Attribution Theory: A Theoretical Framework for Understanding Information Systems Success

Snead, Ken C.; Magal, Simha R.; Christensen, Linda F.; Ndede-Amadi, Atieno A.

doi:10.1007/s11213-014-9328-x

Cited by 32 publications

(23 citation statements)

References 49 publications

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“…Typically, continuance use illustrates patients’ behavior to continue using OHCs [ 58 , 59 ]. Thus, two types of patient continuance use are identified in this study (ie, membership length and frequency of posts from patients).…”

Section: Methodsmentioning

confidence: 99%

Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication

Wu¹

2018

J Med Internet Res

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BackgroundIn practice, online health communities have passed the adoption stage and reached the diffusion phase of development. In this phase, patients equipped with knowledge regarding the issues involved in health care are capable of switching between different communities to maximize their online health community activities. Online health communities employ doctors to answer patient questions, and high quality online health communities are more likely to be acknowledged by patients. Therefore, the factors that motivate patients to maintain ongoing relationships with online health communities must be addressed. However, this has received limited scholarly attention.ObjectiveThe purpose of this study was to identify the factors that drive patients to continue their use of online health communities where doctor-patient communication occurs. This was achieved by integrating the information system success model with online health community features.MethodsA Web spider was used to download and extract data from one of the most authoritative Chinese online health communities in which communication occurs between doctors and patients. The time span analyzed in this study was from January 2017 to March 2017. A sample of 469 valid anonymous patients with 9667 posts was obtained (the equivalent of 469 respondents in survey research). A combination of Web mining and structural equation modeling was then conducted to test the research hypotheses.ResultsThe results show that the research framework for integrating the information system success model and online health community features contributes to our understanding of the factors that drive patients' relationships with online health communities. The primary findings are as follows: (1) perceived usefulness is found to be significantly determined by three exogenous variables (ie, social support, information quality, and service quality; R2=0.88). These variables explain 87.6% of the variance in perceived usefulness of online health communities; (2) similarly, patient satisfaction was found to be significantly determined by the three variables listed above (R2=0.69). These variables explain 69.3% of the variance seen in patient satisfaction; (3) continuance use (dependent variable) is significantly influenced by perceived usefulness and patient satisfaction (R2=0.93). That is, the combined effects of perceived usefulness and patient satisfaction explain 93.4% of the variance seen in continuance use; and (4) unexpectedly, individual literacy had no influence on perceived usefulness and satisfaction of patients using online health communities.ConclusionsFirst, this study contributes to the existing literature on the continuance use of online health communities using an empirical approach. Second, an appropriate metric was developed to assess constructs related to the proposed research model. Additionally, a Web spider enabled us to acquire objective data relatively easily and frequently, thereby overcoming a major limitation of survey techniques.

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Section: Methodsmentioning

confidence: 99%

Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication

Wu¹

2018

J Med Internet Res

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“…The relationships between perceived reviewer rationality and review helpfulness were supported by data in the context of product and service reviews. The findings can be explained by attribution which the reader makes about the reviewer (Kelley & Michela, 1980;Swanson & Kelley, 2001;Snead Jr et al, 2015). If the reviewer is perceived as irrational the reader might attribute the negative emotions to the reviewer's personal dispositions rather than the product (Kim & Gupta, 2012;Yin et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Attribution theory studies how individuals interpret events and how it affects their thinking and behaviour (Kelley & Michela, 1980;Snead Jr et al, 2015;Swanson & Kelley, 2001). The purpose of the attribution process is to comprehend and form meaningful perspectives about outcomes as well as to forecast and regulate them.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The purpose of the attribution process is to comprehend and form meaningful perspectives about outcomes as well as to forecast and regulate them. Attribution theory states that certain factors will have an impact on an individual to infer the cause of an outcome in a certain way (Snead Jr et al, 2015). In the context of eWOM communications, attribution theory suggests that the recipients' interpretation of why someone is sharing information can influence how the information is received (Lin & Foster, 2013;Willemsen et al, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

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Perceived helpfulness of eWOM: Emotions, fairness and rationality

Ismagilova

Dwivedi

Slade

2020

Journal of Retailing and Consumer Services

109

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Consumers use online reviews to help make informed purchase decisions. This paper extends existing research by examining how content of online reviews influences perceptions of helpfulness by demonstrating how different emotions can influence helpfulness of both product and service online reviews beyond a valence-based approach using cognitive appraisal theory and attribution theory. This research contributes to existing knowledge regarding the theory of information processing, attribution theory, and cognitive appraisal theory of emotions. Using findings from this study, practitioners can make review websites more user-friendly which will help readers avoid information overload and make more informed purchase decisions.

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“…For many individuals, the process of creating causal explanations from successes and failures is automatic and often goes unnoticed. However, causal attributions can be viable in helping individuals adapt to changing environments around them (Snead et al, 2015;Weiner, 1982).…”

Section: Attribution Theorymentioning

confidence: 99%

The Role Of Perceived Academic Control, Preoccupation With Failure, And Academic Emotions On Major Satisfaction

Lehman¹

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While rates of matriculation into higher education are increasing, the large number of students who do not obtain a college degree in a timely manner is of concern because attending college without completing a degree is financially burdensome for students and their families. The number of students who enrolled in degree-granting undergraduate institutions after high school increased from 13.2 to 18.1 million between the years of 2000 and 2010, and the number of students who will enroll in undergraduate programs is predicted to increase to 20.6 million by the year 2021 (Aud et al., 2012). While the upward trend of students enrolling in higher education can initially appear promising, this figure hides significant variation in the outcomes of those students. Nearly 85% of students who graduated from high school after 2004 had some form of experience in college (McPherson, Ferguson, & Fanton, 2016). However, among students who began their studies in the fall of 2009, the six-year graduation rate was only 53% (Shapiro et al., 2015). Low academic major satisfaction is also a known risk factor for college drop-out intentions in part because it can affect motivation and study behaviors, leading to poor performance (Suhre, Jansen, & Harskamp, 2007). It is common for students to leave higher education prior to degree completion because of financial hardship and various life circumstances, such as increasing family obligations or unexpected emergencies (Public Agenda, 2009). Even if low satisfaction does not lead students to leave college altogether, low satisfaction is associated with changing majors (Nauta, 2010), something that approximately 50% to 75% of students do over the course of their undergraduate careers (Gordon, Habley, & Grites, 2008; Porter & Umbach, 2006). Changing to a major that is a better fit with a student's interests, abilities, or career goals is sensible because it can lead to a more satisfactory career

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Attribution Theory: A Theoretical Framework for Understanding Information Systems Success

Cited by 32 publications

References 49 publications

Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication

Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication

Perceived helpfulness of eWOM: Emotions, fairness and rationality

The Role Of Perceived Academic Control, Preoccupation With Failure, And Academic Emotions On Major Satisfaction

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