Susan A Brown
- Department Head, Management Information Systems
- Professor, Management Information Systems
- Member of the Graduate Faculty
- Ph.D. Business Administration
- University of Minnesota, Minneapolis, Minnesota, United States
- Knowledge, Communication, and Progressive Use of Information Technology
- M.B.A. Business Administration
- Syracuse University, Syracuse, New York, United States
- B.A. Mathematics
- Keuka College, Keuka Park, New York, United States
- Best Paper award nomination
- Hawaiian International Conference on Systems Sciences, Winter 2020 (Award Nominee)
- AIS Challenge Award
- AIS, Summer 2020
- AIS Fellow
- Association of Information Systems (AIS), Fall 2017
- 2017 Rudolph J. Joenk, Jr. Award for Best Paper in the IEEE Transactions on Professional Communication
- IEEE Professional Communication Society, Summer 2017
- AIS Sandra Slaughter Service Award
- Association for Information Systems, Fall 2016
- Emerald Citation of Excellence Award
- Emerald Group Publishing, Fall 2016
- Academic Leadership Institute
- University of Arizona, Fall 2015
- Best Paper Award
- Americas Conference on Information Systems, Summer 2015
No activities entered.
Business Foundations/ITMIS 513 (Fall 2021)
Business Foundations/ITMIS 513 (Summer I 2021)
DissertationMIS 920 (Spring 2021)
Topic Rsrch Mthdlgy MisMIS 611B (Spring 2021)
Business Foundations/ITMIS 513 (Fall 2020)
DissertationMIS 920 (Fall 2020)
Business Foundations/ITMIS 513 (Summer I 2020)
DissertationMIS 920 (Spring 2020)
Business Foundations/ITMIS 513 (Fall 2019)
Business Foundations/ITMIS 513 (Spring 2019)
Strategic Mgmt Info SystMIS 585 (Spring 2019)
Topic Rsrch Mthdlgy MisMIS 611B (Spring 2019)
Business Foundations/ITMIS 513 (Summer I 2018)
Strategic Mgmt Info SystMIS 585 (Summer I 2018)
Topic Rsrch Mthdlgy MisMIS 611B (Spring 2018)
Business Foundations/ITMIS 513 (Fall 2017)
Strategic Mgmt Info SystMIS 585 (Fall 2017)
Business Foundations/ITMIS 513 (Spring 2017)
Topic Rsrch Mthdlgy MisMIS 611B (Spring 2017)
Honors ThesisMIS 498H (Fall 2016)
Strategic Mgmt Info SystMIS 585 (Fall 2016)
Business Foundations/ITMIS 513 (Summer I 2016)
Independent StudyMIS 699 (Spring 2016)
Topic Rsrch Mthdlgy MisMIS 611B (Spring 2016)
- Dang, Y., Zhang, Y., Brown, S. A., & Chen, H. (2020). Examining the Impacts of Mental Workload and Task Technology Fit on User Acceptance of the Social Media Search System. Information Systems Frontiers, 22, 697-718. doi:https://doi.org/10.1007/s10796-019-09904-2
- Dennis, A. R., Brown, S. A., Wells, T., & Rai, A. (2020). Editor’s Comments: Replication Crisis or Replication Reassurance: Results of the IS Replication Project. MIS Quarterly, 44(3), iii-vii.
- Brown, S. A., Dennis, A. R., & Valacich, J. S. (2018). A Comment on Is Information Systems a Science?. Communications of the Association for Information Systems, 43(14). doi:10.17705/1CAIS.04314
- Durcikova, A., Lee, A. S., & Brown, S. A. (2018). Making Rigorous Research Relevant: Doing Action Research that Enacts Positivist Theory to Improve a Knowledge Management System. MIS Quarterly, 42(1), 241-263. doi:10.25300/MISQ/2018/14146
- Chen, H., Brown, S. A., Dang, Y. M., & Zhang, Y. G. (2017). Investigating the Impacts of Avatar Gender, Avatar Age, and Region Theme on Avatar Activity in the Virtual World. Computers in Human Behavior.
- Goode, S., Hoehle, H., Venkatesh, V., & Brown, S. A. (2017). Understanding User Compensation as a Data Breach Recovery Action: A Study of the Sony PlayStation Network Breach. MIS Quarterly, 41(3), 703-727.
- Maruping, L., Bala, H., Venkatesh, V., & Brown, S. A. (2017). Going Beyond Intention: Integrating behavioral Expectation into the Unified Theory of Acceptance and Use of Technology (UTAUT). Journal of the American Society for Information Systems and Technology, 68(3), 623-637. doi:10.1002/asi.23699
- Matook, S., & Brown, S. A. (2017). Delineating Characteristics of IT Artifacts: A Systems Thinking Framework. Information Systems Journal, 27(3), 309-346. doi:10.1111/isj.12108
- Saunders, C., Brown, S. A., Bygstad, B., Dennis, A. R., Ferran, C., Galletta, D. F., Liang, T., Lowry, P. B., & Sarker, S. (2017). Goals, Values, and Expectations of the AIS Family of Journals. Journal of the Association for Information Systems, 18(9), 633-647.
- Topi, H., Karsten, H., Brown, S. A., Carvalho, J. A., Donnellan, B., Shen, J., Tan, B. C., & Thouin, M. F. (2017). MSIS 2016 Global Competency Model for Graduate Degree Programs in Information Systems. Communications of the AIS, 40, Article 18.
- Zhang, Y. G., Dang, Y. M., Brown, S. A., & Chen, H. (2017). Investigating the Impacts of Avatar Gender, Avatar Age, and Region Theme on Avatar Activity in the Virtual World. Computers in Human Behavior, 68, 378-387.
- Brown, S. A., Fuller, R. M., & Thatcher, S. M. (2016). Impression formation and durability in mediated communication. Journal of the Association for Information Systems, 17(9), Article 1.
- Brown, S. A., Massey, A. P., & Ward, K. (2016). Handle Mergers and Acquisitions With Care: The Fragile Nature of the User IT-Service Provider Relationship. European Journal of Information Systems, 25(2), 170-186. doi:10.1057/ejis.2105.10
- Fuller, R. M., Michelle, V. M., & Brown, S. A. (2016). Longitudinal Effects of Computer-Mediated Communication Anxiety on Interaction in Virtual Teams. IEEE Transactions on Professional Communications, 59(3), 166-185.
- Venkatesh, V., Brown, S. A., & Wati, Y. (2016). Guidelines for Conducting Mixed-Methods Research: An Extension and Illustration. Journal of the Association for Information Systems, 17(7), Article 2.
- Brown, S. A., Venkatesh, V., & Hoehle, H. (2015). Technology Adoption Decisions in the Household: A Seven Model Comparison. Journal of the American Society for Information Systems and Technology, 66(9), 1933-1949.
