Michael Erskine, Dawn Gregg, and Jahan Karimi
Journal of Computer Information Systems, Volume 56, Issue 2, pp. 175-184
Online mapping services, such as Google Maps and Bing Maps have become increasingly popular. In addition to providing map, navigation and directory information, such services provide third-party applications with a framework including geospatial-visualization capabilities. For instance, consumers often use location-based services (LBS) and spatial decision support systems (SDSS) to locate the nearest restaurants, search for ideal homes, navigate specific routes and effectively participate in car and bike sharing programs. Organizations utilize SDSS to perform retail site selection, manage global assets and to optimize supply chains. While geospatial visualization is a vital capability of online mapping services, little is understood about how it impacts the acceptance of technology. Through a partial least squares analysis of 577 subject responses, this paper demonstrates that the user-acceptance of geospatial-visualization is influenced by utilitarian, hedonic and cognitive measures. This paper concludes with a discussion of the implications of these results to research and practice.
Jiban Khuntia, Mohan Tanniru, Fabian Fregoli, Matthew Nawrocki
Pacific Asia Journal of the Association for Information Systems, Volume 8, Issue 1, Pp. 333-64
The nurse call system is the lifeline for a patient in a hospital room. Nurse call systems help patients initiate calls from their room in a hospital, and the response to these calls is a crucial factor in providing timely quality care and improving patient satisfaction. Two questions arise in relation to response time. Are there differences in the response to patient calls in different hospital units? Does an IT-enabled escalation of calls to ensure care quality improve the call response efficiency and effectiveness? In this study, we explore these two research questions. We argue that differences in call response time are influenced by two operational attributes of care units: velocity and uncertainty. These attributes will determine how nursing staff view both the need and urgency associated with calls and respond to them. Internet discussion forums at allnurses.com (secondary data analysis) are used to answer the first question. The analysis validates a 2 × 2 framework, which maps four different hospital units on velocity and uncertainty dimensions. A quantitative approach is then used to address the second question by analyzing the response time differences to patient calls by different hospital units when an IT-based escalation protocol is used. Data from 1,131 patient rooms provides evidence of response time differences in different units, each with a varying degree of velocity and uncertainty. We then discuss the implications of this research for future studies on patient satisfaction using a single metric such as nurse call response time.
Jiban Khuntia, Mohan Tanniru, Jack Weiner
Health Policy and Technology, Volume 4, Issue 4, Pp. 364-377
Policy mandates and business benefits are propelling hospitals to implement several decision support systems that can help nurses to aid in clinical care decisions. These systems can plausibly reduce errors and provide care by offering real-time alerts about possible adverse reactions. But nurses often suffer “alert fatigue” caused by excessive numbers of warnings within the hospital while providing care. As a result, they may pay less attention to or even ignore some vital alerts, thus limiting these systems׳ effectiveness. In this study, we explore how implementation of an intelligent care system in a hospital with the objective of implementing several decision support systems inadvertently led to a set of alert fatigues. Our analysis of fatigue related technostress suggests a change in management strategy that involves synchronization of people, technology and policies, and is in support of patient care.
Jehad Imlawi, Dawn G. Gregg, and Jahan Karimi
Computers & Education, Vol. 88, pp. 84-96
Social network sites provide the opportunity for building and maintaining online social network groups around a specific interest. Despite the increasing use of social networks in higher education, little previous research has studied their impacts on student’s engagement and on their perceived educational outcomes. This research investigates the impact of instructors’ self-disclosure and use of humor via course-based social networks as well as their credibility, and the moderating impact of time spent in these course-based social networks, on the students’ engagement in course-based social networks. The research provides a theoretical viewpoint, supported by empirical evidence, on the impact of students’ engagement in course-based social networks on their perceived educational outcomes. The findings suggest that instructors who create course-based online social networks to communicate with their students can increase their engagement, motivation, and satisfaction. We conclude the paper by suggesting the theoretical implications for the study and by providing strategies for instructors to adjust their activities in order to succeed in improving their students’ engagement and educational outcomes.
Dobin Yim, Jiban Khuntia, Young Argyris
International Journal of Healthcare Information Systems and Informatics (IJHISI), Volume 10, Issue 3, Pp. 63-84
Online health infomediaries have the objective of knowledge exchange between participants. Visitor contribution is an important factor for the success of the infomediaries. Providers engaged with infomediaries need visitor identification for reputational incentives. However, identification or classification of visitors in online health infomediaries is sparse in literature. This study proposes two dimensions of participation, the intention and intensity levels of visitors, to conceptualize four user categories: community supporters, experiencer providers, knowledge questors, and expertise contributors. The authors validate these categories using a unique large data set collected from a health infomediary for cosmetic surgery, and consisting of 162,598 observed activities of 44,350 visitors, at different participation levels in the year 2012-13. They use cluster analysis to describe similarities and differences among the four user categories. Practice implications are discussed.
Michael A Erskine, Dawn G Gregg, Jahangir Karimi, and Judy E Scott
International Journal of Human-Computer Interaction, Volume 31 Issue 6 , pp 402-412.
An understanding of geospatial reasoning ability (GRA) is essential to human-computer interaction research, as many recent consumer and commercial technologies require an ability to interpret complex geospatial data. Individuals, as well as government, commercial and military organizations, use such technologies regularly. For instance, consumer technologies including online mapping services and in-vehicle navigation systems are increasingly prevalent. Business leaders rely on geospatial data when making decisions using geospatial data, there is conflicting evidence on the impact of GRA on the decision-making process. This paper suggests applying a multi-dimensional measure of GRA to facilitate a better understanding of such interactions. Furthermore, this paper proposes a new measurement instrument developed through a rigorous scale development procedure and validated through an exploratory (n=300) analysis.
