Analysis of Business Process Management (BPM) Effect towards Data and Information Quality Improvement at Higher Education: A Literature Study

Risa Perdana Sujanawati, Mahendrawathi ER, Radityo Prasetianto Wibowo

Abstract


Business Process Management (BPM) is a collection of methods, techniques, and tools to optimize organizational performance. In the case of higher education institutions (HEIs), BPM is usually implemented to provide a standard business process. Implementation of Data Governance (DG) is often based on the desire for good Data Quality (DQ), to help an organization carry out its strategies and achieve its objectives. Previous research has proven that DG would improve data quality and safety and trigger a better standard. While data and information are essentially connected, BPM and DG have been addressed separately in the process of obtaining high quality data and information. This study conducts a literature review to investigate the relationship of BPM in the development of DG in HEIs. Articles related to BPM, DG, and DQ are collected from relevant databases. The articles are filtered and perused further to obtain 23 articles that are analyzed and synthesized to answer the research question. Based on these articles, a conceptual model is developed, depicting relationship in the application of BPM and DG. The first relationship identified from previous work is that the successful implementation of BPM influences DG planning and implementation success. Second, a good BPM implementation influences the process of obtaining a good DQ. Finally, implementing a good DG influences the acquirement of a good DQ. This study also found that BPM, DG, and DQ implementation at HEIs was fewer than that at other sectors or case studies, which open up opportunities for further studies.

Keywords


Business Process Management; Higher Education; Data Quality; Data Governance

Full Text:

Full Text

References


Dumas M, Rosa M, Mendling JL, Reijers HA. Fundamental of Business Process Management. Second ed. ed. s.l.: Springer; 2013.

Maican C, Lixandroiu R. A system architecture based on open source enterprise content management systems for supporting educational institutions. International Journal of Information Management 2016;36(2):207–214.

Ilahi L, Martinho R, Ghannouchi SA. BPFlextemplate: a software tool to derive flexible process model templates. Procedia Computer Science 2017;121:1096–1103.

Cio Watercooler VERITAS. Data Governance Survey 2017. CIO Water Cooler; 2017.

Wang CS, Lin SL, Chouc TH, Lib BY. An integrated data analytics process to optimize data governance of nonprofit organization. Computers in Human Behavior 2018;.

Cheong LK, Chang V. The Need for Data Governance: A Case Study. In: ACIS Proceeding AISe; 2007. p. 999–1008.

Weber K, Otto B, Osterle H. Ones size does not fit all -A contingency approach to data governance. Journal of Data and Information Quality 2009;1(1):1–27.

Dragan M, Ivana D, Arba R. Business process modeling in higher education institutions. developing a framework for total quality management at institutional level. Procedia Economics and Finance 2014;16:95–103.

Almubarak AA, Omar SM. Computer-Aided Systematic Business Process Management: Case Study of PG Program. In: 14th International Computer Engineering Conference (ICENCO) IEEE; 2018. p. 36–41.

Sneade A. Using Accelerometer Equipped GPS Devices in Place of Paper Travel Diaries to Reduce Respondent Burden in a National Travel Survey. In: Transport Survey Methods: Best Practice for Decision Making Bingley: Emerald Group Publishing Limited; 2013.p. 155–180.

Ha LS, Zhang C. Are computers better than smartphones for web survey responses? Online Information Review 2019;43(3):350–368.

Institute TDG, Institute TDG, editor, The Data Governance Institute (DGI). The Data Governance Institute; 2014.

Saputra DA, Handika D, Ruldeviyani Y. Data Governance Maturity Model (DGM2) Assessment in Organization Transformation of Digital Telecommunication Company: Case Study of PT Telekomunikasi Indonesia. In: International Conference on Advanced Computer Science and Information Systems (ICACSIS) Yogyakarta: IEEE; 2018. p. 325–330.

Alsabieh M, Alqahtani M, Altamimi A, Albasha A, Alsulaiman A, Alkhamshi A, et al. Fast food consumption and its associations with heart rate, blood pressure, cognitive function and quality of life. Pilot study. Interactive Technology and Smart Education 2019;5(5):e01566.

Guo M, Wang Y, Liu J, Huang Z, Li X. Biosafety and data quality considerations for animal experiments with highly infectious agents at ABSL-3 facilities. Journal of Biosafety and Biosecurity 2019;1(1):50–55.

Schilling KG, Yeh FC, Nath V, Hansen C, Williams O, Resnick S, et al. A fiber coherence index for quality control of B-table orientation in diffusion MRI scans. Magnetic Resonance Imaging 2019;58:82–89.

Shearman A, Zendulkova D. Use of national and international databases for evaluation of international project award potential of slovak research organisations. Procedia Computer Science 2019;146(2018):102–111.

Van Rensburg NJ, Telukdarie A, Dhamija P. Society 4.0 applied in africa: advancing the social impact of technology. Technology in Society 2019;59:101125.

Núñez Reiz A. ‘Big data and machine learning in critical care: Opportunities for collaborative research’. In: Medicina Intensiva (English Edition) 43(1); 2019. p. 52–57.

