AbstractPrevious research has employed social media index such as disaster-related ratio (DIRR) or damage-related ratio (DARR) and sentiment to estimate the damages during disasters. These studies ...mainly used predefined keywords to filter disaster- and damage-related social media data. However, many tweets containing predefined keywords (e.g., Hurricane Matthew) do not describe disaster events or their impacts. Meanwhile, previous sentiment analysis has not considered users’ tweet frequencies, which can bring in data bias. These studies also lacked a baseline to reflect disaster impacts on the public’s sentiment. Therefore, this research proposes to use supervised machine-learning approach to identify the damage-related social media data. It also analyzes users’ tweet frequencies and introduces the annual average sentiment as the baseline to calculate the normalized sentiment. Compared with previous research, the authors’ method has identified more damage-related tweets and demonstrated higher precision and recall. Correlation analysis is conducted between the social media index and the insurance claim data in Hurricane Matthew. The results show a strong and positive correlation between the DARR and claim data. A strong and negative correlation is found between sentiment and claim data. The adjusted R2 of the final regression model between damage and social media index demonstrates the feasibility of mining social media data for rapid damage assessment. The results can benefit crisis response managers in collecting real-time information and understanding timely situations during disasters.
Although interest in tiny and small house living continues to grow, proponents of downsized living face a myriad of challenges, from restrictive land use policy to current lending and finance ...practices. Through a comparative case study, this article examines the crafting of tiny house policy in Asheville, North Carolina, and Horry County, South Carolina. The analysis has resulted in a better understanding of driving factors behind tiny house integration measures, challenges to accommodating tiny and small homes, stakeholder concerns, and best practices. The findings may aid planners and policy makers interested in accommodating tiny and small home infill.
Full text
Available for:
NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
Cognitive behavioral therapy for Avoidant Restrictive Food Intake Disorder (ARFID; CBT-AR) is an emerging treatment for ARFID. However, this treatment modality has yet to be examined among older ...adults (e.g., older than 50 years) or with adults presenting with feeding tubes. To inform future versions of CBT-AR, we present the results of a singular case study (G) of an older male with the sensory sensitivity phenotype of ARFID who presented for treatment with a gastrostomy tube.
G was a 71-year-old male who completed eight sessions of CBT-AR in a doctoral training clinic. ARFID symptom severity and comorbid eating pathology changes were examined pre- and post-treatment.
Posttreatment, G reported significant decreases in ARFID symptom severity and no longer met diagnostic criteria for ARFID. Furthermore, throughout treatment, G reported significant increases in his oral food consumption (vs. calories being pushed through the feeding tube), solid food consumption, and the feeding tube was ultimately removed.
This study provides proof of concept that CBT-AR is potentially effective for older adults and/or those presenting for treatment with feeding tubes. Validation of patient efforts and severity of ARFID symptoms emerged as core to treatment success and should be emphasized when training clinicians in CBT-AR.
Cognitive behavior therapy for ARFID (CBT-AR) is the leading treatment for this disorder; however, it has yet to be tested among older adults or those with feeding tubes. This single-patient case study demonstrates that CBT-AR may be efficacious in reducing ARFID symptom severity among older adults with a feeding tube.
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
PurposeA shared cognitive schema is the fundamental source of tacit understanding within a team. This study aims to address how such a shared cognitive schema emerges and evolves in an ...interdisciplinary research team.Design/methodology/approachThis study uses an exploratory single case study to analyze the emergence and evolution of a shared cognitive schema in an interdisciplinary research team systematically. The authors spent more than two years collecting data from the IAM team via semistructured interviews, archival data and observation. Subsequently, a framework for the resulting mechanism model was developed by analyzing the data using a three-step process.FindingsThis study shows that as the interdisciplinary research team develops, the shared cognitive schema passes through three stages: overlapping cognitive schema, complementary cognitive schema and synergetic cognitive schema. The mechanisms of overlap, complement and synergy play important roles. The convergent roles of partner-based recruiting, knowledge categorization and following the existing institution facilitate the overlapping of knowledge structures. Complementary cognitive schema sharing is facilitated by interdisciplinary member selection, knowledge stock expansion and the effects of accomplished mentors. The synergetic behaviors of group voice, interactive cognition and adaptive learning facilitate synergetic cognitive schema sharing.Originality/valueThis study is the first to discuss the emergence and evolution of a shared cognitive schema at the microlevel of knowledge structure and belief structure. It offers a new theoretical perspective on the development rules of scientific research teams and provides practical enlightenment regarding the establishment and operation of interdisciplinary research teams.
