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The acceleration of technology adoption in higher education, prompted by the global shift to online teaching during the COVID-19 pandemic, called for responsive programmes to address pedagogical challenges. This paper aims to present the design process and initial adoption of an institutional programme created to support instructors in providing educational resources for online and hybrid undergraduate courses at Reykjavik University.

By adopting a socio-technical perspective, the programme encompasses teacher support and digital platform use. Additionally, the programme aimed to enhance the student experience by increasing course consistency and facilitating data collection for future research on learning analytics.

The findings demonstrate the programme’s successful adoption, effectively strengthening teachers’ practices. Key contributions include a teacher-centric perspective on technology challenges and a socio-technical conceptualisation informed by teachers’ experiences during the pandemic.

This research provides valuable insights for teachers, administrators and researchers developing similar initiatives for effective professional development of faculty in online and hybrid teaching environments.

This paper aims to focus on the involvement of mental healthcare professionals in a co-design process of a digital healthcare platform. Many people with severe mental disorders need constant support and monitoring, and with long waiting lists and scarce resources in mental healthcare, there is a dire need for innovative digital solutions to counteract those issues. This paper elaborates on a co-design process of a digital platform and mobile app designed for people with mental disorders. The platform primarily considers two perspectives: i) the patients and ii) the healthcare professionals.

This paper is based on canonical action research, where the co-design involvement with 13 healthcare professionals is analyzed and their interactions with three primary scenarios are focused.

The main contribution of this paper is three co-design principles: i) clarity and information accessibility regarding the patient's side, ii) efficiency and flexibility when it comes to the healthcare professional's side and iii) a notification function in the mobile application.

The theoretical contribution is the conceptualization of the three co-design principles that others can use when designing digital platforms in healthcare in general and psychiatric care in particular. The practical contributions are firstly outlined through the co-design process itself, where scenarios to guide the work are used, and secondly, the improvements made in the digital platform derived from the results of the co-design process.

Social information is crucial to credit ratings and can improve the accuracy of the traditional credit assessment model. Drawing on the resource-based view (RBV) and social capital theory (SCT), this research explores the relationships between corporate social activities, network centrality and corporate credit behavior.

The authors used social network analysis (SNA) and regression analysis to analyze the data collected from 14,544 enterprises on the Alibaba platform.

The results indicate that among the four types of social activities, the number of corporate questions and posts shows a positive relationship with credit behavior; while the number of corporate comments has negative relationship with credit behavior. Further, degree and betweenness centralities mediate the relationship between the number of corporate questions, posts and comments with credit behavior.

This study contributes to the literature on non-financial factors (soft information) by exploring the social behavioral factors related to corporate credit. In addition, this study offers a new theoretical lens and reasonable explanations for investigating the relationship between corporate social activities, network centrality and credit behavior from the perspective of the resource-based view, while most studies are predictive and methodological. Moreover, this study provides new insights for platforms to evaluate enterprise credit and for managers to improve credit behavior.

The purpose of this paper is to contribute to the extant literature about the co-evolvement of Business Process Management (BPM) and the Internet of Things (IoT) by proposing the IoT-enabled Context-aware BPM (IoT-CaBPM) framework to bridge from the IoT infrastructure to context-aware business processes.

Motivated by the “Three Waves” of BPM research, IoT-enabled context-awareness is, therefore, expected to be achieved for enhancing the business process design, which pilots a new wave of BPR (Business Process Redesign/Reengineering) to enable the business process coevolve with IoT and analytics. This paper reports an illustrative case study of BPR in a Chinese bulk port, one of the hub seaports that widely adopted IoT technologies over the last few years.

The IoT implementation and data analytics has increased the efficiency and improve the monitoring effectively. The proposed IoT-CaBPM framework availably helps to identify and match nodes of IoT devices, business decisions and analytic models in order to redesign a business process towards context-aware variability. As IoT is rapidly becoming the new dominant IT paradigm is moving towards mature implementation in various industries, the corresponding BPR must be planned and executed strategically for achieving better benefits.

Despite some research extend BPM standard by integrating IoT devices as a sort of resources or report generically that the ports operations are affected by IoT, there is still a lack of layers from the IoT infrastructure to context-aware business processes. An industrial BPR case with business models in detail is also a lack for presenting the specific implications and effectiveness of the adoption of such technologies. This paper fills in this gap.