This page has only limited features, please log in for full access.
The Corona Virus Disease 2019 (COVID-19) has been a tough test on companies in the global food sector supply chain, exacerbating the realities and deficiencies it presents in developing economies. This situation has been reflected in the firm’s performance (F.P.) due to the lack of business conditions to respond to the current pandemic. However, in some companies, the adverse effects of COVID-19 have been counteracted due to endowment and technological capabilities. Thus, this study examined the role of technological innovation (T.I.) and business data analytics (B.D.A.) in the F.P. of foods in Ecuador during COVID-19. A questionnaire collected the information from the food firms. Then, Covariance-Based Structural Equation Modeling processed the collected information. We found that (B.D.A.) mechanisms and different levels of T.I. within the developing market significantly shape the F.P. The results showed that the B.D.A. enables circular economy (C.E.) practices and the improvement of product delivery services, which constitutes an improvement of the F.P. The COVID-19 outbreak did not significantly affect T.I., unlike what happened with B.D.A. This study concluded that firms with the most extraordinary technological production processes have been the least affected during COVID-19. This study suggested that policy measures should boost food firms’ technological endowment to improve their resilience in uncertainty and risk scenarios.
Syed Khan; Pablo Ponce; Muhammad Tanveer; Nathalie Aguirre-Padilla; Haider Mahmood; Syed Shah. Technological Innovation and Circular Economy Practices: Business Strategies to Mitigate the Effects of COVID-19. Sustainability 2021, 13, 8479 .
AMA StyleSyed Khan, Pablo Ponce, Muhammad Tanveer, Nathalie Aguirre-Padilla, Haider Mahmood, Syed Shah. Technological Innovation and Circular Economy Practices: Business Strategies to Mitigate the Effects of COVID-19. Sustainability. 2021; 13 (15):8479.
Chicago/Turabian StyleSyed Khan; Pablo Ponce; Muhammad Tanveer; Nathalie Aguirre-Padilla; Haider Mahmood; Syed Shah. 2021. "Technological Innovation and Circular Economy Practices: Business Strategies to Mitigate the Effects of COVID-19." Sustainability 13, no. 15: 8479.
The Environmental Kuznets Curve (EKC) association between income and pollution emissions proxies has been extensively tested in the environmental literature. However, testing of the energy-EKC is scanty. This present research examined the energy–EKC in the cubic relationship of economic growth and different renewable and nonrenewable energy proxies in Egypt from 1965–2019. In the long run, we corroborate the N-shaped relationships in the case of primary energy, oil, and coal consumption models, and confirm the long run energy–EKC association in these energy proxies. Moreover, we find turning points of the N-curve for these energy sources in 1998, 2000, and 1979–2005, in primary energy, oil, and coal consumption models, respectively. Hence, economic growth is responsible for increasing nonrenewable energy consumption and has environmental consequences in Egypt. In the short run, we find N-shaped relationships in the case of primary energy, oil, and coal consumption. Further, we find an inverted U-shaped relationship in the case of natural gas consumption. In addition, we corroborate an inverted N-shaped relationship in the case of hydroelectricity consumption, a renewable energy source. Hence, we confirm the short-run energy–EKC relationship in all investigated renewable and nonrenewable energy proxies.
Haider Mahmood; Tarek Alkhateeb; Muhammad Tanveer; Doaa Mahmoud. Testing the Energy-Environmental Kuznets Curve Hypothesis in the Renewable and Nonrenewable Energy Consumption Models in Egypt. International Journal of Environmental Research and Public Health 2021, 18, 7334 .
AMA StyleHaider Mahmood, Tarek Alkhateeb, Muhammad Tanveer, Doaa Mahmoud. Testing the Energy-Environmental Kuznets Curve Hypothesis in the Renewable and Nonrenewable Energy Consumption Models in Egypt. International Journal of Environmental Research and Public Health. 2021; 18 (14):7334.
Chicago/Turabian StyleHaider Mahmood; Tarek Alkhateeb; Muhammad Tanveer; Doaa Mahmoud. 2021. "Testing the Energy-Environmental Kuznets Curve Hypothesis in the Renewable and Nonrenewable Energy Consumption Models in Egypt." International Journal of Environmental Research and Public Health 18, no. 14: 7334.
This research is focused on studying the impact of ethical marketing practices on value-adding product sustainability and customer brand relationship sustainability. It further investigates the consequent effects of value-adding product sustainability and customer brand relationship sustainability on brand loyalty. Data for this study were collected from a sample of 1500 customers having multiple interactions with goods and brands of retail organizations in Pakistan. We employed structural equation modeling (SEM) using SPSS 24.0 to analyze our data. The findings of this paper provide empirical support to the proposed relationships. More specifically, ethical marketing practices were found to have a significant impact on value-adding product sustainability and customer-value brand relationship sustainability. The findings also support a positive impacts of value-adding product sustainability and customer-value brand relationship sustainability on brand loyalty. This study provides some valuable implications for the theory and practice in that it identifies and empirically validates key ethical marketing factors affecting loyalty in business-to-consumer interactions. Besides, this study advocates implications for firms regarding some key aspects of ethical marketing practices that should be strengthened to achieve sustained brand loyalty.
