Business intelligence in academic libraries in Jordan: Opportunities and challenges

IFLA Journal ◽  
2020 ◽  
pp. 034003522093188 ◽  
Author(s):  
Faten Hamad ◽  
Razan Al-Aamr ◽  
Sinaria Abdel Jabbar ◽  
Hussam Fakhuri

Data plays a major role in helping to understand clearly the changing needs of academic library users, and in helping libraries to innovate their services and procedures accordingly. Data needs to be transformed into information for decision-making and strategic planning. Business intelligence offers powerful analytical tools, such as visualization and data-mining tools, which lead to informed decisions and hence transform the user’s experience, bringing it to a more advanced level. This research investigates the concept of business intelligence from the perceptions of information department staff at academic libraries in Jordan. The opportunities and challenges associated with it are also discussed and explored. As indicated by the results, information department staff agree that business intelligence improves decision-making, helping decision-makers to make the most accurate and timely decisions for the library. The results also indicate that an appropriate infrastructure is important for the successful implementation of business intelligence in academic libraries in Jordan.

Author(s):  
V.V. Antonov ◽  
◽  
K.A. Konev ◽  
G.G. Kulikov ◽  
◽  
...  

The article discusses the issues of improving the efficiency of decision support activities on a relatively large amount of information. The research relevance is associated with the increasing complexity of control objects, which leads to a decrease in the efficiency of decision-making based on the personal experience of decision-makers, up to complete impossibility. The purpose of the ar-ticle is to analyze the problems faced by decision-makers and the creation of methods to improve the effectiveness of decision-making in typical situations. The article examines the main compo-nents of the intelligent subsystem of the decision support system, which require the use of analytical tools, and also forms the methods interaction structure necessary for the effective formation of sce-narios of information support for decision making. To achieve the goals, a decision support method based on an intelligent component was used, which is aimed at creating an effective infrastructure to sup-port decision-making; methods of identification and categorization, designed to implement the most accurate and correct comparison of the characteristics (state) of the observed situation and the characteristics of a typical situation stored in the knowledge base; correlation methods aimed at finding dependencies between the characteristics of situations and scenarios to solve problems associated with these situa-tions; a method for constructing subject qualimetry, used to form a predictive model to assess the degree of compliance of the selected scenario for solving the current situation. As a result, it was de-termined that an important aspect of decision-making in typical situations is the most accurate identification of the state of the situation, the choice of the best scenario for implementing the solu-tion for this situation and the analysis of the consequences of the selected set of measures. To solve these problems, a method for identifying a situation, a method for finding solution scenarios and a qualimetric method for predicting the effectiveness of the selected scenario have been formed. The article concludes that decision-making activities based on the accumulated experience can be im-proved by using the proposed methods and implementing a decision support system with an intelli-gent component.


2016 ◽  
Vol 16 (3) ◽  
pp. 219-229 ◽  
Author(s):  
Daniela Borissova ◽  
Ivan Mustakerov ◽  
Dilian Korsemov

Abstract In the paper a business intelligence tool based on group decision making is proposed. The group decision making uses a combinatorial optimization modeling technique. It takes into account weighted coefficients for evaluation criteria assigned by decision makers together with their scores for the alternatives in respect of these criteria. The proposed optimization model for group decision making considers also the knowledge level of the group members involved as decision makers. This optimization model is implemented in three-layer architecture of Web application for business intelligence by group decision making. Developed Web application is numerically tested for a representative problem for software choice considering six decision makers, three alternatives and 19 evaluation criteria. The obtained results show the practical applicability and effectiveness of the proposed approach.


Author(s):  
Manoj Kumar Sinha

The aim of this chapter is to give an overview of the modernisation of academic libraries in the ICT era, changing format of the library resources and types of computer-based services being offered by the academic libraries. In view of this, the present chapter discusses various aspects of LIS training and user education, emphasising the need to empower our LIS professionals and library users so that they benefit from the new technologies by using new ICTs for exploring the world of knowledge for their academic pursuit and excellence in higher education and research. The first part of the chapter discusses the recent development in the areas of application of ICT in academic libraries, availability, and usage of electronic resources by the library users, new services provided by the academic libraries to their end users. The second part of the chapter highlights the need for empowering LIS professionals working in academic libraries and their end users in electronic / digital era, enumerates the role of various agencies that are engaged in making library users aware of printed as well as e-resources, and explains the role of Web 2.0/Library 2.0 in making library users more interactive and well informed about the resources, products, and services of the academic libraries to their clientele. The third part of the chapter discusses the user education programme/user awareness programme being organised and offered to the students and research scholars by the Assam University Library (Rabindra Library, Silchar) as a case study. While concluding the chapter, some suggestions and recommendations are also discussed in brief.


2006 ◽  
Vol 27 (6/7) ◽  
pp. 494-504 ◽  
Author(s):  
Helen H. Spalding ◽  
Jian Wang

PurposeThe purpose of this paper is to explore the value of marketing in academic libraries and how the marketing concept is applied in practice to marketing academic library services through the experiences of academic libraries across the USA.Design/methodology/approachThe paper focuses on using marketing as a managerial tool to accomplish strategic organizational goals and objectives, discusses challenges and opportunities in academic library marketing, presents examples demonstrating innovative methods that academic libraries have used to market their images and services, and offers suggestions for developing marketing plans and strategies.FindingsThe paper finds that market research allows libraries to understand better the points of view of their student and faculty library users, as well as the perspectives of campus administrations and the community external to the college. The result is that the library is more successful in gaining visibility and support for its efforts, and library users are more successful in making the best use of the services available to them to meet their academic and research goals.Originality/valueThe paper offers practical solutions for academic libraries in the global community.


