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To examine the degree of exact and partial match between the assigned descriptors and title keywords of medical theses written in Farsi and submitted for a PhD degree.Design/methodology/approach – A sample population of 506 theses in Pediatrics, Gynecology, Cardiology and Psychiatry was randomly picked out of a total of 909 indexed in the Indexing Department of the Central Library of the Iran University of Medical Science and Health Care Services. The results obtained are compared with those reported for other documents written in Farsi and English. Where applicable, the influence of the foreign language and its structure is commented on.Findings – It is shown that the degree of match between the assigned descriptors and the title keywords is greater than 70 per cent, equaling those reported for Farsi books and Michigan University Library catalogue in USA. It is also shown that the frequency of the match has increased since 1982, indicating that the authors have become more attentive in their choice of title.Research limitations/implications – Detailed analysis of results, however, shows significant differences between the degree of exact match amongst the four categories, with psychiatry theses that use more common terms showing highest exact match findings (50 per cent).Originality/value – This paper highlights the need for a closer collaboration with medical institutions for definition of approved terms and their incorporation in indexation in order to improve findings in various medical categories.

The fabrication and characterization of a hydrogel-based conductometric sensor have been carried out. The purpose of this research is to fabricate a small robust hydrogel-based conductometric sensor for real-time monitoring of pH in the physiological range.

A pH-responsive Chitosan/Gelatin composite hydrogel has been used for this purpose. This study reports and analyzes the sensing response obtained from four hydrogel compositions with varying Chitosan/Gelatin ratios. The pH-responsive nature of the hydrogel has been mapped out through volumetric and conductometric tests. An attempt has been made to correlate these characteristics with the physico-chemical nature of the hydrogel through scanning electron microscopy, Fourier transform infrared spectroscopy and X-ray diffraction techniques.

The four hydrogel compositions differed on the basis of gel composition ratios; the conductometric analysis results prove that the sensor with the hydrogel composition (Chitosan 2 per cent, Gelatin 7 per cent, ratio 1:2) produces the best pH resolution in the pH range of 4 to 9. The sensing mechanisms and the differences obtained between individual sensor outputs have been discussed in detail. On the basis of this extensive in vitro assessment, it has been concluded that while key pendant functional groups contribute to pH-responsive characteristics of the hydrogel, the overall sensitivity of the sensors gel component to surrounding pH is also determined by the crystalline to amorphous ratio of the hydrogel composite, its interpenetrating cross-linked structure and the relative ratio of the hydrophilic to the pH-sensitive components.

The conductometric sensor results prove that the fabricated sensor with the shortlisted hydrogel composition shows good sensitivity in the physiological pH range (4 to 9) and it has the potential for use in point of care medical devices for diagnostic purposes.

This is the first reported version of the fabrication and testing and analysis/comparison of a hydrogel-based conductometric sensor based on this composition. The work is original and has not been replicated anywhere.

This study aims to fulfill the research gap by suggesting an appropriate and adaptable e-government (e-gov) maturity model for Pakistan not just in the abstract pattern relatively but also in a practical solution assured by the industry experts.

The qualitative research approach using key informants from the public sector domain; furthermore, e-gov performance artifacts were verified by the citizens through the process of focus group interviews.

The major finding of the study is the development of e-gov maturity model with implementations artifacts in proposed stages as follows: availability, interaction, integration, transactions and public participation.

This study contributes a qualitative meta-synthesis in the field of e-gov maturity models and could support researchers who are in a quest of knowledge and references to develop new maturity models for their specific countries by providing them with useful resources for further investigation and study.

This maturity model will strengthen the argument that the e-gov services are necessary for the acceptance behaviour of the citizens and the prosperous public administration by the Government in Pakistan. This research strengthens the science-policy interface that has prevented governments from delivering changes on the ground to the public, and it will also identify diversified opportunities for the e-gov sector that can reverse the lack of investment in this domain.

The study intends to provide directions to policymakers for the development of e-gov services for the citizens. Additionally, the public value of e-gov can be better understood in the form of citizens’ expectations from the government and this model will integrate public participation in the development of e-gov service.

The public value of e-gov can be better understood in the form citizens’ expectations from the government through this maturity model, furthermore, it can be recommended that the government can improve the relationship between the citizens and the state through the use of information and communication technologies which will strengthen the democratic process in Pakistan.

Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria.

The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster the papers, illuminate the relationships among keywords within each cluster, and identify the primary research directions.

