Annals of Spiru Haret University
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Policy (In)Consistency and Sustainable Development Goals in Africa: A Systematic Literature Review
The attainment of Sustainable Development Goals hinges on the alignment of SDGs policies. This systematic literature review delves into the intricate relationship between policy inconsistency and sustainable development goals in Africa. Through this study, we unveil the challenges, implications, and the potential pathways that emerge at the intersection of policies and the quest for sustainable development in Africa. Our investigation takes a close look at the diverse dimensions of policy coherence, encompassing economic, social, and environmental considerations, and how these dimensions impact the progress of SDGs. Employing a systematic review approach, we meticulously filtered through 1745 results from databases, selecting 353 articles for a comprehensive analysis. Our findings underscore the significant role that policy inconsistency plays in impeding the attainment of SDGs in Africa. We propose an approach anchored on the alignment of SDGs policies and each goal of SDGS for the attainment of the 2030 SDGs agenda in Africa
DIGITAL RIGHT MANAGEMENT: SAFEGUARDING COPYRIGHT IN THE CYBER ERA
Copyright infringement is commonly perceived as a private economic transgression, typically addressed through private legal actions and remedies. The advent of digitalization, encompassing copyrighted works such as text, music, and video, has enhanced unauthorized reproduction. The ubiquity of the Internet enables infringers to replicate thousands of copyrighted works at minimal cost.
This article outlines the methodologies of digital rights management (DRM), clarifying its protective mechanisms and highlighting the adverse consequences associated with DRM implementation. As a technological framework, DRM is specifically engineered to prevent unauthorized copying of digital content. It assumes a pivotal role in safeguarding content exchanges within the digital landscape, thereby minimizing copyright infringement and plagiarism. The paper further explains potential future trends in copyright protection and the evolving landscape of DRM
CARBON ACCOUNTING IN THE CIRCULAR ECONOMY
Carbon accounting in the circular economy became a priority for the professional organisations because climate changes are an important issue on international level and carbon emissions are increasing across the globe.
Research on carbon accounting is a new area, but public or private entities must quantify their greenhouse gas emissions in order to reduce operational costs, and to improve operational efficiency.
Carbon accounting and professional organisations can provide leadership and explain what needs to change within organisations in order to achieve carbon emission reductions at the pace and scale that is required.
IASB (International Accounting Standards Board) is actively seeking to embed carbon accounting into current accounting practice and to develop standards for reporting on carbon emissions. Professional accountants will play a central role in helping managers to integrate climate and other environmental and social value into traditional reporting. The governments and professional organisations are working together in preparing for and delivering carbon reduction and net zero targets. The European Union has already set targets to reduse greenhouse gas emissions by 2050
Impression Management at Work: Intentions of Casual Workers: Impression Management at Work: Intentions of Casual Workers
The purpose of this study was to investigate why casual employees at a global firm in Zimbabwe engaged in impression management. This exploratory qualitative study investigated casual workers’ intention for engaging in impression management at the case global firm in Zimbabwe using the interpretivism research philosophy. Face to face, semi-structured interviews were used to collect data from ten research participants who had been employed by the global firm in Zimbabwe for a minimum of five months. The study found that casual workers at the case global firm in Zimbabwe are driven to control their work impressions to preserve their good reputation, build social capital, and accomplish career-related objectives including moving up the corporate ladder, receiving high performance reviews, obtaining a permanent position, and getting promoted. Therefore, as it is, casual workers at the case global firm in Zimbabwe use impression management tactics with the overall aim of maintaining job security. The current study recommends that casual workers should identify the circumstances in which impression management is most appropriate and make an effort to become more aware of when and how often to manage impressions. They could do this by practicing self-monitoring, receiving feedback, or participating in other professional development activities. The study also urges managers at the global firm in Zimbabwe to encourage workers to utilize impressions that are authentic and discourage employees from managing images that are destructive to the organization
