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This study aims to explore the awareness status of Web 2.0 tools among library and information science (LIS) professionals in the University Libraries of Khyber Pakhtunkhwa.

The study used quantitative method to collect data from 73 LIS professionals in 18 public sector university libraries of the province of Khyber Pakhtunkhwa, Pakistan. Inferential and descriptive statistical techniques were used to analyze data using SPSS.

It was observed from the findings that majority of LIS professional s possess good knowledge of MS Office; however, some senior librarians were less acquainted. Internet facility was available to 60 participants out of 66. Librarians were not familiar with many services of Web 2.0; however, Facebook, YouTube and Skype were most familiar among the librarians. Majority of the respondents had no experience of using podcasting, RSS feeds, LinkedIn, LibraryThing, Flickr and MySpace. On the other hand, e-mail services, Facebook and YouTube were founded to be the most commonly used Web 2.0 tools among respondents. Problems faced by majority of the respondents were power failure, lack of training, non-cooperation from higher authorities, low speed of internet and financial problems.

These research results can be very beneficial for the interested librarians in universities, when they plan to use Web 2.0 applications in their libraries.

This study presents an overall picture of Web 2.0 applications in university libraries of Khyber Pakhtunkhwa and attempts to provide the readers with helpful information to better understand how their colleagues elsewhere are utilizing Web 2.0 tools in execution of library services.

This study aims to investigate the interaction of independent variables [Reynolds number (Re), thermal power and the number of ball grid array (BGA) packages] and the relation of the variables with the responses [Nusselt number ((Nu) ¯ ), deflection/FPCB’s length (d/L) and von Mises stress]. The airflow and thermal effects were considered for optimizing the Re of various numbers of BGA packages with thermal power attached on flexible printed circuit board (FPCB) for optimum cooling performance with least deflection and stress by using the response surface method (RSM).

Flow and thermal effects on FPCB with heat source generated in the BGA packages have been examined in the simulation. The interactive relationship between factors (i.e. Re, thermal power and number of BGA packages) and responses (i.e. deflection over FPCB length ratio, stress and average Nusselt number) were analysed using analysis of variance. RSM was used to optimize the Re for the different number of BGA packages attached to the FPCB.

It is important to understand the behaviour of FPCB when exposed to both flow and thermal effects simultaneously under the operating conditions. Maximum d/L and von Misses stress were significantly affected by all parametric factors whilst (Nu)¯ is significantly affected by Re and thermal power. Optimized Re for 1–3 BGA packages with maximum thermal power applied has been identified as 21,364, 23,858 and 29,367, respectively.

This analysis offers a better interpretation of the parameter control in FPCB with optimized Re for the use of force convection electronic cooling. Optimal Re could be used as a reference in the thermal management aspect in designing the BGA package.

This research presents the parameters’ effects on the reliability and heat transfer in FPCB design. It also presents a method to optimize Re for the different number of BGA packages attached to increase the reliability in FPCB’s design.

The purpose of this study is to investigate the mediating role of intellectual capital (IC) on the association between corporate governance mechanism (CGM) and the financial efficiency of Islamic banks (Z-score, net investment income and loan to deposit) and verify it through standard mediation in the panel based on interaction.

The data of this study draws from 125 full-fledged Islamic banks and windows from 26 Organization of Islamic Cooperation (OIC) over the period of 2009 to 2019. A two-step system generalize method of moment estimation is used to test the hypotheses.

The results underwrite that the inclusion of IC as a mediating variable has influenced positively the corporate governance and financial efficiency of IBs. Besides, only CEO power and Shariah supervisory board positively affect the financial efficiency of IBs. While structural capital and relational capital positively affect the financial efficiency of IBs. Apart from that, results show that the CGM has a significant relationship with the IC value of IBs.

These findings are valuable for policymakers and regulators to set policies to improve CG structure and effective use of IC resources to improve banking efficiency. Additionally, findings might be helpful for the bankers to proficiently use the IC as a premise to plan new strategies to get an upper hand in financial performance.

