International Journal of Economics, Finance and Management Sciences

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The Use of ICT Technologies Enhances Employees’ Performance in the Greek Hotel Industry

Received: 16 December 2014    Accepted: 29 January 2015    Published: 06 February 2015
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Abstract

A large number of studies have been produced lately aiming to understand and explain the factors influencing the acceptance of IT by the employees of the hotel industry and create model examples, mainly based on TAM (Technology Acceptance Model) (Davis), TTF (Technology Acceptance Model) (Goodhue and Thomson) and their expansions and variations. The research effectuated mainly used empirical data from the United States, North and West Europe as well as East Asia, while a relative lack in papers is observed with regard to data coming from other touristic zones, like the Mediterranean, which, according to the EU is visited by nearly 30% Sata A. (2004) of the world tourism annually. The present paper intends to make up for that relevant insufficiency, being based on data coming from the touristic zone of Greece. Furthermore the purpose of this paper is to investigate the potential of Perceived Information Technology Beliefs, in combination with the employees’ particular personal and individual characteristics, which are included in the Personal Characteristics and Subjective Norms factors, through a TAM, to affect Behavioural Intention (BI) to accept and use the Information Technologies (IT). Our findings, with the exception of the (non-significance) of Self-Efficacy, suggest that, in the Greek Tourism Sector, the harmonization of Personal Characteristics together with the other driving factors positively contributes, through a TAM, to the enhancement of Behavioural Intention; consequently, one of the first policy measures in the Sector should be the expansion of staff training in Information Technologies.

DOI 10.11648/j.ijefm.20150301.16
Published in International Journal of Economics, Finance and Management Sciences (Volume 3, Issue 1, February 2015)
Page(s) 43-56
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

TRA, TAM, Hotels, IT Adoption, Employees, CFA

References
[1] Prof. Alberta Bandura, Nancy E. Adams., Arthur B. Hardy, Howells N. Gary, Tests of the Generality of Self- Efficacy Theory, Cognitive Therapy and Research, 03-1980 4:1 pp.39-66. doi: 10.1007/BF01173354
[2] Prof. Alberta Bandura, Self-Efficacy Mechanism in Human Agency, American Psychologist, 02 -1982 37:2 pp. 122-147. doi: org/10.1037/0003-066X.37.2.122
[3] Prof. Alberta Bandura, Self-Efficacy Determinants of Anticipated Fears and Calamities, Journal of Personality and Social Psychology, 08-1983 45:2, pp. 464-469. doi.org/10.1037/0022-3514.45.2.464
[4] Anol Bhattacherjee, Understanding Information Systems Continuance: An Expectation – Confirmation Model, MIS Quarterly, 09-2001 25:3, pp.351-370.
[5] Anol Bhattacherjee, G. Premkumar, Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test, MIS Quarterly, 06-2004 28:2, pp. 229-254.
[6] Alexander D. Stajkovic, Fred Z. Luthans, Self-Efficacy and a Word Related Performance: A Meta-Analysis, Psychological Bulletin, 01-1998 124:2, pp. 240-261.
[7] Alexandros Paraskevas, Prof. Dimitrios Buhalis, Outsourcing IT for small hotels: the opportunities and challenges of using application service providers. Cornel Hotel and Restaurant Administration Quarterly, 04-2002 pp. 27-39. doi:10.1016/S0010-8804(02)80029-5
[8] Barbara H. Wixom, Peter A. Todd, A Theoretical Integration of User Satisfaction and Technology Acceptance, Information Systems Research, 03-2005 16:1, pp. 85-102 doi 10.1287/isre.1050.0042
[9] Prof. Bille Bai, Prof. Rob Law, Prof. Ivan Wen. The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors, International Journal of Hospitality Management, 2008, 27, pp. 391–402. doi: 10.1016/j.ijhm.2007.10.008
[10] Buttle Francis, Bok Bungkwon, Hotel Marketing Strategy and the theory of reasoned action, International Journal of Contemporary Hospitality, 1996 8:3 pp. 5-10 doi.org/10.1108/09596119610115943
[11] Prof. Cathy A. Enz, Prof. Judy A. Siguaw, Best Practices in Human Resources, Cornell Hotel and Restaurant Administration Quarterly, 2000 41: 1 February 2000, pp 48-61 doi: 10.1177/001088040004100123
[12] Prof. Cathy A. Enz, What Keeps You Up at Night? Key Issues of Concern for Lodging Managers, Cornell Hotel and Restaurant Administration Quarterly, April 2001 42:38, pp 38-45. doi:10.1016/S0010-8804(01)80037-9
[13] Prof. Dale L. Goodhue, Prof. Barbara D. Klein, Prof. Salvatore T. March, User evaluations of IS as surrogates for objective performance, Information & Management, 2000 38, pp.87-101. doi:10.1016/S0378-7206(00)00057-4
[14] Prof. Dale L. Goodhue, Prof. Ronald L. Thompson, Task-Technology Fit and Individual Performance, MIS Quarterly, June 1995, pp.213-236.