- Carl, K., & Dror, M. (2015). Multi-Day Bicycle Tour Route Generation. J. of Quantitative Analysis in Sports.
- Giboney, J., Brown, S. A., Lowry, P. B., & Nunamaker, J. F. (2015). User Acceptance of Knowledge-Based System Recommendations: Explanations, Arguments, and Fit. Decision Support Systems, 72, 1-10.
- Brown, S. A., Venkatesh, V., & Goyal, S. (2014). Expectation Confirmation: A Test of Six Competing Models. MIS Quarterly, 38(3), 729-756.
- Dang, Y., Zhang, Y., Hu, P. J., Brown, S. A., Ku, Y., Wang, H., & Chen, H. (2014). An Integrated Framework for Analyzing Multilingual Content in Web 2.0 Social Media. Decision Support Systems, 61, 126-135.
- Dang, Y., Zhang, Y., Hu, P. J., Brown, S. A., Yungchang, K. u., Wang, J., & Chen, H. (2014). An integrated framework for analyzing multilingual content in Web 2.0 social media. Decision Support Systems, 61(1), 126-135.More infoAbstract: The growth of Web 2.0 has produced enormous amounts of user-generated content that contains important information about individuals' attitudes, perceptions, and opinions toward products, social events, and political issues. The volume of such content is increasing exponentially, making its search, analysis, and use more difficult and thus favoring advanced tools that aid in information search and processing. We propose an integrated framework that offers an infrastructure necessary for accessing, integrating, and analyzing multilingual user-generated content from different social media sites. Building on this framework, we develop the Dark Web Forum Portal (DWFP) that supports the gathering and analyses of social media content concerning security. Our evaluation results show that users supported by DWFP complete tasks better and faster than those using the benchmark forum. Participants consider DWFP to be better in terms of system quality, usefulness, ease of use, satisfaction and intention to use. © 2014 Elsevier B.V. All rights reserved.
- Matook, S., Brown, S. A., & Rolf, J. (2014). Will She or Won't She? Recommendation Acceptance in Online Social Networks. European Journal of Information Systems, 24(1), 76-92.
- Brown, S. A., Dennis, A. R., Burley, D., & Arling, P. (2013). Knowledge sharing and knowledge management system avoidance: The role of knowledge type and the social network in bypassing an organizational knowledge management system. Journal of the American Society for Information Science and Technology, 64(10), 2013-2023.More infoAbstract: Knowledge sharing is a difficult task for most organizations, and there are many reasons for this. In this article, we propose that the nature of the knowledge shared and an individual's social network influence employees to find more value in person-to-person knowledge sharing, which could lead them to bypass the codified knowledge provided by a knowledge management system (KMS). We surveyed employees of a workman's compensation board in Canada and used social network analysis and hierarchical linear modeling to analyze the data. The results show that knowledge complexity and knowledge teachability increased the likelihood of finding value in person-to-person knowledge transfer, but knowledge observability did not. Contrary to expectations, whether the knowledge was available in the KMS had no impact on the value of person-to-person knowledge transfer. In terms of the social network, individuals with larger networks tended to perceive more value in the person-to-person transfer of knowledge than those with smaller networks. © 2013 ASIS&T.
- Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly: Management Information Systems, 37(1), 21-54.More infoAbstract: Mixed methods research is an approach that combines quantitative and qualitative research methods in the same research inquiry. Such work can help develop rich insights into various phenomena of interest that cannot be fully understood using only a quantitative or a qualitative method. Notwithstanding the benefits and repeated calls for such work, there is a dearth of mixed methods research in information systems. Building on the literature on recent methodological advances in mixed methods research, we develop a set of guidelines for conducting mixed methods research in IS. We particularly elaborate on three important aspects of conducting mixed methods research: (1) appropriateness of a mixed methods approach; (2) development of meta-inferences (i.e., substantive theory) from mixed methods research; and (3) assessment of the quality of meta-inferences (i.e., validation of mixed methods research). The applicability of these guidelines is illustrated using two published IS papers that used mixed methods. Copyright © 2013 by the Management Information Systems Research Center (MISRC) of the University of Minnesota.
- Brown, S. A., Venkatesh, V., & Goyal, S. (2012). Expectation confirmation in technology use. Information Systems Research, 23(2), 474-487.More infoAbstract: We propose a model to study expectation confirmation in information systems. The proposed model is based on the assimilation-contrast model and prospect theory, and suggests that both are needed to account for the magnitude and direction of the deviations between experiences and expectations. Using the technology acceptance model's (TAM) primary construct-namely, perceived usefulness-expectations and experiences were conceptualized and operationalized to test our model. Data were collected in a field study from 1,113 participants at two points in time. Using polynomial modeling and response surface analysis, we demonstrated that our model offers a good explanation of the relationship among information systems expectations, experiences, and use. We discuss theoretical and practical implications. © 2012 INFORMS.
- Thatcher, S. M., Brown, S. A., & Jenkins, J. L. (2012). E-collaboration media use and diversity perceptions: An evolutionary perspective of virtual organizations. International Journal of e-Collaboration, 8(2), 28-46.More infoAbstract: Virtual organizations enable collaboration and interaction among a diverse set of people regardless of their temporal and spatial dispersion. Throughout the life of a virtual organization, diversity plays an influential role in determining outcomes that ultimately affect the longevity and success of the organization. The goal of this paper is to describe the role diversity plays during different organizational evolutionary approaches, and how e-collaboration media characteristics interact with diversity and organizational evolution to influence outcomes. The authors leverage media synchronicity theory to discuss how the characteristics of different e-collaboration media can reduce or enhance perceived diversity. The role that perceived diversity has in determining outcomes is a function of whether a virtual organization is evolving according to the life-cycle, telelogical, or dialectic evolutionary approaches. Guided by organizational evolution, diversity, attribution, and media theories, the authors propose a theoretical framework with a set ofpropositions. The authors also provide an illustration of how the framework may be implemented by managers of virtual organizations. Copyright © 2012, IGI Global.
- Venkatesh, V., Thong, J. Y., Chan, F. K., Hu, P. J., & Brown, S. A. (2011). Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6), 527-555.More infoAbstract: This study presents two extensions to the two-stage expectation-confirmation theory of information systems (IS) continuance. First, we expand the belief set from perceived usefulness in the original IS continuance model to include three additional predictors identified in the unified theory of acceptance and use of technology, namely effort expectancy, social influence and facilitating conditions. Second, we ground the IS continuance model in the context of transactional systems that involve transmission of personal and sensitive information and include trust as a key contextual belief in the model. To test the expanded IS continuance model, we conducted a longitudinal field study of 3159 Hong Kong citizens across two electronic government (e-government) technologies that enable citizens' access to government services. In general, the results support the expanded model that provides a rich understanding of the changes in the pre-usage beliefs and attitudes through the emergent constructs of disconfirmation and satisfaction, ultimately influencing IS continuance intention. Finally, we discuss the theoretical and practical implications of the expanded model. © 2011 Blackwell Publishing Ltd.
