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GRP DSS Artifacts.ris
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TY - CONF
TI - A Design Science Approach for Consultant Selection Decision Support System
AU - M. F. Omar
AU - B. Trigunarsyah
AU - J. Wong
T2 - 2009 Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology
AB - In the past decades, information system (IS) has been applied in wide and diverse management area. Construction management problem is considered a new and promising area for IS researchers to contribute. Scholars in IS discipline have divided research in two distinct paradigm i.e. behavioural and design science. This paper presented a design science research methodology (DSRM) for DSS development. The research aims to create an innovative IT artefact to support the decision making for consultant selection problem (CSP). To address the research objectives, three case studies at Malaysian Department of Irrigation and Drainage (DID) are planned to be conducted and integrated in the DSRM framework. It is expected that this research will contribute to the improvement of organizational decision making process for consultant selection involving irrigation and drainage projects.
C3 - 2009 Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology
DA - 2009/11/21/23
PY - 2009
DO - 10.1109/COINFO.2009.73
SP - 90
EP - 94
KW - Australia
KW - Humans
KW - Project management
KW - Design methodology
KW - Decision making
KW - Management information systems
KW - Decision support systems
KW - Information resources
KW - decision support systems
KW - decision making
KW - information systems
KW - project management
KW - Irrigation
KW - information system
KW - DSS development
KW - Decision Support System
KW - design science research methodology
KW - Design Science Research Methodology
KW - DSRM
KW - Behavioral science
KW - construction management problem
KW - Consultant Selection
KW - consultant selection decision support system
KW - design science approach
KW - drainage projects
KW - Malaysian Department of Irrigation and Drainage
KW - organizational decision making process
ER -
TY - CONF
TI - Offshore Wind Energy in Emerging Countries: A Decision Support System for the Assessment of Projects
AU - A. Koukal
AU - M. H. Breitner
T2 - 2014 47th Hawaii International Conference on System Sciences
AB - Energy consumption is constantly on the increase all over the world. Especially fast-growing economies in emerging countries contribute to this increase. In addition, the climate change effects of greenhouse gas emissions are becoming more and more evident. Today it has become necessary to expand renewable energies, and offshore wind energy in particular to emerging countries. We provide decision support for assessing projects and general financial conditions, respectively. To that end, research artifacts are constructed and evaluated according to the design science research (DSR) principles. A discounted cash flow (DCF) model in combination with a Monte Carlo simulation (MCS) to consider critical project risks forms the basis of our decision support system (DSS). The applicability of the DSS is evaluated with an offshore wind project in Brazil. According to Green information systems (IS), our DSS contributes to economic sustainability.
C3 - 2014 47th Hawaii International Conference on System Sciences
DA - 2014/01/06/9
PY - 2014
DO - 10.1109/HICSS.2014.115
SP - 865
EP - 874
SN - 1530-1605
KW - Mathematical model
KW - Decision support systems
KW - Economics
KW - decision support systems
KW - information systems
KW - Wind energy
KW - Monte Carlo methods
KW - Monte Carlo simulation
KW - economics
KW - DSS
KW - Green products
KW - Investment
KW - Finance
KW - Design Science
KW - energy consumption
KW - financial management
KW - wind power plants
KW - renewable energy sources
KW - DCF model
KW - decision support system
KW - design science research principles
KW - Discounted Cash Flow
KW - discounted cash flow model
KW - DSR principles
KW - economic sustainability
KW - financial conditions
KW - green information systems
KW - greenhouse gas emissions
KW - MCS
KW - Monte Carlo Simulation
KW - offshore installations
KW - offshore wind energy
KW - Offshore Wind Energy
ER -
TY - CONF
TI - The Design Functions of a Knowledge-Based Decision Support System in B2C E-commerce Problem Domain
AU - M. Khatun
AU - S. Miah
T2 - 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)
AB - Managers of small businesses require real-time and inclusive knowledge for employing the small business website for operating business-to-consumers (B2C) e-commerce environment. The main dedication of this paper is to develop a knowledge-based DSS (KB-DSS) solution for assisting in designing and keep operating their business websites. The KB-DSS is a well-recognised DSS class in the information system (IS) discipline, which can deal with developing innovative IS artefact. Various studies have been conducted on improving theory and practices within this field. We developed the KB-DSS for website features evaluation, adopting design-science research (DSR) method. The artefact was evaluated for its utility and usefulness through end-user involvements employing focus group technique.
C3 - 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)
DA - 2017/12/11/13
PY - 2017
DO - 10.1109/APWConCSE.2017.00015
SP - 33
EP - 40
KW - Decision making
KW - Decision support systems
KW - decision support systems
KW - Knowledge based systems
KW - Prototypes
KW - information systems
KW - Databases
KW - information system
KW - Web sites
KW - electronic commerce
KW - knowledge based systems
KW - -decision-support-systems
KW - -design-science-research
KW - -knowledge-base
KW - -strategic-decision
KW - B2C e-commerce problem domain
KW - B2C-e-commerce
KW - business website
KW - business-to-consumers
KW - design functions
KW - design-science research method
KW - DSS class
KW - e-commerce environment
KW - IS artefact
KW - KB-DSS
KW - knowledge-based decision support system
KW - knowledge-based DSS solution
KW - Structured Query Language
KW - Website features evaluation
ER -
TY - CONF
TI - Decision Support System for the Sustainability Assessment of Critical Raw Materials in SMEs
AU - S. Bensch
AU - C. Kolotzek
AU - C. Helbig
AU - A. Thorenz
AU - A. Tuma
T2 - 2015 48th Hawaii International Conference on System Sciences
AB - Technology-oriented Small and Medium-sized Enterprises (SMEs) face the problem of shortage of crucial resources, as functional components may contain up to 40 elements. Therefore, the assessment of alternative raw materials is of growing importance for the discipline of strategic product design and procurement processes as a topic of Information Systems (IS) research. Aspects of sustainability consider both ecological and economic objectives. Methods to assess companies' sustainability regarding its raw material consumption are an essential precondition for resource efficiency. This work at hand develops a conceptual decision and IS integration model for the assessment of products based on their raw material composition and implements this model as a software prototype, following a design-science approach. Its application is demonstrated in a real case scenario. The application's results show the comprehensibility and transparency in evaluating products' sustainability and enables companies to compare different alternative products, from both an ecological and economic point of view.
C3 - 2015 48th Hawaii International Conference on System Sciences
DA - 2015/01/05/8
PY - 2015
DO - 10.1109/HICSS.2015.107
SP - 846
EP - 855
SN - 1530-1605
KW - sustainable development
KW - Sustainability
KW - Information systems
KW - Decision support systems
KW - Economics
KW - decision support systems
KW - Electromagnetic interference
KW - information systems
KW - SME
KW - Biological system modeling
KW - Companies
KW - Raw materials
KW - design science approach
KW - small-to-medium enterprises
KW - IS research
KW - software prototype
KW - decision support system
KW - comprehensibility
KW - conceptual decision
KW - critical raw materials
KW - Criticality Assessment
KW - Decision Model Design
KW - economic point of view
KW - EMIS Concept
KW - IS integration model
KW - procurement
KW - procurement processes
KW - products sustainability
KW - raw material composition
KW - raw material consumption
KW - raw materials
KW - resource efficiency
KW - strategic product design
KW - sustainability assessment
KW - technology-oriented small and medium-sized enterprises
ER -
TY - CONF
TI - Encouraging the Mindful Consideration of Enterprise 2.0: Design and Deployment of a GDSS-Supported Collaborative Strategic Episode
AU - S. De Hertogh
AU - S. Viaene
T2 - 2012 45th Hawaii International Conference on System Sciences
AB - The deployment of social media inside and across enterprises, i.e. 'enterprise 2.0', has garnered significant attention, not least due to considerable levels of market push and hype from technology vendors, benchmarking institutions and consultancy firms. However, for some organizations, encouraging open and uninhibited knowledge exchanges may actually clash with past habits of relying on designed and structured strategies to manage communication. This paper has two objectives: first, to propose a set of management challenges inherent to the deployment of enterprise 2.0, and second, to incorporate these challenges into a collaborative management workshop process and group decision support system (GDSS) that encourages organizations' leadership teams to consider those challenges mindfully and collaboratively - before jumping on the enterprise 2.0 'bandwagon'. The paper follows Hevner's cycles of design science. For the system's design, we draw on theories of episodic change of general systems theorist, Luhmann and work by Churchman on inquiry systems.
