The relationship between motivation,learning approaches,academic performance and time spent

Previous literature calls for further investigation in terms of precedents and consequences of learning approaches (deep learning and surface learning). Motivation as precedent and time spent and academic performance as consequences are addressed in this paper. The study is administered in a first-year undergraduate course. Results show that the accounting students have a slightly higher score for deep learning compared to surface learning. Moreover, high intrinsic motivation and extrinsic motivation have a significant positive influence on deep learning. Next, deep learning leads to higher academic performance; surface learning on the other hand leads to lower academic performance. The effect of deep learning on performance still holds, when we control for time spent, gender and ability. Consequently we can conclude that a deep learning approach is much more than ‘simply’ spending a lot of time on studying.     

The stylized facts about the behavior of manufacturers' inventories and backorders over the business cycle: 1959–1980

Recent theoretical work has highlighted the role of inventories in propagating business cycles. This paper attempts to provide an empirical foundation for current and future research on the role inventories play in business cycles. The evidence presented here indicates that inventories and backorders are major variables in predicting output fluctuations. Further, the evidence is that disaggregating inventories by stage-of-fabrication is important in predicting output. In concert with previous findings, our results suggest that disaggregated inventories ought to be a component of models of the business cycle.     

Business Schools and the Development of Responsible Leaders: A Proposition of Edgar Morin’s Transdisciplinarity

The subprime mortgage crisis which was caused to a large degree by questionable mortgage lending and securitization practices that were furthered by deregulatory policies devastated the economy, led to large scale unemployment, and caused the foreclosure of millions of homes. There is evidence that numerous mortgage companies, financial firms, rating agencies, and high-level professionals were involved in unethical and often fraudulent business practices leading to the most severe economic meltdown since the Great Depression. In spite of the great economic and social harm, there was a lack of criminal sanctions against those companies and individuals, who were involved in creating the crisis that reached even global dimensions. This article analyses the reasons for and the possible social impacts of the lack of criminal sanctions against those who crossed the line between unethical and criminal business practices.     

Think Global, Invest Responsible: Why the Private Equity Industry Goes Green

The growth of socially responsible investment (SRI) on public financial markets has drawn considerable academic attention over the last decade. Discarding from the previous literature, this article sets up to analyze the Private Equity channel, which is shown to have the potentiality to foster sustainable practices in unlisted companies. The fast integration of the environmental, social and governance issues by mainstream Private Equity investors is unveiled and appears to have benefited from the maturation of SRI on public financial markets and the impetus of large conventional actors. Hypotheses on the characteristics and drivers of this movement are proposed and tested on a unique database covering the French Private Equity industry in 2011. Empirical findings support that Private Equity socially responsible investing is characterized by investor engagement and strategically driven by a need for new value creation sources, increased risk management and differentiation. In particular, results show that independent funds, which need to attract investors, are more likely than captive funds to develop socially responsible practices. Evolution of the movement and future research paths are proposed.     

Does the ideal entrepreneurial team exist?

Up until now, studies on entrepreneurs and their relationship to business performance have focused primarily on analyzing the entrepreneur as an individual. While studies have been conducted on the entrepreneurial team, their focus has centered on team size and degree of diversity - cultural, age, gender - leaving a gap in the analysis of the effect of a team’s competencies on the outcome of the ventures. This research aims to help fill this gap by using the psychometric instrument DISC. This research analyzes entrepreneurship by opportunity, evaluating the performance of 109 Colombian companies and the composition of their entrepreneurial teams. The results obtained provide the basis for better understanding of the make-up of entrepreneurial teams, considering the variances and interdependencies of the competency development level among their members. They reveal that identifying the similarity or heterogeneity in certain groups of competencies, as well as how developed they are, can have an impact on the ventures’ success. The cluster analysis carried out suggests that highly developed competencies associated with the ‘dominance’ dimension in the members of an entrepreneurial team are essential. These must be above-average in heterogeneous levels among the team members. They must also be accompanied by the ‘steadiness’ competency provided by the team-oriented partners, as well as an average, homogeneous level of competencies associated with ‘conscientiousness’ if the new business is to achieve good financial results in its early years. The ‘influence’ dimension did not play a significant role. The teams made up of more homogeneous partners obtained the poorest financial results. Furthermore, the study provides new perspectives for measuring business performance in a venture, as well as for evaluating the relationships between the entrepreneurial team's competencies and the company’s results in the first years of business. Accordingly, it offers inputs for future research.