Navid Aghakhani, Jahangir Karimi, Mohammad Salehan
International Journal of Electronic Commerce,Vol. 22, Issue 2, Pages: 202-231.
Electronic word of mouth (eWOM) has gained increased attention from both practitioners and academia. Its importance lies in its simplicity and yet its profound impact on customers’ attitudes toward specific brands or goods, and thus affecting customers’ loyalty and purchase behaviors. Although social network services (SNSs) have emerged as a new platform for eWOM communication, less attention has been paid in the literature to eWOM adoption on SNSs. Using the elaboration likelihood model (ELM) and the affect-as-information theory, this study identifies factors that affect eWOM adoption on Facebook. We identify product-related information in a review, source credibility, peer image building, and tie strength as theoretically important variables in our study, and we examine their effect on cognitive and affective attitudes. We find that eWOM types (explicit vs. implicit) moderate the effects of cognitive and affective
Michael A Erskine, Dawn G Gregg, Jahangir Karimi, Judy E Scott
Information Systems Frontiers,Pages: 1-16.
Increasingly, spatial decision support systems (SDSS) help consumers, businesses and governmental entities make decisions involving geospatial data. Understanding if, and how, user- and task-characteristics impact decision-performance will allow developers of SDSS to maximize decision-making performance. Furthermore, scholars can benefit from a more comprehensive understanding of what specific characteristics influence decision-making when using an SDSS. This paper provides a synthesis of relevant research and presents a two-factor experiment (n=200) designed to measure the impact of user- and task-characteristics on decision-performance. Using Cognitive Fit Theory (CFT) as the theoretical framework, we investigate the effect of geospatial reasoning ability (GRA), input complexity, task complexity, and user perceptions of task-technology fit (PTTF), on geospatial decision-making
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.
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.
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.
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.
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.
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.
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.
Karimi, Jahangir, Somers, Toni M. and Bhattacherjee, Anol
International Journal of Electronic Commerce Vol. 13 Issue 3, p. 7-42
Many firms are transforming themselves from vertically integrated organizations into digitally enabled organizations. As firms become more innovative in their technical infrastructures and more competitive in their respective industries/verticals, their extended enterprise models include using their previous enterprise resource planning (ERP) investments as foundations for prioritizing additions and for longer-term strategies. The key issue for many firms is how to leverage their ERP implementation to become better partners and collaborators by enabling digital options to exploit business opportunities. This paper ascertains the contextual conditions under which ERP system implementations have the greatest impact on intention to adopt digital options. Using empirical data, it finds that the impact of ERP implementation on digital-options adoption intention is moderated by a firm’s digital-resource readiness. For information systems (IS) practice, the study suggests that firms should view ERP divisibility as an option value generator for supporting new customers and revenue opportunities. For IS research, it relates digital-options theory to specific measurable constructs and to the firm’s digital-resource readiness. Theoretical and practical implications are discussed.
Karimi, Jahangir, Somers, Toni M., and Bhattacherjee, Anol
Journal of Management Information Systems Vol. 24, Issue 2, p. 221-260
Many enterprise resource planning (ERP) implementation projects fail despite huge investments. To explain such failures, we draw on the resource-based view (RBV) of the firm to define various dimensions of information systems (IS) resources. Using resource-picking and capability-building arguments, we examine the relationships between IS resources and ERP capabilities to find out whether they have complementary effects on outcomes. Empirical results from a survey of manufacturing firms that recently implemented ERP systems support the hypothesized model. For IS research, this study further develops the complementary and capability-building roles of IS resources, integrates RBV into our current knowledge of ERP implementation, and provides theoretical explanations for when or under what conditions building ERP capabilities has the highest impact on business process outcomes. For IS practice, it emphasizes the importance of IS resources in building ERP capabilities, provides preliminary measures for IS resource dimensions, and demonstrates their impact on firms’ ERP capabilities and consequent business process outcomes.
Karimi, Jahangir, Somers, Toni M., and Bhattacherjee, Anol
Journal of Management Information Systems Vol. 24, Issue 1, p. 101-134
Failures in large-scale information technology implementation are abundantly documented in the practitioner literature. In this study, we examine why some firms benefit more from enterprise resource planning (ERP) implementation than others. We look at ERP implementation from a technological diffusion perspective, and investigate under what contextual conditions the extent of ERP implementation has the greatest effect on business process outcomes. Using empirical data, we find that the extent of ERP implementation influences business process outcomes, and both ERP radicalness and delivery system play moderating roles. For information systems (IS) practice, this study helps managers direct their attention to the most promising factors, provides insights into how to manage their complex interactions, and elaborates on their differential effects on business process outcomes. For IS research, it integrates innovation diffusion theory into our current knowledge of ERP implementation and provides theoretical explanations for ERP implementation failures.
Karimi, Jahangir, Somers, Toni M. and Gupta, Yash P.
Information Systems Research Vol. 15 Issue 2, p. 175-191
Today, more than ever before, organizations are faced with the task of processing volumes of information under more uncertain and more competitive environments. This study investigates the impact of environmental uncertainty and task characteristics on user satisfaction with data by using IS and organizational theories. Responses were matched from 77 CEOs and 166 senior managers, who were end users of IS. The partial least squares technique indicated that environmental uncertainty has a positive impact on task characteristics. Task characteristics have a direct and mediating impact on user satisfaction with data. Our findings also demonstrated that user satisfaction with data could be better understood by overlapping IS and organizational theories, rather than by treating the subject matter in disjoint fields. The paper concludes with discussions and implications for researchers and practitioners.