Management Information Systems Commons^™

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …

Covid‑19 Vaccine Distribution: Exploring Strategic Alternatives For The Greater Good, Arben Asllani, Silvana Trimi

Department of Supply Chain Management and Analytics: Faculty and Staff Publications

The dire state of the COVID-19 pandemic crisis symbolized the urgency for efficient distribution and administration of vaccines to combat the virus as the most urgent public health service. This paper presents a prototype multi-criteria decision support model based on goal programming that can effectively support vaccination plans for the greater good of society. The optimization goals of the model include minimizing the number of fatalities and risk of spreading the disease, while complying with government health agency’s priority guidelines for vaccination. This study applied the model to a real-world dataset to demonstrate how it can be effectively applied as …

Project Management Assignment Tool Using R And Shiny, Ben Stewart, Hoseok Jung, Moses Rawar

Engineering and Technology Management Student Projects

Linear programs such as the R markdown language play an important role in helping to find an optimized solution in various fields of society. This area extends from the optimal distribution channels of coffee shops, which are closely related to our lives, to very important areas such as the deployment of military forces. Through this paper, we will try to find ways to maximize the efficiency and performance of a company by properly allocating project managers suitable for the projects performed by each company according to their capabilities and the requirements of the projects.

Making Good Decisions: An Attribution Model Of Decision Quality In Decision Tasks, Bethany Niese

PhD in Business Administration Dissertations

Decision-makers endeavor to obtain the decision quality which puts them in a position to reach their goals. In order to control or influence decision quality, the processes by which individuals form their beliefs must be understood. In addition, many decision makers rely on decision support technologies to help find patterns in data and make sense of the input, so these technologies must be considered in parallel with the processes.

There have been numerous studies conducted to illuminate the factors which affect decision quality, however, many of these studies focused on objective measures and factors. This approach ignores individual perception, belief, …

Information Delivery, User Decision Approach, And Choice Environment: Examining The Effectiveness Of Non-Compensatory And Customization-Based Online Decision Support., Malgorzata Kolotylo

FIU Electronic Theses and Dissertations

Decision support research has largely focused on the mechanics of tool design, with less attention paid to the way the alternatives are presented to the user - that is, the format of the output, how the decision tool design can play a role in it, and the output content (characteristics). Furthermore, little research has examined specific decision contexts and user’s cognitive aspects pertinent to the choice task, and their role during an online purchase. This study addresses these issues by investigating the impact of output format and content of a non-compensatory (NC) tool and a customization-based tool on user’s decision …

A Model To Support It Infrastructure Planning And The Allocation Of It Governance Authority, Steven M. Thompson, Peter Ekman, Daniel Selby, Jonathan W. Whitaker

Management Faculty Publications

Information technology (IT) requires a significant investment, involving up to 10.5% of revenue for some firms. Managers responsible for aligning IT investments with their firm's strategy seek to minimize technology costs, while ensuring that the IT infrastructure can accommodate increasing utilization, new software applications, and modifications to existing software applications. It becomes more challenging to align IT infrastructure and IT investments with firm strategy when firms operate in multiple geographic markets, because the firm faces different competitive positions and unique challenges in each market.

We discussed these challenges with IT executives at four Forbes Global 2000 firms headquartered in Northern …

Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department, Amr Arisha, Waleed Abo Hamad

Conference papers

This paper presents a case study of an Emergency Department of a public hospital in Dublin, and uses an integrated approach to determine optimal staffing levels to meet the challenges of its dynamic patient demand levels. A comprehensive stochastic model is developed to incorporate patients care pathways and the resources required along their treatment journeys. Analytical Hierarchical Process is utilised to enable decision makers to set their preferences for the facility’s strategic objectives. Evolutionary algorithms are applied to optimise staff schedules. The resulted optimized schedules maintains continuity of care delivery for patients while ensuring a balanced equilibrium among available staff.

Decision Support Systems For Strategic Dispute Resolution, Anurag Agarwal, Sridhar Ramamoorti, Vaidyanathan Jayaraman

Faculty and Research Publications

Disputes and lawsuits are quite common in business and are often a source of significant liabilities. We conjecture that measurement challenges and lack of adequate analysis tools have greatly inhibited the ability of the General Counsel's offices in selecting the best mode for the resolution (i.e. litigation vs. out-of-court settlement) of business conflicts and disputes. Easily quantified direct costs (e.g., out-of-pocket expenses related to pursuing and defending against litigation) tend to be considered, whereas the more difficult-to-quantify indirect risks and costs (e.g., damaged relationships with customers and potential alliance partners, including reputational harm) which may be quite significant, tend to …

An Experimental Study Of Executive Decision-Making With Implications For Decision Support, Terence T. Ow, James G. Morris

