Check decision sciences papers: citations, claims and retractions

An integrated model of voice-user interface continuance intention: The gender effect

Nguyen, Q. N., Ta, A., & Prybutok, V. (2019) · International Journal of Human–Computer Interaction

Technology Adoption and User BehaviourAI in Service Interactions

Cited by 87

15 years of tracking physiotherapy evidence on PEDro, where are we now?

Kamper, S. J., Moseley, A. M., Herbert, R. D., Maher, C. G., Elkins, M. R., & Sherrington, C. (2015) · British Journal of Sports Medicine

Meta-analysis and systematic reviewsHealth Sciences Research and Education

Cited by 87

Intentions to Shop Using Internet Catalogues: Exploring the Effects of Product Types, Shopping Orientations, and Attitudes towards Computers

R. Vijayasarathy, J. M. J. (2000) · Electronic Markets

Technology Adoption and User BehaviourConsumer Behavior and Marketing Influence

Cited by 87

Global Burden of Skin Disease as Reflected in Cochrane Database of Systematic Reviews

Karimkhani, C., Boyers, L. N., Prescott, L., Welch, V., Delamere, F. M., Nasser, M., Zaveri, A., Hay, R. J., Vos, T., Murray, C. J. L., et al. (2014) · JAMA Dermatology

Meta-analysis and systematic reviewsscientometrics and bibliometrics research

Cited by 87

Multistratum Response Surface Designs

Trinca, L. A., & Gilmour, S. G. (2001) · Technometrics

Optimal Experimental Design MethodsSimulation Techniques and Applications

Cited by 87

Forest plots in reports of systematic reviews: a cross-sectional study reviewing current practice

Schriger, D. L., Altman, D. G., Vetter, J. A., Heafner, T., & Moher, D. (2010) · International Journal of Epidemiology

Meta-analysis and systematic reviewsData Visualization and Analytics

Cited by 87

Online Purchase Intentions: An Empirical Testing of a Multiple-Theory Model

Järveläinen, J. (2007) · Journal of Organizational Computing and Electronic Commerce

Technology Adoption and User BehaviourConsumer Behavior and Marketing Influence

Cited by 86

Mobile App Analytics: A Multiple Discrete-Continuous Choice Framework1

Han, S. P., Park, S., & Oh, W. (2016) · MIS Quarterly

Technology Adoption and User BehaviourConsumer Market Behavior and Pricing

Cited by 86

Few studies exist examining methods for selecting studies, abstracting data, and appraising quality in a systematic review

Robson, R. C., Pham, B., Hwee, J., Thomas, S. M., Rios, P., Page, M. J., & Tricco, A. C. (2019) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 86

Data from Investigating Variation in Replicability: A “Many Labs” Replication Project

Klein, R. A., Ratliff, K. A., Vianello, M., Adams, R. B., Bahník, Š., Bernstein, M. J., Bocian, K., Brandt, M. J., Brooks, B. S., Brumbaugh, C. C., et al. (2014) · Journal of Open Psychology Data

Meta-analysis and systematic reviewsPsychology Research and Bibliometrics

Cited by 86

Mayo and NINDS scales for assessment of tendon reflexes: between observer agreement and implications for communication

Manschot, S., van Passel, L., Buskens, E., Algra, A., & van Gijn, J. (1998) · Journal of Neurology, Neurosurgery & Psychiatry

Reliability and Agreement in MeasurementPeripheral Nerve Disorders

Cited by 86

Transforming literature screening: The emerging role of large language models in systematic reviews

Delgado-Chaves, F. M., Jennings, M. J., Atalaia, A., Wolff, J., Horvath, R., Mamdouh, Z. M., Baumbach, J., & Baumbach, L. (2025) · Proceedings of the National Academy of Sciences

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 86

Software Design for Empowering Scientists

De Roure, D., & Goble, C. (2009) · IEEE Software

Scientific Computing and Data ManagementSoftware Engineering Techniques and Practices

Cited by 86

Exploring biometric identification in FinTech applications based on the modified TAM

Wang, J. S. (2021) · Financial Innovation

Technology Adoption and User BehaviourUser Authentication and Security Systems

Cited by 86

Observer Variation in the Clinical and Laboratory Evaluation of Patients with Thyroid Dysfunction and Goiter

JARLØV, A. E., NYGAARD, B., HEGEDÜS, L., HARTLING, S. G., & HANSEN, J. M. (1998) · Thyroid

Reliability and Agreement in MeasurementThyroid Disorders and Treatments

Cited by 86

Using coxian phase-type distributions to identify patient characteristics for duration of stay in hospital

Marshall, A. H., & McClean, S. I. (2004) · Health Care Management Science

Healthcare Operations and Scheduling OptimizationEmergency and Acute Care Studies

Cited by 86

A Systematic Review of Reproducibility Research in Natural Language Processing

Belz, A., Agarwal, S., Shimorina, A., & Reiter, E. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Scientific Computing and Data ManagementNatural Language Processing Techniques

Cited by 86

SOME NOTES ON FINANCIAL INCENTIVE‐SIGNALLING MODELS, ACTIVITY CHOICE AND RISK PREFERENCES

Ross, S. A. (1978) · The Journal of Finance

Decision-Making and Behavioral EconomicsFinancial Literacy, Pension, Retirement Analysis

Cited by 86

The impact of barriers and benefits of e-procurement on its adoption decision: An empirical analysis

Toktaş-Palut, P., Baylav, E., Teoman, S., & Altunbey, M. (2014) · International Journal of Production Economics

Technology Adoption and User BehaviourQuality and Supply Management

Cited by 86

Outperforming Completely Randomized Designs

Goos, P., & Vandebroek, M. (2004) · Journal of Quality Technology

Optimal Experimental Design MethodsAdvanced Statistical Methods and Models

Cited by 86

Effective benchmarking of innovation adoptions: A theoretical framework for e‐procurement technologies

Azadegan, A., & Teich, J. (2010) · Benchmarking: An International Journal

Technology Adoption and User BehaviourInnovation Diffusion and Forecasting

Cited by 86

What are the leading factors for using Spanish peer-to-peer mobile payment platform Bizum? The applied analysis of the UTAUT2 model

de Blanes Sebastián, M. G., Antonovica, A., & Sarmiento Guede, J. R. (2023) · Technological Forecasting and Social Change

Technology Adoption and User BehaviourHealth, Technology, Consumer Behavior

Cited by 86

Adopters and non-adopters of Internet banking: A segmentation study

Patsiotis, A. G., Hughes, T., & Webber, D. J. (2012) · International Journal of Bank Marketing

Technology Adoption and User BehaviourCustomer Service Quality and Loyalty

Cited by 85

Customer pre-adoption choice behavior for M-PESA mobile financial services: Extending the theory of consumption values

Omigie, N. O., Zo, H., Rho, J. J., & Ciganek, A. P. (2017) · Industrial Management & Data Systems

Technology Adoption and User BehaviourHealth, Technology, Consumer Behavior

Cited by 85