1. Introduction

As businesses in manufacturing and service sectors are increasingly subject to global competition, the highly variable demand from customers and the growing variety of products on the market [1], enterprises face several challenges in order to maintain their places in the market, which requires the improvement of their performance and competitiveness [2,3]. Otherwise, it encourages them to increase productivity and product quality, reduce costs and cycle times, be more flexible and respect delivery deadlines [4].

In order to cope with these fluid conditions, manufacturers often use two strategies to face these challenges: implementing Lean practices and integrating information and communication systems, in particular ERP systems “Enterprise Resource Planning” [3]. This combined implementation gave birth to the new hybrid Lean ERP system, that combines the entire database of all department in a centralized one.

A good implementation of the hybrid Lean ERP system offers several benefits to the enterprise and its stakeholders through a significant reduction in costs, operating time and a considerable increase in performance and quality (which could be traced from raw material to finished good) which leads to: responding quickly to customer’s needs. However, if the implementation is not well achieved, it could lead to serious problems and losses. It is therefore important to take into account the different parts of the company and critical success factors (CSFs) to ensure the successful implementation of the hybrid system.

The purpose of this Research is to identify Critical Success Factors (CSFs) for the implementation of the hybrid Lean ERP system, then study the degree of influence of the CSFs in order to extract the most decisive factors during implementation. Afterward, explore the role of stakeholders in the implementation of the hybrid system, in order to categorize which factors directly influence them, for the purpose of a successful implementation within the enterprise and its stakeholders.

2. CSFs For Lean ERP System

Critical success factors are all elements to consider when setting up or upgrading a new system, to optimize resources and effort by focusing on the important elements that contribute to successful implementation or upgrade. As a result, many researchers had shed more light on those factors (CSFs) and defined them according to their own points of view; the reason why we find different definition to CSFs in the literature.

Critical success factors usually vary from one industry to another, they define the elements influenced by the decisions of the top management and could affect the global competitive position of diverse sectors of an industry [5]. CSFs tend to relate more to how an organization approaches the change effort versus change method specific factors. Even though certain authors bring up key aspects for the specific change method, most CSF are fairly general in nature [6]. Houti concluded that the concept of critical success factors is one of the important elements that influence the success of any organization. It should be used when implementing a system. As they are among the few elements that guarantee successful implementation in all phases: pre-implementation, implementation and post-implementation. While ensuring the sustainability of the system, through the use of factors of measurement of profitability and performance, as well as the respect of the different characteristics and conditions imposed in the specifications of the business [4]. Knowing that CSFs can have a direct positive or negative effect on the performance of the business. In fact, if they are well identifiable and applied, they can lead to the achievement of the business. On the other hand, if they are not used accurately they can lead to failure [4].

Several authors have discussed the critical factors whether success or Failure. Researchers have already identified according to the literature that CSFs affecting the implementation of both production systems, namely: Lean Manufacturing and ERP system. Our study is based on the work established by Houti and al., [4, 2] to gather the most critical success factors of Lean ERP system. It will be necessary to identify factors of success to guarantee an effective implementation of the combined system.

Our study allowed us to identify 20 different critical factors of success during the Implementation of the combined Lean ERP system. They cover the categories of management, resources and organizations, as well as the phases of implementation the Lean ERP system. The factors gathered are listed in the table 1:

Table 1. CSFs for Lean ERP implementation

2.1. Degree of Influence Of Csfs For Lean ERP Implementation

These 20 CSFs identified above have several interactions with each other. Our study is established thanks to an effective collaboration with a team of researchers and industrialists, in order to extract the different relations existing between each of these factors, and which are visualized later using the vectograph drawing method, represented in FIG. 1, where:

• The “X” represents the factors on the columns influence the factors on the rows.
• The “O” represents the factors on the rows influence the factors on the columns;

