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This study aims to investigate the usefulness and challenges of personal digital information management (PDIM) as perceived by engineering faculty members.

Quantitative research strategy based on survey design was used to collect data through structured questionnaire. Simple random sampling technique was applied to obtain a representative sample from faculty members of University of Engineering and Technology, Lahore.

Findings indicate that faculty members understand the usefulness of PDIM practices for their teaching and learning. They opined that these practices improve their performance along with effective utilization of resources. PDIM practices save their time, energy and money. Nevertheless, they have to face challenges in managing their personal information in digital format including technology obsolescence, bulk of incoming emails, prediction of future value of information, information fragmentation and memory load in remembering the location of information. It is also noted that PDIM practices are equally useful for both male and female faculty members. However, female faculty members have to face more PDIM challenges than male faculty members.

Overall, findings of the study reveal that there are benefits of PDIM and it is useful for faculty members with certain challenges. This study identified five major challenges. All these challenges were from technological and cognitive psychology domain. It is noted that assessing future value of information plays important role in overall process of PDIM.

The present study would be valuable addition in literature and it would be helpful in devising information literacy instructions programs in academic libraries. This study would also helpful for improving quality services for teaching as required by Pakistan Engineering Council. Findings of this study would helpful for system engineers, software developers and system librarians in designing and developing personal information management systems in Pakistan.

The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered.

The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information.

The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory.

This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM.

Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information.

Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important.

PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.

The unique features of the web, such as hypertext and hypermedia, the large number of web sites with good quality information sources, current developments in electronic commerce, and the developments in digital publishing, are variables working together to provide a fascinating environment wherein diverse teaching and learning experiences can be developed. However, to be successful, courses should be carefully planned. In an environment where more and more tertiary and other institutions are embarking on distance learning programmes, a formal tertiary course can only succeed if it addresses a niche market. Furthermore, if the full advantage of the Internet and the web is to be utilised, the demands on the resources of the specific teaching unit, that is human as well as technical resources, are extremely high. Carefully worked‐out policies and managerial discipline are prerequisites in an environment where successful distance learning courses are being offered. The Postgraduate Diploma in Information Management (PDIM), implemented at the Rand Afrikaans University since 1998, is described as an example of a successful web‐based distance learning programme.