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http://dx.doi.org/10.13106/jafeb.2021.vol8.no5.0897

The Role of Business Capabilities in Supporting Organization Agility and Performance During the COVID-19 Pandemic: An Empirical Study in Indonesia  

WANASIDA, Albert Surya (Faculty of Economics and Business, Universitas Pelita Harapan)
BERNARTO, Innocentius (Graduate School of Management, Universitas Pelita Harapan)
SUDIBJO, Niko (Faculty of Education, Universitas Pelita Harapan)
PURWANTO, Agus (Faculty of Education, Universitas Pelita Harapan)
Publication Information
The Journal of Asian Finance, Economics and Business / v.8, no.5, 2021 , pp. 897-911 More about this Journal
Abstract
This study aims to analyze the important role of business analytics capability, information quality, and innovation capability in influencing organization agility and organization performance during the Covid-19 pandemic. Data was collected from 76 companies from various sectors in Indonesia. Structural Equation Model-Partial Least Square (SEM-PLS) analysis was conducted to analyze the relationship between variables and test a series of hypotheses. Importance-Performance Matrix Analysis (IPMA), a useful analysis approach in PLS-SEM, is used, which extends the results of the estimated path coefficient (importance) by adding a dimension that considers the average values of the latent variable scores (performance). The IPMA approach examines not only the performance of an item but also the importance of that item. The results show that business analytics capability has a significant effect on information quality and innovation capability which then affects organization agility. Organizational performance is influenced by organizational agility. IPMA results show that organizational agility has the highest level of impact on organizational performance. This study will assist companies in planning business analytics, improving information quality, increasing innovation capability, and ultimately increasing agility and performance during the Covid-19 pandemic. This study will add to existing knowledge about previous literature, especially in the Covid-19 pandemic situation.
Keywords
Business Analytics Capability; Information Quality; Innovation Capability; Organization Agility; Organization Performance;
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1 Badan Pusat Statistik. (2020). BPS: 82 persen pendapatan perusahaan merosot di era Covid-19. CNN Indonesia. https://www.cnnindonesia.com/ekonomi/20201007131253-92-555422/bps-82-persen-pendapatan-perusahaan-merosot-di-era-covid-19
2 Bhatt, G., Emdad, A., Roberts, N., & Grover, V. (2010). Building and leveraging information in dynamic environments: The role of IT infrastructure flexibility as the enabler of organizational responsiveness and competitive advantage. Information and Management, 47(7-8), 341-349. https://doi.org/10.1016/j.im.2010.08.001   DOI
3 Carranza, R., Diaz, E., Martin-Consuegra, D., & FernandezFerrin, P. (2020). PLS-SEM in business promotion strategies. A multigroup analysis of mobile coupon users using MICOM. Industrial Management and Data Systems, 120(12), 2349-2374. https://doi.org/10.1108/IMDS-12-2019-0726   DOI
4 Chen, H., Chiang, R. H. L., Storey, V. C., & Robinson, J. M. (2012). Business intelligence research business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188. https://doi.org/10.2307/41703503   DOI
5 Goeltom, V. A. H., Kristiana, Y., Juliana, J., Bernato, I., & Pramono, R. (2020). The Effect of Service Quality and Value of Five-Star Hotel Services on Behavioral Intentions with the Role of Consumer Satisfaction as Mediator. The Journal of Asian Finance, Economics and Business, 7(11), 967-976. https://doi.org/10.13106/JAFEB.2020.VOL7.NO11.967   DOI
6 Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203   DOI
7 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(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8   DOI
8 Holsapple, C., Lee-post, A., & Pakath, R. (2014). A unified foundation for business analytics. Decision Support Systems, 64, 130-141. https://doi.org/10.1016/j.dss.2014.05.013   DOI
9 Krishnamoorthi, S., & Mathew, S. K. (2018). Business analytics and business value: A comparative case study. Information and Management, 55(5), 643-666. https://doi.org/10.1016/j.im.2018.01.005   DOI
10 Laforet, S. (2011). A framework of organizational innovation and outcomes in SMEs. International Journal of Entrepreneurial Behavior & Research, 17(4), 380-408. http://doi.org/10.1108/13552551111139638   DOI
