Enterprise resources planning (ERP) systems enable central and integrative control over all processes throughout an organisation by ensuring one data entry point and the use of a common database. This paper analyses the attitude of healthcare personnel towards the use of an ERP system in a Spanish public hospital, identifying influencing factors. This research is based on a regression analysis of latent variables using the optimisation technique of partial least squares. We propose a research model including possible relationships among different constructs using the technology acceptance model. Our results show that the personal characteristics of potential users are key factors in explaining attitude towards using ERP systems.
AikenM.HageJ. (1971). The organic organization and innovation. Sociology5: 63–82.
2.
AkkermansH.van HeldenK. (2002). Vicious and virtuous cycles in ERP implementation: A case study of interrelations between critical success factors. European Journal of Information Systems11: 35–46.
3.
AlshawiS.ThemistocleousM.AlmadaniR. (2004). Integrating diverse ERPs: A case study. Journal of Enterprise Information Management17: 454–462.
4.
Amoako-GyampahK.SalamA.F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management41: 731–45.
5.
AndersonJ.G. (1997). Clearing the way for physicians' use of clinical information systems. Communications of the ACM40(8): 83–90.
6.
BeckerS.W.WhislerT.L. (1967). The innovative organization: A selective view of current theory and research. Journal of Business40: 462–469.
7.
BerchetC.HabchiG. (2005). The implementation and development of an ERP: An industrial case study. Computer in Industry56: 588–605.
8.
BingiRSharmaM.K.GodlaJ.K. (1999). Critical issues affecting an ERP implementation. Information Systems Management16(3): 7–14.
9.
Botta-GenoulazVMilletP.A.GrabotB. (2005). A survey on the recent research literature on ERP systems. Computers in Industry56: 510–522.
10.
BradfordM.FlorinJ. (2003). Examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems. International Journal of Accounting Information Systems4(3): 205–225.
11.
BradleyJ.LeeC.C. (2007). ERP training and user satisfaction: A case study. International Journal of Enterprise Information Systems3(4): 33–55.
12.
BrambleJ.D.GaltK.A.SiracuseM.V.AbbottA.A.DrincicA.PaschalK.A.FujiK.T. (2010). The relationship between physician practice characteristics and physician adoption of electronic health records. Health Care Management Review35(1): 55–64.
13.
BrownS.A.MassayA.P.Montoya-WeissM.M.BurkmanJ.R. (2002). Do I really have to? User acceptance of mandated technology. European Journal of Information Systems11(4): 283–295.
14.
BuenoS.SalmerónJ.L. (2008). TAM-based success modeling in ERPInteracting with Computers20(6): 515–523.
15.
BurkeM.EvansW.D. (2003). Information Technology Survey Report for the Turning Point National Excellence Collaborative for Information Technology. Seattle, WA, American Institutes for Research.
16.
CalisirF.GumussoyC.A.BayramA. (2009). Predicting the behavioural intention to use enterprise resource planning systems – an exploratory extension of the technology acceptance model. Management Research News32(7): 597–613.
17.
CarrA.S.ZhangM.KloppingI.MinH. (2010). RFID technology: Implications for health care organizations. American Journal of Business25(2): 25–40.
18.
ChaudhryB.WangJ.WuS.MaglioneM.MojicaWRothE.ShekelleP.G. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine144(10): 742–752.
19.
ChinW.W. (1998). The partial least squares approach to structural equation modelling. In: Modern Methods for Business Research. MarcoulidesG.A. (Ed.), Lawrence Erlbaum and Associates: 295–336.
20.
ChinW.W.FryeT. (2003). PLS-graph version 3. University of Houston.
21.
ChurchillG.A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research16: 64–73.
22.
CronbachL.J. (1970). Essentials of psychological testing. New York, Harper and Row.
23.
DavenportT. (1998). Putting the enterprise into the enterprise system. Harvard Business Review76(4): 121–131.
24.
DavisF.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly13(3): 319–339.
25.
DavisF.D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies38: 475–487.
26.
DavisF.D.BagozziR.P.WarshawP.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science35(8): 982–1003.
27.
DuanL.StreetW.N.XubE. (2011). Healthcare information systems: Data mining methods in the creation of a clinical recommender system. Enterprise Information Systems5(2):169–181.
28.
EastaughS.R. (2010). Hospital productivity and information technology. Journal of Health Care Finance36(4): 27–37.
29.
EfronD.GongG.G. (1983). A leisurely look at the bootstrap, the jack-knife and cross-validation. The American Statistician37(1): 36–48.
