Aim/Purpose: This study investigates the relationship between dual network embedding, dual entrepreneurial bricolage, and knowledge-creation performance. Background: The importance of new ventures for innovation and economic growth has been fully endorsed. Establishing incubation organizations to help new startups overcome constraints and dilemmas has become the consensus of various countries. In particular, the number of Chinese makerspaces has rapidly increased. Startups in the makerspaces form a loosely coupled dual network to cooperate and share resources, especially knowledge. Methodology: By convenience sampling, 400 startups in the makerspaces in Fujian Province, China were selected for the questionnaire survey study. In total, 307 valid responses were collected, yielding a response rate of 76.8%. The survey data were analyzed for hypothesis testing, using the PL-SEM technique with the AMOS20.0 software. Contribution: At the theoretical level, this research supplements the exploration of the influencing factors of the entrepreneurial bricolage of startups at the network level. It deepens the research on the internal mechanism of the dual network embeddedness affecting the knowledge-creation performance. In practice, it provides a theoretical basis and management inspiration for startups in makerspaces to overcome the inherent disadvantage of being too small and weak to explore innovative paths. Findings: First, relational embedding of startups in makerspaces directly affects knowledge-creation performance. Second, dual entrepreneurial bricolage plays a mediating role in diversity. Selective entrepreneurial bricolage plays a partial mediating role between relationship embedding and knowledge-creation performance. Parallel entrepreneurial bricolage plays a complete intermediary role between structural embedding and knowledge-creation performance. Dual entrepreneurial bricolage plays a complete intermediary role between knowledge embedding and knowledge-creation performance. Recommendations for Practitioners: Enterprises in the makerspaces should make dynamic adjustments to the network embedded state and dual entrepreneurial bricolage to improve knowledge-creation performance. When startups conduct selective entrepreneurship bricolage, they should strengthen relational and knowledge embeddedness to improve their relationship strength and tacit knowledge acquisition. When startups conduct parallel entrepreneurship bricolage, structural and knowledge embedding should be strengthened to improve the position of enterprises in the network to acquire diversified knowledge to explore and discover new business opportunities and project resources. Recommendation for Researchers: The heterogeneity of industries and regions may impact the dual network embedding mechanism of startups. Researchers can choose a wider range of regions and industries for sampling. Impact on Society: This study provides a theoretical basis and management inspiration for startups to overcome the inherent disadvantage of being too small and weak to explore innovative paths. It provides a basis to support startups in unleashing innovation vitality and achieving healthy growth. Future Research: Previous studies have shown that network relationships and bricolage behavior have a certain relationship with the enterprise life cycle. Future research can adopt a longitudinal research design across time points, which will increase the explanatory power of research conclusions.

Aim/Purpose: This research utilized a learn-to-rank algorithm to provide medical recommendations to prescribers. The algorithm has been utilized in other domains, such as information retrieval and recommender systems. Background: Ranking the possible medical treatments according to diagnoses of the medical cases is very beneficial for doctors, especially during the coding process. Methodology: We developed two deep learning pointwise learn-to-rank models within one prediction pipeline: one for predicting the top possible active ingredients from disease features, the other for ranking actual medicines codes from diseases and the ingredients features. Contribution: A new learn-to-rank deep learning model has been developed to rank medical procedures based on datasets collected from insurance companies. Findings: We ran 18 cross-validation trials on a confidential dataset from an insurance company. We obtained an average normalized discounted cumulative gain (NDCG@8) of 74% with a 5% standard deviation as a result of all 18 experiments. Our approach outperformed a known approach used in the information retrieval domain in which data is represented in LibSVM format. Then, we ran the same trials using three learn-to-rank models – pointwise, pairwise, and listwise – which yielded average NDCG@8 of 71%, 72%, and 72%, respectively. Recommendations for Practitioners: The proposed model provides an insightful approach to helping to manage the patient’s treatment process. Recommendation for Researchers: This research lays the groundwork for exploring various applications of data science techniques and machine learning algorithms in the medical field. Future studies should focus on the significant potential of learn-to-rank algorithms across different medical domains, including their use in cost-effectiveness models. Emphasizing these algorithms could enhance decision-making processes and optimize resource allocation in healthcare settings. Impact on Society: This will help insurance companies and end users reduce the cost associated with patient treatment. It also helps doctors to choose the best procedure and medicines for their patients. Future Research: Future research is required to investigate the impact of medicine data at a granular level.

