Multilevel Contracts for Trusted Components

This article contributes to the design and the verification of trusted components and services. The contracts are declined at several levels to cover then different facets, such as component consistency, compatibility or correctness. The article introduces multilevel contracts and a design+verification process for handling and analysing these contracts in component models. The approach is implemented with the COSTO platform that supports the Kmelia component model. A case study illustrates the overall approach.Comment: In Proceedings WCSI 2010, arXiv:1010.233

Strategic HRM and Organizational Behavior: Integrating Multiple Levels of Analysis

[Excerpt] A few trends have emerged in the field of Strategic Human Resource Management (SHRM) over the past few years. First, and most obviously, has been the extensive effort to demonstrate a link between HRM practices and firm performance (Becker & Gerhart, 1996). Researchers such as Huselid (1995), MacDuffie (1995), Delery and Doty (1996), and Guthrie (2000) have published empirical studies showing a statistically significant linkage between HRM practices and some measures of organizational performance. A second trend has been to try to understand the mechanisms through which this relationship takes place. Authors such as Becker & Gerhart, (1996), Dyer and Reeves (1995), Guest, (1997) and Wright and Gardner (2003), have all called for research that uncovers some of the mediating relationships that must exist between the HRM practices and organizational performance. A final trend has been the recent interest in taking a multi-level approach to understanding SHRM. Wright and Boswell (2001) reviewed the SHRM literature and categorized this research as being differentiated along one dimension representing whether the focus was on single or multiple practices, and along a second dimension dealing with the unit of analysis, specifically the individual versus the group or organization. Ostroff and Bowen (2000) and more recently Bowen and Ostroff (2004) have developed the most extensive multi-level model of SHRM to date. Their theoretical approach argues that HR practices serve as communications mechanism signaling employees to engage in certain behaviors; relying on communications theory they contend that different aspects of HRM systems impede or facilitate this communication process. The purpose of this paper is related to these last two trends: we conceptually examine some of the mediating processes that might occur in the HRM – performance relationship, and try to make explicit their multilevel nature. In order to accomplish this, we will first explore the concept of variance, which is crucial to the analysis of any phenomena across multiple levels. We will show how virtually all existing SHRM research focuses on variance at one level of analysis while assuming constancy at other levels. We will next discuss the process through which HRM practices must act, and identify some of the relevant variables that have heretofore been virtually ignored in the empirical SHRM literature, specifically focusing on variance at different (unit vs. individual) levels of analysis. Finally, we will present some implications for theorizing and research in this area

The determinants of work autonomy and employee involvement: A multilevel analysis

Although work autonomy (WA) and employee involvement (EI) are often subsumed into a single construct in the literature, we argue that there is theoretical and empirical ground to meaningfully distinguish the two notions. To better understand a) the extent to which WA and EI are distinct constructs and b) the factors that explain their respective levels, we use the 2010 European Working Conditions Survey to build sound indexes of WA and EI, provide a picture of the level of both constructs in 31 European countries and analyse their predictors through multilevel structural models. The results show that WA and EI differ significantly in what concerns their macro-level but not micro-level predictors. Whereas union density and generalised trust strongly influence EI, only generalised trust impacts WA. Documenting that generalised trust as a macro-social trait is powerfully associated with organizational choices is a key contribution of the paper.info:eu-repo/semantics/acceptedVersio

The empirics of social capital and economic development: a critical perspective

This paper provides an introduction to the concept of social capital, and carries out a critical review of the empirical literature on social capital and economic development. The survey points out six main weaknesses affecting the empirics of social capital. Identified weaknesses are then used to analyze, in a critical perspective, some prominent empirical studies and new interesting researches published in last two years. The need emerges to acknowledge, also within the empirical research, the multidimensional, context-dependent and dynamic nature of social capital. The survey also underlines that, although it has gained a certain popularity in the empirical research, the use of “indirect” indicators may be misleading. Such measures do not represent social capital’s key components identified by the theoretical literature, and their use causes a considerable confusion about what social capital is, as distinct from its outcomes, and what the relationship between social capital and its outcomes may be. Research reliant upon an outcome of social capital as an indicator of it will necessarily find social capital to be related to that outcome. This paper suggests to focus the empirical research firstly on the “structural” aspects of the concept, therefore excluding by the measurement toolbox all indicators referring to social capital’s supposed outcomes.Social capital; Social networks; Trust; Economic development; Relation of economics to other disciplines; Relation of economics to social values

Enhancing Confidentiality and Privacy Preservation in e-Health to Enhanced Security

Electronic health (e-health) system use is growing, which has improved healthcare services significantly but has created questions about the privacy and security of sensitive medical data. This research suggests a novel strategy to overcome these difficulties and strengthen the security of e-health systems while maintaining the privacy and confidentiality of patient data by utilising machine learning techniques. The security layers of e-health systems are strengthened by the comprehensive framework we propose in this paper, which incorporates cutting-edge machine learning algorithms. The suggested framework includes data encryption, access control, and anomaly detection as its three main elements. First, to prevent unauthorised access during transmission and storage, patient data is secured using cutting-edge encryption technologies. Second, to make sure that only authorised staff can access sensitive medical records, access control mechanisms are strengthened using machine learning models that examine user behaviour patterns. This research's inclusion of machine learning-based anomaly detection is its most inventive feature. The technology may identify variations from typical data access and usage patterns, thereby quickly spotting potential security breaches or unauthorised activity, by training models on past e-health data. This proactive strategy improves the system's capacity to successfully address new threats. Extensive experiments were carried out employing a broad dataset made up of real-world e-health scenarios to verify the efficacy of the suggested approach. The findings showed a marked improvement in the protection of confidentiality and privacy, along with a considerable decline in security breaches and unauthorised access events

Exploring the role of servitization to overcome barriers for innovative energy efficiency technologies – the case of public LED street lighting in German municipalities

In this paper we analyse the case for public application of LED street lighting. Drawing from the energy services literature and transaction cost economics, we compare modes of lighting governance for modernisation. We argue that servitization can accelerate the commercialisation and diffusion of end-use energy demand reduction (EUED) technologies in the public sector if third party energy service companies (ESCo) overcome technological, institutional and economic barriers that accompany the introduction of such technologies resulting in transaction costs. This can only succeed with a supportive policy framework and an environment conducive towards the dissemination of specific technological and commercial knowledge required for the diffusion process