30.
FalkR.F.MillerN. (1992). A primer for soft modelling. The University of Akron Press.
31.
FinneyS.CorbettM. (2007). ERP implementation: A compilation and analysis of critical success factors. Business Process Management Journal13(3): 329–347.
32.
GargeyaV.B.BradyC. (2005). Success and failure factors of adopting SAP in ERP system implementation. Business Process Management Journal11(5): 501–516.
33.
GefenD.StraubD.W.BoudreauM.C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems4(7):1–70.
34.
GerbingD.W.AndersonJ.C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research25: 186–192.
35.
HelfrichC.WeinerB.McKinneyM.MinasianL. (2007). Determinants of implementation effectiveness: Adapting a framework for complex innovations. Medical Care Research and Review64(3): 279.
36.
HsuS.H.ChenW.H.HsiehM.J. (2006). Robustness testing of PLS, Lisrel, EQS and Ann-based SEM for measuring customer satisfaction. Total Quality Management17(3): 355–371.
37.
HullandJ. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal20(2): 195–204.
38.
ImraB.F.MurphyK.E.SimonS.J. (2000). Integrating ERP in the business school curriculum. Communications of the ACM43:39–41.
39.
JiangJ.J.KleinG.SlykeC.V.CheneyP, (2003). A note on interpersonal and communication skills for is professionals: Evidence of positive influence. Decision Sciences34(4): 799–813.
40.
KansalV. (2006). Enterprise resource planning implementation; a case study. Journal of American Academy of Business9: 165–170.
41.
KatherineJ.K.KnightA.P. (2005). Innovation implementation overcoming the challenge. Current Directions in Psychological Science14 (5): 243–246.
42.
KhoumbatiK.ThemistocleusM.IraniZ. (2006). Evaluating the adoption of enterprise application integration in healthcare organizations. Journal of Management Information Systems22(4): 69–108.
43.
KwahkK.Y.KimH. (2007). Managing readiness in enterprise systems-driven organizational change result. Behaviour & Information Technology27(1): 79–87.
44.
KwahkK.Y.LeeJ.N. (2008). The role of readiness for change in ERP implementation: Theoretical bases and empirical validation. Information & Management45(7): 474–481.
45.
LeeD.H.LeeS.M.OlsonD.L.ChungS.H. (2010). The effect of organizational support on ERP implementation. Industrial Management & Data Systems110(1/2): 269–383.
46.
LeungR.C. (2012). Health information technology and dynamic capabilities. Health Care Management Review37(1):43–53.
47.
LévyJ.P.ValencianoJ.MichalT. (2009). Modeling distribution channel dynamics of North American cars in the Spanish automobile industry. International Advances in Economic Research15: 186–206.
48.
LiL.X.CollierD.A. (2000). The role of technology and quality on hospital financial performance. An exploratory analysis. Journal of Service Management11(3): 202–224.
49.
LiuL.MaQ. (2006). Perceived system performance: A test of an extended technology acceptance model. Journal of Organizational and End User Computing18(3): 1–24.
50.
LucasH.C.WaltonE.J.GinzbergM.J. (1988). Implementing packaged software. MIS Quarterly12: 537–549.
51.
MathiesonK. (1991). Predicting user intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research September: 173–191.
52.
MeloneN.P. (1990). A theoretical assessment of the user-satisfaction construct in information systems research. Management Science36(1):76–91.
53.
MessineoM.DeOllosI.Y. (2005). Are we assuming too much? Exploring students' perceptions of their computer competence. College Teaching53(2): 50–56.
54.
MuscatelloJ.R.SmallM.H.ChenI.J. (2003). Implementing Enterprise Resource Planning (ERP) system in small and midsize manufacturing firms. International Journal of Operations and Production Management23(8): 850–871.
55.
NahFFLauJ.KuangJ. (2001). Critical factors for successful implementation of enterprise systems. Business Process Management Journal7(3): 285–293.
56.
NahFFTanX.TehS.H. (2004). An empirical investigation on end-users' acceptance of enterprise systems. Information Resources Management Journal17(3): 32–53.
57.
NewmanM.WestrupC. (2005). Making ERPs work: Accountants and the introduction of ERP systems. European Journal of Information Systems14: 258–272.
58.
NgaiE.W.T.LawC.C.H.WatF.K.T. (2007). Examining the critical success factors in the adoption of enterprise resource planning. Computers in Industry59: 548–564.
59.
