Kaushik Ghosh, Jiban Khuntia, Sudhir Chawla, Xiaodong Deng
Communications of the Association for Information Systems, Volume 34, Article 22
Although information technology (IT) is often argued to have the potential to enable greater patient participation in healthcare delivery, how IT empow ers patients to take charge of their own health is a less explored area. This study explores how IT-enabled communication plays a significant role in shaping the patients’ psychological empow erment for managing a chronic disease—diabetes. Psychological empow erment reflects a patient’s cognitive
response and motivation to manage the disease. Two dimensions of psychological …
Corey Angst, Ritu Agarwal, Guodong Gordon Gao, Jiban Khuntia, Jeffrey S McCullough
Decision Support Systems, Volume 57, Issue 1, Pp. 367-375
Information asymmetry between consumers and health care providers is a well-known phenomenon in health care systems. Disclosure of health care quality information is one important mechanism through which hospitals can signal performance to potential patients and competitors, yet little is known about the organizational factors that contribute to voluntary disclosure. In this study we develop an empirical model to investigate the factors associated with choosing to participate in a voluntary quality disclosure initiative, specifically isolating the importance of information technology (IT) in facilitating disclosure. We extend the scope of prior work on the quality disclosure choice by augmenting it with an important decision variable: the operational costs of collecting and reporting quality data. We suggest that IT can facilitate disclosure by reducing these costs, thereby extending the literature on the value of IT. Empirical findings using data from a major voluntary quality disclosure program in California hospitals support our assertion related to the role of IT. Our results further highlight other hospital characteristics contributing to disclosure. We discuss implications of these findings for research and practice.
Michael A Erskine, Dawn G Gregg, Jahangir Karimi, and Judy E Scott
Axioms, Vol. 3 Issue 1, December 2013, pp.10-30
Organizations that leverage their increasing volume of geospatial data have the potential to enhance their strategic and organizational decisions. However, literature describing the best techniques to make decisions using geospatial data and the best approaches to take advantage of geospatial data’s unique visualization capabilities is limited. This paper reviews the use of geospatial visualization and its effects on decision performance, which is one of the many components of decision-making when using using geospatial data. Additionally, this paper proposes a comprehensive model allowing researchers to better understand decision-making using geospatial data and provides a robust foundation for future research. Finally, this paper makes an argument for further research of information-presentation, task-characteristics, user-characteristics and their effects on decision-performance when utilizing geospatial data.
Paul P Tallon, Ronald V Ramirez, James E Short
Journal of Management Information Systems,Vol. 30, Issue 3, Pages: 141-178.
In recent years, chief information officers have begun to report exponential increases in the amounts of raw data captured and retained across the organization. Managing extreme amounts of data can be complex and challenging at a time when information is increasingly viewed as a strategic resource. Since the dominant focus of the information technology (IT) governance literature has been on how firms govern physical IT artifacts (hardware, software, networks), the goal of this study is to extend the theory of IT governance by …
Saldanha, Terence J.V.; Melville, Nigel P. Ramirez, Ronald; Richardson, Vernon J.
Journal of Operations Management. Sept. 2013, Vol. 31 Issue 6, p313-329.
Research at the nexus of operations management and information systems suggests that manufacturing plants may benefit from the utilization of information systems for collaborating and transacting with suppliers and customers. The objective of this study is to examine the extent to which value generated by information systems for collaborating versus transacting is contingent upon demand volatility. We analyze a unique dataset assembled from non-public U.S. Census Bureau data of manufacturing plants. Our findings suggest that when faced with volatile demand, plants employing information systems for collaborating with suppliers and customers experience positive and significant benefits to performance, in terms of both labor productivity and inventory turnover. In contrast, results suggest that plants employing information systems for transacting in volatile environments do not experience such benefits. Further exploratory analysis suggests that in the context of demand volatility, these two distinct dimensions of IT-based integration have differing performance implications at different stages of the production process in terms of raw-materials inventory and finished-goods inventory, but not in terms of work-in-process inventory. Taken together, our study contributes to theoretical and managerial understanding of the contingent value of information systems in volatile demand conditions in the supply chain context.
