Community Innovation Research Articles

O.12.4 - Innovative Communication Skills Training for First and Second Year Medical Students: Presenter(s): Yvonne Finn, National University of Ireland Galway, Ireland

O.12.4 - Innovative Communication Skills Training for First and Second Year Medical Students: Presenter(s): Yvonne Finn, National University of Ireland Galway, Ireland

Where are your ideas going? Idea adoption in online user innovation communities

PurposeWith the proliferation of ideas submitted by users in firm-built online user innovation communities, community managers are faced with the problem of user idea overload. The purpose of this paper is to explore the influencing factors on the idea adoption to identify high quality ideas, and then propose a method to quickly filter high value ideas.Design/methodology/approachThe authors collected more than 110,000 data submitted by Xiaomi community users and analyzed the factors affecting idea adoption using a multinomial logistic regression model. In addition, the authors also used BP neural network to predict the idea adoption process.FindingsThe empirical results show that idea semantics, number of likes, number of comments, number of related posts, the existence of pictures and self-presentation have positive impact on idea adoption, while idea length and idea timeliness had negative impact on idea adoption. In addition, this paper calculates the idea evaluation value through the idea adoption process predicted by neural network and the mean value of idea term frequency inverse document frequency (TF-IDF).Originality/valueThis empirical study expands the theoretical perspective of idea adoption research by using dual-process theory and enriches the research methods in the field of idea adoption research through the multinomial logistic regression method. Based on our findings, firms can quickly identify valuable ideas and effectively alleviate the information overload problem of online user innovation communities.

Lithium-ion battery state of charge prediction based on machine learning approach

With the extensive utilization of lithium ion batteries as renewable energy source in electronics devices, smart network and electric vehicles, supplementary enhancements in the performance of lithium-ion batteries and accurate prediction of state of charge (SOC) are still a great challenge to battery research and innovation community. Machine learning (ML), which is one of the essential tools of artificial intelligence, is promptly changing many areas with its capability to learn from provided data and solve multifaceted tasks, and it has emerged as a new method used to solve research issues in the area of lithium ion batteries. In this paper, we investigate the relationship between input factors including current, voltage and temperature, and predicted SOC of lithium ion battery. The effectiveness of three ML models — linear regression, Gaussian process regression (GPR) and support vector machine (SVM) were assessed and compared. It was found that the predictions made by these models accurately matched the data from experiments.

Community-Driven Conversations: Partnership Building through CHEC-Ins.

Chicago's systemically underserved communities have disproportionately high cancer rates. The Chicago Cancer Health Equity Collaborative (ChicagoCHEC) brings together academic and community partners to address these health inequities. The community conversations known as "CHEC-Ins" provide a space for community members to voice their experiences and needs and for ChicagoCHEC to fulfill its commitment to advancing health equity through collaboration and action. This paper presents a community-generated approach to social networking about cancer health issues known as CHEC-Ins. Through this innovative approach, community members and organizations share cancer related information and experiences, as well as needs and concerns, which are then channeled to ChicagoCHEC academic and administrative members who incorporate them into outreach and research activities. In this way, community members set the agenda and the process and collect the information they deem relevant and important. This paper describes the process of organizing and conducting two pilot CHEC-Ins and the model of this approach, which we intend to employ moving forward to advance partnership building and collaborative research practice between academic institutions and community partners and organizations. This paper contributes a unique model of community-generated and led outreach as a cornerstone of the ChicagoCHEC approach to community engagement. The leaders of the ChicagoCHEC Community Steering Committee spearheaded the design and implementation of CHEC-Ins, including developing the question guide and hosting events within their organizations. CHEC-Ins proved to be a valuable strategy for defining the role of community partners and establishing the basis for a bi-directional flow of information, resources, and productive action. The two pilot CHEC-Ins revealed important insights related to sources of cancer information, meanings and associated attitudes, barriers to access and use of health services, and social support systems in the communities where ChicagoCHEC works. We will implement this approach and continue to refine it as we conduct CHECIns moving forward.

