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This article considers internet system development with reference to what is currently termed the “network neutrality” debate; its aim is to develop improved ways of reasoning about the role of the public interest in networked communications infrastructures.

To assess the degree to which a general non‐discrimination rule would be possible or useful, this article this article reviews documented examples of differential service by internet service providers that already occur. It then compares these practices to older debates about common carriage.

Most of the debate about network neutrality focuses on a few kinds of content discrimination, while there are many more varieties at work. While the focus of the debate has been legal, the problem is often technological. Many kinds of discrimination are now at work, often secretly.

Rather than one grand, neutral rule for a neutral internet, there is a need for a normative framework that can provide a larger picture of the role of this infrastructure in society, and therefore a way to reason about whether a particular kind of discrimination is normatively good or bad. There is also a need for more public disclosure of actions taken internally by internet providers.

This paper provides a set of examples that expand the scope of the network neutrality debate, adding nuance and complexity. It also calls into question the novelty of the issue and suggests that it is unlikely that a single rule (or a small set of general rules) will resolve this dispute.

Survey-based studies suggest that search engines are trusted more than social media or even traditional news, although cases of false information or defamation are known. The purpose of this paper is to analyze query suggestion features of three search engines to see if these features introduce some bias into the query and search process that might compromise this trust. The authors test the approach on person-related search suggestions by querying the names of politicians from the German Bundestag before the German federal election of 2017.

This study introduces a framework to systematically examine and automatically analyze the varieties in different query suggestions for person names offered by major search engines. To test the framework, the authors collected data from the Google, Bing and DuckDuckGo query suggestion APIs over a period of four months for 629 different names of German politicians. The suggestions were clustered and statistically analyzed with regards to different biases, like gender, party or age and with regards to the stability of the suggestions over time.

By using the framework, the authors located three semantic clusters within the data set: suggestions related to politics and economics, location information and personal and other miscellaneous topics. Among other effects, the results of the analysis show a small bias in the form that male politicians receive slightly fewer suggestions on “personal and misc” topics. The stability analysis of the suggested terms over time shows that some suggestions are prevalent most of the time, while other suggestions fluctuate more often.

This study proposes a novel framework to automatically identify biases in web search engine query suggestions for person-related searches. Applying this framework on a set of person-related query suggestions shows first insights into the influence search engines can have on the query process of users that seek out information on politicians.

This study is dedicated to universities' strategic social media communication and focuses on the fan engagement triggered by Facebook postings. The study contributes to a growing body of knowledge that addresses the strategic communication of universities that have thus far hardly dealt with questions of resonance and evaluation of their social media messages.

Using the Facebook Graph API, the authors collected posts from the official Facebook fan pages of the universities listed on Shanghai Ranking's Top 50 of 2015. Specifically, the authors retrieved all posts in a three-year range from October 2012 to September 2015. After downloading the Facebook posts, the authors used tools for automated content analysis to investigate the features of the post messages.

Overall, the median number of likes per 10,000 fans was 4.6, while the number of comments (MD = 0.12) and shares (MD = 0.40) were considerably lower. The average Facebook Like Ratio of universities per 10,000 fans was 17.93%, the average Comment Ratio (CR) was 0.56% and the average Share Ratio (SR) was 2.82%. If we compare the average Like Ratios (17.93%) and Share Ratios (2.82%) of the universities with the respective Like Ratios (5.90%) and Share Ratios (0.45%) of global brands per 10,000 fans, we may find that universities are three times (likes) and six times (shares) as successful as are global brands in triggering engagement among their fan bases.

The content analysis was solely based on the publicly observable Facebook communication of the Top 50 Shanghai Ranking universities. Furthermore, the content analysis was limited to universities listed on the Shanghai Ranking's Top 50. Also, the Facebook posts have been sampled between 2012 and September 2015. Moreover, the authors solely focused on one social media channel (i.e., Facebook), which might restrict the generalizability of the study findings. The limitations notwithstanding, university communicators are invited to take advantage of the study's insights to become more successful in generating fan engagement.

First, posts published on the weekend generate significantly more engagement than those published on workdays. Second, the findings suggest that posts published in the evening generate more engagement than those published during other times of day. Third, research-related posts trigger a certain number of shares, but at the same time these posts tend to lower engagement with regard to liking and commenting.