Figure 1. The influence among the different CSFs in Lean ERP implementation

The analysis of the figure 1 above, allowed us afterwards to draw the binary matrix [M] which is illustrated in figure 2, to better visualize the influence of each factor separately, Then, through calculating the degree of influence of each factor, the result matrix could be plotted, where:1 represents an influence and 0 doesn’t represent any influence;

By analyzing the resulting matrix [M], we can conclude that there are 11 levels of influence, distributed as follows in Table 2:

These CSFs’s levels and degrees of influence will contribute to an easy implementation of the Lean ERP combined system; Starting with the first levels of influence (high influence factors), it will contribute indirectly to the establishment of other factors influenced factors; This will automatically facilitate the implementation of the other CSFs, and thus a quick implementation of the hole system.

3. Stakeholders Role in Lean ERP Implementation

Stakeholders could be defined as the different parts involved in a process, hence their positive or negative impact; depending on their degree of contribution and influence on the project. Knowing that close cooperation of stakeholders is necessary for the success of the project [7].

Identifying how stakeholders influence the success of project through a continuous development of their relationships, is an important and fundamental issue of stakeholder management, that remain an account for the success of projects [8], and an important issue in project management [9]. It is necessary to know how the stakeholders can be influenced, so they support and contribute to the project [10]; As a project can be seen as a temporary coalition of stakeholders pursuing an aim together [7,9].

Figure 2. The binary Matrix [M]

Table 2. CSFs’s Degree of influence

The implementation of Lean ERP system is one of the complex project that need contribution and engagement of all part of the enterprises, due to the changes that will involve stakeholders. These stakeholders typically have multiple and often conflicting interests and rarely agree on a set of common objectives [11].

3.1. Classification according to Stakeholders Group

Stakeholder involvement is essential when implementing a system such as Lean ERP; That provides high customer service and shorter lead times [12], which involves different parts of the enterprises. why is it important to consider the different categories of stakeholders to allow each group to focus on the relevant CSFs. Figure 3 shows the important groups of stakeholders. The Lean ERP implementation project involves all parts of the business. Therefore, the assessment of stakeholder groups is one of the important steps to establish when implementing the combined system.

Figure 3. Classification of stakeholders groups

3.2. Stakeholder Assessments

Stakeholder assessments can assist planners to identify the interests, groups and individuals that are stakeholders in planning exercises, as well as their values, interests and relative power [13]. This can help to proactively determine ways to reduce negative impacts on the groups with less influence and power within the enterprise. A thorough stakeholder analysis can also identify potential conflicts or risks that could jeopardize the project, as well

Table 3. Analysis of Stakeholder assessments

as opportunities and strategies for stakeholder engagement during implementation. Therefore, it is imperative to identify and engage all stakeholders early on in the project to ensure the proper measures are in place to manage the different characteristics of these stakeholders. Taking this initiative will increase the likelihood of successful implementation and adoption of the enterprise system [14]. Table 3 summarizes the assessment of stakeholder’s groups including their role, degree of influence, expectations and issues related to Lean ERP implementation.

The stakeholder groups mentioned above have multiple interactions with each other within the organization, which is essential to the smooth running of the business, which has prompted our team of researchers and industrialists to draw the matrix [S](Figure 4) which standardize the degree of similarity and interactions over an interval of 0 to 1.

Figure 4. The binary Matrix [S]

Afterwards, we used the color-coding approach in figure 5to illustrate the different interactions of the stakeholder network. The color ranges from turquoise to gray to indicate the degree of interaction of the stakeholder network. If the links colors are closer to gray then we have a higher degree, which means that related stakeholders have a closer connection and stronger influence over each other. On the other hand, the colors closer to turquoise are not very marked, which means that the related stakeholders have a fragile relationship and a weaker influence on each other. Table 4 presents this classification that will help stakeholders of the enterprise to focus on factors that affect them.