- Zhang, X., Venkatesh, V., & Brown, S. A. (2011). Designing collaborative systems to enhance team performance. Journal of the Association of Information Systems, 12(8), 556-584.More infoAbstract: Collaborative technologies are widely used to enable teams to function effectively in today's competitive business environment. However, prior research has been inconclusive regarding the impacts of collaborative technologies on team performance. To address the inconsistencies in prior work, this paper seeks to understand the mediational mechanisms that transmit the effect of collaborative technologies on team performance. Specifically, we theorize that there is a relationship between design features and knowledge contextualization. We further theorize relationships between knowledge contextualization and a team's capability for collaboration, specifically examining collaboration know-how and absorptive capacity, both of which are expected to influence team performance. We conduct a field study including 190 software project teams from a large organization in China. The results support our theoretical model and demonstrate that design features have an impact on performance outcomes, mediated by collaboration know-how and absorptive capacity.
- Brown, S., Dennis, A., & Venkatesh, V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of Management Information Systems, 27(2), 9-53.More infoAbstract: The paper presents a model integrating theories from collaboration research (i.e., social presence theory, channel expansion theory, and the task closure model) with a recent theory from technology adoption research (i.e., unified theory of acceptance and use of technology, abbreviated to UTAUT) to explain the adoption and use of collaboration technology. We theorize that collaboration technology characteristics, individual and group characteristics, task characteristics, and situational characteristics are predictors of performance expectancy, effort expectancy, social influence, and facilitating conditions in UTAUT. We further theorize that the UTAUT constructs, in concert with gender, age, and experience, predict intention to use a collaboration technology, which in turn predicts use. We conducted two field studies in Finland among (1) 349 short message service (SMS) users and (2) 447 employees who were potential users of a new collaboration technology in an organization. Our model was supported in both studies. The current work contributes to research by developing and testing a technology-specific model of adoption in the collaboration context. © 2010 M.E. Sharpe, Inc.
- Chan, F. K., Thong, J. Y., Venkatesh, V., Brown, S. A., Hu, P. J., & Tam, K. Y. (2010). Modeling citizen satisfaction with mandatory adoption of an E-Government technology. Journal of the Association of Information Systems, 11(10), 519-549.More infoAbstract: While technology adoption is a major stream of research in information systems, few studies have examined the antecedents and consequences of mandatory adoption of technologies. To address this gap, we develop and test a model of mandatory citizen adoption of an e-government technology. Based on a framework that outlines the key stages associated with the launch of technology products, we identify various external factors as antecedents of four key technology adoption variables from the unified theory of acceptance and use of technology (UTAUT), i.e., performance expectancy, effort expectancy, social influence, and facilitating conditions, which ultimately impact citizen satisfaction. The four stages of technology launch and the salient antecedents in each stage are: (1) market preparation stage?awareness; (2) targeting stage?compatibility and self-efficacy; (3) positioning stage?flexibility and avoidance of personal interaction; and (4) execution stage?trust, convenience, and assistance. We test our model in a two-stage survey of 1,179 Hong Kong citizens, before and after they were issued a mandatory smart card to access e-government services. We find that the various factors tied to the different stages in launching the technology predict key technology adoption variables that, in turn, predict citizen satisfaction with e-government technology. We discuss the theoretical and practical implications for governments implementing technologies whose use by citizens is mandated.
- Fadel, K. J., & Brown, S. A. (2010). Information systems appraisal and coping: The role of user perceptions. Communications of the Association for Information Systems, 26(1), 107-126.More infoAbstract: Organizations increasingly rely on complex information systems (IS) to preserve and enhance competitive advantage. Prior work has shown that these IS are often underutilized, prompting researchers and practitioners to seek out better explanations to account for IS use behaviors. Coping theory has recently emerged as a promising foundation for understanding users' post-adoptive reactions to IS. This paper takes a first step toward integrating theories of IS adoption and use with coping theory by examining how adoption-related IS perceptions influence individual-level post-adoptive IS appraisal. Survey data collected from IS users at a university health center indicate that performance and effort expectancies surrounding use of the IS strongly influence primary IS appraisal (judgments of what is at stake as a result of the IS), while the presence of facilitating conditions relates to secondary IS appraisal (judgments of what can be done in response to the IS). © 2010 by the authors.
- Thatcher, S. M., & Brown, S. A. (2010). Individual creativity in teams: The importance of communication media mix. Decision Support Systems, 49(3), 290-300.More infoAbstract: We use compensatory adaptation and dual coding theories to explore the effects of communication media use on creativity. Our field study results show that high levels of self-esteem and information-based demographic differences positively influence creativity. Social category differences negatively influence creativity. Communication media mix is an important moderator, improving the relationship of self-esteem and social category demographic differences with creativity when individuals have proportionally more mediated communication. The relationship between information-based demographic differences and creativity is attenuated when individuals use proportionally more mediated communication. The results have implications for managers encouraging creativity among a diverse workforce using multiple communication media. © 2010 Elsevier B.V. All rights reserved.
- Hu, P. J., Brown, S. A., Y., J., K., F., & Tam, K. Y. (2009). Determinants of service quality and continuance intention of online services: The case of eTax. Journal of the American Society for Information Science and Technology, 60(2), 292-306.More infoAbstract: This article examines the determinants of service quality and continuance intention of online services. We proposed and empirically tested a model with both service and technology characteristics as the main drivers of service quality and subsequent continuance intention of eTax, an electronic government (eGovernment) service that enables citizens to file their taxes online. Our data were collected via a two-stage longitudinal online survey of 518 participants before and after they made use of the eTax service in Hong Kong. The results showed that both service characteristics (i.e., security and convenience) and one of the technology characteristics (i.e., perceived usefulness, but not perceived ease of use) were the key determinants of service quality. Another interesting and important finding that runs counter to the vast body of empirical evidence on predicting intention is that perceived usefulness was not the strongest predictor of continuance intention but rather service quality was. To provide a richer picture of these relationships, we also conducted a post-hoc analysis of the effects of service and technology characteristics on the individual dimensions of service quality and their subsequent impact on continuance intention and found assurance and reliability to be the only significant predictors of continuance intention. We present implications for research and practice related to online services.