INFLUENCE OF ABUSIVE SUPERVISION ON EMPLOYEES’ MORALE AT WORK: EVIDENCE FROM THE MANUFACTURING ORGANISATIONS IN NIGERIA
Organization is structured in such a way that people work together wherein some would be superiors and others would be subordinates which makes supervision a natural phenomenon while the quality of supervision will determine the result of operational activities daily. The study focused on the influence of abusive supervision on employee morale using the manufacturing sector as the unit of analysis, it identified the level of abusive supervision, the causes of abusive supervision, and the relationship between abusive supervision and employee morale. Yamane’s sample size formula was used to get the sample size of 310 while a multistage sampling technique was used to select the sample and administer the questionnaire. it was found that abusive supervision is high, caused by leadership styles, absence of an alternative job, and family demands and there exists an inverse relationship between abusive supervision, and employee morale with implications on employee and behavioural outcomes, and concluded that high abusive supervision heralds low job satisfaction, low commitment, and low loyalty thus, leading to decreased productivity, increased grievances, and increased turnover as well as hindering innovation and collaboration. Training was recommended to focus on supervision with empathy to improve interpersonal relationships and feelings of belongingness
DEVELOPMENT OF A SUSTAINABLE MARKETING SYSTEM WITH UNREAL ENGINE
This article explores the innovative integration of Unreal Engine, a powerful game development tool, in creating a sustainable marketing system. The Unreal Engine, known for its high-fidelity graphics and real-time rendering capabilities, has been increasingly utilized in various industries beyond gaming, including marketing and advertising. The focus of this paper is on how the engine’s advanced features, particularly its Artificial Intelligence (AI) capabilities, can be leveraged to create immersive and engaging marketing experiences.
We delve into the use of Unreal Engine’s AI to personalize user interactions, ensuring that marketing content is tailored to individual preferences and behaviors. This personalization is achieved through the analysis of user data and the implementation of machine learning algorithms, which enable the system to learn and adapt over time. The use of AI also extends to the creation of intelligent virtual assistants and chatbots, providing real-time support and engagement to users.
The sustainability of the system is underscored by its ability to reduce the need for physical marketing materials and in-person events, leading to a decrease in the environmental footprint of marketing activities. Furthermore, the system’s adaptability ensures its long-term viability, as it can be easily updated and modified to suit changing market conditions and consumer preferences.
The article also addresses the challenges and ethical considerations associated with the use of AI in marketing, emphasizing the importance of transparency, data security, and user privacy. Best practices and guidelines for the responsible use of AI in marketing are discussed, providing a roadmap for organizations looking to implement similar systems.
In conclusion, the development of a sustainable marketing system with Unreal Engine represents a significant step forward in the integration of advanced technologies in marketing. The use of AI not only enhances user engagement and personalization but also contributes to the sustainability and efficiency of marketing activities. As the industry continues to evolve, the insights gained from this implementation will be invaluable in shaping the future of sustainable and tech-driven marketing strategies
Teleworking and Employees’ Brand Ambassador; Using Academic Staff of Ogun State Institute of Technology, Igbesa, Ogun State as a Study.
The study examined teleworking and employee’s brand ambassador using academic staff of Ogun State Institute of Technology, Igbesa as a focus. The research population was 136, and the sample size was 102 staff of the total population which consisted of both senior and junior staff. Multistage sampling technique was adopted in this study; which was stratified and simple random sampling techniques. A total of 102 copies of the questionnaire were administered while a total of 98 copies of the questionnaire were received from respondents and 95 copies were valid for data analysis. The 10-items measuring instruments were tested using test-retest reliability by administering the test once and then administering the same test again three weeks after the first administration. The hypotheses formulated for the study were analysed using Pearson Correlation Analysis. The findings revealed that teleworking had significant positive relationship with employee’s brand ambassador (r –statistics 0.611), P – values (0.000). The study recommended that managers should encourage teleworking among their employee so as to improve the organisation’s brand.
Keywords: Employee’s Brand Ambassador, Employee’s Engagement, Teleworking.
