Modelling client and construction firm barriers hindering social client relationship management system implementation in the built environment

References

• Adinyira, E., Manu, P., Agyekum, K., Mahamadu, A.-M., & Olomolaiye, P. O. (2020). Violent behaviour on construction sites: Structural equation modelling of its impact on safe behaviour using partial least squares. Engineering, Construction and Architectural Management, 27(10), 3363–3393. doi:10.1108/ECAM-09-2019-0489
   Web of Science ®Google Scholar
• Afolabi, A. O., Nnaji, C., & Okoro, C. (2022). Immersive technology implementation in construction industry: Modeling paths of risk. Buildings, 12(3), 363. doi:10.3390/buildings12030363
   Web of Science ®Google Scholar
• Ahani, A., Rahim, N. Z. A., & Nilashi, M. (2017). Forecasting social CRM adoption in S.M.E.s: A combined SEM-neural network method. Computers in Human Behavior, 75, 560–578. doi:10.1016/j.chb.2017.05.032
   Web of Science ®Google Scholar
• Aibinu, A. A., & Al-Lawati, A. M. (2010). Using PLS-SEM technique to model construction organizations’ willingness to participate in e-bidding. Automation in Construction, 19, 714–724. doi:10.1016/j.autcon.2010.02.016
   Web of Science ®Google Scholar
• Alashwal, A. M., & Abdul-Rahman, H. (2014). Using PLS-PM to model the process of inter-project learning in construction projects. Automation in Construction, 44, 176–182. doi:10.1016/j.autcon.2013.11.010
   Web of Science ®Google Scholar
• Aliaga, M., & Gunderson, B. (2002). Interactive statistics. Thousand Oaks: Sage Publications.
   Google Scholar
• Al-Omoush, K. S., Simón-Moya, V., Al-Ma’aitah, A., Sendra-García, M. (2021). The determinants of social CRM entrepreneurship: an institutional perspective. Journal of Business Research, 132, 21–31. doi:10.1016/j.jbusres.2021.04.017
   Web of Science ®Google Scholar
• Andersson, L., & Stekovic, K. (2011). Factors associated with success and failure in CRM system Use: A case study of the sales department in a B2B company. A bachelor's thesis, School of Business and Economics, Linnaeus University, Sweden. https://www.diva-portal.org/smash/get/diva2:428076/FULLTEXT01.pdf
   Google Scholar
• Antheunis, M. L., Tates, K., & Nieboer, T. E. (2013). Patients’ and health professionals’ use of social media in health care: Motives, barriers and expectations. Patient Education and Counseling, 92, 426–431. doi:10.1016/j.pec.2013.06.020
   PubMed Web of Science ®Google Scholar
• Asgari, A. (2016). Introduction to Structural Equation Modeling Partial Least Squares (SEM-PLS). (Accessed: September 20, 2020). https://www.slideshare.net/pallobby/introduction-to-structural-equation-modeling-partial-least-sqaures-sempls-61043221
   Google Scholar
• Askool, S. S., & Nakata, K. (2010). Scoping study to identify factors influencing the acceptance of social CRM. Paper presented at IEEE International Conference on Management of Innovation and Technology, 1055–1060. doi:10.1109/ICMIT.2010.5492888.
   Google Scholar
• Awasthi, P., Dubey, N., & Sangle, P. S. (2014). Contemporary challenges in CRM technology adoption: A multichannel view. International Journal of Electronic Customer Relationship Management, 8(1-3), 51–71. doi:10.1504/IJECRM.2014.066882
   Google Scholar
• Babatunde, S. (2015). Developing public-private partnership strategy for infrastructure delivery in Nigeria. [Doctoral thesis, Northumbria University].