- Brown, S. A. (2008). Household technology adoption, use, and impacts: Past, present, and future. Information Systems Frontiers, 10(4), 397-402.More infoAbstract: Since the 1980s, researchers have been studying the phenomenon associated with technology being diffused to the household. In this paper, three themes in that stream of research, specifically adoption, use, and impacts, are explored. Key studies from prior research within each theme are discussed and directions for future research are offered. The directions for future research range from investigating adoption issues associated with the digital divide to understanding the impacts of new technology and social networking sites on individuals and families. The evolving nature of the technology continues to offer interesting research directions and challenges, with the study of unintended consequences of technology use presenting, perhaps, the greatest opportunities. © 2008 Springer Science+Business Media, LLC.
- Brown, S. A., Venkatesh, V., Kuruzovich, J., & Massey, A. P. (2008). Expectation confirmation: An examination of three competing models. Organizational Behavior and Human Decision Processes, 105(1), 52-66.More infoAbstract: We discuss three theoretical models from met expectations research in the fields of organizational behavior and consumer psychology. Based on the fundamental arguments in the models, we term these models: disconfirmation, ideal point, and experiences only. We present three-dimensional graphical and analytical representations of the models, with satisfaction being a function of expectations and experiences. We tested the models in the context of a new information system implementation in an organization, with expectations, experiences, and system satisfaction measured for both ease of use and usefulness, the focal constructs of the Technology Acceptance Model (TAM). We found that an experiences only model in which expectations had no measurable effect best explained the data for ease of use. The results for usefulness indicated a modified version of the experiences only model in which the positive effect of experiences becomes slightly stronger-i.e., more positive-as expectations increase. © 2006 Elsevier Inc. All rights reserved.
- Matook, S., & Brown, S. A. (2008). Conceptualizing the it artifact for MIS research. ICIS 2008 Proceedings - Twenty Ninth International Conference on Information Systems.More infoAbstract: The notion of the information technology (IT) artifact has received a great deal of attention, particularly since Benbasat and Zmud's (2003) call for it to be the core of the information systems discipline. Yet, little work has focused on defining and discussing the IT artifact in a way that can facilitate consistent treatment across studies. In this paper, we develop a taxonomy of the IT artifact. The taxonomy is derived from literature on general systems theory and Akerman and Tyree's (2006) architectural ontology. We provide a preliminary explication of the taxonomy using four different systems as examples. We also discuss the iterative approach we will take to develop the taxonomy more completely. Our objective is to develop a taxonomy that will provide a language for IS researchers to use when discussing the IT artifact.
- Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system USE: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly: Management Information Systems, 32(3), 483-502.More infoAbstract: Employees' underutilization of new information systems undermines organizations' efforts to gain benefits from such systems. The two main predictors of individual-level system use in prior research-behavioral intention and facilitating conditions-have limitations that we discuss. We introduce behavioral expectation as a predictor that addresses some of the key limitations and provides a better understanding of system use. System use is examined in terms of three key conceptualizations: duration, frequency, and intensity. We develop a model that employs behavioral intention, facilitating conditions, and behavioral expectation as predictors of the three conceptualizations of system use. We argue that each of these three determinants play different roles in predicting each of the three conceptualizations of system use. We test the proposed model In the context of a longitudinal field study of 321 users of a new information system. The model explains 65 percent, 60 percent, and 60 percent of the variance in duration, frequency, and intensity of system use respectively. We offer theoretical and practical implications for our findings.
- Brown, S. A., Chervany, N. L., & Reinicke, B. A. (2007). What matters when introducing new information technology. Communications of the ACM, 50(9), 91-96.More infoAbstract: Various factors are needed for a successful implementation of information systems (IS) by researchers and practitioners to save IS project costs. The successful IS project factors include commitment, knowledge, communication, planning, and infrastructure. Six stages of IS implementation include initiation, adoption, adaptation, acceptance, routinization, and infusion. Organizations need to invest in educating the employees to identify new technologies that support the business strategies even during financial deficiency. A certain amount of flexibility need to be developed into the business architecture, infrastructure, and the planning process, to facilitate the integration of new technologies in the information systems. The business organization need to evaluate the enhanced employees skills and performances to support cost effective IS projects.
- Brown, S., Venkatesh, V., & Bala, H. (2006). Household technology use: Integrating household life cycle and the model of adoption of technology in households. Information Society, 22(4), 205-218.More infoAbstract: Recently, the model of adoption of technology in households (MATH) was developed and tested in the context of household personal computer (PC) adoption. In this study, we apply MATH to predict personal computer (PC) use. We conducted a nationwide survey including 370 households that owned at least one PC. Results indicate that attitudinal beliefs are extremely important in determining use of a PC in the household. In contrast to previous work examining adopters, normative and control beliefs were not significant in predicting use. Furthermore, several determinants of adoption that were important at different stages of the household life cycle were found nonsignificant in predicting use for the same stages of the household life cycle. Overall, the results demonstrate that the belief structure for household PC use is different from that of household PC adoption. Further, the results provide additional evidence regarding the importance of including household life cycle in studies of household technology adoption and use.
- Fuller, R. M., Vician, C., & Brown, S. A. (2006). E-learning and individual characteristics: The role of computer anxiety and communication apprehension. Journal of Computer Information Systems, 46(4), 103-115.More infoAbstract: Research has examined the role of technology in instruction and corporate training for over three decades. Advances in communication and computing technologies, coupled with the wide availability of the Internet, have spurred additional interest in technology-mediated and distance education programs. Yet, it is important to realize that technology can both enhance and hinder education. In this paper, we report the results of a field study conducted to understand how a particular set of individual characteristics, anxiety associated with computers and apprehension of oral and written communications, can lead to anxiety of using computers to communicate (anxiety associated with the use of email) and how this resulting anxiety might influence learning in a technology-mediated environment. Our results indicate that these anxieties are significant, influential factors in an individual's e-Learning experience. Anxiety with computers and apprehension of oral communication, with email familiarity explained 68% of the variance in the resulting anxiety associated with the use of email. This email anxiety and computer familiarity accounted for 22% of the variance in email use. Email use and age accounted for 11% of the variance in learner performance. These results highlight the relevance of individual-level anxiety characteristics and their importance in evaluating e-Learning programs. Implications for practice and directions for future research are discussed.
- Hasty, B. K., Massey, A. P., & Brown, S. A. (2006). Role-based experiences, media perceptions, and knowledge transfer success in virtual dyads. Group Decision and Negotiation, 15(4), 367-387.More infoAbstract: Knowledge transfer (KT) is the process through which one is affected by the experience of another. While many of the challenges of KT have been discussed in the literature (e.g. incentives cognitive limitations) the challenge of KT in virtual settings has received limited attention. In this paper our interest lies in exploring asymmetric KT where a sender has more knowledge about a topic than a receiver. We focus on a dyadic relationship between geographically dispersed sender and receiver units supported by a multi-media technology environment. Drawing from the KT literature and Channel Expansion Theory we specifically explore the evolution of and relationship between role-based experiences (e.g. with partner topic media) and media richness perceptions. Our results provide evidence that KT roles do matter relative to the acquisition of experiences and expansions in media richness perceptions. Despite some differences in acquired experiences our results also suggest that KT partners converge in their perceptions of acquired experiences and evolve to shared (or congruent) perceptions of media richness. Finally our results provide evidence that sender-receiver congruence in media richness perceptions influences KT success. © Springer 2006.
