5.1 Recommendation
5.1.1. Decision Support System
A decision support system is a computerized tool that helps increase the effectiveness of the decision-making process for semi-structural tasks. The tools and technology are used to support the decision-making rather than replacing the management judgment. The decision-making process promotes objectivity and neglects subjectivity, and increases the decision-making speed. (Hastak, 2018)
The decision-making model for increasing the profitability in the construction project is
1.Choosing the profit-maximizing objectives
2. Impacts of the decisions on the entire project and to consider all the possible situations
3.Filtering the selection criteria, which is quantifiable for the decision points
4.Establishing the probability of achieving the events in the decision criteria
5.Practicing the possible result for the decision alternatives and simulating the action combination, if any new event occurs
6.Final decision is made – maxim rule can be used.
The decision support is shortlisted from the literature review for the five rules and responsibilities of the commercial manager. The shortlisted decision system will enable the data-driven decision-making process to increase the project's profitability and success rate.
Table 6 Comparison of Decision-making tools used in the literature review
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)
5.1.2. Cost Information
The cost information considered while making the decision is very crucial. Only the relevant cost related to the decision-making should be considered because not all the costs will form the basis. During the prerendering stage, there will be much ambiguity in the cost information, so as the design development occurs, the accuracy of cost information increases. The cost information will be relevant only when developed at the right time for the commercial maker to make an accurate and satisfactory decision. The different costs like an additional cost, differential cost, avoidable cost should be identified before taking the decision. "The distinguish of costs like reversible or irreversible, The controlled cost and the administrated one, Determined costs and discretionary costs, visible costs and hidden costs, n internal and external cost. From this brief overview upon costs results that authority of the decision-maker is limited to all internal costs, manageable ones. It will be obvious on costs, reversible and determined. On the other hand, the decision-maker influences only very little on administration costs and outsourcing" (Lepădatu, 2017)
The source of cost information may be derived from the database of similar projects, competitive rates, arrived rm the economic and technical reports, or cost calculated from the same operating budgets. The digitalization of the workforce will enable an ample amount of data for the projects, and only the relevant cost should be considered. The cost behavior and relevance should be considered to choose the correct source for cost information.
5.1.3. User interference
The user interference should be designed before the central pretending process to be started. The creator of the user interference should clearly understand the user characteristics and the requirement and provide various design options to the users to provide effective usage and control of the functions in the system. (scholarworker , 2016) The user interference consists of model management and data management system to be connected for the smooth working of the decision support system. "The guidelines for designing the user interface include Strive for consistency, provide shortcuts for frequent users, provide informative feedback, design dialogs to create a closure, provide simple error recovery, permit easy reversal of actions, support internal locus of control, reduce information load proposed by Ben Schneiderman. He also listed uniformity of commands and interface, adaptability, execution time, versatility, quality of help provided, learning time for the DSS, ease of recall, fatigue as the factors that affect the success of user interfaces ." (scholarworker , 2016)
The user interference may be enabled to access the data from the web browser, dashboard, simulation software, and accessing the other customized gateway to software r structured programs customized gateway. The main functions include preparing the data query from the ample data available and help the commercial manager to select the best alternative after the analyses. The number of quires raised and successful completion of the raised quires using the data, model management, and user interfaces defines the effectiveness of the decision proposed by the DSS.
The benefits of the well-designed user interfaces include processing speed, increased productivity, reduction of errors, and human judgemental decision making, increasing the accuracy of the decision made by the DSS.
5.1.4. Knowledge Building
For the repetitive decision made in the project, the information and documents needed for the decision-makers shall be easily identified by the knowledge management process. The knowledge related to the project and the external environment is stored in a structured way, organized, and managed through the software to retrieve the required information quickly. Knowledge management forms the database for the decision support system and knowledge base management for future projects.
The data mining and the big data can be integrated with the DSS for data classification, clustering, and analysis purpose. The synergy between the decision support system and KM is discussed and elaborated in the Group System Support. "The GSS supports the group function like model management, data mining, idea evaluation, communication facilities, and dashboards. The research will establish a link between intreating knowledge management, strategic management, and the DSS to enable the business to gain a competitive advantage to achieve the business objectives.
5.2 Conclusion
The roles and responsibilities of the commercial manager differ across the type of organization. The questionnaire survey and literature review are done to identify the primary role and responsibility of the commercial manager. Cost management, performance management, value management, risk management, and contract formulation are the primary roles and responsibilities in the pre tendering stage. The interview has been conducted to identify the decision checkpoints in the prioritized roles and responsibilities of CM. The summary of the decision checkpoints [5.2 Objective 2]and their impacts on the project cost and the profitability are elaborated.
The decision-making process has evolved into data-driven, promotes greater collaboration, and involves more stakeholders by digitalizing the workforce. The decision support system should support the decisions made by the commercial manager to enable an increase in profitability. It helps make efficient and take faster decisions by making available relevant cost information and prediction at the right time to the commercial manager. The significant outcome of the research paper is the study of the impact of the decision made by the CM and the decision support system with synergies between the four attributes like decision model, knowledge management, cost management, and user interference to increase the profitability and to establish the group system support which consists of data mining, model management to analyze the big data available from the construction site.