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Sharing patient health information (PHI) among hospitals has been much slower than the adoption of health record systems. This paper aims to investigate if privacy regulation (PR) or security measures (SMs) influence hospitals’ use of health information exchange (HIE) to share PHI with other providers (e.g. physicians, labs, hospitals). The study specifically focuses on how multiple PRs can impede and a strong national security infrastructure (NSI) can support HIE.

The study uses secondary data from a multi-national and multi-hospital survey administered by the European Union. The multi-level structure of the cross-sectional panel data is used to test the influence of both hospital-level (e.g. PR) and national-level variables (e.g. NSI) on HIE. A total of nine types of HIE, three types of PRs, nine SMs and other relevant control variables are considered. This study uses a two-level random intercept generalized linear model to test the hypothesis proposed in the study.

The study finds that national-level PRs (NLPR) have the strongest positive influence on HIE in comparison to regional (RLPR) and hospital-level (HLPR) PRs. Moreover, the study finds evidence that the presence of RLPR and HLPR, on average, decreases the positive impact of NLPR by 264%. The SMs also have a significant and positive impact on HIE. Adoption of an additional SM can increase the odds of engaging in a certain type of HIE between 21% and 61%. On the other hand, a strong NSI can also amplify the positive impact of SM on certain types of HIE.

This study extends prior research on the role of PRs in enabling HIE by considering the complexities brought up by adopting multiple PRs. NLPRs have the strongest impact on HIE in comparison to RLPRs or HLPRs. Moreover, public infrastructure initiatives such as those related to secure communications can also complement SMs adopted by the providers by encouraging HIE.

Delay in the clinical information system (CIS) restoration overseeing critical health-care operations after an unexpected data loss can be fatal for patients under care. Investment in information technology (IT) capabilities and synergy between various computerized systems has been argued as the resilient information system's enablers. The purpose of this study is to empirically quantify the influence of IT investment, integration and interoperability in recovering the CIS from a data disaster.

An archival dataset sourced from a European Commission-sponsored survey of 773 hospitals across 30 countries in Europe is utilized to study the relationships. The study adopts a quasi-experimental research design approach where sample observations are weighted based on their propensity to be selected in treatment groups. The artificial weighing allows attaining a pseudo-random sample to counter the effects of selection bias.

The study finds that hospitals with more than 5% of the budget dedicated to IT have 100% higher odds of recovering immediately from a critical data loss in comparison to those that have less than 1% investment in IT. The greater extent of IT integration significantly reduces the time to recover the CIS, while interoperability problems at the organizational level lessen the odds of immediate recovery by 19%. Interoperability problems at the technical and semantic levels do not significantly impact recovery times of the CIS.

The study proposes several empirically quantified and scientifically tested recommendations for health-care providers for faster restoration of critical CIS operations post data loss. The differential impact of the interoperability problems at the technical, semantic and organizational levels has also been highlighted.

Health Information Exchange (HIE) is essential for the efficient and cost-effective delivery of health-care services. The provider’s administrative structure and external environment can substantially influence adopting technologies involving inter-organizational linkages, such as HIE. Using the theoretical lens of institutional theory, this study aims to compare how public and private hospitals' engagement in HIE is influenced by corruption and government online services or e-government usage.

The study uses the positivist research design of secondary data analysis to test the six hypotheses proposed. Data from multiple third-party reliable sources, including the European Commission and World Bank, are combined into the final dataset consisting of observations from 1,442 hospitals across 30 countries in Europe. A multilevel modeling approach is used to associate country and hospital-level variables and test the hypothesis.

The study finds that, on average, a 10% increase in corruption leads to a 6.3% decrease, while a 10% increase in e-government leads to a 7% increase in the probability of HIE engagement for a hospital. The negative impact of corruption on average is 18% more in public than private hospitals, while the positive impact of e-government is 75% stronger in public in comparison to private hospitals. The study also finds that HIE engagements in health systems with predominantly public hospitals are more sensitive to corruption and e-government.