Management Faculty Research and Publications

Past research in the field of information systems has explored factors and conditions that are relevant to decision-making in many contexts. However, very little is known about how executives consider, weigh, and integrate these factors. One current school of thought holds that intuition and instincts can play a significant role and that when decision-makers use their instincts, they rely on only a relatively small subset of the cues available to them. This has implications for designing and improving decision support systems, which form a major and widespread element of modern organizational computing. We examine the decision-making policies of professional decision-makers. …

How Incorporating Feedback Mechanisms In A Dss Affects Dss Evaluations, Ujwal Kayande, Arnaud De Bruyn, Gary Lilien, Arvind Rangaswamy, Gerrit Van Bruggen

Ujwal Kayande

Model-based decision support systems (DSS) improve performance in many contexts that are data-rich, uncertain, and require repetitive decisions. But such DSS are often not designed to help users understand and internalize the underlying factors driving DSS recommendations. Users then feel uncertain about DSS recommendations, leading them to possibly avoid using the system. We argue that a DSS must be designed to induce an alignment of a decision maker’s mental model with the decision model embedded in the DSS. Such an alignment requires effort from the decision maker and guidance from the DSS. We experimentally evaluate two DSS design characteristics that …

Developing Data Mart Using Extraction, Transformation And Loading, Senthil Murugan Lakshmanan

Theses Digitization Project

This project is organized to develop the sales data mart for the purpose of reporting data. Data warehouses support online analytical processing applications by gathering the data from various kinds of source information in a multidimensional format. Developing this strategic information can be done with the ETL, which means Extract, Transform and Loading. ETL functions reshape the relevant data from source systems into useful information to be stored in the data warehouse or data marts. The successful deployment of the sales data mart allowed the creation of a user interface that permits users to make strategic decisions. The reports can …

The Constraints Of The Valuation Distribution For Solving A Class Of Games By Using A Best Response Algorithm, Gangshu (George) Cai, Jie Zhong, Peter R. Wurman

Information Systems and Analytics

Infinite games with incomplete information are common in practice. First-price, sealed-bid auctions are a prototypical example. To solve this kind of infinite game, a heuristic approach is to discretise the strategy spaces and enumerate to approximate the equilibrium strategies. However, an approximate algorithm might not be guaranteed to converge. This paper discusses the utilisation of a best response algorithm in solving infinite games with incomplete information. We show the constraints of the valuation distributions define the necessary conditions of the convergence of the best response algorithm for several classes of infinite games, including auctions. A salient feature of the necessary …

The Viability Of Is Enhanced Knowledge Sharing In Mission-Critical Command And Control Centers, Sameh A. Sabet

Dissertations

Engineering processes such as the maintenance of mission-critical infrastructures are highly unpredictable processes that are vital for everyday life, as well as for national security goals. These processes are categorized as Emergent Knowledge Processes (EKP), organizational processes that are characterized by a changing set of actors, distributed knowledge bases, and emergent knowledge sharing activities where the process itself has no predetermined structure. The research described here utilizes the telecommunications network fault diagnosis process as a specific example of an EKP. The field site chosen for this research is a global undersea telecommunication network where nodes are staffed by trained personnel …

The Evolution Of Research On Information Systems: A Fiftieth Year Survey Of The Literature In Management Science, Rajiv D. Banker, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

The development of the information systems (IS) literature in Management Science during the past 50 years reflects the inception, growth, and maturation of several different research streams. The five research streams we identify incorporate different definitions of the managerial problems that relate to IS, the alternate theoretical perspectives and different methodological paradigms to study them, and the levels of the organization at which their primary results impact managerial practice. The decision support and design science research stream studies the application of computers in decision support, control, and managerial decision making. The value of information research stream reflects relationships established based …

Computer-Based Decision Support System Use In Contracting's Source Selection Process, Matthew L. Decker

Theses and Dissertations

This thesis examines the use of decision support system (DSS) technology within the U.S. Air Force's contracting source selection process. DSS technology has been shown to be an effective aid to complex decision processes such as source selection decisions and the possible effects of utilizing this technology are the focus of this study. Conclusions drawn from this thesis may guide the contracting community to readdress the possibility of implementing DSS technology within the source selection process. This study evaluated statistical data from a previous experiment to determine the effect of DSS use on time, confidence, and decision quality. This study …

Group Decision Support Systems (Gdss) And Influence Modes: A Comparative Field Study Between Gdss Mediated Groups And Non-Gdss Mediated Groups, L. Grant Bridgewater

Theses and Dissertations

This study examined the effect of Group Decision Support System (GDSS) technology on perceived influence modes. The researcher measured perceived influence modes in two group treatments: GDSS groups and non-GDSS (N-GDSS) mediated groups. Actual groups in both treatments performed judgmental tasks of their own choosing. Group members then completed a survey which measured their perceptions regarding five influence sources: expert influence, influence from legitimate authority, referent influence, reward influence, and coercive influence. The survey also measured the extent to which members perceived an "opportunity to influence" other group members. For each variable measured in both treatment groups, mean scores were …