EMBA. Linear Structure Relation (LISREL) analysis using Structure Equation Model (SEM) by AMOS

Size: px
Start display at page:

Download "EMBA. Linear Structure Relation (LISREL) analysis using Structure Equation Model (SEM) by AMOS"

Transcription

1 EMBA The Moderating Effects of Social Capital and Entrepreneurial Orientation on the Relationships between Management Capability, Innovation, and Organizational Effectiveness Linear Structure Relation (LISREL) analysis using Structure Equation Model (SEM) by AMOS R R R R R R

2 . SEM ( BRM_factor_chen.sav) 2. social capital ( qcl_2 ) competing model SEM 2 Kit_f Kic_f Kis_f infrastructure capability in in2 in3 in4 Eo_f Eo_f2 Eo_f3 Entrepreneurial orientation Innovation Organizational Oe_f Oe_f2 process capability Kpac_f Kpc_f Kpap_f Kpp_f : The Structural Equation Model 2 5 SEM

3 AMOS e6 e4 e5 EO_F3 EO_F EO_F2 e7 Entrepreneurial orientation e8 e KIS_F e2 KIC_F infrastructure process e3 KIT_F e IN4 Innovation e2 e9 IN e3 IN3 e4 Organizational e20 IN2 OE_F OE_F2 e5 e6 KPAC_F KPP_F KPC_F KPAP_F e0 e9 e8 e7 BRM_ factor_chen.sav Finished 3 5 SEM

4 View Spreadsheets Regression Weights: (Group number - Default model) Estimate S.E. C.R. P Label _infrastructure_ <--- Entrepreneurial_orientation *** par_0 _process_ <--- Entrepreneurial_orientation *** par_ Innovation <--- Entrepreneurial_orientation *** par_9 Innovation <--- _process_ par_3 Innovation <--- _infrastructure_ par_6 Organizational_ <--- Innovation *** par_2 Organizational_ <--- _infrastructure_ par_7 Organizational_ <--- _process_ par_8 KIS_F <--- _infrastructure_.000 KIC_F <--- _infrastructure_ *** par_ KIT_F <--- _infrastructure_ *** par_2 EO_F <--- Entrepreneurial_orientation.000 EO_F3 <--- Entrepreneurial_orientation *** par_3 KPAP_F <--- _process_.000 KPC_F <--- _process_ *** par_4 KPP_F <--- _process_ *** par_5 KPAC_F <--- _process_ *** par_6 IN3 <--- Innovation *** par_7 OE_F <--- Organizational_.000 OE_F2 <--- Organizational_ *** par_8 IN4 <--- Innovation.000 IN2 <--- Innovation *** par_4 IN <--- Innovation *** par_5 EO_F2 <--- Entrepreneurial_orientation *** par_9 IN2(.022) e6 e4 e5 EO_F3 EO_F EO_F2 e7 Entrepreneurial orientation e8 e KIS_F e2 KIC_F infrastructure process e3 KIT_F e IN2 Innovation e2 e9 IN e3 IN3 e4 Organizational e20 IN4 OE_F OE_F2 e5 e6 KPAC_F KPP_F KPC_F KPAP_F e0 e9 e8 e7 4 5 SEM

5 Regression Weights: (Group number - Default model) Estimate S.E. C.R. P Label _infrastructure_ <--- Entrepreneurial_orientation *** par_0 _process_ <--- Entrepreneurial_orientation *** par_ Innovation <--- Entrepreneurial_orientation *** par_9 Innovation <--- _process_ par_3 Innovation <--- _infrastructure_ par_6 Organizational_ <--- Innovation *** par_2 Organizational_ <--- _infrastructure_ par_7 Organizational_ <--- _process_ par_8 KIS_F <--- _infrastructure_.000 KIC_F <--- _infrastructure_ *** par_ KIT_F <--- _infrastructure_ *** par_2 EO_F <--- Entrepreneurial_orientation.000 EO_F3 <--- Entrepreneurial_orientation *** par_3 KPAP_F <--- _process_.000 KPC_F <--- _process_ *** par_4 KPP_F <--- _process_ *** par_5 KPAC_F <--- _process_ *** par_6 IN3 <--- Innovation *** par_7 OE_F <--- Organizational_.000 OE_F2 <--- Organizational_ *** par_8 IN2 <--- Innovation.000 IN4 <--- Innovation *** par_4 IN <--- Innovation *** par_5 EO_F2 <--- Entrepreneurial_orientation *** par_9 Modification indices M.I. M.I. 0 M.I. 0 e2 e5 Modification Indices (Group number - Default model) Covariances: (Group number - Default model) M.I. Par Change e7 <--> e e20 <--> e e5 <--> e e4 <--> e e3 <--> e e3 <--> e e3 <--> e e3 <--> e e2 <--> e e2 <--> e e <--> e e <--> e e0 <--> e e7 <--> e e6 <--> e e4 <--> e e4 <--> e e3 <--> e e3 <--> e e2 <--> e e6 e4 e5 EO_F3 EO_F EO_F2 e7 Entrepreneurial orientation e8 KPAC_F e0 e KIS_F e2 KIC_F infrastructure process KPP_F e9 KPC_F e8 e3 KIT_F KPAP_F e7 e IN2 Innovation e9 e2 IN e3 IN3 Organizational e20 e4 IN4 OE_F OE_F2 e5 e6 5 5 SEM

6 Computation of degrees of freedom (Default model) Number of distinct sample moments: 36 Number of distinct parameters to be estimated: 4 Degrees of freedom (36-4): 95 Minimum was achieved CMIN Model NPAR CMIN DF P CMIN/DF Default model Saturated model Independence model Regression Weights: (Group number - Default model) Regression Weights: (Group number - Default model) Estimate S.E. C.R. P Label _infrastructure_ <---Entrepreneurial_orientation *** par_0 _process_ <---Entrepreneurial_orientation *** par_ Innovation <---Entrepreneurial_orientation *** par_9 Innovation <---_process_ par_3 Innovation <---_infrastructure_ par_6 Organizational_ <---Innovation *** par_2 Organizational_ <---_infrastructure_ par_7 Organizational_ <---_process_ par_8 KIS_F <---_infrastructure_.000 KIC_F <---_infrastructure_ *** par_ KIT_F <---_infrastructure_ *** par_2 EO_F <---Entrepreneurial_orientation.000 EO_F3 <---Entrepreneurial_orientation *** par_3 KPAP_F <---_process_.000 KPC_F <---_process_ *** par_4 KPP_F <---_process_ *** par_5 KPAC_F <---_process_ *** par_6 IN3 <---Innovation *** par_7 OE_F <---Organizational_.000 OE_F2 <---Organizational_ *** par_8 IN2 <---Innovation.000 IN4 <---Innovation *** par_4 IN <---Innovation *** par_5 EO_F2 <---Entrepreneurial_orientation *** par_9 Standardized Regression Weights: (Group number - Default model) Estimate _infrastructure_ <--- Entrepreneurial_orientation.783 _process_ <--- Entrepreneurial_orientation.834 Innovation <--- Entrepreneurial_orientation.066 Innovation <--- _process_ -.57 Innovation <--- _infrastructure_.00 Organizational_ <--- Innovation.767 Organizational_ <--- _infrastructure_.58 Organizational_ <--- _process_.09 KIS_F <--- _infrastructure_.868 KIC_F <--- _infrastructure_.805 KIT_F <--- _infrastructure_.672 EO_F <--- Entrepreneurial_orientation.88 EO_F3 <--- Entrepreneurial_orientation.75 KPAP_F <--- _process_.90 KPC_F <--- _process_.90 KPP_F <--- _process_ SEM

