL DEA TO ASSESS THE EFFECT OF SUBSIDY POLICIES AND TECHNOLOGICAL LEARNING ON R&amp;D EFFICIENCY OF IT INDUSTRY

Yeh, Li Ting; Chang, Dong Shang

doi:10.3846/tede.2019.11411

Cited by 11 publications

(14 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…, 2018; Karadyi and Ekinci, 2019; Lee et al. , 2020; Yeh and Chang, 2020). Specifically, based on the context of the development of network efficiency measurement models by Färe and Grosskopf (2000), and incorporating the categorical variables in the form of opinions of individuals who are responsible for the R&D departments of 77 pharmaceutical companies in Spain, our study has provided answers to both research questions, measuring the efficiency of two interconnected phases in the R&D processes: on the one hand, the KPP, and on the other hand, the KCP (Guan and Chen, 2012; Mavi et al.…”

Section: Discussionmentioning

confidence: 99%

“…Guan and Chen (2010) considered that the potential patents which have not been commercialized are surplus inputs in the second stage of DEA. Therefore, in the KPP, which is the first phase of the process in the pharmaceutical companies, it is important to consider the patents that result from the generation of knowledge, since this will allow increasing the results in the KCP, which is the second phase (Tyagi et al, 2018;Wang et al, 2020;Yeh and Chang, 2020).…”

Section: Relationship Between Kpp and Kcp: Business Alliances And Pat...mentioning

confidence: 99%

“…For this, we propose a network relationship between the two phases, introducing categorical variables (Karadyi and Ekinci, 2019; Lee et al. , 2020; Yeh and Chang, 2020) that are intensified through patents and alliances between companies in the pharmaceutical sector, since it has been shown that these variables influence business results (Nicholson et al. , 2003; Gilding et al.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Knowledge production and commercialization from R&D: the pharmaceutical sector

Valderrama

Sánchez-Ortiz

Mulero-Mendigorri

2023

View full text Add to dashboard Cite

PurposeThe objective of this work is to demonstrate the relationships between the two main processes of research and development (R&D) activities: the knowledge generation phase (KPP) and the knowledge commercialization, or transfer, phase (KCP), in a sector that is intensive in this type of activity, such as the pharmaceutical sector. In addition, within the framework of the general objective of this work, the authors propose two other objectives: (1) make advances in network efficiency measurement models, and (2) determine the factors associated with efficiency in the KPP and in the KCP in companies of the pharmaceutical sector in Spain.Design/methodology/approachA Network Data Envelopment Analysis (NDEA) model (Färe and Grosskopf, 2000) with categorical variables (Lee et al., 2020; Yeh and Chang, 2020) has been applied, and a sensitivity analysis of the obtained results has been performed through a DEA model of categorical variables, in accordance with the work of Banker and Morey (1986), to corroborate the results of the proposed model. The sample is made up of 77 companies in the pharmaceutical sector in Spain.FindingsThe results obtained point to a greater efficiency of pharmaceutical companies in the KPP, rather than in the KCP. Furthermore, the study finds that 1) alliances between companies have been the accelerating factors of efficiency in the KCP (but patents have slowed this down the most); 2) the quality of R&D and the number of R&D personnel are the factors that most affect efficiency in the KPP; and 3) the quality of R&D again, the benefits obtained and the position in the market are the factors that most affect efficiency in the KCP.Originality/valueThe authors have not found studies that show whether the efficiency obtained by R&D-intensive companies in the KPP phase is related to better results in terms of efficiency in the KCP phase. No papers have been found that analyse the role of alliances between R&D-intensive companies and patents, as agents that facilitate efficiency in the KCP phase, covering the gap in the research on both problems. Notwithstanding, this work opens up a research path which is related to the improvement of network efficiency models (since it includes categorical variables) and the assessment of the opinions of those who are responsible for R&D departments; it can be applied to decision-making on the aspects to improve efficiency in R&D-intensive companies.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Relationship Between Kpp and Kcp: Business Alliances And Pat...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Knowledge production and commercialization from R&D: the pharmaceutical sector

