ArticleHeliyon2024
Removing blurring for better understanding the main challenges facing digital entrepreneurs in the digital era: An empirical investigation study from emerging country.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Retraction · 2024-07-29Duplication of/in Article · Euphemisms for Duplication · Investigation by Journal/Publisher ·
- Retracted
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study is to examine the main challenges that these entrepreneurs in developing nations confront. This study utilizes a digital startup database maintained by the Ministry of Digital Economy and Entrepreneurship (MoDEE) in Jordan and conducts semi-structured interviews with a random selection of 85 early-stage digital entrepreneurs. In order to understand the cognitive and psychological characteristics of digital entrepreneurs and their motives for entering the field, this study draws on the theory of planned behavior. Using NVivo 20, a theme analysis is carried out. Based on the interviews conducted, the top industries among the startups that were looked at were big data and business analytics, internet-of-things (IoT), cybersecurity (CT) technology, food service and agri-tech, warehouse automation (WA) and elastic logistics (ELs), conversional artificial intelligence (CAI), financial technology (FinTech), and block chain technology (BCT). 42.5 % of the target population is represented by the large sample size that was used. These obstacles could include long-term funding, a dearth of one-on-one coaching and guidance, unforeseen risks or setbacks, and financial constraints. The study's conclusions may provide policymakers with a tactical manual for removing the main barriers that emerging digital entrepreneurs and their firms must overcome.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.