An Examination of the Factors Affecting the Adoption of Cloud Enterprise Resource Planning Systems in Egyptian Companies
Enterprise resource planning (ERP) is an integrated system that helps companies in managing their resources. There are two types of ERP systems, the traditional ERP systems, and the cloud ERP systems. Cloud ERP systems were introduced after the development of cloud computing technology. This research aims to identify the factors that affect the adoption of cloud ERP in Egyptian companies. Moreover, the aim of our study is to provide guidance to Egyptian companies in the cloud ERP adoption decision and to participate in increasing the number of the cloud ERP studies that are conducted in the Middle East and in developing countries. There are many factors influencing the adoption of cloud ERP in Egyptian organizations which are discussed and explained in the research. Those factors are examined through combining the Diffusion of Innovation theory (DOI) and technology-organization-environment framework (TOE). Data were collected through a survey that was developed using constructs from the existing studies of cloud computing and cloud ERP technologies and was then modified to fit our research. The analysis of the data was based on Structural Equation Modeling (SEM) using Smart PLS software that was used for the empirical analysis of the research model.
[1] M. Ali, E. S. Nasr, and M. H. Gheith, “A requirements elicitation approach for cloud based software product line ERPs,” ACM Int. Conf. Proceeding Ser., vol. 28-29-May-, pp. 34–39, 2016, doi: 10.1145/2944165.2944171.
[2] M. A. Abd Elmonem, E. S. Nasr, and M. H. Geith, “Benefits and challenges of cloud ERP systems – A systematic literature review,” Futur. Comput. Informatics J., vol. 1, no. 1–2, pp. 1–9, 2016, doi: 10.1016/j.fcij.2017.03.003.
[3] D. Maditinos, D. Chatzoudes, and C. Tsairidis, “Factors affecting ERP system implementation effectiveness,” J. Enterp. Inf. Manag., vol. 25, no. 1, pp. 60–78, 2011, doi: 10.1108/17410391211192161.
[4] M. A. AL-Shboul, “Towards better understanding of determinants logistical factors in SMEs for cloud ERP adoption in developing economies,” Bus. Process Manag. J., vol. 25, no. 5, pp. 887–907, 2019, doi: 10.1108/BPMJ-01-2018-0004.
[5] U. M. Z. Usman, M. N. Ahmad, and N. H. Zakaria, “The determinants of adoption of cloud-based ERP of Nigerian’s SMEs manufacturing sector using TOE framework and DOI theory,” Int. J. Enterp. Inf. Syst., vol. 15, no. 3, pp. 27–43, 2019, doi: 10.4018/IJEIS.2019070102.
[6] L. Jain and S. Bhardwaj, “Enterprise Cloud Computing: Key Considerations for Adoption,” Int. J. Eng. Inf. Technol., vol. 2, Jan. 2010.
[7] M. Zamzeer, Y. Alshamaileh, H. I. Alsawalqah, M. Al-Hassan, E. J. A. Fannas, and S. S. Almubideen, “Determinants of cloud ERP adoption in Jordan: An exploratory study,” Int. J. Bus. Inf. Syst., vol. 34, no. 2, pp. 204–228, 2020, doi: 10.1504/IJBIS.2020.108342.
[8] S. Gupta, S. C. Misra, N. Kock, and D. Roubaud, “Organizational, technological and extrinsic factors in the implementation of cloud ERP in SMEs,” J. Organ. Chang. Manag., vol. 31, no. 1, pp. 83–102, 2018, doi: 10.1108/JOCM-06-2017-0230.
[9] S. L. Saini, D. Kumar Saini, J. H. Yousif, and S. V. Khandage, “Cloud computing and enterprise resource planning systems,” Proc. World Congr. Eng. 2011, WCE 2011, vol. 1, pp. 681–684, 2011.
[10] N. Sénica, C. Teixeira, and J. S. Pinto, “Cloud computing: A platform of services for services,” Commun. Comput. Inf. Sci., vol. 220 CCIS, no. PART 2, pp. 91–100, 2011, doi: 10.1007/978-3-642-24355-4_10.
[11] R. Sharma and B. Keswani, “Study of Cloud Based ERP Services for Small and Medium Enterprises (Data is Processed by Text Mining Technique),” Sales. J. Inf. Syst., vol. 1, no. 13, pp. 2–10, 2014.
[12] G. J. Mohammed and M. A. Burhanuddin, “The Influence of Factors to Adopt Cloud-based ERP for Iraqi SMEs,” J. Adv. Res. Dyn. Control Syst., vol. 10, 2018.
