Sharing Behavior Research Articles

Rally-around-the-destination? Changes in host-guest emotional solidarity after crises

Utilizing the political concept of “rally-around-the-flag”, this study takes Jiuzhai Valley as a case to construct a framework of host-guest emotional solidarity and examines the dynamics of such solidarity after an earthquake and the COVID-19 pandemic. Thematic and sentiment analyses are applied to interpret Sina Weibo data and the narratives derived from residents’ interviews as a form of triangulation. Results show that under crisis: (1) host-guest emotional solidarity includes shared beliefs, shared emotions, and interactive behaviors; (2) the short-term rally effect is emotion-driven and depends on “we-ness” relationships, emotional empathy, and place identity; (3) the long-term rally effect is value-driven and emerges when host-guest emotional empathy develops into value resonance through resource integration and relationship reconstruction. The results have implications for emotional solidarity theory and destination recovery in times of crisis.

Publics’ Motivations for Sharing Public Policy Promotions on Social Media and Their Impacts on Publics’ Sharing Behavior

Publics’ Motivations for Sharing Public Policy Promotions on Social Media and Their Impacts on Publics’ Sharing Behavior

Fostering Innovation: Exploring Key Factors and Their Relationship on Organizational Performance Towards Innovation Management Culture

Employee creativity positively impacts organizations’ ability to foster innovation and influences organizational learning, as the 4.0 industry promises more innovative, sustainable, and smarter productivity. This study addresses the importance of innovation culture in the technology industry’s business landscape. Despite the growing attention given to innovation culture, there is a need to explore its relationship with corporate performance. A descriptive research design with a quantitative approach using regression analysis was used. Furthermore, 398 respondents from Chinese technological enterprises were investigated. Based on these findings, the workforce in the technology sector hires people of different ages and positions. Those who belong to the supervisory level focus more on quality control and process improvement. The findings also demonstrated that innovative culture significantly impacts firm performance through its influence on factors such as organizational learning, creativity and empowerment, value orientation, and market orientation. Thus, it emphasizes the importance of aligning innovation strategies at all organizational levels and effectively allocating resources to verify how innovation stimulates innovative behavior in organizations. Organizational learning can improve the shared values and behaviors of an organization and further improve organizational performance. A strong correlation between corporate culture and organizational performance. Moreover, the more effort a company puts into building its culture and the more it achieves, the greater its advantage in financial and non-financial performance, and the higher sustainability for innovation management culture will be evident.

Unifying frameworks for complete test strategies

The field of model-based testing has witnessed the development of several test strategies on finite state machines. Although these strategies are often related, little effort has been made to explicitly identify patterns shared between them, and their concrete implementations as well as completeness proofs regularly exhibit redundancy. In this paper, we propose an approach for the systematic verification and implementation of strategies for the language-equivalence conformance relation. We present frameworks in the form of higher order functions that implement shared behaviour once and encapsulate diverging behaviour in procedural parameters, thus reducing duplication and improving maintainability and extensibility. We show that this simplifies completeness proofs by proving complete all considered strategies using the same argument. All presented frameworks, proofs, and concrete strategy implementations have been mechanised using the proof assistant Isabelle.

Creating public value in frontline teams: an empirical exploration of shared leadership behaviour by frontline officials

ABSTRACT In this study, we aim to provide insight into the way in which frontline officials in teams employ leadership behaviour aimed at creating public value. We conducted 29 in-depth semi-structured narrative interviews with frontline officials and their direct supervisors from three teams in Dutch public organizations, to identify shared leadership behaviours used to stimulate decision-making based on a shared meaning of public value and to facilitate work processes that enable public value creation. Based on these findings, we formulate propositions to further study shared leadership mechanisms by frontline officials, and we point out recommendations to stimulate leadership within frontline teams.

