Impact of Geospatial Reasoning Ability and Perceived Task-Technology Fit on Decision-Performance: The Moderating Role of Task Characteristics

Consumer, business and governmental entities increasingly rely on spatial decision support systems (SDSS) for decision-making involving geospatial data. Understanding user- and task-characteristics that impact decision performance will allow developers of such systems to maximize geospatial decision-making performance. Furthermore, scholars will benefit from a more comprehensive understanding of what specific characteristics influence decision-making as such knowledge can guide future research in the decision sciences domain. This paper provides a synthesis of geospatial reasoning ability, task-complexity, geovisualization and decision-performance research. A two-factor experiment designed to measure the impact of geospatial reasoning ability on decision-performance is performed. Two treatments, problem-complexity and map-complexity, are investigated for their moderating role on decision-performance. A partial least squares analysis is performed to assess the experiment results. Cognitive Fit Theory is used as the theoretical framework of this study and is extended, along with research in decision-performance and geospatial reasoning ability

Survey of Desktop Virtualization in Higher Education: An Energy- and Cost-Savings Perspective

Benefits of utilizing desktop virtualization technology in higher education environments include the ability to deploy numerous applications, which may conflict on a traditional desktop, into a single image. Additionally, the utilization of thin-clients could produce substantial energy savings and reduce physical desktop replacement costs. Finally, virtualized desktops can be delivered to numerous non-enterprise devices, particularly student’s personal laptops or dorm-room computers. While there appear to be numerous benefits to desktop virtualization, there are many barriers to adoption. This paper outlines the substantial energy- and cost-savings provided through desktop virtualization in higher education. A literature review of relevant works and findings of a university implementation workgroup are presented using a case-study approach

Utilizing Volunteered Geographic Information to Develop a Real-Time Disaster Mapping Tool: A Prototype and Research Framework

The global proliferation of personal mobile devices has provided the capability of electronic data collection to billions of people. Furthermore, recent innovations in technologies and implementation methodologies have allowed groups of people to collect and analyze large quantities of data. Examples of such systems include Wikipedia, a community-sourced digital encyclopedia, and Yelp, a directory and review tool of local businesses. The occurrence of important events or the establishment of new restaurants has motivated individuals to provide timely and accurate contributions to Wikipedia or Yelp, respectively. Considering the benefits of widespread data collection capabilities and the motivations to contribute to public knowledge, this design-science paper proposes and prototypes components of a publically driven, real-time disaster-response mapping system

The Effects of Geospatial Website Attributes on eImage: An Exploratory Study

This research-in-progress analyzes the impacts of geospatial website attributes on eImage, or the online image of an organization. Specifically, geospatial attributes on websites of service-oriented businesses that must convince consumers to visit their physical locations are addressed. Limited existing research regarding geospatial website attributes provided the motivation to conduct this study. Additionally, the moderating impact of geospatial reasoning ability on eImage is explored. The results of this study will further electronic commerce and human-computer interaction research, expand the understanding of website attributes and their effects on eImage, as well as provide practical guidance for web designers

Empowering Citizen-Centric Innovation for Effective Smart City Initiatives: A Location Intelligence Perspective

The world population continues to inhabit and move toward urban areas. This global population shift has dramatically changed the notion of a modern city even from a few decades ago. Many cities have turned to digital technologies in response to rapid growth and demographic changes. Such technologies rely on sophisticated sensor networks (van Zoonen, 2016; El-Haddadeh et al., 2019), infrastructure modernization (Khatoun & Zeadally, 2016), and advances in efficiency and sustainability (Sakurai & Kokuryo, 2018) to ensure outcomes related to a higher quality of life (Gascó-Hernandez, 2018). Researchers have examined participatory government and location intelligence in the context of smart cities. We expand on this work by exploring a) how citizen sensing methods can provide dynamic location-based data collection, b) how interactive location analytics can foster citizen engagement and participation, and c) how geo-visualization can improve citizen awareness. Citizen sensing is a method of deploying citizens and mobile devices to collect essential data for smart cities. Citizen engagement and participation determine how to include citizens in smart city decision-making. Citizen awareness addresses how smart cities can impart essential information to their citizens. Smart governance, such as public participation in decision making, policies and regulation, and urban digitization, can empower citizen-centric innovation. Similarly, citizen-driven initiatives, including participation in public life and an affinity to contribute to their social fabric, also lead to innovation. Therefore, our work will utilize a case approach by capturing the perspectives of official representatives and citizen groups. Moreover, our study will rely on semi-structured interviews with individuals representing municipalities in various countries (e.g., Brazil, Columbia, Germany, and the United States)

