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The purpose of this paper is to examine the factors that influence enterprise resource planning (ERP) effectiveness within the context of emergency service organizations. Drawing on information systems (IS) effectiveness, ERP implementation and job satisfaction literature, the authors posit that user involvement, top management involvement and training satisfaction are the antecedents to perceived job satisfaction, and perceived job satisfaction leads to ERP effectiveness in emergency service organizations.

Survey methodology is used for collecting data for this research, and the PLS-SEM technique is used for analysis.

Results indicate users will be more satisfied with their training if their inputs are taken into account during their training and the top management is actively involved during the training process. Further, if the users perceive that they are adequately trained, they will be more satisfied with their jobs in using ERP, which will also lead to more effective ERP usage in emergency service operations.

The focus of this study is on a single emergency service organization and thus may not be generalizable to other sectors. The authors extend ERP research to the context of emergency service organizations and thus add to the literature on ERP and emergency services. They conceptualize perceived job satisfaction to integrate roles, teamwork, supervisor and their perception regarding their potential to grow in the organization.

The managerial contribution of this research is to identify the motivational aspects and provide practical insights into the effective use of ERP systems for emergency service organizations. From a managerial perspective, the study provides a framework for both IS and emergency service providers/executives to understand and evaluate the factors that help them use ERP effectively in their firms.

This study extends the knowledge of ERP systems. While most of the ERP research focuses on implementation, the authors’ focus is on the effective use of ERP in emergency service organizations. They focus on identifying key factors that are important to using ERP effectively, specifically in emergency service organizations.

Information security is a growing issue that impacts organizations in virtually all industries, and data breaches impact millions of customers and cost organizations millions of dollars. Within the past several years alone, huge data breaches have been experienced by organizations such as Marriot, Equifax, eBay, JP Morgan Chase, Home Depot, Target and Yahoo, the latter of which impacted three billion users. This study aims to examine the utilization of pre-employment screening to identify potential hires that may require enhanced information security training to avoid such costs.

The authors hypothesize that an individual’s work ethic predicts a person’s information security behavior. The authors test this hypothesis using structural equation modeling with bootstrapping techniques.

Data analysis suggests that certain dimensions of work ethic do indeed predict information security posture, and thus, simple pre-employment screening techniques (i.e. questionnaires) can aid in identifying potential security threats.

The findings provide a tool for identifying problematic employee security posture prior to hiring, which may be useful in identifying training needs for new hires.

The findings provide a tool for identifying problematic employee security posture prior to hiring, which may be useful in identifying training needs for new hires.

Prior studies provide mixed propositions on whether earnings levels or earnings changes provide the better explanatory power for variations of stock returns and whether the time-series behavior of earnings affects the value relevance of both earnings variables. This paper aims to compare the value relevance of earnings levels with that of earnings changes in the return-earnings relations.

The unobservable components model is used to estimate permanent and transitory components of earnings.

The finding shows that the proxy ability of earnings changes for unexpected earnings is sensitive to a firm's time-series earnings permanence property and is unstable and noisy when earnings contain predominantly transitory components, but that of earnings levels is not. The results support earnings levels are a stable and better value relevant proxy in the return-earnings relations.

The findings imply that the valuation role of earnings levels is important in the research relating to earnings components, earnings innovations, and equity valuation, especially when earnings permanence is of interest.

The results provide a new understanding on the role of earnings levels in many business decisions such as executive compensations, institutional investment and conservative accounting where they often involve the choice of using levels and/or changes of earnings variables in making decisions.

The paper contributes to the accounting literature by providing a new insight into the valuation role of earnings levels in the return-earnings relations. The stable value relevance of earnings levels also has important implications, especially for studies that use only earnings levels to assess earnings quality and earnings attributes.

Purpose — The purpose of this paper is to seek improved solution techniques for combined boundary‐initial value problems (IVPs) associated with the time‐dependent creep deformation and rupture of engineering structures at high temperatures and hence to reconfigure a parallel iterative preconditioned conjugate gradient (PCG) solver and the DAMAGE XXX software, for 3‐D finite element creep continuum damage mechanics (CDM) analysis.Design/methodology/approach — The potential to speed up the computer numerical solution of the combined BV‐IVPs is addressed using parallel computers. Since the computational bottleneck is associated with the matrix solver, the parallelisation of a direct and an iterative solver has been studied. The creep deformation and rupture of a tension bar has been computed for a range of the number of degrees of freedom (ndf), and the performance of the two solvers is compared and assessed.Findings — The results show the superior scalability of the iterative solver compared to the direct solver, with larger speed‐ups gained by the PCG solver for higher degrees of freedom. Also, a new algorithm for the first trial solution of the PCG solver provides additional speed‐ups.Research limitations/implications — The results show that the ideal parallel speed‐up of the iterative solver of 16, relative to two processors, is achieved when using 32 processors for a mesh of ndf = 153,238. Originality/value — Techniques have been established in this paper for the parallelisation of CDM creep analysis software using an iterative equation solver. The significant computational speed‐ups achieved will enable the analysis of failures in weldments of industrial significance.

Business intelligence (BI) has been applied in various domains to take better decisions and it provides different level of information to its stakeholders according to the information needs. The purpose of this paper is to present a literature review on recent works in BI. The two principal aims in this survey are to identify areas lacking in recent research, thereby offering potential opportunities for investigation.

To simplify the study on BI literature, it is segregated into seven categories according to the usage. Each category of work is analyzed using parameters such as purpose, domain, problem identified, solution applied, benefit and outcome.

The BI contribution in various domains, ongoing research in BI, the convergence of BI domains, problems and solutions, results of congregated domains, core problems and key solutions. It also outlines BI and its components composition, widely applied BI solutions such as algorithm-based, architecture-based and model-based solutions. Finally, it discusses BI implementation issues and outlines the security and privacy policies adopted in BI environment.

In this survey BI has been discussed in theoretical perspective whereas practical contribution has been given less attention.

A comprehensive survey on BI which identifies areas lacking in recent research and providing potential opportunities for investigation.