http://103.65.197.75:8080/jspui/handle/123456789/13 2026-09-08T12:47:39Z http://103.65.197.75:8080/jspui/handle/123456789/423 Title: A Case Of Need Authors: SINHA, ANAMIKA Abstract: There are several illustrations of how bootstrapped companies cannot afford to be patient over the outcome of training programmes, and in fact, find it worthier to invest in processes. For the CEO or the Promoter of the company, such decisions are a business imperative, while for the HR, an investment towards training and development is one that assures long term rewards. While both are not entirely wrong in their own way, they cannot truly anticipate as to the right roadmap for the employees as well as the organisation. 2017-01-01T00:00:00Z http://103.65.197.75:8080/jspui/handle/123456789/95 Title: Go First For Bankruptcy: Can It Rise Again? Authors: Prabhudesai, Rohit 2023-01-01T00:00:00Z http://103.65.197.75:8080/jspui/handle/123456789/24 Title: Decoding Customer Opinion for Products or Brands Using Social Media Analytics Authors: Yadav, Mohan Lal; Dugar, Anurag Abstract: Thisstudy uses aspect-levelsentiment analysis using lexicon-based approach to analyse online reviews of an Indian brand called Patanjali, which sells many FMCG products under its name. These reviews have been collected from the microblogging site Twitter from where a total of 4961 tweets about 10 Patanjali branded products have been extracted and analysed. Along with the aspect-level sentiment analysis, an opinion-tagged corpora has also been developed. Machine learning approaches—support vector machine (SVM), decision tree, and naïve bayes—have also been used to perform the sentiment analysis and to figure out the appropriate classifiers suitable for such product reviews analysis. The authors first identify customer preferences and/or opinions about a product or brand by analyisng online customer reviews as they express them on the social media platform Twitter by using aspect level sentiment analysis. The authors also address the limitations of scarcity of opinion tagged data required to train supervised classifiers to perform sentiment analysis by developing tagged corpora. 2022-01-01T00:00:00Z http://103.65.197.75:8080/jspui/handle/123456789/23 Title: From Side Props to Key Actors: The Evolution of Indian Origin Commercial Vehicle Firms from Periphery to Prominence Authors: Bhat, Akshay; Prabhudesai, Rohit Abstract: The Indian auto sector as a whole and the commercial vehicle industry in India have grown rapidly ever since inception in the 1920s. This study aimed to determine the patterns in the growth of the Indian origin frms in the commercial vehicle industry. Thus, by deconstructing the longitudinal timeline for the period ranging from 1928 to 2022 and developing case studies of six frms, we document their evolution process. The fndings reveal the increasingly dominant role played by the frms and the trends associated with the industry. Specifcally, it was observed that all strategic actions were prompted by a need to access technology or fulfl regulatory environment policies by the incumbent frms and to enter a new country or a new segment in it by the international players. Furthermore, as the industry grew at a rapid rate and correspondingly did the power of the Indian origin frms, the mode of governance evolved from mere licensing to at times hostile acquisitions, suggesting a shift in the bargaining power. Observed also was the simultaneous pursuance of multiple modes of governance through multi-party strategic alliances, as opposed to earlier times where the options were pursued sequentially 2022-11-16T00:00:00Z