Inverge Journal of Social Sciences
Not a member yet
174 research outputs found
Sort by
Difficulties in setting up a startups in Bangladesh: Business Challenges in Bangladesh
No full textThe most recent global innovation index showed a rank that shocked the startup industry and the country as a whole, and the news quickly spread on social media. "Bangladesh, the least innovative country," the headlines read. Although these figures only apply to Asian countries, they piqued everyone\u27s interest, and the bad publicity about our country was disheartening. It piqued the interest of the government\u27s ICT section, as well as all organizations that work with startups. They couldn\u27t figure out why such a huge assertion was made. Having said that, every individual can see that Bangladesh has not seen any unique business ideas in any sector in recent years. Nothing novel has occurred. The significance of startups and businesses to the economy cannot be overstated. With one of the world\u27s fastest growing economies, it is critical to maintain development so that it does not become stable and linear. It must also be ensured that the line is not sloping lower. This study seeks to uncover the causes of a lack of innovation as well as the challenges that businesses encounter that contribute to their failure.
REFERENCES
Abadeen, S. J. (2021). Problems and Prospects of Startups in Bangladesh.
Asif, M., Pasha, M. A., Shafiq, S., & Craine, I. (2022). Economic Impacts of Post COVID-19. Inverge Jounal of Social Sciences, 1(1), 56-65.
Aurangzeb, Alizai, S.H., Asif, M., & Rind, Z. K. (2021). Relevance of Motivational Theories and Firm Health, International Journal of Management (IJM), 12(3), 2021, pp. 1130-1137. http://iaeme.com/Home/issue/IJM?Volume=12&Issue=3
Baker, M., & Wurgler, J. (2013). Do investors value smooth performance?. Journal of Finance, 68(5), 1787-1823.
Bari, M., Obayed, S.& Tahmida, Q. (2019). Opportunities and Shortcomings of Developing and Implementing Academic Entrepreneurial Activities in Bangladesh. Academic Entrepreneurial Activities in Bangladesh.
Bocken, N. M. P., Short, S. W., Rana, P., & Evans, S. (2014). A literature and practice review to develop sustainable business model archetypes. Journal of Cleaner Production, 65, 42-56.
Brush, C. G., & Vanderwerf, P. A. (2014). A gendered perspective on entrepreneurship: The role of resources and motivation. In M. Bruni, D. Gherardi, & B. Poggio (Eds.), Gender and Entrepreneurship: An Ethnographic Approach (pp. 15-33). Routledge.
Chandler, G. N., & Hanks, S. H. (1994). Market attractiveness, resource-based capabilities, venture strategies, and venture performance. Journal of Business Venturing, 9(4), 331-349.
Chen, G., & Rasmussen, S. (2014). bkash bangladesh: A fast start for mobile financial services.
Choudhury, A. H., & Mandal, S. (2021). The role of familial, social, educational and business environmental factors on entrepreneurial intention among university students in Bangladesh. Materials Today: Proceedings.
Chowdhury, F. (2017). A Study of Entrepreneurship Development in Bangladesh: Pros and Cons. Journal of Asian Scientific Research, 7(1). 1-11.
Colton, D., & Sherony, M. (2005). The importance of mentoring for new entrepreneurs. Journal of Developmental Entrepreneurship, 10(2), 103-118.
Haque, M. A., & Rahman, M. S. (2019). An analysis of the challenges of startups in Bangladesh. Journal of Entrepreneurship and Innovation in Emerging Economies, 5(2), 279-296.
Hasan, M. R., & Ahmad, M. S. (2018). Exploring the prerequisites of institutionalizing crowdfunding process in Bangladesh as an alternative financing option for the startups. Global Journal of Management and Business Research, 18(C1), 17-31.
Islam, M. T., & Khan, M. T. A. (2020). Inertia to the adoption of crowdfunding in Bangladesh: A study on start-up entrepreneurs. Cogent Business & Management, 7(1), 1811597.
Jiang, R., & Yang, Y. (2019). The effect of business model innovation on the performance of sustainable development: Empirical evidence from China. Journal of Cleaner Production, 209, 704-713
Kerr, S., & Robinson, E. (2010). When the student is ready: Managing the challenges of a mentoring program. Journal of Management Education, 34(2), 204-226.
