Workshops

Case Workshop

Description

The Case Method, with its emphasis on a learner-centred approach to education, has established itself quite strongly in management education pedagogy. But, as the saying goes, ‘to become a better case teacher, you need to become a better case writer.’ How does one begin? This workshop is premised on the belief that case development opportunities are all around us. The Indian context, with its variety of small and medium enterprises and other organizations, offers tremendous scope to explore a number of issues of wider significance. We will first focus on identifying the “case seeds” that such a context offers, and then take you through the time-tested IIMA approach to helping the seeds develop into robust trees—by following certain well-defined steps in the case writing process. You will also be exposed to the development of instructor manuals or ‘teaching notes.’

Facilitators

Meta – analysis

Description

Facilitators

Data visualization

Description

The amount and complexity of data produced in the business world is increasing at a staggering rate. The amount of information is overwhelming, not because there is too much of it but because we don’t know how to tame it. Data visualization through charts and graphs has been a preferred way of mining and communicating business insights and information. Though the time spent on creating charts has reduced due to the proliferation of software and tools, a majority of these charts fail to convey the intended message because they are badly designed. This workshop will focus on the principles of visualization that help leverage data and garner associated insights. Participants will learn design practices for visualization along with visualization as a means of data analysis and communication.

Facilitators

Big Data Analytics

Description

IDC estimates that the market for big data including hardware, software and services is around $26Bn in 2016 and it is expected to grow at a CAGR of 23.1%. Despite significant market potential, there is a dearth of analytical talent – data scientists (akin to the Wall Street quants of the 1990s), analysts and managers – to leverage the economic value of big data.

Big data analysis is likely to fuel the next wave of growth in productivity, innovation, and competition in the market place. The organizations ability to unlock the potential of big data and lead in the market place will be largely determined by its ability to tackle major hurdles in effectively managing big data – identifying the business use case, hiring, nurturing and retaining the right analytical talent for conducting big data analytics, and embracing data driven culture for making business decisions. Many organizations use analytics as their competitive strategy.

This workshop primarily aims to introduce the participants to the fundamentals of analytics and big data, describe the approaches and challenges in performing big data analytics (social media, social network mining, text analytics), and discuss several real world business and scientific applications. The workshop will also present recent research trends and future research directions in the area of big data analytics.

Facilitators

SEM

Description

Structural Equations Modeling has become the standard for model building and hypothesis testing in organizational research and behavioral sciences, especially when models involve latent variables, complex mediation and moderation, nested models testing, and testing measurement invariance. By incorporating measurement error in the process of model testing, SEM correct for routine errors that creep in due to imperfect tools for acquiring data. Testing measurement and structural models simultaneously, use of SEM help scholars relate their data more strongly to the substantive theory.

This SEM workshop is intended to provide participants with the advanced knowledge and skills needed to use SEM to test substantive theoretical questions. Basic knowledge of SEM is a pre-requisite for this course, as we will be dealing with some advanced techniques. Focus will be on conceptual as well as practical aspects of correctly analyzing and interpreting group comparisons, complex moderated-mediation and mediated moderation models, latent growth models, latent class analysis, and growth mixture models. The course draws on measurement theory, construct validity, and the logic of theory testing to assess the quality of research using covariance structure equations models (cov-SEM). We will use Mplus software.

1st half (morning): Introduction to Structural Equations Models

  1. Introduction to Structural Equations Models
  2. Specification and identification of Path Models
  3. Measurement models and Confirmatory Factor Analysis (1st order, 2nd order)
  4. Structural Models with Unobserved Variables
  5. Multi-sample (multi-group) Analysis and Invariance tests
  6. Important Guidelines for Model Estimation and Result Reporting (Uses and abuses of SEM)

2nd half (afternoon): Advanced topics in SEM

  1. Dos and Don’ts of SEM (some pitfalls to keep in mind)
  2. Mediation and Moderation testing in SEM
  3. Moderated-mediation testing in SEM
  4. Multilevel SEM
  5. Brief overview of other advanced SEM approaches

Facilitators

Research Writing

Description

This professional development workshop (PDW) focuses on this broad question: why does your manuscript get rejected and what can you do about it? We plan to have half a day workshop (approximately 3.5 hours). Two editors of IIM journals (e.g., Vikalpa, IIMB Management Review, Decision) separately present their perspectives on the manuscript evaluation process. This will be followed by a panel discussion involving editors of four IIM journals and moderated by Prof. Arindam Banerjee. The panel discussion will be mostly based on questions on publishing process, invited from the participants.

Facilitators