Business Intelligence and Organizational Effectiveness in The Malaysian Newspaper Industry: Mediating Effect of Market Capitalization and Operational Agility
DOI:
https://doi.org/10.33736/ijbs.8204.2024Keywords:
Business intelligence, market capitalization agility, operational adjustment agility, organizational effectiveness, Malaysian newspaper industryAbstract
The Malaysian newspaper industry faces prospective challenges due to growing competition, technological advancements, and changing customer demand. To ensure sustainability, Malaysian companies must focus on business intelligence to overcome these challenges. Therefore, this study aims to examine the impact of business intelligence on organizational effectiveness, and the mediational role of market capitalization agility and operational adjustment agility in the relationship between business intelligence and organizational effectiveness in the context of the Malaysian newspaper industry. This study collected data from the 504 managerial-level employees working in the Malaysian newspaper industry. The outcomes showed business intelligence plays a crucial role in enhancing organizational effectiveness, as managers can enhance performance by ensuring market capitalization and operational adjustment agility. Operational adjustment and market capitalization agility ultimately enhance the organization's overall effectiveness. Further, the findings of this study provide practical implications to policymakers and suggest that policymakers should enhance managers' agility by providing comprehensive training on business intelligence systems, enhancing their knowledge of the business environment, and promoting change-responsiveness.
References
Adelman, S., & Terpeluk Moss, L. (2000). Data warehouse project management. Addison-Wesley Longman Publishing Co., Inc.
Akdere, M., & Egan, T. (2020). Transformational leadership and human resource development: Linking employee learning, job satisfaction, and organizational performance. Human Resource Development Quarterly, 31(4), 393-421.
https://doi.org/10.1002/hrdq.21404
Al-Okaily, A., Teoh, A. P., & Al-Okaily, M. (2023). Evaluation of data analytics-oriented business intelligence technology effectiveness: An enterprise-level analysis. Business Process Management Journal, 29(3), 777-800.
https://doi.org/10.1108/BPMJ-10-2022-0546
Al-Omoush, K. S., Ribeiro-Navarrete, S., Palomo, M., & Jaspe Nieto, J. (2024). Unleashing innovation and agility: interaction between intellectual capital and supply chain analytics. European Journal of Innovation Management, ahead of print.
https://doi.org/10.1108/EJIM-10-2023-0888
Arefin, M. S., Hoque, M. R., & Bao, Y. (2015). The impact of business intelligence on organization's effectiveness: an empirical study. Journal of Systems and Information Technology, 17(3), 263-285.
https://doi.org/10.1108/JSIT-09-2014-0067
Arokodare, M. A., & Asikhia, O. U. (2020). Strategic agility: Achieving superior organizational performance through strategic foresight. Global Journal of Management and Business Research, 20(3), 7-16.
https://doi.org/10.34257/GJMBRAVOL20IS3PG7
Arshad, M. Z., Arshad, D., Lamsali, H., Alshuaibi, A. S. I., Alshuaibi, M. S. I., Albashar, G., ... & Chuah, L. F. (2023). Strategic resources alignment for sustainability: The impact of innovation capability and intellectual capital on SME's performance. Moderating role of external environment. Journal of Cleaner Production, 417, 137884.
https://doi.org/10.1016/j.jclepro.2023.137884
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120.
https://doi.org/10.1177/014920639101700108
Benitez, J., Henseler, J., Castillo, A. and Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(2), 103168.
https://doi.org/10.1016/j.im.2019.05.003
Bezzina, F., Baldacchino, D., & Cassar, V. (2020). Relating Knowledge Management Enablers, Knowledge Management Processes, and Organizational Effectiveness: The Case for the Maltese Pharmaceutical Sector. International Journal of Knowledge Management, 16(4), 109-124.
https://doi.org/10.4018/IJKM.2020100106
Bhatiasevi, V., & Naglis, M. (2020). Elucidating the determinants of business intelligence adoption and organizational performance. Information Development, 36(1), 78-96.
https://doi.org/10.1177/0266666918811394
Boczkowski, P. J. (2004). The processes of adopting multimedia and interactivity in three online newsrooms. Journal of Communication, 54(2), 197-213.
https://doi.org/10.1111/j.1460-2466.2004.tb02624.x
Bosak, J., Dawson, J., Flood, P., & Peccei, R. (2017). Employee involvement climate and climate strength: A study of employee attitudes and organizational effectiveness in UK hospitals. Journal of Organizational Effectiveness: People and Performance, 4(1), 18-38.
https://doi.org/10.1108/JOEPP-10-2016-0060
Brackett, M. H. (1999). Business intelligence value chain. DM Review, 20, 1-9.