Lüdeke-Freund, F., & Dembek, K. (2017). Sustainable business model development: A review of the literature and the development of a conceptual framework. Journal of Cleaner Production, 168, 1148-1162.
Mukta, M. A., & Islam, M. A. (2020). Start-up ecosystem in Bangladesh: An analysis of barriers and opportunities. Journal of Entrepreneurship and Innovation in Emerging Economies, 6(2), 278-303.
Mushtaque, T., Tunio, M. N., ur Rehman, Z., & Asif, M. (2021). INFLUENCE OF ADMINISTRATIVE EXPERTISE OF HUMAN RESOURCE PRACTITIONERS ON THE JOB PERFORMANCE: MEDIATING ROLE OF ACHIEVEMENT MOTIVATION. International Journal of Management (IJM), 12(4).
Patel, P. C., Favorskaya, M. N., & Perminov, V. Y. (2015). Startup technology companies: Key strategies for success. International Journal of Management and Economics, 46(1), 95-112.
Purnell, L., & Freeman, R. E. (2012). Sustainability, value, and scalable business models. Journal of Business Ethics, 117(2), 365-377.
Stubbs, W., & Cocklin, C. (2008). Conceptualizing a “sustainability business model”. Organization & Environment, 21(2), 103-127.
Uddin, M. R., & Bose, T. K. (2012). Determinants of entrepreneurial intention of business students in Bangladesh. International Journal of Business and Management, 7(24), 128.
Vallabh, P., & Azadegan, A. (2018). Systematic review of sustainable business models and their performance in developing economies. Journal of Cleaner Production, 192, 411-429.
World Bank. (2021). Doing Business 2021: Comparing Business Regulation in 190 Economies. Washington, DC: World Bank Group.
Zahra, S. A., Newey, L. R., & Li, Y. (2018). On the frontiers: The implications of social entrepreneurship for international entrepreneurship research. Journal of International Entrepreneurship, 16(2), 135-149
Role of Transformational Leadership in Health Care
Full text linkHealth care industry is in revolutionary state in this era, which mainly focuses on eminence and transformational alterations after COVID-19 pandemic worldwide. Effective communication and proper management of health care officials plays a vital role in health care industry. Inclusion of technological advancement, supportive, and helpful devices prevails bliss among the workers of health care industry. Most of the workers in this industry expects from managers to perform in inspiring and effective manner especially in pandemic or epidemic situations. In this manner, the officials of industry directly effects by their managers. Employees are interested from their managers who can lead in a high-quality and in an inspiring manner. Nurses who\u27re content material of their positions correlate to a discount in group of workers turnover and enhance retention. When the nursing group of workers are glad with their employment, their behaviour affects the personal pleasure and this pleasure rises. Health care groups can see this trickle-down impact via will increase in affected person pleasure ratings over time. The promotion of powerful communication and high-quality attitudes complements a wholesome surroundings for all personnel and group of workers. Health care groups have to examine person nurse managers on devices to sell transformational management qualities; this could immediately bring about group of workers pleasure, employees’ retention, and increases employees’ engagement.
REFERENCES
Al-Mailam, F. F. (2005). The effect of nursing care on overall patient satisfaction and its predictive value on return-to-provider behavior: a survey study. Quality Management in Healthcare, 14(2), 116-120.
Asif, M. (2021a). Contingent Effect of Conflict Management towards Psychological Capital and Employees’ Engagement in Financial Sector of Islamabad. Preston University, Kohat, Islamabad Campus.,
Asif, M. (2021b). Contingent Effect of Conflict Management towards Psychological Capital and Employees’ Engagement in Financial Sector of Islamabad. (PhD), Preston University, Kohat, Islamabad Campus.,
Asif, M., Khan, A., & Pasha, M. A. (2019). Psychological Capital of Employees’ Engagement: Moderating Impact of Conflict Management in the Financial Sector of Pakistan. Global Social Sciences Review, IV(III), 160-172.
Aurangzeb, Alizai, S. H., Asif, M., & Rind, Z. K. (2021). RELEVANCE OF MOTIVATIONAL THEORIES AND FIRM HEALTH. International Journal of Management, 13(3), 1130-1137.
Aurangzeb, & Asif, M. (2021). Role of Leadership in Digital Transformation: A Case of Pakistani SMEs. Paper presented at the Fourth International Conference on Emerging Trends in Engineering, Management and Sciences (ICETEMS-2021) October 13-14, 2021.
