Search results

We discuss an accounting fair designed to foster a more favorable perception of the accounting profession and to identify accounting career opportunities, thereby increasing students’ interest in the accounting major. The fair is a unique model that provides students with accurate information about the accounting profession, rather than to recruit firm employees. The model can be tailored to meet other objectives of accounting departments, such as, to increase diversity of students selecting the major, to increase the quality of students in the major, or other objectives a department might deem appropriate.

We studied the effects of the fair on students’ perceptions of the accounting profession and interest in the accounting major, using pre- and post-accounting fair surveys. Our statistical results indicate the accounting fair was successful in fostering a more favorable perception of the accounting profession. As a result, students’ interest in the accounting major increased, which is consistent with the actual increase in the number of accounting majors at our institution since implementing the fair. Similarly, by employing a fair similar to ours, the achievement of other departmental objectives should result from fostering a more favorable perception of the accounting profession.

The purpose of this paper is to explore the influence and advantages of leadership multiculturalism on global strategy development through cross-border mergers and acquisitions (CBA) and corporate social responsibility (CSR) from emerging market multinational companies (EMNCs) expanding into emerged markets. The key contribution of asymmetric multiculturalism is a novel finding based on inductive research. We fill a gap by further linking business leader characteristics and corporate strategic actions and examining how multicultural business leaders from emerging markets can be highly effective at CBA and CSR.

The paper draws on in-depth interviews, observations and documentary evidence analyzed with iterative coding, construct definition and thematic development to understand how leadership multiculturalism affects CBA and CSR in an EMNC over time.

The new construct of leadership asymmetric multiculturalism describes strategic advantages accruing to leaders from developing markets who are culturally fluent in both emerging and emerged market milieus. The construct contributes to emergent research on the rise of multicultural leaders and their strategic advantages and delineates a pathway toward identifying advantages of emerging over emerged market business leaders.

The research addresses specific CBA and CSR strategies within one emerging market region and EMNC. Future research should further articulate and validate the key construct of asymmetric multiculturalism, further examine its sources, draw more explicit comparisons with data from emerged market leaders, and explore the applicability of these findings to strategic actions and advantages in both emerging and emerged markets.

Emerging market corporate leaders should identify and develop pertinent aspects of their own asymmetric multiculturalism in enacting CBA and CSR strategy with respect to EMNCs and firms from developed markets. Emerged market leaders should become more aware of and cultivate their own multiculturalism.

Asymmetric multiculturalism can be accompanied by heightened awareness of global citizenship — including codes of ethics, environmental challenges, community outreach and fair labor practices — which, in tandem with CBA, can strengthen emerging market firms’ performance and reinforce their global stature and reputation.

Asymmetric multiculturalism is a new explanatory construct in the sociological, economic and management disciplines. Emerging markets corporate leaders utilize their multicultural competence to accelerate global CBA and CSR activity and advance strategic opportunities for their firms. The identification of advantages deriving from emerging market leadership capabilities is an unusual finding given the more typical emphasis on the privileges of emerged market leaders and firms.

This purpose of this paper is to provide an overview of the theoretical background and applications of inverse reinforcement learning (IRL).

Reinforcement learning (RL) techniques provide a powerful solution for sequential decision making problems under uncertainty. RL uses an agent equipped with a reward function to find a policy through interactions with a dynamic environment. However, one major assumption of existing RL algorithms is that reward function, the most succinct representation of the designer's intention, needs to be provided beforehand. In practice, the reward function can be very hard to specify and exhaustive to tune for large and complex problems, and this inspires the development of IRL, an extension of RL, which directly tackles this problem by learning the reward function through expert demonstrations. In this paper, the original IRL algorithms and its close variants, as well as their recent advances are reviewed and compared.

This paper can serve as an introduction guide of fundamental theory and developments, as well as the applications of IRL.

This paper surveys the theories and applications of IRL, which is the latest development of RL and has not been done so far.