- Akter, S., Mccarthy, G., Sajib, S., Michael, K., Dwivedi, Y. K., D’ambra, J., & Shen, K. N. (2021). Algorithmic bias in data-driven innovation in the age of AI. International Journal of Information Management, 60, 102387.
Paper not yet in RePEc: Add citation now
Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113–131.
Ali, M. M., Babai, M. Z., Boylan, J. E., & Syntetos, A. A. (2017). Supply chain forecasting when information is not shared. European Journal of Operational Research, 260(3), 984–994.
- Antonelli, C., & Fassio, C. (2016). The role of external knowledge(s) in the introduction of product and process innovations. R&D Management, 46(S3), 979–991.
Paper not yet in RePEc: Add citation now
- Babu, M. M., Rahman, M., Alam, A. & Dey, B. L. (2021). Exploring big data-driven innovation in the manufacturing sector: Evidence from UK firms. Annals of Operations Research.
Paper not yet in RePEc: Add citation now
Bai, C., & Sarkis, J. (2016). Supplier development investment strategies: A game theoretic evaluation. Annals of Operations Research, 240, 583–615.
Baldwin, C., Hienerth, C., & von Hippel, E. (2006). How user innovations become commercial products: A theoretical investigation and case study. Research Policy, 35(9), 1291–1313.
- Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163, 120447.
Paper not yet in RePEc: Add citation now
Bellantuono, N., Giannoccaro, I., Pontrandolfo, P., & Tang, C. S. (2009). The implications of joint adoption of revenue sharing and advance booking discount programs. International Journal of Production Economics, 121(2), 383–394.
Bendle, N. T., & Wang, X. S. (2016). Uncovering the message from the mess of big data. Business Horizons, 59(1), 115–124.
- Boiten, E. A. (2016). Big Data Refinement. arXiv:1606.02017 .
Paper not yet in RePEc: Add citation now
Brynjolfsson, E., & Mcelheran, K. (2016). The rapid adoption of data-driven decision-making. American Economic Review, 106(5), 133–139.
- Chatterjee, S., Chaudhuri, R., Shah, M., & Maheshwari, P. (2022). Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario: Moderating role of SME technology leadership. Computers & Industrial Engineering, 168, 108058.
Paper not yet in RePEc: Add citation now
Chen, F., Lai, G., & Xiao, W. (2016a). Provision of incentives for information acquisition: Forecast-based contracts vs. menus of linear contracts. Management Science, 62(7), 1843–2147.
Chen, W., Niebel, T., & Saam, M. (2016b). Are intangibles more productive in ICT-intensive industries? Evidence from EU countries. Telecommunications Policy, 40(5), 471–484.
- Cheng, C. C. J., Yang, C., & Sheu, C. (2016). Effects of open innovation and knowledge-based dynamic capabilities on radical innovation: An empirical study. Journal of Engineering and Technology Management, 41, 79–91.
Paper not yet in RePEc: Add citation now
Chu, L. Y., Shamir, N., & Shin, H. (2017). Strategic communication for capacity alignment with pricing in a supply chain. Management Science, 63(12), 4366–4388.
Ciampi, F., Demi, S., Magrini, A., Marzi, G., & Papa, A. (2021). Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation. Journal of Business Research, 123, 1–13.
Corrado, C., Haskel, J., & Lasinio, C. J. (2017). Knowledge spillovers, ICT and productivity growth. Oxford Bulletin of Economics and Statistics, 79(4), 592–618.
Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379–390.
- Davenport, T. H. & Patil, D. J. (2012). Data scientist: The sexiest job of the 21st century. Harvard Business Review, 90(10), 70–76, 128.
Paper not yet in RePEc: Add citation now
- Davenport, T. H., Barth, P., & Bean, R. (2012). How “Big Data” is different. MIT Sloan Management Review, 54(1), 43–46.
Paper not yet in RePEc: Add citation now
- Del Vecchio, P., Di Minin, A., Petruzzelli, A. M., Panniello, U., & Pirri, S. (2018). Big data for open innovation in SMEs and large corporations: Trends, opportunities, and challenges. Creativity and Innovation Management, 27(1), 6–22.