7 Estimate KPAC_F <--- _process_.86 IN3 <--- Innovation.80 OE_F <--- Organizational_.938 OE_F2 <--- Organizational_.70 IN2 <--- Innovation.854 IN4 <--- Innovation.769 IN <--- Innovation.770 EO_F2 <--- Entrepreneurial_orientation.606 Modification Indices (Group number - Default model) Covariances: (Group number - Default model) M.I. Par Change e7 <-->e e20 <-->e e5 <-->e e5 <-->e e3 <-->e e3 <-->e e3 <-->e e3 <-->e e2 <-->e e <-->e e <-->e e0 <-->e e7 <-->e e6 <-->e e6 <-->e e6 <-->e e4 <-->e e4 <-->e e3 <-->e e3 <-->e e2 <-->e Regression Weights: (Group number - Default model) M.I. Par Change OE_F <--- EO_F KPAC_F<--- IN Minimization History (Default model) Iteration Negative Smallest Condition # eigenvalues eigenvalue Diameter F NTries Ratio 0 e e e* e* e e e e e e e SEM

8 Model Fit Summary CMIN Chi-square CMIN/DF minimum value of discrepancy GFI goodness of fit index AGFI adjust goodness of fit index NFI normed fit index CFI comparative fit index RMR root mean square residual F 0 estimate of F 0 RMSEA root mean square error of approximation RFI relative fit index IFI incremental fit index ECVI expect for a constant scale factor 0.05<p< > GFI > > > < % RMR < > > % SEM

9 Standardized Regression Weights: (Group number - Default model) Standardized Coefficients Regression Weights: (Group number - Default model) C. R. : The Results of Structure Equation Model Relations Standardized C. R. Coefficients Eo_f.88 - Entrepreneurial orientation Eo_f2.606 *** Eo_f3.75 *** Kit_f.672 *** 7.69 infrastructure capability Kic_f.805 *** Kis_f Kpac_f.86 *** Variables process capability Kpc_f.90 *** Kpap_f.90 - Kpp_f.797 ***.466 In.770 *** Innovation In In3.80 *** In4.769 *** Organizational Oe_f Oe_f2.70 *** Entrepreneurial orientation.783 *** infrastructure capability Entrepreneurial orientation process.834 *** capability Entrepreneurial orientation Innovation.066 *** Paths infrastructure capability Innovation process capability Innovation infrastructure capability Organizational process capability Organizational Innovation Organizational.767 *** 6.79 Chi-Square (p=.000) Degree of freedom (d. f.) 95 Fit index Chi-Square/ d. f..708 GFI.85 AGFI.786 RMR SEM

10 AMOS e6 e4 e5 EO_F3 EO_F EO_F2 e7 Entrepreneurial orientation e8 e KIS_F e2 KIC_F infrastructure process e3 KIT_F e IN4 Innovation e2 e9 IN e3 IN3 e4 Organizational e20 IN2 OE_F OE_F2 e5 e6 KPAC_F KPP_F KPC_F KPAP_F e0 e9 e8 e7 Manage Groups Groups Groups BRM_ factor_chen.sav Grouping Variable Qcl2 Groups Group Value 40/6 76/6 Critical ratios for differences Finished 0 5 SEM

11 View Spreadsheets Social Capital C.R Label par_x (ex. KIT_F par_), Standardized regression weights estimate. Regression Weights: (Social Capital - Default model) Estimate S.E. C.R. P Label _infrastructure_ <--- Entrepreneurial_orientation par_3 _process_ <--- Entrepreneurial_orientation par_4 Innovation <--- Entrepreneurial_orientation.000 Innovation <--- _process_ par_5 Innovation <--- _infrastructure_ par_6 Organizational_ <--- Innovation *** par_2 Organizational_ <--- _process_ par_7 Organizational_ <--- _infrastructure_ par_8 KIT_F <--- _infrastructure_ par_ KIC_F <--- _infrastructure_ par_2 KIS_F <--- _infrastructure_.000 EO_F3 <--- Entrepreneurial_orientation *** par_3 EO_F2 <--- Entrepreneurial_orientation *** par_4 EO_F <--- Entrepreneurial_orientation.000 KPC_F <--- _process_ *** par_5 KPAP_F <--- _process_.000 KPP_F <--- _process_ *** par_6 KPAC_F <--- _process_ *** par_7 IN <--- Innovation *** par_8 IN2 <--- Innovation SEM

12 Estimate S.E. C.R. P Label IN3 <--- Innovation *** par_9 IN4 <--- Innovation *** par_0 OE_F <--- Organizational_.000 OE_F2 <--- Organizational_ *** par_ Standardized Regression Weights: (Social Capital - Default model) Estimate _infrastructure_ <--- Entrepreneurial_orientation _process_ <--- Entrepreneurial_orientation.485 Innovation <--- Entrepreneurial_orientation.756 Innovation <--- _process_.280 Innovation <--- _infrastructure_.200 Organizational_ <--- Innovation.94 Organizational_ <--- _process_ -.03 Organizational_ <--- _infrastructure_ KIT_F <--- _infrastructure_.435 KIC_F <--- _infrastructure_.446 KIS_F <--- _infrastructure_.447 EO_F3 <--- Entrepreneurial_orientation.950 EO_F2 <--- Entrepreneurial_orientation.707 EO_F <--- Entrepreneurial_orientation.697 KPC_F <--- _process_.939 KPAP_F <--- _process_.842 KPP_F <--- _process_.880 KPAC_F <--- _process_.79 IN <--- Innovation.637 IN2 <--- Innovation.698 IN3 <--- Innovation.780 IN4 <--- Innovation.825 OE_F <--- Organizational_.868 OE_F2 <--- Organizational_.748 Social Capital 2 C.R. Label par_x (ex. KIT_F par_9), Standardized regression weights estimate. Regression Weights: (Social Capital 2 - Default model) Estimate S.E. C.R. P Label _infrastructure_ <--- Entrepreneurial_orientation *** par_3 _process_ <--- Entrepreneurial_orientation *** par_32 Innovation <--- Entrepreneurial_orientation.000 Innovation <--- _process_ par_33 Innovation <--- _infrastructure_ par_34 Organizational_ <--- Innovation *** par_30 Organizational_ <--- _process_ par_35 Organizational_ <--- _infrastructure_ par_36 KIT_F <--- _infrastructure_ *** par_9 KIC_F <--- _infrastructure_ *** par_20 KIS_F <--- _infrastructure_.000 EO_F3 <--- Entrepreneurial_orientation *** par_2 EO_F2 <--- Entrepreneurial_orientation *** par_ SEM

