Testing for Cross-Situational-Consistency: A Confirmatory Factor Analytic Approach

Hemmelgarn, Anthony L.; James, Larry R.; Ladd, Robert T.; Mitchell, Terence R.

doi:10.1177/014920639502100108

Cited by 6 publications

(4 citation statements)

References 54 publications

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“…Theoretical analysis was used to establish a priori model that comprised the observed variables, the unobserved variables, and theoretical correlations among the variables. Good fits between the theoretical correlations and the empirical correlations computed from empirical data would confirm the accuracies of the theoretical correlations and the usefulness of the priori model (Hemmelgarn et al, 1995). In this study, the observed variables are the indicators of VAO BIM climate and the unobserved variables are its dimensions.…”

Section: Analytic Strategysupporting

confidence: 65%

Measuring Value-Added-Oriented Bim Climate in Construction Projects: Dimensions and Indicators

Zhang

Yuan

Xia

et al. 2020

Journal of Civil Engineering and Management

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A value-added-oriented (VAO) BIM climate is the organizational climate of BIM value-added. However, a lack of research on VAO BIM climate has thwarted progress on BIM knowledge systems. By using the socio-technical systems approach and the competing value approach, 12 dimensions and 39 indicators of a VAO BIM climate are proposed and tested using 306 questionnaires collected from workers engaged in BIM construction projects across China. Data was analyzed by confirmatory factor analysis. The results show that the proposed dimensions and indicators are highly reliable and valid. The VAO BIM climate is heavily influenced by autonomy, career development, and task orientation. The top 10 indicators were mainly related to participation, task orientation, and goal effectiveness. And the MWD-BIM, RCS-BIM, CDMT-BIM, and SMD-BIM were mistaken as key indicators of participation, autonomy, peer relations, and organizational adaptability, respectively. The proposed dimensions and indicators can be used to advance scholarly understanding and theory on BIM climate in construction projects through directing resource allocation, enhancing the understanding of human–BIM interactions, improving the BIM knowledge system and facilitating decision framework of BIM adoption. Practical implications for managers in construction projects are provided in the end.

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Section: Analytic Strategysupporting

confidence: 65%

Measuring Value-Added-Oriented Bim Climate in Construction Projects: Dimensions and Indicators

Zhang

Yuan

Xia

et al. 2020

Journal of Civil Engineering and Management

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Section: Methodsmentioning

confidence: 99%

“…The CFA is a statistical technique for verification of the factor structure of observed variables. It allows the testing of the hypotheses that there is a relationship between the observed variables and the corresponding latent constructs (Hemmelgarn et al, 1995;Schreiber et al, 2006;Strauss and Smith, 2009). In CFA the relationship patterns are hypothesized on basis of the theoretical knowledge or empirical research, or both in advance, which then is followed by the statistical hypothesis testing (Chan et al, 2007).The various factors that impact the use of CFA are the research hypothesis that is being tested, measurement instruments, sample size, multivariate normality, identification of parameters, missing data, outliers, or interpretation of the indices of model fit (Schumaker and Lomax, 1996).…”

Section: Confirmatory Factor Analysismentioning

confidence: 99%

An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Tambuskar¹,

Jain²,

Narwane

2023

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PurposeWith big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).Design/methodology/approachThe factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).FindingsA total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.Research limitations/implicationsThis research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.Practical implicationsThis research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.Social implicationsThe result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.Originality/valueThis research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.

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“…But traits only correlate with behavior across situations at r = +.30. Empirical results suggest methodological improvements could increase traits' predictive power if they are used to predict behavior in a specific-enough social context; if the social context from which the trait is inferred (previous context) and the social context that was being predicted (future context) are similar enough, then correlation coefficients rise above the modest mark of +.30, and traits become better predictors (Baird & Lucas, 2011;Hemmelgarn, James, Ladd, & Mitchell, 1995;Magnusson, 1976;Paunonen & Jackson, 1986;Van Mechelen, 2009).…”

mentioning

confidence: 99%

Exploring the Generalization Process from Past Behavior to Predicting Future Behavior

Harris

Lee

Thompson

et al. 2015

Behavioral Decision Making

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Substantial evidence in social psychology documents that traits predict behavior. Research in behavioral economics establishes prior behavioral information-the actual behavior of another person in the past-influences future decision making, suggestive of the role of traits in guiding future behavior, but agnostic to the specific psychological mechanism. Yet the entire generalization process from past behavior to predicting future behavior has not been fully explored. Additionally, previous paradigms do not adequately dissociate prediction from explanation, and provide participants with trait information, or rely on participants to generate the appropriate trait. Here, we combine literature and experimental approaches in social psychology and behavioral economics to explore the generalization process from prior behavior that guides future decisions. Across three studies utilizing consequential economic game paradigms and online questionnaires, an initial group of participants (employees) played a time estimation game and a charity donations game before a second group of participants (employers) viewed the behavior of the first group, then decided whether to invest in employees in a trust game and rock guessing game. Although participants infer trait warmth and competence from the behavioral information in the first two games, estimates of normative behavior predicted investment decisions on the warmth-relevant games better than trait inferences. These results dissociate generalizations guided by warmth and competence behavioral information, and question the extent to which traits always serve as heuristics to predict behavior.

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Testing for Cross-Situational-Consistency: A Confirmatory Factor Analytic Approach

Cited by 6 publications

References 54 publications

Measuring Value-Added-Oriented Bim Climate in Construction Projects: Dimensions and Indicators

Measuring Value-Added-Oriented Bim Climate in Construction Projects: Dimensions and Indicators

An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Exploring the Generalization Process from Past Behavior to Predicting Future Behavior

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