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1 – 3 of 3Christiaan Ernst (Riaan) Heyman
This study aims to, firstly, develop a red flag checklist for cryptocurrency Ponzi schemes and, secondly, to test this red flag checklist against publicly available marketing…
Abstract
Purpose
This study aims to, firstly, develop a red flag checklist for cryptocurrency Ponzi schemes and, secondly, to test this red flag checklist against publicly available marketing material for Mirror Trading International (MTI). The red flag checklist test seeks to establish if MTI’s marketing material posted on YouTube® (in the form of a live video presentation) exhibits any of the red flags from the checklist.
Design/methodology/approach
The study uses a structured literature review and qualitative analysis of red flags for Ponzi and cryptocurrency Ponzi schemes.
Findings
A research lacuna was discovered with regard to cryptocurrency Ponzi scheme red flags. By means of a structured literature review, journal papers were identified that listed and discussed Ponzi scheme red flags. The red flags from the identified journal papers were subsequently used in a qualitative analysis. The analyses and syntheses resulted in the development of a red flag checklist for cryptocurrency Ponzi schemes, with five red flag categories, containing 18 associated red flags. The red flag checklist was then tested against MTI’s marketing material (a transcription of a live YouTube presentation). The test resulted in MTI’s marketing material exhibiting 88% of the red flags contained within the checklist.
Research limitations/implications
The inherent limitations in the design of using a structured literature review and the lack of research regarding the cryptocurrency Ponzi scheme red flags.
Practical implications
The study provides a red flag checklist for cryptocurrency Ponzi schemes. The red flag checklist can be applied to a cryptocurrency investment scheme’s marketing material to establish if it exhibits any of these red flags.
Social implications
The red flag checklist can be applied to a cryptocurrency investment scheme’s marketing material to establish if it exhibits any of these red flags.
Originality/value
The study provides a red flag checklist for cryptocurrency Ponzi schemes.
Details
Keywords
Asif Hussain Samo, Moomal Baig Bughio, Quratulain Nazeer Ahmed, Muzafar Ali Shah and Shafique Ahmed
The literature on leadership is quite extensive; however, this study explains the impact of leadership styles on career success, career competence and career adaptability in the…
Abstract
Purpose
The literature on leadership is quite extensive; however, this study explains the impact of leadership styles on career success, career competence and career adaptability in the health sector. It explains the impact of servant leadership on career competence and career adaptability with a serial mediating impact of psychological safety and proactive behavior as well as self-efficacy and proactive behavior.
Design/methodology/approach
It is a quantitative study, and it tested the suggested model in hospitals in Pakistan. The data were collected from 310 health practitioners from the hospitals, and it was analyzed with partial least square structural equation modeling.
Findings
The findings suggest that psychological safety and proactive behavior serially mediate the impact of servant leaders on career competence and career adaptability; hence, servant leadership tends to increase career competence and career adaptability of individuals. One more serial mediation has been tested with positive results between servant leadership and career competence and career adaptability.
Originality/value
The study takes a very well theoretically linked model which tests the serial mediating path of servant leadership to career competencies and career adaptability.
Details
Keywords
Daragh O'Leary, Justin Doran and Bernadette Power
This paper analyses how firm births and deaths are influenced by previous firm births and deaths in related and unrelated sectors. Competition and multiplier effects are used as…
Abstract
Purpose
This paper analyses how firm births and deaths are influenced by previous firm births and deaths in related and unrelated sectors. Competition and multiplier effects are used as the theoretical lens for this analysis.
Design/methodology/approach
This paper uses 2008–2016 Irish business demography data pertaining to 568 NACE 4-digit sectors within 20 NACE 1-digit industries across 34 Irish county and sub-county regions within 8 NUTS3 regions. A three-stage least squares (3SLS) estimation is used to analyse the impact of past firm deaths (births) on future firm births (deaths). The effect of relatedness on firm interrelationships is explicitly modelled and captured.
Findings
Findings indicate that the multiplier effect operates mostly through related sectors, while the competition effect operates mostly through unrelated sectors.
Research limitations/implications
This paper's findings show that firm interrelationships are significantly influenced by the degree of relatedness between firms. The raw data used to calculate firm birth and death rates in this analysis are count data. Each new firm is measured the same as another regardless of differing features like size. Some research has shown that smaller firms have a greater propensity to create entrepreneurs (Parker, 2009). Thus, it is possible that the death of differently sized firms may contribute differently to multiplier effects where births induce further births. Future research could seek to examine this.
Practical implications
These findings have implications for policy initiatives concerned with increasing entrepreneurship. Some express concerns that public investment into entrepreneurship can lead to “crowding out” effects (Cumming and Johan, 2019), meaning that public investment into entrepreneurship could displace or reduce private investment into entrepreneurship (Audretsch and Fiedler, 2023; Zikou et al., 2017). This study’s findings indicate that using public investment to increase firm births could increase future firm births in related and unrelated sectors. However, more negative “crowding out” effects may also occur in unrelated sectors, meaning that public investment which stimulates firm births in a certain sector could induce firm deaths and crowd out entrepreneurship in unrelated sectors.
Originality/value
This paper is the first in the literature to explicitly account for the role of relatedness in firm interrelationships.
Details