13 Estimate S.E. C.R. P Label EO_F <--- Entrepreneurial_orientation.000 KPC_F <--- _process_ *** par_23 KPAP_F <--- _process_.000 KPP_F <--- _process_ *** par_24 KPAC_F <--- _process_ *** par_25 IN <--- Innovation *** par_26 IN2 <--- Innovation.000 IN3 <--- Innovation *** par_27 IN4 <--- Innovation *** par_28 OE_F <--- Organizational_.000 OE_F2 <--- Organizational_ *** par_29 Standardized Regression Weights: (Social Capital 2 - Default model) Estimate _infrastructure_ <--- Entrepreneurial_orientation.756 _process_ <--- Entrepreneurial_orientation.763 Innovation <--- Entrepreneurial_orientation.857 Innovation <--- _process_ -.97 Innovation <--- _infrastructure_.275 Organizational_ <--- Innovation.979 Organizational_ <--- _process_.37 Organizational_ <--- _infrastructure_ -.0 KIT_F <--- _infrastructure_.608 KIC_F <--- _infrastructure_.780 KIS_F <--- _infrastructure_.838 EO_F3 <--- Entrepreneurial_orientation.690 EO_F2 <--- Entrepreneurial_orientation.523 EO_F <--- Entrepreneurial_orientation.887 KPC_F <--- _process_.842 KPAP_F <--- _process_.900 KPP_F <--- _process_.73 KPAC_F <--- _process_.735 IN <--- Innovation.734 IN2 <--- Innovation.885 IN3 <--- Innovation.688 IN4 <--- Innovation.70 OE_F <--- Organizational_.937 OE_F2 <--- Organizational_ SEM

14 Critical ratios for differences t-value (ex. KIT_F par_ vs. par_9) Copy Excel Model Fit Summary CMIN Model NPAR CMIN DF P CMIN/DF Default model Saturated model Independence model RMR, GFI Model RMR GFI AGFI PGFI Default model Saturated model Independence model SEM

15 Variables Entrepreneurial orientation infrastructure capability 2: The Results of Competing model for Different Levels of key success factors Model - Low Level Relations process capability Innovation Organizational SC (n=.) Standardized Coefficients C. R. Model 2 - High Level SC (n= ) Standardized C. R. Coefficients t-value Eo_f Eo_f Eo_f Kit_f Kic_f Kis_f Kpac_f Kpc_f Kpap_f Kpp_f In In In In Oe_f Oe_f Paths Entrepreneurial orientation infrastructure capability Entrepreneurial orientation process capability Entrepreneurial orientation Innovation infrastructure capability Innovation process capability Innovation infrastructure capability Organizational process capability Organizational Innovation Organizational Fit index Chi-Square ( p-value) (p=.000) Degree of freedom (d. f.) 94 Chi-Square/ d. f..73 GFI.75 AGFI.65 RMR.72 page SEM

Lampiran H. Output Analisis Untuk Moderator Lokasi Sekolah

Lampiran H. Output Analisis Untuk Moderator Lokasi Sekolah Lampiran H Output Analisis Untuk Moderator Lokasi Sekolah Model Penuh Pencapaian Akademik Untuk Pelajar Sekolah Luar Bandar Analysis Summary Notes for Group (Group number 1) The model is recursive. Sample

More information

Lampiran F. Output Analisis Untuk Moderator Gaya Keibubapaan

Lampiran F. Output Analisis Untuk Moderator Gaya Keibubapaan Lampiran F Output Analisis Untuk Moderator Gaya Keibubapaan Model Penuh Pencapaian Akademik Untuk Gaya Keibubapaan Autoritarian Analysis Summary Notes for Group (Group number 1) The model is recursive.

More information

In Tae Lee 1, Youn Sung Kim 2

In Tae Lee 1, Youn Sung Kim 2 , pp.83-89 http://dx.doi.org/10.14257/astl.2015.102.18 The effects of technology information sharing on technology capabilities and performance of global manufacturing company: focus on Parent company

More information

The Adoption of Variable-Rate Application of Fertilizers Technologies: The Case of Iran

The Adoption of Variable-Rate Application of Fertilizers Technologies: The Case of Iran Journal of Agricultural Technology 2015 Vol. 11(3):609-620 Available online http://www.ijat-aatsea.com ISSN 1686-9141 The Adoption of Variable-Rate Application of Fertilizers Technologies: The Case of

More information

Research on the Influencing Factors of the. Adoption of BIM Technology

Research on the Influencing Factors of the. Adoption of BIM Technology Original Paper World Journal of Social Science Research ISSN 2375-9747 (Print) ISSN 2332-5534 (Online) Vol. 5, No. 1, 2018 www.scholink.org/ojs/index.php/wjssr Research on the Influencing Factors of the

More information

ABBREVIATIONS. BIPP : Biotechnology Industry Partnership Programme. BIRAC : Biotechnology Industry Research Assistance Council

ABBREVIATIONS. BIPP : Biotechnology Industry Partnership Programme. BIRAC : Biotechnology Industry Research Assistance Council ABBREVIATIONS ACSI : American Customer Satisfaction Index AGFI : Adjusted Goodness of Fit Index AMOS : Analysis of Moment Structures ANOVA : Analysis of Variance ARCI : International Advanced Research

More information

rotation procedure (Promax) to allow any factors that emerged to correlate. Results are

rotation procedure (Promax) to allow any factors that emerged to correlate. Results are Supplemental materisl for AJP 132.1, January 2019 Alexander P. Burgoyne, Christopher D. Nye, Brooke N. Macnamara, Neil Charness, and David Z. Hambrick.. The impact of domain-specific experience on chess

More information

1. Introduction. Abstract. Chang-Jae Lee * and Yen-Yoo You

1. Introduction. Abstract. Chang-Jae Lee * and Yen-Yoo You Indian Journal of Science and Technology, Vol 9(41), DOI: 10.17485/ijst/2016/v9i41/103857, November 2016 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Effects of Corporate Technological Innovation

More information

Effects of Social Media on Teachers Performance: Evidence from Pakistan Sajid Rahman Khattak, Saima Batool, Zafar Saleem and Kousar Takrim

Effects of Social Media on Teachers Performance: Evidence from Pakistan Sajid Rahman Khattak, Saima Batool, Zafar Saleem and Kousar Takrim Effects of Social Media on Teachers Performance: Evidence from Pakistan Sajid Rahman Khattak, Saima Batool, Zafar Saleem and Kousar Takrim Abstract The purpose of this research aims at investigating the

More information

Impact of Project Complexity and Environmental Factors on Project Success: A Case of Oil and Gas Sector of Pakistan

Impact of Project Complexity and Environmental Factors on Project Success: A Case of Oil and Gas Sector of Pakistan Journal of Basic & Applied Sciences, 2017, 13, 351-358 351 Impact of Project Complexity and Environmental Factors on Project Success: A Case of Oil and Gas Sector of Pakistan Farhaj Ishtiaq * and Mirza

More information

In good hands? Foresight and strategic thinking capabilities of regional universities.

