How to cite this paper
Adaileh, M., Alrwashdeh, M., AlZeat, H & Almatarneh, N. (2022). The antecedents of supply chain performance: Business analytics, business process orientation, and information systems support.Uncertain Supply Chain Management, 10(2), 399-408.
Refrences
Adaileh, M., & Abualzeat, H. (2017). Impact of knowledge sharing and leakage on innovative performance. Journal of Sustainable Development, 10(1), 92-111.
Adaileh, M. J., & Elrehail, H. (2018). E-business supply chain collaboration measurement scale: a confirmatory approach. International Journal of Supply Chain Management, 7(5), 22-34.
Alshanty, A., Emeagwali, O., Ibrahim, B., & Alrwashdeh, M. (2019). The effect of market-sensing capability on knowledge creation process and innovation Evidence from SMEs in Jordan. Management Science Letters, 9(5), 727-736.
Alrwashdeh, M., Jahmani, A., Ibrahim, B., & Aljuhmani, H. Y. (2020). Data to model the effects of perceived telecommunication service quality and value on the degree of user satisfaction and e-WOM among telecommunications users in North Cyprus. Data in brief, 28, 104981.
Alrwashdeh, M., Emeagwali, O., & Aljuhmani, H. (2019). The effect of electronic word of mouth communication on purchase intention and brand image: An applicant smartphone brands in North Cyprus. Management Science Letters, 9(4), 505-518.
Alshammari, A.F., & Adaileh, M.J. (2018). E-Learning Readiness: A Scale Development in Saudi Higher Education Institutions. International Journal of Economic Management Science, 7, 553. doi: 10.4172/2162-6359.1000553
Amit, R., & Zott, C. (2016). Business model design: A dynamic capability perspective. In D. J. Teece, & S. Leih (Eds.), The Oxford handbook of dynamic capabilities (pp. 1–21). Oxford: OUP.
Anwar, M. (2018). Business model innovation and SMEs performance: Does competitive advantage mediate? International Journal of Innovation Management, 22(7), 1850057.
Auramo, J., Kauremaa, J., & Tanskanen, K. (2005); Benefits of IT in supply chain management: an explorative study of progressive companies. International Journal of Physical Distribution & Logistics Management, 35(2).
Bellos, I., Ferguson, M., & Toktay, L. B. (2017). The car sharing economy: Interaction of business model choice and product line design. Manufacturing & Service Operations Management, 19(2), 185–201.
Benaroch, M., Jeffery, M., Kauffman, R., & Shah, S. (2007). Option-based risk management: field study of sequential IT investment decisions. Journal of Management Information Systems, 24(2).
Bose. R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems, 109(2).
Burgess, K., Singh, P., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of Operations & Production Management, 26(7).
Cachon, G. P. (2018). A research framework for business models: What is common among fast fashion, e-tailing, and ride sharing. Management Science, 66(3), 1005–1507.
Cai, J., Liu, X., Xiao, Z., & Liu, J. (2009). Improving supply chain performance management: a systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46(2).
Chadwick, C., Super, J. F., & Kwon, K. (2015). Resource orchestration in practice: CEO emphasis on SHRM, commitment-based HR systems, and firm performance. Strategic Management Journal, 36(3), 360–376.
Chen, H., Chiang, R.H.L., Storey, V.C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165–1188.
Chen, M., Liu, H. F., Wei, S. B., & Gu, J. B. (2018). Top managers’ managerial ties, supply chain integration, and firm performance in China: A social capital perspective. Industrial Marketing Management, 74, 205–214.
Chen, Y., Liu, H., & Chen, M. (2020). Achieving novelty and efficiency in business model design: Striking a balance between IT exploration and exploitation. Information & Management, 103268.
Coombes, P. H., & Nicholson, J. D. (2013). Business models and their relationship with marketing: A systematic literature review. Industrial Marketing Management, 42(5), 656–664.