C3 - 2012 45th Hawaii International Conference on System Sciences
DA - 2012/01/04/7
PY - 2012
DO - 10.1109/HICSS.2012.243
SP - 3858
EP - 3868
SN - 1530-1605
KW - Lead
KW - management
KW - Collaboration
KW - social media
KW - decision support systems
KW - design science
KW - Internet
KW - Organizations
KW - Investments
KW - groupware
KW - GDSS
KW - Technological innovation
KW - organisational aspects
KW - web 2.0
KW - Standards organizations
KW - benchmarking institutions
KW - Churchman
KW - collaborative management workshop process
KW - consultancy firms
KW - enterprise 2.0
KW - enterprise resource planning
KW - GDSS supported collaborative strategic episode
KW - group decision support system
KW - Hevner
KW - Hevner cycles
KW - inquiry systems
KW - Luhmann
KW - market hype
KW - market push
KW - organization leadership teams
KW - social software
KW - technology vendors
ER -
TY - CONF
TI - Measuring Information Volatility in a Health Care Information Supply Chain
AU - Tremblay, Monica Chiarini
AU - Berndt, Donald J.
AU - Hevner, Alan R.
T3 - DESRIST '09
C1 - New York, NY, USA
C3 - Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
DA - 2009///
PY - 2009
DO - 10.1145/1555619.1555621
SP - 1:1
EP - 1:10
PB - ACM
SN - 978-1-60558-408-9
UR - http://doi.acm.org/10.1145/1555619.1555621
KW - decision support systems
KW - focus groups
KW - business intelligence
KW - decision science research
KW - information volatility
KW - metrics
ER -
TY - JOUR
TI - Design and development of a context-aware decision support system for real-time accident handling in logistics
AU - Ngai, E.W.T.
AU - Leung, T.K.P.
AU - Wong, Y.H.
AU - Lee, M.C.M.
AU - Chai, P.Y.F.
AU - Choi, Y.S.
T2 - 1)Decision Support Systems for Logistics and Supply Chain Management 2)Business Intelligence and the Web
AB - This paper describes the design and development of a context-aware fleet management system (CFMS) prototype for real-time accident handling in logistics using a design science approach. One of the most important decisions in fleet management is the optimization of vehicle scheduling during an accident, such as a vehicle breakdown and mechanical failure during delivery. The schedule planner has to assign another vehicle to take over the task; thus, accident handling needs the reassignment or re-scheduling of vehicles. The large number of available vehicles for reassignment and numerous trips in a day make rescheduling complicated and difficult to resolve. In this paper, we propose a CFMS integrated with global positioning system (GPS) for real-time vehicle positioning and eSeal enabled by the RFID technology, to help human planners with rescheduling. A CFMS prototype was built and evaluated in a real-world setting. The system prototype was satisfactory during evaluation. The system was found to be more effective by its potential users and field logistics experts in aiding real-time accident handling in logistics. The design science approach used to develop the prototype could form a basis for further research.
DA - 2012/03/01/
PY - 2012
DO - 10.1016/j.dss.2011.11.016
VL - 52
IS - 4
SP - 816
EP - 827
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923611002223
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=Design+and+development+of+a+context-aware+decision+support+system+for+real-time+accident+handling+in+logistics&title=Decision+Support+Systems&issn=01679236&date=2012-03-01&volume=52&issue=4&spage=816&au=Ngai%2C+EWT%3BLeung%2C+TKP%3BWong%2C+YH%3BLee%2C+MCM%3BChai%2C+PYF%3BChoi%2C+YS&isbn=&jtitle=Decision+Support+Systems&btitle=&rft_id=info:eric/&rft_id=info:doi/
N1 - <p>Accession Number: 72337493; Ngai, E.W.T.; Email Address: mswtngai@polyu.edu.hk; Leung, T.K.P.; Wong, Y.H.; Lee, M.C.M.; Chai, P.Y.F.; Choi, Y.S.; Issue Info: Mar2012, Vol. 52 Issue 4, p816; Thesaurus Term: Decision support systems; Thesaurus Term: Work-related injuries; Thesaurus Term: Business logistics; Thesaurus Term: Mathematical optimization; Thesaurus Term: Production scheduling; Thesaurus Term: Delivery of goods; Subject Term: Global Positioning System; Subject Term: Discrete systems; Author-Supplied Keyword: Context-aware decision support system; Author-Supplied Keyword: Fleet management system prototype; Author-Supplied Keyword: Real-time accident handling; NAICS/Industry Codes: 541614 Process, Physical Distribution, and Logistics Consulting Services; Number of Pages: 12p; Document Type: Article</p>
N1 - <p>CODEN - DSSYDK</p>
N1 - <p>Copyright - Copyright Elsevier Sequoia S.A. Mar 2012</p>
N1 - <p>Last updated - 2012-02-28</p>
KW - Scheduling
KW - 5160:Transportation management
KW - 9130:Experiment/theoretical treatment
KW - Studies
KW - Logistics
KW - 5240:Software & systems
KW - Decision support systems
KW - Production scheduling
KW - Computers--Automation
KW - Global Positioning System
KW - Mathematical optimization
KW - Business logistics
KW - Discrete systems
KW - Context-aware decision support system
KW - Fleet management system prototype
KW - Real-time accident handling
KW - Real time
KW - Traffic accidents & safety
KW - Delivery of goods
KW - Work-related injuries
ER -
TY - JOUR
TI - Human-centred design approach applied to Medical Dynamic DSS
AU - Ltifi, Hela
AU - Kolski, Christophe
AU - Ayed, Mounir Ben
AU - Alimi, Adel M.
T2 - 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems
AB - This paper presents a new human-centred design approach which derived from conceptual design research and through a critical field research study. The proposed approach is applied to a Medical Dynamic Decision Support System (DSS) supporting the hospital Intensive Care Unit physicians’ decisions in order to predict nosocomial infections occurrence. The design approach in question is then validated.
DA - 2010/01/01/
PY - 2010
DO - 10.3182/20100831-4-FR-2021.00082
VL - 43
IS - 13
SP - 465
EP - 470
J2 - IFAC Proceedings Volumes
SN - 1474-6670
UR - http://www.sciencedirect.com/science/article/pii/S1474667015325775
KW - Human-Computer Interaction
KW - Medical Dynamic Decision support systems
KW - Nosocomial Infections
ER -
TY - JOUR
TI - A new web personalization decision-support artifact for utility-sensitive customer review analysis
AU - Flory, Long
AU - Osei-Bryson, Kweku-Muata
AU - Thomas, Manoj
T2 - Decision Support Systems
AB - In recent years there has been increased consumer use of the vast array of online reviews. Given the increasingly high volume of such reviews, automatic analyses of their quality have become imperative. Not surprisingly, this situation has attracted the interest of researchers. However, prior approaches are insufficient to address the consumers' need for non-burdensome sense making of online reviews. This research attempts to close this gap by proposing novel design science artifacts (i.e. construct, architecture, algorithms and prototype) to address the consumers' need. We evaluate these artifacts using a set of experiments and hypothesis tests. The results validate the effectiveness and efficiency of the proposed artifacts. We demonstrate their practical utility and relevance using real world pilot experiments. This paper contributes theoretical knowledge to the review quality literature and, what we believe is the first exemplifier for adequately validating the solutions of review quality research.
DA - 2017/02/01/
PY - 2017
DO - 10.1016/j.dss.2016.11.003
VL - 94
SP - 85
EP - 96
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923616301853
KW - Web 2.0
KW - Decision support
KW - Text mining
KW - Online review
KW - Review quality
KW - Web personalization
ER -
TY - JOUR
TI - Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud
AU - Demirkan, Haluk
AU - Delen, Dursun
T2 - Decision Support Systems
AB - Using service-oriented decision support systems (DSS in cloud) is one of the major trends for many organizations in hopes of becoming more agile. In this paper, after defining a list of requirements for service-oriented DSS, we propose a conceptual framework for DSS in cloud, and discus about research directions. A unique contribution of this paper is its perspective on how to servitize the product oriented DSS environment, and demonstrate the opportunities and challenges of engineering service oriented DSS in cloud. When we define data, information and analytics as services, we see that traditional measurement mechanisms, which are mainly time and cost driven, do not work well. Organizations need to consider value of service level and quality in addition to the cost and duration of delivered services. DSS in CLOUD enables scale, scope and speed economies. This article contributes new knowledge in service science by tying the information technology strategy perspectives to the database and design science perspectives for a broader audience.
