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Understanding the General Overview of Conflict Transformation and its Dynamics in the Savannah Region of GhanaAuthor: Abutu KaporiDOI: 10.21522/TIJAR.2014.11.02.Art001
Understanding the General Overview of Conflict Transformation and its Dynamics in the Savannah Region of Ghana
Abstract:
From creation, conflict has since lived with mankind in all facets of life. Conflict lives with man, his environment, groups or associations. In families or marriages, conflict is deeply experienced either in the form of simple or chronic. At the workplace or the institutional level, conflict plays a key role in work operations among or between employees and employers or core management. Conflict in itself comes with positive and negative development to society. In the sovereign country like Ghana, majority of the population hold the perception or proposition that the five regions of the North are deeply rooted into conflict engagements. This perception is done to some geo-conflict occurrences in the Northern part of Ghana. The question is - what really is the term conflict? Many have divergent conceptualized views, opinions or perceptions about conflict in society. Some find answers by saying it erupts when there is argument between two or more people, when there are interests to satisfy, misunderstanding, cheating, injustice among others. Even identical twins do have conflicts. Examples of conflicts include the Kusasi – Mamprusi conflict of Bawku, Konkomba – Dagomba conflict, the Abudu – Andani Dagbon Chieftaincy conflict all of Northern Ghana and the Eritrean – Ethiopia Civil War, Rwandan Genocide, Somali Civil War, Nigerian Civil War as well as the Russia – Ukraine War.
Understanding the General Overview of Conflict Transformation and its Dynamics in the Savannah Region of Ghana
References:
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[2] Conley R. S. and Dahan C. (2013). Legislative Behaviour in the Northern Ireland Assembly.
[3] Carter, M. S., & Little, M., (2007). Justifying Knowledge, Justifying Methods, Taking Action: Epistemologies, Methodologies and Methods in Qualitative Research. University of Sydney, Australia. PMID:18000071.
[4] Dordah, A .D., (2012). Framework of Integrating Indigenous and Formal Conflict. Resolution Approaches in the Upper West Region of Ghana, theses.
[5] Payne, K., & Grey, L. (2014). Quantitative Methodologies. In an Introduction to Health Services Research Sage Publications Ltd.
[6] Benarkuu, G. G., (2015). Spider-web Methodology of Gathering Data to Solve Conflicts in Society. EMODAL manual. CCOD (SUNYANI). www.ccod.edu.gh
[7] Sears, Alan., (2008). A Good Book in Theory: A Guide to Theoretical Thinking. New York; Higher Education University, Toronto Press.19.
[8] Mahama, E. S. (2003). Conflict in Ghana: Strategies, Stakeholders And the Way Forward. In B.
[9] Marshall J. E. (2009). Building an Effective African Standby Force to Promote African Stability, Conflict Resolution and Prosperity [Discussion paper No. 16] (Series 2). London, UK: Crisis States Research Centre.
[10] Bates, R. H. (2019). Modernization, Ethnic Competition, And the Rationality of Politics in contemporary africa. in State versus Ethnic Claims: African Policy Dilemmas (pp. 152-171). Routledge.
[11] Nnoli, O. (2006). National Security in Africa: A Radical New Perspective. Enugu: Snaap Press Ltd.
[12] Adjei, J. K. (2016). “Tracking the Peacebuilding Approaches in the Bawku Chieftaincy Conflict: Prospects and Challenges” in Steve Tonah and Alhassan Suleimana Anamzoya eds.), Managing Chieftaincy and Ethnic Conflicts in Ghana (pp. 67-89). Accra: Woeli.
[13] Roland, D. (2010). International Relations Theories: Energy, Minerals and Conflict (working paper n. 8).
[14] Burton, J. (1990). Conflict: Resolution and prevention. Vol.1. London: Macmillan.
[15] Michalopoulos, S., & Papaioannou, E. (2020). Historical legacies and African development. Journal of Economic Literature, 58(1), 53-128.
[16] Van Halema, V., & Rassul, K. (2013). Local Conflict Trend Analysis: Balkh Province. Kabul: CPAU.
[17] Kwesi, A. (2013). Report on Access to Justice -Scoping Study of the Justice (formal and informal) sector in Ghana. (Unpublished Manuscript).
[18] Atuguba, R. A., Agyebeng, K., & Dedey, E. (2006). Access to justice in Ghana:
[19] Bukari K. N. (2013). Exploring Indigenous Approaches to Conflict Resolution: The Case of The Bawku Conflict in Ghana. Journal of Sociological Research, 4(2), 86-104.
[20] Hammill, A., & Bescançon, C. (2010). Promoting Conflict Sensitivity in Transboundary Protected Areas: A Role For Peace and Conflict Impact Assessments (Handbook Dialogue Series, No. 8.). Paper Prepared for the Workshop on Transboundary Protected Areas in the Governance Stream of the 5th World Parks Congress, Durban, South Africa.
[21] Awedoba, A. K. (2009). An Ethnographic Study of Northern Ghanaian Conflicts: Towards a Sustainable Peace. Accra: Sub-Saharan Publishers.
[22] Lundy, B. D. (2014). Monitoring Conflicts of Interest: Social Conflicts in Guinea Bissau’s Fisheries. London: Lexington Books.
[23] Lederach, J. (2005). The Moral Imagination: The Art and Soul of Building Peace. Oxford: Oxford University Press.
[24] Galtung, J. (1996). Peace by Peaceful Means: Peace and Conflict, Development and Civilisation. Oslo, Norway: PRIO.
Benarkuu, G.G., (2017) manuscript; conflict concept diagram adopted from www.ccod.edu.gh organisational development (OD) retreat therapyViewed PDF 682 80 -
Determination of Relationship Between the Application of ICT and Decision-Making Federal Universities of Northern NigeriaAuthor: Ochade Chukwunalu MaxwellDOI: 10.21522/TIJAR.2014.11.02.Art002
Determination of Relationship Between the Application of ICT and Decision-Making Federal Universities of Northern Nigeria
Abstract:
This study examines how Federal Universities of Northern Nigeria use ICT to make decisions. Technology in data storage, analytics, and decision support systems has transformed decision-making, according to the introduction. We examine how ICT improves decision-making through data gathering, analysis, and communication. The hypothesis is that ICT use does not affect decision-making in these universities. The correlational study included 2,114 workers from all Northern Nigerian Federal Universities. The sample procedure selected states from each geopolitical zone and seven federal institutions from each state. Data was collected using a questionnaire on ICT in Effective Planning (QAICTEP). The null hypothesis was tested using Pearson's Product Moment Correlation coefficient (PPMCC). The respondents' age, experience, and qualifications were diverse. Male respondents outnumbered female respondents 75% to 25%. The null hypothesis was rejected since the PPMCC analysis showed a positive correlation (r = 0.609) between ICT application and decision-making. The conclusion shows that ICT use improves decision-making. ICT infrastructure investments, training, enhanced Decision Support System integration, and strong data governance regulations are recommended. at conclusion, this study sheds light on strategic ICT integration and decision-making at Federal Universities in Northern Nigeria, emphasising the need to improve decision-making quality and efficiency.
Determination of Relationship Between the Application of ICT and Decision-Making Federal Universities of Northern Nigeria
References:
[1]. Adedokun, M. O., Ogunleye, S. B. (2020). The Impact of Information and Communication Technology on Decision Making in Nigerian Universities. International Journal of Computer Applications, 179(41), 39-47.