Paper not yet in RePEc: Add citation now
- Dong, J. Q., & Yang, C.-H. (2020). Business value of big data analytics: A systems-theoretic approach and empirical test. Information & Management, 57(1), 103124.
Paper not yet in RePEc: Add citation now
Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897–904.
Feng, Q., & Shanthikumar, J. G. (2018). How research in production and operations management may evolve in the era of big data. Production and Operations Management, 27(9), 1670–1684.
- Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big data analytics capabilities and knowledge management: Impact on firm performance. Management Decision, 57(8), 1923–1936.
Paper not yet in RePEc: Add citation now
- Fosso Wamba, S., & Akter, S. (2019). Understanding supply chain analytics capabilities and agility for data-rich environments. International Journal of Operations & Production Management, 39(6/7/8), 887–912.
Paper not yet in RePEc: Add citation now
Fosso Wamba, S., Gunasekaran, A., Dubey, R., & Ngai, E. W. T. (2018). Big data analytics in operations and supply chain management. Annals of Operations Research, 270(1–2), 1–4.
- Friedl, G., & Wagner, S. M. (2016). Supplier development investments in a triadic setting. IEEE Transactions on Engineering Management, 63(2), 136–150.
Paper not yet in RePEc: Add citation now
- Fusfeld, H. I., & Haklisch, C. S. (1985). Cooperative R&D for competitors. Harvard Business Review, 63(6), 60–76.
Paper not yet in RePEc: Add citation now
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144.
- Ge, Z., Hu, Q., & Xia, Y. (2014). Firms’ R&D cooperation behavior in a supply chain. Production and Operations Management, 23(4), 599–609.
Paper not yet in RePEc: Add citation now
- George, G., Osinga, E. C., Lavie, D., & Scott, B. A. (2016). Big data and data science methods for management research. Academy of Management Journal, 59(5), 1493–1507.
Paper not yet in RePEc: Add citation now
- Ghasemaghaei, M. (2019). Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency. Decision Support Systems, 120, 14–24.
Paper not yet in RePEc: Add citation now
Ghasemaghaei, M., & Calic, G. (2019). Does big data enhance firm innovation competency? The mediating role of data-driven insights. Journal of Business Research, 104, 69–84.
Ghoshal, A., Kumar, S., & Mookerjee, V. (2020). Dilemma of data sharing alliance: when do competing personalizing and non-personalizing firms share data. Production and Operations Management, 29(8), 1918–1936.
- Gruner, R. L., Homburg, C., & Lukas, B. A. (2014). Firm-hosted online brand communities and new product success. Journal of the Academy of Marketing Science, 42, 29–48.
Paper not yet in RePEc: Add citation now
Guo, L. (2009). The benefits of downstream information acquisition. Marketing Science, 28(3), 403–615.
- Gupta, M., & George, J. F. (2016a). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064.
Paper not yet in RePEc: Add citation now
- Gupta, M., & George, J. F. (2016b). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064.
Paper not yet in RePEc: Add citation now
- Ha, A. Y., Tian, Q., & Tong, S. (2017). Information sharing in competing supply chains with production cost reduction. Manufacturing & Service Operations Management, 19(2), 246–262.
Paper not yet in RePEc: Add citation now
Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). 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, 154, 72–80.
Hazen, B. T., Skipper, J. B., Boone, C. A., & Hill, R. R. (2018). Back in business: Operations research in support of big data analytics for operations and supply chain management. Annals of Operations Research, 270(1–2), 201–211.
- He, J., & Liu, H. (2017). Mining exploratory behavior to improve mobile app recommendations. ACM Transactions on Information Systems, 35(4), 1–37.
Paper not yet in RePEc: Add citation now
- He, J., Fang, X., Liu, H., & Li, X. (2019). Mobile app recommendation: An involvement-enhanced approach. MIS Quarterly, 43(3), 827–849.
