This study focuses on the empirical analysis of strategic HR roles and organizational learning capability. Line and HR firm performance is further analysed. The sample size consisted of 640 managers in India. Standardized questionnaires were used as tools for the managers' perception of the two variables and their link to data collection. Statistical results indicate that correlation coefficients were mostly significant and positive for the variables and sub-variables of strategic HR roles and organizational learning capability. Discriminant functional analysis reflected that line and HR managers differed significantly in their perception of both variables. Stepwise regression analysis indicated that both the variables of strategic HR roles and organizational learning capability predict firm performance.
PurposeThe purpose of this article is to examine the role of human resource capability (HRC) in organisational performance and sustainable competitive advantage (SCA) in Indian global organisations.Design/methodology/approachTo carry out the present study, an empirical research on a random sample of 300 line or human resource managers from nine Indian and foreign global organisations, from New Delhi (the National capital region of India) is carried out. The principal research method employed included the sample and measurements tools, and data analysis concerning the human resource capabilities for organisational performance and sustainable competitive advantage by using SPSS package 12.FindingsThe findings of the study reveal that human resource capabilities are positively correlated to organisational performance. Furthermore, human resource capability was found to be a significant predictor of sustainable competitive advantage.Research limitations/implicationsMore samples from different Indian companies, especially middle and small scale industries, can enrich the current study.Practical implicationsThis study contributes to the existing theory about the strategic importance of human capital for organisational performance and sustainable competitive advantage from resource‐based view of the firm in the Indian context.Originality/valueThe study will contribute to the understanding of Indian human resource management (HRM) as an imperative for strategic HRM and international human resource management. Business organisations will get an insight into the Indian business scenario and can chalk out their strategic policies and human resource planning with this perspective.
PurposeThe purpose of this study is to analyze the role of organizational learning and strategic human resource management (HRM) in sustainable competitive advantage.Design/methodology/approachTo carry out the present study, the survey method has been used. The empirical research was done on a random sample of 300 line or human resource (HR) managers from nine Indian and foreign global organizations, chosen purposefully from New Delhi (the national capital region of India). Percentages, means, cross tabulation, Pearson's correlation, one‐way analysis of variance, inter‐item analysis and Cronbach alpha were used for data analysis using SPSS package 10.FindingsThe study reveals that there is a positive relationship between organizational learning, strategic HRM and sustainable competitive advantage.Research limitations/implicationsLarge samples from different Indian companies, especially middle‐ and small‐scale industries, and longitudinal studies with qualitative and quantitative research design can strengthen the current study.Practical implicationsThe study recommends that work‐based learning strategies and HR interventions involving people can help in developing strategic capabilities for sustainable competitive advantage.Originality/valueNo empirical work has been carried out to study organizational learning, strategic HRM and sustainable competitive advantage in an Indian context. The present study was thus undertaken to study their relationship for sustainable competitive advantage. The study is going to be of immense importance not only for the management field, but also for the corporate world to know what is happening in India in the HRM and organizational learning field and to chalk out their strategic policies and HRM with this perspective.
In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented using deep contextualized embeddings. We evaluate the proposed architecture using both contextualized and fixed word embedding models on three different benchmark datasets (Inspec, SemEval 2010, SemEval 2017), and compare with existing popular unsupervised and supervised techniques. Our results quantify the benefits of: (a) using contextualized embeddings (e.g. BERT) over fixed word embeddings (e.g. Glove); (b) using a BiLSTM-CRF architecture with contextualized word embeddings over fine-tuning the contextualized word embedding model directly; and (c) using genre-specific contextualized embeddings (SciBERT). Through error analysis, we also provide some insights into why particular models work better than the others. Lastly, we present a case study where we analyze different self-attention layers of the two best models (BERT and SciBERT) to better understand the predictions made by each for the task of keyphrase extraction.
Background COVID-19 is the most recent zoonotic outbreak of coronaviruses. Mostly, it invades the cells of the respiratory system by binding to the receptor angiotensin-converting enzyme 2 (ACE2) which is also present in other organs like the kidney, testis, ovaries, breast, heart, and intestine, rendering them prone to be infected. The reproductive potential is a must for the sustenance of any species and it is our prime duty to safeguard the reproductive system of the present generation from such a deadly virus. The previously reported coronaviruses like severe acute respiratory syndrome coronavirus (SARS-CoV) had a detrimental impact on reproductive organs. There is a dearth of sufficient research to provide substantial evidence for the harmful effects of this novel virus on the reproductive system. Hence, our review compiles the knowledge available until now to boost research in this regard and to take the necessary steps in time. Main body of abstract Here we tried to compile all the data available on the effect of SARS-CoV-2 on the reproductive system as well as vertical transmission of the virus. All related articles published from February to August 2020 were reviewed and thoroughly analyzed. SARS-CoV-2 has been found to affect the sperm concentration and motility, thus degrading the fertility of males. In females, it is suspected that this virus affects the oocyte quality and ovarian function, resulting in infertility or miscarriage. Traces of SARS-CoV-2 virus have also been found in the breast milk of the infected mothers and the semen of infected males. Vertical transmission of SARS-CoV-2 has also been reported in some cases. Conclusion Based on the literature review, SARS-CoV-2 seems to have the potential of affecting both male and female reproductive tracts. This review brings together the findings and observations made in the area of reproductive health during the current pandemic. The reproductive system of the young population is preordained for subsequent disorders, infertility, reduced sperm count, and motility. Therefore, the research and medical practices should focus on possible vulnerability being posed by SARS-CoV-2 to the gametes and future generations. We, hereby, recommend close monitoring of young and pregnant COVID-19 patients concerning reproductive health with utmost priority.
Let q be an odd prime power and p be an odd prime with gcdðp; qÞ ¼ 1: Let order of q modulo p be f ; gcdð pÀ1 f ; qÞ ¼ 1 and q f ¼ 1 þ pl: Here expressions for all the primitive idempotents in the ring R p n ¼ GF ðqÞ½x=ðx p n À 1Þ; for any positive integer n; are obtained in terms of cyclotomic numbers, provided p does not divide l if nX2: The dimension, generating polynomials and minimum distances of minimal cyclic codes of length p n over GF ðqÞ are also discussed. r 2004 Elsevier Inc. All rights reserved.
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