AMA Academic Journals publish the latest peer-reviewed research aimed at advancing our industry and equipping business professionals with the insight needed to make better managerial decisions. AMA publishes five journals in coordination with Sage: Journal of Marketing, Journal of Marketing Research, Journal of Public Policy & Marketing, Journal of International Marketing, and Journal of Interactive Marketing.
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11 to 20 of 22 Results
Replication Data for: Designing Quality Certificates: Insights from eBay
Oct 3, 2024 - Journal of Marketing Research
Hui, Xiang; Ginger Jin; Meng Liu, 2024, "Replication Data for: Designing Quality Certificates: Insights from eBay", https://doi.org/10.7910/DVN/EJP90T, Harvard Dataverse, V1
The paper uses proprietary data from eBay, and we would like to request exemption from the data availability policy. The paper is part of an existing and ongoing data-sharing relationship between eBay and I. My coauthors and I do not receive financial compensation from eBay. All eBay related data are not collected directly by us but are being archi...
Replication Data for Emotional Energy: When Customer Interactions Energize Service Employees
Jul 16, 2024 - Journal of Marketing
Cayla, Julien; Auriacombe, Brigitte, 2024, "Replication Data for Emotional Energy: When Customer Interactions Energize Service Employees", https://doi.org/10.7910/DVN/TMHA3R, Harvard Dataverse, V1
We include: 1) interview guide; 2) data structure; 3) an annotated interview
Replication Data for: Attention Spillovers from News to Ads: Evidence from an Eye-Tracking Experiment
Jul 10, 2024 - Journal of Marketing Research
Simonov, Andrey; Valletti, Tommaso; Veiga, Andre, 2024, "Replication Data for: Attention Spillovers from News to Ads: Evidence from an Eye-Tracking Experiment", https://doi.org/10.7910/DVN/SBXLZ6, Harvard Dataverse, V1, UNF:6:HVT8tixq8esKUt+kOobDeQ== [fileUNF]
Replication Package for `Attention Spillovers from News to Ads: Evidence from an Eye-Tracking Experiment`
Replication Data for: p-values as QWERTY: Curating Evidence in the Computational Era
Jun 14, 2024 - Journal of Marketing
Feinberg, Fred, 2024, "Replication Data for: p-values as QWERTY: Curating Evidence in the Computational Era", https://doi.org/10.7910/DVN/VUZBQA, Harvard Dataverse, V1
All data and code to perform the analysis and produce the figures in the manuscript.
Replication Data for: The Rivalry Reference Effect: Referencing Rival (vs. Non-Rival) Competitors in Public Brand Messages Increases Consumer Engagement
May 15, 2024 - Journal of Marketing Research
Berendt, Johannes; Uhrich, Sebastian; Borah, Abhishek; Kilduff, Gavin, 2024, "Replication Data for: The Rivalry Reference Effect: Referencing Rival (vs. Non-Rival) Competitors in Public Brand Messages Increases Consumer Engagement", https://doi.org/10.7910/DVN/45MFBQ, Harvard Dataverse, V1, UNF:6:f3zbNVCbrnOMr+MJZMWHQw== [fileUNF]
Data, code and data description for Studies 1-5. Please see readme file.
Replication Data for: Past Imperfect or Present Perfect? How Dynamic Ranks Influence Consumer Perceptions
May 15, 2024 - Journal of Marketing Research
Pandey, Arpita; Tripathi, Sanjeev; Jain, Shailendra Pratap, 2024, "Replication Data for: Past Imperfect or Present Perfect? How Dynamic Ranks Influence Consumer Perceptions", https://doi.org/10.7910/DVN/NKYWP2, Harvard Dataverse, V1, UNF:6:Ebb1uak62LlCoYAf16N7XQ== [fileUNF]
The uploaded files consist of five types of files: 1) the raw data for all the studies in .csv format, 2) the final data files required to replicate the results in .sav format, 3) the codes required to replicate the studies, 4) the questionnaires utilized for the studies, and 5) the stimuli for each study. The README file presents the details of th...
Replication Data for: "A Topic-based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews"
May 7, 2024 - Journal of Marketing Research
Kim, Sunghoon; Lee, Sanghak; McCulloch, Robert, 2024, "Replication Data for: "A Topic-based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews"", https://doi.org/10.7910/DVN/EE3DE2, Harvard Dataverse, V1, UNF:6:nkFFI1aNdeZLqrOOqW+UhQ== [fileUNF]
We provide instructions, codes and datasets for replicating the article by Kim, Lee and McCulloch (2024), "A Topic-based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews." This repository provides a user-friendly R package for any researchers or practitioners to apply A Topic-based Segmentation...
Replication Data for: Using Price Promotions to Drive Children’s Healthy Choices in a Developing Economy
May 7, 2024 - Journal of Marketing Research
Huang, Szu-chi; Maimaran, Michal; Kupor, Daniella, 2024, "Replication Data for: Using Price Promotions to Drive Children’s Healthy Choices in a Developing Economy", https://doi.org/10.7910/DVN/LMHPUT, Harvard Dataverse, V1, UNF:6:esX8K9bf1U79T9UkO9yH0g== [fileUNF]
Five files are included: README file, SPSS redemption data and code, Stata sales data and code.
Replication Data for: The Value of Genetic Data in Predicting Preferences: A Study of Food Taste
May 7, 2024 - Journal of Marketing Research
Daviet, Remi; Gideon, 2024, "Replication Data for: The Value of Genetic Data in Predicting Preferences: A Study of Food Taste", https://doi.org/10.7910/DVN/LA8DOT, Harvard Dataverse, V1, UNF:6:QKidS95shfrX4HyJhlQrvA== [fileUNF]
Replication scripts and survey data for "The Value of Genetic Data in Predicting Preferences: A Study of Food Taste"
Replication Data for: Flowers and Bees: Spatial Network Effects in the Adoption of a Sharing-Economy Platform
May 7, 2024 - Journal of Marketing Research
Stourm, Ludovic; Albuquerque, Paulo, 2024, "Replication Data for: Flowers and Bees: Spatial Network Effects in the Adoption of a Sharing-Economy Platform", https://doi.org/10.7910/DVN/T9CHYR, Harvard Dataverse, V1, UNF:6:F+ahpub4rB1eZ6mYj/XW+w== [fileUNF]
This dataset includes the data and code to replicate the analysis by Stourm and Albuquerque (2024) in their paper entitled "Flowers and Bees: Spatial Network Effects in the Adoption of a Sharing-Economy Platform".
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