Technologies are used in the both such as manufacturing and construction that has changed the entire industrial sectors (Amaratunga, Haigh, Malalgoda & Keraminiyage, 2016). The planning of construction is a complex activity for the management of construction projects because it includes the selection of advanced technologies, assessment of required resources, estimation of completion time etc. (Yang, 2018). In this context, construction is the process of handling and assembling of material as well as tools in a complete operational facility of the project. Information technology has a contribution to the transformation of industrial society into an information society because technology is affecting businesses at a large extent. In this regard, digitalization in each sector is changing the face of the competition in the world. (Sommer, 2015; Hongyan, Dayi, Yun, Jianlin & Shuai, 2011). In this context, digitalization has entered into construction industry to reduce the risk and protection of the workers at the site.
Digitalization in construction has been changed the industry dynamics because it develops the opportunities and challenges for the project management in context of power positions, shifting of roles and responsibilities etc. The involvement of digitalization in construction is strengthening the relevant industry because it is contributing to quality measurement by improving the efficiency of the equipment and processes. Moreover, few of the studies reveals that there is a positive relationship between digitalization and quality aspects of construction. Additionally, the work is performed on the basis of quality standards that are associated with Total Quality Management (TQM) tool (Ablikim et al., 2010; Karyotakis & Moustakis, 2014). Furthermore, the involvement of digitalization in construction helps to minimize the time, cost; however, the cost for small sized construction companies is maximized by using digital tools because it enhances the overall cost of the construction project by involving the heavy equipment in small construction projects (Hong, Xue & Thottethodi, 2011).
Digitalization required in the construction of the bridge and large buildings because they require innovations in the designs (Ibem & Laryea, 2014). The risk for the human beings reduces due to use of the digital tools in large construction because it involves the 3D modeling and digital engineering for the infrastructure of the buildings. Further, digitalization is helpful for the construction projects because it relates to implementation of quality measurements in construction. Moreover, the quality improves by involving the efficient material handling that is helpful to avail the material on time at the location of the site (Harris & McCaffer, 2013). However, it is not easy for companies to implement digitalization in construction because it increases the number of issues and challenges related to the operation of the tools, lack of digital education, low budget etc. Moreover, it also deals with a major problem related to the legacy system in the implementation of digitalization (Maciel, 2011). To implement the digital tools, the company has to follow the legal rules and have to take the authentic right to use the digital tool for the construction of buildings.
Workers resist to accept the change in the construction of involvement of digitalization because it generates a fear in the workers that a replacement of workers can take place after implementing digital tools. However, the fear can be reduced by effective interaction with workers. and providing required training to existing workforce to operate the digital tools in the construction. It might be possible that employees easily accept the digitalization as well as morale of the workers can be boosted. Therefore, it shows that digitalization in construction has a major impact on quality delivery and improvement in the consumption of excess of time. However, it requires authentic permission as per the legal rules to implement the digitalization in the construction company.
The aim and objectives of the study are as follows-
Aim
To critically analyze the impact of digitalization on quality management aspects in construction projects
The objectives of the study will be as follows-
The quality of construction is affected by the involvement of advanced technologies from inception to completion of the project. Quality measurements in the construction are based on the innovative tools and aspects to maintain the standard of the quality (Becerik-Gerber, Jazizadeh & Calis, 2011). Here, the study will be conducted to assess the impact of digitalization on quality management aspects in construction projects. By conducting the current study, it will be easy for the project managers to learn about the process of digitalization. Further, the knowledge regarding use of different types of digital tool will also be developed in project manager. Moreover, it would be helpful for the construction companies to assess the importance of quality aspects by incorporating the digital tools in construction. On the other hand, the current study will also provide the outcomes regarding of use and implications of digital tools. Additionally, it will also generate the competitiveness for the construction companies in the market.
Quality assurance process is required to measure the quality plan and to control the quality standards. Here, the importance of quality management in construction are explained as follows-
Kerzner (2004) stated that quality management is important for the construction projects which is directly associated with the life cycle of the projects. If the project manager uses the quality assurance techniques in the construction then it affects the overall quality outcome of the construction projects. On a contrary, Hannure & Kulkarni (2014) asserted that fake construction projects take place if the quality aspects are not involved as per the required standards. Additionally, the occurrence of errors in the construction arises frequently which leads to cost for the contractors as well as owners of the projects. Nonetheless, Harrington, Voehl & Wiggin (2012) mentioned that quality concepts require to implement new designs, structures which demanded the involvement of skilled workers in the project teams. However, Olawale & Sun (2010) examined that quality management in the construction industry can be achieved by fulfilling the requirements of the designers, government agencies, contractors, owners etc. Therefore, it indicates that quality management can be achieved by quality assurance tools and employing the skilled workers in the project teams. However, the level of quality standards can be reduced by delaying in fulfilling the expectations of the parties of construction projects.
