{"title":"Separate Versus Joint Evaluation: The Roles of Evaluation Mode and Construal Level In Technology Adoption","authors":"C. Ho, Weiling Ke, Hefu Liu, Patrick Y. K. Chau","doi":"10.25300/MISQ/2020/14246","DOIUrl":null,"url":null,"abstract":"Nowadays, people are faced with choices between or among alternative systems (joint evaluation, or JE mode), as opposed to evaluating only one system in isolation (separate evaluation, or SE mode). This research investigates how users make technology adoption decisions in these two contexts. Based on the context-specific theorization framework proposed by Hong et al. (2014) and integrating general evaluability theory and construal level theory, we theorize how evaluation mode (JE versus SE), as a usage context variable, interacts with other aspects of IS contexts to influence technology adoption. The IS contexts considered in this work include a user characteristic variable (construal level) and technology-related factors (perceived ease of use, PEoU, and perceived usefulness, PU). In two studies (N = 272 and N = 112), participants were presented with two new e-learning systems either in JE or SE mode. Because study (1) was conducted in two natural settings and study (2) had participants randomly assigned to manipulated evaluation modes, these two studies complement each other to offer internal and external validities. We found that in JE a higher construal level strengthened the effect of PEoU but weakened that of PU on technology adoption. These effects were reversed in SE. The findings suggest that users’ technology choices and preferences can be reversed by simply presenting the target system in different ways.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"57 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MIS Q.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25300/MISQ/2020/14246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Nowadays, people are faced with choices between or among alternative systems (joint evaluation, or JE mode), as opposed to evaluating only one system in isolation (separate evaluation, or SE mode). This research investigates how users make technology adoption decisions in these two contexts. Based on the context-specific theorization framework proposed by Hong et al. (2014) and integrating general evaluability theory and construal level theory, we theorize how evaluation mode (JE versus SE), as a usage context variable, interacts with other aspects of IS contexts to influence technology adoption. The IS contexts considered in this work include a user characteristic variable (construal level) and technology-related factors (perceived ease of use, PEoU, and perceived usefulness, PU). In two studies (N = 272 and N = 112), participants were presented with two new e-learning systems either in JE or SE mode. Because study (1) was conducted in two natural settings and study (2) had participants randomly assigned to manipulated evaluation modes, these two studies complement each other to offer internal and external validities. We found that in JE a higher construal level strengthened the effect of PEoU but weakened that of PU on technology adoption. These effects were reversed in SE. The findings suggest that users’ technology choices and preferences can be reversed by simply presenting the target system in different ways.
如今,人们面临着在多个备选系统(联合评价,或JE模式)之间进行选择,而不是单独评价一个系统(单独评价,或SE模式)。本研究调查了用户在这两种情况下如何做出技术采用决策。基于Hong et al.(2014)提出的情境特定的理论化框架,并整合一般可评估性理论和解释水平理论,我们理论化了评估模式(JE vs SE)作为使用情境变量如何与信息系统情境的其他方面相互作用,从而影响技术采用。本研究中考虑的信息系统背景包括用户特征变量(解释水平)和技术相关因素(感知易用性,PEoU和感知有用性,PU)。在两项研究中(N = 272和N = 112),参与者被提供了两种新的电子学习系统,一种是JE模式,另一种是SE模式。由于研究(1)是在两种自然环境中进行的,而研究(2)的参与者被随机分配到操纵评估模式中,这两项研究相互补充,提供了内部和外部效度。研究发现,在JE中,较高的解释水平增强了PEoU对技术采用的影响,而减弱了PU对技术采用的影响。这些效应在SE中被逆转。研究结果表明,用户的技术选择和偏好可以通过简单地以不同的方式呈现目标系统来逆转。