J.P. Hasley and D. Gregg
Journal of Technology Research, (2013) Vol. 5. 53 pages
Hundreds of studies have attempted to define, measure, or otherwise explain how website visitors think, feel, and behave during and after visits to transaction-oriented business-to-consumer retail websites. This article reviews the predominant endpoints described in the peer-reviewed literature over the past decade for user-website interactions with e-tail websites. Results suggest that although scores of user-website interaction outcomes have been reported in the peer-reviewed literature, most of those endpoints represent one of ten high-level user-website interaction outcomes (confirmation/disconfirmation, trust, perceived risk, engagement, purchase intentions, actual purchase behavior, satisfaction, repeat website visit intention or behavior, repeat purchase intention or behavior) either directly or indirectly. This article provides a new information technology systems-based taxonomy for relevant outcomes to define website outcomes, identifies their common characteristics, and summarizes the relationships so far reported in the peer-reviewed literature.
Onook Oh, Manish Agrawal, H Raghav Rao
Mis Quarterly,Vol. 37, Issue 2,
Social media services and consumer computing devices are rapidly changing the way we are creating, distributing, and sharing emergency information during social crises (Palen et al. 2010; Palen et al. 2009; Shklovski et al. 2010; Shklovski et al. 2008; Starbird and Palen 2010). During large-scale crises (eg, natural disasters and terrorist attacks), it has become the norm that the incident is initially reported by a local eyewitness with a mobile communication device, the report is rapidly distributed through social media services, and …
Jae H. Choi and Judy E. Scott
Journal of theoretical and applied electronic commerce research, VOL 8 / ISSUE 1 / APRIL 2013
Social network sites (SNSs) have attracted millions of users who interact with each other and with companies. However, few studies have examined the impact of knowledge sharing through electronic word of mouth (eWOM) in the context of SNSs. This paper investigates the relationship among the use of SNSs, users’ social capital, knowledge sharing, and eWOM. The results show that the intensity of use of SNSs is positively related to trust and identification which have a positive effect on eWOM quality. In addition, eWOM quality has a positive effect on knowledge sharing. Female users feel more strongly about eWOM quality when they trust others, or when they perceive that they belong to their SNS community when they use their SNS. Furthermore, female users feel more strongly about knowledge sharing when they perceive that eWOM quality is good. This study provides the theoretical framework of the relationship between eWOM and knowledge sharing on SNSs from the perspective of social capital. Practitioners could use this study as a rationale to utilize SNSs internally for organizational use, and externally for marketing purposes.
Chorng-Guang Wu, James H Gerlach, Clifford E Young
Open Source Software Dynamics, Processes, and Applications, pp. 231-259
This study differs from previous studies on open source software (OSS) developer motivation by drawing upon theories of volunteerism and work motivation to investigate the motives and attitudes of OSS volunteer developers. The role of commitment is specifically interesting, which is well established in the volunteerism and work motivation literature as a predictor of turnover and positively related to work performance, but has been overlooked by OSS researchers. The authors have developed a research model relating …
Chorng–Guang Wu, James H. Gerlach, Clifford E. Young
International Journal of Information and Decision Sciences, Vol 5 No. 2/2013
This study explores the relationships between open source software (OSS) volunteer developers’ motivations, commitment to the OSS community and effort spent on OSS development. The study considers multiple extrinsic and intrinsic motivations that are expected to influence developer effort, and also measures the extent to which developers commit themselves to the OSS community, which in turn is expected to cause them to exert effort on behalf of OSS projects. The model is empirically tested using a field survey of OSS volunteers. The results show that the major motivational forces driving OSS volunteer developers’ effort are helping others (intrinsic motivator), fun for coding (intrinsic motivator) and peer recognition (extrinsic motivator), while developer commitment has a direct and significant effect on their effort decisions. Findings also suggest that time availability moderates the relationship between commitment and effort.
