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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.

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.

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.

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.

Cesspits are the means for each house to dispose of wastewater in the Bani Kinanah District (BKD) of Jordan, which creates severe environmental complications. This research aimed to find a suitable site for a wastewater treatment plant (WWTP) in BKD.

Geographic Information System (GIS)-based multicriteria decision analysis (MCDA) was used for an optimal site selection for a sewage treatment plant. Several datasets were obtained to prepare the maps of the criteria influencing the choice of the most suitable site for the WWTP. The analytic hierarchy process was used to apply the weights for each factor.

Five classes of suitability were generated: 0.23% very high suitability, 8.49% high suitability, 47.12% moderate suitability, 37.67% low suitability and 6.49% very low suitability. According to Analytical Hierarchy Process (AHP) results, the elevations, slope and groundwater depth have high importance; where their weights 21%, 19% and 17%, respectively. The most suitable site for establishing a WWTP was found in the northern part of the study area, where it is characterized by relatively low elevations (−90 to −93 m), low slope (0–2.5 %), distance from groundwater level (47–82 m) and the space is sufficient for building the plant (25328 m², 8861 m² and 8586 m²).

This research is limited by the availability of data.

The research is invaluable for decision makers involved in urban planning.

Wastewater treatment plants are essential for communities with limited resources such as Jordan. It has also profound impacts on the surrounding environment.

From the present study, it can be concluded that GIS is essential in urban utility establishment, like urban domestic wastewater treatment site selection. Although the study area has adequate potential areas for establishing WWTP, further assessment of flood vulnerability, wastewater amount quantification, population growth and urban expansion must be seriously considered before implementation.

This study aims to determine the role of intellectual capital (IC) on financial performance (FP), the mediating effect of high-performance work practices (HPWPs) and the moderating role of big data analytics on the banking sector operating in Pakistan.

This study collected quantitative and cross-sectional data using structured questionnaire forms distributed to selected targeted respondents using a convenient sampling technique. The 518 useable questionnaires were analysed using the SmartPLS software through a structural equation modelling technique to test the proposed research hypotheses.

The study results revealed that IC has shown an impact on FP. The role of HPWP significantly mediates between IC and FP, while the moderating role of big data analytics remains insignificant.

This study highlights IC's role in enhancing FP in the Pakistani banking sector. It will bring a higher quality IC in the banking sector, and they will be better positioned to serve the community. Policymakers need to invest in IC and HPWP and utilise BDA, which will boost FP and uplift the quality of the banking sector.

This study extends the concept of IC and adds the theoretical role of HPWPs and big data analytics in the literature on IC, along with the contextual application. The study also develops a unique role of the integrated IC model theory with a relationship to the banking sector of Pakistan.

The purpose of this paper is to identify the importance of trade-offs between the United Nations Sustainable Development Goals (SDGs) and creating a holistic, integrated approach.

This study uses secondary data including official reports from three companies: Accor Hotels, Scandic Hotels and Atlantica Hotels. Third party references from research sources are included.

This study concludes that companies are adopting corporate social responsibility practices focussed on stakeholders’ needs. Additionally, the general trend in the case study hotel companies is towards similar sustainability approaches though less progress is reported in addressing the more complex issues relating to SDG 8 and SDG 10 because sustainability targets are more difficult to determine, implement and measure.

The three selected companies were chosen based on location criteria. Accor has a worldwide presence whereas the other two companies could be considered as multinational companies. Scandic is a Swedish company operating in Scandinavian countries whereas Atlantica is a Cyprus-based company operating in Greece and Egypt. The contrast among the selected companies displays different considerations regarding their commitment to SDGs.