{"title":"“Enforced” vs. “Casual” Transparency -- Findings from IT-Supported Financial Advisory Encounters","authors":"Philipp Nussbaumer, I. Matter, G. Schwabe","doi":"10.1145/2229156.2229161","DOIUrl":"https://doi.org/10.1145/2229156.2229161","url":null,"abstract":"In sales-oriented service encounters like financial advice, the client may perceive information and interest asymmetries as a lack of transparency regarding the advisor’s activities. In this article, we will discuss two design iterations of a supportive tabletop application that we built to increase process and information transparency as compared to the traditional pen and paper encounters. While the first iteration’s design was “enforcing” transparency and therefore proved to be a failure [Nussbaumer et al. 2011], we built the second iteration on design rationales enabling more “casual” transparency. Experimental evaluations show that the redesigned system significantly increases the client’s perceived transparency, her perceived control of the encounter and improves her perceived trustworthiness of and satisfaction with the encounter. With these findings, we contribute to (1) insight into the role of transparency advisory encounter design; (2) design solutions for establishing particular facets of transparency and their potential instantiations in tabletop systems; and (3) insight into the process of designing for transparency with socio-technical artifacts that are emergent as a result of design activities.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115759590","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}
W. N. Robinson, A. Akhlaghi, Tianjie Deng, Ali Raza Syed
{"title":"Discovery and diagnosis of behavioral transitions in patient event streams","authors":"W. N. Robinson, A. Akhlaghi, Tianjie Deng, Ali Raza Syed","doi":"10.1145/2151163.2151167","DOIUrl":"https://doi.org/10.1145/2151163.2151167","url":null,"abstract":"Users with cognitive impairments use assistive technology (AT) as part of a clinical treatment plan. As the AT interface is manipulated, data stream mining techniques are used to monitor user goals. In this context, real-time data mining aids clinicians in tracking user behaviors as they attempt to achieve their goals. Quality metrics over stream-mined models identify potential changes in user goal attainment, as the user learns his or her personalized emailing system. When the quality of some data-mined models varies significantly from nearby models—as defined by quality metrics—the user's behavior is then flagged as a significant behavioral change. The specific changes in user behavior are then characterized by differencing the data-mined decision tree models. This article describes how model quality monitoring and decision tree differencing can aid in recognition and diagnoses of behavioral changes in a case study of cognitive rehabilitation via emailing. The technique may be more widely applicable to other real-time data-intensive analysis problems.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114909148","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":"How virtual teams use their virtual workspace to coordinate knowledge","authors":"A. Malhotra, A. Majchrzak","doi":"10.1145/2151163.2151169","DOIUrl":"https://doi.org/10.1145/2151163.2151169","url":null,"abstract":"Virtual team members increasingly rely on virtual workspace tools to coordinate knowledge that each individual brings to the team. How the use of these tools affects knowledge coordination within virtual teams is not well understood. We distinguish between tools as features and the use of the virtual workspace as providing affordances for behaviors. Using situational awareness theory, we hypothesized two affordances of virtual workspaces that facilitate knowledge coordination. Using trading zone theory, we hypothesized two forms of trading zones created by features of virtual workspaces and the impact of these trading zones on the creation of affordances for team members. Members of 54 teams were asked about the affordances of the virtual workspace, and team leaders were asked about specific tools provided to the team. Our hypothesized model was supported: the different forms of trading zones were differentially related to the different affordances and on affordances were related to knowledge coordination satisfaction. Theoretical implications focus on the distinction between features and affordances and on the identification of specific features that affect specific affordances. Practical implications for managers and engineers supporting virtual teams include the utility of becoming knowledgeable about different forms of trading zones that virtual workspaces can provide and understanding the relationship between trading zones and different affordances.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129516011","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}
K. A. Basoglu, M. A. Fuller, K. A. Basoglu, M. A. Fuller, Valacich
