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Adeyemi, B S and Aigbavboa, C O (2020) Conflict factors investigation among construction professionals in Nigeria. Journal of Engineering, Design and Technology , 18(05), 1121–37.

Aghimien, D O, Aigbavboa, C O, Oke, A E and Thwala, W D (2019) Mapping out research focus for robotics and automation research in construction-related studies. Journal of Engineering, Design and Technology , 18(05), 1063–79.

Arowoiya, V A, Oke, A E, Aigbavboa, C O and Aliu, J (2020) An appraisal of the adoption internet of things (IoT) elements for sustainable construction. Journal of Engineering, Design and Technology, 18(05), 1193–208.

Asad, M M, Hassan, R B, Sherwani, F, Rind, I A and Maiji, Y (2019) Development of a novel safety and health educational management information system (HAZ-PRO) for oil and gas production operation. Journal of Engineering, Design and Technology , 18(05), 959–71.

Blindheim, J, Elverum, C W, Welo, T and Steinert, M (2020) Concept evaluation in new product development. Journal of Engineering, Design and Technology , 18(05), 1139–51.

Borer, J (2020) Object oriented design of safety critical programmable equipment systems. Journal of Engineering, Design and Technology , 18(05), 1081–9.

Chaparro, D A, Ying, F J, Rotimi, F E and Egbelakin, T (2020) Commute and labour productivity: investigation of inner city construction sites. Journal of Engineering, Design and Technology , 18(05), 1305–19.

Dave, N, Sahu, V and Misra, A K (2020) Development of geopolymer cement concrete for highway infrastructure applications. Journal of Engineering, Design and Technology , 18(05), 1321–33.

Davila Delgado, J M and Oyedele, L O (2020) BIM data model requirements for asset monitoring and the circular economy. Journal of Engineering, Design and Technology , 18(05), 1269–85.

Derradji, R and Hamzi, R (2020) Multi-criterion analysis based on integrated process-risk optimization. Journal of Engineering, Design and Technology , 18(05), 1015–35.

Eziefula, U G, Opara, H E and Eziefula, B I (2020) Strength of concrete produced with different sources of aggregates from selected parts of Abia and Imo States of Nigeria. Journal of Engineering, Design and Technology , 18(05), 1053–61.

Fei, C, Xiahou, P and Wang, F (2020) Design and control of grid connected inverter for harmonic suppression. Journal of Engineering, Design and Technology , 18(05), 1349–56.

Gamil, Y, A. Abdullah, M, Abd Rahman, I and Asad, M M (2020) Internet of things in construction industry revolution 4.0. Journal of Engineering, Design and Technology , 18(05), 1091–102.

Gbadamosi, S L and Nwulu, N I (2020) Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning. Journal of Engineering, Design and Technology , 18(05), 1209–22.

Gharehbaghi, K, McManus, K, Hurst, N, Robson, K and Myers, M (2019) Complexities in mega rail transportation projects. Journal of Engineering, Design and Technology , 18(05), 973–90.

Gupta, N K and Thakre, G D (2020) Dry sliding wear performance on self-healing Al6061 composites. Journal of Engineering, Design and Technology , 18(05), 1357–70.

Jun, Z, Akbar, M A and Xin lei, W (2020) Optimization of design and measurement principle of six-components force/thrust measurement stand. Journal of Engineering, Design and Technology , 18(05), 1371–9.

Khamseh, A and Marei, P (2020) Designing a model developed to assess the capabilities of technological innovation in Iranian construction of power plant equipment industries. Journal of Engineering, Design and Technology , 18(05), 1241–9.

• Type: Journal Article
• Keywords: Innovation; Technology; Technology assessment; Technological innovation capabilities;
• ISBN/ISSN: 1726-0531
• URL: https://doi.org/10.1108/JEDT-10-2019-0276
• Abstract:
  In this research, we investigate the capability level of technological construction for power plant equipment industries in Iran based on the development of a domestic model. In which we identify the strengths and weaknesses of technological capabilities and work to improve them. In this research, we investigate the capability level of technological construction for power plant equipment industries in Iran based on the development of a domestic model. In this study, more than 80 industry experts have filled the questionnaire that was designed based on the AHP method to measure the technological level of the industry. The result has shown the overall technology level about 63.26%. Based on this investigation, the technical capability in this industry is in the “C” class. However, the strategic, R&D and innovation capabilities of the industry have ranked the highest in the dimensions of technological capabilities. Because overall level of technological innovation capabilities in the industry is 63.50%, construction of power plant equipment industries in Iran is among the industries that are on the way to being strategic or class C industries. Industries in class C (strategic class) have proper insight into the way of promoting their technological capabilities. They are highly ability in project implementation and a strategic view of capability-building. Owing to a transparent priority attitude, these industries are able to formulate strategies and increase their internal capabilities in management and technical areas. Although industries in class C are able to react to new environment-orientated technological regulations quickly and effectively, they need a new policy for increasing innovation in leadership sections, and they need better access to capital and service goods. Class C industries take advantage of strategic awareness focused on the latest technologies required for mid and long term, and they need the support of other industries and institutions for development of technology among small- and medium-scale and other less-developed industries. These industries transcend technological boundaries in most areas and are able to turn into class D (innovative and creative) industries gradually. To this end, considering the ranking, strategic and R&D capabilities, as well as learning and innovation capabilities, rank the highest among other aspects of technological innovation capabilities for industries. Thus, the improvement projects of industries should be of a higher priority and implemented quickly. This article can be used as a model developed for technology-based companies in the field of power plant and energy supply in developing countries.

Li, H, Xia, Q, Wang, L and Ma, Y (2020) Sustainability assessment of urban water environment treatment public-private partnership projects using fuzzy logic. Journal of Engineering, Design and Technology , 18(05), 1251–67.

Mbae, A M and Nwulu, N I (2020) Day-ahead load forecasting using improved grey Verhulst model. Journal of Engineering, Design and Technology , 18(05), 1335–48.

Okampo, E J and Nwulu, N I (2020) Optimal energy mix for a reverse osmosis desalination unit considering demand response. Journal of Engineering, Design and Technology , 18(05), 1287–303.

Osman, B and Zhu, H (2020) A virtual educational model on a CNC milling machine including and excluding two methods of fuzzy controllers. Journal of Engineering, Design and Technology , 18(05), 1153–63.

Sibanda, V, Mpofu, K, Trimble, J and Kanganga, M (2019) Development of part families for a reconfigurable machine. Journal of Engineering, Design and Technology , 18(05), 991–1014.

Singh, T, Kalra, M and Misra, A K (2020) Simplified probabilistic seismic assessment of dampers in tall and braced structures in buildings. Journal of Engineering, Design and Technology , 18(05), 1037–52.

Wang, L (2020) Home intelligent lighting control system based on wireless sensor. Journal of Engineering, Design and Technology , 18(05), 1231–40.

Woju, U W and Balu, A (2020) Fuzzy uncertainty and its applications in reinforced concrete structures. Journal of Engineering, Design and Technology , 18(05), 1175–91.

Woju, U W and Balu, A (2020) Time-dependent safety performance of reinforced concrete structures. Journal of Engineering, Design and Technology , 18(05), 1103–20.

Xia, Y (2020) Research on dynamic data monitoring of steel structure building information using BIM. Journal of Engineering, Design and Technology , 18(05), 1165–73.

Yan, J (2020) 3D printing optimization algorithm based on back-propagation neural network. Journal of Engineering, Design and Technology , 18(05), 1223–30.

Zadok, Y (2019) Project-based learning in robotics meets junior high school. Journal of Engineering, Design and Technology , 18(05), 941–58.