Evaluation of Potential of Innovations: A DEA-Based Application to U.S. Photovoltaic Industry

Jayanthi, Shekhar; Witt, Evan; Singh, Vrijendra

doi:10.1109/tem.2009.2013833

Cited by 31 publications

(14 citation statements)

References 53 publications

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“…Conversely, investment in management innovation may be less costly and time consuming and, thus, easier to implement than the other types of innovation. However, we must highlight that previous literature has pointed out the relationship between process innovation and efficiency (Boone 2000;Jayanthi, Witt, and Singh 2009). The findings about the decrease in process innovation during recession times to a larger extent than product and management innovations is of concern because managing the businesses efficiently and reducing costs through the adoption of new technologies and methods can help manage through economic challenging periods.…”

Section: Discussionmentioning

confidence: 94%

An Investigation of Spanish SME Innovation during Different Economic Conditions

Guijarro¹,

Lema²,

Auken³

2013

Journal of Small Business Management

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This study investigates product, process, and management innovation among a sample of Spanish manufacturing small and medium‐sized enterprises (SMEs) during the current economic downturn and a period of economic growth. Tobit analyses examined whether the level of process, product, and management innovation changed during the recessionary period relative to the expansionary period; and MCO estimations were used to show whether the recession affected the relationship between SME innovation and performance. Three main findings are: (1) innovation among Spanish manufacturing SMEs declined during the recent economic crisis; (2) the type of innovation at Spanish manufacturing SMEs changed during different economic conditions; and (3) innovation was positively associated with firm performance during the economic expansion and recession years. The results demonstrate the importance of adopting innovation into SME strategy over the business cycle. The findings have relevance to SMEs, government policymakers, and providers of consulting services.

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Section: Discussionmentioning

confidence: 94%

An Investigation of Spanish SME Innovation during Different Economic Conditions

Guijarro¹,

Lema²,

Auken³

2013

Journal of Small Business Management

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“…Continuing R&D support offers many opportunities to accelerate cost reductions and performance improvements (Neuhoff, 2005). Examples of important post-deployment R&D programs include wind power in Germany and Denmark (Langniß and Neij, 2004) (see Boxes 11.6 and 11.12), concentrating solar thermal electric generation in California in the 1980s (Lotker, 1991;Cohen et al, 1999) and the US PV manufacturing program in the 1990s and 2000s (R. Mitchell et al, 2002;Jayanthi et al, 2009).…”

Section: Why and When Public Research And Development Is Neededmentioning

confidence: 99%

Policy, Financing and Implementation

Mitchell¹,

Sawin²,

Pokharel³

et al. 2011

Renewable Energy Sources and Climate Change Mitigation

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“…The method provided an objective result that really depends on the criteria that should be met by the wind farm location [20]. The study in Krynki and Szudzialowo communities proved that the planned construction of wind farm would have a positive effect on the production of energy from renewable sources [80][81][82][83][84][85]. The choice of the optimum location of wind turbines was shown to have no negative impact on the natural environment, which is of key importance in the application of sustained technologies, that is to ensure a balance between economic and environmental factors and the needs and expectations of society [86][87][88][89][90][91].…”

Section: Discussionmentioning

confidence: 99%

Wind Energy and Multicriteria Analysis in Making Decisions on the Location of Wind Farms: A Case Study in the North-Eastern of Poland

Łaska¹

2020

Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems

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This chapter presents an investigation of different methods of multicriteria analysis and different rules of proceedings that have to be taken into account for making decision about location of a wind farm with application in the northeastern (NE) Poland. Ten multicriteria analyses were discussed taking into account the main criteria on which they are based on utility functions (MAUT, AHP, and DEMATEL), relationship outranking (ELECTRE, PROMETHEE, and ARROW-RAYNAUD), distances (TOPSIS), and decision support (BORDA ranking methods and their modified and COPELAND). Taking into account of nine criteria that should be met by the location of 15 wind turbines in Krynki and Szudzialowo communities, the main three criteria (C3, C8, and C9) were found to differentiate location of eight wind turbines (T-6-T-13), according to two variants (I and II). The Borda ranking method proved that from among the two variants considered, the more suitable location of wind turbines is second variant W II than first variant W I. Variant W II had a higher altitude of the terrain (C3) and less risk of impact on birds (C8) and bats species (C9) than variant W I.

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Evaluation of Potential of Innovations: A DEA-Based Application to U.S. Photovoltaic Industry

Cited by 31 publications

References 53 publications

An Investigation of Spanish SME Innovation during Different Economic Conditions

An Investigation of Spanish SME Innovation during Different Economic Conditions

Policy, Financing and Implementation

Wind Energy and Multicriteria Analysis in Making Decisions on the Location of Wind Farms: A Case Study in the North-Eastern of Poland

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