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The study aims to shed light on the concepts most addressed in scientific research, which blockchain topics are of most interest, how relevant are these tools for academia, and how relevant are they?

The authors have developed a bibliometric study of scientific publications on blockchain made since 2016. For the analysis, the VOSViewer software version 1.6.19 has been used, which allows a statistical analysis of scientific publications on the subject.

The study manifest the relevance of Initial Coin Offering, growth of research interest in this field and the relevance of blockchain technology in the development of entrepreneurial projects.

This study provides a complete and updated picture of the scientific research on blockchain for the subsequent transfer of knowledge to the business world.

This study employs an interpretivist approach to investigate how blockchain technology can transform the remittance industry.

We collected data from blockchain experts with extensive experience, compellingly demonstrating the revolutionary impact of blockchain technology on the remittance sector.

Despite experiencing rapid growth, the global remittance sector still faces challenges such as high costs and lengthy transaction times. However, blockchain technology, known for disrupting emerging industries, offers a decentralized and secure mechanism for containing, storing and managing information. By leveraging rapid block confirmations, blockchain reduces settlement times in remittance transactions, enabling value transfers between parties with just a crypto wallet.

The implications of this study are profound for theorists, as it validates existing theoretical frameworks, identifies specific pain points and explores exciting opportunities presented by blockchain technology. Additionally, we provide a roadmap for future research and innovation, bridging theory and practice and setting the stage for advancement, fostering knowledge, innovation and the successful integration of blockchain technology in the remittance industry.

Analysis highlights a unanimous consensus among experts regarding the transformative potential of blockchain technology in the remittance industry. This consensus serves as a strong impetus for practitioners to swiftly adopt blockchain-based solutions, capitalizing on opportunities such as stable coin issuance, elimination of intermediaries in foreign exchange trading, access to liquidity and the exploration of new business models. Successfully addressing challenges like congestion and limited reach will ensure seamless integration.

This research explores how firms manage the complex technologies standardization in action groups. It considers the strategic issues that technology producers face when involving lead users in architecture design. Drawing on the multi-mode standardization literature, this study addresses two dilemmas regarding value creation and appropriation by technology producers within coalitions. The first dilemma is how to create value by developing solutions in compliance with industry standards. The second one is how to appropriate value while ensuring the technology sharing with action groups. The answers to these two dilemmas contribute to filling the research gap on value creation and appropriation in multi-mode standardization.

The research focuses on technology producers participating in action groups where lead users play a crucial role. We conducted a qualitative analysis based on the standardization experience of a Japanese company specializing in smart robotics. Data are collected through semi-structured interviews with key actors. Action groups are defined operationally as a set of stakeholders including competitors of the technology producers, component suppliers, end users, services providers, research centers and academia. The case study is suitable for highlighting specific aspects of the standardization process during its manifestation. It reveals how firms create and appropriate value, providing details about its standardization strategy.

Our findings show that smart robotics standardization is drivn by collaborative models, where the two dilemmas of value creation and appropriation are evident. Firstly, the case revealed that standardization is lead users oriented. Secondly, lead users’ involvement is crucial to customize technologies. Thirdly, the firm’s position is to share a part of the value with the members. The IPR policy is a matter of interest within action groups, since the collaboration is based on open innovation models to share patents and licenses related knowledge.

This research has some limitations attributable to the limited generalizability of the results due to the qualitative analysis. In addition, this study considers the perspective of technology producers, but should also take into account the perspective of both collective actions itself and the lead users. Findings have some implications in the strategy negotiation. Participating in action groups is not enough to ensure a competitive advantage. Involving lead users is of strategic importance to acquire a competitive advantage. Lead users contribute to the producers’ technology design, helping firms to differentiate solutions from the industry standard and create value from customized technologies.

This study helps practitioners understand the competitive side of collective actions, clarifying the value capture and appropriability in standardization. The research provides insights to policymakers and standard development organizations committees when they are called to harmonize standards considering the fallouts on the sector’s competitiveness. Findings suggest appropriate property rights policies to manage the issues related to the value appropriability and technology sharing, recognizing action groups members for their contribution in value creation.

