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Studying the shear stress and pressure resulting on the walls of blood vessels, especially during high-pressure cases, which may lead to the explosion or rupture of these vessels, can also lead to the death of many patients. Therefore, it was necessary to try to control the shear and normal stresses on these veins through nanoparticles in the presence of some external forces, such as exposure to some electromagnetic shocks, to reduce the risk of high pressure and stress on those blood vessels. This study aims to examines the shear and normal stresses of electroosmotic-magnetized Sutterby Buongiorno’s nanofluid in a symmetric peristaltic channel with a moderate Reynolds number and curvature. The production of thermal radiation is also considered. Sutterby nanofluids equations of motion, energy equation, nanoparticles concentration, induced magnetic field and electric potential are calculated without approximation using small and long wavelengths with moderate Reynolds numbers.

The Adomian decomposition method solves the nonlinear partial differential equations with related boundary conditions. Graphs and tables show flow features and biophysical factors like shear and normal stresses.

This study found that when curvature and a moderate Reynolds number are present, the non-Newtonian Sutterby fluid raises shear stress across all domains due to velocity decay, resulting in high shear stress. Additionally, modest mobility increases shear stress across all channel domains. The Sutterby parameter causes fluid motion resistance, which results in low energy generation and a decrease in the temperature distribution.

Equations of motion, energy equation, nanoparticle concentration, induced magnetic field and electric potential for Sutterby nano-fluids are obtained without any approximation i.e. the authors take small and long wavelengths and also moderate Reynolds numbers.

The development of the digital age has made data and information more transparent, enhancing the strategic perspectives of both buyers (strategic waiting) and sellers (price fluctuations) in their decision-making. This research investigates the optimal dynamic pricing strategy of the content product developer in relation to their consideration of consumer fairness concerns to elucidate the impact of consumer fairness concerns on the dynamic pricing strategy of the developer.

This paper assumes that monopolistic content developers implement a dynamic pricing strategy for the content product. Through constructing a two-period dynamic pricing game model, this research investigates the optimal decisions of the content developer, contingent upon their consideration or disregard of consumer fairness concerns. In the extension section, the authors additionally account for the influence of myopic consumers on these optimal decisions.

Our findings reveal that the degree of consumer fairness concerns significantly influences the developer’s optimal dynamic pricing decision. When a developer offers content products with lower depth, there is a propensity for the developer to refrain from incorporating consumer fairness concerns into a dynamic pricing strategy. Conversely, in cases where the developer offers a high-depth content product, consumer fairness concerns benefit the developer. Furthermore, our analysis reveals a consistent benefit for the developer from the inclusion of myopic consumers.

Few studies have delved into the conjoined influence of consumer fairness concerns and strategic behavior on dynamic pricing strategy. Our findings indicate that consumer fairness concerns can enhance the efficiency of the value chain for content products under specific conditions. This paper not only enriches the existing literature on dynamic pricing by incorporating consumer fairness concerns theoretically but also offers practical insights. The outcomes of this research can guide content product developers in devising optimal dynamic pricing strategies.

The purpose of this study is to examine the impact of educational service quality (ESQ) on student academic performance via the mediating role of student satisfaction.

To serve the study’s purpose, the study adopted a quantitative research approach. Three public universities representing 30% of the ten public universities located in the Southern part of Ethiopia participated in the study. Questionnaires were the main tools for gathering data. The adapted questionnaire, consisting of 116 items was administered to 400 randomly selected regular undergraduate graduating class students. The quantitative data collected via questionnaire were analyzed using descriptive and advanced inferential statistics.

The quantitative findings revealed that there is a statistically positive association between overall education service quality and students’ satisfaction (r = 0.712). The findings proved that the facets of education service quality accounted for 71.2% of the variations in students’ satisfaction in the universities. The quantitative findings further showed that the education service quality has a statistically indirect effect on students’ academic performance via the mediating role of students’ satisfaction (test statistic = 31.5311573, std. error = 0.00122536 and p-value = 0). The findings further confirmed that the overall education service quality accounted for 12.7% of the variations in students’ academic performance via student satisfaction in the universities.

The present study was conducted in public universities located in the Southern part of Ethiopia. The findings and conclusions of the study may not be generalizable to all Ethiopian public universities. Future researchers and scholars should conduct their study in all Ethiopian public universities by taking a representative sample from the Ethiopian public universities.

The present finding suggests that an improvement in ESQ leads to students’ satisfaction and that could contribute to boosting their academic performance. The findings of the present may help the practitioners who measure higher education service quality by providing how the provision of ESQ indirectly influences the student’s academic performance in the universities.

The findings of this study confirmed that the facets of ESQ are associated with students’ satisfaction and this, in turn, indirectly influences their academic performance. Student academic performance is one of the key indicators of quality education, and it has its influences on the social, political and economic development of a country. The findings of the present research provide valuable insights to higher education management bodies, higher quality assurance agencies and the Federal Ministry of Education to learn the indirect effect of ESQ on students’ academic performance and take necessary measures to improve the Ethiopian higher education quality.