Several digital tools used in the construction projects, out of them there are two digital tools such as Building Information Modeling, System Application and Product has been described in following manner-
The implementation of digitalization is not an easy task because the companies deal with different issues involving legacy system, resistance to change and low budget, lack of digital education etc. All these issues and challenges are as follows-
Research methodology is used to understand and application of different methods, designs, approaches, data collection tools etc. in the study. The current study’s research methodology will be as follows in a prescribed manner-
Basically, there are two types of research studies involving qualitative and quantitative. A quantitative study based on the application of statistical tools and test to derive the optimum outcomes of the study. However, the qualitative study provides a huge description regarding social constructs because it is used to derive the vast information about the research problem (Neuman, 2013). In a quantitative study, researcher measure the data by applying ANNOVA, t-test, Chi-square etc. to get the optimum and relevant results of the study whereas in qualitative study researcher is not allowed to use the technical tools and tests because it is based on in-depth analysis of the study (Saunders, 2011). By considering the importance of both studies, the current study will prefer the mixed methods like qualitative and quantitative because it would enable to better understand the socially constructed environment. With the help of mixed methods, the researchers can get the detail information regarding the implementation of digitalization and impact on the quality of construction industries will be easily found by applying the correlation technique. In this manner, an effective relation can be found between digitalization and the impact on quality aspects. Moreover, if the company will use digitalization then the quality will improve and vice versa. Hence, the use of mixed methods for the current study will be justifiable.
Research philosophy is related to beliefs and assumptions that affect the whole process of research to investigate the reality of the research problem (Saunders, 2011). Fundamentally, two types of research philosophies used by the researcher such as interpretivism and positivism on the basis of need of the study. By considering this, the researcher is allowed to use own ideas and experience regarding the research problem in interpretivism philosophy; however, in positivism researcher found the results on the basis of facts and figures which depends on the application of statistical tools (Petty, Thomson & Stew, 2012). At this juncture, the current study will use the interpretivism philosophy to understand the digitalization and its impact on the quality aspects of construction. Here, the use of positivism is not suitable for the current study because researcher will be biased towards the achieved results of facts. On the other hand, with the help of interpretivism philosophy, the researcher will be able to get the effective outcomes regarding the digitalization because people will state the detail information related to benefits, issues, the risk of the digitalization and effects on the quality that it improves or reduces. Thus, the adoption of interpretivism philosophy will be appropriate for the current study.
Predominantly, research designs are a performa which provide the clue regarding the criteria of entire study through which researchers focuses on the achievement of aim (Saunders, 2011). Here, three types of research designs adopted by researchers like exploratory, explanatory, descriptive designs. In this context, descriptive research designs based on social interaction with participants to observe the detail information regarding the research problem (Wildemuth, 2016). Further, explanatory research design creates a cause and effect relationship between the variables of the study; nonetheless, exploratory designs has a support to develops the new aspects and perception regarding the research problem (Akkermans & Vos, 2003; Harrison & Reilly, 2011). Here, the current study will adopt the explanatory research design because the study has two variables such as digitalization and impact on the quality of the construction which shows that quality depends on the implementation of digitalization. Moreover, a positive relationship will be found between digitalization and quality because digitalization improves the quality of products. In this situation, exploratory research design would not be appropriate to use because it requires to apply scientific tools to experiment new insights for the research. Thus, the use of explanatory design will be justifiable for the current study.
Substantially, there are two types of research approaches such as inductive and deductive that are preferred by the researcher as per the objective of the study. In this regard, the inductive approach basically commences with specific information and ends with generalization by in sighting detail information regarding research problem (Saunders, 2011). However, deductive approach begins with general information and comes to specific information by eliminating the unwanted and ineffective elements of the study (Gioia, Corley & Hamilton, 2013). Apart from this, the inductive approach is used in the qualitative study; however, the deductive approach is demanded in the quantitative study because it uses different statistical tools to derive the exact outcomes. By considering the weightage of both approaches, the current study will use a inductive approach because it will provide the specific information regarding the use of digitalization and impact on the quality of construction. In an inductive approach, the researcher will get merely theoretical aspects of the digitalization. This would offer an opportunity to provide the in-depth analysis on the basis of collected outcome. Thus, the selection of inductive approach will be suitable.
