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The purpose of this study is to construct a robust index and subindices to measure the quality of corporate governance for 266 firms listed in South Africa from 2004 to 2021.

Public information on the compliance of King Code of Good Corporate Governance is used to construct a main index predicated on provisions relating to board characteristics, accounting and auditing and risk management. These categories are transformed into three subindices. All constructs are scored with binary coding and equally weighted.

Cronbach’s alpha test reveals that the index and subindices are highly reliable measures of corporate governance. The principal component analysis supports the construct validity of all measures.

The index is limited to only three corporate governance subcategories and only focuses on South Africa.

These corporate governance indices provide governing authorities, policymakers, investors and other market participants direct information on the quality of corporate governance in South African firms.

As South Africa lacks a formal corporate governance indicator, the development of an appropriate corporate governance index and subindices contributes towards understanding the quality of corporate governance in South African firms. To the best of the authors’ knowledge, this is the first paper to conduct robustness tests on corporate governance indices designed for South African companies.

This chapter presents and discusses various steps to ensure empirical reliability and theoretical validity in the construction of competence scales in graduate surveys. The development of a scale to assess demands of the teacher profession and related abilities in graduates for a German tracer study project serves as an example. Confirmatory factor analysis (CFA), principal component analysis (PCA) and Cronbach’s coefficient alpha are employed to test the reliability of the scale. Differing results illustrate how the method applied influences decisions in the process of developing a scale. Our findings show that multidimensionality can only be tested appropriately by CFA; PCA renders no feasible or similar results to CFA depending on the predetermination of the number of factors; Cronbach’s alpha produces misleading results as the prerequisite assumption of unidimensionality is violated by the data.

The purpose of this study is to revisit the measures of internal consistency for multi-item scales in hospitality research and compare the performance of Cronbach’s α, omega total (ω_Total), omega hierarchical (ω_H), Revelle’s omega total (ω_RT), Minimum Rank Factor Analysis (GLB_fa) and GLB algebraic (GLB_a).

A Monte Carlo simulation was conducted to compare the performance of the six reliability estimators under different conditions common in hospitality research. Second, this study analyzed a data set to complement the simulation study.

Overall, ω_Total was the best-performing estimator across all conditions, whereas ω_H performed the poorest. α performed well when factor loadings were high with low variability (high/low) and large sample sizes. Similarly, ω_RT, GLB_fa and GLB_a performed consistently well when loadings were high and less variable as well as the sample size and the number of scale items increased. Of the two GLB estimators, GLB_a consistently outperformed GLB_fa.

This study provides hospitality managers with a better understanding of what reliability is and the various reliability estimators. Using reliable instruments ensures that organizations draw accurate conclusions that help them move closer to realizing their visions.

Though popular in other fields, reliability discussions have not yet received substantial attention in hospitality. This study raises these discussions in the context of hospitality research to promote better practices for assessing the reliability of scales used within the hospitality domain.

Global warming and drastic environment fluctuations have given rise to worldwide emergency, demanding to discover the most unexplored area in the field of social responsibility that is, consumer social responsibility (CnSR). This study aims to define the novel term “CnSR” and its antecedents to accomplish long-term sustainability. An in-depth analysis is executed to discover key antecedents, and proposed tool validation is implemented with the help of the big size of consumer population.

Primary data are collated using consumer responses, and reliability statistics were analyzed implementing Cronbach's alpha, and factor analysis is performed for required validation.

Probing existing research, CnSR was mostly correlated with consumers’ ethical and moral behavior. The present work proposes a unique tool which has successfully revealed a broader approach resulting in four vital antecedents: environmental orientation (EO), ethical and moral disposition (EMD), spiritual orientation (SO) and orientation toward shared consumption (OSC). Cronbach's alpha is adopted to determine internal consistency of the survey and has showed precision of 0.953 which affirms accuracy of the proposed tool.

Splitting of EO using factor analysis into environmental oriented preference (EOP) and recyclable oriented preference (ROP) has indicated further required inputs for better understanding.

Sustainable issues were limited to corporates in the form of corporate social responsibility (CSR) activities. Present work demands consumer awareness about their consumption consequences and fix their responsibility to achieve long-term sustainability.

