{"title":"Emotions and Information Diffusion on Social Media: A Replication in the Context of Political Communication on Twitter","authors":"Linus Hagemann, Olga Abramova","doi":"10.17705/1atrr.00079","DOIUrl":"https://doi.org/10.17705/1atrr.00079","url":null,"abstract":"This paper presents a methodological and conceptual replication of Stieglitz and Dang-Xuan’s (2013) investigation of the role of sentiment in information-sharing behavior on social media. Whereas Stieglitz and Dang-Xuan (2013) focused on Twitter communication prior to the state parliament elections in the German states Baden-Wurttemberg, Rheinland-Pfalz, and Berlin in 2011, we test their theoretical propositions in the context of the state parliament elections in Saxony-Anhalt (Germany) 2021. We confirm the positive link between sentiment in a political Twitter message and its number of retweets in a methodological replication. In a conceptual replication, where sentiment was assessed with the alternative dictionary-based tool LIWC, the sentiment was negatively associated with the retweet volume. In line with the original study, the strength of association between sentiment and retweet time lag insignificantly differs between tweets with negative sentiment and tweets with positive sentiment. We also found that the number of an author’s followers was an essential determinant of sharing behavior. However, two hypotheses supported in the original study did not hold for our sample. Precisely, the total amount of sentiments was insignificantly linked to the time lag to the first retweet. Finally, in our data, we do not observe that the association between the overall sentiment and retweet quantity is stronger for tweets with negative sentiment than for those with positive sentiment.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"208 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138997119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Decreasing the Problematic Use of an Information System: A Conceptual Replication in the Context of Digital Streaming Services","authors":"Yazhu Maggie Wang","doi":"10.17705/1atrr.00077","DOIUrl":"https://doi.org/10.17705/1atrr.00077","url":null,"abstract":"This study is a conceptual replication of Chen, Zhang, Gong, Lee, and Wang’s (2020) study that examines factors influencing the intention to decrease problematic Information Systems (IS) use. In contrast with Chen et al.’s smartphone gaming context, we apply their theoretical model to the context of digital streaming services. Aligned with the original study, we tested the model using a scenario-based survey. Results are largely consistent with the original study, albeit with several exceptions. Our findings support that protection motivation theory (PMT) is useful in explaining decreasing problematic use in situations of threats. Threats are the negative consequences caused by problematic streaming service use. Users experience fear when they believe the negative consequences are likely to occur, and the consequential harm will be serious if they occur. When threatened, users are more motivated to decrease use if they believe decreasing use is effective in mitigating the threat and they have confidence in executing it. However, such motivation is not influenced by costs incurred by decreasing use. Further, we validate that invoking fear can break users’ viewing habits, which promotes their intention to decrease use. Yet, such an effect is limited. Future research might explore other factors that are effective in breaking users’ viewing habits.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138998072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Why Following Friends Can Hurt You: A Replication Study","authors":"Benjamin Ampel, Steven Ullman","doi":"10.17705/1atrr.00078","DOIUrl":"https://doi.org/10.17705/1atrr.00078","url":null,"abstract":"This study is a methodological replication of the work originally published in Information Systems Research by Krasnova, Widjaja, Buxmann, Wenninger, and Benbasat (2015). The original work studied the effects of envy in the context of Social Network Sites (SNSs) among college-age users. We adapt the constructs and measurement items of the original survey but change the context of the SNS to Instagram instead of Facebook. We also target a sample of college-age students from the United States instead of from Germany. The results of our replication support six of the seven hypotheses from the original paper. Confirming these results reinforce the model proposed by Krasnova et al. (2015). However, our replication did not find a strong mediation effect from envy on an SNS between the intensity of social information consumption on an SNS and users’ cognitive well-being. The results suggest that the difference in population, SNS, or time has led to a change in this effect inviting further replications and new studies.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"8 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mickael Ringeval, James S. Denford, Simon Bourdeau, Guy Paré