Muhammad Tanveer; Abdul-Rahim Ahmad; Haider Mahmood; Ikram Haq. Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach. Sustainability 2021, 13, 6839 .
AMA StyleMuhammad Tanveer, Abdul-Rahim Ahmad, Haider Mahmood, Ikram Haq. Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach. Sustainability. 2021; 13 (12):6839.
Chicago/Turabian StyleMuhammad Tanveer; Abdul-Rahim Ahmad; Haider Mahmood; Ikram Haq. 2021. "Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach." Sustainability 13, no. 12: 6839.
Magnetic field biostimulation plays a significant role in enhancing the germination of seeds and increasing the metabolic rate. The low magnetic field effect for long exposure time and its effect on antioxidant profiling have not been studied. Therefore, in the recent findings, the static magnetic field’s impact on sunflower seeds subjected to the magnetic field at varying intensity (millitesla) for different exposure times was examined. The effectiveness of magnetic biostimulation on presown sunflower seeds, growth parameters of seedlings (biomass, root and shoot length, fresh and dry weight of roots, shoots, leaf, and height of plants), and antioxidant activities were also studied. It has been revealed that magnetic treatment at 50 mT/45 min greatly influenced the growth parameters, including mean germination growth (100 ± 0.02) and final emergence rate. Concerning the antioxidant parameters, seed variety FH620 at 500 µg/µL concentration showed significant results compared to other varieties. FTIR was employed to determine the conformational changes and functional groups of organic compounds from sunflower seedlings. Tocopherol analysis by HPLC showed that magnetic treatment at 50 mT/45 min had a higher concentration of vitamin E compared to the control group. These modifications indicated that magnetic field induction enhanced seeds’ inner energy that led to seedlings’ growth and development enhancement. Besides, magnetic field pretreatment has been shown to have a beneficial influence on sunflower seeds and their bioactive compounds. Future studies should be focused on growth characteristics at the field level and yield attributes.
Shazia Anwer Bukhari; Muhammad Tanveer; Ghulam Mustafa; Nighat Zia-Ud-Den. Magnetic Field Stimulation Effect on Germination and Antioxidant Activities of Presown Hybrid Seeds of Sunflower and Its Seedlings. Journal of Food Quality 2021, 2021, 1 -9.
AMA StyleShazia Anwer Bukhari, Muhammad Tanveer, Ghulam Mustafa, Nighat Zia-Ud-Den. Magnetic Field Stimulation Effect on Germination and Antioxidant Activities of Presown Hybrid Seeds of Sunflower and Its Seedlings. Journal of Food Quality. 2021; 2021 ():1-9.
Chicago/Turabian StyleShazia Anwer Bukhari; Muhammad Tanveer; Ghulam Mustafa; Nighat Zia-Ud-Den. 2021. "Magnetic Field Stimulation Effect on Germination and Antioxidant Activities of Presown Hybrid Seeds of Sunflower and Its Seedlings." Journal of Food Quality 2021, no. : 1-9.
Big data analytics and artificial intelligence are revolutionizing the global healthcare industry. As the world accumulates unfathomable volumes of data and health technology grows more and more critical to the advancement of medicine, policymakers and regulators are faced with tough challenges around data security and data privacy. This paper reviews existing regulatory frameworks for artificial intelligence-based medical devices and health data privacy in Bangladesh. The study is legal research employing a comparative approach where data is collected from primary and secondary legal materials and filtered based on policies relating to medical data privacy and medical device regulation of Bangladesh. Such policies are then compared with benchmark policies of the European Union and the USA to test the adequacy of the present regulatory framework of Bangladesh and identify the gaps in the current regulation. The study highlights the gaps in policy and regulation in Bangladesh that are hampering the widespread adoption of big data analytics and artificial intelligence in the industry. Despite the vast benefits that big data would bring to Bangladesh's healthcare industry, it lacks the proper data governance and legal framework necessary to gain consumer trust and move forward. Policymakers and regulators must work collaboratively with clinicians, patients and industry to adopt a new regulatory framework that harnesses the potential of big data but ensures adequate privacy and security of personal data. The article opens valuable insight to regulators, academicians, researchers and legal practitioners regarding the present regulatory loopholes in Bangladesh involving exploiting the promise of big data in the medical field. The study concludes with the recommendation for future research into the area of privacy as it relates to artificial intelligence-based medical devices should consult the patients' perspective by employing quantitative analysis research methodology.
Shafiqul Hassan; Mohsin Dhali; Fazluz Zaman; Muhammad Tanveer. Big data and predictive analytics in healthcare in Bangladesh: regulatory challenges. Heliyon 2021, 7, e07179 .