- Venkatesh, V., Maruping, L. M., & Brown, S. A. (2006). Erratum to "Role of time in self-prediction of behavior" [Organizational Behavior and Human Decision Processes 100 (2006) 160-176] (DOI:10.1016/j.obhdp.2006.02.003). Organizational Behavior and Human Decision Processes, 101(2), 262-.
- Venkatesh, V., Maruping, L. M., & Brown, S. A. (2006). Role of time in self-prediction of behavior. Organizational Behavior and Human Decision Processes, 100(2), 160-176.More infoAbstract: This paper examines three specific manifestations of time-anticipation (proximal vs. distal), prior experience with the behavior, and frequency (episodic vs. repeat)-as key contingencies affecting the predictive validity of behavioral intention, perceived behavioral control, and behavioral expectation in predicting behavior. These three temporal contingencies are examined in two longitudinal field studies: (1) study 1-a 6-month study of personal computer (PC) purchase behavior among 861 households and (2) study 2-a 12-month study among 321 employees in the context of a new technology implementation in an organization. In study 1, where the episodic behavior of PC purchase was examined, we found that increasing anticipation (i.e., more distal) weakened the relationship between behavioral intention and behavior and strengthened the relationship between behavioral expectation and behavior. In contrast, increasing experience strengthened the relationship between behavioral intention and behavior and weakened the relationship between behavioral expectation and behavior. In study 2, where the repeat behavior of technology use was examined, we found two significant 3-way interactions: (1) the relationship between behavioral intention and behavior was strongest when anticipation was low (i.e., proximal) and experience was high and (2) the relationship between behavioral expectation and behavior was strongest when anticipation was high (i.e., distal) and experience was low. © 2006 Elsevier Inc. All rights reserved.
- Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly: Management Information Systems, 29(3), 399-426.More infoAbstract: Individual adoption of technology has been studied extensively in the workplace. Far less attention has been paid to adoption of technology in the household. In this paper, we performed the first quantitative test of the recently developed model of adoption of technology in households (MATH). Further, we proposed and tested a theoretical extension of MATH by arguing that key demographic characteristics that vary across different life cycle stages would play moderating roles. Survey responses were collected from 746 U.S. households that had not yet adopted a personal computer. The results showed that the integrated model, including MATH constructs and life cycle characteristics, explained 74 percent of the variance in intention to adopt a PC for home use, a significant increase over baseline MATH that explained 50 percent of the variance. Finally, we compared the importance of various factors across household life cycle stages and gained a more refined understanding of the moderating role of household life cycle stage.
- Ward, K. W., Brown, S. A., & Massey, A. P. (2005). Organisational influences on attitudes in mandatory system use environments: A longitudinal study. International Journal of Business Information Systems, 1(1-2), 9-30.More infoAbstract: Usage of information systems has moved increasingly from being an optional means of enhancing productivity to a required part of organisational jobs. However, prior research on technology acceptance has largely focused on volitional systems and on individual, rather than organisational factors that could influence technology acceptance and use. As a result, little is known about how management may be able to influence user attitudes toward use of mandatory systems. In this paper, we examine the impact of organisational level influences on individual user attitudes toward system use over time. Our study is set in the context of a major mandatory system implementation at a multi-bank holding company. Our results suggest that subjective norms, top management commitment, and perceived organisational benefits are important to users at different times in the implementation process. Our results also highlight that direct system experience plays a significant role in determining which factors are important and when. Copyright © 2005 Inderscience Enterprises Ltd.
- Brown, S. A., & Venkatesh, V. (2003). Bringing non-adopters along: The challenge facing the PC industry. Communications of the ACM, 46(4), 76-80.More infoAbstract: The challenges and decline in sales of the personal computer (PC) are discussed. The research findings show the folly of assuming current non-adopters care about the same things as innovators and early adopters, or assuming that all they care about is PC cost. While cost may be a factor for those still holding out, it is neither the only nor the most important factor. Instead, later adopters want long-lasting products that have yet to appear on the horizon. Until the PC industry convinces this group of potential consumers that their PC will operate like a refrigerator, PC sales are likely to continue in their current stalled state.
- Brown, S. A., Massey, A. P., Montoya-Weiss, M., & Burkman, J. R. (2002). Do I really have to? User acceptance of mandated technology. European Journal of Information Systems, 11(4), 283-295.More infoAbstract: Extensive research supports the notion that usefulness and ease of use are primary drivers of user intentions to adopt new technology. However, this research has been conducted primarily in environments in which adoption was voluntary. When technology use is mandated, as it is in many organizations, we expect that the underlying relationships of traditional technology acceptance models will be different. In this paper, we discuss our current understanding of technology acceptance, as well as the notion of mandated use. We then discuss a field study conducted in the banking industry to examine technology acceptance models in a mandated use environment. The results indicate that there are, in fact, differences in the underlying relationships of technology acceptance models in this mandatory use situation. The paper concludes with a discussion of the implications for research and practice. European Journal of Information Systems (2000) 11.
- Massey, A. P., Montoya-Weiss, M., & Brown, S. A. (2001). Reaping the benefits of innovative IT: The long and winding road. IEEE Transactions on Engineering Management, 48(3), 348-357.More infoAbstract: The expectation that banks and other service industries will do better through investments in innovative IT applications requires a fundamental understanding that benefits do not stem from technology alone. Innovative IT applications have the potential to change the way banks conduct their business and, as such, must be viewed as a major organizational change. This study examines how different stakeholder perspectives of innovative IT influence the implementation process, attitudes toward usage, and perceived benefits in mandatory use situations. Using a case study methodology, we explore these issues in the context of a major IT initiative underway at a multbank holding company headquartered in the Midwest. We found that innovative IT applications involve change that is inherently a long-term endeavour requiring transformations of individual skills and organizational processes and practices. Our research suggests that the time lag before realization of performance gains is affected by the implementation process. Our findings have a number of generalizable lessons for practice as well as implications for future research.
- Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS Quarterly: Management Information Systems, 25(1), 71-98.More infoAbstract: While technology adoption in the workplace has been studied extensively, drivers of adoption in homes have been largely overlooked. This paper presents the results of a nation-wide, two-wave, longitudinal investigation of the factors driving personal computer (PC) adoption in American homes. The findings revealed that the decisions driving adoption and non-adoption were significantly different. Adopters were driven by utilitarian outcomes, hedonic outcomes (i.e., fun), and social outcomes (i.e., status) from adoption. Nonadopters, on the other hand, were influenced primarily by rapid changes in technology and the consequent fear of obsolescence. A second wave of data collection conducted six months after the initial survey indicated an asymmetrical relationship between intent and behavior, with those who did not intend to adopt a PC following more closely with their intent than those who intended to adopt one. We present important implications for research on adoption of technologies in homes and the workplace, and also discuss challenges facing the PC industry.
- Vician, C., & Brown, S. A. (2001). Re-engineering participation through on-line learning environments: An examination of communication apprehension, choice, and performance. Journal of Computer Information Systems, 42(1), 26-35.More infoAbstract: Learning environments designed with web, computer-mediated communication, or other on-line technologies promise to enhance the individual's learning experience through additional participation opportunities available with these technologies. However, the enhanced learning experience is not guaranteed, as each learner's predisposition to the communication venue will influence how readily the learner engages in the learning experience. This paper describes our early experience in designing on-line participation opportunities that take into account an individual learner's predisposition toward communication activities. Results indicate that an individual's communication apprehensiveness can have a deleterious effect upon one's learning experience. Implications for the deployment of on-line tools within higher education scenarios are discussed.
- Vician, C., & Brown, S. A. (2000). Unraveling the message quilt: A case-study examination of student interaction in computer-based communication assignments. Computers and Composition, 17(2), 211-229.More infoAbstract: Student interaction and computer-based communication tool usage patterns were examined in two courses that required active use of computer-based communication tools. University students completed a set of communication assignments with either the instructor or other students as the primary audience. Case analyses developed from interviews, interaction coding, and qualitative analysis compare the communication content, the communication exchange format, and the timing of the communicative interaction of these student assignments. The results show that content focused on substantive course material, the exchange format closely mirrored the assignments, and a significant proportion of the communication took place outside of the "normal" 8 a.m. to 5 p.m. timeframe. These results suggest that instructors must carefully consider the outcomes they desire from the technology to be sure that assignments will lead to those outcomes. Additionally, the results indicate that students do use the technology at varying times, resulting in an expanded classroom space. © 2000 Elsevier Science Inc.
- Agarwal, R., Brown, S., & Tanniru, M. (1994). Assessing the impact of expert systems: The experiences of a small firm. Expert Systems With Applications, 7(2), 249-257.More infoAbstract: The impacts of information processing technologies have been the subject of considerable debate for some time now. Several alternate views to assessing impacts have been proposed, predominantly in the context of management information and decision support systems. In the case of expert systems technology, the few systems described in the literature have primarily been deployed in large firms with significant resource outlays. This article details the significant impact of expert systems technology on a small firm-a regional credit union. Employing an assessment framework that examines the effects of information technology at the level of both product and process, impact is assessed along two orthogonal dimensions of breadth (local and global effects) and depth (direct and induced effects). Furthermore, the framework suggests how a longitudinal evaluation that allows for a consideration of both system impact and potential obsolescence may be conducted. Although the framework is used here to assess the impact of a specific application, it has broader applicability to other types of systems as well. © 1994.
- Hymer, C., Brown, S. A., & Thatcher, S. M. (2021, January). Perceptions of Virtual Team Communication Effectiveness: The Role of Team Member Identity Motives and Media Characteristics. In Hawaiian International Conference on Systems Sciences (HICSS).
- Suntwal, S., Brown, S. A., & Brandimarte, L. (2021, January). Pictographs, Ideograms, and Emojis (PIE): A Framework for Empirical Research Using Non-verbal Cues. In Hawaiian International Conference on Systems Sciences (HICSS).
- Shao, Z., Zhang, L., Brown, S. A., & Zhang, R. (2020, Summer). Influences of Structural Assurances on Continuance Intention towards the Blockchain-based Online Healthcare Mutual Aid Platform. In Pacific Asian Conference on Information Systems (PACIS), PACIS 2020 Proceedings. 237.https://aisel.aisnet.org/pacis2020/237.
- Suntwal, S., Brown, S. A., & Patton, M. W. (2020, January). How Does Information Spread? An Exploratory Study of True and Fake News. In Hawaiian International Conference on Systems Sciences (HICSS).
- Zhang, L., Shao, Z., Zhao, T., & Brown, S. A. (2020, Summer). The Role of Mobile Social Application in Stimulating Learning Stickiness in Blended Learning. In Pacific Asia Conference on Information Systems (PACIS), PACIS 2020 Proceedings. 235. https://aisel.aisnet.org/pacis2020/235.
- Brown, S. A., Moraes, H., Sanchez, O. P., & Zhang, B. (2019, December). Trust and Distrust in Big Data Recommendation Agents. In International Conference on Information Systems (ICIS).
- Terlizzi, M., Brandimarte, L., Brown, S. A., & Sanchez, O. (2019, Summer). Privacy concerns and protection motivation theory in the context of mobile banking. In 27th European Conference on Information Systems.
- Tourinho, A., Sanchez, O., & Brown, S. A. (2019, December). Measuring the Organizational Analytical Competence: Development of a Scale. In 27th European Conference on Information Systems.
- Thatcher, S. M., Wilson, D. W., & Brown, S. A. (2017, January). (Virtual) Identity Communication: Motivations and Contextual Factors. In 50th Hawaii International Conference on System Sciences.
- Brown, S. A., Thatcher, S. M., & Wilson, D. W. (2016, January). Measurement and Outcomes of Identity Communication in Virtual Teams. In 49th Hawaii International Conference on System Sciences, 888-897.
- Tomaselli, F. C., Sanchez, O., & Brown, S. A. (2015, December). How to Engage Users Through Gamification: The Prevalent Effects of Playing and Mastering over Competing. In International Conference on Information Systems, IT Implementation Paper 10.
- Wilson, D. W., Brown, S. A., Thatcher, S. M., & Harris, S. (2015, August). Identity Communication in Virtual Teams: Insights from Interviews with Working Professionals. In Americas Conference on Information Systems, Virtual Communities and Collaboration Paper 5.
- Wilson, D., Brown, S. A., & Thatcher, S. M. (2015, summer). Examining predictors and outcomes of identity communication in virtual teams. In European Conference on Information Systems.
- Wilson, D., Thatcher, S. M., & Brown, S. A. (2015, January). Media Capabilities that Support Identity Communication in Virtual Teams. In 48th Hawaiian International Conference on Systems Sciences, 702-711.
