Case-based Reasoning and Multiple-agent Systems for Accounting Regulation Systems with Extensions

One of the areas of judgment research in accounting and financial applications is that of accounting regulation. Previously, artificial intelligence efforts at modeling human judgment in accounting regulation systems have concentrated on rule-based expert systems. In those systems, general heuristic knowledge was captured using ‘if … then …’ rules in order to model particular decision processes. Recent developments in artificial intelligence have focused on case-based reasoning (CBR) and multiple-agent intelligent systems (MAIS). The ideas behind CBR are that ‘if it worked once then remember to use it again’ and ‘if it did not work before, then remember to not use it again‘. MAIS assumes that many organizational systems can be treated as computational models of multiple-interacting intelligent agents. Typically, solutions may be derived using some form of negotiations between agents to accomplish single global or separate individual interacting goals. This paper argues that many accounting regulation judgment processes can be modeled using CBR and MAIS. As a result, it summarizes some examples of both CBR and MAIS useful in accounting regulation and extends those to other accounting applications. In addition, it describes the results of some previously developed systems that employ CBR or MAIS.     

A Case-Based Reasoning System for Indirect Bank Lending

By implementing case-based reasoning (CBR) systems, business organizations can utilize past cases—a key data resource—for future decision making. CBR is particularly suitable for business domains that have available a large amount of historical data. One such domain is indirect bank lending. In this paper, we present a case-based system that operates in the bank lending domain. The system recommends whether an indirect loan application should be approved or denied, based on past experiences. We describe how the system was developed and explain how the system functions. The system was empirically evaluated using actual loan cases. The positive results of the evaluation confirm our hypothesis that CBR is an attractive decision-making methodology for the bank lending domain.     

Risk analysis for electronic commerce using case-based reasoning

Electronic commerce (EC) appears to be essential for an organization’s survival and growth. Then the security of the EC systems, which ensures authorized and correct transaction processing, becomes one of the most critical issues in implementing the systems. The analysis of risk that a system faces is the core part of security management since risk analysis can identify the principal assets, the threats and the vulnerabilities of those assets, and the risks confronting the assets. This study intends to develop a risk analysis system in an EC environment using the case-based reasoning (CBR) technique. The process of the proposed system is composed of four steps: initial data collection, asset evaluation, threat and vulnerability evaluation, and result generation of risk analysis. This process follows the traditional risk analysis process. This system employs the casebase of past analyses and security accidents. Although some studies introduced several case-based systems for risk analysis of traditional information system, none of them is under an EC environment. The proposed system is the first to apply the CBR technique for risk analysis of an EC system. Copyright © 1999 John Wiley & Sons, Ltd.     

A methodology for modeling influence diagrams: a case-based reasoning approach

In this paper, a case-based reasoning approach to build an influence diagram is described. Building an influence diagram in decision analysis is known to be a most complicated and burdensome process. To overcome such a difficulty, decision class analysis is suggested, which treats a set of decisions having some degree of similarity as a single unit. This research suggests a case-based reasoning approach as a methodology to analyze a class of decisions. The candidate influence diagrams are retrieved from a set of similar influence diagrams, a case base. They are combined and modified by the node classification tree and DM’s preference for the given decision problem. For such a purpose, the case representation and retrieval process is explained with the adaptation process. We suggest using two measure, the fitness and garbage ratio for the case retrieval process. The basic concept of decision class analysis and case-based reasoning is very similar so the case-based reasoning approach is believed to be a better methodology to implement a decision class analysis. Copyright © 2000 John Wiley & Sons, Ltd.     

Performance management: a framework for management control systems research

This paper proposes a framework for analysing the operation of management control systems structured around five central issues. These issues relate to objectives, strategies and plans for their attainment, target-setting, incentive and reward structures and information feedback loops. Their central focus is on the management of organizational performance. Because the framework has been inductively developed, its application is `tested' against three major systems of organizational control, namely budgeting, economic value added and the balanced scorecard. In each case, neglected areas of development are exposed and fruitful topics for research identified. It is believed that the framework can usefully be developed further by its use in analysing other instances of management control systems practice, and that case-based, longitudinal studies provide the best route to this end.     