[15] Daryl Ansel, Chris Dyer, A Framework for Restaurant Information Technology, Cornell Hotel and Restaurant Administration Quarterly, 40:3 06-1999, pp.74-84 doi:10.1016/S0010-8804(99)80040-8
[16] Prof. David Corsun, Prof. Cathy Enz, Predicting Psychological Empowerment among Service Workers: The Effect of Support-Based Relationships, Human Relations, 1999 52:2, pp. 205-224. doi: 10.1177/001872679905200202
[17] Prof. David Gefen, Prof. Detmar Straub, Prof. Marie-Claude Boudreau, Structural Equation Modeling and Regression: Guidelines for Research Practice, Communication of the Association for Information Systems, August 2000, 4, pp. 2-79.
[18] Prof. Dennis A. Adams, Prof. Ryan R. Nelson, Prof. Peter A Todd, Perceived Usefulness, Ease of Use, and Usage OF Information Technology: A Replication, MIS Quarterly, 6-1992, 15:2, pp. 227- 250.
[19] Prof. Dimitris Buhalis, Prof. Hilary Main, Information technology in peripheral small and medium hospitality enterprises: strategic analysis and critical factors, International Journal of Contemporary Hospitality Management, 1998 10:5, pp. 198-202. doi.org/10.1108/09596119810227811
[20] Prof. Dimitris Buhalis, Ourania Deimezi, Information Technology Penetration and e-commerce developments in Greece with a focus on small to medium-sized enterprises, Electronic markets, 2003 13:4, doi: 10.1080/1019678032000135563
[21] Prof. Dimitris Buhalis, Rob Law, Progress in information technology and tourism management : 20 on and 10 after the internet - the state of e-tourism research, Tourism management, 2008, 29, pp.609 – 623 doi : 10.1016/j.tourman.2008.01.005
[22] Prof. Dimitris Buhalis, Daniel Leung, Rob Law, eTourism: Critical Information and Communication Technologies for Tourism Destinations, Destination Marketing and Management, 2011 pp. 205 - 224
[23] Prof. Dimitris Buhalis, Konstantina Kaldis, eEnabled Internet Distribution for Small and Medium Sized Hotels: The Case of Hospitality SMEs in Athens, Tourism Recreation Research, 2008 33:1
[24] Prof. Echo Huang, Meng H. Chuang, Extending the theory of planned behaviour as a model to explain post-merger employee behaviour of IS use, Computers in Human Behaviour, 2007 23, pp. 240- 257. doi:10.1016/j.chb.2004.10.010
[25] Prof. Elena Karahanna, Prof. Detmar W. Straub, The psychological origins of perceived usefulness and ease-of-use, Information & Management, 1999 35, pp.237-250. doi:10.1016/S0378-7206(98)00096-2
[26] Prof. Elena Karahanna, Prof. Detmar W. Straub, Norman Chervany, Information Technology Adoption Across Time: Α Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs, MIS Quarterly, June 1999, pp.183-213.
[27] Elizabeth J. Davidson, Technology Frames and Framing: A Socio-cognitive Investigation of Requirements Determination, MIS Quarterly, 12-2002 26:4, pp.329-358.
