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The concept of working in groups has typically been applied to different industries and different levels within firms in distinct ways, and for distinct reasons. Table I shows the major types of group working which have been employed most commonly with particular technologies and organisational levels.

The World Wide Web has undergone a rapid transition from the originally static hypertext to an ubiquitous hypermedia system. Today, the Web is not only used as a basis for distributed applications (Web applications), moreover it serves as a generic architecture for autonomous applications and services. Many research work has been done regarding the modeling and engineering process of Web applications and various platforms, frameworks and development kits exist for the efficient implementation of such systems. Concerning the modeling process, many of the published concepts try to merge traditional hypermedia modeling with techniques from the software engineering domain. Unfortunately, those concepts which capture all facets of the Web’s architecture become rather bulky and are eventually not applicable for a model‐driven Web application development. Moreover, there is a need for frameworks which address both, the modeling process and the implementation task and allow a model driven, semi‐automatic engineering process using CASE tools. This paper outlines the DaVinci Web Engineering Framework which supports the modeling as well as the semi‐automated implementation of Web applications. The DaVinci Architectural Layer specifies a persistent, hierarchical GUI model and a generic interaction scheme. This allows the elimination of the hypermedia paradigm, which turned out to be rather practical when building Web applications.

This study aims to focus on understanding the tensions experienced by government officials in introducing electronic government (e-government) policies to support entrepreneurs in a developing Latin American country.

This study relies on an in-depth qualitative approach based on collaborative and analytic auto-ethnography. The authors concentrate on tensions experienced by a government official and how they were addressed when introducing e-government policies to support entrepreneurs during the Covid-19 pandemic.

The findings reveal that paradoxical tensions occur as changes are demanded, multiple concerns are expressed and decisions about resources have to be made. The findings reveal sources of tensions from government, business and external sources. Addressing such tensions revolves around a diverse form of paradoxes dealing with contradictions in terms of speed vs thoroughness and short- vs long-term implications.

The authors’ study provides several contributions. It advances understanding on the source and management of tensions experienced by government officials introducing e-government policies to support entrepreneurs during the Covid-19 pandemic. It also delineates multiple paradoxes experienced by government officials as new policies and systems were introduced. Finally, it offers a conceptual model explaining how government officials deal with multiple tensions emerging from the introduction of e-government policies in a developing country.

The prior literature has suggested that e-government initiatives would be guided by a prescriptive and tension-free process, driven by the interest to enhance governmental efficiency. This study reveals that developing e-government initiatives for entrepreneurs and existing businesses during the Covid-19 crisis was not immune to contradictions between government officials and the public. A conceptual model, based on multiple sources of tensions (government-related, business-related and external sources) and their management, is proposed. Implications and opportunities for further research are presented.

The purpose of this paper is to apply Connolly’s (2003) concept of agonistic respect to develop a typology of agonistic/antagonistic discourses on Twitter. To develop the typology, this study examines 2,236 Tweets containing the hashtag #guncontrol and uses NodeXL (Smith et al., 2010) to create a network map from which the 75 most influential accounts are derived. Using constant-comparative analysis (Glaser and Strauss, 1967), the authors identify seven categories of discourse style based on Connoly’s (2001) notion of ressentiment and “good faith presentations” of opposing arguments: furtive/secretive, cravenly opportunistic, willfully ignorant, irrational sentimental, misunderstanding/misguided, contingently wrong and reciprocal inquiry. The typology provides a useful and unique way to operationalize agonistic democratic theory and serves as the possible basis for training a machine learning classifier to detect antagonistic discourses on social media platforms.

To determine the level of agonism on Twitter, the authors examine tweets that employed the hashtag #guncontrol on March 12, 2018, one month after the shooting at the Marjory Stoneman Douglass High School in Parkland, Florida on February 14. The authors used the NodeXL excel add-on to collect and map 2,236 tweets. Using grounded theory/constant-comparative analysis (Glaser and Strauss, 1967), the authors develop a typology of seven types of discourses ordered from most antagonistic to most agonistic using Connolly’s (1993) concept of agonistic respect.

After examining the top 75 most shared tweets and using constant-comparative analysis to look for patterns of similarity and dissimilarity, the authors identified seven different ways in which individuals present their opponents’ value positions on Twitter on the issue of gun control. The authors were guided by agonistic theory in the authors’ inquiry. The authors looked at how Twitter users expressed their opponent’s faith/value positions, how pluralistic the discourse space was in the comment threads and how much the “talk” was likely to elicit ressentiment from adversaries.

Because the authors intended to engage in theory building, the authors limited the analysis to a selected number of tweets on one particularly salient topic, on one day. The intent of this was to allow for a close reading of the tweets in that specific network for the purposes of creating a useful typology that can be applied to a broader range of cases/issues/platforms.

The authors hope that typology could serve as a potential starting point for Twitter to think about how it could design its algorithms toward agonistic talk. The typology could be used as a classification scheme to differentiate agonistic from antagonistic threads. An algorithm could be trained to spot threads overwhelmingly populated by antagonistic discourse and instructed to insert posts from other threads that represent agonistic responses like “contingently wrong” or “reciprocal inquiry.” While generous presentations or deeper, more nuanced presentations of the opponent’s value position are not a panacea, they could serve to change the orientation by which users engage with policy issues.

