The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance
Open accessAbstract
Study of digital capabilities and hospital supply chain process integration with performance implications in hospital contexts.
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Cites
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Claims the paper makes
10 of 66 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Digital technology alone has not been shown to improve organizational performance.
“However, as underlined by Marra et al. (2012), there is no evidence that digital technology in itself contributes to the performance of an organization.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Marra et al., 2012 source
Section 5.2 says the reviewed studies could not establish a correlation between IT solutions and firms’ growth, and calls for combining technology with management practices. But the review describes the evidence for a positive relationship as weak, not nonexistent, and its conclusions concern firms in a supply-chain context rather than organizational performance generally. Page numbers are not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Few empirical works examine big data's effect on green supply chain integration and environmental performance.
“Research exploring the impact of big data on the supply chain is still in its infancy, especially for the environmental dimension.”
- Also stated in: § 1. Introduction · plain
“With a few exceptions (e.g., Dubey et al., 2019a), empirical studies that have shown the impact of big data on the integration of green practices and environmental performances are still rare (Song et al., 2017).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Song et al., 2017 source
Section 2.6, “Green supply chain management” (page unavailable), discusses four papers on big data and sustainable supply chains and says they highlight further research directions. That supports the idea of a developing research area, but the source does not establish that supply-chain research is in its infancy or that empirical work is especially scarce on green supply chain integration and environmental performance. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites Dubey et al., 2019a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Also stated in: § 1. Introduction · plain
- Premisecitation
The PLS method is less impacted by model specification errors than covariance-based SEM.
“The PLS method can thus constitute an interesting alternative to estimate a more general model than SEM (Smart PLS) based on covariance, and it is less impacted by model specification errors (Henseler et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Henseler et al., 2015 source
The Introduction describes PLS as a variance-based SEM method, and the Objectives discuss its use in a discriminant-validity simulation. Neither passage compares PLS with covariance-based SEM for sensitivity to model-specification errors; searches for that comparison and for model misspecification found no supporting passage in our copy. Page numbers were not provided. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Findingown data
Green supply chain collaboration partially mediates the relationship between environmental process integration and environmental performance.
“This suggests a partial mediating effect of GSCC.In other words, EPI had both a direct and an indirect impact on EP through the mediating role of GSCC.”
- Also stated in: § -----------------------------------------------Table 4 -------------------------------------------------------5.2. Model testing results · hedged
“This suggests a partial mediating effect of GSCC.”
Quote in the paperSubstantial claim - Also stated in: § -----------------------------------------------Table 4 -------------------------------------------------------5.2. Model testing results · hedged
- Findingown data
Using BDA-AI technologies significantly affects environmental process integration in the studied hospitals.
“The findings showed that the use of BDA-AI technologies has a significant effect on environmental process integration and green supply chain collaboration.”
Quote in the paperSubstantial claim
- Findingown data
Green digital learning moderates the relationship between BDA-AI and green supply chain collaboration.
“The results highlight the moderating role of green digital learning in the relationships between BDA-AI and green supply chain collaboration, a major finding that has not been highlighted in the extant literature.”
Quote in the paperSubstantial claim - Findingown data
Environmental process integration significantly affects environmental performance in the studied hospitals.
“The study also underlined that both environmental process integration and green supply chain collaboration have a significant impact on environmental performance.”
Quote in the paperSubstantial claim - Findingown data
Using BDA-AI technologies significantly affects green supply chain collaboration in the studied hospitals.
“The findings showed that the use of BDA-AI technologies has a significant effect on environmental process integration and green supply chain collaboration.”
Quote in the paperSubstantial claim - Findingown data
Green supply chain collaboration significantly affects environmental performance in the studied hospitals.
“The study also underlined that both environmental process integration and green supply chain collaboration have a significant impact on environmental performance.”
Quote in the paperSubstantial claim - Findingown data
Green supply chain collaboration has a significant but low positive effect on hospital environmental performance (β = 0.250, t = 3.199).
“GSCC had a significant but low impact (β = 0.250; t = 3.199) on the hospital's EP (H7).”
Quote in the paperSubstantial claim - Findingown data
Environmental process integration has a positive effect on hospital environmental performance (β = 0.563, t = 8.070).
“Our hypothesis H6, which predicted that EPI positively influences EP, was confirmed, and the influence was statistically significant in view of the values taken by the t value (β = 0.563; t = 8.070).”
Quote in the paperSubstantial claim - Findingown data
Environmental process integration has a positive effect on green supply chain collaboration (β = 0.259).
“The results highlighted a positive influence of EPI on GSCC (H3) (β = 0.259; t = 1.1961).”
Quote in the paperSubstantial claim - Findingown data
BDA-AI use has a positive effect on green supply chain collaboration (β = 0.438, t = 4.144).
“the value of BDA-AI had a positive impact on GSCC (β = 0.438; t = 4.144)”
Quote in the paperSubstantial claim - Findingown data
BDA-AI use has a positive effect on environmental process integration (β = 0.619).
“the value of BDA-AI had a positive impact on GSCC (β = 0.438; t = 4.144) and on EPI (β = 0.619; t = 6.697).”
Quote in the paperSubstantial claim - Findingown data
Green digital learning orientation does not significantly moderate the relationship between BDA-AI and environmental process integration.
“we found that the effect of GDLO on the relationship between BDA-AI and EPI was not significant.”
