Evaluation of Determinants of Software Quality in Offshored Software Projects

2022 ◽  
pp. 1857-1883
Author(s):  
Ganesan Kannabiran ◽  
K. Sankaran
Keyword(s):  
Structural Equation Modeling ◽  
Software Quality ◽  
Significant Influence ◽  
Structural Equation ◽  
Project Managers ◽  
Equation Modeling ◽  
Software Projects ◽  
Specific Product ◽  
Is Projects

Successful offshoring engagements of Indian software vendors is increasingly dependent upon the quality of the projects delivered rather than cost considerations. However, delivering quality software is reliant on effective management of various organizational, technological and people aspects. This research is to identify and evaluate the determinants of quality on software projects delivered by vendors through offshoring. Data related to recently completed projects were collected through a survey of 440 project managers from Indian vendors. Based on structural equation modeling, the authors analyze the influence determinants on specific product quality attributes. It is found that, out of six determinants, technical infrastructure and process maturity have significant influence on most of the attributes of quality in offshored IS projects from India. The authors provide a set of implications for practice and directions for further research.

Evaluation of Determinants of Software Quality in Offshored Software Projects

2020 ◽  
Vol 11 (1) ◽  
pp. 32-54
Author(s):  
Ganesan Kannabiran ◽  
K. Sankaran
Keyword(s):  
Software Quality ◽  
Structural Equation ◽  
Project Managers ◽  
Equation Modeling ◽  
Effective Management ◽  
Process Maturity ◽  
Software Projects ◽  
Specific Product ◽  
Is Projects

Successful offshoring engagements of Indian software vendors is increasingly dependent upon the quality of the projects delivered rather than cost considerations. However, delivering quality software is reliant on effective management of various organizational, technological and people aspects. This research is to identify and evaluate the determinants of quality on software projects delivered by vendors through offshoring. Data related to recently completed projects were collected through a survey of 440 project managers from Indian vendors. Based on structural equation modeling, the authors analyze the influence determinants on specific product quality attributes. It is found that, out of six determinants, technical infrastructure and process maturity have significant influence on most of the attributes of quality in offshored IS projects from India. The authors provide a set of implications for practice and directions for further research.

scholarly journals KONTRIBUSI KUALITAS JASA, KEPERCAYAAN DAN KEPUASAN KONSUMEN DALAM MENCIPTAKAN LOYALITAS KONSUMEN

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Erwin Erwin ◽  
Tumpal J. R Sitinjak
Keyword(s):  
Quality Of Service ◽  
Structural Equation Modeling ◽  
Service Quality ◽  
Significant Influence ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Consumer Loyalty

<p>This study aims to examine the contribution of influence quality of service, trust, and consumer satisfaction in creating consumer loyalty.The object of this research is JNE Apartment Gading Nias. This study used a causal study using a questionnaire for data collection. For sampling, the method used is non probability sampling with judgment sampling technique The procedure used for model testing and data processing is the structural equation modeling using Linear Structural Relationship (Lisrel) method through software Lisrel 8.80.This research resulted the finding that the service quality have positive and significant effect to the trust, the quality of service have positive and significant effect to the consumer satisfaction, the quality of service have positive and significant influence to consumer loyalty, trust not influence to consumer loyalty, and consumer satisfaction have positive and significant influence to loyalty consumer.<br />Keywords: Service Quality, Trust, Consumer Satisfaction, Consumer Loyalty</p>

FEATURE,NILAI, KEPUASAN DAN LOYALITAS PELANGAN

2017 ◽  
Vol 2 (1) ◽  
pp. 45-52
Author(s):  
Iha Haryani Hatta
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Customer Value ◽  
Structural Equation ◽  
Equation Modeling ◽  
Relationship Of ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

The aim of this study was to determine the relationship of the features of the value, satisfaction, and customer loyalty; the effect on the value of customer satisfaction and loyalty; influence of satisfaction on customer loyalty. A total of 200 merchant PT. BANK XYZ as respondents was selected randomly. Analyses were performed using structural equation modeling (SEM). The analysis showed that the feature has a significant influence on customer value, but not for customer satisfaction and loyalty. The values has a significant influence on satisfaction, but not on customer loyalty. Satisfaction has a significant influence on customer loyalty. Discussion and conclusions described in the article. Keywords: features of the value, satisfaction, customer loyalty

scholarly journals Effects of Strategic Orientation on Performance of Telecommunication Sector in Nigeria

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Niyi Israel Akeke ◽  
◽  
Adenike Rita Akeke ◽  
Ayodeji Muyideen Awolaj ◽  
Mathew Olufemi Oyebanji
Keyword(s):  
Structural Equation Modeling ◽  
Significant Influence ◽  
Structural Equation ◽  
Strategic Orientation ◽  
Equation Modeling ◽  
Telecommunication Sector ◽  
Line Managers ◽  
Strategic Orientations ◽  
Using Data ◽  
Technology Orientation

The study explores the potential influences of strategic orientation constructs of entrepreneurial, market and technology orientations on telecommunication firms’ performance using data obtained through structured questionnaires from 57 line managers and 300 customers of these firms. The data collected were subjected to the structural equation modeling technique. The results revealed that strategic orientation has a positive significant relationship with firm performance. Specifically, it showed that only technology orientation has a significant influence on telecommunication firms’ performance. The study contributes to the understanding of the rationale behind which set of strategic orientations should be implemented for improved level of performance in the telecommunication sector.

