Doctoral Consortium

The conference will be preceded by a doctoral consortium (also called a “doctoral colloquium” in some countries), which will be held at the Wits Business School at the University of the Witwatersrand, Johannesburg. The Doctoral Consortium is patterned after the well-known AMA-Sheth Foundation doctoral consortium, held annually in the USA and recently extended to India.

The Doctoral Consortium has several goals:

  1. To inspire and motivate Doctoral Fellows to pursue new and meaningful research that advances our understanding of marketing in emergent marketplaces.
  2. To build new research competencies that enable the Doctoral Fellows to identify interesting research topics, assess the marketing literature, craft compelling arguments, choose appropriate research designs, understand new multivariate analysis approaches, and contribute to leading journals as equal members of the global academy.
  3. To assist in the professional development of the Doctoral Fellows. Balancing career demands for research productivity, teaching excellence, community service, and a happy personal life.
  4. To promote collaborations and programmatic approaches across cultures and national borders, especially in Africa.

The EMCB Doctoral Consortium sessions at WBS will be organized around two primary streams. A foundations theme will focus on important competencies that are likely to be of interest to most Doctoral Fellows.

Foundation sessions include (a) identifying interesting research topics in the changing environment of marketing, (b) reviewing the literature (including meta-analytic techniques), crafting compelling arguments, (c) publishing in scholarly journals (including factors that promote and inhibit success), and (d) effective teaching in practice. A specialist theme will focus on topics, which despite their importance, may not interest everyone.

Parallel specialist sessions include (a) developing contingency theories in emerging markets research, (b) model-based approaches, such as covariance structure modelling (i.e., MPLUS/LISREL/R), latent variable partial least squares SEM models, latent class models, multilevel models, longitudinal models, and Bayesian analysis, (c) rigorous qualitative approaches, including grounded theory, ethnography, and action research.

There will be special sessions focusing on the R statistical package, which has become the dominant statistics package in marketing analytics, data science and corporate marketing. The R statistical package is open source and offers some 10,500 add-on packages that are supported by some of the world’s leading statisticians.