Aurangzeb, Asif, M., & Amin, M. K. (2021). RESOURCES MANAGEMENT AND SME\u27S PERFORMANCE. Humanities & Social Sciences Reviews, 9(3), 679-689. doi:10.18510/hssr.2021.9367
Bethune, G., Sherrod, D., & Youngblood, L. J. N. M. (2005). 101 tips to retain a happy, healthy staff. 36(4), 24-29.
Bujak, J. (2005). Health care leaders as agents of change. Physician Executive, 31(3), 38.
Burns, J., Looney, A., Casey, N., & O’Donnell, M.-L. (1978). Leader. In: New York, NY: Harper & Row.
Burris, E., Detert, J., & Romney, A. (2013). Speaking up vs. being heard: The disagreement around and outcomes of employee voice. Organization Science, 24(1), 22-38.
Kleinman, C. (2004). Leadership: A key strategy in staff nurse retention. The Journal of Continuing Education in Nursing, 35(3), 128-132.
McConnell, C. R. (2016). Umiker\u27s management skills for the new health care supervisor: Jones & Bartlett Learning.
Mrayyan, M. (2004). Nurses’ autonomy: influence of nurse managers’ actions. Journal of advanced nursing, 45(3), 326-336.
Mugira, A. J. A. J. M. H. (2022). Leadership Perspective Employee Satisfaction Analysis. 2(3), 127-135.
Pearman, R. (1998). Hard wired leadership: unleashing the power of personality to become a new millennium leader Palo Alto, CA: Davies. CA: Davies. Black Publishing. Petrides, KV, Furnham, A., & Martin, GN (2004, Apr). Estimates of emotional and psychometric intelligence: Evidence for gender-based stereotypes. The Journal of Social Psychology,, 144(2), 149-162.
Robbins, B., & Davidhizar, R. (2020). Transformational leadership in health care today. The Health Care Manager, 39(3), 117-121.
Runy, L. A. J. H. H. N. (2003). Staffing effectiveness. A toolkit for JCAHO\u27s new standards. 77(3), 57-63, 52.
Thyer, G. (2003). Dare to be different: transformational leadership may hold the key to reducing the nursing shortage. Journal of Nursing Management, 11(2), 73-79.
Trofino, J. (1995). Transformational leadership in health care. Nursing Management, 26(8), 42.
Wei, H., & Horton-Deutsch, S. (2022). Visionary Leadership In Healthcare: Sigma Theta Tau.
Wieck, K. L. (2005). Nurse manager survival in an age of new healthcare priorities. The Prairie Rose, 74(3), 12-15.
Wilson, A. (2005). Impact of management development on nurse retention. Nursing administration quarterly, 29(2), 137-145
The Role of AI and Machine Learning in Fortifying Cybersecurity Systems in the US Healthcare Industry
Full text linkThe digital transformation of healthcare has brought about unprecedented advancements, but it has also introduced significant cybersecurity risks. Cyberattacks targeting sensitive patient data, employee information, and critical operational systems are on the rise, demanding innovative and robust security measures.
Enter the powerful duo of Artificial Intelligence (AI) and Machine Learning (ML). These cutting-edge technologies offer a powerful arsenal against these cyber threats. AI algorithms can analyse massive datasets from various sources, such as network traffic, user behaviour, and medical device logs, to identify anomalies and detect malicious activity in real-time. This proactive approach allows security teams to swiftly respond to threats, minimizing the impact of cyberattacks and protecting patient safety.
Furthermore, AI can leverage threat intelligence from diverse sources, including cybersecurity feeds, social media, and dark web forums, to proactively identify and mitigate emerging threats. This proactive approach empowers healthcare organizations to stay ahead of the curve, anticipating and neutralizing cyberattacks before they can cause significant damage. However, challenges remain. Implementing and maintaining AI/ML-based security solutions requires significant investment, both in terms of infrastructure and skilled personnel. Concerns surrounding data privacy and the potential for algorithmic bias also need careful consideration.
Despite these challenges, the potential benefits of AI and ML in healthcare cybersecurity are undeniable. By embracing these technologies, healthcare organizations can enhance patient safety, improve operational efficiency, and build a more secure and resilient future in the face of evolving cyber threats.
