Monitoring credit risk in the social economy sector by means of a binary goal programming model

The final publication is available at Springer via http://dx.doi.org/10.1007/s11628-012-0173-7Monitoring the credit risk of firms in the social economy sector presents a considerable challenge, since it is difficult to calculate ratings with traditional methods such as logit or discriminant analysis, due to the relatively small number of firms in the sector and the low default rate among cooperatives. This paper intro- duces a goal programming model to overcome such constraints and to successfully manage credit risk using economic and financial information, as well as expert advice. After introducing the model, its application to a set of Spanish cooperative societies is described.García García, F.; Guijarro Martínez, F.; Moya Clemente, I. (2013). Monitoring credit risk in the social economy sector by means of a binary goal programming model. Service Business. 7(3):483-495. doi:10.1007/s11628-012-0173-7S48349573Alfares H, Duffuaa S (2009) Assigning cardinal weights in multi-criteria decision making based on ordinal rankings. J Multicriteria Decis Anal 15:125–133Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Financ 23:589–609Altman EI, Hadelman RG, Narayanan P (1977) Zeta analysis: a new model to identify bankruptcy risk of corporations. J Bank Financ 1:29–54Andenmatten A (1995) Evaluation du risque de défaillance des emetteurs d’obligations: Une approche par l’aide multicritère á la décision. Presses Polytechniques et Univertitaires Romandes, LausanneBeaver WH (1966) Financial ratios as predictors of failure. J Account Res 4:71–111Boritz JE, Kennedey DB (1995) Effectiveness of neural network types for prediction of business failure. Expert Syst Appl 9:503–512Bottomley P, Doyle J, Green R (2000) Testing the reliability of weight elicitation methods: direct rating versus point allocation. J Mark Res 37:508–513Casey M, McGee V, Stinkey C (1986) Discriminating between reorganized and liquidated firms in bankruptcy. Account Rev 61:249–262Cruz S, Gonzalez T, Perez C (2010) Marketing capabilities, stakeholders’ satisfaction, and performance. Serv Bus 4:209–223Díaz M, Marcuello C (2010) Impacto económico de las cooperativas. La generación de empleo en las sociedades cooperativas y su relación con el PIB. CIRIEC 67:23–44Dimitras AI, Zopounidis C, Hurson C (1995) A multicriteria decision aid method for the assessment of business failure risk. Found Comput Decis Sci 20:99–112Dimitras AI, Slowinski R, Susmaga R, Zopounidis C (1999) Business failure prediction using rough sets. Eur J Oper Res 114:263–280Elmer PJ, Borowski DM (1988) An expert system approach to financial analysis: the case of S&L bankruptcy. Financ Manage 17:66–76Frydman H, Altman EI, Kao DL (1985) Introducing recursive partitioning for financial classification: the case of financial distress. J Financ 40:269–291García F, Guijarro F, Moya I (2008) La valoración de empresas agroalimentarias: una extensión de los modelos factoriales. Rev Estud Agro-Soc 217:155–181Gupta MC, Huefner RJ (1972) A cluster analysis study of financial ratios and industry characteristics. J Account Res 10:77–95Jensen RE (1971) A cluster analysis study of financial performance of selected firms. Account Rev 16:35–56Juliá J (2011) Social economy: a responsible people-oriented economy. Serv Bus 5:173–175Keasey K, Mcguinnes P, Short H (1990) Multilogit approach to predicting corporate failure: further analysis and the issue of signal consistency. Omega-Int J Manage S 18:85–94Li H, Adeli H, Sun J, Han JG (2011) Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction. Comput Oper Res 38:409–419Luoma M, Laitinen EK (1991) Survival analysis as a tool for firm failure prediction. Omega-Int J Manage S 19:673–678March I, Yagüe RM (2009) Desempeño en empresas de economía social. Un modelo para su medición. CIRIEC 64:105–131Martin D (1977) Early warning of bank failure: a logit regression approach. J Bank Financ 1:249–276Mateos A, Marín M, Marí S, Seguí E (2011) Los modelos de predicción del fracaso empresarial y su aplicabilidad en cooperativas agrarias. CIRIEC 70:179–208McKee T (2000) Developing a bankruptcy prediction model via rough sets theory. Int J Intell Syst Account Finan Manage 9:159–173Messier WF, Hansen JV (1988) Inducing rules for expert system development: an example using default and bankruptcy data. Manage Sci 34:1403–1415Ohlson JA (1980) Financial ratios and the probabilistic prediction of bankruptcy. J Account Res 18:109–131Peel MJ (1987) Timeliness of private firm reports predicting corporate failure. Invest Anal J 83:23–27Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New YorkScapens RW, Ryan RJ, Flecher L (1981) Explaining corporate failure: a catastrophe theory approach. J Bus Finan Account 8:1–26Skogsvik R (1990) Current cost accounting ratios as predictors of business failures: the Swedish case. J Bus Finan Account 17:137–160Slowinski R, Zopounidis C (1995) Application of the rough set approach to evaluation of bankruptcy risk. Int J Intell Syst Account Finan Manage 4:24–41Vranas AS (1992) The significance of financial characteristics in predicting business failure: an analysis in the Greek context. Found Comput Decis Sci 17:257–275Westgaard S, Wijst N (2001) Default probabilities in a corporate bank portfolio: a logistic model approach. Eur J Oper Res 135:338–349Wilson RL, Sharda R (1994) Bankruptcy prediction using neuronal networks. Decis Support Syst 11:545–557Zavgren CV (1985) Assessing the vulnerability to failure of American industrial firms. A logistic analysis. J Bus Financ Account 12:19–45Zmijewski M (1984) Methodological issues related to the estimation of financial distress prediction models. Studies on Current Econometric Issues in Accounting Research. J Account Res 22:59–86Zopounidis C, Doumpos M (2002) Multicriteria classification and sorting methods: a literature review. Eur J Oper Res 138:229–24