[2]. Adetimirin, A. (2012). ICT Literacy among Undergraduates in Nigerian Universities. Education and Information Technologies, 17(4), 381-397.
[3]. Ajayi, I. A., Ekundayo, H. T. (2009). The application of information and communication technology in Nigerian secondary schools. International NGO Journal, 4(5), 281-286.
[4]. Ali, A. et al. (2018). Enhancing Communication and Collaboration in Nigerian Universities through ICT. European Journal of Computer Science and Information Technology, 6(1), 1-11.
[5]. Ani, O. (2013). ICT Adoption in Nigerian Universities. Journal of Emerging Trends in Computing and Information Sciences, 4(9).
[6]. Ani, O. E., Biao, E. P. (2005). Accessibility of Resources by Undergraduates: A Case Study of a Nigerian University of Technology. The Electronic Library, 23(5), 518-526.
[7]. Asiyai, R. (2015). Challenges of quality in higher education in Nigeria in the 21st century. International Journal of Educational Planning & Administration, 5(2), 159-172.
[8]. Baro, E., Edewor, N., Sunday, G. (2014). Web 2.0 Tools: A Survey of Awareness and Use by Librarians in University Libraries in Africa. The Electronic Library, 32(6), 864-883.
[9]. Bhargava, H. K., Power, D. J., Sun, D. (2007). Progress in Web-Based Decision Support Technologies. Decision Support Systems, 43(4), 1083–1095. https://doi.org/10.1016/j.dss.2005.07.002
[10]. Courtney, J. F. (2001). Decision making And Knowledge Management In Inquiring Organizations: Toward a New Decision-Making Paradigm for DSS. Decision Support Systems, 31(1), 17–38. https://doi.org/10.1016/s0167-9236(00)00117-2
[11]. Ezenwoke, A., Tanko, H. (2017). The Role of ICT in Streamlining Administrative Processes in Nigerian Universities. International Journal of Research in Education and Science, 3(1), 146-154.
[12]. Few, S. (2006). Information Dashboard Design: The Effective Visual Communication of Data. O'Reilly Media, Inc.
[13]. Jim, C. Y., Chen, W. Y. (2010). External Effects of Neighbourhood Parks and Landscape Elements on High-Rise Residential Value. Land Use Policy, 27(2), 662–670. https://doi.org/10.1016/j.landusepol.2009.08.027
[14]. Nok, G. (2006). The Challenges of Computerizing a University library in Nigeria: the Case of Kashim Ibrahim Library, Ahmadu Bello University, Zaria. Library Philosophy and Practice, 8(2), 1-7.
[15]. Power, D. J. (2002). Decision Support Systems: Concepts and Resources for Managers. Greenwood Publishing Group.
[16]. Watson, H. J. (2009). Tutorial: Business Intelligence-Past, Present, and Future. Communications of the Association for Information Systems, 25(1), 39.
[17]. Yusuf, M. A. (2018). Decision Support Systems in Nigerian Universities: A Catalyst for Informed Decision-Making. Journal of Business and Management, 20(4), 1-8.
[18]. Akinbo, S. (2017). Backness Harmony in Fungwa. Qualifyin Paper, University of British Columbia
[19]. Mohammed, I. D. (2006). Workshop Facilities Management Techniques Adopted by Technical Staff in Institutions Offering Technical Teacher Education in Northwestern Nigeria. Unpublished M.Ed Thesis. UNN: Department of VTE.
[20]. Messerli, B. (2012). Information and Communication Technologies for Sustainable Development: A Review of Concepts, Applications, and Challenges. International Journal of Sustainable Development & World Ecology, 19(3), 184-194. https://doi.org/10.1016/j.sdw.2011.11.001
[21]. Adegboye, A. O. (2001). Research Project Report. A Practical Guide. Kwara State College of Education, Ilorin.
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Unveiling the Potential of Open Strategy: An Exposé of Strategic Planning in the South African Mining SectorAuthor: Robert Ward GrayDOI: 10.21522/TIJAR.2014.11.02.Art003
Unveiling the Potential of Open Strategy: An Exposé of Strategic Planning in the South African Mining Sector
Abstract:
The South African mining industry, despite being the world's fifth-largest mineral reserve, is facing various challenges that prevent it from contributing to the economy to its fullest potential. These challenges include inflationary pressure, extreme nationalism, political instability, civil unrest, poor infrastructure, and inefficient regulatory practices, which have discouraged foreign investments. Although the government has developed legal frameworks to address uncertain circumstances, the lack of follow-up and transparency are key drawbacks contributing to the persistence of these issues. The aim of this study was to investigate the potential of open strategy as a strategic management method in the South African mining industry can foster innovation and growth while showcasing how open strategy can benefit both established and emerging mining entities. The study highlights the importance of adopting a mutually beneficial approach, which can unlock the full potential of the mining industry and lead to more innovative and competitive business strategies. The study used a mixed methodology, which means both quantitative and qualitative data were collected. The research included interviews with 20 highly knowledgeable participants and a survey that received 205 responses. To identify the right individuals to participate in the research, the snowball research technique was used. It helped in creating a relevant chain sampling and selecting individuals based on their knowledge, relationships, and expertise regarding the research subject. According to the study's results, there is a favorable attitude toward open strategy, which is reinforced by the growing demand for inclusive communication as an effective means of engaging stakeholders. The results also revealed that the South African mining sector lacks formalized strategies and employee engagement methods. The research determined the value of the current strategic processes in South Africa's mining sector and generated an approach to how open strategy can be a successful process for mining companies.
Unveiling the Potential of Open Strategy: An Exposé of Strategic Planning in the South African Mining Sector
References:
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[4]. Lindsay-Smith, G., O’Sullivan, G., Eime, R., Harvey, J., & Van Uffelen, J. (2018). A Mixed Methods Case Study Exploring the Impact of Membership of a Multi-Activity, Multicentre Community Group on Social Wellbeing of Older Adults. BMC Geriatrics, 18(1). https://doi.org/10.1186/s12877-018-0913-1
[5]. Mares, D. R. (2022). Resource Nationalism nd Energy Policy: Venezuela In Context. Columbia University Press, https://www.energypolicy.columbia.edu/publications/resource-nationalism-and-energy-policy/
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Evaluation of the Suitability of The Established Standard Height of Occlusal Rim Blocks Among the Dental Clinicians in Makerere University Dental Hospital In UgandaAuthor: David NonoDOI: 10.21522/TIJAR.2014.11.02.Art004
Evaluation of the Suitability of The Established Standard Height of Occlusal Rim Blocks Among the Dental Clinicians in Makerere University Dental Hospital In Uganda
Abstract:
There's a growing demand for better dental prosthetics that combine function, aesthetics, and comfort. The therapy for edentulous patients can be realized through the use of conventional Removable Complete Dentures (RCDs), implant-supported prostheses, and Computer-Aided Design and Computer-Aided Manufacturing (CADCAM). This study was aimed at evaluating the suitability of the established standard height of ORBs among the dental clinicians in Makerere University Dental Hospital in Uganda. This was a cross-sectional study employing a qualitative approach using purposive sampling. Fifteen (15) participants were selected across social demographics. Thematic data analysis revealed insights into the suitability of the established standard height of ORBs. Interviews were recorded and transcribed and themes were generated to draw deeper meaning for suitability. A qualitative package, Open code version 4.2.1 was used to generate themes from the interviews followed by an interpretation of the data generated, and the result was presented as text and table. The findings revealed a prevalent trend in Uganda where occlusal rim block heights often fall below international standards, emphasizing the need for a patient-centered and individualized approach. There's a positive shift towards new measurements, improving chair-side efficiency, and reducing appointment duration. The findings highlighted economic efficiency, minimizing material wastage, and positively impacting patient-reported outcomes. This study highlighted the need for tailored ORB guidelines for Ugandan edentulous patients for better treatment outcomes. This will save time during the registration stage and help to improve accuracy.
