Doctor of Philosophy (Agri Business) Programme

IABM is taking lead and proud to announce admission to its batch of Ph.D. (Agri Business) for the academic session 2019-20.

Course Curriculum

The course curriculum is designed to sharpen skill of the students in the area of education and consultancy with special reference to agri business. Pedagogy is designed so as to develop critical thinking on the knowledge acquired through the courses during management degree.

Course Schedule for Ph. D. (AGRI BUSINESS)

Distribution of Courses in Course

Compulsory Courses : 18 credit hours
Seminar : 2 credit hours
Preliminary : 4 credit hours
Research : 40 credit hours

Compulsory Courses

Semester I

Semester Course Number Course Title Credit
Semester I Econometrics for Agri Business ABM 611 2+1
Communication for Management Teachers ABM 612 0+2
Research Methods I ABM 613 2+1
Agri Input & Output Marketing ABM 614 3+0
Semester II Research Methods II ABM 621 2+1
International Business ABM 622 2+0
Training & Development for Performance Effectiveness ABM 623 2+0
Semester III Seminar I ABM 691 0+1
Seminar II ABM 692 0+1
Preliminary Examination ABM 631 4
Semester IV & Semester V RESEARCH ABM 699 40

Non-Credit Compulsory Courses: Ph. D. students may be exempted from these courses if already studied during Master's degree.

Course Number Course Title Credits
ABN 511 Library & Information Services 01(0+1)
ABN 521 Technical Writing & Communication Skills 01 (0+1)
ABN 522 Disaster Management 01 (0+1)



Need of the course: The course is mainly designed to solid data base analysis of market and policy variables to back up their business strategies. The emphasis will be given on application rather than theoretical details.

Pedagogy: lectures, discussion, application based assignments and projects.

Text book: Gujarati, Damodar, Basic Econometrics, McGraw-Hill Company.


Introduction: Correlation theory, Basic concept of regression analysis, assumptions of regression model, theory of OLS, properties of least square estimates, maximum likelihood, hypothesis testing, interval estimation, prediction in linear regression model. Heteroskedasticity and autocorrelation, multicollinearity, specification errors, selection of regressors, dummy variables, autoregressive and distributed models. Set of regression equations, casuality and simultaneity: application. Time series econometrics- stationarity, unit roots and co-integrassion, error- correction model, AR, MA, ARMA, ARIMA processes. Qualitative dependent variables – LPM, Logit and probit models.


Course Objective

Communication in management education is not limited to classroom teaching. There are lot of innovative techniques to make teaching and learning interesting, practical and effective. There are various researches are done for methodological and effectiveness aspects. This course will be dealt understanding all the methods of communication for management teaching in learning by doing method and presenting the various researches done in this field.

Course Outline

  1. Management education : Action gaps in education and latest developments and required skills
  2. Communication: Active listening, group communication, Language process
  3. Presentation on readings- recorded and graded: Oral presentation & computer assisted presentations
  4. Theory and techniques: Didacticism, Group work & discussion method, Simulation, facilitation skills and styles for experiential learning
  5. Emotional perspective in teaching
  6. Learning in management education: Experiential learning, Action Learning, Group learning
  7. Simulation and games, Role Play
  8. Teaching and learning through Electronic Media
  9. Case method of teaching: Writing a case and teaching note
  10. Critiquing a research article
  11. Literature review


Course Objective
The objective of the course is to enable research scholars in developing the knowledge and skills required to specify, evaluate and utilise different types of unstructured and semi-unstructured information. They are required to develop competence in problem formulation, hypothesis generation and method of carrying scientific research in situations where research work plays a critical role. The course is practical in nature and students are expected to learn by doing live projects and studying the latest researches in different fields related to agri business.