This study shows how firms deal within action groups with the two dilemmas of variety versus technology conformity and property rights versus technology sharing. It fills the research gap in collective actions, emphasizing the perspective of the individual firm in the group rather than the coalition strategy itself. This topic highlights the crucial role of lead users within action groups in managing the two dilemmas, offering a new perspective for understanding critical issues of multi-mode standardization. Reflecting on mechanisms and tools to manage the two dilemmas allows firms to protect their competitive advantage in coalitions.

The purpose of the this study is to discover the impact of practices of knowledge management, intellectual property protection and management innovation on entrepreneurial leadership, which in turn leads to sustainable growth in small and medium-sized enterprises.

The data was collected from 292 small and medium-sized businesses (SMEs) in the USA using a cross-sectional survey. To evaluate the study hypotheses and analyse the data, structural equation modelling was used. SMART-PLS software was used for both confirmatory factor analysis and structural analysis.

The work has significantly contributed in revealing that knowledge management practices, management innovation and intellectual property protection have a substantial and constructive impact on entrepreneurial leadership, which in turn leads to sustainable growth in SMEs.

The study findings recommend that SMEs must focus on knowledge management practices, intellectual property protection and management innovation to nurture entrepreneurial leadership, which can lead to sustainable growth. SMEs can benefit from investing in knowledge management practices, protecting their intellectual property and innovating their management practices to achieve sustainable growth. Also, the absorptive capacity of an SME can help it to aggravate the impact of the above factors and lead them to sustainable growth faster.

The current work studies the association between knowledge management practices, intellectual property protection, management innovation, entrepreneurial leadership and sustainable growth in SMEs, thus contributing to the literature. The study provides insights into the factors that can nurture entrepreneurial leadership and contribute to sustainable growth in SMEs, which can inform policy and practice in the field of entrepreneurship.

This paper aims to discuss recent criticism related to partial least squares structural equation modeling (PLS-SEM).

Using a combination of literature reviews, empirical examples, and simulation evidence, this research demonstrates that critical accounts of PLS-SEM paint an overly negative picture of PLS-SEM’s capabilities.

Criticisms of PLS-SEM often generalize from boundary conditions with little practical relevance to the method’s general performance, and disregard the metrics and analyses (e.g., Type I error assessment) that are important when assessing the method’s efficacy.

We believe the alleged “fallacies” and “untold facts” have already been addressed in prior research and that the discussion should shift toward constructive avenues by exploring future research areas that are relevant to PLS-SEM applications.

All statistical methods, including PLS-SEM, have strengths and weaknesses. Researchers need to consider established guidelines and recent advancements when using the method, especially given the fast pace of developments in the field.

This research addresses criticisms of PLS-SEM and offers researchers, reviewers, and journal editors a more constructive view of its capabilities.

The purpose of this paper is to assess the appropriateness of equal weights estimation (sumscores) and the application of the composite equivalence index (CEI) vis-à-vis differentiated indicator weights produced by partial least squares structural equation modeling (PLS-SEM).

The authors rely on prior literature as well as empirical illustrations and a simulation study to assess the efficacy of equal weights estimation and the CEI.

The results show that the CEI lacks discriminatory power, and its use can lead to major differences in structural model estimates, conceals measurement model issues and almost always leads to inferior out-of-sample predictive accuracy compared to differentiated weights produced by PLS-SEM.

In light of its manifold conceptual and empirical limitations, the authors advise against the use of the CEI. Its adoption and the routine use of equal weights estimation could adversely affect the validity of measurement and structural model results and understate structural model predictive accuracy. Although this study shows that the CEI is an unsuitable metric to decide between equal weights and differentiated weights, it does not propose another means for such a comparison.

The results suggest that researchers and practitioners should prefer differentiated indicator weights such as those produced by PLS-SEM over equal weights.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive assessment of the CEI’s usefulness. The results provide guidance for researchers considering using equal indicator weights instead of PLS-SEM-based weighted indicators.

The purpose of this study is to explore the motivational role of feedback information (positive and negative) provided by the firm in the face of participant heterogeneity, in terms of past success experience, under the research setting of crowdsourcing contests.

Taking insights from feedback studies and the dynamics of self-regulation theory, four theoretical hypotheses are proposed. An integrated dataset of 4,880 contest-participant pairs, which is obtained from an online contest platform and a survey, is empirically analyzed.