Evaluation of the Suitability of The Established Standard Height of Occlusal Rim Blocks Among the Dental Clinicians in Makerere University Dental Hospital In Uganda
References:
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Traits and Skills Required by Project Managers to Complete Construction Projects in Guyana's Civil Engineering FirmsAuthor: Latchman SinghDOI: 10.21522/TIJAR.2014.11.02.Art005
Traits and Skills Required by Project Managers to Complete Construction Projects in Guyana's Civil Engineering Firms
Abstract:
This paper will highlight the important features of Project Management Traits and Skills and identify the most effective skill set to produce a successful Construction Project. The paper is laid out with a general introduction of the key concepts of Project Management, specifically Construction Project Management, it then examines the crucial traits, skills, and characteristics and determines based on research of works completed as to the combination that is most likely to achieve project success. It was established that Interpersonal skills, leadership, effective communication, and prompt technical skills were likely to produce the most successful project. The purpose of the research study is to place, in the research linguistics, the methods and instruments to be used in the research model, from the location of the type of study and the design of the research; its world or population; its samples; and the instruments and techniques of data collection. The techniques used in this study will be based on the literature, review of standards of traits and skills, studies, and research undertaken previously, which will allow to gather the information needed to make findings and conclusions and develop the Risk Management Plan. The result was identifying traits and skills needed by Project Managers to compete and complete construction projects and how project managers must operate and respect the professional codes of their field, particularly the responsibilities that surround all facets of project management.
Traits and Skills Required by Project Managers to Complete Construction Projects in Guyana's Civil Engineering Firms
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Digitalisation and Economic Inclusion: Lessons from Rural Women in Umguza District ZimbabweAuthor: Ashley Eve KudiwaDOI: 10.21522/TIJAR.2014.11.02.Art006
Digitalisation and Economic Inclusion: Lessons from Rural Women in Umguza District Zimbabwe
Abstract:
This article explores the usefulness of digitalisation in the economic inclusion of rural women in the Umguza district of Zimbabwe. An inductive approach was used, and information was collected through semi-structured interviews with 250 rural women in the 19 wards of Umguza district between the ages of 16 and 65, as well as reviewing secondary data in the form of government, non-governmental, industry reports and scholarly articles. Thematic analysis was used to draw insights on pertinent themes and patterns related to the role of digitalisation in the economic inclusion of rural women. The key findings indicated that the lives of rural women who accessed and used digital technology improved through active participation in economic activities and had greater, faster access to information and skills resulting in higher productivity. The findings highlight the necessity of adopting a gender-sensitive approach in rolling out technology-based initiatives to ensure the sustainable economic inclusion of rural women, ultimately contributing to the broader goals of gender equality and economic development. The study concluded that access to and usage of digital technologies opens up economic prospects for rural women, enriches their financial status, increases their access to education, and nurtures social connectivity. The findings also show that when elements like the provision of cheaper broadband solutions and low-cost smartphones are not attended to, digitalisation has the potential to adversely affect rural women resulting in the widening of the digital gender divide. The recommendations from this study provide insights to government, private sector, and civil society seeking to drive women's economic inclusion through digitalisation and contribute to the body of research on digitalisation and rural women’s economic inclusion.
Digitalisation and Economic Inclusion: Lessons from Rural Women in Umguza District Zimbabwe
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The Ten Business Values System Theory: A Literature-based AnalysisAuthor: Lindunda WamunyimaDOI: 10.21522/TIJAR.2014.11.02.Art007
The Ten Business Values System Theory: A Literature-based Analysis
Abstract:
The study sought to contribute to the general body of knowledge and research work in business value system (BVS). The research work also aimed to establish the most prominent types of values from the literature and ascertain how BVS elements are interconnected and influence business performance toward success. The concept of business values as a system is relatively new. However, this paper’s purpose is to bridge the various pieces of BVS knowledge in literature by systematically reviewing a collection of articles on the subject and drawing valuable conclusions relating to the various paradigms or schools of thought. The researcher, for this study, identified and critically reviewed a minimum of forty (40) old and recent articles on BVS that were gathered from highly recognized and profiled research databases, including Google Scholar, Research Gate and Elsevier (database), Persistent themes on the prevalent forms of BVS; their interconnectedness and their influence on business performance were observed. It became clear that defining BVS exists because of the systematic connectedness of the values. There is enough evidence from the literature that when implemented well, BVS yields successfulness to the companies and consequently, development of the respective local and national communities in a mutual manner.
The Ten Business Values System Theory: A Literature-based Analysis
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Relationship Between the Application of ICT and Effective Planning in Federal Universities of Northern NigeriaAuthor: Ochade Chukwunalu MaxwellDOI: 10.21522/TIJAR.2014.11.02.Art008
Relationship Between the Application of ICT and Effective Planning in Federal Universities of Northern Nigeria
Abstract:
Information and communications technology (ICT) plays a vital role in enhancing planning effectiveness in higher education institutions. This study investigated the relationship between ICT application and effective planning in federal universities in Northern Nigeria. A correlational research design was used with population is ten thousand five hundred and seventy-seven (10,577) staff and the sample size of 2,114 university staff. The sapling procedure was simple random sampling; proportionate sampling and accidental sampling. Participants completed a modified likert scale questionnaire measuring ICT use and effective planning. Descriptive statistics of frequency counts and percentages was used. At a significance level of 0.05, Pearson's Product Moment Correlation coefficient (PPMCC) was employed to evaluate the formulated null hypotheses. Results showed a significant moderate positive correlation (r = 0.528, p < 0.05) between ICT application and effective planning, indicating technology use associates with improved planning. The findings were that there is significant relationship between the application of ICT and effective planning in Federal Universities of Northern Nigeria. Based on these conclusions, it is recommended that universities develop ICT plans integrated with their strategic goals, while conducting regular evaluations to refine technology management practices. This will empower effective data-driven and collaborative planning activities. The study provides empirical evidence on the relationship between ICT capabilities and planning effectiveness in Nigerian higher education.
Relationship Between the Application of ICT and Effective Planning in Federal Universities of Northern Nigeria
References:
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Cresswell, J. (2012). Qualitative Inquiry and Research Design: Choosing Among Five Traditions. Sage PublicationsViewed PDF 384 16 -
Risk Management Considerations for Civil Engineering Consultancy Services in GuyanaAuthor: Latchman SinghDOI: 10.21522/TIJAR.2014.11.02.Art009
Risk Management Considerations for Civil Engineering Consultancy Services in Guyana
Abstract:
Identification of the possible risks that will affect the projects, knowing them will allow control of these, will increase the probability of success of the projects, and the level of confidence of the involved will increase by decreasing the level of uncertainty of the project. The development of this work is comprised of five phases, first was a planning to structure the processes to follow evaluating,, stages, then the risks that will affect the project and their characteristics, the qualitative analysis was performed, prioritized for actions, evaluating and estimating their probability of occurrence and their impact, then the plan was designed for the treatment and response to risks to reduce, retain and transfer their threats during the development of the project itself and finally give the guidelines for the monitoring and control of risks. Based on the above, the following question is generated: What are the risks to consider in consultancy services for the Project of Construction, to guarantee success in the execution, monitoring, and control of the same? The purpose of the research will be to: Analyze qualitatively the risks identified that meet the standards mandated by the construction oversight body in the construction sector. This research would have used a qualitative approach by utilizing information gathered from secondary sources as the main source of data and presented an office study approach rather than a fieldwork data structure. The result was identifying Risk Management factors for the Project of Construction to offer a tool that helps in better decision-making and to establish implementing strategies that guarantee the fulfillment of the objectives of quality, and costs of the Project.
