Subjects -> BUSINESS AND ECONOMICS (Total: 3530 journals)
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HUMAN RESOURCES (103 journals)                     

Showing 1 - 92 of 92 Journals sorted by number of followers
Asia Pacific Journal of Human Resources     Hybrid Journal   (Followers: 224)
Human Resource Management     Hybrid Journal   (Followers: 76)
Organizational Behavior and Human Decision Processes     Hybrid Journal   (Followers: 74)
Human Resource Management Journal     Hybrid Journal   (Followers: 72)
Human Relations     Hybrid Journal   (Followers: 61)
Human Resource Management Review     Hybrid Journal   (Followers: 60)
International Journal of Human Resource Management     Hybrid Journal   (Followers: 52)
Annual Review of Organizational Psychology and Organizational Behavior     Full-text available via subscription   (Followers: 50)
Journal of Accounting and Economics     Hybrid Journal   (Followers: 45)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 43)
Contemporary Accounting Research     Full-text available via subscription   (Followers: 34)
Journal of Accounting Research     Hybrid Journal   (Followers: 34)
Human Resource Development Quarterly     Hybrid Journal   (Followers: 29)
Review of Accounting Studies     Hybrid Journal   (Followers: 28)
Accounting Auditing & Accountability Journal     Hybrid Journal   (Followers: 26)
Human Resource Development Review     Hybrid Journal   (Followers: 26)
Advances in Developing Human Resources     Hybrid Journal   (Followers: 25)
Personality and Individual Differences     Hybrid Journal   (Followers: 25)
Accounting Forum     Hybrid Journal   (Followers: 23)
International Journal of Human Resources Development and Management     Hybrid Journal   (Followers: 23)
American Journal of Finance and Accounting     Hybrid Journal   (Followers: 23)
Accounting and Business Research     Hybrid Journal   (Followers: 22)
Journal of Human Development and Capabilities : A Multi-Disciplinary Journal for People-Centered Development     Hybrid Journal   (Followers: 22)
European Accounting Review     Hybrid Journal   (Followers: 20)
Human Resource Management Research     Open Access   (Followers: 19)
Human Resource Development International     Hybrid Journal   (Followers: 19)
Open Journal of Leadership     Open Access   (Followers: 18)
International Journal of Accounting and Finance     Hybrid Journal   (Followers: 17)
Personnel Review     Hybrid Journal   (Followers: 16)
Critical Perspectives on Accounting     Hybrid Journal   (Followers: 16)
Accounting Education: An International Journal     Hybrid Journal   (Followers: 16)
International Journal of Banking, Accounting and Finance     Hybrid Journal   (Followers: 15)
European Journal of Training and Development     Hybrid Journal   (Followers: 14)
International Journal of Management Development     Hybrid Journal   (Followers: 13)
Public Personnel Management     Hybrid Journal   (Followers: 13)
Review of Public Personnel Administration     Hybrid Journal   (Followers: 13)
International Journal of Human Resource Studies     Open Access   (Followers: 13)
British Accounting Review     Hybrid Journal   (Followers: 12)
Advances in Accounting     Hybrid Journal   (Followers: 11)
New Horizons in Adult Education and Human Resource Development     Hybrid Journal   (Followers: 11)
International Journal of Management Education     Hybrid Journal   (Followers: 11)
Journal of Human Capital     Full-text available via subscription   (Followers: 11)
International Journal of Behavioural Accounting and Finance     Hybrid Journal   (Followers: 11)
Review of Quantitative Finance and Accounting     Hybrid Journal   (Followers: 10)
