The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia

The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia

This study was conducted to determine the relationship by providing a framework that integrates business intelligence systems adoption, information technology infrastructure, innovation, competitive environment, and the performance of Malaysian banking institutions. This study focused on banks in Ma...

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Main Author: Anita, Ismail
Format: Thesis
Language:eng
eng
Published: 2019
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HF5001-6182 Business
Online Access:https://etd.uum.edu.my/8079/1/s95704_01.pdf
https://etd.uum.edu.my/8079/2/s95704_02.pdf
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institution Universiti Utara Malaysia
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language eng
eng
advisor Bakar, Muhammad Shukri
topic HF5001-6182 Business
spellingShingle HF5001-6182 Business
Anita, Ismail
The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia
description This study was conducted to determine the relationship by providing a framework that integrates business intelligence systems adoption, information technology infrastructure, innovation, competitive environment, and the performance of Malaysian banking institutions. This study focused on banks in Malaysia where the identified unit of analysis was the organisation represented by their managers. The views of knowledge-based, the resource-based theory and contingency theory were underpinned in this study. The Statistical Package for Social Science (SPSS) and Partial Least Squares (PLS) approach to structural equation modelling (SEM) via Smart PLS 3.0 software were employed in this study. A total of 177 samples were deemed usable which resulted in an effective response rate of 16.93 percent. The current study clarifies how business intelligence systems adoption and information technology infrastructure both directly and indirectly predict innovation and performance outcomes. This research also highlighted the relationship between innovation and performance as moderation factors of competitive environment. The findings indicated that out of the 8 hypotheses inferred, 7 hypotheses were found to be supported, while one hypothesis was the contrary. The results obtained for the hypothesis depicted the positive significant relationship between business intelligence systems adoption and performance, information technology infrastructure and performance, business intelligence systems adoption and innovation, information technology infrastructure and innovation, and, innovation and performance, was supported (H1, H2, H3, H4, and H5). Innovation does partially mediate the relationship between business intelligence systems adoption and performance (H6), and also innovation does partially mediate the relationship between information technology infrastructure and performance (H7). Competitive environment does not moderate the relationship between innovation and performance (H8). This study proposed several practical suggestions to banking institutions on how employees can innovate when enhancing their business intelligence systems adoption and information technology infrastructure to improve performance among them. The management should provide a platform for the employees to enhance their innovativeness through the implementation of business intelligence systems adoption and information technology infrastructure. Furthermore, performance can be improved if the management focuses heavily on increasing innovation among employees. The major contribution of the current study is the proposed model for measuring the performance of banking institutions in Malaysia. The performance of these institutions is fundamental as they contribute significantly to the nation’s economy.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Anita, Ismail
author_facet Anita, Ismail
author_sort Anita, Ismail
title The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia
title_short The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia
title_full The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia
title_fullStr The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia
title_full_unstemmed The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia
title_sort relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in malaysia
granting_institution Universiti Utara Malaysia
granting_department School of Business Management
publishDate 2019
url https://etd.uum.edu.my/8079/1/s95704_01.pdf
https://etd.uum.edu.my/8079/2/s95704_02.pdf
_version_ 1747828318375247872
spelling my-uum-etd.80792021-11-23T07:10:16Z The relationship among business intelligence systems adoption, information technology infrastructure, innovation and competitive environment on performance of banks in Malaysia 2019 Anita, Ismail Bakar, Muhammad Shukri School of Business Management School of Business Management HF5001-6182 Business This study was conducted to determine the relationship by providing a framework that integrates business intelligence systems adoption, information technology infrastructure, innovation, competitive environment, and the performance of Malaysian banking institutions. This study focused on banks in Malaysia where the identified unit of analysis was the organisation represented by their managers. The views of knowledge-based, the resource-based theory and contingency theory were underpinned in this study. The Statistical Package for Social Science (SPSS) and Partial Least Squares (PLS) approach to structural equation modelling (SEM) via Smart PLS 3.0 software were employed in this study. A total of 177 samples were deemed usable which resulted in an effective response rate of 16.93 percent. The current study clarifies how business intelligence systems adoption and information technology infrastructure both directly and indirectly predict innovation and performance outcomes. This research also highlighted the relationship between innovation and performance as moderation factors of competitive environment. The findings indicated that out of the 8 hypotheses inferred, 7 hypotheses were found to be supported, while one hypothesis was the contrary. The results obtained for the hypothesis depicted the positive significant relationship between business intelligence systems adoption and performance, information technology infrastructure and performance, business intelligence systems adoption and innovation, information technology infrastructure and innovation, and, innovation and performance, was supported (H1, H2, H3, H4, and H5). Innovation does partially mediate the relationship between business intelligence systems adoption and performance (H6), and also innovation does partially mediate the relationship between information technology infrastructure and performance (H7). Competitive environment does not moderate the relationship between innovation and performance (H8). This study proposed several practical suggestions to banking institutions on how employees can innovate when enhancing their business intelligence systems adoption and information technology infrastructure to improve performance among them. The management should provide a platform for the employees to enhance their innovativeness through the implementation of business intelligence systems adoption and information technology infrastructure. Furthermore, performance can be improved if the management focuses heavily on increasing innovation among employees. The major contribution of the current study is the proposed model for measuring the performance of banking institutions in Malaysia. The performance of these institutions is fundamental as they contribute significantly to the nation’s economy. 