Risk Management Considerations for Civil Engineering Consultancy Services in Guyana
References:
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[6] Institution of Civil Engineers and the Actuarial Profession., 2005, Risk analysis and management for projects (RAMP). 2nd ed. Institution of Civil Engineers and the Actuarial Profession. London: Thomas Telford Ltd.
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The Effect of Internal Factors on Financial Performance of Pharmaceutical Wholesale Companies in ZimbabweAuthor: Priscilla KusenaDOI: 10.21522/TIJAR.2014.11.02.Art010
The Effect of Internal Factors on Financial Performance of Pharmaceutical Wholesale Companies in Zimbabwe
Abstract:
The study examined the effect of internal factors on financial performance of pharmaceutical wholesale companies in Zimbabwe. The research objectives set to guide the study were to ascertain internal factors influencing the financial performance of pharmaceutical wholesale companies; establish operating mechanisms that are deployed to improve financial performance of pharmaceutical wholesale companies; identify adverse effects resulting from the poor financial performance of pharmaceutical wholesale companies and proffer recommendations on how pharmaceutical wholesale companies in Zimbabwe can improve financial performance. The study adopted a quantitative research design and employed convenient sampling to gather data from 103 pharmaceutical companies in Zimbabwe. Data was analyzed using descriptive statistics and the results from the study were presented using tables and figures. Results from the study show that information technology systems and marketing systems may influence financial performance of pharmaceutical wholesale companies, while organizational culture, financial mechanisms and distribution systems may not influence financial performance. Adverse effects of poor financial performance identified in the study include economic loss, bad operational decisions, poor staff retention and bankruptcy. Key recommendations from the study include the need to leverage information technology (IT) systems and marketing systems to improve the financial performance of pharmaceutical wholesale companies in Zimbabwe. While the study did not find significant influences of organizational culture, financial mechanisms and distribution systems on financial performance, it is essential for companies to continuously assess and adapt these internal factors to align with organizational goals and market dynamics.
The Effect of Internal Factors on Financial Performance of Pharmaceutical Wholesale Companies in Zimbabwe
References:
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[2] Musiza, P.T. 2023. Pricing Strategies of Pharmaceutical Wholesalers in Zimbabwe and Their Impact on Service Provision. Open Access Library Journal, 10(1):1-30.
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[4] Gughlanga, E.S., & Madongonda, A.M. 2019. Surviving a Rabid Economy: The current cash crisis and its threat to security and governance in the monetary sector in Zimbabwe. The Journal of Africa Development XLIV 3 pp 87-105.
[6] Chirisa, I., Dumba, S. & Mukura, T. 2012. Innovative, Adaptive and Survivalist Strategies by Small Business Enterprises in Zimbabwe (1990-2009). Implications for Policy and Planning. International Journal of Academic Research in Business and Social Sciences: (2):114-132.
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[10] Fincham J.E. 2008. Response rates and responsiveness for surveys, standards, and the Journal. American Journal of Pharmacy Education. 15;72(2):43.
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[14] Mandel, G.D. 2023. Improving Strategic Planning: The Crucial Role of Enhancing Relationships between Management Levels. Administrative Sciences 13(10): 211. https://doi.org/10.3390/admsci13100211.
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[18] Gunu, U., & Adamade, S.S. 2015. The relationship between firm age and financial performance in Nigeria: a panel analysis. Journal of Sustainable Development in Africa. 17(3): 128-141.
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Intestinal Microbiome and Antimicrobial Resistivity: A Study in Recent TimesAuthor: Shayeri DasDOI: 10.21522/TIJAR.2014.11.02.Art011
Intestinal Microbiome and Antimicrobial Resistivity: A Study in Recent Times
Abstract:
The world has recently witnessed a pandemic and is now challenged by continuous environmental changes. Human health is in constant jeopardy with the rise in bacterial, fungal, and viral infections. Antibiotics are the most widely used medication for the treatment of any infection. The urban population does not always maintain a healthy lifestyle due to the fast-paced nature of life. West Bengal the eastern state of India is no exception to this directive. Rampant use of antibiotics and their frequent consumption has widely increased over the years. This is posing a serious threat to the healthy microbiome of the human intestine. It is resulting in a decline of the healthy microbiota and the development of antibiotic resistance. The study aims to understand the effect of antibiotic consumption in the post-COVID scenario on the gut microbiome of the West Bengal population. The population includes both rural and urban as it takes into account the different lifestyles.
Intestinal Microbiome and Antimicrobial Resistivity: A Study in Recent Times
References:
[1] Barron M, 2022, The Gut Resistome and the Spread of Antimicrobial Resistance. American Society of Microbiology, June 2022. The Gut Resistome and the Spread of Antimicrobial Resistance (asm.org).
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[24] McKoy J, 2022. Antibiotic Misuse in India could exacerbate drug resistance. Boston University School of Public Health News Article, 28 October 2022. https://www.bu.edu/sph/news/articles/2022/antibiotic-misuse-in-india-could-exacerbate-drug-resistance/.
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A Cross Sectional Study in Indian Adult Population to Assess the Internet Addiction and its Effect on the Quality of SleepAuthor: Shilendra PandeyDOI: 10.21522/TIJAR.2014.11.02.Art012
A Cross Sectional Study in Indian Adult Population to Assess the Internet Addiction and its Effect on the Quality of Sleep
Abstract:
In contemporary society, the internet has become an integral aspect of daily life, alongside a concerning rise in internet addiction characterized by an overwhelming compulsion to engage with online activities. This phenomenon is particularly prevalent among the youth population in India, leading to various physical, mental, and emotional challenges. Despite its widespread impact, internet addiction has yet to be officially recognized as a disorder in diagnostic manuals like the DSM. A comprehensive meta-analysis spanning 80 studies across 31 countries revealed a global prevalence of internet addiction at 6%. In the Indian context, a study sponsored by the Indian Council of Medical Research surveyed 2,755 adults aged 18-65, identifying a prevalence rate of approximately 1.3%. Examining a sample of 303 adult participants in India, it was found that 33.3% exhibited signs of internet addiction, with 1.7% classified as severely addicted, 10.2% as moderately addicted, and 20.8% as mildly addicted. Notably, the majority of severely addicted individuals were in the 26-35 age group, while addiction rates were higher among males compared to females [1, 2]. Furthermore, analysis revealed a correlation between internet addiction and poor sleep quality, affecting 22.6% of addicted individuals, particularly males aged 18-25 and 26-35. These findings underscore the urgent need for further research and interventions to address the growing issue of internet addiction and its associated health impacts.
