IMPACT OF COMPETITIVE STRATEGY ON BIG DATA ANALYTICS ADOPTION: AN INFORMATION PROCESSING PERSPECTIVE
DOI:
https://doi.org/10.7903/ijecs.2013Keywords:
business strategy, big data analytics, supply chain competence, technology adoption, information processing viewAbstract
Recent advancements in big data analytics have invoked tremendous attention from both academics and industries. Many researchers refer that the adoption and application of big data analytics could lead to performance impact to organizations, and therefore further affect organizational adoption intention of this technology. However, few researches study the association between business strategy and big data analytics adoption. Furthermore, the role of firms’ functional activities such as supply chain operations has not been clarified in the adoption considerations of big data analytics. In this research, empirical data from enterprises were collected and analyzed to assess the impact of business strategy on big data analytics adoption and the possible effect of supply chain competence in the linkage. The results supported our hypotheses and the implications for management decisions are elaborated.References
A. McAfee, and E. Brynjolfsson, “Big data - The management revolution,” Harvard Business Review, vol. 90, no. 10, pp. 60-68, 2012.
S. Fosso Wamba, S. Akter, A. Edwards, G. Chopin, and D. Gnanzou, “How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study,” International Journal of Production Economics, 2015.
I. A. T. Hashem, I. Yaqoob, N. B. Anuar, S. Mokhtar, A. Gani, and S. Ullah Khan, “The rise of “big data” on cloud computing: Review and open research issues,” Information Systems, vol. 47, pp. 98-115, 2015.
W. H. Weng, and W. T. Lin, “Development trends and strategy planning in big data industry,” Contemporary Management Research, vol. 10, no. 3, pp. 203-214, 2014.
W. H. Weng, and W. T. Lin, “A Big Data technology foresight study with scenario planning approach,” International Journal of Innovation in Management, vol. 1, no. 2, pp. 41-52, 2013.
W. H. Weng, and W. T. Lin, “Development assessment and strategy planning in cloud computing industry,” International Journal of Electronic Commerce Studies, vol. 5, no. 2, pp. 257-266, 2014.
W. H. Weng, and W. T. Lin, “A mobile computing technology foresight study with scenario planning approach,” International Journal of Electronic Commerce Studies, vol. 6, no. 2, pp. 223-232, 2015.
W. H. Weng, and W. T. Lin, “A scenario analysis of wearable interface technology foresight,” in The International Conference on Electronic Business (ICEB), Taipei, 2014, pp. 8-15.
D. Agrawal, S. Das, and A. E. Abbadi, “Big data and cloud computing: Current state and future opportunities,” in ACM EDBT, Uppsala, Sweden, 2011.
J. R. Galbraith, “Organization design: an information processing view,” Interfaces, vol. 4, no. 3, pp. 28-36, 1974.
M. L. Tushman, and D. A. Nadler, “Information processing as an integrating concept in organizational design,” Academy of Management Review, vol. 3, no. 3, pp. 613-624, 1978.
H. A. Smith, J. D. McKeen, and S. Singh, “Developing information technology strategy for business value,” Journal of Information Technology Management, vol. 18, no. 1, pp. 49-58, 2007.
C. M. Koo, C. E. Koh, and K. Nam, “An examination of Porter's competitive strategies in electronic virtual markets: A comparison of two on-line business models,” International Journal of Electronic Commerce, vol. 9, no. 1, pp. 163-180, 2004.
M. E. Porter, and V. E. Millar, “How information gives you competitive advantage,” Harvard Business Review, vol. 63, no. 4, pp. 61-78, July/August, 1985.
S. Li, B. Ragu-Nathan, T. S. Ragu-Nathan, and S. Subba Rao, “The impact of supply chain management practices on competitive advantage and organizational performance,” Omega, vol. 34, no. 2, pp. 107-124, 2006.
B. T. Hazen, C. A. Boone, J. D. Ezell, and L. A. Jones-Farmer, “Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications,” International Journal of Production Economics, vol. 154, pp. 72-80, 2014.
M. A. Waller, and S. E. Fawcett, “Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management,” Journal of Business Logistics, vol. 34, no. 2, pp. 77-84, 2013.
P. Bharati, and A. Chaudhury, “Assimilation of Big Data Innovation: Investigating the Roles of IT, Social Media, and Relational Capital,” Information Systems Frontiers, pp. 1-12, March 06, 2018.
