Research Initiatives in Accounting Education: Research Relevance and Research Productivity

2020 ◽  
Vol 35 (4) ◽  
pp. 111-124
Author(s):  
Jared S. Moon ◽  
David A. Wood
Keyword(s):  
Decision Making ◽  
Research Productivity ◽  
Accounting Education ◽  
Data Driven ◽  
Faculty Research ◽  
Faculty Research Productivity ◽  
Research Findings ◽  
Using Data ◽  
Research Initiatives ◽  
Inform Decision Making

ABSTRACT Research in accounting education has evolved to include, among other areas, research relevance, faculty research productivity, and the use of journal lists. These topics offer new areas for research, including investigating the benefits and risks of relevant/irrelevant research, how effectively faculty research is evaluated, the potential consequences of using journal lists, and much more. Although these areas have significant and wide-ranging effects on faculty, much more empirical data are needed to inform decision making. This paper highlights these issues and makes suggestions for additional research to help the academy make better decisions by using data-driven research findings.

Determinants of Faculty Research Productivity in Augustinian Higher Education Institutions in Luzon

2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Alvin V. Nuqui ◽  
Reynaldo C. Cruz
Keyword(s):  
Higher Education ◽  
Research Productivity ◽  
Higher Education Institutions ◽  
Faculty Members ◽  
Faculty Research ◽  
Professional Literature ◽  
Support Mechanism ◽  
Dissemination Of Research ◽  
Faculty Research Productivity ◽  
Research Findings

This study assessed the determinants of faculty research productivity in Augustinian higher education institutions (HEIs) in Luzon. Findings of the study suggest that there is still a need for Augustinian HEIs in Luzon to further advance the faculty members’ educational experiences and background in research particularly in giving exposures to current professional literature and in the dissemination of research findings. Majority of the higher education faculty of Augustinian higher education institutions has recognized the value of scholarship as shown by their interest in doing research and taking small steps in attaining real work of research scholar. The findings of the study indicate that there is so much that can be desired in terms of improving the research productivity of the faculty members of Augustinian schools. Faculty research productivity in Augustinian HEIs in Luzon is significantly influenced by the extent of research promotion of institutions in terms of promotion of the research environment and providing mentors’ assistance. Just like any other Philippine HEIs, Augustinian schools haggle similar problems and issues on research productivity such as budget availability, institutional support mechanism and others.   Keywords - Research productivity, Augustinian higher education institutions, Determinants, Faculty member, Research

Type A behavior and faculty research productivity: What are the mechanisms?

1984 ◽  
Vol 34 (3) ◽  
pp. 402-418 ◽  
Author(s):  
M.Susan Taylor ◽  
Edwin A. Locke ◽  
Cynthia Lee ◽  
Marilyn E. Gist
Keyword(s):  
Research Productivity ◽  
Type A ◽  
Type A Behavior ◽  
Faculty Research ◽  
Faculty Research Productivity

scholarly journals Analysis of Decision Making Process in Moneyball: The Art of Winning an Unfair Game

The Winners ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 57
Author(s):  
Mochamad Sandy Triady ◽  
Ami Fitri Utami
Keyword(s):  
Decision Making ◽  
Excellent Result ◽  
Data Driven ◽  
Decision Making Process ◽  
Data Driven Decision Making ◽  
General Manager ◽  
Use Of Data ◽  
Bottom Position ◽  
Using Data ◽  
Baseball Team

Billy Beanes’s success in using data-driven decision making in baseball industry is wonderfully written by Michael Lewis in Moneyball. As a general manager in baseball team that were in the bottom position of the league from the financial side to acquire the players, Beane, along with his partner, explored the use of data in choosing the team’s player. They figured out how to determine the worth of every player.The process was not smooth, due to the condition of baseball industry that was not common with using advanced statistic in acquiring   players. Many teams still use the old paradigm that rely on experts’ judgments, intuition, or experience in decision making process. Moneyball approached that using data-driven decision making gave excellent result for Beane’s team. The team won 20 gamessequently in the 2002 season and also spent the lowest cost per win than other teams.This paper attempts to review the principles of Moneyball – The Art of Winning an Unfair Game as a process of decision making and gives what we can learn from the story in order to win the games, the unfair games.

Using Bad News to Make Good Decisions

2011 ◽  
pp. 358-374
Author(s):  
Margaret Johnson ◽  
Larry Hovey ◽  
Pam Tipton
Keyword(s):  
Decision Making ◽  
Bad News ◽  
Technical Problems ◽  
Using Data ◽  
Inform Decision Making ◽  
The Way

Along the way, a number of personnel, organizational, and technical problems were encountered, and many were resolved. What did became clear is that using data to inform decision making is an evolving process that can provide a solid basis for continuous program improvements.

scholarly journals The Rapid Adoption of Data-Driven Decision-Making

2016 ◽  
Vol 106 (5) ◽  
pp. 133-139 ◽  
Author(s):  
Erik Brynjolfsson ◽  
Kristina McElheran
Keyword(s):  
Decision Making ◽  
Companion Paper ◽  
Census Bureau ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Manufacturing Plants ◽  
Using Data ◽  
Large Representative ◽  
The U.S ◽  
Case Based

We provide a systematic empirical study of the diffusion and adoption patterns of data-driven decision making (DDD) in the U.S. Using data collected by the Census Bureau for a large representative sample of manufacturing plants, we find that DDD rates nearly tripled (11%-30%) between 2005 and 2010. This rapid diffusion, along with results from a companion paper, are consistent with case-based evidence that DDD tends to be productivity-enhancing. Yet certain plants are significantly more likely to adopt than others. Key correlates of adoption are size, presence of potential complements such as information technology and educated workers, and firm learning.

Evaluation of the Performance of STEM Academies in Jamaica: Using Data to Inform Decision-making

2019 ◽  
Vol 18 (1) ◽  
pp. 103-131
Author(s):  
Kamilah Hylton ◽  
Kadia Hylton-Fraser ◽  
Natalie Guthrie-Dixon
Keyword(s):  
Decision Making ◽  
Using Data ◽  
Inform Decision Making
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