2019 Thesis https://etd.uum.edu.my/8079/ https://etd.uum.edu.my/8079/1/s95704_01.pdf text eng public https://etd.uum.edu.my/8079/2/s95704_02.pdf text eng public phd doctoral Universiti Utara Malaysia Al-Quran Abramowsky, L., Griffith, R. (2006). Outsourcing and offshoring of business services: How important is ICT? Journal of the European Economic Association, 4(2-3), 594–601. Abd Aziz, Norzalita, & Mohd Yassin, Norjaya. (2010). Analysing the brand equity and resonance of banking services: Malaysia consumer perspective. International Journal of Marketing Studies, 2(2), 180-189. Acock, A. C. (2005). Working with missing values. Journal of Marriage and Family, 67(4), 1012-1028. Acs, Z. J., & Audretsch, D. B. (1989). Patents as a measure of innovative activity. Kyklos, 4 2 (2), 171–180. Adams, R., Bessant, J., & Phelps, R. (2006). Innovation management measurement: A review. International Journal of Management Reviews, 8(1), 21-47. Addicott, R., McGivern, G., & Ferlie, E. (2006). Networks, organizational learning and knowledge management: NHS cancer networks. Public Money and Management, 26(2), 87-94. Aghaei, M., & Asadollahi, A. (2013). Analysis of business intelligence on strategic decision making. International Journal of Scientific Management and Development. Vol.2 (1), 20-35, November (2013): 20-34. Aghion, P., and Howitt, P.W. (1992). A model of growth through creative destruction. Econometrica, 60(2): 323-51. Ahuja, G., & Katila, R. (2001). Technological acquisitions and the innovation performance of acquiring firms: A longitudinal study. Strategic Management Journal, 2 2 (3), 197-220. Akbaba, A. (2006). Measuring service quality in the hotel industry: A study in a business hotel in Turkey. International Journal of Hospitality Management, 25(2), 170-192. Akgün, A. E., Ince, H., Imamoglu, S. Z., Keskin, H., & Kocoglu, İ. (2014). The mediator role of learning capability and business innovativeness between total quality management and financial performance. International Journal of Production Research, 52(3), 888-901. Alam, I. & Perry, C. (2002). A customer-oriented new service development process. Journal of Services Marketing, 16(6), 515-534. Alavi, M., & Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 107-136. Albright, S. C., W.L. Winston & C. Zappe (2003). Data analysis and decision making with Microsoft excel. United States of America: Thomson Learning. Alegre, J., & Chiva, R. (2013). Linking entrepreneurial orientation and firm performance: The role of organizational learning capability and innovation performance. Journal of Small Business Management, 51(4), 491-507. Al-Laham, A., Schweizer, L., & Amburgey, T. L. (2010). Dating before marriage? Analyzing the influence of pre-acquisition experience and target familiarity on acquisition success in the “M&A as R&D” type of acquisition. Scandinavian Journal of Management, 26(1), 25-37. Al-Mansour AH (2007). Application of TQM to financial services. http://faculty.kfupm.edu.sa/CEM/bushait/cem515/term-papers/TQM-Finance.pdf Alpar, P., & Kim, M. (1990). A microeconomic approach to the measurement of information technology value. Journal of Management Information Systems, 7(2), 55-69. Al-Swidi, A.K. & Mahmood, R. (2011). How does organizational culture shape the relationship between entrepreneurial orientation and the organizational performance of banks? European Journal of Social Sciences, 20(1), 28-46. Al-Swidi, A. K., & Al-Hosam, A. (2012). The effect of entrepreneurial orientation on the organizational performance: A study on the Islamic banks in Yemen using the Partial Least Squares approach. African Journal of Business Management, 2(1), 73–84. doi:10.12816/0002244 Alter, A. (2004). A work system view of DSS in its fourth decade. Decision Support Systems, 38 (3), 319-327. Amabile, T.M., Conti R., Coon, H., Lazenby J., & Herron, M., (1996). Assessing the work environment for creativity. Academy of Management Journal, Vol. 39: 54-84. Ambad, S. N. A (2014). Corporate entrepreneurship as a determinant of large firm performance: Evidence from Malaysia (Doctoral dissertation). Universiti Sains Islam Malaysia. Ambad, S. N. A., & Wahab, K. A. (2013). Entrepreneurial orientation among large firms in Malaysia: Contingent effects of hostile environments. International Journal of Business and Social Science, 4(16). Amit, R. & P. J. H. Schoemaker. (1993). Strategic Assets and Organizational Rent. Strategic Management Journal. Vol. 14: p. 33-46. Amran, A., Lynn Ling, L., & Sofri, Y. (2007). A study of corporate philanthropic traits among major Malaysian corporations. Social Responsibility Journal, 3(4), 21-30. Anderson, J. and Gerbing, D. (1988). Structural Equation Modelling in practice: A review and recommended two-step approach. Psychological Bulletin, (103:3), pp. 411-23. Anning-Dorson, T. (2017). How much and when to innovate: The nexus of environmental pressures, innovation and service firm performance. European Journal of Innovation Management, 20(4), 599-619. Ansir Ali Rajput. (2011). Impact of Innovation and Resources in Entrepreneurial Success: A case study of Pakistani SMEs. Interdisciplinary Journal of Contemporary Research in Business 2, 606-636. Antony, J. P, & Bhattacharyya, S. (2010). Measuring organizational performance and organizational excellence of SMEs – Part 2: An empirical study on SMEs in India. Measuring Business Excellence, 14(3), 42-52. Aral, S., & Weill, P. (2007). IT assets, organizational capabilities, and firm performance: How resource allocations and organizational differences explain performance variation. Organization Science, 18(5), 763-780. Arias Aranda, D., & Molina-Fernández, L. M. (2002). Determinants of innovation through a knowledge-based theory lens. Industrial Management & Data Systems, 102(5), 289-296. Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 396-402. Armstrong, C. P. and Sambamurthy, V. (1999). Information technology assimilation in firms: the influence of senior leadership and IT infrastructures, MIS Quarterly, 104 304-327. Arthur, W. (1996). Increasing returns and the new world of business. Harvard Business Review, 100-109. Aruldoss, M., Lakshmi Travis, M., & Prasanna Venkatesan, V. (2014). A survey on recent research in business intelligence. Journal of Enterprise Information Management, 27(6), 831-866. Atkinson, P. & Hammersley, M. (1994). Ethnography and participant observation. In Denzin, N. K. and Lincoln, Y. S. (eds.) Handbook of qualitative research. Thousand Oaks: Sage Publications Inc. Atuahene-Gima, K. (1996). Differential potency of factors affecting innovation performance in manufacturing and services firms in Australia. Journal of Product Innovation Management, 13(1), 35-52. Atuahene-Gima, K. (2005). Resolving the capability–rigidity paradox in new product innovation. Journal of Marketing, 69(4), 61-83. Augusto, M., & Coelho, F. (2009). Market orientation and new-to-the-world products: Exploring the moderating effects of innovativeness, competitive strength, and environmental forces. Industrial Marketing Management, 38(1), 94-108. Avlonitis, G.J., Papastathopoulou, P. G. & Gounaris, S.P. (2001). An empirically based typology of product innovativeness for new financial services: Success and failure scenarios. Journal of Product Innovation Management, 18(5), 324-342. Azma, F., & Mostafapour, M. A. (2012). Business intelligence as a key strategy for development organizations. Procedia Technology, 1, 102-106. Azvine, B., Cui, Z., Nauck, D. D., & Majeed, B. (2006). Real time business intelligence for the adaptive enterprise. In The 8th IEEE International Conference on E- Commerce Technology and the 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06) (pp. 29-29). IEEE. Babbie, E. (1990). Survey research method. Belmont, CA: Wadsworth. Badr, A., Madden, E., & Wright, S. (2006). The contribution of CI to the strategic decision- making process: Empirical study of the European pharmaceutical industry. Baer, M., & Frese, M. (2003). Innovation is not enough: Climates for initiative and psychological safety, process innovations, and firm performance. Journal of Organizational Behaviour, 24(1), 45-68. Bakar, M.S. (2014), The mediating effect of intrapreneurial orientation on the relationship between leadership style, knowledge sharing behaviour and performance of academic leaders in Malaysia (Doctoral dissertation). Universiti Utara Malaysia. Baker, W. E., & Sinkula, J. M. (1999). The synergistic effect of market orientation and learning orientation on organizational performance. Journal of the Academy of Marketing Science, 27(4), 411-427. Bani, J. (2011). Assessing the relationships among information technology flexibility, IT-business strategic alignment, and information technology effectiveness: An investigation of business intelligence implementation (Doctoral dissertation). Capella University. Banu Goktan, A., & Miles, G. (2011). Innovation speed and radicalness: Are they inversely related? Management Decision, 49(4), 533-547. Barclay, D., C. Higgins & R. Thompson. (1995). The Partial Least Squares (PLS) Approach to Causal Modelling: Personal Computer Adoption and Use as an Illustration (Special Issue on Research Methodology). Technology Studies, Vol. 2. (2): p. 285–309. Barczak, G. (1995). New product strategy, structure, process and performance in the telecommunication industry. Journal of Product Innovation Management, 12(3), 224-234. Bardhan, A., & Jaffe, D. (2005). Innovation, R&D and Offshoring. Fisher Centre for Real Estate and Urban Economics, University of California, Berkeley. Baregheh, A., Rowley, J., & Sambrook, S. (2009). Towards a multidisciplinary definition of innovation. Management Decision, 47(8), 1323-1339. Barnet, V. & Lewis, T. (1994). Outliers in statistical data. John Wiley, ISBN 0-471-93094- 6, Chichester. Barney, J. B. (1986). Strategic factor markets: Expectations, luck, and business strategy. Management Science, 32(10), 1231-1241. