Perceived effectiveness of environmental decision support systems in participatory planning: Evidence from small groups of end-users

The challenges associated with evaluating the effectiveness of environmental decision support systems (EDSS) based on the perceptions of only a small sample of end-users are well understood. Although methods adopted from Management Information Systems (MISs) evaluation research have benefited from relatively large (100+) sample sizes, permitting the use of multi-criteria analysis of users perceptions, there are few examples of methods for quantifying effectiveness based on smaller groups of end-users. Use of environmental decision support systems in Integrated Water Resources Management (IWRM) has become increasingly prevalent over the passed twenty years, where their potential for facilitating the participatory process has been recognised; however, few quantitative assessments have been reported. This paper reports the application of a quantitative approach to evaluating environmental decision support systems with small groups of end-users in two case studies where the objective was to facilitate the participatory decision-making process in water management projects. The first case study involved nine end-users applying and evaluating a Bayesian network-based tool to facilitate water demand management implementation in Sofia, the capital city of Bulgaria. The second involved eleven end-users applying and evaluating an integrated tool - the Integrated Solution Support System (I3S) - during a water stress mitigation project in a European context. End-users' perceptions of effectiveness were elicited and compared using statistical analysis. The results of the two case studies suggest that end-user's employment influences their perceptions of EDSS effectiveness. We also show how the applied evaluation method is flexible enough to assess different EDSS types from a range of dimensions.

[1]  Michael J. Ginzberg,et al.  Finding an adequate measure of or/ms effectiveness , 1978 .

[2]  D. Silverman Interpreting Qualitative Data , 1993 .

[3]  Paul Jeffrey,et al.  Elicitation of expert knowledge to develop decision support tools for use in water demand management planning , 2007 .

[4]  Steven M. Shugan The Cost Of Thinking , 1980 .

[5]  Dane K. Peterson,et al.  Confidence, uncertainty, and the use of information , 1988 .

[6]  Michiel Blind,et al.  Integrated Solution Support System for Water Management , 2008 .

[7]  S. Kuikka,et al.  Modeling environmentally driven uncertainties in Baltic cod (Gadus morhua) management by Bayesian influence diagrams , 1999 .

[8]  Warren W. Wood,et al.  Water Resources Perspectives: Evaluation, Management and Policy , 2011 .

[9]  Laura Uusitalo,et al.  Advantages and challenges of Bayesian networks in environmental modelling , 2007 .

[10]  Heidi Christiansen Barlebo,et al.  Reflections on the use of Bayesian belief networks for adaptive management. , 2008, Journal of environmental management.

[11]  James F. Courtney,et al.  A Field Study of Organizational Factors Influencing DSS Success , 1985, MIS Q..

[12]  Stephen J. Toope,et al.  Managing and allocating water resources: Adopting the integrated water resource management approach , 2003 .

[13]  Eric J. Johnson,et al.  A componential analysis of cognitive effort in choice , 1990 .

[14]  Jeffrey E. Kottemann,et al.  User acceptance of multi-criteria decision support systems: The impact of preference elicitation techniques , 2006, Eur. J. Oper. Res..

[15]  Paul Jeffrey,et al.  A Conceptual Model of ‘Receptivity’ Applied to the Design and Deployment of Water Policy Mechanisms , 2004 .

[16]  Said S. Al-Gahtani,et al.  Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology , 1999, Behav. Inf. Technol..

[17]  Victoria J. Marsick,et al.  Organization Questionnaire Demonstrating the Value of an Organization's Learning Culture: The Dimensions of the Learning , 2010 .

[18]  Ralph H. Sprague,et al.  Building Effective Decision Support Systems , 1982 .

[19]  Leonard Adelman,et al.  Evaluating decision support and expert systems , 1991 .

[20]  Andrea Castelletti,et al.  Coupling real-time control and socio-economic issues in participatory river basin planning , 2007, Environ. Model. Softw..

[21]  Tim Oxley,et al.  Integrated modelling and decision-support tools: a Mediterranean example , 2004, Environ. Model. Softw..

[22]  J. Morse Interpreting qualitative data: Methods for analysing talk, text and interaction , 1996 .

[23]  Rebecca A. Kelly,et al.  Integration modelling and decision support: A case study of the Coastal Lake Assessment and Management (CLAM) Tool , 2008, Math. Comput. Simul..

[24]  Gemma M. Welsch,et al.  The information transfer specialist in successful implementation of decision support systems , 1986, DATB.

[25]  Ananth Srinivasan,et al.  Alternative Measures of Systems Effectiveness: Associations and Implications , 1985, MIS Q..

[26]  B. Marcot,et al.  Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement , 2001 .

[27]  Jeffrey E. Kottemann,et al.  Decisional Conflict and User Acceptance of Multicriteria Decision-Making Aids , 1991 .

[28]  H. Würbel,et al.  Age and weight at weaning affect corticosterone level and development of stereotypies in ICR-mice , 1997, Animal Behaviour.

[29]  G. Reeder,et al.  Inferences about Effort and Ability , 2001 .

[30]  M. Scholten Conflict-mediated choice , 2002 .

[31]  Sakari Kuikka,et al.  Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management , 1999 .

[32]  A. Ubbels,et al.  Suitability of decision support tools for collaborative planning processes in water resources management , 2000 .

[33]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[34]  George M. Kasper,et al.  A process-oriented method for the evaluation of decision support system generators , 1990, Inf. Manag..

[35]  J. Bromley,et al.  The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning , 2005, Environ. Model. Softw..

[36]  Brian S. McIntosh,et al.  Tools to think with? Towards understanding the use of computer-based support tools in policy relevant research , 2007, Environ. Model. Softw..

[37]  Virginia H. Dale,et al.  Tools to Aid Environmental Decision Making , 2012 .

[38]  M. F. Luce,et al.  Emotional Trade-Off Difficulty and Choice: , 1999 .

[39]  Timothy B. Heath,et al.  Conflict and Loss Aversion in Multiattribute Choice: The Effects of Trade-Off Size and Reference Dependence on Decision Difficulty☆ , 1996 .

[40]  Ramon J. Aldag,et al.  Decision Making: A Psychological Analysis of Conflict , 1980 .

[41]  Sakari Kuikka,et al.  Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge , 2005 .

[42]  F. Betz Handbook of Research Methods , 2011 .

[43]  I. Janis,et al.  Decision Making: A Psychological Analysis of Conflict, Choice, and Commitment , 1977 .