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The purpose of this study is twofold. The first purpose is to inform faculty who are thinking of becoming a department head about the challenges they face if they choose to pursue a department head opportunity. The second purpose is to provide insight into the leadership of the accounting departments by looking at various workload aspects of department heads. The authors surveyed accounting department heads from programs with the Association to Advance Collegiate Schools of Business (AACSB) accounting accreditation, AACSB business only accreditation, and non-AACSB accreditation. Surveys were sent to 918 individuals listed as the leader of an accounting program in the 2016–2017 Hasselback Accounting Directory with 144 individuals responding (15.7% response rate). In addition to the workload of the department head in the areas of teaching, research, and service, the study analyzed the major challenges and difficulties the department head faces. The study also sought responses from survey participants on additional issues such as the benefits of AACSB accreditation and compensation.

For over a decade now, various stakeholders in accounting education have called for the integration of technology competencies in the accounting curriculum (Association to Advance Collegiate Schools of Business (AACSB), 2013, 2018; Accounting Education Change Commission (AECC), 1990; American Institute of Certified Public Accountant (AICPA), 1996; Behn et al., 2012; Lawson et al., 2014; PricewaterhouseCoopers (PWC), 2013). In addition to stakeholder expectations, the inclusion of data analytics as a key area in both the business and accounting accreditation standards of the AACSB signals the urgent need for accounting programs to incorporate data analytics into their accounting curricula. This paper examines the extent of the integration of data analytics in the curricula of accounting programs with separate accounting AACSB accreditation. The paper also identifies possible barriers to integrating data analytics into the accounting curriculum. The results of this study indicate that of the 177 AACSB-accredited accounting programs, 79 (44.6%) offer data analytics courses at either the undergraduate or graduate level or as a special track. The results also indicate that 41 (23.16%) offer data analytics courses in their undergraduate curriculum, 61 (35.88%) at the graduate level, and 12 (6.80%) offer specialized tracks for accounting data analytics. Taken together, the findings indicate an encouraging trend, albeit slow, toward the integration of data analytics into the accounting curriculum.

Since at least the 1980s, the accounting profession has discussed and written about the gap between academics and the practice of accounting. More recently, accounting academics have joined the call for increased faculty engagement with the accounting profession. As a result, the 2018 Association to Advance Collegiate Schools of Business International (AACSB) Eligibility Procedures and Standards for Accounting Accreditation include “Engagement” as a significant pillar of the new standards. The objective is to challenge accounting department faculty to engage more intentionally with accounting practitioners. Accounting Advisory Councils might represent an important opportunity to achieve such engagement. The authors conducted a survey to gain an understanding of advisory councils and how they might address the concerns of the accounting profession for more interaction and collaboration between the academy and the profession. It is encouraging that 96% of our AACSB accounting accredited respondents indicated that they have a functioning Accounting Advisory Council and that they believe the Council is very valuable in support of the department’s mission. In addition, the accounting department leaders reported a very high level of engagement with council members outside regular meetings. The survey results of this chapter provide additional insights on organization, membership, and engagement regarding Accounting Advisory Councils.

The accounting profession is beginning to demand data analytics skills from its professionals to handle the increasing amount of data available to address accounting questions. Indeed, the explosion of data availability and data are changing the accounting profession, providing accountants the opportunity to continue as key financial information providers to decision-makers. We conducted a survey of accounting department chairs to help understand if, when and how accounting programs would include data analytics in its curriculum. The authors find that 90.7% of accounting department chairs believe that data analytics belongs in the accounting curriculum, with 59.3% planning to introduce an accounting data analytics course in the next three to five years. Most (66.5%) prefer an accounting data analytics course as compared to the general business analytics course and more than half of respondents (56.2%) predict that their coverage of data analytics will be incorporated both throughout the regular accounting curriculum and in a standalone data analytics course. Combined with the requirement of 2018 Association to Advance Collegiate Schools of Business standards, the authors propose that data analytics should be incorporated both in the undergraduate level and graduate level, starting from basic analytics tools and ending with advanced emerging techniques.

This chapter describes how to leverage the Ignatian pedagogy paradigm (IPP) in accounting education to facilitate an effective learning experience to integrate current accounting practice, accounting professionals, and the academic curriculum. Prior research and various entities focusing on accounting education, such as The Pathways Commission (TPC) and the AACSB International, have identified the need for more experiential learning in accounting and a better link between academia and practice. The IPP portrays the Jesuit teaching values that have existed over 450 years, however its teachings are profoundly universal and not tied to any specific faith. The authors explain how the IPP enhances the interactive professional learning experience for students by describing a case taught in our Intermediate Accounting courses. The generalizable approach described in this chapter will hopefully help those involved in accounting programs to facilitate critically important professional learning experiences for their students.

The purpose of this study is to identify the specific skills and abilities within the broad category of data analytics that current business professionals believe are most important for accounting graduates. Data analytics knowledge is clearly important, but this category is broad. Therefore, this study identifies the specific skills and abilities that are most important for accounting graduates so that faculty can create classroom materials most beneficial for the future accounting graduates. In 2013, the Association to Advance Collegiate Schools of Business developed new standards for accounting programs, including standard A7, related to information technology and analytics. The intent of the standard clearly focuses on increasing the level of technology and analytics studied within the accounting curriculum. However, the specific details and methods for achieving the intent of A7 remain an open question. This chapter uses prior research focused on business analytics education to identify potential analytic skills, tools, techniques, and management issues of concern within the accounting profession. A survey of 342 accounting professionals identifies suggested areas of analytic competencies for accounting graduates. Specifically, the authors find preferences for skills related to data interpretation and communication over any individual technical skills or statistical knowledge. These skills suggest a role for accountants as intermediaries who may need to translate analytic activities into business language. Post hoc, the authors examine the survey results for differences based on respondent characteristics. Interestingly, female respondents report lower beliefs about the importance of analytic skills. The authors also find some differences when examining different demographics within the respondents.