Susan A. Brown

ORCID: 0000-0002-9484-4428
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About
Contact & Profiles
Research Areas
  • Technology Adoption and User Behaviour
  • Knowledge Management and Sharing
  • Digital Marketing and Social Media
  • Team Dynamics and Performance
  • Big Data and Business Intelligence
  • Customer Service Quality and Loyalty
  • Information Systems Theories and Implementation
  • Information Technology Governance and Strategy
  • E-Government and Public Services
  • Mathematics Education and Teaching Techniques
  • Information and Cyber Security
  • Innovation and Knowledge Management
  • Information Systems Education and Curriculum Development
  • Misinformation and Its Impacts
  • Innovative Teaching and Learning Methods
  • Collaboration in agile enterprises
  • Digital Platforms and Economics
  • Scientific Computing and Data Management
  • Online and Blended Learning
  • Ethics and Social Impacts of AI
  • Digital Communication and Language
  • Impact of Technology on Adolescents
  • Higher Education Learning Practices
  • Semantic Web and Ontologies
  • Spam and Phishing Detection

University of Arizona
2015-2025

University of Houston
2021

University of Manchester
2009-2018

Fermi Research Alliance
2017

University of Houston - Clear Lake
1984-2017

Indiana University
1997-2016

AID Atlanta
2016

University of South Carolina
2016

University of Tennessee at Knoxville
2016

University of Oklahoma
2015

Mixed methods research is an approach that combines quantitative and qualitative in the same inquiry. Such work can help develop rich insights into various phenomena of interest cannot be fully understood using only a quant

10.25300/misq/2013/37.1.02 article EN MIS Quarterly 2013-01-01

Individual adoption of technology has been studied extensively in the workplace. Far less attention paid to household. In this paper, we performed first quantitative test recently developed model households (MATH). Further, proposed and tested a theoretical extension MATH by arguing that key demographic characteristics vary across different life cycle stages would play moderating roles. Survey responses were collected from 746 U.S. had not yet adopted personal computer. The results showed...

10.2307/25148690 article EN MIS Quarterly 2005-01-01

While technology adoption in the workplace has been studied extensively, drivers of homes have largely overlooked.This paper presents results a nation-wide, two-wave, longitudinal investigation factors driving personal computer (PC) American homes.The findings revealed that decisions and non-adoption were significantly different.Adopters driven by utilitarian outcomes, hedonic outcomes (i.e., fun), social 1 Allen Lee was accepting senior editor for this paper.outcomes status) from...

10.2307/3250959 article EN MIS Quarterly 2001-03-01

Employees' underutilization of new information systems undermines organizations' efforts to gain benefits from such systems. The two main predictors individual-level system use in prior research-behavioral intention and facilitating conditions-have limitations that we discuss. We introduce behavioral expectation as a predictor addresses some the key provides better understanding use. System is examined terms three conceptualizations: duration, frequency, intensity. develop model employs...

10.2307/25148853 article EN MIS Quarterly 2008-01-01

This study presents two extensions to the two-stage expectation-confirmation theory of information systems (IS) continuance. First, we expand belief set from perceived usefulness in original IS continuance model include three additional predictors identified unified acceptance and use technology, namely effort expectancy, social influence facilitating conditions. Second, ground context transactional that involve transmission personal sensitive trust as a key contextual model. To test...

10.1111/j.1365-2575.2011.00373.x article EN Information Systems Journal 2011-06-30

The paper presents a model integrating theories from collaboration research (i.e., social presence theory, channel expansion and the task closure model) with recent theory technology adoption unified of acceptance use technology, abbreviated to UTAUT) explain technology. We theorize that characteristics, individual group situational characteristics are predictors performance expectancy, effort influence, facilitating conditions in UTAUT. further UTAUT constructs, concert gender, age,...

10.2753/mis0742-1222270201 article EN Journal of Management Information Systems 2010-10-01

In this paper, we extend the guidelines of Venkatesh et al. (2013) for mixed-methods research by identifying and integrating variations in research. By considering 14 properties (e.g., purposes, questions, epistemological assumptions), our demonstrate how researchers can flexibly identify existing proceed accordingly with a study design that suits their needs. To make actionable various situations issues could encounter, develop decision tree to map flow relationship among strategies. We...