   Google Scholar
• Baghdadi, Y. (2016). A framework for social commerce design. Information Systems, 60, 95–113. doi:10.1016/j.is.2016.03.007
   Web of Science ®Google Scholar
• Bai, Y., Yao, Z., & Dou, Y. F. (2015). Effect of social commerce factors on user purchase behavior: An empirical investigation from renren.com. International Journal of Information Management, 35, 538–550. doi:10.1016/j.ijinfomgt.2015.04.011
   Web of Science ®Google Scholar
• Baptista, J., Wilson, A. D., Galliers, R. D., & Bynghall, S. (2017). Social media and the emergence of reflexiveness as a new capability for open strategy. Long Range Planning, 50(3), 322–336. doi:10.1016/j.lrp.2016.07.005
   Web of Science ®Google Scholar
• Bompolis, C. G., & Boutsouki, C. (2014). Customer relationship management in the era of social web and social customer: An investigation of customer engagement in the Greek retail banking sector. Procedia - Social and Behavioral Sciences, 148, 67–78. doi:10.1016/j.sbspro.2014.07.018
   Google Scholar
• Borders, A. L., Johnston, W. J., & Rigdon, E. E. (2001). Beyond the Dyad: Electronic commerce and network perspectives in industrial marketing management. Industrial Marketing Management, 30(2), 199–205. doi:10.1016/S0019-8501(00)00143-7
   Web of Science ®Google Scholar
• Bull, C. (2003). Strategic issues in customer relationship management (CRM) implementation. Business Process Management Journal, 9(5), 592–602. doi:10.1108/14637150310496703
   Google Scholar
• Chang, H. H., Huang, C. Y., Fu, C. S., & Hsu, M. T. (2017). The effects of innovative, consumer and social characteristics on willingness to try nano-foods: Product uncertainty as a moderator. Information Technology & People, 30(3), 653–690. doi:10.1108/ITP-10-2015-0266
   Web of Science ®Google Scholar
• Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14, 464–504. doi:10.1080/10705510701301834
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Hillsdale, NJ: Lawrence Erlbaum Associates. Accessed November 5, 2020. http://www.utstat.toronto.edu/~brunner/oldclass/378f16/readings/CohenPower.pdf
   Google Scholar
• Deloite. (2019). Digital CRM 2.0: Building customer relationship in a digital landscape. Accessed November 5th 2020. https://www2.deloitte.com/content/dam/Deloitte/de/Documents/strategy/Deloitte_Digital_Digital_CRM_Study_2.0_2019.pdf
   Google Scholar
• Diffley, S., & Mccole, P. (2015). Extending customer relationship management into a social context. The Service Industries Journal, Vol. 35(No. 11-12), 591–610. doi:10.1080/02642069.2015.1062882
   Web of Science ®Google Scholar
• Fellow, R., & Liu, A. (2008). Research methods for construction. Blackwell Science Limited.
   Google Scholar
• Finnegan, D. J., & Currie, W. L. (2010). A multi-layered approach to CRM implementation: An integration perspective. European Management Journal, 28(2), 153–167. doi:10.1016/j.emj.2009.04.010
   Web of Science ®Google Scholar
• Galimi, J. (2004). CRM leadership requires big picture approach. Managed Health Care Executive, 8, 131–142.
   Google Scholar
• Gamil, Y., & Abd Rahman, I. (2021). Studying the relationship between causes and effects of poor communication in construction projects using PLS-SEM approach. Journal of Facilities Management, doi:10.1108/JFM-04-2021-0039
   Web of Science ®Google Scholar
• George, D., & Mallery, P. (2003). Spss for windows step by step: A simple guide and reference 11.0 update. Boston: Allyn and Bacon.
   Google Scholar
• Giannoni, C., Alarcon, L. F., & Vera, S. (2018). Diagnosis of sustainable business strategies implemented by Chilean construction companies. Sustainability, 10(82), 1–19. doi:10.3390/su10020001
   Google Scholar
• Guerrero, S., Andersen, H., & Afifi, A. (2007). Close encounters: Communication in relationships (2nd ed.). Los Angeles, CA: Sage Publications, Inc.
   Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R. The Hague, Springer Publishing.
   Google Scholar
• Hair, J. F., & Lukas, B. (2014). Marketing research. North Ryde, NSW: McGraw-Hill Education.
   Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31, 2–24. doi:10.1108/EBR-11-2018-0203.