Jiban Khuntia, Mohan Tanniru, John Zervos
International Journal of E-Business Research (IJEBR), Volume 11 Issue 2, Pp. 1-17
In healthcare settings knowledge exchange among important stakeholders such as doctors, family and patients, and other care providers is a critical imperative. However, such a community modelled approach is missing, limited in scope or its business value not well understood. In this study, the authors illustrate the value potential and subsequent development of a business model for knowledge exchange within the healthcare delivery model outside a hospital setting. Specifically, they illustrate how Synchronous Video Consultation with social media features, in a staged approach, can support knowledge exchange among a network of community health care professionals who address global health disparities and sustain this exchange through resource generation. The authors discuss the contributions and implications of the proposed framework towards value creation in a collaborative setting in general and suggest opportunities for future research.
Onook Oh, Chanyoung Eom, H Raghav Rao
Information Systems Research,Vol. 26, Issue 1, Pages: 210-223.
This study explores the role of social media in social change by analyzing Twitter data collected during the 2011 Egypt Revolution. Particular attention is paid to the notion of collective sense making, which is considered a critical aspect for the emergence of collective action for social change. We suggest that collective sense making through social media can be conceptualized as human-machine collaborative information processing that involves an interplay of signs, Twitter grammar, humans, and social technologies. We focus on the …
Jahangir Karimi and Zhiping Walter
Journal of Management Information Systems, Volume 32, Issue 1, Pp. 39-81.
Internet and digitization are fundamentally changing and disrupting newspaper companies’ traditional operating models. Disruptive innovation theory offers explanations for why companies succeed or fail to respond to disruptive innovations. This study builds on disruptive innovation theory by ascertaining the role of dynamic capabilities in the performance of response to digital disruption. Empirical results suggest that first-order dynamic capabilities that are created by changing, extending, or adapting a firm’s existing resources, processes, and values are positively associated with building digital platform capabilities, and that these capabilities impact the performance of response to digital disruption. For information systems (IS) researchers, this study clarifies the role of first-order dynamic capabilities in responding to digital disruption. For IS practice, it helps managers to focus on the most promising factors for creating first-order dynamic capabilities, for building digital platform capabilities, and for reinventing their core functions to accelerate digitization.
Judy E. Scott, Dawn G. Gregg, and Jae Hoon Choi
Information Systems Frontiers, Vol 17 Issue 1, January 2015, pp. 177-191.
“Lemon” complaints reveal that online auction experiences can turn sour. Theory on information asymmetry explains how “lemons” could drive high quality items away from a market leaving a dominance of poor quality goods. In this paper we analyze “lemon” complaints using content analysis and hierarchical logistic regression. In the data collection of 306 complaints from 8 product categories in online auctions, the results show that compared to standard products “lemons” are much more likely if the product category is for functional items, such as computers and consumer electronics; non-standard items with product description complexity, such as collectibles; and fragile items, such as pottery and glassware. Contrary to expectations, clothing and jewelry, representing sensory products, did not have a statistically significant impact on the frequency of “lemons”. Although two seller negative feedback rating measures did predict non-receipt of goods, seller and buyer ratings and experience did not predict “lemons”.
Jiban Khuntia, Jahangir Karimi, Mohan Tanniru, Arlen Meyers
Journal of Commercial Biotechnology, Vol. 20 Issue 3, June 2014
This article describes the initiative and actions related to establishing a Digital Health Consortium (DHC) at the University of Colorado Denver. The consortium is a part of the Center for Information Technology Innovation (CITI) in the Business School. The objective is to augment existing information systems program offerings in health information technology with the support of industry affiliates and other partners of the university. The CITI-DHC is an industry-academia led initiative with a mission to accelerate digital health transformation through education, research, and service. We illustrate the vision and plan for the consortium, that will be fulfilled with academic and industry stakeholders, and who will be engaged with the platform to support digital health care innovations through collaborations.
Toan Ong, Michael Mannino, & Dawn Gregg
Electronic Commerce Research and Applications, Vol. 13, Issue 2, March-April 2014, pp. 69-78
This exploratory study investigates the linguistic characteristics of shill reviews and develops a tool for extracting product features from the text of product reviews. Shill reviews are increasingly used to manipulate the reputation of products sold on websites. To overcome limitations of identifying shill reviews, we collected shill reviews as primary data from students posing as shills. Using semi-automated natural language processing techniques, we compared shill reviews and normal reviews on informativeness, subjectivity and readability. The results showed evidence of substantial differences between shill reviews and normal reviews in both subjectivity and readability. Informativeness appears to be a mixed separator of shill and normal reviews so additional studies may be necessary. Overall, the study provides improved understanding of shill reviews and demonstrates a method to extract and classify features from product reviews with an eventual goal to increase effectiveness of review filtering methods.
Jehad Imlawi & Dawn Gregg
International Journal of Human-Computer Interaction, Vol. 30 Issue 2, February 2014, pp. 106-125
This study proposes an engagement model that supports acceptance and use of course-based online social networks for engaging student, and hence, improving the instructor’s credibility. This research demonstrates that instructors who create course-based online social networks can increase student engagement in these online social networks, and improve the instructor’s credibility. This increase in engagement is seen when the instructor posts private information related to the course and when the instructor makes humorous posts. However, it is not seen when the instructor posts private information unrelated to the course. These results should be useful for instructors who are trying to improve student engagement and to enhance their own credibility.
This research utilizes Communication Privacy Management theory and Instructional Humor Processing theory to expand our understanding of how instructor self-disclosure and use of humor via a course-based social network impacts student outcomes. The research also contributes to the theory by providing an engagement model that is unique to online educational settings.
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 …