References
Aarav, M., & Layla, R. (2019). Cybersecurity in the cloud era: Integrating AI, firewalls, and engineering for robust protection. International Journal of Trend in Scientific Research and Development, 3(4), 1892-1899.
Abie, H. (2019, May). Cognitive cybersecurity for CPS-IoT enabled healthcare ecosystems. In 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT) (pp. 1-6). IEEE.
Aitazaz, F. (2018). Fortifying technology: Computer science solutions for cyber-attacks and cloud security.
Alabdulatif, A., Khalil, I., & Saidur Rahman, M. (2020). Security of blockchain and AI-empowered smart healthcare: Application-based analysis. Applied Sciences, 12(21), 11039.
Alizai, S. H., Asif, M., & Rind, Z. K. (2021). Relevance of Motivational Theories and Firm Health. Management (IJM), 12(3), 1130-1137.
Asif, M. (2021). Contingent Effect of Conflict Management towards Psychological Capital and Employees’ Engagement in Financial Sector of Islamabad. Preston University, Kohat, Islamabad Campus.
Bellamkonda, S. (2020). Cybersecurity in critical infrastructure: Protecting the foundations of modern society. International Journal of Communication Networks and Information Security, 12, 273-280.
Bibi, P. (2020). AI-powered cybersecurity: Advanced database technologies for robust data protection.
Chintala, S. (2020). Data privacy and security challenges in AI-driven healthcare systems in India. Journal of Data Acquisition and Processing, 37(5), 2769-2778.
Chirra, D. R. (2021). Mitigating ransomware in healthcare: A cybersecurity framework for critical data protection. Revista de Inteligencia Artificial en Medicina, 12(1), 495-513.
Chirra, D. R. (2021). Secure edge computing for IoT systems: AI-powered strategies for data integrity and privacy. Revista de Inteligencia Artificial en Medicina, 13(1), 485-507.
Cooper, M. (2020). AI-driven early threat detection: Strengthening cybersecurity ecosystems with proactive cyber defense strategies.
Elijah Roy, R. (2021). Harnessing AI and machine learning for enhanced security in cloud infrastructures. International Journal of Advanced Engineering Technologies and Innovations, 1(3), 14-28.
Fatima, S. (2020). Fortifying the future: Advanced cybersecurity tactics for cloud platforms and device security.
Hussain, A. H., Hasan, M. N., Prince, N. U., Islam, M. M., Islam, S., & Hasan, S. K. (2021). Enhancing cyber security using quantum computing and artificial intelligence: A.
Hussain, Z., & Khan, S. (2021). AI and cloud security synergies: Building resilient information and network security circulation ecosystems.
IBRAHIM, A. (2019). AI armory: Empowering cybersecurity through machine learning.
Jimmy, F. (2021). Emerging threats: The latest cybersecurity risks and the role of artificial intelligence in enhancing cybersecurity defenses. Valley International Journal Digital Library, 564-574.
Kasula, B. Y. (2017). Machine learning unleashed: Innovations, applications, and impact across industries. International Transactions in Artificial Intelligence, 1(1), 1-7.
Maddireddy, B. R., & Maddireddy, B. R. (2021). Enhancing endpoint security through machine learning and artificial intelligence applications. Revista Espanola de Documentacion Cientifica, 15(4), 154-164.
Nimmagadda, V. S. P. (2021). Artificial intelligence and block chain integration for enhanced security in insurance: Techniques, models, and real-world applications. African Journal of Artificial Intelligence and Sustainable Development, 1(2), 187-224.
Raza, H. (2021). Proactive cyber defense with AI: Enhancing risk assessment and threat detection in cybersecurity ecosystems.
Reddy, A. R. P. (2021). The role of artificial intelligence in proactive cyber threat detection in cloud environments. Neuro Quantology, 19(12), 764-773.
Shah, V. (2021). Machine learning algorithms for cybersecurity: Detecting and preventing threats. Revista Espanola de Documentacion Cientifica, 15(4), 42-66.
Shukla, A. (2021). Leveraging AI and ML for advance cyber security. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-154. DOI: doi.org/10.47363/JAICC/2021 (1), 142, 2-3.
