This study examines tender bidding strategies and cost management practices in public civil maintenance projects within Ahmedabad, with a specific focus on frameworks governed by entities such as Hindustan Petroleum Corporation Limited (HPCL). Using a structured questionnaire survey of 100 respondents, comprising public contractors and project managers, the research investigates bidding behaviour, cost management techniques, and execution challenges. Quantitative data were analysed through SPSS, employing statistical tools including the Chi-square test to explore the relationship between contractor experience and bidding strategies. The findings reveal that although the Lowest Bid (L1) approach dominates due to its simplicity and competitiveness, experienced contractors increasingly favour Quality and Cost-Based Selection (QCBS) for ensuring long-term efficiency and project success. Cost overruns remain prevalent, often resulting from limited adoption of modern cost-tracking technologies and unforeseen on-site challenges. The study underscores the significance of strategic bid planning, early cost estimation, and the integration of digital tools such as ERP systems for effective cost control. By highlighting the influence of contractor experience, policy frameworks, and resource planning on tender outcomes, this research provides valuable insights for contractors, project managers, and policymakers. It contributes to enhancing sustainability, efficiency, and transparency in public civil maintenance projects in Ahmedabad.
In today’s growing urban environment, public civil maintenance plays a crucial role in preserving the quality and functionality of infrastructure such as roads, drainage systems, public buildings, and utility structures. In cities like Ahmedabad, where infrastructure expansion is rapid due to urbanization, the timely and efficient maintenance of civil assets becomes essential to ensure public safety, maintaining infrastructure and continuity of services.
This industry is a crucial segment of the construction and infrastructure sector that focuses on preserving, repairing, and enhancing existing structures. It encompasses a wide range of activities aimed at preventing deterioration, addressing defects, and improving the efficiency of structures. It also plays an important role in maintaining public and private infrastructure. Without proper maintenance, the structures can degrade, which leads towards increased costs, safety hazards, and operational disruptions.
Key Sectors involved
Stakeholders
Naik, S. & Kulkarni, A. (2021) “Cost Control Techniques and Tender Bidding Strategy Used in Urban Public Infrastructure Maintenance” This study reviews cost control practices used by municipal corporations in urban India, especially for road and drainage maintenance. It outlines the use of periodic audits and tender design formats as cost-containment strategies. The authors concluded that effective cost control in urban infrastructure maintenance requires a combination of financial monitoring, and strategic procurement design to ensure efficiency and accountability in public works.
Pooja R.B. & Dr. Pankaj P.B. (2024) “Evaluation of Effective Tendering Process for Contractors” This research paper evaluates the tendering process in the construction industry, focusing on the challenges and importance of effective procurement strategies. The authors discusses the impact of different tendering practices on project cost and efficiency. It concludes that adopting strategic, fair, and performance-oriented tendering practices is essential to ensuring value-for-money outcomes in construction projects and for building long-term trust between contractors and clients.
Mohit Singh, Hirendra Pratap Singh & Rakesh Sakale (2024) “Effective Tendering Process Management in Construction Projects” This study highlights about how a successful project's completion depends on several factors, including the value of the bid documents, a fair bidding procedure, and the choice of contractor to ensure its transparency. The authors concluded that effective tendering management built on clarity, fairness, and accountability; significantly enhances project outcomes, reduces risks, and builds trust among stakeholders in the construction industry.
Y.R Shweta, V. Pramadha & C. K. Rabindranadh (2025) “A Study on Cost Management Practices in Indian Construction Projects” This research paper shows factors which affecting cost performance in Indian construction projects. It identifies the success factors and emphasizes the role of effective cost management practices. The study analysed and recommends enhancing project manager competencies and implementing robust monitoring systems to improve cost performance of the project.
RESEARCH OBJECTIVES
SCOPE OF THE STUDY
Geography: The research was conducted in Ahmedabad – a rapidly growing urban city with a huge infrastructure facilities market.
Target Audience: Public Contractors & Project Managers.
RESEARCH DESIGN
This descriptive design is used to systematically collect and present data on bidding strategies and cost management practices used in public civil maintenance projects.
SAMPLING METHOD
This research used purposive sampling technique was applied to select a group of public contractors and project managers, who were specifically selected for their deep knowledge and insights for bidding strategies and cost management practices in public civil maintenance industry.
SAMPLE POPULATION
The population for this study comprises individuals and professionals actively engaged in the tendering process of public civil maintenance projects within the Ahmedabad region. The primary focus is on public contractors and project managers, as they are the frequent participants in civil tenders.
SAMPLE SIZE
The study aimed to collect data from 100 of total respondents:
DATA COLLECTION SOURCES
The primary data collection sources is used for this study.