[28] Everett M. Rogers, Diffusion of Innovations, 3th edition, Macmillan, New York, 1983
[29] Prof. Fred D. Davis, Perceived Usefulness, Ease of Use, and User Acceptance of Information technology, MIS Quarterly, September 1989, 13:3, pp. 319-340.
[30] Prof. Fred D. Davis, Richard P. Bagozzi, Paul R. Washaw, User Acceptance of Computer Technology: A Comparison of two Theoretical Models, Management Science, August 1989 35:8, pp. 982-1003. doi.org/10.1287/mnsc.35.8.982
[31] Prof. Fred D. Davis, User acceptance of information technology; system characteristics, user and behavioral impacts, International Journal of Man-Machine Studies, 1993 38, pp. 475-487. doi:10.1006/imms.1993.1022
[32] Prof. Fred D. Davis, Viswanath Venkatesh, Measuring User Acceptance of Emerging Information Technologies: An Assessment of Possible Method Biases, Proceedings of the 28th Annual Hawaii International Conference on System Sciences, IEEE, 1995 pp.729-736. doi: 10.1109/HICSS.1995.375675
[33] Prof. Fred D. Davis, Viswanath Venkatesh, A critical assessment of potential measurement biases in the technology acceptance model: three experiments, International Journal of Human – Computer Studies, 1996 45, pp.19-45. doi:10.1006/ijhc.1996.0040
[34] G. Maxwell, M. McDougall and S. Blair, Managing Diversity in the hotel sector; The Emergence of a service quality opportunity, Managing Service Quality, 11 01-2000, pp. 367-373. doi:10.1108/09604520010351176
[35] Gary C. Moore and Izak Benbasat, Development of an Instrument to Measure the Perceptions of Adopting An Information Technology Innovation, Information Systems Research, 1991 2:3 , pp.192-22.
[36] George M. Marakas, Mun Y. Yi and Richard D. Johnson, The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research, Information Systems Research, 06 1998 9:2, pp.126-163. doi: 10.1287/isre.9.2.126
[37] Guy Pare and Joyce Elam, Discretionary use of personal computers by knowledge testing of a social psychology theoretical model, Behavior & Information Technology, 1995 14:4, pp. 214-228. doi: 10.1080/01449299508914635
[38] Hae Y. Lee, Woo G. Kim, Yong-Ki Lee, Testing the determinants of Computerized Reservation System User’s Intention to Use via a Structural Equation Model, Journal of Hospitality & Tourism Research, 2006 30: 2, 246-266. doi: 10.1177/1096348005285087
[39] Hayashi Albert, Prof. Chen Charlie, Prof. Ryan Terry, Prof. Wu Jiinpo, The Role of Social Presence and Moderating Role of Computer Self Efficacy in Predicting the Continuance Usage of E-Learning Systems, Journal of Information Systems Education, 2001 15:2, pp.139-155.
