scholarly journals Sustainable Knowledge Management and Its Impact on the Performances of Biotechnology Organizations

2019 ◽  
Vol 11 (2) ◽  
pp. 359 ◽  
Author(s):  
Alexandra Zbuchea ◽  
Florina Pînzaru ◽  
Mihail Busu ◽  
Sergiu-Octavian Stan ◽  
Alina Bârgăoanu
Keyword(s):  
Knowledge Management ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Management Strategies ◽  
Series Data ◽  
Growth Strategies ◽  
Knowledge Based ◽  
Capital Productivity ◽  
Statistical Hypotheses ◽  
Biotechnology Sector

Starting from the findings of specialized studies on knowledge management in the field of biotechnology, this paper aims to present the factors that underline sustainable performances of Romanian biotechnology organizations. Particularly, descriptive analysis of these factors has outlined a picture of the current situation of biotechnology in Romania. The design of an exploratory knowledge management model for organizations in the biotechnology sector was achieved and validated through a panel data model. Starting from a model of growth based on productivity, capital inflow, and human capital, three statistical hypotheses were validated by a time series data panel regression model using EViews 9.0 software. The data were collected for the enterprises active in the field of biotechnology for a period of nine years. The paper highlights the fact that the economic performance of biotechnology organizations is determined by the flow of capital, productivity, and the workforce. Knowledge-based growth strategies are essential in the econometric model presented. Nevertheless, in terms of knowledge management strategies, the sector has not reached its maturity, and full sustainability is not a norm.

Descriptive analysis and earthquake prediction using boxplot interpretation of soil radon time series data

2019 ◽  
Vol 154 ◽  
pp. 108861 ◽  
Author(s):  
Aleem Dad Khan Tareen ◽  
Malik Sajjad Ahmed Nadeem ◽  
Kimberlee Jane Kearfott ◽  
Kamran Abbas ◽  
Muhammad Asim Khawaja ◽  
...  
Keyword(s):  
Time Series ◽  
Earthquake Prediction ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Series Data ◽  
Soil Radon

Knowledge-Based Strategies and Systems

2011 ◽  
pp. 1-62 ◽  
Author(s):  
Meir Russ ◽  
J. Greg Jones ◽  
Jeannette K Jones
Keyword(s):  
Knowledge Management ◽  
Life Cycle ◽  
Early Stage ◽  
Management Strategies ◽  
Academic Research ◽  
Business Strategies ◽  
Knowledge Based Systems ◽  
Academic Literature ◽  
Knowledge Based ◽  
New Research

Knowledge management strategies and implementation of knowledge-based systems have gained importance over the last decade. However, many organizations are not able to develop “winning” knowledge-based strategies and others waste signifi- cant monies when the knowledge-based systems they invest in fail to produce the desired results. To address the challenges faced by these organizations, a recently developed framework for strategic dilemmas was proposed by Russ, Jones, and Fineman (2006) to aid in the development of knowledge-based (KB) strategies. The framework (C3EEP) identifies six dilemmas that organizations should balance when considering their knowledge management and business strategies. Examples of such dilemmas include the balance between concealment (secrecy) vs. transparency, complementary vs. destroying, and the balance between exploitation and exploration. The framework compliments the six stages in the life cycle of KB systems (KBS) as identified by the academic literature that discusses the development and implementation of KBS from the information systems (IS) perspective (e.g., Lytras, Pouloudi, & Poulymenakou, 2002; Nissen, Kamel, & Sengupta, 2000). This interaction/ linkage between KB strategies and systems is crucial for the success of both. Academic research supports the complex relationship between the two. However, there is no conclusive formula for managing this relationship to achieve success. The purpose of this study will be to identify crossovers between the two streams (strategy and systems) of research by using a systematic literature review. For example, is the academic literature focusing mostly on the learning aspect (late stage in the life cycle) of the exploration strategy while largely ignoring the discussion about attracting the appropriate knowledge (early stage in the life cycle) for this kind of strategy? Or does the academic literature focus on populating a KBS with appropriate complementary knowledge while largely ignoring the dynamics of the transfer of destroying knowledge (learning aspect)? The authors hope to accomplish three goals in this study: (1) to continue the validation of the two (C3EEP and KBS life cycle) frameworks; (2) to identify new research opportunities; and (3) to focus managerial attention on areas of importance in KB strategies and systems that lack depth of academic discussion.

