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A flexible and realistic linguistic assessment approach is developed to provide a mathematical tool for synthesis and evaluation analysis of nuclear safeguards indicator information. This symbolic approach, which acts by the direct computation on linguistic terms, is established based on fuzzy set theory. More specifically, a lattice‐valued linguistic algebra model, which is based on a logical algebraic structure of the lattice implication algebra, is applied to represent imprecise information and to deal with both comparable and incomparable linguistic terms (i.e. non‐ordered linguistic values). Within this framework, some weighted aggregation functions introduced by Yager are analyzed and extended to treat these kinds of lattice‐value linguistic information. The application of these linguistic aggregation operators for managing nuclear safeguards indicator information is successfully demonstrated.

Much research on knowledge discovery in database (KDD) merely pays attention to data mining, one of many interacting steps in the process of discovering previously unknown and potentially interesting patterns in large databases, but little to the whole process. However, such approaches cannot satisfy the need of real applications of KDD. The purpose of this work is to extend a process model of KDD in practice at large.

A new model based on research experiences of the knowledge discovery process is formalized as an extension of the model by Fayyad et al. A case study by a reduct method from rough set theory is to illustrate why the process model is proposed and in what situation it can be used in practice.

This model incorporates data collection in the KDD process to supply a sound framework to better support KDD applications.

This model reflects the native of KDD in some tested cases. It may need further research to be used in all other situations.

It can be used in the area of information security, medical treatment and other information management.

Using this model, one can directly collect data that are essential and useful for the mining results. It also offers practical help to those KDD researchers both from industry and academia.

For an enterprise, the competence of human resource is more important than the intellect or the basic quality of human resource. This paper aims to present a competence appraisement model of human resource in an enterprise.

The paper puts forward the appraisement index architecture of enterprise human resource competence on the foundation of adopting the concept and models of competence, and establishes a general model of the enterprise human resource competence appraisement.

The results obtained in this paper provide a foundation to establish a relatively reasonable and efficient enterprise appraisement system of human resources.

The research offers information about the enterprise appraisement information processing system of human resources.

Assessment of personality disorders in substance abusing patients may produce important insights. Little is known about the value of routine personality disorder assessment in a clinical context. Adults with past‐year substance dependence seeking treatment at a centralised intake unit for substance abusers in the City of Copenhagen were randomised to assessment of personality disorders and individual psychoeducation vs. attention placebo (n=75). All patients received psychoeducation for attention deficit hyperactive disorder (ADHD) and anxiety/depression when indicated. Patients were followed at three and six months post‐treatment. The psychoeducation for personality disorder did not result in improved functioning. Significant differences indicated a larger drop in substance use in the experimental group. Assessing personality disorders and providing psychoeducation is a promising treatment in a clinical context. There is a need for relevant treatment options to improve functioning and quality of life for this group of patients.

Over the last decade, temporary supply chains (TSCs) have become a well-recognized logistics model. In TSCs, supply chain members are organized for an ad hoc project; they pool resources in order to make the project successful. Although it might be perceived that TSCs are unstable due to their temporary nature, this paper aims to discuss how TSCs can be managed so as to be both stable and agile, while achieving the stated objectives; since the stability-agility context could be really challenging in humanitarian and peacekeeping supply chains, this is the one that has been selected.

The authors reviewed the literature, research reports and electronic documents on humanitarian and peacekeeping supply chains, to understand the main challenges in terms of managerial and social impacts of logistical operations in a disaster context.

The disaster context is very peculiar, since it requires tremendous agility when a natural or man-made catastrophe hits, so that as many lives as possible can be saved and that the situation could get back rapidly to a relatively normal level. The paper shows that TSCs require an advanced level of time and organizational stability of the human and material resources involved in order to be highly flexible. In other words, an efficient TSC relies on “anticipated responsiveness”, a major managerial challenge in the years to come.

The paper clarifies the management of humanitarian and peacekeeping supply chains and identifies the importance of anticipation capability to improve logistical responsiveness.

Social media usage has been documented to affect the psychological well-being of its users. This study aims to examine how social media overload influences cognitive fatigue among individuals in Malaysia.

This study employed a comprehensive research framework based on the stressor-strain-outcome (SSO) model to examine how perceived overload affects social media cognitive fatigue through emotional exhaustion and anxiety. Survey data were gathered from 451 social media users in Malaysia, and data analysis was performed using PLS-SEM.

The findings revealed that information overload, communication overload and interruption overload are antecedents of emotional exhaustion. Communication overload, interruption overload and cognitive overload were identified as antecedents of anxiety, while emotional exhaustion and anxiety were confirmed as predictors of social media cognitive fatigue. However, pathway analysis indicated no relationship between emotional exhaustion and anxiety.

Our study contributes to the literature on media technology and media psychology by examining the psychological mechanisms (emotional exhaustion and anxiety). The findings offer implications for service providers, practitioners and social media users, as they facilitate measures and strategies to mitigate the adverse effects of social media while elevating psychological well-being.

From the agency theory’s point of view, this paper aims to analyze corporate governance mechanisms about the characteristics of the companies quoted in the segments Bovespa Mais and Bovespa Mais 2 and their influence on the creation of value in preparation for the opening of the initial public offering (IPO).