There are two types of data collection methods like primary and secondary that are used to collect the information relevant to the study. In this regard, primary data can be collected by survey, interview, observation etc. to collect the fresh and new information whereas secondary data can be collected through literature review, annual reports, printed and online sources etc. (Ridyard & Hughes, 2010). Here, for the current study, primary data will be collected by questionnaire because it takes less time and cost in comparison to another method. Moreover, a list of questions would be prepared in an easy to understand language that would be helpful for respondents to give the exact answers regarding the research problem. On the other hand, a interview would not be appropriate for the current study because it demand extensive time. Besides this, secondary data will be derived by literature review by referring authentic sources for the study such as online journals, books, newspaper etc.
Sampling is the procedure of selecting the respondents for providing the evidence to carry out the analysis in the study(Fuller, 2011). There are two types of sampling techniques including probabilistic and non-probabilistic sampling. In probabilistic sampling, there remain equal chances for all the elements to get selected whereas in non-probabilistic sampling, there are no equal opportunities for all the elements to get selected from the population (Aven, Baraldi, Flage & Zio, 2013). Here, probabilistic sampling includes simple random, stratified, cluster, systematic etc.; however, convenience, quota, judgmental, purposive sampling used in the non-probabilistic technique. In the current study, simple random sampling will be used by the researcher by involving civil engineers as participants of the study. Moreover, civil engineers will be selected to know about the impact of digitalization on quality of construction because the engineers would be able to dictate clear information regarding the data of before and after implementation of digitalization on sites. Owing to this, 10 civil engineers would be selected on a random basis. In this manner, a close relationship would be found between the research problem and the expected outcomes of the study. Thus, the use of probabilistic simple random sampling technique would be suitable for the current study for the achievement of the aim of the study.
Data analysis is used to evaluate the collected data that is helpful to get the essence of the study. Data analysis has a major contribution in the attainment of the aim and objectives of the research. Moreover, data analysis can be done by two methods qualitative and quantitative approach which are selected by the researcher according to the nature of the study. In this context, quantitative approach involved the scientific, statistical test and tools to derive the adequate and attractive results of the study (Saunders & Lewis, 2012). On the other hand, qualitative analysis based on the thematic analysis by fulfilling the questionnaire of the relevant study. With the help of the qualitative data analysis, it would be convenient for the researcher to obtain in-depth information from the analysis. At this juncture, the current study will be based on the qualitative analysis along with the involvement of specific themes that would be helpful to effectively analyze the collected data. Furthermore, effective themes would be prepared by considering the objectives of the research and data will be demonstrated on frequency tables. Hence, the use of thematic analysis will be supportive to achieve the research objectives along with attainment of authentic results by incorporating the primary data.
The research deal with the several issues at the time of conduction of study due to less interest of the respondents. Moreover, the participants do not get ready to provide all relevant and actual information regarding the research problem. Further, lack of time is also a major limitation for the study because several activities are completed in the limited time span. Apart from this, many sites do not permit researcher to surf particular site due to unauthentic access. On the other hand, the collection of primary also demands extensive time to collect the fresh data from the respondents. Owing to this, questionnaire method will be used so as to consume the less time in the process of data collection. Also, the issue related to data collection procedure from the end of participants will be resolved by considering their convenience.
Ethics related to differentiating the rules and principles of right and wrong aspects (Ponterotto, 2010). In this regard, the current study follows the ethical principles and laws. As per the ethical norms, the data will be collected by two sources for the authenticity of the research. Here, primary data of the study will be collected from conducting questionnaire and the secondary data will be collected by the literature review of the study related to digitalization and impact on the quality outcomes of construction. For the authenticity of the study, relevant sources will be used such as journals, books, professionals’ sites etc. Moreover, it shows that the study will be based on the ethical considerations and nothing will be directly copied from the sources; however, relevant reference list will be attached along with the report. Apart from this, the name and other private information of the respondents will not be displayed in the research and all the records as well as data will be maintained on a secret basis.
Timeframe refers to the period of time that is expected to complete the research plan in a specific range along with the achievement of the purpose of the study (Riley, McKevitt, Shriver & Allen, 2011). In this context, it has been expected that the current research plan would be completed in 6 months (February to July) 2019 to analyze the impact of digitalization in construction (refer table 1).
