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The approach of biocybernetics and non‐equilibrium systems dynamics is used to analyse biological, psychological, anthropological and cultural evolution. Using experimental data, positive feedback of biological activation and Prigogine‐Einstein fluctuation analysis, the energy dissipation equations for biological and anthropological evolution are developed.

This paper aims to describe the impact of personalized eLearning (PeL) using small videos and simulations. It sets out the results of a research project carried out across four Indian organizations.

This is an empirical study. The respondents completed product training using small videos and simulations as training content. The courses were assigned to learners using PeL concept. An online survey was conducted to capture feedback on learning content and process, followed by structural equation modeling (SEM) to explain the acceptance.

The research concluded that flexibility and engagement play an important role in competency development using eLearning. It also revealed the positive role of small videos, simulations, and PeL to improve product knowledge. The research findings are consistent with earlier studies.

The pilot study was a part of a thesis topic for a doctoral program. The study is limited to four domains, namely, aerospace engineering, biological science, thermodynamics, and nuclear research. More studies are required to generalize results. Data were collected through self-responses and focus group discussion. Hence, the “perception” of respondents has some influence on the overall outcome.

The foundation’s result will help learning & development (L&D) professionals and courseware designers to identify important factors for small video and simulation-based learning in an Indian context. The recommendations will help practitioners design effective PeL content for product training.

This research increases the knowledge base related to competency development using eLearning for product training in an Indian context.

This paper shows how organizations can use learning clusters, Massive Open Online Courses (MOOCs) and free videos to improve organizational learning. The paper presents implementation steps through a case study with Indian micro, and small and medium-sized enterprises (SMEs).

As a part of the employee development strategy, most Indian organizations adapted structured training framework. However, employee skill and competency development are equally important for SMEs. An attempt was made to train employees of these sectors using MOOCs and free videos. Twenty Indian organizations were selected for the pilot study and segregated into two clusters for efficient implementation of the concept. The learning process was observed for the next six months to summarize the outcome.

The case study concluded that MOOCs and free videos made a difference in skill and competency development of SMEs using cost-effective internet and mobile handset. It also revealed the positive impact of this learning framework on productivity, the quality which eventually improved the revenue.

This study explores the usability of MOOCs and free videos for learning purpose. More studies on learning effectiveness are required to generalize results.

This study reveals the effectiveness of MOOCs and free videos for employee development. The foundation result will help the Learning and Development (L&D) professionals and senior management to think in a different way while making the employee development strategy.

This research increases the knowledge base related to the use of MOOCs and free videos for employee training.

Aims to investigate the causative factors and clinical applicability of spontaneous regression of malignant tumours without treatment, a really paradoxical phenomenon with many therapeutic potentialities. Analyses past cases to find that the commonest cause is a preceding episode of high fever‐induced thermal fluctuation which produces fluctuation of biochemical/immunological parameters. Using Prigogine‐Glansdorff‐Langevin stability theory and biocybernetic principles, develops the theoretical foundation of a tumour’s self‐control, homeostasis and regression induced by thermal, radiation or oxygenation fluctuations. Derives a threshold condition of perturbations for producing regression. Presents some striking confirmation of such fluctuation‐induced regression in Ewing tumour, Clear cell cancer and Lewis lung carcinoma. Using experimental data on patients, elucidates a novel therapeutic approach of multi‐modal hyper‐fluctuation utilizing radiotherapeutic hyper‐fractionation, temperature and immune‐status.

The purpose of this paper is to determine the triggers of positive electronic word of mouth (eWOM) using real-time Big Data obtained from online retail sites/dedicated review sites.

In this study, real-time Big Data has been used and analysed through support vector machine, to segregate positive and negative eWOM. Thereafter, using natural language processing algorithms, this study has classified the triggers of positive eWOM based on their relative importance across six product categories.

The most important triggers of positive eWOM (like product experience, product type, product characteristics) were similar across different product categories. The second-level antecedents of positive eWOM included the person(s) for whom the product is purchased, the price and the source of the product, packaging and eagerness in patronising a brand.

The findings of this study indicate that the marketers who are active in the digital forum should encourage and incentivise their satisfied consumers to disseminate positive eWOM. Consumers with special interest for any product type (mothers or doctors for baby food) may be incentivised to write positive eWOM about the product’s ingredients/characteristics. Companies can launch the sequels of existing television or online advertisements addressing “for whom the product is purchased”.

This study identified the triggers of the positive eWOM using real-time Big Data extracted from online purchase platforms. This study also contributes to the literature by identifying the levels of triggers that are most, more and moderately important to the customers for writing positive reviews online.

The purpose of this paper is to utilize the power of Six Sigma, a disciplined approach to improve quality of product, process or service quality, for accident prevention in the manufacturing industry.

This paper presents the basic features of DMAIC methodology of Six Sigma and its application for the purpose of accident prevention; illustrates the set of tools and techniques to be used at different phases of DMAIC for accident data analysis; and outlines the DMAIC methodology by analyzing accident data from a large process industry in India.

The systematic and logical approach of Six Sigma problem solving could identify many root causes for accident and identification and deployment of corrective actions horizontally to relevant processes.

Six Sigma has been successfully implemented in improving manufacturing processes but its application for the purpose of accident prevention is still limited. This paper demonstrates that Six Sigma principle can resolve such problems, and can be used by any plant to solve similar problems of accident prevention.