Purpose
Construction projects in the real estate sector are important for a nation’s economic growth. However, owing to several constraints and stereotypes, the construction industry is suffering from major capital losses. A review of recent literature revealed that risks occurring in real estate construction projects (RECPs) carried out in developing economies can be divided into four categories, i.e. financial risks, design risks, execution risks and sociopolitical risks. This study aims to identify the critical factors that lead to these risk categories and develop a control structure for RECPs.
Design/methodology/approach
A quantitative method, i.e. a questionnaire-based survey, was used for this study. Using a random sampling technique the questionnaire was distributed to selected, highly experienced project managers. To determine whether the factors identified as part of the literature review strongly influence the categories, the factor analysis of the observations was performed.
Findings
The observations made in this study lead to the identification of six critical risk causing factors, i.e. lack of efficient planning, execution constraints, external constraints, client-induced constraints, project constraints and partner experience. The observations indicated a lack of knowledge of project management, organizational culture and a claims redressal mechanism in RECPs. Also, this study recommends a blockchain-based control structure to control the occurrence of the risk causing factors identified.
Originality/value
This study recommends a blockchain-based control structure for controlling the risks occurring.
Background:
The identification of nearby neurovascular structures is a vital part of dental implant treatment planning. Commonly two implants are placed in the mandibular inter foraminal region to support the overdenture. Placing dental implants in this region is considered relatively safe. The purpose of this study was to employ cone beam computed tomography (CBCT) on a representative sample of Northeast Indians to find out the location and distribution of lingual foramen in the anterior mandible.
Study Design:
A total of 104 CBCT scans were performed using the Cranex 3D CBCT system. Three Oral and Maxillofacial Radiologists agreed on a visibility grade for assessing the lingual foramen using a 3-point scale. The number and presence of foramina were noted. On cross-sectional pictures, the distance in millimeters between the crest of the alveolar ridge and the superior cortical margin of the foramen was determined. Furthermore, the analysis of the distribution of lingual foramina in terms of frequency and percentages was performed.
Results:
Scan results showed that the lingual foramen was clearly visible in 65.4% of cases, somewhat visible in 12.5% of scans, and not visible at all in 22.1% of cases. Half of the people in the study had two foramina, whereas 27.9 percent had one and 22.1 percent had none. The mean distance from the crest of the alveolar ridge was 10.84 mm in males whereas 9.91 mm in females
Conclusion:
The Northeast Indian population exhibits an unusually high prevalence of lingual foramen in the anterior portion of the mandible. This research will aid in the precise pre-operative identification of the position and number of lingual foramina prior to surgical treatments involving the midline of the mandible.
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