[40] Prof. Hee-dong Yang, Prof. Youngjin Yoo, It’s all about attitude: revisiting the technology acceptance Model, Decision Support Systems, 2004 38, pp.19-31, doi:10.1016/S0167-9236(03)00062-9
[41] Heesup Han, Li-Tzang Hsu, Jin-Soo Lee, Empirical investigation of the roles of attitudes toward green behaviours, overall image, gender, and age in hotel customers’ eco-friendly decision-making process, International journal of Hospitality Management, 2009 28, pp. 519- 528. doi:10.1016/j.ijhm.2009.02.004
[42] Hilary Main, Information technology and the independent hotel-failing to make the Connection, International Journal of Contemporary Hospitality Management, 1995 7:6, pp.30-32. doi:10.1108/09596119510095370
[43] Howard J. Klein., Raymond A. Noe, Chongwei Wang, Motivation to learn and course outcomes: The impact of delivery mode, learning goal, orientation, and perceived barriers and enablers, Personnel Psychology, 2006 59, pp.665-702. doi: 10.1111/j.1744-6570.2006.00050.x
[44] Hyang J. Huh, Taegoo Kim, Rob Law, A comparison of competing theoretical models for Understanding acceptance behaviour of information systems in upscale hotels, International Journal of Hospitality Management, 2009 28, pp. 121-134. doi:10.1016/j.ijhm.2008.06.004
[45] Hu P. Hwa-Jen Paul, Clark H. K. Theodore, Ma B. Will, Examining Technology Acceptance, Information & Management, 2003 41 pp. 227-241. doi:10.1016/S0378-7206(03)00050-8
[46] Ian Buick, Information technology in small Scottish hotels: is it working?, International Journal of Contemporary Hospitality Management, 2003 15:4 pp. 243-247. doi:10.1108/09596110310475711
[47] Prof. Icek Ajzen, The Theory of Planned Behavior, Organizational, Behavior and Human Decision Processes, 50, 1991 pp.179-211. doi:10.1016/0749-5978(91)90020-T
[48] Prof. Icek Ajzen, Thomas J. Madden, Prediction of Goal-Directed Behavior: Attitudes, Intentions and Perceived Behavioral Control, Journal of Experimental Social Psychology, August 5-1986, 22:2, pp. 453-474. doi:10.1016/0022-1031(86)90045-4
[49] Prof. Jay A. Conger, Prof. Rabindra N. Kanungo, The Empowerment Process: Integrating Theory and Practice, Academy of Management Review, 06 071988 13:3 pp. 471- 482 doi:10.5465/AMR.1988.4306983
[50] Jennifer Xiaoqiu Ma, Prof. Dimitrios Buhalis, Prof. Haiyan Song, ICTs and Internet adoption in China’s tourism industry, International Journal of Information Management 12-2003 23:6 451–467, doi:10.1016/j.ijinfomgt.2003.09.002
[51] Prof. Jeff Jiang, Prof. Mark E Havitz, Prof. Robert M. O'Brien, Validating the International Role Scale, Annals of Tourism Research, 2000 27: 4, pp. 904-981. doi:10.1016/S0160-7383(99)00111-5
[52] Ji-Won Moon and Young-Gul Kim Extending the TAM for a World-Wide-Web context, Information & Management, 2001 38, pp. 217-230. doi:10.1016/S0378-7206(00)00061-6
[53] John Bowen, A market driven approach to business development and service improvement in the hospitality industry, International Journal of Contemporary Hospitality, 1997, 9:7 pp. 344-345. doi.org/10.1108/09596119710191001
[54] Joost W. M. Verhoeven, Thomas J. L. van Rompay, Ad T. H. Puyn., The price facade: Symbolic and behavioural price cues in service environments, International Journal of Hospitality Management, 2009 28, pp.604-611. doi:10.1016/j.ijhm.2009.03.013
[55] Judy A. Siguaw, Cathy A. Enz, karthik Namasivayam, Adoption Information Technology in U.S. Hotels: Strategically Driven Objectives, Journal of Travel Research, 2000 39 pp.192-201. doi:10.1177/004728750003900209
[56] Karen Huchting, Andrie Lac, Joseph W. LaBrie, An application of the Theory of Planned Behavior to sorority alcohol consumption, Addictive Behaviours, 2008 33, pp. 538-551. doi:10.1016/j.addbeh.2007.11.002
[57] Kieran Mathieson, Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of planned Behavior, Information Systems Research, 1991 2:3 , pp.173-191. doi:10.1287/isre.2.3.173
