scholarly journals A Pre-Test via Partial Least Square Structural Equation Modeling with the Influence of Organisational Structures and Organisational Internal Factors on Construction Risk Management Among Malaysian Construction Industries

2019 ◽  
Vol 8 (6S4) ◽  
pp. 402-406
Keyword(s):  
Risk Management ◽  
Pilot Study ◽  
Structural Equation ◽  
Construction Projects ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Internal Factors ◽  
Construction Risk

An increased demand has been placed on construction projects to be more accountable to their clients with measure to the company services and outputs. This demand is because of innumerable antecedent factors repelling risk management in construction projects. However, finishing the projects is not only the concern of the industries but also managing the risks involved with the projects. This paper investigated the effects of organizational structure and internal factors on the risk management among G7 contractors in Malaysia. The purpose of this study is threefold: (i) to propose an inclusive research model which comprises of the antecedent factors proposed in the model to improve effective risk management in Malaysia construction industries (ii) to serve as a validation process for the developed instrument of the on-going research with the identified constructs of the study (iii) to show the preliminary analysis and the results. A pilot study was conducted, data was collected and a total of thirty (30) respondents’ responses were analysed using a questionnaire of eighty-one items. This was conducted to access and validate how reliable the analytical tools (i.e PLS-SEM model) used in the survey were. The results obtained indicated that the reliability of the measurement model and the ensuing data for pilot study suggested a veritable evidence of their validity.

scholarly journals Cryptocurrency Acceptance: A Case of Malaysia

2019 ◽  
Vol 8 (5C) ◽  
pp. 28-38
Keyword(s):  
Pilot Study ◽  
Structural Equation ◽  
Online Survey ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Research Model ◽  
Community Group

Since the inception of the first cryptocurrency in 2008, cryptocurrency has been receiving global attention from the public, media, merchants and regulators. Although the general sentiment suggested cryptocurrencies which leverage on blockchain technology might eventually replace the paper currency as the mainstream currency, the Malaysian regulators are still unsure that a well-established cryptocurrency ecosystem can come into place anytime soon. Unfortunately, there is a lack of cryptocurrency acceptance study, particularly in Malaysia (developing country context). Hence, this paper aims to propose a research model that integrates cryptocurrency dimension antecedents with Unified Theory of Acceptance and Use of Technology2 (UTAUT2) constructs to examine the factors that influence cryptocurrency acceptance. This study employs a quantitative approach by collecting online survey questionnaire data through the means of cryptocurrency community group on social media. The survey instrument was reviewed by four experts from the field of blockchain and 36 responses have been gathered from individuals who have cryptocurrency knowledge for pilot study. To further evaluate the reliability and validity of the proposed measures, the measurement model was assessed using structural equation modeling (SEM) technique with partial least square approach (PLS). SmartPLS software was used for PLSSEM analyses. In this paper, the proposed research model contributes a high-level overview of and valuable insights into the potential cryptocurrency acceptance factors to regulatory bodies, practitioners as well as prospective cryptocurrency users. The findings of pilot study confirm that the measurement items and constructs in the proposed model are reliable and valid.

An Assessment of Risk Management Practices of SME Taxpayers in Malawi and their Impact on Tax Compliance

2018 ◽  
Vol 4 (4) ◽  
pp. 7-17 ◽  
Author(s):  
Stella Binauli Nanthuru ◽  
Liu Pingfeng ◽  
Nie Guihua ◽  
Victoria Lucas Mkonya
Keyword(s):  
Risk Management ◽  
Financial Performance ◽  
Structural Equation ◽  
Management Practices ◽  
Risk Mitigation ◽  
Tax Compliance ◽  
Value Added ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling

This study assesses understanding of Risk, and extent of risk management practices in Small and Medium Enterprise (SME) taxpayers in Malawi, subsequently, investigates their relationship with financial performance and tax compliance. The study focuses on unlimited business sectors of SME taxpayers which drew a representation of our sample of 324 SMEs, using Partial Least Square-Structural Equation Modeling (PLS-SEM) to analyze and test hypotheses. Results indicate that half of the SME taxpayers are aware of risks, but only 23% of respondents underwent any training on risk management. 90% of respondents revealed that tax rates are the most significant business constraint; value-added tax (VAT) being the most challenging tax to file. Most respondents identified risks through experience, with risk management practices centering on Chief Executive Officers. Empirical evidence on Path analysis and bootstrapping results established a significant relationship between understanding risks, risk management practices, financial performance and Tax compliance, which is positive, signaling a roadmap for risk mitigation if tax administration is to widen its SME tax net.