{"title":"Richness of IT Use Operationalization: A Conceptual Replication","authors":"Mickael Ringeval, James S. Denford, Simon Bourdeau, Guy Paré","doi":"10.17705/1atrr.00083","DOIUrl":"https://doi.org/10.17705/1atrr.00083","url":null,"abstract":"Use of information technology (IT) remains a key concern for organizations. This article presents a conceptual replication of Burton-Jones and Straub’s (2006) study, exploring the effect of IT Use operationalization richness – lean and rich – on Performance. We used 352 valid responses from Amazon MTurk through an online survey. Consistent with the original study, the hypothesis was tested by using the Structural Equation Modeling technique. Our results – which indicated support for the same hypothesis in the original study – suggest that the richer the IT use operationalization, the higher the individual Performance.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"344 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138996504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen A. De Lurgio II, Amber Young, Zachary R. Steelman
{"title":"Mechanical Turk Versus Student Samples: Comparisons and Recommendations","authors":"Stephen A. De Lurgio II, Amber Young, Zachary R. Steelman","doi":"10.17705/1atrr.00082","DOIUrl":"https://doi.org/10.17705/1atrr.00082","url":null,"abstract":"Mechanical Turk and other online crowdsourcing markets (OCMs) have become a go-to data source across scientific disciplines. In 2014 Steelman and colleagues investigated how Mechanical Turk data compared with student samples and consumer panels. They found the data to be comparable and reliable for academic research. In the nearly 10 years since its publication, the use of Mechanical Turk in research has grown substantially. To understand whether their results still hold, we conducted a partial replication to determine how Mechanical Turk workers continue to compare with students using UTAUT 2 as our theoretical model and virtual-reality headsets as the focal IT artifact. Our findings generally align with Steelman et al. (2014) and confirm that Mechanical Turk continues to offer a suitable alternative to student samples. This study reveals consistent results between the student and OCM samples, indicating the potential for interchangeability. The OCM samples are primarily male, while the student sample is majority female, following current US academic trends. All samples are significantly different in age, and only the US OCM and non-US OCM samples are similar in education. The path coefficients from the non-US OCM sample differ significantly from those from other OCM samples; the path coefficients derived from the student sample do not differ significantly from any OCM sample. While sample differences exist, as expected, many are addressable post hoc if anticipated and designed for during data collection. From our findings and the extant literature, we summarize recommendations for researchers and review teams.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138999105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Angélica Pigola, Priscila Rezende da Costa, Evandro Luis Lopes
{"title":"On Behalf of Digital Innovation: A Replication Study on International and National Executive Search Consultancy Firms","authors":"Angélica Pigola, Priscila Rezende da Costa, Evandro Luis Lopes","doi":"10.17705/1atrr.00080","DOIUrl":"https://doi.org/10.17705/1atrr.00080","url":null,"abstract":": Disruptive innovation (DI) provides an explanation for firms' success and failure in the business economy. Building on Karimi and Walter (2015), whose study ascertains dynamic capabilities (DC) in responding to digital platforms and firm performance, this study extends their model by examining the effect of relational capabilities as DC in international and national executive search consultancies (CERS) based in Brazil. CERS have been fundamentally changing their traditional operating business models because of digital platforms. Thus, a survey questionnaire from 141 CERS executives measured the impact of DC on CERS performance and digital platforms. The findings highlight that DC is positively associated with digital platform capacity and CERS performance, as Karimi and Walter (2015) also highlighted. We believe that the findings impact practitioners because this study is original in the context of CERS and valuable for new business model formation, showing that DCs are relevant in any dynamic business scenario. Theoretically, this study enhances DC and DI theories, confirming that digital platform capabilities are a powerful strategic choice to reinvent core business functions and accelerate innovativeness.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revisiting the Role and Impact of Information Technology Capability","authors":"Chuan (Annie) Tian, Radhika Santhanam, Pascal Nitiema","doi":"10.17705/1atrr.00081","DOIUrl":"https://doi.org/10.17705/1atrr.00081","url":null,"abstract":"This study is a conceptual replication of Bharadwaj (2000) investigating the impact of IT capability on a firm’s financial performance. The original study demonstrated that firms with superior IT capability will deliver superior financial performance manifested by higher profit ratios and lower cost ratios. However, conflicting findings emerged regarding the relationship between IT capability and a firm’s financial performance (Chae et al., 2014). Furthermore, in the past decade, advancements in statistical analysis, such as panel data modeling techniques that were not used in these past studies have provided more robust analytical techniques to observe patterns over time. Hence, incorporating the conceptual foundations as in prior studies on IT capability (e.g., Bharadwaj, 2000; Santhanam & Hartono, 2003), we re-investigate the impact of IT capability on a firm’s financial performance but do so by using a large longitudinal dataset and leveraging the power of panel data analysis. Our findings are consistent with the results of Bharadwaj (2000), Santhanam and Hartono (2003), and Choi and George (2016), suggesting that IT capability has a significant positive impact on financial performance. Our results do not support the findings of Chae et al. (2014), who found no association between IT capability and financial performance. We discuss the implications of our findings for the continued use of the theoretical framework of IT capability derived from the resource-based view.