The present study is the first to identify the antecedents of CnSR and effectively demonstrates a tool for the same.

Construction accidents cause as much harm in Bangladeshi construction as it does globally. This study examines the primary causes of accidents and undertakes an impact assessment of neglecting safety protocols in construction projects in Bangladesh, funded publicly, privately and through a Public-Private Partnership (PPP).

Research was initiated with a comprehensive questionnaire from experts, sourcing data in Bangladesh's construction sector. Data analysis utilized Cronbach's alpha, relative important index and a fishbone diagram for causal visualization.

The study identified the three major causes of safety negligence as “Poor safety culture (RII = 0.857),” “Top management's inattention (RII = 0.825)” and “Lack of personal care (RII = 0.825).” Effects: “Rising project expenses (RII = 0.88),” “Increased medical costs (RII = 0.87)” and “Worker compensation expenses (RII = 0.87).” The study also used the Ishikawa-Fishbone and effect-flow diagrams to highlight accident causes/effects and compare their primary causes in PPP, public and private projects.

Research on construction safety in Bangladesh has mainly focused on identifying factors within specific construction sectors. Since the rules and regulations vary across these three sectors, different health and safety hazards may arise. As a result, this research fills a critical gap by providing a comparative study that examines the causes and impacts of different project types in the Bangladeshi construction industry. By pinpointing the result, this research aims to enhance the safety and well-being of the construction workers sector-wise, thereby contributing to the industry's sustainable growth.

Taking the perfect perspective of customers' satisfaction, this paper aims to investigate the elements affecting customer satisfaction in business-to-consumer (B2C) online retailing stores, which are divided into five non-monetary dimensions: trust, order fulfillment, website construction, excitement and interaction.

Due to distinguishing the suitability of the data, the authors used exploratory factor analysis (EFA). Next, the authors utilized confirmatory factor analysis (CFA) to check their validity. Then, the authors applied Cronbach's alpha to check the reliability of the elements. After that, the authors combined these five elements with structural equation modeling (SEM) to make a model. The authors also performed Friedman tests to prioritize the elements.

The results indicate that each element is undeniably significant and has an extraordinary impact on customers' satisfaction evaluation. Therefore, system providers and electronic retailers need to consider them on their websites to achieve marketing goals in the competitive online environments.

Electronic commerce has resulted in an essential change in B2C marketing, especially in the electronic retailing industry. Online suppliers need to satisfy their customers to receive competitive advantages and increase their income. The purpose of this study is to research the elements affecting customers' satisfaction in B2C online retailing stores.

The uniqueness of the pre-hospital setting and the need for quick decision-making confronts pre-hospital emergency personnel with various moral conflicts that can lead to moral distress (MD) in them. This study aimed to design a valid scale for the assessment of MD in emergency medical service (EMS) staff.

This exploratory mixed-method study was conducted among the EMS provider's community. In the qualitative section, data were gathered and analyzed with semi-structured interviews and conventional content analysis, respectively. The initial pool of items was formed and the primary scale was designed. In the quantitative section, a methodological study was carried out to determine the psychometric properties of the scale including qualitative-quantitative face validity, qualitative-quantitative content validity with content validity ratio and index (CVR/CVI), construct validity by exploratory factor analysis (EFA), and convergent validity, internal consistency (Cronbach's alpha/ Omega McDonald's/ floor and ceiling effect) and stability with intra-class correlation (ICC).

After interviews with 14 emergency technicians, the initial scale was designed with 60 items. Of the total items, 17 poor items were dropped during face and qualitative content validity. In the content validity phase, the items with CVR > 0.62, modified Kappa > 0.74 were retained, which eliminated 23 items. EFA was conducted with 20 items and lead to the 5 factors. The floor and ceiling effect for the whole scale was zero. Finally, the reliability of the scale was confirmed (a = 0.83, O = 0.86, ICC = 0.95).

The developed 20-item scale is a valid and reliable scale for the assessment of the MD in EMS providers.

The purpose of this project was to determine the validity and reliability of the Healthcare Quality Perception (HQP) questionnaire tool designed to capture employees' perceptions of healthcare quality in Indian hospitals.

