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1 – 10 of 169The real estate market has evolved significantly over the past 10 years and has experienced rapid growth throughout the world in its various forms. Many emerging countries…
Abstract
The real estate market has evolved significantly over the past 10 years and has experienced rapid growth throughout the world in its various forms. Many emerging countries witnessed the significant growth in their commercial real estate markets that became a stable sector of their economies. These countries, after developing a reliable commercial real estate base within their economies subsequently developed real estate financial markets. The growth of the real estate investment trusts, REITs, markets in many countries within the past decade helped attract global capital that facilitated additional investments in local real estate developments. Significantly, this period of time may have witnessed a higher degree of integration of real estate with the broader financial markets due in large part to the securitization of mortgages. Yet the general real estate market was also impacted in many parts of the world with rising prices and subsequent price collapses. This section focuses on the various areas of the global real estate market and the changes that it has encountered as examined by researchers of real estate. This chapter also examines the recent trends in global real estate markets and explores how these changes have affected the broader investment community.
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Juliana A. Kitsai, Nadezhda V. Miroshnichenko, Irina A. Morozova and Tatyana B. Leybert
To discover the key elements of the use of the mechanism of public–private partnership for sustainable development, which are studied using the game approach.
Abstract
Purpose
To discover the key elements of the use of the mechanism of public–private partnership for sustainable development, which are studied using the game approach.
Design/Methodology/Approach
Employed methods were as follows: trends method, regression analysis method, and game situation analysis method.
Findings
We discovered the key elements of the use of the mechanism of public–private partnership for sustainable development and determined the trends of the dependence of the sustainable development level on the mechanism of a public–private partnership at the level of countries that are leaders in this form of interaction (Denmark, Netherlands, Singapore, China, Switzerland and Finland). We reveal a positive dependence of the influence with China in 2017–2018 and with Finland in 2020–2021. The characteristics and strategies of implementing public–private partnerships are determined, and the spheres of influence of this form of interaction within the indicator of sustainable development are distinguished. We evaluate the perspectives of sustainable development under the influence of the public–private partnership mechanism. Based on the analysis results, it has been revealed that achievement of direct relation between the improved indicator of implementing the public–private partnership mechanisms and sustainable development could be realised within the orientation towards the effective strategic management of the interaction.
Originality/Value
The scientific novelty of this research consists in the development of the theoretical and practical specifics of the use of the public–private partnership mechanism for sustainable development which determined using the game approach.
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Rahul Kumar, Soumya Guha Deb and Shubhadeep Mukherjee
Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy…
Abstract
Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.
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A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and…
Abstract
A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and establish an innovative and safe solution that prevents unauthorised intrusions for defending various components of cybersecurity. We present a survey of recent Intrusion Detection Systems (IDS) in detecting zero-day vulnerabilities based on the following dimensions: types of cyber-attacks, datasets used and kinds of network detection systems.
Purpose: The study focuses on presenting an exhaustive review on the effectiveness of the recent IDS with respect to zero-day vulnerabilities.
Methodology: Systematic exploration was done at the IEEE, Elsevier, Springer, RAID, ESCORICS, Google Scholar, and other relevant platforms of studies published in English between 2015 and 2021 using keywords and combinations of relevant terms.
Findings: It is possible to train IDS for zero-day attacks. The existing IDS have strengths that make them capable of effective detection against zero-day attacks. However, they display certain limitations that reduce their credibility. Novel strategies like deep learning, machine learning, fuzzing technique, runtime verification technique, and Hidden Markov Models can be used to design IDS to detect malicious traffic.
Implication: This paper explored and highlighted the advantages and limitations of existing IDS enabling the selection of best possible IDS to protect the system. Moreover, the comparison between signature-based and anomaly-based IDS exemplifies that one viable approach to accurately detect the zero-day vulnerabilities would be the integration of hybrid mechanism.
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Putting this volume together of this type took a team effort from many individuals who have given of their time and talent. I would really like to express my thanks to all who…
Abstract
Putting this volume together of this type took a team effort from many individuals who have given of their time and talent. I would really like to express my thanks to all who reviewed chapters for this volume: Mary Lu Love Early Childhood Services at ICI; Nancy Crowell, Georgetown University; Xuejin (Kim) Lu, Children's Services Council of Palm Beach County, FL; Jianping Shen, Western Michigan University; Xin Ma, University of Kentucky; Maria Magdalena Aguilar-Crandall, Brownsville Independent School District; Stuart Reifel, University of Texas at Austin; Deborah Wisneski, University of Wisconsin Milwaukee; Amye Warren, The University of Tennessee at Chattanooga; Sarah Jo Sandefur, University of Tennessee at Chattanooga; and Shira Peterson, Children's Institute. My colleagues here at the University of Texas Brownsville, Renee Rubin, Vejoya Viren, Jaime Garcia, and Ana Laura Rodriguez-Garcia were also of great assistance in reviewing articles.
Virginie Le Masson and Krishnan Nair
Ladakh is an isolated arid environment in the Western Himalayas whose population relies mainly on glacial melt water. If the predicted adverse impacts of climate change occur…
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Ladakh is an isolated arid environment in the Western Himalayas whose population relies mainly on glacial melt water. If the predicted adverse impacts of climate change occur, rising temperatures would accelerate the retreat of glaciers and place immense stress on the traditional Ladakhi agriculture and way of life. Very few studies in hydrology and glaciology currently document physical processes happening in Ladakh and only one project has combined climate data based upon measurements of temperature and precipitation, collected by the Indian Air Force in Leh town, and perceptions of local communities in order to explore the potential impacts of climate change in the area. This information constitutes the basis for climate change-related interventions of nongovernmental organizations (NGOs), both local and international, and could help inform any future climate modeling. However, the quality of this data can be questioned on several points, it terms of accuracy, availability and, most importantly, usefulness. Moreover, this chapter discusses the relevance of this kind of data when the focus is placed upon the adaptation of local communities to global environmental changes where climate change may not be the primary cause. For instance, the region is also currently undergoing a rapid transition from subsistence farming to a market-based economy due to the integration of Ladakh into India and the growing influx of tourism. When addressing the broader context of environmental change, reliable, accurate, and available climate data and models could be useful only if used as part of a holistic approach. This approach requires research and interventions to combine scientific information with local knowledge and perceptions about the impacts of climate change to root the physical data in a “real world” context. It must also acknowledge other drivers of environmental changes such as unsustainable development.
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Due to greater returns to high skill and desirable amenities, high-skilled workers are increasingly agglomerating in metropolitan areas and form path dependence. This chapter…
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Due to greater returns to high skill and desirable amenities, high-skilled workers are increasingly agglomerating in metropolitan areas and form path dependence. This chapter explores whether the land supply policy of China constraining big cities' urban construction land quota strengthens the spatial divergence of human capital. Using city-level land supply data, population census data, and land transaction micro data, we find that the higher the degree of a city's land supply lagging behind land demand, the greater the enlargement effect of the initial share of population with college degrees on the increase in share of population with college degrees. Further research reveals that the main mechanism causing this phenomenon is the rapidly rising housing prices hindering low-skill labor flows to big cities.
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Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior…
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Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.
Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.
TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.
The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.
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