scholarly journals The Role of Government Support and User Innovativeness to Entrepreneurs (Case study of SME’s in Depok, Indonesia)

2020 ◽  
Vol 4 (2) ◽  
pp. 127-134
Author(s):  
Sasotya Pratama ◽  
Eka Sri Dana Afriza ◽  
Liza Agustina Maureen Nelloh
Keyword(s):  
Structural Equation ◽  
Positive Influence ◽  
Business Owners ◽  
Partial Least Square ◽  
Least Square ◽  
Government Support ◽  
Equation Modeling ◽  
Internal Factors ◽  
Role Of Government ◽  
Least Square Approach

This study aims to examine the influence of external and internal factors, in this case government support and owner-manager innovation, on the attitude of owner-managers of MSMEs towards FINTECH. This study uses the Structural Equation Modeling - Partial Least Square approach using SmartPLS version 3.2.4 to examine the research hypotheses. The respondents of this study were 64 MSME owner-managers in Depok, West Java. The study indicates that government support and owner-manager innovation have a significant and positive influence on their attitudes towards FINTECH. The imperative results of this study recommend FINTECH business owners to support government activities in inspiring and motivating MSME business owners in Depok to continue developing personal creativities that represent the innovations of each owner-manager of MSME.

scholarly journals MEASUREMENT MODEL OF CRITICAL SUCCESS FACTORS FOR ENERGY MANAGEMENT IN MALAYSIAN UNIVERSITY

2018 ◽  
Vol 5 (2) ◽  
pp. 55
Author(s):  
Alia Abdullah Saleh ◽  
Siti Norsazlina Haron ◽  
Nur Azfahani Ahmad ◽  
Nor Eeda Ali
Keyword(s):  
Energy Management ◽  
Structural Equation ◽  
Critical Success Factors ◽  
Success Factors ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Critical Success ◽  
The University

The increasing number of staff and students in Malaysian universities has led to consume energy excessively. The activities of the university's management to reduce the energy expenditure is critical, where critical success factors (CSFs) are the few issues that must be addressed as well as to ensure  the accomplishment of an organisation. Unfortunately, most Malaysian universities are lagging in determining the relationship of identifying CSFs for EM with KPIs towards a sustainable university. Therefore, this research focuses on critical success factors (CSFs) for energy management (EM) towards Malaysian sustainable university. This inquiry is broadened by taking a conceptual measurement model using Partial Least Square-Structural Equation Modeling (PLS-SEM). The assessment demonstrates that the construct of CSFs for EM which comprises of ‘Top Management Provision’, ‘Commitment from EM Team’, ‘Planned Maintenance Management’, ‘Consciousness’ and ‘Good Relationship among Stakeholders’ were maintained and some of the indicators relate to this construct were expelled. In conclusion, the findings obtained can assist the decision maker in the university to identify the areas that need improvement in order to increase the performance of EM. This study is very beneficial to all universities, especially universities in Malaysia which practice EM. The existing guidelines also can be improved so as to be more effective and able to be applied to all universities in Malaysia.

Development and validation of multi-factor employee engagement measuring instrument: a formative measurement model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Puneet Kumar ◽  
Nayantara Padhi
Keyword(s):  
Employee Engagement ◽  
Convergent Validity ◽  
Structural Equation ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Organizational Setting ◽  
Content Type

PurposeThe purpose of this study is to bring about an exhaustive measurement instrument of employee engagement and validate the same in Indian settings.Design/methodology/approachThis descriptive and cross-sectional study initiates with reviewing the available literature in the field of employee engagement to identify factors affecting and the corresponding items defining them. Following the discussion with experts and industry professionals, an instrument was, thus, obtained to administer the primary data from employees working in public and private power companies in India. The study used Partial Least Square-Structural Equation Modeling (PLS-SEM) 3 to demonstrate employee engagement as a first-order reflective and second-order formative construct. Thereafter, reliability and convergent validity were assessed to validate the instrument.FindingsThis paper conceptualized employee engagement as a multi-factor construct (nine in numbers). The factors are “Respect”, “Supervisor's support and recognition”, “Growth and development”, “Creative and challenging job”, “Job significance”, “Perceived self-worth”, “performance evaluation and recognition” and “Organizational bureaucracy”. These factors are exhaustive and collectively define employee engagement. Distortion or omission in any of these items may distort the nature of construct as well.Originality/valuePrevious studies have defined the concept of employee engagement as unidimensional and thus observe serious lacunas. This study identified employee engagement as a multi-factor construct that incorporates the exhaustive nature of the organizational setting. Not only this study adds value to the existing body of knowledge in the field of employee engagement but also specify the measurement model as a formative one concerning employee engagement.