Trauma-Informed Learning Community (TLC) for Educational Professionals

This paper seeks to provide a process for developing a trauma-informed faculty and staff learning community using Lenning et al. (2013) adapted, 4-part Learning Community Planning Framework (LCPF) as a foundation for implementing Imad’s (2021) trauma-informed education framework. This innovative and collaborative trauma-informed learning community aims to disrupt an overburdened educational system for faculty and staff, guided by a trauma-based pedagogy and a collaborative structure for discretionary caring of emotional, mental, and professional needs (Gaard & Ergüner-Tekinalp, 2022). The goal of this paper is to introduce how the four phases of the LCPF leverage the trauma-informed education framework as a collaborative strategy that can be modeled across university campuses to develop their very own faculty and staff led, trauma-informed learning community; which this paper is calling the TLC for Educational Professionals.

Mentorship and Scientific Writing

Mentorship and Scientific Writing

Mentorship and Scientific Writing

Mentorship and Scientific Writing

Empirical Evidence of Idea Generation in Open Innovation Community

Organizations need to develop effective engagement strategies to engage individuals to contribute and sustain their involvement with innovative ideas. We investigate how feedback can encourage and promote more ideas by considering the source and valence of in-process feedback, user characteristics, and the moderating effect of the aforementioned variables. Our model is tested using a panel linear model and data from the MIUI Forum. We discovered that individuals who received unfavorable peer evaluation reduced subsequent idea generation, with the effect lessening as ideators gained success experience. Whereas receiving positive peer feedback cannot stimulate users' ideation. Experienced contributors are more motivated (less demotivated) to come up with ideas after receiving positive feedback (negative feedback) from firms. We complement extant research related to feedback by investigating its synergetic effects on ideation and exploring which feedback is more important and their boundary conditions.

Exploring staff perspectives on caring for isolated hospitalised patients during the COVID-19 pandemic: a qualitative study

BackgroundStrict isolation of COVID-19 patients to prevent cross infection may inadvertently cause serious adverse outcomes including psychological harm, limitations to care, increased incidence of delirium, deconditioning and reduced quality of life. Previous research exploring the staff perspective of the effect of isolation on patients is limited. The aim of this study is to understand staff perceptions and interpretations of their experiences of the care and treatment of isolated patients and the impact of isolation on patients, families, and staff.MethodThis qualitative, exploratory study is set in a major metropolitan, quaternary hospital in Melbourne, Australia. Data was collected in focus groups with clinical and non-clinical staff and analysed using content analysis. The hospital ethics committee granted approval. Each participant gave informed verbal consent.ResultsParticipants included 58 nursing, medical, allied health, and non-clinical staff. Six main themes were identified: 1) Communication challenges during COVID-19; 2) Impact of isolation on family; 3) Challenges to patients’ health and safety; 4) Impact on staff; 5) Challenging standards of care; 6) Contextual influences: policy, decision-makers and the environment.ConclusionIsolating patients and restricting visitors resulted in good pandemic management, but staff perceived it came at considerable cost to staff and consumers. Innovative communication technology may facilitate improved connection between all parties. Mental health support is needed for patients, families, and staff. Further research using a co-design model with input from patients, families and staff is recommended to determine appropriate interventions to improve care.Preventing the spread of infection is essential for good pandemic management, but the cost to consumers and staff must be mitigated. Preparation for future pandemics must consider workforce preparedness, adapted models of care and workflow.

Multi-frequency amplitude-programmable metasurface for multi-channel electromagnetic controls

