ABSTRACT Technology-facilitated domestic violence is an emerging issue for social workers and other service providers. The concept of Digital Coercive Control (DCC) is introduced to highlight the particular nature and impacts of technology-facilitated abuse in the context of domestic violence. While practitioners have become more adept at working with women experiencing DCC, there is still little known about its dynamics and whether this violence requires a change in current service responses. This article explores findings from survey research conducted with 546 Australian domestic violence practitioners about the ways perpetrators use technology as part of their abuse tactics. The findings demonstrate that DV practitioners believe perpetrator use of technology is extensive and has significant impacts on the safety of clients. A major dilemma faced by practitioners is how to promote and facilitate client safety from DCC while still enabling safe use of technology so clients can remain connected to family, friends, and community. IMPLICATIONS
The use of digital technology in domestic violence creates a significant practice issue for Australian domestic violence practitioners.
The development of a practice framework for responding to digital coercive control may assist practitioners to highlight the risks posed by this abuse, while still enabling women and children the freedom to participate in the digital realm.
Recent technological advances have enabled the emergence of novel business models based on digital platforms. Marketplace like Airbnb or Uber offer such digital platforms to connect previously unmatched demand-side and supply-side participants through innovative forms of value creation, delivery and capture. While countless firms claim to offer the next ‘Airbnb for X’ or ‘Uber for Y’, we lack knowledge about the defining business model characteristics of these marketplaces. To close the gap, this paper provides a conceptually and empirically grounded taxonomy of their business models. Applying a mixed methods approach, it first develops an integrative framework of marketplace business models. Guided by the framework, the research systematically analyzes 100 randomly selected marketplaces with content analysis and binary coding. The gathered data is analyzed with cluster analysis techniques to develop a taxonomy for marketplace business models. The clustering process reveals six clearly distinguishable types of marketplace business models and thus shows that there is no one-size-fits-all approach to creating, delivering, and capturing value with marketplaces and platforms in general. We characterize these distinctive types on basis of the qualitative and quantitative findings. Among others, we find that two of these types are highly aligned with business model characteristics associated with the so-called sharing economy. The findings are discussed against platform, marketplace, and sharing economy literature to contribute to a higher integration of different literature streams that are concerned with similar organizational types and phenomena. 相似文献
Managing risk in infrastructure systems implies dealing with interdependent physical networks and their relationships with the natural and societal contexts. Computational tools are often used to support operational decisions aimed at improving resilience, whereas economics‐related tools tend to be used to address broader societal and policy issues in infrastructure management. We propose an optimization‐based framework for infrastructure resilience analysis that incorporates organizational and socioeconomic aspects into operational problems, allowing to understand relationships between decisions at the policy level (e.g., regulation) and the technical level (e.g., optimal infrastructure restoration). We focus on three issues that arise when integrating such levels. First, optimal restoration strategies driven by financial and operational factors evolve differently compared to those driven by socioeconomic and humanitarian factors. Second, regulatory aspects have a significant impact on recovery dynamics (e.g., effective recovery is most challenging in societies with weak institutions and regulation, where individual interests may compromise societal well‐being). And third, the decision space (i.e., available actions) in postdisaster phases is strongly determined by predisaster decisions (e.g., resource allocation). The proposed optimization framework addresses these issues by using: (1) parametric analyses to test the influence of operational and socioeconomic factors on optimization outcomes, (2) regulatory constraints to model and assess the cost and benefit (for a variety of actors) of enforcing specific policy‐related conditions for the recovery process, and (3) sensitivity analyses to capture the effect of predisaster decisions on recovery. We illustrate our methodology with an example regarding the recovery of interdependent water, power, and gas networks in Shelby County, TN (USA), with exposure to natural hazards. 相似文献
ABSTRACTCyber-safety behaviors are important in preventing the loss of an individual's digital assets and ensuring the safety of important daily online activities. Individuals’ cyber-safety is also critical for national cybersecurity. The issue is highly relevant for Israel, a country that relies on the digital capabilities of its workers for its major technology industries and is also often a target of cyberwarfare and cybercrime attacks. The purpose of this study is to identify the determinants of cyber-safety behavior. We investigate the role of age, gender and education in the use of safety-related digital skills and antivirus software. Using a 2014 survey of a national sample of Internet users in Israel (N?=?1850), we found that age, gender, education and quality of access are associated with the level of users’ digital security skills. In addition, these skills and the frequency of conducting financial activities online are the main determinants of antivirus behaviors. Our results expand the understanding of cyber-safety by showing that social and digital disparities are reproduced in the use of measures to prevent online threats, putting the digitally disadvantaged at greater risk of becoming victims of online threats. 相似文献
In the contemporary multicentric world, sovereign states have to manage carefully the construction of their image, defining their role and aspirations. With the re-definition of the state centric politics, stories become relevant: communication is a form of power, and networked forms of communication are becoming progressively a way to conquer the transnational public spheres. Through strategic narratives of foreign politics, states try to set up the ‘tales’ of international affairs and foreign strategies, to suggest a world vision, a causal interpretation, determining frames that affect transnational actors’ position in the international environment. Sovereign states develop these kind of frame using tools and theories referred to the commercial branding tradition to promote and support their own policies and identity. We decided to investigate how that process is made through information diffusion on digital platforms.
In this work, it has been analyzed the content presented through Twitter posts by the Foreign Ministries accounts of four different States dissimilar for geopolitical positioning and security concerns (USA; Israel; France; Sweden), for a period of three months (9/1/2015-11/30/2015); leading to the identification of different models and characteristic patterns of self-representation.
The thematic content analysis, based on the identification of macrocategories and micro-issues, has led to the identification of different models and characteristic patterns of self-representation, determined by domestic vicissitudes, and has shown some regularities, caused by the branding vocation of autobiographical online contents. 相似文献
Crowdfunding platforms serve to connect project creators and backers. Previous research has explored several project and platform determinants that impact crowdfunding outcomes. However, there has been limited research on these determinants at an individual level. Our paper addresses how backers may influence the outcomes of projects in crowdfunding platforms. We explore several methods commonly used in the industry to identify influence and show that centrality measures through a backer affiliation network best exemplifies influence. Using data from Kickstarter, we construct a weighted backer network based on 52,678 common projects backed by 11,134 backers. Controlling for digital media mentions and project quality, we find evidence that backers in central positions within the network have a positive impact on multiple project outcomes such as the project success rates, amount of funds raised, speed of reaching the crowdfunding goal as well as the number of backers contributing to the project. These findings are replicated and reinforced by using data from a different crowdfunding platform using the entire backer network based on 1095 projects backed by 87,896 backers. Several robustness tests are used to validate these results. 相似文献