The contributions of ESQ in the higher education sector are enormous. However, the existing service quality literature in higher education mainly focuses on the interrelation among service quality, student satisfaction, loyalty and behavioral intentions. Little is known about the indirect influence of ESQ on student academic performance (one of the key indicators of quality education), principally in Ethiopian higher education, the place of current research. The present study showed the indirect impact of ESQ on student academic performance in Ethiopian public universities. The study, therefore, suggests that university management bodies should actively monitor the quality of their services and commit themselves to boosting students’ learning outcomes.

This paper aims to design a hybrid model of knowledge-based performance management system (KBPMS) for facilitating Lean Six-Sigma (L6s) application to increase contractor productivity without compromising human safety in Indonesian upstream oil field operations that manage ageing and life extension (ALE) facilities.

The research design applies a pragmatic paradigm by employing action research strategy with qualitative-quantitative methodology involving 385 of 1,533 workers. The KBPMS-L6s conceptual framework is developed and enriched with the Analytical Hierarchy Process (AHP) to prioritize fit-for-purpose Key Performance Indicators. The application of L6s with Human Performance Modes analysis is used to provide a statistical baseline approach for pre-assessment of the contractor’s organizational capabilities. A comprehensive literature review is given for the main pillars of the contextual framework.

The KBPMS-L6s concept has given an improved hierarchy for strategic and operational levels to achieve a performance benchmark to manage ALE facilities in Indonesian upstream oil field operations. To increase quality management practices in managing ALE facilities, the L6s application requires an assessment of the organizational capability of contractors and an analysis of Human Performance Modes (HPM) to identify levels of construction workers’ productivity based on human competency and safety awareness that have never been done in this field.

The action research will only focus on the contractors’ productivity and safety performances that are managed by infrastructure maintenance programs for managing integrity of ALE facilities in Indonesian upstream of oil field operations. Future research could go toward validating this approach in other sectors.

This paper discusses the implications of developing the hybrid KBPMS- L6s enriched with AHP methodology and the application of HPM analysis to achieve a 14% reduction in inefficient working time, a 28% reduction in supervision costs, a 15% reduction in schedule completion delays, and a 78% reduction in safety incident rates of Total Recordable Incident Rate (TRIR), Days Away Restricted or Job Transfer (DART) and Motor Vehicle Crash (MVC), as evidence of achieving fit-for-purpose KPIs with safer, better, faster, and at lower costs.

This paper does not discuss social implications

This paper successfully demonstrates a novel use of Knowledge-Based system with the integration AHP and HPM analysis to develop a hybrid KBPMS-L6s concept that successfully increases contractor productivity without compromising human safety performance while implementing ALE facility infrastructure maintenance program in upstream oil field operations.

The Indian pharmaceutical industry currently faces multiple challenges, including rising costs and slowing export growth, which in turn have limited its ability to expand presence in global canvas. Given the nature of sectoral dynamics, a pharmaceutical firm must undertake huge investments in R&D to introduce product innovation, in turn enhancing market share and sustaining profit streams. The development of novel medicines, confirmed by the granting of patent rights, provides a pharma company edge over its competitors. In addition, presence of innovator firms within the industry invigorates the sectoral value chain and raises efficiency. Hence, it is important to analyze whether granting patent rights enhances the exports of pharmaceutical products in the Indian context.

The current study explored this question using a simultaneous-equation framework. Specifically, the authors use the methods developed by Davidson and MacKinnon (1993) and Greene (2003) to obtain heteroscedasticity-consistent estimates. The time-series properties of the data were further probed, and robust estimates were used to test the theory. Methods developed by Baltagi (1981) have been used further to refine the authors’ estimations.

After controlling for relevant variables, it is observed that granting of patents caused a significantly positive impact on pharmaceutical exports. Furthermore, the change in the patent administration regime had a significant impact on patent fillings, which further impacted their exportability. Compared to patents granted patents filed had a higher impact on pharmaceutical exports.

This study attempts to apply the framework developed by Goldstein and Khan (1978) with necessary modifications to suit the context of a developing country. The application of the 3SLS method to estimate the export supply equation for pharmaceutical products is a novel approach to the research question in general and to the Indian context in particular. System autocorrelation and heteroscedasticity tests were performed to refine the results further.

Grounded in strategic fit theory, this study aims to identify external and internal factors that influence retailers’ strategic choices regarding their own product brands. Furthermore, it seeks to explore the variations between different own product brand strategies in achieving both external and internal strategic fit.

The systematic review method, incorporating a thematic analysis, was adopted, and 318 articles were included for review.

The factors that influence retailers’ strategic choices regarding their own product brands encompass a range of external macro and industrial environmental factors, along with various internal resource and capability factors. Moreover, the effects of these factors vary across different own product brand strategies.