Figure 5.Relationships among Stakeholders network

Consequently, a classification according to Stakeholders Group of CSFs gathered during the previous study will be established to help further enterprises and its stakeholders to focus on CSFs that affect them directly in order to reach a better performance and a successful implementation of the hybrid Lean ERP system.

Table 4. Classification of Lean ERP CSFs according to stakeholders group

4. Conclusion

The Lean ERP system has become the most widely adopted system by enterprises, as long as the many advantages that presents. However, the high cost of implementation and the risk of failure can lead to several critical issues within the enterprise and its different stakeholders, which could be solved by taking into account the CSFS and involving different stakeholders groups during the implementation of the hybrid system.

This article has enabled us to extract, 20 most CSFs to be used when implementing the hybrid Lean ERP system, thereafter study in more detail their degree of influence to further identify the factors to take into account as a priority, depending on their Level of influence, in order to simplify the implementation of other factors that affect them. Thereafter analyze the importance of the identified stakeholder groups (End user, Top Management, Project Team, Consultant / Vendor, IT Department) and study their interactions to help future enterprises wishing to implement the hybrid system and their stakeholders to concentrate on the CSFs that directly affect each Stakeholder group in order to achieve better performance and successful implementation of the hybrid Lean ERP system.

1. Houti, M., El Abbadi, L., Abouabdellah, A., “E-Kanban the new generation of traditional Kanban system, and the impact of its implementation in the enterprise “, Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM., Rabat, Morocco, (Apr, 11-13), 2017.
2. Houti, M., El Abbadi, L., Abouabdellah, A., “External critical successful factors for a successful implementation of ERP systems”, Proceedings of International Conference on Computers and Industrial Engineering, CIE., Lisbon, Portugal, (Oct, 11-13), 2017.
3. Houti, M., El Abbadi, L., Abouabdellah, A., “Lean ERP: A hybrid approach Push /Pull”, Proceedings of the 3rd IEEE International Conference on Logistics Operations Management, GOL 2016., Fez, Morocco, (May, 23-25), 2016.
4. Houti, M., El Abbadi, L., Abouabdellah, A., “Critical Success Factors for Lean implementation “Projection on SMEs”, Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM., Pilsen, Czech Republic, (Jul, 23-26), 2019.
5. Hofer, C. W., Schendel, D. A., “Strategy Formulation: Analytical Concepts”, West Publishing Company, Saint Paul, 1978.
6. Dag, N., “Lean and Six Sigma – critical success factors revisited”, International Journal of Quality and Service Sciences, Vol. 5, N°.1, (2013), pp. 86 – 100.
7. Jepsen, A.L., Eskerod, P., “Stakeholder analysis in projects: Challenges in using current guidelines in the real world”, International Journal of Project Management, Vol. 27, (2009), pp. 335–343.
8. McElroy, B.; Mills, C. “Managing stakeholders”, In Gower Handbook of Project Management; Turner, R.J., Simister, S.J., Eds.; Gower: Aldershot, UK, 2000.
9. Andersen, ES., “Prosjektledelse – et organisasjonsperspektiv”, Bekkestua: NKI Forlaget, Oslo, 2005.
10. Lund Jepsen, A., Eskerod, P., “Stakeholder analysis in projects: Challenges in using current guidelines in the real world”, International Journal of Project Management, Vol. 27, (2009), pp. 335–343.
11. Sudevan, S., Bhasi, M., Pramod, K.V., “Interpreting Stakeholder Roles in ERP Implementation Projects: A Case Study”, International Journal of Computer Science and Information Technologies, Vol. 5 (3), (2014), pp. 3011-3018.
12. Houti, M., El Abbadi, L., Abouabdellah, A., “How Could an Urgent Order Disturb the Supply Chain? Case S tudy of an Automotive Industry”, International Journal of Engineering & Technology, Vol. 7(4.16), (2018), pp. 155-159.
13. Medeiros de Araujo. L., Bramwell. B., “Stakeholder Assessment and Collaborative Tourism Planning: The Case of Brazil’s Costa Dourada Project”, Journal of Sustainable Tourism, Vol. 7(3-4), (1999), pp.356–378.
14. McLaren, T., Jariri, I., “Stakeholder Assessment and Management for Enterprise Systems Implementation Projects”, International Conference on Information Resources Management, CONF-IRM 2012 Proceedings, Association for Information SystemsAIS Electronic Library (AISeL) (sep, 26), 2012.