Brandon Beemer and Dawn G. Gregg
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 3(1), January 2013, pp. 74-84.
The evolution of eCommerce over the past decade has resulted in a wide range of tools that enable consumers to make better decisions about the products or services that they are purchasing. One class of tools that are now widely used in a variety of eCommerce domains are mashups, which combine disparate sources of information (e.g. price, product reviews, seller reviews) to support buyer decision making. Previous academic studies examining decision support tools for eCommerce domains have focused on how these tools affect information search, consideration set size, and the impact on the quality of the decision made. This paper discusses dynamic interaction, the degree to which a user can revisit and revise their inputs and consider alternative solutions during a decision. The effects of dynamic interaction on confidence and intention was investigated in an experiment, the results of which indicated that increasing dynamic interaction increased the perceived diagnosticity (i.e., the extent to which the user believes the tool is useful to evaluate a product) of the mashup and the overall confidence in the decision. In addition, a post-hoc analysis of decision quality suggests that increased levels of dynamic interaction also improve the overall quality of the decision made.
Gregory D Saxton, Onook Oh, Rajiv Kishore
Information Systems Management,Vol. 30, Issue 1, Pages: 2-20.
In this article, the authors first provide a practical yet rigorous definition of crowdsourcing that incorporates “crowds,” outsourcing, and social web technologies. They then analyze 103 well-known crowdsourcing web sites using content analysis methods and the hermeneutic reading principle. Based on their analysis, they develop a “taxonomic theory” of crowdsourcing by organizing the empirical variants in nine distinct forms of crowdsourcing models. They also discuss key issues and directions, concentrating on the notion of …
Yanjuan Yang and Michael V. Mannino
Decision Support Systems, Vol 53 Issue 3, June, 2012, Pages 543-553
To develop a data mining approach for a deception application, data collection costs can be prohibitive because both deceptive data and truthful data are necessary to be collected. To reduce data collection costs, artificially generated deception data can be used, but the impact of using artificially generated deception data is not well understood. To study the relationship between artificial and real deception, this paper presents an experimental comparison using a novel deception generation model. The deception and truth data were collected from financial aid applications, a document centric area with limited resources for verification. The data collection provided a unique data set containing truth, natural deception, and boosted deception. To simulate deception, the Application Deception Model was developed to generate artificial deception in different deception scenarios. To study differences between artificial and real deception, an experiment was performed using deception level and data generation method as factors and directed distance and outlier score as outcome variables. Our results provided evidence of a reasonable similarity between artificial and real deception, suggesting the possibility of using artificially generated deception to reduce the costs associated with obtaining training data.
Brickey, J.; Walczak, S.; and Burgess, T.
IEEE Transactions on Software Engineering, Vol 38 , Issue: 3, Page(s): 537 – 546
Current and future information systems require a better understanding of the interactions between users and systems in order to improve system use, and ultimately, success. The use of personas as design tools is becoming more widespread as researchers and practitioners discover its benefits. This paper presents an empirical study comparing the performance of existing qualitative and quantitative clustering techniques for the task of identifying personas and grouping system users into those personas. A method based on Factor (Principal Components) Analysis performs better than two other methods which use Latent Semantic Analysis and Cluster Analysis as measured by similarity to expert manually defined clusters.
Landon Kleis, Paul Chwelos, Ronald V. Ramirez, and Iain Cockburn
Information Systems Research, Vol. 23 Issue 1, March 2012, pp. 42–59
Prior research concerning IT business value has established a link between firm-level IT investment and tangible returns like output productivity. Research also suggests that IT is vital to intermediate processes like those that produce intangible output. Among these, IT’s use in innovation and knowledge creation processes are perhaps the most critical to a firm’s long-term success. However, little is known about the relationship between IT, knowledge creation, and innovation output. In this study, we contribute to the literature by comprehensively examining IT’s contribution to innovation production across multiple contexts, using a quality-based measure of innovation output. Analyzing a panel of large U.S. manufacturing firms between 1987 and 1997, we find a 10% increase in IT input is associated with a 1.7% increase in innovation output for a given level of innovation-related spending. This relationship
between IT, R&D and innovation production is robust across multiple econometric methodologies and found to be particularly strong in the mid to late 1990s, a period of rapid technological innovation. Our results also demonstrate the importance of IT in creating value at an intermediate stage of production, in this case, through improved innovation productivity. However, R&D and its related intangible factors (skill, knowledge, etc.) appear to play a more crucial role in the creation of breakthrough innovations.