J. Shirish, D. Rameshwar, C. S. J., P. Thanos, R. David, and P. Anand, “Impact of big data and predictive analytics capability on supply chain sustainability,” The International Journal of Logistics Management, vol. 29, no. 2, pp. 513-538, 2018.
Y. Wang, L. Kung, W. Y. C. Wang, and C. G. Cegielski, “An integrated big data analytics-enabled transformation model: Application to health care,” Information & Management, vol. 55, no. 1, pp. 64-79, 2018/01/01/, 2018.
V. Borkar, M. Carey, and C. Li, “Inside "big data management": Ogres, onions, or parfaits?,” in ACM EDBT/ICDT Joint Conference, Berlin, Germany, 2012.
H. Chen, R. H. L. Chiang, and V. C. Storey, “Business Intelligence and Analytics: From Big Data to Big Impact,” MIS Quarterly, vol. 36, no. 4, pp. 1165-1188, 2012.
R. F. Babiceanu, and R. Seker, “Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook,” Computers in Industry, vol. 81, pp. 128-137, 2016.
J. Shafer, S. Rixner, and A. L. Cox, "The hadoop distributed filesystem: Balancing portability and performance." pp. 122-133.
D. Glushkova, P. Jovanovic, and A. Abelló, “Mapreduce performance model for Hadoop 2.x,” Information Systems, 2017.
M. Stonebraker, “SQL databases vs NoSQL databases,” Communications of the ACM, vol. 53, no. 4, pp. 10-11, 2010.
M. Gupta, and J. F. George, “Toward the development of a big data analytics capability,” Information & Management, vol. 53, no. 8, pp. 1049-1064, 2016/12/01/, 2016.
M. E. Porter, Competitive strategy, New York: Free Press, 1980.
A. Miller, and G. G. Dess, “Assessing Porter’s (1980) model in terms of generalizability, accuracy, and simplicity.,” Journal of Management Studies, vol. 30, no. 4, pp. 553-585, 1993.
M. E. Porter, Competitive advantage, New York: Free Press, 1985.
D. Miller, “Relating porter’s business strategies to environment and structure: analysis and performance implications,” Academy of Management Journal, vol. 31, no. 2, pp. 280-308, 1988.
C. V. L. Hill, “Difierentiation versus low cost or differentiation and low cost: A contingency framework,” Academy of Management Review, vol. 13, no. 3, pp. 401-412, 1988.
A. I. Murray, “A contingency view of Porter's "generic strategies",” Academy of Management Review, vol. 13, no. 3, pp. 390-400, 1988.
B. Huo, Y. Qi, Z. Wang, and X. Zhao, “The impact of supply chain integration on firm performance,” Supply Chain Management: An International Journal, vol. 19, no. 4, pp. 369-384, 2014.
A. Lockamy, and K. McCormack, “Linking SCOR planning practices to supply chain performance,” International Journal of Operations & Production Management, vol. 24, no. 12, pp. 1192-1218, 2004.
S. H. Huan, S. K. Sheoran, and G. Wang, “A review and analysis of supply chain operations reference (SCOR) model,” Supply Chain Management: An International Journal, vol. 9, no. 1, pp. 23-29, 2004.
S. M. Wagner, P. T. Grosse-Ruyken, and F. Erhun, “The link between supply chain fit and financial performance of the firm,” Journal of Operations Management, vol. 30, no. 4, pp. 340-353, 2012.
E. Claver-Cortés, E. M. Pertusa-Ortega, and J. F. Molina-Azorín, “Characteristics of organizational structure relating to hybrid competitive strategy: Implications for performance,” Journal of Business Research, vol. 65, no. 7, pp. 993-1002, 2012.
J. Mathews, “An information processing view of competition analysis,” IUP Journal of Business Strategy, vol. 13, no. 1, pp. 7-25, 2016.
H. Mintzberg, “Strategy formation in an adhocracy,” Administrative Science Quarterly vol. 30, no. 2, pp. 160-197, 1985.
H. Mintzberg, and J. A. Waters, “Of strategies, deliberate and emergent,” Strategic Management Journal, vol. 6, no. 3, pp. 257-272, 1985.
M. Janssen, H. van der Voort, and A. Wahyudi, “Factors influencing big data decision-making quality,” Journal of Business Research, vol. 70, pp. 338-345, 2017.