In good hands? Foresight and strategic thinking capabilities of regional universities. In good hands? Foresight and strategic thinking capabilities of regional universities. Universities play a vital role in shaping Australia as a highly-skilled, innovative and prosperous nation. We are

More information

Anexo K. Programa para analizar el modelo de playas

Anexo K. Programa para analizar el modelo de playas ESTE DOCUMENTO CONSTITUYE UN ANEXO DEL PROYECTO EVALUACIÓN DEL DESEMPEÑO DE LOS DESTINOS TURÍSTICOS EN EL MARCO DE LOS CONVENIOS DE COORDINACIÓN EN MATERIA DE ASIGNACIÓN DE RECURSOS MISMO QUE PUEDE SER

More information

THE ROLE OF TECHNOLOGY MANAGEMENT ON INNOVATION SUCCESS AND PERFORMANCE OF ORGANIZATION- EMPIRICAL STUDY

THE ROLE OF TECHNOLOGY MANAGEMENT ON INNOVATION SUCCESS AND PERFORMANCE OF ORGANIZATION- EMPIRICAL STUDY International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 13, December 2018, pp. 819-826, Article ID: IJCIET_09_13_080 Available online at http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=9&itype=13

More information

TECHNOLOGY ADOPTION STRATEGY FOR IMPROVING ELECTRICITY UTILITY COMPANY S PERFORMANCE

TECHNOLOGY ADOPTION STRATEGY FOR IMPROVING ELECTRICITY UTILITY COMPANY S PERFORMANCE TECHNOLOGY ADOPTION STRATEGY FOR IMPROVING ELECTRICITY UTILITY COMPANY S PERFORMANCE Putrajaya, 21 22 November 2017 2017 IERE TNB Putrajaya Workshop BACKGROUND - THEORITICAL 1. Organizational Behavior

More information

JOURNAL OF BUSINESS AND MANAGEMENT Vol. 5, No. 2, 2016:

JOURNAL OF BUSINESS AND MANAGEMENT Vol. 5, No. 2, 2016: JOURNAL OF BUSINESS AND MANAGEMENT Vol. 5, No. 2, 2016: 277-282 THE EFFECTS OF TECHNOLOGY READINESS AND TECHNOLOGY ACCEPTANCE TOWARD CITIZENS PARTICIPATION IN BANDUNG SMART CITY PROJECT Febryansyah Aminullah

More information

Empirical Research on Influence Factors of Enhancing Independent Innovation Capability for Small and Medium-sized Technology-Based Enterprises

Empirical Research on Influence Factors of Enhancing Independent Innovation Capability for Small and Medium-sized Technology-Based Enterprises Empirical Research on Influence Factors of Enhancing Independent Innovation Capability for Small and Medium-sized Technology-Based Enterprises Zhonghang Bai* 1,2, Xiangdong Li 1, Xu Zhang 3 1. School of

More information

The Empirical Research on Independent Technology Innovation, Knowledge Transformation and Enterprise Growth

The Empirical Research on Independent Technology Innovation, Knowledge Transformation and Enterprise Growth 426 The Empirical Research on Independent Technology Innovation, Knowledge Transformation and Enterprise Growth Zhang Binbin, Ding Jiangtao, Li Mingxing, Zhang Tongjian School of Business Administration,

More information

A Comprehensive Systemic Model of Innovation Management : Total Innovation Management ( TIM )

A Comprehensive Systemic Model of Innovation Management : Total Innovation Management ( TIM ) A Comprehensive Systemic Model of Innovation Management : Total Innovation Management ( TIM ) Abbasali Hajikarimi Associate Professor of Business Management Department Shahid Beheshti University,Tehran

More information

Analysis of the Formation Mechanism of Competitiveness of Shipbuilding Industry in China

Analysis of the Formation Mechanism of Competitiveness of Shipbuilding Industry in China International Business and Management Vol. 9, No., 204, pp. 27-34 DOI:0.3968/5533 ISSN 923-84X [Print] ISSN 923-8428 [Online] www.cscanada.net www.cscanada.org Analysis of the Formation Mechanism of Competitiveness

More information

Impact of Perceived Desirability, Perceived Feasibility and Performance Expectancy on Use of IT Innovation

Impact of Perceived Desirability, Perceived Feasibility and Performance Expectancy on Use of IT Innovation Impact of Perceived Desirability, Perceived Feasibility and Performance Expectancy on Use of IT Innovation Sedigheh Moghavvemi, Phoong Seuk Wai, Lee Su Teng Abstract Theoretical perspectives from the field

More information

Developing a Measuring Scale for Students Mobile Learning of Health Technology Literacy in Technological Colleges

Developing a Measuring Scale for Students Mobile Learning of Health Technology Literacy in Technological Colleges Developing a Measuring Scale for Students Mobile Learning of Health Technology Literacy in Technological Colleges CHIN-MOU CHENG College of Humanities and Management, Fooyin University 151, Chinhsueh Rd.,

More information

Correlation and Regression

Correlation and Regression Correlation and Regression Shepard and Feng (1972) presented participants with an unfolded cube and asked them to mentally refold the cube with the shaded square on the bottom to determine if the two arrows

More information

Research on the Innovation Mechanism and Process of China s Automotive Industry

Research on the Innovation Mechanism and Process of China s Automotive Industry Research on the Innovation Mechanism and Process of China s Automotive Industry Xingda Qi, Xianjun Li, Siyu Yan, Shijin Shuai State Key Laboratory of Automotive Safety and Energy, Tsinghua University,

More information

Virtual Reality to Help Relieve Travel Anxiety

Virtual Reality to Help Relieve Travel Anxiety KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 7, NO. 6, Jun. 2013 1433 Copyright c 2013 KSII Virtual Reality to Help Relieve Travel Anxiety Jong-Chang Ahn 1, Sung-Phil Cho, 1 and Soon-Ki Jeong

More information

The Technology Acceptance Model for Playing Mobile Games in Indonesia

The Technology Acceptance Model for Playing Mobile Games in Indonesia The 2018 International Conference of Organizational Innovation Volume 2018 Conference Paper The Technology Acceptance Model for Playing Mobile Games in Indonesia Umi Kaltum, Rizki Rimadina, and Waode Zusnita

More information

A Technology Acceptance Model: Mediate and Moderate Effect

A Technology Acceptance Model: Mediate and Moderate Effect Asia Pacific Management Review 14(4) (2009) 461-476 www.apmr.management.ncku.edu.tw A Technology Acceptance Model: Mediate and Moderate Effect Wen-Chin Wei Department of Public Finance and Taxation, National

More information

Network Effects in Technology Acceptance: Laboratory Evidence

Network Effects in Technology Acceptance: Laboratory Evidence Association for Information Systems AIS Electronic Library (AISeL) ICIS 2008 Proceedings International Conference on Information Systems (ICIS) 2008 Network Effects in Technology Acceptance: Laboratory