This study extends and contributes to the current literature by analysing the role of IC along with CG to boost the financial efficiency of banks in OIC countries.

The purpose of this paper is to investigate the relation of corporate governance (CG) attributes, such as separate leadership (SL) structure, independent chair (IC) of the board, and the proportion of independent directors on the board (Bind) recommended by the new Malaysian Code on Corporate Governance (2012), with firms’ market performance measured by share market price.

The paper uses a randomly selected sample of 150 non-financial Malaysian listed companies. To find the distinct impact of the code, the paper explicitly divides the sample into two-year pre-context (2010-2011) and two-year post-context (2013-2014) of the code. Besides descriptive statistics, the study also employs correlation and multiple regression estimators.

By comparing the pre-context and post-context of the code, the study found that SL and Bind have a significant positive relation while IC of the board has a significant negative relation with share market price after enactment of the code.

The paper has a limitation of using only two years of data due to its non-availability particularly after enactment of the code. The findings show that the new code slightly improved compliance to the CG attributes investigated. Based on findings, the study also recommends further improvement in compliance to CG codes and other voluntary regulations in Malaysia.

Besides contributing to the limited and incongruent literature in pre-context and post-context of CG regulations, the paper also provides important insights for regulators and policy makers of the emerging markets like Malaysia.

The purpose of this study is to investigate heat transfer and deformation of flexible printed circuit board (FPCB) under thermal and flow effects by using fluid structure interaction. This study simulate the electronic cooling process when electronic devices are generating heat during operation at FPCB under force convection.

The thermal and flow effects on FPCB with attached ball grid array (BGA) packages have been investigated in the simulation. Effects of Reynolds number (Re), number of BGA packages attached, power supplied to the BGA packages and size of FPCB were studied. The responses in the present study are the deflection/length of FPCB (δ/L) and Nusselt number (Nu).

It is important to consider both thermal and flow effects at the same time for understanding the characteristic of FPCB attached with BGA under operating condition. Empirical correlation equations of Re, Prandtl number (Pr), δ/L and Nu have been established, in which the highest effect is of Re, followed by Pr and δ/L. The δ/L and Nu¯ were found to be significantly affected by most of the parametric factors.

This study provides a better understanding of the process control in FPCB assembly.

This study provides fundamental guidelines and references for the thermal coupling modelling to address reliability issues in FPCB design. It also increases the understanding of FPCB and BGA joint issues to achieve high reliability in microelectronic design.

This paper aims to examine the antecedents of adoption intention of profit-sharing investment deposits (PSID) among Moroccan customers.

Applying an extended version of diffusion of innovation (DOI) theory and using a non-probability sampling technique with convenience approach, a quantitative survey was developed and administered to 171 Islamic banking users. Structural equation modeling was then used to evaluate the significance of relationships between the various variables under study using SPSS 21.0 and AMOS 26.0 statistical packages.

Empirical findings of the structural analysis indicated a significant direct relationship between adoption intention and six out of seven variables: perceived relative advantage, perceived compatibility, perceived complexity, perceived risk, religiosity and social influence, all of which had a significant effect on Moroccan customers’ intention to invest their funds in profit-sharing based deposit instruments, whereas customer awareness exerted an insignificant positive effect.

The absence of a longitudinal study tracking the actual adoption behavior is the main limitation of this study. Furthermore, data were collected solely from Islamic banking users. Finally, despite being insightful, the empirical findings should be generalized with caution since the sample was purposely selected by the banks’ management.

This study implied that participatory banks should pay substantial attention to risk perceptions, as PSID adoption intention is typically inhibited by high perceived risks associated with these products. Moreover, this study provides great indications to Moroccan regulators and policymakers on a number of issues related to this emerging business.

To the best of the authors’ knowledge, this paper represents the first attempt to confirm the effectiveness of the Rogers’ DOI in examining the intention to adopt a financial innovation in the Moroccan context. It is also the first of its kind to address customers’ apprehensions regarding profit-sharing investment products.

Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students’ engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived autonomy (PA), digital informal learning (DIL) and students’ engagement.

