Bala Balachandran
Professor Emeritus of Accounting Information & Management at Kellogg School of Management
Biography
Kellogg School of Management
Bala Balachandran began his teaching career in 1960 while a graduate student at Annamalai University, India. In 1967 he moved to the University of Dayton and in 1971, to Carnegie-Mellon University, Pittsburgh, where he taught management courses while working on his doctorate. In 1973 he joined the Kellogg School of Management faculty. He was Chairman of the Department of Accounting Information and Management from 1979 - 1983. In 1984 he was appointed Professor of Accounting Information and Management and was Director of the Accounting Research Center from 1985-2006.
Professor Balachandran's teaching interests include managerial accounting, auditing, management information systems, and mathematical programming. He is one of three Kellogg faculty members who started the Information Resource Management Program (IRM) at Northwestern in 1974. He has authored more than 55 research articles and is currently writing a managerial accounting textbook with emphasis on cost management in an automated manufacturing environment. He is department editor in accounting for Management Science, associate editor for The Accounting Review and on the editorial boards of Contemporary Accounting Research, and the Journal of Accounting, Auditing and Finance.
Professor Balachandran's research deals with performance evaluation, cost management, audit planning, allocation models, and forecasting. His recent work includes auditors' legal liability and game theoretic cost allocation models with transfer pricing. His work has earned numerous scholastic honors, awards, and fellowships, and he serves as a consultant to senior management in industry, as well as to the U.S. Air Force, in the areas of accounting, forecasting, and strategic decision support systems. He has provided executive education for various companies and the government and is the program director for "Managing Cost Information for Effective Strategic Decisions," a three-day program conducted at the James L. Allen Center each year during the spring and fall.
Education
PhD, 1973, Industrial Administration, Carnegie Mellon University
MS, 1963, Applied Statistics, Annamalai University
MA, 1961, Mathematics, Statistics, Annamalai University
BS, 1959, Mathematics, Statistics, Annamalai University
Academic Positions
Director, Kellogg School of Management, Northwestern University, 1985-present
J.L. Kellogg Distinguished Professor in Accounting, Information, and Management, Kellogg School of Management, Northwestern University, 1984-present
Professor of Accounting, Information Systems and Decision Sciences, Kellogg School of Management, Northwestern University, 1979-1979
Chairman and Professor of Accounting, Information Systems and Decision Sciences, Kellogg School of Management, Northwestern University, 1979-1983
Associate Professor of Decision Sciences, Kellogg School of Management, Northwestern University, 1973-1976
Assistant Professor, University of Dayton, 1971-1973
Assistant Professor of Industrial and Systems Engineering, University of Dayton, 1970-1971
Instructor, Industrial Engineering, University of Dayton, 1969-1970
Assistant Professor of Statistics/Mathematics, Department of Statistics, Annamalia University, 1960-1967
Honors and Awards
Kellogg Alumni Professor of the Year Award, Kellogg School of Management, 1997
Sidney J. Levy Teaching Award, Kellogg School of Management, 1996-1997
Videos
Dr. Bala V Balachandran speech at Great Lakes Convocation 2016
AIMLA Enables Strategic Profitability for the Technopreneur by Prof Bala Balachandran
Bala V Balachandran - Globality Partners
Padma Shri Dr.Bala V Balachandran, Founder - Great Lakes Institute
Bala V Balachandran, Founder, Chairman & Dean, Great Lakes Institute of Management - Part 3
Dr. Bala V Balachandran Founder and Dean, Great Lakes Institute of Management.
Words from Legend | Life lessons from Padma Shri Dr. Bala V BalachandranPart 2 | A Toast To Remember
Business Clinique Webinar - Strategic Performance with Purpose - Dr. Bala Balachandran
BrilTalks Dr. Bala V Balachandran- Life Lessons from a Top 50 Most Influential Indian American
A Tribute to Mr. Dataram Narasingarao | Dr. Bala V. Balachandran
Bala V. Balachandran Ameritas In-service Professor
Manage with the Heart | Episode 1 | Daaji | Dr Adizes | Dr Bala Balachandran | 8 May 2020
A Legendary journey | Life lessons from Padma Shri Dr. Bala V Balachandran Part 1
ADDING SMILES "THOUGHT LEADER AWARD" - PROF. BALA V BALACHANDRAN
Dr. Bala V Balachandran on MBA in Technopreneurship
Read about executive education
Cases
Balachandran, Bala and Swapan K Chaudhuri. 1999. Growth Strategies Creating Shareholder Value. Indian Accounting Review. 3(1): 1-17.
The corporate history is abound with cases to show how companies embark on rapid sales growth, report happy bottom line and earning per share, and then experience perils of growth. History also suggests that not all growth companies with long-term payoffs are rewarded in the stock market. Over the last one decade or so, academicians and professionals have therefore put more emphasis on value creation for shareholders in crafting the business strategies. No matter what growth strategies are pursued by the companies, they must pass through the benchmark of shareholder value creation. What does constitute shareholder value? How does often growth lead to destruction of shareholder value? What are the key value drivers to be analysed in evaluating alternative growth strategies? This paper presents a comprehensive value creation model to address these questions. Besides, a set of propositions are being derived from this model and their practical implications to strategy formulation discussed.
Balachandran, Bala. 1976. Optimal Facility Location Under Random Demand with General Cost Structure. Naval Research Logistics Quarterly. 23(3): 421-436.
This paper investigates the problem of determining the optimal location of plants, and their respective production and distribution levels, in order to meet demand at a finite number of centers. The possible locations of plants are restricted to a finite set of sites, and the demands are allowed to be random. The cost structure of operating a plant is dependent on its location and is assumed to be a piecewise linear function of the production level, though not necessarily concave or convex. The paper is organized in three parts. In the first part, a branch and bound procedure for the general piecewise linear cost problem is presented, assuming that the demand is known. In the second part, a solution procedure is presented for the case when the demand is random, assuming a linear cost of production. Finally, in the third part, a solution procedure is presented for the general problem utilizing the results of the earlier parts. Certain extensions, such as capacity expansion or reduction at existing plants, and geopolitical configuration constraints can be easily incorporated within this framework.
Balachandran, Bala. 1975. An operator theory of parametric programming for the generalized transportation problem-III-weight operators. Naval Research Logistics Quarterly. 22(2): 297-316.
This paper investigates the effect on the optimum solution of a capacitated generalized transportation problem when any coefficient of any row constraint is continuously varied as a linear function of a single parameter. The entire analysis is divided into three parts. Results are derived relative to the cases when the coefficient under consideration is associated, to a cell where the optimal solution in that cell attains its lower bound or its upper bound. The discussion relative to the case when the coefficient under consideration is associated to a cell in the optimal basis is given in two parts. The first part deals with the primal changes of the optimal solution while the second part is concerned with the dual changes. It is shown that the optimal cost varies in a nonlinear fashion when the coefficient changes linearly in certain cases. The discussion in this paper is limited to basis-preserving operators for which the changes in the data are such that the optimum bases are preserved. Relevant algorithms and illustrations are provided throughout the paper.
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