[58] Prof. Magid Igbaria, End-User Computing Effectiveness: A Structural Equation Model, OMEGA; International Journal of Management Science, 1990 18:6, pp.637-652. doi:10.1016/0305-0483(90)90055-E
[59] Prof. Magid Igbaria, Juhani Livari, The Effects of Self-Efficacy on Computer Usage, OMEGA; International Journal of Management Science, 1995 23:6, pp. 587- 605. doi:10.1016/0305-0483(95)00035-6
[60] Prof. Magid Igbaria, Juhani Livari, Hazem Maragahh, User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Sciences, 1995 35:8, pp.982- 1003. doi.org/10.1287/mnsc.35.8.982
[61] Prof. Marilyn E. Gist, Prof. Terence R. Mitchell, Self-Efficacy: A Theoretical Analysis of Its Determinants and Malleability, Academy of Management Review, 04 1992 17:2 pp.183- 211. doi:10.5465/AMR.1992.4279530
[62] Mark Conner, Sara F.L Kirk., Janet E. Cade, Jennifer H. Barrett, Why do women use dietary supplements? The use of the theory of planned behaviour to explore beliefs about their use, Social Science and Medicine, 2001 52, pp.621-633. doi:10.1016/S0277-9536(00)00165-9
[63] Mark T. Dishaw, Prof. Diane M. Strong, Extending the technology acceptance model with task-technology fit constructs, Information & Management, 1999 36, pp. 9-21. doi:10.1016/S0378-7206(98)00101-3
[64] Martin Fishbein, Prof. Icek Ajzen, Bilief, Attitude, intention and behaviour: an introduction to theory and research, Reading, MA : Addition Wesley, 1975
[65] Michelle L. Heine, Varun Grover, Manoj K. Malhotra, The relationship between technology and performance: a meta-analysis of technology models, International Journal of Management Sciences, 01 29-2003 pp.189-204. doi:10.1016/S0305-0483(03)00026-4
[66] Michael G. Morris amd Jason M. Turner, Assessing users' subjective quality of experience with the world wide web: an exploratory examination of temporal changes in technology acceptance, International Journal of Human-Computer Studies, 2001 54 , pp.877-901. doi:10.1006/ijhc.2001.0460
[67] Prof. Mun Y. Yi, Joyce D. Jackson, Prof. Jae S. Park, Prof. Janice C. Probst, Understanding Information Technology acceptance by individual professionals: Toward an integrative view, Information & Management, 2006 43, pp. 350-363. doi:10.1016/j.im.2005.08.006
[68] Prof. Murugan Anandarajan, Magid Igbaria, Prof. Uzoamaka P. Anakwe, IT acceptance in a less-developed country: a motivational factor perspective, International Journal of Information Management, 2002, 22 pp. 47-65. doi:10.1016/S0268-4012(01)00040-8
[69] Prof. Nabil N. Kamel, Prof. Robert M. Davison, Applying CSCW technology to overcome traditional barriers in group interactions, Information & Management, 1998 34, pp. 209-219. doi:10.1016/S0378-7206(98)00056-1
[70] Neil C. Ramiller, Perceived compatibility of Information Technology innovation among Secondary adopters: Toward a reassessment, Journal of Engineering and Technology Management, 1994 11, pp. 1-23. doi:10.1016/0923-4748(94)90022-1
[71] Nunnally J. C. (1978), “Nunnally on Reliability”, http://core.ecu.edu/psyc/wuenschk/ stathelp/Reliab-Nunnally.doc
[72] Prof. Patrick Y. K. Chau, An empirical investigation on factors affecting the acceptance of CASE by systems developers, Information & Management, 1996 30 pp. 269-280. doi:10.1016/S0378-7206(96)01074-9
[73] Prof. Patrick Y. K. Chau, Prof. Paul J.H. Hu, Information Technology Acceptance by Individual Professionals: A Model Comparison Approach, Decision Sciences, Fall 2001 32:4, pp.699-719. doi: 10.1111/j.1540-5915.2001.tb00978.x
[74] Prof. Patrick Y. K. Chau, Prof. Paul J.H. Hu, Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories, Information & management, 2002 39, pp.297-311. doi:10.1016/S0378-7206(01)00098-2
[75] Prof. Patrick Y. K. Chau, Prof. Paul J.H. Hu, Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study, Journal of Management Information Systems, spring 2002 b 18:4, pp. 191-229.
[76] Prof. Paul J. Hu, Prof. Patric Y.K. Chau, Prof. Olivia L.R. Sheng, Prof. Kam Tam, Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology, Journal of Management Information Systems, Fall 1999 16:2, pp. 91-112.
