Design Principles (DPs) for Building Social Media Enabled Collaborative Learning Environments (SMECLEs)

Healthcare service systems require care follow-up procedures using clinical practice guidelines targeting specific patient groups. Studies have introduced various methods for providing patient care, but system design for follow-up support remains limited to a few specific types of disease management. A general need is identified in a climate of increased demand on fewer doctors, for which mobile systems can provide solutions. In this paper, we present a post-treatment follow-up Decision Support framework for use by patients and physicians. The proposed care support is cloud-based and offers online and asynchronous Patient-Physician interaction, with a ratings system designed to ensure continuing improvement in outcomes. Using a design science research process the solution framework has been prototyped and evaluated with representative physicians and users. Our framework provides a model for extending care service systems to inform better follow-up decision-making

Social media enabled collaborative learning environments: a design science research approach

Collaborative technologies such as Group Decision Support Systems were proclaimed to be able to impact the learning environments of educational institutions twenty years ago, where the Information Systems discipline was interested in determining whether they were capable of transforming the traditional methods of teaching. It was understood that these technologies were effective at transforming learning environments from a traditional approach to a collaborative one, where the learner is part of the learning process, but little has actually changed in this time. However, new generations of these collaborative technologies often emerge, and the platforms of social media are one such technology. In a similar fashion to previous collaborative technologies, social media have been proclaimed as impacting the learning environments of educational institutions through better communication and collaboration, in new and exciting ways. However, a problem that has been identified is there is a lack of understanding on whether the platforms that are enabled by social media are effective at enabling collaborative learning. This study helps improve this understanding. A design science research (DSR) approach was adopted to build an evaluation framework to be able to evaluate the effectiveness of social media enabled collaborative learning environments (SMECLEs). The evaluation framework was developed during a five year DSR study, over six design cycles. These incorporated insights from existing literature on DSR, social media, and collaborative learning, using 272 journal and conference articles. Further, data was gathered from six SMECLEs, which consisted of 857 tweets, 1439 blog posts, and 3376 blog comments. The resulting framework was then used to evaluate the six SMECLEs, where a number of trends were identified, which suggests that the tool is effective for its intended purpose. Thus, the primary contribution of this study, to both practice and the knowledge base, is the evaluation framework for social media enabled collaborative learning environments (SMECLEs)

Blending Modalities, Pedagogies, and Technologies: Redesigning an Information Systems Course to Encourage Engagement

Having realized that the traditional approach to teaching our IS course on Business and Systems Analysis was not engaging students enough, we decided we needed to redesign our learning environment. The goal was to develop a course that encourages student participation, allows them to practice the different techniques we introduce them to, and empowers students to take control of their learning. To achieve this, we blended modalities (online and in-person), pedagogies (constructivist and collaborative approaches), and technologies (student-centered technologies). This resulted in a redesign that included replacing the lecture with learning resources of a digestible size and an activity-based discussion, the workshop focusing on a project for authentic problems, sense-making via doing and reflection, hybrid participation in a steady and sustainable pace, and learning communities to enable more interaction. In this paper, we share our experience and lessons that we have learned through a journey toward a student-centered approach to learning

Data-driven Culture: A Transformational Framework

In the context of digital transformation, having a data-driven organizational culture has been recognized as an important factor for data analytics capabilities, innovativeness and competitive advantage of firms. However, the current literature on data-driven culture (DDC) is fragmented, lacking both a synthesis of findings and a theoretical foundation. Therefore, the aim of this work has been to develop a comprehensive framework for understanding DDC and the mechanisms that can be used to embed such a culture in organizations as well as structuring prior dispersed findings on the topic. Based on the foundation of organizational culture theory, we employed a Design Science Research (DSR) approach using a systematic literature review and expert interviews to build and evaluate a transformation-oriented framework. This research contributes to knowledge by synthesizing previously dispersed knowledge in a holistic framework, as well as, by providing a conceptual framework to guide the transformation towards a DDC

Designing social media analytics tools to support non-market institutions: Four case studies using Twitter data