In the context of asthma severity prediction, this study delves into the feature importance of various symptoms and demographic attributes. Leveraging a comprehensive dataset encompassing symptom occurrences across varying severity levels, this investigation employs visualisation techniques, such as stacked bar plots, to illustrate the distribution of symptomatology within different severity categories. Additionally, correlation coefficient analysis is applied to quantify the relationships between individual attributes and severity levels. Moreover, the study harnesses the power of random forest and the Gini importance methodology, essential tools in feature importance analytics, to discern the most influential predictors in asthma severity prediction. The experimental results bring to light compelling associations between certain symptoms, notably 'runny-nose' and 'nasal-congestion', and specific severity levels, elucidating their potential significance as pivotal predictive indicators. Conversely, demographic factors, encompassing age groups and gender, exhibit comparatively weaker correlations with symptomatology. These findings underscore the pivotal role of individual symptoms in characterising asthma severity, reinforcing the potential for feature importance analysis to enhance predictive models in the realm of asthma management and bioinformatics.

The proposed work aims to discover the international technology competition and development of human-artificial intelligence (AI) collaboration on content creation in the film and animation industries to support the strategic planning, decision-making of R&D, and soft innovation. The study demonstrates a hybrid approach that combines technology life cycle (TLC) and latent Dirichlet allocation (LDA) topic modelling. We analyse 1,982 patents of AI collaborating on creating film and animation in the primary patent application countries (i.e., patents applied to the intellectual property offices of the USA, China, Korea, Japan, and European Patent Office, EPO) from 2010 to 2020. The TLC results show growing trends in the international technology competition. The major topic trends corresponding to TLC phases denote strong potential or future stagnation signals in different countries. The study provides the future R&D signals and suggests stimulating soft innovation with human-AI collaboration to face growing competition.

Creative computing is one of the rapidly growing educational trends around the world. Previous studies have shown that creative computing can empower disadvantaged children and youth. At-risk youth tend to hold a negative view of self and perceive their abilities as inferior compared to “normative” pupils. The Implicit Theories of Intelligence approach (ITI; Dweck, 1999, 2008) suggests a way of changing beliefs regarding one’s abilities. This paper reports findings from an experiment that explores the impact of a short intervention among at-risk youth and “normative” high-school students on (1) changing ITI from being perceived as fixed (entity view of intelligence) to more flexible (incremental view of intelligence) and (2) the quality of digital self-representations programmed though a creative computing app. The participants were 117 Israeli youth aged 14-17, half of whom were at-risk youth. The participants were randomly assigned to the experimental and control conditions. The experimental group watched a video of a lecture regarding brain plasticity that emphasized flexibility and the potential of human intelligence to be cultivated. The control group watched a neutral lecture about brain-functioning and creativity. Following the intervention, all of the participants watched screencasts of basic training for the Scratch programming app, designed artifacts that digitally represented themselves five years later and reported their ITI. The results showed more incremental ITI in the experimental group compared to the control group and among normative students compared to at-risk youth. In contrast to the research hypothesis, the Scratch projects of the at-risk youth, especially in the experimental condition, were rated by neutral judges as being more creative, more aesthetically designed, and more clearly conveying their message. The results suggest that creative computing combined with the ITI intervention is a way of developing creativity, especially among at-risk youth. Increasing the number of youths who hold incremental views of intelligence and developing computational thinking may contribute to their empowerment and well-being, improve learning and promote creativity.

