Bellie Jane S. Cabaluna, Estela R. Dequito


This study aimed to determine the mediating effect of mobile learning system-usage of Davao City National High School senior high students between knowledge sharing and information quality. A stratified random sampling method was adopted, with 319 students as respondents. The researcher collected the data using a Google form delivered to the respondents. The results of a non-experimental quantitative mediation analysis using a validated questionnaire, mean, regression techniques, and Pearson r revealed a significant relationship between knowledge sharing, information quality, and mobile learning system usage. The findings revealed that senior high students' level of knowledge sharing was high. Likewise, the level of information quality of senior high students was high. In addition, the Level of Mobile Learning System Usage suggested that the outcome was high. Since the mediating effect causal steps approach in this study revealed a non-significant relationship between knowledge sharing and information quality, there was a complete mediation on the effect of mobile learning system usage on the relationship between knowledge sharing and information quality. As a result, mobile learning systems influence students' knowledge sharing and information quality, and vice versa.


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library and information science, knowledge sharing, information quality, mobile learning system usage, Philippines

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Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behaviour in the age of information. Science, 347(6221), 509-514

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and Human Decision Processes, 50(2), 179–211.

Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human behavior, 56,93-102.

Al Zoubi, J. & Hashem, T. (2015). Information Quality and its Impact on the Marketing Performance in Industrial Jordanian Corporations-Field Study. International Journal of business, Humanities and Technology. 5, 5.

Alenezi, H., Tarhini, A., & Sharma, S. K. (2015). Development of quantitative model to investigate the strategic relationship between information quality and e- government benefits. Transforming Government: People, Process and Policy, 9(3), 324-351doi:

Alharbi, S. & Drew, S. (2014). Mobile learning system – usage: Scale development and empirical tests, integrated framework to measure students’ behavioural intentions. International Journal of Advanced Research in Artifical Intelligence, 3, 11.

Almaiah, M. A., & Alismaiel, O. A. (2019). Examination of factors influencing the use of mobile learning system: An empirical study. Education and Information Technologies, 24(1), 885-909.

Almaiah, M. A., & Man, M. (2016). Empirical investigation to explore factors that achieve high quality of mobile learning system based on students’ perspectives. Engineering science and technology, an international journal, 19(3), 1314-1320.

Angel, H. (2011). Identifying and prioritizing information quality dimensions for assurance in the pre-processing stage of data storage for business intelligence. Capstone Report: University of Oregon.

Atta, M. (2017). The Effect of Usability and Information Quality on Decision Support Information System (DSS). Arts and Social Science Journal. DOI: 10.4172/2151-6200.1000257.

Ayala, B. R. (2018). A grounded theory of information quality for web archives. Unpublished Dissertation: University of North Texas.

Ayoub, M. A. (2014). The Contribution of Information Technology Infrastructure in the

Information Systems Success in E-government Agencies. International Journal of Research in Engineering, 2(5), 54-60.

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.

Boamah, E. (2018). Information culture of Ghanaian immigrants living in New Zealand. Global Knowledge, Memory and Communication, 67(8), 585-606. doi:

Boateng, H., Agyemang, F. G., Okoe, A. F., & Mensah, T. D. (2017). Examining the relationship between trustworthiness and students’ attitudes toward knowledge sharing. Library Review.

Brouwer, J., & Jansen, E. (2019) Beyond grades: developing knowledge sharing in learning communities as a graduate attribute. Higher Education Research & Development, 38(2), 219-234. DOI: 10.1080/07294360.2018.1522619

Chaka, J. & Govender, I. (2017). Students’ perceptions and readiness towards mobile learning in colleges of education: a Nigerian perspective. South African Journal of Education, 37, (1). doi: 10.15700/saje.v37n1a1282.

Chambo, F. F., Laizer, L. S., Nkansah-Gyekye, Y., & Ndume, V. (2013). Towards the development of mobile learning model for Tanzania secondary schools: Case study Kilimanjaro region. In 2013 Pan African International Conference on Information Science, Computing and Telecommunications (PACT) (pp. 127- 130). IEEE.

Conrad, D., Dierberger, G., & Isaacson, M. (2019). The management of knowledge- sharing in college business departments: A study of the perceptions of business department faculty regarding knowledge-sharing practices. American Journal of Management, 19(1), 48-59.

Dyson, L. E., Litchfield, A., Lawrence, E., Raban, R., & Leijdekkers, P. (2009). Advancing the m-learning research agenda for active, experiential learning: Four case studies. Australasian Journal of Educational Technology, 25(2).

