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Due to the rapid growth of digital economy, improving employees’ creativity is becoming essential to optimizing the development of organizations. This study investigates how enterprise social media can enhance employee creativity and develops an integrated model based on communication visibility and social capital theories.

A two-stage questionnaire was conducted on full-time employees with enterprise social media experience. The first round of this study distributed 1,048 questionnaires and collected 639 valid sample data. A month later, the second survey was sent to the first valid respondents, with 421 valid sample data collected within a week.

Results show that visibility has a positive influence on employee creativity, in which expertise recognition and network recognition play a mediating role. The findings also indicate that bridging social capital positively moderates the effect of visibility on expertise recognition, and bonding social capital positively moderates the effect of visibility on network recognition.

This study contributes to a better understanding of the benefits of enterprise social media by uncovering the mechanism and theoretical boundary of the effect of visibility on employee creativity.

This paper discusses the effects of enabling conditions of project knowledge management in building volatile organizational memory. The theoretical rationale underlies a recursive relationship among enabling conditions of project knowledge management, organizational learning and memory.

This research employs a qualitative descriptive single case study approach to examine a mobile application development project undertaken by a major software company in Brazil. The analysis focuses on the project execution using an abductive analytical framework. The study data were collected through in-depth interviews and company documents.

Based on the research findings, the factors that facilitate behavior and strategy in managing project knowledge pose a challenge when it comes to fostering organizational learning. While both these factors play a role in organizational learning, the exchange of information from previous experience could be strengthened, and the feedback from the learning process could be improved. These shortcomings arise from emotional tensions that stem from power struggles within knowledge hierarchies.

Based on the research, it is recommended that project-structured organizations should prioritize an individual’s professional experience to promote organizational learning. Organizations with well-defined connections between their projects and strategies can better establish interconnections among knowledge creation, sharing and coding.

The primary contribution is to provide a comprehensive view that incorporates the conditions required to manage project knowledge, organizational learning and memory. The findings lead to four propositions that relate to volatile memory, intuitive knowledge, learning and knowledge encoding.

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.

In the era of digital intelligence, individuals are increasingly interacting with digital information in their daily lives and work, and a growing phenomenon known as digital hoarding is becoming more prevalent. Prior research suggests that humanities researchers have unique and longstanding information interaction and management practices in the digital scholarship context. This study therefore aims to understand how digital hoarding manifests in humanities researchers’ behavior, identify the influencing factors associated with it, and explore how they perceive and respond to digital hoarding behavior.

Qualitative research methods enable us to acquire a rich insight and nuanced understanding of digital hoarding practices. In this study, semi-structured interviews were conducted with 20 humanities researchers who were pre-screened for a high propensity for digital hoarding. Thematic analyses were then used to analyze the interview data.

Three main characteristics of digital hoarding were identified. Further, the research paradigm, digital affordance, and personality traits and habits, collectively influencing the emergence and development of digital hoarding behaviors, were examined. The subtle influence of traditional Chinese culture was encountered. Interestingly, this study found that humanists perceive digital hoarding as a positive expectation (associated with inspiration, aesthetic pursuit, and uncertainty avoidance). Meanwhile, humanists' problematic perception of this behavior is more widely observed — they experience what we conceptualize as an “expectation-perception” gap. Three specific information behaviors related to avoidance were identified as aggravating factors for digital hoarding.

The findings deepen the understanding of digital hoarding behaviors and personal information management among humanities researchers within the LIS field, and implications for humanities researchers, digital scholarship service providers, and digital tool developers are discussed.

This chapter provides a holistic understanding of memory and the tourism-memory nexus. This chapter begins with an overview of what memory is and the history of research on it. Following this, the chapter outlines key memory-related themes in cognitive psychology. Next, the implications of the tourism-memory nexus for research on memorable tourism experiences are discussed. It provides a critical analysis of the research which examines tourism and memory from the viewpoint of cognitive psychology. The chapter concludes with an outline of key avenues for further research in order to delve into tourism-memory nexus.

This study aims to develop a chain-mediated model to examine how streamer and product characteristics influence consumer behavior inertia (CBI) based on an extended cognitive-affective-conative (CAC) perspective.

This study used an online survey concerning the livestreaming activities of 250 experienced shoppers to measure the proposed model.

