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

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

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

Open Government Data in Africa: A preference elicitation analysis of media practitioners

Open Government Data (OGD) continues to receive considerable traction around the world. In particular, there have been a growing number of OGD establishments in the developed world, sparking expectations of similar trends in growing democracies. To understand the readiness of OGD stakeholders in Africa especially the media, this paper (1) reviews current infrastructure at OGD web portals in Africa and (2) conducts a preference elicitation analysis among media practitioners in 5 out of the 7 OGD country centers in Africa regarding desired structure of OGD in developing countries. The analysis gives a view of the relative importance media practitioners ascribe to a selected set of OGD attributes in anticipation of a more functional OGD in their respective countries. Using conjoint analysis, the result indicates that media practitioners put premium on ‘metadata’ and ‘data format’ respectively in order of importance. Results from the review also reveal that features of current OGD web portals in Africa are not consistent with the desired preferences of users. Overall, the study provides a general insight into media expectations of OGD in Africa, and also serves as a foundational knowledge for authorities and practitioners to manage expectations of the media in connection with OGD in Africa. © 2017 Elsevier Inc.CZ.1.05/2.1.00/03.0089, ERDF, European Regional Development Fund; GACR P103/15/06700S, GACR, Grantová Agentura České Republiky; MSMT-7778/2014, MŠMT, Ministerstvo Školství, Mládeže a TělovýchovyGrant Agency of the Czech Republic - GACR [P103/15/06700S]; research project NPU I by Ministry of Education of the Czech Republic [MSMT-7778/2014]; European Regional Development Fund under Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2016/007

A decision making model for selecting start-up businesses in a government venture capital scheme

Purpose – The purpose of this paper is to propose an intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) multi-criteria decision making method for the selection of start-up businesses in a government venture capital (GVC) scheme. Most GVC funded start-ups fail or underperform compared to those funded by private VCs due to a number of reasons including lack of transparency and unfairness in the selection process. By its design, the proposed method is able to increase transparency and reduce the influence of bias in GVC start-up selection processes. The proposed method also models uncertainty in the selection criteria using fuzzy set theory that mirrors the natural human decision-making process. Design/methodology/approach – The proposed method first presents a set of criteria relevant to the selection of early stage but high-potential start-ups in a GVC financing scheme. These criteria are then analyzed using the TOPSIS method in an intuitionistic fuzzy environment. The intuitionistic fuzzy weighted averaging Operator is used to aggregate ratings of decision makers. A numerical example of how the proposed method could be used in GVC start-up candidate selection in a highly competitive GVC scheme is provided. Findings – The methodology adopted increases fairness and transparency in the selection of start-up businesses for fund support in a government-run VC scheme. The criteria set proposed is ideal for selecting start-up businesses in a government controlled VC scheme. The decision-making framework demonstrates how uncertainty in the selection criteria are efficiently modelled with the TOPSIS method. Practical implications – As GVC schemes increase around the world, and concerns about failure and underperformance of GVC funded start-ups increase, the proposed method could help bring formalism and ensure the selection of start-ups with high potential for success. Originality/value – The framework designs relevant sets of criteria for a selection problem, demonstrates the use of extended TOPSIS method in intuitionistic fuzzy sets and apply the proposed method in an area that has not been considered before. Additionally, it demonstrates how intuitionistic fuzzy TOPSIS could be carried out in a real decision-making application setting. © 2016, © Emerald Group Publishing Limited.Grant Agency of the Czech Republic [GACR P103/15/06700S]; project NPU I Ministry of Education of the Czech Republic [MSMT-7778/2014]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/FAI/2015/054

A TOPSIS extension framework for re-conceptualizing sustainability measurement

Purpose – The purpose of this paper is to propose a sustainability measurement and scoring system for assessing the efforts of organizations at meeting sustainability targets. Using technique for order preference by similarity to ideal solution (TOPSIS) as the basic framework, the proposed method incorporates all three sustainability dimensions – economic, environmental and social – to establish a threshold below which an organization is considered to have failed a sustainability test. In Addition, an introduction of a time-independent threshold enables a clearer comparison of performance of organizations over time. The proposed method includes plots for visualizing the sustainability performance of organizations under review. Design/methodology/approach – The proposed method first assigns target values to a hypothetical organization. TOPSIS is then used to generate composite scores in which the score of the hypothetical organization is set as the threshold below which organizations are deemed to have failed a sustainability test. Using the square of the closeness coefficient of TOPSIS, the final composite score is decomposed into three components to reflect the contribution of the three dimensions of sustainability to serve as a guide to determining which dimension to focus on for improvement. A relative comparison score is then proposed to track the performance of organizations over time. Findings – The proposed method with its ability to set a threshold is able to determine organizations that have passed a sustainability test from those that have failed. The tracking of organizational performance over time also serves to highlight progress being made by organizations to meet an agreed sustainability target. Results from the application of the proposed method for evaluating sustainability of banks under the three dimensions of sustainability highlight its practical applicability. The proposed method can also be applied to a wide range of comparison problems including make-or-by decisions and award selection. Practical implications – As most industries and organizations become conscious of the pressure to adopt sustainable practices, the proposed measuring system would help identify those that are meeting sustainability targets as well as to track their progress over time. Originality/value – Most sustainability measurement indicators rarely have thresholds to determine whether an organization has met or failed to meet a sustainability test other than ranking them from top to bottom. The proposed method provides a threshold as well as a procedure for tracking the sustainability performance of organizations over time. © 2016, Emerald Group Publishing Limited.Grant Agency of the Czech Republic [GACR P103/15/06700S]; research project NPU I by Ministry of Education of the Czech Republic [MSMT-7778/2014]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/FAI/2015/054