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Using Soft System Methodology to Support Stakeholders Management: Integrating Case-based Reasoning

栏目:财经金融发布:2011-08-07浏览:2561下载139次收藏
                                                                                                                                                                i.           introduction

with economic globalization and increasingly fierce competition, the enterprise's business was more influenced by stakeholders. nowadays, "stakeholder management” is widely used in the practices of large enterprises such as coca cola, johnson & johnson, and others. enterprise performance should be evaluated through stakeholders that reached a consensus in the theory field [1]. as a consequence of this, it is necessary to carry out stakeholder management strategies in changing environments. business stakeholders, or organizational members participating in common business processes, hold different perspectives on matters such as the setting of a group, organizational goals and values, allocation of resources, distribution of rewards, policies, procedures, and task assignments [2]. so they are conflicting stakeholders. the emphasis of stakeholder management strategies is on how to exploit conflicting stakeholders to maximize the firm’s value. freeman argues that a prerequisite to effective strategic planning is the identification and analysis of those parties who can affect the implementation of the organization’s strategic programs or be affected by them [3]. enterprises identify the interests of stakeholders and satisfy their  expectations through various forms. that can improve the company's performance. the success or failure of the development project depends on how effectively managers address these expectations.

the rest of this article is structured as follows: section 2 introduces the ssm and stakeholder management. section 3 introduces cbr, discusses how to use ssm in stakeholder management and proposes our methodology of integrating ssm and the cbr to build a strategy model. section 4 is the conclusion.   

                                                                                                                       ii.         stakeholder management and ssm

enterprise external environments, competitors and regulatory work change rapidly. internally, the needs and requirements of stakeholders are changing. meanwhile, different stakeholders involved in this business action,  are conflicting stakeholders, and have their own benefits and perspectives. so the early stage of building stakeholder management strategy frequently is characterized by multiple perspectives. this decides ssm is useful especially at the initial stage of strategy.

a soft system (ssm)is characterized by having: certain limit conditions; no agreement about the precise ives of the system; qualitative rather than quantitative ives; no single solution, but a range of equally valid alternative solutions; a need for involvement of all those affected by the system. ssm recognizes that different individuals will have diverse perceptions of the situation and different preferable outcomes. it recognizes these differences and explicitly attempts to take these into account from the outset to ensure that the results are acceptable to all parties concerned. ssm is proposed as an inquiry system for tackling real-world problems in situation. in ssm, the distinguishing feature is its explicit focus on problem formulation by helping the user to identify the "relevant" systems from the perception of possibly disagreeing stakeholders[6].

                                                            iii.        using ssm to promote statkeholder management -integrating cbr a.    the case d reasoning (cbr)

the case d reasoning (cbr) methodology can combine knowledge from different sources into one aggregated reasoning task to propose a solution [7]. cbr systems are able to relate past experiences or cases to current observations, solving new problems through the memorization and adaptation of previously tested solutions. this is an effective way of learning, similar to the general structure of human thought. moreover, cbr systems have the capacity to update their memory dynamically, d on new information (new cases), as well as, improving the resolution of problems [8]. this process can be typically simplified and described as a cyclical process comprising the four phases as follows: [9]

1. retrieve the most similar case(s);   

2. reuse the case(s) to attempt to solve the problem;

3. revise the proposed solution if necessary;

4. retain the new solution as a part of a new case.

a new problem is matched against cases in the case , and one or more similar cases are retrieved. a solution suggested is then

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