Attitude towards branded mobile applications and reuse intention : the moderating effect of gender and prior brand involvement

Mobile applications (apps) have created a significant interest among advertisers and marketers, mostly because of their positive impact on user´s attitude and high level of engagement towards the brand. This study analyses the impact of gender-specific tendencies in the assessment of utilitarian and hedonic oriented branded mobile apps, highlighting that utilitarian content is favoured when intending to reuse mobile applications. The thesis strives to understand customer’s attitude towards branded mobile applications via pre-test and post-test survey focusing on four mobile branded applications- Google Map, Snapchat, Uber and Tinder. Pearson correlation and linear regression are used to understand the positive relationship between attitude and reuse intention and one-way Anova is used to understand gender preferences towards utilitarian and hedonic content of branded mobile apps. Results indicate that individual’s attitudes are strongly positively related with their reuse intention. Likewise, for Gender, men & women both have a higher tendency to reuse utilitarian apps, as contrary to the developed hypothesis that women mostly prefer hedonic app rather than utilitarian app. Additionally, the results conclude that the level of prior brand involvement may not necessarily moderate individual’s immediate response towards branded mobile application and reuse intention. Finally, implications associated with the findings are discussed with respect to clarifying possible outcomes obtained during result analysis and initiate solutions to improve further studies in this area.Este estudo analisa o impacto de tendências específicas de cada género na avaliação das marcas de aplicações móveis utilitaristas e hedónicas, realçando que a informação de conteúdo utilitarista é preferida no que toca à reutilização de aplicações. A tese procura compreender a atitude do cliente perante as marcas das aplicações através de questionário pré e pós-teste, focando-se em quatro aplicações: Google Map, Snapchat, Uber e Tinder. A correlação de Pearson e a regressão linear são usadas para entender a relação entre atitude e intenção de reutilização. Análise de variância é usada para perceber a preferência entre conteúdos das aplicações utilitaristas e hedónicas. Os resultados indicam que as atitudes individuais estão muito positivamente relacionadas com a intenção de reutilização. De igual modo, para género, homens e mulheres têm ambos uma grande tendência para reutilizar aplicações utilitaristas, contrariamente com a hipótese desenvolvida que as mulheres preferem aplicações hedónicas. Além disso, os resultados concluem que o nível de envolvimento anterior da marca pode não necessariamente moderar a resposta imediata do indivíduo em relação à aplicação móvel e à intenção de reutilização da marca. Finalmente, as implicações associadas com as conclusões são discutidas de forma a clarificar resultados possivelmente obtidos durante a análise dos dados e iniciar soluções para melhorar estudo adicionais nesta área

Where Information Systems Research Meets Artificial Intelligence Practice: Towards the Development of an AI Capability Framework

Information systems (IS) research has always been one of the leading applied research areas in the investigation of technology-related phenomena. Meanwhile, for the past 10 years, artificial intelligence (AI) has transformed every aspect of society more than any other technological innovation. Thus, this is the right time for IS research to foster more quality and high-impact research on AI starting by organizing the cumulated body of knowledge on AI in IS research. We propose a framework called AI capability framework that would provide pertinent and relevant guidance for conducting IS research on AI. Since AI is a fast-evolving phenomenon, this framework is founded on the main AI capabilities that shape today’s fast-moving AI ecosystem. Thus, it is crucial that such a framework engages both AI research and practice into a continuous and evolving dialogue

Selling The American People: Data, Technology, And The Calculated Transformation Of Advertising

This dissertation tells the history of a future imagined by advertisers as they interpreted and constructed the affordances of digital information technologies. It looks at how related efforts to predict and influence consumer habits and to package and sell audience attention helped orchestrate the marriage of behavioral science and big-data analytics that defines digital marketing today. My research shows how advertising and commercial media industries rebuilt their information infrastructures around electronic data processing, networked computing, and elaborate forms of quantitative analysis, beginning in the 1950s. Advertisers, agencies, and media companies accommodated their activities to increasingly calculated ways of thinking about consumers and audiences, and to more statistical and computational forms of judgement. Responding to existing priorities and challenges, and to perceived opportunities to move closer to underlying ambitions, a variety of actors envisioned the future of marketing and media through a set of possibilities that became central to the commercialization of digital communications. People involved in the television business today use the term “advanced advertising” to describe a set of abilities at the heart of internet and mobile marketing: programmability (automation), addressability (personalization), shoppability (interactive commerce), and accountability (measurement and analytics). In contrast to the perception that these are unique elements of a “new” digital media environment that emerged in the mid-1990s, I find that these themes appear conspicuously in designs for using and shaping information technologies over the course of the past six decades. I use these potential abilities as entry points for analyzing a broader shift in advertising and commercial media that began well before the popular arrival of the internet. Across the second half of the twentieth century, the advertising industry, a major cultural and economic institution, was reconstructed around the goal of expanding its abilities to account for and calculate more of social and personal life. This transformation sits at an intersection where the processing of data, the processing of commerce, and the processing of culture collide