11 LaValle, S., Hopkins, M. S., Lesser, E., Shockley, R., & Kruschwitz, N. (2010). Analytics: The new path to value. MIT Sloan Management Review, 52(1), 1-25. https://sloanreview.mit.edu/projects/analytics-the-new-path-to-value/
12 Lawson, B., & Samson, D. (2001). Developing innovation capability in organizations: A dynamic capabilities approach. International Journal of Innovation Management, 5(3), 377-400. https://doi.org/10.1142/S1363919601000427   DOI
13 Dubey, R., Altay, N., Gunasekaran, A., Blome, C., Papadopoulos, T., & Childe, S. J. (2010). Supply chain agility, adaptability, and alignment: Empirical evidence from the Indian auto components industry. European Journal of Social Psychology, 40(2), 366-374.   DOI
14 Abbing, E. R. (2010). Brand driven innovation: Strategies for development and design (Vol. 21). Lausanne, Switzerland: Ava publishing.
15 Adinugraha, H. H., Nasution, I. F. A., Faisal, F., Daulay, M., Harahap, I., Wildan, T., & Purwanto, A. (2021). Halal Tourism in Indonesia: An Indonesian Council of Ulama National Sharia Board Fatwa Perspective. The Journal of Asian Finance, Economics and Business, 8(3), 665-673. https://doi.org/10.13106/JAFEB.2021.VOL8.NO3.0665   DOI
16 Adler, P. S. (1990). Adapting your technological base: The organizational challenge. Sloan Management Review, 32(1), 25-37. http://faculty.marshall.usc.edu/Paul-Adler/research/TechBase%20SMR.pdf
17 Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29-44. https://doi.org/10.1016/j.accinf.2017.03.003   DOI
18 DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748   DOI
19 Duan, Y., Cao, G., & Edwards, J. S. (2020). Understanding the impact of business analytics on innovation. European Journal of Operational Research, 281(3), 673-686. https://doi.org/10.1016/j.ejor.2018.06.021   DOI
20 Dubey, R., Ali, S. S., Aital, P., & Venkatesh, V. G. (2014). Mechanics of humanitarian supply chain agility and resilience and its empirical validation. International Journal of Services and Operations Management, 17(4), 367-384. https://doi.org/10.1504/IJSOM.2014.059999   DOI
21 El Sawy, O. A., & Pavlou, P. A. (2012). The "third hand": IT-enabled competitive advantage in turbulence through improvisational capabilities. SSRN Electronic Journal, 1(1), 1-41. https://doi.org/10.2139/ssrn.1557866   DOI
22 Fink, L., Yogev, N., & Even, A. (2017). Business intelligence and organizational learning: An empirical investigation of value creation processes. Information and Management, 54(1), 38-56. https://doi.org/10.1016/j.im.2016.03.009   DOI
23 Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50. https://doi.org/10.2307/3151312   DOI
24 Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-33. https://doi.org/10.1080/07421222.1996.11518099   DOI
25 Vizano, N. A., Khamaludin, K., & Fahlevi, M. (2021). The Effect of Halal Awareness on Purchase Intention of Halal Food: A Case Study in Indonesia. The Journal of Asian Finance, Economics and Business, 8(4), 441-453. https://doi.org/10.13106/JAFEB.2021.VOL8.NO4.0441   DOI
26 Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., & Dubey, R. (2017). Big data analytics, dynamic capabilities, and firm performance. Journal of Business Research, 70, 356-365. https://doi.org/10.1108/MD-08-2019-020   DOI
27 Wang, G., Dou, W., Zhu, W., & Zhou, N. (2015). The effects of firm capabilities on external collaboration and performance: The moderating role of market turbulence. Journal of Business Research, 68(9), 1928-1936. https://doi.org/10.1016/j.jbusres.2015.01.002   DOI
28 Wang, R. G., Xiangyang, L. Y., Zhao, Y., Gong, S., & Li, B. (2013). Organizational unlearning, organizational flexibility and innovation capability: An empirical study of SMEs in China. International Journal of Technology Management, 61(2), 132-155. https://doi.org/10.1504/IJTM.2013.052178   DOI
29 Wang, X., & Dass, M. (2017). Building innovation capability: The role of top management innovativeness and relative-exploration orientation. Journal of Business Research, 76, 127-135. https://doi.org/10.1016/j.jbusres.2017.03.019   DOI
30 World Health Organization (WHO). (2020). Coronavirus disease 2019 (COVID-19) situation report - 83. In World Health Organization (Issue April). https://doi.org/10.1001/jama.2020.2633   DOI
31 Sharda, R., Delen, D., & Turban, E. (2016). Business intelligence, analytics, and data science: a managerial perspective. London, UK: Pearson.