International Journal of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 9)
Journal of Accounting and Public Policy     Hybrid Journal   (Followers: 7)
Journal of Accounting Education     Hybrid Journal   (Followers: 7)
Qualitative Research in Accounting & Management     Hybrid Journal   (Followers: 7)
Human Resource and Organization Development Journal     Open Access   (Followers: 7)
Attachment & Human Development     Hybrid Journal   (Followers: 7)
Strategic HR Review     Hybrid Journal   (Followers: 6)
Journal of Service Management     Hybrid Journal   (Followers: 6)
Journal of Human Resource Costing & Accounting     Hybrid Journal   (Followers: 6)
German Journal of Human Resource Management     Hybrid Journal   (Followers: 5)
Journal of Organizational Effectiveness : People and Performance     Hybrid Journal   (Followers: 5)
Journal of Human Values     Hybrid Journal   (Followers: 5)
Journal of Professions and Organization     Free   (Followers: 5)
Journal of International Accounting, Auditing and Taxation     Hybrid Journal   (Followers: 5)
Research in Human Development     Hybrid Journal   (Followers: 5)
Afro-Asian Journal of Finance and Accounting     Hybrid Journal   (Followers: 5)
Journal of Contemporary Accounting & Economics     Hybrid Journal   (Followers: 4)
Coaching : Theorie & Praxis     Open Access   (Followers: 4)
South Asian Journal of Human Resources Management     Full-text available via subscription   (Followers: 4)
Australian Accounting Review     Hybrid Journal   (Followers: 4)
International Journal of Accounting Information Systems     Hybrid Journal   (Followers: 4)
Journal of Chinese Human Resource Management     Hybrid Journal   (Followers: 4)
Corporate Governance and Organizational Behavior Review     Open Access   (Followers: 3)
Journal of Accounting & Organizational Change     Hybrid Journal   (Followers: 3)
Evidence-based HRM     Hybrid Journal   (Followers: 3)
Journal of Global Responsibility     Hybrid Journal   (Followers: 3)
International Journal of Human Capital and Information Technology Professionals     Full-text available via subscription   (Followers: 3)
International Journal of Ethics and Systems     Hybrid Journal   (Followers: 2)
Journal of HR intelligence     Open Access   (Followers: 2)
Pacific Accounting Review     Hybrid Journal   (Followers: 2)
International Journal of Critical Accounting     Hybrid Journal   (Followers: 2)
Journal of Marketing and HR     Open Access   (Followers: 2)
Accounting and the Public Interest     Full-text available via subscription   (Followers: 2)
International Journal of Economics and Accounting     Hybrid Journal   (Followers: 1)
Sri Lankan Journal of Human Resource Management     Open Access   (Followers: 1)
Intangible Capital     Open Access   (Followers: 1)
Journal of Advances in Management Research     Hybrid Journal   (Followers: 1)
EURO Journal on Decision Processes     Hybrid Journal   (Followers: 1)
Journal of Human Resource and Sustainability Studies     Open Access   (Followers: 1)
NHRD Network Journal     Full-text available via subscription  
Human Resource Research     Open Access  
Personnel Assessment and Decisions     Open Access  
Kelaniya Journal of Human Resource Management     Open Access  
Revista Gestión de las Personas y Tecnología     Open Access  
Psychologie du Travail et des Organisations     Hybrid Journal  
FOR Rivista per la formazione     Full-text available via subscription  
Journal of Enterprising Communities People and Places in the Global Economy     Hybrid Journal  
Asian Review of Accounting     Hybrid Journal  