DA - 2013/04/01/
PY - 2013
DO - 10.1016/j.dss.2012.05.048
VL - 55
IS - 1
SP - 412
EP - 421
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923612001595
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=Leveraging+the+capabilities+of+service-oriented+decision+support+systems%3A+Putting+analytics+and+big+data+in+cloud&title=Decision+Support+Systems&issn=01679236&date=2013-04-01&volume=55&issue=1&spage=412&au=Demirkan%2C+Haluk%3BDelen%2C+Dursun&isbn=&jtitle=Decision+Support+Systems&btitle=&rft_id=info:eric/&rft_id=info:doi/
N1 - <p>Accession Number: 87616722; Demirkan, Haluk 1; Email Address: haluk.demirkan@gmail.com; Delen, Dursun 2; Affiliations: 1: The Milgard School of Business, University of Washington Tacoma, United States; 2: Department of Management Science and Information Systems, Spears School of Business, Oklahoma State University, United States; Issue Info: Apr2013, Vol. 55 Issue 1, p412; Thesaurus Term: Decision support systems; Thesaurus Term: Data analysis; Subject Term: Service-oriented architecture (Computer science); Subject Term: Cloud computing; Subject Term: Institutional environment; Subject Term: Opportunity; Author-Supplied Keyword: Analytics-as-a-service; Author-Supplied Keyword: Big data; Author-Supplied Keyword: Data-as-a-service; Author-Supplied Keyword: Information-as-a-service; Author-Supplied Keyword: Service orientation; Author-Supplied Keyword: Service science; NAICS/Industry Codes: 518210 Data Processing, Hosting, and Related Services; Number of Pages: 10p; Document Type: Article</p>
N1 - <p>CODEN - DSSYDK</p>
N1 - <p>Copyright - Copyright Elsevier Sequoia S.A. Apr 2013</p>
N1 - <p>Last updated - 2013-05-15</p>
KW - Cloud computing
KW - Data analysis
KW - Big data
KW - Service-oriented architecture (Computer science)
KW - 9130:Experiment/theoretical treatment
KW - Studies
KW - 5240:Software & systems
KW - Decision support systems
KW - Computers--Automation
KW - Software engineering
KW - Information technology
KW - Analytics-as-a-service
KW - Data-as-a-service
KW - Information-as-a-service
KW - Service orientation
KW - Service science
KW - Service oriented architecture
KW - Institutional environment
KW - Opportunity
ER -
TY - JOUR
TI - Eight key issues for the decision support systems discipline
AU - Arnott, David
AU - Pervan, Graham
T2 - Decision Support Systems
AB - This paper integrates a number of strands of a long-term project that is critically analysing the academic field of decision support systems (DSS). The project is based on the content analysis of 1093 DSS articles published in 14 major journals from 1990 to 2004. An examination of the findings of each part of the project yields eight key issues that the DSS field should address for it to continue to play an important part in information systems scholarship. These eight issues are: the relevance of DSS research, DSS research methods and paradigms, the judgement and decision-making theoretical foundations of DSS research, the role of the IT artifact in DSS research, the funding of DSS research, inertia and conservatism of DSS research agendas, DSS exposure in general “A” journals, and discipline coherence. The discussion of each issue is based on the data derived from the article content analysis. A number of suggestions are made for the improvement of DSS research. These relate to case study research, design science, professional relevance, industry funding, theoretical foundations, data warehousing, and business intelligence. The suggestions should help DSS researchers construct high quality research agendas that are relevant and rigorous.
DA - 2008/02/01/
PY - 2008
DO - 10.1016/j.dss.2007.09.003
VL - 44
IS - 3
SP - 657
EP - 672
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923607001698
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=Eight+key+issues+for+the+decision+support+systems+discipline&title=Decision+Support+Systems&issn=01679236&date=2008-02-01&volume=44&issue=3&spage=657&au=Arnott%2C+David%3BPervan%2C+Graham&isbn=&jtitle=Decision+Support+Systems&btitle=&rft_id=info:eric/&rft_id=info:doi/
N1 - <p>Accession Number: 27933343; Arnott, David 1; Email Address: david.arnott@infotech.monash.edu.au; Pervan, Graham 2; Affiliations: 1: Centre for Decision Support and Enterprise Systems Research, Monash University, Melbourne, Australia; 2: Curtin Business School, Curtin University of Technology, Perth, Australia; Issue Info: Feb2008, Vol. 44 Issue 3, p657; Thesaurus Term: Warehouse management; Thesaurus Term: Decision support systems; Thesaurus Term: Database management; Thesaurus Term: Data warehousing; Author-Supplied Keyword: Business intelligence; Author-Supplied Keyword: Executive information systems; Author-Supplied Keyword: Group support systems; Author-Supplied Keyword: Review; NAICS/Industry Codes: 518210 Data Processing, Hosting, and Related Services; NAICS/Industry Codes: 236220 Commercial and Institutional Building Construction; NAICS/Industry Codes: 493110 General Warehousing and Storage; NAICS/Industry Codes: 493190 Other Warehousing and Storage; Number of Pages: 16p; Document Type: Article</p>
N1 - <p>CODEN - DSSYDK</p>
N1 - <p>Copyright - Copyright Elsevier Sequoia S.A. Feb 2008</p>
N1 - <p>Last updated - 2014-05-19</p>
KW - Decision making
KW - 9130:Experiment/theoretical treatment
KW - Studies
KW - 5240:Software & systems
KW - Decision support systems
KW - Computers--Automation
KW - Database management
KW - Content analysis
KW - Business intelligence
KW - Data warehousing
KW - Executive information systems
KW - Group support systems
KW - Review
KW - Judgment
KW - Warehouse management
ER -
TY - JOUR
TI - Improving physicians' performance with a stroke CDSS: A cognitive fit design approach
AU - Chang, Te-Min
AU - Kao, Hao-Yun
AU - Wu, Jen-Her
AU - Su, Yu-Feng
T2 - Computers in Human Behavior
AB - A large body of evidence over many years suggests that clinical decision support systems (CDSSs) can be helpful in improving both clinical outcomes and adherence to evidence-based guidelines. CDSSs have however failed to show their effectiveness due to poor ease of use and integration within clinical workflows. This research therefore emphasizes a cognitive fit design approach to developing an effective CDSS to solve those issues. According to the cognitive fit theory CDSS should align with the problem and task representation in order to match the physician's mental model to reduce cognitive effort. Several guidelines based on the cognitive fit design are proposed. A stroke CDSS prototype following the design guidelines is developed to demonstrate its feasibility. The system usability test results showed that the developed stroke CDSS was acceptably accurate, able to lessen the cognitive effort as desired, and preferable for use due to the significant reduction in cognitive load. The developed artifact has shown the potential to benefit physicians. Finally, implications and conclusions are discussed.
DA - 2016/01/01/
PY - 2016
DO - 10.1016/j.chb.2015.07.054
VL - 54
SP - 577
EP - 586
J2 - Computers in Human Behavior
SN - 0747-5632
UR - http://www.sciencedirect.com/science/article/pii/S0747563215300662
KW - Cognitive load
KW - Cognitive fit theory
KW - Clinical decision support systems
KW - Cognitive effort
KW - Design science Research
ER -
TY - JOUR
TI - A DSS Design Model for complex problems: Lessons from mission critical infrastructure
AU - Klashner, Robb
AU - Sabet, Sameh
T2 - Integrated Decision Support
AB - This paper presents a new DSS Design Model for complex, mission critical decision-making situations and its technical, conceptual, and partial empirical evaluation. The new model was derived from conceptual design research and through a deep qualitative field research study at an electric power utility control center—a typical arena for “wicked” problems. The model suggests an iterative process of theory, simulation, and decision-making interactions. The DSS Design Model is validated using a tool instantiation, microgrid mini-case, and current research of a KMDSS for telecommunications. Main findings suggest that broader and more integrated approaches are necessary to design DSS for complex domains.
