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The investment development path of emerging markets’ MNEs is significantly different from the developed (TRIAD) world’s MNEs; BRIC MNEs seem to have taken a different trajectory on account of various political and economic reasons, ranging from the ‘forms of entry’ to ‘country-specific advantages’ (Tulder, R. V. (2010). Toward a renewed stages theory for BRIC multinational enterprises? A home country bargaining approach. In K. P. Sauvant, G. McAllister, & W. A. Maschek (Eds.), Foreign direct investments from emerging markets: The challenges ahead (pp. 61–74). New York, NY: Palgrave Macmillan). Yet, some believe that in the long run the internationalization strategy of the developed world MNEs and BRIC MNEs will converge. Internationalization strategies as measured by OFDI depend on various macroeconomic determinants such as income, interest rate, openness of the economy, etc. The chapter intend to highlight, the significant difference between these two groups of countries on account of diverse political reforms towards internalization of firms, yet see if these different countries might converge.

Regression analysis examines the significance of the role of home government by testing the effect of governance indicators; that is voice and accountability, on OFDI. It further, tests for convergence of internationalization strategies of the two historically divergent groups, also, it tests convergence amongst the BRIC nations. Along with forecasting, time series analysis is also employed to examine convergence using univariate sigma convergence techniques.

Impact of voice and accountability is significant but it hinders OFDI for BRIC nations, while it promotes OFDI for TRIAD & ALL. Moreover, the analysis found the existence of convergence, that is BRIC will catch up with TRIAD, but though convergence exists amongst BRIC if we take a long span of time (45 years), it is absent in short span of time (19 years), as lately BRIC have shown divergent tendency.

Small sample size in multivariate regression analysis. Also, the governance indicator, that is voice and accountability, is perception based, and missing gaps in data for governance indicator is filled using interpolation.

Empirically testing the convergence of BRIC nations with the developed world. A univariate time series analysis is undertaken to understand each country’s heterogeneous FDI outflows and to address the research gap in existing forecasting literature. In addition, the comparison specifically between the Emerging Market Economies, that is the BRIC nations and the developed world gives some useful insights. This chapter ascertains the impact of governance indicator on OFDI; empirical literature shows such analysis for IFDI & FDI, but OFDI is rarely been dealt with.

Owing to the increased accessibility of internet and related technologies, more and more individuals across the globe now turn to social media for their daily dose of news rather than traditional news outlets. With the global nature of social media and hardly any checks in place on posting of content, exponential increase in spread of fake news is easy. Businesses propagate fake news to improve their economic standing and influencing consumers and demand, and individuals spread fake news for personal gains like popularity and life goals. The content of fake news is diverse in terms of topics, styles and media platforms, and fake news attempts to distort truth with diverse linguistic styles while simultaneously mocking true news. All these factors together make fake news detection an arduous task. This work tried to check the spread of disinformation on Twitter.

This study carries out fake news detection using user characteristics and tweet textual content as features. For categorizing user characteristics, this study uses the XGBoost algorithm. To classify the tweet text, this study uses various natural language processing techniques to pre-process the tweets and then apply a hybrid convolutional neural network–recurrent neural network (CNN-RNN) and state-of-the-art Bidirectional Encoder Representations from Transformers (BERT) transformer.

This study uses a combination of machine learning and deep learning approaches for fake news detection, namely, XGBoost, hybrid CNN-RNN and BERT. The models have also been evaluated and compared with various baseline models to show that this approach effectively tackles this problem.

This study proposes a novel framework that exploits news content and social contexts to learn useful representations for predicting fake news. This model is based on a transformer architecture, which facilitates representation learning from fake news data and helps detect fake news easily. This study also carries out an investigative study on the relative importance of content and social context features for the task of detecting false news and whether absence of one of these categories of features hampers the effectiveness of the resultant system. This investigation can go a long way in aiding further research on the subject and for fake news detection in the presence of extremely noisy or unusable data.

This study aims to examine the impact of the three dimensions of materialism, namely, possessiveness, envy and non-generosity along with attitude on the purchase intention of sustainable luxury products.

The research study contains a descriptive approach to research with a quantitative analysis done with exploratory and confirmatory factor analysis with 229 respondents.

The findings of the results contribute to research by extending the model of the theory of planned behavior with the material dimensions as an add-on.

The same could have been extended to all major metro cities of Indian where luxury brands are present in malls.

This shows that the consumer with a high level of materialism trait would be a very prospective segment for sustainable luxury brands.

The study shows that the three dimensions of materialism do impact the purchase intention of sustainable luxury producers and these findings will be crucial for devising consumer behavior-based strategies for sustainable luxury brands.