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Sarstedt bootstrap resampling procedure
Bootstrap Resampling Procedure, supplied by Sarstedt, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bootstrap+resampling+procedure/bootstrap+samples/pmc10407215-547-9-5
Average 90 stars, based on 1 article reviews
bootstrap resampling procedure - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Research on influencing factors of consummate performance behaviors: a configurational approach
Article Snippet: In this study, the number of bootstrap samples is 5,000, as recommended by Hair, Ringle and Sarstedt (2011).

Article Title: Understanding drivers and outcomes of lurking vs. posting engagement behaviours in social media-based brand communities
Article Snippet: Social media-based brand communities (SMBBC) are ideal tools to develop Consumer Engagement (CE).. Yet, brands do not fully understand whether members are really loyally engaged with the brand and uncertainties remain regarding SMBBC return on investment.. Therefore, our aim is to understand what drives CE within SMBBC, to relate it to different CE behaviours and to study its impact on brand loyalty.

Article Title: Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context
Article Snippet: As suggested by Hair and Sarstedt [ ], the Bootstrap resampling procedure was utilized.

Article Title: Determinants of Trust in Health Information Technology: An Empirical Investigation in the Context of an Online Clinic Appointment System
Article Snippet: An online clinic appointment system (OCAS) is an example of health information technology (HIT) innovation in the healthcare industry.. An OCAS can help healthcare organizations to improve the efficiency of information exchange for patients and transform a clinic-centered practice into patientcentered practice.. This research uses an enhanced trust model to investigate the trust formation mechanism in the HIT context using OCAS as a proxy.

Article Title: Social capital and innovation in family firms: The moderating roles of family control and generational involvement
Article Snippet: Drawing on the social capital literature, we examine whether the co-existence of distinct yet interacting social groups, namely family and non-family members, creates the conditions for increased family firm innovation.. In particular, we theorize that family and non-family social capital have a joint positive effect on family firm innovation and this joint effect is stronger than the single effects of family and non-family social capital.. In addition, we predict that while family control has a positive moderating effect, generational involvement has a negative moderating effect on the above-mentioned relationship.

Article Title: Digital Health Experience: A Regulatory Focus Perspective
Article Snippet: Digital technology is an integral part of today's healthcare, yet little is known about how these technologies affect healthcare customers' experience.. This study uses regulatory focus theory to understand how consumers' role clarity, perceived usefulness, ease of use (i.e., promotion orientation), security, and trust (i.e., prevention orientation) when using digital health technology affect their experience.. A nationwide study shows that customer experience is driven by promotionand prevention-related variables concurrently.

Article Title: An integrated model of consumers' decision-making process in social commerce: a cross-cultural study of the United States and China
Article Snippet: Purpose – The purpose of this study was to understand consumers’ continuance intention to purchase in social commerce from an integrated perspective of the expectation confirmation model (ECM) and information adoption model (IAM).. Moreover, the cultural difference between the United States and China was explored in the integrated model. Design/methodology/approach – A total of 1,589 responses were collected from American (n 5 725) and Chinese consumers (n5 864).. The partial least squares structural equationmodeling (PLS-SEM)was applied to perform measurement assessment, structural model and multiple group analysis.

Article Title: Assessing Patient Safety Culture in United States Hospitals
Article Snippet: Sarstedt et al. [ ] have recommended that t-statistics be computed with 5000 bootstrap samples; this suggestion was implemented in the current context.



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