{"title":"Enhancement of recall within technology-mediated teams through the use of online visual artifacts","authors":"K. A. Basoglu, M. A. Fuller, K. A. Basoglu, M. A. Fuller, Valacich","doi":"10.1145/2151163.2151165","DOIUrl":"https://doi.org/10.1145/2151163.2151165","url":null,"abstract":"Given the distributed nature of modern organizations, the use of technology-mediated teams is a critical aspect of their success. These teams use various media that are arguably less personal than face-to-face communication. One factor influencing the success of these teams is their ability to develop an understanding of who knows what during the initial team development stage. However, this development of understanding within dispersed teams may be impeded because of the limitations of technology-enabled communication environments. Past research has found that a limited understanding of team member capabilities hinders team performance. As such, this article investigates mechanisms for improving the recall of individuals within dispersed teams. Utilizing the input-process-output model to conceptualize the group interaction process, three input factors—visual artifacts (i.e., a computer-generated image of each team member), team size, and work interruptions—are manipulated to assess their influence on a person's ability to recall important characteristics of their virtual team members. Results show that visual artifacts significantly increase the recall of individuals' information. However, high-urgency interruptions significantly deteriorate the recall of individuals, regardless of the visual artifact or team size. These findings provide theoretical and practical implications on knowledge acquisition and project success within technology-mediated teams.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129049642","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":"Design science and the accumulation of knowledge in the information systems discipline","authors":"F. Niederman, S. March","doi":"10.1145/2151163.2151164","DOIUrl":"https://doi.org/10.1145/2151163.2151164","url":null,"abstract":"Design science has emerged as an important research paradigm in the information systems (IS) discipline, and much has been written on how it should be conducted and evaluated (e.g., Hevner et al. [2004]; Walls et al. [1992]; Vaishnavi and Kuechler [2007]; Kuechler and Vaishnavi [2008]; Peffers et al. [2007]; Iivari [2010]; Pigneur [2011]). We contend that, as a socio-technical discipline, IS research must address the interaction between design and behavior. We begin with a background discussion of what we mean by IS research and the nature of the relationship between design and behavioral approaches to IS research. We discuss the nature of design, design science, and IT artifacts within information systems research and describe the importance of linking design and behavioral perspectives. We illustrate several key points using selected articles recently published in ACM Transactions on Management Information Systems [Schmidt-Rauch and Schwabe 2011; Lau et al. 2011]. We conclude with a vision of IS research in which the capabilities and affordances of IT artifacts are incorporated into behavioral studies; the results of behavioral studies are utilized in the development and evaluation of IT artifacts; and both behavioral and design perspectives are used to address the important problems of our constituent community.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130611348","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":"Impact of data characteristics on recommender systems performance","authors":"G. Adomavicius, Jingjing Zhang","doi":"10.1145/2151163.2151166","DOIUrl":"https://doi.org/10.1145/2151163.2151166","url":null,"abstract":"This article investigates the impact of rating data characteristics on the performance of several popular recommendation algorithms, including user-based and item-based collaborative filtering, as well as matrix factorization. We focus on three groups of data characteristics: rating space, rating frequency distribution, and rating value distribution. A sampling procedure was employed to obtain different rating data subsamples with varying characteristics; recommendation algorithms were used to estimate the predictive accuracy for each sample; and linear regression-based models were used to uncover the relationships between data characteristics and recommendation accuracy. Experimental results on multiple rating datasets show the consistent and significant effects of several data characteristics on recommendation accuracy.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120846038","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":"Deciphering word-of-mouth in social media: Text-based metrics of consumer reviews","authors":"Zhu Zhang, Xin Li, Yubo Chen","doi":"10.1145/2151163.2151168","DOIUrl":"https://doi.org/10.1145/2151163.2151168","url":null,"abstract":"Enabled by Web 2.0 technologies, social media provide an unparalleled platform for consumers to share their product experiences and opinions through word-of-mouth (WOM) or consumer reviews. It has become increasingly important to understand how WOM content and metrics influence consumer purchases and product sales. By integrating marketing theories with text mining techniques, we propose a set of novel measures that focus on sentiment divergence in consumer product reviews. To test the validity of these metrics, we conduct an empirical study based on data from Amazon.com and BN.com (Barnes & Noble). The results demonstrate significant effects of our proposed measures on product sales. This effect is not fully captured by nontextual review measures such as numerical ratings. Furthermore, in capturing the sales effect of review content, our divergence metrics are shown to be superior to and more appropriate than some commonly used textual measures the literature. The findings provide important insights into the business impact of social media and user-generated content, an emerging problem in business intelligence research. From a managerial perspective, our results suggest that firms should pay special attention to textual content information when managing social media and, more importantly, focus on the right measures.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114246847","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}
