12 research outputs found
An evaluation of the challenges of Multilingualism in Data Warehouse development
In this paper we discuss Business Intelligence and define what is meant by support for Multilingualism in a Business Intelligence reporting context. We identify support for Multilingualism as a challenging issue which has implications for data warehouse design and reporting performance. Data warehouses are a core component of most Business Intelligence systems and the star schema is the approach most widely used to develop data warehouses and dimensional Data Marts. We discuss the way in which Multilingualism can be supported in the Star Schema and identify that current approaches have serious limitations which include data redundancy and data manipulation, performance and maintenance issues. We propose a new approach to enable the optimal application of multilingualism in Business Intelligence. The proposed approach was found to produce satisfactory results when used in a proof-of-concept environment. Future work will include testing the approach in an enterprise environmen
Business intelligence information systems success : a South African study.
Doctor of Philosophy in Information Systems and Technology. University of KwaZulu-Natal. Durban, 2016.Business Intelligence (BI) systems hold promise for improving organisational decision making in South Africa. Additionally, BI systems have become increasingly important over the past few decades and are one of the top spending priority areas of most organisations. Yet till now, the factors influencing the success of BI systems in South Africa have not been fully investigated. The study found no scholarly research for managers and other practitioners to assess post implementation success of BI systems in South Africa. This lack of research may directly affect managersâ not knowing how best to implement BI systems and could thereby delay the successful implementation of BI systems in South African organisations.
The study extends that of DeLone and McLean (2003), conducted in developed economies by applying it to a developing economy context, namely South Africa. The DeLone and McLean (2003) model has been widely utilised to study factors that influence information systems (IS) success. This study extends the DeLone and McLean (2003) by adding a user quality factor and suggests a theoretical model consisting of six factors, which are: (1) system quality, (2) service quality, (3) information quality, (4) user satisfaction, (5) individual impact, (6) and user quality.
The theoretical model was formulated from the literature review. It was then validated and enhanced through a qualitative study of three interviews with end users of BI systems based in South Africa. The theoretical model was then presented to a panel of experts for verification. A questionnaire survey method was employed as the main method to collect data and to answer the main research question. Statistical analysis methods and Structural Equation Modelling (SEM) with SPSS was used to analyse the data. The results of the hypotheses were mixed. Three suggested that relationships were statistically significant, while the other four did not. The study finds that information quality is significantly and positively related to user satisfaction in a BI system. The results also indicate that user quality is positively related to user satisfaction in a BI system and system quality is positively related to individual impact in a BI system.
The results have both managerial and research implications. The results of this study will add value to IS and specifically BI literature. Organisations, which have adopted BI or are planning to adopt BI, can use the important variables of the study to undertake an internal check to find out how they compare in terms of these variables. The unique contribution of this study is the identification of post implementation success factors of BI systems in a South African context. The factors identified also served in providing a set of management guidelines for the BI environment in South Africa
Efficient Decision Support Systems
This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers
Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband
Erschienen bei: universi - UniversitÀtsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt:
Track 1: Produktion & Cyber-Physische Systeme
Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities
Service Systems, Smart Service Systems and Cyber- Physical SystemsâWhatâs the difference? Towards a Unified Terminology
Developing an Industrial IoT Platform â Trade-off between Horizontal and Vertical Approaches
Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory
Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case
Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie
Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis
Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs
Track 2: Logistic Analytics
An Empirical Study of Customersâ Behavioral Intention to Use Ridepooling Services â An Extension of the Technology Acceptance Model
Modeling Delay Propagation and Transmission in Railway Networks
What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards?
Robust Route Planning in Intermodal Urban Traffic
Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design)
Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes
Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement
Strategic Analysis in the Realm of Enterprise Modeling â On the Example of Blockchain-Based Initiatives for the Electricity Sector
Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren
Novicesâ Quality Perceptions and the Acceptance of Process Modeling Grammars
Entwicklung einer Definition fĂŒr Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen
Designing a Reference Model for Digital Product Configurators
Terminology for Evolving Design Artifacts
Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects
Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications
Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications
Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management)
eGovernment Competences revisited â A Literature Review on necessary Competences in a Digitalized Public Sector
Say Hello to Your New Automated Tutor â A Structured Literature Review on Pedagogical Conversational Agents
Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education
Conceptualizing Immersion for Individual Learning in Virtual Reality
Designing a Flipped Classroom Course â a Process Model
The Influence of Risk-Taking on Knowledge Exchange and Combination
Gamified Feedback durch Avatare im Mobile Learning
Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks
Track 5: Data Science & Business Analytics
Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness
Applied image recognition: guidelines for using deep learning models in practice
Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting
Reading Between the Lines of Qualitative Data â How to Detect Hidden Structure Based on Codes
Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation
Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data
Topic Embeddings â A New Approach to Classify Very Short Documents Based on Predefined Topics
Leveraging Unstructured Image Data for Product Quality Improvement
Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest
Knowledge Discovery from CVs: A Topic Modeling Procedure
Online Product Descriptions â Boost for your Sales?