           

Similar Journals
Journal Cover
EURO Journal on Decision Processes
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2193-9438 - ISSN (Online) 2193-9446
Published by Springer-Verlag Homepage  [2469 journals]
  • Effects of information presentation on regulatory decisions for products
           of biotechnology

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      Abstract: Experts and laypeople often have to make judgements based on a large body of evidence that is uncertain and inconclusive. Theory suggests people are likely to modify their decisions according to how information is framed and structured. This study assesses the effect of information form (text versus numerical) and sequence (bundled versus non-bundled) on decision outcomes regarding the regulation of plants with novel traits. Both experts and laypersons were surveyed and offered one of eight different treatments that tested for the effect of information presentation, the effect of the assigned decision role (as an individual or a member of a decision committee), and the structure of the decision itself. Results show that non-experts are more prone than experts to change their decisions when faced with different structures or decision architectures, especially when the form of information changes.
      PubDate: 2020-11-01
      DOI: 10.1007/s40070-020-00114-9
       
  • Construction and application of hyper-inverse conflict models based on the
           sequential stability

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      Abstract: Based on the graph model for conflict resolution (GMCR), an analytical framework is proposed to assist the focal decision maker (DM) with an informational advantage in resolving real-world hyper-inverse conflict situations considering the sequential (SEQ) stability. The hyper-inverse conflict resolution aims to obtain the opponent’s misunderstanding preferences of focal DM, which can assist the focal DM in taking the initiative in a conflict. Among all stabilities in GMCR, the SEQ stability is selected in the present study, because this stability concept provides a logical basis for a DM to sanction the opponent, which reflects the case for many conflicts. Moreover, a nonlinear binary optimization model rooted in the matrix representation of SEQ stability is constructed to capture the cause and process of the abnormal individual stability (or stabilities) in the hypergame. Then, a solution procedure is designed for solving the optimization model to obtain the preferences that are misunderstood by the opponent. Finally, an illustrative example of two DMs in an environmental management conflict is studied to demonstrate how the proposed framework can be conveniently employed in practice.
      PubDate: 2020-11-01
      DOI: 10.1007/s40070-020-00117-6
       
  • Enhancing the efficiency and accuracy of existing FAHP decision-making
           methods

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      Abstract: Fuzzy analytic hierarchy process (FAHP) has been extensively applied to multi-criteria decision making (MCDM). However, the computational burden resulting from the calculation of fuzzy eigenvalue and eigenvector is heavy. As a result, a FAHP problem is usually solved using approximation techniques such as fuzzy geometric mean (FGM) and fuzzy extent analysis (FEA) instead of exact methods. Therefore, the FAHP results are subject to considerable inaccuracy. To solve this problem, in this study, a FAHP method based on the combination of α-cut operations (ACO), center-of-gravity (COG) defuzzification and defuzzification convergence mechanism (DCM) is proposed. First, ACO is applied to derive the near-exact fuzzy maximal eigenvalue and fuzzy weights. Subsequently, the α cuts of the fuzzy maximal eigenvalue and fuzzy weights are interpolated to generate samples that are uniformly distributed along the x-axis so that COG can be correctly applied to defuzzify the fuzzy maximal eigenvalue and fuzzy weights. To accelerate the computation process, DCM is applied to terminate the enumeration process if the defuzzified values of fuzzy weights have converged. The ACO–COG–DCM method has been applied to a real case to illustrate its applicability. In addition, a simulation study was also conducted to perform a parametric analysis. According to the experimental results, the proposed ACO–COG–DCM method improved the accuracy of estimating fuzzy weights by up to 56%. Furthermore, the experimental results also showed that the inaccuracy of estimating fuzzy weights was mostly owing to the deficiency of the FAHP method rather than the inconsistency of fuzzy pairwise comparison results.
      PubDate: 2020-11-01
      DOI: 10.1007/s40070-020-00115-8
       
  • Profiling analysts and actors in interaction: how behavioural aspects can
           positively affect the decision aid process

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      Abstract: The behaviour of the actors in a decision aid process is determined by different factors, all of which have an impact on the effectiveness of the process and its results. A framework, originally created to document decision aid processes and to study the reasons for backward and forward cycles in the process, has been used to comparatively analyse several multi-criteria decision aid interventions. The study has led to the identification of three basic process typologies, in relation with some organisational and processual complexities and factors which, as behavioural aspects, have the main influence on the interaction between the analysts and actors of a decision aid process. The work is a proposal for the behavioral OR research agenda.
      PubDate: 2020-11-01
      DOI: 10.1007/s40070-020-00113-w
       
