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In this paper, the authors study the behavior of heat and mass transfer between parallel plates of a steady nanofluid flow in the presence of a uniform magnetic field. In the model of nanofluids, the essential effect of thermophoresis and Brownian motion has been encompassed.

The variation of parameters method has been exploited to solve the differential equations of nanofluid model. The legitimacy of the variation of parameters method has been corroborated by a comparison of foregoing works by many authors on viscous fluid.

An analysis of the model is performed for different parameters, namely, viscosity parameter, Brownian parameter, thermophoretic parameter and magnetic parameter.

The variation of parameters method proves to be very effective in solving nonlinear system of ordinary differential equations which frequently arise in fluid mechanics.

This paper aims to propose a method by merging Legendre wavelets method and quasilinearization technique to tackle with the nonlinearity and to get better and more accurate results.

To test the significance of the proposed scheme, the authors applied the method on the model representing magneto-hydrodynamic squeezing flow of a viscous fluid between two parallel infinite disks, where one disk is impermeable and the other is porous with either suction or injection of the fluid. For the sake of comparison, numerical solution by using RK-4 is also computed. From the graphs and tables, it is evident that the proposed method shows an excellent accordance with the numerical solution.

The solution converges to the numerical solution when the degree of Legendre polynomials m is increased. For m = 20 in all the three cases, for different values of S, M and A, the graphs of solutions obtained by Legendre wavelet quasilinearization technique show an excellent agreement with numerical solution. Also, it is evident from figures that suction and injection affects the velocity profile in opposite way. For suction, maximum velocity is seen to be at the center of the channel. Magnetic field can be used to regularize the flow and it stabilizes the flow behavior.

Magnetic field can be used to regularize the flow and it stabilizes the flow behavior.

This paper aims to address the relationship of teachers’ technological pedagogical content knowledge (TPACK) and their technology proficiency according to the International Society for Technology in Education Standards for Teachers (ISTE-ST) in public and private universities of Karachi, Pakistan.

Quantitative approach with survey research design was used. In total, 520 teachers of public and private universities were selected on the basis of simple random sampling technique. Data was collected through questionnaire distribution.

Strong significant correlation was found between teacher’ TPACK and teachers’ technology proficiency, teachers’ ability to engage in professional development and teachers’ ability to promote digital citizenship and responsibilities in students.

TPACK and ISTE-ST are used for effective teaching. TPACK is used to measure teachers’ ability to integrate technology in their teaching, while ISTE-ST is used to measure the proficiency technology integration. This study is unique as it discusses the relationship of TPACK and ISTE-ST framework in term of teachers’ ability to promote digital citizenship and responsibilities in students and teachers’ ability to engage themselves in professional development program.

This study seeks to examine the links between employee agreeableness, group performance, and peers' perceptions of threat of retaliation, through relationship conflict.

In a laboratory setting, 42 groups of undergraduate students (N = 182) from a Pakistani university were assigned to group projects to be completed within four months. Data collected from three different questionnaires at four different times and actual scores awarded by the course instructor to each group were used for the analyses. Based on r_WG(J) and ICC(1), level 1 (182 students') data were aggregated to level 2 (groups), and then analysed using regression analysis followed by Preacher and Hayes' bootstrapping procedure.

Results suggest that high agreeableness predicts group performance positively and peers' perceptions of threat of retaliation negatively. Moreover, relationship conflict among group members significantly mediates the agreeableness-group performance relationship. The above relationships may be sensitive to national culture.

In this study, groups were formed for a few months, whereas in real organizational life, workgroups are formed for different durations. Therefore, the range of situations to which these findings generalize remains an open question.

Agreeableness of group members can be constructive for performance of the group. Managers may utilize this insight while forming groups, and rating performance.

There is dearth of research illuminating how employee's personality traits affect group performance and appraisal ratings. The study tests the effects of employee agreeableness on: (1) group performance, as rated by supervisors; (2) the threat of retaliation, as perceived by peer raters; and (3) the mediating effect of relationship conflict.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.

This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations.

This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques.

A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions.

Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.

This study aims to determine the influence of Mobile learning (M-learning) technologies based on the gender orientation of vocational education construction trade trainees in Pakistan. Additionally, it explores the challenges associated with integrating M-learning technologies in vocational institutions of civil engineering. Further, this study will focus on the solutions to improve the accessibility of M-learning technologies after the pandemic.