Erickson, D. K. (2013). How affect influences investors' effort to process financial information (Order No. 3599116.

Freitas, A., Monteiro, G. & Costa, H. (2018). Assessing the quality of information technology infrastructure services.

Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2019). IS success model in e- learning context based on students' perceptions. Journal of Information systems education, 21(2), 4.

Friesl, M., Sackmann, S. A., & Kremser, S. (2011). Knowledge sharing in new organizational entities: The impact of hierarchy, organizational context, micro‐ politics and suspicion. Cross Cultural Management: An International Journal.

Galvao, M. C. B., Ricarte, I. L. M., Grad, R. M., & Pluye, P. (2013). The clinical relevance of information index (CRII): Assessing the relevance of health information to the clinical practice. Health Information and Libraries Journal, 30(2), 110-120. doi:

Gao, J., Zhang, C., Wang, K., & Ba, S. (2014). Understanding Online Purchase Decision Making: The Effects of Unconscious Thought, Information Quality, and Information Quantity.

Ghadirian, H., Ayub, A. F. M., Silong, A. D., Bakar, K. B. A., & Zadeh, A. M. H. (2014). Knowledge sharing behaviour among students in learning environments: A review of literature. Asian Social Science, 10(4), 38.

Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. The Internet and Higher Education, 19, 18- 26.

Gonzalez-Ibanez, R., & Shah, C. (2016). Using affective signals as implicit indicators of information relevance and information processing strategies. American Society for Information Science and Technology.Meeting.Proceedings of the...ASIST Annual Meeting, 53(1), 1- 10.doi:

Gupta, A., & Dhami, A. (2015). Measuring the impact of security, trust and privacy in information sharing: A study on social networking sites. Journal of Direct, Data and Digital Marketing Practice, 17(1), 43-53. doi:

Howard, G., Lubbe, S., & Klopper, R. (2011). The impact of information quality on information research. Management, Informatics and Research Design, 288.

Hu, Y., & Sundar, S. S. (2010). Effects of online health sources on credibility and behavioral intentions. Communication Research, 37(1), 105-132.

Huang, X., & Soergel, D. (2013). Relevance: An improved framework for explicating the notion. Journal of the American Society for Information Science and Technology, 64(1), 18-35.

Irwin, D., & Mandel, D. R. (2019). Improving information evaluation for intelligence production. Intelligence & National Security, 34(4), 503-525. doi:

Jaklic, J., Coelho, P., & Popovic, A. (2009). Information quality improvement as a measure of business intelligence system benefits. WSEAS Transactions on Business and Economics, 6, 9.

Jinyang, L. (2015). Knowledge Sharing in Virtual Communities: A Social Exchange Theory Perspective. Journal of Industrial Engineering and Management, 5, 1.

Kalu, C. O., Usiedo, B. A. & Chidi-Kalu, E. I. (2019). Knowledge sharing behaviours and patterns among academic students: a case study of electrical engineering technology students of National Institute of Construction Technology(NICT), Uromi, Edo State. Library Philosophy and Practice.

Kang, M. Y., & Malmgren, R. (2017). Identifying Dimensions of Information Quality: Development of a Model to Support Information Flow in Malawi Health Information Systems.

Khosravi, A., & Ahmad, M. N. (2016). Examining antecedents of knowledge-sharing factors on research supervision: An empirical study. Education and Information Technologies, 21(4), 783-813. doi:

Kumbhar, S. S., & Pawar, R. R. (2014). Mobile based services: application and challenges. Proceed. Changing Trends Acad. Lib. Librarianship Digital Env. Shivaji University.

Krzesaj, M. (2019). Information Quality Problems on Websites. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska, (136 Modernity of Industry and Sciences), 323-337.

Kwakye, E. & Nor, K. (2011). Individual factors and knowledge sharing. American Journal of Economics and Business Administration, 66-72.

Lachica, R., Karabeg, D., & Rudan, S. (2013). Quality, relevance and importance in information retrieval with fuzzy semantic networks.

Lee, J. (2018). The Effects of Knowledge Sharing on Individual Creativity in Higher Education Institutions: Socio-Technical View. Administrative Science. doi:10.3390/admsci8020021.

Leonardi, P. (2014). Social Media, knowledge sharing, and innovation: Toward a theory of communication visibility. Information Systems Research 25(4):796- 816.