  • What does it mean to provide decision support to a responsible and
           competent expert'

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      Abstract: Decision support consists in helping a decision-maker to improve his/her decisions. However, clients requesting decision support are often themselves experts and are often taken by third parties and/or the general public to be responsible for the decisions they make. This predicament raises complex challenges for decision analysts, who have to avoid infringing upon the expertise and responsibility of the decision-maker. The case of diagnosis decision support in healthcare contexts is particularly illustrative. To support clinicians in their work and minimize the risk of medical error, various decision support systems have been developed, as part of information systems that are now ubiquitous in healthcare contexts. To develop, in collaboration with the hospitals of Lyon, a diagnostic decision support system for day-to-day customary consultations, we propose in this paper a critical analysis of current approaches to diagnostic decision support, which mainly consist in providing them with guidelines or even full-fledged diagnosis recommendations. We highlight that the use of such decision support systems by physicians raises responsibility issues, but also that it is at odds with the needs and constraints of customary consultations. We argue that the historical choice to favor guidelines or recommendations to physicians implies a very specific vision of what it means to support physicians, and we argue that the flaws of this vision partially explain why current diagnostic decision support systems are not accepted by physicians in their application to customary situations. Based on this analysis, we propose that decision support to physicians for customary cases should be deployed in an “adjustive” approach, which consists in providing physicians with the data on patients they need, when they need them, during consultations. The rationale articulated in this article has a more general bearing than clinical decision support and bears lessons for decision support activities in other contexts where decision-makers are competent and responsible experts.
      PubDate: 2020-11-01
      DOI: 10.1007/s40070-020-00116-7
       
  • A refined utility function for modeling “me” vs. “us” allocation
           in a sequential group decision process

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      Abstract: Considering the psychological aspects of altruism and reciprocity in strategic interactions, we propose using the Cobb–Douglas utility function to refine standard utility functions as a weighted product of the player’s utility (“me” factor) and the jointly utility of players (“us” factor). We model an altruism willingness function to define the strategic allocation within “me” vs. “us” based on perceived kindness of the counterparts during the past agreements and unconditional altruism. Numerical examples are presented to show how the model represents the sequential group decision process of players with heterogeneous altruism profiles.
      PubDate: 2020-05-01
      DOI: 10.1007/s40070-019-00102-8
       
  • Can 1 h of training lead to better project decision-making'

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      Abstract: An experiment was set up to determine whether some short, focused training could influence decision makers to take a more structured and process-based approach to project decision-making. The experiment also investigated the impact on project decision-making of the way a decision is framed by an authority figure, i.e. how a decision is influenced by an authority figure advocating a process-driven, neutral or an opinion/schedule-driven approach. The experiment was set up so that half of the participants watched three 15-min training videos before answering questions on decision-making scenarios for projects, and the other half just answered questions on the decision-making scenarios. 40% of participants (split across those who watched the training videos and those that only answered the decision-making scenario questions) had undergone some prior training on decision making. The results demonstrate that watching the training videos has an impact. The impact is greater when there has been no prior training; however, there is still impact in each case, albeit small for some. This implies that the benefits of 1 h of training prior to project decision-making is more valuable for those with no prior training, but still worthwhile for those with prior training. The results showed that framing by an authority figure has a strong influence on the participants’ responses, in terms of whether a process-based, neutral or opinion/intuition-based response was given.
      PubDate: 2020-05-01
      DOI: 10.1007/s40070-020-00112-x
       
  • Pythagorean fuzzy ordered weighted averaging aggregation operator and
           their application to multiple attribute group decision-making

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      Abstract: The objective of the present work is twofold. First, Pythagorean fuzzy ordered weighted averaging (PFOWA) aggregation operator is introduced along with its desirable properties, namely commutatively, idempotency, boundedness and monotonicity. Finally, the proposed operator is applied to decision making problems to show the validity, practicality and effectiveness of the new approach. The main advantage of using the proposed method is that this method gives more accurate results as compared to the existing methods.
      PubDate: 2020-05-01
      DOI: 10.1007/s40070-020-00110-z
       