- Chen, Y., & Brown, S. A. (2012, January). The structuration of task-oriented communication in innovative virtual teams. In International Conference on Information Systems, ICIS 2012, 5, 4531-4539.More infoAbstract: With advanced communication technologies, business managers can globally recruit talented members to form virtual teams and collaborate on innovative projects. While virtual teams enjoy superiority in their composition of talents, they also face more collaborative issues resulting from the diversity of members' backgrounds and the limitations of communication technologies. These issues include task conflict, coordination delays, and reduced consensus in group discussions. Formal task interventions, such as imposed temporal coordination mechanisms, have been suggested to mitigate the severity of these collaborative issues in virtual teams. In this study, we aim to investigate the underlying mechanisms through which task interventions compensate the limitations of communication technologies and facilitate the exchange of individuals' perspectives. By adopting the lens of structuration theory and focusing on task-oriented communication, we identify three patterns of taskoriented communication that are essential to the function of innovative virtual teams - the degree to which task-related issues are explored, the level of concern raising or attention switches, and the level of convergence on a common task view - as well as the structural properties of the team-task environment that influence the development of task-oriented communication. We hypothesize that task interventions establish or modify these structural properties of the team-task environment, which in turn shape virtual teams' communication patterns. This study can provide a better understanding of how virtual teams learn to coordinate their task work more effectively by initiating task interventions. The insights gained in this study can suggest the management support that an organization can offer to facilitate the communication of its virtual teams. © 2012 by the AIS/ICIS Administrative Office All rights reserved.
- Brown, S. A., & Thatcher, S. (2011, January). Factors influencing adoption and non-adoption of cyberinfrastructure by the research community. In PACIS 2011 - 15th Pacific Asia Conference on Information Systems: Quality Research in Pacific.More infoAbstract: Technology adoption has received a great deal of research attention in information systems. While the results are quite consistent in workplace settings, only limited attention has been paid to assessing the conditions - e.g., adopters, context - that influence relationships in existing models. Cyberinfrastructure - integrated computing, storage, and collaborative infrastructure - represents an underexplored technology. Likewise, the adopters of this technology, i.e., researchers, represent an underexplored audience for technology adoption. In order to understand the factors influencing adoption of this technology by these users, we employ an open-ended interview among members of a scientific research community. The goal of the interview is to elicit researchers' beliefs in order to understand the reasons they do and do not choose to participate in cyberinfrastructure projects. The focus of this research is one particular cyberinfrastructure known as the iPlant Collaborative. The results of this research-in-progress will contribute to the literature on technology adoption and provide valuable guidance for research institutes and governments that fund large-scale cyberinfrastructure projects to support multi-disciplinary collaborative research.
- Giboney, J. S., Brown, S. A., & Nunamaker Jr., J. F. (2012, January). User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit - Research in progress. In 45th Hawaiian International Conference on System Sciences.More infoAbstract: Knowledge-based systems (KBS) can potentially enhance individual decision making. Yet, recommendations from these systems continue to be met with resistance. This is particularly troubling in professions associated with deception detection (e.g., border control), where humans are accurate only about half the time. In this research-in-progress, we examine how the fit between KBS explanations and users' internal explanations influences acceptance of system recommendations. To describe the explanations, we rely on Toulmin's argument classifications. We leverage cognitive fit theory as the theoretical explanation as to why fit is important for user acceptance of the system's evaluation. We describe a two-phased research approach in which we first develop the arguments, evaluate their relative strength, and validate their fit with key argument types. This is followed by a description of an experiment in which we examine the processing of explanations provided by KBS, focusing on explanations in a credibility assessment task. © 2012 IEEE.
- Brown, S. A., Thatcher, S., & Dang, Y. (2010, January). Managing knowledge in a changing scientific landscape: The impact of cyberinfrastructure. In Proceedings of the 43rd Hawaii International Conference on System Sciences.More infoAbstract: Motivating employees to share knowledge has been an ongoing challenge for organizations. In contrast, scientific and academic organizations have built reward systems around knowledge sharing. With the implementation of information and communication technologies and large-scale cyberinfrastructure initiatives, the nature of scientific knowledge sharing is evolving. Technology enables rapid dissemination of knowledge, yet institutions continue to build reward systems based on old models. The current paper describes research-in-progress to examine the skills, cultural shifts, and mindset changes necessary to capitalize on cyberinfrastructure for sharing scientific knowledge. Open-ended interview questions will be used to uncover the factors that are uniquely important in scientific knowledge sharing. While the research is focused on plant scientists who are involved with the iPlant collaborative, an NSF-funded project to build cyberinfrastructure to support research in the plant sciences, the results should be broadly applicable to large-scale technology-enabled science. © 2010 IEEE.
- Brown, S. A., Thatcher, S., & Dang, Y. (2010, January). The evolving influence of diversity and media in virtual organizations. In 16th Americas Conference on Information Systems 2010, AMCIS 2010, 2, 1091-1099.More infoAbstract: Virtual organizations are important to enable collaboration and enhance interaction among a diverse set of people regardless of their temporal and spatial dispersion. Some research has assumed that communication media will mask traditional elements of diversity while other research suggests mediated teams simply pay attention to different cues. The relationships among the media, team member diversity (broadly defined) and outcomes have not been examined. This research in progress seeks to understand how various components of diversity enhance, inhibit, or are overcome in virtual organizations. The goal of this study is to understand how virtual organizations evolve over time, with a particular eye toward understanding the role of diversity in this process, thus enabling us to identify the conditions under which virtual organizations will be successful. Guided by social change, diversity, attribution, and media theories, we propose a theoretical framework with a set of research questions and hypotheses.
- Zhang, X., Venkatesh, V., & Brown, S. A. (2010, January). Designing collaborative systems for better knowledge management and team performance. In Proceedings of the 43rd Hawaii International Conference on System Sciences.More infoAbstract: Collaborative technologies have been widely used to support teams to function effectively in today's competitive business environment. However, the impacts of collaborative technologies on team performance were inconclusive in prior research. This paper seeks to understand the mediational mechanisms that transmit the effect of collaborative technologies to team performance. Specifically, we theorize the relationships between: (a) design features and knowledge contextualization; and (b) knowledge contextualization and a team's ability to collaborate, i.e., collaboration know-how development, and assimilating knowledge, i.e., absorptive capacity, both of which are expected to influence team performance. We conducted a field study and collected data from nearly 1,900 team members (190 software project teams) in an organization and the results indicated support for our theoretical model. We discuss theoretical and practical implications of our findings. © 2010 IEEE.
- Durcikova, A., & Brown, S. A. (2007, January). Influence of system, environment, and procedures on knowledge submission frequency. In Proceedings of the 40th Hawaii International Conference on System Sciences.More infoAbstract: Organizations continue to struggle with encouraging employees to participate in knowledge management initiatives. Research is replete with examples of organizations that implemented knowledge management systems in order to find them under utilized. In this paper, we report the results of a case study conducted to examine the impact of system, environment, and procedures on knowledge submission frequency. Our findings indicate that in the absence of a consistently publicized procedure for knowledge management, system and environmental characteristics (i.e., supervisor relationship) are the most important factors in knowledge submission frequency. However, once the procedures are publicized clearly and repeatedly, system and procedural characteristics are most influential in predicting knowledge submission frequency. © 2007 IEEE.