Table 1: Expected time schedule for the research plan
|
Activities/Weeks |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
|
Setting research objectives |
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|
Developing a research proposal |
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|
Drafting Introduction |
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Applying research methodologies |
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Planning for data collection |
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Collecting primary and secondary data |
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Evaluating and analyzing collected data |
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|
Drafting conclusions |
References
Ablikim, M., An, Z. H., Bai, J. Z., Berger, N., Bian, J. M., Cai, X., … & Chen, G. (2010). Design and construction of the BESIII detector. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 614(3), 345-399. <https://arxiv.org/ftp/arxiv/papers/0911/0911.4960.pdf>
Akkermans, H., & Vos, B. (2003). Amplification in service supply chains: An exploratory case study from the telecom industry. Production and Operations Management, 12(2), 204-223. <https://pure.tue.nl/ws/portalfiles/portal/2111756/554360.pdf>
Amaratunga, D., Haigh, R., Malalgoda, C., & Keraminiyage, K. (2016). Knowledge gaps in the construction industry to increase societal resilience to disasters. Massey University/The University of Auckland. < https://eprints.hud.ac.uk/id/eprint/30634/1/CADRE.pdf>
Aven, T., Baraldi, P., Flage, R., & Zio, E. (2013). Uncertainty in risk assessment: the representation and treatment of uncertainties by probabilistic and non-probabilistic methods. John Wiley & Sons. <https://books.google.co.in/books?hl=en&lr=&id=_zRmAgAAQBAJ&oi=fnd&pg=PT6&dq=Uncertainty+in+risk+assessment:+the+representation+and+treatment+of+uncertainties+by+probabilistic+and+non-probabilistic+methods&ots=S72loquSK_&sig=iHTIcH1Fdpjw4GwL79lVCDkmbnI#v=onepage&q=Uncertainty%20in%20risk%20assessment%3A%20the%20representation%20and%20treatment%20of%20uncertainties%20by%20probabilistic%20and%20non-probabilistic%20methods&f=false>
Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and management in engineering, 11(3), 241-252. <https://ascelibrary.org/doi/pdf/10.1061/(ASCE)LM.1943-5630.0000127>
Bates, A. W., Bates, T., & Sangra, A. (2011). Managing technology in higher education: Strategies for transforming teaching and learning. John Wiley & Sons. <https://books.google.co.in/books?hl=en&lr=&id=sWnrBgAAQBAJ&oi=fnd&pg=PR10&dq=Managing+technology+in+higher+education:+Strategies+for+transforming+teaching+and+learning.&ots=79rseOBut3&sig=IbYe7Zw254-ZSIh7N4cN6vH_Y54#v=onepage&q=Managing%20technology%20in%20higher%20education%3A%20Strategies%20for%20transforming%20teaching%20and%20learning.&f=false>
Becerik-Gerber, B., Jazizadeh, F., Li, N., & Calis, G. (2011). Application areas and data requirements for BIM-enabled facilities management. Journal of construction engineering and management, 138(3), 431-442. < https://ascelibrary.org/doi/abs/10.1061/(ASCE)CO.1943-7862.0000433 >
Bryde, D., Broquetas, M., & Volm, J. M. (2013). The project benefits of building information modelling (BIM). International journal of project management, 31(7), 971-980. <https://s3.amazonaws.com/academia.edu.documents/38560079/The_project_benefits_of_BIM.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1544775860&Signature=w73Uvm9FpfCAZcIaTe%2FpGMdmqB8%3D&response-content-disposition=inline%3B%20filename%3DThe_project_benefits_of_Building_Informa.pdf>
Chen, L., & Luo, H. (2014). A BIM-based construction quality management model and its applications. Automation in construction, 46, 64-73. <https://www.sciencedirect.com/science/article/pii/S0926580514001204>
