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The purpose of this paper is to measure the relationship of technology acceptance model (TAM) variables (PEOU and PU) with behavioral intention (BI) and attitude in mobile and digital libraries context. This study also examines the relationship of external variables (information quality and system quality) with TAM variables (PEOU and PU) in mobile and digital libraries context.

This meta-analysis was performed through PRISMA-P guidelines. Four databases (Google Scholar, Web of Science, Scopus and LISTA) were used for searching, and the search was conducted according to defined criteria.

Findings of this study revealed a large effect size of PU and PEOU with BI. There was also a large effect size of PU and PEOU with attitude. A medium effect size was found between SysQ → PU, InfoQ → PU and SysQ → PEOU. However, there was a small effect size between InfoQ and PEOU.

To the best of the authors’ knowledge, there was no study published till the time of conducting this meta-analysis. Hence, this study fills the literature gap. This study also confirms that TAM is a valid model in the acceptance and use of technology in mobile and digital libraries context. Thus, the findings of the present study are helpful for developers and designers in designing and developing mobile library apps. It will also be beneficial for library authorities and system librarians in designing and developing digital libraries in academic settings.

Knowledge is considered an asset for any organization. To distribute knowledge and expertise among stakeholders of an organization, there is a need to develop knowledge sharing (KS) culture. However, different factors affect KS. This study aims to identify the influence of trustworthiness (trust, ability, benevolence and integrity) and motivation and reward on KS attitudes and intentions of law students.

The objectives of the study were achieved by using a quantitative research design. Law students of the colleges affiliated with Punjab University were the population for the present research. The sampling frame of the study was all law colleges, and data was collected through a convenient sampling technique. Data was collected through personal visits to sampled colleges. Questionnaires were circulated among 330 respondents and two hundred valid responses were collected with a 61% response rate. Descriptive analysis was completed using SPSS and path analysis was measured through SmartPLS. The quality of the measurement model was assessed and then hypotheses were tested.

Findings revealed that there was no impact of trustworthiness (trust, ability, benevolence and integrity) on the KS attitude of students. However, motivation and rewards significantly impacted (ß = 0.590; p > 0.01) the KS attitudes. KS attitude also has a significant impact on KS intentions (ß = 0.560; p > 0.01).

The current study is a valuable addition to the literature by providing the impact of trustworthiness, motivation and reward on law students’ KS intentions and attitudes in developing countries. The present study also provides insights for authorities and decision-makers in making decisions regarding the development of KS among students.

The purpose of this study is to investigate the relationships between the information system success model constructs including information quality (IQ), system quality (SysQ) and service quality (ServQ) with user satisfaction (US) and intention to use (IU).

A meta-analysis approach was used to achieve the objectives. For this purpose, the PRISMA-P guideline was used, and a search strategy was designed to search in three indexing databases including Google Scholar, Scopus and LISTA.

The findings of this research revealed that IQ, SysQ and ServQ are positively related to US and IU regarding library systems. The strength of the relationship between IQ and IU, IQ and US, ServQ and US and SysQ and US was high.

This study is a unique addition to the literature, as it provides a collective and comprehensive conclusion regarding different information systems’ (ISs) success in libraries. Therefore, it fills the literature gap. The findings also work as guidelines for system developers, designers and library high-ups to consider IQ, SysQ and ServQ while designing and developing ISs for libraries.

The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).

To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.

The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).

This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.

This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.

The chapter explores the possibilities related to using ChapGPT in tax education. Specifically, we address how tax has historically been taught in higher education and how the use of new and developing artificial intelligence (AI) tools such as ChatGPT can enhance this process going forward. The key takeaway is that AI tools are just that – tools. While tools can be effective in the problem-solving process, they are not a substitute for natural intelligence. Some basic level of subject matter knowledge is necessary to formulate the appropriate question or prompt at the beginning of the process. Additionally, a certain level of subject matter knowledge is needed to ensure that the response ultimately generated by the technology is logical, makes sense, and most importantly, provides the information necessary to appropriately address the problem at hand.

The contemporary focus on extracurricular activities, here the educational incubator environment, accentuates a need to understand what we offer students in terms of the curricular and extracurricular learning environments when situated in the same higher education institution (HEI). Current research points towards breaking down the invisible barriers and silo thinking. In this conceptual study, we apply the Didaktik triangle as a theoretical and conceptual framing to make comparisons of structurally based conditions for curricular and extracurricular entrepreneurship education (EE). We present a framework that helps bridge the ‘what’, ‘why’, and ‘how’ questions in the two different learning spaces and, thereby, conjoin educators and consultants in possible pedagogical discussions on how they work with the students. The suggested bridge frames a wider ‘why’ and adds a more holistic and cohesive view of the two different types of settings. Our study contributes to the literature on how to bridge the blurred lines between curricular and extracurricular activities and break down the silos. The framework can act as an inspiration for entrepreneurship educators and practitioners who wish to provide more suitable and sustainable structures and develop a holistic learning environment.

Service–sales ambidexterity (SSA) offers sales managers crucial information about dealing with customer service failures through an effective management control system. This study aims to scrutinize the relationships among SSA, salesforce control system, salesperson’s role stressors and service recovery performance (SRP) in the business-to-business (B2B) context.

An analysis is conducted based on survey data collected from 586 B2B sales employees participating in an extensive survey. Structural equation modeling is used to analyze the proposed hypotheses.

Empirical findings suggest that behavior-based control harms SSA. On the other hand, outcome-based control has a positive impact on SSA. The research outcomes further disclose that SSA positively impacts salesperson role conflict and emotional fatigue, whereas emotional fatigue negatively impacts SRP. Salesperson resilience notably moderates the association between SSA and emotional fatigue.

