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This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.

Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.

This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.

Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.

Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.

Coastal zone ecological restoration project is of great significance to alleviate marine ecological degradation. Evaluating the effect of coastal ecological restoration projects and identifying the obstacle factors affecting their restoration level can provide an empirical basis for future Marine ecological restoration projects.

However, due to the initial stage of coastal zone ecological restoration projects, the actual monitoring data of coastal zone ecological restoration is relatively lacking. Based on the CRITIC-TOPSIS (combination of CRITIC method and TOPSIS method) method, combined with the subjective perception of the public and the actual data of the restoration project, this paper proposes an evaluation method of the coastal zone ecological restoration effect to obtain the specific implementation effect of the coastal zone ecological restoration project. The main obstacle factors affecting the evaluation of coastal ecological restoration effect are identified by using the obstacle degree model.

This paper conducted an empirical study on the restoration of sandy shoreline and coastal wetland in Qinhuangdao city. Based on the data of restoration projects and the subjective perception of ecological restoration by the public in Qinhuangdao city, the research results showed that the coastal zone ecological restoration effect of Qinhuangdao city was general. The quality of the restoration project and the public perception have an important influence on the evaluation of the restoration effect. Improving the quality of the restoration project, strengthening the public's participation in ecological restoration and allowing the public to better participate in the ecological restoration of the coastal zone can improve the effect of ecological restoration of the coastal zone in an all-round way.

The research results of this paper have a guiding role in the ecological restoration of coastal cities in the future, and also have a demonstration and reference role for the assessment of the effect of ecological restoration of coastal zones.

The purpose of this paper is to identify the most influential buildings elements in term of the cost for timber restoration works.

The research employed the case studies methods with questionnaires surveys. Two case studies were chosen and questionnaire surveys were distributed to contractors and consultation companies. The cost was identified based on the elemental cost analysis of historic timber buildings.

The restoration of historic timber buildings in Malaysia has grown rapidly, especially in the UNESCO world heritage sites, Melaka and Penang. Data obtained on the restorations of timber buildings show that the most influential elements were upper floors, roofs and walls. Termites’ invasions and the lack of building analysis were found to be the major issue in timber restoration works. In addition, the availability of timber material contributed significantly to the increase of cost for restoration works.

The cost for every element was identified and was used as a reference for new restorations projects of historical, timber buildings. This paper also highlighted the causes for the problems and the factors affecting the cost of timber restoration works. These data are useful information, especially for surveyors and contractors who are involved in the restoration of historic timber buildings. Maintaining or replacing these elements with other material can help to minimise the restoration cost of timber buildings in Malaysia.

This research examines the relationship between the timeliness in announcing the discovery of a data breach and consumer trust in an e-commerce company, as well as later trust-rebuilding efforts taken by the company to compensate users impacted by the breach.

A survey experiment was used to examine the effect of both trust-reducing events (announced data breaches) and trust-enhancing events (provision of identity theft protection and credit monitoring) on consumer trust. The timeliness of the breach announcement by an e-commerce company was manipulated between two randomly assigned groups of subjects; one group viewed an announcement of the breach immediately upon its discovery, and the other viewed an announcement made two months after the breach was discovered. Consumer trust was measured before the breach, after the breach was announced, and finally, after the announcement of data protection.

The results suggest that companies that delay a data breach announcement are likely to suffer a larger drop in consumer trust than those that immediately disclose the data breach. The results also suggest that trust can be repaired by providing data protection. However, even after providing identity theft protection and credit monitoring, companies that fail to promptly disclose a breach have lower repaired trust than companies that promptly disclose.

This study contributes to the literature on e-commerce trust by examining how a company's forthrightness in reporting a data breach impacts user trust at the time of the disclosure of the data breach and after subsequent efforts to repair trust.

To make more smart health-care system, the health-care data should be shared in the secure manner, and it improves health-care service quality. This paper aims to implement a modern decentralized blockchain, safe and easy-to-use health-care technology application in the cloud.

On observing the graph, the convergence analysis of proposed Levy Flight-integrated moth flame optimization method at 80th iteration was 4.59%, 2.80%, 3.316%, 8.92% and 2.55% higher than the traditional models MFO, artificial bee colony (ABC), particle swarm optimization (PSO), moth search algorithm (MSA) and glow worm swarm optimization (GWSO), respectively, for Hungarian data set. Particularly, in best case scenario, the adopted method attains low cost value (5.672671) when compared to all other traditional models such as MFO (5.727314), ABC (5.711577), PSO (5.706499), MSA (5.764517) and GWSO (5.723353).

The proposed method achieved effective performance in terms of key sensitivity, sanitization effectiveness, restoration effectiveness, etc.

Delay in the clinical information system (CIS) restoration overseeing critical health-care operations after an unexpected data loss can be fatal for patients under care. Investment in information technology (IT) capabilities and synergy between various computerized systems has been argued as the resilient information system's enablers. The purpose of this study is to empirically quantify the influence of IT investment, integration and interoperability in recovering the CIS from a data disaster.

