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Consequence prediction is an emerging topic in safety management concerning the severity outcome of accidents. In practical applications, it is usually implemented through supervised learning methods; however, the evaluation of classification results remains a challenge. The previous studies mostly adopted simplex evaluation based on empirical and quantitative assessment strategies. This paper aims to shed new light on the comprehensive evaluation and comparison of diverse classification methods through visualization, clustering and ranking techniques.

An empirical study is conducted using 9 state-of-the-art classification methods on a real-world data set of 653 construction accidents in China for predicting the consequence with respect to 39 carefully featured factors and accident type. The proposed comprehensive evaluation enriches the interpretation of classification results from different perspectives. Furthermore, the critical factors leading to severe construction accidents are identified by analyzing the coefficients of a logistic regression model.

This paper identifies the critical factors that significantly influence the consequence of construction accidents, which include accident type (particularly collapse), improper accident reporting and handling (E21), inadequate supervision engineers (O41), no special safety department (O11), delayed or low-quality drawings (T11), unqualified contractor (C21), schedule pressure (C11), multi-level subcontracting (C22), lacking safety examination (S22), improper operation of mechanical equipment (R11) and improper construction procedure arrangement (T21). The prediction models and findings of critical factors help make safety intervention measures in a targeted way and enhance the experience of safety professionals in the construction industry.

The empirical study using some well-known classification methods for forecasting the consequences of construction accidents provides some evidence for the comprehensive evaluation of multiple classifiers. These techniques can be used jointly with other evaluation approaches for a comprehensive understanding of the classification algorithms. Despite the limitation of specific methods used in the study, the presented methodology can be configured with other classification methods and performance metrics and even applied to other decision-making problems such as clustering.

This study sheds new light on the comprehensive comparison and evaluation of classification results through visualization, clustering and ranking techniques using an empirical study of consequence prediction of construction accidents. The relevance of construction accident type is discussed with the severity of accidents. The critical factors influencing the accident consequence are identified for the sake of taking prevention measures for risk reduction. The proposed method can be applied to other decision-making tasks where the evaluation is involved as an important component.

In literature, it is recognized that there is no universal set of critical success factors (CSFs) applicable to all projects. The goal of this research is to validate a theoretical model which considers that CSFs’ influence on project success (PS) is configurational, that CSFs combine to influence PS.

The authors proposed a theoretical framework which operationalizes CSFs considering contingency and institutional theories' terms, as external contingencies, organizational resources and project strategies, which influence PS. The framework is validated through a qualitative approach on 18 social projects implemented by nongovernmental organizations (NGOs). Based on the conducted semistructured interviews with NGO managers or project managers, 91 instances when CSFs combine to influence PS were identified.

The dominant path reveals the combination of CSFs in terms of strategies adopted to face contingencies (70 instances), another as resources which moderate managers' strategies (14 instances), and in seven instances positive contingencies and resources combine and influence the PS. The results reveal that CSFs combine in reactive and dynamic ways to influence PS.

The research contributes to the vast literature on projects' success by adopting a different perspective. Configurational theory explains project management and projects' complexity better than the traditional approaches, which have a rather correlational perspective.

Researchers have worked diligently to find the factors that foster organizational trust, but the causal relationships between the enablers of organizational trust have remained unexplored. Therefore, the purpose of this study is to map and analyze the causal link structures of organizational trust enablers.

Data were gathered from employees working in Indian manufacturing organizations. The decision-making trial and evaluation laboratory (DEMATEL) approach was used to test the cause-and-effect linkages among organizational trust enablers.

The empirical evidence shows that 6 out of 14 enablers are causal, namely, organizational justice, person–organization fit, corporate citizenship, positive leadership behavior, relational quality and job satisfaction.

The findings of the study offer a deeper understanding of identified enablers of organizational trust and their linkages with other outcome enablers. Furthermore, the findings provided in the current study will assist top authorities, practitioners and HR managers in focusing on the select causal organizational trust enablers. In addition, the ranking established in this study will help organizations in directing their efforts and resources toward the few select enablers that help to facilitate other consequent enablers of organizational trust. In other words, the results of the study would help in gaining the advantages of efficiency in fostering trust at work.

By providing the empirically valid causal framework of organizational trust enablers, the present study makes a novel contribution to the field. Also, the findings of this study would help organizational policymakers, HR managers and organizational behavior practitioners in developing a better understanding of inculcating trust at work. Furthermore, the use of these enablers will help to foster a trustworthy environment at work.