scholarly journals Parameter uncertainty of a dynamic multispecies size spectrum model

2016 ◽  
Vol 73 (4) ◽  
pp. 589-597 ◽  
Author(s):  
Michael A. Spence ◽  
Paul G. Blackwell ◽  
Julia L. Blanchard
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Size Structure ◽  
Management Strategies ◽  
Optimization Methods ◽  
Series Data ◽  
Size Spectrum ◽  
Aquatic Communities ◽  
The North ◽  
Spectrum Model

Dynamic size spectrum models have been recognized as an effective way of describing how size-based interactions can give rise to the size structure of aquatic communities. They are intermediate-complexity ecological models that are solutions to partial differential equations driven by the size-dependent processes of predation, growth, mortality, and reproduction in a community of interacting species and sizes. To be useful for quantitative fisheries management these models need to be developed further in a formal statistical framework. Previous work has used time-averaged data to “calibrate” the model using optimization methods with the disadvantage of losing detailed time-series information. Using a published multispecies size spectrum model parameterized for the North Sea comprising 12 interacting fish species and a background resource, we fit the model to time-series data using a Bayesian framework for the first time. We capture the 1967–2010 period using annual estimates of fishing mortality rates as input to the model and time series of fisheries landings data to fit the model to output. We estimate 38 key parameters representing the carrying capacity of each species and background resource, as well as initial inputs of the dynamical system and errors on the model output. We then forecast the model forward to evaluate how uncertainty propagates through to population- and community-level indicators under alternative management strategies.

scholarly journals ANALISIS PERMINTAAN TELUR DI KABUPATEN SLEMAN (Analysis of Egg Demand in Sleman District)

2010 ◽  
Vol 9 (2) ◽  
pp. 197-209
Author(s):  
Ani Suryani
Keyword(s):  
Time Series Data ◽  
Descriptive Analysis ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Income Per Capita ◽  
Egg Consumption ◽  
Per Capita

The objectives of this research are to determine factors affecting egg demand during the period of 1991 to 2007, and to examine the prospect of egg as inferior, normal or superior commodity in Sleman District. The research location is determined purposively. The method used in this research is descriptive analysis with time series data (1991-2007). This study uses demand function approach by applying multiple regression model estimated using OLS (ordinary least square).The result of estimation shows that the partial demand of egg in Sleman District is caused by the price of fish, rice, population, income per capita and economical crisis. The elasticity of egg demand toward price elasticity is inelastic in the scale of 0.59. Egg in this district is categorized as a normal goo. This conclusion is based on finding that income per capita is positively correlated toward egg demand with the coefficient of regressionof 0.36. Egg consumption at Sleman district from time to time tends to increase coinciding with the growth of income per capita.Key words : Demand, Egg, Elasticity, Forecasting, Normal Good. 

scholarly journals Incidence forecasting of new invasive pest of coconut rugose spiraling whitefly (Aleurodicus rugioperculatus) in India using ARIMAX analysis

2021 ◽  
Vol 23 (2) ◽  
pp. 194-199
Author(s):  
K.ELANGO ◽  
S. JEYARAJAN NELSON ◽  
P.DINESHKUMAR
Keyword(s):  
Tamil Nadu ◽  
Prediction Models ◽  
Time Series Data ◽  
Management Strategies ◽  
Climatic Conditions ◽  
Invasive Pest ◽  
Series Data ◽  
Maximum Temperature ◽  
Weather Factors ◽  
Extent Of Damage

The rugose spiraling whitefly (RSW), Aleurodicus rugioperculatus Martin is a new invasive pest occurring in several crops including coconut since 2016 in India from Tamil Nadu, Karnataka, Kerala and Andhra Pradesh. The population dynamics of new invasive whitefly species, A. rugioperculatus study indicated that RSW was found throughout the year on coconut and the observation recorded on weekly interval basis shows that A. rugioperculatus population escalated from the first week of July 2018 (130.8 nymph/ leaf/ frond) reaching the maximum during the first week of October (161.0 nymph/ leaf/ frond) which subsequently dwindled to a minimum during April. Due to variation in the agro-climatic conditions of different regions, arthropods show varying trends in their incidence also in nature and extent of damage to the crop. Influence of weather parameters on rugose spiralling whitefly incidence is lacking, which is essential for developing management strategies. The forecasting model to predict rugose spiralling whitefly incidence in coconut was developed by ARIMAX model of weekly cases and weather factors. In exploring different prediction models by fitting covariates to the time series data, ARIMA (0,2,1) with Maximum temperature was found best model for predicting the rugose  spiralling whitefly incidence and all covariates were found non-significant predictors except maximum temperature.