Chileshe, N., & Watson, P. (2001). An Investigation into the Application of Total Quality Management Within Small & Medium Sized Constructional Organisations. In First International Structural Engineering and Construction Conference (pp. 227-232). <https://www.researchgate.net/profile/Nicholas_Chileshe/publication/262336560_An_investigation_into_the_application_of_total_quality_management_within_small_and_medium_sized_constructional_organisations/links/541e513e0cf2218008d1e2be/An-investigation-into-the-application-of-total-quality-management-within-small-and-medium-sized-constructional-organisations.pdf>
Chileshe, N., & Watson, P. (2003). A survey of TQM implementation within UK Construction SME (Doctoral dissertation, CITC-II). <https://www.researchgate.net/profile/Nicholas_Chileshe/publication/262336484_A_Survey_of_TQM_Implementation_within_UK_Construction_SMEs/links/00b4953753dcd73d6d000000/A-Survey-of-TQM-Implementation-within-UK-Construction-SMEs.pdf>
Cooper, J. A. G., & Pile, J. (2014). The adaptation-resistance spectrum: a classification of contemporary adaptation approaches to climate-related coastal change. Ocean & coastal management, 94, 90-98. <https://s3.amazonaws.com/academia.edu.documents/35400043/ocean-cst-mgmt_94_90-98_Cooper_Pile_pre-print_OCMA-D-13-00130R1.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1544776055&Signature=%2FhNfLhZavVMNxwaGrqzbDkNTYTM%3D&response-content-disposition=inline%3B%20filename%3DThe_adaptation-resistance_spectrum_A_cla.pdf>
Cosma, M., Iannello, S., Gianluca, E., Sirio, C., & Christian, C. (2018). Implementation of Arca ERP Software to Efficient Manage of Construction Sector Inside the COSMA Impianti Srl. <https://www.m-hikari.com/ces/ces2018/ces57-60-2018/p/cosmaCES57-60-2018.pdf>
Curry, E., O’Donnell, J., Corry, E., Hasan, S., Keane, M., & O’Riain, S. (2013). Linking building data in the cloud: Integrating cross-domain building data using linked data. Advanced Engineering Informatics, 27(2), 206-219. <https://s3.amazonaws.com/academia.edu.documents/41524058/Linking_building_data_in_the_cloud_Integ20160124-26435-1mfp5qv.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1544779108&Signature=6wwtpMU7cXv4GgwL6Bn05T4uvbM%3D&response-content-disposition=inline%3B%20filename%3DLinking_building_data_in_the_cloud_Integ.pdf>
Demailly, C. (2014). Shaping the organization of the future. People and Strategy, 37(1), 54. <https://www.earlystrategies.com/wp-content/uploads/2011/04/HRPS-37.1-Demailly.pdf>
Dillon, T., Wu, C., & Chang, E. (2010, April). Cloud computing: issues and challenges. In Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on (pp. 27-33). <https://sistemas-humano-computacionais.wdfiles.com/local–files/capitulo%3Asistemas-de-servico/Dillon2010.pdf>
Doloi, H. (2012). Cost overruns and failure in project management: Understanding the roles of key stakeholders in construction projects. Journal of construction engineering and management, 139(3), 267-279. <https://www.researchgate.net/profile/Hemanta_Doloi/publication/258141024_JCEM_Doloi_2013/links/00b7d5271b6f86690c000000.pdf>
Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons. <https://s3.amazonaws.com/academia.edu.documents/31207284/BIM_Handbook_1st.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1544775813&Signature=XFpm31ouPkiaksx0Jx3cW0fp5jo%3D&response-content-disposition=inline%3B%20filename%3DBIM_handbook_A_guide_to_building_informa.pdf>
Fuller, W. A. (2011). Sampling statistics (Vol. 560). John Wiley & Sons. <https://books.google.co.in/books?hl=en&lr=&id=_V62HMLJ94cC&oi=fnd&pg=PT7&dq=Sampling+statistics+by+Fuller&ots=NSoNPApqTU&sig=_iEZ5JaDbmW8zXs4oRs1PBFd7jY#v=onepage&q=Sampling%20statistics%20by%20Fuller&f=false>
Ghaffarianhoseini, A., Tookey, J., Ghaffarianhoseini, A., Naismith, N., Azhar, S., Efimova, O., & Raahemifar, K. (2017). Building Information Modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges. Renewable and Sustainable Energy Reviews, 75, 1046-1053. <https://www.sciencedirect.com/science/article/pii/S1364032116308413>