This research investigates the design of social media tools for non-market institutions, such as local government or community groups. At the core of this practice-based research is a software tool called LocalNets. LocalNets was developed to collect, analyse and visualise data from Twitter, thereby revealing information about community structure and community assets. It is anticipated that this information could help non- market institutions and the communities with which they work. Twitter users send messages to one another using the ‘@mention’ function. This activity is made visible publicly and has the potential to indicate a Twitter user’s participation in a ‘community structure’; that is, it can reveal an interpersonal network of social connections. Twitter activity also provides data about community assets (such as parks, shops and cinemas) when tweets mention these assets’ names. The context for this research is the Creative Exchange Hub (CX), one of four Knowledge Exchange Hubs for the Creative Economy funded by the UK Arts and Humanities Research Council (AHRC). Under the theme of ‘Digital Public Space’, the CX Hub facilitated creative research collaborations between PhD researchers, academics and non-academic institutions. Building on the CX model, this PhD research forged partnerships between local councils, non-public sector institutions that work with communities, software developers and academics with relevant subject expertise. Development of the LocalNets tool was undertaken as an integral part of the research. As the software was developed, it was deployed in relevant contexts through partnerships with a range of non-market institutions, predominantly located in the UK, to explore its use in those contexts. Four projects are presented as design case studies: 1) a prototyping phase, 2) a project with the Royal Society of Arts in the London Borough of Hounslow, 3) a multi-partner project in Peterborough, and 4) a project with Newspeak House, a technology and politics co-working space located in London. The case studies were undertaken using an Action Design Research method, as articulated by Sein et al. Findings from these case studies are grouped into two categories. The first are ‘Implementation findings’ which relate specifically to the use of data from Twitter. Second there are six ‘situated design principles’ which were developed across the case studies, and which are proposed as having potential application beyond Twitter data. The ‘Implementation findings’ include that Twitter can be effective for locating participants for focus groups on community topics, and that the opinions expressed directly in tweets are rarely sufficient for the local government of community groups to respond to. These findings could benefit designers working with Twitter data. The six situated design principles were developed through the case studies: two apply Burt’s brokerage social capital theory, describing how network structure relates to social capital; two apply Donath’s signalling theory – which suggests how social media behaviours can indicate perceptions of community assets; and two situated design principles apply Borgatti and Halgin’s network flow model – a theory which draws together brokerage social capital and signalling theory. The principles are applicable to social media analytics tools and are relevant to the goals of non-market institutions. They are situated in the context of the case studies; however, they are potentially applicable to social media platforms other than Twitter. Linders identifies a paucity of research into social media tools for non-market institutions. The findings of this research, developed by deploying and testing the LocalNets social media analytics tool with non-market institutions, aim to address that research gap and to inform practitioner designers working in this area

Design model for integrating learning management systems and massive open online courses on a digital e-Learning platform: implications for Zimbabwean universities.

Doctoral Degree. University of KwaZulu-Natal, Durban.Available affordances for learning provide opportunities for advanced technology-enhanced teaching and learning. Digital learning environments can make relevant learning content available to students using existing infrastructure. This creates an environment which requires different learning management systems (LMS) to interact with, and exchange information. Increasing use of mobile devices, digital learning platforms, LMS, and massive open online courses (MOOCs), has necessitated integration design approaches. However, ignorance of resources offered and discouragement and frustrations arising from the economic situation in Zimbabwe regarding regulated access to electronic services make automation of teaching processes a great challenge. In this thesis, a design model for integrating LMS and MOOCs on a digital learning platform is proposed. From an e-learning point of view, the study contributes to the working of e-learning management systems through automation process of uploading content to LMS. From a computer science point of view, the study contributes to software engineering principles where it puts together three different platforms; LMS, MOOCs and digital learning platforms under one design. Methodologically, the study uses design science research (DSR) framework with software modelling language to address challenges in teaching and learning. This study describes how the Technology Adoption Model (TAM) and Task-Technology Fit (TTF) model can be used together with DSR in relation to design model evaluation. A software modeling language was used to create the logical designs, which were evaluated using experimental design approach. Software engineering experts and lecturers were invited to validate proposed logical designs. The key deliverables of the study include requirements specifications for the design model for integrated learning management systems, as well as the logical designs for the design model. The design model, as per requirements specification and the evaluation thereof, are based on TAM and TTF. The hybrid model proposed was further validated using structural equation modeling via the partial least squares and path modeling. In our views, the interventions of integration work would support decision making, which influences choices made by policy makers when taking decisions about higher education technological infrastructure

Examining the Impact of Personal Social Media Use at Work on Workplace Outcomes

A noticable shift is underway in today’s multi-generational workforce. As younger employees propel digital workforce transformation and embrace technology adoption in the workplace, organisations need to show they are forward-thinking in their digital transformation strategies, and the emergent integration of social media in organisations is reshaping internal communication strategies, in a bid to improve corporate reputations and foster employee engagement. However, the impact of personal social media use on psychological and behavioural workplace outcomes is still debatebale with contrasting results in the literature identifying both positive and negative effects on workplace outcomes among organisational employees. This study seeks to examine this debate through the lens of social capital theory and study personal social media use at work using distinct variables of social use, cognitive use, and hedonic use. A quantitative analysis of data from 419 organisational employees in Jordan using SEM-PLS reveals that personal social media use at work is a double-edged sword as its impact differs by usage types. First, the social use of personal social media at work reduces job burnout, turnover intention, presenteeism, and absenteeism; it also increases job involvement and organisational citizen behaviour. Second, the cognitive use of personal social media at work increases job involvement, organisational citizen behaviour, employee adaptability, and decreases presenteeism and absenteeism; it also increases job burnout and turnover intention. Finally, the hedonic use of personal social media at work carries only negative effects by increasing job burnout and turnover intention. This study contributes to managerial understanding by showing the impact of different types of personal social media usage and recommends that organisations not limit employee access to personal social media within work time, but rather focus on raising awareness of the negative effects of excessive usage on employee well-being and encourage low to moderate use of personal social media at work and other personal and work-related online interaction associated with positive workplace outcomes. It also clarifies the need for further research in regions such as the Middle East with distinct cultural and socio-economic contexts