Advances in Artificial Neural Systems, January 2012, # 1
Artificial neural network (ANN) modeling methods are becoming more widely used as both a research and application paradigm across a much wider variety of business, medical, engineering, and social science disciplines. The combination or triangulation of ANN methods with more traditional methods can facilitate the development of high-quality research models and also improve output performance for real world applications. Prior methodological triangulation that utilizes ANNs is reviewed and a new triangulation of ANNs with structural equation modeling and cluster analysis for predicting an individual’s computer self-efficacy (CSE) is shown to empirically analyze the effect of methodological triangulation, at least for this specific information systems research case. A new construct, engagement, is identified as a necessary component of CSE models and the subsequent triangulated ANN models are able to achieve an 84% CSE group prediction accuracy.
K Hazel Kwon, Onook Oh, Manish Agrawal, H Raghav Rao
AIS Transactions on Human-Computer Interaction,Vol. 4, Issue 4, Pages: 212-229.
Twitter is a social news service in which information is selected and distributed by individual members of the tweet audience. While communication literature has studied traditional news media and the propagation of information, to our knowledge there have been no studies of the new social media and their impacts on the propagation of news during extreme event situations. This exploration attempts to build an understanding of how preexisting hyperlink structures on the Web and different types of information channels …
Michael V Mannino, Elizabeth S Cooperman
Journal of Pension Economics & Finance,Vol. 10, Issue 3, Pages: 457-483.
This study uses a unique data set of retiree characteristics and salary histories for administrators, teachers, and non-professional employees of the Denver Public School Retirement System (DPSRS) to analyze surplus deferred compensation for DPSRS and four state K-12 defined benefit pension plans. We find sizable levels of surplus deferred compensation for each plan, with significant differences across plans, job classes, and age groups. Across plans, differences in cost of living allowances impact the expected present …
Christopher Sibona, Steven Walczak, Jon Brickey, and Madhavan Parthasarathy
International Journal of Healthcare Technology and Management, Vol. 12, Number 1, Pages 62-84
Physicians are adopting electronic medical records in much greater numbers today and are escalating the rate of adoption. The American Recovery and Reinvestment Act of 2009 provides incentives for physicians to adopt this technology. The objectives of this paper are to determine whether patient satisfaction is affected by computer use in the exam room and whether patients who have experienced computers in the exam room perceive differences in the utility of electronic medical records. Physicians received higher overall satisfaction scores when a computer was used to retrieve patient information. Physicians received similar satisfaction scores when a computer was used to enter patient information. Patients who have experienced electronic medical records perceive benefits such as increased portability of the record but do not believe that physicians who use electronic medical records produce better health outcomes. Patients who have experienced electronic medical records do not desire more control over their record than those who have traditional medical records.
Joseph Hasley and Dawn G. Gregg
Journal of Theoretical and Applied Electronic Commerce Research, December 2010, 5(3), pp. 27-38.
This study describes and demonstrates the Website Information Content Survey (WICS), which is intended to provide practitioners and researchers with a means of systematically describing website information content. In an exploratory survey of twenty business-to-consumer websites across five e-commerce domains, we demonstrate how the survey can be used to make cross-website comparisons that can identify potential gaps in a website’s information content. The results of this study offer actionable guidance to practitioners seeking to match their website’s information mix to customer’s demands for product, company, and channel information. The WICS tool enables future investigation of hypothesized relationships between website information content and user-website interaction outcomes