The study addresses there is a dearth of research on SSA applying the sales management control system. When studying about ambidexterity in sales context, many supervisory styles have been explored; however, to the best of the authors’ knowledge, this is the first systematic attempt to understand how sales management control systems play a role in SSA.

Scientists have been conducting trials to find ways to reduce fuel consumption and enhance heat transfer rates to make heating systems more efficient and cheaper. Adding solid nanoparticles to conventional liquids may greatly improve their thermal conductivity, according to the available evidence. This study aims to examine the influence of external magnetic flux on the flow of a mixed convective Maxwell hybrid non-Newtonian nanofluid over a linearly extending porous flat plate. The investigation considers the effects of thermal radiation, Dufour and Soret.

The mathematical model is formulated based on the fundamental assumptions of mass, energy and momentum conservation. The implicit models are epitomized by a set of interconnected nonlinear partial differential equations, which include a suitable and comparable adjustment. The numerical solution to these equations is assessed for approximate convergence by the Runge−Kutta−Fehlberg method based on the shooting technique embedded with the MATLAB software.

The findings are presented through graphical representations, offering a visual exploration of the effects of various dynamic parameters on the flow field. These parameters encompass a wide range of factors, including radiation, thermal and Brownian diffusion parameters, Eckert, Lewis and Soret numbers, magnetic parameters, Maxwell fluid parameters, Darcy numbers, thermal and solutal buoyancy factors, Dufour and Prandtl numbers. Notably, the authors observed that nanoparticles with a spherical shape exerted a significant influence on the stream function, highlighting the importance of nanoparticle geometry in fluid dynamics. Furthermore, the analysis revealed that temperature profiles of nanomaterials were notably affected by their shape factor, while concentration profiles exhibited an opposite trend, providing valuable insights into the behavior of nanofluids in porous media.

A distinctive aspect of the research lies in its novel exploration of the impact of external magnetic flux on the flow of a mixed convective Maxwell hybrid non-Newtonian nanofluid over a linearly extending porous flat plate. By considering variables such as solar radiation, external magnetic flux, thermal and Brownian diffusion parameters and nanoparticle shape factor, the authors ventured into uncharted territory within the realm of fluid dynamics. These variables, despite their significant relevance, have not been extensively studied in previous research, thus underscoring the originality and value of the authors’ contribution to the field.

Reservation of travel and leisure services through the digital environment has gained a growing role in society, influencing the revolution of the sector. It needs to be noted that there is a considerable lack of formal approaches to the identification of factors for the positive reception and use of these digital tools. For this reason, it is necessary to establish the main factors influencing the adoption and use of digital travel and restaurant platforms (TRPs), adding to the theoretical model two new factors: trust and word-of-mouth (WOM). This paper aims to discuss the aforementioned ideas.

A theoretical model has been proposed, based on the extended unified theory of acceptance and use of technology (UTAUT2). Data collection was conducted through an online survey, in which 331 responses were compiled. Data obtained were analysed using structural equation modelling (SEM) with AMOS v27 software.

The results show that performance expectancy and WOM have a significant impact on the adoption of TRPs. However, it was found that effort expectancy, social influence, facilitating conditions, trust and price/value are not significant variables.

This research confirms that WOM communication positively influences the use of TRPs, facilitating various aspects for restaurant customers, including reducing wait times, streamlining the ordering process for allergic and intolerant customers, enhancing loyalty programs, order management and the opportunity to provide a personalised experience.

This study is the first to incorporate WOM variable into the extended UTAUT2 model applied to TRPs. Through a literature review, it has paved the way for significant future research directions that have not been adequately addressed by the scientific community, including the adoption and usage of food delivery platforms and online review platforms, as well as the behaviour of disabled customers towards these platforms.

The presence and progression of stenosis disturb the normal circulation of blood through an artery and cause serious consequences. The proposed investigation is aimed to assess non-Newtonian characteristics of blood in an elliptical artery having stenosis. The blood is taken as Sutterby fluid flowing via a multi-stenosed elliptical cross-section artery.

The analytical solution of a mathematical model representing the considered problem is extracted in a non-dimensional form by utilizing the perturbation technique under the mild stenosis assumptions.

The graphical nature of these results is examined and discussed comprehensively for different physical parameters. The height and shape of stenosis are noted to have prominent effects on flow velocity. The wall shear stress and flow velocity attained high values in the stenotic portion of the artery. The non-uniform stenosis is observed to create higher resistance to the flow than the uniform stenosis. Further, a high disorder is noticed in the constricted region of the artery by streamlines analysis.

The manuscript completely comprehends the blood’s non-Newtonian flow in the arteries of elliptical shape having multiple stenoses. The present study is about the properties of non-Newtonian blood flow through an elliptical artery with many stenoses. The Sutterby fluid model is used to describe the blood’s non-Newtonian nature. By utilizing presumptions of mild stenosis, the mathematical model’s non-linearity is decreased, and the perturbation method is applied to generate the resulting equations.

The presence of stenosis can significantly impact the circulation of blood flow. When an artery becomes narrowed, it can create a constriction or obstruction in the flow path of blood, which can lead to several important fluid dynamics phenomena, i.e. increased velocity, shear stress, pressure drop, etc. The presence of stenosis can cause various damages and complications in the affected blood arteries and surrounding tissues, resulting in heart attacks or diseases like atherosclerosis.

The work presented in the manuscript was not published earlier in any form.