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management. 17: 99-120. Barney, J. (2001). Resource-Based Theories of Competitive Advantage: A Ten-Year Retrospective on the Resource-Based View. Journal of Management, Vol. 27: p.643– 650. Barney, J. (2011). Gaining and Sustaining Competitive Advantage (4th ed.). New Jersey: Pearson Education. Baron RM, & Kenny D.A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal Personal Social Psychology, 51(6): 1173- 1182. Barrett, H., & Weinstein, A. (1998). The effect of marketing orientation and organizational flexibility on corporate entrepreneurship. Entrepreneurship: Theory & Practice, 23(Fall), 57-70. Barua, A., Kriebel, C. H., & Mukhopadhyay, T. (1995). Information technologies and business value: An analytic and empirical investigation. Information System Research, 6 (1), 3-23. Bates, R., & Khasawneh, S. (2005). Organizational learning culture, learning transfer climate and perceived innovation in Jordanian organizations. International Journal of Training and Development, 9(2), 96-109. Beik Zadeh, J., & Eskandari, K. (2009). Competitive Intelligence as a tool to support managers in decision-making processes. Journal of Management, No. 20, pp. 47- 51. Bergeron, P., & Hiller, C. A. (2002). Competitive intelligence. Annual Review of Information Science and Technology (Arist), 36, 353-90. Bergeron, P. and Hiller, C.A. (2002). Competitive intelligence. Annual Review of Information Science And Technology, Vol. 36, pp. 353-390. Berry, L.L., Shankar, V., Parish, J.T., Cadwallader, S. & Dotzel, T. (2006). Creating new markets through service innovation. Sloan Management Review, 47(2), 56-63. Bessen, J. E. (2006). The value of U.S. patents by owner and patent characteristics (Working Paper, No. 06-46). Boston: Boston University. Bessant, J. (2005). Enabling continuous and discontinuous innovation: Learning from the private sector. Public Money and Management, 25(1), 35-42. Bharadwaj, A. (2000). A Resource-Based perspective on information technology capability and firm performance: An empirical investigation. MIS Quarterly, 24, 169-196. Bharadwaj, A. S., Bharadwaj, S. G., & Konsynski, B. R. (1999). Information technology effects on firm performance as measured by Tobin's q. Management Science, 45(7), 1008-1024. Bhatt, G. D., & Grover, V. (2005). Types of information technology capabilities and their role in competitive advantage: An empirical study. Journal of Management Information Systems, 22(2), 253-277. Black, D. H., & Synan, C. D. (1997). The learning organisation: the sixth discipline? Management Accounting: Magazine for Chartered Management Accountants, 75(10), 70-72. Blazevic, V. & Lievens, A. (2004). Learning during the new financial service innovation process: antecedents and performance effects. Journal of Business Research, 57(4), 374-391. Blazevic, V., Lievens, A. & Klein, E. (2003). Antecedents of project learning and time-to- market during new mobile service development. International Journal of Service Industry Management, 14(1), 120-147. Blinder, A. S. (2006). Offshoring: the next industrial revolution? Foreign Affairs, 113-128. Blodgett A. (2004). The interaction of prosodic phrasing, verb bias, and plausibility during spoken sentence comprehension (Doctoral dissertation). Columbus: The Ohio State University. Bontis, N. (2002). Intellectual capital: an exploratory study that develops measures and models. In C.W. Choo & N. Bontis (eds). The strategic management of intellectual capital and organizational knowledge. New York: Oxford University Press. Bose, R. (2008). Competitive intelligence process and tools for intelligence analysis. Industrial Management and Data Systems, 108(4), 510-528. Bose, I., & Mahapatra, R. K. (2001). Business data mining - a machine learning perspective. Information and Management, 39(3), 211-225. Bourgeois, L. J. (1980). Strategy and environment: A conceptual integration. Academy of Management Review, 5(1), 25-39. Bourgeois III, L. J., & Eisenhardt, K. M. (1988). Strategic decision processes in high velocity environments: Four cases in the microcomputer industry. Management Science, 34(7), 816-835. Boyd, B.K., Dess, G.G., & Rasheed, A.M (1993). Divergence between archival and perceptual measures of the environment: Causes and consequences. Academy of Management Review, 18, 204-226. Boyne, G. A., & Meier, K. J. (2009). Environmental turbulence, organizational stability, and public service performance. Administration and Society, 40(8), 799-824. Bradshaw, P. (2009). A Contingency approach to non-profit governance. Non-profit Management & Leadership. Vol. 20. (1): p. 61-81. Bray, M. (2008). Middleware. Software Engineering Institute - Carnegie Mellon. Retrieved from http://www.sei.cmu.edu/str/descriptions/middleware.html Brazeal, D. V. (1993). Organizing for internally developed corporate ventures. Journal of Business Venturing, 8(1), 75-90. Bresman, H., Birkenshaw, J., & Nobel, R. (1999). Knowledge transfer in international acquisitions. Journal of International Business Studies, 30 ,439–462 Broadbent, M., & Weill, P. (1997). Management by maxim: how business and IT managers can create IT infrastructures. Sloan Management Review, 38, 77-92. Broadbent, M., Weill, P., O'Brian & Neo. (1996). Firm context and patterns of IT infrastructure capability, ICIS Proceedings, Cleveland, 1996:174-194. Brown, H. G. (2007). Ending the French revolution: Violence, justice, and repression from the terror to Napoleon. University of Virginia Press. Brown, S. L., & Eisenhardt, K. M. (1998). Competing on the edge: Strategy as structured chaos. Boston: Harvard Business School Press. Brudney, J. L. &V. Murray. (1997). Improving non-profit boards: What works and what doesn’t. Non-profit World. Vol. 15. (3): p. 11-17. Bruno, C., & Reinhilde, V. (2006). In search of complementarity in innovation strategy: Internal R&D and external knowledge acquisitions. Management Science, 5 2(1), 68-82. Bryman, A. (2008). Why do researchers integrate/combine/mesh/blend/mix/merge/fuse quantitative and qualitative research? Advances in Mixed Methods Research, 87- 100. Bryman, A., & Cramer, D. (1990). Quantitative data analysis for social scientists. Taylor & Frances/Routledge. Brynjolfsson, E. (1993). The productivity paradox of information technology. Communications of the ACM, 36(12), 66-77. Brynjolfsson, E., & Hitt, L. (1995). Information technology as a factor of production: The role of differences among firms. Economics of Innovation and New Technology, 3(3-4), 183-200. Brynjolfsson, E. & Hitt, L., (1996). Paradox lost? Firm-level evidence on the returns to information systems spending. Management Science, 42(4), 541-558. Brynjolfsson, E., & Schrage, M. (2009). The new, faster face of innovation. The Wall Street Journal. Bunyaratavej, K., Hahn, E. D., & Doh, J. P. (2007). International offshoring of services: A parity study. Journal of International Management, 13(1), 7-21. Burjatzky, F. (2007). Walden University, 146. http://doi.org/UMI : 3257958 Burns, T., & G. Stalker. (1961). The Management of Innovation. Chicago: Quandrangle Books. Burton, B. & Hostmann, B. (2005). Findings from Sydney symposium: Perceptions of business intelligence. Retrieved from Gartner database. Burton-Jones, A. & Straub, Jr. D. W. (2006). Reconceptualizing system usage: An approach and empirical test. Information Systems Research, 17(3), 228-246. Byrd, T.A. (2001). Information Technology, Core Competencies and Sustained Competitive Advantage. Information Resources Management Journal, (14:2), pp. 27-36. Byrd, T. A., & Davidson, N. W. (2006). An empirical examination of a process-oriented IT business success model. Information Technology and Management, 7(2), 55– 69. Byrd, T. A., & Marshall, T. E. (1997). Relating information technology investment to organizational performance: A causal model analysis. OMEGA International Journal of Management Science, 25(1), 43-56. Byrd, T. A., & Turner, D.E. (2000). Measuring the flexibility of IT infrastructure: Exploratory analysis of a construct. Journal of Management Information Systems, 17(1), 167-208. Byrd T. A. and Turner, D. E. (2001). An Exploratory Examination of the relationship between flexible IT infrastructure and competitive advantage. Information & Management, (39:1), pp. 41-52. Byrd, T. A., Pitts, J., Adrian, A., & Davidson, N. W. (2008). Examination of a path model relating IT infrastructure with firm performance. Journal of Business Logistics, 29(2), 161-187. Calantone, R.J., Cavusgil, S.T., & Zhao, Y. (2002). Learning Orientation, Firm Innovation Capability, and Firm Performance. Industrial Marketing Management, 2002, Vol. 31: 