Impact of Commercial Decision Making in the Cost at the Pre-Tendering Stage

The Indian construction industry has the cognitive frame of operating in the cost-based approach rather than the value-based approach, and the project process and strategies are framed in such a manner to increase the protability of the project by the organization. Nevertheless, the protability margin of the construction project is very comparatively low compared to the other Industrial sectors. There is much reason for not attaining a higher protability margin in the construction sector. Some of the reasons are the low innovative business plan, ineffective data-driven decision-making, ineffective management of the transaction, and construction risks. The responsibilities of increasing protability and managing the transactional ow in the project are given to the commercial manager. The roles and responsibilities of the commercial manager vary globally. The quantity surveyor's job role further enhanced the commercial manager, where the latter can take the commercial decisions about the project. This research paper's primary outcome is the framework model for making effective decisions by the commercial manager, which increases the project's protability. The systematic decisions, which are made in the projects by the commercial manager are studied. Considering the external factors like the COVID-19 outbreak, market condition, and existing factors affecting the decision-making process, the tools and techniques for making ecient decisions in the construction project are suggested. The synergies between these tools and techniques are studied, and a decision-making model is framed to reduce the cost and time overrun, and the benets associated with implementing the model in the project are detailed.


Introduction And Background
The Indian construction industry records the lowest pro t percentage compared to all other sectors even though the construction sector has a cognitive framework of the industry works in a cost-based approach rather than the value-based approach. The Indian construction sectors operate in urban development, infrastructure, ports, water supply, and building work on EBIDTA margins of 10 %, where the net pro t margin is 2 to 4 %. The lowest pro t percentage bounds with many reasons like negative cash ow, the rising interest cost, ineffective management, low commodity price.
The ineffective management of construction projects is one area where optimization can be brought easily by endorsing the bene ts associated with the change of new technology, new framework in the more fragmented Indian construction industry. The Indian construction industry is another cognitive framework and the institutional actor of the construction company of strategic benchmarking of the successful company and their winning strategy. So, the Industrial leading company should focus on effective management of the project to increase pro t, which bene ts all stakeholders and changes the nature of how the industry works. Since the construction project success rate mainly evolves around the pro t rate, effective monitoring and control of the project should be needed. Separate skills and competencies are needed to create an effective organization's effective function to make a pro t.
The job role "commercial manager" gained much attention in the Construction Industry, where the traditional role of quantity surveyor evolved into the commercial manager. The standard de nition of commercial management evolves around the construction industry is "Looking after the pro ts of the company, by keeping costs to a minimum and maximizing income" (al, 1997).
Based on the survey, the commercial decision made by the commercial manager is studied for commercial and residential projects. The decision-making process and effectiveness to improve the pro tability of the project are studied in the research. The COVID-19 Pandemic has changed decisionmaking by adding more external factor constraints affecting the successful completion of the projects.
The primary outcome of the research appears to suggest a commercial decision-making framework, which increases the pro tability of the project. By understanding the factors of the decision-making process in the various stages of construction projects, effective decision-making tools and techniques are suggested. The professional industry input about the decision-making framework is received by conducting an interview and survey. The hypothesis condition is framed and tested, whether the framework could be effective and bene ts all the different levels of size, the complexity of the construction project.
The synergy between the tools and techniques suggested is studied, and the more appropriate framework by understanding the bene ts of integrating the tools and techniques for making an appropriate commercial decision that would increase pro tability by decreasing the time and cost overrun and optimizing the construction process is suggested. The SWOT Analysis for the framework is framed for understanding the future opportunities of extending the research further.

Aim
To recommend effective decision-making tools and technique to increase pro tability in the construction projects

Research Gap
The research questions are framed based on the research gap, and the research primarily focused on answering the following questions 1.What is the primary role of the commercial manager in the Indian construction Sector? 2.What is the Impact of Commercial decisions made in respect of the cost?
3.What are the tools and techniques available and synergies between them in the decision-making process? 4.What are the effective tools and techniques to increase the project's pro tability, considering the synergies between them?

Approach
The research methodology is the Inductive research approach or Bottom-up approach. Inductive research is generating a hypothesis and developing a theory or framework.

Reason for choosing the Inductive research approach:
There is no theory or framework on the decision-making process that would increase pro tability. So, the detailed observation of the decision-making process and its impact on the cost is studied. The initial preliminary hypothesis is made to establish a relationship between cost and decision-making. Various data collection processes establish the data-driven decision-making framework, and they adaptable in the real market is studied.

Flowchart of research Methodology
The research method and data collection on the research are explained in the previous section. The owchart of research explains how the objectives of the research are to be achieved.

