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The purpose of this study is to investigate the impact of strategic entrepreneurship on explorative and exploitative innovation in the presence of strategic learning capabilities. This study has also explored the moderating role of structural organicity between strategic entrepreneurship and strategic learning capabilities.

A total of 298 employees working in software houses of Pakistan participated in the study. The study used a questionnaire-based survey through “google forms” on convenience basis, and structural equation modeling was used to test the hypotheses.

The results supported the positive association of strategic entrepreneurship with explorative and exploitative dimensions of innovation. Further, strategic learning capabilities was noted to mediate the association between strategic entrepreneurship and explorative innovation; however, it did not mediate the association between strategic entrepreneurship and exploitative innovation. Finally, the study examined the moderating role of structural organicity and noted a higher positive impact of strategic entrepreneurship on learning capabilities in the case of high structural organicity.

The study collected data from a developing country during COVID-19, which may affect generalizability. The study suggests management to work on employees’ learning capabilities to cultivate the benefits of explorative innovation.

This study explores the mediating role of strategic learning capabilities between strategic entrepreneurship and innovation ambidexterity. In addition, it explores the conditional effect of structural organicity to trigger strategic learning capabilities.

The first objective of this study is to review the mechanism of conducting extra-curricular activities (ECAs) in the open and distance learning (ODL) setting. To achieve this objective, the procedure of ECAs at the Virtual University of Pakistan has been studied. The second objective of this study is to find the impact of ECAs on student engagement.

This is a cross-sectional quantitative study. The questionnaire has been used to collect the data. The purposive sampling technique has been used, while this study's sample size is 970. An independent sample t-test has been used to find the difference between the groups.

This study shows a significant difference between the engagement levels of students who have been part of any ECA at university compared to the students who never participated in any ECA.

The results have been derived from the data gathered from one university only that might hinder the generalizability of the findings. The same study can be conducted in other ODL institutions to authenticate the findings.

This study will help in realizing the policymakers of ODL about the importance of ECCAs. This study has also discussed an existing system of conducting ECCAs in an ODL setting that can be generalized and implemented across all the ODL universities to enhance student engagement.

This study has highlighted the importance of ECAs in ODL institutions that have been neglected since forever. This study is novel because it has highlighted the importance of social interaction of students in ODL and its relation with student engagement that has not been highlighted by any study so far.

The purpose of this study is to explore and highlight the issues and challenges teachers face while supervising thesis and projects in distance/online learning mode.

This is a cross-sectional qualitative study. Grounded theory approach using Gioia methodology has been applied. Semi-structured interviews of 16 research supervisors have been conducted to explore the issues and challenges faced by the supervisors in guiding research students. Purposive sampling is used to select the subjects for data collection.

Results of the study reveal that the time constraints, official restrictions, irregular contacts and technology are the main issues faced by supervisors. Whereas student–supervisor interaction, diversity, perceptions, virtual communities and academic collaboration are the biggest challenges for the supervisors in distance learning. Lastly, it is found that students' attitude and supervisors' mindset are the key success factors in distance research supervision.

Findings of this paper will help institutions particularly in Asia, to strategically review their research programs to make these programs more effective. Effectiveness will encompass two things, timely completion and novel research. If these two things are addressed efficiently, comparison of distance learning with conventional learning will be more favorable for distance learning.

This study will be helpful for the top management of distance/online learning institutes to better equip their teachers and students to complete their research endeavors accordingly. This is an empirical research based on primary data collected from the research supervisors currently supervising thesis/projects at Virtual University of Pakistan.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Companies that develop strategic entrepreneurship become better positioned to build the capacity to generate both exploitative and explorative forms of innovation. The process is further helped through strategic learning capabilities that are further enabled through an organic organizational structure founded on openness, collaboration, flexibility and decentralization.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The dynamic global environment has increased the requirement of multidisciplinary entrepreneurial engineers. While studying entrepreneurial aspects of engineers, researchers have not considered inherent variability due to engineering majors. This study investigates the impact of entrepreneurial motivation (EM) on entrepreneurial intentions (EIs), to analyse the inherent entrepreneurial potential of engineering majors. The impact of entrepreneurial education has also been studied to proffer recommendations for policymakers.

The design of this study is a survey conducted with 342 undergraduate students from three major engineering institutions in Pakistan using a close-structured questionnaire. Moderation analysis examines the entrepreneurial potential of different engineering majors. Analysis of variance (ANOVA) has been conducted to compare the EIs of different engineering majors and regarding the impact of entrepreneurial education on EIs.

The engineering major's role in the transformation of EM to EIs is multifaceted. EIs of students of a few engineering majors were found high. Entrepreneurship education improves the overall EIs of engineering students.

Outcomes of the study are useful for academia and policymakers to engage students of particular engineering majors, identified as entrepreneurial, in advanced entrepreneurial education and expose them to potential start-ups to have better value addition in specific sectors.

This is the first study in which engineering majors have been examined to bring insights about inherent entrepreneurial potential. This inherent entrepreneurial potential needs further exploration by academic researchers. The study has provided the base for future studies to institutionalize entrepreneurial education for different engineering majors.

In this article, we consider the magnetohydrodynamic (MHD) nanofluid flow over a rotating stretchable disk through porous medium. For porous medium, Darcy’s relation is used. It also encompassed the impact of nanoparticles shape on MHD nanofluid flow and heat transfer. The effect of thermal radiation and Joule heating is also being considered.

