Article
Public, Environmental & Occupational Health
Arun Sukumar, Hannan Amoozad Mahdiraji, Vahid Jafari-Sadeghi
Summary: The role of information and communication technologies in businesses today is crucial. Although these advancements bring advantages and opportunities, they also pose new challenges such as cyberattacks. This research focuses on assessing cyber risks in online retailing SMEs, specifically in the United Kingdom. A sample of 124 small e-tailers is used, employing a multi-criteria decision analysis (MCDA) method. The study identifies 28 cyber-oriented risks across five themes and develops a risk assessment pathway using step-wise weight assessment ratio analysis (SWARA) and the best-worst method (BWM).
Review
Computer Science, Information Systems
Sunil Chaudhary, Vasileios Gkioulos, Sokratis Katsikas
Summary: The proliferation of information and communication technologies in enterprises brings both opportunities for new business models and challenges in terms of cybersecurity. While large organizations may have the resources to prioritize cybersecurity, the situation is different for small and medium-sized enterprises (SMEs) due to limited resources and expertise. This study aims to address the research gap in cybersecurity awareness for SMEs by analyzing and evaluating existing studies and identifying knowledge gaps.
COMPUTER SCIENCE REVIEW
(2023)
Article
Engineering, Industrial
Rony Mitra, Ayush Dongre, Piyush Dangare, Adrijit Goswami, Manoj Kumar Tiwari
Summary: Micro, Small, and Medium-sized Enterprises (MSMEs) play a crucial role in a country's economy by creating jobs, generating income, and fostering production and innovation. Credit risk assessment (CRA) has traditionally relied on credit scores and financial statements, but with the emergence of machine learning (ML) algorithms, lenders have a new tool to evaluate the creditworthiness of MSMEs. This study introduces an innovative knowledge graph-driven credit risk assessment model (RGCN-RF) that utilizes the Relational Graph Convolutional Network (RGCN) and Random Forest (RF) algorithm to classify MSMEs based on their credit history and transactional data.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Johan Krisnanto Runtuk, Poh Kiat Ng, Shih Yin Ooi, Remigius Purwanto, Arief Suardi Nur Chairat, Yu Jin Ng
Summary: This study aims to construct an interaction model for all enablers that promote sustainable SME growth. The results show that both internal and external enablers are crucial for SME growth. The study also provides a guide for formulating strategies for SME sustainability.
Article
Operations Research & Management Science
Girish Santosh Bagale, Venkata Ramana Vandadi, Deepmala Singh, Dilip Kumar Sharma, Durga Venkata Kusuma Garlapati, Ravi Kumar Bommisetti, Ravi Kumar Gupta, Roy Setsiawan, V Subramaniyaswamy, Sudhakar Sengan
Summary: Researchers emphasize the significance of digitization in improving efficiency and productivity in Small and Medium Enterprises (SME). The advent of digital technology has led to a significant increase in the number of SMEs, with both product and process becoming more automated, resulting in improved quality and demand. India's SME sector has great potential for integrating new digital technologies.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Jenifer Vasquez, Santiago Aguirre, Edwin Puertas, Giulia Bruno, Paolo C. Priarone, Luca Settineri
Summary: This study introduces a sustainability maturity model for MSMEs, providing support for businesses to assess and improve environmental sustainability levels. The results of applying the model show that some companies have displayed good levels of sustainability development, while others are still at an initial stage, showing insufficient sustainability maturity.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Chemistry, Multidisciplinary
Alim Yasin, Toh Yen Pang, Chi-Tsun Cheng, Miro Miletic
Summary: In the last decade, Australian SMEs have been increasingly digitally engaged, but face challenges in fully adopting Industry 4.0. Digital twin and digital thread technologies are of significant interest and value. This article demonstrates the feasibility of digital twin implementation for SMEs through a framework based on simple and low-cost solutions, providing insight and guidance on overcoming technological barriers.
APPLIED SCIENCES-BASEL
(2021)
Article
Economics
Farhad Taghizadeh-Hesary, Naoyuki Yoshino, Lisa Fukuda, Ehsan Rasoulinezhad
Summary: This study provides a theoretical model and empirical analysis on the optimal credit guarantee fee for SMEs, taking into account both the financial health of SMEs and macroeconomic variables. Results suggest that the fee should be different for sound and risky SMEs to prevent moral hazard, and adjusted according to the macroeconomic state.
ECONOMIC MODELLING
(2021)
Article
Engineering, Industrial
Peter Burggraef, Matthias Dannapfel, Dennis Schneidermann, Matthias Ebade Esfahani
Summary: Industrial sectors are facing challenges in production and control processes due to macroeconomic trends such as digitisation. SMEs, which often play a subordinate role in factory planning and have limited resources, manifest resentments towards network collaborations despite the potential benefits of sharing resources and risks.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Computer Science, Information Systems
Khalifa AL-Dosari, Noora Fetais
Summary: IT security standards are constantly updated to keep up with advanced technologies in a rapidly changing technological world. This study suggests the need for better-suited IT risk-management frameworks for small- and medium-sized enterprises (SMEs), as existing frameworks are abstract, vague, and not adaptable to technological advancements.
Article
Green & Sustainable Science & Technology
Anze Mihelic, Simon Vrhovec, Tomaz Hovelja
Summary: Although agile methods are widely used, developing secure software remains a challenge. This paper aims to provide small and medium-sized enterprises (SMEs) with means to improve the sustainability of their software development process in terms of security. However, there is a research gap regarding the contribution of individual security elements to software security and their impact on agility and costs. To address this gap, a study was conducted to evaluate security elements found in the literature and develop a lightweight approach for evaluating agile methods from a security perspective, which can help SMEs adapt their software development process to their needs.
Article
Business
Yasanur Kayikci, Yigit Kazancoglu, Nazlican Gozacan-Chase, Cisem Lafci, Luciano Batista
Summary: This paper assesses the readiness and maturity level of a Smart Circular Supply Chain (SCSC) in SMEs from a multi-layered perspective, using a case study of SMEs in Turkey's textile industry. The study makes a unique contribution by integrating the concepts of Industry 4.0 and Circular Economy and evaluating the readiness and maturity levels within the supply chain.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Economics
Esther Ortiz-Martinez, Salvador Marin-Hernandez
Summary: There is a focus on the role of knowledge in corporate sustainability reporting, with Europe publishing new directives and standards. However, no studies have covered the micro spectrum and focused on SMEs. This paper uses lexical analysis to analyze sustainability reports voluntarily disclosed by European SMEs and finds a positive relationship between company size and report length. This study provides an opportunity to improve knowledge about sustainability disclosure and standards for SMEs.
JOURNAL OF THE KNOWLEDGE ECONOMY
(2023)
Article
Computer Science, Artificial Intelligence
Siravat Teerasoponpong, Apichat Sopadang
Summary: Manufacturing capacity planning is crucial for companies, but small and medium-sized enterprises often lack the resources and knowledge to collect and utilize data effectively. This paper proposes a simulation-optimization method to alleviate the burden on SMEs in planning manufacturing capacity.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Business
Xingli Wu, Huchang Liao
Summary: This study proposes a multi-criteria decision-making model that combines the Dempster-Shafer theory with probabilistic linguistic settings to address the uncertainties in the evaluation of start-up SMEs. The applicability and reliability of the proposed model are validated through a case study.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