32 Sasono, I., Jubaedi, A. D., Novitasari, D., Wiyono, N., Riyanto, R., Oktabrianto, O., Waruwu, H. (2021). The Impact of E-Service Quality and Satisfaction on Customer Loyalty: Empirical Evidence from Internet Banking Users in Indonesia. The Journal of Asian Finance, Economics and Business, 8(4), 465-473. https://doi.org/10.13106/JAFEB.2021.VOL8.NO4.0465   DOI
33 Shen, C. C., Chang, R. E., Hsu, C. J., & Chang, I. C. (2017). How business intelligence maturity enabling hospital agility. Telematics and Informatics, 34(1), 450-456. https://doi.org/10.1016/j.tele.2016.06.009   DOI
34 Sherehiy, B., Karwowski, W., & Layer, J. K. (2007). A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37(5), 445-460. https://doi.org/10.1016/j.ergon.2007.01.007   DOI
35 Tallon, P. P., & Pinsonneault, A. (2011). Competing perspectives on the link between strategic information technology alignment and organizational agility: Insights from a mediation model. MIS Quarterly, 35(2), 463-486. https://doi.org/10.2307/23044052   DOI
36 Tan, F. T. C., Tan, B., Wang, W., & Sedera, D. (2017). IT-enabled operational agility: An interdependencies perspective. Information and Management, 54(3), 292-303. https://doi.org/10.1016/j.im.2016.08.001   DOI
37 Chin, W. W., Peterson, R. A., & Brown, S. P. (2008). Structural equation modeling in marketing: Some practical reminders. Journal of Marketing Theory and Practice, 16(4), 287-298. https://doi.org/10.2753/MTP1069-6679160402   DOI
38 Zain, M., Rose, R. C., Abdullah, I., & Masrom, M. (2005). The relationship between information technology acceptance and organizational agility in Malaysia. Information and Management, 42(6), 829-839. https://doi.org/10.1016/j.im.2004.09.001   DOI
39 Teece, D., Peteraf, M., & Leih, S. (2016). Dynamic capabilities and organizational agility: Risk, uncertainty, and strategy in the innovation economy. California Management Review, 58(4), 13-35. https://doi.org/10.1525/cmr.2016.58.4.13   DOI
40 Ulrich, D., & Yeung, A. (2019). Agility: the new response to dynamic change. Strategic HR Review, 18(4), 161-167. https://doi.org/10.1108/shr-04-2019-0032   DOI
41 Corte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of big data analytics in European firms. Journal of Business Research, 70, 379-390. https://doi.org/10.1016/j.jbusres.2016.08.011   DOI
42 Courvisanos, J., & Mackenzie, S. (2014). Innovation economics and the role of the innovative entrepreneur in economic theory. Journal of Innovation Economics Management, 2, 41-61. https://www.cairn.info/revue-journal-of-innovation-economics-2014-2-page-41.htm   DOI
43 Darvishmotevali, M., Altinay, L., & Koseoglu, M. A. (2020). The link between environmental uncertainty, organizational agility, and organizational creativity in the hotel industry. International Journal of Hospitality Management, 87, 102499. https://doi.org/10.1016/j.ijhm.2020.102499   DOI
44 Davenport, T. H., & Harris, J. G. (2007). The dark side of customer analytics. Harvard Business Review, 85(5), 37-48. https://hbr.org/2007/05/the-dark-side-of-customer-analytics