[77] Prof. Paul J.H. Hu, Prof. Theodore H.K. Clark, Will W. Ma, Examining technology acceptance by school teachers: a longitudinal study, Information & Management, 2003 41, pp. 227-241. doi:10.1016/S0378-7206(03)00050-8
[78] Paul Pavlou and Chai Lin, What drives electronic commerce across cultures? A cross-cultural empirical investigation of the theory of planned behavior, Journal of Electronic Commerce Research, 2002 3:4 , pp. 240-253.
[79] Paul Pavlou and Mendel Fygenson, Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior, MIS Quarterly, 2006 3:1 , pp. 115-143.
[80] Petre E. D. Love, Zahir Irani, Craig Standing, Chad Lin, Janice M. Burn, The enigma of evaluation: benefits, costs and risks of IT in Australian small-medium-sized enterprises, Information & Management, 01-2005 42 pp. 947-964. doi:10.1016/j.im.2004.10.004
[81] Peter Roberts and Ron Henderson, Information Technology acceptance in a sample of Government employees: a test of the technology acceptance model, Interacting with Computers, 2000 12, pp.427-443, doi:10.1016/S0953-5438(98)00068-X
[82] Prodromos D Chatzoglou, Lazaros Sarigiannidis, Eftichia Vraimaki, Anastasios Diamantidis, Investigating Greek employees' intention to use web-based training, Computers & Education, 2009 53 pp. 877-889. doi:10.1016/j.compedu.2009.05.007
[83] Prof. Ritu Agarwal, Prof. Jayesh Prasad, The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies, Decision Sciences, summer 1997, 28 : 3, pp. 557-582. doi: 10.1111/j.1540-5915.1997.tb01322.x
[84] Prof. Ritu Agarwal, Prof. Jayesh Prasad, Are Individual Differences Germane to the Acceptance of New Information Technologies?, Decision Sciences, spring-1999, 30 : 2, pp. 361-391. doi: 10.1111/j.1540-5915.1999.tb01614.x
[85] Prof. Ritu Agarwal, Prof. Elena Karahanna, Time flies when you’re having fun: Cognitive Absorption and Beliefs about Information Technology Usage, MIS Quarterly, 2000, 24:4 pp. 665-694.
[86] Prof. Ritu Agarwal, Prof. V Sambamurthy., Prof. Ralf M. Stair, Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy-An Empirical Assessment, Information Systems Research, 11:4, December 2000, pp. 418- 430. doi.org/10.1287/isre.11.4.418.11876
[87] Prof. Richard P Bagozzi., Prof. Youjay Yi, On the Evaluation of Structural Equation Models, Journal of the Academy of Marketig Sciences, spring 1988, 16:1, pp. 74-94. doi: 10.1007/BF02723327
[88] Prof. Rita Kukafka, Prof. Stephen B. Johnson, Allison Linfante, John P. Allegrante, Grounding a new information technology implementation framework in behavioral science: a systematic analysis on the literature on IT use, Journal of Biomedical Informatics, 06-2003 36:30, pp. 218-227. doi:10.1016/j.jbi.2003.09.002
[89] Rob Law, Rosanna Leung, Dimitrios Buhalis, Information Technology Applications in Hospitality and Tourism: A Review of Publications from 2005 to 2007, Journal of Travel & Tourism Marketing, 2009 26 599–623, doi: 10.1080/10548400903163160
[90] Ron Henderson and Megan Divett, Perceived usefulness, ease of use and electronic supermarket use, International Journal of Human Computer Studies, 2003 59:3, pp. 383-395. doi:10.1016/S1071-5819(03)00079-X
[91] Prof. Ronald L. Thomson, Prof. Christopher A. Higgins, Prof. Jane M. Howell, Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model, Journal of Management Information Systems, 06-1994 11:1, pp. 167-187
[92] Saade Raafat and Bouchaib Bahli, The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model, Information & Managemet, 2005 42, pp. 317-327 doi:10.1016/j.im.2003.12.013
[93] Prof. Sandra Watson, Conceptual model for analysing management development in the hospitality industry: A UK perspective, International Journal of Hospitality Management, 2008 27:3, pp. 414-425. doi:10.1016/j.ijhm.2008.01.002
[94] Satta Alessio, Tourism in the Mediterranean: Processes and Impacts on Coastal Environment, 2004 http://www.academia.edu/643353/, pp.14.