10.17705/1jais.00433 article EN Journal of the Association for Information Systems 2016-08-01

While technology adoption is a major stream of research in information systems, few studies have examined the antecedents and consequences mandatory technologies. To address this gap, we develop test model citizen an e-government technology. Based on framework that outlines key stages associated with launch products, identify various external factors as four variables from unified theory acceptance use (UTAUT), i.e., performance expectancy, effort social influence, facilitating conditions,...

10.17705/1jais.00239 article EN Journal of the Association for Information Systems 2010-10-01

Research on information technology (IT) adoption and use, one of the most mature streams research in science systems literature, is primarily based intentionality framework. Behavioral intention (BI) to use an IT considered sole proximal determinant use. Recently, researchers have discussed limitations BI argued that behavioral expectation (BE) would be a better predictor However, without theoretical empirical understanding determinants BE, we remain limited our comprehension what factors...

10.1002/asi.23699 article EN Journal of the Association for Information Science and Technology 2016-06-03

10.1016/j.obhdp.2006.09.008 article EN Organizational Behavior and Human Decision Processes 2007-10-31

We propose a model to study expectation confirmation in information systems. The proposed is based on the assimilation-contrast and prospect theory, suggests that both are needed account for magnitude direction of deviations between experiences expectations. Using technology acceptance model's (TAM) primary construct—namely, perceived usefulness—expectations were conceptualized operationalized test our model. Data collected field from 1,113 participants at two points time. polynomial...

10.1287/isre.1110.0357 article EN Information Systems Research 2011-06-17

Expectation confirmation research in general, and information systems (IS) particular, has produced conflicting results. In this paper, we discuss six different models of expectation confirmation: assimilation, contrast, generalized negativity, as

10.25300/misq/2014/38.3.05 article EN MIS Quarterly 2014-01-01

10.1016/j.iheduc.2011.04.003 article EN The Internet and Higher Education 2011-05-11

Drawing on expectation confirmation research, we develop hypotheses regarding the effect of compensation key customer outcomes following a major data breach and consequent service recovery effort. Data were collected in longitudinal field study S

10.25300/misq/2017/41.3.03 article EN MIS Quarterly 2017-03-03

This study integrates the literature on computer anxiety and communication apprehension to determine their joint impact upon individual attitudes toward using use of mediated (CMC). We introduce application-specific CMC anxiety, defined as an individual' s level fear or associated with actual anticipated information technology communicate others. Furthermore, we advance a new nomological structure that positions proximal mediating construct between more general constructs apprehension,...

10.17705/1jais.00046 article EN Journal of the Association for Information Systems 2004-02-01

Abstract This article examines the determinants of service quality and continuance intention online services. We proposed empirically tested a model with both technology characteristics as main drivers subsequent eTax, an electronic government (eGovernment) that enables citizens to file their taxes online. Our data were collected via two‐stage longitudinal survey 518 participants before after they made use eTax in Hong Kong. The results showed (i.e., security convenience) one perceived...

10.1002/asi.20956 article EN Journal of the American Society for Information Science and Technology 2008-10-16

Recently, the model of adoption technology in households (MATH) was developed and tested context household personal computer (PC) adoption. In this study, we apply MATH to predict use. We conducted a nationwide survey including 370 that owned at least one PC. Results indicate attitudinal beliefs are extremely important determining use PC household. contrast previous work examining adopters, normative control were not significant predicting Furthermore, several determinants different stages...

10.1080/01972240600791333 article EN The Information Society 2006-06-10

Research has examined the role of technology in instruction and corporate training for over three decades. Advances communication computing technologies, coupled with wide availability Internet, have spurred additional interest technology-mediated distance education programs. Yet, it is important to realize that can both enhance hinder education. In this paper, we report results a field study conducted understand how particular set individual characteristics, anxiety associated computers...

10.1080/08874417.2006.11645917 article EN Journal of Computer Information Systems 2006-06-01

Abstract This research examines the relationship between service design and citizen satisfaction with e‐government services. Based on a multidimensional conceptualization of service, we define three key perceptions, each comprising different characteristics, that jointly influence perceived quality The perceptions their corresponding characteristics are: (1) core service—accuracy, completeness, self‐service capability, convenience; (2) facilitating services—accessibility, privacy protection,...

10.1111/puar.13308 article EN cc-by-nc-nd Public Administration Review 2020-10-24

1. Negation phenomena in Russian 2. The minimalist program 3. Negative constituents 4. genitive of negation: Expletiveness and the asymmetry negation 5. expression References Index.

10.2307/3086315 article EN The Slavic and East European Journal 2000-01-01
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