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PurposeThe current study aims to structure the existing knowledge about organizational agility from the information systems (IS) capabilities view and synthesizes how agility is enabled by big data analytics (BDA).Design/methodology/approachThis study performs a systematic literature review with the lens of IS capabilities view and provides an integrative framework that represents how BDA improves organizational agility through the mediation of IS capabilities.FindingsThis systematic literature review synthesizes what is known and identifies what remains to be further studied with a focus on the relationship between BDA competency and organizational agility, which contributes to academic performance in BDA and agility research communities.Originality/valueDespite a growing body of literature on the relationship between BDA and agility, a consolidated and systematic understanding of how BDA can enable organizational agility is generally missing. Therefore, the current study addresses this gap by proposing an integrative framework that elucidates the processes in which BDA competency leads to agility through the mediation of IS capabilities.

In the last four decades, the Strategic Triangle concept has established itself as an eclectic theoretical framework in the research domain of triangular analysis. As international politics has evolved, the literature on Strategic Triangle has followed suit. Specifically, it appears that scholars have succeeded in transcending beyond the 'traditional' regional setting and conceptualisation by testing existing theoretical assumptions, developing new models and offering new insights into the dynamics of triangular relationships. Against this background, this contribution primarily aims to provide a state-of-the-art, comprehensive overview of the scholarly literature on Strategic Triangles. This article also seeks to illustrate the existing room for further engagement and analysis of triangular relationships by offering concrete recommendations on how researchers could further develop the Strategic Triangle concept.

AbstractIn order to meet the strategic goals of carbon peak and carbon neutralization on schedule, it is crucial to examine the effects and limitations of green finance on the green transformation of industry. This research utilizes the entropy method, the Global Malmquist–Luenberger technique, and panel data of 30 provinces in China from 2005 to 2018 to estimate the extent of industrial green transformation and green finance development in each province. It builds static and dynamic panel models to experimentally examine the effect of green finance on industrial green transformation. After introducing environmental regulation (ER), this paper presents how ER influences the link between green finance and industrial green transformation. The research finds the following. (1) According to geographical differences in the growth of green finance and industrial green transformation, the economically developed east region is more advanced than the central and west regions, and the central region is more advanced than the west region. (2) Green finance has a significantly positive impact on industrial green transformation, and this positive influence has certain continuity and inertia. (3) Environmental regulation has a favorable impact on the link between green finance and industrial green transformation; specifically, a rise in the level of environmental regulation stimulates the process of green finance that boosts industrial green transformation. The policy recommendations herein offer reference for the construction of China's green financial system and the promotion of industrial green transformation for CSR.

AbstractThe economic impacts of pandemics can be enormous. However, lockdown and human mobility restrictions are effective policies for containing the spread of the disease. This study proposes a framework for assessing the economic impact of varying degrees of movement restrictions and examines the effectiveness of this framework in a case study examining COVID‐19 control measures in Japan. First, mobile network operators data and total employment statistics on a 500‐meter grid scale are used to determine the status of mobility restrictions and impacts on consumption in 30 industrial sectors. Next, the economic impacts are assessed using a spatial computable general equilibrium (CGE) model, proven to yield valuable insights into the total economic impacts of natural disasters. In sectors that implement telework and e‐commerce—wholesale/retail, finance/insurance, and communication sectors—estimates of production and GDP are obtained that are close to the actual figures. The current case study is limited to Japan, but similar analysis can be conducted by using the CGE model for each country and open mobility data. Thus, the framework has potential to serve as an effective tool for assessing trade‐offs between infection risks and economic impacts to inform policy‐making by combining with findings from epidemiology.

Abstract
To tackle the spread of COVID-19 since its outbreak in January 2020, the police have been given additional powers in Taiwan. Studies have consistently revealed that police legitimacy, the belief that the police are trustworthy and allowed to exercise their authority to maintain order, is the main factor determining whether people are willing to cooperate with the police and comply with laws. This paper explores police legitimacy in Taiwan in terms of whether it exists and whether the Taiwanese police have built or damaged their legitimacy during the unprecedented challenges presented by the COVID-19 pandemic. Using the relevant literature, historical events, public opinion survey results, and official crime data, we find that police legitimacy existed before and has continued to exist during the pandemic in Taiwan.

Previous studies have emphasised mainly the competitive relationship and the resistance of host governments to the expansion of foreign firms in the film industry. Adopting the competitiveness approach, this article, by contrast, analyses how internationalisation has enhanced the competitiveness of China's film industry. It shows that Chinese filmmakers leverage Hollywood's resources via three channels of internationalisation—trade, foreign direct investment and international co-productions. The enhanced competitiveness of China's film industry serves as the foundation for its bargaining power vis-à-vis Hollywood, enabling China to respond more effectively to Hollywood's expansion into its film market. However, the Chinese government's recent tightening of censorship on film production has negatively affected the sustainable relationship between China and Hollywood and hinders China's pursuit of achieving global appeal for Chinese films. (China / GIGA)

We present and analyze a database of 1.13 million public Instagram posts during the Black Lives Matter protests of 2020, which erupted in response to George Floyd's public murder by police on May 25. Our aim is to understand the growing role of visual media, focusing on a) the emergent opinion leaders and b) the subsequent press concerns regarding frames of legitimacy. We perform a comprehensive view of the spatial (where) and temporal (when) dynamics, the visual and textual content (what), and the user communities (who) that drove the social movement on Instagram. Results reveal the emergence of non-institutional opinion leaders such as meme groups, independent journalists, and fashion magazines, which contrasts with the institutionally reinforcing nature of Twitter. Visual analysis of 1.69 million photos show symbols of injustice are the most viral coverage, and moreover, actual protest coverage is framed positively, in contrast with combatant frames traditionally found from legacy media. Together, these factors helped facilitate the online movement through three phases, culminating with online international solidarity in #BlackOutTuesday. Through this case study, we demonstrate the precarious nature of protest journalism, and how content creators, journalists, and everyday users co-evolved with social media to shape one of America's largest-ever human rights movements.

AbstractEthical considerations are the fabric of society, and they foster cooperation, help, and sacrifice for the greater good. Advances in AI create a greater need to examine ethical considerations involving the development and implementation of such systems. Integrating ethics into artificial intelligence-based programs is crucial for preventing negative outcomes, such as privacy breaches and biased decision making. Human–AI teaming (HAIT) presents additional challenges, as the ethical principles and moral theories that provide justification for them are not yet computable by machines. To that effect, models of human judgments and decision making, such as the agent-deed-consequence (ADC) model, will be crucial to inform the ethical guidance functions in AI team mates and to clarify how and why humans (dis)trust machines. The current paper will examine the ADC model as it is applied to the context of HAIT, and the challenges associated with the use of human-centric ethical considerations when applied to an AI context.