DA - 2007/04/01/
PY - 2007
DO - 10.1016/j.dss.2005.05.027
VL - 43
IS - 3
SP - 990
EP - 1013
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923605000928
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=A+DSS+Design+Model+for+complex+problems%3A+Lessons+from+mission+critical+infrastructure&title=Decision+Support+Systems&issn=01679236&date=2007-04-01&volume=43&issue=3&spage=990&au=Klashner%2C+Robb%3BSabet%2C+Sameh&isbn=&jtitle=Decision+Support+Systems&btitle=&rft_id=info:eric/&rft_id=info:doi/
N1 - <p>Accession Number: 24542280; Klashner, Robb 1; Email Address: klashner@njit.edu; Sabet, Sameh 1,2; Affiliations: 1: Information Systems Department, New Jersey Institute of Technology, Newark, NJ 07102-1982, United States; 2: Tyco Telecommunications, 250 Industrial Way West, Eatontown, NJ 07724, United States; Issue Info: Apr2007, Vol. 43 Issue 3, p990; Thesaurus Term: Decision making; Thesaurus Term: Problem solving; Thesaurus Term: Electric utilities; Thesaurus Term: Power resources; Author-Supplied Keyword: Complex adaptive systems; Author-Supplied Keyword: Decision support systems; Author-Supplied Keyword: Design; Author-Supplied Keyword: Electricity; Author-Supplied Keyword: Infrastructure; Author-Supplied Keyword: Knowledge management; Author-Supplied Keyword: Wicked decisions; NAICS/Industry Codes: 221122 Electric Power Distribution; NAICS/Industry Codes: 221121 Electric Bulk Power Transmission and Control; NAICS/Industry Codes: 221118 Other Electric Power Generation; NAICS/Industry Codes: 221117 Biomass Electric Power Generation; NAICS/Industry Codes: 221116 Geothermal Electric Power Generation; NAICS/Industry Codes: 221115 Wind Electric Power Generation; NAICS/Industry Codes: 221114 Solar Electric Power Generation; NAICS/Industry Codes: 221113 Nuclear Electric Power Generation; NAICS/Industry Codes: 221111 Hydroelectric Power Generation; NAICS/Industry Codes: 221112 Fossil Fuel Electric Power Generation; Number of Pages: 24p; Document Type: Article</p>
N1 - <p>CODEN - DSSYDK</p>
N1 - <p>Copyright - Copyright Elsevier Sequoia S.A. Apr 2007</p>
N1 - <p>Last updated - 2014-05-25</p>
KW - Design
KW - Infrastructure
KW - Knowledge management
KW - Problem solving
KW - Decision making
KW - 9130:Experiment/theoretical treatment
KW - Studies
KW - 5240:Software & systems
KW - Decision support systems
KW - Models
KW - Computers--Automation
KW - Systems design
KW - Electric utilities
KW - Power resources
KW - Complex adaptive systems
KW - Electricity
KW - Wicked decisions
ER -
TY - JOUR
TI - Sustainability modelling and reporting: From roadmap to implementation
AU - Ahmed, M. Daud
AU - Sundaram, David
T2 - Decision Support Systems
AB - Sustainable business management aspires towards balancing and integrating social, economic and environmental dimensions. Existing roadmaps, frameworks and systems do not comprehensively support sustainable business transformation nor do they allow decision makers to explore interrelationships and influences between the sustainability dimensions. This leads to silo-based decision making where vision and strategies are not mapped to execution, and sustainability modelling and reporting processes are uncoordinated. This research proposes and implements a generic sustainable business transformation roadmap, which is supported by a framework and architecture for integrated sustainability modelling and reporting. The implementation leverages system dynamics, workflow modelling and adaptable system concepts.
DA - 2012/06/01/
PY - 2012
DO - 10.1016/j.dss.2012.02.004
VL - 53
IS - 3
SP - 611
EP - 624
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923612000620
KW - Sustainability
KW - Adaptive systems
KW - Business transformation roadmap
KW - Decision modelling
KW - DSS framework and architecture
KW - Sustainability modelling and reporting system
ER -
TY - JOUR
TI - Healthcare support for underserved communities using a mobile social media platform
AU - Miah, Shah Jahan
AU - Hasan, Najmul
AU - Hasan, Rashadul
AU - Gammack, John
T2 - Information Systems
AB - Emerging digital technologies for healthcare information support have already contributed to reducing the digital divide among rural communities. Although mobile health (m-health) applications facilitate provision of support for treatment consultation in real-time, their substantial potential has not yet been operationalised for decision support to meet citizen demand in developing nations. Modern healthcare information access, especially in rural areas of developing countries, is critical to effective healthcare, since both information and expert opinions are limited. Mobile phone and social media penetration, however, is often extensive. In this paper, we design and evaluate an innovative mobile decision support system (MDSS) solution for rural citizens healthcare decision support and information dissemination. Developed using a design science approach, the instantiated artifact connects underserved rural patients in Bangladesh to general practitioners (GPs) – allowing GPs, based on queries and information support provided, to evaluate patient conditions virtually and provide answers for further diagnosis or treatment. A cloud platform using social media embodies health record information and is used with a rating technique that matches queries to profiled remote experts, participating asynchronously. A comprehensive evaluation of the MDSS artifact ensures its utility, efficacy, and reliability.
DA - 2017/06/01/
PY - 2017
DO - 10.1016/j.is.2017.01.001
VL - 66
SP - 1
EP - 12
J2 - Information Systems
SN - 0306-4379
UR - http://www.sciencedirect.com/science/article/pii/S0306437917300029
N1 - <p>Accession Number: 123373902; Miah, Shah Jahan 1; Email Address: shah.miah@vu.edu.au Hasan, Najmul 2 Hasan, Rashadul 3 Gammack, John 4; Affiliation: 1: Information Systems Discipline, College of Business, Victoria University, Footscray Park Campus, Melbourne, Australia 2: MRC Bangladesh Ltd, Dhaka, Bangladesh 3: Brainstorm Bangladesh Ltd., Dhaka, Bangladesh 4: College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates; Source Info: Jun2017, Vol. 66, p1; Subject Term: SOCIAL media; Subject Term: MEDICAL care; Subject Term: DIGITAL technology; Subject Term: MEDICALLY underserved areas; Subject Term: WIRELESS communications in medical care; Author-Supplied Keyword: Decision support; Author-Supplied Keyword: Design science; Author-Supplied Keyword: Healthcare information; Author-Supplied Keyword: m-Health; Author-Supplied Keyword: Social media; Author-Supplied Keyword: Underserved citizens; Number of Pages: 12p; Document Type: Article</p>
KW - Social media
KW - Decision support
KW - Design science
KW - MEDICAL care
KW - SOCIAL media
KW - DIGITAL technology
KW - Healthcare information
KW - m-Health
KW - Underserved citizens
KW - MEDICALLY underserved areas
KW - WIRELESS communications in medical care
ER -
TY - JOUR
TI - Participatory implementation of an antibiotic stewardship programme supported by an innovative surveillance and clinical decision-support system
AU - Simões, A.S.
AU - Maia, M.R.
AU - Gregório, J.
AU - Couto, I.
AU - Asfeldt, A.M.
AU - Simonsen, G.S.
AU - Póvoa, P.
AU - Viveiros, M.
AU - Lapão, L.V.
T2 - Journal of Hospital Infection
AB - Summary
Background
Antibiotic resistance will cause about 10 million deaths per year by 2050. Fighting antimicrobial resistance is a health priority. Interventions aimed to reduce antimicrobial resistance, such as antibiotic stewardship programmes (ASPs), must be implemented. To be effective, those interventions, and the implementation process, should be matched with social–cultural context. The complexity of ASPs can no longer be developed without considering both organizational and information systems.
Aim
To support ASPs through the co-design and implementation, in collaboration with healthcare workers, of a surveillance and clinical decision-support system to monitor antibiotic resistance and improve antibiotic prescription.
Methods
The surveillance and clinical decision-support system was designed and implemented in three Portuguese hospitals, using a participatory approach between researchers and healthcare workers following the Design Science Research Methodology.
Findings
Based on healthcare workers' requirements, we developed HAITooL, a real-time surveillance and clinical decision-support system that integrates visualizations of patient, microbiology, and pharmacy data, facilitating clinical decision. HAITooL monitors antibiotic usage and rates of antibiotic-resistant bacteria, allowing early identification of outbreaks. It is a clinical decision-support tool that integrates evidence-based algorithms to support proper antibiotic prescription. HAITooL was considered valuable to support monitoring of antibiotic resistant infections and an important tool for ASP sustainability.
Conclusion
ASP implementation can be leveraged through a surveillance and clinical decision-support system such as HAITooL that allows antibiotic resistance monitoring and supports antibiotic prescription, once it has been adapted to the context and specific needs of healthcare workers and hospitals.
DA - 2018/11/01/
PY - 2018
DO - 10.1016/j.jhin.2018.07.034
VL - 100
IS - 3
SP - 257
EP - 264
J2 - Journal of Hospital Infection
SN - 0195-6701
UR - http://www.sciencedirect.com/science/article/pii/S0195670118303992
KW - Information systems
KW - Implementation
KW - Antibiotic stewardship programmes
KW - Antimicrobial resistance
KW - Clinical decision-support system
ER -
TY - JOUR
TI - A method for Smart Idea Allocation in crowd-based idea selection
AU - Banken, Victoria
AU - Ilmer, Quirin
AU - Seeber, Isabella
AU - Haeussler, Stefan
T2 - Decision Support Systems
AB - When evaluating ideas, raters can quickly experience cognitive overload that might result in poor selection performance. Contest managers have an interest in designing idea evaluation tasks that reduce the expected cognitive load of raters. However, research on how managers can meaningfully allocate ideas to raters to manage cognitive load is limited. Moreover, it is unclear how decision support (systems) should be designed in order to help managers to effectively allocate ideas. This paper addresses this challenge and suggests nine design principles and an approach for Smart Idea Allocation (SIA) as a design artifact, which chunks ideas into small subsets, utilizes cognitive biases, and fairly distributes expected cognitive load among raters. We evaluated the SIA approach on a sample of 525 ideas and compared its performance with a random allocation. Our findings suggest that SIA can utilize potential cognitive biases (salience, herding, and order and anchoring bias) more successfully than a random allocation would, distributes the expected cognitive load more fairly among raters, and requires fewer raters for the evaluation task than a random allocation approach. These findings have implications for research on idea selection and are useful for managers of innovation contests.
