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The research purpose is to investigate the mediating and moderating relationships between smartphone addiction and well-being (i.e. health-related quality of life).

A survey of 236 smartphone users was used to test the research model.

The structural equation modeling analysis results show that smartphone addiction negatively impacts well-being by draining a key personal resource, energy, thus creating strain. The adverse effect of smartphone addiction on users' well-being is found to be more intense when smartphones are used for hedonic purposes.

Through the conservation of resources theory lens, this study increases our understanding of the role of strain in mediating the negative effect of smartphone addiction on well-being. This study also has practical implications. By exploring the mediating and moderating mechanisms underlying when and how smartphone addiction can be detrimental to well-being, interventions can be carried out to mitigate the adverse effects on well-being.

Past research has focused on the antecedents and consequences of smartphone addiction while ignoring the contextual factors of smartphone addiction effects as well as the intervening mechanism through which smartphone addiction impacts well-being. Through the lens of the conservation of resources theory, we close this gap in the literature by providing a better understanding of the mechanism by which smartphone addiction reduces well-being and identifying a relevant contextual factor (i.e. hedonic use) that can worsen the impact of smartphone addiction on well-being.

Our knowledge of why organizations continue to use open source software (OSS) infrastructure technologies is relatively limited, and existing models appear inadequate to explain this continuance phenomenon given that they are set at the individual level and also do not take into account the unique characteristics of OSS. The paper aims to discuss these issues.

Using an institutional perspective, this paper posits that coercive (business value of IT) and normative (open source ideology (IDEO)) factors may be credited with sustaining the continued use of OSS technologies. The study argues that organizations that subscribe to IDEO are more likely to continue using OSS technologies. Survey data are collected from organizations that have implemented an OSS infrastructure technology and a moderated multiple regression analysis is performed to test the proposed hypotheses.

In addition to the business value provided by OSS technologies, adherence to IDEO also impacts decisions to continue using those technologies. The results suggest that once an OSS is implemented in an organization, IDEO can enhance organizations’ intentions to continue using such technologies, directly, as well as indirectly, by amplifying the impact of the perceived business value of the technology.

Much of extant literature on continued use focuses on end-user technologies. This paper is one of the first to focus on infrastructure technologies and examine organizations’ intentions to continue using those technologies by developing a parsimonious theory-driven model for examining organizations’ continued use intentions toward infrastructure IT. Additionally, much of open source research to date has been inwardly focused, and this paper is one of few empirical studies to focus on the demand or consumption side of OSS technologies.

The purpose of this paper is to investigate the risks associated with online voting and to compare them with more traditional voting modes.

A modified version of the Operationally Critical Threat, Asset, and Vulnerability Evaluation (OCTAVE) approach from the CERT Coordination Center® at Carnegie‐Mellon University is used for developing a framework for comparing threats for different stakeholders. In addition, these risks and threats are quantified, offering an opportunity to conduct a multi‐mode risk analysis in a manner independent of the underlying voting modes. The framework is exemplified using data from officials who had been involved in an actual municipal election, in which registered voters were given the option of voting through the Internet.

What is instructive in the context of this study is that the “low‐tech” threats such as large‐scale mail theft of election notifications and family member coercion may in fact be significant for Internet voting, and the sensationalized threats mentioned by the media may pale in comparison in terms of vulnerabilities.

Conclusions drawn from applying the methods may be very sensitive to parameters chosen for quantification, especially since estimates of probabilities of threats may vary in order of magnitude.

This paper demonstrates a quantitative and comparative analysis for Internet voting, something which does not seem to be adequately addressed in the literature.

There is considerable debate among academics and business practitioners on the value of the use of social networking by organizational members. Some, fearing presenteeism (i.e. being at the workplace but working below peak capacity), claim that the use of social networking sites by organizational members is a waste of time, while others believe it leads to improvements in job performance, partly due to employees’ successful efforts to balance work‐life realms. This paper aims to inform this debate by examining the use of social networking sites by organizational members and its effect on job satisfaction, organizational commitment, and job performance.

The exploratory study is based on a survey of 193 employees, focusing on the following constructs: social networking site use intensity, perceived job satisfaction, perceived organizational commitment, and job performance. The authors’ proposed model was evaluated using variance‐based structural equation modeling (SEM), a latent variable‐based multivariate technique enabling concurrent estimation of structural and measurement models under nonparametric assumptions. This study used WarpPLS 2.0 to assess both the measurement and the structural model.

The results show that social networking site use intensity has a significant positive effect on job performance through the mediation of job satisfaction, and that this mediating effect is itself mediated – in a nested way – via organizational commitment. The findings suggest that social networking site use, rather than causing presenteeism, may be a new way through which employees balance their work‐life realms, in turn benefitting their organizations.Originality/value – To the best of the authors’ knowledge, this is the first study to analyze, in an integrated way, the relationship between those theoretical constructs.

In the digital age, the use of data and analytical capabilities to guide business decisions and operations plays a strategic role for organizations to gain competitive advantage (CA). However, the paths by which analytical capabilities convey their effect to CA are not yet fully known and few studies address the role of behavioral and cultural aspects of related of analytical capabilities. The purpose of this paper is to analyze how data-driven culture (DDC) and business analytics (BA) affect CA, considering the mediating effects of big data visualization (BDV) and organizational agility (OA).

A survey was conducted with 173 managers who are BDV and BA users in Brazilian organizations of various economic segments. The data were analyzed through structural equation modeling and mediation tests.

The evidence indicates that DDC and BDV are antecedents of BA. The following complementary mediations were discovered: BDV in the relationship between DDC and BA; BA in the relationship between DDC and CA; and OA in the relationship between BA and CA. It was also discovered that OA explains the transmission of most of the effect of BA to CA.

This study can help organizations to understand the importance of cultural and behavioral aspects related to the use of the analytical capabilities. Thereby, managers can establish policies and strategies to extract value from data and leverage business agility and competitiveness through use BDV and BA.

This study fills an important research gap by developing an original research model and discussing empirical evidence on how DDC and BA affect CA, considering the mediating effects of BDV and OA.