Empirical analysis shows that both positive feedback and negative feedback are able to stimulate the inner needs of participants. Notably, negative (positive) feedback becomes more (less) effective in intrinsically motivating crowds as they gain more successful experience during contest participation.

This study brings some new knowledge for the intrinsic motivation of crowds by exploring its antecedents, which have been undervalued in extant literature. The motivational role of feedback information is particularly explored.

Despite their centrality to organizing – acknowledged by several theorists – unplanned conversations are often marginalized in organizational theory. To remedy this oversight, we recenter attention on this understudied aspect of organizing. We draw on the affordances perspective to elaborate on the spatial and temporal factors influencing unplanned conversations.

This conceptual paper integrates multidisciplinary literature on unplanned conversations to identify a range of spatiotemporal factors influencing unplanned conversations. Our approach emphasizes how various situational factors afford or hinder opportunities for unplanned conversations among organizational members.

Unplanned conversations were precisely defined as opportunistic or spontaneous conversations, characterized by the absence of pre-planning, that can be work or non-work-related. Then, the characteristics of unplanned conversations (emergent, episodic and brief, interrelated, convenient, and improvisational) were outlined, indicating their distinct organizing and structuring capabilities. The spatial (i.e. spatial proximity, visibility, legitimacy, and psychological safety) and temporal (i.e. work time pressure, work history, work expertise, and work routineness) factors identified in the study both afford and constrain individuals’ unplanned conversations. The empirically testable propositions offered in the study have significant theoretical and practical implications.

This study enriches our understanding of unplanned conversations by offering a precise conceptual definition, outlining their essential characteristics, and underscoring their theoretical and practical significance in organizing. The study highlights the need for organizations to consider the spatiotemporal factors that influence unplanned conversations.

During everyday work, individuals often engage in unplanned conversations that help them develop relationships, share information and coordinate tasks. Unfortunately, the work-from-home mandates issued due to the pandemic have reduced the frequency of unplanned conversations among employees. So, as businesses reopen, organizations are considering post-pandemic workplace solutions that can facilitate unplanned conversations. To aid these efforts and move research and theory on unplanned conversations forward, this study proposes and tests a multi-factor model of the antecedents of unplanned conversations.

This study adopted a multi-methodological approach and collected data using automated sensing technology, structured observations and cross-sectional survey methods. A total of 5,297 unplanned conversations among 61 employees were recorded using the custom mobile application and structured observations. Cross-sectional survey data about these employees' work contexts were also collected.

The study results showed that the model significantly predicted the frequency of unplanned conversations. Notably, technical expertise, perceived time pressure and team psychological safety significantly predicted the frequency of unplanned conversations. The study findings have both theoretical and practical significance.

Previous research studies have primarily focused on the influence of workplace designs on unplanned conversations. However, this study demonstrates that several other factors facilitate unplanned conversations. This research theorizes and empirically tests the relationship between unplanned conversations and several individual, team and organizational factors.

Wikipedia's inclusive editorial policy permits unrestricted participation, enabling individuals to contribute and disseminate their expertise while drawing upon a multitude of external sources. News media outlets constitute nearly one-third of all citations within Wikipedia. However, embracing such a radically open approach also poses the challenge of the potential introduction of biased content or viewpoints into Wikipedia. The authors conduct an investigation into the integrity of knowledge within Wikipedia, focusing on the dimensions of source political polarization and trustworthiness. Specifically, the authors delve into the conceivable presence of political polarization within the news media citations on Wikipedia, identify the factors that may influence such polarization within the Wikipedia ecosystem and scrutinize the correlation between political polarization in news media sources and the factual reliability of Wikipedia's content.

The authors conduct a descriptive and regression analysis, relying on Wikipedia Citations, a large-scale open dataset of nearly 30 million citations from English Wikipedia. Additionally, this dataset has been augmented with information obtained from the Media Bias Monitor (MBM) and the Media Bias Fact Check (MBFC).

The authors find a moderate yet significant liberal bias in the choice of news media sources across Wikipedia. Furthermore, the authors show that this effect persists when accounting for the factual reliability of the news media.

The results contribute to Wikipedia’s knowledge integrity agenda in suggesting that a systematic effort would help to better map potential biases in Wikipedia and find means to strengthen its neutral point of view policy.