45 Dedeoglu, B. B. (2019). Are information quality and source credibility really important for shared content on social media?: The moderating role of gender. International Journal of Contemporary Hospitality Management, 31(1), 513-534. https://doi.org/10.1108/IJCHM-10-2017-0691   DOI
46 Najafi-Tavani, S., Najafi, Z., Naude, P., Oghazi, P., & Zeynaloo, E. (2018). How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity. Industrial Marketing Management, 73, 193-205. http://eprints.whiterose.ac.uk/127619/   DOI
47 Dekoulou, P., & Trivellas, P. (2017). Organizational structure, innovation performance, and customer relationship value in the Greek advertising and media industry. Journal of Business and Industrial Marketing, 32(3), 385-397. https://doi.org/10.1108/JBIM-07-2015-0135   DOI
48 DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60   DOI
49 Lemy, D. M., Nursiana, A., & Pramono, R. (2020). Destination Loyalty Towards Bali. The Journal of Asian Finance, Economics and Business, 7(12), 501-508. https://doi.org/10.13106/JAFEB.2020.VOL7.NO12.501   DOI
50 Morales-Serazzi, M., Gonzalez-Benito, O., & Martos-Partal, M. (2021). Achieving useful data analytics for marketing: Discrepancies in information quality for producers and users of information. Business Research Quarterly. https://doi.org/10.1177/2340944421996343   DOI
51 Nunnally, J. C., & Bernstein, I. . (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
52 Popovic, A., Hackney, R., Coelho, P. S., & Jaklic, J. (2012). Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), 729-739. https://doi.org/10.1016/j.dss.2012.08.017   DOI
53 Rajapathirana, R. P. J., & Hui, Y. (2018). Relationship between innovation capability, innovation type, and firm performance. Journal of Innovation and Knowledge, 3(1), 44-55. https://doi.org/10.1016/j.jik.2017.06.002   DOI
54 Rasi, R. E., Abbasi, R., & Hatami, D. (2019). The effect of supply chain agility is based on supplier innovation and environmental uncertainty. International Journal of Supply and Operations Management, 6(2), 94-109. https://doi.org/10.22034/2019.2.1   DOI
55 Aydiner, A. S., Tatoglu, E., Bayraktar, E., Zaim, S., & Delen, D. (2019). Business analytics and firm performance: The mediating role of business process performance. Journal of Business Research, 96, 228-237. https://doi.org/10.1016/j.jbusres.2018.11.028   DOI
56 Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results on the importance-performance map analysis. Industrial Management and Data Systems, 116(9), 1865-1886. https://doi.org/10.1108/IMDS-10-2015-0449   DOI
57 Ashrafi, A., & Zare Ravasan, A. (2018). How market orientation contributes to innovation and market performance: The roles of business analytics and flexible IT infrastructure. Journal of Business and Industrial Marketing, 33(7), 970-983. https://doi.org/10.1108/JBIM-05-2017-0109   DOI
58 Ashrafi, A., Zare Ravasan, A., Trkman, P., & Afshari, S. (2019). The role of business analytics capabilities in bolstering firms' agility and performance. International Journal of Information Management, 47, 1-15. https://doi.org/10.1016/j.ijinfomgt.2018.12.005   DOI