   Web of Science ®Google Scholar
• Hair, J. F. Jr, Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26, 106–121. doi:10.1108/EBR-10-2013-0128
   Google Scholar
• Hajli, M. N. (2014). The role of social support on relationship quality and social commerce. Technological Forecasting and Social Change, 87, 17–27. doi:10.1016/j.techfore.2014.05.012
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319. doi:10.1108/S1474-7979(2009)0000020014
   Web of Science ®Google Scholar
• Hock, C., Ringle, C. M., & Sarstedt, M. (2010). Management of multi-purpose stadiums: Importance and performance measurement of service interfaces. International Journal of Services Technology and Management, 14(2), 188–207. doi:10.1504/IJSTM.2010.034327
   Google Scholar
• Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424–453. doi:10.1037/1082-989X.3.4.424
   Web of Science ®Google Scholar
• Hulland, J. (1999). Use of partial least squares (P.L.S.) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204. doi:10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
   Web of Science ®Google Scholar
• Hussain, F., Fangwei, Z., Siddiqi, A. F., Ali, Z., & Shaibbir, M. S. (2018). Structural equation model for evaluating factors affecting quality of social infrastructure projects. Sustainability, 10, 1–25. doi:10.3390/su10020001
   Web of Science ®Google Scholar
• Jami Pour, M., & Hosseinzadeh, M. (2021). An integrated framework of change management for social CRM implementation. Information Systems and e-Business Management, 19(1), 43–75. doi:10.1007/s10257-020-00479-z
   Web of Science ®Google Scholar
• Kansbod, J. (2022). The Implementation of Social CRM: Key Features and Significant Challenges associated with the Practical Implementation of Social Customer Relationship Management. (Accessed 13th May. 2023). URL https://www.diva-portal.org/smash/record.jsf?pid = diva2:1672484
   Google Scholar
• Kaplan, A. M., & Haenlein, N. (2010). Users of the world, unite! The challenges and opportunities of social-media. Business Horizons, 53(1), 59–68. doi:10.1016/j.bushor.2009.09.003
   Web of Science ®Google Scholar
• Kim, D. (2013). Under what conditions will social commerce business models survive? Electronic Commerce Research and Applications, 12(No. 2), 69–77. doi:10.1016/j.elerap.2012.12.002
   Web of Science ®Google Scholar
• Kubina, M., & Lendel, V. (2015). Successful application of social CRM in the company. Procedia Economics and Finance, 23, 1190–1194. doi:10.1016/S2212-5671(15)00487-6
   Google Scholar
• Kupper, T., Jung, R., Lehmkuhl, T., & Wieneke, A. (2014). Features for social CRM technology- An organisation perspective. A paper presented at Twentieth Americas Conference on Information System, Savanah.
   Google Scholar
• Lamrhari, S., Ghazi, H., Oubrich, M., & Faker, A. (2022). A social CRM analytic framework for improving customer retention, acquisition, and conversion. Technological Forecasting and Social Change, 174, 121275. doi:10.1016/j.techfore.2021.121275
   Web of Science ®Google Scholar
• Leary. (2014). CRM users’ biggest challenges. Accessed: 20th October 2020. https://www.marketingcharts.com/digital-45132/attachment/softwareadvice-crm-user-challenges-aug2014
   Google Scholar
• Li, Y., Xiao, Z., & Liu, F. S. (2003). Classification of clients in Client Relationship Management (CRM) base on rough set theory. In Paper Presented at the International Conference on Machine Learning and Cybernetics (Vol. 1, pp. 242–246). (IEEE Cat. No. 03EX693).
   Google Scholar
• Liang, T. P., & Turban, E. (2011). Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2), 5–14. doi:10.2753/JEC1086-4415160201
   Web of Science ®Google Scholar
• Lin, C., & Jeng, C. (2017). Exploring interface problems in Taiwan’s construction projects using structural equation modeling. Sustainability, 9, 822.