2014 ◽  
Vol 5 (3) ◽  
pp. 41-57 ◽  
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji

Nowadays, many organizations take Business Intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This paper seeks to identify critical success factors (CSFs) that impact on successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects in Iran. Robust Exploratory Factor Analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational”, “human”, “project management”, and “technical”. The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.


2014 ◽  
Vol 9 (4) ◽  
pp. 78
Author(s):  
Denise Koufogiannakis

A Review of: McClure, C. R., & Samuels, A. R. (1985). Factors affecting the use of information for academic library decision making. College & Research Libraries, 46(6), 483-498. Abstract Objective - To investigate the use of information sources for decision making within academic libraries; specifically looking at what sources of information are used, whether information use is related to organizational climate, and what organizational factors lead to optimal information use in decision making. Design - Cross-sectional survey on a random sample of libraries. Setting - 18 medium to moderately large academic libraries from across the United States. Subjects - 356 academic librarians holding a variety of positions and levels of responsibility within their organizations. Methods - A questionnaire was mailed to participants in order to measure relationships between four main variables: information acquisition, information dissemination, information evaluation, and library climate. All instruments were validated and tested for reliability. Participants were given 10 library decision situations to consider, together with a list of potential information sources to inform the decision, and then choose which information source they would use primarily in each situation. Participants’ perception of their library climate was measured with five scales covering innovation, support, freedom, democratic governance, and esprit. Main Results - The study found that academic librarians prefer internal sources of information, such as interpersonal communication with library staff, and library committees, for making decisions. However, paraprofessional staff members were not seen as meaningful sources of information within this grouping. The participants rarely chose to consult external information sources, such as other professionals outside of the library, or library users. Information sources such as conducting research, continuing education, past experience, or personal opinion were not found to be important to the participants’ decision making. Written documents such as articles, books, and brochures were also seldom used. Democratic governance was the organizational climate dimension found to be most closely linked to information dissemination. Conclusion - The authors conclude that the study suggests that academic librarians are not using a full complement of information sources to assist with their decision making, and that the “information that is used tends to be ‘opinion-based’ rather than empirically based” (p. 495). Proximity of information plays a role, with information that is closer and easier to obtain being used more frequently. The authors strongly stress, with concern, that, “current academic library decision-making processes encourage ineffective activities since they preclude or limit clientele input, empirical research, and additional environmental input” (p. 495).


2018 ◽  
Vol 119 (7/8) ◽  
pp. 422-431 ◽  
Author(s):  
Karen Bordonaro

Purpose The purpose of this paper is to offer practicing academic librarians an overview of adult education theories as a way to more deeply understand and further foster adult learning in academic libraries. Design/methodology/approach This paper is a literature review. Findings This review introduces academic librarians to a range of specific adult education learning theories; it offers examples of academic library users engaging in these types of adult learning; it considers how academic libraries can further foster adult learning; and it identifies major characteristics of adult learners. Originality/value This literature review offers a summative overview of adult education in a way that has not appeared in the library literature to date, along with explicit connections between adult education theories and academic library practices.


2015 ◽  
Vol 795 ◽  
pp. 123-128
Author(s):  
Leszek Kiełtyka ◽  
Klaudia Smoląg

Business intelligence (BI) solutions are aimed to help managers make decisions in enterprises. Through complex analysis, decision-makers are supported in building strategies of operation. Managers in small and medium-sized enterprises (SME) are also becoming more aware of the fact that conventional methodology of analysis of current events is insufficient. Therefore, the need arises for using the solutions that support the processes of data analysis, finding relationships between each other or pointing to important tendencies and anomalies. These systems were primarily oriented at larger enterprises. However, BI solutions are more and more often adjusted to SME enterprises, offering a complex tool to support decision-making processes. This paper presents key stages in evolution of BI systems and characterizes selected BI systems dedicated to small and medium enterprises (SMEs). Substantial barriers to implementation of BI systems in SMEs were also indicated.


2017 ◽  
Author(s):  
Riki Greenberg

This article-based dissertation presents three articles, all studying information behavior of the patrons in an academic library in Israel.This dissertation intends to help academic libraries understand their patrons' information behavior in the second decade of the 21st century and to make library services more available and beneficial to its users. The study presents a unique perspective on library users' academic information behavior from three different aspects. The users', the librarians and systems log files. The study utilizes different methodologies and different research populations to get full and comprehensive insights.


Author(s):  
Wajid Khan ◽  
Fiaz Hussain ◽  
Edmond C. Prakash

The arrival of E-commerce systems has contributed a lot to the economy and also played a vital role in collecting a huge amount of transactional data in the form of online orders and web enquiries, with such a huge volume of data it is getting difficult day by day to analyse business and consumer behaviour. There is a greater need for business analytical tools to help decision makers understand data properly - and understanding data will lead to amazing things such as hidden trends, effective resource utilisation, decision making ability and understanding business and its core values.


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