Trends and Future Directions in Online Marketing Research

Over the last decade, the increased adoption of the Internet in public life as well as in developing businesses has led to a phenomenal rise in academic research on online marketing. This article is set to extensively review scholarly articles appearing from 2000 to 2014 on the topic from 10 top-tier academic journals to understand the research trends in the domain. A literature review has reported eight major subjective categories with an analysis of online marketing effectiveness framework. This review found three most significant subject categories: (1) online marketing issues; (2) Internet usage, perception, and attitude; and (3) online shopping and e-commerce. Additionally, some new online marketing research topics such as word-of-mouth, user-generated content, and social network are also highlighted. Finally, a selection of research topics that got the maximum attention of researchers is presented along with discussion of the future research directions in the online marketing space.     

Online consumer shopping behaviour: A review and research agenda

Over the last two decades, motivated by the continuous evolution of the technology-driven retail environment, researchers have studied various aspects of online consumer behaviour. This article attempts to take stock of this environment to critically assess the research gaps in the domain and provide future research directions. Applying a well-grounded systematic methodology following the TCCM (theory, context, characteristics and methodology) framework, 197 online consumer shopping behaviour articles were reviewed. The findings reveal that the application of theories remains limited in the current pool of literature that focuses more on developed nations. While studies have primarily considered categories such as apparel and grocery, in terms of methodology experimental and survey-based studies were most common. Additionally, the article suggests some future research directions. The use of combined theories to better understand technology acceptance by consumers of online-shopping is recommended. Similarly, studies across other categories like online experiential luxury, luxury services, or second-hand products that then link to novel constructs reflecting issues with payment methods, online service quality, and online store atmosphere are portrayed as meaningful avenues that will advance research in the domain.     

Do Competition Improve Persistence in Innovation Effort? Sectoral Patterns and Evidence from India

Journal of Industry, Competition and Trade - This paper studies the persistence of innovation efforts by Indian manufacturing firms and how the innovation effort gets affected by the extent of...     

Functional data analysis for volatility

We introduce a functional volatility process for modeling volatility trajectories for high frequency observations in financial markets and describe functional representations and data-based recovery of the process from repeated observations. A study of its asymptotic properties, as the frequency of observed trades increases, is complemented by simulations and an application to the analysis of intra-day volatility patterns of the S&P 500 index. The proposed volatility model is found to be useful to identify recurring patterns of volatility and for successful prediction of future volatility, through the application of functional regression and prediction techniques.     

Twenty-five years of consumer vulnerability research: Critical insights and future directions

Consumer vulnerability is gaining increasing attention from researchers and practitioners as a social phenomenon in modern consumption-driven societies. In an attempt to conduct a comprehensive review using credible published research materials on the topic, this study applies a big data analytics approach to analyze scholarly research with a pool of 859 articles covering the last 25 years of post-modern marketing practices that have been a precursor to market-driven vulnerability. This paper identifies the most influential articles, as well as the top contributing journals and authors, along with their affiliations. In addition, this study reveals four major themes of research in consumer vulnerability, namely marketing, fraud and consumers, consumer vulnerability and well-being, ethics and vulnerable consumers, and consumption, disability and gender. These integrative perspectives will serve as a critical starting point to encourage focused theme-based exploration in the field.     

Strategic Interactions,Bargaining Power and Stability of Joint Venture in an Emerging Nation

We model strategic interaction between a domestic firm and a foreign firm involved in a joint venture, incorporating negotiations over equity shares and its implications for stability in the context of an emerging country. The foreign firm has superior technology, whereas the domestic firm has better local market knowledge. Modelling simultaneous innovation effort and bargaining power over equity share, we provide a rationale for the stability of the joint venture. We find that a certain level of technological knowledge can empower the bargaining power under certain parameter configurations and assumptions, such that the firms will negotiate to agree over their equity shares and maintain the joint venture. In this context, the stability of the joint venture is always an expected outcome. We have also shown that the domestic firm’s bargaining power and knowledge acquisition directly affect the domestic firm’s R&D effort and threaten the stability of the JV. We try to justify a probable situation where the firms may negotiate hard over equity shares but still maintain the joint venture.

     

Modeling Jumps and Volatility of the Indian Stock Market Using High-Frequency Data

Recent advancements in technology have led to wide availability of high-frequency financial data. The aim of this paper is to study the behavior of the Indian stock market. In particular, we analyze the returns at 5 min interval from NSE using the index NIFTY and the stocks State Bank of India and Infosys. A non-parametric approach is taken to detect jumps in the return process. The analysis shows that index jumps relate very closely with the general market news and announcements while individual stock jumps are associated with company specific news. We find that volatility of the market is best captured by asymmetric power ARCH models.

     

Mean and volatility dynamics of Indian rupee/US dollar exchange rate series: an empirical investigation

The paper is concerned with time series modelling of foreign exchange rate of an important emerging economy, viz., India, with due consideration to possible sources of misspecification of the conditional mean like serial correlation, parameter instability, omitted time series variables and nonlinear dependences. Since structural change is pervasive in economic time series relationships, the paper first studies this aspect of the exchange rate series in detail and finds the existence of four structural breaks. Accordingly, the entire sample period is divided into five sub-periods of stable parameters each, and then the appropriate mean specification for each of these sub-periods is determined by incorporating functions of recursive residuals. Thereafter, the GARCH and EGARCH models are considered to capture the volatility contained in the data. The estimated models thus obtained suggest that return on Indian exchange rate series is marked by instabilities and that the appropriate volatility model is EGARCH. Further, out-of-sample forecasting performance of the model has been studied by standard forecasting criteria, and then compared with that of an AR model only to find that the findings are quite favorable for the former.