Quote in the paperNot a substantial claim - Findingown data
Green digital learning orientation positively moderates the relationship between BDA-AI and green supply chain collaboration.
“The results of the analysis underlined a significant positive impact of GDLO on the relationship between BDA-AI and GSCC”
Quote in the paperSubstantial claim - Premisecitation
Using BDA for internal environmental integration in supply chain activities such as production, storage, and waste management enhances environmental performance.
“Academics have recognized the use of BDA in the internal integration of the environment in various supply chain activities, such as production, storage, and waste management, thereby enhancing environmental performance (Lee and Klassen, 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lee and Klassen, 2008 source
- Premisecitation
Big data analytics helps firms make efficient green supply chain operational decisions.
“Big data analytics enables organizations to make efficient decisions related to green operations in the supply chain by combining tools, techniques, and processes (Srinivasan & Swink, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Srinivasan & Swink, 2018 source
- Premisereasoning
BDA-AI use can help firms gather and use extra information for internal and external supply chain decisions.
“In this respect, we maintain that the use of BDA-AI technology can help organizations cultivate and exploit the additional information required to make internal and external supply chain decisions.”
Quote in the paperSubstantial claim- Rests on an assumption: Hospital supply chain operations face uncertain conditions tied to patient demand and unpredictable medical activities.
- Rests on an assumption: Hospitals have high interdependence between units, increasing organizational complexity.
- Premisecitation
In healthcare, the ability to process information enhances operations management and patient service quality.
“In the healthcare sector, information processing capacity improves the management of operations and patient service quality based on knowledge and the use of the appropriate technology (Srivastava and Singh, 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Srivastava and Singh, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Many organizations have not used BDA-AI effectively to spread green supply chain practices.
“In addition, despite the opportunities offered by BDA-AI, several organizations have failed to use it efficiently in the diffusion of green supply chain practices (Dubey et al., 2019c).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dubey et al., 2019c
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
BDA-AI application has been extended to external supply chain green practices through supplier selection and eco-design, strengthening environmental performance.
“The application of BDA-AI has been extended to green practices in the external supply chain by integrating supplier selection and eco-design to strengthen environmental performance (Raut et al. 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Raut et al. 2019 source
- Premisecitation
AI provides very precise forecasts of ambulatory hospital visits.
“Other benefits of AI include very precise forecasts of ambulatory hospital visits (Hadavandi et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hadavandi et al., 2012 source
- Study design and conductown data
The values of the model were greater than 0.7.
“The values of the model were greater than 0.7.”
Quote in the paperSubstantial claim - Premisecitation
PLS is more suitable for small samples of under 250 observations.
“On the other hand, it is more suitable for small samples of under 250 observations (Hair et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hair et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
Common method bias did not have a significant effect on this study.
“Based on these results, we concluded that CMB did not have a significant effect on this study.”
Quote in the paperSubstantial claim - Study design and conductown data
Various latent variables in the sample did not correlate significantly, with correlation coefficients close to zero.
“The analysis showed that various latent variables in our sample did not correlate significantly with correlation coefficients close to zero.”
Quote in the paperNot a substantial claim - Study design and conductown data
According to established guidelines for Harman's single-factor test, common method variance did not appear to be problematic.
“In accordance with established guidelines pertaining to Harman's single-factor test, CMV did not appear to be problematic.”
Quote in the paperNot a substantial claim - Study design and conductown data
A t-test applied to the responses of the two sub-samples did not reveal any significant statistical difference (p > 0.05).
“The t-test analysis applied to the responses of the two sub-samples did not reveal any significant statistical difference (p > 0.05).”
Quote in the paperSubstantial claim - Study design and conductcitation
Procedure and statistical remedies were implemented to prevent the occurrence of common method bias.
“To prevent the occurrence of common method bias (CMB), procedure and statistical remedies were implemented (Podsakoff et al. 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Podsakoff et al. 2003 source
- Premisecitation
Using information technologies improves coordination, standardization, and cooperation among internal functions.
“The use of information technologies has been empirically proven to improve coordination, standardization, and cooperation among internal functions (Zhao et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zhao et al., 2011 source
- Study design and conductown data
Non-response bias did not affect the model.
“Therefore, we conclude that the non-response bias did not affect the model.”
Quote in the paperNot a substantial claim - Study design and conductcitation
The reliability of internal consistency was verified by Cronbach's alpha and composite reliability.
“The reliability of internal consistency was verified by Cronbach's alpha and composite reliability (Chin, 1998).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chin, 1998
- Study design and conductown data
The model is free from common method bias.
“This indicates that the model is free from common method bias.”
Quote in the paperSubstantial claim - Study design and conductown data
The marker-variable technique showed minimal differences between manifest variables as measures for the latent method variable.
“We observed minimal differences between manifest variables as measures for the latent method variable.”
Quote in the paperNot a substantial claim - Study design and conductown data
The constructs had a good level of reliability according to Tenenhaus et al. (2005).
“Therefore, they had a good level of reliability according to Tenenhaus et al. (2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tenenhaus et al. (2005) source
- Interpretationreasoning
BDA-AI provides a major benefit for hospital facilities operating in an uncertain and dynamic environment.
“This is a major benefit of the BDA-AI for hospital facilities, which operate in an uncertain and dynamic environment.”
Quote in the paperNot a substantial claim - Interpretationreasoning
BDA-AI use by a healthcare facility supports decision-making for environmental initiatives.
