Search results

The aim of this study was to investigate the use of software for the automation of academic libraries in Sialkot. This study consisted of three objectives, including recognizing the reasons to adopt the software for library automation, investigating the problems faced by librarians while using library software and identifying the satisfaction level with the attributes of library software.

A quantitative research approach was used to achieve the objectives of this study. A survey was conducted to collect data from the library information science professionals working in the academic libraries of Sialkot. The data was collected from 46 library professionals through a structured questionnaire.

The findings showed that the economic cost of implementation, maintenance and the software providing multilingual support were the major reasons for adoption of software for the purpose of automation. In this study, compliance with the internet, noncooperation in library automation by university/institution, availability of training facilities, insufficient library budget, a lack of financial/economic resources, staff transfer and a lack of consultancy and technical service were identified as major issues when using library automation software. However, the respondents were quite satisfied with the performance of software attributes including circulation modules, easy to use cataloguing modules, reports’ modules, software attributes of administration modules and multilingual facility.

This study persuades library and information science professionals to automate their libraries through the adoption of library software.

This study aims to develop a model for integration of information and communication technologies (ICTs) in resource sharing practices for enhanced service delivery in academic libraries in Southeast Nigeria. Seven objectives guided the study; ICT-based resource sharing practices in academic libraries in Southeast Nigeria; ICT infrastructure for resource sharing; ICT needs of librarians for resource sharing practices; stages of ICT integration in resource sharing; perception of librarians towards ICT-based resource sharing; challenges to integration of ICT in resource sharing practices; design a model for the integration of ICT into resource sharing; all in academic libraries in Southeast Nigeria.

The research design adopted for this study is the mixed research design containing the “descriptive survey” research design and the “research and development, R&D.” The population of the study is 164, comprising all of the librarians in federal universities in Southeast Nigeria. All of the librarians of the five federal universities will be involved in the study. Hence, there was no sampling. The instrument for data collection is a structured questionnaire.

The findings of the study revealed that 88.8% of the librarians use ICT to boost the volume of resources; while 74% of the librarians were positive in all responses pertaining to ICT-based resource sharing practices in the libraries. The study also revealed that ICT infrastructures in the library for resource sharing are highly available and applicable; while computers and internet networks are the most needed gadgets for the operations. Libraries in Southeast Nigeria are in the applying and transforming stages of ICT adoption at a 69.7% response rate; while the librarians have a strong belief and understanding that a lot can be achieved in resource sharing through ICT; and would recommend such. Poor electrification, inadequate funding and unavailability of some ICT technologies were equally identified as challenges. The study conclusively developed a resource sharing model, the Southeast Federal University Library Connect; accessible at https://southeastfeduniconnect.njh.com.ng

The research study is one of the few types of research that has developed a functional model for resource sharing in academic libraries in Southeast Nigeria.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.

This study aims to increase awareness and educate the reader about health-care fraud targeting seniors in the USA to help stakeholders better understand, recognize and prevent this type of fraud.

This paper collects statistics on the current state of health care frauds committed against seniors, and examines related cases and laws.

The authors find this type of fraud is highly prevalent and expected to increase. Current laws preventing this fraud from occurring are multifold and complex. While prevention strategies through law enforcement have been somewhat successful, a reduction in resources may put seniors at an increased risk in the years to come.

Without additional prevention strategies, the problem will likely escalate with a growing population of older adults. This study encourages further research into effective prevention strategies and methods to fight health-care fraud against seniors.

Health-care fraud and its associated costs pose a significant threat to the society and economy of the USA. Reducing this fraud will not only reduce the costs to the US economy but also improve the physical and mental well-being of senior victims, reduce their mortality and hospitalization rates and improve the public trust placed to health-care providers.

This study highlights how health-care fraud is committed against seniors. With the projected trend of an aging US population, educating stakeholders, increasing awareness and applying tools to protect seniors will be important to reduce the absolute scope of this problem in the future.

The implementation of income-generating still faces problems, such as the lack of well-established internal control and differences in implementation in each unit. This study aims to analyze internal controls, financial viability (FV) and leadership qualities (LQ) in the implementation of income-generating in Indonesian higher education.

This study is quantitative and uses a causal approach. The population of this research is the unit leader and the person in charge of the activity that generates income, with a total sample of 111 people. The sampling technique used is simple random sampling. Data were analyzed using moderation regression analysis (MRA) with the WrapPLS (partial least square) analysis tool.

The results indicate that internal control and FV significantly affect the management of income-generating. The existence of LQ as a moderating variable can moderate and weaken the influence of internal controls and FV on the management of income-generating. In this finding, the unit leader and the person in charge of activities that generate income in higher education need to improve managerial skills, including ethics, uphold integrity, clear vision, quick adaption, honestly and trust so that the management of income-generating can achieve higher education goals more effectively and efficiently.

This research shows that universities need to create a good environment to build an ecosystem that can improve the management. The university encourages the good management by strengthening the leadership. However, the research has a limitation: the study was only conducted in one state university.

The implementation of income generation in the public financial management system of legal entity universities requires accountability for sources of income so that internal controls and the role of finance are needed to ensure the continuity of universities.

This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles.

The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output.

Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users.

The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises.

This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.