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The purpose of this study is to diffuse knowledge about the limited roles women still play in Nigeria, as opposed to the roles they could be playing if they were to be empowered,
especially in terms of local and national security. The research questions examined the different ways in which women in Nigeria are suffering the omnipresence of patriarchal beliefs and the norms they entail, which interviews with a sample of nine Nigerian women have testified for. It further analyzed the possible interdependence between patriarchy and insecurity levels, and how empowering women could help building peace in the region. Three experts on the topic were interviewed, and testified for this correlation between women and security, while also pointing out the need for governmental support in terms of financing and policing this inclusion of women. The paper finally proposes a set of recommendations to the different stakeholders of Nigeria, from the civil society and Non-Governmental Organizations (NGOs) to the Government itself, on how to reach empowerment and peacebuilding in a sustainable way. Structured mainly on the social and cultural determinants of women’s roles in Nigeria, the study revealed that such determinants need political and legislative will if they are to improve. There is an urgent need for the Nigerian Government to take responsibility for the insecurity the country is facing and acknowledge how this insecurity is curbing any improvement towards both women empowerment and peacebuilding at the national and regional levels. Some of the recommendations include the promotion of dialogue among stakeholders, the implementation of sport programs to diffuse values of tolerance and empowerment, and the alteration of discourse around women and girls to change the conceptualization of power and therefore the roles they play in the society.
Can the different framing of price promotions decrease consumer value perception and their willingness to pay? Prior research provides evidence of differences in consumer perception of economically equivalent monetary and non-monetary price promotions. In detail, many research works suggest that non-monetary promotions positively affect consumer perception and are therefore preferred over monetary ones that are associated with a drop in quality. Results suggest that this biased consumer behavior is caused by the framing of the promotion, causing difference in cognitive processing and dissimilarities in perception of benefits and product quality. We put this theoretical foundation to the test on the Turkish consumer market of non-durable goods, in order to contrast effects on consumers of the economically equivalent formats ‘50% discount’ as a monetary and ‘buy-one-get-one-free’ as a non-monetary promotion. In particular, the focus was set on analyzing attractiveness perception of the two promotion types and the development of WTP pre- and post-promotion. To achieve this, the non-durable goods rice and antibacterial soap were selected as product stimuli to stage scenarios before, during and after a promotion period. Four sets of questionnaires were shared on social media and distributed to a total of 919 participants via randomization generator. The survey results put forward empirical validation of product-related decrease in value perception as a consequence of both promotion types, namely the ‘promotional effect’. Nevertheless, our data provide no evidence for the ‘framing effect’ in neither attractiveness perception nor post-promotional WTP. This paper aims to bridge the gap on empirical research of key theoretical implications of promotional impact on consumer behavior and to benefit domestic and foreign marketing managers conducting business operations on the Turkish market.
Epidemiology and Risk Factors of Sports Injuries - Multivariate Analyses Using German National Data
(2007)
How much blood is needed?
(2010)
Experimental study of single grit scratch test on carbon fiber-reinforced polyether ether ketone
(2021)
The trend of digitalization has fundamentally changed numerous industries. The field of marketing in particular has changed significantly in recent years. Technological progress makes it possible to reach new customer groups individually with the targeted use of artificial intelligence. It is highly relevant for companies to know how modern marketing can be used profitably with the help of artificial intelligence and which hurdles and challenges need to be considered. The numerous applications of artificial intelligence in marketing include, for example, sales forecasts, personalization of websites or chatbots. This bachelor thesis focuses on the use of artificial intelligence in marketing and analyses the effects on customer loyalty. In order to explain the success of the use of artificial intelligence in marketing, three established theories are considered. The trust-commitment theory emphasizes the role of trust and commitment in the process of developing relationships between buyers and sellers. Several studies show that customers trust a company or a deployed artificial intelligence technology more when the services are personalized, convenient and of high quality. A high level of trust in turn has a positive impact on the overall service experience. The expectation-confirmation model consists of three determinants to explain users' intention to continue using the artificial intelligence enabled service: confirmation of expectations, perceived usefulness and satisfaction. When users' expectations are met or even exceeded, this has a positive impact on customer satisfaction, which in turn has a positive impact on the intention to reuse a technology. The technology acceptance model predicts an individual's attitude towards technology use, taking into account two main determinants: perceived usefulness and perceived ease of use. Various studies show that perceived usefulness and perceived ease of use are necessary preconditions for user satisfaction and intention to reuse the artificial intelligence technology. These results are also in line with the findings from the expectation-confirmation model.