scholarly journals Analysis of a long-term Forest Accountancy Network to Support Management and Controlling

2018 ◽  
Vol 3 (1) ◽  
pp. 155-162 ◽  
Author(s):  
Markus Dög ◽  
Johannes Wildberg ◽  
Bernhard Möhring
Keyword(s):  
Decision Making ◽  
Time Series ◽  
Time Series Data ◽  
Management Strategies ◽  
Series Data ◽  
Forest Economics ◽  
Private Forest ◽  
Forest Landowners ◽  
Forest Enterprises

Abstract Multifunctional forestry in Germany is characterized by long production periods and complex biological-technical processes. Private forest enterprises are complex systems which are closely interwoven with the economic environment. To ensure their economic success, forest landowners need to take the economic development into consideration and adapt their management strategies. Management accounting is an important source for information needed to fulfil main tasks of accounting that help to manage forest enterprises: ‘description’, ‘explanation’ and ‘decision making’. To get general data, long time series data, taken from Forest Accountancy Networks (FAN), can be analysed. For more than 45 years, data from the FAN Westfalen-Lippe in Germany has been collected and analysed by the department of Forest Economics and Forest Management at the University of Göttingen. The long-term development and adaptation strategies of defined groups of private forest enterprises can be illustrated using this data. These valuable time series can support decision-making processes for private forest landowners and provide tools for forest policy. The data shows that private forest enterprises, with spruce as the dominating tree species, have performed above average in terms of operating revenues and profit margins, but are also more susceptible to calamities resulting in higher involuntary timber harvests.

ANALISIS PROSPEK PERKEMBANGAN MODAL DAN TENAGA KERJA PADA INDUSTRI KECIL DI KABUPATEN SIDENRENG RAPPANG

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Agus Syam
Keyword(s):  
Time Series Data ◽  
Small And Medium Enterprises ◽  
Descriptive Analysis ◽  
Series Data ◽  
Small Scale ◽  
Quantitative Descriptive Analysis ◽  
Capital Growth ◽  
Small Industry ◽  
Small Industries ◽  
Small Scale Industries

Abstract Analysis of Prospect Capital Growth and Employment in Small Industries in The District Sidenreng Rappang. This research was conducted to answer the question "what are the prospects of capital growth and labor in the District Small Industries Sidenreng Rappang 5 (five) years from (2012-2016)". Thus, this study aims to determine how the prospect of the development of capital and labor in the District Small Industries Sidenreng Rappang 5 (five) years from (2012-2016). To that end, this study expected to be useful: (1) provide information for Local Government and the Department of Cooperatives and Small and Medium Enterprises in order to foster small-scale industries in the district Sidenreng Rappang, (2) as a reference material other researchers who study small-scale industries in the district Sidenreng Rappang. This research is a descriptive study using data time series (data year) only selected sub-populations in 2007-2011 for the development of capital and labor. Data collection techniques used are; documentation, interviews, and observations. Analysis of the data used, namely: qualitative and quantitative descriptive analysis. Result of research show the; 1) Capital developments in small industry in the District Sidenreng Rappang past five years (2007-2011) has increased by an average of 10.31 percent annually, 2) The development of labor in small-scale industries in the district Sidenreng Rappang past five years (2007-2011) has increased by an average of 1.04 percent annually, and 3) Development prospects of capital and labor in small-scale industries in the district Sidenreng Rappang for the coming five years (2012-2016) amounted to 3.93 percent.Kata Kunci: Modal, Tenaga Kerja dan Industri Kecil

Knowledge Acquisition from Rough Sets Using Merged Decision Rules

2018 ◽  
Vol 22 (3) ◽  
pp. 404-410
Author(s):  
Yoshiyuki Matsumoto ◽  
Junzo Watada ◽  
◽  
Keyword(s):  
Time Series ◽  
Knowledge Acquisition ◽  
Decision Rule ◽  
Rough Sets ◽  
Time Series Data ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Series Data ◽  
Economic Time Series ◽  
Knowledge Based