Paper not yet in RePEc: Add citation now
Hossain, M. A., Akter, S., & Yanamandram, V. (2020). Revisiting customer analytics capability for data-driven retailing. Journal of Retailing and Consumer Services, 56, 102187.
- Hsueh, J., Lin, N., & Li, H. (2010). The effects of network embeddedness on service innovation performance. Service Industries Journal, 30(10), 1723–1736.
Paper not yet in RePEc: Add citation now
Hu, B., Meng, C., Xu, D., & Son, Y. (2016d). Three-echelon supply chain coordination with a loss-averse retailer and revenue sharing contracts. International Journal of Production Economics, 179, 192–202.
- Knight, L., Tate, W. L., Matopoulos, A., Meehan, J., & Salmi, A. (2016). Breaking the mold: Research process innovations in purchasing and supply management. Journal of Purchasing and Supply Management, 22(4), 239–243.
Paper not yet in RePEc: Add citation now
Laursen, K., & Salter, A. J. (2014). The paradox of openness: Appropriability, external search and collaboration. Research Policy, 43(5), 867–878.
Li, L., Chi, T., Hao, T., & Yu, T. (2018). Customer demand analysis of the electronic commerce supply chain using Big Data. Annals of Operations Research, 268(1–2), 113–128.
Lin, C., & Kunnathur, A. (2019). Strategic orientations, developmental culture, and big data capability. Journal of Business Research, 105, 49–60.
Liu, P., & Yi, S. (2018a). Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era. Annals of Operations Research, 270(1–2), 255–271.
Liu, P., & Yi, S. (2018b). A study on supply chain investment decision-making and coordination in the Big Data environment. Annals of Operations Research, 270(1–2), 235–253.
Liu, Y., Soroka, A., Han, L., Jian, J., & Tang, M. (2020). Cloud-based big data analytics for customer insight-driven design innovation in SMEs. International Journal of Information Management, 51, 102034.
- Lozada, N., Arias-Pérez, J., & Perdomo-Charry, G. (2019). Big data analytics capability and co-innovation: An empirical study. Heliyon, 5(10), e02541.
Paper not yet in RePEc: Add citation now
- Lynn Wu, L. H. B. L. (2020). Data analytics, innovation, and firm productivity. Management Science, 66(5), 2017–2039.
Paper not yet in RePEc: Add citation now
- Mcafee, A. & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60–68,128.
Paper not yet in RePEc: Add citation now
- Menguc, B., Auh, S., & Yannopoulos, P. (2014). Customer and supplier involvement in design: The moderating role of incremental and radical innovation capability. Journal of Product Innovation Management, 31(2), 313–328.
Paper not yet in RePEc: Add citation now
- Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics capabilities and innovation: The mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management, 30(2), 272–298.
Paper not yet in RePEc: Add citation now
- Patrick Mikalef, M. B., Lekakos, G., & Krogstie, J. (2019). Big data analytics capabilities and innovation: The mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management, 30, 272–298.
Paper not yet in RePEc: Add citation now
- Piccarozzi, M., & Aquilani, B. (2022). The role of Big Data in the business challenge of Covid-19: A systematic literature review in managerial studies. Procedia Computer Science, 200, 1746–1755.
Paper not yet in RePEc: Add citation now
- Pigni, F., Piccoli, G., & Watson, R. (2016). Digital data streams: Creating value from the real-time flow of big data. California Management Review, 58(3), 5–25.
Paper not yet in RePEc: Add citation now
- Rahman, M. S., Hossain, M. A., & Abdel Fattah, F. A. M. (2021). Does marketing analytics capability boost firms’ competitive marketing performance in data-rich business environment? Journal of Enterprise Information Management, 35(2), 455–480.
Paper not yet in RePEc: Add citation now
- Rahman, M. S., Hossain, M. A., Fattah, F. A. M. A., & Akter, S. (2020). Optimizing competitive performance of service firms in data-rich environment. Journal of Service Theory and Practice, 30(6), 681–706.
Paper not yet in RePEc: Add citation now
- Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence: Closing the gap between ambition and action. Massachusetts Institute of Technology.
