Models of Privacy and Disclosure on Social Networking Sites: A Systematic Literature Review

Social networking sites (SNSs) are used widely, raising new issues in terms of privacy and disclosure. Although users are often concerned about their privacy, they often publish information on social networking sites willingly. Due to the growing number of users of social networking sites, substantial research has been conducted in recent years. In this paper, we conducted a systematic review of papers that included structural equations models (SEM), or other statistical models with privacy and disclosure constructs. A total of 98 such papers were found and included in the analysis. In this paper, we evaluated the presentation of results of the models containing privacy and disclosure constructs. We carried out an analysis of which background theories are used in such studies and have also found that the studies have not been carried out worldwide. Extending the research to other countries could help with better user awareness of the privacy and self-disclosure of users on SNSs.

Integrated Analysis of Behavioral and Health Data: A Comparative Study of COVID19 Data in Israel and Italy

The response to the COVID19 pandemic has been highly variable, both in terms of between-nations variation and within the same nation, at different waves. In this context, governments applied different mitigation policy responses with varying impact on social and economic measures over time. This article examines the effect of mobility restriction measures in Italy and Israel and compares the association between health and population mobility data. Facing the pandemic, Israel and Italy implemented different policy measures and experienced different public activity patterns. The analysis we conducted is a staged approach using Bayesian Networks and Structural Equations Models to investigate these patterns. The goal is to assess the impact of pandemic management and mitigation policies on pandemic spread and population activity. We propose a methodology that first models data from health registries and Google mobility data and then shows how decision makers can conduct scenario analysis to help support pandemic management policies.

Integrated Analysis of Behavioral and Health Data: A Comparative Study of COVID19 Data in Israel and Italy

The response to the COVID19 pandemic has been highly variable, both in terms of between-nations variation and within the same nation, at different waves. In this context, governments applied different mitigation policy responses with varying impact on social and economic measures over time. This article examines the effect of mobility restriction measures in Italy and Israel and compares the association between health and population mobility data. Facing the pandemic, Israel and Italy implemented different policy measures and experienced different public activity patterns. The analysis we conducted is a staged approach using Bayesian Networks and Structural Equations Models to investigate these patterns. The goal is to assess the impact of pandemic management and mitigation policies on pandemic spread and population activity. We propose a methodology that first models data from health registries and Google mobility data and then shows how decision makers can conduct scenario analysis to help support pandemic management policies.

Psychological Well-Being and Home Conditions during COVID-19 Confinement. Internet Addiction and Nostalgia as Mediators

The COVID-19 pandemic posed a challenge for all confined populations, dealing with their home resources and suffering changes in their psychological well-being. The aim of this paper is to analyze the relationship between home conditions (i.e., having children, square meters of the house and square meters of the terrace or similar) and psychological well-being, and to test whether this relationship is mediated by Internet addiction and nostalgia. The sample was composed of 1509 people, aged between 18 to 78 years (67.6% women). Structural Equations Models and 2 × 2 ANOVAs were analyzed. It was found that better home conditions mean greater psychological well-being, and that this relationship is partially mediated, in a negative sense, by Internet addiction and nostalgia, especially after day 45 of confinement and with greater intensity in women. These results provide evidence about how psychological well-being can be preserved during a confinement situation, which may be useful for planning healthy strategies in similar circumstances in the future.

Effects of Social Entrepreneurship on Organizational Performance

Social entrepreneurship (SE) is a crucial way to deal with the social problems produced by the last economic crisis. However, social entrepreneurship most creates economic results that contribute to supporting the activity of the organization. This study analyzes empirically the effects of social entrepreneurship on organizational performance, as well as the indirect effect through corporate social responsibility (CSR). Based on data collected from 213 social economy companies, structural equations models have been used to verify the research hypotheses. The results obtained confirm the positive effect of social entrepreneurship on economic performance and announce the existence of the mediatory effect of the practices of corporate social responsibility.