Dale Stoel, M., & Muhanna, W.A. (2009). IT capabilities and firm performance: a contingency analysis of the role of industry and IT capability type. Information & Management, 46(3).
Davenport, T. (2006). Competing on analytics. Harvard Business Review 84(5).
Dehning, B., Richardson, V.J., & Zmud, R.W. (2007). The financial performance effects of ITbased supply chain management systems in manufacturing firms. Journal of Operations Management, 25(4).
Devaraj, S., Krajewski, L., & Wei, J. (2007). Impact of e-business technologies on operational performance: The role of production information integration in the supply chain. Journal of Operations Management, 25(6), 1199–1216.
Duanmu, J. L., Bu, M. L., & Pittman, R. (2018). Does market competition dampen environmental performance? Evidence from China. Strategic Management Journal, 39(11), 3006–3030.
Ehret, M., Kashyap, V., & Wirtz, J. (2013). Business models: Impact on business markets and opportunities for marketing research. Industrial Marketing Management, 42(5), 649–655.
Ferreira, F. N. H., Proença, J. F., Spencer, R., & Cova, B. (2013). The transition from products to solutions: External business model fit and dynamics. Industrial Marketing Management, 42(7), 1093-1101.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1),39–50.
Frankenberger, K., & Sauer, R. (2019). Cognitive antecedents of business models: Exploring the link between attention and business model design over time. Long Range Planning, 52(3), 283-304.
Guo, H, Wang, C., Su, Z., & Wang, D. (2020). Technology push or market pull? Strategic orientation in business model design and digital startup performance. Journal of Product Innovation Management, 37(4), 352–372.
Gupta, M., & George, J.F. (2016). Toward the development of a big data analytics capability. Information Management, 53, 1049–1064. https://doi.org/10.1016/j.im.2016.07.004.
Gupta, S., Chen, H., Hazen, B. T., Kaur, S., & Gonzalez, E. D. S. (2019). Circular economy and big data analytics: A stakeholder perspective. Technological Forecasting and Social Change, 144, 466-474.
Hedgebeth, D. (2007). Data-driven decision making for the enterprise: an overview of business intelligence applications. VINE, 37(4).
Hoole, R. (2005); Five ways to simplify your supply chain. Supply Chain Management: An International Journal, 10(1).
Hult, G.T.M., Ketchen, D.J., & Slater, S.F. (2004). Information processing, knowledge development and strategic supply chain performance. Academy of Management Journal, 47(2).
Kim, S. K., & Min, S. (2015). Business model innovation performance: When does adding a new business model benefit an incumbent? Strategic Entrepreneurship Journal, 9(1), 34–57.
Kortmann, S., Gelhard, C., Zimmermann, C., & Piller, F. T. (2014). Linking strategic flexibility and operational efficiency: The mediating role of ambidextrous operational capabilities. Journal of Operations Management, 32(7–8), 475–490.
Lam, H. K., Yeung, A. C., & Cheng, T. E. (2016). The impact of firms’ social media initiatives on operational efficiency and innovativeness. Journal of Operations Management, 47, 28–43.
Liu, C., Feng, Y., Lin, D., Wu, L., & Guo, M. (2020). Iot based laundry services: An application of big data analytics, intelligent logistics management, and machine learning techniques. International Journal of Production Research, 58(17), 5113–5131.
Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2013). Effects of supply chain integration and market orientation on firm performance. International Journal of Operations &Production Management, 33(3), 322–346.
Liu, H., Wei, S., Ke, W., Wei, K. K., & Hua, Z. (2016). The configuration between supply chain integration and information technology competency: A resource orchestration perspective. Journal of Operations Management, 44, 13–29.
Loon, M., & Chik, R. (2019). Efficiency-centered, innovation-enabling business models of high tech SMEs: Evidence from Hong Kong. Asia Pacific Journal of Management, 36 (1), 87–111.
McCormack, K. (2007). Business Process Maturity: Theory and Application. BookSurge Publishing, Charleston, South Carolina.