Assessing inflation and greenhouse gas emissions interplay via neural network analysis: a comparative study of energy use in the USA, EU, and China

This study examines the relationship between inflation and greenhouse gas (GHG) emissions in three major economies: the United States of America (USA), the European Union (EU), and China. The analysis spans from 1960 to 2021 for the USA and EU, and from 1971 to 2021 for China. A feedforward neural network model, optimized using the Levenberg–Marquardt backpropagation algorithm, was employed to predict GHG emissions based on annual inflation rates and fossil fuel energy consumption. The study integrates historical data on inflation trends with GHG emissions, measured in CO2 equivalents, and fossil fuel energy consumption, expressed as a percentage of total energy use. This multidimensional approach allows for a nuanced understanding of the economic-environmental interplay in these regions. Key findings indicate a nonlinear response of GHG emissions to inflation rates. In the USA, GHG emissions begin to decrease when inflation rates exceed 4.7%. Similarly, in the EU, a steep reduction in emissions is observed beyond a 7.5% inflation rate. China presents a more complex pattern, with two critical inflection points: the first at a 4.5% inflation rate, where GHG emissions start to decline sharply, and the second at a 7% inflation rate, beyond which further increases in inflation do not significantly reduce emissions. A critical global insight is the identification of a uniform inflation rate, around 4.4%, across all regions, at which GHG emissions consistently increase by 1%, hinting at a shared global economic behavior impacting the environment. This discovery is vital for policymakers, emphasizing the need for tailored regional strategies that consider unique economic structures, energy policies, and environmental regulations, alongside a coordinated global approach.

Major Factors Influencing Safety Knowledge–Sharing Behaviors of Construction Field Workers: Worker-to-Worker Level Safety Communication

Major Factors Influencing Safety Knowledge–Sharing Behaviors of Construction Field Workers: Worker-to-Worker Level Safety Communication

The Influence of JOMO and Authenticating News Before Sharing on Fake News Sharing Behavior

Easy access to the internet provides many conveniences for its users. Thanks to the convenience provided, information can spread quickly and widely. However, for every advantage there are disadvantages. The easy dissemination of this information can also have negative impacts, one of which is the spread of fake news. Currently, fake news is very easy to find, especially in online media. This research is based on behavioral reasoning theory, which discusses the reasons behind individual behavior and intentions. The purpose of this theory is to find out the factors that influence the spread of fake news. In this research, there are 2 factors studied, JOMO and authenticating news before sharing through perceived believability. By distributing questionnaires to students and analyzed using SmartPLS, it can be concluded that JOMO and authenticating news before sharing have a negative effect on fake news-sharing intentions either through mediation or directly. The results show that individuals will not have the intention to spread fake news even though the person believes that the source of the information they receive is credible. Based on this research, individuals tend to check the veracity of the news they receive before sharing it to avoid fake news-sharing behavior. Apart from that, there are also some individuals who feel happier and more relaxed when they are not connected to information that is being widely reported, this is their reason not to engage in fake news-sharing.

The Role of Organizational Learning Culture and Workplace Empowerment in Improving Workplace Spirituality through Knowledge Sharing Behavior as a Mediation Variable

This research aims to find the role of Organizational Learning Culture and Workplace Empowerment on Workplace Spirituality through Knowledge Sharing Behavior as a mediating variable in PT. Sidomuncul herbal medicine industry, Semarang Regency. This research is quantitative research using the Partial Least Square SEM PLS application tool, carried out to test hypotheses with the aim of strengthening the hypothesis or rejecting theories or hypotheses from existing research results. the population was permanent employees at PT. Sidomuncul herbal medicine industry, Semarang Regency. The Human Capital Technology Division and Market Capability Division were deemed suitable for the Knowledge Sharing Behavior variable, totaling 255 people consisting of 200 male employees and 55 female employees. The sampling technique used in this research is census with the aim of the total population being used to determine the sample size, the research used a census technique of 255 respondents. The results of this research prove that Knowledge Sharing Behavior has a positive and significant effect on Workplace Empowerment, Knowledge Sharing Behavior has a positive and significant effect on Workplace Spirituality, that Organizational Learning Culture has a positive and significant effect on Knowledge Sharing Behavior, that Organizational Learning Culture has a positive and significant effect on Workplace Spirituality, Knowledge Sharing Behavior can greatly mediate the influence of Organizational Learning Culture on Workplace Empowerment.