Exploring the future with complexity science: The emerging models

The ‘futures field’ can be divided into five major segments or futurist schools, together with their complementary but differing research methodologies and time horizons. These are generally subsumed under the terms ‘futures research’, ‘futures studies’ and ‘foresight’. Complexity science applications are outlined for each of the schools, and these provide evolving theories for futures thinking. (1) Environmental and geosciences treat the Earth and its various components as typical out-of-equilibrium systems with dissipative processes. (2) Infrastructure and socio-technological systems emerge through the diffusion of investment capital, with the endogenous transformation of the urban system. (3) Social, political and economic sciences are being reshaped away from the notion of economic equilibrium, and describe social emergence by means of agent-based models. (4) Human life, mind and information sciences are evolving with the development of complexity models in neuroscience, immune systems, epidemic modelling, social media technologies and artificial intelligence. (5) Business and management science involves examining the viability of successfully undertaking transactions in a complex adaptive system, in which the systemic structure evolves over time. Geographical information systems are integrated with agent-based modelling for corporate foresight.     

SCAN: A Case-Based Reasoning Model for Generating Information System Control Recommendations

This paper describes SCAN, a case-based reasoning model for generating information system control recommendations. The purpose of the paper is to explain how a case-based reasoner may be used to support inexperienced information system auditors in evaluating controls and proposing audit recommendations. As a case-based reasoner, SCAN functions by reasoning by analogy to similar past cases. SCAN models audit experience as traces of past cases which are stored in a case knowledge base. In addition to a database of past audit cases, SCAN consists of indices for storing and retrieving cases, a similarity metric for measuring case similarity, and rules for using similar cases to generate control recommendations. SCAN uses past cases to remind the user of previous control failures, to set expectations about case features and controls, to use as a pattern against which to compare a client's controls and to help justify or explain its recommendations. SCAN's recommendations were judged to be more like those of an experienced auditor than either a student or a textbook model.     

Risk and safety in large-scale socio-technological (military) systems: a literature review

Contemporary military practice relies more and more on technology and its artefacts and seem to have become, thereby, large-scale socio-technological systems; systems in which the social and the technological are closely tied together. An important issue in these kinds of systems, especially military ones, is how to safely use this technology. This paper reviews the literature for research on risk and safety in large-scale socio-technological systems for their ability to account for the complex dynamics from which safety in these kinds of systems tends to emerge – or not. After this, it evaluates some current accounts of risk and safety in the military specifically, so as to assess the ‘status’ – or analytical strength – of accounts of risk and safety in this domain. More rigour is needed in evaluations of risk and safety of technology in the military so as to provide analyses with sufficient analytic strength. This rigour, it turns out, can often be found in the interdisciplinary STS (science, technology and society) literature that, until today however, does not often seem to address risk and safety of large-scale socio-technological systems directly, and which seems to pay even less attention to risk and safety in the military.     

FORECASTING FIRM RISK IN THE EMERGING MARKET OF CHINA WITH SEQUENTIAL OPTIMIZATION OF INFLUENCE FACTORS ON PERFORMANCE OF CASE‐BASED REASONING: AN EMPIRICAL STUDY WITH IMBALANCED SAMPLES

With the development of the Chinese economy, how to make the right decision regarding firms’ risk is becoming more and more important. Case‐based reasoning (CBR) is a potential method that can help forecast business risk status in advance; it is easy to apply and is able to provide good explanations of output. In order to obtain more accurate prediction with CBR, it is essential to investigate factors that influence CBR's performance, and to optimize these factors sequentially for the improvement of CBR's performance in firm risk prediction in emerging markets under a more practicable assumption. We verified that sequential optimization of feature selection, feature weighting, instance selection and the number of nearest neighbours is a possible alternative for improving predictive performance of CBR forecasting under the assumption that the number of failed samples is smaller than that of nonfailed samples. The detailed implementation includes: (1) selecting significant features through a correlation matrix and reducing feature dimensions with factor analysis; (2) using variance contribution ratios of features from factor analysis as feature weights; (3) eliminating noisy cases via a state matrix; and (4) obtaining the optimal number of nearest neighbours from empirical results among different numbers of nearest neighbours. To validate the usefulness of the sequential optimization approach, we applied it to a real‐world case: firm risk prediction with imbalanced data from the emerging market of China. Experimental results show that predictive accuracy of CBR applied in the emerging market was improved with the sequential optimization approach. Insightful thoughts from the results of the sequential optimization of the CBR forecasting system on modelling social tasks are also provided. Copyright © 2013 John Wiley & Sons, Ltd.     