To our knowledge, this is the first systematic review of research on retailers’ own product brands from a strategic management perspective, offering systematic and structured guidance for retailers.

This study aims to explore the motivators of mothers’ experience on their engagement behavior in the case of baby care toiletries. Additionally, the role of Brand trust and commitment have also been evaluated.

The conceptual model was empirically tested based on the data collected through a survey using 320 samples from India and 431 samples from Sri Lanka. Data were analyzed using structural equation modeling.

Sensory and behavioral dimensions of brand experience can be considered as key drivers of brand trust and brand commitment among millennial mothers in the context of baby care toiletries. It was observed that brand trust had a significant positive impact on brand commitment. There was a significant relationship between brand trust, brand commitment and customer engagement. It was also inferred that brand loyalty is the consequence of customer engagement.

Marketers should gear up initiatives targeting new mothers through healthy aspects and genuine packaging to strengthen the mother’s trust through periodic uses of the product.

The present study is one of the unique empirical investigations that examine the antecedents of consumer engagement in the less researched context of high inherent risk products like baby toiletries.

This paper aims to simulate vital corrective actions (CAs) affecting system availability through a system dynamics approach based on the results obtained by analyzing the causal relationships among failure modes and effects analysis elements.

A stock and flow diagram has been developed to simulate system behaviors during a timeframe. Some improvement scenarios regarding the most necessary CAs according to their strategic priority and the possibility of eliminating root causes of critical failure modes in a roller-transmission system have been simulated and analyzed to choose the most effective one(s) for the system availability. The proposed approach has been examined in a steel-manufacturing company.

Results indicated the most effective CAs to remove or diminish critical failure causes that led to the less reliability of the system. It illustrated the impacts of the selected CAs on eliminating or decreasing root causes of the critical failure modes, lessening the system’s failure rate and increasing the system availability more effectively.

Results allow managers and decision-makers to consider different maintenance scenarios without wasting time and more cost, choosing the most appropriate option according to system conditions.

This study innovation would be the dynamic analysis of interactions among failure modes, effects and causes over time to predict the system behavior and improve availability by choosing the most effective CAs through improvement scenario simulation via VENSIM software.

The purpose of this paper is to examine the restructuring of human resources development processes in Indian Institutes of Technology (IIT) libraries in North India, emphasizing the essential information and communications technology (ICT) skills for both recruits and existing staff.

The study used a survey research design, with two different sets of structured questionnaires used to collect data. The first set, which was distributed to all heads of seven IIT libraries in North India, received a 100% response rate. Simultaneously, the second set was distributed to library users, yielding a 92% response rate (680 responses out of 700 distributed). The collected data were analyzed and tabulated, with suitable interpretations.

The findings of the study reveal that all examined libraries have implemented skill development programs. Moreover, advanced ICT skills are considered essential for staff appointments, and specific institutes (IIT Kanpur, IIT Delhi, IIT Jodhpur and IIT Ropar) took the initiative to provide ICT training to their employees. Trained employees exhibited enhanced performance, attributed to advanced ICT knowledge. The study suggests restructuring selection criteria and introducing structured ICT training programs for library staff, ensuring a more adept workforce for current demands.

The study can increase the impact globally on human resource development by incorporating soft skills, job satisfaction and leadership development while exploring research opportunities through cross-institutional comparisons and the integration of emerging technologies such as artificial intelligence and virtual reality.

This study collected primary data from IIT libraries in North India using self-designed questionnaires. The findings provide useful insights into how libraries might restructure human resource development in the digital age.

This article argues the value of integrating pragmatism in applying behavioural science to complex challenges. We describe a behaviour change-led knowledge co-production process in the specific context of climate change in Australia. This process was led by an interdisciplinary research team who struggled with the limitations of the prevailing deterministic behaviour change paradigms, such as the “test, learn, adapt” model, which often focuses narrowly on individual behaviours and fails to integrate multiple interpretations from diverse stakeholders into their knowledge co-production process.

This article uses collaborative reflection as a method of inquiry. We document the team’s experience of a recent challenge-led, programatic research initiative that applied behaviour change strategies to reduce climate vulnerabilities. We demonstrate the necessity of critical reflection and abductive reasoning in the face of the complexities inherent in knowledge co-production addressing complex problems. It underscores the importance of accommodating diverse perspectives and contextual nuances over a one-size-fits-all method.

The article shares lessons learnt about integrating collaborative and critical reflection throughout a project cycle and demonstrates the capacity of abductive reasoning to ease the challenges arising from the tension between behaviour change paradigms and knowledge co-production principles. This approach allows for a more adaptable and context-sensitive application, acknowledging the multiplicity of understandings and the dynamic nature of behavioural change in relation to climate adaptation.

This reflection contributes original insights into the fusion of pragmatism with behaviour change strategies, proposing a novel framework that prioritises flexibility, context-specificity and the recognition of various stakeholder perspectives in the co-production of knowledge.