AMA StyleShafiqul Hassan, Mohsin Dhali, Fazluz Zaman, Muhammad Tanveer. Big data and predictive analytics in healthcare in Bangladesh: regulatory challenges. Heliyon. 2021; 7 (6):e07179.
Chicago/Turabian StyleShafiqul Hassan; Mohsin Dhali; Fazluz Zaman; Muhammad Tanveer. 2021. "Big data and predictive analytics in healthcare in Bangladesh: regulatory challenges." Heliyon 7, no. 6: e07179.
The Middle East respiratory syndrome coronavirus (MERS-CoV) is the major leading cause of respiratory infections listed as blueprint of diseases by the World Health Organization. It needs immediate research in the developing countries including Saudi Arabia, South Korea, and China. Still no vaccine has been developed against MERS-CoV; therefore, an effective strategy is required to overcome the devastating outcomes of MERS. Computer-aided drug design is the effective method to find out potency of natural phytochemicals as inhibitors of MERS-CoV. In the current study, the molecular docking approach was employed to target receptor binding of CoV. A total of 150 phytochemicals were docked as ligands in this study and found that some of the phytochemicals successfully inhibited the catalytic triad of MERS-CoV. The docking results brought novel scaffolds which showed strong ligand interactions with Arg178, Arg339, His311, His230, Lys146, and Arg139 residues of the viral domains. From the top ten ligands found in this study (i.e., rosavin, betaxanthin, quercetin, citromitin, pluviatilol, digitogenin, ichangin, methyl deacetylnomilinate, kobusinol A, and cyclocalamin) based on best S -score values, two phytochemicals (i.e., pluviatilol and kobusinol A) exhibited all drug-likeness properties following the pharmacokinetic parameters which are important for bioavailability of drug-like compounds, and hence, they can serve as potential drug candidates to stop the viral load. The study revealed that these phytochemicals would serve as strong potential inhibitors and a starting point for the development of vaccines and proteases against MERS-CoV. Further, in vivo studies are needed to confirm the efficacy of these potential drug candidates.
Hafiza Salaha Mahrosh; Muhammad Tanveer; Rawaba Arif; Ghulam Mustafa. Computer-Aided Prediction and Identification of Phytochemicals as Potential Drug Candidates against MERS-CoV. BioMed Research International 2021, 2021, 1 -7.
AMA StyleHafiza Salaha Mahrosh, Muhammad Tanveer, Rawaba Arif, Ghulam Mustafa. Computer-Aided Prediction and Identification of Phytochemicals as Potential Drug Candidates against MERS-CoV. BioMed Research International. 2021; 2021 ():1-7.
Chicago/Turabian StyleHafiza Salaha Mahrosh; Muhammad Tanveer; Rawaba Arif; Ghulam Mustafa. 2021. "Computer-Aided Prediction and Identification of Phytochemicals as Potential Drug Candidates against MERS-CoV." BioMed Research International 2021, no. : 1-7.
Artificial intelligence (AI) has grown, and technologies have intensified across all fields of life, particularly in education. AI has been applied to resources to improve skills giving teachers the time and freedom to provide understanding and adaptability and drive performance. This paper, written for policymakers in the field of education, highlights the impact of AI and advancements in academic policy. These academic policymakers generate ideas and strategies for applying AI across various disciplines. There is also discussion around AI implementation in education throughout developing nations for moving towards and ensuring affordable, high-quality education for every individual. Education for sustainable development (ESD) aims to promote the development of knowledge, skills, understanding, values and actions necessary to build a sustainable world, to protect and preserve the environment, and promote social equity and economic sustainability. This paper analyses how AI can be used to update learning probabilities by providing examples of how it can be integrated with existing educational systems, using data to improve educational capital and quality in developing countries. It goes on to discuss whether policymakers and institutions can reinvent and rework educational programs to polish graduates’ skills for the growing presence of AI across all disciplines. There are four main parts to this work: (1) different dimensions regarding the complexities and potential implications, (2) the pros and cons of educational sustainability policy related to AI, (3) carving out AI and its outstanding execution, and finally (4) the linkage of AI with higher education within the context of educational expansions. In conclusion, the paper focuses on AI’s applications, benefits and sustainable development education challenges.
Muhammad Tanveer; Shafiqul Hassan; Amiya Bhaumik. Academic Policy Regarding Sustainability and Artificial Intelligence (AI). Sustainability 2020, 12, 9435 .
AMA StyleMuhammad Tanveer, Shafiqul Hassan, Amiya Bhaumik. Academic Policy Regarding Sustainability and Artificial Intelligence (AI). Sustainability. 2020; 12 (22):9435.
Chicago/Turabian StyleMuhammad Tanveer; Shafiqul Hassan; Amiya Bhaumik. 2020. "Academic Policy Regarding Sustainability and Artificial Intelligence (AI)." Sustainability 12, no. 22: 9435.