BENEFICIARIES OF THE STUDY
This study is expected to be beneficial to multiple stakeholders involved in public civil maintenance projects. Each of them can gain insights into effective bidding strategies, cost control methods, and the overall dynamics of project procurement.
Visual Executive Summary
Category |
Key Insights |
Respondent Profile |
79% Public Contractors, 21% Project Managers |
Experience Level |
39% have 6–10 yrs, 35% have 2–5 yrs, only 8% <2 yrs |
Tender Participation |
Most participate 'Often' or 'Always' in tenders |
Sources of Tender Notices |
Govt portals are main source (94 responses) |
Bidding Focus |
Top factors: Project size (100), Resources (97), Legal Compliance |
Bid Preparation Time |
Majority prepare bids within 1–2 days |
Bidding Strategies |
Dominated by Lowest Bid & Competitive bidding; QCBS emerging |
Cost Estimation |
Almost all prepare detailed cost estimates before bidding |
Cost Overruns |
32% Sometimes, 32% Rarely, 29% Never face overruns |
Cost Control Methods |
Manual tracking (35%) & Audits (38%) common; 23% software |
Post-Project Audits |
Most conduct audits (Always/Often/Sometimes) |
Importance of Cost Control |
98% rate cost control as Important or Very Important |
Impact of Strategy on Success |
70% Agree/Strongly Agree strategy aids success |
Tender Winning Practices |
Winning tenders: 55% Often, 27% Always due to practices |
Challenges Despite Planning |
Mixed views: 19% Agree, 31% Neutral, 50% Disagree/Strongly Disa |
(1) How many years of experience do you have in Civil Maintenance Projects? Which tender bidding strategy do you use often? (1= least used, 5= most used)
[Lowest Bid (L1)]
Crosstab |
||||||
Count |
||||||
|
How many years of experience do you have in Civil Maintenance Projects? |
Total |
||||
Less than 2 years |
2-5 years |
6-10 years |
More than 10 years |
|||
Which tender bidding strategy do you use often? (1= least used, 5= most used) |
1 |
0 |
0 |
1 |
0 |
1 |
2 |
1 |
1 |
9 |
5 |
16 |
|
3 |
0 |
3 |
6 |
2 |
11 |
|
4 |
3 |
14 |
16 |
3 |
36 |
|
5 |
4 |
17 |
7 |
8 |
36 |
|
Total |
8 |
35 |
39 |
18 |
100 |
Chi-Square Tests |
|||
|
Value |
df |
Asymp. Sig. (2-sided) |
Pearson Chi-Square |
18.096a |
12 |
.113 |
Likelihood Ratio |
21.817 |
12 |
.040 |
Linear-by-Linear Association |
6.094 |
1 |
.014 |
N of Valid Cases |
100 |
|
|
a. 12 cells (60.0%) have expected count less than 5. The minimum expected count is .08. |
Table 5.2.1
Interpretation:
As shown in the Table 5.2.1, p-value in the “Asymp. Sig. (2-sided)” is 0.113 which is 0.113>0.05, so accept the null hypothesis. The test result shows that there is no significant difference between the experience level of new and old contractors that affects their choice of bidding strategies.
(2) How many years of experience do you have in Civil Maintenance Projects? Which tender bidding strategy do you use often? (1= least used, 5= most used)
[Quality and cost based (QCBS)]
Count |
|||||||
|
Which tender bidding strategy do you use often? (1= least used, 5= most used) |
Total |
|||||
1 |
2 |
3 |
4 |
5 |
|||
How many years of experience do you have in Civil Maintenance Projects? |
Less than 2 years |
4 |
3 |
1 |
0 |
0 |
8 |
2-5 years |
10 |
17 |
4 |
3 |
1 |
35 |
|
6-10 years |
4 |
8 |
10 |
11 |
6 |
39 |
|
More than 10 years |
0 |
3 |
7 |
5 |
3 |
18 |
|
Total |
18 |
31 |
22 |
19 |
10 |
100 |
Chi-Square Tests |
|||
|
Value |
df |
Asymp. Sig. (2-sided) |
Pearson Chi-Square |
32.619a |
12 |
.001 |
Likelihood Ratio |
37.104 |
12 |
.000 |
Linear-by-Linear Association |
24.121 |
1 |
.000 |
N of Valid Cases |
100 |
|
|
a. 11 cells (55.0%) have expected count less than 5. The minimum expected count is .80. |
Table 5.2.2
Interpretation:
As shown in Table 5.2.2, p-value in the “Asymp. Sig. (2-sided)” is 0.001 which is 0.001<0.05, so reject the null hypothesis. The test result shows that there is significant difference between the experience level of new and old contractors that affects their choice of bidding strategies. This shows that experienced; old contractors use QCBS compared to any other bidding strategy.
