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This study aims to evaluate students' satisfaction with university library services in southern Punjab, Pakistan, emphasizing their perspective on service quality (SQ).

A LibQUAL+® survey with 22 core items was conducted within university settings using convenience sampling. In total, 345 usable responses were returned through Google Forms. Data analysis involved descriptive statistics, ordinal logistic regression test, Pearson and Deviance statistics and chi-square test to assess the satisfaction status of library users.

The study found that libraries generally meet SQ standards. However, there were minor gaps in information control (IC) and library as place (LP).

The study provides library administrators with actionable insights to enhance services, encouraging stakeholders to adopt optimal library practices for heightened efficiency and user satisfaction.

It highlights the crucial role of libraries in shaping future societal progress by emphasizing the need for elevated user services. Librarians can use this knowledge to modify their planning and take impactful initiatives that align with the evolving needs of their users.

While many studies have utilized LibQUAL, this research is unique for its focus on addressing university library services in underdeveloped regions facing economic challenges. It attempts to fill the information gap by offering a transferable approach for strategic priorities in similar settings.

The hybrid nanofluid flow due to a rotating disk has numerous applications, including centrifugal pumps, paper production, polymers dying, air filtration systems, automobile cooling and solar collectors. This study aims to investigate the convective heat transport and magnetohydrodynamics (MHD) hybrid nanofluid flow past a stretchable rotating surface using the Yamada-Ota and Xue models with the impacts of heat generation and thermal radiation.

The carbon nanotubes such as single-wall carbon nanotubes and multi-wall carbon nanotubes are suspended in a base fluid like water to make the hybrid nanofluid. The problem’s governing partial differential equations are transformed into a system of ordinary differential equations using similarity transformations. Then, the numerical solutions are found with a bvp4c function in MATLAB software. The impacts of pertinent parameters on the flow and temperature fields are depicted in tables and graphs.

Two solution branches are discovered in a certain range of unsteadiness parameters. The fluid temperature and the rate of heat transport are enhanced when the thermal radiation and heat generation effects are increased. The Yamada-Ota model has a higher temperature than the Xue model. Furthermore, it is observed that only the first solution remains stable when the stability analysis is implemented.

To the best of the authors’ knowledge, the results stated are original and new with the investigation of MHD hybrid nanofluid flow with convective heat transfer using the extended version of Yamada-Ota and Xue models. Moreover, the novelty of the present study is improved by taking the impacts of heat generation and thermal radiation.

This study aims to explore the key factors that hinder technopreneur’s success.

The finalization of the most appropriate method to conduct any study is based on the nature of the research questions (Shaw, 1999; Morse and Richards, 2002). As this study is exploratory, a qualitative approach was used to collect the data. Morse and Richards (2002) have emphasized that the qualitative technique to collect is useful for in-depth assessment of the participant’s experiences, their understanding regarding the matter and their interpretation of their experiences.

Technopreneurs face four significant problems that have an impact on their business agility and competitiveness. These four factors are as follows: the entrepreneur’s skills and preparedness; their organization’s insufficient capabilities and talent to deal with the challenges; a lack of support mechanisms from relevant institutions; and, finally, the rapidly changing business environment in terms of technology and competition.

This study explores the hindrance factors through qualitative techniques faced by young technopreneurs in the context of Malaysia. This study will provide deep insight regarding the key issues facing new startups and will be helpful for policymakers.

This study examines how project leaders’ knowledge hiding influences project performance via project employee creativity, employing the conservation of resources theory. Further, we investigate how mastery motivational climate (MMC) moderates the project employee creativity and project performance relationship.

Employing purposive sampling design, two-wave data (N = 245) was collected with a gap of three weeks from employees working in R&D departments in private software development project-based organizations located in Lahore, Pakistan.

Results suggest that leaders’ knowledge hiding does impede project employee creativity and negatively influence project performance. In addition, MMC was found to accentuate the relationship between project employee creativity and project performance.