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Google Scholar

Crossref Citations

1. Izuchukwu Francis Okafor, Mustapha Abdullahi, Bappah Adamu Umar, Kelechi U. Adie, "Investigating the Influence Biomass Additive on the Thermal Performance of a Fired-Clay for Producing the Inner Liner of a Biomass Cook-Stove", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 1, pp. 69–77, 2026. doi: 10.25046/aj110107
2. Marlene Böhmer, Thorsten Herfet, "PerfVis+: From Timestamps to Insight through Integration of Visual and Statistical Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 77–87, 2025. doi: 10.25046/aj100607
3. Glender Brás, Samara Leal, Breno Sousa, Gabriel Paes, Cleberson Junior, João Souza, Rafael Assis, Tamires Marques, Thiago Teles Calazans Silva, "Machine Learning Methods for University Student Performance Prediction in Basic Skills based on Psychometric Profile", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 4, pp. 1–13, 2025. doi: 10.25046/aj100401
4. Fadwa Bouhannana, Akram El Korchi, "Application of Lean Practices in Food Supply Chain: The Case of Morocco", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 101–110, 2023. doi: 10.25046/aj080412
5. Temsamani Khallouk Yassine, Achchab Said, Laouami Lamia, Faridi Mohammed, "Hybrid Discriminant Neural Networks for Performance Job Prediction", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 116–122, 2023. doi: 10.25046/aj080213
6. Ossama Embarak, "Multi-Layered Machine Learning Model For Mining Learners Academic Performance", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 850–861, 2021. doi: 10.25046/aj060194
7. Aicha Lamjahdi, Hafida Bouloiz, Maryam Gallab, "Heuristic Analysis of Overall Performance Measurement Perception and Management in Automotive Industry", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 1–11, 2022. doi: 10.25046/aj070301
8. Boris Kontsevoi, Sergei Terekhov, "TETRA™ Techniques to Assess and Manage the Software Technical Debt", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 303–309, 2021. doi: 10.25046/aj060534
9. Maroua Barha, Soumaia Hmimou, Mounir Ait Kerroum, Hamid Ait Lemqeddem, "The Internal Reliability of a Questionnaire on the Impact of Enterprise Resource Planning on the Performance of Moroccan Companies", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 59–64, 2021. doi: 10.25046/aj060508
10. Radwan Qasrawi, Stephanny VicunaPolo, Diala Abu Al-Halawa, Sameh Hallaq, Ziad Abdeen, "Predicting School Children Academic Performance Using Machine Learning Techniques", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 08–15, 2021. doi: 10.25046/aj060502
11. Rafael Souza Cotrim, João Manuel Leitão Pires Caldeira, Vasco Nuno da Gama de Jesus Soares, Pedro Miguel de Figueiredo Dinis Oliveira Gaspar, "Power Saving MAC Protocols in Wireless Sensor Networks: A Performance Assessment Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 341–347, 2021. doi: 10.25046/aj060438
12. Juanita Juanita, Titus Hari Setiawan, Anwar Ma’ruf, "The Operational Performance of Mass Transportation Before Covid-19 and New Normal Life: Case Study BRT TransJateng, Central Java", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 361–366, 2021. doi: 10.25046/aj060342
13. Abderrahmane Ouddasser, Anass Mellouki, Yassine Belyagou, Kamal Yazzif, "The health Sector Between Innovation and Organizational Performance: Applied Research in Moroccan Hospitals", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 277–285, 2021. doi: 10.25046/aj060331
14. Md Mahmudul Hasan, Nafiul Hasan, Dil Afroz, Ferdaus Anam Jibon, Md. Arman Hossen, Md. Shahrier Parvage, Jakaria Sulaiman Aongkon, "Electroencephalogram Based Medical Biometrics using Machine Learning: Assessment of Different Color Stimuli", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 27–34, 2021. doi: 10.25046/aj060304