A Cross Sectional Study in Indian Adult Population to Assess the Internet Addiction and its Effect on the Quality of Sleep
References:
[1]. Leung, L. (2004). Net-Generation Attributes and Seductive Properties Oof the Internet as Predictors of Online Activities and Internet Addiction. CyberPsychology & Behavior, 7(3), 333-348.
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[7]. Mythily, S., Qiu, S., & Winslow, M. (2008). Prevalence and Correlates of Excessive Internet use Among Youth in Singapore. Annals Academy of Medicine Singapore, 37(1), 9.
[8]. Beutel, M. E., Brähler, E., Glaesmer, H., Kuss, D. J., Wölfling, K., & Müller, K. W. (2011). Regular and Problematic Leisure-Time Internet Use in the Community: Results from a German Population-Based Survey. Cyberpsychology, Behavior, and Social Networking, 14(5), 291-296.
[9]. Sung, J., Lee, J., Noh, H. M., Park, Y. S., & Ahn, E. J. (2013). Associations Between the Risk of Internet Addiction and Problem Behaviors Among Korean Adolescents. Korean Journal of Family Medicine, 34(2), 115.
[10]. Poli, R., & Agrimi, E. (2012). Internet Addiction Disorder: Prevalence in an Italian Student Population. Nordic Journal of Psychiatry, 66(1), 55-59.
[11]. Ha, J. H., Yoo, H. J., Cho, I. H., Chin, B., Shin, D., & Kim, J. H. (2006). Psychiatric Comorbidity Assessed in Korean Children and Adolescents Who Screen Positive for Internet Addiction. Journal of Clinical Psychiatry, 67(5), 821.
[12]. Ko, C. H., Yen, J. Y., Chen, C. S., Yeh, Y. C., & Yen, C. F. (2009). Predictive Values of Psychiatric Symptoms for Internet Addiction in Adolescents: A 2-Year Prospective Study. Archives of Pediatrics & Adolescent Medicine, 163(10), 937-943.
[13]. Morrison, C. M., & Gore, H. (2010). The Relationship Between Excessive Internet Use and Depression: A Questionnaire-Based Study of 1,319 Young People and Adults. Psychopathology, 43(2), 121-126.
[14]. Canan, F., Ataoglu, A., Ozcetin, A., & Icmeli, C. (2012). The Association Between Internet Addiction and Dissociation Among Turkish College Students. Comprehensive Psychiatry, 53(5), 422-426.
[15]. Kheyrkhah, F. G. H. A. B. E. L. I., GHABELI, J. A., & Gouran, A. (2010). Internet addiction, prevalence and epidemiological features in Mazandaran Province, Northern Iran.
[16]. Demetrovics, Z., Szeredi, B., & Rózsa, S. (2008). The Three-Factor Model of Internet Addiction: The Development of the Problematic Internet Use Questionnaire. Behavior Research Methods,40, 563-574.
[17]. Bergmark, K. H., Bergmark, A., & Findahl, O. (2011). Extensive Internet Involvement—Addiction or Emerging Lifestyle? International Journal of Environmental Research and Public Health, 8(12), 4488-4501.
[18]. Lam, L. T., Peng, Z., Mai, J., & Jing, J. (2009). The Association Between Internet Addiction and Self-Injurious Behaviour Among Adolescents. Injury Prevention, 15(6), 403-408.
[19]. Bakken, I. J., Wenzel, H. G., Götestam, K. G., Johansson, A., & Øren, A. (2009). Internet Addiction Among Norwegian Adults: A Stratified Probability Sample Study. Scandinavian Journal of Psychology, 50(2), 121-127.
[20]. Lin, M. P., Ko, H. C., & Wu, J. Y. W. (2011). Prevalence and Psychosocial Risk Factors Associated with Internet Addiction Iin a Nationally Representative Sample of College Students in Taiwan. Cyberpsychology, Behavior, and Social Networking, 14(12), 741-746.
[21]. Cheng, C., & Li, A. Y. L. (2014). Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychology, Behavior, and Social Networking, 17(12), 755-760.
[22]. Sharma, M. K., Rao, G. N., Benegal, V., Thennarasu, K., & Thomas, D. (2017). Technology Addiction Survey: An Emerging Concern for Raising Awareness and Promotion of Healthy Use of Technology. Indian Journal of Psychological Medicine, 39(4), 495-499.
[23]. Sharma, A., & Sharma, R. (2018). Internet Addiction and Psychological Well-Being Among College Students: A Cross-Sectional Study from Central India. Journal of Family Medicine and Primary Care, 7(1), 147.
[24]. Rajanna, S. H., & Sharma, M. K. (2016). Exploration of Technology Use Pattern Among Teenagers and Iits Relationship with Psychological Variables. ASEAN Journal of Psychiatry, 239-249.
[25]. Guan, S. S. A., & Subrahmanyam, K. (2009). Youth Internet Use: Risks and Opportunities. Current Opinion in Psychiatry, 22(4), 351-356.
[26]. Dell Osso, B., Hadley, S., Allen, A., Baker, B., Chaplin, W. F., & Hollander, E. (2008). Escitalopram in the Treatment of Impulsive-Compulsive Internet Usage Disorder: An Open-Label Trial Followed by A Double-Blind Discontinuation Phase. Journal of Clinical Psychiatry, 69(3), 452.
[27]. Choi, K., Son, H., Park, M., Han, J., Kim, K., Lee, B., & Gwak, H. (2009). Internet Overuse and Excessive Daytime Sleepiness in Aadolescents. Psychiatry and Clinical Neurosciences, 63(4), 455-462.
[28]. Greenfield, D. N. (2000). Suchtfalle Internet: Hilfe für Cyberfreaks, Netheads und ihre Partner. Walter
[29]. Lanjun, Z. (2009). The Applications of Group Mental Therapy and Sports Exercise Prescriptions in the Intervention of Internet Addiction Disorder. Psychological Science (China), 32(3), 738-41.
[30]. Burke, B. L., Arkowitz, H., & Menchola, M. (2003). The Efficacy of Motivational Interviewing: A Meta-Analysis of Controlled Clinical Trials. Journal of Consulting and Clinical Psychology, 71(5), 843.
[31]. Miller, N. H. (2010). Motivational Interviewing as a Prelude to Coaching in Healthcare Settings. Journal of Cardiovascular Nursing, 25(3), 247-251.
[32]. Grill J. D, Bateman R. J, & Buckles V. A (2015). Survey of Attitudes Toward Clinical Trials and Genetic Disclosure in Autosomal Dominant Alzheimer’s Disease. Alzheimer's Research & Therapy. 7: 50.
[33]. Smith, S. K., Selig, W., Harker, M., Roberts, J. N., Hesterlee, S., Leventhal, D., & Abernethy, A. P. (2015). Patient Engagement Practices in Clinical Research Among Patient Groups, Industry, and Academia in the United States: A Survey. PloS ONE, 10(10), e0140232.
[34]. Marcano Belisario JS, Jamsek J, Huckvale K, O'Donoghue J, Morrison CP, & Car J. (2015). Comparison of Self-Administered Survey Questionnaire Responses Collected Using Mobile Apps Versus Other Methods. Cochrane Database of Systematic Reviews, Issue 7. Art. No.: MR000042.
[35]. Young, K. S. (1999). Internet Addiction: Symptoms, Evaluation, And Treatment. Innovations in Clinical Practice [serial on the Internet]. 1999; 17.