Social media platforms like Twitter have up to now been left alone to make markets and establish profitability off of public sphere conversations. The result has been a lack of attention to how discourse on these platforms affects users mental well-being, community health and democratic viability. Recently, Twitter’s CEO has indicated a need to rethink the ways in which it promotes “healthy discourse.” The utilitarian presumption that, left to our own devices, we will trial and error our way to the collective good does not account for the importance of others in refining one’s preferences, arguments and world views. Without an “other” to vet ideas and lead us toward becoming wiser, we are left with a Wyly antagonism that moves discourse further and further away from agonistic respect and toward antagonistic virtual struggle. Platforms that allow antagonistic talk that breeds ressentiment run the risk of irrevocably damaging democracy through poisoning its public sphere.

This paper is unique in providing a typology/framework for thinking about the types of “political talk” that exists on Twitter. By using agonistic political theory as a framework, the authors are able to establish some guiding principles for “good political talk” that acknowledges the incommensurability of value positions on issues like gun control. The typology’s emphasis on agonistic respect, ressentiment and generosity in the presentation of alternative value positions provides a starting point from which to map and catalog discourse on Twitter more generally and offers a normative model for changing algorithmic design.

The purpose of this study is to inform policy and contribute to the existing literature on low-income housing.

In this study, a case study approach was adopted, and data were collected through secondary data collection that is literature survey and through empirical data collection by conducting face to face interviews and survey of key stakeholders, citizens, and government authorities, and in some cases supplemented by on site photography. The data collected from the field was analysed using quantitative and qualitative techniques. The questionnaires were coded for scientific analysis of data. The information was presented in a structured way that permits for in-depth analysis of the data.

In this study, many paradoxes were noted defying common sense, but nonetheless, they require a solution. It has been concluded that, while efforts to improve settlements and anticipate future ones are becoming more common, the desire for eradication persists in many towns in Botswana.

The major limitation of this study is that it was done during the period of COVID-19 induced movement restrictions. As a result, the preferred face to face interviews with key informants were not possible.

This research informed policy on low-income housing in Botswana. The Government of Botswana can use the findings of this study to formulate policies which help in alleviating challenges currently faced in practice when implementing low-income housing projects. The concept of low-income housing has been adopted by many developing countries including in Africa. As such, results of this study can also be applicable in other developing countries where they can be used as a starting point for evaluating the success of policies and the practice of low-income housing.

This work made original contribution to knowledge by putting the plight of housing the urban poor in Botswana will in perspective.

THE re‐organisation of local government in Greater London and the resultant amalgamation of library authorities is viewed by many with considerable misgivings. The upheaval of staff, the loss of status for some senior officers, the general uncertainty for the future—these are very real consequences of the Act and they cannot be ignored. Many chief librarians will see the work of a lifetime, perhaps spent in building up a comprehensive and unified system, made virtually meaningless overnight.

The re‐organisation of local government in Greater London and the resultant amalgamation of library authorities is viewed by many with considerable misgivings. The upheaval of staff, the loss of status for some senior officers, the general uncertainty for the future—these are very real consequences of the Act and they cannot be ignored. Many chief librarians will see the work of a lifetime, perhaps spent in building up a comprehensive and unified system, made virtually meaningless overnight.

Two studies were undertaken with the aim of determining the nature and prevalence of exposure to alcohol sponsorship communications associated with sport. Study 1 reports a content analysis of alcohol sponsors' leveraging across popular sporting events. Study 2 examines alcohol sponsors' activation in social media. A high proportion of alcohol sponsorship messages containing content appealing to young adult drinkers are revealed across multiple media. Events and policy implications are addressed.

Project ELSA is examining the use of documents encoded in SGML (Standard Generalised Markup Language) for the delivery of information to library end users and to librarians acting as information intermediaries. A partnership of industry providers and an end user working together within the Third Framework of the CEC Libraries programme, is constructing a delivery system using SGML encoded journal articles which will be used to investigate technical issues and to examine the potential for offering new and improved services. The development of document delivery is discussed briefly followed by some background on SGML and comment on progress within the ELSA project. Some possible applications of such a system are discussed.

The study seeks to investigate factors that affect the adoption and use of open access in Tanzanian health sciences universities.

Based on a cross-sectional questionnaire survey, 415 faculty members were selected through a stratified random sampling from a population of 679 in all eight health sciences universities in Tanzania. The response rate was 71.1 per cent.

Based on the social exchange theory (SET), and the Unified Theory of Acceptance and Use of Technology (UTAUT), the study developed a model suitable for assessing open access adoption and usage in academic institutions. The study found that facilitating conditions, extrinsic benefits (professional recognition), behavioural intention and individual characteristics (professional rank, technical skills and number of publications) predicted actual usage of open access. Other factors related to contextual factors (attitude, and open access culture), and extrinsic benefits (academic reward, accessibility and preservation) determined behavioural intention to use open access. Fear to violate publisher's copyright policies and effort expectancy however de-motivated faculty to adopt open access, while copyright concerns inhibited faculty's actual usage of open access.

This is the first comprehensive study focusing on the health sciences faculty's open access adoption and usage behaviour in Africa, and Tanzania in particular, and reveals findings that are useful for planning and implementing open access initiatives in other institutions with similar conditions.