This study examined the phenomenon of academic dishonesty among university students. It was based on Pavela’s (1997) framework of types of academic dishonesty (cheating, plagiarism, fabrication, and facilitation) and distinguished between digital and “traditional”- analog dishonesty. The study analyzed cases of academic dishonesty offenses committed by students, as well as the reasons for academic dishonesty behaviors, and the severity of penalties for violations of academic integrity. The motivational framework for committing an act of academic dishonesty (Murdock & Anderman, 2006) and the Self-Concept Maintenance model (Mazar, Amir, & Ariely, 2008) were employed to analyze the reasons for students’ dishonest behaviors. We analyzed 315 protocols of the Disciplinary Committee, at The Open University of Israel, from 2012-2013 that represent all of the offenses examined by the Committee during one and a half years. The findings showed that analog dishonesty was more prevalent than digital dishonesty. According to the students, the most prevalent reason for their academic dishonesty was the need to maintain a positive view of self as an honest person despite violating ethical codes. Interestingly, penalties for analog dishonesty were found to be more severe than those imposed for digital dishonesty. Surprisingly, women were penalized more severely than men, despite no significant gender differences in dishonesty types or in any other parameter explored in the study. Findings of this study shed light on the scope and roots of academic dishonesty and may assist institutions in coping effectively with this phenomenon.

The main aim of this paper is to provide a theoretically and empirically grounded discussion on IT-based organizational creativity support. This study attempts to answer the following questions: (1) what is the issue of organizational creativity and its IT-based support, (2) what is the demand for IT –based organizational creativity support; (3) what are the main determinants and barriers to IT-based organizational creativity support; and (4) what success factors are crucial for IT-based organizational creativity support. This paper presents the analysis results of a survey conducted in 25 selected organizations. The paper provides valuable information on the possibilities of IT applications in organizational creativity support as well as the associated success factors. It makes useful contribution to our better understanding of IT-based organizational creativity support issues.

Aim/Purpose: To understand the process of social change creation in social entrepreneurial ventures (SEVs), specifically emphasizing the role and nature of the communicative process in social change creation. Background: Drawing on data from seven SEVs from India and the US and employing a grounded theory methodology, this research scrutinizes the social change process and uncovers the role and characteristics of dialogue in this process. Methodology: Qualitative data was collected from seven social entrepreneurial organizations over a period of eight months from July 2011 to February 2012. Semi-structured interviews were conducted with a wide range of members within these social entrepreneurial organizations (n=27) with additional informal interviews with field workers and volunteers. Data from the semi-structured interviews and notes from observations were integrated with analyses of archival resources. Contribution: There is little scholarship about the process of social change creation and the necessary conditions to promote social change over time. Understanding the process of social change creation and the individual, interpersonal, and organizational conditions that facilitate the process is central to design of effective trans-sector TD problem solving ventures. This paper focuses on the process of social change creation in social entrepreneurial settings, specifically emphasizing the role and nature of the communicative process in social change creation. Findings: The reflections and experiences of the members of SEVs revealed that social entrepreneurship is a collective endeavor and this collective character is essential to its success. Collective organization and synergy, deep intra-organizational communication, and a conducive organizational context are critical for the creation of collective wisdom and knowledge networks for long-term collaborative community capacity building. Dialogue emerged as a central category linking the other categories to explain the process of social change creation. Organic organizational structure enables knowledge creation and integration through the process of organizational learning through deep and continuous social interaction, or dialogue. Recommendations for Practitioners: This research elucidated the key characteristics of the organizational context required to support the creation of social change. It also identified the critical role and characteristics of the communicative process required to generate structural knowledge and collective wisdom at the organizational level. Recommendation for Researchers: For individual and organizational learning, trans-sector transdisciplinary organizations require an appropriate organizational context. Key elements of such an organizational context include (1) understanding the ecology of the social problem; (2) organic organizational structure; (3) continuous and deep social interaction among all levels of the organization; (4) employee and community autonomy and empowerment; and (5) attention to subtle environmental changes in the system. These elements in combination lead to the creation of collective wisdom. Collective wisdom then feeds back into the conception, planning, and action stages of the iterative cycle of organizational knowledge creation to create positive social change. Impact on Society: Same as above Future Research: Future research model theoretically and study empirically the ecology of social entrepreneurship and trans-sector TD problem solving more broadly. For example, the ways in the personal attributes of social entrepreneurs (e.g., their leadership style, networking abilities) combine with circumstances at organizational, institutional, and international levels to influence the effectiveness of their efforts to promote positive social change within local and global communities. Second, the grounded theoretical framework developed here should be further refined and elaborated through the identification of additional key contextual factors that affect SEVs’ capacity to promote positive social change and to achieve sustainability in different socio-environmental contexts. There is also a need to translate the findings from this research to facilitate the creation of more inclusive problem solving contexts and practices.

