{"title":"发现Dyadic和团队交互研究的新前沿:当前的挑战和开源解决方案——SurvConf——用于增加交互数据的数量和丰富性","authors":"Andrew Brodsky, Min Ju Lee, Brian Leonard","doi":"10.5465/amd.2021.0257","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46395,"journal":{"name":"Academy of Management Discoveries","volume":" ","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Discovering New Frontiers for Dyadic and Team Interaction Studies: Current Challenges and an Open-Source Solution—SurvConf—for Increasing the Quantity and Richness of Interactional Data\",\"authors\":\"Andrew Brodsky, Min Ju Lee, Brian Leonard\",\"doi\":\"10.5465/amd.2021.0257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":46395,\"journal\":{\"name\":\"Academy of Management Discoveries\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2021-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Academy of Management Discoveries\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.5465/amd.2021.0257\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academy of Management Discoveries","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.5465/amd.2021.0257","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Discovering New Frontiers for Dyadic and Team Interaction Studies: Current Challenges and an Open-Source Solution—SurvConf—for Increasing the Quantity and Richness of Interactional Data
期刊介绍:
The mission of AMD is to publish phenomenon-driven empirical research that theories of management and organizations neither adequately predict nor explain. Data on these poorly-understood phenomena can come from any source, including ethnographic observations, lab and field experiments, field surveys, meta-analyses, construct validation research, and replication studies. AMD welcomes exploratory research at the pre-theory stage of knowledge development, where it is premature to specify hypotheses, and which generates surprising findings likely to stimulate and guide further exploration and analysis. This research must be grounded in rigorous state-of-the-art methods, present strong and persuasive evidence, and offer interesting and important implications for management theory and practice. Read the Discoveries FAQs.