Mcdonald, R., & Eisenhardt, K. M. (2020). Parallel play: Startups, nascent markets, and effective business model design. Administrative Science Quarterly, 65(2), 483–523.
Meixell, M.J., & Gargeya, V.B. (2005). Global supply chain design: a literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41 (6).
Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169.
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578.
Munodawafa, R.T., & Johl, S.K. (2019). Big data analytics capabilities and eco-innovation: a study of energy companies. Sustainability, 11, 4254.
Pagoropoulos, A., Pigosso, D.C.A., & McAloone, T.C. (2017). The emergent role of digital technologies in the circular economy: a review. Procedia CIRP, 64, 19–24.
Pati, R. K., Nandakumar, M. K., Ghobadian, A., Ireland, R. D., & O’Regan, N. (2018). Business model design-performance relationship under external and internal contingencies: Evidence from SMEs in an emerging economy. Long Range Planning, 51, 750–769.
Popovic, A., Coelho, P.S., & Jaklic, J. (2009). The impact of business intelligence system maturity on information quality. Information Research, 14(4).
Rai, A., & Tang, X. (2014). Research commentary—Information technology-enabled business models: A conceptual framework and a coevolution perspective for future research. Information Systems Research, 25(1), 1–14.
Ranjan, J. (2008). Business justification with business intelligence, VINE: The journal of information and knowledge management systems, 38(4).
Reyes, P.M. (2005); Logistics networks: a game theory application for solving the transshipment problem. Applied Mathematics and Computation, 168(2).
Rialti, R., Marzi, G., Ciappei, C., & Busso, D. (2019). Big data and dynamic capabilities: a bibliometric analysis and systematic literature review. Management Decision, 57(8), 2052-2068.
Salonen, A., & Jaakkola, E. (2015). Firm boundary decisions in solution business: Examining internal vs. external resource integration. Industrial Marketing Management, 51, 171–183.
Shang, J., Tadikamalla, P.R., Kirsch, L.J., & Brown, L. (2008). A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems, 46(1).
Sohl, T., Vroom, G., & McCann, B. T. (2020). Business model diversification and firm performance: A demand-side perspective. Strategic Entrepreneurship Journal, 14(2), 198–223.
Spieth, P., Schneider, S., Clauß, T., & Eichenberg, D. (2019). Value drivers of social businesses: A business model perspective. Long Range Planning, 52(3), 427–444.
Stadtler, H. (2005). Supply chain management and advanced planning basics, overview and challenges. European Journal of Operational Research, 163(3).
Su, J., Zhang, S., & Ma, H. (2020). Entrepreneurial orientation, environmental characteristics, and business model innovation: a configurational approach. Innovation, 22(4), 399-421.
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49.
Trkman, P., Budler, M., & Groznik, A. (2015). A business model approach to supply chain management. Supply Chain Management, 20(6), 587–602.
Trkman, P., Indihar Štemberger, M., Jaklic, J., Groznik, A. (2007). Process approach to supply chain integration. Supply Chain Management — An International Journal, 12(2).
Valente, P., & Mitra, G. (2007). The evolution of web-based optimization: from ASP to e- Services. Decision Support Systems, 43(4).
Visnjic, I., Wiengarten, F., & Neely, A. (2016). Only the brave: Product innovation, service business model innovation, and their impact on performance. Journal of Product Innovation Management, 33(1), 36–52.
Watson, H.J., Wixom, B.H., Hoffer, J.A., Anderson-Lehman, R., & Reynolds, A.M. (2006). Realtime business intelligence: best practices at continental airlines. Information Systems Management, 23(1).
Wei, Z., Song, X., & Wang, D. (2017). Manufacturing flexibility, business model design, and firm performance. International Journal of Production Economics, 193, 87–97.
Wieland, H., Hartmann, N. N., & Vargo, S. L. (2017). Business models as service strategy. Journal of the Academy of Marketing Science, 45(6), 925–943.