[36]. Sancho-Domingo, C., Carballo, J. L., Coloma-Carmona, A., & Buysse, D. J. (2021). Brief Version of the Pittsburgh Sleep Quality Index (B-PSQI) and Measurement Invariance Across Gender and Age in a Population-Based Sample. Psychological Assessment, 33(2), 111.
[37]. Goel, D., Subramanyam, A., & Kamath, R. (2013). A Study on the Prevalence of Internet Addiction and its Association with Psychopathology in Indian Adolescents. Indian Journal of Psychiatry, 55(2), 140.
[38]. Eliacik, K., Bolat, N., Koçyiğit, C., Kanik, A., Selkie, E., Yilmaz, H., . & Dundar, B. N. (2016). Internet Addiction, Sleep and Health-Related Life Quality Among Obese Individuals: A Comparison Study of the Growing Problems in Adolescent Health. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity, 21, 709-717.
[39]. Savci, M., & Aysan, F. (2016). Relationship Between Impulsivity, Social Media Usage and loneliness. Educational Process: International Journal, 5(2), 106.
[40]. Andhi, N., Syed, A. N., & Saffura, A. (2022). A Cross-Sectional Study on Internet Addiction Disorder and Its Association with Sleep Quality in Young Adults. Annals of Indian Psychiatry, 6(1), 95-98.
[41]. Tamura, H., Nishida, T., Tsuji, A., & Sakakibara, H. (2017). Association Between Excessive Use of Mobile Phone and Insomnia and Depression Among Japanese Adolescents. International Journal of Environmental Research and Public Health, 14(7), 701.
[42]. Thomée, S., Eklöf, M., Gustafsson, E., Nilsson, R., & Hagberg, M. (2007). Prevalence of Perceived Stress, Symptoms of Depression and Sleep Disturbances in Relation to Information and Communication Technology (ICT) Use Among Young Adults–An Explorative Prospective Study. Computers In Human Behavior, 23(3), 1300-1321
[43]. Nuutinen, T., Roos, E., Ray, C., Villberg, J., Välimaa, R., Rasmussen, M., & Tynjälä, J. (2014). Computer Use, Sleep Duration and Health Symptoms: A Cross-Sectional Study of 15-Year Olds in Three Countries. International Journal of Public Health, 59, 619-628.
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Effect of Insurance Funds on Human Development Index in NigeriaAuthor: Anthony Iju NwabunikeDOI: 10.21522/TIJAR.2014.11.02.Art013
Effect of Insurance Funds on Human Development Index in Nigeria
Abstract:
The main objective of this study was to evaluate the effect of insurance funds on human development index in Nigeria between 2012 and 2022. The design adopted for this study was ex-post-factor; data used for analysis were elicited from Central Bank Statistical Bulletin, World Bank Developmental Indicators Data base and National Insurance Commission Annual Reports. To achieve this objective, a model was formulated based on empirical and theoretical reviews. The model used human development index in Nigeria as the dependent variable, while life insurance funds, pension funds and deposit administration funds were the independent variables in the model. This study employed the Fully Modified Least Squares (FMOLS) Model to analyze data.The findings elicited from this study revealed that life insurance funds and pension funds recorded significant positive effect on human development index, while deposit administration funds had a significant negative effect on human development index in Nigeria. From the inferential result, the researcher concluded that insurance funds have significant effect on human development index in Nigeria. From the foregoing, the researcher recommended that the National Insurance Commission, in conjunction with the government should efficiently work together to ensure that the premium collected, and the income generated by the industry through pension funds and life insurance are diversified into economic and productive investment, in order to boost human development in Nigeria.
Effect of Insurance Funds on Human Development Index in Nigeria
References:
[1]. Takon, S. M., John, J. I., Mbaze-Ebock, V. A., Akpan, J. S., Asukwo, J. I., Awah, C. I. A., & Nkamare, S. E. (2020). The Dynamics of Inflation on Banks’ Profitability in Nigeria: An Autoregressive Distributed Lag (Ardl) Model. Journal of Critical Reviews, 7 (13), 4442 – 4448.
[2]. Nzotta, S. M. (2004). Money, Banking and Finance (Theory and practice). Owerri; Jude-Hudson Publishers limited.
[3]. Obim, E. N., John, J. I., & Orok, A. B. (2018). Interest Rate Policy and the Growth of the Nigerian Economy (1990 - 2016). Journal of Banking and Financial Dynamics, 16-23
[4]. Udoka, C. O. &, A. B. (2017). Assessment of the Enterprise Risk Management in the Nigeria Banking Industry. Asian Journal of Economic and Empirical Research, 4(2), 68-74.
[5]. Seyed, A. S., Farahnaz, R. G., Yaser, M., Omid, S., & Abass, A. (2010). Survey of Effective Factors on Adoption of Crop Insurance Among Farmers: A Case Study of Behbahan County, African Journal of Agricultural Research, 5 (16), 2237-2242.
[6]. Srijana, P., & Fatta, B. K. (2017). Contribution of Insurance in Economic Growth of Nepal. Journal of Advanced Academic Research (JAAR), 4 (1), 99-110.
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[8]. Victor, O. C, (2013). Impact of Insurance on Economic Growth in Nigeria, International Journal of Business and Management Invention, 2(10), 34-40.
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[16]. Hartono, H., Suparto, S., & Hassan, A. (2021). Language: a Mirror’ of the Culture and its Application English Language Teaching. Linguistics and Culture Review, 5(1), 93-103. https://doi.org/10.37028/lingcure.v5n1.835
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[19]. Mojekwu, J. N. Agwuegbo, S. O & Olowokudejo, F. F. (2011). The Impact of Insurance Contribution on Economic Growth in nigeria. Journal of Economic and International Finance, 3(7), 444-451.
[20]. Pen, F., Chin, C. & Chin, F. (2011). How Does the Development of the Life Insurance Market Affect Economic Growth? Some International Evidence. Journal International Development.
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[22]. Lyndon, M. E. (2019). Insurance Sector Development and Economic Growth in Nigeria: An Empirical Analysis. International Journal of Development and Economic Sustainability, 7 (4), 34-48.
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[24]. Guochen, P. N., & Chiwei, S. U. (2012). The Relationship Between Insurance Development and Economic Growth: A Cross-Regional Study for China In: Z. Wenyuan (Ed.), China International Conference on Insurance and Risk Management, 1-22. Qingdao: China Center for Insurance and Risk Management.
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[29]. Ibegbulem, H. O. (2021). The Language of Indemnification and the Economic Growth of Nigeria: Perspectives from Assurance Firms. Linguistics and Culture Review, 5 (3), 41-54.
