Addressing Wealth Inequality Problem in Blockchain-Enabled Knowledge Community with Reputation-Based Incentive Mechanism

An increasing number of online knowledge communities have started incorporating the cut-edge FinTech, such as the tokenbased incentive mechanism running on blockchain, into their ecosystems. However, the improper design of incentive mechanisms may result in reward monopoly, which has been observed to harm the ecosystems of exiting communities. This study is aimed to ensure that the key factors involved in users’ reward distribution can truly reflect their contributions to the community so as to increase the equity of wealth distribution. It is one of the first to comprehensively balance a user’s historical and current contributions in reward distribution, which has not received sufficient attention from extant research. The simulation analysis demonstrates that the proposed solution of amending the existing incentive mechanism by incorporating a refined reputation indicator significantly increases the equity of rewards distribution and effectively enlarges the cost of achieving reward monopoly

Investigating Customer Knowledge Sharing in Online Brand Communities with a Meta-synthesis Approach

Today, the customer is considered the most important partner for the value-creation process in organizations. Companies and organizations have also turned to use social media and online communities in order to improve their efficiency, cost-effectiveness, or the quality of their customer operations. The purpose of the present study is to identify the factors affecting the sharing of customer knowledge in online brand communities with the meta-synthesis technique. In this research, using the systematic review and qualitative meta-synthesis approach, the findings and results of studies from 2006 to 2022 are analyzed. To do this, the method of Sandelowski and Barroso (2006) has been used. In this research, after the initial search and refining of resources related to the subject of customer knowledge sharing in online communities, 76 sources were selected as final sources with the critical evaluation method. Then, using the qualitative method of document analysis using ATLAS.ti software, 7 dimensions and 74 components were identified as factors of customer knowledge sharing in online communities. The main dimensions identified are individual factors, social, motivational, technological factors, brand network relationship structure factors, brand-related factors, and knowledge-related factors. Managers and decision-makers of organizations and companies can adapt their company and organization to the competitive environment by understanding different aspects of online knowledge sharing.   Introduction The issue of knowledge sharing in online communities is widely important in various fields of education, human resource management, and marketing. Sharing customer knowledge leads to new product creation, existing product development, facilitating understanding of emerging market opportunities, and improving long-term customer relationships (Salim et al., 2022). In other words, the sharing of customer knowledge is important for both the organization and the customers themselves because in this way the companies will benefit from the business of the customers, and the development and improvement of the companies' activities will be provided (Sari et al., 2019). Therefore, identifying the factors that encourage and facilitate customer knowledge in online communities, especially online brand communities, is very important and the basis for the progress and excellence of companies. In this regard, in the present study, an attempt is made to identify and categorize the factors affecting customer knowledge sharing in online brand communities.   Methodology The current research is qualitative in nature based on practical purposes. The statistical population of the research is all the scientific research related to the research topic, the most relevant of which were selected using a meta-composite approach, which is a kind of systematic review. In order to achieve the coherence and integration of the results of studies related to the effective factors on the sharing of customer knowledge in online communities, in this research, the meta-synthesis method based on the seven-stage model of Sandelowski and Barroso (2006) was used. In this section, reliable sources and studies were reviewed in the field of customer knowledge sharing in online brand communities between 2006 and 2022. Findings In this research, after the initial search and refining of sources related to the subject of customer knowledge sharing in online communities, 76 sources were selected as final sources with the Critical Appraisal Skills Program and then with the qualitative method of document analysis using the ATLAS ti software. Seven main factors (categories) and 74 components were identified as factors of customer knowledge sharing in online communities. The main dimensions identified are individual factors, social, motivational, technological factors, brand network relationship structure factors, brand-related factors, and knowledge-related factors.    Conclusion As mentioned above, seven categories of factors were identified and categorized by using the meta-synthesis method. Individual factors are more focused on the personality aspects of customers and have been discussed in many studies. For example, according to Chang et al. (2013), extrovert people have a greater desire to share knowledge in online communities, or people's desire to help others and altruism have also been proposed in several studies as individual factors affecting knowledge sharing. The second identified factor is social factors. Social factors refer to the indicators based on which customers tend to meet their social needs and maintain their interaction with the society through sharing knowledge in online communities. As an example, indicators such as the feeling of belonging to the community or seeking social support have been confirmed in various studies such as Sari et al. (2019) and Degbey and Pelto (2021). Motivational factors also play an important role in customer participation in knowledge sharing. Among the sub-characteristics of this category of factors, hedonistic, emotional and social benefits, and incentive mechanisms are mentioned more than others in studies such as Munjal et al. (2019). The fourth group of factors affecting customer knowledge sharing is technological factors that mostly refer to technical aspects and platforms that provide access to the company's online space for customers. In this category, factors such as privacy (Arief et al., 2018), ease of use (Baima et al., 2022), and platform design (Li & Cox, 2021) can be seen, which show the importance of choosing a platform and its design for companies. Brand-related factors constitute the fifth group of factors affecting customer knowledge sharing in online communities. These factors are directly related to the characteristics and coordinates of the brand. In other words, if a company is able to act successfully in the way of branding and features such as brand trust (Dessart et al., 2015), brand satisfaction (Salim et al., 2020), and brand loyalty (li et al., 2022) can hope for success in sharing customer knowledge in online communities. Brand network relationship structure factors are the sixth group of factors affecting customer knowledge sharing, which emphasize the important role of communication factors. These factors have been mentioned in the studies of Salim et al. (2022) and Elsharnouby (2021). The last and seventh group of factors affecting the sharing of customers' knowledge in online communities are knowledge-related factors that are more effective from the content aspect.      

A influência do tipo de cultura organizacional nos níveis de motivação dos radioterapeutas

Este trabalho de investigação abordou duas temáticas essenciais na vida de uma organização: cultura organizacional e motivação dos trabalhadores. Procurou-se compreender melhor estas dimensões e analisar como influenciam os Radioterapeutas. O objetivo visou analisar se o tipo de cultura organizacional dominante influencia os níveis de motivação dos Radioterapeutas. Este estudo trabalhou com o modelo de Cultura de Denison focado nas tipologias de envolvimento, adaptabilidade, consistência e missão, procurando encontrar a correlação existente com a motivação geral, nas variáveis: remuneração, realização, equipa e atributos de trabalho. O estudo baseou-se na recolha quantitativa de dados através da realização de questionários a todos os Radioterapeutas a trabalhar em Portugal, dos quais se obteve uma amostra de 137questionários. Os resultados evidenciam que os Radioterapeutas se encontram motivados e que o tipo de cultura organizacional que mais influencia a motivação é a de adaptabilidade, seguida pelo envolvimento e, portanto, uma cultura no eixo da flexibilidade; Abstract: The Influence of Organizational Culture Type on Radiotherapist Motivation levels This research work addressed two essential themes in the life of an organization: organizational culture and the motivation of workers. It is intended to better understand these aspects and analyze how they influence the Radiotherapists. The goal was to understand whether the type of dominant organizational culture influences the motivation levels of Radiotherapists. It utilized Denison's culture model focused on the typologies of involvement, adaptability, consistency and mission, looking for their correlation, with the general motivation and its variables: remuneration, achievement, team and work attributes. The study was based on the quantitative data collection, with questionnaires to all Radiotherapists working in Portugal, from which a sample of 137 questionnaires was obtained. The results show that Radiotherapists are motivated and that the type of organizational culture that most influences motivation is adaptability, followed by involvement and, therefore, a culture in the axis of flexibility