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This paper aims to incorporate a numerical investigation of unsteady flow of nano-fluid near the boundary wall and heat transmission over a flat sheet in porous media under the assumption that sheet is continuously stretching. A comprehensive study is accomplished to probe the impacts of different physical parameters on heat transmission and fluid flow.

The problem is designed mathematically by using Navier–Stokes equations and corresponding equations are transmuted into non-dimensional form, which are reduced to local non-similarity equations. Implicit finite difference scheme is used to attain a non-similar solution for values of similarity variable ranging in [0,1]

The reduced Nusselt number is a decreasing function of each dimensionless number, while the reduced Sherwood number is an increasing function of each considered value of parameters Pr, Sc, Nb and Nt.

Motivated by the industrial, technological and scientific importance, the objective of this study is to discuss the unsteady flow generated by linear stretching of the surface in Nano-fluid in a porous medium. However, the investigation of unsteady boundary layer flow and heat transfer of a Nano-fluid past a stretching surface immersed in a porous medium has not been discussed yet. Furthermore, finite difference scheme is used to solve the problem, and authenticate results are achieved which are in good agreement with published work.

The purpose of this paper is to present a novel approach for mining scientific trends using topics from Call for Papers (CFP). The work contributes a valuable input for researchers, academics, funding institutes and research administration departments by sharing the trends to set directions of research path.

The authors procure an innovative CFP data set to analyse scientific evolution and prestige of conferences that set scientific trends using scientific publications indexed in DBLP. Using the Field of Research code 804 from Australian Research Council, the authors identify 146 conferences (from 2006 to 2015) into different thematic areas by matching the terms extracted from publication titles with the Association for Computing Machinery Computing Classification System. Furthermore, the authors enrich the vocabulary of terms from the WordNet dictionary and Growbag data set. To measure the significance of terms, the authors adopt the following weighting schemas: probabilistic, gram, relative, accumulative and hierarchal.

The results indicate the rise of “big data analytics” from CFP topics in the last few years. Whereas the topics related to “privacy and security” show an exponential increase, the topics related to “semantic web” show a downfall in recent years. While analysing publication output in DBLP that matches CFP indexed in ERA Core A* to C rank conference, the authors identified that A* and A tier conferences not merely set publication trends, since B or C tier conferences target similar CFP.

Overall, the analyses presented in this research are prolific for the scientific community and research administrators to study research trends and better data management of digital libraries pertaining to the scientific literature.

The purpose of this study is to theoretically probe the shape impacts of nano-particle on boundary layer flow of nano-fluid toward a stretching cylinder with heat-transmission effects. The base fluid used for this study is pure water, and aluminum oxide nano-particles are suspended in it. Four different shapes of nano-particle, namely, cylindrical, brick, platelets and blades, are considered to carry out the study.

The problem is modelled mathematically and the nonlinear system of equations is attained by using appropriate transmutations. The solution of transmuted equations is achieved by utilizing a shooting technique with Fourth-Fifth order Runge–Kutta Fehlberg scheme. Numerically attained results are elucidated through graphs and tables which are further compared under limiting cases with existing literature to check the validity of the results.

It is observed that fluid velocity and temperature of cylindrical shaped water nano-fluids are more than the nano-fluid having brick-shaped nano-particles. Moreover, it is seen that the nano-fluids suspended with platelets-shaped nano-particles have higher velocity and temperature than the nano-fluids containing blade-shaped nano-particles. The curvature parameter and nano-particles volume fraction have increasing effects on flow velocity and temperature of nano-fluids containing all types of nano-particle shapes.

Numerous authors have examined the impacts of nano-particle shapes on characteristics of heat transfer and fluid flow. However, to the best of the authors’ knowledge, the shape impacts of nano-particles on boundary layer flow of nano-fluid toward a stretching cylinder with heat-transmission effects have not been discussed. So, to fulfill this gap, the present paper explicates the impacts of various nano-particle shapes on Al₂O₃–water-based nano-fluid flow past a stretching cylinder with heat-transfer effects.

Numerous researchers have probed the peristaltic flows because of their immense usage in industrial engineering, biomedical engineering and biological sciences. However, the investigation of peristaltic flow in two-phase fluid of a rotating frame in the presence of a magnetic field has not been yet discussed. Therefore, to fulfill this gap in the existing literature, this paper will explicate the peristaltic flow of two-phase fluid across a rotating channel with the effect of wall properties in the presence of a magnetic field. The purpose of this study is to investigate the two-phase velocity distribution and rotation parameter when magneto-hydrodynamics is applied.

