Check decision sciences papers: citations, claims and retractions

Upper echelon theory (UET): A major determinant of information technology (IT) adoption by SMEs in Nigeria

Awa, H. O., Eze, S. C., Urieto, J. E., & Inyang, B. J. (2011) · Journal of Systems and Information Technology

Technology Adoption and User BehaviourInformation Technology Governance and Strategy

Cited by 61

Digital Payment and Its Discontents: Street Shops and the Indian Government's Push for Cashless Transactions

Pal, J., Chandra, P., Kameswaran, V., Parameshwar, A., Joshi, S., & Johri, A. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Technology Adoption and User BehaviourHealth, Technology, Consumer Behavior

Cited by 61

The cost performance and causes of overruns in infrastructure development projects in Asia

Andrić, J. M., Mahamadu, A.-M., Wang, J., Zou, P. X. W., & Zhong, R. (2019) · Journal of Civil Engineering and Management

Construction Project Management and PerformancePublic-Private Partnership Projects

Cited by 61

The Impact of Self-Efficacy and Perceived Value on Customer Engagement under Live Streaming Commerce Environment

Cao, J., Li, J., Wang, Y., & Ai, M. (2022) · Security and Communication Networks

Technology Adoption and User BehaviourDigital Marketing and Social Media

Cited by 61

Online shopping cart abandonment: a consumer mindset perspective

Rubin, D., Martins, C., Ilyuk, V., & Hildebrand, D. (2020) · Journal of Consumer Marketing

Decision-Making and Behavioral EconomicsConsumer Behavior and Marketing Influence

Cited by 61

Moderating effect of product type on online shopping behaviour and purchase intention: An Indian perspective

Singh, S., & Srivastava, S. (2018) · Cogent Arts & Humanities

Technology Adoption and User BehaviourConsumer Behavior and Marketing Influence

Cited by 61

Factors Driving the Adoption of E-banking Services Based on the UTAUT Model

Chikondi Daka, G., & Phiri, J. (2019) · International Journal of Business and Management

Technology Adoption and User BehaviourHealth, Technology, Consumer Behavior

Cited by 61

Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service

Noel-Storr, A., Dooley, G., Affengruber, L., & Gartlehner, G. (2021) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 61

Protocol registration improves reporting quality of systematic reviews in dentistry

dos Santos, M. B. F., Agostini, B. A., Bassani, R., Pereira, G. K. R., & Sarkis-Onofre, R. (2020) · BMC Medical Research Methodology

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 61

Quality Reporting of Systematic Review and Meta-Analysis According to PRISMA 2020 Guidelines: Results from Recently Published Papers in the Korean Journal of Radiology

Park, H. Y., Suh, C. H., Woo, S., Kim, P. H., & Kim, K. W. (2022) · Korean Journal of Radiology

Meta-analysis and systematic reviewsAcademic Writing and Publishing

Cited by 61

Treatment effects in randomised trials using routinely collected data for outcome assessment versus traditional trials: meta-research study

Mc Cord, K. A., Ewald, H., Agarwal, A., Glinz, D., Aghlmandi, S., Ioannidis, J. P. A., & Hemkens, L. G. (2021) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 61

Clinical trials registries are under-utilized in the conduct of systematic reviews: a cross-sectional analysis

Jones, C. W., Keil, L. G., Weaver, M. A., & Platts-Mills, T. F. (2014) · Systematic Reviews

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 61

A comparative study of on-line pretest item calibration/scaling methods in computerized adaptive testing

Ban, J., Hanson, B. A., Wang, T., Yi, Q., & Harris, D. J. (2001) · Journal of Educational Measurement

Psychometric Methodologies and TestingEducational Technology and Assessment

Cited by 61

Rethinking the assessment of risk of bias due to selective reporting: a cross-sectional study

Page, M. J., & Higgins, J. P. T. (2016) · Systematic Reviews

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 60

Development of ROBUST-RCT: Risk Of Bias instrument for Use in SysTematic reviews-for Randomised Controlled Trials

Wang, Y., Keitz, S., Briel, M., Glasziou, P., Brignardello-Petersen, R., Siemieniuk, R. A. C., Zeraatkar, D., Akl, E. A., Armijo-Olivo, S., Bassler, D., et al. (2025) · BMJ

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 60

Optimal Multiperiod Pricing with Service Guarantees

Borgs, C., Candogan, O., Chayes, J., Lobel, I., & Nazerzadeh, H. (2014) · Management Science

Supply Chain and Inventory ManagementConsumer Market Behavior and Pricing

Cited by 60

Approach-Induced Biases in Human Information Sampling

Hunt, L. T., Rutledge, R. B., Malalasekera, W. M. N., Kennerley, S. W., & Dolan, R. J. (2016) · PLOS Biology

Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology Studies

Cited by 60

Modified fuzzy group decision-making approach to cost overrun risk assessment of power plant projects

Islam, M. S., Nepal, M. P., & Skitmore, M. (2019) · Journal of Construction Engineering and Management

Construction Project Management and PerformanceMulti-Criteria Decision Making

Cited by 60

The mere deadline effect: why more time might sabotage goal pursuit.

Zhu, M., Bagchi, R., & Hock, S. J. (2019) · Journal of Consumer Research

Decision-Making and Behavioral EconomicsBehavioral Health and Interventions

Cited by 60

Social media in operations and supply chain management: State-of-the-Art and research directions

Huang, S., Potter, A., & Eyers, D. (2020) · International Journal of Production Research

Supply Chain and Inventory ManagementSustainable Supply Chain Management

Cited by 60

Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials: a meta-epidemiological study

Toews, I., Anglemyer, A., Nyirenda, J. L., Alsaid, D., Balduzzi, S., Grummich, K., Schwingshackl, L., & Bero, L. (2024) · Cochrane Database of Systematic Reviews

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 60

Allocation concealment in randomised controlled trials: are we getting better?: Table 1

Clark, L., Fairhurst, C., & Torgerson, D. J. (2016) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 60

QUADAS-3: A Revised Tool for the Quality Assessment of Diagnostic Test Accuracy Studies

Whiting, P. F., Tomlinson, E., Rutjes, A. W. S., Davenport, C. F., Yang, B., Westwood, M. E., Takwoingi, Y., Reitsma, J. B., Hyde, C., Bossuyt, P. M. M., et al. (2026) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 60

Applying the ROBINS-I tool to natural experiments: an example from public health

Thomson, H., Craig, P., Hilton-Boon, M., Campbell, M., & Katikireddi, S. V. (2018) · Systematic Reviews

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 60