[95] Sharon Kemp, Dr. Larry Dwyer, An examination of organizational culture-the Regent Hotel Sydney, International Journal of Hospitality Management, 2001 20, pp.77-93. doi:10.1016/S0278-4319(00)00045-1
[96] Prof. Shin Y. Hung, Chia M. Chang, User acceptance OG WAP services: test of competing theories, Computer Standards & Interfaces, 2005 27, pp.359-370. doi:10.1016/j.csi.2004.10.004
[97] Prof. Shirley Taylor, Prof. Peter Todd, Assessing IT Usage: The Role of Prior Experience, MIS Quarterly, 12 -1995 19:4, pp. 561-570. doi: 10.2307/249633
[98] Sun Heshan and Ping Zhang, The role of moderating factors in user technology acceptance, International journal of Human-Computer Studies, 2006 64:2, pp. 53-78. doi:10.1016/j.ijhcs.2005.04.013
[99] Sunny Ham, Woody G. Kim, Hazel W. Forthsythe, Restaurant Employees’ Technology Use Intention: Validating Technology Acceptance Model with External Factors, Journal of Hospitality Marketing &Management, 2008 17:1, pp. 78-98. doi:10.1080/10507050801978422
[100] Prof. Tor Guimaraes, Prof. Yougohc Yoon, Aaron Clevenson, Factors important to expert systems success A field test, Information & Management 1996 30, pp.119-130. doi:10.1016/0378-7206(95)00042-9
[101] Terry Lam, Vincent Cho, Hailin Qu, A study of Hotel Employee Behavioural Intentions Towards Adoption of Information Technology, Hospitality Management, 2007 26, pp.49-65. doi:10.1016/j.ijhm.2005.09.002
[102] Tung Ching Lin and Chien-Chih Huang, Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit, Information & Management, 2008 45, pp. 410-417. doi:10.1016/j.im.2008.06.004
[103] Thomas Zwick, Employee resistance against innovations, International Journal of Manpower, 2002 23:6, pp. 542-552. doi: 10.1108/0.437720210446397
[104] Valeria Minghetti, Prof. Dimitrios Buhalis, Digital Divide in Tourism, Journal of Travel Research, , 10 20-2009, pp 1-15, doi: 10.1177/0047287509346843
[105] Prof. Vincent Cho, A study of the roles of trusts and risks in information-oriented online legal services using an integrated model, Information & Management, February 14-2006, pp.502–520. doi:10.1016/j.im.2005.12.002
[106] Prof. Viswanath Venkatesh, Prof. Fred D. Davis, A Theoretical Model of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, 2000 46:2 pp.186 - 204.
[107] Prof. Viswanath Venkatesh, Prof. Michael G. Morris, Prof. Gordon B. Davis, Prof. Fred D. Davis, User acceptance of Information technology: Toward a unified view, MIS Quarterly, 09-2003 27:3, pp. 425-478.
[108] Weiyin Hong, Prof. James Y.L. Thong, Wai-.Man Wong, Prof. Kar-Yan Tam, Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics, Journal of Management Information Systems, winter 2001-2002, 18:3, pp.97-124.
[109] William Lewis, Ritu Agarwal and V. Sambamurthy, Sources of Influence on Beliefs about Information Technology Use; An Empirical Study Of Knowledge Workers, MIS Quarterly, 12-2003 27:4 , pp.657-678.