Two hundred employees in private and public sector hospitals in India were randomly selected and given the HQP tool. It consisted of 38 Likert-scale items and six different subscales: (1) Planning and Documentation (n = 7); (2) Employee Participation in Quality Management Activities (n = 5); (3) Existence of Policies/Procedures/Guidelines (n = 5); (4) Quality and Patient Safety Management (n = 9); (5) Perceived Effect of Quality Improvement (n = 7) and (6) Training and Development Opportunities (n = 5). 156 completed questionnaires were received, demonstrating a 78% response rate. HQP tool subjected to statistical analysis to measure its reliability and validity. A p-value of less than 0.05 was considered as “significant.”

Factor analysis pulled out six factors that conjointly demonstrated 66.4 % of the variance in healthcare professionals' (HCPs') perception of healthcare service quality in selected Indian hospitals. The overall Cronbach's alpha coefficient was measured at 0.959 for internal consistency reliability. This study demonstrates that the identified six critical factors are important determinants influencing HCPs' perception of the quality of healthcare services in private and public sector hospitals in India.

This study provides evidence for the reliability and validity of the newly developed HCP Scale for the assessment of employee perception of the quality of services offered in selected hospitals in India, with potential applications in other contexts.

Sustainable supply chain management (SSCM) ensures integration of socially, environmentally and economically feasible practices in entire supply chain. SSCM principles can be implemented to improve efficiency and productivity of a system by different attributes of the system. The purpose of this article is to identify the most appropriate existing (SSCM) framework that can be implemented suitably in Indian smart manufacturing industries.

Validity and reliability analysis on the existing SSCM frameworks was carried out with the help of empirical data collected using questionnaire survey methodology from various Indian smart manufacturing organizations. The empirical data were gathered from various experts from top- and middle-level management in different smart manufacturing organizations across the country. Further, factor analysis was carried on the collected data to estimate the unidimensionality of each SSCM frameworks. Cronbach's alpha value was used to assess reliability of each framework. Subsequently, the frequency distribution analysis was done to obtain familiar elements in the segregated frameworks based on validity and reliability analysis.

The work observed that only five SSCM frameworks have shown unidimensionality in terms of the elements or constructs. The work further found that these segregated frameworks have not shown sufficiently high level of reliability. Additionally, this work attempted frequency distribution analysis and observed that there were very few elements which were being repeatedly used in numerous frameworks proposed by researchers. Based on the findings of this work, the work concluded that there is acute need of a new SSCM framework for Indian smart manufacturing industries.

This study gathered empirical data from 388 Indian smart manufacturing organizations. Thus, before generalizing the findings of the study across the sectors, there is a possibility of some more explication.

The main purpose of this article is to explore the feasibility of the existing SSCM frameworks in Indian smart manufacturing sector. The study also assumes that the manufacturing managers and executives may have the complete understanding on the existing sustainable manufacturing frameworks and a chance to executing proper suitable framework in the respective manufacturing organization.

This study aims to examine the reliability and validity of the Arabic version of the attribution questionnaire (AQ).

The AQ is designed to assess attitudes, affects and behavioral intentions related to a hypothetical person diagnosed with schizophrenia. The original English version was translated into Literary Arabic. A total of 310 students registered in different universities, with medical and paramedical establishments excluded completed the Arabic version of AQ. Reliability was tested using Cronbach’s alpha coefficients. Structural equation modeling was used to test hypothesized paths. Correlations among exogenous (e.g. responsibility) and endogenous (e.g. help) variables in the path were examined. Fit indicators were then examined for equations that were identified.

The results revealed that the Arabic version of AQ showed acceptable psychometric properties in the assessment of stigma in the Tunisian population. All factors of this Arabic version showed Cronbach’s alpha values equal to or greater than 0.72. Structural equation models for the responsibility and dangerousness models were mostly supported. The Arabic version of AQ is valid and reliable for the assessment of stigma in Tunisian and Arabic-speaking populations.

The Arabic version of AQ may be used to promote research on stigma toward people with mental illness in larger and more representative Tunisian and Arabic-speaking populations, which will help to further address the complex and multifaceted phenomenon of stigma toward people with mental illness.

This is the first validated stigma measure in the Tunisian socio-cultural context.