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"18 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138970627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trust Building Mechanisms in Online Health Communities and Their Impact on Information Adoption and Close Relationship Formation","authors":"Xin Liu, Ashley A. Bush","doi":"10.17705/1atrr.00075","DOIUrl":"https://doi.org/10.17705/1atrr.00075","url":null,"abstract":"This study conceptually replicates Fan and Lederman’s (2018) work on trust formation mechanisms in online health communities (OHCs). Social capital theory sets the framework for the research. Contextualized in online health communities (OHCs), it is the content contributors’ task to demonstrate trustworthiness by showing the credibility of the posted content in their previous postings. In contrast, the recipients, rather than the contributors, have to initially perceive trustworthiness in the sense of traditional social capital theory. We adopted the model, hypotheses, measurement, and statistical methods from the original study conducted by Fan and Lederman in 2018. Three out of nine hypotheses in our replication are not consistent with the original study results. The inconsistencies primarily lie in the antecedents of two types of trust. We discuss possible explanations for these discrepancies and suggest additional data and statistical tests to validate our replication results.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126175179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Replication Study of the Impact of Impulsivity on Risky Cybersecurity Behaviors","authors":"Zahra Aivazpour, V. Rao","doi":"10.17705/1atrr.00074","DOIUrl":"https://doi.org/10.17705/1atrr.00074","url":null,"abstract":"Hadlington (2017) conducted a survey using respondents from the United Kingdom (UK) to examine the relationship between the three dimensions of impulsivity and risky cybersecurity behavior. His results showed that risky cybersecurity behavior was positively correlated to attentional impulsivity and motor impulsivity, but was negatively correlated with non-planning impulsivity. He also examined the relationship between internet addiction and attitude towards cybersecurity, and, risky cybersecurity behaviors. Our longer term goal is to conduct research to gain an in-depth understanding of the role of impulsivity in cybersecurity. Towards this end, we conducted a methodological replication of the Hadlington study to determine the generalizability of his results for respondents from a different country, i.e., USA. Our replication confirmed most of the correlations between the variables in Hadlington’s study, though there are some differences that need further examination. We further explored the data in search of meaningful patterns in risky cybersecurity behaviors scale and its relationship with different impulsivity components. Our exploratory analysis suggests a need for a typology of cybersecurity behaviors. Overall, we see a sufficient basis to pursue research on the effects of impulsivity on risky security behaviors.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124871833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos I. Torres, John Correia, Deborah R. Compeau, Michelle Carter
{"title":"Computer Self Efficacy: A Replication After Thirty Years","authors":"Carlos I. Torres, John Correia, Deborah R. Compeau, Michelle Carter","doi":"10.17705/1atrr.00076","DOIUrl":"https://doi.org/10.17705/1atrr.00076","url":null,"abstract":"This work replicates Compeau and Higgins (1995) study of computer self-efficacy (CSE). Nearly 30 years have passed since those data were collected, and the CSE concept and measurement instrument have been widely used with very limited change. This, despite extensive changes in both the technological and user environment. The original study was conducted using a mail survey of professional workers who learned to use computers for business related tasks in organizational settings. We conduct a conceptual replication with digital natives (undergraduate business students) who were learning to use computers for business related tasks in a university lab setting. We test the original model, with the measures adapted as needed to match the context. Our results confirm some but not all the initial study’s hypotheses (9 replication study vs. 16 original study). These findings suggest the need for additional investigation into the utility of the original CSE conceptualization and the implications of computer self-efficacy in computer use for contemporary IS contexts.","PeriodicalId":193731,"journal":{"name":"AIS Transactions on Replication Research","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130812555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}