Abstract The digital and programmable metasurfaces, as opposed to conventional metasurfaces, offer a more sophisticated method of collaborating information and physics, showcasing several real-time controls to electromagnetic (EM) ways in succinct ways. In this work, we propose a multi-frequency amplitude-programmable (MFAP) metasurface with multiple frequency channels to enhance the presentation and manipulation of EM data. With this metasurface, the reflected amplitudes can be simultaneously and independently encoded between high (digit “1”) and low (digit “0”) levels. The amplitude code is unique, which exhibits both reflection coefficients and radiation patterns to allow for flexible multi-functional EM operations with frequency. For instance, the MFAP metasurface can be used to design innovative communication systems by transmitting various EM signals individually across the channels in time domain. It is also possible to carry out multi-bit transmissions by mixing these frequency channels. By introducing complex coding patterns in space domain, it is possible to manipulate EM powers with greater precision. A square-split ring meta-atom that can achieve stable single-frequency amplitude control and multi-frequency 1 bit amplitude-programmable features is described as a proof-of-concept. Varactors loaded on metallic structures of various sizes are switched between operating states to modify the amplitude codes at each frequency channel. The suggested MFAP metasurface’s validity is confirmed by simulations and measurements from a dual-channel MFAP metasurface prototype.

The differential effect of learning from others on creative performance over individual tenure: empirical evidence from open innovation communities

PurposeThis study aims to explore how and when learning from others promotes creative performance over the contributor’s tenure in the context of open innovation communities.Design/methodology/approachThe authors analyze a publicly available data set that includes 25,923 innovative items developed by 2,194 contributors from an open innovation community of an online game spanning eight years. Logistic regression model is used for analyzing the data.FindingsThe results show that multicultural experiences are negatively related to contributor’s creative performance, and this negative relationship weakens as contributor’s tenure increases. While diverse skills are positively related to contributor’s creative performance, and this positive relationship strengthens as contributor’s tenure increases.Originality/valueThis research highlights the importance of online team collaboration in knowledge transfer through learning from others in open innovation communities. By identifying two outcomes of learning from others through online team collaboration, the authors demonstrate the double-edged role of learning from others and advance the understanding on how the effect of learning from others varies over the contributor’s tenure. These results expand the understanding of online team collaboration and provide a new perspective for research on learning from others.

Cross-disciplinary meaning and language for innovation in a business context: A conceptual paper

In this conceptual work, we describe cross-disciplinary meaning and language related to the innovation phenomenon located in a business context. Our work attempts to find common meaning and language for innovation that can be applied across all business innovation projects irrespective of the business discipline, and to synthesize these common terms into an innovation communication and planning tool. The objective of providing a common meaning and language for innovation is to give practitioners, researchers, and stakeholders a shared communication platform, and common language and meaning that assist incumbents to discuss and collaborate during innovation projects without the boundaries created by siloed, nuanced, and discipline-specific understandings. The outcome of the paper is a conceptual framework and canvas tool constructed from universal meaning and language for business innovation with the aim of providing a set of common questions that business practitioners could ask during times of innovation. Furthermore, the Business Innovation Canvas provides new directions for future study and the development of tools that take advantage of common meaning and language to aid innovation practitioners and researchers.

Innovational Communication Strategy for Sustainable Farming Fisheries Development Bogor District

Identify the frequency, direction, content, communication channels, characteristics and stages of adoption of innovations for cultivators and development of sustainable aquaculture in Bogor Regency and analyze the effect of frequency, direction, content, communication channels on the stages of adoption of innovations for catfish enlargement cultivators in Bogor Regency. This study uses a pragmatic paradigm with a mixed approach or method because the innovation communication strategy for the development of sustainable aquaculture is not enough to answer only by measuring the influence between variables in a post-positivist manner, but needs to be traced through the process of communication of innovation between cultivators as actors. Data collected based on data sources consist of primary data and secondary data. Primary data is data obtained directly from respondents at the time the research was conducted, while secondary data is supporting data that is already available at the research location obtained from the Livestock and Fisheries Service of Bogor Regency, data available to extension workers and data available to extension workers. catfish rearing group. Research Results Based on the test results related to whether or not the influence of the independent variable on the dependent variable can be seen based on t count and significant value. From the table above, the ttable value is 13.843 > 2.042 (ttable obtained by finding df and looking at ttable, df = number of correspondents - 2 and a significance value of 0.00 <0.05. Based on these measurements, the R value is obtained at 0.930, and after interpretation it is known that there is a very high relationship between the variables x and y.The R Square test (R2) is used to determine how much influence the value of the regression coefficient (R) states there is a correlation between the independent and dependent variables.