To the best of the authors’ knowledge, the study is one of the first to use the institutional view to test the influence of government actions and public providers' concentration on HIE engagement. The comparison of public and private institutions enriches our understanding of promoters and inhibitors of HIE.

The COVID-19 pandemic has had far-reaching effects on society and will continue to be a subject of study for researchers in the years to come. Businesses have implemented technologies that reduce reliance on physical currencies, such as e-commerce sites and contactless payments. This study aims to examine the users’ attitudes and behaviors toward mobile payments. The focus is on identifying the most effective techniques and approaches that businesses can use to encourage user adoption of mobile payments.

This study uses survey data from 396 active mobile payment users across the mid-west region of the USA to test the proposed hypothesis. The snowball sampling approach is used to sample the participants for the data collection. This study uses partial least squares structural equation modeling to test the ten hypotheses proposed in this study.

This study finds that organizational commitment and privacy customization can significantly overcome users’ protective attitudes toward mobile payments during the pandemic. In addition, providing users with privacy customization options can significantly encourage self-disclosure, which is crucial for transaction authentication and fraud detection.

Envisioned in the backdrop of the COVID pandemic, this is one of the earliest studies investigating the role of privacy customization, self-disclosure and organizational commitment on mobile payment adoption.

Drawing from socialization theory this study investigates the effect of financial socialization and mediating role of “attitude toward money” (ATM) and financial literacy on the financial behavior of young adults in an emerging economy.

A cross-sectional survey of 302 young adults was conducted and responses were analyzed to determine the key antecedents of financial behavior. The model was tested using OLS regression. Parallel mediation was tested using Process Macro in SPSS.

ATM, subjective financial literacy, objective financial literacy are positively associated with financial behavior. Furthermore, parallel mediation analysis establishes the role of ATM and subjective financial literacy as a mediator between financial socialization and financial behavior.

These findings have implications for both financial and academic institutions and policymakers. Academic institutions should introduce personal wealth management courses at early stages in their courses to help young adults make appropriate financial decisions. Policymakers should emphasize creating a habit of budgeting and managing expenses among young adults in addition to promoting financial literacy.

This study focuses on determinants of financial behavior in young adults and specifically, argues that involving parents to financially socialize their children have a crucial impact on subjective financial literacy and ATM which has not been explored in previous literature.

The purpose of this study is to understand the detailed mechanism through which consumer citizenship behavior gets affected by corporate social responsibility through perceived employee behavior and consumer company identification.

The study subjects data from cross-sectional survey of 405 retail store consumers to structural equation modeling.

The results indicate that consumer company identification plays a very crucial role as it mediates the effect of corporate social responsibility and employee behavior on consumer citizenship behavior. In addition, the results also indicate that corporate social responsibility perceptions lead to positive employee behavior.

The study contributes to the literature on consumer citizenship behavior by identifying and filling up two major gaps in the retail outlets' context: (1) the limited empirical investigation of antecedents of consumer citizenship behavior up to third-level (i.e. antecedent of antecedent of antecedent) (2) the lack of clarity on the exact mechanism through which perceived corporate social responsibility influences consumer citizenship behavior, and the role of consumer company identification as a mediator in this relationship.

This paper aims to explore the impact of information communication technology (ICT) use and government efficiency on the economic growth. It assesses empirically the impact of government success in ICT promotion and government efficiency to enhance economic growth and catalyzing corruption control through technology adoption.

This paper examines the relationship between ICT and economic growth in a large sample of 149 countries for the period 2012–2016. The empirical evidence is based on the generalized method of moments.

There is a significant relationship between e-government development, ICT development and institutional quality, and not ICT development and corruption. The empirical results show that a negative value of the interaction suggests that the impact of corruption on economic growth is smaller for countries with a higher level of technology adoption.

The differences in e-government success across countries in the world are influenced by the digital divide due to income and corruption control level.

The efficiency of technology adoption and promotion will ensure stronger effects of corruption control on economic growth. Relevant practical implications derive from the research that can guide public policy in the area of e-government.