Designing evaluation plans for mHealth interventions : a case study on The Weal Life app

As an applied research project, the purpose of this dissertation is to develop a suitable framework for health-tech companies to evaluate and monitor their mobile-based health technologies’ efficacy and usability, whilst defining features and maximizing performance. Indeed, since no officially recognized standards exist for mobile health (mHealth) apps evaluation, despite the fact they can produce health or behavioral benefits, this crucial assessment is often overlooked by companies and poorly integrated into planning. This research illustrates four mHealth evaluation frameworks and describes the assessment plan that has been developed for The Weal Life app, a socially connected app targeted to caregivers and circle of support. Ultimately, and this is our main finding, we identified two necessary conditions for health-tech companies to maximize their mHealth apps evaluation and performance. The first is to embrace a strategic approach that aligns both the mobile health intervention and app development goals, and the second is to assess the impact of these technologies. Indeed, we show that impact measurement process plays the role of “information systems” allowing companies not only to quantify the impact of their products, but also to monitor and improve their performance constantly. The detail of The Weal Life assessment plan will ensure the findings add to evidence and have broad relevance to healthcare professionals and researchers in general.Enquanto projeto de pesquisa, o objetivo desta dissertação é desenvolver diretrizes adequadas para as empresas de tecnologias da saúde avaliarem e monitorizarem a eficácia e usabilidade das suas tecnologias móveis, paralelamente definindo especificidades e aumentando o desempenho. Com efeito, uma vez que não existem linhas de orientação reconhecidas no que toca à avaliação de aplicações mHealth, apesar das mesmas poderem ser benéficas para a saúde e comportamento, este estudo crucial é amiúde desprezado por empresas e pobremente executado. Esta pesquisa ilustra quatro formas de avaliação mHealth e descreve o plano de teste que foi desenvolvido para a app The Weal Life, uma aplicação social orientada para os cuidadores e círculo de apoio. Em síntese, identificámos duas condições necessárias para que empresas tecnológicas na área de saúde possam maximizar a avaliação e performance das suas aplicações mHealth. A primeira consiste em aplicar uma abordagem estratégica que alinhe ambos os objetivos da intervenção tecnológica e do desenvolvimento da aplicação; a segunda, e mais importante, é avaliar corretamente o impacto destas mesmas tecnologias na população-alvo e sociedade em geral. De facto, concluímos que a avaliação funcionará como um “sistema de informação” atualizado, permitindo às empresas quantificar, monitorizar e melhorar a performance dos seus produtos. O detalhe do plano de avaliação da The Weal Life vai fundamentar os resultados postos em evidência e ser relevante para os profissionais de saúde e investigadores em geral

Analasis pengaruh instagram terhadap purchase intention melalui brand awareness dan brand trust pada starbucks surabaya

This study aims to determine the effect of Instagram on Purchase Intention through Brand Awareness and Brand Trust on Starbucks Surabaya consumers. The sampling technique used is non-probability sampling by distributing questionnaires. The sample used in this study were 150 respondents. The requirements of the respondents in this study were domiciled in Surabaya, aged at least 18 years, visited the Starbucks Indonesia Instagram account for at least the last 3 months and were loyal customers who consumed at least 3 times in the last 3 months. The data analysis technique used is SEM-PLS analysis using the SmartPLS 3.0 program. The results of this study indicate that Social Media Marketing has a significant effect on Brand Awareness, Social Media Marketing has a significant effect on Brand Trust, Social Media Marketing has no significant effect on Purchase Intention, Brand Awareness has no significant effect on Purchase Intention, Brand Trust has a significant effect on Purchase Intention, Social Media Marketing has a significant effect on Purchase Intention through Brand Awareness, Social Media Marketing has a significant effect on Purchase Intention through Brand Trust

Mobile Display Advertising ”Pengaruh Aktifitas Browsing, Flow Dan Kepercayaan Online Terhadap Niat Pembelian Barang-Barang Terbaru Di Instagram (Studi Pada Follower Akun Instagram Kategori Produk Fashion, Gadget, dan Kuliner di Surabaya)

Popularitas Instagram yang pada awal peluncurannya merupakan sosial media untuk berbagi foto dan video, pada saat ini bertransformasi menjadi salah satu media pemasaran yang potensial. Pesatnya perkembangan M-Commerce membuat Instagram menjadi sosial media favorit bagi para pemasar untuk menstimuli perilaku konsumen. Selain untuk berbagi foto dan video, pengguna instagram memanfaatkannya untuk mencari informasi tentang suatu produk dari akun yang mereka ikuti. Perasaan menyenangkan yang didapat membuat mereka menghabiskan waktu lama,dan mereka mendapatkan informasi yang membuat mereka percaya terhadap akun tersebut dan menstimuli terjadinya niat pembelian pada produk yang di posting akun yang mereka ikuti. Penelitian ini menggunakan teori Stimulus-Organism-Response (S-O-R) dan penelitian ini menggunakan pendekatan kuantitatif. Pengambilan sampel dengan menggunakan metode non-probability sampling, menggunakan tehnikpurposive sampling. Responden dalam penelitian ini sebanyak 200 responden. Teknik Analisa yang digunakan dalam penelitian ini adalah Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa aktifitas browsing pada Instagram memiliki pengaruh positif terhadap kondisi flow, kepercayaan online, dan niat pembelian. Kemudian kepercayaan online pada akun di Instagram memiliki pengaruh positif terhadap kondisi flow. Demikian juga dengan variabel kondisi flow dan kepercayaan online juga memiliki pengaruh terhadap niat pembelian barang-barang terbaru di Instagra

