On the public citation graph
A New Perspective on Ai Diffusion: Modeling Differences in Usage Across 26 Recommender Features
0 signed · 53 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bdm.1753openalex-extracted
Data Collection in a Flat World: The Strengths and Weaknesses of Mechanical Turk Samples
inferredcites →https://doi.org/10.1007/978-3-030-88615-8_4openalex-extracted
AI’s Fast and Furtive Spread by Infusion into Technologies That Are Already in Use—A Critical Assessment
inferredcites →https://doi.org/10.1007/s00146-020-00950-yopenalex-extracted
Recommender Systems and their Ethical Challenges
inferredcites →https://doi.org/10.1007/s10844-018-0530-7openalex-extracted
An overview of recommender systems in the internet of things
inferredcites →https://doi.org/10.1016/j.chbr.2023.100268openalex-extracted
Global variations in online privacy concerns across 57 countries
inferredcites →https://doi.org/10.1016/j.ijhcs.2019.06.006openalex-extracted
Measuring the impact of online personalisation: Past, present and future
inferredcites →https://doi.org/10.1016/j.ijhcs.2020.102507openalex-extracted
Drivers’ acceptance of mobile navigation applications: An extended technology acceptance model considering drivers’ sense of direction, navigation application affinity and distraction perception
inferredcites →https://doi.org/10.1016/j.jbusres.2008.06.016openalex-extracted
Consumer e-shopping acceptance: Antecedents in a technology acceptance model
inferredcites →https://doi.org/10.1016/j.jocm.2015.12.002openalex-extracted
An integrated latent variable and choice model to explore the role of privacy concern on stated behavioural intentions in e-commerce
inferredcites →https://doi.org/10.1016/j.techsoc.2020.101396openalex-extracted
Deep learning diffusion by infusion into preexisting technologies – Implications for users and society at large
inferredcites →https://doi.org/10.1016/j.techsoc.2021.101535openalex-extracted
A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application
inferredcites →https://doi.org/10.1016/j.tele.2019.101324openalex-extracted
Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products
inferredcites →https://doi.org/10.1016/j.tele.2020.101529openalex-extracted
Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables
inferredcites →https://doi.org/10.1017/xps.2015.19openalex-extracted
The Generalizability of Survey Experiments
inferredcites →https://doi.org/10.1037/0021-9010.88.5.879openalex-extracted
Common method biases in behavioral research: A critical review of the literature and recommended remedies.
inferredcites →https://doi.org/10.1037/a0032138openalex-extracted
Reliability estimation in a multilevel confirmatory factor analysis framework.
inferredcites →https://doi.org/10.1080/01972240490507956openalex-extracted
International Differences in Information Privacy Concerns: A Global Survey of Consumers
inferredcites →https://doi.org/10.1080/08874417.2010.11645465openalex-extracted
Social Influence and Instant Messaging Adoption
inferredcites →https://doi.org/10.1080/08874417.2016.1117367openalex-extracted
Online Social Network Adoption: A Cross-Cultural Study
inferredcites →https://doi.org/10.1080/10705511.2013.769392openalex-extracted
A Test for Cluster Bias: Detecting Violations of Measurement Invariance Across Clusters in Multilevel Data
inferredcites →https://doi.org/10.1080/10705519909540118openalex-extracted
Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
inferredcites →https://doi.org/10.1080/13645579.2014.885159openalex-extracted
Response option configuration of online administered Likert scales
inferredcites →https://doi.org/10.1080/21670811.2018.1493936openalex-extracted
My Friends, Editors, Algorithms, and I
inferredcites →https://doi.org/10.1080/21670811.2020.1773291openalex-extracted
User Perspectives on the News Personalisation Process: Agency, Trust and Utility as Building Blocks
inferredcites →https://doi.org/10.1093/pan/mpr057openalex-extracted
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
inferredcites →https://doi.org/10.1097/01.gim.0000061743.67794.c4openalex-extracted
Diffusion of innovations.
inferredcites →https://doi.org/10.1109/hicss.2014.409openalex-extracted
An Application of UTAUT2 on Social Recommender Systems: Incorporating Social Information for Performance Expectancy
inferredcites →https://doi.org/10.1145/3306618.3314309openalex-extracted
Popularity Bias in Ranking and Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331380openalex-extracted
Fairness and Discrimination in Retrieval and Recommendation
inferredcites →https://doi.org/10.1146/annurev-psych-120710-100452openalex-extracted
Sources of Method Bias in Social Science Research and Recommendations on How to Control It
inferredcites →https://doi.org/10.1177/002224378101800104openalex-extracted
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
inferredcites →https://doi.org/10.1177/2053168015622072openalex-extracted
Are samples drawn from Mechanical Turk valid for research on political ideology?
inferredcites →https://doi.org/10.1177/2056305116688035openalex-extracted
A Cross-Cultural Perspective on the Privacy Calculus
inferredcites →https://doi.org/10.1287/isre.2.3.192openalex-extracted
Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
inferredcites →https://doi.org/10.1287/mnsc.35.8.982openalex-extracted
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
inferredcites →https://doi.org/10.1371/journal.pone.0279720openalex-extracted
Data quality in online human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA
inferredcites →https://doi.org/10.15195/v1.a19openalex-extracted
Comparing Data Characteristics and Results of an Online Factorial Survey between a Population-Based and a Crowdsource-Recruited Sample
inferredcites →https://doi.org/10.15394/ijaaa.2020.1457openalex-extracted
A Practical Guide for Using Electronic Surveys in Aviation Research: Best Practices Explained
inferredcites →https://doi.org/10.17705/1cais.01250openalex-extracted
The Technology Acceptance Model: Past, Present, and Future
inferredcites →https://doi.org/10.18637/jss.v048.i02openalex-extracted
lavaan : An R Package for Structural Equation Modeling
inferredcites →https://doi.org/10.2307/1175619openalex-extracted
Psychometric Theory. 25 Years Ago and Now
inferredcites →https://doi.org/10.2307/249008openalex-extracted
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
inferredcites →https://doi.org/10.2307/30036540openalex-extracted
User Acceptance of Information Technology: Toward A Unified View1
inferredcites →https://doi.org/10.2307/41410412openalex-extracted
Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1
inferredcites →https://doi.org/10.32614/r.manualsopenalex-extracted
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3390/su12218888openalex-extracted
Online Recommendation Systems: Factors Influencing Use in E-Commerce
inferredcites →https://doi.org/10.3758/s13423-012-0296-9openalex-extracted
Is the Web as good as the lab? Comparable performance from Web and lab in cognitive/perceptual experiments
inferredcites →https://doi.org/10.3758/s13428-021-01694-3openalex-extracted
Data quality of platforms and panels for online behavioral research
inferredcites →https://doi.org/10.5281/zenodo.897039openalex-extracted
Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.