More information

The Surprising Lack of Effect of Privacy Concerns on Intention to Use Online Social Networks

The Surprising Lack of Effect of Privacy Concerns on Intention to Use Online Social Networks Association for Information Systems AIS Electronic Library (AISeL) AMCIS 2011 Proceedings - All Submissions 8-5-2011 The Surprising Lack of Effect of Privacy Concerns on Intention to Use Online Social

More information

Factors Influencing Adoption of Biometrics by Employees in Egyptian Five Star Hotels

Factors Influencing Adoption of Biometrics by Employees in Egyptian Five Star Hotels Apparel, Events and Hospitality Management Conference Proceedings and Presentations Apparel, Events and Hospitality Management 2012 Factors Influencing Adoption of Biometrics by Employees in Egyptian Five

More information

Prospect of the Next-generation digital content industry: Three perspective approach to the User acceptance of the Realistic content technology

Prospect of the Next-generation digital content industry: Three perspective approach to the User acceptance of the Realistic content technology Prospect of the Next-generation digital content industry: Three perspective approach to the User acceptance of the Realistic content technology Hyungjin PARK, Hyenyoung YOON, Junseok HWANG Technology Management

More information

Identification of effective factors on knowledge commercialization: a case study of Mashhad city universities

Identification of effective factors on knowledge commercialization: a case study of Mashhad city universities International Research Journal of Applied and Basic Sciences 2013 Available online at www.irjabs.com ISSN 2251-838X / Vol, 7 (14): 1072-1079 Science Explorer Publications Identification of effective factors

More information

Strategies of Effective Technology Licensing

Strategies of Effective Technology Licensing Strategies of Effective Technology Licensing Government of India Ministry of Science & Technology Department of Scientific & Industrial Research International Workshop on Supporting Innovative Entrepreneurs

More information

This paper utilizes the technology acceptance model (TAM) to uncover the moderating roles of

This paper utilizes the technology acceptance model (TAM) to uncover the moderating roles of Madison N. Ngafeeson* Walker L. Cisler College of Business, Northern Michigan University, 1401 Presque Isle Ave, Marquette, MI 49855 Email: mngafees@nmu.edu Tel.: 906-227-2699 *Corresponding author Jun

More information

Development of a Scale of Perception to Humanoid Robots: PERNOD

Development of a Scale of Perception to Humanoid Robots: PERNOD The 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems October 18-22, 2010, Taipei, Taiwan Development of a Scale of Perception to Humanoid Robots: PERNOD Hiroko Kamide, Yasushi Mae,

More information

Received: March 7, 2013 Accepted: March 29, 2013 Published: April 5, 2013

Received: March 7, 2013 Accepted: March 29, 2013 Published: April 5, 2013 20, Vol., No. Model Joint Business Group Based Knowledge for Fishermen Community Empowerment Strategies (Case Study of Business Diversification on Solid Capture Region Cirebon City) Liliek Soeprijadi Faculty

More information

The Influence of Mindfulness on Tourists Emotions, Satisfaction and Destination Loyalty in Fiji

The Influence of Mindfulness on Tourists Emotions, Satisfaction and Destination Loyalty in Fiji University of Massachusetts Amherst ScholarWorks@UMass Amherst Tourism Travel and Research Association: Advancing Tourism Research Globally 2011 ttra International Conference The Influence of Mindfulness

More information

Social Capital and internet use: Portuguese social capital scale

Social Capital and internet use: Portuguese social capital scale Name: Manuel José Damásio, Diogo Morais, Sara Henriques Institution: CICANT - Centro de Investigação em Comunicação Aplicada, Cultura e Novas Tecnologias, Universidade Lusófona de Humanidades e Tecnologias

More information

Restaurant Bill and Party Size

Restaurant Bill and Party Size Restaurant Bill and Party Size Alignments to Content Standards: S-ID.B.6.b Task The owner of a local restaurant selected a random sample of dinner tables at his restaurant. For each table, the owner recorded

More information

ore C ommon Core Edition APlgebra Algebra 1 ESTS RACTICE PRACTICE TESTS Topical Review Book Company Topical Review Book Company

ore C ommon Core Edition APlgebra Algebra 1 ESTS RACTICE PRACTICE TESTS Topical Review Book Company Topical Review Book Company C ommon Core ommon Edition C ore Edition Algebra 1 APlgebra 1 T RACTICE ESTS Answer Keys PRACTICE TESTS Topical Review Book Company Topical Review Book Company TEST 1 Part I 1. 3 5. 2 9. 4 13. 1 17. 4

More information

Understanding Technology Acceptance: Phase 2 Identifying and Validating the Metrics & Preliminary Testing of a Quantitative Model

Understanding Technology Acceptance: Phase 2 Identifying and Validating the Metrics & Preliminary Testing of a Quantitative Model Understanding Technology Acceptance: Phase 2 Identifying and Validating the Metrics & Preliminary Testing of a Quantitative Model Technical Report HFA-TR-0604 Atlanta, GA: Georgia Institute of Technology

More information

Exploring Factors Affecting the User Adoption of Call-taxi App

Exploring Factors Affecting the User Adoption of Call-taxi App Abstract Exploring Factors Affecting the User Adoption of Call-taxi App Lifang Peng, Huan Wang, Xuanfang He, Danxia Guo, Yuchuan Lin School of Management Xiamen University Fujian, China Email: lfpeng@xmu.edu.cn

More information

Structural Equation Modeling (SEM)

Structural Equation Modeling (SEM) Structural Equation Modeling (SEM) Ron D. Hays, Ph.D. http://twitter.com/rondhays November 15, 2010, 15:01-15:59pm UCLA RCMAR/EXPORT Seminar Series Acknowledgment of Support UCLA Resource Center for Minority

More information

Microsoft Excel: Data Analysis & Graphing. College of Engineering Engineering Education Innovation Center

Microsoft Excel: Data Analysis & Graphing. College of Engineering Engineering Education Innovation Center Microsoft Excel: Data Analysis & Graphing College of Engineering Engineering Education Innovation Center Objectives Use relative, absolute, and mixed cell referencing Identify the types of graphs and their

More information

Characterization of Cr/Ni reference material

Characterization of Cr/Ni reference material Fischer Traceability Report JL-2013-06-Cr/Ni Sindelfingen, 06/11/2013 Characterization of Cr/Ni reference material Abstract: New Cr/Ni primary and secondary reference standards have been characterized

More information

Section 3 Correlation and Regression - Worksheet

Section 3 Correlation and Regression - Worksheet The data are from the paper: Exploring Relationships in Body Dimensions Grete Heinz and Louis J. Peterson San José State University Roger W. Johnson and Carter J. Kerk South Dakota School of Mines and

More information

Research Journal of Social Sciences

Research Journal of Social Sciences Copyright 2015, American-Eurasian Network for Scientific Information publisher Research Journal of Social Sciences ISSN: 1815-9125 EISSN: 2309-9631 JOURNAL home page: http://www.aensiweb.com/rjss 2015

