Social Media & Privacy: Understanding Privacy in The Age of Content Creator Culture

In today\u27s digital age, content creators are gaining public attention and becoming highly influential. With that increased influence, it is important to acknowledge the privacy concerns within this culture. This interpretive research study seeks to identify and understand the dynamics of privacy within the content creator culture. This research will leverage information from interviews with content creators from various social media platforms such as YouTube, Instagram, Facebook, and TikTok. Using theories to understand the phenomena, theories of privacy calculus, privacy paradox and self-disclosure, will be used to view how content creators define and navigate privacy, strategies employed to control personal information sharing, and measures set in place to address privacy concerns. The findings of this research will fill a gap in the literature by providing a comprehensive understanding of privacy dynamics within the content creator culture. This knowledge will not only contribute to academic discussions but also inform the development of practical guidelines and recommendations for content creators, social media platforms, and policymakers to ensure a balance between content sharing and privacy protection

Digital Transformation of SMEs through social media

This research paper explores the strategic integration of social media platforms by Small and Medium-sized Enterprises (SMEs) in Low- and Middle-Income Countries (LMICs) beyond marketing. Drawing from Resource-Based View and Dynamic Capabilities theories, the study investigates how social media enhances management, coordination, and control functions. Through five diverse case studies from Ghana, findings reveal SMEs’ innovative use of platforms like Instagram, WhatsApp, Slack, and Trello. These platforms foster efficient internal communication, customer engagement, project management, and talent acquisition. Challenges such as technical expertise and dynamic digital landscapes are identified

Selecting start-up businesses in a public Venture capital financing using Fuzzy PROMETHEE

Public Venture Capital financing often fail rigorous scrutiny in their selection of high-potential start-ups as compared to Private Venture capital. In some developing countries, decision making on final selection for financial support of early stage but high potential Small and Medium sized Enterprises (SMEs) are often 'clouded' by several factors including consideration of political party affiliations. This results in low capital recovery rate and a mischance in choosing deserving start-ups. This paper applies Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (Fuzzy PROMETHEE) method to evaluate and select early-stage but high potential start-up businesses in a government high priority area such as in Information and Communications Technology. A numerical example with pre-defined linguistic terms parameterized by triangular fuzzy numbers is provided. The framework could serve as a useful tool for decision makers in scrutinizing selection of start-ups in other government priority areas. © 2015 The Authors. Published by Elsevier B.V.MSMT-7778/2014, NPU, Northwestern Polytechnical Universit

Rationalizing Online Romance Fraud: In the Eyes of the Offender

This study seeks to understand romance scam from the offenders\u27 perspective and how they rationalize their motivations, opportunities and abilities towards the commission of the crime. To this end, we adopt the Motivation-Opportunity-Ability framework and the Rationalization dimension of the Fraud Triangle Theory. The study employed a qualitative methodological approach to analyze the opportunities presented by emerging technologies to cyber fraudsters amid socio-economic drivers. One is the interplay of various socio-economic factors being a major driving force behind the commission of cybercrime. These include peer recruitment and training, poverty, unemployment, low level of education and low income. The uniqueness of this study stems from the fact that it deviates from previous studies to investigate cybercrime from the perspective of the perpetrators. Again, this study is arguably one of the first to put all three dimensions of the MOA framework and the rationalization dimension of the Fraud Triangle to study romance scammers\u27 behaviors

Big Data Evaluation Scorecard

This study seeks to examine the evolution of issues that have been espoused by both junior and senior scholars to aggregate out of literature, a criterion that can guide firms in evaluating their Big data analytic (BDA) projects. The systematic review approach took stock of varied socio-technical understanding, requirements, and capabilities used in addressing Big data issues and synthesized these issues for value accruals. The study strongly argues that Big data benefits accrue to firms whose economic activities require distributed collaborative effort, operational visibilities, cost, and time-sensitive decisions who adopt and implement the concept in their strategic, tactical, and operational levels. Though the trend shows steady growth in scholars’ interests and expectations in BDA, a significant percentage of the reviewed studies were not informed by any theory. The study contributes to BDA literature by affording scholars issue gaps and for practitioners, an analytical competency and evaluation scorecard that links strategic business goals to operational outcomes