The application of artificial intelligence to medicine

This article reviews current developments in artificial intelligence as they apply to medicine. Initial applications of this approach to medicine are being actively pursued in medical diagnosis, interpretation of data from chemical studies, and the development of computer models of human behavioural processes. Of special interest is a new research programme established at Stanford University called SUMEX, one of whose major goals is the application of artificial intelligence to medicine. Within the framework of SUMEX, research is actively under way in a number of aspects of biomedical research and clinical medicine. Some of the work reviewed includes the DENDRAL and META-DENDRAL programs, the Protein Crystallography System, SECS, MYCIN, DIALOG, CASNET, the Present Illness Program, PARRY, and Believer. Suggestions for future applications of artificial intelligence to medicine will include clinical patient-record information systems, pharmacology, prosthetics, gerontology, and radiology.     

The Interaction of Solvency with Liquidity and its Association with Bankruptcy Emergence

Prior research has shown that accounting information available prior to a bankruptcy is associated with the likelihood of bankruptcy. We show that additionally, the accounting information available prior to bankruptcy is associated with whether or not a firm will emerge from bankruptcy. We predict that firms that exhibit low solvency risk and high liquidity risk are most likely to emerge from bankruptcy. Firms that exhibit high solvency risk and high liquidity risk are predicted to be least likely to emerge from bankruptcy. Cross–sectionally, our results support these predictions, but our findings differ across large and small firms.     

Analyzing prospects of portable fuel cells with an expert opinion study

Fuel cell technology is becoming a significant option as an energy technology. Attracting significant research funding, industry research and development (R&D), and commercial anticipation different fuel cell technologies are indicating potential as viable products. One of the anticipated applications of the technology is portable fuel cells. Ranging from small back-up power systems to small micro watt solutions portable fuel cells have been widely demonstrated but lacking widespread commercial exploitation. This paper presents the prospects of portable fuel cells which resulted from a Delphi study.     

“投资人付费”vs.“发行人付费”:谁的信用评级质量更高？

本文选择2011-2015年被中债资信覆盖的发债A股上市公司作为主要研究对象,比较了“投资人付费”与“发行人付费”模式下的评级质量高低。研究发现:(1)与“发行人付费”评级相比,采用“投资人付费”模式的中债资信所作评级显著更低。(2)与“发行人付费”评级相比,当采用“投资人付费”模式的中债资信所作评级越低时,发行人未来盈利能力越差、预期违约风险越高,投资者要求的风险补偿也越高,这表明“投资人付费”模式下的信用评级质量更高。(3)“发行人付费”模式的评级结果可以在一定程度上反映公司的内部私有信息,但由于同时存在独立性缺失问题,“发行人付费”模式的信用评级质量仍然不如“投资人付费”模式的信用评级质量,这说明独立性对于评级机构尤其重要。     

Stakeholders’ influence on environmental strategy and performance indicators: A managerial perspective

This paper explores how managers perceive stakeholders’ influence for the choice of internal environmental performance indicators (EPI) that underlie strategic performance measurement systems. Drawing on the concept of levers of control, we conduct a field investigation within a large multinational firm operating in an environmentally sensitive industry. The firm pursues a proactive environmental strategy driven by a willingness to achieve corporate economic success while taking environmental issues into consideration. Our investigation encompasses interviews with key environmental executives and a review of corporate documents. We show that EPI are used as interactive and diagnostic controls, with stakeholders’ influences being integrated into the corporation through its beliefs system. We find that four distinct influence patterns emerge. These influence patterns range from being narrow and unidirectional to very broad and interactive, conditional upon the firm's environmental impact on specific stakeholders, and its need for legitimization. The study extends research on the relationships between stakeholders and corporate environmental management and reveals ways in which strategic performance measurement systems integrate environmental considerations.     

