Chasing John Snow: data analytics in the COVID-19 era

2020 | European Journal of Information Systems | Citations: 0

Authors: Pietz, Jesse; McCoy, Scott; Wilck, Joseph H.

Abstract: During the first half of 2020, the lives of people around the world abruptly cha ... Expand

Abstract: During the first half of 2020, the lives of people around the world abruptly changed due to COVID-19. Data visualisations and models related to the spread of the disease became ubiquitous. In this paper, we survey 25 different data analytics dashboards, highlight the modelling approach taken by each, and develop a multi-attribute utility theory model to assess their effectiveness in communicating key features that explain the spread of infectious disease. We show that the dashboards that feature dimensions that span the categories associated with compartmental epidemiology models tend to be relatively robust data visualisations, and we highlight that information systems need to be improved to include data on actions to reduce the spread of the disease. We analyse the actions taken by countries around the world and show that when governments employ strict measures early, particularly those that enforce social distancing and include widespread testing and comprehensive contact tracing, they are more likely to experience better outcomes. Recommendations for how countries should respond in future pandemics are detailed. Collapse

Topics: digital dashboard analytical information system pandemic data visualization systems development

Methods: survey longitudinal research sensitivity analysis machine learning

Theories: multi-attribute utility theory

Assessment of Multi-Criteria Preference Measurement Methods for a Dynamic Environment

2019 | HICSS | Citations: 0

Authors: Lenz, Annika; Schoop, Mareike

Abstract: Multi-criteria decision analysis is required in various domains where decision m ... Expand

Abstract: Multi-criteria decision analysis is required in various domains where decision making reoccurs as part of a longer-term process. When the decision context changes or the preferences evolve due to process dynamics, one-shot preference measurement is not sufficient to build an adequate basis for decision making. Process dynamics require taking into account the dimension of time. We investigate six interactive preference measurement methods providing the possibility to assess alternatives in terms of utility for an individual decision maker, whether they are suitable for dynamic preference adjustment. We use a mixed-methods approach to analyse them towards 1) requirements for a dynamic method, and 2) their efficiency, validity, and complexity. Our results show that the best method to be further developed for dynamic context is Adaptive Self-Explication slightly preferable over Pre-Sorted Self-Explication. Our assessment implicates that an extension of the Adaptive Self-Explication will enable efficient dynamic decision support. Collapse

Topics: decision support usability systems design database system

Methods: mixed method conjoint analysis multi objective optimization trade-off analysis method ELECTRE

Theories: multi-attribute utility theory

Using Analytic Hierarchy Process for COBIT 5 Process Prioritization

2018 | Americas Conference on Information Systems | Citations: 0

Authors: Almeida, Rafael

Abstract: COBIT 5 is often used as a reference framework by professionals looking for guid ... Expand

Abstract: COBIT 5 is often used as a reference framework by professionals looking for guidelines regarding Information Technology governance and management. One of the management tools provided by COBIT 5 is the Goals Cascade, which constitutes the core entry point for COBIT 5 process improvement. After the goals cascade run, for each stakeholder need that the stakeholder defines, several processes that support that need should be implemented. Notwithstanding, the goals cascade does not prioritize the processes that should be implemented first, and so, organizations are somehow at a crossroads - they know what to implement, but not where to start. Therefore, in this research, the authors propose to use the Analytical Hierarchy Process (AHP) to help organizations establish the priorities for the COBIT 5 improvement processes. The authors carried out a goals cascade run based on the COBIT 5 guide and then prioritized the selected processes using the AHP method. Collapse

Topics: COBIT business process improvement

Methods: trade-off analysis method design science analytic hierarchy process

Theories: theory of case-based reasoning fuzzy set theory multi-attribute utility theory

Assessing U.S. Travelers’ Trade-offs for Aviation Safety Objectives: A Natural Experiment

2017 | HICSS | Citations: 0

Authors: Nguyen, Kenneth; Rosoff, Heather; John, Richard S

Abstract: Understanding air travelers’ values for aviation safety is essential to design e ... Expand

