Promises and Challenges of Medical Patient Healthcare Portals in Underserved Communities

As a safety-net medical center that serves many underserved communities, Einstein Medical Center Philadelphia (EMCP) faces many challenges in providing healthcare to its communities. To improve those services, EMCP has released a new IT healthcare portal (app). This chapter describes some of the promises and challenges EMCP is currently facing in their attempts to convince communities in its catchment area to adopt that healthcare portal. The challenges are discussed in the contexts of poor social determinants of health (SDOH), unique social factors, as well as the importance of managing community trust in EMCP within the broader contexts of underserved communities of which the new portal is only part of the story. This is not a typical case of IT adoption. The challenges at hand are not only technical but to a large degree social, dealing in part with issues of cultural diversity, perceived lack of respect, and poor health literacy.

A Person-Technology-Health Framework for Understanding the Antecedents of the Routine Use of Mobile Health Services (Preprint)

BACKGROUND Although mobile health (mHealth) services have been proven to bring numerous benefits to users, the achievement of these potential benefits depends to a great extent upon users’ routine use. Previous studies on mHealth services indicate that the antecedents of the routine use remain largely unexplored. OBJECTIVE The purpose of this study is to propose a person-technology-health framework which underlines how personal factors (e.g., personal innovativeness in IT), technological factors (e.g., trust), and health factors (e.g., perceived health severity) jointly influence routine use intention regarding mHealth services. METHODS The proposed research model and related hypotheses were tested based on survey data comprising 270 respondents. RESULTS The results indicate that personal innovativeness in IT, trust, and perceived health severity are of importance for enhancing routine use intention of mHealth services. Specifically, in situations of high perceived health severity, trust relates less positively to routine use intention than personal innovativeness in IT. In contrast, in situations of low perceived health severity, trust relates more positively to routine use intention than personal innovativeness in IT. All factors collectively explain 44.2% variance in routine use intentions of mHealth services. CONCLUSIONS This study is one of the first to propose a person-technology-health framework by investigating combined effects of personal innovativeness in IT, trust, and perceived health severity on routine use of mHealth services. In addition, this integrative PTH framework provides insights into other contexts of health-related IT adoption and usage and thus may be valuable in future studies.

Interpretable video tag recommendation with multimedia deep learning framework

PurposeTags help promote customer engagement on video-sharing platforms. Video tag recommender systems are artificial intelligence-enabled frameworks that strive for recommending precise tags for videos. Extant video tag recommender systems are uninterpretable, which leads to distrust of the recommendation outcome, hesitation in tag adoption and difficulty in the system debugging process. This study aims at constructing an interpretable and novel video tag recommender system to assist video-sharing platform users in tagging their newly uploaded videos.Design/methodology/approachThe proposed interpretable video tag recommender system is a multimedia deep learning framework composed of convolutional neural networks (CNNs), which receives texts and images as inputs. The interpretability of the proposed system is realized through layer-wise relevance propagation.FindingsThe case study and user study demonstrate that the proposed interpretable multimedia CNN model could effectively explain its recommended tag to users by highlighting keywords and key patches that contribute the most to the recommended tag. Moreover, the proposed model achieves an improved recommendation performance by outperforming state-of-the-art models.Practical implicationsThe interpretability of the proposed recommender system makes its decision process more transparent, builds users’ trust in the recommender systems and prompts users to adopt the recommended tags. Through labeling videos with human-understandable and accurate tags, the exposure of videos to their target audiences would increase, which enhances information technology (IT) adoption, customer engagement, value co-creation and precision marketing on the video-sharing platform.Originality/valueThe proposed model is not only the first explainable video tag recommender system but also the first explainable multimedia tag recommender system to the best of our knowledge.

Factors in Adopting Green Information Technology: A Qualitative Study in Malaysia

Green Information Technology (IT) has emerged as a crucial topic for environmentally and sustainability development. At the same time, Green IT impacts the organisation as well. Studies show there is a lack of a proposed framework in the Green IT literature. As the IT industry is one of the significant sectors supporting the Green Technology Policy, this study objective is to identify the factors rendered in the Green IT adoption and examine the factors that drive the adoption of Green IT in Malaysia. The study referred to the case study to show the most important factors rendered in Green IT adoption in the public sector and the private sector in Malaysia. A qualitative method was applied through a semi-structured interview by using open-ended questions as a guideline with five organisations from the public sector and the private sector. This study prioritises the explanation building as a specific approach to analysis. Results show that there are five factors rendered in Green IT adoption in Malaysia: environmental factor, cost factor, organisational factor, technological factor, and business opportunity factor. This study benefits policymaker, organisations, and other researchers to support Malaysia’s pledge to reduce its Greenhouse Gas (GHG) emission intensity of Gross Domestic Product (GDP) by up to 45% by 2030.

Analysis of User Resistance Towards Adopting E-Office: A Case from A Governmental Organization

The advancement in information technology is accelerating, affecting many industries. Government entities are one of the industries that have been affected. They adopt information technology (IT) to replace disorganized traditional business processes. This study observes that the IT innovation adoption in an organization will lead to some resistance. We bring a case of IT adoption to replace one part of a manual business process (letter management system) into a digitalized system called E-office in one of Indonesia’s governmental organizations. The adoption of IT causes some resistance within the organization, which motivates us to identify resistances before and during the adoption. We interview a team who oversees handling E-office implementation and discovered two types of resistances in technology adoption: delaying resistances and opposition resistances. Meanwhile, there are two types of behavioral resistances: reluctant compliance resistance and misguided application resistance. This research further provides details on the approaches used by the organization to mitigate resistances before and during the adoption of the E-office project's implementation.

Analysis of User Resistance Towards Adopting E-Office: A Case from A Governmental Organization

The advancement in information technology is accelerating, affecting many industries. Government entities are one of the industries that have been affected. They adopt information technology (IT) to replace disorganized traditional business processes. This study observes that the IT innovation adoption in an organization will lead to some resistance. We bring a case of IT adoption to replace one part of a manual business process (letter management system) into a digitalized system called E-office in one of Indonesia’s governmental organizations. The adoption of IT causes some resistance within the organization, which motivates us to identify resistances before and during the adoption. We interview a team who oversees handling E-office implementation and discovered two types of resistances in technology adoption: delaying resistances and opposition resistances. Meanwhile, there are two types of behavioral resistances: reluctant compliance resistance and misguided application resistance. This research further provides details on the approaches used by the organization to mitigate resistances before and during the adoption of the E-office project's implementation.

Ride on Conveniently!

This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.