Waqas, M., Tu, S., Halim, Z., Rehman, S. U., Abbas, G., & Abbas, Z. H. (2020). The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges. Artificial Intelligence Review, 55(7), 5215-5261.
Zygun, D. (2020). Cyber-attack resilience: Fortifying devices and cloud systems with computer science innovations.
Comparative Analysis of Skill-Based Education in Developed and Developing Countries
Full text linkWorkforce readiness and inclusive growth are based on skill-based education, commonly implemented in the form of technical and vocational education and training (TVET). It is review that compiles comparative evidence in the context of selected developed (USA, Russia, China, Japan, Finland, Germany, France, Turkey, UK, Malaysia, Singapore) and developing (Pakistan, India, Sri Lanka, Bangladesh, Afghanistan, Indonesia, Nepal, Maldives, Iran) country contexts. It analyses the models of governance, employer engagement, curriculum and pedagogy, inclusiveness, digitalization, and outcomes. Results demonstrate the usefulness of dual-apprenticeship models using detailed upper-secondary progressions in stimulating literacy/numeracy enhancements and easy school-to-employment transitions, whilst blended models encounter issues with esteem and compliance. The construction of systems often encounters skills gaps associated with shortages, introduction of inequalities in quality, and digital inequality; systemic changes in teacher instruction, competency-oriented instruction, and digital infrastructures are essential. Policy options that are adjusted with regard to system type and capacity are made at the end of the paper.
References
Beqiri, T. (2014). Vocational Trainings as a Tool for more Sustainable Employment in Republic of Kosovo: Gender Issues in Employment. SIPARUNTON-International Journal of Interdisciplinary Research, 1(4), 701-718.
Božić, R. (2015). On Comparative Analysis of Mathematical Education of Serbia, Croatia and Finland.
Cahyadi, A. (2020). COVID-19 Outbreak and New Normal Teaching in Higher Education: Empirical Resolve from Islamic Universities in Indonesia. Dinamika Ilmu, 20(2), 255-266.
Deissinger, T. (2015). International education policy: Its influence on the conception of VET and the VET system in Germany. Research in Comparative and International Education, 10(4), 607-621.
Guo, H., & Meng, X. (2015, June). Accounting Foundation Course Flipped Classroom Application in Higher Vocational Colleges Teaching. In International Conference on Education, Management and Computing Technology (ICEMCT-15) (pp. 1303-1306). Atlantis Press.
Haasler, S. R. (2020). The German system of vocational education and training: challenges of gender, academisation and the integration of low-achieving youth. Transfer: European Review of Labour and Research, 26(1), 57-71.
Madhur, S. (2014). Cambodia\u27s skill gap: An anatomy of issues and policy options. Cambodia Development Research Institute.
Mukundi, R. M., & Njuki, W. (2019). Enhancing Green Learning and Training in TVET Institutions Through Digital Libraries in Nyeri County, Kenya. Africa Journal of Technical and Vocational Education and Training, 4(1), 13-23.
Panda, A., & Ojha, L. (2021). ‘WASTAGE’IS A CHALLENGE OF TRIBAL EDUCATION-A REVIEW BASED STUDY. International Journal of Multidisciplinary Research, 7(1), 34-38.
Pensiero, N., & Green, A. (2018). The effects of post‐compulsory education and training systems on literacy and numeracy skills: A comparative analysis using PISA 2000 and the 2011 survey of adult skills. European Journal of Education, 53(2), 238-253.
Rashid, S. (2018). The effect of training in Mobile Assisted Language Learning on attitude, beliefs and practices of tertiary students in Pakistan. http://dx.doi.org/10.26021/9895
Shahid, N., Asif, M., & Pasha, A. (2022). Effect of internet addiction on school going children. Inverge Journal of Social Sciences, 1(1), 13-55.
Takavarasha, S. (2020). Digital development for a progressive networked society. The Electronic Journal of Information Systems in Developing Countries, 86(5). https://doi.org/10.1002/isd2.12141
Waight, N., & Neumann, K. (2020). 21st-century science education digital ecologies: Technology, technique, shoelaces, promise, and pitfalls. Journal of Research in Science Teaching, 57(9), 1313-1321.
Zhou, Y. (2016). Research of International Trade Practice Teaching based on the Network Environment. In 2016 International Conference on Economy, Management and Education Technology (pp. 1957-1961). Atlantis Press