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This paper reviews literature on the application of intelligent systems in the libraries with a special issue on the ES/AI and Robot. Also, it introduces the potential of libraries to use intelligent systems, especially ES/AI and robots.

Descriptive and content review methods are applied, and the researchers critically reviewed the articles related to library ESs and robots from Web of Science as a general database and Emerald as a specific database in library and information science from 2007–2017. Four scopes considered to classify the articles as technology, service, user and resource. It is found that published researches on the intelligent systems have contributed to many librarian purposes like library technical services like the organization of information resources, storage and retrieval of information resources, library public services as reference services, information desk and other purposes.

A review of the previous studies shows that ESs are a useable intelligent system in library and information science that mimic librarian expert’s behaviors to support decision making and management. Also, it is shown that the current information systems have a high potential to be improved by integration with AI technologies. In this researches, librarian robots mostly designed for detection and replacing books on the shelf. Improving the technology of gripping, localizing and human-robot interaction are the main concern in recent librarian robot research. Our conclusion is that we need to develop research in the area of smart resources.

This study has a new approach to the literature review in this area. We compared the published papers in the field of ES/AI and robot and library from two databases, general and specific.

In order to estimate the value of semi-automated subject indexing in operative library catalogues, the study aimed to investigate five different automated implementations of an open source software package on a large set of Swedish union catalogue metadata records, with Dewey Decimal Classification (DDC) as the target classification system. It also aimed to contribute to the body of research on aboutness and related challenges in automated subject indexing and evaluation.

On a sample of over 230,000 records with close to 12,000 distinct DDC classes, an open source tool Annif, developed by the National Library of Finland, was applied in the following implementations: lexical algorithm, support vector classifier, fastText, Omikuji Bonsai and an ensemble approach combing the former four. A qualitative study involving two senior catalogue librarians and three students of library and information studies was also conducted to investigate the value and inter-rater agreement of automatically assigned classes, on a sample of 60 records.

The best results were achieved using the ensemble approach that achieved 66.82% accuracy on the three-digit DDC classification task. The qualitative study confirmed earlier studies reporting low inter-rater agreement but also pointed to the potential value of automatically assigned classes as additional access points in information retrieval.

The paper presents an extensive study of automated classification in an operative library catalogue, accompanied by a qualitative study of automated classes. It demonstrates the value of applying semi-automated indexing in operative information retrieval systems.

This study aims to investigate how domestic and international undergraduate students from a university in Ontario, Canada, defined locally grown food and examined the factors behind their locally grown food purchase intentions.

Questionnaires were distributed in the School of Hospitality, Food, and Tourism Management undergraduate classes. A total of 196 complete surveys were returned. Using multiple regression analysis and theory of planned behavior (TPB) as a theoretical framework with an additional construct, moral norm, proposed hypotheses were tested.

Domestic students narrowly defined locally grown food based on distance (e.g. food grown/raised within 100 km of where a person lives) compared to international students (e.g. food grown in Canada). The multiple regression analysis revealed that 36% of variance in purchase intention is explained by the four independent variables (i.e. student status, attitude, perceived product availability and moral norm), with perceived product availability as the strongest predictor of intention to purchase locally grown food.

The convenience sampling method limitations are as follows. First, the sample size was small for international students. Second, there was a possibility of underrepresentation of certain origins of international student populations. Third, the undergraduate respondents were from the School of Hospitality, Food and Tourism. Finally, another limitation is that the four variables in this study (i.e. attitudes, subjective norms, perceived product availability, and moral norm) only explained 36% of the variance of this model.

Perceived product availability, moral norm and attitude constructs positively influenced the locally grown food purchase intention. A perceived product availability construct revealed the strongest influence in locally grown food purchase intention of students. Particularly, five key questions were created based on the major research findings of this study, which can be used as a guideline for locally grown food providers and farmers when promoting locally grown food to students. These questions include: Where can I find it? When can I find it? Who grows it? How can I benefit others? Why is it good for me?

The results of this study shown that which factors influence locally grown food purchase intention of students. Hence, local restaurateurs and university dining facilities may incorporate these factors in their marketing message to serve students population better who might be interested in buying food products using locally grown ingredients. Research results also allow local farmers to communicate and inform their current and potential student consumers about the advantages of locally grown food. Overall, findings can contribute to economy and business of local community.