Aim/Purpose: The aim of this paper is to propose an ensemble learners based classification model for classification clickbaits from genuine article headlines. Background: Clickbaits are online articles with deliberately designed misleading titles for luring more and more readers to open the intended web page. Clickbaits are used to tempted visitors to click on a particular link either to monetize the landing page or to spread the false news for sensationalization. The presence of clickbaits on any news aggregator portal may lead to an unpleasant experience for readers. Therefore, it is essential to distinguish clickbaits from authentic headlines to mitigate their impact on readers’ perception. Methodology: A total of one hundred thousand article headlines are collected from news aggregator sites consists of clickbaits and authentic news headlines. The collected data samples are divided into five training sets of balanced and unbalanced data. The natural language processing techniques are used to extract 19 manually selected features from article headlines. Contribution: Three ensemble learning techniques including bagging, boosting, and random forests are used to design a classifier model for classifying a given headline into the clickbait or non-clickbait. The performances of learners are evaluated using accuracy, precision, recall, and F-measures. Findings: It is observed that the random forest classifier detects clickbaits better than the other classifiers with an accuracy of 91.16 %, a total precision, recall, and f-measure of 91 %.

The purpose of this paper is to provide a model to help explain why ideas about reality differ. Misinformation is an important topic that in the past several years has gained prominence. The author developed a model of informing.

Zhigang WU,Yaohui ZHU, Vol.E107-D, No.11, pp.1385-1395
This article focuses on improving the BiSeNet v2 bilateral branch image segmentation network structure, enhancing its learning ability for spatial details and overall image segmentation accuracy. A modified network called “BiconvNet” is proposed. Firstly, to extract shallow spatial details more effectively, a parallel concatenated strip and dilated (PCSD) convolution module is proposed and used to extract local features and surrounding contextual features in the detail branch. Continuing on, the semantic branch is reconstructed using the lightweight capability of depth separable convolution and high performance of ConvNet, in order to enable more efficient learning of deep advanced semantic features. Finally, fine-tuning is performed on the bilateral guidance aggregation layer of BiSeNet v2, enabling better fusion of the feature maps output by the detail branch and semantic branch. The experimental part discusses the contribution of stripe convolution and different sizes of empty convolution to image segmentation accuracy, and compares them with common convolutions such as Conv2d convolution, CG convolution and CCA convolution. The experiment proves that the PCSD convolution module proposed in this paper has the highest segmentation accuracy in all categories of the Cityscapes dataset compared with common convolutions. BiConvNet achieved a 9.39% accuracy improvement over the BiSeNet v2 network, with only a slight increase of 1.18M in model parameters. A mIoU accuracy of 68.75% was achieved on the validation set. Furthermore, through comparative experiments with commonly used autonomous driving image segmentation algorithms in recent years, BiConvNet demonstrates strong competitive advantages in segmentation accuracy on the Cityscapes and BDD100K datasets.
Publication Date: 2024/11/01

This paper how to apply dynamic topic models to a set of cybersecurity documents to understand how the concepts found in them are changing over time.

The post paper: Temporal Understanding of Cybersecurity Threats appeared first on UMBC ebiquity.

Firms play a crucial role in furthering social welfare through their ability to foster stakeholders' contributions to joint value creation, i.e., value creation that involves a public-good dilemma due to high task and outcome interdependence - leading to what economists have labeled the 'team production problem'. We build on relational models theory to examine how individual stakeholders' contributions to joint value creation are shaped by stakeholders' mental representations of their relationships with the other participants in value creation, and how these mental representations are affected by the perceived behavior of the firm. Stakeholder theory typically contrasts a broadly-defined 'relational' approach to stakeholder management with a 'transactional' approach based on the price mechanism - and has argued that the former is more likely to contribute to social welfare than the latter. Our theory supports this prediction for joint value creation, but also implies that the dichotomy on which it is based is too coarse-grained: there are three distinct ways to trigger higher contributions to joint value creation than through a 'transactional' approach. Our theory also helps explain the tendency for firms and their stakeholders to converge on 'transactional' relationships, despite their relative inefficiency in the context of joint value creation.