S. Akter, S. F. Wamba, A. Gunasekaran, R. Dubey, and S. J. Childe, “How to improve firm performance using big data analytics capability and business strategy alignment?,” International Journal of Production Economics, vol. 182, pp. 113-131, 2016.
K. Xie, Y. Wu, J. Xiao, and Q. Hu, “Value co-creation between firms and customers: The role of big data-based cooperative assets,” Information & Management, vol. 53, no. 8, pp. 1034-1048, 2016.
A. H. Wien, and S. O. Olsen, “Producing word of mouth – a matter of self-confidence? Investigating a dual effect of consumer self-confidence on WOM,” Australasian Marketing Journal (AMJ), vol. 25, no. 1, pp. 38-45, 2017.
J. Qi, Z. Zhang, S. Jeon, and Y. Zhou, “Mining customer requirements from online reviews: A product improvement perspective,” Information & Management, vol. 53, no. 8, pp. 951-963, 2016.
A. Gunasekaran, C. Patel, and E. Tirtiroglu, “Performance measures and metrics in a supply chain environment,” International Journal of Operations & Production Management, vol. 21, no. 1/2, pp. 71-87, 2001.
A. White, E. M. Daniel, and M. Mohdzain, “The role of emergent information technologies and systems in enabling supply chain agility,” International Journal of Information Management, vol. 25, no. 5, pp. 396-410, 2005.
F. Wu, S. Yeniyurt, D. Kim, and S. T. Cavusgil, “The impact of information technology on supply chain capabilities and firm performance: A resource-based view,” Industrial Marketing Management, vol. 35, no. 4, pp. 493-504, 2006.
L. R. Vijayasarathy, “An investigation of moderators of the link between technology use in the supply chain and supply chain performance,” Information & Management, vol. 47, no. 7-8, pp. 364-371, 2010.
S. Qrunfleh, and M. Tarafdar, “Supply chain information systems strategy: Impacts on supply chain performance and firm performance,” International Journal of Production Economics, vol. 147, pp. 340-350, 2014.
S. E. DeGroote, and T. G. Marx, “The impact of IT on supply chain agility and firm performance: An empirical investigation,” International Journal of Information Management, vol. 33, no. 6, pp. 909-916, 2013.
T. Schoenherr, and C. Speier-Pero, “Data science, predictive analytics, and big data in supply chain management: Current state and future potential,” Journal of Business Logistics, vol. 36, no. 1, pp. 120-132, 2015.
R. E. Bryant, R. H. Katz, and E. D. Lazowska, “Big-data computing: Creating revolutionary breakthroughs in commerce, science, and society,” in Computing Research Initiatives for the 21st Century, 2008.
B. M. Beamon, “Measuring supply chain performance,” International Journal of Operations & Production Management, vol. 19, no. 3, pp. 275-292, 1999.
A. Gunasekaran, C. Patel, and R. E. McGaughey, “A framework for supply chain performance measurement,” International Journal of Production Economics, vol. 87, no. 3, pp. 333-347, 2004.
S. Robak, B. Franczyk, and M. Robak, "Applying big data and linked data concepts in supply chains management." pp. 1215 - 1221.
L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Computer Networks, vol. 54, no. 15, pp. 2787-2805, 2010.
C. G. Cegielski, L. Allison Jones‐Farmer, Y. Wu, and B. T. Hazen, “Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach,” The International Journal of Logistics Management, vol. 23, no. 2, pp. 184-211, 2012.
R. Angeles, “Rfid Technologies: Supply-Chain Applications and Implementation Issues,” Information Systems Management, vol. 22, no. 1, pp. 51-65, 2005.
C. B. Jarvis, S. B. MacKenzie, and P. M. Podsakoff, “A critical review of construct indicators and measurement model misspecification in marketing and consumer research,” Journal of consumer research, vol. 30, no. 2, pp. 199-218, 2003.
G. G. Dess, and P. S. Davis, “Porter's (1980) Generic Strategies as Determinants of Strategic Group Membership and Organizational Performance,” Academy of Management Journal, vol. 27, no. 3, pp. 467-488, 1984.
R. B. Robinson, and J. A. Pearce, “Planned Patterns of Strategic Behavior and Their Relationship to Business- Unit Performance,” Strategic Management Journal, vol. 9, no. 1, pp. 43-60, 1988.