Rough set theory was proposed by Z. Pawlak in 1982. This theory can mine knowledge based on a decision rule from a database, a web base, a set, and so on. The decision rule is used for data analysis as well as calculating an unknown object. We analyzed time-series data using rough sets. Economic time-series data was predicted using decision rules. However, there are cases where an excessive number of decision rules exist, from which, it is difficult to acquire knowledge. In this paper, we propose a method to reduce the number of decision rules by merging them. Similar to how it is difficult to acquire knowledge from multiple rules, it is also difficult to acquire knowledge from rules with a large number of condition attributes. We propose a method to reduce the number of condition attributes and thereby reduce the number of rules. We analyze time-series data using this proposed method and acquire knowledge for prediction using decision rules. We use TOPIX and the yen–dollar exchange rate as knowledge-acquisition data. We propose a method to facilitate knowledge acquisition by merging rules.

The Impact of Acquisitions on Innovation: Poison Pill, Placebo, or Tonic?

2005 ◽  
Vol 69 (1) ◽  
pp. 114-130 ◽  
Author(s):  
Jaideep C. Prabhu ◽  
Rajesh K. Chandy ◽  
Mark E. Ellis
Keyword(s):  
Time Series Data ◽  
Knowledge Development ◽  
Series Data ◽  
Alternative View ◽  
Cross Sectional ◽  
Pharmaceutical Firms ◽  
Knowledge Based ◽  
Poison Pill ◽  
Innovation Analysis ◽  
The Impact

Do acquisitions increase, decrease, or have no effect on innovation? The empirical research on this question suggests that acquisitions may hurt innovation; that is, they may be a “poison pill” for innovation. The authors present an alternative view. For firms that first engage in internal knowledge development, the knowledge-based view the authors present suggests that acquisitions can help innovation; that is, they can be a tonic for innovation. Analysis of cross-sectional, time-series data on a sample of pharmaceutical firms during 1988–97 provides evidence to support the thesis.

scholarly journals Analisis Efektifitas dan Efisiensi Pajak Daerah, Retribusi Daerah dan Kontribusinya Terhadap Pendapatan Asli Daerah Kota Bukittinggi

2020 ◽  
Vol 22 (2) ◽  
pp. 358-369
Author(s):  
Yenni Del Rosa ◽  
Ingra Sovita ◽  
Mohammad Abdilla
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Series Data ◽  
Quantitative Descriptive Analysis ◽  
Average Efficiency ◽  
Library Research ◽  
Quantitative Descriptive ◽  
Average Contribution

ABSTRACT The purpose of this study was to determine the effectiveness and efficiency ratios of local taxation, local user fees and the ratio of their contribution to the PAD of Bukittinggi in 2014 - 2018. The research data were time series data (secondary data) collected through library research and analyzed using quantitative descriptive analysis. The results showed the ratio of the effectiveness of the average local tax and the ratio of the average efficiency of the local tax of Bukittinggi 98.86% (classified as effective and efficient). The ratio of the effectiveness of the average regional retribution and the ratio of the average efficiency of the regional levy of the city of Bukittinggi 108.91% (classified as very effective and very efficient). The ratio of the average contribution of local taxes to the Bukittinggi municipal PAD 42.58% (quite good) and the ratio of the average contribution of the regional levies to the Bukittinggi city PAD 28.10% (classified as moderate). ABSTRAK Tujuan penelitian untuk mengetahui rasio efektifitas dan rasio efisiensi  pajak daerah, retribusi daerah dan rasio kontribusinya terhadap PAD kota Bukittinggi tahun 2014 – 2018. Data penelitian berupa data time series (data sekunder)  dikumpulkan melalui library research dan dianalisis menggunakan analisis deskriptif kuantitatif. Hasil penelitian menunjukkan rasio efektifitas rata-rata pajak daerah dan rasio efisiensi rata-rata pajak daerah  kota Bukittinggi 98.86% (kategori efektif dan efisien). Rasio efektifitas rata-rata retribusi daerah dan rasio efisiensi rata-rata retribusi daerah kota Bukittinggi 108.91% (tergolong sangat efektif dan sangat efisien). Rasio kontribusi rata-rata pajak daerah terhadap PAD kota Bukittinggi 42.58% (cukup baik) dan rasio kontribusi rata-rata retribusi daerah terhadap PAD kota Bukittinggi 28.10% (sedang).  

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