A Conceptual Framework for Integrating TPB With Context-Relevant Variables to Predict e-Learning Success During the Covid -19 Pandemic

The COVID-19 pandemic has necessitated the digitalization of some aspects of our lives including education. However, as we witness a phenomenal rise in the demand for online learning, the decision to migrate to online learning platforms is dependent on the learner’s preparedness to embrace it. The objective of this study is to conceptualize a framework that measures the tendency of learners to adopt online learning in an era characterised by so many disruptions. To do this, we adopt document analysis on databases such as SCOPUS, Web of Science, EBSCO and Google Scholar using Boolean search engines; AND, OR, NOT, *, (), ‘’’’, +, -, &lt;,&gt;. mainly on current scientific manuscripts through the use of the keywords “e-learning”, “theory of planned behaviour”, “Covid 19”, “distance learning”, “environmental factors” and “academic technology adoption”. Subsequently, we integrate the theory of planned behaviour with other context-relevant variables as the bases of the study, and conceptualise a framework to predict e-learning success in the covid-19 era. This study contributes to the scientific body of knowledge on e-learning, particularly from the perspective of a forced mass adoption of e-learning occasioned by a global pandemic.</p

Exploring roles of females in contemporary socio-politico-economic governance: An association rule approach

Undeniably, the engagement of females in socio-politico-economic activities of most countries in the world, especially in developing economies, is far less than males. Although females form the majority in most developing countries, they are rarely engaged in the discourse of cogent developmental issues. The rising interest of females in political and socio-economic discourse, especially in the western world, has sparked female interest in the governance structure of developing countries. Subsequently, with an increased penetration of the Internet and social media, the contribution of females to governance has even assumed a new level. Using primary data collected from six Sub-Saharan African (SSA) countries, the paper identifies relationships of females’ interest in socio-politico-economic governance on the countries surveyed. This paper equally digested a repertoire of data from relevant secondary sources on female involvement in the political landscape of SSA countries. To unravel some key relationships amongst the variables of interest in the study, we have used association rules (data mining technique). One of our key findings appears to indicate that the interest of females in political discourse is highly associated with the level of trust respondents have in the governance and leadership of the countries

Who is marginalized in energy justice? Amplifying community leader perspectives of energy transitions in Ghana

There is a divide in energy access studies, between technologically-focused modeling papers in engineering and economics, and energy justice frameworks and principles grounded in social sciences. Quantitative computational models are necessary when analyzing energy, and more specifically electricity, systems, as they are technologically-complex systems that can diverge from intuitive patterns. To assure energy justice, these models must be reflective of, and informative to, a wide range of stakeholders, including households and communities alongside utilities, governments, and others. Yet, moving from a qualitative understanding of preferences to quantitative modeling is challenging. In this perspective piece, we pilot the use of the value-focused thinking framework to inform stakeholder engagement. The result is a strategic objective hierarchy that highlights the tradeoffs and the social, economic and technological factors that need to be measured in models. We apply the process in Ghana, using a survey, stakeholder workshops, and follow-up interviews to uncover key tradeoffs and stakeholder-derived objectives. We discuss three key areas that have been rarely, if ever, well-represented in energy models: (1) the relationship between the dynamics of electricity end-use and the technology and economic structure of the system; (2) explicit tradeoffs between electricity access, cost, and reliability as defined by stakeholders; and (3) the definition of new objectives, such as minimizing hazards related to theft. We conclude that this model of engagement provides an opportunity to tie together rigorous qualitative analysis and stakeholder engagement with crucial quantitative models of the electricity system