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Despite extensive research on the underlying reasons for the energy performance gap in buildings, there is a critical need for stakeholders to standardize and facilitate the use of this knowledge and support its broader application by machines. Our research addresses this gap by developing both an ontology and a tool to utilize risk information regarding the performance gap in buildings.

Research into this topic began with the creation of an energy performance gap-risk ontology for new and existing buildings using the METHONTOLOGY method. This comprised a comprehensive literature review and semi-structured interviews with ten experts concerning six buildings, in order to develop taxonomies and define risk factor interactions. It was followed by a three-stage validation using a mixed-method research methodology. Steps included comparing the ontology with a similar empirical study, gathering expert opinions via interviews and ratings assessments, and finally, interviewing an experienced professional to ascertain whether there were any concepts not covered by the ontology. The taxonomies were modeled in Protégé 5.5, and using the ontology, a spreadsheet tool was developed using Microsoft Visual Basic for Applications in Excel.

The ontology identified 36 primary risk factors and a total of 95 when including additional risks linked to certain factors. Factors such as professional liability insurance, stakeholder motivation, effective communication, experience, training, integrated design, simplicity of detailing, building systems or design and project commissioning can help manage the performance gap in buildings. The tool developed serves as a decision-support system, offering features like project risk checklists to assist stakeholders in addressing the performance gap.

This study is the first to develop an energy performance gap-risk ontology and a tool to help project stakeholders collect, store and share building risk information.

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

This paper aims to explore the underlying mechanism whereby information-induced stress, resulting from the burdensome nature, questionable information reliability, misleading content and diffuse characteristics of infodemic pressure, impacts individuals’ online information-related behavior and health-related preventive behavior.

We conducted a cross-sectional survey organized with social media users during the post-pandemic period. Based on the 342 valid responses, structural equation modeling was employed to validate the research model.

The results substantiate our multidimensional view of infodemic stress, which encompasses dimensions including information overload, uncertainty, diffusivity and insecurity. We found that the infodemic stress contributes to pandemic fatigue, then engenders both negative information behavior and reduced engagement in preventive behavior. Furthermore, infodemic stress has also been found to have a direct positive effect on individuals’ engagement in preventive behavior.

This study introduces the concept of “infodemic stress” and presents a comprehensive framework to capture its various dimensions. This study offers novel insights into the psychological and behavioral repercussions of the infodemic stress transmitted through social media.

This study aims to explore the key challenges and drawbacks of smart contracts (SCs) and how they impact digital resilience within small and medium enterprises (SMEs). Whilst this type of technology is seen as a step forward in terms of traceability, transparency and immutability to increase digital resilience, we argue that it should be approached with trepidation.

In developing this paper, the authors conduct a systematic literature search using the Scopus database. Through this, we identified 931 relevant articles, of which 30 were used as the focus of this article. Thematic analysis was used as the analytical approach to develop themes and meaning from the data.

In this paper, there is an emphasis on the importance of understanding the potential risks associated with SC implementation, as well as identifying appropriate strategies for mitigating any negative impact. In our findings, we puts forward three key themes, namely legality, security and human error, which we argue are key smart contract challenges that impact SME digital resilience.

In this paper, we propose the notion of “centralised control in decentralised solutions”. This comes from the research highlighting SC weaknesses in digital resilience for SMEs. We argue that there is a need for standards, regulations and legislation to address these issues, advocating, ironically, a centralised approach to decentralised technology.

This systematic literature review (SLR) seeks to thoroughly investigate and synthesize existing research primarily focused on the role and impact of livestreaming technologies in the events industry. The review aims to uncover key trends and strategies associated with the integration of livestreaming in several event settings, including conferences, concerts and virtual events.

Employing a systematic approach, this review involves a meticulous search of the Scopus database and relevant literature using a predefined search string. The search is tailored to capture studies that specifically address livestreaming, with a focus on events such as conferences, concerts and other public gatherings.

This SLR uncovers the findings related to various aspects of livestreaming at events. Key areas of interest include the strategies employed by event organizers, audience experiences, technical requirements, monetization models, social media integration and the suitability of livestreaming in different event categories. By synthesizing the findings from the selected studies, this review provides an integrated framework of how livestreaming technologies impact event management, engagement and overall audience satisfaction.

While striving for comprehensiveness, this SLR acknowledges potential limitations inherent in the available literature. Variability in research methodologies, publication biases and evolving technologies may introduce limitations. Additionally, the scope is limited to English-language publications within the specified subject areas. These limitations will be transparently discussed to guide future studies and promote the efficient utilization of livestreaming technologies in the events industry.

The originality of this SLR hinges on its thorough examination of the current state of knowledge on livestreaming technologies in events. The identification of trends and strategies will offer valuable insights for both scholars and practitioners, guiding future research directions and informing strategic decision-making in the dynamic field of event management.