15. Amany Khalil, Osama Tolba, Sherif Ezzeldin, "Design Optimization of Open Office Building Form for Thermal Energy Performance using Genetic Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 254–261, 2021. doi: 10.25046/aj060228
16. Futra Zamsyah Md Fadzil, Alireza Mousavi, Morad Danishvar, "Event Modeller Data Analytic for Harmonic Failures", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1343–1359, 2021. doi: 10.25046/aj0601154
17. Ayodele Periola, Akintunde Alonge, Kingsley Ogudo, "Underwater Computing Systems and Astronomy–Multi-Disciplinary Research Potential and Benefits", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1000–1011, 2021. doi: 10.25046/aj0601111
18. Abdulla Alsharhan, Said Salloum, Khaled Shaalan, "The Impact of eLearning as a Knowledge Management Tool in Organizational Performance", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 928–936, 2021. doi: 10.25046/aj0601102
19. Desman Hidayat, Edi Abdurachman, Elidjen, Yanthi Hutagaol, "The Mediating Role of Entrepreneurial Orientation on the Knowledge Creation-Firm Performance Nexus: Evidence from Indonesian IT Companies", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 922–927, 2021. doi: 10.25046/aj0601101
20. Lesia Marushchak, Olha Pavlykivska, Galyna Liakhovych, Oksana Vakun, Nataliia Shveda, "Accounting Software in Modern Business", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 862–870, 2021. doi: 10.25046/aj060195
21. Deddy Kurniawan, Ditdit Nugeraha Utama, "Decision Support Model using FIM Sugeno for Assessing the Academic Performance", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 605–611, 2021. doi: 10.25046/aj060165
22. Amin S. Ibrahim, Khaled Y Youssef, Mohamed Abouelatta, "Traffic Aggregation Techniques for Optimizing IoT Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 509–518, 2021. doi: 10.25046/aj060156
23. Najat Messaoudi, Jaafar Khalid Naciri, Bahloul Bensassi, "Mathematical Modelling of Output Responses and Performance Variations of an Education System due to Changes in Input Parameters", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 327–335, 2021. doi: 10.25046/aj060137
24. Ndiatenda Ndou, Ritesh Ajoodha, Ashwini Jadhav, "A Case Study to Enhance Student Support Initiatives Through Forecasting Student Success in Higher-Education", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 230–241, 2021. doi: 10.25046/aj060126
25. Yanet Cruz Flores, Tania Retuerto-Azaña, Jaquelin Nuñez-Artica, Brian Meneses-Claudio, Hernan Matta Solis, Lourdes Matta-Zamudio, "Lifestyle in Nursing Students at a University of North Lima", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 164–168, 2021. doi: 10.25046/aj060118
26. Lonia Masangu, Ashwini Jadhav, Ritesh Ajoodha, "Predicting Student Academic Performance Using Data Mining Techniques", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 153–163, 2021. doi: 10.25046/aj060117
27. Nin Hayati Mohd Yusoff, Nurul Azma Zakaria, "Development and Performance Analysis of HRPL Using 6LoWPAN CC2538 Module for IoT Ecosystem", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1217–1224, 2020. doi: 10.25046/aj0506145
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31. Klyagin Viktor Anatolievich, Laushin Dmitry Andreevich, "The Impact Assessment of the Errors in Determining the Mass and Zero Lift-Drag Coefficient on the Aircraft’s Performance Data", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 118–126, 2020. doi: 10.25046/aj050613
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33. Thi Anh Van Nguyen, Khac Hieu Nguyen, "The Impact of Innovation on the Performance of Manufacturing Enterprises in Vietnam", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 984–990, 2020. doi: 10.25046/aj0505120
