Librarian Behaviors, Students’ Personality and Academic Performance: A Case of Public Libraries

While technology has enabled academic libraries to go digital, it requires a librarian with great knowledge and real-world experience to perform the job well. To address this issue, a librarian equipped with skills for digitization and digitalization is key. Academic libraries have always used digitalization to encourage librarian behaviors. This research examines the effects of negative/positive librarian behavior patterns on student personality and academic performance immediately. The project is an endeavor to better understand how teachers\u27 actions impact their students\u27 performance and personality. The present study acknowledges the library education dynamics and the way that student performance and personality are linked to librarian behaviors, specifically in the context of advanced public universities (HEIs). This research involved administering surveys to Pakistani students at HEIs. The investigator requested the students of the HEIs to respond to positive and negative behavior and attitude as exhibited by the librarians. The students proposed that professors and faculty tell students how the behavior of librarians influences their own performance and personality. The investigation found that the student\u27s academic performance and personality were strongly impacted by the librarian\u27s positive feelings, while the librarian\u27s attitude was greatly influenced by the student\u27s performance. This research also offers managerial implications and directions for future study

Unveiling the Usage of Technology in Higher Education Institutions (HEIs) in Pakistan: A Study Employing Multi-Group Analysis (MGA)

Technology has brought changes in the behavioral intentions of students in higher education institutions (HEIs). It also helps them to be creative and innovative during their studies at universities. Literature review reveals that technology acceptance model (TAM) has been widely studied but unfortunately the usage of technology at academia has never been comparatively measured between private and public higher education institutions. This study measures effects of TAM-core variables on academic performance of graduate students of public and private HEIs, additionally, the moderating role of academic self-efficacy between actual usage of social media and academic performance was tested. By using a quantitative method followed by a convenient sampling approach, this study tested multi-group analysis (MGA) by using Smart PLS 3.3.3. The designed survey questionnaire was administered among the students of public and private HEIs. The findings showed that all FOUR dimensions of TAM had a significant impact on academic performance in both public and private HEIs. The moderating role of academic self-efficacy on academic performance was significant in private HEIs but not in public. The results suggest that private sector educational institutions provide better technological facilities to their students than public sector educational institutions. Based on MGA, the impact of perceived ease of use and perceived usefulness on intention to use social media had a significant difference between public and private HEIs. The study also provides the research contribution, limitations, and future directions

Service Quality of Higher Education Digital Library (DL) and Loyalty Behaviors: Testing the Mediating Role of Student Satisfaction

Higher academic institutions are now focusing on capturing the behaviors of the postgraduate students towards digital libraries. It depends on the conditions of assessing the psychological needs of both parties in which service-provider provides services to recipient and recipient reciprocate service-provider in turn to their services. Drawing from service-encounter needs theory (SENT), this study measures the service quality of the digital library of the Pakistan higher education commission (HEC) and student behaviors using the digital library. Interestingly, this study tests the service quality of the HEC digital library in the sight of postgraduate students of the public and private Universities in Punjab, Pakistan. By collecting data from 403 postgraduate students, the study uses a convenient sampling approach using designed survey questionnaires. Out of 403, 305 survey questionnaires were valid and reliable so, the response rate was 75.68%. By testing the 2nd order measurement model, the study supported the direct significant and positive impact of service quality on student satisfaction. Interestingly, satisfaction is a psychological indicator of enhancing loyalty behaviors (Zhang and Bloemer, 2008). Furthermore, this study supported the mediating role of student satisfaction between service quality and student loyalty behaviors: intention to revisit (IRT), words of mouth (WOM), and willingness to pay more (WPM) and to extend the literature of loyalty behaviors. The results showed that there was a partially significant mediating relationship between overall service quality and among RPI, WOM, and WPM. Interestingly, student satisfaction had the highest mediating link between service quality and WOM. This research guides and recommends higher education commission (HEC) provide the database structure and equipment for searching research articles and books to the postgraduate students so, that they can easily achieve literature studies on the same subject. Moreover, the research provides the research limitations and future directions

Technology Acceptance Model and Academic Performance of Postgraduate Students: The Moderating Role of Academic Self-Efficacy

Different models and theories have been tested in educational institutions to predict academic performance of the students. With the development of the technology and the advancement of communication channels, this study explores the impact of the usage of technology on student’ academic performance. For this purpose, the study aims at hiring technology acceptance model (TAM) to test the effect of the usage of social media on academic performance. TAM-core variables are comprised of five variables including perceived ease of use of social media, perceived usefulness of social media, intention to use of social media, and actual use of social media. Interestingly, the study sees the effect of TAM-core variables predicting academic performance of the postgraduate students by the moderating of academic self-efficacy. The study used Quantitative research method by adopting design survey questionnaires. First, the study administered survey questionnaires among the postgraduate students of public and private universities. The study found that there was the significant links among TAM-core variables. In addition, actual use of social media was found to have significant and positive impact on academic performance. Moreover, academic self-efficacy was found to have the moderating role between actual use of social media and academic performance. Second, the study uses Qualitative research method by conducting face-to-face interviews to support the academic self-efficacy of the students to respond academic performance positively. The study identified personal and socio-contextual factors further categorizing into other factors. Finally, the study contributes to future directions, limitations and practical implications

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

Background Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. Methods We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). Findings In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683–0·717]). Interpretation In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. Funding British Journal of Surgery Society