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This paper presents a co-authorship study of authors who published in Digital Humanities journals and examines the apparent influence of gender, or more specifically, the quantitatively detectable influence of gender in the networks they form.

This study applied co-authorship network analysis. Data has been collected from three canonical Digital Humanities journals over 52 years (1966–2017) and analysed.

The results are presented as visualised networks and suggest that female scholars in Digital Humanities play more central roles and act as the main bridges of collaborative networks even though overall female authors are fewer in number than male authors in the network.

This is the first co-authorship network study in Digital Humanities to examine the role that gender appears to play in these co-authorship networks using statistical analysis and visualisation.

The purpose of this paper is to consider how digital resources might best be created and how the digital medium might best be exploited to serve the needs of research and teaching in the humanities.

The history of text‐based humanities computing is traced to illustrate the complexity of humanities sources and the requirements for their representation in digital form.

The paper finds that digital information is completely different from any other kind of information, being dynamic, extensible and manipulable in many different ways. It is not static and it can be manipulated in many different ways. The Extensible Markup Language (XML) has been widely adopted in the humanities particularly for full text sources encoded according to the Text Encoding Initiative application. XML permits the display, analysis and manipulation of fine detail within a document. It also facilitates the chunking of information and the integration of data and metadata leading to new forms of publication that exploit the digital medium to the full.

The research environment proposed in this paper challenges current modes of working with a more innovative approach to the nature and functionality of digital representations of humanities sources.

The paper looks at the development of humanities computing and should be helpful for anyone embarking on or managing a humanities digital project.

While Gutenberg's invention is likely to endure for some time, it is indisputable that the prominence of print is diminishing. The recently published Mellon report University Libraries and Scholarly Communication highlights the symbiosis between the humanities and the print medium. It maintains that electronic media will ultimately change the nature of the humanities and spawn a new kind of discourse with fundamentally different features. The report asserts that the shift from print to electronic media, which began in the late twentieth century, will have widespread consequences on the intellectual experience of modern society, reaching beyond print and libraries.

The purpose of this article is to examine the historical development of archives and records management education in universities in England and review the state of research and teaching in the discipline in 2005.

Using a framework that draws on sociological attributes, the main text provides a historical analysis derived from primary and secondary sources, together with a brief overview of current educational provision for the discipline.

The article finds that graduate education in archives and records management has developed in the UK over a period of 60 years (1947‐2005) and is well established, with seven Master's‐level programmes offered across England, Wales, Scotland and Ireland, in a variety of learning modes (full‐ and part‐time, open learning, face‐to‐face) and from different perspectives and contexts (history, information science, digital preservation). The university research community in the discipline has developed more recently and needs to progress quickly and soundly to support the future intellectual life of the profession.

The geographical scope is limited to the UK and focuses in particular on England.

The paper identifies some gaps in educational provision, for instance mid‐career cross‐domain research opportunities, and an apparent lack of interest in academic research by UK practitioners, which might be further investigated.

No study of the historical development of the academic discipline of archives and records management has previously been published.

This paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH) journals. In particular, it seeks to detect patterns in authors' countries of work and languages in co-authorship networks.

Through an in-depth co-authorship network analysis, this study analysed bibliometric data from three canonical DH journals over a range of 52 years (1966–2017). The results are presented as visualised networks with centrality calculations.

The results suggest that while DH scholars may not collaborate as frequently as those in other disciplines, when they do so their collaborations tend to be more international than in many Science and Engineering, and Social Sciences disciplines. DH authors in some countries (e.g. Spain, Finland, Australia, Canada, and the UK) have the highest international co-author rates, while others have high national co-author rates but low international rates (e.g. Japan, the USA, and France).

This study is the first DH co-authorship network study that explores the apparent connection between language and collaboration patterns in DH. It contributes to ongoing debates about diversity, representation, and multilingualism in DH and academic publishing more widely.

This article discusses downloading from OPACs in general and from the INNOPAC system in particular. It begins by setting out a brief philosophy of downloading, providing an introduction to OPAC downloading. It then discusses the practice of OPAC downloading with particular emphasis on tools for capturing and “postprocessing” downloaded flies. Technical and institutional constraints on downloading are addressed and an innovative program for overcoming some of these constraints is described in detail. The article concludes by considering various proposals for improving INNOPAC downloading capabilities.

Libraries must actively support humanities text files, but we must remember that to focus exclusively on texts tied to specific systems is to put ourselves in opposition to the needs of the researchers we intend to serve. A working model of the sort of system and resource provision that is appropriate is described. The system, one put in place at the University of Michigan, is the result of several years of discussions and investigation. While by no means the only model upon which to base such a service, it incorporates several features that are essential to the support of these materials: standardized, generalized data; the reliance on standards for the delivery of information; and remote use. Sidebars discuss ARTFL, a textual database; the Oxford Text Archive; InteLex; the Open Text Corporation; the Text Encoding Initiative (TEI); the machine‐readable version of the Oxford English Dictionary, 2d edition; and the Center for Electronic Texts in the Humanities.