The purpose of this study is to develop the dictionary with grammar and multiword structure has to be used in conjunction with sentiment analysis to investigate the relationship between financial news and stock market volatility.

An algorithm has been developed for calculating the sentiment orientation and score of data with added information, and the results of calculation have been integrated to construct an empirical model for calculating stock market volatility.

The experimental results reveal a statistically significant relationship between financial news and stock market volatility. Moreover, positive (negative) news is found to be positively (negatively) correlated with positive stock returns, and the score of added information of the news is positively correlated with stock returns. Model verification and stock market volatility predictions are verified over four time periods (monthly, quarterly, semiannually and annually). The results show that the prediction accuracy of the models approaches 66% and stock market volatility with a particular trend-predicting effect in specific periods by using moving window evaluation.

Only one news source is used and the research period is only two years; thus, future studies should incorporate several data sources and use a longer period to conduct a more in-depth analysis.

Understanding trends in stock market volatility can decrease risk and increase profit from investment. Therefore, individuals or businesses can feasibly engage in investment activities for profit by understanding volatility trends in capital markets.

The ability to exploit textual information could potentially increase the quality of the data. Few scholars have applied sentiment analysis in investigating interdisciplinary topics that cover information management technology, accounting and finance. Furthermore, few studies have provided support for structured and unstructured data. In this paper, the efficiency of providing the algorithm, the model and the trend in stock market volatility has been demonstrated.

The purpose of this paper is to review policy or guidance on the implementation of Section 5(4) written by NHS mental health trusts in England and health boards in Wales.

A Freedom of Information request was submitted to all trusts in England (n=57) and health boards in Wales (n=7) asking them to provide a copy of any policy or guidance on the implementation of Section 5(4). Documents were analysed using content analysis. Specific attention was given to any deviations from the national Mental Health Act Codes of Practice.

In total, 41 (67.2 per cent) organisations had a policy on the implementation of Section 5(4). There was a high level of consistency between local guidance and the Mental Health Act Codes of Practice. There were however; different interpretations of the guidance and errors that could lead to misuse of the section. Some policies contained useful guidance that could be adopted by future versions of the national Codes of Practice.

The research has demonstrated the value of examining the relationship between national and local guidance. Further research should be undertaken on the frequency and reasons for any reuse of the section.

Greater attention should be given to considering the necessity of local policy, given the existence of national Codes of Practice.

This is the only research examining the policy framework for the implementation of Section 5(4).

Malaysia is considered to be a relatively young country as compared to other older countries such as Japan, China and Australia in terms of the ageing population. However, until 2035, Malaysia will be in the ageing group countries as 15% of the entire population will be above 60 years of age. This situation is quite alarming as more and more ageing care centres will be required to fulfill the ongoing demands of the ageing population. The elderly care centres in Malaysia are categorised as public (sponsored by the government), private, and charity based that comes under religious centres. Currently, there are about 365 registered elderly care centres working in the main states of Malaysia, including Sabah and Sarawak, two states of the East Malaysia. Due to the importance of ageing population issues, the present study is conducted to explore the demographics facet of Malaysian’s elderly care centres. The main reason behind that lies on the fact that many of these centres are still labelled as being not well equipped and lacking behind in trained staff, equipment and also suffering from severe financial constraints but some still capable of working on a sustainability basis.

Qualitative Research Strategy has been adopted, and 28 centres throughout Malaysia are included in this study. About 18 Operators from different centres and 15 caregivers were interviewed to get the holistic view of ageing care and facilities in their respective centres.

The results highlight that the majority of centres are not receiving any financial help from the government, and few centres are doing small business such as supplying consumable medical and non-medical items and providing renting and rehabilitation centres facilities to sustain. The caregivers are facing issues such as excess workload, less salary, peer conflicts and non-cooperative centre leadership.

The present study may help to provide useful information to the policymakers, which enables them to formulate the strategies for ageing care centres in Malaysia. As this study provides insight of components that have an impact on the overall wellbeing of elderly care centres, hence, it could help the care services providers to act as a rising star for Malaysian’s social life comfort.

India started economic reforms at a rapid pace to catch up the world economy by following the services-led-growth model during the post-liberalisation period. Over the years, the growing unemployment rate posits a re-look into the dynamics of growth model for wider work force participation. In this backdrop, the paper aims to examine the dynamics of structural changes in employment pattern in view of economic growth led by services-led growth model in India.

The study employs a non-linear autoregressive model (NARDL) to examine the effect of the growth rates in three broad economic sectors namely agriculture and allied, services and industry on work force participation representing the employment opportunities in India.