Li, C. Y. (2013). Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory. Computers in Human Behavior, 29 (1), 264-275.

Li, J., Zhang, P., Song, D., & Wu, Y. (2017). Understanding an enriched multidimensional user relevance model by analyzing query logs. Journal of the Association for Information Science and Technology, 68(12), 2743-2754.

Li, Y., & Xiao, F. (2018). Bayesian update with information quality under the framework of evidence theory. Entropy, 21(1), 5.

Li-Wei, W., & Lin, J. (2013). Knowledge sharing and knowledge effectiveness: Learning orientation and co-production in the contingency model of tacit knowledge. The Journal of Business & Industrial Marketing, 28(8), 672-686. doi:

Liou, D. L., Chih, W. H., Hsu, L. C., & Huang, C. Y. (2016). Investigating information sharing behavior: The mediating roles of the desire to share information in virtual communities. Information Systems and e-Business Management, 14, 187–216. doi: 10.1007/s10257-015-0279-2

Ma, L., Zhang, X., & Xiao, Y. D. (2018). Social media users’ share intention and subjective well-being. Online Information Review, 42(6), 784-801. doi:

Mansor, Z. D., Mustaffa, M., & Salleh, L. M. (2015). Motivation and willingness to participate in knowledge sharing activities among academics in a public university. Procedia Economics and Finance, 31(15), 286-293.

Marinagi, C., Trivellas, P., & Reklitis, P. (2015). Information quality and supply chain performance: The mediating role of information sharing. International Conference on Strategic Innovative Marketing, IC-SIM 2014, September 1-4, 2014.

Martin, F., Wang, C., & Sadaf, A. (2018). Student perception of helpfulness of facilitation strategies that enhance instructor presence, connectedness, engagement and learning in online courses. The Internet and Higher Education, 37, 52-65.

Mc Manus, P., Ragab, M., Arisha, A., & Mulhall, S. (2016). Review of factors influencing employees’ willingness to share knowledge. In Proceedings of the 18th European Conference on Knowledge Management (ECKM).

McBeath, A., & Ball, P. (2012). Towards a framework for transferring technology knowledge between facilities. Strategic Outsourcing: An International Journal, 5(3), 213-231. doi:

Mohammed, A. A., Ahmad, A., & Ahmad, A. (2020). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies.

Mubuke, F., Mayoka K., G., & Ogenmungu, C. (2016). A model to enhance students intention to adopt and use mobile learning in Ugandan Universities.

Nove, E. V. A., & Puspitasari, D. (2017). Knowledge sharing in libraries: A case study of knowledge sharing strategies in Indonesian university libraries. International Journal of Knowledge Management and Practices, 5(2), 1-6.

Oh, K. E. (2013). The process of organizing personal information (Order No.3606583).

Osman, S., Kamal, S. N. I. M., Ali, M. N., Noor, J. M. M., WahiAnuar, M. A., & Othman, R. (2015). Mechanisms of knowledge sharing among undergraduate students in UiTM Johor. Procedia Economics and Finance, 31, 903-908.

Park, C. W. (2015). Information quality as a determinant of task-technology fit in using communication technology for simple task. Issues in Information Systems, 1(16), 189-199.

Popoola, B. A., Chinomona, R., & Chinomona, E. (2014). The influence of information quality, system quality and service quality on student’s self-efficacy at institutions of higher learning in South Africa. Mediterranean Journal of Social Sciences, 5(27), 2-974.

Rahab & Wahyuni, P. (2013). Predicting Knowledge Sharing Intention Based on Theory of Reasoned Action Framework: An Empirical Study on Higher Education Institution. American International Journal of Contemporary Research, 3, 1.

Razak, N., Pangil, F., Zin, M., Azlina, N., Yunus, M., & Asnawi, N. (2016). Theories of knowledge sharing behavior in business strategy. Fifth international conference on marketing and retailing (5th Incomar) 2015.

Rodriguez, L., Moreno, P., & Toukoumidis, A. (2016). Dimensions and indicators of the information quality in digital media. Media Education Research Journal, 49, 14. doi:

Ryan, J. J. C. H., & Ryan, D. J. (2016). How secure is our information infrastructure? Journal of Information Warfare, 15(3), 24-34.

Salloum, S, Al-Emran, M. & Shaalan, K. (2018). The impact of knowledge sharing on information system: a review. Springer Nature Switzerland, 94-106.