DA - 2019/09/01/
PY - 2019
DO - 10.1016/j.dss.2019.113072
VL - 124
SP - 113072
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923619301010
KW - Open innovation
KW - Design science
KW - Bin packing
KW - Crowd evaluation
KW - Idea contest
KW - Set partitioning
ER -
TY - JOUR
TI - A feedback control approach to maintain consumer information load in online shopping environments
AU - Krishen, Anjala S.
AU - Raschke, Robyn L.
AU - Kachroo, Pushkin
T2 - Information & Management
AB - The heterogeneity of e-commerce users requires online shopping environments to advance from a simple framework to one that is adaptive. This need results from the negative consequences of user frustration due to information load. We used a feedback control theory based approach to address the online consumer information overload issue in an adaptive manner. To demonstrate the efficacy of this feedback control approach, a design science method evaluated the feedback controller. The main effect was that the dynamic adaptivity did not have to rely on summarizing data for inference to the individual. The proposed feedback control design is therefore a robust and viable option for organizations to incorporate into their online shopping environments to accommodate user variation of information load for e-commerce adaptivity.
DA - 2011/12/01/
PY - 2011
DO - 10.1016/j.im.2011.09.005
VL - 48
IS - 8
SP - 344
EP - 352
J2 - Information & Management
SN - 0378-7206
UR - http://www.sciencedirect.com/science/article/pii/S0378720611000796
KW - Feedback control
KW - Consumer decision-making
KW - Adaptive DSS
KW - Consumer choice
KW - e-Commerce adaptive systems
KW - Information load
ER -
TY - JOUR
TI - Decision support systems for adoption in dental clinics: A survey
AU - Goh, Wee Pheng
AU - Tao, Xiaohui
AU - Zhang, Ji
AU - Yong, Jianming
T2 - Knowledge-Based Systems
AB - While most dental clinicians use some sort of information system, they are involved with administrative functions, despite the advisory potential of some of these systems. This paper outlines some current decision support systems (DSS) and the common barriers facing dentists in adopting them within their workflow. These barriers include lack of perceived usefulness, complicated social and economic factors, and the difficulty for users to interpret the advice given by the system. A survey of current systems found that although there are systems that suggest treatment options, there is no real-time integration with other knowledge bases. Additionally, advice on drug prescription at point-of-care is absent from such systems, which is a significant omission, in consideration of the fact that disease management and drug prescription are common in the workflow of a dentist. This paper also addresses future trends in the research and development of dental clinical DSS, with specific emphasis on big data, standards and privacy issues to fulfil the vision of a robust, user-friendly and scalable personalised DSS for dentists. The findings of this study will offer strategies in design, research and development of a DSS with sufficient perceived usefulness to attract adoption and integration by dentists within their routine clinical workflow, thus resulting in better health outcomes for patients and increased productivity for the clinic.
DA - 2016/07/15/
PY - 2016
DO - 10.1016/j.knosys.2016.04.022
VL - 104
SP - 195
EP - 206
J2 - Knowledge-Based Systems
SN - 0950-7051
UR - http://www.sciencedirect.com/science/article/pii/S0950705116300740
N1 - <p>Accession Number: 115492129; Goh, Wee Pheng 1 Tao, Xiaohui 1; Email Address: xtao@usq.edu.au Zhang, Ji 1 Yong, Jianming 2; Affiliation: 1: Faculty of Health, Engineering and Sciences, University of Southern Queensland, Australia 2: Faculty of Business, Education, Law and Arts, University of Southern Queensland, Australia; Source Info: Jul2016, Vol. 104, p195; Subject Term: DECISION support systems; Subject Term: DENTAL clinics; Subject Term: INFORMATION storage & retrieval systems; Subject Term: ECONOMIC impact; Subject Term: KNOWLEDGE management; Author-Supplied Keyword: Big data; Author-Supplied Keyword: Dental clinical decision support system; Author-Supplied Keyword: Dental HCI; Author-Supplied Keyword: Dental informatics; NAICS/Industry Codes: 621210 Offices of Dentists; Number of Pages: 12p; Document Type: Article</p>
KW - Big data
KW - Dental informatics
KW - INFORMATION storage & retrieval systems
KW - KNOWLEDGE management
KW - ECONOMIC impact
KW - DECISION support systems
KW - Dental clinical decision support system
KW - Dental HCI
KW - DENTAL clinics
ER -
TY - JOUR
TI - Enhancing manufacturing and transportation decision support systems with LCA add-ins
AU - Stiel, F.
AU - Michel, T.
AU - Teuteberg, F.
T2 - Special Volume: Improved resource efficiency and cascading utilisation of renewable materials
AB - The current life cycle assessment software landscape contributes not sufficiently to the dynamic behavior of manufacturing and transportation systems. This work presents a conceptual framework as well as conceptual software architecture to foster the integration of life cycle assessment software tools with dynamic manufacturing and transportation decision support tools. The results reveal interfaces and overlap between the existing life cycle assessment and decision support concepts as well as starting points to bridge this existing gap between static and dynamic approaches. In contrast to recent life cycle assessment approaches, mostly relying on static modeling concepts and calculation engines, the introduced software architecture is able to comprise dynamic modeling approaches and software engines within life cycle assessment. A descriptive case scenario suggests that the use of life cycle assessment add-ins for manufacturing and transportation decision support systems is capable to generate more valid environmental impact data compared to traditional life cycle assessment approaches. Moreover, a higher resolution of the generated data as well as a reduced modeling effort makes life cycle assessment add-ins desirable not only for the use within research but also for the use within manufacturing and transportation practice. Implementations and architectures will, however, need to be explored with more complex cases in manufacturing and transportation.
DA - 2016/01/01/
PY - 2016
DO - 10.1016/j.jclepro.2015.07.140
VL - 110
SP - 85
EP - 98
J2 - Journal of Cleaner Production
SN - 0959-6526
UR - http://www.sciencedirect.com/science/article/pii/S0959652615010719
KW - Decision support systems
KW - Design science
KW - Discrete-event simulation
KW - Life cycle assessment
ER -
TY - JOUR
TI - Towards ubiquitous information supply for individual investors: A decision support system design
AU - Muntermann, Jan
T2 - Decision Support Systems
AB - This paper introduces an IT artifact called MoFiN DSS that comprises hard- and software components that provide the basis for a prototype of a financial decision support system (DSS) to support individual investors reacting to unforeseen market events. We have derived our motivation for building such a system design from behavioral finance research. Analyses of the behavior of individual investors provide evidence that this segment does react more significantly to any public news published compared to institutional investors. On the other hand, the analyses show that they react significantly slower than their institutional counterparts. Since empirical intraday event study analyses show that capital markets react promptly to new information and that excess returns decrease over a specific period of time, individual investors miss significant trading opportunities due to their current strategies of information research. We address the problem that this market segment is not able to continuously observe diverse information channels and to assess all the new information available. Our prototype decision support system continuously observes company announcements and forecasts their potential impact on the corresponding stock price. After identifying those events for which significant market reactions can be expected, wireless push-based message services provide the technical basis for prompt and location-independent information supply. Based on a novel simulation-based evaluation methodology we have developed, we demonstrate and quantify the advantages that the developed system provides to the individual investors.
DA - 2009/05/01/
PY - 2009
DO - 10.1016/j.dss.2009.01.003
VL - 47
IS - 2
SP - 82
EP - 92
J2 - Decision Support Systems
SN - 0167-9236
UR - http://www.sciencedirect.com/science/article/pii/S0167923609000256
KW - Design science
KW - Financial decision support
KW - Ubiquitous information provisioning
ER -
TY - JOUR
TI - Knowledge level modeling for systemic risk management in financial institutions
AU - Ye, Kang
AU - Yan, Jiaqi
AU - Wang, Shanshan
AU - Wang, Huaiqing
AU - Miao, Baiqi
T2 - Expert Systems with Applications
AB - The current subprime mortgage crisis is a typical case for systemic risk in financial institutions. In order to further our understanding and communication about systemic risk management (SRM) in financial institutions, this paper proposes a knowledge level model (KLM) for systemic risk management in financial institutions. There are two parts considered in the proposed KLM: ontologies and problem solving method (PSM). Ontologies are adopted to represent a knowledge base of KLM, which integrates top level ontology and domain level ontologies. And then the problem solving method is given to show the reasoning process of this knowledge. The symbol level of KLM is also discussed which integrates OWL, SWRL and JESS. Further, the discussion about Lehman Brother’s Minibonds case in 2008 is provided to illustrate how proposed KLM is used in practice. With these, first, they will enhance the interchange of information and knowledge sharing for SRM within a financial institution. Second, they will assist knowledge base development for SRM design, for which a prototype of financial systemic risk management decision support system is given in this study. Third, they will support coordination among different institutions by using standardized vocabularies. And finally, from the design science perspective, the whole proposed framework could be meaningful to models in other domains.