The results highlight that the rapid expansion of the service sector has not occurred with enough employment opportunities by the same rate. By contrast, the growth in the industrial sector significantly creates employment opportunities in the short and long run. These results support the industry led growth model over the services for sustainable and inclusive economic growth in the country.

The study relies on combined labour force participation rates rather than gender-specific rates. Further, the regulatory, working conditions and economic incentives may affect the gender-specific engagement of the labour force in three broad sectors.

The results offer important insight into changing patterns in employment with policy lessons. A wider workforce force participation calls for expansion of manufacturing activities through pro-industry programmes.

The study makes pioneer efforts to examine the dynamics of labour force participation with respect to the growth of three broad economic sectors of the Indian economy. The results provide new insights with policy implications for the changing employment pattern and policy response.

The purpose of this chapter is to evaluate the completeness and substantiation of the indicators of implementation of measures on information society’s formation in the conditions of information war and economic sanctions from foreign countries, and to assess the dynamics of indicators and their achievability according to the plans of state development.

The adequately selected list of target indicators will determine the future national policy regarding the process of informatization in all spheres of national economy. Moreover, the indicators set at the stage of planning of national events will signal the correspondence of the obtained result to the planned result.

The research applies the methods of graphic presentation of information, trend analysis, method of comparison, analogy, and systematization.

According to the peculiarities of the information economy’s optimization model, the main indicators of implementing of measures for the formation of information society are: index of development of information technologies; share of citizens who received state and municipal services online; share of the population that do not use the internet; level of differentiation of the subjects of the RF regarding integral indicators; share of households with access to the internet; number of highly efficient jobs according to the type of economic activities “communication.” Evaluation of implementation of these indicators and their completeness proved the necessity for reconsidering the transfer of the implemented measures and reducing the number of ineffective ones.

The viewed target indicators and evaluation of achievement of these indicators of efficiency of state management of the process of implementing the model could be the basis for future correction of the process of implementation of this program. The used method of analysis could be recommended as the methodological provision of monitoring and control over the implementation of information economy’s optimization model.

The purpose of this chapter is to study perspectives of formation of the optimization model of a well-balanced information economy in modern Russia.

The research methodology includes the complex SWOT analysis of the environment, wherein the optimization model of a well-balanced information economy in modern Russia is implemented; this analysis allows determining threats and possibilities for its formation. Also, the method of formalization is used that allows tablulation of results.

The authors show a number of prerquisites for the formation of a well-balanced information economy in Russia, as well as multiple internal barriers on the path of its development. One of the barriers is deficit of resources. Also, there exist large perspectives of formation of the optimization model of a well-balanced information economy. These perspectives include improvement of legal conditions of financing of development of digital economy, intensive development of the ICT spheres and online business, growth of innovational activity and efficiency in the information sphere, and creation and stimulation of implementing the possibilities for feedback in the course of information economy’s formation. Based on the analyzed tendencies, it is concluded that these perspectives will allow overcoming the major barriers on the path of implementation of the strategy of building the optimization model of a well-balanced information economy in modern Russia, related to deficit of resources, structural imbalance of the noosphere, low efficiency of information, and linear direction of the process of management of information economy.

The authors determine that successful practical implementation of this strategy is largely predetermined by the capability of state regulators for a highly effective management of internal and external factors. It is recommended to pay attention to the management of these factors in the process of practical implementation of the strategy of forming the optimization model of a well-balanced information economy in modern Russia.

The purpose of this chapter is to develop a framework strategy for implementing the optimization model of information economy in modern Russia, aimed at its adaptation to the peculiarities of the Russian economic practice.

The methods of induction, deduction, synthesis, and systemic analysis are used, as along with goal-oriented approaches, such as the method of modeling of socio-economic systems, and the method of formalization.

The authors develop the framework strategy of implementing the optimization model of information economy in modern Russia that takes into account specifics of socio-economic development and informatization of the Russian economic system at the modern stage. This strategy differs from the strategy of formation of an information economy implemented in modern Russia. The most important difference is a wide and comprehensive balance, while the Russian economy is tolerant toward imbalance. The offered strategy allows refusing from copying economic practice implemented by other countries and determining own path of formation and development of information economy. This envisages the Russian treatment of the principles of implementing the innovational model of a well-balanced information economy. This treatment is based on the current possibilities of the Russian economy and on the set goal within the formation of an information economy. Due to this, the possibilities and needs of strategic development of information economy in modern Russia are balanced.

The developed framework strategy of implementing the optimization model of information economy in modern Russia is recommended for usage in the domestic economic practice.