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Assessment of the Internet Addiction Disorder and its Association with Anxiety and Depression in Young Indian Adults: A Cross Sectional StudyAuthor: Shilendra PandeyDOI: 10.21522/TIJAR.2014.11.02.Art014
Assessment of the Internet Addiction Disorder and its Association with Anxiety and Depression in Young Indian Adults: A Cross Sectional Study
Abstract:
The phenomenon of involuntary engagement with internet devices, accompanied by a sense of emptiness in their absence, characterizes internet addiction disorder. A comprehensive meta-analysis spanning 80 studies worldwide from 1996 to 2012, involving 89,281 participants across 31 countries, revealed a 6% prevalence of this disorder among young individuals globally. A separate study funded by the Indian Council of Medical Research (ICMR) investigated 2,755 participants aged 18-65 in India, finding a prevalence rate of 1.3% for internet addiction. Notably, this disorder has not yet been recognized as Internet Addiction Disorder (IAD) in the Diagnostic and Statistical Manual of Mental Disorders (DSM). Numerous studies have examined the prevalence of internet addiction in the Indian population. This current study aimed to assess the prevalence, impact, and available treatment options for internet addiction among Indian adults. Utilizing a cross-sectional, close-ended online survey questionnaire distributed among the general public and experts, a total of 303 responses were collected. The findings revealed that 33.3% of Indian adults were addicted to the internet, with varying degrees of severity: severely (1.7%), moderately (10.2%), and mildly (20.8%) addicted. Notably, most severely addicted individuals (80%) fell within the 26-35 years age range. Male participants exhibited a higher prevalence of internet addiction compared to females (57.1% vs. 42.9%), with males also displaying a greater propensity for addiction (71.9% vs. 28.1%). Further analysis indicated that 11.2% of addicted individuals experienced symptoms of anxiety and/or depression, with males affected at a rate 50% higher than females.
Assessment of the Internet Addiction Disorder and its Association with Anxiety and Depression in Young Indian Adults: A Cross Sectional Study
References:
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[2]. Davis, R. A. (2001). A Cognitive-Behavioral Model of Pathological Internet Use. Computers in human behavior, 17(2), 187-195.
[3]. Weinstein, A., & Lejoyeux, M. (2010). Internet Addiction or Excessive Internet Use. The American Journal of Drug and Alcohol Abuse, 36(5), 277-283
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[5]. Bener, A., Al-Mahdi, H. S., Ali, A. I., Al-Nufal, M., Vachhani, P. J., & Tewfik, I. (2011). Obesity and Low Vision as A Result of Excessive Internet Use and Television Viewing. International Journal of Food Sciences and Nutrition, 62(1), 60-62.
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[7]. Beutel, M. E., Brähler, E., Glaesmer, H., Kuss, D. J., Wölfling, K., & Müller, K. W. (2011). Regular and problematic leisure-time internet use in the community: results from a german population-based survey. Cyberpsychology, Behavior, and Social Networking, 14(5), 291-296.
[8]. Sung, J., Lee, J., Noh, H. M., Park, Y. S., & Ahn, E. J. (2013). Associations Between the Risk of Internet Addiction and Problem Behaviors Among korean adolescents. Korean journal of family medicine, 34(2), 115.
[9]. Poli, R., & Agrimi, E. (2012). Internet Addiction Disorder: Prevalence In an Italian Student Population. Nordic Journal of Psychiatry, 66(1), 55-59.
[10]. Ha, J. H., Yoo, H. J., Cho, I. H., Chin, B., Shin, D., & Kim, J. H. (2006). Psychiatric Comorbidity Assessed In Korean Children And Adolescents Who Screen Positive For Internet Addiction. Journal of Clinical Psychiatry, 67(5), 821.
[11]. Ko, C. H., Yen, J. Y., Chen, C. S., Yeh, Y. C., & Yen, C. F. (2009). Predictive Values of Psychiatric Symptoms for Internet Addiction in Adolescents: A 2-Year Prospective Study. Archives of pediatrics & adolescent medicine, 163(10), 937-943.
[12]. Morrison, C. M., & Gore, H. (2010). The Relationship Between Excessive Internet Use and Depression: A Questionnaire-Based Study of 1,319 young people and adults. Psychopathology, 43(2), 121-126.
[13]. Canan, F., Ataoglu, A., Ozcetin, A., & Icmeli, C. (2012). The Association Between Internet Addiction and Dissociation Among Turkish College Students. Comprehensive Psychiatry, 53(5), 422-426.
[14]. Kheyrkhah, F. G. H. A. B. E. L. I., GHABELI, J. A., & Gouran, A. (2010). Internet Addiction, Prevalence and Epidemiological Features in Mazandaran Province, Northern Iran.
[15]. Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C. C., Chen, K. C., Yang, Y. C., & Yang, Y. K. (2009). The Risk Factors of Internet Addiction—A Survey of University Freshmen. Psychiatry Research, 167(3), 294-299.
[16]. Demetrovics, Z., Szeredi, B., & Rózsa, S. (2008). The three-factor model of Internet addiction: The development of the Problematic Internet Use Questionnaire. Behavior research methods, 40, 563-574.
[17]. Bergmark, K. H., Bergmark, A., & Findahl, O. (2011). Extensive internet Involvement—Addiction or Emerging Lifestyle? International Journal of Environmental Research and Public Health, 8(12), 4488-4501.
[18]. Lam, L. T., Peng, Z., Mai, J., & Jing, J. (2009). The Association Between Internet Addiction and Self-Injurious Behaviour Among Adolescents. Injury prevention, 15(6), 403-408.
[19]. Bakken, I. J., Wenzel, H. G., Götestam, K. G., Johansson, A., & Øren, A. (2009). Internet addiction among Norwegian adults: A Stratified Probability Sample Study. Scandinavian Journal of Psychology, 50(2), 121-127.
[20]. Lin, M. P., Ko, H. C., & Wu, J. Y. W. (2011). Prevalence And Psychosocial Risk Factors Associated with Internet Addiction in A Nationally Representative Sample of College Students in Taiwan. Cyberpsychology, Behavior, and Social Networking, 14(12), 741-746.
[21]. Cheng, C., & Li, A. Y. L. (2014). Internet Addiction Prevalence and Quality Of (Real) Life: A Meta-Analysis Of 31 Nations Across Seven World regions. Cyberpsychology, Behavior, and Social Networking, 17(12), 755-760.
[22]. Sharma, M. K., Rao, G. N., Benegal, V., Thennarasu, K., & Thomas, D. (2017). Technology Addiction Survey: An Emerging Concern for Raising Awareness and Promotion Of Healthy Use Of technology. Indian Journal of Psychological medicine, 39(4), 495-499.
[23]. Sharma, A., & Sharma, R. (2018). Internet Addiction and Psychological Well-Being Among College Students: A Cross-Sectional Study from Central India. Journal Of Family Medicine and Primary Care, 7(1), 147.
[24]. Rajanna, S. H., & Sharma, M. K. (2016). Exploration Of Technology Use Pattern Among Teenagers and Its Relationship with Psychological Variables. Asean Journal of Psychiatry, 239-249.
[25]. Guan, S. S. A., & Subrahmanyam, K. (2009). Youth Internet use: Risks and Opportunities. Current Opinion in Psychiatry, 22(4), 351-356.
[26]. Yang, G., Cao, J., Li, Y., Cheng, P., Liu, B., Hao, Z., ... & Ren, Z. (2019). Association Between Internet Addiction and The Risk of Musculoskeletal Pain In Chinese College Freshmen–a Cross-Sectional Study. Frontiers in Psychology, 10, 1959.
[27]. Güneş, M., Demirer, B., & Şimşek, A. (2023). The Relationship Between Internet Addiction with Eating Disorders and Musculoskeletal Health Among University Students. Journal of Public Health, 31(12), 2115-2121.
[28]. Li, G., & Dai, X. Y. (2009). Control Study of Cognitive-Behavior Therapy in Adolescents With internet addiction disorder. Chinese mental Health Journal.