Most research on creativity describes it as a net positive: producing new products for the organization and satisfaction and positive affect for creative workers. However, a host of anecdotal and historical evidence suggests that creative work can have deleterious consequences for relationships. This raises the question: how does creativity at work impact relationships at home? Relying on work-family conflict and resource allocation theory as conceptual frameworks, we test a model of creative behaviors during the day at work and the extent to which employees spend time with their spouses at home in the evening, using 685 daily matched responses from 108 worker-spouse pairings. Our results reveal that variance-focused creative behaviors (problem identification, information searching, idea generation) lead to a decline in time spent with spouse at home. In contrast, selection-focused creative behaviors (idea validation) lead to an increase in time spent with spouse. Further, openness to experience moderates these relationships. Overall, the results raise questions about the possible relational costs of creative behaviors at work on life at home.

Based on a multi-year field study of early-stage drug discovery project teams at a global pharmaceutical company, this paper examines how multidisciplinary teams engaged in knowledge creation combine formal and informal coordination mechanisms when faced with unpredictable interdependencies among specialists' knowledge domains. While multidisciplinary teams are critical for knowledge creation in increasingly specialized work environments, the coordination literature has been divided with respect to the extent to which such teams rely on formal coordination structures and informal coordination practices. Our findings show that when interdependencies among knowledge domains are dynamic and unpredictable, specialists design self-managed (sub-)teams around collectively held assumptions about interdependencies based on incomplete information (conjectural interdependencies). These team structures establish the grounds for informal coordination practices that enable specialists to both manage known interdependencies and reveal new interdependencies. Newly revealed interdependencies among knowledge domains, in turn, promote structural adaptation. Drawing on these findings, we advance an integrative model explaining how team-based knowledge creation relies on the mutual constitution of formal coordination structures and informal coordination practices. The model contributes to theory on organizational design and practice-based research on coordination in cross-disciplinary knowledge creation.

We augment transaction cost economics' (TCE) bounded rationality assumption with heuristics (framing) and cognitive biases to expand the understanding of hierarchical governance in the theory. TCE traditionally puts opportunism in the frontseat, while primarily relegating bounded rationality to the support role of invoking incomplete contracts. The theory also suggests that hierarchical governance effectively mitigates opportunism-based transaction costs, making it difficult to explain why hierarchies are not always used. However, when an augmented bounded rationality assumption is incorporated into TCE, we argue, first, that bounded rationality is a separate source of transaction costs, and, second, that these costs are not equally mitigated by all forms of hierarchy. Instead, different hierarchical forms are associated with particular frames and social referents that naturally enhance specific bounded rationality-based conflicts, allowing certain hierarchical forms to mitigate bounded rationality-based transaction costs better than others. As a result, bounded rationality takes a frontseat in the theory, addressing prior critiques of TCE, expanding the governance questions addressed by the theory and creating a new moderating role for asset specificity in internal exchanges.

In Strategic Corporate Social Responsibility (3rd edition) (SCSR), David Chandler and William B. Werther Jr. advance the view that the ability of firms to create value for a range of stakeholders over the medium- and long-term requires that they embed CSR into their strategies and operations. Its focus on the integration of CSR into strategic planning and implementation distinguishes SCSR from competing business and society textbooks, which tend to survey the field or focus on the management of the firm's relationships with stakeholders and society.