Influence of Social Media on Information Seeking and Sharing Behavior among Young Adults in Kenya

Purpose: The aim of the study was to investigate the influence of social media on information seeking and sharing behavior among young adults in Kenya.
 Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
 Findings: Social media heavily influences information seeking and sharing behavior among young adults in Kenya, facilitating quick access to diverse content despite concerns about reliability. To address misinformation and promote digital literacy, implementing educational programs and establishing guidelines for verifying information on social platforms are recommended.
 Unique Contribution to Theory, Practice and Policy: Uses and gratifications theory, social cognitive theory & diffusion of innovations theory may be used to anchor future studies on influence of social media on information seeking and sharing behavior among young adults in Kenya. Develop and implement digital literacy programs tailored to the needs of young adults in Kenya, with a focus on enhancing critical evaluation skills, media literacy, and information verification techniques. Advocate for the development of policies and guidelines to regulate the dissemination of misinformation, hate speech, and harmful content on social media platforms, while preserving freedom of expression and information sharing.

Leveraging Supervisor Knowledge Sharing Behavior and Organizational Absorptive Capacity on Nurses’ Creativity

Background. Nurses’ creativity is an imperative necessity for healthcare organizations to grow. The creative abilities of nurses are affected by many factors; some of these factors are stimulants and some of these are inhibitors. Supervisors’ knowledge sharing behavior and the capacity to absorb new knowledge and technologies are important factors in the recent era that delineate the creativity of nurses. Aim of the Study. Assess the effect of supervisor knowledge sharing behavior and organizational absorptive capacity on nurses' creativity. Method. Cross-sectional multicenter descriptive correlational exploratory research design was used to conduct the study. Data were collected conveniently from 700 nurses recruited from five large hospitals at Alexandria, Egypt, using three self-administered printed questionnaires. Findings were investigated via descriptive and inferential statistics as well as structured equation modeling. Results. Nurses’ creativity was positively associated with supervisor knowledge sharing behavior and organizational absorptive behavior (r = 0.619, p value <0.001, and r = 0.545, p value <0.001, respectively). Supervisor knowledge sharing behavior accounted for 87% of variance in nurses’ creativity, while organizational absorptive capacity accounted for 55% of variance in nurses’ creativity. Conclusion. Supervisors’ knowledge sharing behavior and absorptive capacity of organization are powerful significant stimulants for nurses’ creativity. Implications to Nursing Management. Hospital directors, managers, and nursing leaders should cultivate knowledge sharing behavior in healthcare settings by establishing a reward and incentive system for healthcare workers who share their knowledge with their colleagues for mutual benefit and organizational development.

Transformational Leadership On Employee Innovative Work Behavior: The Role Of Knowledge Sharing Behavior

This article discusses direct influence testing of transformational leadership on employees innovative work behavior and the role of knowledge sharing behavior as a mediating variable. The study encompasses 115 participants from the Semarang City Health Service, and the data analysis was carried out using SEM-PLS with SmartPLS version 3 software. The results indicated a significant effect of TL on IWB and KSB. Another noteworthy finding revealed that KSB had a significant impact on IWB. Moreover, the study identified that TL and IWB can be partially mediated by KSB. The study holds both theoretical and practical implications.

Amending the Emotional Solidarity Theoretical Framework Through the Addition of Perceived Similarity, Empathy, and Narcissism

ABSTRACT As tourism rebounds globally, a growing need persists to understand the complex social dynamics between residents and tourists and how these dynamics shape residents’ support for the industry. By employing an amended theory of emotional solidarity, this study examined factors affecting residents’ solidarity and how that translates to pro-tourism behaviour. Data were collected from 438 residents in Fiji and analyzed using covariance-based structural equation modelling. Of Woosnam’s original antecedents—shared beliefs and interaction—were positively related to the two dimensions of emotional solidarity (communality and fairness); whereas shared behaviour was only positively associated with communality. Two dimensions of empathy (affective and cognitive) were positively associated with both emotional solidarity dimensions. Narcissism was negatively related to communality. A positive association was found between narcissism and the fairness dimension of solidarity, despite hypothesizing a negative relationship. Finally, both the communality and fairness dimensions of solidarity significantly explained residents’ pro-tourism behavioural intentions.

