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As a “unicorn” devoted to the rural market, Huitongda has gone through a major evolution since its establish-ment in 2010 from a rural home appliance distributor, a supply chain platform, an O2O service platform to an industry Internet platform of the rural e-commerce ecosystem, based on its deep understanding of the pain points in the rural market and operational experiences. After 2017, as the platform scaled with more vendors, Huitongda was no longer satisfied with selling a single product from urban to rural areas, but was committed to promoting the two-way flow of diverse commodities between urban and rural areas. It also set out to promote employment by entering the rural human resource market, expanding the single-industry O2O service platform to a complete multi-industry ecosystem. In 2018, with a service network covering over 17,000 townships across 20 Chinese provinces, Huitongda's sales reached RMB 35 billion yuan, enabling over 500,000 rural dwellers to start their own businesses or to find employment.

However, the depth, breadth and complexity of the rural industry Internet gradually multiplied, as more member stores joined the business ecosystem with more valuable commodities and services. As a rural industry Internet network owner, how could Huitongda better tap into digitalization in order to support its industry Internet business model and the huge network? How can it further widen the network boundaries to drive more business innovations and maximize network value?

The Sendai framework for disaster risk reduction (DRR) 2015–2030 offers guidelines to reduce disaster losses and further delivers a wake-up call to be conscious of disasters. Its four priorities hinge on science, technology and innovations as critical elements necessary to support the understanding of disasters and the alternatives to countermeasures. However, the changing dynamics of current and new risks highlight the need for existing approaches to keep pace with these changes. This is further relevant as the timeline for the framework enters its mid-point since its inception. Hence, this study reflects on the aspirations of the Sendai framework for DRR through a review of activities conducted in the past years under science, technology and innovations.

Multidimensional secondary datasets are collected and reviewed to give a general insight into the DRR activities of governments and other related agencies over the past years with case examples. The results are then discussed in the context of new global risks and technological advancement.

It becomes evident that GIS and remote sensing embedded technologies are spearheading innovations for DRR across many countries. However, the severity of the Covid-19 pandemic has accelerated innovations that use artificial intelligence-based technologies in diverse ways and has thus become important to risk management. These notwithstanding, the incorporation of science, technology and innovations in DRR faces many challenges. To mitigate some of the challenges, the study proposes reforms to the scope and application of science and technology for DRR, as well as suggests a new framework for risk reduction that harnesses stakeholder collaborations and resource mobilizations.

The approach and proposals made in this study are made in reference to known workable processes and procedures with proven successes. However, contextual differences may affect the suggested approaches.

The study provides alternatives to risk reduction approaches that hinge on practically tested procedures that harness inclusivity attributes deemed significant to the Sendai framework for DRR 2015–2030.

The global cooperation and cooperation between nations at differing stages in anti-money laundering (AML) is critical. To improve the effectiveness of international cooperation in AML, it is essential to diversify international cooperation mechanisms and improve the capacity of law enforcement officers in the field of preventing this crime. This paper aims to provide a comparative analysis of mutual legal assistance (MLA) and extradition within the AML legal framework in Palestine and Malaysia. It investigates the gaps and weaknesses in Palestine’s AML legal framework and offers recommendations to address them.

The present paper is solely legal. The method adopted in this research paper is qualitative research with an emphasis on the doctrinal mechanism. As a result, it concentrates on procedures, protocols, legislation and policies.

The Malaysian AML legal framework offers a clearer and more comprehensive framework for MLAs and extradition than the Palestinian AML legal framework. This framework is supported by laws that meet the basic requirements to support the issues of AML international cooperation. Both countries agree that the absence of a “bilateral or multilateral agreement” is not considered a reason for rejecting international cooperation in the field of AML with foreign countries. Moreover, the Malaysian AML legal framework divides the roles well between the law enforcement agencies and the competent authorities competing to Palestine.

This paper would be beneficial for the Palestinian legislative, policymakers and law enforcement agencies to make international cooperation, especially with MLAs and extradition effective.

It is unclear whether regional rather than global or discipline-focussed preprint platforms as an innovation in the communication of science are removing any of the barriers faced by researchers in the scientific periphery or whether they are increasing access to and visibility of science from the periphery. In response, this paper focusses on the uptake, visibility and academic impact of regional preprint publishing platforms in two peripheral regions (Africa and Latin America) to gain insights into the use and possible impact of regional preprint servers.

Comparative quantitative analysis using bibliometric and altmetric data to compare six preprint servers (two regional, one global and three discipline-specific).