[110] Youcheng Wang, William Qualls, Towards a theoretical model of technology adoption in hospitality organizations, Hospitality Management, 2007 26, pp. 560-573. doi: 10:1016/j.ijhm.2006.03.008
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    Margarita Vogiatzi. (2015). The Use of ICT Technologies Enhances Employees’ Performance in the Greek Hotel Industry. International Journal of Economics, Finance and Management Sciences, 3(1), 43-56. https://doi.org/10.11648/j.ijefm.20150301.16

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    Margarita Vogiatzi. The Use of ICT Technologies Enhances Employees’ Performance in the Greek Hotel Industry. Int. J. Econ. Finance Manag. Sci. 2015, 3(1), 43-56. doi: 10.11648/j.ijefm.20150301.16

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  • @article{10.11648/j.ijefm.20150301.16,
      author = {Margarita Vogiatzi},
      title = {The Use of ICT Technologies Enhances Employees’ Performance in the Greek Hotel Industry},
      journal = {International Journal of Economics, Finance and Management Sciences},
      volume = {3},
      number = {1},
      pages = {43-56},
      doi = {10.11648/j.ijefm.20150301.16},
      url = {https://doi.org/10.11648/j.ijefm.20150301.16},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijefm.20150301.16},
      abstract = {A large number of studies have been produced lately aiming to understand and explain the factors influencing the acceptance of IT by the employees of the hotel industry and create model examples, mainly based on TAM (Technology Acceptance Model) (Davis), TTF (Technology Acceptance Model) (Goodhue and Thomson) and their expansions and variations. The research effectuated mainly used empirical data from the United States, North and West Europe as well as East Asia, while a relative lack in papers is observed with regard to data coming from other touristic zones, like the Mediterranean, which, according to the EU is visited by nearly 30% Sata A. (2004) of the world tourism annually. The present paper intends to make up for that relevant insufficiency, being based on data coming from the touristic zone of Greece. Furthermore the purpose of this paper is to investigate the potential of Perceived Information Technology Beliefs, in combination with the employees’ particular personal and individual characteristics, which are included in the Personal Characteristics and Subjective Norms factors, through a TAM, to affect Behavioural Intention (BI) to accept and use the Information Technologies (IT). Our findings, with the exception of the (non-significance) of Self-Efficacy, suggest that, in the Greek Tourism Sector, the harmonization of Personal Characteristics together with the other driving factors positively contributes, through a TAM, to the enhancement of Behavioural Intention; consequently, one of the first policy measures in the Sector should be the expansion of staff training in Information Technologies.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - The Use of ICT Technologies Enhances Employees’ Performance in the Greek Hotel Industry
    AU  - Margarita Vogiatzi
    Y1  - 2015/02/06
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijefm.20150301.16
    DO  - 10.11648/j.ijefm.20150301.16
    T2  - International Journal of Economics, Finance and Management Sciences
    JF  - International Journal of Economics, Finance and Management Sciences
    JO  - International Journal of Economics, Finance and Management Sciences
    SP  - 43
    EP  - 56
    PB  - Science Publishing Group
    SN  - 2326-9561
    UR  - https://doi.org/10.11648/j.ijefm.20150301.16
    AB  - A large number of studies have been produced lately aiming to understand and explain the factors influencing the acceptance of IT by the employees of the hotel industry and create model examples, mainly based on TAM (Technology Acceptance Model) (Davis), TTF (Technology Acceptance Model) (Goodhue and Thomson) and their expansions and variations. The research effectuated mainly used empirical data from the United States, North and West Europe as well as East Asia, while a relative lack in papers is observed with regard to data coming from other touristic zones, like the Mediterranean, which, according to the EU is visited by nearly 30% Sata A. (2004) of the world tourism annually. The present paper intends to make up for that relevant insufficiency, being based on data coming from the touristic zone of Greece. Furthermore the purpose of this paper is to investigate the potential of Perceived Information Technology Beliefs, in combination with the employees’ particular personal and individual characteristics, which are included in the Personal Characteristics and Subjective Norms factors, through a TAM, to affect Behavioural Intention (BI) to accept and use the Information Technologies (IT). Our findings, with the exception of the (non-significance) of Self-Efficacy, suggest that, in the Greek Tourism Sector, the harmonization of Personal Characteristics together with the other driving factors positively contributes, through a TAM, to the enhancement of Behavioural Intention; consequently, one of the first policy measures in the Sector should be the expansion of staff training in Information Technologies.
    VL  - 3
    IS  - 1
    ER  - 

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