Determinants of Knowledge Sharing Behaviors: Developing and Testing an Integrated Theoretical Model

Hyperprolactinemia is a hypothalamic-pituitary disorder caused by increased serum prolactin levels from a variety of causes. Increased secretion of prolactin (PRL) in the blood can lead to a variety of somatic disorders, including menstrual abnormalities such as scanty or absent menstruation, as well as breast engorgement and infertility. If left untreated, this condition can progress and lead to recurrent miscarriage, embryonic arrest, osteoporotic fractures, and other complications. In recent years, the combination of traditional Chinese medicine and Western medicine has been used to effectively treat hyperprolactinemia. This review aims to provide a comprehensive overview of the treatment of hyperprolactinemia using both traditional and modern medicine, to improve diagnosis and treatment options for this condition.

Examining the role of social relationships on health and health behaviors in African American men with prostate cancer: a qualitative analysis.

Cancer survivor cohort studies document the positive impact of health behaviors on cancer survivorship by influencing quality of life, comorbidity burden, and cancer recurrence. Social networks can be instrumental in supporting health behavior changes. This study used qualitative interviews to explore how social networks may impact health and health behaviors of African American Prostate Cancer Survivors (AAPCS) enrolled in Men Moving Forward (MMF), a lifestyle intervention designed with and for AAPCS. Specifically, we sought to understand how different relationships within social networks influence health and health behaviors, and to identify potential mechanisms for this influence. Eighteen men who completed the MMF intervention participated in a semi-structured interview which explored social connections, health and health behaviors, stress, and the cancer experience. Interviews were recorded and transcribed, and thematic analysis was performed by two coders. Participants described robust social networks of friends and family. Four distinct yet overlapping themes were identified that described how relationships influence health and health behaviors among AAPCS: (1) provision of knowledge, (2) health and behavior history, (3) encouragement and support, and (4) shared behavior. These results provide initial insight into the types of relationships that influence health, and the intersecting and multifaceted mechanisms through which this influence occurs.

The Impact of Shared Instructional Leadership and Social Capital on School Effectiveness

The aim of this study is to determine the effect of shared instructional leadership and social capital on school effectiveness according to teacher perceptions. The study was designed in a descriptive relational survey model. The sample of the study consists of 403 teachers working in schools in the Odunpazarı and Tepebaşı districts located in the city center of Eskişehir, Turkey in the 2021-2022 academic year. In the study, “Shared instructional leadership scale,” “Social capital scale” and “School effectiveness scale” were used. In the study, it was found that teachers’ perceptions of shared instructional leadership, social capital, and school effectiveness levels were high. It was determined that shared instructional leadership and social capital variables together had a high and significant relationship with school effectiveness. The relative importance of the predictor variables on school effectiveness are shared instructional leadership and social capital variables, and these variables were found to be significant predictors of school effectiveness. School principals can contribute to the strengthening of social capital and school effectiveness by exhibiting shared instructional leadership behaviors such as focusing on student learning, sharing authority and responsibilities, strong dialogue and cooperation.

Studying shared bike route choice behavior using a bike-sharing system in Germany

The objective of this research is to explore the determinants of shared bike route choice in both urban and rural settings in Germany. To this end, a stated preference (SP) survey on route choice was conducted across several German cities. Participants were drawn from the service area of a regional bike-sharing system (BSS) in Germany. This area included five major cities and several mid-sized and smaller municipalities. The survey includes responses from both users and non-users of the BSS. Mixed multinomial logit models were used in analysis of the SP data. The study also calculated the willingness to pay (WTP) values for selected attributes. Significant influences on route choice included access and egress time, ride time, and ride cost. Significant random heterogeneity was found, especially for ride cost. Further heterogeneity was reported for interactions with sociodemographic attributes. Street type, surface, and bike infrastructure also had significant effects on route choice. Linkages between infrastructural preferences and respondents’ ages were evident. Although WTP values were strongly influenced by random heterogeneity in ride cost perception, most WTP values were comparable to the values obtained in other studies.

