Check decision sciences papers: citations, claims and retractions

A new value stream mapping approach for healthcare environments

Henrique, D. B., Rentes, A. F., Godinho Filho, M., & Esposto, K. F. (2016) · Production Planning & Control

Healthcare Operations and Scheduling OptimizationHealthcare Quality and Management

Cited by 148

Compared with what? An analysis of control-group types in cochrane and campbell reviews of psychosocial treatment efficacy with substance use disorders

Karlsson, P., & Bergmark, A. (2015) · Addiction

Meta-analysis and systematic reviewsSubstance Abuse Treatment and Outcomes

Cited by 148

Are fit indices used to test psychopathology structure biased? A simulation study

Greene, A. L., Eaton, N. R., Li, K., Forbes, M. K., Krueger, R. F., Markon, K. E., Waldman, I. D., Cicero, D. C., Conway, C. C., Docherty, A. R., et al. (2019) · Journal of Abnormal Psychology

Psychometric Methodologies and TestingMental Health Research Topics

Cited by 148

Evaluation of Evidence of Statistical Support and Corroboration of Subgroup Claims in Randomized Clinical Trials

Wallach, J. D., Sullivan, P. G., Trepanowski, J. F., Sainani, K. L., Steyerberg, E. W., & Ioannidis, J. P. A. (2017) · JAMA Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 148

Brief form of the Perceived Social Support Questionnaire (F-SozU K-6): Validation, norms, and cross-cultural measurement invariance in the USA, Germany, Russia, and China.

Lin, M., Hirschfeld, G., & Margraf, J. (2019) · Psychological Assessment

Psychometric Methodologies and TestingHealth Education and Validation

Cited by 148

Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool

Gates, A., Johnson, C., & Hartling, L. (2018) · Systematic Reviews

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 148

The Factor Structure of the General Health Questionnaire (GHQ-30): A Reliability Study on 6317 Community Residents

Huppert, F. A., Walters, D. E., Day, N., & Elliott, B. J. (1989) · British Journal of Psychiatry

Psychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 147

M-payment adoption for bottom of pyramid segment: an empirical investigation

Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019) · International Journal of Bank Marketing

Technology Adoption and User BehaviourHealth, Technology, Consumer Behavior

Cited by 147

Measurement Errors in the Behavioral Sciences: The Case of Personality/Attitude Research

Buckley, M. R., Cote, J. A., & Comstock, S. M. (1990) · Educational and Psychological Measurement

Psychometric Methodologies and TestingPersonality Traits and Psychology

Cited by 147

OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research

Dai, T., & Tayur, S. (2020) · Manufacturing & Service Operations Management

Healthcare Operations and Scheduling OptimizationHealthcare Policy and Management

Cited by 147

What Project Strategy Really Is: The Fundamental Building Block in Strategic Project Management

Patanakul, P., & Shenhar, A. J. (2012) · Project Management Journal

Construction Project Management and PerformanceManagement and Organizational Practices

Cited by 147

STORIES statement: Publication standards for healthcare education evidence synthesis

Gordon, M., & Gibbs, T. (2014) · BMC Medicine

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 146

The calibration of expert judgment: heuristics and biases beyond the laboratory

Koehler, D. J., Brenner, L., & Griffin, D. (2002) · Heuristics and Biases

Decision-Making and Behavioral EconomicsForecasting Techniques and Applications

Cited by 146

Gender differences in using mobile data services: utilitarian and hedonic value approaches

Yang, K., & Lee, H. (2010) · Journal of Research in Interactive Marketing

Technology Adoption and User BehaviourCustomer Service Quality and Loyalty

Cited by 146

Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables

Cabrera-Sánchez, J.-P., Villarejo-Ramos, Á. F., Liébana-Cabanillas, F., & Shaikh, A. A. (2021) · Telematics and Informatics

Technology Adoption and User BehaviourAI in Service Interactions

Cited by 146

Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations

Sawhney, R., Agarwal, S., Wadhwa, A., & Shah, R. R. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 146

Evidence-Based Research Series-Paper 1: What Evidence-Based Research is and why is it important?

Robinson, K. A., Brunnhuber, K., Ciliska, D., Juhl, C. B., Christensen, R., & Lund, H. (2021) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsHealth Sciences Research and Education

Cited by 146

Accuracy and reliability of self-reported weight and height in the Sister Study

Lin, C. J., DeRoo, L. A., Jacobs, S. R., & Sandler, D. P. (2012) · Public Health Nutrition

Reliability and Agreement in MeasurementSurvey Methodology and Nonresponse

Cited by 146

Issues in the Application of Covariance Structure Analysis: A Further Comment

Bagozzi, R. P. (1983) · Journal of Consumer Research

Psychometric Methodologies and TestingStatistical Methods and Applications

Cited by 146

Measurement of Affective States in Adults: Evaluation of an Adjective Rating Scale Instrument

Usala, P. D., & Hertzog, C. (1989) · Research on Aging

Psychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 146

The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses

Boetje, J., & van de Schoot, R. (2024) · Systematic Reviews

Meta-analysis and systematic reviewsMachine Learning and Algorithms

Cited by 146

Comparison of the Standard and Structured Interview Guide for the Hamilton Depression Rating Scale in Depressed Geriatric Inpatients

Moberg, P. J., Lazarus, L. W., Mesholam, R. I., Bilker, W., Chuy, I. L., Neyman, I., & Markvart, V. (2001) · The American Journal of Geriatric Psychiatry

Reliability and Agreement in MeasurementAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 146

Predicting Financial Markets: Comparing Survey, News, Twitter and Search Engine Data

Mao, H., Counts, S., & Bollen, J. (2011) · arXiv

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 145

Theory of user acceptance of information technologies: an examination of health care professionals

Succi, M. J., & Walter, Z. D. (2003) · Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers

Technology Adoption and User BehaviourElectronic Health Records Systems

Cited by 145