Online Collaboration Adoption Measurement Material: A Case Study in Indonesia’s ABC Telco Company

Abstract:

ABC Telco as the largest state owned telecommunication company in Indonesia with 16,097 employees had introduced online collaboration application to support company’s operational activities in the end of 2014. Olive is targeted to change the way of work of every employee to become more effective and efficient. Either of the number of employees who has registered or employees who have been actively using the application is still small, amounting to 12% of the total employees. In order to increase the adoption of Olive, finding factors that affect the behavior intention of ABC employee toward online collaboration applications (Olive) is needed. Based on Unified Theory of Acceptance and Use of Technology 2 [1], this study proposes a new modified model toward Olive. The measurement tool which consists of 8 constructs and 39 items proposed in this study is valid and reliable. Therefore, this proposed measurement material is ready to be used in further study.

• Periodical: Applied Mechanics and Materials (Volume 865)
• Pages: 713-719
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.865.713
• Online since: June 2017
• Authors: Indrawati Indrawati*, Duto Pratomo
• Keywords: Application, Indonesia, Measurement Material, Modified, On Line Collaboration, UTAUT2

References

[1] V. Venkatesh, J. Thong, X. Xu, Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and use of technology, MIS Quarterly, 36(1) (2012) 157-178.

DOI: 10.2307/41410412

[2] B. Becerik, Usage of Online Collaboration & Project Management Technology to Achieve Success and Gain Competitive Advantage in Virtual Teams: A Case Study. Proceedings of Information and Knowledge Management in a Global Economy Conference (2005).

[3] Calgary Scientific. (2012). [on line] (cited on 15 Desember 2014) from: http: /www. calgaryscientific. com/blog/bid/191265/What-does-true-online-collaboration-mean.

[4] N. Nayab Challange of Implementing Web-Based Collaboration System. (2011). [online]. (Retrieved from : http: /www. brighthub. com/office/collaboration/articles/123738. aspx.

[5] D. Kirkpatrick, S. Losee, Here Comes the Payoff from PCs New network software http: /archive. fortune. com/magazines/fortune/fortune_archive /1992/03/23/76204/index. htm.

[6] P. Kanawattanachai, Y. Yoo, Dynamic nature of trust in virtual teams, J. Strateg. Inform. Syst. 11(3-4) (2002) 187-213.

[7] A. Raut, G. Upasana, R. Bairi, G. Ramakrishnan, Effective Mentor Suggestion System for Collaborative Learning, Proceedings of the Workshop on Speech and Language Processing Tools in Education. (2012).

[8] S. Järvelä, K. Hakkarainen, L. Lipponen, E. Lehtinen, E. Creating computer supported collaborative learning in Finnish schools: Research perspectives on sociocognitive effects, J. Continuing Eng. Educ. Lifelong Learn. 10(2) (2000) 1-10.

DOI: 10.1504/ijceell.2001.000406

[9] Y. H. Lee, N. S. Chen, Group composition methods for co-operative learning in web-based instructional systems, Proceedings of the 8th International Conference on Computers in Education, 2000, pp.1538-1548.

[10] Indrawati, Behavioral Intention to Use 3G Mobile Multimedia Services in Indonesia (Doctoral Dissertation, Multimedia University, July (2012).

[11] Indrawati, D. M. Mansur, Behavioural Intention to Use @wifi. id Services in Indonesia. The 3rd International Seminar and Conference on Learning Organization (ISCLO 2015). ISBN: 978-94-6252-174-2 ISSN: 2352-5398 DOI: 10. 2991/isclo-15. 2016. 50.

DOI: 10.2991/isclo-15.2016.50

[12] Indrawati, G. A. M. M. Marhaeni, Measurement for Analysing Instant Messenger Application Adoption by Using Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), Internat. Business Manag. 9(4) (2015) 391-396.

[13] I. A. Almarashdeh, N. Sahari, N. A. M. Zin, M. Alsmadi, The success of learning management system among distance learners in Malaysian universities, J. Theoret. Appl. Inform. Technol. 21(2) (2010) 80-91.

[14] V. Venkatesh, M. G. Morris, G. B. Davis, F. D. Davis, User acceptance of information technology : toward a unified view, MIS quarterly, 27(3) (2003) 425-478.

DOI: 10.2307/30036540

[15] S. Pahnila, M. Siponen, X. Zheng, Integrating Habit into UTAUT: The Chinese eBay Case, Pacific Asia J. Assoc. Inform. Syst. 3(2) (2011) 1-3.

DOI: 10.17705/1pais.03201

[16] Indrawati, The Use of Modified Unified Theory of Acceptance and Use of Technology to Predict the Behavioural Intention toward Website (A Case Study in ABC University in Indonesia), Appl. Mech. Mater. 568-570 (2014) 1586-1592.

DOI: 10.4028/www.scientific.net/amm.568-570.1586

[17] Indrawati, K. S. Haryoto, The Use of Modified Theory of Acceptance and Use of Technology 2 to Predict Prospective Users' Intention in Adopting TV Streaming, Proceedings of the International Conference on Computing and Informatics (ICOCI), 11-13 August (2015).

[18] S. A. Brown, V. Venkatesh, Model of Adoption of Technology in Household: A Baseline Model Test and Extension Incorporating Household Life Cycle, MIS Quarterly, 29(3) (2005) 399-426.

DOI: 10.2307/25148690

[19] J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, Multivariate Data Analysis: A Global Perspective, New Jersey: Pearson Education, Inc. (2010).

[20] U. Sekaran, Research methods for Business, A Skill Building Approach, Fourth Edition, Singapore: John Wiley & Sons Inc. (2003).

[21] D. M. Levine, T. C. Krehbiel, M. L. Berenson, Business Statistics A First Course (4 ed. ), New Jersey: Pearson Prentice Hall, (2006).

[22] A. Field, Discovering Statistics Using SPSS, 3rd Edition, London: Sage, (2009).