[13] A. M. AlBar and M. R. Hoque, “Factors affecting cloud ERP adoption in Saudi Arabia: An empirical study,” Inf. Dev., vol. 35, no. 1, pp. 150–164, 2019, doi: 10.1177/0266666917735677.
[14] U. Iqbal, E. Uppström, and G. Juell-Skielse, “Cloud ERP implementation challenges: A study based on ERP life cycle model,” in Advances in Enterprise Information Systems II :, 2012, no. 1, pp. 389–405, doi: 10.1201/b12295-43.
[15] D. A. Almajali, R. Masa’deh, and A. Tarhini, “Antecedents of ERP systems implementation success: a study on Jordanian healthcare sector,” J. Enterp. Inf. Manag., vol. 29, no. 4, pp. 549–565, 2016, doi: 10.1108/JEIM-03-2015-0024.
[16] S. V. Grabski, S. A. Leech, and P. J. Schmidt, “A review of ERP research: A future agenda for accounting information systems,” J. Inf. Syst., vol. 25, no. 1, pp. 37–78, 2011, doi: 10.2308/jis.2011.25.1.37.
[17] F. Mahmood, A. Z. Khan, and R. H. Bokhari, “ERP issues and challenges: a research synthesis,” Kybernetes, vol. 49, no. 3, pp. 629–659, 2020, doi: 10.1108/K-12-2018-0699.
[18] N. S. A. Suhaimi, A. Nawawi, and A. S. A. P. Salin, “Impact of enterprise resource planning on management control system and accountants’ role,” Int. J. Econ. Manag., vol. 10, no. 1, pp. 93–108, 2016.
[19] D. M. Bahssas, A. M. AlBar, and M. R. Hoque, “Enterprise Resource Planning (ERP) Systems: Design, Trends and Deployment,” Int. Technol. Manag. Rev., vol. 5, no. 2, p. 72, 2015, doi: 10.2991/itmr.2015.5.2.2.
[20] C. M. Navaneethakrishnan, “A Comparative Study of Cloud based ERP systems with Traditional ERP and Analysis of Cloud ERP implementation,” Int. J. Eng. Comput. Sci., vol. 2, no. 9, pp. 2866–2869, 2013.
[21] K. Haji Salum and M. Z. Abd Rozan, “Exploring the Challenge Impacted SMEs to Adopt Cloud ERP,” Indian J. Sci. Technol., vol. 9, no. 45, 2016, doi: 10.17485/ijst/2016/v9i45/100452.
[22] H. Klaus, M. Rosemann, and G. G. Gable, “What is ERP ?,” 2000.
[23] M. Al-Mashari, A. Al-Mudimigh, and M. Zairi, “Enterprise resource planning: A taxonomy of critical factors,” Eur. J. Oper. Res., vol. 146, no. 2, pp. 352–364, 2003, doi: https://doi.org/10.1016/S0377-2217(02)00554-4.
[24] C. R. Holland and B. Light, “A critical success factors model for ERP implementation,” IEEE Softw., vol. 16, no. 3, pp. 30–36, 1999, doi: 10.1109/52.765784.
[25] R. Pareek, “Analytical Study of Cloud ERP and ERP,” Int. J. Eng. Comput. Sci., vol. 3, no. 10, pp. 8710–8717, 2014, (Online). Available: http://ijecs.in/issue/v3-i10/44 ijecs.pdf.
[26] B. Scholtz and D. Atukwase, “An Analysis of the Perceived Benefits and Drawbacks of Cloud ERP Systems: A South African Study,” pp. 75–87, 2016, doi: 10.1007/978-3-319-25153-0_7.
[27] S. S. Bharadwaj and P. Lal, “Exploring the impact of cloud computing adoption on organizational flexibility: A client perspective,” Proc. 2012 Int. Conf. Cloud Comput. Technol. Appl. Manag. ICCCTAM 2012, pp. 121–131, 2012, doi: 10.1109/ICCCTAM.2012.6488085.
[28] E. M. Rogers, Diffusion of Innovations, 4th Edition. Free Press, 2010.
[29] R. G. Fichman, “Information Technology Diffusion: A Review of Empirical Research,” 1992.
[30] G. C. Moore and I. Benbasat, “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,” Inf. Syst. Res., vol. 2, no. 3, pp. 192–222, 1991, doi: 10.1287/isre.2.3.192.
[31] L. G. Tornatzky et al., “The Process of Technological Innovation: Reviewing the Literature,” Natl. Sci. Found., no. May, pp. x, 264, 1983, (Online). Available: http://www.csa.com/partners/viewrecord.php?requester=gs&collection=TRD&recid=N8426466AH.
