The term "social media advertising," abbreviated as "SMM," refers to the practice of marketing a company's goods and services via the use of social networks and social media. Users are able to communicate with one another, share information and create internet content through the use of social media websites, and promote the culture, artwork, or tone that they desire through the use of social media advertising companies, which offer a way to engage with existing customers and reach new ones. There are many different kinds of social media, such as blogs, microblogs, wikis, social networking websites, and websites for sharing images and videos, instant messaging, video sharing websites, podcasts, widgets, and digital worlds. These different kinds of social media make it possible for people to stay in touch with one another through social media. Comprised of a large number of friends and family. Some people will use various social media packages to find community and profession opportunities, connect with people all over the globe who have similar interests, and share their own thoughts, feelings, and insights on the internet.
The purpose of this research is to investigate the influence that marketing communication and information sharing have on the performance of businesses. The relationship between marketing communication, information sharing, client retention, and personalization, as well as the success of the firm, is investigated in this approach. In this research endeavour, a questionnaire was the instrument of choice for data collecting. A questionnaire was constructed with the help of previously discovered scale items relevant to marketing communication, information sharing, customer retention, personalization, and business performance. This led to the development of the questionnaire. The staff members of India's small and medium-sized firms (SMEs) each received one of the 500 questionnaires that were handed out to them. Partial Least Square was the statistical tool that was used to do the analysis of the data (PLS). It has been discovered that effective marketing communication has a beneficial effect on the retention of existing customers, which in turn leads to improved company performance. Additionally, the exchange of information has a beneficial effect on customisation, which ultimately leads to the performance of the company.
Understanding patterns and forest communities and its driving factors play a critical role in ecological studies. In view of this, present study attempted to understand the role of environmental and anthropogenic factors in relation to species diversity and composition along the altitudinal gradient (700-4000 m asl) in Indian western Himalaya. A total of 51 tree species (28 families) were recorded; pinaceae (5) and fagaceae (5) were the species rich families. α-diversity indices i.e., Margalef's richness index (R), Shannon index (Hʹ) and Simpson index showed a humped shaped distribution, whereas Evenness index (E) showed an inverted humped shaped distribution along the altitude range. Based on non-metric dimensional scaling (NMDS), four different community types were identified. Redundancy analysis (RDA) revealed a strong relationship of tree species composition with environmental (41.73% variation) and anthropogenic factors (17.35% variation). RDA further indicated that the bulk density (BD), disturbance index (DI), mean diurnal temperature range (Bio2) and solar radiation (SR) are significantly associated with sub-tropical (below 1200 m) and lower temperate forest (1200-1700 m) types. Likewise, soil organic carbon (SOC), precipitation of the driest quarter (Bio17) and pH were significantly associated with upper temperate (1700-2900 m) and subalpine forest composition (<2900 m). Both NMDS classification and RDA ordination clearly demonstrate spatial variability in composition of tree community and environmental properties.
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