Bustinza, O. F., Vendrell-Herrero, F., Perez-Arostegui, M., & Parry, G. (2019). Technological capabilities, resilience capabilities, and organizational effectiveness. The International Journal of Human Resource Management, 30(8), 1370-1392.
https://doi.org/10.1080/09585192.2016.1216878
Capron, L., & Hulland, J. (1999). Redeployment of brands, sales forces, and general marketing management expertise following horizontal acquisitions: A resource-based view. Journal of Marketing, 63(2), 41-54.
https://doi.org/10.1177/002224299906300203
Cavusgil, S.T. and Knight, G. (2015), The born global firm: An entrepreneurial and capabilities perspective on early and rapid internationalization. Journal of International Business Studies, 46, 3-16.
https://doi.org/10.1057/jibs.2014.62
Chakravarty, A., Grewal, R. & Sambarrturthy, V. (2013). Information technology competencies, organizational agility, and firm performance: Enabling and facilitating roles. Information Systems Research, 24(4), 976-997,1162- 1163,1166.
https://doi.org/10.1287/isre.2013.0500
Chang, E., Hussain, F., & Dillon, T. (2006). Trust and reputation for service-oriented environments: technologies for building business intelligence and consumer confidence. John Wiley & Sons.
https://doi.org/10.1002/9780470028261
Chau, M., & Xu, J. (2012). Business intelligence in blogs: Understanding consumer interactions and communities. MIS Quarterly, 1189-1216.
https://doi.org/10.2307/41703504
Chee, T., Chan, L. K., Chuah, M. H., Tan, C. S., Wong, S. F., & Yeoh, W. (2009). Business intelligence systems: state-of-the-art review and contemporary applications. In Symposium on Progress in Information & Communication Technology, 2(4), 16-30.
Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232.
https://doi.org/10.1016/j.ijinfomgt.2020.102232
Cheng, C., Zhong, H., & Cao, L. (2020). Facilitating speed of internationalization: The roles of business intelligence and organizational agility. Journal of Business Research, 110, 95-103. Davis, P. and Pett, T. (2002). Measuring organizational efficiency and effectiveness, Journal of Management Research, 2(2), 87-97.
https://doi.org/10.1016/j.jbusres.2020.01.003
Douglas, S., Merritt, D., Roberts, R., & Watkins, D. (2022). Systemic leadership development: impact on organizational effectiveness. International Journal of Organizational Analysis, 30(2), 568-588.
https://doi.org/10.1108/IJOA-05-2020-2184
Dyer, L., & Shafer, R. (1999). From human resource strategy to organizational effectiveness: Lessons from research in organizational agility. Research in Personnel & HRM, (Supplement 4), 145-174.
Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153.
https://doi.org/10.1016/j.accinf.2008.03.001
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4.
https://doi.org/10.11648/j.ajtas.20160501.11
Fawad Sharif, S. M., Yang, N., Rehman, A. U., & Alghamdi, O. (2022). Sustaining innovation during downsizing strategy through knowledge coupling, business process digitization, and market capitalization agility. Australian Journal of Management, 03128962221142435.
https://doi.org/10.1177/03128962221142435
Gangadharan, G. R., & Swami, S. N. (2004, June). Business intelligence systems: design and implementation strategies. In 26th International Conference on Information Technology Interfaces, 2004. (139-144). IEEE.
Ghasemaghaei, M., Hassanein, K., & Turel, O. (2017). Increasing firm agility through the use of data analytics: The role of fit. Decision Support Systems, 101, 95-105.
https://doi.org/10.1016/j.dss.2017.06.004
Gilbert, G. R., & Parhizgari, A. M. (2000). Organizational effectiveness indicators to support service quality. Managing Service Quality: An International Journal, 10(1), 46-52.
https://doi.org/10.1108/09604520010307030
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214.
https://doi.org/10.1080/07421222.2001.11045669
Goldman, S., Nageel, R., & Preiss, K. (1995). Agile Competitors and Virtual Organizations: Strategies for Enriching the Customer. New York: Van Nostrand Reinhold.
Haddadi, F., & Yaghoobi, T. (2014). Key indicators for organizational performance measurement. Management Science Letters, 4(9), 2021-2030.
https://doi.org/10.5267/j.msl.2014.8.019
Hair Jr, J. F. (2020). Next-generation prediction metrics for composite-based PLS-SEM. Industrial Management & Data Systems, 121(1), 5-11.
https://doi.org/10.1108/IMDS-08-2020-0505
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (p. 197). Springer Nature.
https://doi.org/10.1007/978-3-030-80519-7
Hair Jr, J.F., Matthews, L.M., Matthews, R.L. and Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-23.
https://doi.org/10.1504/IJMDA.2017.087624
Hair, J. F., García-Machado, J. J., & Martínez-Avila, M. (2023). The impact of organizational compliance culture and green culture on environmental behavior: The moderating effect of environmental commitment. Green Finance, 5(4), 624-657.
https://doi.org/10.3934/GF.2023024
Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2013), "A primer on partial least squares structural equation modeling (PLS-SEM)".