Changing digital technologies and innovation threaten established business models. Increasing uncertainty in the operating environment often drives the need to transform the core business model of ...firms through a process of digital business transformation (DBT). In this study, we conduct a longitudinal study of two digital startups in the crowdfunding domain and identify the core attributes driving such transformation in digital ventures. We build a framework that examines how DBT takes place in entrepreneurial firms through information exchange with the environment. This research will help entrepreneurs and managers of such firms design and develop reactive business models for market success.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Industry 4.0 (I4.0), also known as the fourth industrial revolution, describes the digitalization of manufacturing industries. The transition to I4.0 is crucial for manufacturing firms to sustain ...competitive advantage and seize new opportunities. Most research has focused on the technological aspects of I4.0 in the form of product and process innovations. Despite I4.0's rising attention from both researchers and practitioners, little research exists about I4.0 business model (BM) innovation, even though BM innovations can be more successful than product or process innovations. To address this research gap, we analyze 32 case studies of I4.0 BM innovators. We develop a taxonomy to characterize I4.0 BMs and derive 13 patterns of I4.0 BMs by applying the taxonomy to the case studies. Three super-patterns are identified: integration, servitization, and expertization. Integration innovates a BM with new processes and integrates parts of the supply chain. New combined products and services are the basis for servitization. Expertization is a hybrid of product- and process-focused BMs, which includes consulting services and multi-sided platforms. This study contributes to research with a framework for describing, analyzing, and classifying BMs for I4.0. The findings deepen the understanding of how I4.0 impacts ecosystem roles, BMs, and service systems. Archetypal patterns show how firms can leverage I4.0 concepts and build a conceptual basis for future research. The taxonomy supports practitioners in evaluating the I4.0-readiness of their existing BM. The patterns additionally illustrate opportunities for becoming an I4.0 firm.
•We extend the technically-driven Industry 4.0 research with business models.•We develop a taxonomy for describing, analyzing, and classifying business models.•13 archetypal patterns show how Industry 4.0 impacts business models.•Three areas of Industry 4.0 business models emerge:•Integrating parts of the value chain, servitization, and consulting or platforms.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
•The study focused on value capture processes in open innovation projects between firms and radical circles.•Qualitative analysis of collaborations activated by Slow Food, Memphis, and Free Software ...Foundation.•The data collection process lasts about six years, from 2014 until 2019 and relies on multiple sources.•A theoretical framing on the role of radical circles for value creation and capture processes was proposed.•After collaborating with radical circles, firms capture value through developing internal assets and new business models.
Despite the wealth of research on open innovation, the mechanisms that enable capturing value through adopting an open innovation approach remain largely unexplored. In this study, we focus on open innovation processes among firms and radical circles and shed light on the related value capture mechanisms. We rely on a detailed qualitative case analysis of collaborations between firms and three radical circles (i.e., Slow Food, Memphis, and the Free Software Foundation). Our case studies highlight that the firms captured value from collaborating with these radical circles through developing internal assets (reputational, organizational, intellectual and human, and technological) and new business models. Starting from these insights, the study offers several contributions to open innovation research as well as interesting avenues for future inquiry into this topic.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Physical literacy is a term and concept that has, in recent years, been gaining in both usage and popularity in many physical education (PE) contexts. However, discussion, writing, and understanding ...of physical literacy have been marked by uncertainty, confusion, or resistance. Since physical literacy can be found in several curricular documents and outcome statements, it would certainly be ideal for PE teachers to share a common understanding. This article reports on a qualitative case study in which 12 lead PE teachers from four Canadian provinces were interviewed, the purpose of which was to acquire knowledge about PE teachers' understanding of physical literacy. Results suggest that these leaders are largely unable to articulate conceptions of physical literacy that are in line with contemporary perspectives. In light of these findings, a discussion about these physical literacy (mis)understandings is also offered.
Based on the theory of the Cognitive Structure of the Emotions (OCC), this article has a dual objective: 1) to document negative attitudes toward mathematics generated during the academic formation ...of Manuel, an adult who ended his school education 15 years before this investigation and today is a professional voice-over actor; and 2) to analyze the reflection of those attitudes in the emotions that emerged during the process of solving mathematical problems related to his work. Manuel was chosen from among ten voice-over professionals who, before the study began, manifested a strong aversion toward mathematics. Manuel was interviewed twice: once before, and then after solving the mathematical problems posed. Results indicate that his negative attitude toward mathematics was reflected in the emotions — frustration, fear, anger, and nervousness — he experienced while solving the problems.
•There are factors that influence the intensity of people’s emotions.•The effects of teaching do not end with the last stage of the schooling process.•The aversion to mathematics generated during student years can endure over time.•A poor academic experience can cause emotional damage throughout lifetime.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
AbstractThe Noor III solar tower of the Ouarzazate Solar Power Station in Morocco is a very slender structure sensitive to wind excitations. Hence, tuned mass dampers (TMDs) were employed to reduce ...its wind-induced response. Finite-element modeling and wind-tunnel test results were employed to design the parameters of the TMD system. Four 10-t TMDs with eddy-current damping (EC-TMD) were selected for implementation (via a customized steel frame) at the top of the solar tower (i.e., inside the receiver). The effectiveness of the designed TMDs in controlling the tower was numerically studied under free vibration and forced vibration. Then, considering design and modeling errors and the possible need for on-site adjustments of EC-TMD parameters, pendulum-type EC-TMDs were fabricated. Dynamic properties of the tower were identified based on field measurements. With the installation and adjustment of the four designed EC-TMDs, the damping ratio of the Noor III solar tower was enhanced from 0.72% to 3.78%. Field measurements of tower vibrations under strong winds with/without participation of the EC-TMDs showed that significant mitigation of wind-induced response was effectively achieved by the TMDs with eddy-current damping. In addition, the on-site acceleration measured on the prototype tower was compared with the acceleration obtained for the scale model in a wind tunnel to highlight the significant Reynolds number effects on the prediction of the wind-induced response of the solar tower structure.
PDF