[32] Y. Zhu, Y. Li, W. Wang, and J. Chen, “What leads to post-implementation success of ERP? An empirical study of the Chinese retail industry,” Int. J. Inf. Manage., vol. 30, no. 3, pp. 265–276, 2010, doi: 10.1016/j.ijinfomgt.2009.09.007.
[33] H. Liu and X. Wang, “Strategy Research of Enterprise Information Planning Based on TOE-TAM Model: Case Study for ERP Implementation of a Discrete Manufacturing,” in 2010 2nd International Workshop on Database Technology and Applications, 2010, pp. 1–5, doi: 10.1109/DBTA.2010.5658969.
[34] E. M. Rogers, Diffusion of innovations. New York: Free Press, 1995.
[35] R. Martins, T. Oliveira, and M. A. Thomas, “An empirical analysis to assess the determinants of SaaS diffusion in firms,” Comput. Human Behav., vol. 62, pp. 19–33, 2016, doi: 10.1016/j.chb.2016.03.049.
[36] T. Oliveira, M. Thomas, and M. Espadanal, “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors,” Inf. Manag., vol. 51, no. 5, pp. 497–510, 2014, doi: 10.1016/j.im.2014.03.006.
[37] H. F. Cervone, “Managing Digital Libraries : An overview of virtual and cloud computing,” 2010, doi: 10.1108/10650751011073607.
[38] M. Amini and A. Bakri, “Cloud Computing Adoption by SMEs in the Malaysia : A Multi-Perspective Framework based on DOI Theory and TOE Framework,” vol. 9, no. 2, 2015.
[39] K. R. Sarkar, “Assessing insider threats to information security using technical , behavioural and organisational measures,” Inf. Secur. Tech. Rep., vol. 15, no. 3, pp. 112–133, 2010, doi: 10.1016/j.istr.2010.11.002.
[40] M. Espadanal, “Cloud Computing Adoption by firms,” 2012.
[41] M. Chopra, J. Mungi, and K. Chopra, “A survey on use of cloud computing in various fields,” Int. J. Sci. Eng. Technol. Res., vol. 2, no. 2, pp. 480–488, 2013.
[42] M. Lutovac and D. Manojlov, “The successful methodology for enterprise resource planning (ERP) implementation,” J. Mod. Account. Audit., vol. 8, no. 12, p. 1838, 2012.
[43] S. Venkatraman and K. Fahd, “Challenges and success factors of ERP systems in australian SMEs,” Systems, vol. 4, no. 2, 2016, doi: 10.3390/systems4020020.
[44] C. Low, Y. Chen, and M. Wu, “Understanding the determinants of cloud computing adoption,” Ind. Manag. Data Syst., vol. 111, no. 7, pp. 1006–1023, 2011, doi: 10.1108/02635571111161262.
[45] S. K. Lippert and C. Govindarajulu, “Technological, organizational, and environmental antecedents to web services adoption,” Commun. IIMA, vol. 6, no. 1, p. 14, 2006.
[46] F. F. H. Nah, K. M. Zuckweiler, and J. L. S. Lau, “ERP implementation: Chief information officers’ perceptions of critical success factors,” Int. J. Hum. Comput. Interact., vol. 16, no. 1, pp. 5–22, 2003, doi: 10.1207/S15327590IJHC1601_2.
[47] F. Thiesse, T. Staake, P. Schmitt, and E. Fleisch, “The rise of the ‘next‐generation bar code’: an international RFID adoption study,” Supply Chain Manag. An Int. J., vol. 16, no. 5, pp. 328–345, Jan. 2011, doi: 10.1108/13598541111155848.
[48] C. Cartman and A. Salazar, “The influence of organisational size, internal IT capabilities, and competitive and vendor pressures on ERP adoption in SMEs,” Int. J. Enterp. Inf. Syst., vol. 7, no. 3, pp. 68–92, 2011.
[49] J. Henseler, C. M. Ringle, and R. R. Sinkovics, “The use of partial least squares path modeling in international marketing,” in New Challenges to International Marketing, vol. 20, R. R. Sinkovics and P. N. Ghauri, Eds. Emerald Group Publishing Limited, 2009, pp. 277–319.
[50] J. F. Hair, W. C. Black, and B. J. Babin, Multivariate Data Analysis: A Global Perspective. Pearson Education, 2010.
[51] J. F. Hair, C. M. Ringle, and M. Sarstedt, “Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance,” Long Range Plann., vol. 46, no. 1–2, pp. 1–12, 2013.