To the authors’ best knowledge, the automated content analysis of 72,044 Facebook posts of universities listed in the Top 50 of the Shanghai Ranking is the first large scale longitudinal investigation of a social media channel of higher education institutions.

The purpose of this empirical research is to identify the key success factors engrained in the new product development (NPD) practices of companies that belong to the Italian sport shoe cluster of Montebelluna.

Statistical analyses were undertaken on data collected through a questionnaire submitted to a conveniently selected group of the population of firms localized in Montebelluna. A series of one‐way ANOVAs was run on the NPD performance metric. We then measured the Pearson correlation between the degree of new product success and the factors that were found to be statistically significant. We converted the response variable into a dummy and then we tested the hypotheses with the normalized Cramer's V‐square to discriminate between the best performers and the rest. Finally, we performed a regression analysis to build a model that explains a large part of the variation in new product success.

Three macro factors have a positive influence on new product success: extended team approach (also cross‐company); customer orientation; and the use of advanced ICTs for new product development.

Further investigation is needed on the role of networking with suppliers in new product development.

Sport shoe manufacturers should: proactively develop close relationships with their customers aimed at NPD; integrate lead users in the NPD process; and implement strategies to overcome their inhibition from investing in advanced ICTs for NPD.

Some factors that have been found as being important drivers of new product success in other researches do not seem to play a relevant role in the companies we analyzed. The study highlights the strategic role of lead users in contributing to the enhanced performance of successful companies.

Building on the contributions of chaos and complexity theories, this paper aims to conceptualize how the leadership of Mahatma Gandhi, Martin Luther King and Nelson Mandela were able to transform chaos (randomness) into order (integration). More specifically, it aims to identify the qualities by which such leadership worked in the context of conflict and cultural confrontations, which is, leading at the edge of chaos.

This research follows a qualitative approach in data collection and analysis; it narrates and analyses biographic data as well as literature about these three prominent leaders. Common qualities of these leaders are explored in-depth, discussed and linked.

Success in leading at the edge of chaos was attributed to the following leadership qualities: vision, non-violence and tolerance. This paper conceptualizes Gandhi, King and Mandela's embodiment of these qualities in transforming difference and disagreement to unity and how they inspired and developed their societies at home and all over the world. This paper concludes with the following results: Dr King, Gandhi and Mandela were visionary leaders; the three leaders had a vision about the future of freedom, equality and peace. More importantly, they were able to hearts and minds, and convey their visions to followers and to society at large. They struggled to achieve their goals non-violently, but knew that violence could destroy society due to unbalanced power structures. In the fight for their people's emancipation/freedom, they avoided ethnic, racial and religious discrimination. The three leaders were politically, culturally and socially tolerant.

By identifying their leadership qualities and analyzing their leadership mechanisms, this paper stresses the necessity of the emergence and preservation of leadership as exhibited by King, Gandhi, Mandela and many other influential leaders. Leaders, committed to enrichment and sustainability of cultural diversity and nurturing of tolerance, can play a role in unifying nations. Practically put, today’s leaders need to rethink their strategies, by taking into consideration what Gandhi, King and Mandela have contributed to leadership in dealing with cultural diversity and conflict. Furthermore, leaders must extend the applicability of such leadership to include the ending of violence in every facet of people's lives, and work publicly to overcome the challenges encountering human kind such as nuclear weapons, war, poverty, racism, global warming, drugs, religious bigotry and violence of any kind. That is, today's leaders need to lead at the edge of chaos due to the ongoing conflicts around the globe.

This paper uniquely conceptualizes leadership qualities by analyzing and comparing literature and biographical data of the above-mentioned leaders. The study also contributes to the existing literature on leadership using an interdisciplinary approach by proving the mechanisms by which leadership transforms chaos into order within the context of cultural diversity and confrontation, where studies are rare. This research contributes to the theory of leaderships at three levels. First, it offers an interdisciplinary theory on leadership qualities by linking these qualities with chaos and complexity theories. Second, unlike the majority of literature which views leadership from a business or public leadership perspective, this research provides a new perspective of leadership for cultural diversity. Third, it highlights the role models of three exemplary leaders for each of whom previous literature is lacking.