An archival dataset sourced from a European Commission-sponsored survey of 773 hospitals across 30 countries in Europe is utilized to study the relationships. The study adopts a quasi-experimental research design approach where sample observations are weighted based on their propensity to be selected in treatment groups. The artificial weighing allows attaining a pseudo-random sample to counter the effects of selection bias.

The study finds that hospitals with more than 5% of the budget dedicated to IT have 100% higher odds of recovering immediately from a critical data loss in comparison to those that have less than 1% investment in IT. The greater extent of IT integration significantly reduces the time to recover the CIS, while interoperability problems at the organizational level lessen the odds of immediate recovery by 19%. Interoperability problems at the technical and semantic levels do not significantly impact recovery times of the CIS.

The study proposes several empirically quantified and scientifically tested recommendations for health-care providers for faster restoration of critical CIS operations post data loss. The differential impact of the interoperability problems at the technical, semantic and organizational levels has also been highlighted.

In studying adaptive or self‐organizing cybernetic systems problems arise of choosing an adequate model of the object and truth estimation of some initial data. In mathematical formulation many of these problems are reduced to the estimation of multidimensional system parameters under conditions of incomplete data. A problem is considered of estimation of multidimensional system parameters under conditions of a short sample with omissions. In the case when the data sample can be described by multidimensional normal law of a special type the method of the stated problem solution is suggested and grounded.

This paper aims to describe the cyber-insurance market in Norway but offers conclusions that are interesting to a wider audience.

The study is based on semi-structured interviews with supply-side actors: six general insurance companies, one marine insurance company and two insurance intermediaries.

The Norwegian cyber-insurance market supply-side has grown significantly in the past two years. The General Data Protection Regulation (GDPR) is found to have had a modest effect on the market so far but has been used by the supply-side as an icebreaker to discuss cyber-insurance with customers. The NIS Directive has had little or no impact on the Norwegian cyber-insurance market until now. Informants also indicate that Norway is still the least mature of the four Nordic markets.

Some policy lessons for different stakeholders are identified.

Empirical investigation of cyber-insurance is still rare, and the paper offers original insights on market composition and actor motivations, ambiguity of coverage, the NIS Directive and GDPR.

The emerging and rapidly growing space economy warrants initial analysis from an accounting lens. This article explores accounting's role in entity transactions involving outer space activities by addressing two questions: (1) What accounting challenges exist within a developing space economy? (2) What accounting research opportunities exist to address these challenges?

Background context introduces accounting scholars to the modern space economy and its economic infrastructure, providing insight on entity transactions involving activities in outer space. Detailed discussion and analysis of space accounting challenges and research opportunities reveal potential for a robust, interdisciplinary field in the accounting domain relevant for both practitioner and academic spheres. The article concludes with a summary investigation of the future exploration of accounting for space commerce.

Many accounting challenges and opportunities exist now and in the near future for accounting practitioners and scholars to contribute towards humanity's ambitious plans to achieve a sustained presence on the moon sometime during the 2020s and on Mars in the 2030s. All of accounting's traditional subject-matter domain, as well as sustainability accounting matters, will be relied upon in these efforts. Interdisciplinary inquiries and problem solving will be critical for success, with particular collaboration needs existing between accounting and operations management scholars.

This is the first paper to explore accounting for the burgeoning space economy, and to offer insight and guidance on the development of an emerging accounting subfield: space accounting.

The purpose of this paper is two-fold: to explore the legal issue of the importance of personal data protection in the digital economy sector and to propose a legal framework for personal data protection as a consumer protection strategy and accelerate the digital economy.

This study is legal research. The research approach used was the comparative approach and statute approach. The legal materials used are all regulations regarding personal data protection that apply in Indonesia, Hong Kong and Malaysia. The technique of collecting legal materials is done by using library research techniques.

The value of Indonesia’s digital economy is the biggest in the Southeast Asia region, but data breach is still a big challenge to face. The Indonesian Consumers Foundation (Yayasan Lembaga Konsumen Indonesia) recorded 54 cases of a data breach in e-commerce, 27 cases in peer-to-peer lending and 5 cases in electronic money. Based on the results of a comparative study with Hong Kong and Malaysia, Indonesia has yet no specific Act that comprehensively regulates personal data protection. Indonesia also does not have a personal data protection commission. Criminal sanctions and civil claims related to data breaches have not yet been regulated.

This study examines the data breach problem in the Indonesian digital economy sector. However, the legal construction of personal data protection regulations is built on the results of a comparative study with Hong Kong and Malaysia.

The results of this study can be useful for constructing the ideal regulation regarding the protection of personal data in the digital economy sector.

The results of the recommendations in this study are expected to develop and strengthen the protection of personal data in the Indonesian digital economy sector. Besides aiming to prevent the misuse of personal data, the regulation aims to protect consumers and accelerate the growth of the digital economy.

Indonesia needs to create a personal data protection act. The act should at least cover such issues: personal data protection principles; types of personal data; management of personal data; mechanism of personal data protection and security; commission of personal data protection; transfers of personal data; resolution mechanism of personal data dispute and criminal sanctions and civil claims.