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Drawing on the entrepreneurial event model (EEM), entrepreneurship education programs (EEPs) and perceived contextual support (adapted from social cognitive career theory) and perceived contextual barriers, this study aims to unravel the differences in entrepreneurial activity among university students in higher education institutes in two diverse Asian countries.

This study uses a cross-sectional survey-based data collection technique using paper and electronic methods. The study analyzes data using descriptive statistics, principal component analysis, reliability analysis and logistic regression analysis via SPSS version 25.

The findings show the positive influence of perceived desirability and feasibility on entrepreneurial intentions; however, the stronger desirability was found among university students in China and stronger feasibility toward entrepreneurial intentions among Pakistani students. The study reveals the negative significant influence of EEPs on entrepreneurial intentions, and this finding is consistent across both samples. Furthermore, the findings show that university students in both countries show insignificant impact of perceived contextual support in predicting entrepreneurial intentions. Finally, the study confirms the negative influence of perceived barriers on entrepreneurial intentions in both contexts.

This study provides differences in entrepreneurial activity by combing EEM, EEPs, perceived contextual support and barriers in two diverse Asian countries, and to the best of author’s knowledge, no previous study considered these factors in a single framework. Furthermore, the findings of the study enrich existing literature and also provide policy recommendations for practitioners.

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

Drawing on social cognitive career theory (SCCT), this study aims to examine how university students’ attitude towards entrepreneurship education (ATEE) consists of affective, cognitive and behavioral components influences their entrepreneurial intentions. It further examines the role of entrepreneurial self-efficacy (ESE) as a mediator and social norms as a moderator in the ATEE – entrepreneurial intentions and – ESE relationships, respectively.

A sample of 428 university students from the new generational cohort entering workforce now (i.e. generation Z) from the four main cities of the province of Punjab, Pakistan, were considered using an online administered questionnaire. The study analyzes data using SPSS v25 and AMOS v22 and presents descriptive statistics, reliability, validity analysis and linear regression analysis. Furthermore, to test mediation and moderation hypotheses, Hayes’ PROCESS macro v3.0 was used.

The results confirm that individuals’ ATEE based on affective, cognitive and behavioral components have significant influence on entrepreneurial intentions. The findings also confirm the strong mediating role of ESE between the components of ATEE and entrepreneurial intentions. Furthermore, the conditional effects results confirm that social norms strengthened the positive relationships between the affective, behavioral and cognitive components of ATEE – ESE at three levels (low, medium and high).

This study is the first of its nature to unlock the missing link between ATEE’s components and entrepreneurial intentions using the theoretical foundations of SCCT. Furthermore, this study provides theoretical and practical implications specifically considering a developing country – Pakistan.

The purpose of this paper is to extend the existing literature on entrepreneurial intentions (EIs) by employing the integrated model of personality traits and the theory of planned behavior (TPB). It further examines the mediating role of TPB’s dimensions between personality traits and EIs of final-year university students in two diverse economies: China and Pakistan.

The paper uses a survey method for data collection, administered both in electronic and paper form. The authors use structural equation modeling and the partial least square (PLS) method on a sample of 1,016 students and present PLS path modeling, mediation analysis and multigroup analysis.

Results reveal several differences regarding personality traits and TPB on EIs across the two countries. The impact of TPB was positive and significant in both countries; however, TPB demonstrated more explaining power in China’s student sample. Using three personality traits (risk-taking propensity, proactive personality and internal locus of control) as antecedents to TPB, the results reveal a stronger influence of personality traits among Chinese students. The mediation of three dimensions of TPB also revealed differences between country samples.

This is the first study of its kind to compare and contrast the differences between EIs in terms of personality and the determinants of planned behavior among university students in two diverse economies. The integrated model is original, supports both TPB and personality factors and provides a valuable perspective through its findings on two culturally diverse Asian countries. By applying the model in two different cultures, this study distinguishes the results for the two economies from those conducted in other economies.

The study aims to explore how young consumers perceive and adopt the online e-waste collection platform, by developing a conceptual framework that integrates the theory of planned behavior, the technology acceptance model and the perceived risk. Based on conceptual framework, the study further identifies factors that positively or negatively influence the Chinese millennials' decision on the use of online collection platform.