More information

Modelling Learning Environment for Digitalization in Secondary Schools in Ibadan Metropolis

Modelling Learning Environment for Digitalization in Secondary Schools in Ibadan Metropolis Journal of Emerging Trends in Educational Research and Policy Studies (JETERAPS) 9(3): 101-108 Journal Scholarlink of Emerging Research Trends Institute in Educational Journals, 2018 Research (ISSN: and

More information

Prices of digital cameras

Prices of digital cameras Prices of digital cameras The August 2012 issue of Consumer Reports included a report on digital cameras. The magazine listed 60 cameras, all of which were recommended by them, divided into six categories

More information

MEASURING MOBILE USERS CONCERNS FOR INFORMATION PRIVACY

MEASURING MOBILE USERS CONCERNS FOR INFORMATION PRIVACY MEASURING MOBILE USERS CONCERNS FOR INFORMATION PRIVACY Completed Research Paper Heng Xu Pennsylvania State University University Park, USA hxu@ist.psu.edu Mary Beth Rosson Pennsylvania State University

More information

Miguel I. Aguirre-Urreta

Miguel I. Aguirre-Urreta RESEARCH NOTE REVISITING BIAS DUE TO CONSTRUCT MISSPECIFICATION: DIFFERENT RESULTS FROM CONSIDERING COEFFICIENTS IN STANDARDIZED FORM Miguel I. Aguirre-Urreta School of Accountancy and MIS, College of

More information

Internet usage behavior of Agricultural faculties in Ethiopian Universities: the case of Haramaya University Milkyas Hailu Tesfaye 1 Yared Mammo 2

Internet usage behavior of Agricultural faculties in Ethiopian Universities: the case of Haramaya University Milkyas Hailu Tesfaye 1 Yared Mammo 2 Internet usage behavior of Agricultural faculties in Ethiopian Universities: the case of Haramaya University Milkyas Hailu Tesfaye 1 Yared Mammo 2 1 Lecturer, Department of Information Science, Haramaya

More information

Appendices. Chile models. Appendix

Appendices. Chile models. Appendix Appendices Appendix Chile models Table 1 New Philips curve Dependent Variable: DLCPI Date: 11/15/04 Time: 17:23 Sample(adjusted): 1997:2 2003:4 Included observations: 27 after adjusting endpoints Kernel:

More information

Real Money Trading in Virtual Worlds

Real Money Trading in Virtual Worlds Association for Information Systems AIS Electronic Library (AISeL) ICEB 2017 Proceedings International Conference on Electronic Business Winter 12-4-2017 Real Money Trading in Virtual Worlds Mohamed Nazir

More information

CHM 109 Excel Refresher Exercise adapted from Dr. C. Bender s exercise

CHM 109 Excel Refresher Exercise adapted from Dr. C. Bender s exercise CHM 109 Excel Refresher Exercise adapted from Dr. C. Bender s exercise (1 point) (Also see appendix II: Summary for making spreadsheets and graphs with Excel.) You will use spreadsheets to analyze data

More information

How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory

How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory Prev Sci (2007) 8:206 213 DOI 10.1007/s11121-007-0070-9 How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory John W. Graham & Allison E. Olchowski & Tamika

More information

EXPLORING THE ROLE OF SWITCHING COSTS IN EXPLAINING MICRO-GROUP ADHERENCE FROM THE SOCIO-TECHNICAL PERSPECTIVE

EXPLORING THE ROLE OF SWITCHING COSTS IN EXPLAINING MICRO-GROUP ADHERENCE FROM THE SOCIO-TECHNICAL PERSPECTIVE EXPLORING THE ROLE OF SWITCHING COSTS IN EXPLAINING MICRO-GROUP ADHERENCE FROM THE SOCIO-TECHNICAL PERSPECTIVE Minghui Kang, School of Economics & Management, Southwest Jiaotong University, Chengdu, P.

More information

Investigation of the key success factors in Virtual Tourism

Investigation of the key success factors in Virtual Tourism Indian Journal of Science and Technology Vol. 5 No. 7 (July 2012) ISSN: 0974-6846 Investigation of the key success factors in Virtual Tourism Mohammad Mahmoudi Maymand 1, Hassan Farsijani 2, and Sara.

More information

Driving Factors of Smart City Construction in China An Exploratory Method by Grounded Theory and Empirical Research

Driving Factors of Smart City Construction in China An Exploratory Method by Grounded Theory and Empirical Research Article Driving Factors of Smart City Construction in China An Exploratory Method by Grounded Theory and Empirical Research Qinghong Cui * and Guangbin Wang School of Economics and Management, Tongji University,

More information

Lampiran 1: Data Investasi Perusahaan GE, US, GM dan WEST

Lampiran 1: Data Investasi Perusahaan GE, US, GM dan WEST Lampiran 1: Data Investasi Perusahaan GE, US, GM dan WEST Tahun GE US I F C I F C 1935 33.10 1170.60 97.80 209.90 1362.40 53.80 1936 45.00 2015.80 104.40 355.30 1807.10 50.50 1937 77.20 2803.30 118.00

More information

This tutorial will lead you through step-by-step to make the plot below using Excel.

This tutorial will lead you through step-by-step to make the plot below using Excel. GES 131 Making Plots with Excel 1 / 6 This tutorial will lead you through step-by-step to make the plot below using Excel. Number of Non-Student Tickets vs. Student Tickets Y, Number of Non-Student Tickets

More information

Factors affecting RFID adoption in the agricultural product distribution industry: empirical evidence from China

Factors affecting RFID adoption in the agricultural product distribution industry: empirical evidence from China DOI 10.1186/s40064-016-3708-x RESEARCH Open Access Factors affecting RFID adoption in the agricultural product distribution industry: empirical evidence from China Ping Shi 1* and Bo Yan 2 Abstract We

More information

1.0 What is tolerance analysis? 2.0 What is Tolerance Stackup? 3.0 Generally, the Tolerance Stackup Process 4.0 Method and Types of Tolerance

1.0 What is tolerance analysis? 2.0 What is Tolerance Stackup? 3.0 Generally, the Tolerance Stackup Process 4.0 Method and Types of Tolerance TOLERANCE ANALYSIS 1.0 What is tolerance analysis? 2.0 What is Tolerance Stackup? 3.0 Generally, the Tolerance Stackup Process 4.0 Method and Types of Tolerance Analysis 5.0 Worst-case Tolerance Stackup

More information

New Developments for Mixture Modeling using Mplus

New Developments for Mixture Modeling using Mplus New Developments for Mixture Modeling using Mplus Bengt Muthén & Tihomir Asparouhov Mplus www.statmodel.com Presentation at the 2013 AERA Meeting in San Francisco April 28, 2013 Bengt Muthén & Tihomir

More information

Tying Context to Post-Adoption Behavior with Information Technology: A Conceptual and Operational Definition of Mindfulness