JEL CODE: M1
New Business Models in Agroecology: Study Case - Innovation Hub Bio Danubius as Private (Voluntary) Standards Based on Indicators
Agroecology is a new area of knowledge and emerging body of experience linking in a transdisciplinary manner, experiments, research, and action-oriented innovations targeting enhanced food systems’ resilience, environmental and socio-economic sustainability at the farm, organizational and institutional levels. Authors view is that applying ecological principles and social values to agricultural production and consumption has to have a market recognition. This paper investigates in which conditions agroecology can also offer new business models that are more inclusive, diverse, and profitable for farmers and other food system actors especially those small farmers actioning in a regional context and willing to cooperate to co-create new business models. These business models involve the adoption of innovations such as integrated management, organic fertilizers, participatory guarantee systems, and collective marketing in a regional value chain perspective. The paper investigates as well some pathways to agroecology developed in IH Bio Danubius, a regional cluster already engaged in organic agricultural practices and willing to further embrace new agroecological principles. One important pathway, in wich our research is conducted are conditions under which private (voluntary) standards based on indicators can meet market requirement through a viable business model
AN ASSESSMENT OF THE COVID-19 PANDEMIC IN SOUTH AFRICA:: FROM ITS IMPACT ON THE ECONOMY TO THE REBUILDING STRATEGY
The conventional understanding is that the coronavirus pandemic (Covid-19) has challenged the development of the economies at all levels – global, regional and domestic. The need to assess its damage to the South African economy became imperative if the economy has to be resuscitated in an informed and targeted way. The study therefore aimed at assessing the impact of the Covid-19 Pandemic in South Africa, assessing the effectiveness of the South African government response to Covid-19 and outlining government strategies that have been employed in an effort to rebuild the South African economy. The study utilised the qualitative research approach in which semi-structured interviews were used to collect information on a purposive sample of 12 participants. Through the use of thematic analysis as the data analysis method, the study discovered that the Covid-19 pandemic has both long-term and short-term impacts on the South African economy such as loss of employment, contracting GDP, depressed growth below pre-pandemic projections and lack of organisational performance. In response to Covid-19, the government introduced supporting programmes to businesses, regulations aimed at allowing credit facilities and partnership with various stakeholders. Strategies such as expansionary monetary strategies and the introduction of specific programmes targeting the resuscitation of key economic sectors have been implemented to rebuild the economy. The study, therefore, recommends that the government needs to build a buffer of resources in preparation of devastating pandemics such as Civid-19, such that when the country is hit by the pandemic, there are avenues that can be explored to resuscitate the economy. There is also need to ensure that there is a platform where business organisations can flourish as they can access capital and resources
AI NLP-GPT MODELS: CHALLENGES AND PROSPECTS IN BUSINESS DECISION REALMS
This paper represents a natural progression in the ongoing investigation into the potentials and challenges associated with the application of AI NLP GPT models for decision support. Building upon the foundation laid by the prior study titled "Conceptual Analysis and Potential Applications of DL NN Transformer and GPT Artificial Intelligence Models for the Transformation and Enhancement of Enterprise Management, EIS/ESS, and Decision Support Integrated Information Systems," the current work serves as a valuable continuum, providing further insights and validation of previous research findings. The study not only reaffirms the robustness of AI models in structured environments but also ventures into exploring their limitations when confronted with unstructured and non-pretrained scenarios inherent in real-world business decision-making. Through an in-depth conceptual analysis, the paper sheds light on the intricacies and potential shortcomings of deploying AI models in such dynamic and complex decision-making contexts. This iterative approach contributes to a more nuanced understanding of the capabilities and constraints of contemporary AI systems, providing valuable guidance for their practical implementation in diverse business scenarios.
In essence, this work extends beyond a mere sequel, serving as a critical checkpoint in the continuous evolution of research in this domain. It accentuates the adaptability and real-world relevance of AI models while critically examining their applicability in less controlled decision-making environments