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In this age of digitalization, organizations are generating large data from the organizations' manufacturing processes that are valuable for capturing a competitive edge. Chinese small and medium enterprises (SMEs) can bring organizations radical innovation by investing in innovation projects (i.e. big data use; BDU) using the SMEs' scarce resources. Thus, the authors' research aims to predict Chinese SMEs' radical innovation (RI) through BDU using the theoretical lenses of the resource-based view. Moreover, the authors' study also pursues to realize the undermining mediating process of business strategy alignment (BSA) and the buffering role of information sharing in BDU–RI linkage.

In total, 297 Chinese SMEs entrepreneurs and managers were recruited from the Yangtze River Economic Belt, China using a survey approach. In Mplus 7.4, the authors tested the proposed hypotheses.

The sample of 297 shows that BDU is directly and indirectly (via BSA) related to RI. Further, information sharing moderates the linkage between BDU and BSA and BSA and RI. The association between BSA and RI is only significant and stronger when information sharing is high.

This research is beneficial for SME entrepreneurs/managers to enhance the understanding of BDU, eliminate challenges of BSA via BDU and align business strategies to bring RI to Chinese SMEs.

SMEs always search for new ways to enhance SMEs' productivity using scarce resources. This is the first research that advances big data and innovation literature by predicting firm RI through BDU using a resource-based view. Moreover, this study is novel because the study investigates the mediation role of BSA and the moderating role of information sharing in the linkage between BDU and firm RI in Chinese SMEs.

Innovation is the basic input to organizational endurance; therefore, the study of processes that support innovation should be of interest to practitioners and researchers alike. Consequently, there is increasing attention for the supplementary research examination of the influencing elements of innovativeness.

The data were collected in 2018 using adapted questionnaires that were tested. The respondents were 446 employees of Pakistan Electric Power Company (PEPCO). Bivariate correlations and hierarchical regression were used for the data analysis.

The findings showed that the competing value framework (CVF) model of organizational culture may promote innovativeness that translates to the progress of PEPCO, which deserved barrier for everyone relying on the values made by the culture of the organization. The adhocracy culture is considered to be statistically suitable for the prediction of performance and enhancement of innovation in the organization. Based on the above findings, it may be deduced that innovation mediated the relationship between some particular types of organizational culture and performance.

The CVF model provides a supportive framework for the development of procedures that promote innovation in the organization. The focus of the CVF model highlighted employees' behavior and function of organizational culture, which can restrain or stimulate performance. This study reported and developed a basis for an empirical model based on the CVF model.

This paper found that the CVF model and innovation are mega sources of innovation at PEPCO. This work should be of interest in the area of innovation and performance improvement. There are very few empirical research studies on the relationship between organizational culture, innovation and performance, specifically in the context of developing countries. This is one of the very few studies conducted to empirically examine the influence of CVF model on performance through the mediating role of innovation in PEPCO.

The research paper is an effort to find out the behavior of Pakistani individuals toward usage of Takaful insurance. This paper aims to identify the factors, which influence investors’ intention toward the adoption of Takaful. Islamic finance is growing rapidly in the international market, especially in Islamic countries. Pakistan is an Islamic country, where the majority of the population is Muslim. Therefore, there is a great potential for Takaful exists in the country.

Both explanatory and descriptive research designs used for the research framework. The theory of planned behavior is the base theory and the model incorporates several factors such as relative advantage, compatibility, social influence, awareness and religiosity that may influence the adoption of Takaful. The primary data collected through the distribution of self-administered survey-based questionnaire, containing 23 items scaled at a five-point Likert scale. The non-probability snowball sampling and judgmental sampling techniques are used due to the scarce of Takaful users. The sample consists of 345 individuals (127 Takaful users and 218 non-users) living in the three main cities, namely, Karachi, Lahore and Islamabad. The data are further analyzed and interpreted with IBM SPSS 21. The results are evaluated using descriptive statistics, reliability, confirmatory factor analysis, correlation and binary logistic regression models.

The research findings reveal that factors such as relative advantage, compatibility, social influence, awareness and religiosity have a significant impact on the behavioral intention of Takaful amongst a depicted sample of Pakistani people. Similarly, Takaful has great potential in the Pakistani market, but due to lack of awareness, Takaful share is far behind than conventional insurance. It is further suggested that Takaful operators must devise some policies and plan to spread awareness about Takaful and come up with more innovative products.