Tying Context to Post-Adoption Behavior with Information Technology: A Conceptual and Operational Definition of Mindfulness Association for Information Systems AIS Electronic Library (AISeL) AMCIS 2007 Proceedings Americas Conference on Information Systems (AMCIS) December 2007 Tying Context to Post-Adoption Behavior with Information

More information

Module 7 : Design of Machine Foundations. Lecture 31 : Basics of soil dynamics [ Section 31.1: Introduction ]

Module 7 : Design of Machine Foundations. Lecture 31 : Basics of soil dynamics [ Section 31.1: Introduction ] Lecture 31 : Basics of soil dynamics [ Section 31.1: Introduction ] Objectives In this section you will learn the following Dynamic loads Degrees of freedom Lecture 31 : Basics of soil dynamics [ Section

More information

Individual Entrepreneurial Orientation Role in Shaping Reactions to New Technologies

Individual Entrepreneurial Orientation Role in Shaping Reactions to New Technologies Individual Entrepreneurial Orientation Role in Shaping Reactions to New Technologies John Erickson University of Nebraska at Omaha johnerickson@unomaha.edu Submission Type: Full Paper Vishal Gupta State

More information

How can it be right when it feels so wrong? Outliers, diagnostics, non-constant variance

How can it be right when it feels so wrong? Outliers, diagnostics, non-constant variance How can it be right when it feels so wrong? Outliers, diagnostics, non-constant variance D. Alex Hughes November 19, 2014 D. Alex Hughes Problems? November 19, 2014 1 / 61 1 Outliers Generally Residual

More information

PC1141 Physics I. Speed of Sound

PC1141 Physics I. Speed of Sound Name: Date: PC1141 Physics I Speed of Sound 5 Laboratory Worksheet Part A: Resonant Frequencies of A Tube Length of the air tube (L): cm Room temperature (T ): C n Resonant Frequency f (Hz) 1 2 3 4 5 6

More information

Obs location y

Obs location y ods rtf file='s:\webpages\~renaes\output\sas\sas kw output.rtf'; data tab331 ; input location y @@ ; cards ; 1 26.5 1 15.0 1 18.2 1 19.5 1 23.1 1 17.3 2 16.5 2 15.8 2 14.1 2 30.2 2 25.1 2 17.4 3 19.2 3

More information

User Acceptance of Desktop Based Computer Software Using UTAUT Model and addition of New Moderators

User Acceptance of Desktop Based Computer Software Using UTAUT Model and addition of New Moderators User Acceptance of Desktop Based Computer Software Using UTAUT Model and addition of New Moderators Mr. Aman Kumar Sharma Department of Computer Science Himachal Pradesh University Shimla, India sharmaas1@gmail.com

More information

EECS 312: Digital Integrated Circuits Lab Project 2 Extracting Electrical and Physical Parameters from MOSFETs. Teacher: Robert Dick GSI: Shengshuo Lu

EECS 312: Digital Integrated Circuits Lab Project 2 Extracting Electrical and Physical Parameters from MOSFETs. Teacher: Robert Dick GSI: Shengshuo Lu EECS 312: Digital Integrated Circuits Lab Project 2 Extracting Electrical and Physical Parameters from MOSFETs Teacher: Robert Dick GSI: Shengshuo Lu Due 3 October 1 Introduction In this lab project, we

More information

THE APPLICATION OF TAM FOR INVESTIGATING USERS ATTITUDE TOWARDS IOT USAGE IN THE UNIVERSITY LIBRARIES OF ODISHA

THE APPLICATION OF TAM FOR INVESTIGATING USERS ATTITUDE TOWARDS IOT USAGE IN THE UNIVERSITY LIBRARIES OF ODISHA International Journal of Library & Information Science (IJLIS) Volume 7, Issue 5, September October 2018, pp. 1 26, Article ID: IJLIS_07_05_001 Available online at http://www.iaeme.com/ijlis/issues.asp?jtype=ijlis&vtype=7&itype=5

More information

Technology ease of use through social networking media

Technology ease of use through social networking media through social networking media Michelle D. Lane Gordon Ford College of Business Department of Management Western Kentucky University Bowling Green, Ky. 42101 Phillip D. Coleman Gordon Ford College of

More information

PHYS 1112L - Introductory Physics Laboratory II

PHYS 1112L - Introductory Physics Laboratory II PHYS 1112L - Introductory Physics Laboratory II Laboratory Advanced Sheet Snell's Law 1. Objectives. The objectives of this laboratory are a. to determine the index of refraction of a liquid using Snell's

More information

IE 361 Module 7. Reading: Section 2.5 of Revised SQAME. Prof. Steve Vardeman and Prof. Max Morris. Iowa State University

IE 361 Module 7. Reading: Section 2.5 of Revised SQAME. Prof. Steve Vardeman and Prof. Max Morris. Iowa State University IE 361 Module 7 Calibration Studies and Inference Based on Simple Linear Regression Reading: Section 2.5 of Revised SQAME Prof. Steve Vardeman and Prof. Max Morris Iowa State University Vardeman and Morris

More information

Setting up a Multi sine impedance measurement

Setting up a Multi sine impedance measurement Setting up a Multi sine impedance measurement Case study: how do I setup a Multi Sine impedance measurement? 1 Single sine vs Multi sine Traditional electrochemical impedance spectroscopy measurements

More information

Ex-post and Ex-ante Predictive Models for Software Effort Estimation

Ex-post and Ex-ante Predictive Models for Software Effort Estimation Ex-post and Ex-ante Predictive Models for Software Effort Estimation 1 Outline + The effort estimation problem + Our approach + The organizational context + The technical context + The data collected +

More information

Developments in Electromagnetic Inspection Methods II

Developments in Electromagnetic Inspection Methods II 6th International Conference on NDE in Relation to Structural Integrity for Nuclear and Pressurized Components October 2007, Budapest, Hungary For more papers of this publication click: www.ndt.net/search/docs.php3?mainsource=70

More information

1. Section 1 Exercises (all) Appendix A.1 of Vardeman and Jobe (pages ).

1. Section 1 Exercises (all) Appendix A.1 of Vardeman and Jobe (pages ). Stat 40B Homework/Fall 05 Please see the HW policy on the course syllabus. Every student must write up his or her own solutions using his or her own words, symbols, calculations, etc. Copying of the work

More information

Structural equation modeling

Structural equation modeling Structural equation modeling Rex B Kline Concordia University Montréal D ISTQL Set D CFA models Resources o Bollen, K. A., & Hoyle, R. H. (202). Latent variable models in structural equation modeling.