Valderrama

Sánchez-Ortiz

Mulero-Mendigorri

2023

View full text Add to dashboard Cite

show abstract

“…In the present-day, technology-based companies are revolutionising the markets of products, services and finances, which is the greatest exponent of an economy that is undergoing complete transformation. The information technology (IT) sector is characterised by a constantly growing business volume and by contracting personnel (Asikainen & Mangiarotti, 2016;Cid-López et al, 2015;Yeh & Chang, 2020). Generally speaking, the business philosophy that their companies adopt influences other sectors in the economy and their business models (Li et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Modelling It Brand Values Supplied by Consultancy Service Companies: Empirical Evidence for Differences

Alcaide

Olmeda

Poza

2020

Technological and Economic Development of Economy

View full text Add to dashboard Cite

Brands are the most precious intangible companies’ assets. Company managers need to know their brand value and the aspects determining it. As no transparent brands market exists, the main objective of this study was to model brand values that the world’s main valuation consultants publish. The obtained results indicate that 80% of the value of these brands is accounted for by both the net results of the companies that own brands and their value on the Stock Exchange. These results allow brand values to be estimated using quantitative and objective information by simple methods, unlike those used by valuation consultants. Moreover, one temporal analysis and another for different industries confer these outcomes consistency.

show abstract

“…Performance measurements constitute an important task in strategic planning, and they are performed to better understand the various resource inputs and economic outputs of a decision-making unit (DMU), such as an organization or a firm, and to plan an improvement strategy [8,9]. Among these measures, data envelopment analysis (DEA), which is a mathematical programming approach, has been widely used to measure the relative performances of DMUs, such as industrial sectors (e.g., in [2,10,11]) or departments (e.g., in [12]).…”

Section: Introductionmentioning

confidence: 99%

Using Weighted Data Envelopment Analysis to Measure Occupational Safety and Healthy Economic Performance of Taiwan’s Industrial Sectors

Yeh

2020

Mathematics

Self Cite

View full text Add to dashboard Cite

The socioeconomic costs of occupational accidents represent an important factor in the safety and healthy development of a country’s economy. Insurance payments (which cover workplace incidents, such as wounds or illness, disability and fatality) can be considered a proxy for the socioeconomic cost of occupational accidents. Occupational accidents in different industries cause important variations in these three socioeconomic costs—for example, in their frequency and severity. One of the most commonly used mathematical programming approaches that analyze the performance of inputs, economic outputs and occupational accidents is data envelopment analysis (DEA), which has also been used in recent years to estimate the relative performance related to occupational injuries. This study measures the safety and healthy economic performance of Taiwan’s 17 industrial sectors by incorporating the varying importance of the three socioeconomic costs of occupational accidents into a weighted DEA Model. The empirical results demonstrate that integrating the varying importance of the three socioeconomic costs of occupational accidents in the evaluation of safety and healthy economic performance is very important. To improve the occupational safety and healthy economic performance of Taiwan’s main industrial sectors, efforts should focus on reducing fatalities, which are very costly. These findings could help Taiwan’s policy makers effectively improve their safety and healthy economic performance, based on the specific context of each industry, especially the mining and quarrying industry.

show abstract

USING CATEGORICAL DEA TO ASSESS THE EFFECT OF SUBSIDY POLICIES AND TECHNOLOGICAL LEARNING ON R&D EFFICIENCY OF IT INDUSTRY

Cited by 11 publications

References 47 publications

Knowledge production and commercialization from R&D: the pharmaceutical sector

Knowledge production and commercialization from R&D: the pharmaceutical sector

Modelling It Brand Values Supplied by Consultancy Service Companies: Empirical Evidence for Differences

Using Weighted Data Envelopment Analysis to Measure Occupational Safety and Healthy Economic Performance of Taiwan’s Industrial Sectors

Contact Info

Product

Resources

About