Digital resources integration under the knowledge management model: an analysis based on the structural equation model

Key features of digital library management system (DLMS) for developing digital libraries: An investigation from LIS practitioners in Pakistan

The main objectives of the study were to identify key features of the digital library management system (DLMS) for developing and managing digital libraries, to reveal the satisfaction level of the library professionals in using digital library management system, and the problems being encountered in using these systems. The current study was quantitative in nature as quantitative measures were applied through a survey research strategy. Keeping in view the nature of the study, a purposive sampling technique was used to collect data from the target librarians who had been involved in operating digital library systems for building digital libraries in their respective libraries. Descriptive and inferential statistical tests were used to analyze the data. Findings revealed that in most of the university libraries in Pakistan, free and open source software (FOSS) had been implemented. DSpace was the most widely used software by library professionals in Pakistan. Key features of the digital library software included a user-friendly interface, customization, reliability and security, use of metadata standards (Dublin Core), web-based, advanced searching, consultancy and technical support, sharing e-books to devices (mobile, tabs), full-text searching, use of Boolean operators, and access control. The study recommended that library professionals of universities should be careful in planning library digitization and they should consider the above features before implementing any digital library software in their libraries.

Analyzing the impact of technology incentives on community digital inclusion using structural equation modeling

Purpose

This study aims to assess whether technological incentives inspire communities in the process of digital inclusion. The factors analyzed by the authors assess five dimensions: technology incentives, technology utilization, searching skills, social integration, and capabilities.

Design/methodology/approach

Data were collected from 329 respondents in 14 public libraries and analyzed using structural equation modeling to validate the proposed research model and its relationships with the factors the authors analyzed.

Findings

The results showed that technological incentives significantly impact on technology utilization, searching skills, social integration, and capabilities to support community digital inclusion in Pakistan.

Practical implications

Technological incentives to the community will lead to the improvement of network technology for things like online taxation, banking transactions, social integration, participation in government, and modern health and education benefits. In addition, technological incentives will also enhance information literacy and digital access, helping people improve cognitive skills and critical thinking and also helping to develop skills.

Originality/value

This research is based on raw data first collected from various people with different opinions from the Khyber Pakhtunkhwa public libraries. This study was conducted to gain a deeper understanding of the overall situation related to the use of technology in Pakistan and the complications involved.

Digital Resources Integration and Performance Evaluation Under the Knowledge Management Model in Academic Libraries

Leveraging a knowledge management model (KMM), organizing digital resources, and measuring performance beyond digital libraries continue to be hot topics for many organizations. Given its growing importance, the aim of this study was to design a robust integrated research model based on social cognitive theory and KMM to organize resources and improve the productivity of academic librarians to make services effective. Using a quantitative method based on key data collected by librarians at Pakistani universities, the researchers reviewed previously published literature and sought expert opinions to develop a research tool. The authors distributed 350 printed questionnaires to professionals from 190 universities, of which 339 were returned. These were analyzed to test the hypotheses and assess the accuracy of the measurement and structural models. After undergoing rigorous statistical analysis, the seven constructs using Social Cognitive Theory and the Knowledge Management Model have proven to be suitable for digital asset integration, employee productivity measurement, and high-quality academic services. In addition, the model based on social cognitive theory supports the application of KMM to promote knowledge culture, resource organization, and successful integration and innovation of academic services by enhancing the technical and professional skills of staff in academic institutions.

Knowledge-based society and emerging disciplines: a correlation of academic performance

Purpose

Digital libraries promote and accelerate scientific research in academic institutions. The subscribed database resources of digital libraries have become an increasingly valuable asset for researchers. Database resources help generate new ideas, determine research directions and promote productive academic interaction between teachers and students in the information age. The purpose of this study is to examine the use of electronic resources by students in various databases, the research productivity of the faculty in the science network and the number of students who graduate each year.

Design/methodology/approach

This study uses a quantitative method to collect secondary data from the central database of the Higher Education Commission (HEC) for the population of 26 universities for 2 years (2015–2016). In addition to the HEC digital library, data was also collected from the Web of Science to determine the quality academic performance of faculty and researchers. Moreover, in the study, the total strength of teaching staff and doctoral faculty was extracted from the HEC website for investigation. The authors applied the Spearman’s correlation test to the secondary data using Statistical Package for Social Sciences version 25.

Findings

The correlation results of the enrolled students and the downloaded papers from various databases were statistically insignificant (p > 0.05). However, the result showed a positive correlation (p < 0.05) between the use of selected/known databases from a number of databases accessed by the HEC. More importantly, it turns out that the faculty’s productivity in the scientific network and the number of students who graduated from public and private universities are found to be insignificant (p > 0.05). However, the authors found a positive correlation (p < 0.05) between doctoral and non-doctoral faculties, which show that a significant number of non-doctoral faculties are still actively involved in teaching and research.

Originality/value

Research based on academic activities by faculties and students, performed for the first time on the basis of secondary data, will help the HEC and university management to determine the right direction and develop plans to improve academic performance and research quality.