  • Managing an automated clinical laboratory: optimization challenges and
           opportunities

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      Abstract: In this paper, we analyze and discuss the optimization challenges and opportunities raised by the decision of building an automated clinical laboratory in a hospital unit. We first describe the general decision setting from a strategic, tactical and operational perspective. We then focus on the analysis of a practical case, i.e., the Central Laboratory of a large urban academic teaching hospital in the North of Italy, the ‘Spedali Civili’ in Brescia. We will describe the present situation and the research opportunities related to the study of possible improvements of the management of the laboratory.
      PubDate: 2020-05-01
      DOI: 10.1007/s40070-019-00097-2
       
  • An affective decision-making model with applications to social robotics

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      Abstract: With the proliferation of information and communication technologies, especially with recent developments in Artificial Intelligence, social robots at home and the workplace are no longer being treated as lifeless and emotionless, leading to proposals which aim at incorporating affective elements within agents. Advances in areas such as affective decision-making and affective computing drive this interest. Our motivation in this paper is to use affection as a basic element within a decision-making process to facilitate robotic agents providing more seemingly human responses. We use earlier research in cognitive science and psychology to provide a model for an autonomous agent that makes decisions partly influenced by affective factors when interacting with humans and other agents. The factors included are emotions, mood, personality traits, and activation sets in relation with impulsive behavior. We describe several simulations with our model to study and compare its performance when facing various types of users. Through them, we essentially showcase that our model allows for a powerful agent design mechanism regulating its behavior and provides greater decision-making adaptivity when compared to emotionless agents and simpler emotional models. We conclude describing potential uses of our model in several application areas.
      PubDate: 2020-05-01
      DOI: 10.1007/s40070-019-00109-1
       
  • Analysis of labor strike based on evolutionary game and catastrophe theory

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      Abstract: This paper analyzes the labor–employer relations during conditions that lead to strike using an evolutionary game and catastrophe theory. During a threat to strike, the employers may accept the whole or only a part of the demands of labors and improve the work conditions or decline the demands, and each selected strategies has its respective costs and benefits. The threat to strike action causes the formation of a game between the strikers and employers that in which, as time goes on, different strategies are evaluated by the players and the effective variables of strike faced gradual and continuous changes, which can lead to a sudden jump of the variables and push the system to very different conditions such as dramatic increase or decrease in the probability of selecting strategies. So the alliance between labors could suffer or reinforce. This discrete sudden change is called catastrophe. In this study after finding evolutionary stable strategies for each player, the catastrophe threshold analyzed by nonlinear evolutionary game and the managerial insight is proposed to employers to prevent the parameters from crossing the border of the catastrophe set that leads to a general strike.
      PubDate: 2020-05-01
      DOI: 10.1007/s40070-020-00111-y
       
  • A framework for integrating stakeholder preferences when deciding on power
           transmission line corridors

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      Abstract: Decisions about urban space and especially regarding power transmission lines are of great public interest, because their visibility affects citizens for decades. With citizens’ increasing awareness, they expect to be transparently informed, their concerns to be taken seriously and that decision-makers base their decisions rationally on facts and laws. In this paper, we present a 3D Decision Support System (3D DSS) that tackles this issue and allows decision-makers to find an optimal transmission line corridor on such rational basis and by considering stakeholder’s preferences regarding multiple criteria. We examined its reliability regarding the ability of predicting transmission line corridors realistically—as stakeholders would expect them—by carrying out a study in central Switzerland with 10 grid planning experts and government representatives. Moreover, we investigated the extent to which graphic representations may support decision-makers firstly in evaluating a transmission line corridor modeled by the 3D DSS, secondly in considering and improving a human-defined scenario for transmission line planning, and thirdly in changing their opinion about a human-defined path. For this, a questionnaire was statistically evaluated by means of exploratory analysis, correlation analysis, and regression analysis. The results on the investigated visual analytics approach showed that it supports the evaluation of the corridor modeled by the 3D DSS as well as of the scenario defined by the stakeholders. As our new approach allows stakeholders to evaluate a transmission line path they consider to be optimal for land and population, it has a high potential for supporting rational group decision-making when considering different opinions.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00100-w
       