Knowledge Sharing Behavior Shaped by Organizational Climate, Social Network, Perception, and Achievement Motivation

To date, knowledge sharing commonly discussed just as a part of knowledge management. However, knowledge sharing as a behavior is imperative to be investigated and managed carefully at a firm level. This study was aimed to examine employee knowledge sharing behavior could be shaped by organizational climate, social network, individual perception on knowledge itself, and achievement motivation. Data collected from questionnaires filled by 121 respondents who work at a multinational Japanese company operating in Indonesia (PT MII). Path analysis was used to evaluate causal model among variables. Result indicates that achievement motivation acts well as an intervening variable influences knowledge sharing behavior. Organization climate has a strongest path among variables with good practices performed by a supervisor; corporate policy to deploy knowledge; a knowledgeable feedback and corrective actions; and an assignment with a considerable time to deadline. Employees perceived that sharing behavior encouraged first in the network, promoted and managed by the organization, and lastly as a personal initiative. Motivated employees sharing their knowledge for self’s empowered, a sense of self merit, and share first at the situation of immediate and necessity. Idea for a better work more often shared than to find solutions for instant actions, tacit knowledge tends to be shared when requested, self’s refined knowledge shared individually rather than at a workgroup, and still there are some reluctances of senior owners to contribute their precious tacit knowledge at once. Keywords: Knowledge Sharing Behavior, Organizational Climate, Social Network, Individual Perception, Achievement Motivation

Importance of Friendship and Minimal Group Membership in 4–6-Year-olds’ and 9–12-Year-olds’ Sharing Behavior in China

Strategies for favoring close others, such as friends and in-group members, benefit individuals and society. Although younger and older children apply these sharing strategies, how they integrate these relationships remain understudied. Friendship and group membership sometimes conflict (e.g. a friend from another, even a rival group), driving the question of how children behave in such situations. To address this question, this preregistered study recruited 121 4–6-year-olds and 94 9–12-year-olds from a middle-class community in China. A 2 (friend vs. stranger) by 2 (in vs. out-group) between-subjects design was applied per age group. Participants were asked to share seven objects with a recipient, who was either a stranger, or a previously nominated friend and from an in- or out-group (manipulated in the Minimal Group Paradigm). The results showed that children in both age groups shared more with friends than with strangers. However, only 4–6-year-olds shared more resources with in-group members than with out-group ones. Moreover, 4–6-year-olds did not distinguish between an out-group friend and an in-group stranger, while 9–12-year-olds shared more with an out-group friend relative to an ingroup stranger, indicating that friendship outweighs minimal group membership only among 9–12-year-olds. Furthermore, there was an interaction between age and minimal group membership, implying a decrease in the minimal group effect between 4–6-year-olds and 9–12-year-olds. Accordingly, the implications of friendship and minimal group effects, and their relative influence on sharing during childhood are discussed.

Artificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer

Bladder cancer is one of the most common cancer types in the urinary system. Yet, current bladder cancer diagnosis and follow-up techniques are time-consuming, expensive, and invasive. In the clinical practice, the gold standard for diagnosis remains invasive biopsy followed by histopathological analysis. In recent years, costly diagnostic tests involving the use of bladder cancer biomarkers have been developed, however these tests have high false-positive and false-negative rates limiting their reliability. Hence, there is an urgent need for the development of cost-effective, and non-invasive novel diagnosis methods. To address this gap, here we propose a quick, cheap, and reliable diagnostic method. Our approach relies on an artificial intelligence (AI) model to analyze droplet patterns of blood and urine samples obtained from patients and comparing them to cancer-free control subjects. The AI-assisted model in this study uses a deep neural network, a ResNet network, pre-trained on ImageNet datasets. Recognition and classification of complex patterns formed by dried urine or blood droplets under different conditions resulted in cancer diagnosis with a high specificity and sensitivity. Our approach can be systematically applied across droplets, enabling comparisons to reveal shared spatial behaviors and underlying morphological patterns. Our results support the fact that AI-based models have a great potential for non-invasive and accurate diagnosis of malignancies, including bladder cancer.