“the use of BDA-AI by a healthcare facility improves supply chain collaboration and internal integration among departments and thus supports the process of decision-making for environmental initiatives.”
Quote in the paperSubstantial claim - Study design and conductown data
Convergent validity of the measurements was verified by examining the correlations or loadings of the measurements with their respective constructs.
“We verified the converging validity of the measurements by examining the correlations (or loadings) of the measurements with their respective constructs, as displayed in Table 3.”
Quote in the paperSubstantial claim - Study design and conductown data
The nomological validity of the model was satisfactory.
“the nomological validity of the model was considered satisfactory”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chin (1998)
- Interpretationreasoning
Hospitals with technological means and intelligent analytical capacity can mitigate uncertainties related to interdependence among units and the dynamic patient environment.
“hospitals with technological means and intelligent analytical capacity can mitigate the uncertainties related to the interdependence among units and to the dynamic environment of patients.”
Quote in the paperSubstantial claim - Interpretationown data
Decision-making based on innovative technologies improves the information processing capacities of internal hospital processes.
“our study shows that decisionmaking based on innovative technologies improves the information processing capacities of internal hospital processes.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Galbraith (1973)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Tushman and Nadler (1978)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: The application of OIPT in the study of hospital operations remains insufficiently studied.
- Interpretationown data
Effective integration processes strengthen green collaboration with external partners such as suppliers.
“If a company has an effective integration process, this strengthens its green collaboration with external partners, namely the suppliers.”
Quote in the paperSubstantial claim - Interpretationown data
The positive effect of BDA-AI was stronger on environmental process integration than on green supply chain collaboration.
“We noted that this impact was greater on EPI than on GSCC.”
Quote in the paperNot a substantial claim - Interpretationreasoning
BDA-AI can enhance the large-scale group decision-making approach to environmental process integration and green supply chain collaboration of hospitals in a fuzzy environment.
“BDA-AI can enhance the LSGDM approach to the environmental process integration and green supply chain collaboration of hospitals in a fuzzy environment.”
Quote in the paperSubstantial claim - Interpretationown data
Hospitals that collaborate closely with suppliers achieve better green performance.
“hospitals that collaborate closely with suppliers achieve better green performance.”
Quote in the paperSubstantial claim - Interpretationown data
Internal information sharing and cross-functional integration encourage healthcare facilities to implement an effective environmental policy.
“This hypothesis indicated that internal information sharing and cross-functional integration encourage healthcare facilities to implement an effective environmental policy.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 66
- May combine two claims. 27
Classified as probably not a substantial claim.
PremisecitationHow big data shapes decisions about green supply chain integration and environmental performance remains poorly established.
“However, the impact of big data on decision-making processes regarding green supply chain integration and environmental performance is not well established in the literature (Song et al., 2017).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Song et al., 2017 source
Section 2.6 (page unavailable) discusses big-data approaches to green supply chain management and mentions further research directions, but does not say that big data’s effects on decisions about supply chain integration and environmental performance are poorly established. Searches for green supply chain integration and for a research gap concerning environmental performance found no passage addressing that claim. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationThe evolution of environmental practices in an external direction is only possible when companies possess the capacity to internally coordinate and integrate their processes.
“In this area, the literature suggests that the evolution of environmental practices in an external direction is only possible when companies possess the capacity to internally coordinate and integrate their processes (Koufteros et al., 2005).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Koufteros et al., 2005 source
The Discussion reports that internal integration enables customer and supplier integration and says external integration probably would not occur without a facilitating internal system. The study concerns product-development practices, not the evolution of environmental practices, and its qualified language does not establish that internal coordination makes external evolution possible only under that condition. The supplied passages have section labels but no page numbers. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationData and knowledge need to be shared in real time among internal functions to understand and adapt to changing situations, particularly in dynamic organizations.
“Data and knowledge need to be shared in real time among internal functions to understand the changing situation and adapt to it in an appropriate way, particularly in dynamic organizations (Singh & El-Kassar, 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Singh & El-Kassar, 2019 source
The Theory and hypotheses section (p. 2) urges firms facing change to use real-time information, cross-functional relationships, and communication to reorganize knowledge. It does not specifically say that both data and knowledge must be shared in real time among internal functions. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA learning focus leads organizations to collaborate externally and be more cross-cutting internally, which makes it easier to share new knowledge.
“A learning focus leads organizations to collaborate externally and be more cross-cutting internally, which makes it easier to share new knowledge (Kumar et al., 2020).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kumar et al., 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBDA supported by new technologies is a means for sharing knowledge and making decisions within organizations.
“Acharya et al. (2018) report that BDA supported by new technologies is a means for sharing knowledge and making decisions within organizations.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Acharya et al. (2018) source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe literature positions internal integration mainly as a tangible resource and a formative antecedent of BDA use.
“the literature positions the role of internal integration mainly as a tangible resource and a formative antecedent of the use of BDA (Mikalef et al., 2020).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mikalef et al., 2020 source
The Research model and Measurements sections describe tangible resources as formative components of big data analytics capability (BDAC). They do not identify internal integration as a tangible resource or model it as a formative antecedent of BDA use; the paper models BDAC rather than BDA use. (LLM, conf=0.81)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLearning-oriented organizations open their borders to external sources to identify and assimilate new knowledge.
“The recent study by Kumar et al. (2020) shows that learning-oriented organizations open their borders to external sources to identify and assimilate new knowledge.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kumar et al. (2020) source
May combine two claims.