  • Decision support for sustainable and resilience-oriented urban parcel
           delivery

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      Abstract: The worldwide trend of urbanization, the rising needs of individuals, and the continuous growth of e-commerce lead to increasing urban delivery activities, which are a substantial driver of traffic and pollution in cities. Due to rising public pressure, emission-reducing measures are increasingly likely to be introduced. Such measures can cover diesel bans or even entire car-free zones, causing drastic effects on delivery networks in urban areas. As an option to reduce the risk of a regulation-induced shock, we present a resilience-oriented network and fleet optimization. We propose an innovative parcel delivery concept for last mile delivery (LMD) operations and develop an optimization model to support tactical planning decisions. Our model minimizes overall operating costs by determining optimal locations for micro depots and it allocates transport vehicles to them. An adjustable CO2-threshold and external costs are included to consider potential regulatory restrictions by city authorities. We implement our model into a decision support system (DSS) that allows analyzing and comparing different scenarios. We provide a computational study by evaluating and discussing our DSS with an example of a mid-sized German city. Our results and findings demonstrate the trade-off between cost and emission minimization by quantifying the impacts of various fleet compositions. The proposed logistics concept represents an option to achieve environmentally friendly, cost-efficient, and resilient LMD of parcels.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00105-5
       
  • Editorial featured papers on environmental decisions

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      Abstract: Our society is facing serious environmental challenges related to climate change, pollution, diminishing resources, and biodiversity loss. Such problems are often ill-defined and are characterized by high uncertainty. Environmental decisions have strong impacts on society and demand clear and transparent trade-offs across values and priorities of stakeholder groups. This Feature Issue on Environmental Decisions includes papers focused on important environmental applications approached through various disciplinary backgrounds. The papers highlight advanced–often interdisciplinary–methodological approaches and include the perspectives of different stakeholders in the process of environmental decision-making. A wide range of methods are explored, ranging from a comprehensive review (for sustainable transport by Marleau Donais et al.) to an opinion paper proposing the use of Records of Engagement and Decision-making (RoED; by Cockerill et al.). Stakeholder engagement and preference elicitation required the development of new aggregation models for Multi-Criteria Decision Analysis (MCDA; by Reichert et al.). The integration of Cost-Benefit Analysis (CBA) with MCDA was found to be necessary in practice (by Liu et al.; Marleau Donais et al.). MCDA was extended to include the spatial dimension by integrating Geographic Information Systems (GIS; by Guay et al.; Schito et al.). The importance of considering the resilience of systems to better respond to and recover from unpredictable risks was emphasized (by Leyerer et al.; Mustajoki and Marttunen). These papers demonstrate the richness of approaches to environmental decision-making. Environmental issues offer ample exciting research opportunities to a broader scientific community. We encourage the readers of this Feature Issue—and of EJDP—to engage in environmental decision-making projects to support emerging societal needs.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00108-2
       
  • Improving resilience of reservoir operation in the context of watercourse
           regulation in Finland