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational research methods, 16(1), 15-31. <https://www.researchgate.net/profile/Kevin_Corley/publication/258174099_Seeking_Qualitative_Rigor_in_Inductive_Research/links/53eced270cf2981ada110421/Seeking-Qualitative-Rigor-in-Inductive-Research.pdf>
Gupta, S. (2018). Organizational Barriers to Digital Transformation. <https://www.diva-portal.org/smash/get/diva2:1218220/FULLTEXT01.pdf>
Hannure, N. K., & Kulkarni, S. S. (2014). Comparative study of Traditional Material Management and Material Management with ICT Application. <https://www.ctts.in/assets/upload/6456ctts-340109%20vol-3%20iss-4.pdf>
Harrington, H. J., Voehl, F., & Wiggin, H. (2012). Applying TQM to the construction industry. The TQM Journal, 24(4), 352-362. <https://www.emeraldinsight.com/doi/abs/10.1108/17542731211247373?journalCode=tqm>
Harris, F., & McCaffer, R. (2013). Modern construction management. John Wiley & Sons. <https://books.google.co.in/books?hl=en&lr=&id=LY58xuo0RGwC&oi=fnd&pg=PT11&dq=Modern+construction+management&ots=wrV-deTSC-&sig=PKgKutx9s2KWz1tCx0pg1b18SJg#v=onepage&q=Modern%20construction%20management&f=false>
Harrison, R. L., & Reilly, T. M. (2011). Mixed methods designs in marketing research. Qualitative Market Research: An International Journal, 14(1), 7-26. <https://www.researchgate.net/profile/Robert_Harrison19/publication/243463725_Mixed_methods_designs_in_marketing_research/links/54cecf220cf298d656622fce/Mixed-methods-designs-in-marketing-research.pdf>
Hong, Y. J., Xue, J., & Thottethodi, M. (2011, June). Dynamic server provisioning to minimize cost in an IaaS cloud. In Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems (pp. 147-148). ACM. <https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1413&context=ecetr>
Hongyan, K., Dayi, Q., Yun, L., Jianlin, S., & Shuai, L. (2011). Construction of digitization laboratory in national-level experimental teaching demonstration center [J]. Experimental Technology and Management, 11(28), 99-101. <https://en.cnki.com.cn/Article_en/CJFDTOTAL-SYJL201111032.htm>
Ibem, E. O., & Laryea, S. (2014). Survey of digital technologies in procurement of construction projects. Automation in Construction, 46, 11-21. <https://www.sciencedirect.com/science/article/pii/S092658051400154X>
Karyotakis, K. M., & Moustakis, V. S. (2014). Reinvention of the public sector: Total quality management and change management. Singidunum Journal of Applied Sciences, 11(2), 30-44. <https://www.degruyter.com/downloadpdf/j/sjas.2014.11.issue-2/sjas11-6751/sjas11-6751.pdf>
Kelly, J., Male, S., & Graham, D. (2014). Value management of construction projects. John Wiley & Sons. <https://lankaneth-pawan.com/wp-content/uploads/2016/07/QS-20-Value-Management-of-Construction-Projects-0632051434.pdf>
Kerzner, H. (2004). Advanced project management: Best practices on implementation. John Wiley & Sons. <https://books.google.co.in/books?hl=en&lr=&id=z4SlKsi4E4QC&oi=fnd&pg=PR15&dq=Advanced+project+management&ots=RFPdpzyIv5&sig=FDqoMSzgGAmCTASLxApPgFhHNnQ#v=onepage&q=Advanced%20project%20management&f=false>
Kesari, M., Chang, S., & Seddon, P. B. (2003). A content-analytic study of the advantages and disadvantages of process modelling. ACIS 2003 Proceedings, 2. <https://s3.amazonaws.com/academia.edu.documents/39282684/viewcontent.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1544775947&Signature=vKNFC7217DFIL%2BK2weXuX%2BhNB9A%3D&response-content-disposition=inline%3B%20filename%3DA_content-analytic_study_of_the_advantag.pdf>
Khurana, H., Hadley, M., Lu, N., & Frincke, D. A. (2010). Smart-grid security issues. IEEE Security & Privacy, 8(1). <https://monenco-sg.ir/wp-content/uploads/2018/01/2010_SecurityAndPrivacy_thecyberscecurityconcernsforthesmartgrid.pdf>
Kim, D. Y., Kumar, V., & Kumar, U. (2012). Relationship between quality management practices and innovation. Journal of operations management, 30(4), 295-315. <https://eclass.teicrete.gr/modules/document/file.php/DLH205/Total%20Quality%20Management%20and%20Innovation/InnovationRDandTechnologyatfirm-levelcompetitiveness.pdf>
