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Topic Review
Smart Libraries
With the rapid development of artificial intelligence (AI) and Internet-of-Things (IoT), thousands of smart devices can be interconnected with each other. A series of innovative concepts have emerged and penetrated into all aspects of human life, e.g., “Smarter Planet”, “Smart City”, “Smart Community”, and “Smart Campus”. As a key and indispensable field, librarianship has become a convenient scenario aided by AI and IoT. Distinctive advanced AI-based approaches applied in libraries include, but are not limited to, natural language processing (NLP), deep learning (DL), recommender systems, machine vision, and smart acquisition.
  • 2.0K
  • 19 Apr 2022
Topic Review Peer Reviewed
Modern Methods of Prediction
Humans have always wanted to know what the future holds in store for them. In earlier centuries, people often sought clues to the future from sacred texts. Today, more secular approaches are increasingly used, although the older approaches to the future persist. Modern methods for prediction include trend extrapolation, the Delphi method, mathematical modeling, and scenario analysis, including backcasting. Extrapolation was only possible when reliable past data became available. The Delphi method relies on the judgement of experts in the subject matter. Mathematical modeling has been very successful in the physical sciences, and, in the form of integrated assessment models (IAMs), has been applied to problems such as assessing future energy use. Scenario analysis looks at a number of possible futures and develops internally consistent story lines around each. It is often used in conjunction with IAMs. Each of the four methods, including both their strengths and weaknesses, are discussed in turn. Finally, this entry looks at the future of prediction, and concludes that despite progress in each of the four approaches treated, predicting the future, never easy, is now harder than ever.
  • 875
  • 28 Apr 2023
Topic Review
Cyberstalking Victimization Model
Cyberstalking is a growing anti-social problem being transformed on a large scale and in various forms. Cyberstalking detection has become increasingly popular in recent years and has technically been investigated by many researchers. However, cyberstalking victimization, an essential part of cyberstalking, has empirically received less attention from the paper community.
  • 858
  • 03 Aug 2021
Topic Review
Causal Loop Diagramming of Socioeconomic Impacts of COVID-19
The complexity, multidimensionality, and persistence of the COVID-19 pandemic have prompted both researchers and policymakers to turn to transdisciplinary methods in dealing with the wickedness of the crisis. While there are increasing calls to use systems thinking to address the intricacy of COVID-19, examples of practical applications of systems thinking are still scarce. We revealed and reviewed eight studies which developed causal loop diagrams (CLDs) to assess the impact of the COVID-19 pandemic on a broader socioeconomic system. We find that major drivers across all studies are the magnitude of the infection spread and government interventions to curb the pandemic, while the most impacted variables are public perception of the pandemic and the risk of infection.
  • 774
  • 23 Nov 2021
Topic Review
Sustainable Employment Relationships in Work 4.0 Era
The working environment has gradually transformed toward Industry 4.0 for the next few decades. Work 4.0 is referred to as Industry 4.0 but with a focus on sustainable employment relationships and the forms of work that has essentially changed due to the transformation of digitalization.
  • 539
  • 01 Nov 2022
Topic Review
Rawlsian Cost-Benefit Analysis
The use of a Rawlsian perspective in cost-benefit analysis is proposed. For the purposes of the cost-benefit analysis, this perspective is at least as adequate as the traditional perspective, of a utilitarian nature.
  • 499
  • 17 Nov 2021
Topic Review
Demographic Factors’ Influence on Regional Productivity Growth
Improving total factor productivity is an important way for China's economy to avoid the middle income trap. Demographic changes are believed to have significant impacts on productivity growth. Analyzing data from China's prefecture administrative units on both 2000 and 2010 provides solid evidence supporting the impact of demographic changes on productivity growth. First, population density plays an important role in both years. There is an inverted U-shaped relationship between population density and productivity growth. Second, human capital stock has a significant positive impact in both years while human capital inequality becomes insignificant in 2010. This is likely a result of China's education equality policies. Third, the impact of the aging of workers and their migration status on productivity growth also changed over the decade. Different cohorts of workers and migrants have had different influences on productivity growth because of their different access to higher education.
  • 489
  • 08 Apr 2022
Topic Review
Causal Model of Global Entrepreneurship Monitor
It is essential to understand the variables that explain and predict the behaviour of starting up a new company in a regional context. Global Entrepreneurship Monitor (GEM) reports have a sufficient theoretical foundation for quality studies in this field. In addition, a valid and reliable causal model is designed that includes all personal and contextual GEM variables. The hypotheses of the proposed model are based on the existing causal relationships in the literature, using GEM data in its formulation. The model is comprehensive and practical because it significantly predicts entrepreneurial behaviour, particularly entrepreneurial intention and action. 
  • 472
  • 07 Mar 2022
Topic Review
MCDM Approach in Steel Industry
Supply chain sustainability, which takes environmental, economic, and social factors into account, was recently recognized as a critical component of the supply chain (SC) management evaluation process and known as a multi-criteria decision-making problem (MCDM) that is heavily influenced by the decision-makers. While some criteria can be analyzed numerically, a large number of qualitative criteria require expert review in linguistic terms.
  • 424
  • 17 Jun 2022
Topic Review
Innovation Pattern Heterogeneity
The firm’s ability to innovate is one of the usual suspects for explaining differences in firm performance according to a strong and diversified theoretical framework. Innovation facilitates the high rate of growth of ‘‘superstars’’ as well as the establishment and continued existence of profitable companies that do not seek to become large enterprises Understanding the diversity that exists within the population of innovative firms is essential for developing appropriate innovation policies. By applying factor analysis to a wide array of survey variables and a large sample of firms, we identified eleven typical approaches to innovation. 
  • 395
  • 24 Mar 2022
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