Bayesian assessment of Lorenz and stochastic dominance

We introduce a Bayesian approach for assessing Lorenz and stochastic dominance. For two income distributions, say X and Y, estimated via Markov chain Monte Carlo, we describe how to compute posterior probabilities for: (i) X dominates Y, (ii) Y dominates X and (iii) neither Y nor X dominates. The proposed approach is applied to Indonesian income distributions using mixtures of gamma densities that ensure flexible modelling. Probability curves depicting the probability of dominance at each population proportion are used to explain changes in dominance probabilities over restricted ranges relevant for poverty orderings. They also explain some seemingly contradictory outcomes from the p-values of some sampling theory tests.     

Network ties and entrepreneurial orientation: Innovative performance of SMEs in a developing country

This study investigates the role of intra-cluster ties, extra-cluster ties, and entrepreneurial orientation in shaping firms’ innovative performance. We conduct our analysis on a primary data set of 120 small and medium enterprises located in the Cibaduyut footwear-manufacturing cluster, Indonesia. We explore the effectiveness of knowledge acquisition through intra-cluster ties and extra-cluster ties on innovative performance. We find that extra-cluster ties mediate the relationship between proactiveness and innovative performance. Also, a combination of high extra-cluster ties and risk taking exert a positive impact on innovative performance. Surprisingly, we find that risk taking negatively moderates the influence of intra-cluster ties on innovative performance. Over-reliance on within-cluster knowledge sharing may result in the diffusion of redundant knowledge rather than making new knowledge available to the firm. Overall, our findings point to the synergistic effects of entrepreneurial orientation and extra-cluster ties on innovative performance.     

Application of Fuzzy Risk Analysis for Selecting Critical Processes in Implementation of SPC with a Case Study

Fuzzy risk analysis is widely used in risk assessment of components by linguistic terms. Fuzzy numbers are used to quantify the associated uncertainty. This study employs fuzzy risk analysis to evaluate processes for implementing statistical process control (SPC) in a specified manufacturing system. To reach this goal, fuzzy risk analysis has been applied based on both ranking and similarity of generalized trapezoidal fuzzy numbers in a stepwise procedure. Therefore, a new approach has been introduced for fuzzy risk analysis of processes to overcome the shortcomings of previous fuzzy risk analysis approaches. As a result, fuzzy risk analysis is used as a decision making technique to select critical processes under uncertainty. Also, the application of the proposed SPC implementation algorithm is illustrated in the manufacturing line of a car battery factory.     

Stakeholder Engagement in Sustainability Reporting: Evidence of Reputation Risk Management in Large Australian Companies

The objective of this research is to examine whether stakeholder engagement in sustainability reporting constitutes the process of managing reputational risk. This research utilises Shrives and Brennan's (2017) framework of rhetorical strategies of non‐compliance to obtain empirical evidence of reputation risk management (RRM) in the context of stakeholder engagement in sustainability reporting. Quantitative and qualitative content analysis was undertaken on 154 sustainability disclosures in both the annual and sustainability reports of large Australian companies. This research finds that large Australian companies engage with their stakeholders to manage reputational risk: to increase market share and pre‐empt social issues. It is evident that large Australian companies use several forms of rhetorical statements in their sustainability disclosures with respect to RRM. However, there is no evidence that they shirk their responsibilities.     

Blended versus face-to-face: Evidence from a graduate corporate finance class

The author compared students' perceptions of prelecture videos replacing face-to-face (F2F) classes in blended and F2F graduate corporate finance classes. Using 176 anonymous survey responses from eight F2F and two blended classes during the 2014–2016 year, the author found that students in the blended classes had a greater belief that prelecture videos could replace F2F classes than did students in the F2F classes. Students in the blended classes showed a greater understanding of the flipped lecture format and performed better than students in the F2F classes. Students in the blended classes also tended to rate the instructor's teaching effectiveness lower than students in the F2F classes.