A Proposal for a New Financial Literacy Questionnaire

Our purpose is to validate a new questionnaire to measure financial literacy. We test our 18-item questionnaire using a sample of 269 respondents. Data come from an Internet survey in Italy from January to March 2019. Following the definition provided by Organizations of Economics Developments (OECD), we analyze three dimensions of financial literacy: knowledge, skills, and attitude. Regarding skills and attitude, we introduce a new set of items, whereas, for knowledge, we use items proposed by National Financial Capability Studies (NFCS) (2009). We conduct exploratory factor analysis, confirmatory factor analysis and structural equations models to verify the validity, reliability and applicability of the questionnaire. Our results show that the data fit reasonably well, thus proving the reliability and validity of the questionnaire to measure financial literacy.

Disentangling the strength of the HRM system: effects on employees reactions

Purpose A strong HRM system (encompassing the dimensions of distinctiveness, consistency and consensus) facilitates a collective interpretation of Human Resource Management (HRM) practices in a common direction, and consequently, a conjoint response by employees. The purpose of this paper is two fold: first to argue that those dimensions have a direct impact on the reaction of employees (organisational citizenship behaviour, OCB and intention to remain, IR); and second, the authors propose that these dimensions are not independent, but rather can interact in such a way that consensus impacts on the consistency of an HRM system, and consistency mediates the relationship between consensus and OCB and IR. Design/methodology/approach The authors surveyed HR managers and employees from a sample of 102 Spanish hotels. Specifically, HR managers were asked to complete a questionnaire assessing the dimensions of HRM strength, and employees completed a different questionnaire reporting their levels of OCB and IR. The authors examined the reliability and validity of measures by means of Confirmatory Factor Analysis. Finally, structural equations models were applied to test direct effects and mediating hypotheses. Findings As an initial finding, the authors obtained two dimensions of HRM strength: consistency and a new factor, which is a combination of distinctiveness and consensus, labelled the “Reputation” of the HRM system. A second result is that such the reputation of the HRM system positively affects OCB and IR. Third, consistency mediates in the relationships between the reputation of the HRM system and OCB and IR. Research limitations/implications Although the authors are aware of the limitations of our paper, regarding the cross-sectional data design and the assessment of HR strength by managers, the authors believe that the results highlight the importance of HRM system strength, since it affects individual outcomes. Originality/value One of the valuable contributions made by this paper is that the authors obtained two dimensions for HRM strength instead of the three proposed by Bowen and Ostroff (2004): consistency and reputation (as a combination of distinctiveness and consensus). The authors explain that the new dimension is related to the concept of employer branding, emphasising HRM system’s internal image, facilitating common expectations that guide employees towards the desired responses. Second, Reputation impacts Consistency, improving employees’ OCB and IR; hence, the dimensions of HRM system strength are not independent, but they are better able to interact in order to affect employee outcomes.

The job design happiness scale (JDHS)

Purpose The purpose of this paper is to identify the factors that individuals consider necessary to be happy in their job. Based on these factors, a measure of job design happiness (JDH) is proposed. Design/methodology/approach Two methods were applied: a qualitative study with content analyses (n=969) to develop an exploratory questionnaire; and exploratory and confirmatory factor analysis by applying structural equations models. In this second study the questionnaire was sent to a second sample (n=1,079). Findings Five first-order factors were identified: self-fulfillment; group working, attaining goals; leadership; and sustainability and job/family balance. These factors are explained by a second order factor: JDH. Research limitations/implications Further research is needed to determine how the identified “job design happiness” components may interact with one another. Testing the measure of different industries and national cultures is also suggested. Practical implications Managers and human resources practitioners can improve job and organizational performance by applying the scale in several moments in time measuring the job happiness “pulse,” monitoring their decisions. Social implications The adoption of this measure for decision making in organizational and job design can contribute to the improvement of living standards and firm sustainability. Originality/value Research on organizational happiness has been increasing but instruments to measure JDH, considering organizational factors, are limited.