P. Wright, “A Refinement of Porter’s generic strategies,” Strategic Management Journal, vol. 8, pp. 93-101, 1987.
S. Kotha, and B. L. Vadlamani, “Assessing Generic Strategies: An Empirical Investigation of Two Competing Typologies in Discrete Manufacturing Industries,” Strategic Management Journal, vol. 16, no. 1, pp. 75-83, 1995.
I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179-211, 1991/12/01/, 1991.
V. Venkatesh, and H. Bala, “Technology Acceptance Model 3 and a Research Agenda on Interventions,” Decision Sciences, vol. 39, no. 2, pp. 273-315, 2008.
F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, vol. 13, no. 3, pp. 319-340, 1989.
H. Liu, W. Ke, K. K. Wei, J. Gu, and H. Chen, “The role of institutional pressures and organizational culture in the firm's intention to adopt internet-enabled supply chain management systems,” Journal of Operations Management, vol. 28, no. 5, pp. 372-384, 2010.
H. H. Teo, K. K. Wei, and I. Benbasat, “Predicting intention to adopt interganizaitonal linkages: an institutional perspective ” MIS Quarterly, vol. 27, no. 1, pp. 19-49, 2003.
C. M. Ringle, S. Wende, and A. Will, SmartPLS 2.0. M3. Hamburg: SmartPLS, 2005.
D. V. Cicchetti, K. Koenig, A. Klin, F. R. Volkmar, R. Paul, and S. Sparrow, “From Bayes through marginal utility to effect sizes: a guide to understanding the clinical and statistical significance of the results of autism research findings,” J Autism Dev Disord, vol. 41, no. 2, pp. 168-74, Feb, 2011.
J. C. Nunnally, and I. H. Bernstein, Psychometric theory, 3 ed., New York: McGraw-Hill, 1994.
D. Campbell, T., and D. Fiske, W., “Convergent and discriminant validation by the multitrait-multimethod matrix,” Psychological Bulletin, vol. 56, no. 2, pp. 81-105, 1959.
J. F. Hair Jr, G. T. M. Hult, C. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications, 2016.
M. Pagell, and D. R. Krause, “Strategic consensus in the internal supply chain: exploring the manufacturing–purchasing link,” International Journal of Production Research, vol. 40, no. 13, pp. 3075-3092, 2002.
F. P. Williams, D. E. D'Souza, M. E. Rosenfeldt, and M. Kassaee, “Manufacturing strategy, business strategy and firm performance in a mature industry,” Journal of Operations Management, vol. 13, no. 1, pp. 19-33, 1995/07/01/, 1995.
M. K. Nandakumar, A. Ghobadian, and N. O'Regan, “Generic strategies and performance - evidence from manufacturing firms,” International Journal of Productivity and Performance Management, vol. 60, no. 3, pp. 222-251, 2011, 2011.
K. Amoako-Gyampah, and M. Acquaah, “Manufacturing strategy, competitive strategy and firm performance: An empirical study in a developing economy environment,” International Journal of Production Economics, vol. 111, no. 2, pp. 575-592, 2008.
R. D. Banker, R. Mashruwala, and A. Tripathy, “Does a differentiation strategy lead to more sustainable financial performance than a cost leadership strategy?,” Management Decision, vol. 52, no. 5, pp. 872-896, 2014.
P. T. Ward, and R. Duray, “Manufacturing strategy in context environment competitive strategy and manufacturing strategy,” Journal of Operations Management, vol. 18, pp. 123-138, 2000.
Y. H. Kim, F. J. Sting, and C. H. Loch, “Top-down, bottom-up, or both? Toward an integrative perspective on operations strategy formation,” Journal of Operations Management, vol. 32, no. 7, pp. 462-474, 2014/11/01/, 2014.
P. R. Varadarajan, S. Jayachandran, and J. C. White, “Strategic interdependence in organizations: Deconglomeration and marketing strategy,” Journal of Marketing, vol. 65, no. 1, pp. 15-28, Jan 2001, 2001.
C. B. Li, and J. J. L. Li, “Achieving superior financial performance in China: Differentiation, cost Leadership, or both?,” Journal of International Marketing, vol. 16, no. 3, pp. 1-22, 2008.
W. H. Weng, and W. T. Lin, “Development assessment and strategy planning in mobile computing industry,” in 2014 IEEE International Conference on Management of Innovation and Technology, Singapore, 2014, pp. 453-457.
