Implementation Success Model in Government Agencies

A recent presidential directive mandated that all U.S. government agencies establish a centralized identification system. This study investigated the impact of users’ involvement, resistance, and computer self-efficacy on the implementation success of a centralized identification system. Information System (IS) usage was the construct employed to measure IS implementation success. A survey instrument was developed based on existing measures from key IS literature. The results of this study indicated a strong reliability for the measures of all constructs (user involvement, computer self-efficacy, user’s resistance, and IS usage). Factor analysis was conducted using Principal Component Analysis (PCA) with Varimax rotation. Results of the PCA indicate that items of the constructs measured had high validity, while Cronbach’s Alpha for each factor demonstrates high reliability for all constructs measured. Additionally, results of a structural equations modeling analysis using Partial Least Square (PLS) indicate that computer self-efficacy and user involvement had positive significant impact on the implementation success. However, the results also demonstrated that user’s resistance had no significant impact on IS usage, while end user involvement had a strong negative impact on user’s resistance.

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Job Satisfaction and Turnover Intentions during Technology Transition

Information Resources Management Journal ◽

10.4018/irmj.2015100103 ◽

2015 ◽

Vol 28 (4) ◽

pp. 38-51 ◽

Cited By ~ 1

Author(s):

Richard D. Johnson ◽

Regina Yanson

Keyword(s):

Job Satisfaction ◽

Job Stress ◽

Self Efficacy ◽

Turnover Intentions ◽

User Involvement ◽

Intention To Leave ◽

Scanning System ◽

Using Data ◽

Core Self ◽

Computer Self Efficacy

Using data from 52 employees, this study investigated the relations among user involvement, core self-evaluations, computer self-efficacy, employee stress, job satisfaction, and intention to leave the organization during the implementation of a new barcode scanning system. The results revealed that core self-evaluations and user involvement were positively related to computer self-efficacy. In addition, core self-evaluations was negatively related to job stress, but user involvement was not. The results further showed that job stress was negatively related to job satisfaction. Finally, job stress and job satisfaction were each negatively related to intentions to leave the organization. Implications for theory and managers are discussed.

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Job Satisfaction and Turnover Intentions During Technology Transition

Social Issues in the Workplace ◽

10.4018/978-1-5225-3917-9.ch012 ◽

2017 ◽

pp. 246-260

Author(s):

Richard D. Johnson ◽

Regina Yanson

Keyword(s):

Job Satisfaction ◽

Job Stress ◽

Self Efficacy ◽

Turnover Intentions ◽

User Involvement ◽

Intention To Leave ◽

Technology Transition ◽

Using Data ◽

Core Self ◽

Computer Self Efficacy

Using data from 52 employees, this study investigated the relations among user involvement, core self-evaluations, computer self-efficacy, employee stress, job satisfaction, and intention to leave the organization during the implementation of a new barcode scanning system. The results revealed that core self-evaluations and user involvement were positively related to computer self-efficacy. In addition, core self-evaluations was negatively related to job stress, but user involvement was not. The results further showed that job stress was negatively related to job satisfaction. Finally, job stress and job satisfaction were each negatively related to intentions to leave the organization. Implications for theory and managers are discussed.

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Construction and Validation of the Career and Educational Decision Self-Efficacy Inventory for Secondary Students (CEDSIS)

Journal of Psychoeducational Assessment ◽

10.1177/0734282916674135 ◽

2016 ◽

Vol 36 (2) ◽

pp. 162-174 ◽

Cited By ~ 2

Author(s):

Esther Sui Chu Ho ◽

Kwok Wing Sum

Keyword(s):

Secondary Students ◽

Self Efficacy ◽

High Reliability ◽

Principal Component ◽

Self Esteem ◽

Model Fit ◽

Career Decision Making ◽

Educational Decision ◽

Confirmatory Factor ◽

Positive Correlations

This study aims to construct and validate the Career and Educational Decision Self-Efficacy Inventory for Secondary Students (CEDSIS) by using a sample of 2,631 students in Hong Kong. Principal component analysis yielded a three-factor structure, which demonstrated good model fit in confirmatory factor analysis. High reliability was found for the whole scale and each subscale, and construct validity was exhibited by the positive correlations with general self-esteem. Overall, evidence indicates that CEDSIS is a valid and reliable tool for effectively and efficiently assessing the educational and career decision-making self-efficacy of secondary students. Finally, implications and limitations of this study are discussed.

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Self Efficacy on Work at Government Agencies in Bandung, Indonesia

International Journal of Research in Business and Social Science (2147-4478) ◽

10.20525/ijrbs.v6i6.732 ◽

2017 ◽

Vol 6 (6) ◽

pp. 1-8

Author(s):

Senen Machmud

Keyword(s):

Job Satisfaction ◽

Self Efficacy ◽

Structural Equation ◽

Sampling Technique ◽

Positive Influence ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Government Agencies ◽

High Level

This study aims to determine the effect of self-efficacy towards work perception and job satisfaction. The population of this study is the employees of government agencies in Bandung, Indonesia. The total samples are 117 employees with purposive sampling technique. This study uses Partial Least Square-Structural Equation Modeling (SEM) for analyzing the data. The results showed that self-efficacy significantly influences the work perception and job satisfaction. Moreover, it is found that work perception has a significant effect on job satisfaction. It shows that the level of self-efficacy can increase the work perception and job satisfaction. It indicates that the high level of self-efficacy will be a positive influence on the behavior of employees in conducting their duties so that it can increase their job satisfaction.