A quantitative method with a survey research design has been adopted in this study. In contrast, the target population was the trainees of vocational education institutions of civil engineering in Pakistan. Further, the data was collected using an adapted survey tool with a five-point Likert scale. Similarly, the data were analyzed through SPSS 27 software tool by using descriptive and inferential statistics.

The study's findings highlighted a positive influence of M-learning technologies based on the gender orientation of construction trade trainees from vocational institutions. Similarly, it is also specified that the challenges vocational trainees of the construction trade have faced while utilizing M-learning technologies were related. Hence, it is evident that the potential challenges of M-learning technologies integration and utilization are related to both gender orientations during a postpandemic situation in Pakistan.

In the Pakistani context, the M-learning technologies approach is recently introduced in the vocational education sector. Therefore, the utilization and integration of M-learning technologies are considered challenging tasks in the context. In this regard, this study helps to understand the acceptance, challenges and impact of M-learning technologies based on gender orientation among vocational institutions trainees of construction trade in Pakistan.

This study not only refers to the impact of M-learning technologies and their challenges but also highlights the current situation of M-learning in Pakistan, particularly construction engineering trainees in vocational education institutes.

The purpose of this study to highlight the changing living patterns in the Pakistani community from joint family to nuclear family setup which is becoming the main reason for the loss of days when family members used to be responsible for elderly care. The ageing population in Pakistan are suffering from severe health and care issues. The Pakistani society, which once used to consider the senior citizen as a blessing now started considering them as a forced liability.

This study adopts the qualitative research strategy and interviews conducted in the local language with five women and men elderly each residing in old folk homes.

The study revealed that the main reasons behind increasing old folk trends in Pakistan are lack of family support, migration of children, less community awareness, economic issues, loneliness, dementia and invasion of western culture.

This study adopts the qualitative research strategy and interviews conducted in the local language with five women and men elderly each residing in old folk homes. The study revealed that the main reasons behind increasing old folk trends in Pakistan are lack of family support, migration of children, less community awareness, economic issues, loneliness, dementia and invasion of western culture.

The purpose of this study is to demonstrate how alertness enable small and medium scale enterprise (SME) owners to leverage their individual entrepreneurial orientation (IEO) such as risk-taking, pro-activity, innovation, passion and perseverance in a better way to recognize opportunities for financial resources as compared to their counterparts who are not alert. Moreover, it elaborates on the mediating role of opportunity recognition of financial resources between IEO and SMEs’ access to finance (AF).

A three-wave time-lagged survey from a stratified sample of 271 small and medium scale business owners in Pakistan was conducted and the data were analysed using PROCESS models 1 and 4.

The findings grounded in the theory of Action Regulation, signify that the IEO of small and medium scale business owners helps them attain financial resources through opportunity recognition capacity which is an action characteristic. Moreover, the IEO of SME owners, coupled with entrepreneurial alertness (EA; a cognitive pre-action state), amplifies their ability to recognize opportunities for financial resource availability.

This is one of the initial studies to test the IEO scale, including passion and perseverance. Moreover, it has added to the individual-level antecedents of AF in small and medium scale businesses through the role of EA and opportunity recognition.

Growing environmental challenge awareness among consumers is today's business reality that pushes for sustainable product development. Governments, industries, and consumers' attention are significantly moved from traditional products to eco-friendly product development. Green product development is the future for manufacturing businesses' survival in most markets. Green product development is an emerging phenomenon and, unfortunately, lacks theoretical and empirical research regarding effective organizational policies and practices for green product development. This study aims at filling research gaps towards green product development by highlighting green employee aspects influenced by leadership for sustainable business growth. The study hypothesized relations between the green effect of transformational leadership on green product development as an outcome through green behaviour, green climate, and green innovative creativity. Data was collected from small and medium enterprises (SMEs) of Karachi through a self-administered survey questionnaire. Results revealed significant support for hypothesized relations through the partial least square statistical tool. This study contributes theoretical and empirical advancement in past literature wherein leadership style influences employee behaviour that leads to predict product development from an environmental perspective. Study inferences suggest for visionary green leadership style for sustainable business growth. Limitations of this study regarding other variable inclusiveness, sampling, and geography are potential extensions for further scholarly investigation.