The study conducts a questionnaire survey from 807 Chinese millennials living in urban and rural areas. Based on the collected data, the partial least squares structural equation modeling (PLS-SEM) is employed to conduct PLS path modeling and multi-group analysis.

The study results support the proposed conceptual framework and confirm its robustness in investigating Chinese millennials' intentions to adopt online e-waste collection platform. The findings suggest that the perceived usefulness, perceived ease of use, attitude, subjective norms and perceived behavioral control have positive impact, while perceived risk has negative impact on the behavioral intentions of millennials on the adoption of the platform.

With the emergence of Internet technology, online e-waste collection platform has arisen as an innovative and alternative solution to improve environmental sustainability by encouraging e-waste collection through formal recycling channels in China. In order to divert the consumers from informal recycling channels to online e-waste collection platform, it is necessary to understand what factors impact the adoption of this platform among consumers. The study provides theoretical contribution and practical implications relevant to regulators and practitioners to encourage the adoption of online e-waste collection platform.

Drawing on the social cognition theory, the purpose of this research is to explore how selected individual and organizational determinants, namely individual academic output (AO) and previous commercialization experience, organizational scientific reputation and entrepreneurial support policies (ESPs) influence their broadly-defined academic entrepreneurial intentions, involving spin-off intention (SOI), patenting and licensing intention (PLI), contract research and consulting intention (CCI) through theory of planned behaviour (TPB) modelling.

The current research constructs the framework by combining reciprocal determinism in the social cognition theory with TPB. To testify the hypotheses, partial least squares structural equational modelling (PLS–SEM) technique with 272 observations from Chinese universities was utilized.

The findings show that academic-related determinants, namely individual AO and organizational reputation (OR), are more likely to influence academic scientists' SOI through TPB modelling, while entrepreneurial-related determinants in terms of individual previous commercialization experience (PCE) and ESPs in higher education organizations are more influential for promoting behavioural intention to all kinds of academic entrepreneurship activities through TPB modelling. The more formal academic entrepreneurship involvement (engaging in creating spin-offs) is better explained through TPB modelling, especially the continuous mediating effects of subjective norms and entrepreneurial attitude and perceived behavioural control are more effective on spin-off activities. In addition, subjective norms are more influential in mediating relationships between individual or organizational antecedents and academic entrepreneurial intentions in the Chinese context.

Combining the social cognition theory and TPB, this study first investigated how individual intentions to engage in broadly-defined academic entrepreneurial activities are promoted through TPB modelling. The results, relating to the divergence of different determinants shaping different academic entrepreneurial intentions through various paths in TPB modelling, will provide insight into university managers and policymakers to improve academic entrepreneurship engagement in the Chinese context.

This study examines the mechanisms and conditions that influence how transformational leadership affects project success through the lens of social information processing theory.

A dual-stage moderated mediation model was proposed wherein the effect of transformational leadership on project success is mediated by team building, and empowering climate moderates the direct and indirect effects at both the first and second stages. The model was tested based on 370 survey responses of project management practitioners from Pakistan's IT industry. The measurement model was analyzed using confirmatory factor analysis (CFA). Moderated mediation analyses were conducted using Hayes' PROCESS macro.

The findings suggest that team-building partially mediates the effect of transformational leadership on project success. Furthermore, the conditional indirect effect of transformational leadership on project success via team-building is strengthened at both the first and second stages at higher levels of empowerment climate.

It is recommended that project managers and project-intensive organizations should strive to cultivate an empowerment climate to fully realize the beneficial effects of transformational leadership behaviors in enhancing positive team outcomes and, consequently, overall project performance.

This study broadly contributes to the literature on the influence of project managers' leadership styles on project outcomes. Specifically, we elucidate the role of empowerment climate as an important boundary condition that enhances the beneficial effects of transformational leadership. Furthermore, we extend the application of social information processing theory to the context of projects.