We examine when and why creative role identity causes entitlement and unethical behaviors and how this relationship can be reduced. We found that the relationships among the creative identity, entitlement, and dishonesty are contingent on the perception of creativity being rare. Four experiments showed that individuals with a creative identity reported higher psychological entitlement and engaged in more unethical behaviors. Additionally, when participants believed that their creativity was rare compared to common, they were more likely to lie for money. Moreover, manipulation of rarity of creative identity, but not practical identity, increased psychological entitlement and unethical acts. We tested for the mediating effect of psychological entitlement on dishonesty using both measurement of mediation and experimental causal chain approaches. We further provide evidence from organizations. Responses from a sample of supervisor-subordinate dyads demonstrated that employees reporting strong creative identities who perceived creativity as rare in their work-group rather than common were rated as engaging in more unethical behaviors by their supervisors. This paper extends prior theory on negative moral consequences of creativity by shedding new light on assumption regarding the prevalence of creativity and the role psychological entitlement plays.

George Taft, 65, and Ian Catterson, 73, drowned in February last year when MV Biter capsized while assisting a cruise ship.

A man threatened to push a nine-year-old girl in the Union Canal as she cycled home from football training.

Under cross-examination on Wednesday, Urfan Sharif unexpectedly said: “She died because of me.”

LaToya claimed self-defense, but Manassas, Virginia Prosecutor D. Burke Walker had other ideas and charged the woman with second-degree murder.

KOTA BHARU: Police have confirmed that the whistleblower who sent an open letter to the Yang di-Pertuan Agong regarding allegations of corruption in Sabah has received death threats.

Inspector-General of Police Tan Sri Razarudin Husain said the case is being investigated by the Bukit Aman Classified Crime Investigation Unit under Section 507 of the Penal Code, which addresses criminal intimidation through anonymous communication.

The 36-year-old male informant received a threatening call via WhatsApp from an unknown number.

“During the call, the suspect, believed to be a local man, threatened the informant in Mandarin, claiming to be from a hitman group and demanding the informant stay silent.

“The suspect warned that if the informant did not comply, he would be killed within 24 hours and called it a final warning,” Razarudin told Bernama today.

Razarudin said the suspect also sent two images, one of a pistol with ammunition and another showing a person shot in the street.

The informant expressed deep fear for his own safety and that of his family, he said.

“After receiving the WhatsApp message, the informant reported the incident and blocked the number. Since then, no further threats have been made,” Razarudin said, adding that the informant initially suspected that the phone number might belong to a scammer or was dialed incorrectly.

He said further checks revealed that the phone number was no longer in service and had no registered owner.

Razarudin added no other reports had been filed regarding this number, and the investigation returned no relevant records.

[…] Update vom 10.2.2017, Karen Blakeman’s Blog: New Creative Commons image search – back to the drawing board I’m afraid […]

Pastor Apollo Quiboloy spent six months in hiding with no report that he ever required hospital confinement for any affliction. But perhaps arrest and detention without bail, in accommodations that a man wealthy enough to tool around in a private jet may not be used to, can trigger a “life-threatening” affliction.

The National University Bulldogs ended their UAAP Season 87 men’s basketball tournament on a high note after thwarting the top-seeded La Salle Green Archers, 63-54, Wednesday afternoon at the UST Quadricentennial Pavilion in Manila.

Locating images that can be re-used, modified and incorporated into commercial or non-commercial projects is always a hot topic on my search workshops.  As soon as we start looking at tools that identify Creative Commons and public domain images the delegates start scribbling. Yes, Google and Bing both have tools that allow you to specify … Continue reading New Creative Commons image search – back to the drawing board I’m afraid →

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We're doing it again! 10 lucky geeks and Gamers will receive $100 Amazon Gift cards just for looking around between now and the end of the month. ...

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Google Flights has released a new feature that allows travelers worldwide to find the best possible airfare deal with one click. The feature is currently being rolled out and should be available globally over the next two weeks. Google Flights Introduces “Cheapest” Tab Look for the new “Cheapest” tab (next to the “Best” tab) to […]

The post Google Flights Just Announced a New Feature To Find Cheap Flights appeared first on Clark Howard.

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Project costing $500m to be supported by WB, will include modern equipment

A road trip through Gilgit-Baltistan is an adventure an experience for all senses

‘Standup Girl’ actor says she has no qualms about beau playing romantic roles