The Takaful operators must devise plans to aware people about Islamic insurance. The study provides implication to Takaful management; Takaful users; and more importantly, the regularity authorities to operate and successfully conduct Takaful applications. Further, they should advance Takaful operations and produce more innovative products. The study focuses on some factors while there are plenty of others, which should be studied accordingly. For future researchers and students, there is a great potential of other techniques and measures, which can be further used for analysis of Takaful business.

This research is a first attempt to trace out the behavior of Pakistani people about Takaful, using the above discussed factors. The behavioral intention is studied using users and non-users combination, which is never done before in the current setting.

The purpose of this paper is to capture the status of implementation of Six Sigma in various manufacturing industries and also examine the success of the Six Sigma by using different performance indicators.

The methodology of critical review involves the selection and classification of 112 research articles on the implementation of Six Sigma in different manufacturing industries. The selected articles are categorized by the following: articles distribution based on the year of publication, publication database, various journals, contribution of authors, continent, scale of industry, implemented approaches, focused industry, tools and techniques used in phases of Six Sigma methodology, and performance indicators used in Six Sigma implementation. Then after, future scopes of research opportunities are derived based on significant findings.

The literature revealed that: Very few work was undertaken on the implementation of Six Sigma in various manufacturing industries like ceramic, paper, gems and jewelry, cement, furniture, stone, fertilizer, forging, paper and surface treatment industries. Most of the researchers have considered very few performance indicators to identify the improvement after Six Sigma implementation. But, there is no clue regarding overall improvement in different perspectives after the implementation of Six Sigma. The financial indicators, personnel indicators, process indicators and customer indicators are useful to measure the overall improvement after the implementation of Six Sigma in the manufacturing sector.

The study was carried out on the implementation of Six Sigma methodology in various manufacturing industries, and various performance indicators were identified while implementing the Six Sigma methodology. Case studies pertaining to service industries were not covered here.

Very little research has been carried out to measure the overall success of implementing Six Sigma methodology in manufacturing industries. This paper will provide value to students, researchers and practitioners of Six Sigma by providing insight into the implementation of Six Sigma in manufacturing industries.

The global spread of the COVID-19 pandemic resulted in the complete lockdown of almost every part of the world, including all educational institutions, resulting in the prompt implementation of online education to facilitate the students to carry on their learning. These conditions made the researchers study the experiences of online education among students and teachers. The influences of online teaching-learning during the COVID-19 pandemic undoubtedly offered numerous opportunities besides raising some challenges which impacted the overall psychology of students and teachers. So, this paper aims to conduct a systematic review of the research papers focussing on opportunities, challenges and psychological impacts raised due to the sudden shift to online education among students and teachers during the COVID-19 pandemic.

To conduct this systematic review, 19 articles published between July 2020 and May 2021 were considered and reported by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

It was found that online education influenced the interests and experiences of the students and teachers and has immensely impacted their overall psychology. So, for the effective implementation of online and blended education, psychological well-being of students and teachers should be taken care of with properly designed instructions, adequate infrastructure or resources and satisfactory technological skills.

In the present study, the students were not categorised according to their subjects or streams, i.e. science, commerce, humanities, medical, dental, postgraduate or undergraduate. All the students were categorised into two categories only: (1) college students and (2) school students. And also, teachers were not categorised and were presented as a whole, as school, college or university teachers.

The current research identified the abrupt implementation of online education during the COVID-19 pandemic, which raised various challenges and psychological impacts among students and teachers besides offering them many opportunities in times of crisis.

Students and teachers constitute the educational community of society. They should get ample opportunities to develop skills for online education; challenges faced during online education should be identified and tackled, and the issues concerning the psychological well-being during online education for both teachers and students should be addressed to achieve sustained development of online education–blended learning environments.

The paper is the original research work based on the systematic review and concludes with suggestions for the future of online and blended pedagogy while taking care of the psychological needs of students and teachers in online and blended learning environments.

This study aims to assesses the factors that affected the development of cloud-based accounting education (DCBAE) and students' academic performance at Oman Universities.

In this paper a questionnaire was used to collect data for a sample of students. Partial least squares (PLS) were used to assess the hypotheses and model.

Results indicate that human factors and cultural and social factors have a direct positive effect on the DCBAE and students' academic performance.

