PLS-SEM bias: traditional vs consistent

Yıldız, Oğuz

doi:10.1007/s11135-021-01289-2

Cited by 11 publications

(2 citation statements)

References 48 publications

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“…Non‐response predisposition has potential to distort the assessment of measured concept factors (Yıldız, 2022). In order to assess the potential impact of non‐response bias, the researcher conducted a T ‐test to compare the average scores of variables between the first and last respondents (Kock, 2015).…”

Section: Resultsmentioning

confidence: 99%

The extrication of complex dynamics and the impact of government policies on tourism supply chain behavior for sustainable tourism in Zimbabwe

Chiwaridzo

2023

Sustainable Development

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In the global pursuit of balancing economic growth with environmental and social sustainability within the tourism sector, sustainable tourism has garnered paramount attention. This research delves into the complex interplay among government policies, tourism supply chain behavior, and sustainability dimensions within the context of Zimbabwean tourism. A quantitative approach was employed, collecting data from 721 Zimbabwean tourism supply chain representatives using stratified random sampling and the Krejcie and Morgan table a method of determining the sample size. Questionnaires were distributed via Google Forms, and structural equation modeling (SEM) was utilized for data analysis. The results provide strong empirical evidence that government policies have a significant positive effect on sustainability dimensions related to the tourism industry. The data indicates robust positive relationships between government policies and economic, environmental, and social sustainability. Furthermore, tourism supply chain behavior is shown to be a meaningful mediator between government policies and multiple sustainability outcomes. This emphasizes the significance of collaborative efforts, responsible practices, and harmonized actions within the tourism supply chain in achieving sustainable tourism. The study illuminates avenues for improving tourism sustainability, enhances policy makers and readers understanding on how policy‐driven efforts and tourism supply chain dynamics jointly impact tourism sustainability, there by emphasizing the need for coordinated actions.

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Section: Resultsmentioning

confidence: 99%

The extrication of complex dynamics and the impact of government policies on tourism supply chain behavior for sustainable tourism in Zimbabwe

Chiwaridzo

2023

Sustainable Development

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“…Partial Least Squares-Structural Equation Modelling was utilized in this research study since it considered beyond measurable doubt, to be the desired slant while dealing with complex structural and formative models (Hair et al, 2021;Yıldız, 2022;.…”

Section: Methodsmentioning

confidence: 99%

E-logistic Practices and Health Care Supply Chain Management for Public Referral Hospitals in Uganda

Kagoya

Mkwizu

2022

udslj

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This paper examined e-logistic practices and health care supply chain management in the context of Ugandan public referral hospitals. The prime objective was to examine the relationship between e-logistics operations and performance of health care supply chain management. A quantitative research approach was utilized to gather data from public referral hospitals respondents using structured survey questionnaires. For data analysis, descriptive statistics and Partial Least Squares-Structural Equation Modelling were utilised, aided by SmartPLS 3. Findings showed a positive significant relationship between e-logistics operations and performance of health care supply chain management in the context of Ugandan public referral hospitals. This study implies that the key e-logistics operations in relation to the performance of health care supply chain management, are central management of drugs, the correct order picking of drugs given to the right patients for quality control, and presence of an electronic system to update stock daily. Additionally, the findings designated that, e-logistics operations are related to the performance of health care supply chain management in terms of ICTs tracking systems and data transparency. The practical implication to the health sector- stakeholders, is to consider ICT-tracking systems and data transparency for e-logistics operations and performance of health care supply chain management.

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