34. Fayza A. Nada, "Performance Analysis of Selective Repeat ARQ Protocol Used in Digital Data Transmission Over Unreliable Channels", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 927–933, 2020. doi: 10.25046/aj0505113
35. Mika Karjalainen, Tero Kokkonen, "Review of Pedagogical Principles of Cyber Security Exercises", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 592–600, 2020. doi: 10.25046/aj050572
36. Sanaz Gheibi, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, "Fine Tuning the Performance of Parallel Codes", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 824–840, 2020. doi: 10.25046/aj050497
37. Supalak Sathiracheewin, Patamaporn Sripadungtham, Settakorn Kamuang, "Performance Analysis of Grid-Connected PV Rooftop, at Sakon Nakhon Province, Thailand", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 816–823, 2020. doi: 10.25046/aj050496
38. Fayza Ahmed Nada, "Performance Analysis of Go-Back-N ARQ Protocol Used in Data Transmission Over Noisy Channels", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 612–617, 2020. doi: 10.25046/aj050472
39. Pratik Kumar Singh, Fadillah Binti Ismail, Chan Shiau Wei, Muhammad Imran, Syed Ashfaq Ahmed, "A Framework of E-Procurement Technology for Sustainable Procurement in ISO 14001 Certified Firms in Malaysia", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 424–431, 2020. doi: 10.25046/aj050450
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41. Md. Imdadul Hoque, Abul kalam Azad, Mohammad Abu Hurayra Tuhin, Zayed Us Salehin, "University Students Result Analysis and Prediction System by Decision Tree Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 115–122, 2020. doi: 10.25046/aj050315
42. Gede Indrawan, I Made Agus Oka Gunawan, Sariyasa, "The Usability Evaluation of Academic Progress Information System (SIsKA-NG)", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 460–468, 2020. doi: 10.25046/aj050259
43. Jorge Castro-Bedriñana, Doris Chirinos-Peinado, Felipe Zenteno-Vigo, Gianfranco Castro-Chirinos, "Satisfaction of Old Graduates of Zootechnical Engineering for Improvement of Educational Quality at the UNCP", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 166–173, 2020. doi: 10.25046/aj050221
44. Dora Yvonne Arce Santillan, Omar Freddy Chamorro Atalaya, Yesica Pamela Leandro Chacón, Jorge Isaac Castro Bedriñana, Elizabeth Rosario Martínez Santillán, "The Proportionality of Women Graduated from the Professional Career of Mechanical and Electrical Engineering at UNTELS: Analysis of their Academic Performance and Labor Field of Action", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 1, pp. 368–372, 2020. doi: 10.25046/aj050147
45. Vladyslav Kucher, Jens Hunloh, Sergei Gorlatch, "Performance Portability and Unified Profiling for Finite Element Methods on Parallel Systems", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 1, pp. 119–127, 2020. doi: 10.25046/aj050116
46. Aref Hassan Kurd Ali, Halikul Lenando, Mohamad Alrfaay, Slim Chaoui, Haithem Ben Chikha, Akram Ajouli, "Performance Analysis of Routing Protocols in Resource-Constrained Opportunistic Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 6, pp. 402–413, 2019. doi: 10.25046/aj040651
47. Omar Freddy Chamorro Atalaya, Dora Yvonne Arce Santillan, Jorge Isaac Castro Bedriñana, Yesica Pamela Leandro Chacón, Martin Díaz Choque, "The Correlation of the Specific and Global Performance of Teachers in UNTELS Engineering Schools", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 6, pp. 196–202, 2019. doi: 10.25046/aj040625