Findingown dataThe tested model explained 40.5% of the variance in green supply chain collaboration, 55.9% in environmental process integration, and 54.1% in environmental performance.
“R 2 for GSCC = 0.405, R 2 for EPI = 0.559, and R 2 for EP = 0.541”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAmong commercial buildings, hospitals rank second to catering in energy use.
“According to the Environmental Protection Agency (EPA), hospitals consume the highest amount of energy among commercial buildings after the catering industry (Johnson, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Johnson, 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMore than a quarter of U.S. hospitals reprocess equipment to cut disposable waste.
“These authors claim that over 25% of U.S. hospitals use reprocessing as a means to reduce the volume of disposable waste generated.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kwakye et al., 2010 source
Classified as probably not a substantial claim.
PremisecitationOIPT defines how an organization's structure should respond to uncertainty to achieve optimal performance.
“This theory defines how the structure of an organization should respond to uncertainty to achieve optimal performance.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Galbraith, 1974 source
- cites Tushman and Nadler, 1978
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationBig data analytics combined with artificial intelligence plays a critical role in green supply chain management by removing information asynchronization and handling complex environmental data.
“Big data analytics associated with artificial intelligence plays a critical role in GSC management by eliminating information asynchronization and managing complex environmental data (Wu and Pagell, 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wu and Pagell, 2011 source
May combine two claims.
PremisecitationHealthcare supply chains trail other sectors and suffer from weak activity integration, hindering green practice diffusion.
“The healthcare supply chain lags behind compared to supply chains in other sectors and is characterized by poor integration of activities, limiting the dissemination of green practices (Johnson, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Johnson, 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHospitals often pursue greener options but restrict them to some activities, not the whole supply chain.
“A study by Johnson (2010) concluded that hospitals tend to look for greener alternatives but they remain limited to certain activities and do not cover the entire supply chain.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Johnson, 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAI combined with BDA has proven effective for new drug design and development.
“In the area of hospital pharmacies, the combination of AI and BDA has already been proved effective, notably in the design and development of new drugs (Wang et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wang et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHospital-generated pollution poses pathological, pharmaceutical, chemical, radioactive, and safety risks.
“The pollution generated by hospitals causes numerous risks related to pathological, pharmaceutical, chemical, radioactive, and safety aspects (Kaplan et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kaplan et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationU.S. hospitals generate 6,600 tons of waste daily.
“In the United States, for example, hospitals produce 6,600 tons of waste per day (Kaplan et al., 2012)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kaplan et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOIPT emphasizes that a company evolves in a system that integrates several internal and external processes characterized by complexity and uncertainty.
“The OIPT emphasizes that a company evolves in a system, integrating several internal and external processes characterized by complexity and uncertainty (Thompson, 1967).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Thompson, 1967
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationBDA-AI provides insights for decision-making processes that improve green supply chain management and enhance environmental performance.
“It provides insights for decision-making processes to improve GSCM and enhance environmental performance (Dubey et al., 2016b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dubey et al., 2016b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHospitals use more energy than any other commercial building type.
“and consume more energy than any other type of commercial building (Singer & Tschudi, 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Singer & Tschudi, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationAn improved culture of sharing mutually useful interorganizational information can increase an organization's capacity to process data, strengthen collaboration, and reduce coordination uncertainties.
“According to Wong et al. (2015), an organization's capacity to process data could be increased by an improved culture of sharing mutually useful interorganizational information to strengthen the collaborative environment and reduce uncertainties related to coordination.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wong et al., 2015 source
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningBDA-AI can help embed environmental practices across internal and external supply chains, cutting waste and air pollution.
“Thus, BDA-AI offers a viable opportunity for integrating environmental approaches in the internal and external supply chains, thereby reducing waste and air pollution.”
Quote in the paperSubstantial claim- Rests on an assumption: Waste flow management is a major hospital challenge.
- Rests on an assumption: Although hospital managers are aware of green issues, their environmental implementation efforts stay limited.
Classified as probably not a substantial claim.
Study design and conductcitationA full collinearity test was used to test for pathological collinearity as a sign of common method variance.
“We supplemented the previous tests with a test for pathological collinearity, a sign for CMV, using the full collinearity test by Kock (2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kock (2015)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductown dataA Harman test showed that no single factor explained all of the variances of the items (41%) and that the first factor did not represent the majority of the variance.
“A Harman test showed that no single factor explained all of the variances of the items (41%) and that the first factor did not represent the majority of the variance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Harman test is the most widely used verification tool for common method bias.
“The literature indicates that the Harman test is the most widely used verification tool for CMB (Podsakoff et al., 2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Podsakoff et al., 2003 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe capacity to learn is an important antecedent for developing a collaborative environmental practice with suppliers.
“For Graham (2018), the capacity to learn is an important antecedent for developing a collaborative environmental practice with suppliers.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Graham (2018) source
May combine two claims.
InterpretationreasoningUsing BDA technologies helps hospitals exploit and process data from external and internal sources and creates opportunities for collaborating with suppliers in environmental decision-making.
“Following the same rationale as information processing, we support the idea that the use of BDA technologies help hospitals to exploit and process data from external and internal sources and also creates opportunities for collaborating with suppliers in the environmental decision-making process.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA GSCC approach strengthens the monitoring level of suppliers who commit to supplying and using equipment and raw materials that respect the environment.