There is evidence of the uptake of regional preprint servers, but the uptake is comparatively modest compared with global and discipline-focussed preprint servers. The academic and social visibility of preprints available on regional preprint servers is comparatively lower when compared to other preprint servers. The preprint server SciELO preprint in comparison to AfricArxiv shows signs of increasing growth and visibility, but more time is required to reach any definitive conclusions.

The research is limited by the short timeframe that the regional preprint servers have existed compared to some of the other preprint servers. The absence of reliable data on the research populations by region or globally by discipline places limits on the comparability of the raw data.

The article provides for the first time a detailed empirical analysis of the contribution of preprint servers targeted at researchers from the scientific periphery to global science.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0153

This study has conducted exploratory research to understand who should comprise the members of a resilient supply chain for promoting an entrepreneurial ecosystem of a startup project and to determine the mechanisms for the balanced coexistence of all stakeholders. This is necessary to ensure mutual benefits for all stakeholders, each of whom has multidimensional interests. Additionally, this supply chain must be able to withstand any potential disruption risks.

This research has employed a mixed-design approach. In this context, the study conducted an extensive qualitative and quantitative investigation, including 30 interviews and a survey involving 180 potential stakeholders in this supply network, respectively in the capital city of Bangladesh, Dhaka. The analysis of the interviews utilized principles of matrix thinking, while structural equation modeling (SEM) through LISREL was employed to understand cause-and-effect relationships.

Network, platform and governance—these three independent constructs have the potential to contribute to the dependent construct, a resilient supply chain, aimed at promoting an entrepreneurial ecosystem for startup projects. It has been revealed that the management of such projects depends on the rules and regulations within the ecosystem. An excellent governance mechanism is essential for this purpose. To facilitate coexistence, the establishment of a platform is crucial, where cooperation among all members is mandatory.

For practitioners, three distinctive but closely interdependent issues are explored and resolved in this philanthropic study. It has unfolded the elements of any startup project with essential settings.

The identification of the structural dynamics of potential stakeholders within the entrepreneurial ecosystem of startups is largely absent in existing literature. Therefore, there is a need to comprehensively investigate the entire network, including their roles, responsibilities and associations. This study makes a significant and novel contribution to the existing literature. Academics and practitioners alike have ample opportunities to learn from this new aspect of relationships across three distinct areas: the entrepreneurial ecosystem, startup projects and the development of a resilient supply chain.

Starting from intention–behaviour models and building upon the growing evidence that aggregated internet search query data represent a good proxy of human interests and intentions. The purpose of this study is to demonstrate that the internet search traffic information related to the selected key terms associated with establishing new businesses, reflects well the dynamics of entrepreneurial activity in a country and can be used for predicting entrepreneurial activity at the national level.

Theoretical framework is based on intention–behaviour models and supported by the knowledge spillover theory of entrepreneurship. Monthly data on new business registration from 2018 to 2021 is derived from the open database of the Russian Federal Tax Service. Terms of internet search interest are identified through interviews with the recent founders of new businesses, whereas the internet search query statistics on the identified terms are obtained from Google Trends and Yandex Wordstat.

The results suggest that aggregated data about web searches related to opening a new business in a country is positively correlated with the dynamics of entrepreneurial activity in the country and, as such, may be useful for predicting the level of that activity.

The results may serve as a starting point for a new approach to measure, monitor and predict entrepreneurial activities in a country and can help in better addressing policymaking issues related to entrepreneurship.

To the best of the authors’ knowledge, this study is original in its approach and results. Building on intention–behaviour models, this study outlines, to the best of the authors’ knowledge, the first usage of big data for analysing the intention–behaviour relationship in entrepreneurship. This study also contributes to the ongoing debate about the value of big data for entrepreneurship research by proposing and demonstrating the credibility of internet search query data as a novel source of quality data in analysing and predicting a country’s entrepreneurial activity.

Starting from the status quo, the paper outlines perspectives and challenges for the connection and interlinking of digitised and digital archival data. The following topics are addressed: Where are fields of action and what are the means of archives? Which functional and technical requirements are to be considered, and what is the role of portal infrastructures linking together various different institutions?

Considering needs of users and general framework conditions, the paper examines new approaches emerging in Germany. It outlines recent projects and considerations aiming to improve services and visibility of archives within the national data infrastructure in Germany.

Cross-connections are no new phenomenon, but change their appearance significantly in a digital context. In this respect, both smaller and bigger archives profit from participation in larger digital networks. Furthermore, archives need to keep in mind to reflect the quality of their digital (meta)data regularly and to offer or join systems that functionally and technically support cross-connection and interlinking of data.