[52] A. Lehman, N. O’Rourke, L. Hatcher, and E. Stepanski, JMP for basic univariate and multivariate statistics: methods for researchers and social scientists. Sas Institute, 2013.
[53] P. R. Hinton, C. Brownlow, B. Cozens, and I. McMurray, SPSS Explained. Routledge, 2004.
[54] R. A. Peterson, “Meta-analysis of Alpha Cronbach ’ s Coefficient,” J. Consum. Res., vol. 21, no. 2, pp. 381–391, 2013.
[55] J. C. Nunnally, Psychometric Theory. McGraw-Hill, 1967.
[56] B. B.-H. Chai, P. S. Tan, and T. S. Goh, “Banking Services that Influence the Bank Performance,” Procedia - Soc. Behav. Sci., vol. 224, no. August 2015, pp. 401–407, 2016, doi: 10.1016/j.sbspro.2016.05.405.
[57] Y. P. Pai and S. T. Chary, “Dimensions of hospital service quality: A critical review: Perspective of patients from global studies,” Int. J. Health Care Qual. Assur., vol. 26, no. 4, pp. 308–340, 2013, doi: 10.1108/09526861311319555.
[58] C. Fornell and D. F. Larcker, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” J. Mark. Res., vol. 18, no. 1, pp. 39–50, 1981, doi: 10.1177/002224378101800104.
[59] M. Bataille, M. Vonarx, and A. Vermersch-Langlin, “Illustration of diagnostic and prognostic difficulties during the early stages of generalized bullous fixed drug eruptions,” Eur. J. Dermatology, vol. 27, no. 1, pp. 86–88, 2017, doi: 10.1684/ejd.2016.2884.
[60] D. E. Farrar and R. R. Glauber, “Multicollinearity in Regression Analysis: The Problem Revisited,” Rev. Econ. Stat., vol. 49, no. 1, pp. 92–107, Oct. 1967, doi: 10.2307/1937887.
[61] A. Alin, “Multicollinearity,” WIREs Comput. Stat., vol. 2, no. 3, pp. 370–374, 2010, doi: https://doi.org/10.1002/wics.84.
[62] M. Alauddin and H. S. Nghiemb, “Do Instructional Attributes pose Multicollinearity Problems ? An Empirical Exploration,” Econ. Anal. Policy, vol. 40, no. 3, pp. 351–361, 2010, doi: 10.1016/S0313-5926(10)50034-1.
[63] C. H. J. C. Lin, “Factors affecting the adoption of cloud services in enterprises,” Inf. Syst. E-bus. Manag., vol. 14, no. 4, pp. 791–822, 2016, doi: 10.1007/s10257-015-0300-9.
[64] M. Amini and A. Bakri, “Cloud computing adoption by SMEs in the Malaysia: a multi-perspective framework based on DOI theory and TOE framework,” J. Inf. Technol. Inf. Syst. Res., vol. 9, no. 2, pp. 121–135, 2015.
[65] Y. Alshamaila, S. Papagiannidis, and F. Li, “Cloud computing adoption by SMEs in the north east of England: A multi‐perspective framework,” J. Enterp. Inf. Manag., 2013.
[66] A. Alhammadi, C. Stanier, and A. Eardley, “The determinants of cloud computing adoption in Saudi Arabia,” 2015.
[67] Naseebullah, S. Bin Basri, P. D. D. Dominic, and M. Jehangir, “Technology readiness impact on E-procurement implementation,” ICBEIA 2011 - 2011 Int. Conf. Business, Eng. Ind. Appl., pp. 89–93, 2011, doi: 10.1109/ICBEIA.2011.5994265.
[68] P. Ifinedo, “An empirical analysis of factors influencing Internet/e-business technologies adoption by SMEs in Canada,” Int. J. Inf. Technol. Decis. Mak., vol. 10, no. 04, pp. 731–766, 2011.
[69] A. Gutierrez, E. Boukrami, and R. Lumsden, “Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK,” J. Enterp. Inf. Manag., 2015.
[70] M. M. Salem and G.-H. Hwang, “Critical Factors Influencing Adoption of Cloud Computing for Government Organizations in Yemen,” J. Distrib. Sci., vol. 14, no. 11, pp. 37–47, 2016.
[71] P. K. Senyo, J. Effah, and E. Addae, “Preliminary insight into cloud computing adoption in a developing country,” vol. 29, no. 4, pp. 505–524, 2016, doi: 10.1108/JEIM-09-2014-0094.
[1] M. Ali, E. S. Nasr, and M. H. Gheith, “A requirements elicitation approach for cloud based software product line ERPs,” ACM Int. Conf. Proceeding Ser., vol. 28-29-May-, pp. 34–39, 2016, doi: 10.1145/2944165.2944171.