A quantitative approach was adopted to achieve the proposed objective using the panel data with fixed effects and secondary data collected on the Comissão de Valores Mobiliários website, using statistical software Stata® 13.0 for statistical tests. The population comprises non-financial companies belonging to the Bovespa Mais and Bovespa Mais Level 2 groups, as the survey sample took into account the period of adhesion of the companies, totaled in 15 companies, which cover the period from 2008 to 2019. The selected variables correspond to the ownership structure’s characteristics, then the board’s composition and the fiscal council as the body responsible for supervising the administrators’ acts.

The main results indicate that the number of independent members on the board of directors and the supervisory board’s participation positively influence market performance. However, it also reveals that the concentration of ownership brings fundraising for other companies’ acquisitions, risk reduction concerning information asymmetry between investing powers.

The main results indicate that the number of independent members on the board of directors and the supervisory board’s participation positively influence market performance. Despite this, it also reveals that the concentration of ownership brings fundraising for other companies’ acquisitions, risk reduction concerning information asymmetry between investing powers.

This paper advances a comparative institutional perspective to explain capital market choice by firms making an IPO in a foreign market. This paper finds that internal governance characteristics (founder-chief executive officer, executive incentives and board independence) and external network characteristics (prestigious underwriters, degree of venture capitalist syndication and board interlocks) are significant predictors of foreign capital market choice by foreign IPO firms.

While product market choices have been central to strategy formulation for firms in the past, financial markets’ integration makes capital markets an equally crucial strategic decision. This paper advances a comparative institutional perspective to explain capital market choice by firms making an IPO in a foreign market.

This situation generates value to shareholders and is perceived by the market and, ultimately, generates a direct relationship with the market performance of companies. While product market choices have been central to strategy formulation for firms in the past, financial markets’ integration makes capital markets an equally major strategic decision.

The participation of society is a valuable aspect of the governability of cities, for it strengthens the citizens’ collaborative component. Such participation, which is seen as social, is considered an essential element for the design of a smart city. This study aims to identify the factors that contribute to social participation in the definition of budgetary instruments’ planning.

Concerning the methodological instruments, this study is characterised by a quantitative and descriptive approach and uses a multivariate data analysis with a sample of 235 respondents.

The study’s findings identified a framework that portrays elements that collaborate with the social participation in the definition of the public administration’s budgetary instruments, which are considered as elements that are able to develop the role of the popular participation and are characterised by the definition of a smart city by enabling more assertiveness in society’s needs.

Identification of a framework that brings out elements that are able to develop the popular participation in the definition of budgetary instruments. Then, one scale of elements that contribute to social participation in the definition of the public administration’s budgetary instruments theoretically represented and statistically validated, thus contributing to the continuity of studies on social participation.

Through studies on social participation in budgetary planning, it is possible to guarantee a better allocation of public resources through intelligent governability.

The research can bring theoretical elements about social participation in the definition of budget instruments for a statistical convergence through the perception of the sample.

The purpose of this paper is to present an intelligent data-driven framework which provides an effective group-buying aggregation service and thus offers a new opportunity for personalized services in recommendation and advertisement.

The work presented in the paper analyzes the aggregated group-buying data and creates a compact view of the data which eliminates the potential redundancy and noise. In doing this, the dependencies are discovered from the data in a reverse engineering way. A noise-tolerant method is appreciated, as noise and exception is inevitable in massive data.

The paper finds that, through the implementation of the intelligent framework, the aggregator will provide a compact view of the group-buying data to customers. According to the empirical study, a 38 percent average decrease of redundancy and noise in the searching results is achieved through the newly built views and corresponding data.

The paper presents the innovative process of discovering the dependencies and creating views in a data-driven and noise-tolerant way. The proposed intelligent framework improves the aggregation performance and forms the basis of personalized services.

The main purpose of the present study is to develop appropriate construct to benchmark occupational health and safety performance in industrial setting so that deficiencies can be highlighted and possible strategies can be evolved to improve the performance.

Data envelopment analysis (DEA), being a robust mathematical tool, has been employed to evaluate the safety performance of industries. DEA, basically, takes into account the input and output components of a decision‐making unit (DMU) to calculate technical efficiency (TE). TE is treated as an indicator for safety performance of DMUs and comparison has been made among them.

A total of 30 Indian organizations under three industrial categories such as construction, refractory and steel are chosen for comparison purpose. It has been observed that safety performance of construction industries is consistently low as compared to other categories of industries. TE has been calculated using two types of models of DEA such as constant return to scale (CRS) and variable return to scale (VRS). A paired two‐sample t‐test indicates that TEs obtained using two models are significantly different. Mean efficiency of 30 samples is found as 0.898 using CRS model whereas same is calculated as 0.942 using VRS.

The limitations may be number of input and output components considered for each DMU. If different set of inputs and outputs may be considered, the results may be different. Another limitation may be the number of industrial sectors considered in the study.

The method, being a generic one, can be adopted by the managers to assess present safety performance and find a suitable peer to which, it should follow to improve own TE followed by in what respect it has to improve. Industrial safety and occupational health concerns in industries is not only important from government regulation point of view but also essential for enhancing productivity and profitability to become competitive in the marketplace. The practical limitation may be collection data quantitatively from various DMUs because many a time the DMUs are unwilling to share data.

This work proposes use of simple mathematical tool like DEA for benchmarking based on safety performance in Indian industries. In Indian context, safety performance of industrial settings has hardly been assessed. The study provides a simple but comprehensive methodology for improving safety performance. The study also outlines comparative evaluation of safety practices in different industries.