Trust and control building in evolving inter-organisational relationships: Evidence from the aerospace industry

This paper seeks to analyse the effects of trust in the control of inter-organisational relationships. The paper seeks a better understanding of the relationship between trust and control structures by investigating the relationship among different phases of evolution and maturity over time and it provides evidence of what shifted the changes. It reports on an aero manufacturing company during the restructuring of its supply chain and explores the governance of inter-organisational relationships during different supply chain maturity phases; moving from arm-length relationships to supply chain collaboration. In the paper we discuss the relationship between trust and control in each maturity phase and discuss its evolution as collaboration increases. We develop propositions from the existing literature with which we seek to interpret our case findings and explain the changes in the supply chain

The governance of inter-organisational relationships during different supply chain maturity phases

Inter-organisational relationships have increased in popularity over the last years and inter-organisational control has received a vast amount of academic attention. However, little research has an integrated approach to the study of inter-organisational control. The objective of this paper is to provide a holistic approach to the governance of inter-organisational relationships during different supply chain maturity phases. The minimal structure framework of van der Meer-Kooistra and Scapens (2008) will be applied for the study of the governance of the relationships. Using the supply chain maturity model, this paper explores how the minimal structures for the governance of inter-organisational relationships emerge and evolve over time. The paper reports the findings from a case study in an aero-manufacturing company

Rising prices, financial statements and fundamental research

Adequate consideration cannot be given to the subject of inflation accounting without a rigorous reappraisal of the nature and usefulness of published financial statements. It is argued that much fundamental research is a necessary prerequisite for the evaluation of methods of accounting in a period of inflation. Such research should begin with a consideration of the purposes to be served by the publication of financial statements. A framework is presented for such fundamental research and the results of some preliminary work outlined to assess the usefulness of financial statements in providing information to assist investors to make investment decisions. The use of financial statements by investors for this purpose is one of a number of possible objectives for financial statements.

New Integrated Information Systems and Management Control Change in Small and Medium Enterprises

This research attempts to explore the process of change and to examine in more depth the nature of the changes in management control which accompany the adoption of the new information technologies within small and medium enterprises. In particular, recognizing that management control change is a continuous organizational process (rather than an outcome), the trajectory of which is shaped by an incessant inter-play of several influences, this research intends to explore the way in which the implementation of a new integrated information system contributes to this process. To address this issue, the current research combines theoretical and empirical insights. After having reviewed the literature on the main topics and produced a theoretical understanding to illuminate the nature of the aforementioned changes, the research relies upon an illustrative case study concerning a medium-size cooperative society based in Italy. Recognizing the complexity of organizational life, the field study does not aspire to isolate and define how and by how much ICT has been a driver of the management control change, but rather to explore the whole process of change in order to appreciate the diversity of interrelated influences which have shaped its trajectory and how these influences interacted with each-other. Among this inter-play of influences, the study aims then to investigate the particular role played by the two-way relationship between ICT and management control. The implementation of the new integrated information system has opened up several opportunities for the business management and in particular for the management control. However, so far, only part of these opportunities have been exploited. Furthermore, while it could be acknowledged that the new system facilitated the changes in management control both in its material and immaterial dimensions, it could not be concluded that they were the result of the implementation of the new system. Many other factors have interacted within the process of management control change. For example, of paramount importance has been the controller’s determination to enact the change. The case study analyzes these factors and the way in which they have jointly facilitated and/or hindered the management control change

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Life cycle management has gained traction in the last decades. However, even today it is not yet implemented in all companies due to lack of the connection between sustainability and value creation. In fact, managers are pressed to deliver value, and their performance is measured on how well they deliver the value. In this chapter the authors contribute to bridging the gap between sustainability science and business management by application of life cycle assessment (LCA) in corporate sustainability and aligning it with business activities/functions and value creation. They illustrate the context of corporations, sustainable value creation opportunities and the role of different business functions in integrating sustainability in the core business. Two cases demonstrate how business functions can use LCA-based insights for business decisions and how they are directly connected with value creation opportunities