Emotional Dissonance and the Information Technology Professional: A Methodological Replication Study

This study is a methodological replication of Emotional Dissonance and the Information Technology Professional by Rutner, Hardgrave, and McKnight (2008). Though we adopted the original study\u27s hypotheses and research methodology, we add to that research by investigating generational differences, increasing the sample size, and including respondents from multiple firms and industries. In this replication, we were able to 1) establish continued support for the direct impact of emotional dissonance on work exhaustion, 2) increase the explanatory power, and 3) provide broader generalizability through sampling subjects from multiple firms. We discuss both the practical and theoretical implications of these findings

Effect of suppressing thoughts of desire to smoke on ratings of desire to smoke and tobacco withdrawal symptoms

Studies indicate that while suppressing smoking thoughts increases subsequent smoking, it may have no impact on desire to smoke. However, previous research has examined suppression of general smoking thoughts rather than thoughts specifically related to desire to smoke. The present study investigated whether suppression of thoughts of desire to smoke results in subsequently elevated ratings of desire to smoke. An experimental study examined the effects of suppressing thoughts of desire to smoke, versus expressing thoughts of desire to smoke, versus a control group thinking about anything, on ratings of desire to smoke and tobacco withdrawal symptoms at four time points (before manipulations, just after manipulations, 5 min after, 10 min after). In addition, effects of suppressing thoughts of desire to smoke on subsequent reports of thoughts of desire to smoke were examined. Suppressing the thoughts of desire to smoke caused thought rebound (i.e., greater subsequent reports of thoughts of desire to smoke). However, compared with control groups, this suppression did not elevate subsequent ratings of desire to smoke. Suppressing the thoughts of desire to smoke does not elevate subsequent ratings of this desire. Increased cigarette consumption following suppression of smoking thoughts may be mediated by mechanisms other than increased desire to smoke

Mental Health and Information Technology Catalysts as Determinants of Innovative Work Behavior

Interpersonal interactions, such as impromptu face-to-face workplace conversations, facilitate knowledge transfer and spur innovation within individual work roles; however, the move to remote work during the COVID-19 pandemic disrupted these dynamics. This research examines how innovation can be maintained in remote work settings by considering Information Technology (IT) catalysts (a combination of IT mindfulness, IT identity, and IT empowerment) during disruptive events and crises. We also highlight the importance of remote workers’ mental health and coping as precursors for IT catalysts to stimulate innovative work behaviors. Our paper contributes to information systems (IS) theory by establishing remote workers’ mental health and coping as distal factors of innovation and precursors to IT catalysts. In addition, we extend IS theory by establishing the relationships among the IT catalyst factors as well as their impact on innovative work behaviors. Our research provides insights for organizations interested in sustaining innovation, especially during crises or other stress-inducing events or conditions

Factors influencing the organizational adoption of cloud computing: a survey among cloud workers

Cloud computing presents an opportunity for organizations to leverage affordable, scalable, and agile technologies. However, even with the demonstrated value of cloud computing, organizations have been hesitant to adopt such technologies. Based on a multi-theoretical research model, this paper provides an empirical study targeted to better understand the adoption of cloud services. An online survey addressing the factors derived from literature for three specific popular cloud application types (cloud storage, cloud mail and cloud office) was undertaken. The research model was analyzed by using variance-based structural equation modelling. Results show that the factors of compatibility, relative advantage, security and trust, as well as, a lower level of complexity lead to a more positive attitude towards cloud adoption. Complexity, compatibility, image and security and trust have direct and indirect effects on relative advantage. These factors further explain a large part of the attitude towards cloud adoption but not of its usage

Factors influencing the organizational adoption of cloud computing: a survey among cloud workers

Cloud computing presents an opportunity for organizations to leverage affordable, scalable, and agile technologies. However, even with the demonstrated value of cloud computing, organizations have been hesitant to adopt such technologies. Based on a multi-theoretical research model, this paper provides an empirical study targeted to better understand the adoption of cloud services. An online survey addressing the factors derived from literature for three specific popular cloud application types (cloud storage, cloud mail and cloud office) was undertaken. The research model was analyzed by using variance-based structural equation modelling. Results show that the factors of compatibility, relative advantage, security & trust, as well as, a lower level of complexity lead to a more positive attitude towards cloud adoption. Complexity, compatibility, image and security & trust have direct and indirect effects on relative advantage. These factors further explain a large part of the attitude towards cloud adoption but not of its usage