Effect of internal cost management,information systems integration,and absorptive capacity on inter-organizational cost management in supply chains

Inter-organizational cost management is a strategic cost management approach to managing costs that span organizational boundaries in supply chains. Drawing on the resource-based view of the firm, we develop a model to predict which inter-related resources might enable companies to manage inter-organizational costs. We test this model using a survey of managerial accountants whose organizations are part of a supply chain. Using structural equation modeling, we conclude that the resources of internal electronic integration, external electronic integration, internal cost management, and absorptive capacity play significant direct and indirect roles in the development of an inter-organizational cost management (IOCM) resource. We find that these resources are inter-related and together are useful in enabling companies to ultimately benefit from managing inter-organizational costs. We find in particular the importance of relational resources associated with absorptive capacity in the development of an IOCM resource. Our research contributes to theory and practice by explaining how specific resources can be combined in allowing companies to better manage inter-organizational costs.     

On the use of partial least squares path modeling in accounting research

Partial least squares (PLS) is an approach to structural equation modeling (SEM) that is extensively used in the social sciences to analyze quantitative data. However, PLS has not been as readily adopted in the accounting discipline. A review of the accounting literature found 20 studies in a subset of accounting journals that used PLS as the data analysis tool. PLS allows researchers to analyze the measurement model simultaneously with the structural model and allows researchers to adopt more complex research models with both moderating and mediating relationships. This paper assists accounting researchers that may be interested in adopting PLS as an analysis tool. We explain the benefits of using PLS and compare and contrast this analysis approach with both ordinary least squares regression and covariance-based SEM. We also explain how the PLS algorithm works to derive estimates for the measurement and structural models. To further assist researchers interested in using PLS, we offer guidelines in the development of research models, analysis of the data, and the interpretation of these results with PLS. We apply these guidelines to the accounting studies that have used PLS and offer further recommendations about how researchers could apply PLS in future accounting research.     

Peer Ostracism as a Sanction Against Wrongdoers and Whistleblowers

Journal of Business Ethics - Retaliation against whistleblowers is a well-recognized problem, yet there is little explanation for why uninvolved peers choose to retaliate through ostracism. We...