This paper aims to move the research field on sustainable careers forward by building conceptual clarity about what a sustainable career means and delineating what distinguishes sustainable from ...non-sustainable careers, thereby providing key indicators of a sustainable career. Moreover, we approach sustainable careers from a systemic and dynamic perspective and address influential factors associated with stakeholders situated in multiple contexts and evolving over time. We elaborate on core theoretical frameworks useful for enhancing our understanding of what makes careers sustainable and present three key dimensions that can help to analyze and study sustainable careers: person, context, and time. Finally, we propose a research agenda that we hope will spur scholars to examine the topic in more detail in future empirical work.
•Sustainable careers can be described in terms of happiness, health, and productivity.•Three key dimensions are useful to study sustainable careers: person, context and time.•Insights from core theoretical frameworks add to understanding sustainable careers.
Religion is alive and well in the modern world, and the social-scientific study of religion is undergoing a renaissance. For much of this century, respected social theorists predicted the death of ...religion as inevitable consequence of science, education, and modern economics. But they were wrong.Stark and Bainbridge set out to explain the survival of religion. Using information derived from numerous surveys, censuses, historical case studies, and ethnographic field expeditions, they chart the full sweep of contemporary religion from the traditional denominations to the most fervent cults. This wealth of information is located within a coherent theoretical framework that examines religion as a social response to human needs, both the general needs shared by all and the desires specific to those who are denied the economic rewards or prestige enjoyed by the privileged. By explaining the forms taken by religions today, Stark and Bainbridge allow us to understand its persistence in a secular age and its prospects for the future,
Online disinformation is considered a major challenge for modern democracies. It is widely understood as misleading content produced to generate profits, pursue political goals, or maliciously ...deceive. Our starting point is the assumption that some countries are more resilient to online disinformation than others. To understand what conditions influence this resilience, we choose a comparative cross-national approach. In the first step, we develop a theoretical framework that presents these country conditions as theoretical dimensions. In the second step, we translate the dimensions into quantifiable indicators that allow us to measure their significance on a comparative cross-country basis. In the third part of the study, we empirically examine eighteen Western democracies. A cluster analysis yields three country groups: one group with high resilience to online disinformation (including the Northern European systems, for instance) and two country groups with low resilience (including the polarized Southern European countries and the United States). In the final part, we discuss the heuristic value of the framework for comparative political communication research in the age of information pollution.
•A new theoretical framework of blockchain technology adoption is presented.•We employed a mixed-methodology for blockchain technology adoption.•Studies how the volatility of technology impacts ...organisational adoption decisions.•A scale is built to assess an organisation’s perception of technology’s volatility.
This study examines the factors influencing blockchain’s adoption intention as a whole, relying on an organisational perspective and the Technology-Organisation-Environment Framework (TOE). To organise and investigate the factors and to study blockchain technology adoption intention, this research employs a mixed-methodology. After an extended literature review, first, a qualitative approach is used to discover the factors from primary data collected from 25 interviews. Second, a quantitative survey is employed directly relating the factors to blockchain adoption intention and empirically testing them with 146 employees from 71 North American organisations. A total of 15 factors are discovered, seven are tested, and six are significant. In particular, the technology factors perceived interoperability and perceived data quality have a positive impact upon blockchain adoption intention, while the effect is negative for perceived technological volatility, regulatory uncertainty, standardisation uncertainty and the perceived lack of technological knowledge.
•25 theories/models guiding 55 social media addiction (SMA) studies are reviewed.•Perspectives and constructs explaining the development of SMA are discussed.•Limitations of those theories/models and ...future research areas are presented.
With the increasing use of social media, the addictive use of this new technology also grows. Previous studies found that addictive social media use is associated with negative consequences such as reduced productivity, unhealthy social relationships, and reduced life-satisfaction. However, a holistic theoretical understanding of how social media addiction develops is still lacking, which impedes practical research that aims at designing educational and other intervention programs to prevent social media addiction. In this study, we reviewed 25 distinct theories/models that guided the research design of 55 empirical studies of social media addiction to identify theoretical perspectives and constructs that have been examined to explain the development of social media addiction. Limitations of the existing theoretical frameworks were identified, and future research areas are proposed.
•A theoretical framework considering hypothesis-margin is derived to guide the selection of weight functions.•a more effective supervised discriminant graph embedding-based dimensionality reduction ...method is introduced.
Graph embedding-based discriminative dimensionality reduction has remained to be a popular research topic over the past few decades. The weight functions in adjacent graphs are the key to the performance of methods. In practice, the weight functions are always achieved experimentally. Thus far, the selection of effective weight functions has no any theoretical guidance. A theoretical framework considering hypothesis-margin is derived in this study to guide the selection of weight functions, whose truth is verified in a popular algorithm and a more effective supervised discriminant graph embedding-based dimensionality reduction method is introduced. Many experimental results demonstrate the truth of the proposed theoretical framework and the effectiveness of the introduced method. Importantly, the proposed framework can provide theoretical support for the selection of weight functions in the graph embedding-based dimensionality reduction.
With the continuous development of urbanization, and increasing uncertainties and risks, resilience has become an important criterion for urban safety. As a dynamic and open spatial system, the urban ...system presents typical complex features. Thus, the understanding of urban resilience from the perspective of complex systems theory is helpful to achieve a full understanding of the composition and functioning mechanism of urban systems, and to then improve the scientific nature of urban system cognition and research. In this article, the literature on urban resilience is first reviewed, and it is found that the related research on resilience assessment has yielded some assessment methods. Then, based on complex adaptive systems (CAS) theory and combined with its seven basic characteristics, the basic characteristics of complex urban systems are summarized from the perspective of the principle of the urban system action mechanism. On this basis, a framework of complex urban systems is constructed from three aspects, namely the system environment, system elements and system structure, and the assessment methods of the urban system resilience for each aspect are explored. This study not only expands the research on urban system resilience assessment, but also provides a reference for urban safety development and resilience improvement.
•Combining the basic characteristics of CAS theory, the basic characteristics of complex urban system are summarized.•From the perspective of systems’ compositions, the compositions and mechanisms of complex urban systems are presented.•Methods are proposed for assessing the resilience of urban system from three aspects.
Since 2007, persistent green tides in the Yellow Sea of China (YSC) have inflicted substantial economic and social losses. In response, the Chinese government has enacted various policies to mitigate ...these impacts. This study introduced an evolutionary-multiple streams framework and employed Social Network Analysis (SNA) and Text Analysis from 2007 to 2023, tracing three phases of policy development: growth (2007–2012), stability (2013–2017), and explosion (2018–2023). Findings indicated that during the growth phase, the most of the policy themes were “monitoring” and “emergency”; in the stability phase, policy issuance by provincial and municipal agencies began to increase; in the explosion phase, a basic consensus was reached on source control and intergovernmental cooperation in the management of green tides. Themes such as “ecology”, “extreme weather”, and “green tide exploitation” have been emphasized. This analysis provides insights for future policy formulation in green tide control and broader marine environmental governance.
•An evolutionary-multiple streams framework is applied to analyze green tide policies.•Policymakers are increasingly valuing ecological protection and resource utilization.•The study serves as a crucial reference for advancing green tide control measures.
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