Using the RFPN analysis, this study classified the papers into three distinct clusters: infrastructure and public projects success, risk and knowledge management, and contractors and procurement management. Statistical techniques such as structural equation modelling (SEM) and multi-criteria decision-making methods such as analytic hierarchy process (AHP) have been used to analyse project success in the construction industry.

Considering the intensified demand for streamlined digital interactions and the increasing emphasis on sustainability and safety performance, construction companies are recommended to allocate greater investments toward the automation and digitisation of their products and processes. Prioritising modular construction and embracing transformative technologies alongside data science is crucial for enabling well-informed decision-making, and enhancing project success.

This study contributes to the existing body of knowledge by conducting a quantitative and systematic evaluation of the literature on project success criteria in the construction industry and uncovering key research areas. It addresses the pressing need to understand the complexities of construction projects amidst evolving industry dynamics and emerging disruptions. Moreover, by highlighting the implications of digital innovations and modular construction, this study urges deeper exploration into their impact on project performance and stakeholder satisfaction. This research sets a comprehensive framework for investigating the interplay between project complexity, technological advancements, and sustainable practices in the construction sector, paving the way for strategic advancements in the field.

The purpose of this paper is to present synthesis protocol of hydrogel composed of Chitosan (CS) and Poly(ethylene glycol) (PEG) and establish an understanding of its thermal responsive behavior. It aims to prove the basic temperature sensing ability of a novel CS-PEG-based hydrogel and define its sensing span.

This study includes synthesis of CS and PEG-based hydrogel samples by first performing dissolution of both constituents, respectively, and then adding Glutaraldehyde as the cross-linking agent. It further includes proposed hydrogel’s swelling studies and dynamic behavior testing, followed by hydrogel characterization by Fourier transform infrared spectroscopy, X-ray diffraction and SEM. The last section focuses on the use of proposed hydrogel as a temperature sensor.

Detailed experimental results show that a hydrogel comprising of CS and PEG presents a thermally responsive behavior. It offers potential to be used as a temperature responsive hydrogel-based sensor which could be used in medical applications.

This research study presents scope for future research in the field of thermally responsive bio-sensors. It provides basis for the fabrication of a thermal responsive sensor system based on hydrogels that can be used in specific medical applications.

This research considers the role of social media platforms and their impact on individuals' eudaimonic well-being, and aims to help develop a social marketing programme in the future that would enable students in Jordanian universities to flourish, by focussing on their social media drivers and overcoming their challenges in an attempt to improve their psychological well-being (PWB).

The authors used qualitative research examining lived experiences and behaviours around social media use. The authors conducted 39 semi-structured interviews with students at various universities across Jordan, alongside an online survey with open-ended questions, which were based on six PWB dimensions: environmental mastery, personal growth, purpose in life, self-acceptance, autonomy and positive relationships with others.

Social media use and advertising were found to positively impact students' self-acceptance and relationships with others but to negatively impact their autonomy. They were found to have different impacts on students' sense of purpose in life and personal growth, depending on the content shared on their platforms.

The ethical debate surrounding social media amongst students indicates that such social marketing programmes might stimulate individuals' sense of control over their environment, encourage openness to new experiences, and give their lives a beneficial direction. The study makes recommendations for the creation of an evidence-based social marketing programme that is extrinsically focussed on increasing resilience, creating an audience persona and building awareness of PWB.

Social media platforms, although often vilified in popular media, carry several potential benefits for expatriate training. This study set out to discuss in some depth whether social media platforms can be employed to enhance expatriate training outcomes, such as performance, adjustment and cultural integration.

Drawing on insights from experiential learning theory, this study develops propositions and a conceptual model relating to the incorporation of social media platforms into expatriate training.

Joining insights from the expatriate training literature with experiential learning theory, this study proposes several potential avenues for social media platforms as training tools. While social media use is not likely to be efficacious in itself, this study argues that social media platforms can be leveraged to enhance expatriate language training, acculturation and professional networking. These mediating relationships enhance social media’s effects on expatriate performance and adjustment.

This study paves the way for future empirical works regarding the implementation of novel tools in the pursuit of expatriate excellence. This paper develops a comprehensive model illustrating how social media platforms can positively impact expatriate training outcomes.

This study aims to investigate the influence of requirement engineering (RE) on project performance (PP) in the context of NEOM* in Saudi Arabia. The study also aims to examine the relationship between three components of RE, evolving market needs (ECN), market changes (MC) and technological advancements (TA), on PP, through the mediating influence of effective communication (EC), change readiness (CR) and stakeholder engagement (SE). Further, the study aims to examine the moderating effect of team cohesion (TC) on the RE–PP relationships.