EntscheidungsunterstĂŒtzung durch historienbasierte Dienstreihenfolgeplanung mit Pattern
A Semi-Automated Approach for Generating Online Review Templates
Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization
Bedeutung von Predictive Analytics fĂŒr den theoretischen Erkenntnisgewinn in der IS-Forschung
Track 6: Digitale Transformation und Dienstleistungen
Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems
Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey
Taxonomy of Digital Platforms: A Platform Architecture Perspective
Value of Star Players in the Digital Age
Local Shopping Platforms â Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis
A Socio-Technical Approach to Manage Analytics-as-a-Service â Results of an Action Design Research Project
Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units
Expectations vs. Reality â Benefits of Smart Services in the Field of Tension between Industry and Science
Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment
Characterising Social Reading Platformsâ A Taxonomy-Based Approach to Structure the Field
Less Complex than Expected â What Really Drives IT Consulting Value
Modularity Canvas â A Framework for Visualizing Potentials of Service Modularity
Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things
A Taxonomy of Barriers to Digital Transformation
Ambidexterity in Service Innovation Research: A Systematic Literature Review
Design and success factors of an online solution for cross-pillar pension information
Track 7: IT-Management und -Strategie
A Frugal Support Structure for New Software Implementations in SMEs
How to Structure a Company-wide Adoption of Big Data Analytics
The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age
Bewertung des Kundennutzens von Chatbots fĂŒr den Einsatz im Servicedesk
Understanding the Benefits of Agile Software Development in Regulated Environments
Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies
Agile and Attached: The Impact of Agile Practices on Agile Team Membersâ Affective Organisational Commitment
The Complexity Trap â Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations
Platform Openness: A Systematic Literature Review and Avenues for Future Research
Competence, Fashion and the Case of Blockchain
The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity
Track 8: eHealth & alternde Gesellschaft
Security and Privacy of Personal Health Records in Cloud Computing Environments â An Experimental Exploration of the Impact of Storage Solutions and Data Breaches
Patientenintegration durch Pfadsysteme
Digitalisierung in der StressprĂ€vention â eine qualitative Interviewstudie zu Nutzenpotenzialen
User Dynamics in Mental Health Forums â A Sentiment Analysis Perspective
Intent and the Use of Wearables in the Workplace â A Model Development
Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review
Understanding the Habitual Use of Wearable Activity Trackers
On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Usersâ Goal Orientations in Affecting the Benefits Gained
Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects
Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings
Track 9: Krisen- und KontinuitÀtsmanagement
Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland
Fake News Perception in Germany: A Representative Study of Peopleâs Attitudes and Approaches to Counteract Disinformation
Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment
Track 10: Human-Computer Interaction
Towards a Taxonomy of Platforms for Conversational Agent Design
Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis
Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment
Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren
Designing Dynamic Decision Support for Electronic Requirements Negotiations
Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress
Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents
Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review
Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach
The Role of Early User Participation in Discovering Software â A Case Study from the Context of Smart Glasses
The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games
Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods
Track 11: Information Security and Information Privacy
Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions
To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context
Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR
On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market
What is Your Selfie Worth? A Field Study on Individualsâ Valuation of Personal Data
Justification of Mass Surveillance: A Quantitative Study
An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms
Track 12: Umweltinformatik und nachhaltiges Wirtschaften
KommunikationsfĂ€den im Nadelöhr â Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt
Potentiale und Herausforderungen der Materialflusskostenrechnung
Computing Incentives for User-Based Relocation in Carsharing
Sustainabilityâs Coming Home: Preliminary Design Principles for the Sustainable Smart District
Substitution of hazardous chemical substances using Deep Learning and t-SNE
A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment
A Survey of Smart Energy Services for Private Households
Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation â A Literature Review
Ein EntscheidungsunterstĂŒtzungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse
Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy
Digitale RĂŒckverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie
Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones
Towards Predictive Energy Management in Information Systems: A Research Proposal
A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology
Track 13: Digital Work - Social, mobile, smart
On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work
The Potential of Augmented Reality for Improving Occupational First Aid
Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants
Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI
A Case Study on Cross-Hierarchical Communication in Digital Work Environments
âShow Me Your People Skillsâ - Employing CEO Branding for Corporate Reputation Management in Social Media
A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change
The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects
The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance
Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp
The Effect of Marker-less Augmented Reality on Task and Learning Performance
Antecedents for Cyberloafing â A Literature Review
Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project
Track 14: GeschÀftsmodelle und digitales Unternehmertum
Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services
Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective
Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction
Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes
Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators
When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies
Special Track 1: Student Track
Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail
From Facets to a Universal Definition â An Analysis of IoT Usage in Retail
Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study
Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking
TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter
Application of Process Mining Techniques to Support Maintenance-Related Objectives
How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce
Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance?