Streamer (product) attractiveness mediates the relationship between streamer (product) characteristics and shopping experience memory. Streamer (product) attractiveness and shopping experience memory have a chain mediating effect between the streamer (product) characteristics and CBI.

Theoretically, the study demonstrates the critical role of attractiveness and shopping experience memory in the formation of consumer inertia and complements current explanations of consumer continuance of buying through livestreaming. From a managerial standpoint, the findings provide guidelines for enterprises carrying out livestreaming business on how to improve inertia to realize a stable profit source.

Research on the impact of the engagement of online medical teams (OMTs) on patient evaluation, for example, satisfaction, remains insufficient. This study attempts to recognize the underlying mechanism of how OMTs’ engagement influences patient satisfaction by adopting social support as the mediator. This study also scrutinizes the moderating effects of the transactive memory system (TMS) on the link between OMTs’ engagement and social support.

We utilized a linear model that had fixed effects controlled at the team level for analysis. A bootstrapping approach using 5,000 samples was employed to test the mediation effect.

Our results reveal that OMTs’ engagement improves informational and emotional support, thereby promoting patient satisfaction. Specialization and credibility strengthen the impact of OMTs’ engagement on informational and emotional support. Simultaneously, coordination has an insignificant influence on the link between OMTs’ engagement and social support.

This study contributes to the literature on OMTs, social support, and TMS, providing insights into patients’ perceptions of OMTs’ engagement during online team consultation. This study also generates several implications for the practice of online health communities and OMTs.

Bridge deterioration is a critical risk to public safety, which mandates regular inspection and maintenance to ensure sustainable transport services. Many models have been developed to aid in understanding deterioration patterns and in planning maintenance actions and fund allocation. This study aims at developing a deep-learning model to predict the deterioration of concrete bridge decks.

Three long short-term memory (LSTM) models are formulated to predict the condition rating of bridge decks, namely vanilla LSTM (vLSTM), stacked LSTM (sLSTM), and convolutional neural networks combined with LSTM (CNN-LSTM). The models are developed by utilising the National Bridge Inventory (NBI) datasets spanning from 2001 to 2019 to predict the deck condition ratings in 2021.

Results reveal that all three models have accuracies of 90% and above, with mean squared errors (MSE) between 0.81 and 0.103. Moreover, CNN-LSTM has the best performance, achieving an accuracy of 93%, coefficient of correlation of 0.91, R2 value of 0.83, and MSE of 0.081.

The study used the NBI bridge inventory databases to develop the bridge deterioration models. Future studies can extend the model to other bridge databases and other applications in the construction industry.

This study provides a detailed and extensive data cleansing process to address the shortcomings in the NBI database. This research presents a framework for implementing artificial intelligence-based models to enhance maintenance planning and a guideline for utilising the NBI or other bridge inventory databases to develop accurate bridge deterioration models. Future studies can extend the model to other bridge databases and other applications in the construction industry.

The purpose of this study is to understand how faculty members perceive learning needs of the attention-deficit hyperactive disorder (ADHD) student, as they acclimated to and performed within the higher education settings.

A phenomenological design was used to explore the faculty perceptions of ADHD college students. A sample of ten faculty members, employed in two-year, four-year, and graduate-level programs, participated in virtual semi-structured interviews. A six step thematic analysis of the codes was performed revealing three themes.

Results from the study yielded three themes: problem-based learning, time management and accommodations versus privilege. These themes highlight the complexity of the learning process, the limitations with time management, and the need for meaningful, rather than stereotypical, accommodations in these settings.

The number of students diagnosed with ADHD attending postsecondary education continues to rise, necessitating a critical lens on increasing neurodiversity-affirming practices in these settings. Despite noted strengths, students with this diagnosis struggle academically, resulting in academic challenges. To maximize each individual’s learning potential, systems of higher education need to carefully consider how to best design a positive learning environment with universally effective learning accommodations.

While faculty described accommodations and strategies provided to students, they also repeatedly shared concerning challenges and barriers to learning, as demonstrated by their students in various scenarios and situations. Results suggest areas of potential improvement, alongside the complexity of serving the need of the next generation of neurodivergent learners, in a world where equity and inclusion required additional time and thoughtful effort. Of greatest concern, perhaps, was the systems already in place, including offices of accommodations and services, that tended to use a “one-size-fits-all” approach, oversimplifying, rather than serving, student need.