Laguna, M. A., & Crespo, Y. (2013). A systematic mapping study on software product line evolution: From legacy system reengineering to product line refactoring. Science of Computer Programming, 78(8), 1010-1034. <https://ac.els-cdn.com/S0167642312000895/1-s2.0-S0167642312000895-main.pdf?_tid=17e24523-b011-436c-96fc-7e7ffa4a3d8d&acdnat=1544772970_5e6cd89596a8d8abf83563f511c6498c>
Lee, N., Salama, T., & Wang, G. (2014). Building information modeling for quality management in infrastructure construction projects. In Computing in Civil and Building Engineering (2014) (pp. 65-72). <https://itc.scix.net/data/works/att/w78-2014-paper-009.pdf >
Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. The Journal of Strategic Information Systems, 24(3), 149-157. <https://tarjomefa.com/wp-content/uploads/2016/09/5252-English.pdf >
Maciel, C. (2011, October). Issues of the social web interaction project faced with afterlife digital legacy. In Proceedings of the 10th Brazilian Symposium on Human Factors in Computing Systems and the 5th Latin American Conference on Human-Computer Interaction (pp. 3-12). Brazilian Computer Society. <https://www.researchgate.net/profile/Cristiano_Maciel/publication/262401962_Issues_of_the_social_web_interaction_project_faced_with_afterlife_digital_legacy/links/54c421490cf256ed5a937a1a.pdf>
Mallawaarachchi, H., & Senaratne, S. (2015, December). Importance of quality for construction project success. In 6th Internafional conference on structural engineering and construcfion management 2015 (pp. 11-13). <https://www.civil.mrt.ac.lk/conference/ICSECM_2015/volume_4/Extract/SECM-15-129.pdf >
Margaryan, A., Littlejohn, A., & Vojt, G. (2011). Are digital natives a myth or reality? University students’ use of digital technologies. Computers & education, 56(2), 429-440. <https://oro.open.ac.uk/53083/1/Digital%20Natives%202008.pdf>
McWilliams, A., & Siegel, D. S. (2011). Creating and capturing value: Strategic corporate social responsibility, resource-based theory, and sustainable competitive advantage. Journal of Management, 37(5), 1480-1495. <https://www.pmir.it/fileCaricati/1/Mcwilliams%20e%20Siegel%20(2010).pdf>
Meng, X. (2012). The effect of relationship management on project performance in construction. International journal of project management, 30(2), 188-198. <https://dbmanagement.info/Books/MIX/The_effect_of_relationship_management_on_project_performance_in_construction.pdf>
Neuman, W. L. (2013). Social research methods: Qualitative and quantitative approaches. Pearson education. <https://lib.hpu.edu.vn/handle/123456789/28691>
Olawale, Y. A., & Sun, M. (2010). Cost and time control of construction projects: inhibiting factors and mitigating measures in practice. Construction management and economics, 28(5), 509-526. <https://research.aston.ac.uk/portal/files/2217355/Cost_and_time_control_inhibiting_factors_and_mitigating_measures.pdf>
Patare, G. A., Minde, P., & Pawar, A. (2016). Material management by using SAP in real estate construction sector. <https://irjet.net/archives/V3/i12/IRJET-V3I1248.pdf>
Petty, N. J., Thomson, O. P., & Stew, G. (2012). Ready for a paradigm shift? Part 1: Introducing the philosophy of qualitative research. Manual therapy, 17(4), 267-274. <https://eprints.brighton.ac.uk/10545/1/Petty%20et%20al%20paper%201%202012.pdf>
Pfaff, G. E. (Ed.). (2012). User Interface Management Systems: Proceedings of the Workshop on User Interface Management Systems held in Seeheim, FRG, November 1–3, 1983. Springer Science & Business Media. <https://books.google.co.in/books?hl=en&lr=&id=RN-pCAAAQBAJ&oi=fnd&pg=PA3&dq=Management+systems+for+construction&ots=9gDWlf9K0j&sig=nuikD_tmFRBxBLYe3jfreLZM5UY#v=onepage&q=Management%20systems%20for%20construction&f=false>
Ponterotto, J. G. (2010). Qualitative research in multicultural psychology: Philosophical underpinnings, popular approaches, and ethical considerations. Cultural Diversity and Ethnic Minority Psychology, 16(4), 581. <https://psycnet.apa.org/record/2010-22619-018>