DA - 2011/04/01/
PY - 2011
DO - 10.1016/j.eswa.2010.08.141
VL - 38
IS - 4
SP - 3528
EP - 3538
J2 - Expert Systems with Applications
SN - 0957-4174
UR - http://www.sciencedirect.com/science/article/pii/S0957417410009498
N1 - <p>Accession Number: 57080653; Ye, Kang 1; Email Address: ye.shaokang@gmail.com Yan, Jiaqi 2 Wang, Shanshan 3 Wang, Huaiqing 2 Miao, Baiqi 4; Affiliation: 1: Research Center, Shanghai Stock Exchange, 528 Pudong Road, Shanghai, 200120, China 2: Department of Information Systems, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 3: College of Computer Science, Inner Mongolia University, Inner Mongolia, China 4: Department of Finance and Statistics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, China; Source Info: Apr2011, Vol. 38 Issue 4, p3528; Subject Term: INTELLECTUAL development; Subject Term: RISK management in business; Subject Term: FINANCIAL institutions; Subject Term: SUBPRIME mortgages; Subject Term: PROBLEM solving; Subject Term: INFORMATION sharing; Author-Supplied Keyword: Knowledge level modeling; Author-Supplied Keyword: Ontology; Author-Supplied Keyword: Problem solving model; Author-Supplied Keyword: Subprime crisis; Author-Supplied Keyword: Systemic risk; Company/Entity: LEHMAN Brothers Inc.; NAICS/Industry Codes: 522291 Consumer Lending; Number of Pages: 11p; Document Type: Article</p>
KW - Ontology
KW - PROBLEM solving
KW - INFORMATION sharing
KW - Knowledge level modeling
KW - Problem solving model
KW - Subprime crisis
KW - Systemic risk
KW - FINANCIAL institutions
KW - INTELLECTUAL development
KW - LEHMAN Brothers Inc.
KW - RISK management in business
KW - SUBPRIME mortgages
ER -
TY - JOUR
TI - A Metadesign Theory for Tailorable Decision Support
AU - Miah, Shah Jahan
AU - Gammack, John G
AU - McKay, Judy
T2 - Journal of the Association for Information Systems
AB - Despite years of decision support systems (DSS) research, DSS artifacts are frequently criticized for lacking practitioner relevance and for neglecting configurability and contextual dynamism. Tailoring in end-user contexts can produce relevant emergent DSS artifacts, but design theory for this is lacking. Design science research (DSR) has important implications for improving DSS uptake, but generally this has not been promoted in the form of metadesigns with design principles applicable to other DSS developments. This paper describes a metadesign theory for tailorable DSS, generated through action design research studies in different primary industries. Design knowledge from a DSS developed in an agricultural domain was distilled and generalized into a design theory comprising: (1) a general solution concept (metadesign), and (2) five hypothesized design principles. These were then instantiated via a second development in which the metadesign and design principles were applied in a different domain (forestry) to produce a successful DSS, thus testing the metadesign and validating the design principles. In addition to contributing to DSR and illustrating innovation in tailorable technology, the paper demonstrates the utility of action design research to support theory development in DSS design.
DA - 2019///
PY - 2019
DO - 10.17705/1jais.00544
VL - 20
IS - 5
SP - 570
EP - 603
LA - English
SN - 15369323
UR - https://search.proquest.com/docview/2250950715?accountid=10218
AN - 2250950715
DB - ABI/INFORM Collection
L2 - https://aisel.aisnet.org/jais/vol20/iss5/4/
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=A+Metadesign+Theory+for+Tailorable+Decision+Support&title=Journal+of+the+Association+for+Information+Systems&issn=15369323&date=2019-01-01&volume=20&issue=5&spage=570&au=Miah%2C+Shah+Jahan%3BGammack%2C+John+G%3BMcKay%2C+Judy&isbn=&jtitle=Journal+of+the+Association+for+Information+Systems&btitle=&rft_id=info:eric/&rft_id=info:doi/10.17705%2F1jais.00544
N1 - <p>Accession Number: 136761682; Miah, Shah Jahan 1; Email Address: shah.miah@vu.edu.au; Gammack, John G. 2; Email Address: john.gammack@gmail.com; McKay, Judy 3; Email Address: jmckay@swin.edu.au; Affiliations: 1: Victoria University, Australia; 2: Zayed University, United Arab Emirates; 3: Swinburne University of Technology, Australia; Issue Info: 2019, Vol. 20 Issue 5, p570; Thesaurus Term: Decision theory; Thesaurus Term: Decision support systems; Thesaurus Term: Design science; Subject Term: Design research; Author-Supplied Keyword: Action Design Research; Author-Supplied Keyword: Decision Support Systems; Author-Supplied Keyword: Design principles; Author-Supplied Keyword: Design Science Research; Author-Supplied Keyword: Instantiation Validity; Author-Supplied Keyword: Metadesign; Author-Supplied Keyword: Tailorable Design; Number of Pages: 34p; Illustrations: 6 Diagrams, 7 Charts; Document Type: Article</p>
N1 - <p>Copyright - Copyright Association for Information Systems 2019</p>
N1 - <p>Last updated - 2019-08-02</p>
N1 - <p>SubjectsTermNotLitGenreText - Hawaii</p>
KW - Design
KW - Information systems
KW - Decision support systems
KW - Design science
KW - Science
KW - Decision theory
KW - Design research
KW - Computers--Information Science And Information Theory
KW - Design principles
KW - Principles
KW - Artifacts
KW - Action Design Research
KW - Design Science Research
KW - Metadesign
KW - Forestry
KW - Hawaii
KW - Knowledge based engineering
KW - Decision Support Systems
KW - Instantiation Validity
KW - Tailorable Design
ER -
TY - JOUR
TI - Evaluation Tool for Business Success
AU - Miguel Ramirez de la Huerga
AU - Bañuls Silvera, Víctor A
AU - Turoff, Murray
AU - Manuel Rincón Roldan
T2 - IDEAS Working Paper Series from RePEc
AB - This paper describes the construction of a tool supporting decision making (DSS). The name of the tool ‘’CIBSE’’, comes from the acronym CIA-ISM for Business Success Evaluation, and it evaluates the success rate of entrepreneurial ideas by analyzing the previously modified Business Model Canvas (BMC). Modified Business Model Canvas include financial and no financial dimensions as a way to extend the original BMC. In order to analyze data, a model based on CIA-ISM is used to evaluate scenarios, and it enables the estimation of direct, indirect and cascading effects interrelationships between all dimensions to calculate an indicator of success. Moreover, this tool is able to identify weak and strong points of BMC, which will help to attain the survival goal of undertaking by reducing the level of uncertainty, or in other words, by reducing risk. Paradigm of Design Science has been used as a point of reference to design this tool, along the seven guidelines stated from the conceptualization of goal to the dissemination of results. Although this study is focused on regional context, it is associated with a project of public services of the 4th biggest region of the EU regarding the population size, as well as the 6th biggest region regarding its extent. This approach allows direct access, as well as a privileged access to data, technical resources and professionals to develop the model, tool and perform further validation having data of real projects.