48. Ramachandran Ravi Sowmiyasree, Nachimuthu Maheswari, Manickam Sivagami, "Improving the Performance of Hadoop Framework Using Optimization Process in the Information Management", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 5, pp. 327–333, 2019. doi: 10.25046/aj040542
49. Lajmi Imen, Masmoudi Wassim, Elleuch Mounir, Chtourou Hedi, "Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 5, pp. 213–223, 2019. doi: 10.25046/aj040527
50. Muhammad Usman Sheikh, Ritayan Biswas, Jukka Lempiainen, Riku Jantti, "Assessment of Coordinated Multipoint Transmission Modes for Indoor and Outdoor Users at 28 GHz in Urban Macrocellular Environment", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 119–126, 2019. doi: 10.25046/aj040216
51. Lev Lafayette, Bernd Wiebelt, Dirk von Suchdoletz, Helena Rasche, Michael Janczyk, Daniel Tosello, "The Chimera and the Cyborg", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 1–7, 2019. doi: 10.25046/aj040201
52. János Végh, József Vásárhelyi, Dániel Drótos, "Can parallelization save the (computing) world?", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 1, pp. 141–158, 2019. doi: 10.25046/aj040114
53. Waleed Al Shehri, Maher Khemakhem, Abdullah Basuhail, Fathy E. Eassa, "A Proposed Architecture for Parallel HPC-based Resource Management System for Big Data Applications", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 1, pp. 40–44, 2019. doi: 10.25046/aj040105
54. Moises Levy, Daniel Raviv, "An Overview of Data Center Metrics and a Novel Approach for a New Family of Metrics", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 2, pp. 238–251, 2018. doi: 10.25046/aj030228
55. Zheng Li, Maria Kihl, Yiqun Chen, He Zhang, "Two-Stage Performance Engineering of Container-based Virtualization", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 1, pp. 521–536, 2018. doi: 10.25046/aj030163
56. Aneta George, Liam Peyton, Voicu Groza, "Systematic Tool Support of Engineering Education Performance Management", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 1, pp. 418–425, 2018. doi: 10.25046/aj030151
57. Muhammad Usman Sheikh, Jukka Lempiainen, "Analysis of Outdoor and Indoor Propagation at 15 GHz and Millimeter Wave Frequencies in Microcellular Environment", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 1, pp. 160–167, 2018. doi: 10.25046/aj030120
58. Ruijian Zhang, Deren Li, "Applying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 6, pp. 285–289, 2017. doi: 10.25046/aj020635
59. Habib Smei, Kamel Smiri, Abderrazak Jemai, "A New profiling and pipelining approach for HEVC Decoder on ZedBoard Platform", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 6, pp. 40–48, 2017. doi: 10.25046/aj020605
60. Moises Levy, Jason O. Hallstrom, "A Reliable, Non-Invasive Approach to Data Center Monitoring and Management", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 1577–1584, 2017. doi: 10.25046/aj0203196
61. Michael Fries, Markus Lienkamp, "Predictive Technology Management for the Identification of Future Development Trends and the Maximum Achievable Potential Based on a Quantitative Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 1042–1049, 2017. doi: 10.25046/aj0203132
62. Furqan Jameel, Faisal, M Asif Ali Haider, Amir Aziz Butt, "Security in SWIPT with Power Splitting Eavesdropper", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 384–388, 2017. doi: 10.25046/aj020349
63. Mona A. Abou-Of, Amr A. Sedky, Ahmed H. Taha, "Power-Energy Simulation for Multi-Core Processors in Bench-marking", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 1, pp. 255–262, 2017. doi: 10.25046/aj020131
64. Michail Papoutsidakis, Georgios Chamilothoris, Dimitrios Tseles, "Robust µController Implementations for a Linear Pneumatic Actuator Interaction", Advances in Science, Technology and Engineering Systems Journal, vol. 1, no. 2, pp. 6–10, 2016. doi: 10.25046/aj010202