Wixom, B.H., Watson, H.J., Reynolds, A.M., & Hoffer, J.A. (2008). Continental Airlines Continues to Soar with Business Intelligence. Information Systems Management, 25(2).
Zhu, Q., Krikke, H., & Caniels, M. C. (2018). Supply chain integration: Value creation through managing inter-organizational learning. International Journal of Operations & Production Management, 38(1), 211–229.
Adaileh, M. J., & Elrehail, H. (2018). E-business supply chain collaboration measurement scale: a confirmatory approach. International Journal of Supply Chain Management, 7(5), 22-34.
Alshanty, A., Emeagwali, O., Ibrahim, B., & Alrwashdeh, M. (2019). The effect of market-sensing capability on knowledge creation process and innovation Evidence from SMEs in Jordan. Management Science Letters, 9(5), 727-736.
Alrwashdeh, M., Jahmani, A., Ibrahim, B., & Aljuhmani, H. Y. (2020). Data to model the effects of perceived telecommunication service quality and value on the degree of user satisfaction and e-WOM among telecommunications users in North Cyprus. Data in brief, 28, 104981.
Alrwashdeh, M., Emeagwali, O., & Aljuhmani, H. (2019). The effect of electronic word of mouth communication on purchase intention and brand image: An applicant smartphone brands in North Cyprus. Management Science Letters, 9(4), 505-518.
Alshammari, A.F., & Adaileh, M.J. (2018). E-Learning Readiness: A Scale Development in Saudi Higher Education Institutions. International Journal of Economic Management Science, 7, 553. doi: 10.4172/2162-6359.1000553
Amit, R., & Zott, C. (2016). Business model design: A dynamic capability perspective. In D. J. Teece, & S. Leih (Eds.), The Oxford handbook of dynamic capabilities (pp. 1–21). Oxford: OUP.
Anwar, M. (2018). Business model innovation and SMEs performance: Does competitive advantage mediate? International Journal of Innovation Management, 22(7), 1850057.
Auramo, J., Kauremaa, J., & Tanskanen, K. (2005); Benefits of IT in supply chain management: an explorative study of progressive companies. International Journal of Physical Distribution & Logistics Management, 35(2).
Bellos, I., Ferguson, M., & Toktay, L. B. (2017). The car sharing economy: Interaction of business model choice and product line design. Manufacturing & Service Operations Management, 19(2), 185–201.
Benaroch, M., Jeffery, M., Kauffman, R., & Shah, S. (2007). Option-based risk management: field study of sequential IT investment decisions. Journal of Management Information Systems, 24(2).
Bose. R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems, 109(2).
Burgess, K., Singh, P., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of Operations & Production Management, 26(7).
Cachon, G. P. (2018). A research framework for business models: What is common among fast fashion, e-tailing, and ride sharing. Management Science, 66(3), 1005–1507.
Cai, J., Liu, X., Xiao, Z., & Liu, J. (2009). Improving supply chain performance management: a systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46(2).
Chadwick, C., Super, J. F., & Kwon, K. (2015). Resource orchestration in practice: CEO emphasis on SHRM, commitment-based HR systems, and firm performance. Strategic Management Journal, 36(3), 360–376.
Chen, H., Chiang, R.H.L., Storey, V.C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165–1188.
Chen, M., Liu, H. F., Wei, S. B., & Gu, J. B. (2018). Top managers’ managerial ties, supply chain integration, and firm performance in China: A social capital perspective. Industrial Marketing Management, 74, 205–214.
Chen, Y., Liu, H., & Chen, M. (2020). Achieving novelty and efficiency in business model design: Striking a balance between IT exploration and exploitation. Information & Management, 103268.
Coombes, P. H., & Nicholson, J. D. (2013). Business models and their relationship with marketing: A systematic literature review. Industrial Marketing Management, 42(5), 656–664.
Dale Stoel, M., & Muhanna, W.A. (2009). IT capabilities and firm performance: a contingency analysis of the role of industry and IT capability type. Information & Management, 46(3).
