A typology of supplier relations: from determinism to pluralism in inter-firm empirical research

In a survey of 196 buyer–supplier relationships in the UK printing industry, eight constructs regarding performance, trust and governance were operationalised. The paper presents the results of a correlation analysis and a cluster analysis. Both yield meaningful results, but the typology of supplier relations obtained by cluster analysis gives more pluralistic and practically relevant insights than the deterministic findings of correlation analysis. Buyers are classified as one of three types: traditional wary traders, committed flexible partners or controlled routine partners. There is a significant positive correlation between performance and trust, of which variance in governance is independent. Implications for management and further research are discussed.     

A Comparison of State-of-the-Art Classification Techniques for Expert Automobile Insurance Claim Fraud Detection

Several state‐of‐the‐art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim fraud detection. The predictive power of logistic regression, C4.5 decision tree, k‐nearest neighbor, Bayesian learning multilayer perceptron neural network, least‐squares support vector machine, naive Bayes, and tree‐augmented naive Bayes classification is contrasted. For most of these algorithm types, we report on several operationalizations using alternative hyperparameter or design choices. We compare these in terms of mean percentage correctly classified (PCC) and mean area under the receiver operating characteristic (AUROC) curve using a stratified, blocked, ten‐fold cross‐validation experiment. We also contrast algorithm type performance visually by means of the convex hull of the receiver operating characteristic (ROC) curves associated with the alternative operationalizations per algorithm type. The study is based on a data set of 1,399 personal injury protection claims from 1993 accidents collected by the Automobile Insurers Bureau of Massachusetts. To stay as close to real‐life operating conditions as possible, we consider only predictors that are known relatively early in the life of a claim. Furthermore, based on the qualification of each available claim by both a verbal expert assessment of suspicion of fraud and a ten‐point‐scale expert suspicion score, we can compare classification for different target/class encoding schemes. Finally, we also investigate the added value of systematically collecting nonflag predictors for suspicion of fraud modeling purposes. From the observed results, we may state that: (1) independent of the target encoding scheme and the algorithm type, the inclusion of nonflag predictors allows us to significantly boost predictive performance; (2) for all the evaluated scenarios, the performance difference in terms of mean PCC and mean AUROC between many algorithm type operationalizations turns out to be rather small; visual comparison of the algorithm type ROC curve convex hulls also shows limited difference in performance over the range of operating conditions; (3) relatively simple and efficient techniques such as linear logistic regression and linear kernel least‐squares support vector machine classification show excellent overall predictive capabilities, and (smoothed) naive Bayes also performs well; and (4) the C4.5 decision tree operationalization results are rather disappointing; none of the tree operationalizations are capable of attaining mean AUROC performance in line with the best. Visual inspection of the evaluated scenarios reveals that the C4.5 algorithm type ROC curve convex hull is often dominated in large part by most of the other algorithm type hulls.     

Managing Legitimacy in Complex and Heterogeneous Environments: Sustainable Development in a Globalized World

The sustainability problems with regard to the production, distribution, and consumption of goods and services increasingly challenge the legitimacy of corporations. The literature distinguishes three strategies that corporations commonly employ to respond to legitimacy problems: adapt to external expectations, manipulate the perception of their stakeholders, or engage in a discourse with those who question their legitimacy. We discuss three approaches to determine the appropriate response strategy: one‐best‐way approach, contingency approach, and paradox approach. We argue that in the face of heterogeneous environments with conflicting demands, corporations that follow a paradox approach are likely to be more successful in preserving their legitimacy than those that adopt one of the other two approaches. We develop a theoretical framework for the application of different response strategies and explore the management of paradoxes by way of structural, contextual, or reflective means.     

Assessing adaptive capacity of water management organizations. The case study of the municipality of Tomave (Bolivia)

Climate change is only one of several pressure and drivers, such as natural disasters, improvements in technologies and changing customers’ behaviors that water organizations have to relate and adapt to. This places new challenges (e.g. dealing with increased exposure, vulnerability, and uncertainty) to water management and require water organizations to change their perspective on how to deal with water issues. This paper builds on a literature review to identify dimensions and criteria of adaptive capacity and presents a conceptual framework to assess organizational adaptive capacity. The developed framework has been tested within the Municipality of Tomave (Bolivia). The paper results emphasize the incapacity to transform routines as the context is changing leads to the construction of barriers and to the inability of an organization to support the process of change of the society. In addition, the study emphasis that the development of a working system based on cooperation requires first that an organization acquires skills and adapt its routines to the new working system. Furthermore, the development of a participatory process of planning and implementation of policies would help to reduce the trade-offs and conflicts related to water management. Linked to this, the development of a system for monitoring and evaluation of policies implemented organization can contribute to build an iterative mechanism so to allow a redefinition and improvement of such policies.