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135.
https://doi.org/10.1007/s11747-014-0403-8
Herlina, M., Lasmy, L., Sudrajat, D., Syahchari, D., Saroso, H., & Zanten, E. (2021). Ambidexterity and agility in achieving dry port effectiveness in the greater Jakarta. Uncertain Supply Chain Management, 9(2), 247-254.
https://doi.org/10.5267/j.uscm.2021.3.008
Holbeche, L. S. (2018). Organizational effectiveness and agility. Journal of Organizational Effectiveness: People and Performance, 5(4), 302-313.
https://doi.org/10.1108/JOEPP-07-2018-0044
Irfan, M., Wang, M., & Akhtar, N. (2019). Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view. Operations Management Research, 12, 113-128.
https://doi.org/10.1007/s12063-019-00142-y
Ishaq Bhatti, M., Awan, H. M., & Razaq, Z. (2014). The key performance indicators (KPIs) and their impact on overall organizational performance. Quality & Quantity, 48, 3127-3143.
https://doi.org/10.1007/s11135-013-9945-y
Islam, M. N., Furuoka, F., & Idris, A. (2021). Mapping the relationship between transformational leadership, trust in leadership and employee championing behavior during organizational change. Asia Pacific Management Review, 26(2), 95-102.
https://doi.org/10.1016/j.apmrv.2020.09.002
Kang, H. (2021). Sample size determination and power analysis using the G* Power software. Journal of educational evaluation for health professions, 18.
https://doi.org/10.3352/jeehp.2021.18.17
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10. Krotov, V., Junglas, I., & Steel, D. (2015). The mobile agility framework: an exploratory study of mobile technology enhancing organizational agility. Journal Of Theoretical and Applied Electronic Commerce Research, 10(3), 1-17.
https://doi.org/10.4018/ijec.2015100101
Kulkarni, J., & King, R. (1997). Business intelligence systems and data mining. SAS Institute, p1-5.
Li, L., Lin, J., Turel, O., Liu, P., & Luo, X. (2020). The impact of e-commerce capabilities on agricultural firms' performance gains: the mediating role of organizational agility. Industrial Management & Data Systems, 120(7), 1265-1286.
https://doi.org/10.1108/IMDS-08-2019-0421
Lu, Y., & K. (Ram) Ramamurthy. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS quarterly, 931-954.
https://doi.org/10.2307/41409967
Markarian J, Brobst S, Bedell J (2007) Critical success factors deploying pervasive BI (Joint white paper). Informatica, Teradata, MicroStrategy, USA. viewed, 10.
Mikalef, P., & Pateli, A. (2017). Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA. Journal of Business Research, 70, 1-16.
https://doi.org/10.1016/j.jbusres.2016.09.004
Moradi, E., Jafari, S. M., Doorbash, Z. M., & Mirzaei, A. (2021). Impact of organizational inertia on business model innovation, open innovation and corporate performance. Asia Pacific Management Review, 26(4), 171-179.
https://doi.org/10.1016/j.apmrv.2021.01.003
Moss, L. T., & Atre, S. (2003). Business intelligence roadmap: the complete project lifecycle for decision-support applications. Addison-Wesley Professional.
Moss, L., & Hoberman, S. (2004). The importance of data modeling as a foundation for business insight. Design.
Mullins, L., & Christy, G. (2013). Management & Organisational Behaviour. Pearson Education.
Murthy, K. S., & Kumar, K. S. (2021). Impact of HR practices on organizational effectiveness: A study with reference to engineering colleges in Chennai, Tamil Nadu. International Journal of Asian Business and Information Management, 12(2), 157-168.
https://doi.org/10.4018/IJABIM.20210401.oa10
Nawang, N. I., Mohamed, A. M. T., & Mustaffa, A. (2020). Online news portals in Malaysia- A revisit of the regulatory regime governing the media in the era of media convergence. UUM Journal of Legal Studies, 11(1), 117-142.
https://doi.org/10.32890/uumjls.11.1.2020.8263
Nazarian, A., Atkinson, P., Foroudi, P., Velayati, R., Edirisinghe, D., & Hosseini Tabaghdehi, A. (2022). How leadership affects organizational citizenship behavior-a study of independent hotels. International Journal of Culture, Tourism and Hospitality Research, 16(1), 35-54.
https://doi.org/10.1108/IJCTHR-10-2020-0229
Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision-making using big data analytics. Information Processing & Management, 58(6), 102725.
https://doi.org/10.1016/j.ipm.2021.102725
Olaru, C. (2014). Business intelligence in telecommunications industry. International Journal of Economic Practices and Theories, 4(1), 89-100.