The constituent equations are solved under the condition of low Reynolds number and long wavelength. The exact method is used to attain the subsequent equations and a comprehensive graphical study for fluid phase, particulate phase velocity and flow rates are furnished. The impacts of pertinent parameters, magnetic field and rotation are discussed in detail.

It is witnessed that the velocity profile of particulate phase gets higher values for the same parameters as compared to the fluid phase velocity. Moreover, the axial velocity increases with different values of particle volume fraction, but in case of magnetic field and rotation parameter, it shows the opposite behavior.

The outcomes of study have viable industrial implementations in systems comprising solid-liquid based flows of fluids involving peristaltic movement.

The investigation of peristaltic flow in two-phase fluid of a rotating frame in the presence of a magnetic field has not been yet discussed. Therefore, to fulfill this gap, the present study will explicate the peristaltic flow of two-phase fluid across a rotating channel with the effect of wall properties in the presence of magnetic field.

The purpose of this paper is to study the effect of piston position on the in-cylinder swirling flow in a simplified model of a large two-stroke marine diesel engine.

Large eddy simulations with four different models for the turbulent flow are used: a one-equation model, a dynamic one-equation model, a localized dynamic one-equation model and a mixed-scale model. Simulations are carried out for two different geometries corresponding to 100 and 50 percent open scavenge ports.

It is found that the mean tangential profile inside the cylinder changes qualitatively with port closure from a Lamb-Oseen vortex profile to a solid body rotation, while the axial velocity changes from a wake-like profile to a jet-like profile. The numerical results are compared with particle image velocimetry measurements, and in general, the authors find a good agreement.

Considering the complexity of the real engine, the authors designed the engine model using the simplest configuration possible. The setup contains no moving parts, the combustion is neglected and the exhaust valve is discarded.

Studying the flow in a simplified engine model, the setup allows studies of fundamental aspects of swirling flow in a uniform scavenged engine. Comparing the four turbulence models, the local dynamic one-equation model is found to give the best agreement with the experimental results.

The purpose of this paper is to analyze the processes of identification, emergence and filling of organizational knowledge gaps over an extended period of time, using the strategy in action perspective. Specifically, it aims to explore the nature and types of knowledge gaps, to capture their changes and to shed some light on the processes of filling knowledge gaps.

The study is based on two case studies and adopts a processual approach. It analyses 40 years of data collected using secondary sources and semi-structured interviews over a period of two years and identifies critical organizational events both in retrospect and real time.

The findings show that the two case study companies have identified a number of knowledge gaps over the 40 years period. Changes in the nature and type of knowledge gaps are identified and discussed in detail leading to a new taxonomy of organisational knowledge gaps. The findings report that knowledge gaps emerge due to changes in both exogenous and endogenous conditions over time. The filling of those gaps depends on a number of factors. Among these, the ability to make a distinction between “strategic” and “imposed” knowledge gaps and the ability to build absorptive capacity within a stipulated time frame have a predominant role.

The respondents were asked to look back into the history of their company using their memory of events to provide explanations surrounding critical organizational events. Since some of the respondents had not witnessed all of the events in question, their responses were at times based on hearsay. However, every effort was made to check the authenticity of the respondents ' explanations, such as using a range of sources and discussing the events with respondents at different hierarchical levels of the company.

This study provides examples of knowledge in practice and puts forward a new taxonomy of knowledge gaps which can help managers to deal with imposed and strategic knowledge requirements. Specifically, this study equips managers with tools on how to devise their knowledge strategy, how to identify their knowledge requirements and what are different sources (internal and external) which they can explore to fill those knowledge gaps.

The paper builds on the strategy in practice perspective, which stresses the need for further studies to link theoretical frameworks with practical solutions. In this respect, this paper attempts to make sense of organizational knowledge theory by applying it in real life business situations and by unearthing the concept and usage of knowledge gaps. The use of a retrospective processual approach to study changes in organizational knowledge requirements over time is another interesting aspect of this research. Finally, the paper provides a new taxonomy of organizational knowledge gaps.

The purpose of this paper is to examine strategic decisions surrounding critical events to show how the decision-making processes evolve and how the dominant logic changes vis-à-vis those decisions. Further, this study explores the processes of managerial decision making focusing on spatial and temporal cognition dimensions.

The methodology adopted in this study is a case study using the retrospective processual analysis approach. Data were collected using both primary and secondary sources. In all, 40 years of secondary data on key critical events and decision making were collected using a range of secondary sources. Those events were further examined using 49 in-depth semi structured interviews.