scholarly journals The influencing factors of self directed learning readiness and academic achievement

2018 ◽  
Vol 2 (1) ◽  
pp. 153-166
Author(s):  
Nurjannah Ramli ◽  
Pudji Muljono ◽  
Farit M Afendi
Keyword(s):  
Academic Achievement ◽  
Structural Equation ◽  
Partial Least Square ◽  
External Factors ◽  
Least Square ◽  
Equation Modeling ◽  
Self Directed Learning ◽  
Internal Factors ◽  
Learning Readiness ◽  
Directed Learning

FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP SELF DIRECTED LEARNING READINESS DAN PRESTASI AKADEMIKAbstrakPenelitian ini bertujuan untuk menganalisis pengaruh karakteristik mahasiswa, faktor internal, dan faktor eksternal terhadap self directed learning readiness (SDLR) dan prestasi akademik mahasiswa serta menganalisis pengaruh SDLR terhadap prestasi akademik mahasiswa. Penelitian dilakukan dengan menggunakan desain survei terhadap 111 mahasiswa tahun ke-IV Program Studi Sarjana Kedokteran Universitas Tadulako dengan menggunakan instrumen berupa kuesioner untuk mengukur faktor internal, faktor eksternal, dan SDLR. Indeks prestasi kumulatif (IPK) mahasiswa digunakan untuk mengukur prestasi akademik. Data dianalisis secara kuantitatif dengan menggunakan alat bantu analisis Structural Equation Modeling (SEM) dengan metode alternatif berbasis variance atau component based SEM yang disebut Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa karakteristik mahasiswa dan faktor internal berpengaruh secara signifikan terhadap SDLR dan prestasi akademik mahasiswa, sedangkan faktor eksternal tidak berpengaruh terhadap SDLR dan prestasi akademik mahasiswa. Faktor yang memberikan pengaruh yang lebih tinggi terhadap SDLR dan prestasi akademik mahasiswa adalah faktor internal. Hasil penelitian juga menunjukkan bahwa SDLR tidak berpengaruh terhadap pencapaian prestasi akademik mahasiswa. AbstractThis study was aimed at analyzing the influence factors of student characteristics, the internal factors, and external factors of self-directed learning readiness (SDLR) and student academic achievement as well as the influence factors of SDLR on student academic achievement. This study was conducted by using a survey design on 111 students of the fourth year of Tadulako University Medical Undergraduate Program by using questionnaires to measure internal factors, external factors, and SDLR. The students’ cumulative grade point (GPA) was used to indicate academic achievement. The data were analyzed quantitatively using Structural Equation Modeling (SEM) analysis tools with alternative variance or component based SEM method called Partial Least Square (PLS). The results show that the characteristics of the students and the internal factors significantly affect the SDLR and the students’ academic achievement, while the external factors have no effect on the SDLR and the students’ academic achievement. The factors that have a higher effect on SDLR and student achievement are internal factors. The results also show that SDLR does not affect the students’ academic achievement.

scholarly journals Community Safety Behavior in Response to Coronavirus Pandemic

2021 ◽  
pp. 105413732110339
Author(s):  
Ruqia Khan ◽  
Tayyba Fatima ◽  
Thurasamy Ramayah ◽  
Tahir M. Awan ◽  
Zakia K. Kayani
Keyword(s):  
Structural Equation ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Perceived Barriers ◽  
Community Safety ◽  
Equation Modeling ◽  
Safety Behavior ◽  
Online Questionnaire ◽  
The Impact

The purpose of this study is to explore the behavior and lifestyle of individuals in response to the coronavirus that the safety behavior of people in the coronavirus disease of 2019 pandemic. Hence, the study integrates the theory of planned behavior and the health belief model to understand the behavioral change in response to the coronavirus pandemic. The current study is qualitative therefore, a survey-based online questionnaire was used for data collection from university students and staff (faculty and nonfaculty) residing in top-tier cities of Pakistan, nonprobability convenient sampling was used to approach the audience. A two-stage approach was used to test the model using partial least square (variance-based structural equation modeling). The reliability and validity of the measurement model indicate that the data is reliable and valid. Outcomes prove all the relationships as proposed by the study, except for the impact of perceived barriers on intention and individual safety behavior. Perceived barriers act as obstacles that abstain individuals from following the standard operating procedures. The research agenda provides new insights into the fields of marketing, health care, consumer behavior, and behavioral studies. It contributes to the existing literature in the field of social marketing by studying the behavior and changes in the behavior of people in the global pandemic.