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      Abstract: Resilience management aims to increase the ability of the system to respond to adverse events. In this study, we develop and apply a structured framework for assessing the resilience of the decision-making process related to reservoir (or lake) regulation with the resilience matrix approach. Our study area is Finland, where the initiatives for the regulation have typically been hydro power production or flood prevention, but nowadays recreational and environmental issues are also increasingly considered. The main objectives of this study are twofold. First, it aims to provide support for reservoir operators and supervisors of the water course regulation projects in their work for identifying the possible threats and actions to diminish their consequences. Second, it studies the applicability of the resilience matrix approach in a quite specifically defined operational process, as most of the earlier applications have focused on a more general context. Our resilience matrix was developed in close co-operation with reservoir operators and supervisors of regulation by means of two workshops and a survey. For the practical application of the matrix, we created an evaluation form for assessing the resilience of a single dam operation process and for evaluating the cost efficiency of the actions identified to improve the resilience. The approach was tested on a dam controlling the water level of a middle-sized lake, where it proved to be a competent way to systematically assess resilience.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00099-0
       
  • A cost-effective framework to prioritise stakeholder participation options

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      Abstract: Stakeholder participation is increasingly being embedded into decision-making processes from the local to the global scale. With limited resources to engage stakeholders, frameworks that allow decision-makers to make cost-effective choices are greatly needed. In this paper, we present a structured decision-making (SDM) framework that enables environmental decision-makers to prioritise different engagement options by assessing their relative cost-effectiveness. We demonstrate the application of this framework using a case study in biosecurity management. Drawing on a scenario of Panama Disease Tropical Race 4 (TR4) invasion in the Australian banana industry, we conducted 25 semi-structured interviews and held a workshop with key stakeholders to elicit their key concerns and convert them into four objectives-making more informed decisions, maximising buy-in, empowering people, and minimising the stress of biosecurity incidents. We also identified ten engagement alternatives at local, State/Territory, and National scales. Our results showed that options to engage local stakeholders and enable capacity to undertake adaptive approaches to biosecurity management are more cost-effective than engagement efforts that seek to build capacities at higher decision-making levels. More interestingly, using the weights provided by different stakeholder groups does not significantly affect the cost-effectiveness ranking of the ten options considered. Even though the results are contingent on the context of this biosecurity study, the SDM framework developed for maximising cost-effectiveness is transferable to other areas of environmental management. The efficient frontier generated by this framework allows decision-makers to examine the trade-offs between the costs and benefits and select the best portfolio for their investment. This approach provides a practical and transparent estimate of the return on investment for stakeholder engagement in highly complex or uncertain situations, as is usually the case for environmental issues.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00103-7
       
  • SOMERSET-P: a GIS-based/MCDA platform for strategic planning scenarios’
           ranking and decision-making in conflictual socioecosystem

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      Abstract: This contribution proposes an application of the SOMERSET-P platform for strategic environmental assessment of regional planning scenarios related to the municipality of Ste-Claire (Quebec, Canada). The platform combines spatial analysis and multicriteria decision-aid support and is supplied with data from several stakeholder expectations and planning issues. Stakeholders are modeled according to the following five groups: “Owners” (civil administration representatives), Farmers, Foresters, Environmentalists, and Neo-rural dwellers. Each scenario was built according to a hierarchy of planning objectives. Scenarios were assessed in accordance with 12 decision criteria and related indicators of performance. The spatial translation and spatial analysis of the territorial impacts of the scenarios are performed within the ArcGIS geographic information system. These scenarios were integrated into multicriteria and multi-stakeholders analysis software implementing the PROMETHEE/GAIA methodology. Four elements were computed to support the stakeholder negotiations and decision analysis: scenario strengths and weaknesses, individual and multi-stakeholder scenario rankings, and visual analysis of conflicts and synergies between criteria, and between stakeholders. Results suggest that a potential compromise is located in-between the full economic growth and the ecological scenarios. Since regional planning processes are becoming increasingly complex with time due to the group polarization and the emergence of conflictual societal value schemes among stakeholders hierarchical and networked relations approaches involving multiple stakeholders like this one are fully justified in the future.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00106-4
       
  • The need for unconventional value aggregation techniques: experiences from
           eliciting stakeholder preferences in environmental management