DA - 2019///
PY - 2019
LA - English
UR - https://search.proquest.com/docview/2230000350?accountid=10218
AN - 2230000350
DB - ABI/INFORM Collection
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=preprint&sid=ProQ:ProQ%3Aabiglobal&atitle=Evaluation+Tool+for+Business+Success&title=IDEAS+Working+Paper+Series+from+RePEc&issn=&date=2019-01-01&volume=&issue=&spage=&au=Miguel+Ramirez+de+la+Huerga%3BBa%C3%B1uls+Silvera%2C+V%C3%ADctor+A%3BTuroff%2C+Murray%3BManuel+Rinc%C3%B3n+Roldan&isbn=&jtitle=IDEAS+Working+Paper+Series+from+RePEc&btitle=&rft_id=info:eric/&rft_id=info:doi/
L2 - https://ideas.repec.org/p/pab/wpboam/19.01.html
N1 - <p>Copyright - (c) 2019. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://research.stlouisfed.org/research_terms.html .</p>
N1 - <p>Last updated - 2019-05-26</p>
N1 - <p>Name - Central Intelligence Agency--CIA</p>
KW - Business models
KW - Success
KW - Business And Economics
ER -
TY - JOUR
TI - Ontology-based information security compliance determination and control selection on the example of ISO 27002
AU - Fenz, Stefan
AU - Neubauer, Thomas
T2 - Information and Computer Security
AB - PurposeThe purpose of this paper is to provide a method to formalize information security control descriptions and a decision support system increasing the automation level and, therefore, the cost efficiency of the information security compliance checking process. The authors advanced the state-of-the-art by developing and applying the method to ISO 27002 information security controls and by developing a semantic decision support system.Design/methodology/approachThe research has been conducted under design science principles. The formalized information security controls were used in a compliance/risk management decision support system which has been evaluated with experts and end-users in real-world environments.FindingsThere are different ways of obtaining compliance to information security standards. For example, by implementing countermeasures of different quality depending on the protection needs of the organization. The authors developed decision support mechanisms which use the formal control descriptions as input to support the decision-maker at identifying the most appropriate countermeasure strategy based on cost and risk reduction potential.Originality/valueFormalizing and mapping the ISO 27002 controls to the security ontology enabled the authors to automatically determine the compliance status and organization-wide risk-level based on the formal control descriptions and the modelled environment, including organizational structures, IT infrastructure, available countermeasures, etc. Furthermore, it allowed them to automatically determine which countermeasures are missing to ensure compliance and to decrease the risk to an acceptable level.
DA - 2018///
PY - 2018
DO - 10.1108/ICS-02-2018-0020
VL - 26
IS - 5
SP - 551
EP - 567
LA - English
SN - 20564961
UR - https://search.proquest.com/docview/2136546761?accountid=10218
AN - 2136546761
DB - ABI/INFORM Collection
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=Ontology-based+information+security+compliance+determination+and+control+selection+on+the+example+of+ISO+27002&title=Information+and+Computer+Security&issn=20564961&date=2018-10-20&volume=26&issue=5&spage=551&au=Fenz%2C+Stefan%3BNeubauer%2C+Thomas&isbn=&jtitle=Information+and+Computer+Security&btitle=&rft_id=info:eric/&rft_id=info:doi/10.1108%2FICS-02-2018-0020
N1 - <p>Copyright - © 2018. This work is published under http://creativecommons.org/licences/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</p>
N1 - <p>Last updated - 2019-09-06</p>
KW - Risk
KW - Ontology
KW - Automation
KW - Software
KW - Computer security
KW - Business And Economics--Management
KW - Decision support systems
KW - Security management
KW - security
KW - Organizations
KW - Risk management
KW - Organizational aspects
KW - Compliance
KW - Descriptions
KW - Environmental engineering
KW - State of the art
ER -
TY - JOUR
TI - Design principles for a hybrid intelligence decision support system for business model validation
AU - Dellermann, Dominik
AU - Lipusch, Nikolaus
AU - Ebel, Philipp
AU - Jan Marco Leimeister
T2 - Electronic Markets
AB - One of the most critical tasks for startups is to validate their business model. Therefore, entrepreneurs try to collect information such as feedback from other actors to assess the validity of their assumptions and make decisions. However, previous work on decisional guidance for business model validation provides no solution for the highly uncertain and complex context of early-stage startups. The purpose of this paper is, thus, to develop design principles for a Hybrid Intelligence decision support system (HI-DSS) that combines the complementary capabilities of human and machine intelligence. We follow a design science research approach to design a prototype artifact and a set of design principles. Our study provides prescriptive knowledge for HI-DSS and contributes to previous work on decision support for business models, the applications of complementary strengths of humans and machines for making decisions, and support systems for extremely uncertain decision-making problems.
DA - 2018/08//
PY - 2018
DO - 10.1007/s12525-018-0309-2
SP - 1
EP - 19
LA - English
SN - 10196781
UR - https://search.proquest.com/docview/2084103656?accountid=10218
AN - 2084103656
DB - ABI/INFORM Collection; International Bibliography of the Social Sciences (IBSS)
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=Design+principles+for+a+hybrid+intelligence+decision+support+system+for+business+model+validation&title=Electronic+Markets&issn=10196781&date=2018-08-01&volume=&issue=&spage=1&au=Dellermann%2C+Dominik%3BLipusch%2C+Nikolaus%3BEbel%2C+Philipp%3BJan+Marco+Leimeister&isbn=&jtitle=Electronic+Markets&btitle=&rft_id=info:eric/&rft_id=info:doi/10.1007%2Fs12525-018-0309-2
N1 - <p>Copyright - Electronic Markets is a copyright of Springer, (2018). All Rights Reserved.</p>
N1 - <p>Last updated - 2019-04-24</p>
KW - Decision support system
KW - Machine learning
KW - Decision making
KW - Studies
KW - Decision support systems
KW - Business And Economics--Computer Applications
KW - Information technology
KW - Electronic commerce
KW - Collective intelligence
KW - Business
KW - Business model
KW - D81
KW - Hybrid intelligence
KW - Hybrid systems
KW - Startups
ER -
TY - JOUR
TI - Innovative decision support for IT service management
AU - Shrestha, Anup
AU - Cater-Steel, Aileen
AU - Toleman, Mark
T2 - Journal of Decision Systems
AB - The IT Service Management (ITSM) industry has defined processes as best practices in the widely-accepted IT Infrastructure Library (ITIL®) framework. However, there are few tools available to provide decision support to IT Service Managers who wish to improve service management processes. It is essential to assess the current capability of processes before process improvements are planned. Our research addressed the problems of the lack of transparency and the need for efficiency in ITSM process assessment. Using the Design Science Research methodology, we developed an innovative Software-mediated Process Assessment (SMPA) approach that automates assessment of ITSM processes and supports the decision-making of IT Service Managers. The SMPA approach includes process selection, an online survey to collect assessment data, measurement of process capability and specific recommendations for managers to commence process improvement. We implemented a decision support system (DSS) to automate the SMPA approach and evaluated it at two IT service providers. The evaluations indicated that the SMPA approach supports decision-making on process improvements. In the future, data analytics performed on the assessment data can help IT managers to analyse and visualise the 'big data' of process knowledge.
DA - 2016///
PY - 2016
DO - 10.1080/12460125.2016.1187424
VL - 25
SP - 486
EP - 499
LA - English
SN - 12460125
UR - https://search.proquest.com/docview/2235023809?accountid=10218
AN - 2235023809
DB - ABI/INFORM Collection
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=Innovative+decision+support+for+IT+service+management&title=Journal+of+Decision+Systems&issn=12460125&date=2016-06-01&volume=25&issue=&spage=486&au=Shrestha%2C+Anup%3BCater-Steel%2C+Aileen%3BToleman%2C+Mark&isbn=&jtitle=Journal+of+Decision+Systems&btitle=&rft_id=info:eric/&rft_id=info:doi/10.1080%2F12460125.2016.1187424
N1 - <p>Accession Number: 116193235; Shrestha, Anup 1; Cater-Steel, Aileen 1; Toleman, Mark 1; Affiliations: 1: School of Management & Enterprise, University of Southern Queensland, Toowoomba, Australia; Issue Info: Jun2016 Supplement, Vol. 25, p486; Thesaurus Term: Information technology management; Thesaurus Term: Decision support systems; Thesaurus Term: Design science; Author-Supplied Keyword: decision support system; Author-Supplied Keyword: design science research method; Author-Supplied Keyword: IT service management; Author-Supplied Keyword: process assessment; Number of Pages: 14p; Document Type: Article</p>
N1 - <p>Copyright - Copyright Taylor & Francis Ltd. 2016</p>
N1 - <p>Last updated - 2019-06-26</p>
N1 - <p>Name - IT Infrastructure Library; Renault SA</p>
N1 - <p>SubjectsTermNotLitGenreText - Germany; United Kingdom--UK</p>
KW - Quality management
KW - Automation
KW - Software
KW - Information systems
KW - Methods
KW - Decision making
KW - Decision support systems
KW - Design science
KW - Information technology management
KW - Quality of service
KW - Analytics
KW - Literature reviews
KW - Research methodology
KW - Quality standards
KW - Process management
KW - Innovations
KW - Germany
KW - United Kingdom--UK
KW - Computers--Computer Systems
KW - IT service management
KW - design science research method
KW - Decision analysis
KW - decision support system
KW - Process selection
KW - Self evaluation
KW - process assessment
ER -
TY - THES
TI - A decision model for e-procurement decision support systems for the public sector using multi-criteria decision analysis
AU - Adil, Mohamed