[2] M. A. Abd Elmonem, E. S. Nasr, and M. H. Geith, “Benefits and challenges of cloud ERP systems – A systematic literature review,” Futur. Comput. Informatics J., vol. 1, no. 1–2, pp. 1–9, 2016, doi: 10.1016/j.fcij.2017.03.003.
[3] D. Maditinos, D. Chatzoudes, and C. Tsairidis, “Factors affecting ERP system implementation effectiveness,” J. Enterp. Inf. Manag., vol. 25, no. 1, pp. 60–78, 2011, doi: 10.1108/17410391211192161.
[4] M. A. AL-Shboul, “Towards better understanding of determinants logistical factors in SMEs for cloud ERP adoption in developing economies,” Bus. Process Manag. J., vol. 25, no. 5, pp. 887–907, 2019, doi: 10.1108/BPMJ-01-2018-0004.
[5] U. M. Z. Usman, M. N. Ahmad, and N. H. Zakaria, “The determinants of adoption of cloud-based ERP of Nigerian’s SMEs manufacturing sector using TOE framework and DOI theory,” Int. J. Enterp. Inf. Syst., vol. 15, no. 3, pp. 27–43, 2019, doi: 10.4018/IJEIS.2019070102.
[6] L. Jain and S. Bhardwaj, “Enterprise Cloud Computing: Key Considerations for Adoption,” Int. J. Eng. Inf. Technol., vol. 2, Jan. 2010.
[7] M. Zamzeer, Y. Alshamaileh, H. I. Alsawalqah, M. Al-Hassan, E. J. A. Fannas, and S. S. Almubideen, “Determinants of cloud ERP adoption in Jordan: An exploratory study,” Int. J. Bus. Inf. Syst., vol. 34, no. 2, pp. 204–228, 2020, doi: 10.1504/IJBIS.2020.108342.
[8] S. Gupta, S. C. Misra, N. Kock, and D. Roubaud, “Organizational, technological and extrinsic factors in the implementation of cloud ERP in SMEs,” J. Organ. Chang. Manag., vol. 31, no. 1, pp. 83–102, 2018, doi: 10.1108/JOCM-06-2017-0230.
[9] S. L. Saini, D. Kumar Saini, J. H. Yousif, and S. V. Khandage, “Cloud computing and enterprise resource planning systems,” Proc. World Congr. Eng. 2011, WCE 2011, vol. 1, pp. 681–684, 2011.
[10] N. Sénica, C. Teixeira, and J. S. Pinto, “Cloud computing: A platform of services for services,” Commun. Comput. Inf. Sci., vol. 220 CCIS, no. PART 2, pp. 91–100, 2011, doi: 10.1007/978-3-642-24355-4_10.
[11] R. Sharma and B. Keswani, “Study of Cloud Based ERP Services for Small and Medium Enterprises (Data is Processed by Text Mining Technique),” Sales. J. Inf. Syst., vol. 1, no. 13, pp. 2–10, 2014.
[12] G. J. Mohammed and M. A. Burhanuddin, “The Influence of Factors to Adopt Cloud-based ERP for Iraqi SMEs,” J. Adv. Res. Dyn. Control Syst., vol. 10, 2018.
[13] A. M. AlBar and M. R. Hoque, “Factors affecting cloud ERP adoption in Saudi Arabia: An empirical study,” Inf. Dev., vol. 35, no. 1, pp. 150–164, 2019, doi: 10.1177/0266666917735677.
[14] U. Iqbal, E. Uppström, and G. Juell-Skielse, “Cloud ERP implementation challenges: A study based on ERP life cycle model,” in Advances in Enterprise Information Systems II :, 2012, no. 1, pp. 389–405, doi: 10.1201/b12295-43.
[15] D. A. Almajali, R. Masa’deh, and A. Tarhini, “Antecedents of ERP systems implementation success: a study on Jordanian healthcare sector,” J. Enterp. Inf. Manag., vol. 29, no. 4, pp. 549–565, 2016, doi: 10.1108/JEIM-03-2015-0024.
[16] S. V. Grabski, S. A. Leech, and P. J. Schmidt, “A review of ERP research: A future agenda for accounting information systems,” J. Inf. Syst., vol. 25, no. 1, pp. 37–78, 2011, doi: 10.2308/jis.2011.25.1.37.
[17] F. Mahmood, A. Z. Khan, and R. H. Bokhari, “ERP issues and challenges: a research synthesis,” Kybernetes, vol. 49, no. 3, pp. 629–659, 2020, doi: 10.1108/K-12-2018-0699.