Panda, S., & Rath, S. K. (2021). Information technology capability, knowledge management capability, and organizational agility: The role of environmental factors. Journal of Management & Organization, 27(1), 148-174.
https://doi.org/10.1017/jmo.2018.9
Phornlaphatrachakorn, K., & Na-kalasindhu, K. (2020). Strategic management accounting and firm performance: Evidence from finance businesses in Thailand. The Journal of Asian Finance, Economics, and Business, 7(8), 309-321.
https://doi.org/10.13106/jafeb.2020.vol7.no8.309
Podsakoff, P.M. and Organ, D.W. (1986), Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531-44.
https://doi.org/10.1177/014920638601200408
Potnuru, R. K. G., Sahoo, C. K., & Parle, K. C. (2021). HRD practices, employee competencies and organizational effectiveness: role of organizational learning culture. Journal of Asia Business Studies, 15(3), 401-419.
https://doi.org/10.1108/JABS-06-2020-0237
Rayat, M. & Kelidbari, H. R. R. (2017). The effects of business intelligence on the effectiveness of the organization (Case Study: Airline Companies in Iran). Rev. Eur. Stud., 9, 176.
https://doi.org/10.5539/res.v9n3p176
Renzl, B., Mahringer, C., Rost, M., & Scheible, L. (2021). Organizational agility: Current challenges and future opportunities. Journal of Competences, Strategy & Management, 11, 1-10.
Rouhani, S., Ashrafi, A., Zare Ravasan, A., & Afshari, S. (2016). The impact model of business intelligence on decision support and organizational benefits. Journal of Enterprise Information Management, 29(1), 19-50.
https://doi.org/10.1108/JEIM-12-2014-0126
Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 237-263.
https://doi.org/10.2307/30036530
Sarwar, H., Aftab, J., Ishaq, M. I., & Atif, M. (2023). Achieving business competitiveness through corporate social responsibility and dynamic capabilities: An empirical evidence from emerging economy. Journal of Cleaner Production, 386, 135820.
https://doi.org/10.1016/j.jclepro.2022.135820
Seddigh, M. R., Shokouhyar, S., & Loghmani, F. (2023). Approaching towards sustainable supply chain under the spotlight of business intelligence. Annals of Operations Research, 324(1-2), 937-970. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
https://doi.org/10.1007/s10479-021-04509-y
Supadiyanto, S. (2020). (Opportunities) Death of Newspaper Industry in Digital Age and Covid-19 Pandemic. Jurnal The Messenger, 12(2), 192-207.
https://doi.org/10.26623/themessenger.v12i2.2244
Tarek, B. H., Adel, G., & Sami, A. (2016). The relationship between 'competitive intelligence' and the internationalization of North African SMEs. Competition & Change, 20(5), 326-336.
https://doi.org/10.1177/1024529416657494
Tsourveloudis, N., Valavanis, K., Gracanin, D., & Matijasevic, M. (1999, June). On the measurement of agility in manufacturing systems. In Proceedings of the 2nd European Symposium on Intelligent Techniques.
Turban, E., Sharda, S., Aronson, J. E., and King, D. 2008. Business Intelligence: A Managerial Approach, Upper Saddle River, NJ: Pearson Prentice Hall
Wang, J., Omar, A. H., Alotaibi, F. M., Daradkeh, Y. I., & Althubiti, S. A. (2022). Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage. Information Processing & Management, 59(6), 103075.
https://doi.org/10.1016/j.ipm.2022.103075
Weber, Y., & Tarba, S. Y. (2014). Strategic agility: A state-of-the-art introduction to the special section on strategic agility. California Management Review, 56(3), 5-12.
https://doi.org/10.1525/cmr.2014.56.3.5
Wetzels, M., Odekerken-Schröder, G. and Van Oppen, C. (2009), Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 177-95.
https://doi.org/10.2307/20650284
Whitehorn, M., & Whitehorn, M. (1999). Business Intelligence: The IBM Solution: Data warehousing and OLAP. Springer Science & Business Media.
Wieder, B., & Ossimitz, M. L. (2015). The impact of Business Intelligence on the quality of decision making-a mediation model. Procedia Computer Science, 64, 1163-1171.
https://doi.org/10.1016/j.procs.2015.08.599
Wixom, B., & Watson, H. (2010). The BI-based organization. International Journal of Business Intelligence Research, 1(1), 13-28.
https://doi.org/10.4018/jbir.2010071702
Zahra, S. A., Neubaum, D. O., & El-Hagrassey, G. M. (2002). Competitive analysis and new venture performance: Understanding the impact of strategic uncertainty and venture origin. Entrepreneurship Theory and Practice, 27(1), 1-28.
https://doi.org/10.1111/1540-8520.t01-2-00001
Zlatković, M. (2018). Organizational effectiveness in Bosnia and Herzegovina: A competing values approach. Strategic Management, 23(4), 15-25.
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