Paper not yet in RePEc: Add citation now
Sampson, R. C. (2004). Organizational choice in R&D alliances: Knowledge based and transaction cost perspectives. Managerial & Decision Economics, 25(6), 421–436.
Shin, H., & Tunca, T. (2010). Do firms invest in forecasting efficiently? The effect of competition on demand forecast investments and supply chain coordination. Operations Research, 58(61), 1592–1610.
- Shollo, A., & Galliers, R. D. (2016). Towards an understanding of the role of business intelligence systems in organisational knowing. Information Systems Journal, 26(4), 339–367.
Paper not yet in RePEc: Add citation now
- Skippari, M., Laukkanen, M., & Salo, J. (2017). Cognitive barriers to collaborative innovation generation in supply chain relationships. Industrial Marketing Management, 62, 108–117.
Paper not yet in RePEc: Add citation now
Stefansson, G. (2002). Business-to-business data sharing: A source for integration of supply chains. International Journal of Production Economics, 75(1), 135–146.
- Sultana, S., Akter, S. & Kyriazis, E. (2022b). Theorising data-driven innovation capabilities to survive and thrive in the digital economy. Journal of Strategic Marketing.
Paper not yet in RePEc: Add citation now
Sultana, S., Akter, S., & Kyriazis, E. (2022a). How data-driven innovation capability is shaping the future of market agility and competitive performance? Technological Forecasting & Social Change, 174, 121260.
- Sultana, S., Akter, S., Kyriazis, E., & Wamba, S. F. (2021). Architecting and developing big data-driven innovation (DDI) in the digital economy. Journal of Global Information Management, 29(3), 165–187.
Paper not yet in RePEc: Add citation now
Tan, K. H., Zhan, Y., Ji, G., Ye, F., & Chang, C. (2015). Harvesting big data to enhance supply chain innovation capabilities An analytic infra. International Journal of Production Economics, 165, 223–233.
Tang, W., & Girotra, K. (2017). Using advance purchase discount contracts under uncertain information acquisition cost. Production and Operations Management, 26(8), 1553–1567.
Taylor, T. A., & Xiao, W. (2009). Incentives for retailer forecasting: Rebates vs. returns. Management Science, 55(10), iv–1753.
Trigo, A., & Vence, X. (2012). Scope and patterns of innovation cooperation in Spanish service enterprises. Research Policy, 41(3), 602–613.
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365.
- Wei, Q., Qiao, D., Zhang, J., Chen, G., & Guo, X. (2016). A novel bipartite graph based competitiveness degree analysis from query logs. ACM Transactions on Knowledge Discovery from Data, 11(2), 1–25.
Paper not yet in RePEc: Add citation now
Williams, T. (2005). Cooperation by design: Structure and cooperation in interorganizational networks. Journal of Business Research, 58(2), 223–231.
- Wu, J. (2014). Cooperation with competitors and product innovation: Moderating effects of technological capability and alliances with universities. Industrial Marketing Management, 43(2), 199–209.
Paper not yet in RePEc: Add citation now
- Wu, J., Guo, S., Li, J., & Zeng, D. (2016). Big Data Meet Green Challenges: Greening Big Data. IEEE Systems Journal, 10(3), 873–887.
Paper not yet in RePEc: Add citation now
- Xie, K., Wu, Y., Xiao, J., & Hu, Q. (2016). Value co-creation between firms and customers: The role of big data-based cooperative assets. Information & Management, 53(8), 1034–1048.
Paper not yet in RePEc: Add citation now
Xu, Z., Frankwick, G. L., & Ramirez, E. (2016). Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective. Journal of Business Research, 69(5), 1562–1566.
- Yang, S., & Zhou, K. (2015). Management issues in big data : The resource-based view of big data. Journal of Management Sciences in China, 18(5), 1–8.
Paper not yet in RePEc: Add citation now
Yasmin, M., Tatoglu, E., Kilic, H. S., Zaim, S. & Delen, D. (2020). Big data analytics capabilities and firm performance: An integrated MCDM approach. Journal of Business Research, 114, 1–15.