Current research findings verified that there is a significant use of a moral norm construct to predict locally grown food purchase intention of students. The moral norm construct positively influenced the locally grown food purchase intention in this study, and this construct seemed useful to predict locally grown food purchase intention of students. Additionally, the research discovered that there were differences in domestic and international undergraduate students' perception in the locally grown food definition.

Economic Society 5.0 is the answer to the challenges of the Industrial Revolution 4.0 through the creation of new value from the development of advanced technology that aims to reduce the gap between human and economic problems. Excellent human resources and adequate digital infrastructure are requirements in an Economic Society 5.0. Cooperatives as community economic organizations are players in the Industrial Revolution 4.0. Because of low competitiveness, cooperatives cannot create new and sustainable income streams, particularly digitalization capabilities. This study aims to encourage the competitiveness of cooperatives in the West Java region, Indonesia, in an Economic Society 5.0 by identifying the correlation between digital capabilities, digital orientation, employee resistance, government support, digital innovation and competitiveness.

This study uses a quantitative method through surveys as data collection techniques by distributing questionnaires to 386 leaders of cooperatives in West Java. Hypothesis testing uses analysis technique of structural equation modeling with partial least squares tool.

There are five hypotheses that are supported in the proposed model in this study. Digital orientation and government support have a positif and significant effect on digital innovation, in contrary; digital capability and employee resistance do not show any effect. Digital orientation, government support and digital capability also have a positive and significant effect on competitiveness. Meanwhile, employee resistance and digital innovation have no significant effect on competitiveness. Digital innovation was also found not to mediate the relationship between digital orientation, government support, digital capability and employee resistance with competitiveness.

This study provides new insights into the study of cooperatives as community’s economic institutions. This study adds empirical evidence of the factors that influence the competitiveness of cooperative institutions in Indonesia as a driver of the community’s economy. This study also provides practical implications for the development of cooperative competitiveness in developing countries, particularly in Indonesia.

The purpose of this paper is to describe a range of innovative (for public library performance measurement and impact assessment) methods and tools developed by country teams as part of the Global Libraries (GL) initiative. Short reports are provided on: a return on investment study, a simplified data processing system for library managers and an online reporting system for public libraries in Ukraine; a study of the public image of Polish libraries in print mass media, two approaches to sustainability of performance measurement and impact assessment in Romania, through tools to conduct pop-up surveys and use of agricultural subsidies support data, assessments of changes in public library managers’ planning efforts in Poland and of their perceptions of libraries and their own role, using Modified Delphi forecasting, in Lithuania, two ways of focussing on the world of public library users by engaging non-profit organizations in library research in Poland and conducting impact studies in virtual environments in Chile.

A range of methods and tools and their uses are described.

No specific research findings are reported.

All of these tools and methods have been (or are being) trialed in national public library contexts; some have been developed over several years.

Useful for people in other (non-GL) countries who may be contemplating public library evaluation at regional, national or local level or who are interested in performance measurement and impact evaluation.

This paper is part of a GL effort to share what participants have learnt about impact planning and assessment in public libraries with the wider international libraries community.

The impact planning and assessment program of GL has been the largest sustained international public library evaluation program so far attempted. This paper reports on the more innovative evaluation activities undertaken at country level through this program.

This study aims to explore the potentials of adopting salam-based crowdfunding for financing the agricultural sector in Afghanistan.

It adopts a triangulation approach, consisting of a number of methods used in gathering relevant information about Afghanistan’s agricultural sector, the concept of crowdfunding and salam (forward sale) contract. These methods include library research, reviewing documents provided by Afghanistan’s banks and semi-structured interviews with Islamic finance experts.

This study finds that salam-based crowdfunding is a viable Sharīʿah-compliant investment platform, which may offer some advantages for both potential investors and farmers or entrepreneurs.

The novelty of this paper lies in the proposed structure of salam-based crowdfunding.

