Pedagogical learnings for management education : developing creativity and innovation

This paper argues that management education needs to consider a trend in learning design which advances creative learning through an alliance with art-based pedagogical processes. A shift is required from skills training to facilitating transformational learning through experiences that expand human potential, facilitated by artistic processes. This creative learning focus stems from a qualitative and quantitative analysis of an arts-based intervention for management development, called Management Jazz, conducted over three years at a large Australian University. The paper reviews some of the salient literature in the field, including an ‘Artful Learning Wave Trajectory’ Model. The Model considers four stages of the learning process: capacity, artful event, increased capability, and application/action to produce product. Methodology for the field-based research analysis of the intervention outcomes is presented. Three illustrative examples of arts-based learning are provided from the Management Jazz program. Finally, research findings indicate that artful learning opportunities enhance capacity for awareness of creativity in one’s self and in others, leading, through a transformative process, to enhanced leaders and managers. The authors conclude that arts-based management education can enhance creative capacity and develop managers and leaders for the 21st century business environment.

Identification of factors predicting clickthrough in Web searching using neural network analysis

In this research, we aim to identify factors that significantly affect the clickthrough of Web searchers. Our underlying goal is determine more efficient methods to optimize the clickthrough rate. We devise a clickthrough metric for measuring customer satisfaction of search engine results using the number of links visited, number of queries a user submits, and rank of clicked links. We use a neural network to detect the significant influence of searching characteristics on future user clickthrough. Our results show that high occurrences of query reformulation, lengthy searching duration, longer query length, and the higher ranking of prior clicked links correlate positively with future clickthrough. We provide recommendations for leveraging these findings for improving the performance of search engine retrieval and result ranking, along with implications for search engine marketing