How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

Benitez, Jose; Henseler, Jörg; Castillo, Ana; Schuberth, Florian

doi:10.1016/j.im.2019.05.003

Cited by 1,054 publications

(1,150 citation statements)

References 93 publications

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“…Age and gender were included as independent variables to control for their effects. Regarding the overall model fit the SRMR (= 0.070) is lower than the suggested threshold [42]. The adjusted R square equals 0.657.…”

Section: Partial Least Squares Semmentioning

confidence: 68%

Smart Glasses in Health Care: A Patient Trust Perspective

Klinker

Wiesche

Krcmar

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Digitization in the health care sector is striving forward. Wearable technologies like smart glasses are being evaluated for providing hands-free and septicsafe access to information systems at the point of care. While smart glasses hold the potential to make service processes more efficient and effective, it is unclear whether patients would opt-in to treatments involving smart glasses. Patients are not active users of smart glasses but are nevertheless affected of outcomes produced by the symbiosis of health care workers and smart glasses. Using an online survey with 437 respondents, we find that it is important to properly explain to patients why smart glasses are being used and to proactively address data privacy concerns. Otherwise, smart glasses can significantly increase risk perceptions, reduce patients' estimates of health care workers' abilities, and decrease patients' willingness to opt-in to medical procedures.

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Section: Partial Least Squares Semmentioning

confidence: 68%

Smart Glasses in Health Care: A Patient Trust Perspective

Klinker

Wiesche

Krcmar

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…This method has been reported to have a superior performance compared with the Fornell-Larcker criterion [ 103 ]. For the first criterion, the HTMT value should be lower than 0.85 (indicating a stricter threshold) or 0.90 (indicating a more lenient threshold) or should be significantly smaller than 1 [ 104 – 106 ]. As shown in Table 5 , all HTMT values were below 0.85, thus indicating good discriminant validity.…”

Section: Resultsmentioning

confidence: 99%

Predictors of stakeholders’ intention to adopt nutrigenomics

2020

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Background Nutrigenomics is an emerging science that studies the relationship between genes, diet and nutrients that can help prevent chronic disease. The development of this science depends on whether the public accept its application; therefore, predicting their intention to adopt it is important for its successful implementation. Objective This study aims to analyse Malaysian stakeholders’ intentions to adopt nutrigenomics, and determines the factors that influence their intentions. Methods A survey was conducted based on the responses of 421 adults (aged 18 years and older) and comprising two stakeholder groups: healthcare providers (n = 221) and patients (n = 200) who were located in the Klang Valley, Malaysia. The SPSS software was used to analyse the descriptive statistics of intention to adopt nutrigenomics and the SmartPLS software was used to determine the predicting factors affecting their decisions to adopt nutrigenomics. Results The results show that the stakeholders perceived the benefits of nutrigenomics as outweighing its risks, suggesting that the perceived benefits represent the most important direct predictor of the intention to adopt nutrigenomics. The perceived risks of nutrigenomics, trust in key players, engagement with medical genetics and religiosity also predict the intention to adopt nutrigenomics. Additionally, the perceived benefits of nutrigenomics served as a mediator for four factors: perceived risks of nutrigenomics, engagement with medical genetics, trust in key players and religiosity, whilst the perceived risks were a mediator for engagement with medical genetics. Conclusion The findings of this study suggest that the intentions of Malaysian stakeholders to adopt nutrigenomics are a complex decision-making process where all the previously mentioned factors interact. Although the results showed that the stakeholders in Malaysia were highly positive towards nutrigenomics, they were also cautious about adopting it.

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“…PLS‐PM is based on an iterative algorithm to obtain weights used for building linear combinations of observed indicators as proxies for all constructs in the model. Thus, PLS‐SEM is an effective method to estimate composite models (Benítez, Henseler, & Castillo, 2017; Müller, Schuberth, & Henseler, 2018) since composites scores are well determined with traditional PLS‐PM (Cepeda‐Carrión, Cegarra‐Navarro, & Cillo, 2019). Further advantages over covariance‐based SEM models include lesser assumptions for the measurement scales, sample size, and data distribution (Chin, 1998).…”

Section: Resultsmentioning

confidence: 99%

The impact of creating shared value on hotels online reputation

Fernández-Gámez

Gutiérrez-Ruiz

Vicario

et al. 2020

Corp Soc Responsibility Env

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In this study, we investigated the relationships between created shared value (CSV) strategies and online reputation (OR) within the hotel industry. Our results show that CSV strategies improve hotel OR assigned by clients participating in consumer review Websites. Our findings fundamentally indicate that the relationship between CSV and OR in the hotel industry is relevant in two major CSV aspects: reconceiving products and redefining productivity in the value chain. Hotel managers interested in improving their hotel OR should, therefore, implement CSV strategies in their companies.

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How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

Cited by 1,054 publications

References 93 publications

Smart Glasses in Health Care: A Patient Trust Perspective

Smart Glasses in Health Care: A Patient Trust Perspective

Predictors of stakeholders’ intention to adopt nutrigenomics

The impact of creating shared value on hotels online reputation

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