[29]. Tamura, H., Nishida, T., Tsuji, A., & Sakakibara, H. (2017). Association between Excessive Use of Mobile Phone and Insomnia and Depression Among Japanese Adolescents. International Journal of Environmental Research and Public Health, 14(7), 701.
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[32]. Dell Osso, B., Hadley, S., Allen, A., Baker, B., Chaplin, W. F., & Hollander, E. (2008). Escitalopram in the Treatment of Impulsive-Compulsive Internet Usage Disorder: An Open-Label Trial Followed by A Double-Blind Discontinuation Phase. Journal of Clinical Psychiatry, 69(3), 452.
[33]. Choi, K., Son, H., Park, M., Han, J., Kim, K., Lee, B., & Gwak, H. (2009). Internet Overuse and Excessive Daytime Sleepiness in Adolescents. Psychiatry And Clinical Neurosciences, 63(4), 455-462.
[34]. Greenfield, D. N. (2000). Suchtfalle Internet: Hilfe für Cyberfreaks, Netheads Und Ihre Partner. Walter
[35]. Lanjun, Z. (2009). The Applications of Group Mental Therapy and Sports Exercise Prescriptions In The Intervention Of Internet Addiction Disorder. Psychological Science (China), 32(3), 738-41.
[36]. Burke, B. L., Arkowitz, H., & Menchola, M. (2003). The Efficacy of Motivational Interviewing: A Meta-Analysis of Controlled Clinical trials. Journal of Consulting and Clinical Psychology, 71(5), 843.
[37]. Meyers, R. J., & Miller, W. R. (Eds.). (2001). A Community Reinforcement Approach to Addiction Treatment. Cambridge University Press
[38]. Miller, N. H. (2010). Motivational Interviewing as A Prelude to Coaching in Healthcare Settings. Journal of cardiovascular Nursing, 25(3), 247-251.
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[40]. Twohig, M. P., & Crosby, J. M. (2010). Acceptance And Commitment Therapy as A Treatment for Problematic Internet Pornography Viewing. Behavior Therapy, 41(3), 285-295.
[41]. Grill JD, Bateman RJ, & Buckles VA (2015). Survey of Attitudes Toward Clinical Trials and Genetic Disclosure in Autosomal Dominant alzheimer’s disease. Alzheimer's Research & Therapy. 7: 50
[42]. Smith, S. K., Selig, W., Harker, M., Roberts, J. N., Hesterlee, S., Leventhal, D., & Abernethy, A. P. (2015). Patient Engagement Practices in Clinical Research Among Patient Groups, Industry, And Academia in The United States: a Survey. PloS ONE, 10(10), e0140232.
[43]. Marcano Belisario JS, Jamsek J, Huckvale K, O'Donoghue J, Morrison CP, & Car J. (2015). Comparison of Self-Administered Survey Questionnaire Responses Collected Using Mobile Apps Versus Other Methods. Cochrane Database of Systematic Reviews, Issue 7. Art. No.: MR000042.
[44]. Young, K. S. (1999). Internet Addiction: Symptoms, Evaluation, And Treatment. Innovations in Clinical Practice [serial on the Internet]. 1999; 17.
[45]. Kroenke, K., Spitzer, R. L., Williams, J. B., & Löwe, B. (2009). An Ultra-Brief Screening Scale for Anxiety and Depression: The PHQ–4. Psychosomatics, 50(6), 613-621.
[46]. Goel, D., Subramanyam, A., & Kamath, R. (2013). A study on the Prevalence of Internet Addiction and Its Association with Psychopathology in Indian Adolescents. Indian Journal of Psychiatry, 55(2), 140.
[47]. Zou, Y., Xia, N., Zou, Y., Chen, Z., & Wen, Y. (2019). Smartphone Addiction May Be Associated with Adolescent Hypertension: a cross-Sectional Study Among Junior School Students in China. BMC Pediatrics, 19, 1-8.
[48]. Lee, H. W., Choi, J. S., Shin, Y. C., Lee, J. Y., Jung, H. Y., & Kwon, J. S. (2012). Impulsivity in Internet Addiction: A Comparison With pathological gambling. Cyberpsychology, Behavior, And Social Networking, 15(7), 373-377.
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Adaptive Study Design Methodology vs. Standard Randomized Clinical Trial in Different Therapeutic Area: A ReviewAuthor: Srividhya NarasimhanDOI: 10.21522/TIJAR.2014.11.02.Art015
Adaptive Study Design Methodology vs. Standard Randomized Clinical Trial in Different Therapeutic Area: A Review
Abstract:
The aim of this review is to explore the learning outcome and understanding how the adaptive study design helps in current scenario of drug development in various therapeutic areas compared to traditional randomized clinical trials with respect to Dose Finding, identification of Maximum tolerated dose (MTD), fewer subjects, short duration, increases success rate of study objective, yields better knowledge of treatment effect like better estimates of sub-group effects or dose-response relationship. One of the major advantage of this study design is that potential changes are approved prior hand by regulatory authorities and ethics committee, hence there is no need to submit the protocol amendment and also logistics for the change in treatment is also planned upfront and researchers are given full flexibility to respond towards unexpected events and there are several options proposed upfront to introduce any new doses, amend endpoints. The conclusion is that the use of Adaptive designs appears to be increasing in certain diseases and in some of the diseases it is still underutilised. FDA and other regulators, researchers are still exploring how and the extent to which they may be incorporated into the evaluation of experimental therapies bearing in mind that focus will be mainly in feasibility, validity, flexibility, integrity and efficiency. As the new regulatory guideline are already established, future investigations of adaptive designs could examine ongoing dynamics in trials and based on this project, there are some suggestions to be given to the researchers to include the adaptive design or methodology to be indicated in the study title which certainly helps to retrieve the data easily.
Adaptive Study Design Methodology vs. Standard Randomized Clinical Trial in Different Therapeutic Area: A Review
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Technology Adoption by Rural Women: A Unified Theory of Acceptance and Use of Technology (UTAUT2) AnalysisAuthor: Ashley Eve KudiwaDOI: 10.21522/TIJAR.2014.11.02.Art016
Technology Adoption by Rural Women: A Unified Theory of Acceptance and Use of Technology (UTAUT2) Analysis
Abstract:
This article analyses the factors that affect the adoption of technology by rural women in the Umguza district of Zimbabwe. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, provides the theoretical framework for understanding the factors that influence rural women’s adoption of technology. By situating the investigation within the UTAUT2 framework, the study seeks to offer a more refined understanding of the determinants affecting technology adoption among rural women and the implications for inclusivity. A deductive approach was used, and information was collected through a survey of 250 rural women in the 19 wards of Umguza district, as well as reviewing secondary data in the form of government, non-governmental, industry reports and scholarly articles. Regression analysis was used to draw insights into the factors influencing the adoption of technology by rural women. The study concluded that Performance Expectancy (PE), Facilitating conditions (FC), Social Influence (SI) and Effort Expectancy (EE) influence technology adoption by rural women in Zimbabwe. However, Hedonic Motivation (HM), Price Value (PV) and Habit (HT) were found not to influence the decision to adopt the technology. The results of this study help to shed light on the factors affecting technology adoption among rural women and map strategies to promote technology adoption. The recommendations from this study can provide insights to government, private sector, and civil society seeking to promote the adoption of technology by rural women and contribute to the body of research on digitalisation and adoption of technology by rural women.
Technology Adoption by Rural Women: A Unified Theory of Acceptance and Use of Technology (UTAUT2) Analysis
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