Course outline

  1. Translating problems to research issues: Selection of qualitative Vs quantitative research definitions, objectives, research methodologies rationale, sample/sources of data, data collection techniques
  2. Questionnaire designing: use of measurement and scaling techniques, reliability testing.
  3. Fieldwork: Data collection, gaining access and entry, ethical considerations, identifying key informants, validation and evaluation of fieldwork, data preparation, field notes and recording
  4. Hypothesis Development and Theoretical Modelling.
  5. Business Analytics, Business Intelligence, Types of Business Analytics, Introduction to predictive modelling/analytics.
  6. Linear programming
  7. Contemporary applications of marketing research


Course Objective
Agricultural Input & Output marketing is a dynamic and competitive field where lot is to be done looking to the gap in technology existing and possible. Changes are taking place in manifolds ranging from farming practices to trading in domestic and international markets. Presence of private players, infrastructure development, impact on prices, concept of e mandietc are becoming more important to understand in current scenario. Scholars will also study the researches and articles to understand interesting changes going on in this field.

Course Outline

  1. Agriculture input and output marketing environment-Current status, trends, market structure, infrastructure, competition
  2. Government intervention in agricultural inputs and outputs marketing
  3. Buyers/users behaviour
  4. Market Segmentation
  5. Product and Pricing
  6. Promotion and advancement in promotional strategies
  7. Marketing Channels for different agri inputs and outputs
  8. Evaluation of marketing costs and efficiencies
  9. WTO and Indian Agriculture
  10. Case Studies- Competitive marketing strategies and advancements in agricultural marketing


Course Objective
Once the students are equipped with the information required for interpretive research, RM II will train the students with advanced analytical tools and their uses.
Course Outline

  1. Hypothesis testing, Analysis of variance and covariance
  2. Correlation and regression
  3. Discriminant and Logit analysis
  4. Factor analysis
  5. Cluster analysis
  6. Multidimensional scaling and conjoint analysis
  7. Data Mining, Data Mining Methods—Data Dredging, Data Fishing, Data Snooping and Process Mining—Business Process Discovery, Conformance Checking and Model Enhancement.
  8. Arena Modelling, Applications of Statistical Softwares like SAS, Modelling with statistical softwares.
  9. Report preparation and presentation
  10. 10. International Marketing Research


Course Objective
The objective of the paper is to acquaint the students with the fundamentals of international business, its environment and complexities. The paper provides exposure to multiple dimensions of the field and imparts international perspective to business decisions.
Course Outline

  1. Global trends in international trade and finance; dimensions and modes of IB; structure of IB environment; risk in IB; organizational structure for IB; world trading system and impact of WTO; exchange rate systems; global financial system; barriers to IB; international business information and communication.
  2. Foreign market entry strategies; country evaluation and selection; factors affecting foreign investment decisions; impact of FDI on home and host countries; types and motives for foreign collaboration; control mechanisms in IB.
  3. Decisions concerning global manufacturing and material management; outsourcing factors; managing global supply chain; , International product life cycle, product and branding decisions; managing distribution channels; international promotion mix and pricing decisions; counter trade practices; mechanism of international trade transactions. EXIM policy of India. Export costing and pricing, Export procedures and export documentation. Export assistance and incentives in India.
  4. Harmonizing accounting difference across countries; currency translation methods for consolidating financial statements; the LESSARD-LORANGE Model; cross cultural challenges in IB; international staffing decisions; compensation an performance appraisal of expatriate staff; ethical dilemmas and social responsibility issues.


Course Objective
This course is designed to provide an indepth understanding and enable the participants to manage training processes and performance system for developing human resource.
Course Outline

  1. Training- concept and rationale; training processes, Organization and Management of training function; Training needs assessment, competency mapping
  2. Designing the training programme: attributed and factors influencing; learning process; learning styles; training climate and pedagogy; developing training modules; Training aids.
  3. Training methods compared with objectives, learning process and facilities, Developing Group and the Climate: the social process – indicators of group development, the training climate, Trainers And Training Style: Personal needs of trainers, power and influence, trainers’ role, trainers’ style, Post training support for improved performance at work.
  4. Evaluation of training-need for evaluation, principles of evaluation, criteria and approaches; return on investment in training, process of calculating ROI in training; emerging trends in training and development; new perspectives on training cross culture training, e-learning.
  5. Establishing and operationalising performance management system; measuring performance- results and _ehaviour; conducting performance review discussions; harnessing performance management system for performance improvement.
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