[18] N. S. A. Suhaimi, A. Nawawi, and A. S. A. P. Salin, “Impact of enterprise resource planning on management control system and accountants’ role,” Int. J. Econ. Manag., vol. 10, no. 1, pp. 93–108, 2016.
[19] D. M. Bahssas, A. M. AlBar, and M. R. Hoque, “Enterprise Resource Planning (ERP) Systems: Design, Trends and Deployment,” Int. Technol. Manag. Rev., vol. 5, no. 2, p. 72, 2015, doi: 10.2991/itmr.2015.5.2.2.
[20] C. M. Navaneethakrishnan, “A Comparative Study of Cloud based ERP systems with Traditional ERP and Analysis of Cloud ERP implementation,” Int. J. Eng. Comput. Sci., vol. 2, no. 9, pp. 2866–2869, 2013.
[21] K. Haji Salum and M. Z. Abd Rozan, “Exploring the Challenge Impacted SMEs to Adopt Cloud ERP,” Indian J. Sci. Technol., vol. 9, no. 45, 2016, doi: 10.17485/ijst/2016/v9i45/100452.
[22] H. Klaus, M. Rosemann, and G. G. Gable, “What is ERP ?,” 2000.
[23] M. Al-Mashari, A. Al-Mudimigh, and M. Zairi, “Enterprise resource planning: A taxonomy of critical factors,” Eur. J. Oper. Res., vol. 146, no. 2, pp. 352–364, 2003, doi: https://doi.org/10.1016/S0377-2217(02)00554-4.
[24] C. R. Holland and B. Light, “A critical success factors model for ERP implementation,” IEEE Softw., vol. 16, no. 3, pp. 30–36, 1999, doi: 10.1109/52.765784.
[25] R. Pareek, “Analytical Study of Cloud ERP and ERP,” Int. J. Eng. Comput. Sci., vol. 3, no. 10, pp. 8710–8717, 2014, (Online). Available: http://ijecs.in/issue/v3-i10/44 ijecs.pdf.
[26] B. Scholtz and D. Atukwase, “An Analysis of the Perceived Benefits and Drawbacks of Cloud ERP Systems: A South African Study,” pp. 75–87, 2016, doi: 10.1007/978-3-319-25153-0_7.
[27] S. S. Bharadwaj and P. Lal, “Exploring the impact of cloud computing adoption on organizational flexibility: A client perspective,” Proc. 2012 Int. Conf. Cloud Comput. Technol. Appl. Manag. ICCCTAM 2012, pp. 121–131, 2012, doi: 10.1109/ICCCTAM.2012.6488085.
[28] E. M. Rogers, Diffusion of Innovations, 4th Edition. Free Press, 2010.
[29] R. G. Fichman, “Information Technology Diffusion: A Review of Empirical Research,” 1992.
[30] G. C. Moore and I. Benbasat, “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,” Inf. Syst. Res., vol. 2, no. 3, pp. 192–222, 1991, doi: 10.1287/isre.2.3.192.
[31] L. G. Tornatzky et al., “The Process of Technological Innovation: Reviewing the Literature,” Natl. Sci. Found., no. May, pp. x, 264, 1983, (Online). Available: http://www.csa.com/partners/viewrecord.php?requester=gs&collection=TRD&recid=N8426466AH.
[32] Y. Zhu, Y. Li, W. Wang, and J. Chen, “What leads to post-implementation success of ERP? An empirical study of the Chinese retail industry,” Int. J. Inf. Manage., vol. 30, no. 3, pp. 265–276, 2010, doi: 10.1016/j.ijinfomgt.2009.09.007.
[33] H. Liu and X. Wang, “Strategy Research of Enterprise Information Planning Based on TOE-TAM Model: Case Study for ERP Implementation of a Discrete Manufacturing,” in 2010 2nd International Workshop on Database Technology and Applications, 2010, pp. 1–5, doi: 10.1109/DBTA.2010.5658969.
[34] E. M. Rogers, Diffusion of innovations. New York: Free Press, 1995.
[35] R. Martins, T. Oliveira, and M. A. Thomas, “An empirical analysis to assess the determinants of SaaS diffusion in firms,” Comput. Human Behav., vol. 62, pp. 19–33, 2016, doi: 10.1016/j.chb.2016.03.049.
[36] T. Oliveira, M. Thomas, and M. Espadanal, “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors,” Inf. Manag., vol. 51, no. 5, pp. 497–510, 2014, doi: 10.1016/j.im.2014.03.006.
