Dawn Gregg and Madhavan Parthasarathy
Small Business Economics, Vol. 49, Issue 2, August 2017 pp. 405–419
With 40% of the world able to access the internet, online marketplaces provide the small entrepreneur with a hitherto incomprehensible opportunity to reach a global audience with very low barriers to entry and low risk. Yet, academic research has not studied the factors unique to online businesses that affect their long-term survival. This study is the first of its kind that does so using data gathered from eBay’s feedback system in 2004, 2009, and 2013. The results present data on the rate of discontinuance of eBay ventures. Further, a logistic regression analysis suggests that unique factors such as venture size, age, and feedback reputation positively influence the likelihood of long-term survival of an eBay venture. Based on these results and the ensuing discussion, implications for researchers and practitioners are provided.
Mohamed Alsharo, Dawn Gregg and Ronald Ramirez
Information and Management, Vol. 54, Issue 4, August 2017, Pages. 479-490
Organizations utilize virtual teams to gather experts who collaborate online to accomplish organizational tasks. The virtual nature of these teams creates challenges to effective collaboration and team outcomes. This research addresses the social effects of knowledge sharing on virtual teams. We propose a conceptual model which hypothesizes a relationship between knowledge sharing, trust, collaboration, and team effectiveness in virtual team settings. The findings suggest that knowledge sharing positively influences trust and collaboration among virtual team members. The findings also suggest that while trust positively influences virtual team collaboration, it does not have a significant direct effect on team effectiveness.
Vicki R Lane, Jiban Khuntia, Madhavan Parthasarathy, Bidyut B Hazarika
Journal of Global Information Management (JGIM),Vol. 25, Issue 3, Pages: 98-120.
In this study, the authors examine how the internet is changing two critical personal value dimensions of India’s youth. Based on values theory, and using data that spans a decade from 2004-2014, they contend that time spent on the internet is an influential factor in changing self-enhancement and self-transcendence values. Given the tremendous increase in exposure to western products, ideals, and people-to-people interaction via internet connectivity (India has over 275 million internet users who communicate in the …
James H Gerlach, Chorng-Guang Wu, Lawrence F Cunningham, Clifford E Young
International Journal of Open Source Software and Processes (IJOSSP),Vol. 7, Issue 3, Pages: 20-38.
This article reports on an exploratory study of the causes and effects of conflict within the open source software project, Debian. Conflict arose when the project leader decided to introduce payment for select volunteers within an all-volunteer project to speed up the release of Debian. The study utilized the theoretical framework of Boltanski and Thvenot for understanding disputes. The results of the survey of Debian developers show that the conditions for conflict were complex and were driven by perception of misuse of …
Jahangir Karimi, Zhiping Walter
Long Range Planning, Volume 49, Issue 3, Pp. 342–360
Recently, Internet and digitization, along with major news and information companies, have disrupted traditional newspaper companies’ business models, and raised serious concerns about the future viability of the print newspaper industry. This study provides a theoretical viewpoint, supported by empirical evidence from the newspaper industry, on how prominent corporate entrepreneurship attributes impact disruptive business model innovation adoption, and how such adoption impacts business model performance. It finds that, while autonomy, risk-taking, and proactiveness do have positive associations with the extent of adoption of disruptive business model innovation, innovativeness does not. Further, disruptive business model innovation adoption has a nonlinear association with business model performance. We conclude the paper by discussing theoretical implications of the study and by providing strategies that entrepreneurs and technology managers can use to adjust their corporate entrepreneurship activities in their effort to successfully adopt disruptive business model innovation.
Khuntia, J., Hang, S., Yim, D.
International Journal on Media Management, Volume 18, Issue 1
In contemporary media management, the sharing of news articles among readers’ family, friends, and social circle is vital to the media outlet’s reaching a wide audience and building engagement. As the use of social media is becoming more integrated into the core strategy of many businesses, the propensity to share news has become a key metric to measure and understand media impact. Although existing literature suggests that increasing the centrality of news sharing has become an important factor in audience engagement, empirical evidence of the influence of news sharing is sparse. The challenges in motivating news readers to share in the media environment call for research on the characteristics that predict the spreading of news. In this regard, we investigate how textual characteristics of news articles influence sharing activities. Using a publicly available secondary dataset of 39,797 records from Mashable, we build a decision tree and conducted regression analysis to identify the factors that are most influential in terms of sharing. We find that subjective writing style, polar sentiments expressed in the title of an article, and embedded content, such as external links and images, are positively associated with number of shares. In addition, we find that sharing of articles occurs more often through social media channels than through other special interest websites (e.g., entertainment, business) and more frequently on weekends. We provide managerial insights into the economics of the contemporary news business and guidelines to measure, monetize, and analyze audience engagement based on the sharing process.
Jack Weiner, Mohan Tanniru, Jiban Khuntia, David Bobryk, Mehul Naik, Kenneth LePage
Journal of Hospital Administration, Volume 5, Issue 4, Pp. 34-43.
Background: Regulatory and competitive pressures and the need for cross-organizational data sharing are demanding that hospital leaders create a data-driven decision making culture to improve performance. Using an innovation assimilation strategy framework, this paper describes how a hospital used its implementation of a Real Time Dashboard System (rtDashboard) to improve performance, change its organizational culture and put it on a path towards digital leadership (DL).
Objective: Implement an rtDashboard system that can support a data-driven decision making culture for performance improvement while engaging business and information technology (IT) leaders in DL practice.
Results: The rtDashboard contributed significantly to monitoring hospital performance and influenced change in unit level decision making that was aligned with hospital goals. The rtDashboard implementation not only provided substantial performance improvement and quality benchmarking, but also changed the responsibility and accountability culture and helped the hospital put in practice DL principles to support future innovations.
Conclusions: DL through rtDashboard is a demonstration of how a hospital can seek and strive for excellence. As much as dashboards are pivotal to organizational performance monitoring at the senior leadership level, the process used to diffuse it to every operational unit in support of a data-driven decision making culture showcases how hospital executives and IT leaders can work together to continually align and re-align their strategies to reach organizational goals – the core of DL practice.
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.