Reddy, A. V. J., & Rao, B. M. (2017). Opportunities and challenges for Indian Pharmaceutical companies in overseas markets and need of digital tools for sustainable success. INDIAN JOURNAL OF PHARMACEUTICAL EDUCATION AND RESEARCH, 51(2), 226-238. <https://www.ijper.org/sites/default/files/10.5530ijper.51.2.28_0.pdf>
Ridyard, C. H., & Hughes, D. A. (2010). Methods for the collection of resource use data within clinical trials: a systematic review of studies funded by the UK Health Technology Assessment program. Value in Health, 13(8), 867-872. <https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1524-4733.2010.00788.x>
Riley, J. L., McKevitt, B. C., Shriver, M. D., & Allen, K. D. (2011). Increasing on-task behavior using teacher attention delivered on a fixed-time schedule. Journal of Behavioral Education, 20(3), 149. <https://link.springer.com/article/10.1007/s10864-011-9132-y>
Rumane, A. R. (2016). Quality management in construction projects. CRC Press. <https://eprints.qut.edu.au/48015/1/48015.pdf>
Saunders, M. N. (2011). Research methods for business students, 5/e. Pearson Education India. <https://books.google.co.in/books?hl=en&lr=&id=dDGPPd_4y5sC&oi=fnd&pg=PR17&dq=Research+methods+for+business+students,&ots=YYTD2HNy8q&sig=5owbGH66OpRqXZ3KCcF6oIFCk9s#v=onepage&q=Research%20methods%20for%20business%20students%2C&f=false>
Saunders, M. N., & Lewis, P. (2012). Doing research in business & management: An essential guide to planning your project. Pearson. <https://epubs.surrey.ac.uk/817620/>
Sommer, L. (2015). Industrial revolution-industry 4.0: Are German manufacturing SMEs the first victims of this revolution?. Journal of Industrial Engineering and Management, 8(5), 1512-1532. <https://jiem.org/index.php/jiem/article/viewFile/1470/730>.
Takabi, H., Joshi, J. B., & Ahn, G. J. (2010). Security and privacy challenges in cloud computing environments. IEEE Security & Privacy, (6), 24-31. <https://www.researchgate.net/profile/James_Joshi2/publication/224202015_Security_and_Privacy_Challenges_in_Cloud_Computing_Environments/links/00b7d528c18a12d3a4000000/Security-and-Privacy-Challenges-in-Cloud-Computing-Environments.pdf>
Tianshou, Z., Yi, L., Yuying, Z., Zhibo, C., Yinchun, L., Jiamao, Y., & Wenting, F. (2011). Construction and management mode of digital gas gathering stations in the Sulige Gas Field. Natural Gas Industry, 2, 001. <https://en.cnki.com.cn/Article_en/CJFDTOTAL-TRQG201102001.htm>
Tsai, C. C., & Chai, C. S. (2012). The “third”–order barrier for technology-integration instruction: Implications for teacher education. Australasian Journal of Educational Technology. <https://repository.nie.edu.sg/bitstream/10497/14931/1/AJET-28-6-1057.pdf>
Voogt, J., Erstad, O., Dede, C., & Mishra, P. (2013). Challenges to learning and schooling in the digital networked world of the 21st century. Journal of computer assisted learning, 29(5), 403-413. <https://www.punyamishra.com/wp-content/uploads/2013/09/jcal2013-Voogt-Orstad-Dede-Mishra.pdf>
Wildemuth, B. M. (Ed.). (2016). Applications of social research methods to questions in information and library science. ABC-CLIO. <https://books.google.co.in/books?hl=en&lr=&id=uv98DQAAQBAJ&oi=fnd&pg=PP1&dq=Applications+of+social+research+methods+to+questions+in+information+and+library+science.+ABC-CLIO&ots=VUNMHbP-hk&sig=lkPrBn-RTcYS5Z824jIQzhomfuw#v=onepage&q=Applications%20of%20social%20research%20methods%20to%20questions%20in%20information%20and%20library%20science.%20ABC-CLIO&f=false>
William G. B., (2014). Higher Education in the Digital Age. Croatian Economic Survey, 16(1), 171-185. <https://pdfs.semanticscholar.org/be9f/316673bc688d3928bf4c68280030351f946d.pdf>
Yang, C. (2018, June). A Study on the Importance of Water Conservancy Engineering Design. In IOP Conference Series: Materials Science and Engineering (Vol. 371, No. 1, p. 012044). IOP Publishing. < https://iopscience.iop.org/article/10.1088/1757-899X/371/1/012044/meta>
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