This study offers notable insights into the knowledge hiding literature from a top-down perspective within the project management domain relating to IT projects. This study’s findings pose implications for practitioners and project-based organizations who are interested in counteracting the adverse effects of knowledge hiding on project performance.

This study proposes a novel approach to job design by considering resource scarcity caused by a leader’s knowledge hiding as a job demand, along with the achievement goal perspective driven by a mastery or goal orientation. To understand these two perspectives, we rely on the conservation of resources (COR) theory to describe how a leader’s knowledge hiding affects project performance through project employee creativity, moderated by mastery motivational climate.

This study aims to explore the factors that affect online knowledge sharing among the scientific performance of academics at the University of Mosul, Republic of Iraq.

Data were collected by using a random sample by means of an electronic questionnaire distributed to 211 academics at the University of Mosul via online platforms. Structural equation modeling was used to test hypotheses using AMOS 24 software.

The results showed that collaboration, perceived flexibility and willingness to share had a significant effect on online knowledge sharing behavior and that which in turn had an effect on the academic performance of respondents, while the results showed no influence of knowledge self-efficacy and communication on the behavior of online knowledge sharing.

In this research, the effects of five factors on online knowledge sharing behavior were studied, in addition to the effect of the latter on academic performance. The research did not study the effect of the participants’ personal characteristics on the behavior of knowledge sharing online, which could be an area of future investigation. The study was limited to online knowledge sharing for academics working in public universities, and the authors suggest conducting a future study from the perspective of medical staff working in hospitals and its impact on their performance.

Based on the findings of the current study, this study suggests that the academic staff at the University of Mosul and similar universities pay attention to scientific cooperation between researchers and teaching staff, by creating online groups to carry out joint research projects that contribute to sharing knowledge among participants through social media in general and scientific platforms in particular. Establishing a scientific research portal could serve this well for example.

Most previous studies have focused on areas related to knowledge sharing in higher education institutions from the traditional perspective and therefore studies that examine the factors affecting online knowledge sharing among academics are limited, so this study fills this gap. This paper focuses on identifying the scientific benefits for academics through knowledge exchange and the use of electronic platforms at the University of Mosul. The study is expected to contribute to enhance the exchange of knowledge online between academics in similar universities in Asia and Africa due to the convergence of cultures and the nature of the work of these universities, as well as the possibility of generalization due to the research’s use of the deductive method.

Sustainable production and consumption may reduce global warming. Disseminating environmental awareness through green advertising appeals can increase consumers’ intention to purchase green skincare products.

The study explores the boundary condition of susceptibility to normative influence (SNI) (Study 1; N = 156) and the need for uniqueness (NFU) (Study 2; N = 198) in the relationship between green appeals and customers’ intention to buy skincare products. This study employs an experimental method to test the relationships.

The findings indicate that (1) green (vs non-green) advertising appeals significantly affect the customers’ purchase intention; (2) the boundary condition of lower (vs higher) SNI strengthens the impact of green appeals on purchase intentions and (3) the moderating role of higher (vs lower) NFU strengthens the relationship between green appeals and purchase intention.

This paper sheds light on the sustainable production and consumption of skincare products through green advertising appeals to promote sustainability.

The purpose of this paper is to examine how digital literacy influences knowledge sharing and academic performance among graduate students in online learning environments.

Structural equation modeling via AMOS was utilized to test the research hypotheses in this cross-sectional study. Students’ digital literacy, their knowledge sharing, and their academic performance in online learning environments were surveyed by questionnaires. The sample of 330 graduate students was selected from a leading public university in Iran. Based on a stratified sampling approach, the recruited students answered questionnaires based on their degree level and field of study.

The results demonstrated that digital literacy was a positive and significant predictor of knowledge sharing and students' academic performance. Furthermore, the study revealed that knowledge sharing mediates the relationship between digital literacy and academic performance.