- Brown, S. A., Dennis, A. R., & Gant, D. B. (2006, January). Understanding the factors influencing the value of person-to-person knowledge sharing. In Proceedings of the 39th Hawaii International Conference on System Sciences, 7, 146b.More infoAbstract: It is generally accepted that knowledge sharing is a difficult task for organizations. Many reasons for this difficulty have been proposed. In this paper, we offer another. Specifically, we build on Zander and Kogut's work  and examine the relationship between knowledge dimensions and knowledge sharing. Departing from their study, we focus on person-to-person, rather than organization-to-organization, knowledge sharing. We surveyed 68 employees of a Workman's Compensation Board in Canada. To analyze the data, we employed Hierarchical Linear Modeling. The results demonstrate that complexity and teachability increased person-to-person knowledge sharing but observability did not. Contrary to expectations, the availability of codified knowledge in a knowledge management system (KMS) had no impact on person-to-person knowledge transfer; individuals were as likely to share knowledge person-to-person regardless of whether there was a KMS available that contained appropriate knowledge. © 2006 IEEE.
- Hasty, B. K., Massey, A. P., & Brown, S. A. (2006, January). Experiences and media perceptions of senders and receivers in knowledge transfer: An exploratory study. In Proceedings of the 39th Hawaii International Conference on System Sciences, 7, 146a.More infoAbstract: Guided by knowledge transfer (KT) literature and Channel Expansion Theory (CET), we explore the relationship between the KT process, role-based experiences and media perceptions in a multiple media environment. The results of our experiment suggest that in an asymmetric KT context, while senders and receivers may have different experiences they still converge in their perceptions of the utility of the available media. Our results provide preliminary evidence that expansion in media richness perceptions are nonlinear and may reach some maximum value over time. Finally, our results provide preliminary evidence that perceptions of the richness of one media may be related to richness perceptions of another media. All this suggests that in a role-oriented asymmetric KT context, experiences may not be of equal importance to perceived expansions of media richness. © 2006 IEEE.
- Zhang, Y., Durcikova, A., & Brown, S. A. (2006, January). Knowledge sourcing: A channel preference perspective. In Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006, 3, 1711-1717.More infoAbstract: Organizations invest in information and communication technology (ICT) such as knowledge repositories and electronic communities of practice to augment traditional means of transferring knowledge, such as via face-to-face interactions with co-located colleagues. These systems make it possible to create a multi-modal knowledge network in which employees have a choice of which channel to use for knowledge transfer. This study investigates the sourcing side of knowledge transfer, and develops hypotheses to assess the degree to which task characteristics, knowledge characteristics and individual characteristics determine the preference for channel selection. This research contributes to theory in knowledge management as it expands our understanding of how various knowledge transfer channels are selected. The research contributes to practice by helping companies understand why employees may or may not be using the various knowledge channels available to them.
- Balaji, S., & Brown, S. A. (2005, January). Strategic IS sourcing and dynamic capabilities: Bridging the gap. In Proceedings of the 38th Hawaii International Conference on System Sciences, 260-.More infoAbstract: Information Systems (IS) sourcing consists of the delegation of all or any part of the technical resources, the human resources, and the management capabilities associated with providing IT services to the external vendor. This can range from insourcing to domestic outsourcing, offshore outsourcing, nearshore outsourcing and any such variants. The sourcing organizations (clients) increasingly look at the capabilities of the vendor as a benchmark for the quality of the service rendered by the vendor. The capability maturity model is one such preferred scale for assessing the capabilities of the vendor. However, such a capability model does not exist for a client which ventures or is about to venture in a sourcing relationship. The purpose of this paper is to isolate the key IS capabilities that a client could develop to succeed in a sourcing relationship. This represents the first step in developing a client sourcing capability model.
- Tanniru, M., Weisband, S., Brown, S., Schatzberg, L., & Thatcher, S. (2004, January). Careers, culture and ethics in a networked environment. In Proceedings of the ACM SIGMIS CPR Conference, iii.
- Massey, A. P., Montoya-Weiss, M. M., & Brown, S. A. (1998, January). Managing technological change when change is mandatory. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 5, 4758-4762.More infoAbstract: The expectation that banks and other service industries will do better through investments in innovative IT applications requires a fundamental understanding that benefits do not stem from technology alone. Innovative IT applications change the way banks conduct their business and, as such, must be viewed as a major organizational change. This study examines how different perspectives of innovative IT influence the implementation process, attitudes toward usage, and perceived benefits in mandatory use situations. Using a case study methodology, we explore these issues in the context of a major IT initiative underway at a multi-bank holding company headquartered in the Midwest.
- Brown, S. A., Dennis, A. R., Samuel, B., Tan, B., Valacich, J. S., & Whitley, E. (2016, December). Replication Research: Opportunities, Experiences, and Challenges (Professional Development Panel). International Conference on Information Systems. Dublin, Ireland.
- Dennis, A. R., Brown, S. A., & Petter, S. (2016, August). Replication Research in Information Systems (Professional Development Symposium). Americas Conferences on Information Systems. San Diego, CA.
- Top, H., Karsten, H., Brown, S. A., Carvalho, J. A., Donnellan, B., Shen, J., Tan, B. C., & Thouin, M. F. (2016, December). Competency-based Approach to Information Systems Program Development: Guidance from the MSIS 2016 Global Competency Model. SIGED Conference. Dublin, Ireland.
- Top, H., Karsten, H., Brown, S. A., Carvalho, J. A., Donnellan, B., Shen, J., Tan, B. C., & Thouin, M. F. (2016, June). MSIS 2016: A Global Effort to Update the Masters Curriculum in Information Systems. Pacific Asia Conference on Information Systems. Chiayi, Taiwan.
- Thatcher, S. M., Brown, S. A., & Wilson, D. (2015, August). Toward a Theory of Virtual Identity Communication. Academy of Management Conference.
- Topi, H., Karsten, H., Brown, S. A., Carvalho, J. A., Donnellan, B., Shen, J., Tan, B. C., & Thouin, M. A. (2015, December). Current MSIS Students’ Views on Program Outcomes. AIS SIGED: IAIM Conference. Fort Worth, Texas.
- Topi, H., Karsten, H., Brown, S. A., Carvalho, J. A., Donnellan, B., Shen, J., Tan, B. C., & Thouin, M. F. (2015, December). Panel: “Revising the MSIS 2016 Model Curriculum: Status Update and Discussion. AIS SIGED: IAIM Conference. Fort Worth, TX.