A research framework is developed by drawing on the resource-based theory and with the support of empirical evidence and rational arguments to propose a set of hypotheses relating to the constructs in the framework. The hypotheses are tested through survey data collected from individual employees working on different projects across NEOM. A total of 336 useable responses were collected that were analyzed through covariance-based structural equation modeling using AMOS v.28.

The results show although ECN and TA both have a positive impact on PP, MC had no significant relationship with PP. In terms of the mediation hypotheses, EC, CR and SE all partially mediate the relationships between ECN and TA with PP. However, there was no mediating effect in the relationship between MC and PP. Moreover, EC, CR and SE themselves have a significant positive influence on PP. Finally, TC proved to be a significant moderator between ECN and PP and TA and PP, but not in the case of MC and PP.

This study makes three novel contributions. First, most prior empirical studies examined the overall impact of RE on PP; however, the current study provides a more nuanced insight into the relationships between the three components of RE (i.e. ECN, MC and TA) and PP. Second, the mediating roles of EC, CR and SE between components of RE and PP present a finer-grained understanding of how project resources are linked to project success goals through features of the project team. Third, moderating influence of TC with regard to a higher possibility of success for projects are highlighted through this discovery.

This paper investigates the impact of family influence measured by the F-PEC scale on private enterprise (both family firms and lone founders) leadership succession strategy.

The research dataset is comprised of 390 private enterprises whose head offices were situated in the voivodeships of Lower Silesia and Wielkopolska in Poland. The authors collected data through CAPI (computer-assisted personal interviewing) method, as well as through comprehensive, structured interviews with company owners. Data were analysed using hierarchical logistic regression for each type of succession strategy.

The results suggest that increased family influence does not necessarily lead to intra-family leadership succession in private enterprises. Importantly, a range of findings contradicted authors' predictions. The relationship between the overall F-PEC scale values signifying the multi-faceted family influence over the business and the choice of internal successor was weakly negative for the total sample; also, the higher the overlap between family and business values and the higher the commitment to family business, as evidenced by the Culture subscale, the lower was the occurrence of intra-family successor choice in the population of lone founders. The Culture subscale also increased the prevalence of lack of succession planning in the sample of lone founders.

While several studies suggests that family firms may be more prone to choose an intra-family succession scenario, it remains unclear how lower levels of business and succession experience, may influence the successor choice. Indeed, some studies suggest that a strong family influence over a business, may stimulate family firms to choose a family outsider as a business leader. Therefore, the key contribution of this study is contextualizing the response to an ongoing succession debate. This study investigates the strategic choices of companies in the first generation of ownership operating in Poland, which serves as an example of a post-transition economy. While the characteristics of this economic environment may be unique, the authors discuss how the surprising findings may add to the understanding of the general succession processes present in private enterprises.

Nanofluids are used in technology, engineering processes and thermal exchanges. In thermal transfer processing, these are used for the smooth transportation of heat and mass through various mechanisms. In the current investigation, we have examined multiple effects like activation energy thermal radiation, magnetic field, external heat source and especially slippery effects on a bioconvective Casson nanofluid flow through a stretching cylinder.

Several studies used non-Newtonian fluid models to study blood flow in the cardiovascular system. In our research, Lewis numbers for bioconvection and the influence of important parameters, such as Brownian diffusion and thermophoresis effects, are also considered. This system is developed as a partial differential equation for the mathematical treatment. Well-defined similarity transformations convert partial differential equation systems into ordinary differential equations. The resultant system is then numerically solved using the bvp4c built-in function of MATLAB.

After utilizing the numerical approach to the system of ordinary differential equations (ODEs), the results are generated in the form of graphs and tables. These generated results show a suitable accuracy rate compared to the previous results. The consequence of various parameters under the assumed boundary conditions on the temperature, motile microorganisms, concentration and velocity profiles are discussed in detail. The velocity profile decreases as the Magnetic and Reynolds number increases. The temperature profile exhibits increasing behavior for the Brownian motion and thermal radiation count augmentation. The concentration profile decreased on greater inputs of the Schmidt number and magnetic effect. The density of motile microorganisms decreases for the increased value of the bio-convective Lewis number.

The numerical analysis of the flow problem is addressed using graphical results and tabular data; our reported results are refined and novel based on available literature. This method is useful for addressing such fluidic flow efficiently.