Knowledge-based decision support system for improving e-business innovations and dynamic capability of IT project management

Open Innovation Engineering—Preliminary Study on New Entrance of Technology to Market

“…With the increasing development of information and communication technology (ICT) and diverse applications, electronic markets and e-business related industries are characterized with an open competition and fast-changing environment that requires companies to rapidly innovate products and services as well as effective operations management [30,31]. Furthermore, the new development of technology in the digital era is also a driving force to sustain competitiveness [32][33][34].…”

“…Each type of tasks could be simultaneously supported by the various IT teams, within or across organizations. The IT teams not only should assure their capabilities to fulfil the volume of tasks but also the demand for the quality of project tasks, as well as the process of strategic e-business and IT alignment with other teams [31]. These interrelationships between the demand from e-business and the supply from dynamic IT engineering management initiate the feedback structure requiring scientific simulation techniques and operational models from a holistic and dynamic viewpoint.…”

“…Based on real cases and real data, SD simulation could enhance the effectiveness of researchers' conceptualizations towards a studied reality [38]. The strength of SD methodology is its capacity to deal with accumulations and feedback processes that are well connected to inherently and dynamically complex characteristics of engineering management which cannot be effectively managed by human intuition alone [31,39].…”

Decision support system in supply chain: A systematic literature review

“…The use of DSS in the supply chain has also been carried out by researchers in various sectors although there are not too many sectors, for example automotive (Park & Yoon, 2013), computers (Lin et al, 2011), construction (Guerlain, et al, 2019), e-Commerce (Yan et al, 2019), fisheries (Teniwut et al, 2013), food (Fikar, 2018), forestry (Gerasimov et al, 2013), humanitarian (Saksrisathaporn et al, 2012 ), logistics (Biswas & Samanta, 2016), medical (Benazzouz et al, 2017), petroleum (Buhulaiga & Telukdarie, 2018), ports (Lara Garcia & Vangampler, 2012), retailers (Borade & Sweeney, 2015), textile (Rabenasolo & Zeng, 2012), tourism (Monteleone et al, 2015) and wind farm (Lange et al, 2012). This empirical condition indicates that DSS used in the supply chain has been implemented in various industries even though in its implementation, the focus is on one sector but taking into account the distribution of its scope this shows the strength of DSS in helping to improve the supply chain performance.…”

Project Management in the Development of Dynamic Capabilities for an Open Innovation Era

“…This detailed analysis led us to conclude that one of the themes addressed by the literature is the relationship between the DCs and operational capabilities in projects [5][6][7][8][9][10]. The literature also identifies DCs found in specific projects [11][12][13], in specific industries, which contributed to the success of the projects or DCs that were present in certain projects [10,[14][15][16][17].…”