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      Abstract: Despite the large literature about non-additive value aggregation techniques, in the large majority of applied decision support processes, additive value aggregation functions are used. The main reasons for this may be the simplicity of the approach, minimum elicitation requirements, software availability, and the appeal of the underlying preference independence concepts that may be strengthened by an adequate choice of sub-objectives and attributes. However, in an applied decision support process, the decision maker(s) or the stakeholders decide on the sub-objectives and attributes to characterize the state of a system and they have to provide information that allows the decision analyst to express their preferences as a value function of these attributes. It is the task of the decision analyst to find the parameterization and parameter values of a value function that fits best the expressed preferences. We describe a value function elicitation process for the ideal morphological state of a lake shore, performed with stakeholders from federal and cantonal authorities and from environmental consulting companies in Switzerland. This process led to the elicitation of strongly non-additive and partly even non-concave value aggregation functions. The objective of this paper is to raise the awareness about the importance of carefully testing the assumptions underlying parameterized (often additive) value aggregation techniques during the preferences elicitation process and to be flexible regarding evaluating value functions that deviate from the often used additive aggregation scheme. This can lead to a higher confidence that additive aggregation is suitable for the specific decision problem or to the selection of alternative aggregation techniques that better represent the decision maker’s preferences in case additivity is violated.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00101-9
       
  • Records of engagement and decision making for environmental and
           socio-ecological challenges

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      Abstract: We propose creating and maintaining records of engagement and decision-making (RoED) to help us and our communities better understand ourselves, our goals, our decisions, and the dynamic systems in which we all live. The purpose of RoED is to go well beyond noting that dialogue occurred or a decision was reached. The records should, in ways appropriate to the context and participants, document interactions and note biases, beliefs, emotions, behaviors, norms, and values. These crucial aspects are generally absent in academic papers and formal reports, yet they always play a role in decision-making processes. While not a panacea for addressing critical biophysical and social challenges, we propose that a comprehensive framework for promoting realistic, legitimate and inclusive engagement could enhance trust, establish institutional memory, and when and where appropriate, ensure greater transparency. The aim is to create and maintain RoED to collect significant information and share insights from multi-stakeholder decision-making processes from diverse institutions, contexts, and disciplinary domains. In the long-term RoED could promote more effective adaptive management or governance approaches. This paper describes an exploratory phase intended to catalyze collaborative efforts worldwide.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00104-6
       
  • A review of cost–benefit analysis and multicriteria decision analysis
           from the perspective of sustainable transport in project evaluation

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      Abstract: Transport decision processes have traditionally applied cost–benefit analysis (CBA) with benefits mainly relating to time-savings, and costs relating to infrastructure and maintenance costs. However, a shift toward more sustainable practices was initiated over the last decades to remedy the many negative impacts of automobility. As a result, decision processes related to transport projects have become more complex due to the multidimensional aspects and to the variety of stakeholders involved, often with conflicting points of view. To support rigourous decision-making, multicriteria decision analysis (MCDA) is, in addition to CBA, often used by governments and cities. However, there is still no consensus in the transport field regarding a preferred method that can integrate sustainability principles. This paper presents a descriptive literature review related to MCDA and CBA in the field of transport. Among the 66 considered papers, we identified the perceived strengths and weaknesses of CBA and MCDA, the different ways to combine them and the ability of each method to support sustainable transport decision processes. We further analysed the results based on four types of rationality (objectivist, conformist, adjustive, and reflexive). Our results show that both methods can help improve the decision processes and that, depending on the rationality adopted, the perceived strengths and weaknesses of MCDA and CBA can vary. Nonetheless, we observe that by adopting a more global and holistic perspective and by facilitating the inclusion of a participative process, MCDA, or a combination of both methods, emerge as the more promising appraisal methods for sustainable transport.
      PubDate: 2019-11-01
      DOI: 10.1007/s40070-019-00098-1
       
 
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