scholarly journals Patent bibliometrics and its use for technology watch

2017 ◽  
Vol 7 (2) ◽  
Author(s):  
Björn Jürgens ◽  
Victor Herrero-Solana
Keyword(s):  
Statistical Analysis ◽  
Patent Analysis ◽  
Competitive Intelligence ◽  
Performance Technology ◽  
Patent Information ◽  
Bibliographic Data ◽  
Intelligence Activity ◽  
Patent Indicators ◽  
Data Visualizations

Technology watch is a methodology for organisations to systematically analyzetechnical information in a continuous way in order to gain insight and competitive advantagein a specific technical domain and is based mainly on statistical analysis of patent information.Patent statistics are commonly based on bibliographic data and generated with bibliometrictechniques. In this paper we describe the differences between patent bibliometrics and classicbibliometrics and propose several patent indicators for technology watch activities which weclassified into four categories: performance, technology, patent value and collaborationindicators. In a case study we undertook a bibliometric patent analysis using the describedgroups of indicators in order to generate a technology watch of nanotechnology for the domainof a whole country (Spain) and explained the different data visualizations we used in order torepresent the indicators. We conclude that statistical analysis of patent information and itsvisualization is a powerful methodology for any competitive intelligence activity centred ontechnology but there are also some limitations to bear in mind when undertaking technologywatch activities using patent information discussed in terms of its timeliness, patentabilitycriteria, sector dependence, quantity vs. quality.

An Integrative Framework for Strategic Intelligence

2010 ◽  
Vol 1 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Mark Xu ◽  
G. Roland Kaye
Keyword(s):  
Literature Review ◽  
Business Intelligence ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Competitive Intelligence ◽  
Integrative Framework ◽  
Strategic Intelligence ◽  
Intelligence Activity ◽  
Insight Into

This paper defines strategic intelligence as a distinct organisational resource that differs from competitive intelligence (CI) and business intelligence (BI). A literature review unfolds a number of deficiencies in intelligence practice and systems. The findings, based on a case study, suggest that there is a lack of systematic scanning, analysing and support for strategic intelligence. An integrative framework is proposed to guide and improve strategic intelligence activity, which comprises of Key External Intelligence (KEI) and internal Key Performance Indicators (KPI). Implementation issues are discussed. The paper develops novel insight into strategic intelligence, and the proposed solution has implications on enhancing managers’ and an organisations’ sensibility and capability by detecting and responding to emerging strategic signals.

Statistical analysis and physicochemical characteristics of groundwater ‎quality parameters: a case study

2021 ◽  
pp. 1-22
Author(s):  
Yaqoob Iqbal Memon ◽  
Sundus Saeed Qureshi ◽  
Imdad Ali Kandhar ◽  
Naeem Ahmed Qureshi ◽  
Sumbul Saeed ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Groundwater Quality ◽  
Physicochemical Characteristics ◽  
Quality Parameters

scholarly journals Evaluation of CO2 emissions and energy use with different container terminal layouts

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muhammad Arif Budiyanto ◽  
Muhammad Hanzalah Huzaifi ◽  
Simon Juanda Sirait ◽  
Putu Hangga Nan Prayoga
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Statistical Analysis ◽  
Energy Use ◽  
Container Terminal ◽  
Container Terminals ◽  
Future Planning ◽  
Container Handling

AbstractSustainable development of container terminals is based on energy efficiency and reduction in CO2 emissions. This study estimated the energy consumption and CO2 emissions in container terminals according to their layouts. Energy consumption was calculated based on utility data as well as fuel and electricity consumptions for each container-handling equipment in the container terminal. CO2 emissions were estimated using movement modality based on the number of movements of and distance travelled by each container-handling equipment. A case study involving two types of container terminal layouts i.e. parallel and perpendicular layouts, was conducted. The contributions of each container-handling equipment to the energy consumption and CO2 emissions were estimated and evaluated using statistical analysis. The results of the case study indicated that on the CO2 emissions in parallel and perpendicular layouts were relatively similar (within the range of 16–19 kg/TEUs). These results indicate that both parallel and perpendicular layouts are suitable for future ports based on sustainable development. The results can also be used for future planning of operating patterns and layout selection in container terminals.

scholarly journals Performance Management for Growth: A Framework Based on EVA

2021 ◽  
Vol 14 (3) ◽  
pp. 102
Author(s):  
Mihaela Brindusa Tudose ◽  
Valentina Diana Rusu ◽  
Silvia Avasilcai
Keyword(s):  
Statistical Analysis ◽  
Performance Management ◽  
Performance Appraisal ◽  
Business Performance ◽  
Reference Model ◽  
Corporate Sustainability ◽  
Economic Value ◽  
Value Added ◽  
Research Perspectives

Some of the constructs in the field of performance management are intuitive or not empirically validated. This study provides a data-driven framework for measuring and improving the performance through synchronized strategies. The ultimate goal was to provide support for increasing business performance. Empirical research materializes in an exploratory case study and a statistical analysis with econometric models. The case study revealed that a company can improve its performance, even in periods of growth, being characterized by consistent investments. The statistical analysis, performed on a restricted sample of companies, confirmed the results that were provided by the case study. The measurement of performance was made by capitalizing on financial and non-financial data precisely to intensify the interest for corporate sustainability. The obtained results, contrary to previous research that showed that economic value added (EVA) is negatively influenced by the increase in invested capital, open up new research perspectives to find out whether, at the industry level, performance appraisal that is based on EVA stimulates the development of a business’s economic capital. The research has a double utility: scientific (by providing an overview of the state of the art in the field of performance management) and practical (by providing a reference model for measuring and monitoring performance).

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