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Knowledge commons play a pivotal role in knowledge creation and sharing in the digital economy. The motivation for this research was the opportunity to develop a knowledge commons for IT service management (ITSM) practitioners. To obtain guidance to design the knowledge commons, we critically reviewed commons design principles (DPs) that were based on a well-established economics theory. We observed that the commons DPs had significant gaps when applied to IS practice. Hence, we developed an alternate set of DPs that we refer to as platform-enabled knowledge commons (PEKC) DPs that are relevant to IS practice. This paper discusses the development of PEKC DPs and applies them in instantiating an IS artifact, Service-Symphony. Service-Symphony is a purpose-built, public-facing knowledge repository developed for the benefit of ITSM practitioners and students. Our research followed the design science research (DSR) paradigm and contributes to the body of knowledge by establishing a multigrounded design theory comprising meta-requirements and DPs. To bridge theory and practice, we assessed the reusability of PEKC DPs through focus group interviews with IS architects. Our case study illustrates the complete life cycle of DPs covering conceptualization, initial formulation, iterative refinement, application to an important real-world instantiation, and evaluation by a group of independent IS practitioners.

Pursuing integrated research and decision-making to advance action on the sustainable development goals (SDGs) fundamentally depends on understanding interactions between the SDGs, both negative ones (“trade-offs”) and positive ones (“co-benefits”). This quest, triggered by the 2030 Agenda, has however pointed to a gap in current research and policy analysis regarding how to think systematically about interactions across the SDGs. This paper synthesizes experiences and insights from the application of a new conceptual framework for mapping and assessing SDG interactions using a defined typology and characterization approach. Drawing on results from a major international research study applied to the SDGs on health, energy and the ocean, it analyses how interactions depend on key factors such as geographical context, resource endowments, time horizon and governance. The paper discusses the future potential, barriers and opportunities for applying the approach in scientific research, in policy making and in bridging the two through a global SDG Interactions Knowledge Platform as a key mechanism for assembling, systematizing and aggregating knowledge on interactions.

PurposeThe purpose of this study is to draw on the updated information system success model, perceived value and new product novelty to identify the factors that may influence user satisfaction and loyalty with paid knowledge platforms.Design/methodology/approachThe authors used the survey method to collect 540 valid sample data. The structural equation modelling (SEM) technique was employed to test the proposed research model and hypotheses.FindingsThe findings suggested that system, information and service quality significantly affected the perceived utilitarian value, while service quality and new product novelty had significant impact on perceived hedonic value. Besides, both the perceived utilitarian value and the perceived hedonic value had a significant effect on user satisfaction and further significantly impacted user loyalty. The authors also found user differences, including gender, education level and use frequency, which had a significant influence on perceived utilitarian value, perceived hedonic value and user loyalty.Research limitations/implicationsThe results can help researchers and practitioners better understanding the factors that influence user satisfaction and loyalty with paid knowledge platforms.Originality/valueThe authors applied the theories of perceived value, new product novelty and user loyalty to the domain of paid knowledge platforms and explored the factors influencing the user satisfaction and loyalty to paid knowledge platforms.

Journalism relies more and more on information and communication technology (ICT). ICT-based journalistic knowledge platforms continuously harvest potentially news-relevant information from the Internet and make it useful for journalists. Because information about the same event is available from different sources and formats vary widely, knowledge graphs are emerging as a preferred technology for integrating, enriching, and preparing information for journalistic use. The paper explores how journalistic knowledge graphs can be augmented with support for news angles, which can help journalists to detect newsworthy events and make them interesting for the intended audience. We argue that finding newsworthy angles on news-related information is an important example of a topical problem in information science: that of detecting interesting events and situations in big data sets and presenting those events and situations in interesting ways.

Given the recent advances in technology, knowledge-based products have become increasingly prevalent. Many companies offer interdisciplinary resources for incumbent learners to break through chronological and geographical constraints. Therefore, it is important to investigate the factors that motivate learners to pay for knowledge-based products. The purpose of this research was to identify the relevant factors that contribute to purchasing intentions and to clarify the reasons why people purchase knowledge-based products. This study involved 406 valid participants over 20 years of age with knowledge purchase experience. The results demonstrated that incumbent learners’ need for affiliation has a positive effect on involvement, and that involvement has a significant positive impact on knowledge purchase intentions. The key factor influencing learners to pay for knowledge-based products is their involvement in learning. Information anxiety interferes with the relationship between involvement and knowledge purchase intentions. However, no linear relationship was found between cognitive styles and involvement. Field-dependent learners show greater involvement and also information anxiety than field-independent learners. The research offers suggestions for practical use and future research from the perspective of knowledge-product marketing.

