How and where is artificial intelligence in the public sector going? A literature review and research agenda

To obtain benefits in the provision of public services, managers of public organizations have considerably increased the adoption of artificial intelligence (AI) systems. However, research on AI is still scarce, and the advance of this technology in the public sector, as well as the applications and results of this strategy, need to be systematized. With this goal in mind, this paper examines research related to AI as applied to the public sector. A review of the literature covering articles available in five research databases was completed using the PRISMA protocol for literature reviews. The search process yielded 59 articles within the scope of the study out of a total of 1682 studies. Results show a growing trend of interest in AI in the public sector, with India and the US as the most active countries. General public service, economic affairs, and environmental protection are the functions of government with the most studies related to AI. The Artificial Neural Networks (ANN) technique is the most recurrent in the investigated studies and was pointed out as a technique that provides positive results in several areas of its application. A research framework for AI solutions for the public sector is presented, where it is demonstrated that policies and ethical implications of the use of AI permeate all layers of application of this technology and the solutions can generate value for functions of government. However, for this, a prior debate with society about the use of AI in the public sector is recommended.     

Where's the value? The worth of public libraries: A systematic review of findings,methods and research gaps

Existing research argues that studies of the value of public libraries support libraries by demonstrating their worth to society. Knowledge of research methods, value and research gaps can potentially strengthen the field of value research and support policymaking and development of libraries. Among 16,683 records retrieved from a systematic literature search, 39 studies were selected for systematic review within this topic. Findings indicate that studies focus on examining libraries as valued community assets in several aspects. It is recommended that further research explore how library services enhance democracy, reading and culture. Moreover, further research is needed that systematically reviews how libraries articulate their value to stakeholders. Concluding remarks state that value can be a robust measure for emphasising and developing libraries' worth towards society. By systematically reviewing how value is emphasized in activities, libraries are provided with the means to advocate political empathy and to develop towards community needs.     

How does your searching grow? A survey of search preferences and the use of optimal search strategies in the identification of qualitative research

The objective was to gain an overview of researchers experiences of searching the literature, with particular reference to the use of optimal search strategies (OSSs) and searching for qualitative research studies. A 13-item semi-structured questionnaire investigating search behaviour was distributed to members of the Cochrane Qualitative Methods Network. Follow-up interviews were conducted with a subset of respondents to explore issues raised and clarify points of ambiguity. Findings were analysed using data reduction, data displays and verification techniques. Eighty-six per cent of distributed questionnaires were returned. All respondents reported searching electronic databases as part of their literature search, with 80% expressing a preference for searching alone or with colleagues. Forty-one per cent indicated that they consider a database search to be only one aspect of a comprehensive literature search. The rigour and availability of OSSs was a concern for 30% of respondents. Twenty-five per cent of respondents had searched for qualitative studies, although the difficulty of locating this type of literature was considered problematic because of the varied use of the term 'qualitative'. Whilst the majority of respondents reported using OSSs in some capacity, reservations were expressed about their ability to facilitate a comprehensive search. Replies indicated a belief that OSSs can reduce the sensitivity of a search, and might limit the breadth of coverage required. A greater appreciation of the availability and purpose of OSSs-including the ability to optimize either sensitivity or recall-is needed if this enhanced approach to accurate data retrieval and potential improvement in time management is to become widespread.     

How important is software to library and information science research? A content analysis of full-text publications

We investigate the contributions of scientific software to library and information science (LIS) research using a sample of 572 English language articles published in 13 journals in 2008, 2011, 2014, and 2017. In particular, we examine the use and citation of software freely available for academic use in the LIS literature; we also explore the extent to which researchers follow software citation instructions provided by software developers. Twenty-seven percent of the LIS journal articles in our sample explicitly mention and use software. Yet although LIS researchers are becoming increasingly reliant on software that is freely available for academic use, many still fail to include formal citations of such software in their publications. We also find that a substantial proportion of researchers, when documenting software use, do not cite the software in the manner recommended by its developers.     

What's in your list?: A survey of business database holdings and funding sources at top academic institutions

The present study reports the online business database holdings of the top academic institutions in the United States, which databases are paid for by which entities on campus, and some of the most common and most desired business databases. An invitation to participate in an online survey was sent to 91 top institutions of which 39 institutions participated. The results show a wide variety of information resources are considered core business resources in contemporary business librarianship and imply an increasing importance of cost sharing in providing the databases to support research and efforts to commercialize research.     

What type of algorithm is perceived as fairer and more acceptable? A comparative analysis of rule-driven versus data-driven algorithmic decision-making in public affairs

Various types of algorithms are being increasingly used to support public decision-making, yet we do not know how these different algorithm types affect citizens' attitudes and behaviors in specific public affairs. Drawing on public value theory, this study uses a survey experiment to compare the effects of rule-driven versus data-driven algorithmic decision-making (ADM) on citizens' perceived fairness and acceptance. This study also examines the moderating role of familiarity with public affairs and the mediating role of perceived fairness on the relationship. The findings show that rule-driven ADM is generally perceived as fairer and more acceptable than data-driven ADM. Low familiarity with public affairs strengthens citizens' perceived fairness and acceptance of rule-driven ADM more than data-driven ADM, and citizens' perceived fairness plays a significant mediating role in the effect of rule-driven ADM on citizens' acceptance behaviors. These findings further imply that citizens' perceived fairness and acceptance of ADM is strongly shaped by how they perceive familiarity of the decision-making context. In high-familiarity AI application scenarios, the realization of public values may ultimately not be what matters for ADM acceptance among citizens.     

In the right vein? How adequately are departments of information and library studies educating for health care information management and library services in a changing health service?

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