“A GSCC approach strengthens the monitoring level of suppliers who commit to supplying and using equipment and raw materials that respect the environment (Seman et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Seman et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEach respondent was pre-selected through closed questions concerning their knowledge of big data functionalities in relation to the supply chain.
“We pre-selected each respondent through closed questions concerning their knowledge of big data functionalities in relation to the supply chain.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationInternal environmental integration can minimize waste and toxic emissions and promote the use of materials that respect the environment in manufacturing companies.
“The results of Zhu et al. (2012) confirm that internal environmental integration can minimize waste and toxic emissions and promote the use of materials that respect the environment in manufacturing companies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zhu et al. (2012) source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA second questionnaire was developed following corrections and modifications suggested at the end of the pre-test.
“A second questionnaire was developed following some corrections and modifications suggested at the end of the pre-test.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA learning focus encourages internal teams to voluntarily implement green action to improve environmental performance.
“A learning focus also encourages internal teams to voluntarily implement green action to improve EP (Jabbour, 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Jabbour, 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEvaluating a PLS model requires three main factors: determining the nature of the relationships between measurements and constructs, evaluating the reliability and validity of the measurements, and evaluating the final model.
“According to Hulland (1999), evaluating a PLS model requires three main factors: determining the nature of the relationships between the measurements and constructs, evaluating the reliability and validity of the measurements, and evaluating the final model.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hulland (1999)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe PLS approach has the capacity to solve a system of simultaneous equations representing a network of relationships and to estimate coefficients that quantify those relationships.
“The PLS approach was adopted because of its capacity to solve the system of simultaneous equations representing the network of relationships among the variables and, thus, to estimate coefficients that quantify these relationships (Tenenhaus, 1998).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tenenhaus, 1998
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIt is difficult for hospitals to measure their environmental performance.
“In the hospital sector, the study carried out by Oruezabala and Rico (2012) underlines how difficult it is for hospitals to measure their EP.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Oruezabala and Rico (2012) source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSeveral studies were used to operationalize the constructs of the conceptual model.
“For this purpose, several studies were used to operationalize the constructs of the conceptual model.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationAn external collaborative approach can help companies reduce waste, attain substantial environmental performance, and improve their green image.
“Similarly, Zhu et al. (2012) observe that an external collaborative approach can help companies reduce waste, attain substantial EP, and improve their green image.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zhu et al. (2012) source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningComments from the experts were included in the final survey instrument.
“These comments were included in the final survey instrument.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOf 520 surveys distributed, 181 completed surveys were received.
“Of the 520 surveys distributed, we received 181 completed surveys.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe academic literature was reviewed to guide the development of the questionnaire and the measurement scales of the model variables before purification.
“For this purpose, we reviewed the academic literature to guide us in the development of the questionnaire and the measurement scales of the model variables before purification (Dillman, 1978).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dillman, 1978
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationTechnological resources can play a key role in sharing information and knowledge with suppliers.
“Zhao et al. (2011) add that technological resources can play a key role in sharing information and knowledge with suppliers.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zhao et al. (2011) source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe hospitals in the sample were private and public and had different sizes in terms of the number of beds and the number of employees.
“The hospitals in the sample were private and public and had different sizes in terms of the number of beds and the number of employees.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationSupplier collaboration implies mutual engagement involving the sharing of resources and decision-making aimed at minimizing environmental impacts on the product development cycle.
“Supplier collaboration implies mutual engagement involving the sharing of resources and decision-making aimed at minimizing environmental impacts on the product development cycle (Yang et al., 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yang et al., 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEnvironmental process integration is a concern for companies when they organize communication resources and share information among departments.
“Environmental process integration is a matter of concern for companies when organizing their communication resources and sharing information among departments (Graham, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Graham, 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA glossary of key terms was provided to respondents to avoid confusion in understanding the questions.
“A glossary of key terms from our study was provided to respondents to avoid confusion in understanding the questions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA pre-test was carried out with seven experts who had experience in logistics and supply chain management in hospitals.
“We carried out a pre-test with seven experts who had experience in logistics and supply chain management in hospitals.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe early group included 98 respondents and the late group included 70 respondents.
“The early group included 98 respondents and the late group included 70 respondents.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationInternal integration has a direct impact on external integration.
“Many studies have noted the direct impact of internal integration on external integration (Flynn et al., 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Flynn et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataFour academics conducting research on healthcare supply chain and technology management were consulted to verify the content of the measures.
“In addition, we consulted four academics conducting research on the topic of healthcare supply chain and technology management to verify the content of the measures.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCompanies can use technologies such as AI to interpret and combine complex information from diverse sources.
“Dubey et al. (2019a) suggest that companies can use technologies such as AI to interpret and combine complex information from diverse sources.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dubey et al. (2019a)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationUsing BDA technologies creates greater visibility for interfunctional flows and a common alignment with organizational objectives.
“As a consequence, the use of BDA technologies creates greater visibility for interfunctional flows and a common alignment with the organization's objectives (Hofmann, 2017).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hofmann, 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationA first version of the questionnaire was reviewed and corrected by academics conducting research on healthcare supply chain and technology management to verify the content of the measures.
“At the end of the literature review, a first version of the questionnaire was reviewed and corrected by academics conducting research on the topic of healthcare supply chain and technology management to verify the content of the measures (DeVellis, 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites DeVellis, 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe questionnaire was emailed to seven experts who had experience in logistics and supply chain management in hospitals.