Implementing budgetary control in the performing arts: games in the organizational theatre

When administrators or political bodies try to enforce implementation of new management control systems on organizations, various forms of conflicts and games may be observed in the implementation process. Different rationalities are brought face-to-face in the discourse on implementation, and the process will be influenced by some form of political behaviour. A political perspective will call attention to such issues as the players, power and games. By adopting the concept of budget games in an analysis of the actions related to the implementation process we try to show how we can gain a better understanding of the behaviour exhibited by the various groups involved and of the outcome of the process. Observations from a case study of the Royal Danish Theatre show how different budget games emerge in a process in which the Theatre, the Danish Treasury Department, and various actors inside and outside the theatre have been engaged over a period of 15 years, in an attempt to implement a new management control system at the theatre. The management control system being implemented is a combination of a new accounting system and a new planning and budget system. First, we will discuss the strengths of the concept of budget games and the possibilities that it offers for a better understanding of organizational actions related to the implementation of budgeting systems. In addition, we will look at reforms in the public sector with a special view to the role of budgetary control systems. A framework for using budget games as an analytical tool in understanding implementation processes is developed and applied to the case. The analysis shows how various budget games emerge in the organizational field. The budget games start when an individual or a group wants to address an issue and encounters opponents. The analysis also demonstrates how one budget game may create a counter-game. Finally, the findings and their implications are discussed. The analysis demonstrates the usefulness of the budget game perspective in understanding the implementation of accounting systems and the behaviour of the various groups involved or af fected by the system.     

Market- vs. bank-based financial systems: Do rights and regulations really matter?

In some countries, banks are firms' key source of financing. In others, firms look mainly to financial markets to meet their financial needs. Why should this be so? This paper provides an explanation tied to legal traditions. Civil-law courts are less effective than their common-law counterparts in resolving conflicts because they have less flexibility in interpreting the laws and creating new rules. Banks emerge in these economies as primary contract enforcers, leading to bank-oriented financial systems. Furthermore, because common-law courts enforce laws effectively, providing them with more detailed creditor and shareholder protection laws has a greater impact on the development of financial markets compared with civil-law systems.     

Scenarios as a scholarly methodology to produce “interesting research”

Recent debates identified the insufficient production of “interesting research”, namely research that is innovative and develops theory while being both usable and rigorous. We propose that scenarios methodology as a scholarly form of inquiry is one way in which we can generate “interesting research”. We present and compare how this methodology was used to investigate three research studies: (i) the unfolding of retailing formats in India; (ii) the evolution of migration patterns in Europe and the Mediterranean; and (iii) climate change and regional and urban planning in the Tulum region of the Peninsula of Yucatán. We found that when scenarios are used as a scholarly methodology involving iterations and revisions, they help to challenge existing assumptions, identify novel lines of inquiry, and enable new research opportunities to emerge,—thus opening up a research mode that helps engaged scholars to make sense of and address complex and uncertain contexts and produce interesting findings.     

The role of attitudinal loyalty in the development of customer relationship management strategy within service firms

To facilitate the management of customer relationships, software manufacturers have developed customer relationship management (CRM) systems. These are enterprise-wide applications that can provide a single view of any customer's interactions with the company by tracking communications from both sides, recording purchases and thus developing an understanding of each customer's preferences. The need to generate behavioural loyalty has been identified as one of the major drivers for implementing CRM systems. There is relatively little research on attitudinal loyalty and CRM, however, with the bulk of the research conducted so far being focused on behavioural loyalty. The emphasis on behavioural loyalty has led to CRM being used to develop behavioural loyalty strategies. Generally speaking these strategies involve creating loyalty programmes, where incentives are offered to generate repeat purchase, or to sell more of the organisation's products and services to existing customers. The purpose of this research is to investigate the objectives and strategies of CRM in the finance industry and to compare these with the CRM objectives and strategies found in other service industries. The authors investigate to what degree the development of attitudinal loyalty is a factor in the creation of CRM strategy. This study is a qualitative study made up of 25 one-hour interviews with marketing and CRM managers. These 25 interviews consist of 11 interviews from the finance industry and 14 interviews from other industries as comparators. The results will be presented and contributions, limitations and suggestions for further research discussed.     

One last chance: tapping indigenous knowledge to produce sustainable conservation policies

Sustainable development projects that were supposed to insure the future of the earth’s biological inheritance are currently being criticized for compromising biodiversity. Drawing on sixteen months of fieldwork with one of Papua New Guinea’s most remote societies, this paper argues that more productive conservation policies will emerge when indigenous activities are viewed as disturbance and not as vehicles for establishing equilibrium with the environment. This research demonstrates that although the Hewa play a significant role in shaping this environment, their traditions are not always compatible with biodiversity conservation. Finally, policy recommendations based on indigenous knowledge research are offered.