Three categories of nanoparticles are taken into deliberation, i.e. copper, silver and titanium oxide. The nanofluid is made of pure water and various types of sphere- and lamina-shaped nanoparticles. By using appropriate similarity transformation, the governing partial differential equations are transformed to ordinary one. The coupled ordinary differential equations system is tackled numerically by bvp4c method.

The impact of various pertinent parameters, i.e. solid volume fraction, Hartman number, thermal radiations parameter, Reynolds number, Eckert number, porosity parameter and ratio parameter, on flow and Nusselt number with a fixed value of Prandtl number at 6.2 is discussed in details. The obtained results are presented in the concluding section. The lamina shape of nanoparticles in silver-water performed an excellent role on temperature distribution. The heat transfer rate of lamina shape in copper-water was found to be greater in the system of flow regime.

The authors have discussed the shape effect of nanoparticles on MHD nanofluid flow over a rotating stretchable disk through porous medium using three categories of nanoparticles, such as copper, silver and titanium oxide. To the best of the authors’ knowledge, this is the first study on mass and heat transfer nanofluid flow and no such study is yet published in literature. A detailed mathematical analysis has also to be carried out to prove the regularity of model. The authors believe that the numerical results are original and have not been copied from any other sources.

The external business environment of the organization is always changing at a rapid pace. For a firm to adapt to changing client requirements, it must implement the right business procedures and strategies. To improve competitive advantage, this study investigates the roles that supply chain partnerships, cross-functional integration, responsiveness and resilience play in achieving competitive advantages in Palestine.

Industrial institutions in Palestine constitute the study population. Data are collected by distributing surveys via Google Forms linked to manufacturers in industries such as the Leather and shoe Industry, metal industries, chemical industries, construction industries, textile industries, stone and marble industries, pharmaceutical industry, veterinary industry, food industry, plastic industry, paper industry, major advantages and disadvantages. The SEM-PLS approach is used to analyze the data.

The findings demonstrate that supply chain responsiveness, resilience and cooperation are all improved by cross-functional integration in inventory data integration and immediate operation. Supply chain partnerships improve the supply chain’s responsiveness, resilience and competitive advantage by involving partners in work teams and exchanging best practices. The enhancement of supply chain resilience and competitive advantage is influenced by the company’s capacity to act promptly in response to variations in demands.

This paper faces some limitations and it can be drawn as follows: To enhance supply chain risk management, the study continues to concentrate on manufacturing organizations that have internal integration. It also emphasizes the necessity of supply chain integration, which establishes direct connections with outside partners.

The findings of this study suggest some policy implications, as follows: To provide the manufacturing sector with a competitive edge, operations supervisors must be able to track and assess processes to ensure they are meeting demand. Firms that possess the ability to adjust to novel procedures or advancements in technology gain a competitive edge by guaranteeing consistent and high-quality delivery of products.

By implementing IT integration, this study theoretically and practically advances the understanding of the resource-based view of competitive advantages. This study focuses on providing insights into the nature of the relationship between supply chain partnership, cross-functional integration, responsiveness and flexibility and competitive advantages in the manufacturing sector in the Palestinian market.

This paper aims to present a dynamic model for strategic and personalized decision-making in human resources (HR), using data mining techniques to enhance corporate social sustainability (CSS). The focus is on the interconnectedness of employee engagement (EE), enablement and the quality of work life.

The proposed model integrates various HR data, including demographic information, job specifications, payment and rewards, attendance and absence, alongside employees’ perceptions of their work-life quality, engagement and enablement. Data mining processes are applied to generate meaningful insights for senior and middle managers.

The study implemented the model within a production organization, revealing that factors influencing EE and enablement differ based on gender, marital status and occupational group. Performance-based rewards play a significant role in enhancing engagement, regardless of the reward amount. Factors such as “being recognized for competency” influence engagement for women, while payment has a greater impact on men. Engagement does not directly influence the quality of work life, but subcomponents like perceived transparency and the organization’s processes, particularly the “employee performance evaluation system,” improve work-life quality.

The findings are specific to the studied organization, limiting generalizability. Future research should explore the model’s effectiveness in different cultural and organizational settings.

The proposed model provides practical implications for organizations that enhance CSS. Organizations can gain insights into factors influencing EE and enablement by using data mining techniques, enabling informed decision-making and tailored human resource management practices.

This research addresses the societal concern regarding the impact of business activities on sustainability. Organizations can contribute to a more socially responsible and sustainable business environment by focusing on work-life quality and EE.

This paper offers a dynamic model using data mining and machine learning techniques for sustainable human resource management. It emphasizes the importance of customization to align practices with the unique needs of the workforce.

The main purpose of this study is to examine the influence of two characteristics of supply chain management (SCM) (resilience and integration) on new product performance (NPP) via the mediation of marketing innovation orientation.

This study was designed by the quantitative method, and the research model was developed based on the resource-based view (RBV) theory of 211 managers from Israeli firms using SmartPls3 software.

The main finding that emerges from this study is that marketing innovation orientation serves as a full mediator in the relationship between supply chain resilience (SCR) and NPP as well as in the relationship between supply chain integration (SCI) and NPP. Thus, companies that wish to achieve a competitive advantage over their rivals should improve and strengthen their marketing innovation orientation. By doing so, they enhance the relationship between SCM and NPP.

The findings provide an applicable guideline for marketing managers. Managers should be ready to adapt to customers’ demands, environmental changes and, most importantly, disruptive events in a dynamic environment.

The current study sheds light on the mechanism for NPP via integrating suppliers, customers and the organization. So, managers should adopt SCR and integration to strengthen their marketing innovation orientation in order to achieve NPP.