NicolaouA.I. (2004). Firm performance effects in relation to the implementation and use of Enterprise Resource Planning Systems. Journal of Information Systems18(2): 79–105.
60.
NunnallyJ.C. (1978). Psychometric theory (2nd Edition). New York, McGraw-Hill.
61.
OchiengO.G.HosoiR. (2006). Factors influencing diffusion of electronic medical records: A case study in three healthcare institutions in Japan. Health Information Management Journal34(4): 120–129.
62.
PanS.L.NewellS.HuangJ.GalliersR.D. (2007). Overcoming knowledge management challenges during ERP implementation: The need to integrate and share different types of knowledge. Journal of the American Society for Information Science and Technology58(3): 404–419.
63.
PizziniM.J. (2006). The relation between cost-system design, managers' evaluations of the relevance and usefulness of cost data, and financial performance: An empirical study of US hospitals. Accounting Organizations and Society31(2): 179–210.
64.
PortougalV. (2005). ERP implementation for production planning at EA Cakes Ltd. Journal of Cases on Information Technology7(3): 98–109.
65.
QuattronePHopperT. (2005). A “time-space odyssey”: Management control systems in two multinational organisations. Accounting, Organizations and Society30: 735–764.
66.
RagothamanS. (2012). Voluntary xbrl adopters and firm characteristics: An empirical analysis. The International Journal of Digital Accounting Research12: 93–119.
67.
RamayahT.LoM.C. (2007). Impact of shared beliefs on “perceived usefulness” and “ease of use” in the implementation of an enterprise resource planning system. Management Research News30(6): 420–431.
68.
RobinsonL.Jr.MarshallG.W.StampsM.B. (2005). Sales force use of technology: Antecedents to technology acceptance. Journal of Business Research (58): 1623–1631.
69.
Santamaría-SánchezL.Núñez-NickelM.Gago-RodríguezS. (2010). The role played by interdependences in ERP implementations: An empirical analysis of critical factors that minimize elapsed time. Information & Management47(2): 87–95.
70.
ShiversS.L.CharlesA.C. (2006). Ready, set, go: Examining student readiness to use ERP technology. Journal of Management Development25(8): 795–805.
71.
ShohamS.GonenA. (2008). Intentions of hospital nurses to work with computers. Computers, Informatics, Nursing26(2):106–116.
72.
SinghR.MathiassenL.StachuraM.E.AstapovaE.V. (2011). Dynamic capabilities in home health: IT-enabled transformation of post-acute care. Journal of the Association for Information Systems12(Special Issue): 163–188.
73.
SohC.SiaS.K.Tay-YapJ. (2000). Cultural fits and misfits: Is ERP a universal solution?Communications of the ACM43(4): 47–51.
74.
StefanouC.J.RevanolouA. (2006). ERP integration in a health care environment: A case study. Journal of Enterprise Information Management19: 115–130.
75.
SternadS.GradisarM.BobekS. (2011). The influence of external factors on routine ERP usage. Industrial Management & Data Systems111(9): 1511–1530.
76.
ThuemmlerC.W.BuchananA.FekriH.LawsonA. (2009). Radio frequency identification (RFID) in pervasive health care. International. Journal Health Care Technology Management10(1/2): 119–131.
77.
van MerodeG.G.GroothuisS.HasmanA. (2004). Enterprise resource planning for hospitals. International Journal of Medical Informatics73: 493–501.
78.
VenkateshV.BalaH. (2008). Technology acceptance model- a research agenda on interventions. Decision Sciences39(2): 273–315.
79.
WeinerB.LewisM.LinnanL. (2009). Using organization theory to understand the determinants of effective implementation of worksite health promotion programs. Health Education Research24(2): 292–305.
80.
WenrichK.AhmadN. (2009). Lessons learned during a decade of ERP experience: A case study. International Journal of Enterprise Information Systems5(1): 55–73.
WillardR.ShahG.H.LeepC.KuL. (2012). Impact of the 2008–2010 economic recession on local health departments. Journal of Public Health Management and Practice18(2): 106–114.
83.
WoldH. (1985). Partial Least Squares. In: KotzS.JohnsonN.L. (Eds.), Encyclopedia of Statistical Sciences (Vol. 6). New York, Wiley: 581–591.
84.
YoungbergE.OlsenD.HauserK. (2009). Determinants of professionally autonomous end user acceptance in an enterprise resource planning system environment. International Journal of Information Management29: 38–44.
85.
YusufY.GunasekaranA.WuaC. (2006). Implementation of enterprise resource planning in China. Technovation26: 1324–1336.
