Sudhir K. Jain
Other affiliations: Shri Mata Vaishno Devi University
Bio: Sudhir K. Jain is an academic researcher from Jawaharlal Nehru University. The author has contributed to research in topics: International Patent Classification & Intellectual property. The author has an hindex of 1, co-authored 2 publications receiving 2 citations. Previous affiliations of Sudhir K. Jain include Shri Mata Vaishno Devi University.
TL;DR: In this paper, the renewal of patents in the pharma sector in India was studied and a unique approach of studying both active and ceased patents of non-resident applicants in India, with the aid of descriptive methods and statistical tools as SPSS following trends, was found.
Abstract: Managing patents is a core issue in the intellectual property management (IPM) of the firms. It entails two important activities: the patenting of new innovations and the renewal of patents. With the research on renewal data gaining momentum, this paper tries to study the renewal of patents in the pharma sector in India. Adopting a unique approach of studying both active and ceased patents of non-resident applicants in India, with the aid of descriptive methods and statistical tools as SPSS following trends, has been found. Business firms are the dominant patentees and single inventorship an emerging trend in India. While renewal patterns are quite applicant category specific, grant period is independent of the applicant category. In case of the patents category (ceased or active), maintenance duration is independent of the number of inventors but effective life of the patents varies with category of patents. The higher propensity to patent and maintenance show linkage with specific technology fields and the portfolio size.
01 Jul 2020
TL;DR: In this paper, the authors used primary data collected from graduating youth of Jammu and Kashmir (Jammu & Kashmir) to investigate the influence of past experiences on individual's behavior.
Abstract: Bourdieu’s theoretical concept habitus theorises that past experiences are highly likely to influence an individual’s behaviour. Using primary data collected from graduating youth of Jammu ...
01 Jan 2016
TL;DR: In this paper, a survey data is analyzed to rank OI practices (collaboration) of the firms, while patent data are analyzed to carry out descriptive and bivariate analysis to study the inter-firm differences in collaboration.
Abstract: PurposePatents as one of the important components of intellectual capital are emerging as a new source for mining insights on open innovation (OI) practice of the organizations. Their role in value creation through collaboration and the inter-firm differences is yet to be explored in depth.Design/methodology/approachTo achieve the aim, survey data is analyzed to rank OI practices (collaboration) of the firms, while patent data are analyzed to carry out descriptive and bivariate analysis to study the inter-firm differences in collaboration.FindingsThe survey findings highlight mergers and acquisitions (M&A) and patent pooling as the top two preferred modes of OI, while from patent data M&A has emerged as a predominant OI practice for mainly nonresident firms. At the firm level characteristics, out of firm age, number of granted patents and firm size, firm age has been found to be somewhat significant in few cases of OI practices.Research limitations/implicationsIt provides an alternative source, in this case patent data to study open innovation capabilities of firms in India. There is contribution to the patent value theory from profit motive to deriving strategic decisions on collaboration.Practical implicationsThe managerial implications of this study lie in realizing granted patents as important business tools for seeking collaboration, tracing competitive intelligence and the geography of innovation of the firms' competitors.Originality/valueThe dataset of granted patents at the Indian Patent office (2005–2017), the sample of pharmaceutical firms drawn from this list of patents, patent data– based OI insights and the use of multiple imputation technique to missing data for meaningful insights are some of the unique aspects of this paper.