“The questionnaire was then emailed to seven experts who had experience in logistics and supply chain management in hospitals.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe interfunctional capacity of companies helps them achieve proactive environmental performance.
“Aragon-Correa and Sharma (2003) affirm that the interfunctional capacity of companies helps them to achieve proactive EP.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Aragon-Correa and Sharma (2003) source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe final sample size was 168, representing a response rate of 32%.
“Thus, the final sample size was 168, which represents a response rate of 32% (Malhotra & Grover, 1998).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Malhotra & Grover, 1998
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenRespondents were assured that their identity would be kept confidential.
“Respondents were assured that their identity would be kept confidential.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningInterfunctional and interorganizational collaboration on green issues ensures hospitals' environmental performance.
“In this article, we maintain that interfunctional, interorganizational collaboration on green issues ensures hospitals' EP.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThirteen surveys were excluded because they contained incomplete responses.
“We did not integrate 13 surveys because they contained incomplete responses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDigital learning is more effective because it encourages participative training of workers.
“For Sendlhofer and Lernborg (2018), digital learning is more effective because it encourages the participative training of workers, who can either learn on their own or in a group using videos and quiz-type activities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sendlhofer and Lernborg (2018) source
Classified as probably not a substantial claim.
PremisecitationInternal environmental integration allows companies to avoid disconnection and fragmentation between processes.
“Internal environmental integration allows companies to avoid any disconnection and fragmentation between processes (Yang et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Yang et al., 2013 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationPathological collinearity is suggested by variance inflation factors (VIF) higher than 3.3, indicating that the model could be loaded with common method variance.
“Kock and Lynn (2012) note that pathological collinearity is suggested by variance inflation factors (VIF) with a higher value than 3.3, indicating that the model could be loaded with CMV.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kock and Lynn (2012)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe questionnaire items of the survey were adapted from previous studies.
“The questionnaire items of the survey were adapted from previous studies.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationLearning can help organizations find the best ways to work and adopt a proactive environmental policy.
“learning can help organizations find the best ways to work and adopt a proactive environmental policy (Longoni et al., 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Longoni et al., 2018 source
May combine two claims.
Interpretationown dataBDA-AI use by a healthcare facility improves supply chain collaboration and internal integration among departments.
“the use of BDA-AI by a healthcare facility improves supply chain collaboration and internal integration among departments”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was limited to learning orientation at the environmental level.
“Our study was limited to the learning orientation at the environmental level”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe non-significant moderating effect of GDLO on BDA-AI→EPI may be related to GDLO's reduced focus on technical elements and hard skills used by decision-makers to improve internal process integration.
“This result may be related to the reduced focus of GDLO on the technical elements and hard skills often mobilized by decision-makers to improve the integration of internal processes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningExisting big data in hospitals is an asset that requires development in analysis and internal processing to reduce organizational complexity and support GSC initiatives.
“we consider that the existing big data in hospitals represent an asset that requires development in terms of analysis and internal processing to reduce the organizational complexity of hospitals and support GSC initiatives.”
Quote in the paperNot a substantial claim- Rests on an assumption: No empirical study has demonstrated the relationship between BDA-AI technologies and environmental internal integration in a hospital context.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenOIPT holds that aligning information processing capacities at both internal and external levels of the hospital supply chain strengthens environmental performance.
“the OIPT insists on the importance of aligning information processing capacities simultaneously at the internal and external levels of the hospital supply chain to strengthen environmental performance.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningInternal process activities can benefit from advanced medical activities in using BDA and AI to develop a robust environmental model.
“Activities of the internal processes (quality, purchasing, logistics, production, administration) can benefit from the advanced medical activities in terms of the use of BDA and AI to develop a robust environmental model.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationDiscriminant validity was verified if the shared variance between the latent variable and its indicators (AVE) was greater than the squared correlations of each variable with the other latent variables.
“The discriminant validity was verified if the shared variance between the latent variable and its indicators (AVE) was greater than the variances (squared correlation) of each variable with the other latent variables (Fornell & Larcker, 1981), as displayed in Table 4.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fornell & Larcker, 1981 source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe study's conclusions are specific to the French healthcare sector and may differ in other countries depending on technological capabilities and green organizational culture.
“our conclusions are specific to the French healthcare sector and thus could be different for other countries, depending on their technological capabilities and green organizational culture applied to supply chain operations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDigital learning is recommended for multidisciplinary and multi-stakeholder organizations.
“Sendlhofer and Lernborg (2018) recommend the use of digital learning in multidisciplinary and multi-stakeholder organizations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sendlhofer and Lernborg (2018) source
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningIn the era of big data, hospitals need green digital learning, in addition to good data and efficient information processing, to strengthen supplier collaboration and promote green practices.
“hospitals cannot succeed by only having access to good data and efficient information processing; they should also rely on green digital learning to strengthen collaboration and communication with suppliers and promote the co-construction of common ideas and initiatives for green practices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningDigitalization of learning is necessary to support stakeholder knowledge on green practices and improve environmental performance.
“the findings contribute to the literature on the central role of the digitalization of learning, which seems necessary to support the knowledge of stakeholders on green practices and the improvement of EP.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningHospitals with strong cross-functional integration enhance collaboration with suppliers and achieve better green performance.
“hospitals that provide strong cross-functional integration enhance collaboration with suppliers and achieve better green performance.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataBDA-AI contributes not only to treatment capacities with the supplier network but also to the hospital's internal process by creating a shared vision supporting environmental performance.