515-524. Camisón, C., & Villar-López, A. (2014). Organizational innovation as an enabler of technological innovation capabilities and firm performance. Journal of Business Research, 67(1), 2891-2902. Campbell, J. P. (1977). On the nature of organizational effectiveness. In P.S. Goodman, J. M. Pennings, & Associates (Eds.), New perspectives on organizational Effectiveness, (pp. 13-55). San Francisco: Jossey-Bass. Cappel, J. J., & Boone, J. P. (1995). A look at the link between competitive intelligence and performance. Competitive Intelligence Review, 6(2), 15-23. Carmeli, A. (2001). High-and low-performance firms: Do they have different profiles of perceived core intangible resources and business environment? Technovation, 21(10), 661-671. Carden, S. D. (2005). What global executives think about growth and risk? McKinsey Quarterly, 2, 16–25. Casado, E. (2004). Expanding business intelligence power with system dynamics. In Business intelligence in the Digital Economy: Opportunities, Limitations and Risks (pp. 126-140). IGI Global. Cavana, R.Y., B.L. Delahaye, & U. Sekaran. (2001). Applied Business Research: Qualitative and Quantitative Methods. Singapore: John Wiley & Sons. Cefis, E. and Marsili, O., (2003). Survivor: The role of innovation in firms’ survival. E.A.R.I.E. 2004 Conference Paper, DIW Berlin. Cefis, E., & Marsili, O. (2012). Going, going, gone. Exit forms and the innovative capabilities of firms. Research Policy, 41(5), 795-807. Cetorelli, N. (1999). Competitive Analysis in Banking: Appraisal of the Methodologies, Economic Perspectives, 23(1), 2-15. Campbell, J. P. (1977). On the Nature of Organizational Effectiveness. New Perspectives on Organizational Effectiveness, 13, 55. 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. Chanopas, A., Krairit, D., and Khang, D.B. (2006). Managing IT infrastructure: A New Flexibility Framework. Management Research News, (29:10), pp. 632- 651. Chari, M. D., Devaraj, S., & David, P. (2008). Research note - The impact of information technology investments and diversification strategies on firm performance. Management Science, 54(1), 224-234. Chatzoglou, P., & Chatzoudes, D. (2018). The role of innovation in building competitive advantages: An empirical investigation. European Journal of Innovation Management, 21(1), 44-69. Chen, X. (2012). Impact of business intelligence and IT infrastructure flexibility on competitive advantage: An organizational agility perspective (Doctoral dissertation). University of Nebraska. Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business Intelligence and Analytics. MIS Quarterly, 36(4), 1165–1188. Chen, X., & Siau, K. (2012). Effect of business intelligence and IT infrastructure flexibility on organizational agility. Knowledge Management and Business Intelligence, 1-11. Chen, R., Sun, C., Helms, M., & Jih, W. (2009). Factors influencing information system flexibility: An interpretive flexibility perspective. International Journal of Enterprise Information Systems, 5(1), 32-43. Chen, Y., Wang, Y., Nevo, S., Benitez-Amado, J., & Kou, G. (2015). IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity. Information & Management, 52(6), 643-657. Cheng, H., Lu, Y. C., & Sheu, C. (2009). An ontology-based business intelligence application in a financial knowledge management system. Expert Systems with Applications, 36(2), 3614-3622. Chesbrough, H., Vanhaverbeke, W., & West, J. (Eds.). (2006). Open Innovation: Researching a New Paradigm. Oxford: Oxford University Press. Cheung, M., Myers, M., & Mentzer, J. (2010). Does relationship learning lead to relationship value? A cross-national supply chain investigation. Journal of Operations Management, 28(6), 472-487. Child, J., L. Chung & H. Davies. (2003). The performance of cross-border units in china: A test of natural selection, strategic choice and contingency theories. Journal of International Business Studies. Vol. 34: p. 242–254. Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modelling. Chin, W. W. (2010). Chapter 28: How to write up and report PLS analyses. In Vinzi, V.E., W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications (p. 355-690): Springer. Chin, W. W. & P. R. Newsted. (1999). Structural Equation Modelling Analysis with small samples using Partial Least Squares. Statistical Strategies for small sample research. R. H. Hoyle. Thousand Oaks, CA, Sage Publications: 307-341. Chintrakarn, P. (2008). Estimating the euro effects on trade with propensity score matching. Review of International Economics, 16(1), 186-198. Chua, W. F. (1986). Radical developments in accounting thought. Accounting review, 601- 632. Chuang, S. H. (2004). A resource-based perspective on knowledge management capability and competitive advantage: an empirical investigation. Expert Systems with Applications, 27(3), 459-465. Chung, K., & Pruitt, S. (1994). A simple approximation of Tobin's q. Financial Management, 23 (3), 70-74. Chung, S. H., Rainer Jr, R. K., & Lewis, B. R. (2003). The impact of information technology infrastructure flexibility on strategic alignment and application implementations. Communications of the Association for Information Systems, 11(1), 11. Chung W., Zhang, Y., Huang, Z., Wang, G., Ong, T. and Chen H. (2004). Internet searching and browsing in a multilingual world: An experiment on the Chinese business intelligence portal (CbizPort). Journal of the American Society for Information Science and Technology, 55 (9), 818-831. Churchill Jr, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 64-73. Chyi Lee, C., & Yang, J. (2000). Knowledge value chain. Journal of management Development, 19(9), 783-794. Claver-Cortés, E., Pertusa-Ortega, E. M., & Molina-Azorín, J. F. (2012). Characteristics of organizational structure relating to hybrid competitive strategy: Implications for performance. Journal of Business Research, 65(7), 993-1002. Coakes, S. J., & Steed, L. G. (2003). Multiple response and multiple dichotomy analysis. SPSS: analysis without anguish: Version 11.0 for Windows, 215-224. Coakes, S. J. & L. Steed. (2007). SPSS: Analysis Without Anguish: Version 14.0 for Windows. Milton, Qld: John Wiley & Sons. Cohen, J. (1988). Statistical power analyses for the social sciences. Hillsdale, NJ, Lawrence Erlbauni Associates. Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Hillsdale, NJ: Erlbaum. Cohen, J. & P. Cohen. (1983). Applied Multiple Regression/Correlation Analysis for the Behavioural Sciences (2nd Edition ed.). Hillsdale, NJ: Erlbaum. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioural sciences (3rd ed.). Mahwah, NJ: Erlbaum. Conner, K. R., & Prahalad, C. K. (1996). A resource-based theory of the firm: Knowledge versus opportunism. Organization Science, 7(5), 477-501. Cooper, J. R. (1998). A multidimensional approach to the adoption of innovation. Management Decision, 36(8), 493-502. Cooper, D.R. & Schindler, P.S. (2003). Business Research Methods (Eighth ed.) Boston, MA: McGraw-Hill. Cooper, D.R. & Schindler, P.S. (2006). Business Research Method. New York: McGraw Hill. Corso, M., & Paolucci, E. (2001). Fostering innovation and knowledge transfer in product development through information technology. International Journal of Technology Management, 22(1-3), 126-148. Covin, J. G., & Miles, M. P. (1999). Corporate entrepreneurship and the pursuit of competitive advantage. Entrepreneurship: Theory and practice, 23(3), 47-47. Covin, J. & D. Slevin. (1989). Strategic Management of Small Firms in Hostile and Benign Environments. Strategic Management Journal. Vol. 10: p. 75-87. Crawford, M. C. & Di Benedetto, A. (2002). New Product Management, 7th edition, Boston, MA: McGraw Hill. Creswell, J.W. (2003) Research design: Qualitative, quantitative, and mixed methods approaches (2nd edition). Thousand Oaks, CA: Sage. Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications. Cronin, B., & Crawford, H. (1999a). Information warfare: Its application in military and civilian contexts. The Information Society, 15, 257-263. Cronin, B., & Crawford, H. (1999b). Raising the intelligence stakes: Corporate information warfare and strategic surprise. Competitive Intelligence Review,10(3), 58-66. Croteau, A. M., & Bergeron, F. (2001). An information technology trilogy: business strategy, technological deployment and organizational performance. The Journal of Strategic Information Systems, 10(2), 77-99. Crotty, M. (1998). The foundations of social research: Meaning and perspective in the research process. Sage. Cuyvers, L., Dumont, M., Viviers, W., De Pelsmacker, P., Muller, M. L., Jegers, M., & Saayman, A. (2008). Export intensity and the competitive intelligence of exporting companies: Evidence from South Africa. South African Journal of Economic and Management Sciences, 11(1), 85-97. Daft, R. L. (1978). A dual-core model of organizational innovation. Academy of Management Journal, 21(2), 193-210. Daft, R. L. (1983). Organization theory and design. New York: West. Daft, R.L. (1992), Organization theory and design, West Publishing Company, St. Paul. Daft, R.L. (2006). Organization theory and design. Cengage learning. Daft, R. L., & Becker, S. W. (1978). The innovative organization. NY: Elsevier. Daft, R. L., J. Sormunen & D. Park. (1988). Chief Executive scanning, al characteristics, and company performance: An empirical study. Strategic Management Journal. Vol. 9. (2): p. 123-139. Dainty, A. (2008). Methodological pluralism in construction management research. Advanced Research Methods in the Built Environment, 1, 1-13. Damanpour, F. (1987). The adoption of technological, administrative and ancillary innovation-impact of organizational factors. Journal of Management, 13(4), pp. 675-688. Damanpour, F. (1991). Organizational Innovation: A Meta-Analysis of Effects of Determinants and Moderators, Academy of Management Journal, Vol. 34 No.3, pp. 555-90 Duncan 1995. Damanpour, F. (1992). Organizational size and innovation. Organization Studies, 13(3), 375. Damanpour, F. (1996). Organizational complexity and innovation: Developing and testing multiple contingency models. Management Science, 42(5), 693-716. Damanpour, F., & Evan, W. M. (1984). Organizational innovation and performance: The problem of "organizational lag". Administrative Science Quarterly, 392-409. Damanpour, F., & Schneider, M. (2006). Phases of the adoption of innovation in organizations: effects of environment, organization and top managers 1. British Journal of Management, 17(3), 215-236. Damanpour, F., Szabat, K. A., & Evan, W. M. (1989). The relationship between types of innovation and organizational performance. Journal of Management Studies, 26(6), 587-602 Davenport, T. H. (1993). Process innovation: Reengineering work through information technology. Harvard Business Press. Davenport, T. H. (2006). Competing on analytics. Harvard Business Review, 84(1), 98. Davenport, T., & Linder, J. (1994). Information Management Infrastructure: the new competitive weapon? In HICSS (4) (pp. 885-896). Davenport, T.H. & Prusak, L. (1998) Working Knowledge: How organizations manage what they know. Boston: Harvard Business School Press. Davenport, T. H., & Short, J. E. (1990). The new industrial engineering: Information technology and business process redesign. Davern, M. J., & Kauffman, R. J. (2000). Discovering potential and realizing value from information technology investments. Journal of Management Information Systems, 16(4), 121-143. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, And User Acceptance of Information Technology. MIS Quarterly, 319-340. Dawes, J. (2008). Do data characteristics change according to the number of scale points used? An experiment using 5-point, 7-point and 10-point scales. International Journal of Market Research, 50(1), 61-104. Dawson, L., & Van Belle, J. P. (2013). Critical success factors in South African business intelligence projects in the insurance industry. In Refereed Proceedings Knowledge Management Conference June 26-28, 2013 Novi Sad, Serbia (p. 65). Decrop, A. (1999). Qualitative research methods for the study of tourist behaviour. Consumer Behaviour in Travel and Tourism, 335-365. Dehning, B., & Stratopoulos, T. (2002). DuPont analysis of an IT-enabled competitive advantage. International Journal of Accounting Information Systems, 3(3), 165- 176. Del Canto, J. G., & Gonzalez, I. S. (1999). A resource-based analysis of the factors determining a firm's R&D activities. Research Policy, 28(S), 891-905. Deloitte (2004) Employers Cite Rising Costs, Promoting Consumerism as Top Priorities for Benefit Plans in 2004, URL: http://www.deloitte.com/dtt/press_release/0,2309,sid%253D2283%2526cid%253 D38676,00.html, De Mel, S., McKenzie, D., & Woodruff, C. (2009). Innovative firms or innovative owners? Determinants of innovation in micro, small, and medium enterprises. The World Bank. Demirbag M. T., Tatoglu, E., Tekinus, M., & Zaim, S. (2006). An analysis of the relationship between TQM implementation and organizational performance: evidence from Turkish SMEs. Journal of Manufacturing Technology Management, 17(6), 829-847. Demirhan, D., Jacob, V. & Raghunathan, S. (2006). Information technology investment strategies under declining technology cost. Journal of Management Information Systems, 22(3), 321-350. Denzin, N. K., & Lincoln, Y. S. (1998). The landscape of qualitative research: Theories and issues (pp. 221-259). Thousand Oaks, CA: Sage. Department of Trade and Industry. (2003). Social enterprise: A progress report on social enterprise. UK: Department of Trade and Industry. http://www.dti.gov.uk Deshpandé, R., Farley, J. U., & Webster Jr, F. E. (1993). Corporate culture, customer orientation, and innovativeness in Japanese firms: A quadrat analysis. The Journal of Marketing, 23-37. Dess, G.G. & Beard, D.W. (1984). Dimensions of Organizational Task Environments, Administrative Science Quarterly, (29:1), pp. 52-73. Dess, G. G., & Robinson, R. B. (1984). Measuring organizational performance in the absence of objective measures: The case of the privately held firm and conglomerate business unit. Strategic Management Journal, 5(3), 265-273. Dess, G. G., Lumpkin, G. T., & Covin, J. G. (1997). Entrepreneurial strategy making and firm performance: Tests of contingency and configurational models. Strategic Management Journal, 18(9), 677-695. Dess, G. G., R. D. Ireland & M. A. Hitt (1990). Industry Effect and Strategic Management Research, Journal of Management, 16, pp. 7-27. Dess, G. G., Lumpkin, G. T., & McGee, J. E. (1999). Linking corporate entrepreneurship to strategy, structure, and process: Suggested research directions. Entrepreneurship Theory and Practice, 24(1), 85- 102. Devaraj, S., & Kohli, R. (2003). Performance impacts of information technology: Is actual usage the missing link? Management Science, 49(3), 273-289. Devinney, T. M. (1993). How well do patents measure new product activity? Economic Letters, 4 1 (4), 447-450. Dewett, T., & Jones, G. R. (2001). The role of information technology in the organization: A review, model, and assessment. Journal of Management, 27(3), 313-346. Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263-282. Dibrell, C., Craig, J. B., & Neubaum, D. O. (2014). Linking the formal strategic planning process, planning flexibility, and innovativeness to firm performance. Journal of Business Research, 67(9), 2000-2007. Dill, W. R. (1958). Environment as an influence on managerial autonomy. Administrative Science Quarterly, 409-443. Donaldson, L. (2001). The contingency theory of organizations. Thousand Oaks, CA, Sage. Dorson, T. A. (2018). Innovation and competitive advantage creation. International Marketing Review, 35(4), 580–600. Dosi, G. (1988). Sources, procedures and microeconomic effects of innovation. Journal of Economic Literature, 26, 1120–1171 Duncan, R. B. (1972). Characteristics of organizational environments and perceived environmental uncertainty. Administrative Science Quarterly, 313-327. Duncan, N. (1995). Capturing flexibility of IT infrastructure: A study of resource characteristics and their measure. Journal of Management Information System, (12:2), pp. 37-57. Dunn, G., Everitt, B. S., & Pickles, A. (1993). Modelling covariances and latent variables using EQS. CRC Press. Du Plessis, M. (2007). The role of knowledge management in innovation. Journal of Knowledge Management, 11(4), 20-29. Duysters, G., & Hagedoorn, J. (2001). Do company strategies and structures converge in global markets? Evidence from the computer industry. Journal of International Business Studies, 3 2 (2),347–356. Du Toit, A. S. (2003). Competitive intelligence in the knowledge economy: what is in it for South African manufacturing enterprises? International Journal of Information Management, 23(2), 111-120. Dwairi, M.A. (2004). The moderating roles of national culture and the country institutional profiles on the effect of market orientation and entrepreneurial orientation on the performance of banks in Jordan (Doctoral dissertation). Louisiana Tech University, US. Earl, M. J. (1989). Management strategies for information technology. Prentice-Hall, Inc. Easingwood, C. J. (1986). New product development for services companies. Journal of Product Innovation Management (4), 264-275. Eckerson, W. (2003). Smart companies in the 21st century: The secrets of creating successful business intelligence solutions. TDWI The Data Warehousing Institute Report Series, 1- 35. Retrieved from http://www.tdwi.org. Edwards, K. L., & Gordon, T. J. (1984). Characterization of innovations introduced on the US market in 1982. Futures Group; Reproduced by Ntis. Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 1105-1121. 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. doi:10.1016/j.accinf.2008.03.001 Elbashir, M.Z., Collier, P.A., & Sutton, S.G. (2011). The role of organizational absorptive capacity in strategic use of business intelligence to support integrated management control systems, The Accounting Review, (86:1), pp. 155-184. El Sawy, O.A. & Pavlou, P.A. (2008). IT-Enabled business capabilities for turbulent environments. MIS Quarterly Executive (7:3), pp. 139-150. Emmerich, W., Aoyama, M., & Sventek, J. (2007). The impact of research on middleware technology. ACM SIGSOFT Software Engineering Notes, 32(1), 21-46. Erdil, S., Erdil, O., & Keskin, H. (2004). The relationships between market orientation, firm innovativeness and innovation performance. Journal of Global Business and Technology, 1(1), 1-11. Ernst, D. (2002). Global production networks and the changing geography of innovation systems. Implications for developing countries. Economics of Innovation and New Technology, 11(6), 497–523. Ettlie, J. E., Bridges, W. P., & O'keefe, R. D. (1984). Organization strategy and structural differences for radical versus incremental innovation. Management Science, 30(6), 682-695. Ettlie, J. E., & Reza, E. M. (1992). Organizational integration and process innovation. Academy of Management Journal, 35(4), 795-827. Evangelista, R., Iammarino, S., Mastrostefano, V., Silvani, A. (2001). Measuring the regional dimension of innovation: Lessons from the Italian innovation survey. Technovation, Vol. 21: 733-745. Evelson, B., McNabb, K., Karel, R., & Barnett, J. (2007). It's time to reinvent your BI strategy. Intelligent Enterprise. Fabricio Salvador, C. F. (2004). Effective product assortment communication: Overcoming the product variety paradox on the net. IE Working Paper. Fahey, L. (1999), Competitors: outwitting, outmanoeuvring and outperforming. London, John Wiley and Sons, p. 44. Falk, R. F. & N. B. Miller. (1992). A primer for soft modelling. Akron, Ohio, Univ. of Akron Press. Fang, Y. H., & Chiu, C. M. (2010). In justice we trust: Exploring knowledge-sharing continuance intentions in virtual communities of practice. Computers in Human Behaviour, 26(2), 235-246. Fang, M., & Lin, F. (2006). Measuring the performance of ERP system-from the balanced scorecard perspectives. Journal of American Academy of Business, 10(1): 256-263. Farrell, M. A., Oczkowski, E., & Kharabsheh, R. (2008). Market orientation, learning orientation and organisational performance in international joint ventures. Asia Pacific Journal of Marketing and Logistics, 20(3), 289-308. Fedouaki, F., Okar, C., & El Alami, S. (2013). A maturity model for business intelligence system project in small and medium-sized enterprises: An empirical investigation. International Journal of Computer Science Issues, 10(6), 61. Ferreira, J. J., G.S. Azevedo & R. Fernández. (2011). Contribution of resource-based view and entrepreneurial orientation on small firm growth. Cuadernos de Gestión, Vol.11.(1): p.95-116, DOI: 10.5295/cdg.100185jf. Fichman, R. G. (2001). The role of aggregation in the measurement of information technology-related organizational innovation. Information Systems Quarterly, 25(4), 427-455. Fiedler, F. E. (1964). A contingency model of leadership effectiveness. In Advances in Experimental Social Psychology (Vol. 1, pp. 149-190). Academic Press. Field, A. (2009). Discovering statistics using SPSS. Sage publications. Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics: North American Edition. Sage. Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440- 452. Fornell, C. & D. F. Lacker. (1981). Evaluating Structural Equation Models with unobservable variables and measurement error. Journal of Marketing Research, Vol. 18: p. 39-50 Freel, M., & De Jong, J. P. (2009). Market novelty, competence-seeking and innovation networking. Technovation, 29(12), 873-884. Fuentes-Fuentes, M. M., Albacete-Sáez, C. A., & Lloréns-Montes, F. J. (2004). The impact of environmental characteristics on TQM principles and organisational performance. Omega, 32(6), 425-442. Fuld, L. (2010). The secret language of competitive intelligence: How to see through and stay ahead of business disruptions, distortions, rumours, and smoke screens. Crown Business. Gadrey, J., Gallouj, F., & Weinstein, O. (1995). New modes of innovation. International Journal of Service Industry Management, 6(3), 4-16. Galbraith, J. (1973). Designing complex organizations. Reading, MA: Addison-Wesley. Galbraith, J. (1977). Organizational Design. Reading, MA: Addision-Wesley. Gall, M. D., Borg, W. R., & Gall, J. P. (2003). Case study research. Educational research: An introduction, 123-163. Gallo, J. (2010). Who are the business intelligence leaders of tomorrow? Business Intelligence Journal, 14(4), 42-49. Gallouj, F., & Weinstein, O. (1997). Innovation in services. Research Policy, 26(4-5), 537- 556. Gambardella, A., Harhoff, D., & Verspagen, B. (2008). The value of European patents. European Management Review ,5 ,69-84. Gancia, G., & Zilibotti, F. (2005). Horizontal innovation in the theory of growth and development. Handbook of Economic Growth, 1, 111-170. Ganter, A., & Hecker, A. (2013). Deciphering antecedents of organizational innovation. Journal of Business Research, 66(5), 575-584. Garcia, R., & Calantone, R. (2002). A critical look at technological innovation typology and innovativeness terminology: A literature review. The Journal of Product Innovation Management, 19, 110-132. Garson, G. D. (2016). Partial least squares: Regression and structural equation models. Asheboro, NC: Statistical Associates Publishers. Gary M. Gaukler, O. O., Warren H. Hausman (2008). Order Progress Information: Improved Dynamic Emergency Ordering Policies. Production and Operations Management, 17(6), 599–613. Gartner. (2007). Gartner says more than 50 percent of data warehouse projects will have limited acceptance or will be failures through 2007. http://www. gartner.com/it/page.jsp?id=492112. Gartner. (2017). Gartner says worldwide business intelligence and analytics market to reach $18.3 billion in 2017. Gartner, Inc. from https://www.gartner.com/newsroom/id/361261 Gavrea, C., Ilies, L., & Stegerean, R. (2011). Determinants of organizational performance: The case of Romania. Management and Marketing, 6(2). George, D., & Mallery, P. (2001). SPSS for windows: 10.0 Update. Massachusetts: Allyn & Bacon, 84-87. Georgopoulos, B. S., & Tannenbaum, A. S. (1957). A study of organizational effectiveness. American Sociological Review, 22(5), 534-540. Gessner, G. H. & Volonino, L. (2005). Quick Response Improves Return on Business Intelligence Investments. Information Systems Management (22:3), pp. 66–74. Gibbons, R. (1992). A Primer in Game Theory. Harvester Wheatsheaf. Gilad, B. (2011). Strategy without intelligence, intelligence without strategy. Business Strategy Series, 12(1), 4-11. Gile, K., Kirby, J. P., Karel, R., Teubner, C., Driver, E. and Murphy, B. (2006). Topic overview: business intelligence. Retrieved from Forrester database Gilley, O. W., & Leone, R. P. (1991). A two-stage imputation procedure for item nonresponse in surveys. Journal of Business Research, 22(4), 281-291. Ginsberg, A. & N. Venkatraman. (1985). Contingency Perspectives of Organizational Strategy: A Critical Review of the Empirical Research. Academy of Management Review, Vol. 10. (3): p. 421-434. Global Intelligence Alliance. (2004). Introduction to competitive intelligence. GIA white paper, 1, 2004. Goldman, S. L., Nagel, R. N., & Preiss, K. (1995). Agile competitors and virtual organizations: Strategies for enriching the customer. New York, Van Nostrand Reinhold. Goles, T., & Hirschheim, R. (2000). The paradigm is dead, the paradigm is dead… long live the paradigm: the legacy of Burrell and Morgan. Omega, 28(3), 249-268. Gloet, M., & Terziovski, M. (2004). Exploring the relationship between knowledge management practices and innovation performance. Journal of Manufacturing Technology Management, 15(5), 402-409. Good, P.I. & Hardin, J.W. (2003). Common errors in statistics. New York: John Wiley. Gordon, S. (1993). Standardization of information systems and technology at multinational companies. Journal of Global Information Management (JGIM), 1(3), 5-15. Gorlenko, L., & Merrick, R. (2003). No wires attached: Usability challenges in the connected mobile world. IBM Systems Journal, 42(4), 639-651. Götz, G., (1999). Monopolistic competition and the diffusion of new technology. Rand Journal of Economics, 30(4), 679-693. Goulding, C. (1999). Consumer research, interpretive paradigms and methodological ambiguities. European Journal of Marketing, 33(9/10), 859-873. Gounaris, S. P., & Avlonitis, G. J. (2001). Market orientation development: a comparison of industrial vs consumer goods companies. Journal of Business & Industrial Marketing, 16(5), 354-381. Grant, R. M. (1991). The Resource-Based Theory of Competitive Advantage: Implications for Strategy Formulation. California Management Review. Vol. 33. (3): p. 114-135. Grant, R. M. (1996). Toward a knowledge‐based theory of the firm. Strategic Management Journal, 17(S2), 109-122. Gray, W. B., & Shadbegian, R. J. (2003). Plant vintage, technology, and environmental regulation. Journal of Environmental Economics and Management, 46(3), 384-402. Green, S. G., Gavin, M. B., & Aiman-Smith, L. (1995). Assessing a multidimensional measure of radical technological innovation. IEEE Transactions on Engineering Management, 42(3), 203-214. Griliches, Z. (1998). R & D and productivity: The econometric evidence. Chicago: The University of Chicago Press. Grooms, T. F. (2001). Marketing intelligence: executive management perceptions of value (Doctoral dissertation). Brunel University. Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. Handbook of Qualitative Research, 2(163-194), 105. Gunday, G., Ulusoy, G., Kilic, K., & Alpkan, L. (2011). Effects of innovation types on firm performance. International Journal of Production Economics, 133(2), 662- 676. Gunnar Stefansson, K. L. (2009). Performance issues of Smart Transportation Management systems. International Journal of Productivity and Performance Management, 58(1), 58 Gupta, A.K. & Govindarajan, V. (1984). Business unit strategy, managerial characteristics and business unit effectiveness at strategy implementation. The Academy of Management Journal, 27(1), 25-41. Gustafson, L. T. & Reger, R. K. (1995). Using organizational identity to achieve stability and change in high velocity environments. In Academy of Management Proceedings (Vol. 1995, No. 1, pp. 464-468). Academy of Management. Haenlein, M., & Kaplan, A. M. (2004). A beginner's guide to partial least squares analysis. Understanding Statistics, 3(4), 283-297. Hagedoorn, J. & Cloodt, M. (2003). Measuring innovative performance: Is there an advantage in using multiple indicators? Research Policy, 3 2 (8), 1365–1379. Haines, J. D. (2004). Managing Technological Innovation for Competitive Advantage: A Framework for Assessing the Relative Importance of the Components of Technology Utilized for Specific Activities within an Organization Dissertation Research Project Present. Hair Jr, J. F. (2007). Knowledge creation in marketing: The role of predictive analytics. European Business Review, 19(4), 303-315. Hair, Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1992). Multivariate data analysis with readings (3rd ed.). New York, NY: Macmillan Publishing Company. Hair, J. F., Anderson, R. E. Tatham, R.L., & Black W. C. (2005). Multivariate data analysis. Hair, J. F., Black, W.C., Babin, J. B., & Anderson, E.R. (2010). Multivariate data analysis. Upper Saddle River; New Jersey, Pearson Education, Inc. Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modelling (PLS-SEM). Sage publications. Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modelling (PLS-SEM). Sage Publications. Hair, J.F., A.H. Money, P. Samouel, & M. Page. (2007). Research methods for business. Chichester: John Wiley & Sons. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modelling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1-12. Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modelling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433. Hall, B. H., Jaffe, A., & Trajtenberg, M. (2005). Market value and patent citations. Rand Journal of Economics, 3 6 (1), 16-38. Hameed, I. & B. Ali. (2011). Impact of entrepreneurial orientation, entrepreneurial management and environmental dynamism on firm’s financial performance. Journal of Economics and Behavioural Studies. Vol. 3. (2): p. 101-114. Hamel, G., & Prahalad, C. K. (1994). Competing for the Future. Harvard Business Review, 72(4), 122-128. Han, J. K., Kim, N., & Srivastava, R. K. (1998). Market orientation and organizational performance: is innovation a missing link? Journal of Marketing, 62(4), 30-45. Hana, U. (2013). Competitive advantage achievement through innovation and knowledge. Journal of Competitiveness, 5(1), 82–96. Hannan, T.H. and McDowell, J.M., (1990). The impact of technology adoption on market structure. Review of Economics and Statistics, 72, 164-168. Hanvanich, S., Sivakumar, K., & Hult, G. T. M. (2006). The relationship of learning and memory with organizational performance: The moderating role of turbulence. Journal of the Academy of Marketing Science, 34(4), 600. Harhoff, D., Narin, F., Scherer, F.M., & Vopel, K. (1999). Citation frequency and the value of patented inventions. The Review of Economics and Statistics, 81 (3), 511–515. Harmsen, H., Grunert, K.G., & Declerck, F. (2000). Why Did We Make That Cheese? An Emprically Based Framework for Understanding What Drives Innovation Activity? R&D Management, Vol. 30: 151-166. Hashi, I., & Stojčić, N. (2013). The impact of innovation activities on firm performance using a multi-stage model: Evidence from the Community Innovation Survey 4. Research Policy, 42(2), 353-366. Hawker, D. S., & Boulton, M. J. (2000). Twenty years' research on peer victimization and psychosocial maladjustment: A meta-analytic review of cross-sectional studies. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 41(4), 441- 455. Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408-420. Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: Methodology in the social sciences. Kindle Edition, 193. Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67(3), 451-470. Hayes, A. F., & Rockwood, N. J. (2017). Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. Behaviour Research and Therapy, 98, 39-57. Hayes, A. F., & Scharkow, M. (2013). The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: Does method really matter? Psychological Science, 24(10), 1918-1927. He, W., & Wei, K. K. (2009). What drives continued knowledge sharing? An investigation of knowledge-contribution and-seeking beliefs. Decision Support Systems, 46(4), 826-838. Healy, M., & Perry, C. (2000). Comprehensive criteria to judge validity and reliability of qualitative research within the realism paradigm. Qualitative Market Research: An International Journal, 3(3), 118-126. Hegde, D., & Sampat, B. (2009). Examiner citations, applicant citations, and the private value of patents. Economics Letters,105 (3), 287-289. Henderson, R., & Cockburn, I. (1994). Measuring competence? Exploring firm effects in pharmaceutical research. Strategic Management Journal, (Special issue winter) 15, 63–84. Henderson, J. C., & Venkatraman, H. (1999). Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal, 38(2.3), 472-484. Herrmann, A., Tomczak, T., & Befurt, R. (2006). Determinants of radical product innovations. European Journal of Innovation Management, 9(1), 20-43. Henseler, J., C.M. Ringle & R.R. Sinkovics. (2009). The use of partial least squares path modelling in international marketing. Advances in International Marketing. Vol. 20. P.277-319. Herschel, R. T., & Jones, N. E. (2005). Knowledge management and business intelligence: The importance of integration. Journal of Knowledge Management, 9(4), 45-55. Hernando, I., & Núñez, S. (2004). The contribution of ICT to economic activity: A growth accounting exercise with Spanish firm-level data. Investigaciones Económicas, 28(2). Hertog, P. D. (2000). Knowledge-intensive business services as co-producers of innovation. International Journal of Innovation Management, 4(04), 491-528. Hitt, L. and Brynjolfsson, E. (1996). Productivity, business profitability, and consumer surplus: Three different measures of information technology value. Management Information Systems Quarterly, 20(2), 121-142. Hitt, M. A., Hoskisson, R. E., Johnson, R. A., & Moesel, D. D. (1996). The market for corporate control and firm innovation. The Academy of Management Journal, 3 9 (5), 1084–1119. Hipp, C., Tether, B. S., & Miles, I. (2000). The incidence and effects of innovation in services: evidence from Germany. International Journal of Innovation Management, 4(04), 417-453. Hou, C.-K. (2012). Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan’s electronics industry. International Journal of Information Management, 32(6), 560–573. http://doi.org/10.1016/j.ijinfomgt.2012.03.001. Hou, K., Xue, C., & Zhang, L. (2015). Digesting anomalies: An investment approach. The Review of Financial Studies, 28(3), 650-705. Hough, J. R., & White, M. A. (2003). Environmental dynamism and strategic decision‐ making rationality: An examination at the decision level. Strategic Management Journal, 24(5), 481-489. Howson, C. (2007). Successful business intelligence. Tata McGraw-Hill Education. Hribar Rajterič, I. (2010). Overview of business intelligence maturity models. Management: Journal of Contemporary Management Issues, 15(1), 47-67. Hsu, P. H., Lee, H. H., Liu, A. Z., & Zhang, Z. (2015). Corporate innovation, default risk, and bond pricing. Journal of Corporate Finance, 35, 329-344. Huang, C. T., & Tsai, K. H. (2014). Synergy, environmental context, and new product performance: A review based on manufacturing firms. Industrial Marketing Management, 43(8), 1407-1419. Huck, S. W., & Comer, W. H. (2004). Reliability and validity. Reading statistics and research. Boston: Pearson Education, 75-98. Hughes, J. (2005). Bringing emotion to work: Emotional intelligence, employee resistance and the reinvention of character. Work, Employment and Society, 19(3), 603-625. Huiban, J. P., & Bouhsina, Z. (1998). Innovation and the quality of labour factor: An empirical investigation in the French food industry. Small Business Economics, W(A), 389-100. Hult G.T. M., R.F. Hurley & G.A. Knight. (2004). Innovativeness: Its antecedents and impact on business performance. Industrial Marketing and Management. Vol. 33: p. 429-438. Hunton, J. E., Lippincott, B., & Reck, J. L. (2003). Enterprise resource planning systems: comparing firm performance of adopters and nonadopters. International Journal of Accounting Information Systems, 4(3), 165-184. Hurley, R.F., Hult, G.T.M., (1998). Innovation, market orientation and organizational learning: an integration and empirical examination. Journal of Marketing, Vol. 62: 42-54. Hussein, Rezaie Dollatabady, Farzaneh, Ghandehari, & Amiri, Farham. (2011). Analyzing the impact of competitive intelligence on innovation at scientific research centers In Isfahan science and technology town. Interdisciplinary Journal of Contemporary Research in Business, 3(5), 940-948. Ifinedo, P. (2011). An empirical analysis of factors influencing internet/e-business technologies adoption by SMEs in Canada. International Journal of Information Technology & Decision Making, 10(04), 731-766. Irani, Z., & Love, P. E. (2000). The propagation of technology management taxonomies for evaluating investments in information systems. Journal of Management Information Systems, 161-177. Isik, O. (2010). Business intelligence success: An empirical evaluation of the role of BI capabilities and the decision environment (Doctoral dissertation). University of North Texas. Işik, Ö., Jones, M. C., & Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information and Management, 50(1), 13–23. http://doi.org/10.1016/j.im.2012.12.001 Jackson, C. (1989). Building a competitive advantage through information technology. Long Range Planning, 22(4), 29-39. Jaffe, A., Trajtenberg, M., & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. Quarterly Journal of Economics, 1 0 8 (3), 577–598. Jaharuddin, N.S., (2012). Supply chain intelligence and its impact on competitive strategy and performance of business in Malaysia (Doctoral dissertation). Universiti Putra Malaysia. Jaharuddin, N. S., Mohamed, Z. A., & Sambasivan, M. (2014). Supply chain intelligence and its impact on business performance. International Journal of Economics and Management (IJEM), 8, 177-205. Jaharuddin, N. S., Mohamed, Z. A., & Sambasivan, M. (2015). Supply chain intelligence in business organisations: A Malaysian perspective. Pertanika Journal of Social Sciences & Humanities, 23. Jansen, J. J., Van Den Bosch, F. A., & Volberda, H. W. (2006). Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators. Management Science, 52(11), 1661-1674. Jarvenpaa, S. L., Dickson, G. W., & DeSanctis, G. (1985). Methodological issues in experimental IS research: experiences and recommendations. MIS Quarterly, 141- 156. Jaworski, B., & Wee, L. C. (1993). Competitive Intelligence: Creating value for the organization. Final Report. Society of Competitive Intelligence Professionals. Virginia. Jaworski B. J. & Kohli, A. K. (1993). Market orientation: Antecedents and consequences. Journal of Marketing, (57), pp. 53-70. Jaworski, B. J., Macinnis, D. J., & Kohli, A. K. (2002). Generating competitive intelligence in organizations. Journal of Market-Focused Management, 5(4), 279-307. Jing, F. F., & Avery, G. C. (2008). Missing links in understanding the relationship between leadership and organizational performance. International Business and Economics Research Journal, 7(5), 67-78. Jogaratnam, G. & E.C.Y. Tse. (2006). Entrepreneurial orientation and the structuring of organizations performance evidence from the Asian hotel industry. International Journal of Contemporary Hospitality Management, Vol. 18: p. 454-468. Joglekar, N. R. & Yassine, A. (2002). Management of information technology driven product development processes. In T. Boone & R. Ganeshan (Eds.), New Directions in Supply-Chain Management. (pp. 125-152) New York, NY: Amacon Press. Johannesson, J. & Palona, I. (2010). Environmental turbulence and the success of a firm’s intelligence strategy: Development of research instruments. International Journal of Management, (27:3), pp. 448-458. Johnson, T., P. Kulesa, I. Llc, Y.I. Cho & S. Shavitt. (2005). The relation between culture and response styles: Evidence from 19 countries. Journal of Cross- Cultural Psychology, p. 36-264. Jokipii, A. (2010). Determinants and consequences of internal control in firms: A contingency theory-based analysis. Journal of Management and Governance, 14(2), 115-144. Jones, J., & Linderman, K. (2014). Process management, innovation and efficiency performance: The moderating effect of competitive intensity. Business Process Management Journal, 20(2), 335-358. Jöreskog, K. G. (1978). Structural analysis of covariance and correlation matrices. Psychometrika, 43(4), 443-477. Jorfi, S., Nor, K. M., & Najjar, L. (2011). The relationships between IT flexibility, IT- Business strategic alignment, and IT capability. International Journal of Managing Information Technology, 3(1), 16-31. Josh, L., & Julie, W. (2007). Innovation and incentives: Evidence from corporate R&D. Review of Economics & Statistics, 8 9 (4), 634-644. Jourdan, Z., Rainer, R. K. and Marshall, T. E. (2008). Business intelligence: An analysis of the literature. Information Systems Management, 25 (2), 121–131. Julio, A. (2008). The relationship among environmental turbulence, information technology convergence, strategic innovation management and overall performance: A cross border case (Doctoral dissertation). Alliant International University. Jusoh, D., Ibrahim, N., & Zainuddin, Y. (2008). The performance consequence of multiple performance measures Usage: Evidence from the Malaysian manufacturers. International Journal of Productivity and Performance Management, 57(2), 119- 136. Kahaner, L. (1996). The basics of competitive intelligence. Competitive Intelligence: How to gather analyse and use information to move your business to the top. New York: Simon & Schuster. Kalton, G. (1968). Standardization: A technique to control for extraneous variables. Journal of the Royal Statistical Society: Series C (Applied Statistics), 17(2), 118- 136. Kamal, M. M. (2006). IT innovation adoption in the government sector: Identifying the critical success factors. Journal of Enterprise Information Management, 19(2), 192-222. Kam-Sing Wong, S. (2014). Impacts of environmental turbulence on entrepreneurial orientation and new product success. European Journal of Innovation Management, 17(2), 229-249. Kaplan, R. S., & Norton, D. P. (1996). Linking the balanced scorecard to strategy. California Management Review, 39(1), 53-79. Karagozoglu, N. & Brown, W. B. (1993). Time-based management of the new product development process. Journal of Product Innovation Management, 10(3), 204-215. Karacaoglu, K., Bayrakdaroglu, A., & San, F. B. (2012). The impact of corporate entrepreneurship on firms’ financial performance: Evidence from Istanbul stock exchange firms. International Business Research, 6(1), 163. Karaev, A., Lenny Koh, S. C., & Szamosi, L. T. (2007). The cluster approach and SME competitiveness: a review. Journal of Manufacturing Technology Management, 18(7), 818-835. Karanja, E. (2011). The mediating effect of innovation on the relationship between information technology investments and firm performance: An empirical study. Morgan State University. Kasasbeh, E. A., Harada, Y., & Noor, I. M. (2017). Factors influencing competitive advantage in banking sector: A systematic literature review. Research Journal of Business Management, 11(2), 67-73. Karki, M. M. S. (1997). Patent citation analysis: A policy analysis tool. World Patent Information, 1 9 (4),269–272. Katila, R., & Chen, E. (2009). Effects of search timing on product innovation: The value of not being in sync with rivals. Administrative Science Quarterly, 5 3 (4), 593-625.

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