Collaborative design approach to identify research and innovation needs within the European smart building community

Background Upgrading the level of smartness in buildings can significantly contribute to improve our quality and sustainability of living, through increased energy efficiency, optimised resource management, and improved air quality and comfort. However, the fragmented nature of the sector makes it challenging to identify what is technically, socially and economically achieved today in Europe in terms of building smartness, and what should be developed and financially supported tomorrow to accelerate the roll-out of smart and energy efficient buildings. Methods This paper introduces the collaborative process developed to involve a large community of experts in detecting and formalising research and innovation gaps related to smart buildings. This process is composed of four successive steps: 1) a communication phase to invite volunteer experts to join the proposed task forces; 2) The organisation and facilitation of online brainstorming workshops to identify research & innovation (R&I) gaps; 3) the collective drafting of a white paper synthesising the brainstorming outcomes; and 4) an open consultation to collect additional external feedback before finalising the white paper. Results The collaborative process developed was tested over 18 months and implemented on 12 different topics relying on 27 brainstorming workshops. Building on the collective knowledge of 135 participants, it enabled identification a significant series of R&I gaps related to smart buildings. Conclusions The collective sessions as well as the open consultation phases showed overall some clear convergence on the gaps identified. It can therefore be concluded the outcome of the collaborative process reached a consensus among the targeted innovation community. The feedback collected on the process, shows that the frequency, duration and attendance of the brainstorming workshops proposed were very relevant, while the selection of online participatory tools could still be improved. This process could be replicated in other frameworks where research and innovation gaps are sought for.

Situated learning, communities of practice and pedagogical innovation

Abstract This article reflects on situated learning as a result of interactions between learners and contexts. It starts from the concept of community and its relationship with the learning processes. The article defines community of practice and recognizes the social and situated nature of cognition. It recognizes that knowledge materializes in the form of situated experiences and not just in mental contexts. It addresses the study of students' learning, the type of participation in school activity and in the social contexts of intervention. It identifies pedagogical innovation in a disruptive perspective, which foresees profound changes in the traditional pedagogical relationship that understands the subject as co-builder of his knowledge.

Key Actors’ Perspectives on Agroforestry’s Potential in North Eastern Germany

As a land use management system, agroforestry has environmental, economic and societal benefits over conventional agriculture or forestry. Important benefits of combining tree growth with agricultural crops and/or forage production systems include higher biodiversity through more diverse habitats, the control of runoff and soil erosion, the augmentation of soil water availability, the creation of microclimates, carbon sequestration and provision of a more diverse farm economy. As the climate changes, north eastern Germany is likely to be particularly prone to severe effects from droughts and wind erosion in the future. However, the area of land under agroforestry makes up less than 2% of the total agricultural area in Germany. Through qualitative interviews with key actors, this study analyzed the benefits of, potentials for and barriers to implementing agroforestry systems in the federal state of Brandenburg. Results showed that agroforestry systems have significant potential in relation to several benefits, particularly the mitigation of soil erosion and stabilization of microclimate regimes. Additionally, agroforestry has the potential to provide wood for energy production or material uses. Although a small but highly innovative and interlinked community exists, administrative barriers and high start-up costs currently hamper the transition from conventional agriculture to agroforestry systems.

Harnessing innovation approaches to support community and belonging in Higher Education

ABSTRACT The COVID-19 Pandemic has ushered in significant challenges for supporting community and belonging in Higher Educational Institutions (HEIs). This paper seeks to provide key recommendations to strengthen such activity, through a critical evaluation of a set of innovative community and belonging enhancement projects undertaken in a modern Scottish University. In doing so, the paper adds deeper understanding of how community and belonging are conceptualised and facilitated within HEIs. The evaluation was qualitative in nature and involved interviews with 13 staff members and students who were leading enhancement initiatives in the institution. Through an exploration of what shaped staff and students’ understandings and experiences in relation to community and belonging, several important themes emerged that are of value across the sector. These findings include a new framework of ‘authentic belonging’, the effectiveness of student ownership, and the current context of restricted opportunities for belonging enhancement.