Abstract: Understanding air travelers’ values for aviation safety is essential to design effective and wellaccepted security measures. This study investigates changes in U.S. travelers trade-offs for passenger screening objectives using the occurrence of an international aviation incident (loss of Malaysian Airline Flight 370) as a natural experiment. We also examine how alternative screening procedures affect trade-offs between equity and safety concerns. Results show evidence for an enduring effect of the aviation incident on trade-offs between safety and other passenger screening objectives. Additionally, the use of different procedures to select high-risk passengers for enhanced screening altered the relative importance of the equity objective. Implications for the design of future airport security policies are discussed. Collapse

Topics: price management

Methods: chi squared test experiment statistical hypothesis test parametric test Bonferroni correction

Theories: multi-attribute utility theory

Drivers of Market Success for Mobile Gaming Apps - Results of a Choice-Based Conjoint Experiment

2017 | International Conference on Information Systems | Citations: 0

Authors: Rollin, Robér; Steinmann, Sascha; Schramm-Klein, Hanna; Neus, Florian; Nimmermann, Frederic

Abstract: Mobile apps have gained a tremendous popularity. In 2016 more than 140 billion a ... Expand

Abstract: Mobile apps have gained a tremendous popularity. In 2016 more than 140 billion apps were already downloaded from the app store, generating a sales volume of $28 billion and by far, gaming apps are the most popular and profitable app category. Given this enormous potential, it is surprising that little research is known about the drivers of market success for mobile gaming apps. Therefore, we define and verify attributes that significantly impact the choice decision by users. We investigate which attributes of a mobile gaming app have an impact on users’ choice decision and gaining insights into the perceived utility of specific attributes of mobile gaming apps. Finally, we were able to identify, which attributes of a mobile gaming app potentially compensate each other from the perspective of users. Collapse

Topics: mobile game mobile system mobile application mobile application market digital distribution

Methods: experiment simulation regression analysis method conjoint analysis

Theories: multi-attribute utility theory

Modeling Values of Internet of Things (IoT) Consumers’ for Privacy Decision-Making

2017 | Americas Conference on Information Systems | Citations: 0

Authors: Syed, Romilla

Abstract: The Internet of Things (IoT) has been gaining popularity; however, consumer priv ... Expand

Abstract: The Internet of Things (IoT) has been gaining popularity; however, consumer privacy remains a challenge. Particularly, the lack of knowledge about IoT consumer’s privacy concerns coupled with uncertainty about the protection mechanisms provided by IoT manufactures inhibits one’s ability to make self-interested privacy decisions. Informed by multi-attribute utility theory, this study presents a decision model referred to as Privacy Expectation-Perception (EP) Utility Model. The model explicates consumers privacy concerns represented as privacy protection objectives and calculates the expected utility of achieving the objectives to the best level. The model is applied to assess the achievement of privacy objectives for a set of alternatives (i.e. IoT devices) and calculates the perceived utility of the IoT devices. This analysis provides privacy expectation-perception utility gap, an indicator of how well an IoT device achieves one’s privacy expectations. This study is expected to contribute to privacy concern and privacy decision making literature. The utility model will be a useful decision aid for both IoT consumers and manufacturers to strategize about privacy protection. Collapse

Topics: privacy mobile system internet of things

Theories: multi-attribute utility theory

Privacy calculus and its utility for personalization services in e-commerce: An analysis of consumer decision-making

2017 | Information & Management | Citations: 0

Authors: Zhu, Hui; Ou, Carol X. J.; van den Heuvel, W. J. A. M.; Liu, Hongwei

Abstract: Modern consumers increasingly embrace the personalization of services. Whether t ... Expand

Abstract: Modern consumers increasingly embrace the personalization of services. Whether to disclose private information to companies for the sake of receiving personalized service is largely contingent to relative valuations and the utility of private information. Unfortunately, there is a lack of balanced research that analyzes and reconciles the contradiction between privacy and personalization service. In this study, based on the multi-attribute utility theory (MAUT), we introduce a utility model of privacy in personalization. Our simulation results validate our white-box utility model by demonstrating significant distinctions of calculating benefits and costs among three groups of consumers. Collapse