Naturally, all the materials are not viscous (i.e. milk, mayonnaise, blood, vaccines, syrups, cosmetics, oil reservoirs, paints, etc.). Here present analysis focuses on the usage of non-Newtonian fluid rheological properties enhancing, damping tools, protection apparatus individuals and in various distinct mechanical procedures. Industrial applications of non-Newtonian liquids include minimum friction, reduction in oil-pipeline friction, scale-up, flow tracers and in several others. The peristaltic mechanism is used as a non-Newtonian material carrier here. This mechanism occurs because of continuous symmetrical and asymmetrical propulsion of smooth channel walls. Peristalsis is a very significant mechanism for carrying drugs and other materials during sensitive diseases treatments.

Keeping in mind the considered problem assumptions (Rabinowitsch fluid model, thermal Grashof number, Prandtl number, density Grashof number, wall properties, etc.), it is found that the modeled equations are coupled and nonlinear. Thus here, analytical results are quite challenging to acquire and very limited to extremely venerated circumstances unsettled to their nonlinearity. Hence various developments found in computing proficiencies, numerical procedures that provides accurate, stable and satisfying solutions for non-Newtonian material flows exclusively in complex dimensions play a significant role. Here BVP4C numerical technique is developed to evaluate the nonlinear coupled system of equations with appropriate boundary constraints.

Due to convectively heated surface fluid between the walls having a small temperature. Sherwood and Nusselt numbers both deduce for fixed radiation values and different Rabinowitsch fluid quantity. Skin friction is maximum in the case of Newtonian, while minimum in case of dilatant model and pseudoplastic models. The influence of numerous parameters associated with flow problems such as thermal Grashof number, density Grashof number, Hartman number, Brownian motion, thermophoresis motion factor and slip parameters are also explored in detail and plotted for concentration profile, temperature distribution and velocity. From this analysis, it is concluded that velocity escalates for larger

The work reported in this manuscript has not been investigated so far by any researcher.

The sustainable development of the energy–economy–environment (3E) needs to ensure the balanced interplay between the energy–economy and the environment. Likewise, creating such balance has become a critical policy issue among countries worldwide. However, in the past, studies have ignored to create a balanced interplay of the energy–economy and environment. Therefore, to address said research gap, this paper aims to develop a graph model for conflict resolution (GMCR)-based strategy for the sustainable development of the 3E to ensure better environmental quality.

To develop a strategic framework for the balanced interplay between the energy–economy and the environment, the study used the GMCR approach and designed a mechanism for the sustainable development of the 3E to ensure better environmental quality in the context of Pakistan.

The results from the GMCR indicate that sustainable development of the 3E to ensure better environmental quality is possible when government focuses on the sustainable growth of the economy through environmental policies and the use of renewable energy.

By solving the 3E conflict, this study provides policy insights for the government of Pakistan for the sustainable development of the energy economy and the environment to ensure better environmental quality in the country.

For the first time, this paper tried to put forward a way through which conflicting objectives can be achieved together for the sustainable development of the 3E to ensure better environmental quality.

The present study aims to examine the current digital information literacy (DIL) skills of female online shoppers in Lahore city of Pakistan. Data were gathered from a purposive sampling of women, aged between 20–50 years who were buying products online, not from the traditional retail stores. Out of 309 received questionnaires, 269 responses were useable and were utilized for data analysis. Descriptive and inferential statistics were used to deduce inferences.

Quantitative research approach was employed for this study, and a survey was conducted to collect the data from the study's respondents. For data analysis, descriptive and inferential statistics were used.

Results revealed that the digital information literacy skills of women were good to a moderate level. However, they were not confident in applying advanced searching options. In accordance with what was hypothesized in a directional hypothesis, DIL was found to be a strong predictor of online shopping behavior of women, consequently highlighting the importance of such competencies in modern life. Other findings illustrate that participating women rarely engaged in online shopping and felt hesitation in using credit/debit card for online transactions.

These observations highlight the important role of information professionals in creating digital literacy among different population groups, specifically women, by planning digital information instruction through courses, workshops and trainings. This could eventually be possible with the dynamic role of librarians or information professionals in the society.

The present study adopts the unique approach of measuring online shopping behavior of female shoppers in connection with their digital information literacy skills.