“BDA-AI participates not only to provide treatment capacities with the supplier network but also to the hospital's internal process by creating a shared vision supporting EP.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHospitals consist of several interest groups with different preferences, so decision-making requires consensus among stakeholders to integrate circular economy philosophy.
“Hospitals consist of several interest groups with different preferences; hence, the decisionmaking process requires consensus among stakeholders to ensure the integration of the circular economy philosophy (Jabbour et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Jabbour et al., 2019 source
The paper relies on this without support.
BDA-AI research is plentiful in medicine but rarely applied to hospital supply chain processes or green practices.
“However, though research on the link between BDA and AI is abundant at the medical level, it is scarcely mobilized in the improvement of hospital supply chain processes and, in particular, green practices.”
The paper relies on this without support.
Few studies have examined BDA-AI, internal and external integration, and environmental performance together.
“Nevertheless, the combination of these three mechanisms, namely BDA-AI, internal and external integration, and the impact on EP, has rarely been studied.”
The paper relies on this without support.
How organizational learning can support green supply chain practices remains unclear.
“However, the mobilization of organizational learning to support green practices in supply chains is not yet clearly understood.”
The paper relies on this without support.
OIPT has not been empirically tested on hospital green supply chains.
“However, this theory has not yet been empirically applied to the specific topic of hospital green supply chain.”
The paper relies on this without support.
Hospital supply chain operations face uncertain conditions tied to patient demand and unpredictable medical activities.
“In hospital organizations, supply chain operations depend on several uncertain conditions that change in line with patient demand and the unpredictability of medical activities.”
The paper relies on this without support.
Hospitals have high interdependence between units, increasing organizational complexity.
“In addition, hospitals share a high degree of interdependence between their different units, which increases organizational complexity.”
The paper relies on this without support.
Waste flow management is a major hospital challenge.
“The management of waste flows, for example, constitutes a major challenge for hospitals, because it involves a rigorous process of collection, sorting, transport, storage, processing, and disposal.”
The paper relies on this without support.
Although hospital managers are aware of green issues, their environmental implementation efforts stay limited.
“Despite the awareness of hospital managers about green issues and their growing interest in environmental approaches, their endeavors to implement environmental approaches remain restricted.”
The paper relies on this without support.
Hospital managers underuse available data for green decisions.
“Despite the wide range of sources available, hospital managers do not sufficiently exploit these data to support green decision-making.”
The paper relies on this without support.
No previous study has focused on how internal integration related to green collaborations with suppliers is taken into account in hospital management.
“Although GSCC has become a widely debated subject in academic research, no previous study has focused on how internal integration related to green collaborations with suppliers is taken into account in hospital management.”
The paper relies on this without support.
No studies have focused on the relationship between internal environmental integration and supplier collaboration in the hospital sector.
“Although this subject has been widely debated in the literature, no studies have focused on this relationship in the hospital sector.”
The paper relies on this without support.
BDA-AI is a key construct for managing intra- and inter-organizational environmental issues.
“Furthermore, BDA-AI is a key construct to manage intra-and inter-organizational environmental issues.”
The paper relies on this without support.
The application of OIPT in the study of hospital operations remains insufficiently studied.
“the application of the OIPT in the study of hospital operations remains insufficiently studied.”
The paper relies on this without support.
No empirical study has demonstrated the relationship between BDA-AI technologies and environmental internal integration in a hospital context.
“no empirical study has demonstrated the relationship between BDA-AI technologies and environmental internal integration in a hospital context.”
The paper relies on this without support.
Previous studies have not empirically investigated the relationships and complementarities among BDA-AI, GSCC, EPI, and EP specifically in the hospital context.
“previous studies have not empirically investigated the relationships and complementarities among the BDA-AI, GSCC, EPI, and EP, specifically in the hospital context.”
The paper relies on this without support.
These studies have not explored the moderating role of digital learning on the relationship between BDA-AI technologies and the GSC process.
“these studies have not explored the moderating role of digital learning on the relationship between the use of BDA-AI technologies and the GSC process.”
The paper relies on this without support.
The hospital sector lacks capacity and maturity in implementing environmental practices.
“supply chain collaboration is a critical process in the hospital sector, which lacks capacity and maturity in the implementation of environmental practices.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
H6 standard deviation conflicts with its significant t-value
MajorThe H6 table gives the coefficient and standard deviation as the same value, yielding a t-ratio of 1 rather than 8.070. That discrepancy bears directly on the reported significance of H6.
Reported 8.07 · recomputed 1
“| H6 | EPI | EP | 0.563 | 0.563 | 8.070 | 0.000 | Supported |”
Hospital energy-use ranking changes across sections
MinorThe introduction says hospitals use more energy than every other type of commercial building, but a later section places the catering industry ahead of them.
“consume more energy than any other type of commercial building (Singer & Tschudi, 2009).”
“hospitals consume the highest amount of energy among commercial buildings after the catering industry (Johnson, 2010).”
H2 t-value does not match its coefficient and standard deviation
MinorThe H2 coefficient divided by its standard deviation is about 6.381, rather than the table's 6.967.
Reported 6.967 · recomputed 6.381443
“| H2 | BDA-AI | EPI | 0,619 | 0.097 | 6.967 | 0.000 | Supported |”
H4 t-value does not match its coefficient and standard deviation
MinorThe reported H4 coefficient and standard deviation yield a ratio of about 1.803, not 1.711. The difference is larger than rounding of the displayed inputs permits.
