scholarly journals Sustainable Project Management: Reducing the Risk of Cost Inaccuracy Using a PLS-SEM Approach

2022 ◽  
Vol 14 (2) ◽  
pp. 960
Author(s):  
Ali Foroutan Mirhosseini ◽  
Kelly Pitera ◽  
James Odeck ◽  
Morten Welde
Keyword(s):  
Project Management ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Large Scale ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Cost Performance ◽  
Planning And Construction ◽  
The Cost

Determining the factors leading to cost inaccuracy in infrastructure projects relates to sustainability by improving the cost performance of the projects (economic sustainability) and reducing the waste of available resources (environmental sustainability). This study investigates the effects of various factors affecting the cost performance of large-scale road projects in Norway in both the planning and construction phases. To this aim, a quantitative approach using a questionnaire survey was employed to understand the attitude of practitioners towards various factors causing cost increases. An advanced multivariate statistical approach of Partial Least Square Structural Equation Modeling (PLS-SEM) and Relative Importance Index (RII) was utilized to analyze the questionnaire responses. The results of the RII analysis show that local wishes, defective estimations, and long processing times had the most impact on the cost increase during the planning phase. At the same time, scope changes, market conditions, and unforeseen ground conditions were the most influential parameters in the construction phase. Moreover, the results obtained from PLS-SEM reveal that external related factors had the most influence among the other grouped factors (i.e., pre-construction, project management and contractual relationship, contractor’s site management, and external) on cost overrun during the construction phase. Increasing the knowledge of these factors will allow for developing relevant project management approaches targeted at improving economic and environmental sustainability within both the planning and construction phases.

Effect of Job-Insecurity, Organizational Commitment, Job Satisfaction on Turnover Intention: A Case Study of Newcomer Lecturers at Private Islamic Universities in East Java Province, Indonesia

2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Turnover Intention ◽  
Structural Equation ◽  
Job Insecurity ◽  
Partial Least Square ◽  
Least Square ◽  
Path Model ◽  
Equation Modeling ◽  
Pls Analysis

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.

A Partial Least Square Structural Equation Modeling: Prestige Perception in Tourism

2020 ◽  
Author(s):  
Murat Kayak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Destination Brand ◽  
The Relationship ◽  
Intention To Revisit ◽  
Brand Prestige

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.

Analysis of Natural Resources and Environment, Politico-Economic Conditions and their influences on Tourist Behavioural Intentions in Hunza: Mediating effect of Tourist Satisfaction

2020 ◽  
Vol 4 (4) ◽  
pp. 55-74
Author(s):  
Faqeer Muhammad ◽  
Kifayat Ullah ◽  
Rehmat Karim
Keyword(s):  
Natural Resources ◽  
Structural Equation ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Economic Conditions ◽  
Primary Data ◽  
Equation Modeling ◽  
Tourist Satisfaction

This study aims to explore the influence of Natural Resources and Environment (NRE), Politico-Economic Conditions (PEC) on Tourist Behavioral Intension (TBI) in Hunza, Pakistan. The study further investigates the mediating role of Tourist Satisfaction (TS) on the given variables. Partial Least Square Structural Equation Modeling (PLS-SEM) technique has been applied to conceptualize the research frame and to test the proposed hypotheses. Primary data was collected by using convenient sampling technique for analysis from 220 tourists who visited tourism nucleus sites of Hunza. The finding of the study reveals that Natural resources and Environment, Politico-and Economic Conditions have a significant positive impact on Tourist’s Behavioral Intensions. Moreover, Tourist’s Satisfaction partially mediates the positive relationships among Natural Resources and Environment, Political & Economic Conditions and Tourist’s Behavioral Intensions. The findings of the study extend the understanding that presence of natural resources along with healthy environment and stable political & economic conditions of a destination are the key determinants for sustainable tourism development.

TRANSPARANSI PAJAK DAN KEPERCAYAAN WAJIB PAJAK TERHADAP KEPATUHAN WAJIB PAJAK (SURVEI PADAWAJIB PAJAK KOTA DKI JAKARTA)

2019 ◽  
Vol 4 (1) ◽  
pp. 1-18
Author(s):  
Madjidainun Rahma
Keyword(s):  
Structural Equation Modeling ◽  
Random Sampling ◽  
Structural Equation ◽  
Sampling Technique ◽  
Target Population ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Research Results ◽  
Positive Effect