Improving Business Model Configuration through a Question-based Approach
The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning
Evaluation von ITSM-Tools fĂŒr Integration und Management von Cloud-Diensten am Beispiel von ServiceNow
How Software Promotes the Integration of Sustainability in Business Process Management
Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry
Special Track 3: Demos & Prototyping
Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype
Application-oriented robotics in nursing homes
Augmented Reality for Set-up Processe
Mixed Reality for supporting Remote-Meetings
Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung
Automatically Extracting and Analyzing Customer Needs from Twitter: A âNeedminingâ Prototype
GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities
TUCANA: A platform for using local processing power of edge devices for building data-driven services
Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur
Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation fĂŒr Ă€ltere Nutzerinnen und Nutzer
A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach
Exergames & Dementia: An interactive System for People with Dementia and their Care-Network
Workshops
Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik â EMoWIâ19)
Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates
Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management
Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research
Die Mitarbeiter von morgen - Kompetenzen kĂŒnftiger Mitarbeiter im Bereich Business Analytics
Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati
The impact of big data analytics on marketing performance, and the role of dynamic capabilities
In rapidly changing markets, at the heart of competitive dynamics is the ability of firms, either established or emerging, to see opportunities that others do not yet see (Baden-Fuller & Teece,2020). In opportunities not yet seen by others, data is often the big player, and the ability to analyze it and draw valid conclusions can create a competitive advantage. As consumers have become a data factory, big data has demonstrated its potential to transform the art of management, alter and refine the decision-making process, increase the visibility of business operations and improve performance measurement mechanisms (Wamba et al., 2015; Erevelles et al., 2015). Having access to all this data has created substantial opportunities for marketing organizations to take a more analytical view in developing many new optimizations. Data that were once considered anomalous or outliers are now being heavily considered to extract patterns and new information, which has increased the size of the analyzed series (Fan et al., 2015). And this dimension is advancing rapidly. The marketing function and technology developers are coming up with new and versatile solutions for strategic change and the successful design and launch of new products..
A quality oriented approach towards information requirement determination in equivocal situations
Analysis of usersâ needs is one of the key determinants of any systemâs success and the foundation of requirement determination process. Yet because of the complexity of humanâs needs, the process of requirement determination for developing systems to meet humanâs needs is often ad hoc and poorly understood (Browne & Ramesh, 2002). Poor execution of Information Requirement Determination (IRD) will almost guarantee the failure of the final project, as a result a significant portion of requirement determination activities are dedicated to determining usersâ information level requirements (Hickey & Davis, 2004) which in this study is referred to as IRD. There is no commonly accepted IRD method for all situations and therefore IRD methods are leaning toward specialised methods, designed for specific contexts and situations (Siau & Rossi, 2011). However a significant proportion of IRD literature is focused on organisational context while there are other complex contexts which require researchersâ attention. One such situations for which no specialised IRD method could be found in the literature is the context of âIndividual Decision Making in Equivocal Situations (IDMES)â which in this study is defined as: Contexts in which an individual should make important decisions in complex and equivocal situations he/she is not an expert in. Examples of IDMES could be identified in healthcare where a patient who is not a trained healthcare professional has to choose between several available treatments for a serious health problem. Complexity of decisions a patient needs to make is comparable to the complex decisions that a manager must make in an organisation. The differentiation is that patients are not healthcare specialists but managers are specialists of the area in which they make decisions. In such situations providing higher amount of information to users may actually increase the uncertainty they face (e.g. overloading a patient with information). Therefore, in developing information systems for supporting decision making in such contexts, extra attention should be paid to determining other characteristics of usersâ information needs, namely: quality and source. To establish a theoretical foundation for the IRD method required in this context, a conceptual model labelled as Quality Requirement Determination (QRD) model has been generated in this study. To develop the QRD model, two concepts of Information Quality (IQ) and Information Seeking Behaviour (ISB) have been leveraged. Although both IQ and ISB are mature topics, their applications in IRD methods are not very well studied (Gharib & Giorgini, 2015; Savolainen, 2007, 2008; Sonnenwald, Wildemuth, & Harmon, 2001). To evaluate the QRD model, it has been applied to the case of parenting children with autism. This case has been selected because it meets all the characteristics of IDMES, namely because: 1) autism cause and cure are unknown and therefore selecting from the array of available interventions âis a nightmare for desperate parentsâ (Crawford, 2013, p. 53). 