The findings of this study explain the relationship between operant conditions, strategic actions and outcomes of strategic decisions by highlighting the significance of knowledge strategy, strategic agility and intentionality in shaping and reshaping managers’ dominant logic. Further, the authors show that the dominant coalition, among other factors, plays an important role in building decision-making capacity and in the formation and transformation of an existing dominant logic.

The study identified a number of limitations. First, the issue of generalization as the data were collected from only two case study companies. Second, in some cases respondents were asked to respond to research questions using “memory of the events” which took place a long time ago, hence the issue of credibility. Further, sometimes respondents reported information collected through hearsay. To overcome the limitations of this research, the authors made all efforts to ensure that the data collected were reliable and credible such as by using diverse data sources, confirmation of events at multiple level and personal observations.

The study identifies and explains a number of factors which influence decision making. The authors also present the revised dominant logic model which can act as a tool in managerial decision making.

The paper shows how managerial decision making changes knowledge strategy, which in turn leads to changes in existing dominant logic or the creation of a new dominant logic, hence looking at the issues of decision making using an evolutionary perspective. Second, the paper empirically tests and explains the relationship between intentionality, actions and organizational outcomes using spatial and temporal learning. Finally, the use of the longitudinal retrospective processual analysis and events analysis, is a novel way of understanding a particular phenomenon.

Cultivation of a learning culture and subsequent enhancements in employee performance can be translated through employee engagement. This study aims to examine the mediating role of employee engagement in the relationship between the learning culture and employee performance.

This research adopted a quantitative approach, wherein 450 questionnaires were distributed among employees in both public and private sectors in Nepal. A total of 389 questionnaires were returned, followed by two to three reminders. Convenience sampling was utilized, and the data was collected through a questionnaire survey. Descriptive analysis and Structural Equation Modeling – Path analysis was used to describe and hypotheses testing. Data was analyzed using SmartPLS 4.0 and SPSS 24v.

It was found that employee engagement has a mediating effect on the relationship between the learning culture and employee performance. Learning culture also has a positive influence on employee engagement that eventually affects the performance of the employees. This conclusion suggests that fostering a learning culture within an organization should be focused on cultivating an environment that promotes active employee participation, thereby enhancing overall employee performance.

This article provides significant insights into the cultivation of a learning culture inside firms, with a specific focus on establishing an atmosphere that fosters active employee engagement to improve overall employee performance in the service sector. This tool has the potential to facilitate further investigation and progress within the area, while also promoting the adoption of evidence-based learning practices and their associated implications.

In the era of hyper-competitiveness, firms, especially project-based management structures, have to focus on ideas for both new and existing sets of products and services, i.e. ambidextrous innovation. The ambidextrous innovation can be helpful, but achieving such a level is a problem to be solved. This study aims to yield ambidextrous innovation by using innovative culture and knowledge that has been gained from learning.

The present research collected data from Saudi Arabian public-sector firms. The data collected is analyzed using the partial least squares structural equation modeling (PLS-SEM).

The findings of the study suggest that a range of factors can be operationalized in project-based firms to establish organizational learning and innovation culture. These factors include agile-based project management, leveraging existing innovative capabilities and growth mindset in case of innovative organizational culture and additional factors of agile-based knowledge management along with others in case of organizational learning. The PLS-SEM further concluded that both organizational learning and innovative organizational culture, in turn, help project-based Saudi Arabian public-sector firms to develop their ambidextrous innovation capability.

The PLS-SEM further concluded that both the organizational learning and innovative organizational culture, in turn, help project-based Saudi Arabian public-sector firms to develop their ambidextrous innovation capability.

This study aims to evaluate the knowledge structure of knowledge management (KM) applications within small and medium enterprises (SMEs). In pursuit of excellence, SMEs must adopt KM like large corporations, even with limited resources.

Through a bibliometric approach, this study evaluates current themes based on bibliographic coupling analysis and predicts future trends based on coword analysis. A total of 726 documents and 2,658 keywords were derived from the Web of Science database.

Findings show four clusters in bibliographic coupling and three in coword analysis. A common theme discovered converged on digital technology to ensure SMEs follow current market trends.

Advanced application of Industry 4.0 requires digital transformation for SMEs’ pursuit of excellence. Implications include sustaining SMEs through a considerable KM system integrated with digital technology for sustainable business activities.

To the best of the authors’ knowledge, this study is among the first to provide a science mapping analysis on KM in SMEs by applying a bibliometric analysis.