   Web of Science ®Google Scholar
• Liu, T., Mbachu, J., Mathran, A., Jones, B., & McDonald, B. (2017). The perceived benefits of apps by construction professionals in New Zealand. Buildings, 111(7), 1–11. doi:10.1016/j.buildenv.2017.05.028
   Google Scholar
• Ma, S., Li, Z., Li, L., Yuan, M., & Yin, X. (2023). Exploring the effect of stakeholders relationship quality on technological innovation in off-site construction: The mediating role of the knowledge sharing. Journal of Civil Engineering and Management, 29(1), 77–92. doi:10.3846/jcem.2022.17870
   Web of Science ®Google Scholar
• Malthouse, C. D., Haenlein, M., Skiera, B., Wege, E., & Zhang, M. (2013). Managing customer relationships in the social media era: Introducing the social CRM house. Journal of Interactive Marketing, 27(4), 270–280. doi:10.1016/j.intmar.2013.09.008
   Web of Science ®Google Scholar
• Marvin, R., & Rist, O. (2022). Social CRM: Where social media meets customer engagement. Accessed 20th March 2022. https://www.pcmag.com/news/social-crm-where-social-media-meets-customer-engagement.web-base
   Google Scholar
• Medjani, F., & Barnes, S. J. (2021). Understanding the implementation of social customer relationship management in the north African context: An integrated theory perspective. Journal of Global Information Technology Management, 24(4), 299–318. doi:10.1080/1097198X.2021.1993726
   Web of Science ®Google Scholar
• Memon, A. H., & Rahman, I. A. (2014). SEM-PLS analysis of inhibiting factors of cost performance for large construction projects in Malaysia: Perspective of clients and consultants. The Scientific World Journal, 1, 1–9.
   Google Scholar
• Nachmias, C. F., & Nachmias, D. (2008). Research methods in the social sciences (7th ed). New York: Worth Publisher.
   Google Scholar
• Ojelabi, R. A., Oyeyipo, O., Afolabi, A. O., & Amusan, L. M. (2018). Presence of social client relationship management within the Nigerian construction industry. Buildings, 60(11), 1–15. doi:10.3390/buildings8040060
   Google Scholar
• Olupot, C., Kituyi, M. G., & Noguera, J. (2014). Factor affecting the adoption of electronic customer relationship management information system in S.M.E.s. Journal of Studies in Social Sciences, 7, 25–45. https://infinitypress.info/index.php/jsss/article/view/611
   Google Scholar
• Olushola, T., & Abiola, J. O. (2017). The efficacy of technology acceptance model: A review of applicable theoretical models in information technology researches. Quest Journal of Research in Business and Management, 11, 70–83. www.questjournals.org
   Google Scholar
• Orenga-Roglá, S., & Chalmeta, R. (2016). Social customer relationship management: taking advantage of Web 2.0 and Big Data technologies. SpringerPlus, 5, 1462. doi:10.1186/s40064-016-3128-y.
   PubMedGoogle Scholar
• PIDAS. (2017). Customer care as critical factor for increasing the customer value and ensuring operational success in the social customer economy. PIDAS. [Online]. Accessed 14th November 2021. https://www.pidas.com/sites/default/files/White_Paper_Customer_Care_Concept_2_0_final_Engl_2.0.pdf
   Google Scholar
• Pour, M. J. (2017). Migrating to the social CRM: Exploring the motives and barriers of social CRM systems implementation. International Journal of Management and Applied Sciences, 11(3), 91–95. http://www.iraj.in/journal/journal_file/journal_pdf/14-424-151738342091-95.pdf
   Google Scholar
• Preece, C., Chong, H. Y., Golizadeh, H., & Rogers, J. A. (2014). Review of customer relationship (CRM) implications: Benefits and challenges in construction organizations. International Journal of Civil Engineering, 13, 362–371.
