The Information Security Management Systems in E-Business

Bolek, Vladimír; Romanová, Anita; Korček, František

doi:10.4018/jgim.316833

Cited by 11 publications

(5 citation statements)

References 22 publications

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“…Consequently, all types of electronic businesses are exposed to security risks. Data and information protection should be a key security target of any commerce organization [35]. Sustainability is not attainable without personal data protection and well-organized e-commerce security.…”

Section: Framework and Conceptsmentioning

confidence: 99%

The Future of Electronic Commerce in the IoT Environment

Lazić,

Milić,

Vukmirović

2024

JTAER

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The Internet of Things (IoT) was born from the fusion of virtual and physical space and became the initiator of many scientific fields. Economic sustainability is the key to further development and progress. To keep up with the changes, it is necessary to adapt economic models and concepts to meet the requirements of future smart environments. Today, the need for electronic commerce (e-commerce) has become an economic priority during the transition between Industry 4.0 and Industry 5.0. Unlike mass production in Industry 4.0, customized production in Industry 5.0 should gain additional benefits in vertical management and decision-making concepts. The authors’ research is focused on e-commerce in a three-layer vertical IoT environment. The vertical IoT concept is composed of edge, fog, and cloud layers. Given the ubiquity of artificial intelligence in data processing, economic analysis, and predictions, this paper presents a few state-of-the-art machine learning (ML) algorithms facilitating the transition from a flat to a vertical e-commerce concept. The authors also propose hands-on ML algorithms for a few e-commerce types: consumer–consumer and consumer–company–consumer relationships. These algorithms are mainly composed of convolutional neural networks (CNNs), natural language understanding (NLU), sequential pattern mining (SPM), reinforcement learning (RL for agent training), algorithms for clicking on the item prediction, consumer behavior learning, etc. All presented concepts, algorithms, and models are described in detail.

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Section: Framework and Conceptsmentioning

confidence: 99%

The Future of Electronic Commerce in the IoT Environment

Lazić,

Milić,

Vukmirović

2024

JTAER

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“…Security challenges such as a lack of privacy for personally identifiable information and issues with authentication, integrity, and non-repudiation are major concerns for online users (Biucky et al, 2017). The e-commerce environment is fraught with several vulnerabilities; hence, it is essential for every company that has adopted e-commerce to adhere to the following four fundamental security principles: privacy, integrity, authentication, and non-repudiation (Bolek et al, 2023;Zhang et al, 2023). This includes implementing robust security protocols, utilizing encryption technologies, providing secure payment gateways, and ensuring compliance with industry security standards.…”

Section: Perceived Security Riskmentioning

confidence: 99%

A Systematic Review and Proposition of an E-Commerce Framework for African SMES: Integrating TAM and TPB into TOE Framework

Chioma Herrieth,

Rahman Abdul Rahim

2023

IJBMS

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This study offers a systematic review to identify the facilitators and barriers to African Small and Medium Enterprises (SMEs’) adoption of e-commerce and proposes an integrated e-commerce adoption framework. The review integrates two widely used theoretical frameworks, the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), into the Technology-Organization-Environment (TOE) framework. Following a rigorous literature search and careful evaluation in accordance with the PRISMA-P standards, 21 studies that were published between 2012 and 2022 were selected for inclusion in this study. The findings identified several key facilitators and barriers to e-commerce adoption. Facilitators include perceived ease of use (PEOU), perceived usefulness (PU), subjective norms (SU), perceived behavioral control (PBC), compatibility, organizational readiness for change, external support, security and trust, market and competitive pressures, access to reliable internet connectivity, social and cultural factors, economic factors, government policies, and education and training. Barriers include perceived technology trust, perceived relative advantage, firm size, senior management support, attitude, SME owners' IT skills, consumer readiness, etc. The proposed integrated TOE framework will offer valuable insights for policymakers, researchers, and practitioners seeking to enhance e-commerce adoption and its benefits for African SMEs. The study's discussion provides insights into the patterns and trends identified, their theoretical implications, and practical recommendations for policymakers and SMEs in Africa.

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“…Consequently, all types of business and trade on the electronic markets are exposed to security risks. Data and information protection should be key security targets of any commerce organization [18]. Sustainability is not attainable without personal data protection and well-organized e-commerce security.…”

Section: Framework and Conceptsmentioning

confidence: 99%

The Future of Electronic Commerce in the IoT Environment

Lazić,

Milić,

Vukmirović

2023

Preprint

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The Internet of Things (IoT) was born from the fusion of virtual and physical space and became the initiator of many scientific fields. Economic sustainability is the key to further development and progress. Today, the need for electronic commerce has become an economic priority in the transition period between Industry 4.0 and Industry 5.0. Unlike mass production in Industry 4.0, customized production in Industry 5.0 should reach its true potential in vertically organized management and decision-making systems. The authors focused their research on e-commerce based on the three-level vertical IoT environment and the edge, fog, and cloud computing. The paper presents hands-on machine learning (ML) algorithms to facilitate the transition from a flat to a vertical e-commerce concept. The authors also propose practical ML algorithms for a few e-commerce types: consumer-consumer relationships and consumer-company-consumer relationships. These algorithms are mainly composed of convolution neural networks (CNN), natural language understanding (NLU) and sequential pattern mining (SPM), reinforcement learning (RL for agent training), algorithms for clicking on the item prediction, consumer behavior learning, etc. All presented concepts, algorithms, and models are described in detail.

show abstract

The Information Security Management Systems in E-Business

Cited by 11 publications

References 22 publications

The Future of Electronic Commerce in the IoT Environment

The Future of Electronic Commerce in the IoT Environment

A Systematic Review and Proposition of an E-Commerce Framework for African SMES: Integrating TAM and TPB into TOE Framework

The Future of Electronic Commerce in the IoT Environment

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