This research aims to identify and examine the effect of the Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance existing areas of Jakarta. The method used is descriptive and associative. Target population studied is Unit in Unit 14 Analysis of the Tax Office in the region of Jakarta. Sampling technique used is random sampling. Model influence analyzed using SEM (Structural Equation Modeling ) with alternative method PLS ( Partial Least Square ) which is aimed at testing the Influence between Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance that there diunit analysis has been given permission to conduct research. Results of the analysis showed that partially Tax Transparency and unsignificant positive effect on the Taxpayer Compliance. Similarly, the Trust Taxpayers partially positive and significant impact to the Taxpayer Compliance . Simultaneously Transparency and Trust Tax Taxpayers Against the Taxpayer Compliance effect, this means that the Tax and Trust trades Taxpayers together will increase the Taxpayer Compliance.   Keywords: Tax Transparency, Trust, Taxpayer Compliance.     Penelitan ini bertujuan untuk mengetahui dan menguji pengaruh Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada wilayah DKI Jakarta. Metode yang digunakan adalah deskriptif dan asosiatif. Populasi target yang diteliti ialah Satuan Kerja yang ada di Unit Analisis 14 Kantor Pelayanan Pajak diwilayah DKI Jakarta. Teknik sampel yang digunakan ialah random sampling. Model pengaruh di analisa menggunakan analisis SEM (Structural Equation Modeling) dengan metode alternative PLS (Partial Least Square) yang bertujuan menguji Pengaruh antara Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada diunit analisis yang telah diberi ijin untuk melakukan penelitian. Hasil analisis menunjukan bahwa Transparansi Pajak secara parsial berpengaruh positif dan tidak signifikan terhadap Kepatuhan Wajib Pajak. Begitu pula dengan Kepercayaan Wajib Pajak yang secara parsial berpengaruh positif dan signifikan terhadap Kepatuhan Wajib Pajak. Secara simultan Transparansi Pajak dan Kepercayaan Wajib Pajak berpengaruh Terhadap Kepatuhan Wajib Pajak, hal ini berarti bahwa dengan Transakasi Pajak dan Kepercayaan Wajib Pajak bersama-sama maka akan meningkatkan Kepatuhan Wajib Pajak.

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

Developing a Conceptual Framework using Exploratory Testing to Improve Software Quality in SME's

2018 ◽  
Vol 7 (4.1) ◽  
pp. 42
Author(s):  
Murugan Thangiah ◽  
Shuib Basri ◽  
Dhanapal Durai Dominic
Keyword(s):  
Conceptual Framework ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Exploratory Testing ◽  
Quantitative Analyses ◽  
Future Work

In order to create quality software with standards and agreeing principles, the Small and Medium Software Enterprises (SME’s) faces many challenges and issues due to variety of reasons. Starting from the requirement analysis phase, the challenges emerge and continue until the project nears its completion, before being released to the customers or stakeholders. Various issues surfaced during the SDLC phases are identified and analyzed in the study. A Conceptual Framework using Exploratory Testing has been developed based on the study and the quantitative analyses were conducted using survey questionnaire. In this research paper the data analysis of the quantitative survey is conducted using Partial Least Square Structural Equation Modeling.  The reliability and validity of the data is evaluated and presented in this paper which is essential to develop the conceptual framework. Further analysis of the survey questionnaire will be carried on and it will be reported in future work. 

Consumer Confusion in Mobile Application Buying

2014 ◽  
Vol 10 (4) ◽  
pp. 52-70 ◽  
Author(s):  
Tathagata Ghosh ◽  
Venu Gopal Rao
Keyword(s):  
Consumer Behavior ◽  
Structural Equation ◽  
Need For Cognition ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Consumer Confusion ◽  
Managerial Implications ◽  
Research Findings

This study aims to examine effects of consumer confusion proneness on two consumer behavior variables, word of mouth and buying decision, in a confusion prone product market like smartphone and mobile applications (app). Additionally, the study examines the moderating influence of a personality trait variable pertinent to information processing – need for cognition, on the afore-mentioned relationships. Data were collected via a survey from 254 post-graduate students and analyzed with the help of structural equation modeling with a partial least square (PLS) approach using SmartPLS 2.0. Research findings indicate that the dimensions of consumer confusion proneness behave differently in terms of their linkages with consumer behavior. Further, as expected, consumers' need for cognition also play a major moderating role which helps to fathom the concept of consume confusion in the context of mobile and smartphone applications. Academic and managerial implications as well as scope for future research are also discussed.

scholarly journals PATIENT CENTEREDNESS IN HEALTH CARE: PERSPECTIVES FROM AN EMPIRICAL INVESTIGATION

2018 ◽  
Vol 11 (8) ◽  
pp. 450
Author(s):  
Rejikumar G ◽  
Archana Ks
Keyword(s):  
Health Care ◽  
Patient Satisfaction ◽  
Service Quality ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Patient Centeredness ◽  
Personalized Health

Objectives: The objective of this study was to examine the formation of wellness perceptions and satisfaction from antecedents that explain various attributes regarding service quality perceptions about doctors by patients. The topic is of contemporary relevance as health-care firms are reengineering their competencies to deliver personalized health services to for unmatched experience to develop long-term relationships with patients.Methods: Responses from 280 patients about service quality attributes of doctors, wellness perceptions, and their satisfaction are collected using a structured questionnaire. An exploratory factor analysis was performed using SPSS. 20 to identify significant dimensions of doctor’s service quality. The theoretical model developed with these dimensions, wellness perceptions, and patient satisfaction was estimated using partial least square-based structural equation modeling approach to test hypotheses about linkages among these constructs.Results: The dimension structure of doctor’s service quality contained constructs such as “price affordability of medicines,” “quality of diagnosis,” “interaction quality of doctor,” “appropriateness of tests prescribed,” and “quality of usage prescriptions.” These service quality dimensions of doctor significantly develop wellness perceptions and satisfaction among patients. Wellness perceptions act as a mediator in satisfaction development.Conclusions: Patient satisfaction and wellness perceptions are of primary importance in improving service quality in health care and to remain competitive. The health-care firms should train their professionals to interact with the patients more efficiently by adhering to the philosophy of patient centeredness in their service process.

Sign in / Sign up

Export Citation Format

Share Document