(3) How many years of experience do you have in Civil Maintenance Projects? Which tender bidding strategy do you use often? (1= least used, 5= most used)
[Competitive bidding]
Crosstab |
||||||||
Count |
||||||||
|
Which tender bidding strategy do you use often? (1= least used, 5= most used) |
Total |
|
|||||
1 |
2 |
3 |
4 |
5 |
|
|||
How many years of experience do you have in Civil Maintenance Projects? |
Less than 2 years |
0 |
1 |
0 |
6 |
1 |
8 |
|
2-5 years |
1 |
1 |
4 |
25 |
4 |
35 |
|
|
6-10 years |
0 |
5 |
18 |
13 |
3 |
39 |
|
|
More than 10 years |
0 |
4 |
3 |
10 |
1 |
18 |
|
|
Total |
1 |
11 |
25 |
54 |
9 |
100 |
|
Chi-Square Tests |
|||
|
Value |
df |
Asymp. Sig. (2-sided) |
Pearson Chi-Square |
24.585a |
12 |
.017 |
Likelihood Ratio |
26.807 |
12 |
.008 |
Linear-by-Linear Association |
5.200 |
1 |
.023 |
N of Valid Cases |
100 |
|
|
a. 15 cells (75.0%) have expected count less than 5. The minimum expected count is .08. |
Table 5.2.3
Interpretation:
As shown in Table 5.2.3, p-value in the “Asymp. Sig. (2-sided)” is 0.017 which is 0.017<0.05, so reject the null hypothesis. In this test result shows that there is significant difference between the experience level of new and old contractors that affects their choice of bidding strategies. This shows that both old & new contractors use competitive bidding but still there is a noticeable difference where new contractors uses it more often than old contractors.
(4) How many years of experience do you have in Civil Maintenance Projects? Which tender bidding strategy do you use often? (1= least used, 5= most used)
[Negotiated bidding]
Crosstab |
||||||
Count |
||||||
|
Which tender bidding strategy do you use often? (1= least used, 5= most used) |
Total |
||||
1 |
2 |
3 |
4 |
|||
How many years of experience do you have in Civil Maintenance Projects? |
Less than 2 years |
3 |
3 |
0 |
2 |
8 |
2-5 years |
8 |
19 |
8 |
0 |
35 |
|
6-10 years |
5 |
23 |
9 |
2 |
39 |
|
More than 10 years |
1 |
8 |
9 |
0 |
18 |
|
Total |
17 |
53 |
26 |
4 |
100 |
Chi-Square Tests |
|||
|
Value |
df |
Asymp. Sig. (2-sided) |
Pearson Chi-Square |
22.749a |
9 |
.007 |
Likelihood Ratio |
21.243 |
9 |
.012 |
Linear-by-Linear Association |
3.209 |
1 |
.073 |
N of Valid Cases |
100 |
|
|
a. 9 cells (56.2%) have expected count less than 5. The minimum expected count is .32. |
Table 5.2.4
Interpretation:
As shown in Table 5.2.4, p-value in the “Asymp. Sig. (2-sided)” is 0.007 which is 0.007<0.05, so reject the null hypothesis. In this test result shows that there is significant difference between the experience level of new and old contractors that affects their choice of bidding strategies. This shows that old contractors use negotiated bidding more than the new contractors.
Findings for this study revealed several key insights into how public civil maintenance contractors in Ahmedabad approach tender bidding and cost management. It was found that majority of contractors, especially small and mid-sized firms, still follow traditional bidding practices, focusing primarily on submitting the lowest bid (L1) to win tenders. Most contractors actively participate in tenders, regularly monitor tender notices, and prepare cost estimates before submission. However, still there are situations where they encounter cost overruns by a sizable amount despite having detailed cost plans, indicating possible execution-level inefficiencies. Manual cost tracking and periodic audits were more common than advanced software usage, showing a gap in digital adoption. Overall, contractors believe that their bidding strategy contributes to project success, but still many contractors faces cost overruns while project execution even with well-planned strategies due to the lack of robust cost control mechanism.
This study concludes that tender bidding strategies and cost management play a vital role in the success of public civil maintenance projects. Level of experience greatly influences the choice of bidding methods, and while cost control practices are widely acknowledged, their execution still faces challenges, especially among less experienced contractors. The data highlights that although current practices often result in successful tenders, there is still considerable amount of room for improvement in strategic planning, technology adoption, and financial monitoring. By aligning bidding strategies with project demands and implementing structured cost management systems, contractors and public agencies can enhance project outcomes, reduce cost overruns, and ensure better infrastructure development in cities like Ahmedabad. This research thus offers a useful foundation for policymakers aiming to improve the public procurement landscape in civil maintenance industry.