Objective 1
The initial literature review for understanding the roles and responsibilities of commercial managers in the larger world context is studied. The areas and processes the commercial manager involved majorly are selected as the attributes for the following study of the research. The commercial manager is involved in the preconstruction stage and posts the construction stage like Contract Negotiation, Procurement strategy, Business Plan Development, acquiring approvals and permits, Supply chain management, Contract Management, Compliance Management, Cost management. The attributes are more than 20, and to concrete only on the Indian construction sector and the critical roles the industrial professional involved, primary data collection is carried out.
The initial pilot survey is designed and circulated to select the initial attributes for the Analytical hierarchy process. The essential attributes of 10 numbers are selected. The Analytical hierarchy process for the ten attributes is done by framing an AHP specially designed Questionnaire. The AHP helps to nd suitable attributes based on relative importance and helps to understand the problem. The importance of the attributes is measured in the number and ability to decide by allowing a straight ward consideration of the course of the action. Objective 1 is attained.

Objective 2
The literature review and the market analysis are done to study the commercial decision made at the selected process by the commercial manager. The impact of the commercial decision made by the commercial manager on the cost is studied The hypothesis condition is established between the variable cost and the decision for the selected process to nd the interdependencies between the two variables. If the null hypothesis got rejected, new attributes are selected, and the impact study is done for them.

Objective 3
The impact of decisions made in the process and how the decision-making process changed by the COVD-19 Pandemic is recorded with the interview and market analysis for the selected process.

Objective 4
Effective decision-making tools and techniques are founded, and synergy between them is established. A framework for the effective decision-making process for commercial decisions is framed. The objective of the framework is formed as a statement. The agreement of the Statement by the industry professional and feedbacks are recorded by the Likert scale survey and questionnaire.

Discussion And Suggestion
The commercial decisions made at the cost management, risk management, contract formulation, performance management, and value management are studied by interviewing with the commercial managers and thorough literature review. Through the hypothesis testing the relationship between the decision made and the project, the cost is established by getting the agreement of the commercial manager. Since the 28 attributes decision points relationship between the project cost is established statistically, its impact on the project cost is discussed in the following section.     The decision-making process involves several decision points or gateways, through which the client asses the development of objectives, value is being delivered, and the risk is acceptable. If the client holds power to make the design, the commercial manager shall present the information and suggestions to the client. The client will decide whether to proceed with the suggestion of the commercial manager.

Decision checkpoints for Cost Management
"Traditional decision-making process involves I. Adoption of standard operating procedure.
II. Incorporation and imbibing well-de ned information channels in the organizational structure.
III. Taking decisions by habit.
IV. Deciding through intuition, creativity, and judgment.
V. Training the selected executives in decision-making.
The traditional decision-making result in high ambiguity and individual domination. After COVID-19, the digitalization of the workforce results in a shift towards data-driven decision-making in construction.
Digital technologies enable greater collaboration among the workforce, control of value chain, and encourage innovations. Digitalizing the workforce will change the way of organization operation, design, planning, and client relationship. The use of the Internet of Things (IoT) in the construction site and the resource will increase data availability. The data related to productivity, safety, the operation can increase the site management and helps the higher management to decide to analyze the data.
The data can be feed into the BIM, where the behavior of the object of the building can be understood from a broader perspective. Virtual simulation using the digital twin adds dimensions like cost, time, sustainability, facility management in the early stage of the project rather than during the construction stage. These virtual objects can help the client make decisions like material selection, performing factors of the structure.
The comprehensive data from the construction can be stored and shared with the construction partner using the data centers. In India, the data center and its infrastructure are gaining much importance, and it will play a signi cant role in integrating the fragmented Indian construction industry.
McKinney & the company have modi ed the way of deciding the COVID-19 Pandemic. The McKinsey &Company report summary is speeding up the decision-making process by data-driven decision-making, greater collaboration using the digital tools, less hierarchical organizational structure, empower team, Hybrid working, realigning the roles and responsibility of higher-level managers and leaders to promote more modernized ideas.

Decision Support System
A decision support system is a computerized tool that helps increase the effectiveness of the decisionmaking 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 pro tability in the construction project is The decision support is shortlisted from the literature review for the ve rules and responsibilities of the commercial manager. The shortlisted decision system will enable the data-driven decision-making process to increase the project's pro tability and success rate. 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 identi ed 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 in uences 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.

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 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 de nes the effectiveness of the decision proposed by the DSS.
The bene ts 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.

Knowledge Building
For the repetitive decision made in the project, the information and documents needed for the decisionmakers shall be easily identi ed 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 classi cation, 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.

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 pro tability 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 pro tability. It helps make e cient and take faster decisions by making available relevant cost information and prediction at the right time to the commercial manager. The signi cant 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 pro tability and to establish the group system support which consists of data mining, model management to analyze the big data available from the construction site.

Declarations
Competing interests: The authors declare no competing interests.   Effective decision-making attributes