Our findings revealed that digital literacy positively and significantly predicts knowledge sharing and academic performance. This may be attributed to the fact that digital literacy is essential for developing digital learning in higher education. Conducting research on the antecedents and consequences of digital literacy in academic environments may prove attractive to future researchers.

Research on the influence of digital literacy on students’ knowledge sharing and academic performance in online learning environments is scarce. This study suggests that improving students’ digital literacy and knowledge sharing can enhance their performance in online learning environments, and it is a recommendation for university educators and educational technologists. Gaining insight into the influence of digital literacy on how students share knowledge and their academic achievements in virtual learning environments can have numerous managerial ramifications for administrators and instructors in higher education.

This study aims to develop an analytical model for generating relational rent within network organizations and to establish a comprehensive framework for the allocation of such rent.

The design stage involves the formulation of integrated computer-aided manufacturing definition (IDEF0) methodologies. The construction stage comprises the detailed elaboration of three distinct stages for rent allocation methods.

The “relational rent” perspective has illustrated that firms create value and distribute rent within network organizations by identifying partners with complementary resources, establishing high levels of robust informal trust, sharing knowledge and making customized investments tailored to their partners’ needs.

This innovative approach, for the first time, sheds light on the path for managers to secure the stability of network organizations by implementing multiple iterations of benefit distribution. However, it remains an area lacking standardized guidelines for decision-makers. Essentially, our paper pioneers the endeavor, marking the inaugural step toward ensuring network organization stability through profit distribution decisions. Additionally, it constitutes the initial attempt to bridge the gap between qualitative analysis and a quantitative profit distribution framework.

This rent allocation method unequivocally highlights the importance of efficient allocation within network organizations, emphasizing the streamlining of the allocation process and thus substantiating the rationality of the proposed method.

Generative pretrained transformers (GPTs), soaring to one million users at lightning speed, outpaced social media giants (15 times faster) (Buchholz, 2023). Despite this, scant research explored GPT’s impact on the digital entrepreneurial intentions (EIs) of students and tech-savvy generations. This study aims to pioneer a fusion of the technology acceptance model (TAM) and the theory of planned behavior (TPB), bridging the gap in research.

In this bold quantitative quest, business administration students became fearless participants, engaging in a survey of profound significance. Guided by the mighty powers of G*Power and Stata’s structural equation modeling builder, the intricate relationships within a robust sample of (n = 400) were unraveled.

The mediating power of GPT usefulness and GPT ease of use part of the TAM emerges, paving the way for a future brimming with digital entrepreneurship (DE) boundless possibilities. Predictably, the study found that TPB constructs also affect the EI of students.

This groundbreaking study brings together the powerful combination of TAM and TPB, while pioneering the exploration of GPT models’ mediating role. Its findings offer invaluable contributions to the field of DE and policymakers.

The outbreak of the coronavirus pandemic (COVID-19) has severely disrupted businesses around the world. To address the impact of operational and strategic business disruptions, this paper contributes to the practice of a firm's management in terms of identifying the determinants of organizational resilience (OR) and creating a hierarchical model of the potential sources of a firm's adaptive capability.

A novel research framework integrating Pareto analysis, grey theory and total interpretive structural modeling (TISM) has been applied to, first, identify the sources of a company's resilience and, second, to determine contextual relations among these sources of OR.

The findings of the survey highlight three primary sources that allow companies to build companies' resilience: access to financial resources, digitization level and supply chain (SC) collaboration. The authors' model shows that resilience cannot be viewed as a particular feature but rather as a dynamic intertwined network of different co-dependent sources.

The proposed hierarchical model indicates that the most crucial sources of company's resilience in the recent pandemic are access to financial resources, digitization level and SC collaboration.

The study takes an original investigation on cognitive grounds, touching on the problem of firms' resilience to the unique nature of the crisis caused by the COVID-19 pandemic. The study also represents one of the few attempts to use integrated Pareto analysis, grey theory and TISM to examine this critical area of firm management.