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Millennials, a cohort of young consumers, are the primary group of shoppers via e-commerce. This study aims to identify Chinese individual cultural values in millennials and examine the role of perceived shopping (hedonic and utilitarian) values in creating e-loyalty.

Data were collected from 296 Chinese millennials who use online shopping websites and apps. Confirmatory factor analysis was used to examine the validity and reliability of the methodology. Structural equation modeling was employed to test the proposed hypotheses.

All hypotheses were supported except one: the respondents rejected the impact of the face value on utilitarianism. The findings confirmed that Chinese individual cultural characteristics (face and Yuan) impact perceived shopping values (hedonic and utilitarian). Furthermore, these shopping values significantly influence e-loyalty.

The study's findings suggest some implications that academicians and market practitioners should consider. Additional implications for business managers focus on cultural characteristics, strong local teams, market-based approaches and long-term strategies.

The present work highlights the online shopping behavior of Chinese millennials by exploring e-loyalty, considering its two dimensions.

This study is undertaken to examine the role of information and communication technology (ICT), e-service quality and e-information quality towards brand image of universities by concentrating on students’ e-learning, e-word of mouth and satisfaction.

The target population was the students of public and private universities in Pakistan. Data collected using an e-questionnaire by 408 students were subjected to PLS-SEM for analysis.

Findings revealed that ICT, e-service quality and e-information quality are positively contributed toward students' e-learning which ultimately leads to create positive e-word of mouth and students' satisfaction. Meanwhile, results also identified that e-word of mouth and students' satisfaction lead to generate a positive brand image of universities.

This study has unique implications for universities to develop an e-learning platform to facilitate their students in this situation of COVID-19. It provides guidelines for educational institutions to implement the learning management system effectively with a view to facilitate the students with education.

This study has novel contribution in literature in the domain of digital learning. It is unique in a way to integrate the usage of technology with students' e-learning and satisfaction that ultimately create brand image of universities.

With ambidextrous innovation (AI) gaining paramount importance in the manufacturing sectors of emerging markets, this research aim to explore how leadership and management support (LMS) amplify this type of innovation by leveraging knowledge sources (KS). The study further probes the knowledge management capability (KMC) as moderating effect between KS and AI.

Using the convenient random sampling technique of a sample of 340 professionals within Pakistan’s manufacturing realm, data was collated via a structured questionnaire. The subsequent analysis harnessed the power of the variance-based partial least squares structural equation modelling approach.

This research underscores the pivotal role of LMS in elevating both facets of AI i.e. exploitative innovation (ERI) and exploratory innovation (ERT). KS emerge as a vital intermediary factor that bridges LMS with both types of innovation. Notably, the potency of KS in driving AI is significantly boosted by an organization’s KMC.

This study fills existing gaps in contemporary research by offering a nuanced perspective on how LMS enrich an organization’s dual innovation spectrum via KS. It sheds light on the symbiotic interplay of leadership, knowledge flows and innovation in Pakistan’s burgeoning manufacturing sector.

Passion plays a vital role in entrepreneurship, and examining the role of training in passion development is a recent call. This study aims to examine the impact of entrepreneurial training on occupational commitment and career satisfaction of business owners based on goal content theory.

In doing so the role of harmonious passion is tested as a mediating mechanism. A three-wave time-lagged data were collected from 351 business owners operating in Punjab, Pakistan and were analyzed by using SmartPLS.

The findings suggested that entrepreneurial training had a positive impact on building entrepreneurial passion, and as a result, they were found to be more committed and satisfied with their entrepreneurial career. The research has theoretical and practical implications for the role of training in the development of entrepreneurial career outcomes.

Despite a growing interest in entrepreneurial passion, only few studies have explored the entrepreneurial training on occupational commitment and career satisfaction of business owners in context of Pakistan.

Given innovation's significance, this research examines the link between empowered leadership and frugal innovation. The research also explores how collaborative cultures and organizational commitment mediate empowered leadership's effect on frugal innovation.

Quantitative method is used with the approach of hierarchical regression to test the hypotheses with data obtained from Pakistani small- and medium-sized enterprises (SMEs) through the questionnaire from 288 participants.

The results of this study show that empowered leadership has a considerable impact on the firm's capacity for frugal innovation. Additionally, this study shows that organizational commitment and collaborative culture significantly moderate the association between empowering leadership and frugal innovation.

Future studies should examine mediating factors, including employment experience, education and perceived organizational support, and moderating variables like employee psychological empowerment and leadership styles.

This research advises SMEs in developing nations to utilize frugal innovation since they cannot afford to spend extensively on technologies that add creativity and innovation to goods and services.

This study advances how leadership both directly and indirectly helps organizations strengthen their capacity for frugal innovation through the mediating roles of collaborative culture and organizational commitment.

Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.

This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.

The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.

The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

The purpose of this paper is to solve the problem of tuning of EKF parameters (process and measurement noise co-variance matrices) designed for attitude estimation using Global Positioning System (GPS) aided inertial sensors by employing a Human Opinion Dynamics (HOD)-based optimization technique and modifying the technique using maximum likelihood estimators and study its performance as compared to Particle Swarm Optimization (PSO) and manual tuning.

A model for the determination of attitude of flight vehicles using inertial sensors and GPS measurement is designed and experiments are carried out to collect raw sensor and reference data. An HOD-based model is utilized to estimate the optimized process and measurement noise co-variance matrix. Added to it, few modifications are proposed in the HOD model by utilizing maximum likelihood estimator and finally the results obtained by the proposed schemes analysed.

Analysis of the results shows that utilization of evolutionary algorithms for tuning is a significant improvement over manual tuning and both HOD and PSO-based methods are able to achieve the same level of accuracy. However, the HOD methods show better convergence and is easier to implement in terms of tuning parameters. Also, utilization of maximum likelihood estimator shows better search during initial iterations which increases the robustness of the algorithm.

The paper is unique in its sense that it utilizes a HOD-based model to solve tuning problem of EKF for attitude estimation.

This chapter aims to provide a review of women's empowerment indicator in Arab countries. It estimates the determinants of women's economic empowerment in Arab countries to conclude some insights related to the effect of access to finance on empowering women. Moreover, the chapter aims to assess MFIs performance in supporting women's empowerment, based on actual data during the period 2008–2016 for selected Arab countries. Results show that women access to finance indicator is not sufficient to give clear evaluation for the role of MFIs in Arab Countries in empowering women. This issue requires many efforts from various parties from micro to macro players in the economy. In addition, the analysis of percentage of female borrowers and their share of gross loan portfolio concludes that performance in terms of empowering women through MFIs seems to be effective for some Arab countries while poor for others.

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 aiming to develop both exploitative and explorative forms of innovation must ensure that adequate leadership and management support (LMS) is available. In addition, they should build and develop relevant internal and external knowledge sources (KS) and strengthen the firm’s knowledge management capabilities (KMC).

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.