Is digital influencers’ content more effective than your brands’ in creating online brand related content?: The impact of perceptions regarding digital influencers as source of brand content on consumers’ purchase intention of beauty brands

The rise of social media content generated by consumers about beauty products/services has caught the attention of brands from that segment, where some consumers ascended to digital influencers - revealing to be effective in influencing purchase decisions. Considering this, beauty brands started to increasingly resource to influencers with that purpose. The question of whether this content creation by influencers is more effective in generating brand outputs than content created by the brand itself remains unanswered. The purpose of this study is to understand to what extent perceptions regarding digital influencers’ social media content have a stronger impact than perceptions regarding content created by brands in consumers’ both purchase intention and online engagement with the brand. The role of brand attitude was also analyzed in this context. 200 female respondents’ answers were analyzed through a questionnaire. The results showed that perceptions regarding content generated by influencers don’t have a stronger impact than perceptions regarding content created by brands on brand attitude and towards both consumers’ purchase intention and online engagement with beauty brands. However, brand attitude revealed to be positively correlated with both perceptions, also having a significant impact on consumers’ purchase intention and online engagement with the brand, thus, it was generally a strong mediator of effects. Consequently, brands should not replace their own social media content with content created by influencers but work together and include them in their social media strategy.O conteúdo criado nas redes sociais pelos consumidores sobre produtos/serviços de beleza captou a atenção das marcas desse segmento, onde alguns ascenderam a digital influencers - revelando-se eficazes em influenciar decisões de compra. Assim, as marcas de beleza começaram a recorrer a estes com esse propósito. A questão do conteúdo criado por influencers ser mais eficiente em gerar outputs para marca do que o conteúdo criado pela marca em si permanece por responder. O propósito deste estudo é perceber de que modo as perceções à cerca do conteúdo gerado por influencers tem um maior impacto do que as perceções à cerca do conteúdo criado pelas marcas na intenção de compra e na interação online com as marcas. O papel da atitude em relação à marca foi simultaneamente analisado neste contexto. As respostas de 200 respondentes do sexo feminino foram analisadas através de um questionário. Os resultados mostraram que as perceções em relação ao conteúdo gerado por influencers não têm um maior impacto que as perceções em relação ao conteúdo criado pelas próprias marcas em ambas a intenção de compra e na interação online com as marcas. No entanto, a atitude em relação à marca mostrou estar positivamente correlacionada com ambas as perceções, com um impacto significativo na intenção de compra e na interação online com as marcas, e, no geral, ter um forte efeito de mediação. Consequentemente, as marcas não devem substituir o seu conteúdo com o conteúdo criado por influencers, mas trabalhar em conjunto e incluí-los na sua estratégia

On reputation evaluation in 2.0 communities.

Current technology has disappointed many members of WEB2.0 communities by its slow and tough adaptability to specific users\u2bc skills and competences. Most of the largest WEB2.0 communities rely on the work of their members to create the resources they are built on, a business model known under the acronym UGC (User Generated Contents), which is today very popular yet still very simple and immature. Presently the vast majority of the communities that relay on UGCs lack an accurate ranking system for their most proficient members and almost none of them provide an effective rewarding mechanism. Sometimes they do provide means to cooperatively evaluate and classify the available resources, but very few of these mechanisms take in account the competence of the voters. Although rough, the current technology seems sufficient to confer to some cooperative web communities a discrete success, which for the most part is due to their core-members passion and commitment. Unfortunately deficiencies like the ones described can involve that, over time, only a small amount of the members keep committed and willing to produce resources of a certain quality. This tendency leads to the situation in which, although the community grows in terms of numbers, in proportion its value decreases. Considering the fast diffusion of web2.0 communities and the new emerging Enterprise2.0 communities phenomena, this problem needs no longer to be underestimated. 2.0 communities should start thinking about new means to raise their quality standards in order to stay effective and successful over time. Providing communities with concrete rewarding systems like remunerative ones could fix the problem, nevertheless this approach rarely and loosely has been implemented so far. The reason is that the task involves several and not trivial side problems, such as the necessity of an advanced ranking mechanisms to evaluate the members. This method should be able to consider complex factors like competence and commitment, but at the same time it should be easily understandable and shared by the members of the community. In order to make sure that the members share and agree with the rating system it must involve their collaboration, which is a non trivial problem, especially in Entrprise2.0 communities. For the aforementioned reasons I propose as a means to overcome the problem a method based on reputation rather than competence and commitment, which is named Reputation Community Evaluation (RCE). This new approach is not based solely on quantitative measurements but relies on an algorithm which exploits the community member reputations to evaluate the resources and the members themselves. In this method the reputation of the single member grows or decreases according to its activity in the community and the evaluations received from the other members over a certain period of time. All members opinions/votes are themselves weighted accordingly to the single member reputation. This approach makes possible to put in place new kinds of business models, which aim to use users reputations as a digital currency inside Web 2.0 or Enterprise 2.0 communities