Ilahi L, Martinho R, Ghannouchi SA, Domingos D, Rijo R. Towards a Business Process Management Governance Approach Using Process Model Templates and Flexibility. In: 2016 IEEE World Congress on Services (SERVICES) IEEE; 2016. p. 27–34.

Claes J, Vanderfeesten I, Gailly F, Grefen P, Poels G. The structured process modeling method (SPMM) what is the best way for me to construct a process model? Decision Support Systems 2017;100:57–76.

Enriquez F, Troyano JA, Romero-Moreno LM. Using a business process management system to model dynamic teaching methods. Journal of Strategic Information Systems 2019;28(3):275–291.

Svensson C, Hvolby HH. Establishing a business process reference model for universities. Procedia Technology 2012;5:635–642.

Cojocaru LE, Nedelcu RA, Burlacu G, Stanescu AM. Towards an Integrated Approach for Enterprise System Redesign in Manufacturing. In: Proceedings of the 14th IFAC Symposium on Information Control Problems in Manufacturing, vol. 14 Bucharest, Romania: IFAC; 2012. p. 1296–1300. https://dx.doi.org/10.3182/20120523-3-RO-2023.00402.

Nikolova-Alexieva V. Process maturity analysis of the bulgarian enterprises. Procedia - Social and Behavioral Sciences 2013;92:632–636.

Fillies C, Wood-Albrecht G, Weichardt F. Pragmatic application of the semantic web using sem talk. Computer Networks 2003;42(5):599–615.

Sladic G, Milosavljevic B, Surla D, Konjovic Z. Flexible access control framework for MARC records. Electronic Library 2012;30(5):623–652.

Leng CB, Ali KM, Hoo CE. Open access repositories on open educational resources. Asian Association of Open Universities Journal 2016;11(1):35–49.

Campbell J. Inquiry-based learning case studies for computing and computing forensic students. Interactive Technology and Smart Education 2012;9(1):4–15.

AlQuraan M. The effect of insufficient effort responding on the validity of student evaluation of teaching. Journal of Applied Research in Higher Education 2019;11(3):604–615.

Ramsden C, Smardon RC, Michel G. Municipal collaboration for carbon footprinting: syracuse, New York case study. Sustainability Accounting, Management and Policy Journal 2014;5(2):224–254.

Seethamraju R. Business process management: a missing link in business education. Business Process Management Journal 2012;18(3):532–547.

Lagos N, Mos A, Cortes-cornax M. Towards semantically-aided domain specific business process modeling. Data Technologies and Applications 2018;52(4):463–481.

Saragiotis P. Business process management in the port sector: a literature review. Maritime Business Review 2019;4(1):49– 70.

Debenham J. An Agent for Web-Based Process Management. In: Proceedings of the IProceedings. Eighth Annual IEEE International Conference and Workshop On the Engineering of Computer-Based Systems Washington, DC, USA: IEEE; 2001. p. 62–67.

Chakabuda TC, Seymour LF, Van Der Merwe FI. Uncovering the Competency Gap of Students Employed in Business Process Analyst Roles – An Employer Perspective. In: IST-Africa 2014 Conference Proceedings IEEE; 2014. p. 1–9.

Hronza R, Speta M. Business Process Center of Excellence at the Faculty of Electrical Engineering at the Czech Technical Higher education in Prague. In: 15th Conference on Business Informatics Vienna, Austria: IEEE; 2013. p. 346 – 349.

Karabegovic A, Buza E, Omanovic S, Kahrovic A. Adoption of BPM Systems for Process Design in a Higher Education Institution. In: 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO IEEE; 2018. p. 552–557.

Pinggera J, Zugal S, Weber B. Alaska Simulator – Supporting Empirical Evaluation of Process Flexibility. In: 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises Innsbruck, Austria: IEEE; 2009. p. 231–233.

Santorum M. A Serious Game based Method for Business Process Management. In: Fifth International Conference on Research Challenges in Information Science IEEE; 2011. p. 1–12.

Lang M. Computer-Aided Systematic Business Process Management: Case Study of PG Program. In: Volume International Symposium on Collaborative Technologies and Systems IEEE; 2009. p. xxxvii – xxxviii.

Liam S. Data, Data Science and the Research Higher Education. In: 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) Kumamoto, Japan: IEEE; 2016. p. 529 –532.

Cannavacciuolo L, Illario M, Ippolito A, Ponsiglione C. An activity-based costing approach for detecting inefficiencies of healthcare processes. Business Process Management Journal 2015;21(1):55–79.

Wang CS, Lin SL, Chou TH, Li BY. An integrated data analytics process to optimize data governance of non-profit organization. Computers in Human Behavior 2019;101:495–505.

Riggins FJ, Klamm BK. Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data. Journal of Accounting Education 2017;38:23–36.




DOI: http://dx.doi.org/10.12962/j20882033.v31i3.6260

Refbacks

  • There are currently no refbacks.


Creative Commons License

IPTEK Journal of Science and Technology by Lembaga Penelitian dan Pengabdian kepada Masyarakat, ITS is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://iptek.its.ac.id/index.php/jts.