Mona Taghavi, Kaveh Bakhtiyari, Hamed Taghavi, Vahhab Olyaee Attar and Aini Hussain
This research work aims to investigate the recent status of the information and communication technology (ICT) services industry in Iran. It proposes a systemic applicable…
Abstract
Purpose
This research work aims to investigate the recent status of the information and communication technology (ICT) services industry in Iran. It proposes a systemic applicable approach at policymaking level and appropriate strategic planning steps to enlighten developing countries toward achieving their target objectives of an information society.
Design/methodology/approach
Largely based on existing literature and usage statistics in ICT services, global technology trends and results from a survey to obtain consistent and up-to-date information about current issues of ICT services in the public and private sectors in Iran.
Findings
This study elaborates on all issues, points and best practices relevant to the ICT services industry in Iran which is addressed by recommending some documented policies.
Research limitations/implications
Majority of the experts who attended the workshop and responded to the questionnaire were service consumers rather than service providers.
Practical implications
This paper discusses some of the implications for the development of this ICT services strategy and provides policy recommendations.
Social implications
To enhance the information society with the most advanced ICT services for accelerating human development.
Originality/value
This study provides a government refining process policy to address the common gaps in the ICT services industry in these developing countries and emphasizes a formidable policy foundation before implementing and monitoring of the Flagship ICT projects.
Details
Keywords
Ahmed Patel, Kaveh Bakhtiyari and Mona Taghavi
This paper aims to focus on plagiarism and the consequences of anti‐plagiarism services such as Turnitin.com, iThenticate, and PlagiarismDetect.com in detecting the most recent…
Abstract
Purpose
This paper aims to focus on plagiarism and the consequences of anti‐plagiarism services such as Turnitin.com, iThenticate, and PlagiarismDetect.com in detecting the most recent cheatings in academic and other writings.
Design/methodology/approach
The most important approach is plagiarism prevention and finding proper solutions for detecting more complex kinds of plagiarism through natural language processing and artificial intelligence self‐learning techniques.
Findings
The research shows that most of the anti‐plagiarism services can be cracked through different methods and artificial intelligence techniques can help to improve the performance of the detection procedure.
Research limitations/implications
Accessing entire data and plagiarism algorithms is not possible completely, so comparing is just based on the outputs from detection services. They may produce different results on the same inputs.
Practical implications
Academic papers and web pages are increasing over time, and it is very difficult to capture and compare documents with all available data on the network in an up to date manner.
Originality/value
As many students and researchers use the plagiarism techniques (e.g. PDF locking, ghost‐writers, dot replacement, online translators, previous works, fake bibliography) to cheat in academic writing, this paper is intended to prevent plagiarism and find suitable solutions for detecting more complex kinds of plagiarism. This should also be of grave concern to teachers and librarians to provide up to date/standard anti‐plagiarism services. The paper proposes some new solutions to overcome these problems and to create more resilient and intelligent future systems.