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The need for studying the effects of cannibalization and its importance has been established in the literature, especially, since an assessment of the expected cannibalization effect of a new product can help in deciding on suitable times for new product introduction and promotions. However, quantitative measures that can be easily monitored and interpreted are not commonly available.

This study uses parametric measures to help identify and investigate the effects of cannibalization. It proposes a predictive framework that may be used to investigate the effects of cannibalization. A case study, with real data from a consumer beverage company, illustrates the practical applicability of the model.

The parametric measures developed helped to identify the level of product cannibalization at the product, product group, family and brand levels in the portfolio.

Marketing strategists who can identify the victims of cannibalization in the product portfolio will be better prepared for the effects of cannibalization.

Quantitative measures are not commonly available to identify and measure product cannibalization resulting from the introduction of new products, and existing forecasting methods such as ARIMA do not explicitly account for the phenomenon. This paper aims to present a methodology to build cannibalization effects into forecasting models as measured through product attributes. It follows on from a paper by the same authors in Vol. 23 No. 4

The contribution of product attributes to cannibalization is tested by a series of hypotheses, then integrated into the proposed cannibalization model. Results are compared with predictions from an ARIMA‐based model and actual historical sales data.

The proposed model improves on the fidelity of ARIMA‐based models, by between 16 and 42 percent.

Effective prediction of cannibalization losses will allow marketing planners to make better‐informed decisions with respect to new product introduction.

This study examines the influence of the stock market on foreign direct investment in developing countries and how government effectiveness moderates this relationship.

The study involved four East African Community countries and a panel dataset from 1995 to 2020. The study utilized feasible generalized least squares (FGLS) as a primary model and panel-corrected standard errors (PCSE) for a robustness check.

The impact of the stock market on foreign direct investment (FDI) is mixed. While value traded, market capitalization and the number of listed companies positively affect FDI, stock turnover has a negative impact. Government effectiveness also positively influences FDI and significantly moderates the relationship with the stock market.

The sample is only limited to stock markets and East African Community countries, and due to the unavailability of data, only four countries were captured.

Stock markets and government effectiveness are crucial for attracting FDI by enhancing the attractiveness of host countries for investment. The policymakers should improve institutional quality, support stock market development, bolster investment appeal and provide an alternative capital source.

Policy formulation should encourage institutional quality practices and support the stock market development that serves as an alternative source of capital.

This paper examines how stock markets impact FDI inflows and investigates the moderating role of government effectiveness in this relationship. The findings reveal that both stock market development and government effectiveness enhance a host country’s attractiveness for inward FDI.

The purpose of this work is to gain insights about Lean Six Sigma (LSS) in the Indian context by reviewing the related literature for one decade based on various perspectives, such as author profile, year of publication, type of firm, type of methodology used, type of industry for which the research work is carried out and the key findings from the research.

This study reviews the research related to LSS from the articles published in the reputed journals. The literature used for reviewing is derived from the sources, including Science direct, Google scholar, IEEE, Taylor and Francis Group, Emerald Insight, Springer, Inderscience and Elsevier during the period between 2010 and 2021. Totally, the authors have included 141 LSS-related research articles that are published in the Indian context. The keywords used are Lean Six Sigma, Lean Six Sigma in the Indian context, Lean Sigma and LSS to identify and consolidate the research papers published during this timeframe.

The research papers collected from various reputed journals, including Scopus and non- Scopus enlisted, are classified and grouped under various categories to identify the class of author who publishes more in this field, research trend over the years, the type of firm which implements LSS, the research methodology which is commonly used in LSS and related research and also the key takeaway from these articles are highlighted. Further, the authors have also identified the major contributions of researchers in various sectors during this period in India.

This classification framework and the systematic review help in identifying the research gap and in giving directions for future researchers. It will be useful for researchers and practitioners working on the area of LSS, rural and urban entrepreneurs, start-up managers, professionals working in micro, small and medium enterprises (MSMEs) and executives of the Make in India Project to make India as Aatmanirbhar Bharat Abhiyan. Further, the clear direction of progress over the current decade in manufacturing industries, service sectors and processing industries can help the professionals working in these sectors.

A bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view is given. The bibliography at the end of the paper contains 1,726 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1996‐1999.