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Policy leadership infiltrates the lives of citizens everywhere. Though this type of leadership is implicit and ubiquitous, a theoretically-based model specifically intended for policy leaders is not readily available in academic literature. This article serves to address this gap by proposing a conceptual model of the policy leadership framework. The model expounds upon previous literature and identifies 16 areas vital to the policy process. Implications of the model relate to equipping leadership educators in the classroom and in the community with enhanced policy leadership research and curriculum.

The need for individuals capable of leading change has become pronounced based on the changes occurring within the higher education system. The purpose of this study was to examine if participation in the LEAD21 leadership development program, a national leadership program for faculty emerging as leaders in the land-grant university system, changed participant levels of change leadership. The longitudinal analysis included comparisons across members of three classes in the LEAD21 program, as well as the aggregated data from all three years. Results indicated overall level of change leadership rose by an average of 28.8%. Additionally, the study established benchmarks for pre-program and post-program levels of change leadership. Leadership educators can use the results to inform future leadership education initiatives. Furthermore, the study presents a Leading Change Scale that may be appropriate for future leadership program evaluations. Ongoing evaluations of leadership programs are encouraged.

When discussing the term “technology-facilitated violence” (TFV) it is often asked: “Is it actually violence?” While international human rights standards, such as the United Nations' Convention on the Elimination of All Forms of Discrimination against Women (United Nations General Assembly, 1979), have long recognized emotional and psychological abuse as forms of violence, including many forms of technology-facilitated abuse (United Nations, 2018), law makers and the general public continue to grapple with the question of whether certain harmful technology-facilitated behaviors are actually forms of violence. This chapter explores this question in two parts. First, it reviews three theoretical concepts of violence and examines how these concepts apply to technology-facilitated behaviors. In doing so, this chapter aims to demonstrate how some harmful technology-facilitated behaviors fit under the greater conceptual umbrella of violence. Second, it examines two recent cases, one from the British Columbia Court of Appeal (BCCA) in Canada and a Romanian case from the European Court of Human Rights (ECtHR), that received attention for their legal determinations on whether to define harmful technology-facilitated behaviors as forms of violence or not. This chapter concludes with observations on why we should conceptualize certain technology-facilitated behaviors as forms of violence.

The purpose of this paper is to develop a method to quantify the digital economy using a representative measurement approach and use it to analyze the USA, Germany, the Republic of Korea and Sweden.

The research approach of this paper is based on a developed methodology to identify firms of the digital economy by measuring the market capitalization of selected countries in comparison over time using financial databases.

Comparing the market capitalization of the digital economy, the USA lead both in absolute as well as in relative terms. The 11 firms with the largest market capitalization are all American. For Germany, the results show that policy measures should be undertaken to ameliorate competitiveness in the field.

This current measurement only includes public firms. An interesting avenue for future research would be to transfer the approach to investigate private firms.

Previous research has focused on comparing information and communication technologies adoption and infrastructure as well as innovation hubs between countries. The authors are not aware of any paper to date which has compared market capitalization in the digital economy between countries using a representative sample. This paper offers a research approach to measure and compare the digital economy between countries. The methodology could be applied to other countries which seek to benchmark their performance and derive policy measures to be able to compete with jurisdictions leading in the digital economy.

The purpose of this paper is to explain the effect of the technology acceptance model in the media environment by using the mediating role of artificial intelligence and the cloud computing approach.

After reviewing the theoretical foundations, a conceptual model framework and research hypotheses were formed. The statistical population of the study included managers, deputies and experts from the National Iranian Oil Company, and a statistical sample of 368 people was selected by simple random sampling.

The results of structural equation modelling with PLS 2.0 software show a positive and significant effect on the artificial intelligence variable in the technology acceptance model with the cloud approach. Artificial intelligence has opened a new space in the digital world, especially in the media, so that its profound impact is quite evident and has affected people’s lives.

The acceleration of various technologies has severely challenged the approach of organizations, especially the media. The media environment with word of the technologies of the Industry 4.0, especially cloud computing technology, has changed the ways of accessing and using products and services.

Based on the theoretical predictions of media equation theory and the computers-are-social-actors (CASA) perspective, this study aims to examine the effects of performance error type (i.e. logical, semantic or syntactic), task type and personality presentation (i.e. dominant/submissive and/or friendly/unfriendly) on users’ level of trust in their personal digital assistant (PDA), Siri.

An experimental study of human–PDA interactions was performed with two types of tasks (social vs functional) randomly assigned to participants (N = 163). While interacting with Siri in 15 task inquiries, the participants recorded Siri’s answers for each inquiry and self-rated their trust in the PDA. The answers were coded and rated by the researchers for personality presentation and error type.

Logical errors were the most detrimental to user trust. Users’ trust of Siri was significantly higher after functional tasks compared to social tasks when the effects of general usage (e.g. proficiency, length and frequency of usage) were controlled for. The perception of a friendly personality from Siri had an opposite effect on social and functional tasks in the perceived reliability dimension of trust and increased intensity of the presented personality reduced perceived reliability in functional tasks.

The research findings contradict predictions from media equation theory and the CASA perspective while contributing to a theoretical refinement of machine errors and their impact on user trust.