CRITIC-TOPSIS-Based Evaluation of Smart Community Safety: A Case Study of Shenzhen, China

As a micro-unit of the smart city, smart communities have transformed residents’ lives into a world that connects physical objects. Simultaneously, though, they have brought community safety problems. Most studies of the smart community have only focused on technical aspects, and little attention has been paid to community safety. Thus, this paper aims to develop an evaluation system for smart community safety, which will further promote community safety development. On the basis of identifying evaluation indicators, an evaluation framework was built to assess the level of smart community safety by a comprehensive CRITIC-TOPSIS method. Five smart communities in Shenzhen city were selected as cases to validate the feasibility of the evaluation framework. There was an indication that the indicator with the highest weight was the ‘building monitoring’, and the indicator with the lowest weight was the ‘emergency shelter guidelines’. In addition, the Yucun community showed the highest safety level among these five smart communities. Some suggestions for enhancing the safety level of the smart community are proposed, such as strengthening the training of community safety management talents, establishing good emergency protective measures, and encouraging residents to participate in the development of community safety. This research not only provides an innovative community safety assessment method; it also enriches the knowledge of smart community safety.

Leadership Styles and Innovation Management: What Is the Role of Human Capital?

Leadership styles and human capital are important drivers of innovation processes. The way the leader interacts with the organization members can pre-empt or leverage innovation processes as leaders influence, empower and motivate other individuals in the achievement of their goals. Human capital is an important driver of innovation and competitiveness, as it will shape the uniqueness of the company as well as the process to obtain skills, capabilities, knowledge and expertise. As such, the main objectives of the paper are to analyze the impact of leadership styles on the innovation process and also to address the moderation effect of the human capital on the previous relation. Four leadership styles—autocratic, transactional, democratic, and transformational—were considered to measure their impacts on the innovation process, considering the alternative types of innovations. The 2018 Community Innovation Survey (CIS) database was used, encompassing Portuguese data, covering the 2016–2018 period, with a sample of 13702 firms. In regard to the empirical part, first, an exploratory analysis was run to better understand the connection between the leadership styles and the innovative strategies followed by an econometric estimation encompassing 28 logit models to disentangle the specific impacts of each leader on each innovation type. Evidence proves that autocratic and transactional leadership styles have a negative impact on innovation and transformational and democratic leadership impact innovation positively. Furthermore, human capital was found to moderate the relationship between leadership styles and the innovation process; i.e., under the same leadership style, the presence of additional skills leverages innovative propensity. The paper brings relevant insights for both managers and policymakers, highlighting that innovation will be accelerated if firms implement more participatory (democratic and transformational) leadership styles and also if they invest in competences to promote knowledge internalization and share. All in all, participatory leadership combined with the internal skills is proved to be an efficient combination for innovation to take place; as such, policy instruments must promote the coexistence of these two factors.

Tourism destinations and tourist behavior based on community interaction models of film-enabled tourism destinations.

The importance of media-induced tourism has increased in the latest decade. The integration and collaboration of film elements is an especially effective pathway for the innovative development and upgrading of the experience of the cultural tourism industry. Existing studies on the mechanism of tourism destinations and cultural tourism development, mainly from the perspective of tourism destinations and tourist experience, have rarely explored the cultural tourism development mechanism from the perspective of interest-related community interaction in the film-enabling context. In this study, we conducted high-frequency word analysis and element category analysis of the online text data of the Japanese animation film Your Name from the angle of interest-related community interaction through utilizing online text analysis and Grounded Theory analysis. Based on the interest-related community interaction, we analyzed the elements of interest-related community interaction in cultural tourism triggered by the film, including tourist hotspots, tourism resources, the tourist experience, sightseeing expectations, tourism evaluation and information dissemination, and formulated the orientation pathway of film-enabling cultural tourism. In this study, we aimed to enrich cultural tourism research and provide a reference point and theoretical support for film-enabling cultural tourism in the Internet era by introducing the concept of interest-related community innovation to the scene of film-enabling cultural tourism.