The study intends to explore the consumer perception towards over-the-counter (OTC) medicines and factors that influence consumer buying behavior for OTC brand medicines marketed by pharmaceutical companies. It also aims to study the impact of marketing mix factors on consumer perception and OTC brand loyalty. The research is descriptive in nature. It is based on primary data which is collected via structured questionnaire. The hundred respondents were participated in pilot study to understand and validate the questionnaire. The primary data obtained are analysed to identify the consumer perception and OTC brand loyalty promoted by the pharmaceutical companies. The study was conducted in period of 1 December 2016 to 31 March 2017. The respondents are from different districts of Rajasthan. 411 respondents participated on simple convenient non-probability sampling basis. In the study the dependent variables like consumer perception and brand loyalty with independent variables like consumer self-medication and OTC marketing mix factors are considered. It is observed in present study that OTC marketing mix factors like Place, Price and Promotion has positive impact on consumer perception and OTC brand loyalty whereas self-medication practices have negative impact. The study also revealed that Place (Product availability), Price and Promotions are the major influencing factor in considering consumer OTC medicine buying behavior.
Objective:
The world is facing the pandemic situation of COVID-19 which leads to a large level of stress and
depression on mankind as well on society. Static measurements can be conducted for early identification of the stress and
depression level and diagnose or preventing from the effect of these conditions. Several studies have been carried out in
this regard. The Machine learning model is the best way to predict the level of stress and depression of humankind by
statistically analyzing the behavior of humankind which helps to the early detection of stress and depression. This helps to
prevent society from psychological pressures from any disaster like COVID-19. The COVID-19 pandemic is one of the
public health emergencies which are of great international concern. It imposes a great physiological burden and challenges
on the population of the country facing the disaster caused by this disease.
Methods:
In this paper, the authors have surveyed by defining some questionnaires related to depression and stress and
used the machine learning approach to predict the stress and depression level of humankind in the situation COVID19The data sets are analyzed using the Multiple Linear Regression Model. The predicted score of stress and depression is
mapped into DASS-21. The predictions have been made over different age groups, gender, and categories. The Machine
learning model is the best way to predict the level of stress and depression of humankind by statistically analyzing the
behavior of humankind which helps the early detection of stress and depression.
Results:
Females are more stressed and depressed than males. The people who are 45+ years age are more stressed and
depressed. The male and female students are more stressed and depressed. The overall analysis said that the peoples of
India are stressed and depressed at the level of “Serve” due to COVID-19. This can because of a student’s career
concerning their study and examination. The females who feel so much burden of business as well as their salary. The
aged people are depressed due to COVID-19 disaster.
Conclusion:
This research given very big support to understand our objectives. We have also implemented our analysis of
data based on DASS-21 parameters defined for the Anxiety, Depression, and stress at the world level. By the analysis
defined in section 5 we conclude that the people of India are more stressed and depressed at the level of "Serve" due to
COVID-19.
<p class="abstract">WHO has declared the present outbreak of a new corona virus disease (COVID-19) as a global pandemic. The impact of novel COVID-19 epidemic is uncertain and unpredictable, which is also a challenging phase for the pharmaceutical industry across the globe. The rationale of this article is to compile existing research and published data and identify the various challenges among the pharmaceutical sector in India and other developing countries. To overcome from present epidemic effects such as increase in medicine price, disruption in the pharmaceutical supply chain, balancing between IPR and access to innovation and regulation on counterfeit medicine in developing countries, the certain possible strategies and solutions are discussed. The present article also emphasized the solidarity and global cooperation among developing countries to strengthen the pharmaceutical operations across India and other developing countries to meet the current demand during COVID-19 pandemic.</p>
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