Topics: privacy information privacy concern personalization usability decision making

Methods: simulation literature study digital trace data archival research optimization model

Theories: privacy calculus theory multi-attribute utility theory fuzzy set theory game theory behavioral economics

A Voting Approach Applied to Preventive Maintenance Management of a Water Supply System

2017 | Group Decision and Negotiation | Citations: 0

Authors: de Almeida-Filho, Adiel T.; Monte, Madson B. S.; Morais, Danielle C.

Abstract: In developing countries, water distribution is a service that has limited resour ... Expand

Abstract: In developing countries, water distribution is a service that has limited resources for its expansion and modernization. Besides this problem, some regions suffer shortages of water. Thus, this resource is under-supplied to many communities. For this kind of situation, the planning of maintenance activities becomes even more important in order to reduce downtime due to system failures. Generally, more than one person may be involved in such kinds of decision-making processes. Thus, methods to aid group decision-making play an important role in finding a solution that captures different points of view. Therefore, this paper puts forward an approach for analyzing the preferences of water supply maintenance managers and includes the customer’s perspective in the decision process. The evaluation criteria are set in terms of seeking to establish the optimal interval for preventive maintenance. The alternative chosen based on the rankings from individual decision-makers (DMs) represents the best compromise from the perceptions of all DMs involved in this problem. The proposed approach to aggregate the DMs’ preferences is well suited to the context of maintenance management for a water supply system. Collapse

Topics: decision making

Methods: case study literature study regression analysis method

Theories: multi-attribute utility theory

2D versus 3D Visualizations in Decision Support – The Impact of Decision Makers’ Perceptions

2015 | International Conference on Information Systems | Citations: 0

Authors: Franz, Markus; Scholz, Michael; Hinz, Oliver

Abstract: Decision makers often do not easily understand the decision space, i.e. the avai ... Expand

Abstract: Decision makers often do not easily understand the decision space, i.e. the available alternatives and relations among their attributes. Misunderstanding the relations between attributes might lead to a bad decision. Recent research in decision analysis has addressed this problem and proposed to support decision makers with visual information about the decision space. However, the question of which visualization method and format supports decision makers best is largely unanswered. We focus on coordinate systems as visualization method and investigate the impact of 2D and 3D formats on decision making processes. We show that 3D is not superior to 2D in terms of several decision making performance variables, such as time to make a decision. We, however, provide first evidence that 2D and 3D visualizations differ in the decision makers’ perceptions and that these differences are moderated by the complexity of the decision space. Collapse

Topics: decision making decision support decision support system decision quality perceived ease of use

Methods: laboratory experiment survey experiment literature study experimental task

Theories: multi-attribute utility theory

Energy Cooperatives as an Application of Microgrids: Multi-Criteria Investment Decision Support

2015 | International Conference on Information Systems | Citations: 0

Authors: Fridgen, Gilbert; Gründler, Anna; Rusic, Milos

Abstract: The future of energy generation is expected to become increasingly decentralized ... Expand

Abstract: The future of energy generation is expected to become increasingly decentralized. Today, many customers are already more than demand units, they also act as energy producers (prosumers) and thus participants in the energy market. The development of energy cooperatives with underlying microgrids in recent years undermines this observation. Information and communication technologies enable the management of energy cooperatives by incorporating data (smart meter, energy generation). We present a MAUT-based software tool to provide support for energy cooperatives when deciding about investments in new supply units. The findings of the literature analysis point out that energy cooperatives have economic, ecologic and social goals. Within our software tool we define measures for the fulfilment of the goals including available data. The utility for each goal is calculated and aggregated to an index. We test the developed software tool with real-world data. The results indicate that our artifact provides useful decision support. Collapse

Topics: decision making decision support decision support system non volatile memory price management

Methods: descriptive statistic longitudinal research design artifact longitudinal survey time series analysis

Theories: multi-attribute utility theory