The study collected survey data from 409 participants at Saudi Arabian universities, ultimately using 387 valid responses for analysis. This dataset was subjected to a thorough examination to confirm the validity of our proposed model. To decipher the complex interactions within our model, we utilized partial least squares structural equation modeling (PLS-SEM). The study adopted a disjoint two-stage method to formulate a reflective-formative higher-order construct (HOC).

The study's findings showed that cognitive learning (CL), metacognitive learning (MCL) and social and motivational learning (SML) are the essential components of DIL. Significantly, the study determined that AI competence, chatbot usage, PA and DIL markedly affect students’ engagement. Moreover, the R² value of 0.592 for student engagement indicates the model's robustness in explaining 59.2% of the variance, highlighting its effectiveness in identifying key drivers of student engagement in DIL contexts.

This research enhances understanding by detailing the intricate relationships among AI competence, chatbot usage, and students’ engagement in informal digital learning. It extends SDT to emphasize intrinsic motivations and AI capabilities, introducing reflective-formative HOCs for comprehending educational intricacies. It provides practical strategies for enhancing AI abilities and chatbot use in education, promoting personalized, engaging and autonomous digital learning spaces, thereby advancing educational theory and practice.

The performance of Ardalan′s heuristic is compared with that of Teitz and Bart for the location of service facilities, where performance is assessed in terms of the accuracy of solutions. The comparison is made considering two kinds of location problem: p‐median and p‐median with maximum distance constraints. The results indicate that the Teitz and Bart method generally produces a better solution than the Ardalan method for both problems.

This study aims to investigate risks associated with climate change vulnerability and in response the adaptation methods used by farming communities to reduce its negative impacts on agriculture in Pakistan.

The study used household survey method of data collection in Charsadda district of Khyber Pakhtunkhwa province, involving 116 randomly selected respondents.

Prevalent crops diseases, water scarcity, soil fertility loss and poor socio-economic conditions were main contributing factors of climate change vulnerability. The results further showed that changing crops type and cultivation pattern, improved seed varieties, planting shaded trees and the provision of excessive fertilizers are the measures adapted to improve agricultural productivity, which may reduce the climate change vulnerability at a household level.

The major limitation of this study was the exclusion of women from the survey due to religious and cultural barriers of in Pashtun society, wherein women and men do not mingle.

Reducing climate change vulnerability and developing more effective adaptation techniques require assistance from the government. This help can be in the form of providing basic resources, such as access to good quality agricultural inputs, access to information and extension services on climate change adaptation and modern technologies. Consultation with other key stakeholder is also required to create awareness and to build the capacity of the locals toward reducing climate change vulnerability and facilitating timely and effective adaptation.

This original research work provides evidence about farm-level vulnerability, adaptation strategies and risk perceptions on dealing with climate-change-induced natural disasters in Pakistan. This paper enriches existing knowledge of climate change vulnerability and adaptation in this resource-limited country so that effective measures can be taken to reduce vulnerability of farming communities, and enhance their adaptive capability.

This study aims to apply the extended theory of planned behaviour (ETPB) to investigate the factors influencing the intention to give zakāt on employment income.

This study draws the required data through a survey in three main cities Makkah, Medina and Jeddah in Kingdom of Saudi Arabia (KSA). The final data sample is consisting of 650 useable questionnaires to analyse the objective of this study.

The study finds that moral norm, injunctive norm, descriptive norm and past behaviour have a significant influence on the intention to pay zakāt on employment income. The perceived behavioural control and attitude have a negative and weak impact on the intention to give zakāt on income.

The findings of this study can be useful for the policymakers and regulators to enhance peoples' awareness to give zakāt to eradicate poverty and inequality in Muslim societies. zakāt is for the deprived people, so the consequences of this study might help to improve their liveability.

This study is unique because it identified the behavioural factors that affect the peoples' intention to give zakāt in KSA have yet to be profoundly explored in the literature. This study has gathered primary data and applied the ETPB to identify the factors influencing the zakāt compliance behaviour in KSA.