More information

Tutorial on IMCTUNE Software

Tutorial on IMCTUNE Software A P P E N D I X G Tutorial on IMCTUNE Software Objectives Provide an introduction to IMCTUNE software. Describe the tfn and tcf commands for MATLAB that are provided in IMCTUNE to assist in IMC controller

More information

Remote Sensing 4113 Lab 08: Filtering and Principal Components Mar. 28, 2018

Remote Sensing 4113 Lab 08: Filtering and Principal Components Mar. 28, 2018 Remote Sensing 4113 Lab 08: Filtering and Principal Components Mar. 28, 2018 In this lab we will explore Filtering and Principal Components analysis. We will again use the Aster data of the Como Bluffs

More information

NanoMet Nanoparticle Diameter Example Report

NanoMet Nanoparticle Diameter Example Report NanoMet Nanoparticle Diameter Example Report For: Customer Name Address Contact Person Analysis runs performed on [DATE] by [USER] FullScaleNANO, Inc. 400 Capital Circle SE, Suite 18227 Tallahassee, FL

More information

Requiem for a Dream. On Advancing Human Rights via Internet Architecture. Farzaneh Badii and Milton Mueller

Requiem for a Dream. On Advancing Human Rights via Internet Architecture. Farzaneh Badii and Milton Mueller Requiem for a Dream On Advancing Human Rights via Internet Architecture Farzaneh Badii and Milton Mueller Summary Critical assessment of the belief that we can promote or protect HR through protocol standards

More information

PRICES OF THE LIBERTY STANDING QUARTER

PRICES OF THE LIBERTY STANDING QUARTER This document deals with the prices paid by collectors for quarters in the Liberty standing set, issued between 1916 and 1930. Year / Mint / Type Mintage Value 1916 52,000 14,690 1917 Type 1 8,740,000

More information

A.) Testy na jednotkové korene - DF test

A.) Testy na jednotkové korene - DF test PRÍLOHY PRÍLOHY 2 A.) Testy na jednotkové korene - DF test ADF Test Statistic -1.461475 1% Critical Value* -3.6496 Dependent Variable: D(LOGC95) ADF Test Statistic -5.708024 1% Critical Value* -3.6576

More information

Imperfections in Coordinating Facility Ratings between Operations, Planning and Maintenance

Imperfections in Coordinating Facility Ratings between Operations, Planning and Maintenance Imperfections in Coordinating Facility Ratings between Operations, Planning and Maintenance Nicholas Klemm Western Area Power Administration Rocky Mountain Region March 2012 Organizational Overview Western

More information

Performance Evaluation of Coordinated-Actuated Traffic Signal Systems Gary E. Shoup and Darcy Bullock

Performance Evaluation of Coordinated-Actuated Traffic Signal Systems Gary E. Shoup and Darcy Bullock ABSTRACT Performance Evaluation of Coordinated-Actuated Traffic Signal Systems Gary E. Shoup and Darcy Bullock Arterial traffic signal systems are complex systems that are extremely difficult to analyze

More information

Piecewise Linear Circuits

Piecewise Linear Circuits Kenneth A. Kuhn March 24, 2004 Introduction Piecewise linear circuits are used to approximate non-linear functions such as sine, square-root, logarithmic, exponential, etc. The quality of the approximation

More information

C C G Email: j_salimi@yahoo.com Email: hanafizadeh@gmail.com Email: a.jafari@atu.ac.ir /jfm. : DOI . Banks Financial Strength (FRS). Basel Committee on Banking Supervision. Barr & Siems. Bank for International

More information

Module 5. Simple Linear Regression and Calibration. Prof. Stephen B. Vardeman Statistics and IMSE Iowa State University.

Module 5. Simple Linear Regression and Calibration. Prof. Stephen B. Vardeman Statistics and IMSE Iowa State University. Module 5 Simple Linear Regression and Calibration Prof. Stephen B. Vardeman Statistics and IMSE Iowa State University March 4, 2008 Steve Vardeman (ISU) Module 5 March 4, 2008 1 / 14 Calibration of a Measurement

More information

Program Pin Measurement for External Involute Worms Introduction

Program Pin Measurement for External Involute Worms Introduction Program 60-1443 Pin Measurement for External Involute Worms Introduction This model calculates the measurement over pins for an involute helicoid worm. Measurement over pins is used extensively in the

More information

(and for Infinity-focused stereo viewers with lenses matching focal length of the camera lenses)

(and for Infinity-focused stereo viewers with lenses matching focal length of the camera lenses) . The Di Marzio-Davis Equations for Stereo Base Michael K. Davis http://www.accessz.com Mike Davis' enhancement of the Di Marzio Equation allows use of Depth of Field scales calculated with Circles of

More information

Iterative Joint Source/Channel Decoding for JPEG2000

Iterative Joint Source/Channel Decoding for JPEG2000 Iterative Joint Source/Channel Decoding for JPEG Lingling Pu, Zhenyu Wu, Ali Bilgin, Michael W. Marcellin, and Bane Vasic Dept. of Electrical and Computer Engineering The University of Arizona, Tucson,

More information

Analysis on the Current Situation of the Self-Innovation of China s Manufacturing Industry Based on Structural Equation

Analysis on the Current Situation of the Self-Innovation of China s Manufacturing Industry Based on Structural Equation International Journal of Business and Management; Vol. 8, No. 5; 203 ISSN 833-3850 E-ISSN 833-89 Published by Canadian Center of Science and Education Analysis on the Current Situation of the Self-Innovation

More information

Pattern Inspection with Variable Geometric Tolerance Limits

Pattern Inspection with Variable Geometric Tolerance Limits Pattern Inspection with Variable Geometric Limits From Disregarding to Fully Applying Variable Feature Bonus and Datum Shift s in a Pattern Inspection By Paul F. Jackson Variable Limit Specifications and

More information

IT and Entrepreneurism: An On-Again, Off-Again Love Affair or a Marriage?

IT and Entrepreneurism: An On-Again, Off-Again Love Affair or a Marriage? EDITOR S COMMENTS IT and Entrepreneurism: An On-Again, Off-Again Love Affair or a Marriage? By: Manlio Del Giudice Editor-in-Chief, Emme Review Professor of Management, Second University of Naples manlio.delgiudice@unina2.it

More information

Physics 2310 Lab #6: Multiple Thin Lenses Dr. Michael Pierce (Univ. of Wyoming)

Physics 2310 Lab #6: Multiple Thin Lenses Dr. Michael Pierce (Univ. of Wyoming) Physics 2310 Lab #6: Multiple Thin Lenses Dr. Michael Pierce (Univ. of Wyoming) Purpose: The purpose of this lab is to investigate the properties of multiple thin lenses. The primary goals are to understand

More information

ECE 304: Design of Simplified V BE -Multiplier Output Stage

ECE 304: Design of Simplified V BE -Multiplier Output Stage Schematic ECE 34: Design of Simplified BE Multiplier Output Stage PARAMETERS: CC = 15 DC = 9.56138 R_L = 1 _S = 1 R_T = 131.92913 R_B = 1274.334221 I_B = 2.96784314mA I_BIAS {I_B} P QN QnN R1 IN {R_T}

More information

NEW ASSOCIATION IN BIO-S-POLYMER PROCESS

NEW ASSOCIATION IN BIO-S-POLYMER PROCESS NEW ASSOCIATION IN BIO-S-POLYMER PROCESS Long Flory School of Business, Virginia Commonwealth University Snead Hall, 31 W. Main Street, Richmond, VA 23284 ABSTRACT Small firms generally do not use designed

More information