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This stud aims to analyze the influence that the enabling and coercive management control systems (MCS) have on the individuals’ mental representations and their commitment to goals, satisfaction with the system and perceived organizational support. Under the lens of the construal level theory (CLT), it is assumed that: individuals exhibit more positive behaviors when the MCS is enabling rather than coercive; the effects of MCS on the behavior of individuals are explained by the way they mentally represent events; and these effects are intensified or mitigated according to the psychological distance.

The predictions were tested in an experiment with 131 undergraduate students, assuming a company that decides to implement a performance measurement system.

The results show that enabling MCS are interpreted more abstractly (high level of construction) and coercive MCS are represented more concretely (low level of construction). Furthermore, enabling systems lead to more positive behaviors (commitment to goals and perceived organizational support) than coercive ones, however, the satisfaction with the MCS is affected by both depending on psychological distance.

The CLT allowed broadening the understanding of the effects of enabling and coercive controls on individuals’ behavior, by assuming that mental representation can explain individuals’ behaviors. To the best of the authors’ knowledge, this study is the first to point out that temporal distance can attenuate the negative effects of coercive MCS on satisfaction with the system.

This article aims to explore how the mapping strategies between user requirements expressed by the humanities researchers lead to a better customization of user-driven digital humanities tools and to the creation of innovative functionalities, which can directly affect the way of doing research in a digital context.

It describes the user-driven development of a tool that helps researchers in the quantitative and qualitative analysis of large textbook collections.

This article presents an exemplary user journey map, which shows the different steps of the digital transformation process and how the humanities researchers are involved for (1) producing innovative research solutions, comprehensive and personalized reports, and (2) customizing access to content data used for the analysis of digital documents. The article is based on a case study on a German textbooks collection and content analysis functionalities.

The focus of this article is the reiterative research process, in which humanists (from the human centred point of view) starts from an initial research question, using quantitative and qualitative data and develops both the research question and the answers to it by with the aim to find patterns in the content and structure of educational media. Thus, from the viewpoint of digital transformation the humanist is part of the interaction between digitization and digitalization processes, where he/she uses digital data, metadata, reports and findings created and supported by the digital tools for research analysis.

Drawing upon a contractarian lens of corporate social responsibility (CSR), this study aims to explore community construals of happiness and evaluates conceptual boundaries of CSR for happiness.

Using a mixed-methods design, natural language processing and thematic analysis techniques were used to analyse large volumes of textual survey data collected from over 1,000 research participants through an online survey.

Results indicated that lay construals of happiness were primarily defined in terms of socioeconomic conditions and psychoemotional experiences. In explicating the boundary conditions, community perceptions regarding the extent of businesses’ social responsibilities for happiness were evidenced in five themes: that businesses have a responsibility not to harm happiness, a responsibility to enable conditions for happiness to occur, a responsibility to exercise awareness of happiness implications in decision-making, a responsibility for happiness that is limited by strategic purpose and resource capability and a responsibility for happiness that is limited by stakeholder proximity.

This study contributes to the theoretical and empirical foundation of CSR for happiness while simultaneously developing and applying a novel approach for processing and analysing large volumes of qualitative survey-based data.

Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.

We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.

Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.

Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.

This study aims to explore the implications of a recent case in spring 2022 where the novel Dracula went “viral” as tens of thousands of Tumblr users participated in a serialized re-reading and discussion of the text through the hashtags #dracula and #dracula daily.

The authors use a mixed-methods sequential explanatory design approach (quant: topic modeling; qual: multimodal content analysis) to examine how users describe their own practices as well as top posts (more than 25,000 likes, comments and reblogs) in the first month of the collective reading of the novel.

The authors found that the serialization of Dracula made space for “wandering reading practices” (Chavez, 2010) relevant to this interpretive community on Tumblr. The quantitative methods determined specific affective, intertextual and serialized aspects of textual play that were salient to readers. In top posts themselves, the authors saw readers creating metaleptic content imagining characters like the protagonist Jonathan in other novels or contexts, as well as processing and playing with their collective emotional responses toward characters. Additionally, readers used irony or satire through multimodal compositions to create literary arguments.

Playfully analyzing literature together through intertextual connections and multimodal memes has the potential to be both emotionally resonant, culturally relevant and supportive of literary interpretive practices. Based on these findings, the authors provide suggestions for teachers working to embrace interpretive play in formal learning spaces.

This study aims to determine if automated coding with regular expression is a strong methodology to identify themes in virtual reference chat.