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Modified Computer Self Efficacy Scale

PsycTESTS Dataset ◽

10.1037/t14073-000 ◽

2000 ◽

Author(s):

A. Durndell ◽

Zsolt Haag ◽

Heather Laithwaite

Keyword(s):

Self Efficacy ◽

Computer Self Efficacy

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Pemanfaatan CFSRv2 untuk Statistical Downscaling menggunakan Principal Component Regression dan Partial Least Square

Xplore Journal of Statistics ◽

10.29244/xplore.v8i1.275 ◽

2019 ◽

Vol 8 (1) ◽

Author(s):

Khairunnisa Khairunnisa ◽

Rizka Pitri ◽

Victor P Butar-Butar ◽

Agus M Soleh

Keyword(s):

Statistical Downscaling ◽

General Circulation ◽

Principal Component Regression ◽

Circulation Model ◽

Principal Component ◽

Meteorological Station ◽

Grid Size ◽

Partial Least Square ◽

Least Square ◽

Output Data

This research used CFSRv2 data as output data general circulation model. CFSRv2 involves some variables data with high correlation, so in this research is using principal component regression (PCR) and partial least square (PLS) to solve the multicollinearity occurring in CFSRv2 data. This research aims to determine the best model between PCR and PLS to estimate rainfall at Bandung geophysical station, Bogor climatology station, Citeko meteorological station, and Jatiwangi meteorological station by comparing RMSEP value and correlation value. Size used was 3×3, 4×4, 5×5, 6×6, 7×7, 8×8, 9×9, and 11×11 that was located between (-40) N - (-90) S and 1050 E -1100 E with a grid size of 0.5×0.5 The PLS model was the best model used in stastistical downscaling in this research than PCR model because of the PLS model obtained the lower RMSEP value and the higher correlation value. The best domain and RMSEP value for Bandung geophysical station, Bogor climatology station, Citeko meteorological station, and Jatiwangi meteorological station is 9 × 9 with 100.06, 6 × 6 with 194.3, 8 × 8 with 117.6, and 6 × 6 with 108.2, respectively.

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URGENSI AUDIT JUDGEMENT PADA POST CLEARANCE AUDIT

JURNAL PERSPEKTIF BEA DAN CUKAI ◽

10.31092/jpbc.v4i1.760 ◽

2020 ◽

Vol 4 (1) ◽

Author(s):

Masruri Muchtar ◽

Prasetya Utama

Keyword(s):

Self Efficacy ◽

Least Square ◽

Coefficient Of Determination ◽

Experience Level ◽

Level Of Education ◽

Future Studies ◽

Ordinary Least Square ◽

Audit Judgment ◽

Depth Interview ◽

Study Results

ABSTRACT:The auditor should have eminence audit judgment to support their assignment This research aims to provide empirical evidence that self-efficacy, experience, level of education, and skepticism have an impact on audit judgment. The population are auditors who had carried out post-clearance audit assignments. This research uses a quantitative approach by testing the theories and hypotheses that have been prepared. Ordinary least square (OLS) linear regression as an analytical model is used in this study. Results show that experience and education level have no impact on audit judgment, whereas self-efficacy and skepticism have a positive and significant impact on audit judgment. Efforts to improve self-efficacy and auditor skepticism are urgently needed. The coefficient of determination describes the variation of variables of self-efficacy, experience, level of education, and skepticism able to explain the variation of audit judgment variables by 51%. The remaining 49% is explained by other variables not involved in this study. Future studies may enhance with other variables and employ in-depth interview methods.Keywords: audit judgment, experience, level of education, post-clearance audit, self-efficacy, skepticism, post-clearance audit ABSTRAK:Auditor seyogyanya memiliki kemampuan audit judgment yang berkualitas guna mendukung penugasannya. Tujuan penelitian adalah memberikan bukti empiris bahwa efikasi diri, pengalaman, tingkat pendidikan, dan skeptisisme memiliki pengaruh terhadap audit judgement. Populasi dalam penelitian ini adalah auditor Direktorat Jenderal Bea dan Cukai (DJBC) yang pernah melakukan post clearance audit. Ini merupakan pendekatan kuantitatif yang menguji teori serta hipotesis yang telah disusun. Riset ini menggunakan regresi linear ordinary least square (OLS) sebagai model analisis. Hasil studi memperlihatkan pengalaman dan tingkat pendidikan tidak berpengaruh pada audit judgement, namun efikasi diri dan skeptisisme berpengaruh signifikan pada audit judgement. Implikasinya DJBC perlu memberikan perhatian khusus terhadap berbagai upaya dalam peningkatan efikasi diri dan skeptisisme auditor. Tulisan ini adalah pengembangan beberapa penelitian sebelumnya namun dalam konteks pengujian untuk jenis audit ketaatan. Nilai koefisien determinasi menggambarkan variasi variabel efikasi diri, pengalaman, tingkat pendidikan, dan skeptisisme dapat menjelaskan variasi variabel audit judgement sebesar 51%. Sisanya sebesar 49% dijelaskan oleh variabel lainnya yang tidak diujikan dalam tulisan ini. Dengan adanya keterbatasan waktu pada penelitian ini diharapkan mendorong penelitian berikutnya untuk dapat menyertakan beberapa variabel lain yang relevan dan melengkapinya dengan metode in-depth interview.Kata Kunci: bea dan cukai, efikasi diri, pengalaman, skeptisisme, tingkat pendidikan