This study is carried out after five semesters since the beginning of the COVID-19 pandemic. Thus, it can help universities (accounting education in particular) in the Sultanate of Oman know the factors that affect the development of accounting education and adopt policies and strategies that depend on cloud computing in education operations, even after the COVID-19 pandemic.

The main contribution of this study is to evaluate the factors that affected the DCBAE and the academic performance of students in the Sultanate of Oman from March 15, 2020 to June 2022, a period that witnessed the application of cloud-based education, either in whole or in part using a questionnaire about the opinions of students.

This study offers insight on the impact of virtual team projects (VTPs) of varying types (global vs domestic teams, technology vs non-tech projects) on competency and anxiety outcomes during the COVID-19 pandemic.

Paired-sample t-tests and ANOVA tests were performed on student survey responses pre- and post-engagement of different VTPs.

The results demonstrated positive effects of VTPs on intercultural sensitivity (ISS), computer self-efficacy, perceived ease of use of online learning and COVID-19 anxiety. ISS (“interaction confidence”) improved more for students in the global vs. domestic teams and technology-related outcomes (CSE, PEU and computer anxiety) and ISS (“respect for cultural differences”) improved more for students that participated in tech projects, whereas COVID-19 anxiety lessened more for those that participated in non-tech projects.

The study expands understanding of the Technology Acceptance Model and provides insight into the ISS literature showing that VTPs could be a worthwhile pedagogical approach for improving student competencies and anxiety during times of academic disruption, but that project type can influence these changes.

Coronavirus disease 2019 (COVID-19) pandemic has led to unprecedented mental health repercussions in the lives of every individual including university students. Therefore, study on students’ psychological state and its associated factors during the pandemic are of importance. This study aims to discuss the aforementioned issue.

An online survey was done on a total of 207 university students of Pakistan to collect information on socio-demographic characteristics, concerns or fears amidst COVID-19 and mental distress. Validated tools; Perceived Stress Scale (PSS), Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire (PHQ-9)-Depression were used to assess stress, anxiety and depression, respectively.

Around 14% of the university students were experiencing severe stress and anxiety, while 8.2% had severe depression. The authors found that stress among university students was related to psychiatric illness or symptoms (OR = 5.1: 1.1, 22.9) and unpredictability due to the pandemic (OR = 3.7: 1.2, 11.2). The significant determinants of anxiety were psychiatric illness/symptoms (OR = 6.6: 3.4, 12.9), implementation of public health measures (OR = 3.7: 1.1, 11.6), employed mothers (OR = 2.4: 1.1, 5.0) and lack of support from university administration (OR = 2.2: 1.0, 5.0). While the factors associated with depression included psychiatric illness or symptoms (OR = 8.4: 3.3, 21.5), unpredictability due to pandemic (OR = 6.8: 2.2, 20.7), impaired social support system (OR = 3.7: 1.3, 10.4) and studying without a scholarship (OR = 2.1: 1.0, 4.4).

These findings call for an urgent need to develop appropriate interventions and educational programs that could address the psychological needs of students.

The study directs the role of university and faculty in dealing the mental health needs of the student in COVID-19 pandemic time.

Educational programs are important that could address the psychological needs of students in COVID-19 pandemic.

University students reported mental distress during COVID-19 pandemic which shows that younger people are at risk of COVID-19 repercussions. Moreover, several stressors (i.e. impaired social support system and lack of support from universities) were revealed that could be mitigated by implementing appropriate strategies.

This paper aims to identify and discuss factors affecting students’ performance in web-based learning (WBL) during the COVID-19 pandemic.

This study uses a quantitative method to analyze data collected using an online structured questionnaire. Responses were gathered from undergraduate students (n = 270) studying engineering education at a university in Indonesia. A measurement analysis is used to validate the instruments, and structural equation modeling is used to examine the associations among constructs.

Attitude, anxiety and motivation affected students’ performance in WBL. Motivation played an essential role in influencing WBL. The results also showed equal opportunities between men and women in WBL.

This research may provide a foundation for future research designing WBL in higher education. This study provides valuable insights in policy formulation and an effective web-based e-learning design by considering students’ personal characteristics potentially affecting WBL performance.

This study identifies factors influencing students’ performance in WBL. Furthermore, it added students’ genders to explore the moderating effect on the model.

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management.

To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure.

The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person.

This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies.

To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.