scholarly journals A Construct Validation Approach for Exploring Sustainability Adoption in Pakistani Construction Projects

Buildings ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 207
Author(s):  
Mehfooz Ullah ◽  
Muhammad Waris Ali Khan ◽  
Ammar Hussain ◽  
Faisal Rana ◽  
Asadullah Khan
Keyword(s):  
Developing Countries ◽  
Construction Projects ◽  
Measurement Model ◽  
Higher Order ◽  
Second Order ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Construction Firms ◽  
Order Construct

Sustainable Project Management (SPM) is a novel theme in construction industries of developing countries and very little is known (so far) about the sustainability performance of construction projects in those settings. Accordingly, the quantitative measurement of SPM as a higher-order construct is not well established and lacks a holistic approach and homogenous taxonomy of indicators. This study explores the SPM practices of construction firms by validating SPM as a second-order construct in the Pakistani construction industry. Data were obtained from 146 construction firms, which were then analyzed using partial least square structure equation modeling. Results of the first and second level measurement model assessments showed that construction firms practice SPM, with varying degrees of attention paid to three sustainability aspects. Environmental dimension surfaced as the most important, in-terms of practice and social sustainability as least. The analysis of the second-order measurement model yielded significant results, thus, validating the higher-order structure of SPM. This study contributes to the field by presenting one of the first studies of its kind by focusing on the sustainability practices of construction firms by using a higher-order design of SPM construct within the context of developing countries.

Application of PLS-SEM to Assess the Influence of Construction Resources on Cost Overrun

2013 ◽  
Vol 284-287 ◽  
pp. 3649-3656 ◽  
Author(s):  
Ismail Abdul Rahman ◽  
Aftab Hameed Memon ◽  
Nor Hazana Abdullah ◽  
Ade Asmi Abdul Azis
Keyword(s):  
Structural Equation ◽  
Construction Projects ◽  
Structural Model ◽  
Construction Material ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Mathematical Representation ◽  
Cost Overrun ◽  
Industry Success

Being resource-driven industry, success and failure of construction projects highly depend on resources. As construction industry is now-a-days facing major problem of cost overrun worldwide, this can be contributed by construction resource issues. Hence, this study aimed to assess impact of construction resource on project cost overrun. Structured questionnaire survey was carried out to understand the perception of construction practitioners. A total of 106 samples were collected. Partial Least Square (PLS) of Structural Equation Modeling (SEM) approach regarded as the graphical equivalent of a mathematical representation of relationship between dependant variable to explanatory variable was adopted for data analysis, as common methods of data analyze does not give insight of underlying relationships between various factors. In analyzing cause-effect relationships, PLS-SEM is a dominant approach to establish rigor in complex models. Smart PLS 2.0 software was used to test the relationship between resources and cost overrun. The developed structural model indicates that relationship between resource and cost overrun was satisfactory by having substantial explaining power (GoF=0.529) and 40% of the cost overrun was influenced with resources. The most significant resource was construction material. Hence, effective material planning and management is vital to improve potential construction cost overrun.

Modeling the robotics implementation barriers for construction projects in developing countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Ibraheem Albukhari ◽  
Adeyemi James Dada
Keyword(s):  
Structural Equation ◽  
Construction Projects ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Implementation Barriers ◽  
Content Type ◽  
Proposed Model ◽  
Solid Foundation

PurposeThe purpose of this paper is to evaluate the barriers militating against the adoption of robotics in the construction industry.Design/methodology/approachRobotics implementation barriers were obtained from the previous studies and then through questionnaire survey construction stakeholders in Nigeria evaluate these barriers. Consequently, these barriers were examined via the exploratory factor analysis (EFA) technique. Furthermore, a model of these barriers was implemented by means of a partial least square structural equation modeling (PLS-SEM).FindingsThe EFA results showed that these barriers could be categorized into two: cost and technology. Results obtained from the proposed model showed that platform tools were crucial tools for implementing cloud computing.Originality/valueThe novelty of this research work will be provided a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of robotics.

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