scholarly journals MODEL PENlNGKATAN KlNERJA MELALUl BUDAYA ORGANlSASl, TEKNOLOGl lNFORMASl DAN KOMlTMEN ORGANlSASl PADA DOSEN lNTERNATlONAL WOMEN UNIVERSITY

2021 ◽  
Vol 15 (1) ◽  
pp. 57-66
Author(s):  
Dadang Munandar
Keyword(s):  
Information Technology ◽  
Organizational Culture ◽  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Random Sampling ◽  
Structural Equation ◽  
Equation Modeling ◽  
University Lecturers ◽  
International Women

Abstrak - Pendidikan digunakan sebagai tolok ukur untuk menilai kualitas sumber daya manusia sekaligus penentu kualitas bangsa. Kualitas generasi  unggul dan mampu bersaing akan lahir dari proses Pendidikan. Budaya organisasi dan teknologi informasi yang dibarengi dengan komitmen organisasi dosen merupakan model pemetaan perguruan tinggi untuk menghasilkan kinerja optimal. Menyadari akan pentingnya model tersebut, maka permasalahan belum tercapainya kinerja dosen, merupakan permasalahan yang harus diselesaikan melalui model pemetaan peningkatan kinerja. Metode yang digunakan adaIah metode deskriptif dengan pendekatan kuantitatif. PopuIasi penelitian ini adalah seluruh Dosen International women University, melalui teknik sampIing proporsional random sampling dan rumus slovin, maka diperoleh sampel sebesar 88 dosen. Pengumpulan data dilakukan melalui kuesioner dan wawancara, selanjutnya analisis menggunakan structural equation modeling (SEM).  Hasil penelitian menunjukkan bahwa Kinerja Dosen International Women University dipengaruhi secara simultan maupun parsial oleh Budaya Organisasi, TeknoIogi Informasi, dan Komitmen organisasional. Dari ketiga variable, komitmen organisasional memberikan kontribusi tertinggi, sedangkan kontribusi terendah ditentukan oleh teknologi informasi. Abstract - Education is used as a measurement to assess the quality of human resources as well as a determinant the quality of the nation. The quality of a excellent generation and able to compete will be exist from the education process. Organizational culture and information technology followed by lecturers' organizational commitment is a model for higher education mapping to produce optimal performance. Realizing the importance of this model, the problem of not achieving lecturer performance is a problem that must be solved through a performance improvement mapping model. The method used is a descriptive method with a quantitative approach. The population of this research is all Lecturers of International Women's University, using the technique of proportional random sampling and Slovin formula, a sample of 88 lecturers was obtained. Data was collected through questionnaires and interviews, then analysis using structural equation modeling (SEM). The results show that the performance of International Women University Lecturers is influenced simultaneously or partially by Organizational Culture, Information Technology, and Organizational Commitment. From the three variables, organizational commitment shows the highest contribution, while the lowest contribution is determined by information technology.

scholarly journals Workplace Violence Against Chinese Frontline Clinicians During the COVID-19 Pandemic and Its Associations With Demographic and Clinical Characteristics and Quality of Life: A Structural Equation Modeling Investigation

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuan Yang ◽  
Yue Li ◽  
Ying An ◽  
Yan-Jie Zhao ◽  
Ling Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Structural Equation Modeling ◽  
Workplace Violence ◽  
Structural Equation ◽  
Emotional Disturbances ◽  
World Health ◽  
Equation Modeling ◽  
Life Questionnaire ◽  
World Health Organization Quality

Background: Workplace violence is a major concern for clinicians worldwide. There has been little data on the epidemiology of workplace violence against frontline clinicians during the COVID-19 pandemic. This study examined the pattern of workplace violence and its association with quality of life (QOL) against frontline clinicians during the outbreak of COVID-19 pandemic in China.Methods: A cross-sectional online study was conducted in China between March 15 and March 20, 2020. Frontline clinicians' experience with workplace violence was measured with six standardized questions derived from the Workplace Violence Scale, while anxiety, depressive, and insomnia symptoms, and QOL were measured using the General Anxiety Disorder Questionnaire, the Patient Health Questionnaire, the Insomnia Severity Index, and the World Health Organization Quality of Life Questionnaire, respectively. Univariate analyses, multivariable logistic regression analyses, and structural equation modeling (SEM) were conducted.Results: A total of 15,531 clinicians completed the assessment; 2,878 (18.5, 95% CI = 17.92–19.14%) reported workplace violence during the outbreak of the COVID-19 pandemic (verbal violence: 16.1%; physical violence: 6.9%). According to multivariable models, key correlates of workplace violence were male gender, longer work experience, higher education level, smoking, working in the psychiatry or emergency department, working in tertiary hospitals, being involved in direct care of infected patients, having infected family/ friends/ colleagues, and frequently using social communication programs. Clinicians working in inpatient departments were less likely to report workplace violence compared to those working in outpatient departments. SEM analysis revealed that both violence and emotional disturbances (anxiety, depression, and insomnia) directly affected QOL (standardized direct effect = −0.031, and −0.566, respectively, P &lt; 0.05), while emotional disturbances partly mediated the association between work violence and QOL (standardized indirect effect = −0.184, P &lt; 0.05).Conclusion: Frontline clinicians were vulnerable to workplace violence during the COVID-19 pandemic. Due to the negative impact of workplace violence on quality of care and clinicians' QOL, health authorities and policymakers should take effective measures to reduce workplace violence against clinicians.

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