[37] H. F. Cervone, “Managing Digital Libraries : An overview of virtual and cloud computing,” 2010, doi: 10.1108/10650751011073607.
[38] M. Amini and A. Bakri, “Cloud Computing Adoption by SMEs in the Malaysia : A Multi-Perspective Framework based on DOI Theory and TOE Framework,” vol. 9, no. 2, 2015.
[39] K. R. Sarkar, “Assessing insider threats to information security using technical , behavioural and organisational measures,” Inf. Secur. Tech. Rep., vol. 15, no. 3, pp. 112–133, 2010, doi: 10.1016/j.istr.2010.11.002.
[40] M. Espadanal, “Cloud Computing Adoption by firms,” 2012.
[41] M. Chopra, J. Mungi, and K. Chopra, “A survey on use of cloud computing in various fields,” Int. J. Sci. Eng. Technol. Res., vol. 2, no. 2, pp. 480–488, 2013.
[42] M. Lutovac and D. Manojlov, “The successful methodology for enterprise resource planning (ERP) implementation,” J. Mod. Account. Audit., vol. 8, no. 12, p. 1838, 2012.
[43] S. Venkatraman and K. Fahd, “Challenges and success factors of ERP systems in australian SMEs,” Systems, vol. 4, no. 2, 2016, doi: 10.3390/systems4020020.
[44] C. Low, Y. Chen, and M. Wu, “Understanding the determinants of cloud computing adoption,” Ind. Manag. Data Syst., vol. 111, no. 7, pp. 1006–1023, 2011, doi: 10.1108/02635571111161262.
[45] S. K. Lippert and C. Govindarajulu, “Technological, organizational, and environmental antecedents to web services adoption,” Commun. IIMA, vol. 6, no. 1, p. 14, 2006.
[46] F. F. H. Nah, K. M. Zuckweiler, and J. L. S. Lau, “ERP implementation: Chief information officers’ perceptions of critical success factors,” Int. J. Hum. Comput. Interact., vol. 16, no. 1, pp. 5–22, 2003, doi: 10.1207/S15327590IJHC1601_2.
[47] F. Thiesse, T. Staake, P. Schmitt, and E. Fleisch, “The rise of the ‘next‐generation bar code’: an international RFID adoption study,” Supply Chain Manag. An Int. J., vol. 16, no. 5, pp. 328–345, Jan. 2011, doi: 10.1108/13598541111155848.
[48] C. Cartman and A. Salazar, “The influence of organisational size, internal IT capabilities, and competitive and vendor pressures on ERP adoption in SMEs,” Int. J. Enterp. Inf. Syst., vol. 7, no. 3, pp. 68–92, 2011.
[49] J. Henseler, C. M. Ringle, and R. R. Sinkovics, “The use of partial least squares path modeling in international marketing,” in New Challenges to International Marketing, vol. 20, R. R. Sinkovics and P. N. Ghauri, Eds. Emerald Group Publishing Limited, 2009, pp. 277–319.
[50] J. F. Hair, W. C. Black, and B. J. Babin, Multivariate Data Analysis: A Global Perspective. Pearson Education, 2010.
[51] J. F. Hair, C. M. Ringle, and M. Sarstedt, “Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance,” Long Range Plann., vol. 46, no. 1–2, pp. 1–12, 2013.
[52] A. Lehman, N. O’Rourke, L. Hatcher, and E. Stepanski, JMP for basic univariate and multivariate statistics: methods for researchers and social scientists. Sas Institute, 2013.
[53] P. R. Hinton, C. Brownlow, B. Cozens, and I. McMurray, SPSS Explained. Routledge, 2004.
[54] R. A. Peterson, “Meta-analysis of Alpha Cronbach ’ s Coefficient,” J. Consum. Res., vol. 21, no. 2, pp. 381–391, 2013.
[55] J. C. Nunnally, Psychometric Theory. McGraw-Hill, 1967.
[56] B. B.-H. Chai, P. S. Tan, and T. S. Goh, “Banking Services that Influence the Bank Performance,” Procedia - Soc. Behav. Sci., vol. 224, no. August 2015, pp. 401–407, 2016, doi: 10.1016/j.sbspro.2016.05.405.
[57] Y. P. Pai and S. T. Chary, “Dimensions of hospital service quality: A critical review: Perspective of patients from global studies,” Int. J. Health Care Qual. Assur., vol. 26, no. 4, pp. 308–340, 2013, doi: 10.1108/09526861311319555.
[58] C. Fornell and D. F. Larcker, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” J. Mark. Res., vol. 18, no. 1, pp. 39–50, 1981, doi: 10.1177/002224378101800104.