Resource-based view (RBV) theory (Barney, 1991; Barney and Mackey, 2016; Nagano, 2020) states that a firm’s tangible and intangible resources can represent a sustainable competitive advantage (SCA), a long-term competitive advantage that is extremely difficult to duplicate by another firm, when it meets four criteria (i.e. not imitable, are rare, valuable and not substitutable). In the context of this case, we believe there are three sources of SCA to be discussed using RBV – the major league soccer (MLS) team player roster, the use of artificial intelligence (AI) technologies to exploit this roster and the league’s single-entity structure: • MLS players: it has been widely acknowledged that a firm’s human resource talent, which includes professional soccer players (Omondi-Ochieng, 2019), can be a source of SCA. For example, from an RBV perspective, a player on the Los Angeles Galaxy roster: > cannot play for any other team in any other league at the same time (not imitable and are rare), > would already be a competitive player, as he is acquired to play in the highest professional league in the country (valuable) and > it would be almost impossible to find a clone player matching his exact talent characteristic (not substitutable) anywhere else. Of course, the roster mix of players must be managed by a capable coach who is able to exploit these resources and win championships (Szymanski et al., 2019). Therefore, it is the strategic human resource or talent management strategies of the professional soccer team roster that will enable a team to have the potential for an SCA (Maqueira et al., 2019). • Technology: technology can also be considered a source of SCA. However, this has been a source of contention. The argument is that technology is accessible to any firm that can afford to purchase it. Logically, any MLS team (or for that matter any professional soccer team) can acquire or build an AI system. For many observers, the only obvious constraint is financial resources. As we discuss in other parts of the case study, there is a fan-based assumption that what transpired in major league baseball (MLB) may repeat in the MLS. The movie Moneyball promoted the use of sabermetrics in baseball when making talent selection (as opposed to relying exclusively on scouts), which has now evolved into the norm of using technology-centered sports analytics across all MLB teams. In short, where is the advantage when every team uses technology for talent management? However, if that is the case, why are the MLB teams continuing to use AI and now the National Basketball Association (NBA), National Football League (NFL) and National Hockey League are following suit? We believe RBV theorists have already provided early insights: > “the exploitation of physical technology in a firm often involves the use of socially complex firm resources. Several firms may all possess the same physical technology, but only one of these firms may possess the social relations, cultural traditions, etc., to fully exploit this technology to implementing strategies…. and obtain a sustained competitive advantage from exploiting their physical technology more completely than other firms” (Barney, 1991, p. 110). • MLS League Single-Entity Structure: In contrast to other professional soccer leagues, the MLS has one distinct in-built edge – its ownership structure as a single entity, that is as one legal organization. All of the MLS teams are owned by the MLS, but with franchise operators. The centralization of operations provides the MLS with formidable economies of scale such as when investing in AI technologies for teams. Additionally, this ownership structure accords it leverage in negotiations for its inputs such as for player contracts. The MLS is the single employer of all its players, fully paying all salaries except those of the three marquees “designated players.” Collectively, this edge offers the MLS unparalleled fluidity and speed as a league when implementing changes, securing stakeholder buy-ins and adjusting for tailwinds. The “socially complex firm resources” is the unique talent composition of the professional soccer team and most critically its single entity structure. While every team can theoretically purchase an AI technology talent management system, its application entails use across 30 teams with a very different, complex and unique set of player talents. The MLS single-entity structure though is the resource that supplies the stability required for this human-machine (technology) symbioses to be fully accepted by stakeholders such as players and implemented with precision and speed across the entire league. So, there exists the potential for each MLS team (and the MLS as a league) to acquire SCA even when using “generic” AI technology, as long as other complex firm factors come into play.

This case relied on information that was widely reported within media, press interviews by MLS officials, announcements by various organizations, journal articles and publicly available information on MLS. All of the names and positions, in this case, are actual persons.

MLS started as a story of dreaming large and of quixotic adventure. Back in 1990, the founders of the MLS “sold” the league in exchange for the biggest prize in world soccer – the rights to host the 1994 Fédération Internationale de Football Association World Cup before they even wrote up the business plan. Today, the MLS is the highest-level professional men’s soccer league competition in the USA. That is a major achievement in just over 25-years, as the US hosts a large professional sports market. However, MLS has been unable to attract higher broadcasting value for its matches and break into the highest tier of international professional soccer. The key reason is that MLS matches are not deemed high quality content by broadcasters. To achieve higher quality matches requires many inputs such as soccer specific stadiums, growing the fan base, attracting key investors, league integrity and strong governance, all of which MLS has successfully achieved since its inception. However, attracting high quality playing talent is a critical input the MLS does not have because the league has repeatedly cautioned that it cannot afford them yet to ensure long-term financial sustainability. In fact, to guarantee this trade-off, the MLS is one of the only professional soccer leagues with an annual salary cap. So, the question is: how does MLS increase the quality of its matches (content) using relatively low cost (low quality) talent and still be able to demand higher broadcast revenues? One strategy is for the MLS to use AI playing technology to extract higher quality playing performance from its existing talent like other sports leagues have demonstrated, such as the NFL and NBA. To implement such a radical technology-centric strategy with its players requires the MLS to navigate associated issues such as human-machine symbioses, risking fan acceptance and even altering brand valuation.

The case is written and designed for a graduate-level (MBA) class or an upper-level undergraduate class in areas such as contemporary issues in management, human resource management, talent management, strategic management, sports management and sports marketing. The case is suitable for courses that discuss strategy, talent management, human resource management and brand strategy.