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A Novel Validated Injectable Colistimethate Sodium Analysis Combining Advanced Chemometrics and Design of Experiments

Molecules ◽

10.3390/molecules26061546 ◽

2021 ◽

Vol 26 (6) ◽

pp. 1546

Author(s):

Ioanna Dagla ◽

Anthony Tsarbopoulos ◽

Evagelos Gikas

Keyword(s):

Design Of Experiments ◽

High Performance ◽

Similarity Index ◽

Principal Component ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Distance Measures ◽

Linear Regression Models ◽

Colistimethate Sodium

Colistimethate sodium (CMS) is widely administrated for the treatment of life-threatening infections caused by multidrug-resistant Gram-negative bacteria. Until now, the quality control of CMS formulations has been based on microbiological assays. Herein, an ultra-high-performance liquid chromatography coupled to ultraviolet detector methodology was developed for the quantitation of CMS in injectable formulations. The design of experiments was performed for the optimization of the chromatographic parameters. The chromatographic separation was achieved using a Waters Acquity BEH C8 column employing gradient elution with a mobile phase consisting of (A) 0.001 M aq. ammonium formate and (B) methanol/acetonitrile 79/21 (v/v). CMS compounds were detected at 214 nm. In all, 23 univariate linear-regression models were constructed to measure CMS compounds separately, and one partial least-square regression (PLSr) model constructed to assess the total CMS amount in formulations. The method was validated over the range 100–220 μg mL−1. The developed methodology was employed to analyze several batches of CMS injectable formulations that were also compared against a reference batch employing a Principal Component Analysis, similarity and distance measures, heatmaps and the structural similarity index. The methodology was based on freely available software in order to be readily available for the pharmaceutical industry.

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The inflammatory profile of cerebrospinal fluid, plasma, and saliva from patients with severe neuropathic pain and healthy controls-a pilot study

BMC Neuroscience ◽

10.1186/s12868-021-00608-5 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Mika Jönsson ◽

Björn Gerdle ◽

Bijar Ghafouri ◽

Emmanuel Bäckryd

Keyword(s):

Cerebrospinal Fluid ◽

Neuropathic Pain ◽

Pain Intensity ◽

Principal Component ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Therapeutic Interventions ◽

Healthy Controls ◽

Inflammatory Profile

Abstract Background Neuropathic pain (NeuP) is a complex, debilitating condition of the somatosensory system, where dysregulation between pro- and anti-inflammatory cytokines and chemokines are believed to play a pivotal role. As of date, there is no ubiquitously accepted diagnostic test for NeuP and current therapeutic interventions are lacking in efficacy. The aim of this study was to investigate the ability of three biofluids - saliva, plasma, and cerebrospinal fluid (CSF), to discriminate an inflammatory profile at a central, systemic, and peripheral level in NeuP patients compared to healthy controls. Methods The concentrations of 71 cytokines, chemokines and growth factors in saliva, plasma, and CSF samples from 13 patients with peripheral NeuP and 13 healthy controls were analyzed using a multiplex-immunoassay based on an electrochemiluminescent detection method. The NeuP patients were recruited from a clinical trial of intrathecal bolus injection of ziconotide (ClinicalTrials.gov identifier NCT01373983). Multivariate data analysis (principal component analysis and orthogonal partial least square regression) was used to identify proteins significant for group discrimination and protein correlation to pain intensity. Proteins with variable influence of projection (VIP) value higher than 1 (combined with the jack-knifed confidence intervals in the coefficients plot not including zero) were considered significant. Results We found 17 cytokines/chemokines that were significantly up- or down-regulated in NeuP patients compared to healthy controls. Of these 17 proteins, 8 were from saliva, 7 from plasma, and 2 from CSF samples. The correlation analysis showed that the most important proteins that correlated to pain intensity were found in plasma (VIP > 1). Conclusions Investigation of the inflammatory profile of NeuP showed that most of the significant proteins for group separation were found in the less invasive biofluids of saliva and plasma. Within the NeuP patient group it was also seen that proteins in plasma had the highest correlation to pain intensity. These preliminary results indicate a potential for further biomarker research in the more easily accessible biofluids of saliva and plasma for chronic peripheral neuropathic pain where a combination of YKL-40 and MIP-1α in saliva might be of special interest for future studies that also include other non-neuropathic pain states.

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