Purpose In the hybrid knowledge-sharing platform where paid and nonpaid (“free”) knowledge activities coexist, users’ free knowledge contribution may be influenced by financial factors. From the perspective of opportunity cost, this study investigates the direct effect of how the amount of monetary income from users’ contribution to paid knowledge activities influences their free knowledge contribution behavior in the future. Further, this study aims to verify the interaction effect of financial and nonfinancial factors (i.e. the experience of free knowledge contribution and social recognition) on free knowledge contribution. Design/methodology/approach Objective data was collected from a hybrid knowledge-sharing platform in China and then analyzed by using zero-inflated negative binomial regression model. Findings Results show that the amount of monetary income that knowledge suppliers gain from paid knowledge contribution negatively influences their free knowledge contribution. Experience of free knowledge contribution strengthens the negatively main effect, while social recognition has the weakening moderating role. Originality/value Although some studies have explored and verified the positive spillover effect of financial incentives on free knowledge contribution, the quantity dimension is ignored. This study examines the hindering influence of the quantity of monetary income from the perspective of opportunity cost. By taking the characteristic of knowledge suppliers and platforms as moderators, this study deepens the understanding of the influence of monetary income on free knowledge contribution in the hybrid knowledge-sharing platform.

Increasing competition and loss of revenues force newsrooms to explore new digital solutions. The new solutions employ artificial intelligence and big data techniques such as machine learning and knowledge graphs to manage and support the knowledge work needed in all stages of news production. The result is an emerging type of intelligent information system we have called the Journalistic Knowledge Platform (JKP). In this paper, we analyse for the first time knowledge graph-based JKPs in research and practice. We focus on their current state, challenges, opportunities and future directions. Our analysis is based on 14 platforms reported in research carried out in collaboration with news organisations and industry partners and our experiences with developing knowledge graph-based JKPs along with an industry partner. We found that: (a) the most central contribution of JKPs so far is to automate metadata annotation and monitoring tasks; (b) they also increasingly contribute to improving background information and content analysis, speeding-up newsroom workflows and providing newsworthy insights; (c) future JKPs need better mechanisms to extract information from textual and multimedia news items; (d) JKPs can provide a digitalisation path towards reduced production costs and improved information quality while adapting the current workflows of newsrooms to new forms of journalism and readers’ demands.

Purpose The model of pay-for-knowledge incentivizes individuals with financial rewards for sharing their expertise, facilitating a transactional exchange between knowledge providers (sellers) and seekers (buyers). While this model is effective in promoting paid contributions, its influence on free knowledge exchanges remains ambiguous, creating uncertainty about its overall impact on platform knowledge ecosystems. This study aims to explore the mechanim of how knowledge payment influences free knowledge contribution. Based on relational signaling theory, this study posits that a buyer’s payment for knowledge acts as a positive relational signal in the buyer–seller relationship and examines how the signaling effect varies across different social contexts through attribution theory. Design/methodology/approach This paper empirically tests the hypotheses by analyzing a data set comprising 630 instances from 359 unique knowledge sellers on Zhihu, a prominent knowledge-sharing platform in China. This paper use zero-inflated negative binomial models to conduct this analysis. Findings The findings reveal that when buyers pay for knowledge, this action positively influences sellers to contribute knowledge for free. However, the strength of this influence is moderated by the platform’s social functions: appreciation feedback tends to weaken this effect, while social network ties enhance it. Originality/value Prior research has predominantly focused on the financial incentives of pay-for-knowledge and its spillover effects on unpaid users’ activities. This study shifts the focus to the social dimensions of pay-for-knowledge, arguing that buyer-initiated knowledge payments signal buyers’ commitment to foster reciprocal relationships with sellers. It expands the literature on the relationship between knowledge payment and contribution, moving beyond financial incentives to include social factors, thus enriching our understanding of the interplay between paid and free knowledge activities. Additionally, the empirical evidence supports the efficacy of pay-for-knowledge in promoting both free and paid contributions within knowledge-sharing platforms.

Circular economy has created a seismic shift in the field of natural resource preservation. Economies and organizations are endeavoring to operationalize circular economy; however, a supportive ecosystem is essential for the operationalization of circular economy, and an innovation mindset is necessary for the sustainability of circular economy. This research work considers innovation as the research object and the realization of circular economy as the goal, considering the multi-perspective coupling and coordination degree from the perspective of choreography governance. A conceptual framework is proposed for the circular innovation ecosystem which integrates five components of circular innovation ecosystem (actors, value focus, artifacts, resource infrastructure and choreography). The framework highlights the importance of the knowledge management platform and co-innovation platform for innovation in circular economy. This study makes the first attempt to understand circular economy ecosystem at meso-level and amalgamates two fields of study, namely circular economy ecosystem and innovation ecosystem, that ensures the sustainability of circular economy. This conceptual tool enhances circular advances and will aid researchers, organizations and policymakers to understand the nuances of circular innovation ecosystem. Furthermore, it will aid organizations and economies to create strategic tools to create a supportive ecosystem for sustainability of circular economy.