Testing Motivation-Based vs. Social Exchange Communication Strategies in Email Survey Recruitment

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Social Science Computer Review Pub Date : 2024-12-18 DOI:10.1177/08944393241308509
Jason Kosakow, Pierce Greenberg
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Abstract

Despite well-documented challenges, researchers across the social sciences continue to rely on email to recruit research participants. However, few studies examine how different communication strategies impact email open and conversion rates, especially among surveys of establishments. Our paper aims to fill that gap by examining whether motivation-based appeals—which we develop from respondents’ reasons for participating—outperform a communication approach based on social exchange theory. Our study identified the top three motivations why current panel members participate in the Federal Reserve Bank of Richmond Business Survey: (1) access to data and other benefits, (2) the ability to influence economic policy, and (3) to help make their communities better. Then, we crafted email subject lines and messages to match those three motivations and a version based on tenets of social exchange theory. Our results find that the social exchange version outperforms the motivation-based appeals in both email open and conversion rates—with a stronger influence on conversion rates. We discuss the implications of these results for how social science researchers communicate with potential research participants by email.
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在电子邮件调查招聘中测试基于动机与社交交换的沟通策略
尽管有充分的证据表明存在挑战,但社会科学领域的研究人员继续依靠电子邮件招募研究参与者。然而,很少有研究考察不同的沟通策略如何影响电子邮件的打开率和转化率,尤其是在对企业的调查中。我们的论文旨在填补这一空白,通过研究基于动机的呼吁——我们从受访者的参与原因中发展出来的——是否优于基于社会交换理论的沟通方法。我们的研究确定了当前小组成员参与里士满联邦储备银行商业调查的三大动机:(1)获取数据和其他利益,(2)影响经济政策的能力,(3)帮助改善他们的社区。然后,我们根据社会交换理论的原则,精心设计了符合这三种动机的电子邮件主题和信息。我们的研究结果发现,社交交换版本在电子邮件打开率和转化率方面都优于基于动机的吸引力——对转化率的影响更大。我们讨论了这些结果对社会科学研究人员如何通过电子邮件与潜在的研究参与者沟通的影响。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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