The paper endeavours to show the importance of digital cross-connections and the role of portal infrastructures for visibility, online-distribution and use of digital archival metadata and data.

A secondary research method was used to collect data for this case. The authors have made use of newspaper articles and articles by experts published in the public domain.

This case discusses the dilemma faced by Amazon Prime Video in India regarding content. Amazon Prime Video attained success and rapid growth in India ever since its entry into the Indian over the top (OTT) market in 2016. However, the pursuit of attractive and bold content landed Amazon Prime Video in a legal tangle in India. Amazon Prime Video was accused of hurting the religious and political sentiments of Indians by broadcasting bold shows like Tandaav, Family Man, Mirzapur, Family Man 2, etc. Litigations against Amazon Prime Video were filed in the Indian courts by members of religious and political organizations. Protests and online campaigns on Twitter caught the attention of internet influencers in India. The key dilemma faced by the protagonist in this case is whether to continue streaming attractive content that may be controversial and may occasionally hurt the religious/political sentiments of some Indians or stream only safe content that may be deemed as boring by its young target audience.

Undergraduate and postgraduate students studying marketing management and international business courses in business management and commerce streams can use this case.

The ecosystem concept has attracted attention in information system research to explain business competition, innovation and many other emerging phenomena. Existing studies focus more on a single ecosystem type or a single ecosystem goal and pay little attention to the ecosystem’s evolution. The objective of the study is to investigate the factors that impact the evolution of the information ecosystem (IE) to gain a better understanding of strategic thinking.

The IE involves many actors, so the multi-case study approach is conducted with purposeful sampling to recruit all the significant ecosystem actors. The collected qualitative data are analyzed by coding data, exploring data relationships and structuring pattern steps; institutional theory is used as a theoretical framework.

The results demonstrate that industry practices, laws and regulations, new actors and the mimetic pressure of outsourcers drive the growth of the ecosystem. Strategy intention, cost pressure and normative pressure all contribute to the IE’s evolution.

The concept of ecosystems has attracted attention in information system research. The study investigates the factors contributing to the evolution of the IE from an institutional theory perspective. Our suggestion is that new players can find a niche in offering information technology (IT)/ information services (IS)-related solutions to survive in the ecosystem; however, they need to pay attention to the normative pressure.

The purpose of this study is to create a methodological approach for identifying priority areas for science and technology (S&T) development and its empirical application within the city of Moscow. This research uncovers a wide range of multicultural and multidisciplinary global trends that will affect the development of major cities in an era of complexity and uncertainty, including the inherent complexity of urban contexts, demographic and socioeconomic trends, as well as scientific and ecological factors.

The methodological approach is based on classic foresight instruments. Its novelty lays in the blending of qualitative and quantitative methods specially selected as the most appropriate for the identification of S&T areas in an era of complexity and uncertainty, including horizon scanning, bibliometric analysis, expert surveys and the construction of composite indexes with respect to the scope and resources of the research and the selected object for empirical application – Moscow, which is one of the world’s largest megacities. The analysis was performed for the period of 2009–2018 and expert procedures took place in 2019.

As a result, 25 global trends were identified, evaluated and discussed over the course of an expert survey and subsequent expert events. Ten priority areas of S&T development were determined, including 62 technological sub-areas within them and the most important market niches for all identified technological sub-areas, which could be useful for the world’s megacities. The results of this study are illustrated using the construction sector. Based on the conducted research and results, a list of recommendations on S&T policy measures and instruments were suggested, including the creation of the Moscow Innovation Cluster, which by the end of 2023 contained more than 6,000 projects and initiatives, selected using the findings of this investigation.

This research contributes to the existing literature and research agenda of setting priorities for S&T development and shows how it can be done for a megacity. The blended foresight methodology that was created within the study satisfies the criteria of scientific originality, is repeatable for any interested researcher, is applicable to any other city in the world and demonstrates its high efficiency in empirical application. It could be used for creating new agenda items in S&T policy, setting S&T priorities for a megacity and integrating the results into decision-making processes. This study provides recommendations on the further implementation of the designed methodology and results into a policymaking system. Moreover, the example of the Moscow Innovation Cluster, which was created based on the results of our research, demonstrates these recommendations’ practical significance in real life, which is quite valuable. The limitation of this study is that it is not devoted to urban planning issues directly or the promotion of R&D areas; it is about setting promising S&T priorities in an era of complexity and uncertainty for megacities.