Raymond Y. K. Lau, S. Liao, R. Kwok, Kaiquan Xu, Yunqing Xia, Yuefeng Li
{"title":"Text mining and probabilistic language modeling for online review spam detection","authors":"Raymond Y. K. Lau, S. Liao, R. Kwok, Kaiquan Xu, Yunqing Xia, Yuefeng Li","doi":"10.1145/2070710.2070716","DOIUrl":"https://doi.org/10.1145/2070710.2070716","url":null,"abstract":"In the era of Web 2.0, huge volumes of consumer reviews are posted to the Internet every day. Manual approaches to detecting and analyzing fake reviews (i.e., spam) are not practical due to the problem of information overload. However, the design and development of automated methods of detecting fake reviews is a challenging research problem. The main reason is that fake reviews are specifically composed to mislead readers, so they may appear the same as legitimate reviews (i.e., ham). As a result, discriminatory features that would enable individual reviews to be classified as spam or ham may not be available. Guided by the design science research methodology, the main contribution of this study is the design and instantiation of novel computational models for detecting fake reviews. In particular, a novel text mining model is developed and integrated into a semantic language model for the detection of untruthful reviews. The models are then evaluated based on a real-world dataset collected from amazon.com. The results of our experiments confirm that the proposed models outperform other well-known baseline models in detecting fake reviews. To the best of our knowledge, the work discussed in this article represents the first successful attempt to apply text mining methods and semantic language models to the detection of fake consumer reviews. A managerial implication of our research is that firms can apply our design artifacts to monitor online consumer reviews to develop effective marketing or product design strategies based on genuine consumer feedback posted to the Internet.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134073145","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":"From information to operations: Service quality and customer retention","authors":"B. Padmanabhan, A. Hevner, M. Cuenco, Crystal Shi","doi":"10.1145/2070710.2070712","DOIUrl":"https://doi.org/10.1145/2070710.2070712","url":null,"abstract":"In business, information is abundant. Yet, effective use of that information to inform and drive business operations is a challenge. Our industry-university collaborative project draws from a rich dataset of commercial demographics, transaction history, product features, and Service Quality Index (SQI) factors on shipping transactions at FedEx. We apply inductive methods to understand and predict customer churn in a noncontractual setting. Results identify several SQI variables as important determinants of churn across a variety of analytic approaches. Building on this we propose the design of a Business Intelligence (BI) dashboard as an innovative approach for increasing customer retention by identifying potential churners based on combinations of predictor variables such as demographics and SQI factors. This empirical study contributes to BI research and practice by demonstrating the application of data analytics to the fundamental business operations problem of customer churn.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132248296","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":"Six principles for redesigning executive information systems—findings of a survey and evaluation of a prototype","authors":"F. Marx, Jörg H. Mayer, R. Winter","doi":"10.1145/2070710.2070717","DOIUrl":"https://doi.org/10.1145/2070710.2070717","url":null,"abstract":"Information Systems (IS) meant to help senior managers are known as Executive Information Systems (EIS). Despite a five-decade tradition of such IS, many executives still complain that they bear little relevance to managing a company and, even more, fail to accommodate their working style. The increasing acceptance of IS among today's executives and technological advances of the Internet era make the present moment favorable for redesigning EIS. Following the design science paradigm in IS research, this article provides six principles for such a redesign. To do so, we survey executives regarding their requirements and the IS they currently use. We then derive principles for a redesign to fill the gaps. They address diverse areas: a comprehensive information model, functions to better analyze and process information, easy-to-use IS handling, a more flexible IS architecture and data model, a proper information management, and fast prototype implementation. Finally a field test demonstrates and evaluates the utility of our proposal by means of a prototype.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127850140","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}