Reported 1.711 · recomputed 1.803279
“| H4 | GDLO*BDA GSCC | 0.110 | 0,061 | 1,711 | 0,088 | Supported | |”
H3 has conflicting t-values in the results and table
MinorThe results text reports an H3 t-value of 1.1961, while Table 5 gives 1.961. These values imply different assessments of the claimed statistical significance.
“The results highlighted a positive influence of EPI on GSCC (H3) (β = 0.259; t = 1.1961).”
“| H3 | EPI | GSCC | 0.259 | 0.132 | 1.961 | 0.050 | Supported |”
H2 t-value differs between prose and table
MinorThe results text gives the BDA-AI-to-EPI t-value as 6.697, whereas Table 5 reports 6.967.
“on EPI (β = 0.619; t = 6.697).”
“| H2 | BDA-AI | EPI | 0,619 | 0.097 | 6.967 | 0.000 | Supported |”
H1 t-value does not match its coefficient and standard deviation
MinorDividing the reported H1 coefficient by its standard deviation gives about 3.946, not the listed t-value of 4.144.
Reported 4.144 · recomputed 3.945946
“| H1 | BDA-AI | GSCC | 0,438 | 0.111 | 4.144 | 0.000 | Supported |”
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“The use of big data analytics and AI technologies have significant positive effects on environmental process integration, green supply chain cooperation, and environmental performance (Benzidia et al. 2021), and they significantly improve urban green development efficiency (Chen and Liu 2022).”
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Al‐Khatib, A. W. (2022) · Business Process Management Journal · doi:10.1108/bpmj-07-2022-0332 · Cited by 102 · see citing works
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“(Benzidia, Makaoui, and Bentahar 2021) comprehensive solution to resolving these issues.”
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Cheng, J., Singh, H., Zhang, Y.-C., & Wang, S. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.139410 · Cited by 102 · see citing works
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“Consistent with the results of this research, the effect of using AI technology in green supply chain processes (Benzidia et al., 2021) and the development of sustainable cities (WU, 2021) has been referred in various studies.”
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“The impact on the performance has been also investigated by studies that have linked benefits of BDA and artificial intelligence with green supply chain integration process [40].”
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How does ESG performance promote corporate green innovation?
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“Using artificial intelligence and big data technology in supply chain management significantly promotes environmental process integration and green supply chain collaboration (Benzidia et al. 2021).”
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“Additionally, internal teams do not have sufficient knowledge of other functional areas (Benzidia et al., 2021).”
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“Digital technology integrates and manages green consumption preference information and assists enterprises to carry out corresponding green R&D and decision-making (Benzidia et al., 2021).”
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Nonlinear effect of industrial robot applications on carbon emissions: Evidence from China
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Can climate risk exposure compel companies to undergo a green transformation?
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A literature review on green supply chain management for sustainable sourcing and distribution
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Digitalization drives green transformation of supply chains: a two-stage evolutionary game analysis
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“Digital technology can enable supply chain enterprises to break down information barriers, establish information interconnections, promote green cooperation, and improve the efficiency of supply chain operations (Benzidia et al., 2021).”
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“BD [65] A partial least squares regression-based structural equation modeling method was used to test a sample of data from 168 French hospitals.”
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A critical review on applications of artificial intelligence in manufacturing
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Resilience and agility in sustainable supply chains: A relational and dynamic capabilities view
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“Technologies such as big data and predictive analytics can be utilised to locate the sources of potential disruptions and improve resilience (Benzidia et al., 2021; Papadopoulos et al., 2017).”
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“Big data analytics can boost green supply chain performance by exploiting data from different external sources that create new opportunities for collaboration with suppliers and key stakeholders in the environment-related decision-making process (Benzidia et al., 2021).”
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“When referred to using knowledge, learning orientation is an organizational process that emphasizes getting knowledge that will likely be helpful to the business through the supply of data and information [18], [24].”
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“This conclusion validates the findings of the studies conducted by Benzidia et al. [31] and Li and Shen [46].”
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Big Data Analytics and AI for Green Supply Chain Integration and Sustainability in Hospitals
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“The path coefficients for H1 and H2 are 0.438 and 0.619, respectively, indicating a strong positive relationship, [1].”
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“However, the impact of BDAC on GSCM and environmental performance (EP) decision-making processes is not entrenched in the literature (Benzidia et al., 2021).”
BackgroundInfluential
- Authors
- Benzidia, S., Makaoui, N., & Bentahar, O.
- Affiliations
- Centre Européen de Recherche en Economie Financière et Gestion des Entreprises (FR)
- Corresponding author
- Bentahar, Omar
- ORCID
- Bentahar, Omar
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 165
- Pages
- 120557
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W3118651707
- Semantic Scholar
- 7b6ea9c9634f01d4a4eefa67f4401d79598a7830
- Cited by
- 703
- References
- 118
- Citations by year
- 2026: 126 · 2025: 190 · 2024: 175 · 2023: 119 · 2022: 68 · 2021: 25
- FWCI
- 86.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Technological Forecasting and Social Change (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- HAL (submittedVersion, cc-by-nc)
- Funders
- Agence Nationale de la Recherche (ANR-20-GES1-0003)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- big data analytics, artificial intelligence, green supply chain, organizational information processing theory, healthcare logistics, moderating effect
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