Samadi, I., Masrek, M. N., & Yatin, S. F. B. M. (2014). The effect of individual characteristics and digital library characteristics on digital library effectiveness: A survey at University of Tehran. World Applied Sciences Journal, 30(30), 214- 220.

Saracevic, T. (2016). The Notion of Relevance in Information Science: Everybody knows what relevance is. But, what is it really?. Synthesis lectures on information concepts, retrieval, and services, 8(3), i-109.

Shaari, R., Rahman, S., & Rajab, A. (2014). Self-efficacy as a determined factor for knowledge sharing Awareness. International Journal of trade, economics and finance, 5, 1. DOI: 10.7763/IJTEF.2014.V5.337.

Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a theory of mobile learning. In Proceedings of mLearn 1(1), 1-9).

Shikano, S., Stoffel, M. F., & Tepe, M. (2017). Information accuracy in legislative oversight: Theoretical implications and experimental evidence. Rationality and Society, 29(2), 226-254. doi:

Shonola, S. A., & Joy, M. (2014). Barriers to m-learning in higher education institutions in Nigeria. In A Proceeding of International Conference of Education, Research and Innovation (ICERI2014) (pp. 3324-32).

Shorfuzzaman, M. & Alhussein, M. (2016). Modelling learners’ readiness to adopt mobile learning: a perspective from a GCC Higher Education institution. Hindawi pub. Corp.

Sihombing, S. (2011). Understanding knowledge sharing behavior: An examination of the extended model of theory of planned behavior. Journal the Winners, 12,(1), 24-39.

Smed, M., Salomo, S., Schultz, C., & Getz, K. A. (2012). Users ability to share knowledge when integrated in new product development-evidence from the pharmaceutical industry. In DRUID Academy Conference 2012.

Stupkin, V. (2011). Methods of the development of an integrated information infrastructure of library and information systems in science cities. Scientific and Technical Information Processing, 38(2), 113 118.doi:

Stvilia, B., Al-Faraj, A., & Yi, Y. (2009). Issues of cross-contextual information quality evaluation—The case of Arabic, English, and Korean Wikipedias. Library & Information Science Research, 31(4), 232-239.

Suanpang, P. (2012). The integration of m-learning and social nework for suporting knowledge sharing. Creative Education, 3, 39.

Tabor, S. W. (2016). Making mobile learning work: Student perceptions and implementation factors. Journal of Information Technology Education: Innovations in Practice, 15, 75-98.

Traxler, J. (2009). Learning in a mobile age. International Journal of Mobile and Blended Learning (IJMBL), 1(1), 1-12.

Trialih, R., Wei, H. L., & Anugrah, W. (2017). Knowledge sharing behavior and quality among workers of academic institutions in Indonesia. International Journal of Business and Society, 18(S2), 353-368.

Utulu, S., & Alonge, A. (2012). Use of mobile phones for project based learning by undergraduate students of Nigerian private universities. International Journal of Education and Development using ICT, 8(1), 4-15.

Wangpipatwong, S. (2009). Factors influencing knowledge sharing among university students. Proceedings of the 17th International Conference on Computers in Education [CDROM]. Hong Kong: Asia-Pacific Society for Computers in Education.

Wei, C. C., Choy, C. S., Chew, G. G., & Yen, Y. Y. (2012). Knowledge sharing patterns of undergraduate students. Library Review, 61(5), 327–344. doi: 10.1108/00242531211280469

Wiese, J., Kelley, P. G., Cranor, L. F., Dabbish, L., Hong, J. I., & Zimmerman, J. (2011). Are you close with me? Are you nearby? Investigating social groups, closeness, and willingness to share. In Proceedings of the 13th international conference on Ubiquitous computing (pp. 197-206).

Williams, P. W. (2009). Assessing mobile learning effectiveness and Acceptance (Doctoral dissertation, The George Washington University).

Wu, Y., & Zhu, W. (2012). An integrated theoretical model for determinants of knowledge sharing behaviours. Kybernetes.

Yang, D. & Baldwin, S. J. (2020). Using technology to support student learning in an integrated STEM learning environment. International Journal of Technology in Education and Science (IJTES), 4(1), 1-11.

Zaheer, N., & Trkman, P. (2017). An information sharing theory perspective on willingness to share information in supply chains. International Journal of Logistics Management, 28(2), 417-443. doi:

Zhang, X., & Jiang, J. Y. (2015). With whom shall I share my knowledge? A recipient perspective of knowledge sharing. Journal of Knowledge Management, 19(2), 277–295.



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