This paper examines whether farmers' knowledge of the minimum support prices (MSPs) affects farm-gate prices. MSP is the minimum guaranteed price for agricultural commodities announced by the Government of India for 24 commodities. Most farmers in India prefer to sell their produce at the farm-gate due to a small marketable surplus and hence do not directly benefit from MSP. The authors test the common argument in the political discourse that if farmers have knowledge of MSP, then they can bargain with traders during the farm-gate transaction and demand a better price close to MSP.

The authors use matching methods to examine the impact of knowledge of MSP on farm-gate prices.

Using nationally representative data, the authors show that there is no empirical evidence that the knowledge of MSP of the crops leads to higher bargaining power and better farm-gate prices.

Price information (MSP in this case) alone cannot improve the bargaining power of farmers and result in a better price realization. As a safety net, MSP fails in the absence of procurement of products by the government. This also raises the question of the equitability of the price support system in India and calls for a rethink of the MSP policy.

This study is the first of its kind to examine the anchoring effect of knowledge of MSP on farm-gate prices using a nationally representative dataset.

The purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal Classification (UDC), using machine-learning methods.

The general research approach is inherent to design science research, in which the problem of UDC assignment of the old, digitised texts is addressed by developing a machine-learning classification model. A corpus of 70,000 scholarly texts, fully bibliographically processed by librarians, was used to train and test the model, which was used for classification of old texts on a corpus of 200,000 items. Human experts evaluated the performance of the model.

Results suggest that machine-learning models can correctly assign the UDC at some level for almost any scholarly text. Furthermore, the model can be recommended for the UDC assignment of older texts. Ten librarians corroborated this on 150 randomly selected texts.

The main limitations of this study were unavailability of labelled older texts and the limited availability of librarians.

The classification model can provide a recommendation to the librarians during their classification work; furthermore, it can be implemented as an add-on to full-text search in the library databases.

The proposed methodology supports librarians by recommending UDC classifiers, thus saving time in their daily work. By automatically classifying older texts, digital libraries can provide a better user experience by enabling structured searches. These contribute to making knowledge more widely available and useable.

These findings contribute to the field of automated classification of bibliographical information with the usage of full texts, especially in cases in which the texts are old, unstructured and in which archaic language and vocabulary are used.

The purpose of this paper is to report on performance measurement and impact assessment progress made in 14 countries as part of the Global Libraries initiative, starting with the early country grants in Mexico and Chile. For the mature grants in Bulgaria, Botswana, Poland, Romania, Ukraine and Viet Nam which were recently completed or are approaching completion, the nature of the country program is outlined, before the impact assessment work is described and some recent results and conclusions are reported. A similar approach is adopted with pilot and new grants in Colombia, Indonesia, South Africa, Turkey and Lithuania.

The country reports are presented as a series of case studies, in some cases supplementing those in an earlier special issue of this journal.

Where appropriate, recent country-specific survey findings are reported.

This paper shares Global Libraries IPA learning at country level with people in other countries who may be contemplating public library evaluation at regional, national or local level or who are interested in performance measurement and impact evaluation.

These cases studies reflect concentrated impact assessment and performance measurement work at country level across a range of countries over more than 12 years.

This study aims to discuss how an online community interacts with a local community during the entrepreneurial process. By having a contextualized view of entrepreneurship, this study acknowledges the social and spatial dynamics of the process.

The inductive approach used in this study is empirically anchored in the case “the library revolt”. This paper analysed interviews conducted in a selected region in Sweden and followed a netnographic method to capture the social interactions online. By using qualitative modes of inquiry, this study attempts to illuminate the social aspects of the entrepreneurial process.

This study shows how social media works as a contextual element in entrepreneurship. By presenting interactions between an online community and a rural community, it is shown how entrepreneurial processes in rural areas can be shaped not only through local community relations but also by online interaction. It illustrates how an online context, where actors are located with their own unique set of resources, contributes to rural development. By being a part of an ongoing process of structuration, we can view the actors are gaining access to the resources online, which contributes to the change happening in a local community.

This study adds to the conversation of the role of context in entrepreneurship studies. Rural entrepreneurship largely discusses the local social bonds and actions, while this study includes the online social bonds as a part of the reality in which entrepreneurship is developed.