   Web of Science ®Google Scholar
• Rahman, I. A., Memon, A. H., & Karim, A. T. A. (2013). Examining factors affecting budget overrun of construction projects undertaken through management procurement method using PLS-SEM approach. Procedia - Social and Behavioral Sciences, 107, 120–128. doi:10.1016/j.sbspro.2013.12.407
   Google Scholar
• Ritu, A., Megha, J., Anil, S., & Mohammed, A. (2016). Adoption of BIM by architectural firms in India: Technology–organization–environment perspective. Architectural Engineering and Design Management, 12(4), 311–330. doi:10.1080/17452007.2016.1186589
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovation (5th ed.). New York: Free Press.
   Google Scholar
• Salah, O., Yusof, Z. M., & Mohamed, H. (2018). Factor affecting customer relationship management system adoption in small and medium enterprise in palestine. International Journal of Information System and Engineering, 6, 52–75. doi:10.24924/ijise/2018.11/v6.iss2/52.75
   Google Scholar
• Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5, 105–115. doi:10.1016/j.jfbs.2014.01.002
   Web of Science ®Google Scholar
• Sauer, C. (2013). Powerful analytical tools help CUS extract actionable trends from mountains of data. Credit Union Magazine.
   Google Scholar
• Šebjan, U., Bobek, S., & Tominc, P. (2014). Organizational factors influencing effective use of CRM solutions. Procedia Technology, 16, 459–470. doi:10.1016/j.protcy.2014.10.113
   Google Scholar
• Swarts, K. M., Lehman, K., & Lewis, G. K. (2016). The use of social customer relationship management by building contractors: Evidence from Tasmania. Construction Management and Economics, Vol. 34(No. 4-5), 302–316. doi:10.1080/01446193.2015.1133919
   Google Scholar
• Tanko, B. L., Abdullah, F. B., & Ramly, Z. M. (2017). Stakeholders assessment of constraints to project delivery in the Nigerian construction industry. International Journal of Built Environment and Sustainability, 4(1), 56-62
   Google Scholar
• Taylor, T., & Geldenhuys, S. (2019). Using partial least squares to measure tourism students’ satisfaction with work-integrated learning. London, UK: IntechOpen Publishing.
   Google Scholar
• Thabane, I., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., Robson, R., Thabane, M., Giangregorio, L., & Goldsmith, C. H. (2010). A tutorial on pilot studies: The what, why and how. BMC Medical Research Methodology, 10, 1. doi:10.1186/1471-2288-10-1
   PubMed Web of Science ®Google Scholar
• Treem, J. W., & Leonardi, P. M. (2012). Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. SSRN Electronic Journal, 36, 143–189.
   Google Scholar
• Trochim, W. M. (2000). The research method knowledge base (2nd ed.). Cincinnati. Accessed 10th May 2023. http://www.socialresearchmethods.net.
   Google Scholar
• Vermaut, G., & Trybou, J. (2017). Performance expectancy, effort expectancy and social influence as factors predicting the acceptance or (non-) fluoroscopy-guided positioning for radiographs, and the relationship with leadership. Thesis in Master of Science in Health Care Management and Policy. https://lib.ugent.be/catalog/rug01:002350325
   Google Scholar
• Williams, C. (2011). Research methods. Research Methods. Journal of Business and Economics Research, 5. doi:10.19030/jber.v5i3.2532.
   Google Scholar
• Wu, K. J., Liao, C. J., Tseng, M. L., & Chou, P. J. (2015). Understanding innovation for sustainable business management capabilities and competencies under uncertainty. Sustainability, 7, 13726–13760.
   Web of Science ®Google Scholar
• Xiong, B., Skitmore, M., & Xia, B. (2015). A critical review of structural equation modelling applications in construction research. Automation in Construction, 49, 59–70. doi:10.1016/j.autcon.2014.09.006
   Web of Science ®Google Scholar
• Yasiukovich, S., & Haddara, M. (2021). Social CRM in S.M.E.s: A systematic literature review. Procedia Computer Science, 181, 535–544. doi:10.1016/j.procs.2021.01.200
   Google Scholar
• Yuan, L. (2021). Research on stakeholder relationship in construction project. Academic Journal of Engineering and Technology Science, 4(1), 21–25. doi:10.25236/AJETS.2021.040104
   Google Scholar