2) Parents must individually make decisions in a context in which they are not trained experts even though over time they develop a certain level of practical experience. Seventeen parents were interviewed about their information seeking behaviours when they needed to decide on interventions necessary for a specific problem. The results of the data analysis confirm the existence of the relationships between perceived information needs, source preference behaviour and quality requirements proposed in the QRD model. The information requirements which arose from the case of parenting children with autism is embodied in the QRD presentation matrix. It leverages a nine cell matrix with each cell representing a cognitive role played by the information sources in the usersâ information horizon1 . The QRD presentation matrix along with the QRD model and associated data collection and analysis techniques are called QRD method. To evaluate the usability of determined information by the QRD method, results of an instrumental case study were presented to a group of IS practitioners. The selected IS practitioners have been chosen from variety of expertise involved in developing information systems to reflect the maximum variety of opinions. The interview results demonstrated the value of the QRD method for a number of key practical activities in the IRD process, namely: context study, problem definition, quality requirement analysis, quality implementation, designing information flow and user interface design
A quality oriented approach towards information requirement determination in equivocal situations
Analysis of usersâ needs is one of the key determinants of any systemâs success and the foundation of requirement determination process. Yet because of the complexity of humanâs needs, the process of requirement determination for developing systems to meet humanâs needs is often ad hoc and poorly understood (Browne & Ramesh, 2002). Poor execution of Information Requirement Determination (IRD) will almost guarantee the failure of the final project, as a result a significant portion of requirement determination activities are dedicated to determining usersâ information level requirements (Hickey & Davis, 2004) which in this study is referred to as IRD. There is no commonly accepted IRD method for all situations and therefore IRD methods are leaning toward specialised methods, designed for specific contexts and situations (Siau & Rossi, 2011). However a significant proportion of IRD literature is focused on organisational context while there are other complex contexts which require researchersâ attention. One such situations for which no specialised IRD method could be found in the literature is the context of âIndividual Decision Making in Equivocal Situations (IDMES)â which in this study is defined as: Contexts in which an individual should make important decisions in complex and equivocal situations he/she is not an expert in. Examples of IDMES could be identified in healthcare where a patient who is not a trained healthcare professional has to choose between several available treatments for a serious health problem. Complexity of decisions a patient needs to make is comparable to the complex decisions that a manager must make in an organisation. The differentiation is that patients are not healthcare specialists but managers are specialists of the area in which they make decisions. In such situations providing higher amount of information to users may actually increase the uncertainty they face (e.g. overloading a patient with information). Therefore, in developing information systems for supporting decision making in such contexts, extra attention should be paid to determining other characteristics of usersâ information needs, namely: quality and source. To establish a theoretical foundation for the IRD method required in this context, a conceptual model labelled as Quality Requirement Determination (QRD) model has been generated in this study. To develop the QRD model, two concepts of Information Quality (IQ) and Information Seeking Behaviour (ISB) have been leveraged. Although both IQ and ISB are mature topics, their applications in IRD methods are not very well studied (Gharib & Giorgini, 2015; Savolainen, 2007, 2008; Sonnenwald, Wildemuth, & Harmon, 2001). To evaluate the QRD model, it has been applied to the case of parenting children with autism. This case has been selected because it meets all the characteristics of IDMES, namely because: 1) autism cause and cure are unknown and therefore selecting from the array of available interventions âis a nightmare for desperate parentsâ (Crawford, 2013, p. 53). 2) Parents must individually make decisions in a context in which they are not trained experts even though over time they develop a certain level of practical experience. Seventeen parents were interviewed about their information seeking behaviours when they needed to decide on interventions necessary for a specific problem. The results of the data analysis confirm the existence of the relationships between perceived information needs, source preference behaviour and quality requirements proposed in the QRD model. The information requirements which arose from the case of parenting children with autism is embodied in the QRD presentation matrix. It leverages a nine cell matrix with each cell representing a cognitive role played by the information sources in the usersâ information horizon1 . The QRD presentation matrix along with the QRD model and associated data collection and analysis techniques are called QRD method. To evaluate the usability of determined information by the QRD method, results of an instrumental case study were presented to a group of IS practitioners. The selected IS practitioners have been chosen from variety of expertise involved in developing information systems to reflect the maximum variety of opinions. The interview results demonstrated the value of the QRD method for a number of key practical activities in the IRD process, namely: context study, problem definition, quality requirement analysis, quality implementation, designing information flow and user interface design