[59] M. Bataille, M. Vonarx, and A. Vermersch-Langlin, “Illustration of diagnostic and prognostic difficulties during the early stages of generalized bullous fixed drug eruptions,” Eur. J. Dermatology, vol. 27, no. 1, pp. 86–88, 2017, doi: 10.1684/ejd.2016.2884.
[60] D. E. Farrar and R. R. Glauber, “Multicollinearity in Regression Analysis: The Problem Revisited,” Rev. Econ. Stat., vol. 49, no. 1, pp. 92–107, Oct. 1967, doi: 10.2307/1937887.
[61] A. Alin, “Multicollinearity,” WIREs Comput. Stat., vol. 2, no. 3, pp. 370–374, 2010, doi: https://doi.org/10.1002/wics.84.
[62] M. Alauddin and H. S. Nghiemb, “Do Instructional Attributes pose Multicollinearity Problems ? An Empirical Exploration,” Econ. Anal. Policy, vol. 40, no. 3, pp. 351–361, 2010, doi: 10.1016/S0313-5926(10)50034-1.
[63] C. H. J. C. Lin, “Factors affecting the adoption of cloud services in enterprises,” Inf. Syst. E-bus. Manag., vol. 14, no. 4, pp. 791–822, 2016, doi: 10.1007/s10257-015-0300-9.
[64] M. Amini and A. Bakri, “Cloud computing adoption by SMEs in the Malaysia: a multi-perspective framework based on DOI theory and TOE framework,” J. Inf. Technol. Inf. Syst. Res., vol. 9, no. 2, pp. 121–135, 2015.
[65] Y. Alshamaila, S. Papagiannidis, and F. Li, “Cloud computing adoption by SMEs in the north east of England: A multi‐perspective framework,” J. Enterp. Inf. Manag., 2013.
[66] A. Alhammadi, C. Stanier, and A. Eardley, “The determinants of cloud computing adoption in Saudi Arabia,” 2015.
[67] Naseebullah, S. Bin Basri, P. D. D. Dominic, and M. Jehangir, “Technology readiness impact on E-procurement implementation,” ICBEIA 2011 - 2011 Int. Conf. Business, Eng. Ind. Appl., pp. 89–93, 2011, doi: 10.1109/ICBEIA.2011.5994265.
[68] P. Ifinedo, “An empirical analysis of factors influencing Internet/e-business technologies adoption by SMEs in Canada,” Int. J. Inf. Technol. Decis. Mak., vol. 10, no. 04, pp. 731–766, 2011.
[69] A. Gutierrez, E. Boukrami, and R. Lumsden, “Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK,” J. Enterp. Inf. Manag., 2015.
[70] M. M. Salem and G.-H. Hwang, “Critical Factors Influencing Adoption of Cloud Computing for Government Organizations in Yemen,” J. Distrib. Sci., vol. 14, no. 11, pp. 37–47, 2016.
[71] P. K. Senyo, J. Effah, and E. Addae, “Preliminary insight into cloud computing adoption in a developing country,” vol. 29, no. 4, pp. 505–524, 2016, doi: 10.1108/JEIM-09-2014-0094.
@article{"International Journal of Business, Human and Social Sciences:80669", author = "Mayar A. Omar and Ismail Gomaa and Heba Badawy and Hosam Moubarak", title = "An Examination of the Factors Affecting the Adoption of Cloud Enterprise Resource Planning Systems in Egyptian Companies", abstract = "Enterprise resource planning (ERP) is an integrated system that helps companies in managing their resources. There are two types of ERP systems, the traditional ERP systems, and the cloud ERP systems. Cloud ERP systems were introduced after the development of cloud computing technology. This research aims to identify the factors that affect the adoption of cloud ERP in Egyptian companies. Moreover, the aim of our study is to provide guidance to Egyptian companies in the cloud ERP adoption decision and to participate in increasing the number of the cloud ERP studies that are conducted in the Middle East and in developing countries. There are many factors influencing the adoption of cloud ERP in Egyptian organizations which are discussed and explained in the research. Those factors are examined through combining the Diffusion of Innovation theory (DOI) and technology-organization-environment framework (TOE). Data were collected through a survey that was developed using constructs from the existing studies of cloud computing and cloud ERP technologies and was then modified to fit our research. The analysis of the data was based on Structural Equation Modeling (SEM) using Smart PLS software that was used for the empirical analysis of the research model.", keywords = "cloud computing, cloud ERP systems, DOI, Egypt, SEM, TOE", volume = "16", number = "2", pages = "19-10", }