AB - This PhD research aims to identify, analyse and evaluate a decision model for an e-procurement Decision Support System (DSS) for the public sector in Maldives, especially focusing on the Education Sector. The DSS uses Multi-Criteria Decision Analysis (MCDA) to evaluate procurement alternatives. The features and characteristics of public sector procurement are based on major public sector principles, such as non-discrimination, equality, transparency and proportionality. This results in an organised step-by-step procedure for public sector procurement. However, this research focuses only on decisions that are based on the performances of the suppliers against a pre-set list of criteria where MCDA is applied to the evaluation. This research studied the applicability of a comprehensive set of published MCDA methods identified in the literature to the problem context. The MCDA methods used in this research involves linear weighting methods, single synthesising criterion or utility theory, outranking methods, fuzzy methods and mixed methods. This research adopted the Design Science Research (DSR) methodology, which is intended to design an artefact. The artefact in this case is the decision model. The methodology provides the artefact, explains how to use it, and how to evaluate the artefact. As these three components are of prime importance for the research project, DSR is chosen. The methodology follows a set of specific guidelines provided by Information Systems (IS) research scholars for such IS research projects. To support the process steps of the research project, literature reviews of public sector procurement and MCDA were undertaken, field research of focus groups was carried out, and selected documented data on procurement evaluations were collected for performance analysis of the MCDA methods in context. The first part of the literature review provided the requirements and constraints of the public sector procurement in general and specifically in relation to Maldivian public sector. The second part of the literature review identified MCDA methods and their procedures and characteristics. The focus group discussions were conducted with public sector procurement evaluation officials of selected education institutions, to identify operational constraints and requirements of the procurement. Criteria-based evaluation was conducted on the characteristics of MCDA methods compared to the public sector requirements gathered through literature review and focus groups. This analysis was to identify the applicable MCDA methods based on public sector requirements. The analysis filtered only two applicable methods namely, TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and COPRAS (COmplex PRoportional ASsessment). Finally, performance analysis was done on the two methods by applying real life procurement data collected from selected public sector institutions. Congruence/incongruence analysis, variance analysis, stability analysis and MCDA were performed based on the results of the two methods, with real life data. The performance analysis shows TOPSIS having higher variance and stability over COPRAS. However, congruence/incongruence analysis was inconclusive. Based on the results of criteria-based evaluation and performance analysis, MCDA was applied on TOPSIS and COPRAS. The current public sector procurement evaluation method, weighted sum and the two filtered methods are used for MCDA on TOPSIS and COPRAS. The MCDA also resulted in favour of TOPSIS. Therefore, based on this research, the recommended decision model for the public sector e-procurement DSS for the Maldivian context is TOPSIS. The major research outputs are the identification of public sector requirements in context, the characteristics of the majority of MCDA methods in context, and strengths of performance of TOPSIS and COPRAS. In addition, the research identified the suitable decision model for the context, a theory of use of it in the context of the Public Sector of the Maldives and a framework to identify and evaluate the decision model.
CY - Ann Arbor
DA - 2015///
PY - 2015
LA - English
M3 - Ph.D.
PB - University of Sheffield (United Kingdom)
UR - https://search.proquest.com/docview/1784060404?accountid=10218
AN - 1784060404
DB - ProQuest Dissertations & Theses A&I
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&genre=dissertations+%26+theses&sid=ProQ:ProQuest+Dissertations+%26+Theses+A%26I&atitle=&title=A+decision+model+for+e-procurement+decision+support+systems+for+the+public+sector+using+multi-criteria+decision+analysis&issn=&date=2015-01-01&volume=&issue=&spage=&au=Adil%2C+Mohamed&isbn=&jtitle=&btitle=&rft_id=info:eric/&rft_id=info:doi/
N1 - <p>Analyte descriptor - Bibliographic information obtained from the British Library.</p>
N1 - <p>Copyright - Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.</p>
N1 - <p>Last updated - 2016-10-10</p>
KW - Social sciences
KW - (UMI)AAI10074243
KW - 9998:No UMI subject assigned
KW - http://etheses.whiterose.ac.uk/7796/
KW - No UMI subject assigned
KW - Psychology--Abstracting, Bibliographies, Statistics
ER -
TY - THES
TI - A standards-based ict framework to enable a service-oriented approach to clinical decision support
AU - Rodríguez Loya, Salvador
AB - This research provides evidence that standards based Clinical Decision Support (CDS) at the point of care is an essential ingredient of electronic healthcare service delivery. A Service Oriented Architecture (SOA) based solution is explored, that serves as a task management system to coordinate complex distributed and disparate IT systems, processes and resources (human and computer) to provide standards based CDS. This research offers a solution to the challenges in implementing computerised CDS such as integration with heterogeneous legacy systems. Reuse of components and services to reduce costs and save time. The benefits of a sharable CDS service that can be reused by different healthcare practitioners to provide collaborative patient care is demonstrated. This solution provides orchestration among different services by extracting data from sources like patient databases, clinical knowledge bases and evidence-based clinical guidelines (CGs) in order to facilitate multiple CDS requests coming from different healthcare settings. This architecture aims to aid users at different levels of Healthcare Delivery Organizations (HCOs) to maintain a CDS repository, along with monitoring and managing services, thus enabling transparency. The research employs the Design Science research methodology (DSRM) combined with The Open Group Architecture Framework (TOGAF), an open source group initiative for Enterprise Architecture Framework (EAF). DSRM's iterative capability addresses the rapidly evolving nature of workflows in healthcare. This SOA based solution uses standards-based open source technologies and platforms, the latest healthcare standards by HL7 and OMG, Decision Support Service (DSS) and Retrieve, Update Locate Service (RLUS) standard. Combining business process management (BPM) technologies, business rules with SOA ensures the HCO's capability to manage its processes. This architectural solution is evaluated by successfully implementing evidence based CGs at the point of care in areas such as; a) Diagnostics (Chronic Obstructive Disease), b) Urgent Referral (Lung Cancer), c) Genome testing and integration with CDS in screening (Lynch's syndrome). In addition to medical care, the CDS solution can benefit organizational processes for collaborative care delivery by connecting patients, physicians and other associated members. This framework facilitates integration of different types of CDS ideal for the different healthcare processes, enabling sharable CDS capabilities within and across organizations.
CY - Ann Arbor
DA - 2015///
PY - 2015
LA - EN
M3 - Ph.D.
PB - University of Sussex (United Kingdom)
UR - https://search.proquest.com/docview/1779542616?accountid=10218
AN - 1779542616
DB - ProQuest Dissertations & Theses A&I
L2 - https://www.ub.uni-koeln.de/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&genre=dissertations+%26+theses&sid=ProQ:ProQuest+Dissertations+%26+Theses+A%26I&atitle=&title=A+standards-based+ict+framework+to+enable+a+service-oriented+approach+to+clinical+decision+support&issn=&date=2015-01-01&volume=&issue=&spage=&au=Rodr%C3%ADguez+Loya%2C+Salvador&isbn=&jtitle=&btitle=&rft_id=info:eric/&rft_id=info:doi/
N1 - <p>Analyte descriptor - Bibliographic information obtained from the British Library.</p>
N1 - <p>Copyright - Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.</p>
N1 - <p>Last updated - 2019-05-28</p>
KW - Social sciences
KW - Psychology--Abstracting, Bibliographies, Statistics
KW - (UMI)AAI10090420
KW - 9998:No ProQuest subject assigned
KW - http://sro.sussex.ac.uk/id/eprint/53243/
KW - No ProQuest subject assigned
ER -
TY - THES
TI - Am I safe?: A Personal Safety Multicriteria Spatial Decision Support System.
AU - Gutierrez, Juliette
AB - Risk is the potential that a chosen action or inaction will lead to a loss or undesirable outcome. Research shows that being in the vicinity of certain types of facilities is riskier than with other types of facilities. Using a design science approach, the purpose of this study is to investigate how violent crime data containing time and address in combination with facility address data can be used to derive a Personal Safety Multicriteria Spatial Decision Support System to calculate a personal risk score relative to a location, date and time. Facility address data on businesses that sell alcohol, Automated Teller Machines (ATMs), shopping centers and high schools will be used in this study. A Multicriteria Evaluation Function was developed to calculate a personal risk score by combining violent crime data with multiple facility datasets. These datasets were evaluated with multiple analysis methods to derive a personal risk scale which is a range of values between a minimum and maximum personal risk score. The Multicriteria Evaluation Function was validated using historic multi-year crime data. The value of the personal risk score is calculated to be greater than or equal to the midpoint value on the personal risk scale. Findings indicate that a Multicriteria Evaluation Function, as part of a Multicriteria Spatial Decision Support System, can be a valid means for identifying personal risk as 89% of the test crime dataset have personal risk scores above the midpoint of the personal risk scale. Copies of dissertations may be obtained by addressing your request to ProQuest, 789 E. Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106-1346. Telephone 1-800-521-3042; e-mail: disspub@umi.com
LA - English
UR - https://search.proquest.com/docview/1692290928?accountid=10218