The authors used a combination of manual and automated coding of chat transcripts for a period of two years to identify the categories of questions related to the new library system. This methodology enabled them to determine if regular expression accurately identified the topics of chat transcripts.

They discovered that regular expression is an appropriate method to identify themes in virtual reference interactions. This method enabled them to establish that patrons asked questions related to system changes in the weeks following their implementations.

This study highlights a new methodology for transcript analysis.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.

Cultural heritage and memory are essential mechanisms for the formation of individual and group identity, contributing to a sense of belonging in society. More specifically, built heritage (the buildings, structures and monuments associated with our cultural history) reflect our individual and collective decisions about what is important to preserve and remember into the future, further shaping our identities as citizens of Waterford. Thus, our relationship with heritage is just as much about looking forward into our social imagination for the future of Waterford city as it is about reflecting on our past.

Sites of Conscience are a specific type of built heritage which signify a society's belief that by remembering difficult pasts we can interrogate our current lived realities and create meaningful change in the future (International Coalition for Sites of Consciousness, 2022). Sites of Conscience are akin to what French historian Pierre Nora (1989) referred to as ‘les lieux de mémoire’, or places of memory. These physical spaces can connect past traumas and struggles to our present lives. As places of memory which ask us to acknowledge the past, Sites of Conscience can prevent the erasure of historical traumas and stand as an act of restorative justice, providing safe spaces for citizens to engage with difficult memories.

One such site of conscience in Waterford is the complex of buildings located at the College Street Campus of the South East Technological University. The site comprises the former convent of the Congregation of Our Lady of Charity of the Good Shepherd of Angers (commonly known as the Good Shepherd Sisters); the St Mary's Good Shepherd (Magdalene) Laundry; and St Dominick's Industrial School. The site was occupied in 1884 and the Laundry operated until its closure in 1982 (Department of Justice, 2013). This chapter will consider the former Magdalene Laundry and Industrial School's cultural and heritage significance to Waterford as a site of conscience, which encourages the citizens of Waterford not only to connect our past to our present, but to connect these memories to current actions to create a more just society into the future.

The built heritage of this complex acts as a powerful memory aide of a shared local history, allowing citizens to connect this past to related contemporary human rights issues. In this way, the former Laundry and Industrial School can stimulate discussions on gendered violence today, or to interrogate modern forms of institutionalisation such as Direct Provision. The chapter will further consider how these connections are even more important when our need to remember and recognise past atrocities are met with social, political, economic or cultural pressure to forget. Sometimes the desire for erasure is understandable; we want to commit events to the past and move on. However, such erasure can further disempower survivors of these institutions; prevent current and future generations from learning critical lessons; and dismantle future opportunities for healing and reconciliation. In this context, Sites of Conscience offer an opportunity to connect a difficult past to visions of a more socially just city of the future.

Digital humanities (DH) is a scholarly lens through which computing methods and technological tools are used for the research of humanistic disciplines. The purpose of this study is to identify the current practicing situation of DH in the university libraries of Bangladesh.

Survey methods were used for gathering data using a well-structured questionnaire. The websites of different universities national and international organizations, and DH-related websites from different corners of the globe were also used for the gathering of data and information.

The findings revealed that there are some hindrances to practicing DH, such as lack of IT skills, funds and problems with intellectual property rights act practicing and provided some suitable suggestions for the advancement of DH in the university libraries of Bangladesh.

The outcome of this paper might be a valuable reference tool for researchers and professionals of the DH discipline. The insights and views of the respondents regarding computational tools and technologies obtained from this study are original and unique in nature.

The purpose of this study is to review the application of semantic technologies in cultural heritage (STCH) to achieve interoperability and enable advanced applications like 3D modeling and augmented reality by enhancing the understanding and appreciation of CH. The study aims to identify the trends and patterns in using STCH and provide insights for scholars and policymakers on future research directions.

This research paper uses a bibliometric study to analyze the articles published in Scopus and Web of Science (WoS)-indexed journals from 1999 to 2022 on STCH. A total of 580 articles were analyzed using the Biblioshiny package in RStudio.

The study reveals a substantial increase in STCH publications since 2008, with Italy leading in contributions. Key research areas such as ontologies, semantic Web, linked data and digital humanities are extensively explored, highlighting their significance and characteristics within the STCH research domain.

This study only analyzed articles published in Scopus and WoS-indexed journals in the English language. Further research could include articles published in other languages and non-indexed journals.

This study extensively analyses the research published on STCH over the past 23 years, identifying the leading authors, institutions, countries and top research topics. The findings provide guidelines for future research direction and contribute to the literature on promoting, preserving and managing the CH globally.