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PurposeE‐government adoption is the focus of many research studies. However, few studies have compared the adoption factors to identify the most salient predictors of e‐government use. The purpose of this paper is to compare popular adoption constructs to identify the most influential.Design/methodology/approachA survey was administered to elicit citizen perceptions of e‐government services.FindingsThe results of stepwise regression indicate perceived usefulness, trust of the internet, previous use of an e‐government service and perceived ease of use all have a significant impact on one's intention to use an e‐government service. Perceived usefulness emerges as the most important factor in predicting e‐government adoption. This factor alone explains 74.8 percent of the variance in intention to use.Research limitations/implicationsIn light of these findings, researchers should still explore the role of adoption factors in e‐government diffusion. The proposed model is a robust, yet parsimonious way to explore the key factors that influence technology acceptance. This study includes the adoption perceptions of citizens from one state in the USA. Future studies should overcome this limitation by incorporating citizens from other regions and nations.Practical implicationsThis study illustrates the elements of e‐government use that are most salient to citizens. Government agencies should focus on these factors when designing and promoting e‐services.Originality/valueThis study shows that the integration of a technology acceptance model, trust and previous e‐government experience work together to explain a large percentage of variance in intention to use e‐government. In particular, perceived usefulness (aka relative advantage, aka performance expectancy) is the most salient predictor.

E-government is the use of information technology, especially telecommunications, to enable and improve the efficiency with which government services and information are provided to its constituents. Internet voting is an emerging e-government initiative. It refers to the submission of votes securely and secretly over the Internet. In the United States some areas have already used Internet voting systems for local and state elections. Many researchers argue that one of the most important social impacts of Internet voting is the effect it could have on voter participation. Numerous studies have called for research on the impact of technology on voter turnout; however, existing literature has yet to develop a comprehensive model of the key factors that influence Internet voting adoption. In light of the gradual implementation of I-voting systems and the need for research on I-voting implications this study combines political science and information systems constructs to present an integrated model of Internet voter participation. The proposed model of Internet voting adoption posits that a combination of technical, political and demographic factors amalgamate to influence the adoption of I-voting services. The study was conducted by surveying 372 citizens ranging in age from 18-75. The findings indicate that an integrated model of I-voting adoption is superior to existing models that explore political science or technology adoption constructs in isolation. Implications of this study for research and practice are presented. ; Ph. D.

PurposeTo identify the factors that influence adoption of e‐voting services by citizens between the ages of 18‐24.Design/methodology/approachThis study uses Carter and Belanger's (2005) model of e‐government adoption to assess young voters' intention to use an online voting system. The study integrates constructs from technology acceptance, diffusion of innovation, and web trust models. A survey is administered to 208 young voters. The data is analyzed using multiple regression analysis.FindingsResults indicate that user perceptions of compatibility, usefulness, and trust significantly impact their intention to use an electronic‐voting system. The model explains 76 percent of the variance in young voters' intention to use an e‐voting system.Research limitations/implicationsThe study only explores the perceptions of one age group. Future studies could use the model to access adoption perceptions of a more diverse pool of citizens.Practical implicationsGovernment agencies should emphasize the benefits of this electronic service to young voters. If marketed properly, the convenience and compatibility of e‐voting may be influential enough to motivate this normally apathetic demographic to participate in the election process.Originality/valueThis study explores adoption of internet voting by young citizens. An understanding of the factors that influence this demographics' intention to use e‐voting systems can be used to increase voter participation. The findings of this study also lay the foundation for future studies on e‐voting adoption.

Purpose
This study aims to examine the role of hope and hate in political leaders' messages in influencing liberals versus conservatives' social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.


Design/methodology/approach
The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state's governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals' social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.


Findings
The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.


Research limitations/implications
Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.


Practical implications
The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.


Originality/value
Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

PurposeThe purpose of this viewpoint is to identify the potential for future research on information privacy and e‐government.Design/methodology/approachUsing a concise review of major privacy studies, the paper presents an overview of information privacy research in e‐government. Using privacy calculus, it proposes seven factors that have an impact on one's concern for information privacy (CFIP) when disclosing information to or completing a transaction with the government.FindingsThe model posits that seven factors – perceived internet privacy risk, collection, error, secondary use, improper access, reputation, and third party certificate – have a significant impact on CFIP.Originality/valueThis viewpoint provides a timely discussion on information privacy and e‐government. It also provides several suggestions for future research in this area. This viewpoint is a call for research on information privacy and e‐government.