Davenport, T. (2006). Competing on analytics. Harvard Business Review 84(5).
Dehning, B., Richardson, V.J., & Zmud, R.W. (2007). The financial performance effects of ITbased supply chain management systems in manufacturing firms. Journal of Operations Management, 25(4).
Devaraj, S., Krajewski, L., & Wei, J. (2007). Impact of e-business technologies on operational performance: The role of production information integration in the supply chain. Journal of Operations Management, 25(6), 1199–1216.
Duanmu, J. L., Bu, M. L., & Pittman, R. (2018). Does market competition dampen environmental performance? Evidence from China. Strategic Management Journal, 39(11), 3006–3030.
Ehret, M., Kashyap, V., & Wirtz, J. (2013). Business models: Impact on business markets and opportunities for marketing research. Industrial Marketing Management, 42(5), 649–655.
Ferreira, F. N. H., Proença, J. F., Spencer, R., & Cova, B. (2013). The transition from products to solutions: External business model fit and dynamics. Industrial Marketing Management, 42(7), 1093-1101.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1),39–50.
Frankenberger, K., & Sauer, R. (2019). Cognitive antecedents of business models: Exploring the link between attention and business model design over time. Long Range Planning, 52(3), 283-304.
Guo, H, Wang, C., Su, Z., & Wang, D. (2020). Technology push or market pull? Strategic orientation in business model design and digital startup performance. Journal of Product Innovation Management, 37(4), 352–372.
Gupta, M., & George, J.F. (2016). Toward the development of a big data analytics capability. Information Management, 53, 1049–1064. https://doi.org/10.1016/j.im.2016.07.004.
Gupta, S., Chen, H., Hazen, B. T., Kaur, S., & Gonzalez, E. D. S. (2019). Circular economy and big data analytics: A stakeholder perspective. Technological Forecasting and Social Change, 144, 466-474.
Hedgebeth, D. (2007). Data-driven decision making for the enterprise: an overview of business intelligence applications. VINE, 37(4).
Hoole, R. (2005); Five ways to simplify your supply chain. Supply Chain Management: An International Journal, 10(1).
Hult, G.T.M., Ketchen, D.J., & Slater, S.F. (2004). Information processing, knowledge development and strategic supply chain performance. Academy of Management Journal, 47(2).
Kim, S. K., & Min, S. (2015). Business model innovation performance: When does adding a new business model benefit an incumbent? Strategic Entrepreneurship Journal, 9(1), 34–57.
Kortmann, S., Gelhard, C., Zimmermann, C., & Piller, F. T. (2014). Linking strategic flexibility and operational efficiency: The mediating role of ambidextrous operational capabilities. Journal of Operations Management, 32(7–8), 475–490.
Lam, H. K., Yeung, A. C., & Cheng, T. E. (2016). The impact of firms’ social media initiatives on operational efficiency and innovativeness. Journal of Operations Management, 47, 28–43.
Liu, C., Feng, Y., Lin, D., Wu, L., & Guo, M. (2020). Iot based laundry services: An application of big data analytics, intelligent logistics management, and machine learning techniques. International Journal of Production Research, 58(17), 5113–5131.
Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2013). Effects of supply chain integration and market orientation on firm performance. International Journal of Operations &Production Management, 33(3), 322–346.
Liu, H., Wei, S., Ke, W., Wei, K. K., & Hua, Z. (2016). The configuration between supply chain integration and information technology competency: A resource orchestration perspective. Journal of Operations Management, 44, 13–29.
Loon, M., & Chik, R. (2019). Efficiency-centered, innovation-enabling business models of high tech SMEs: Evidence from Hong Kong. Asia Pacific Journal of Management, 36 (1), 87–111.
McCormack, K. (2007). Business Process Maturity: Theory and Application. BookSurge Publishing, Charleston, South Carolina.
Mcdonald, R., & Eisenhardt, K. M. (2020). Parallel play: Startups, nascent markets, and effective business model design. Administrative Science Quarterly, 65(2), 483–523.
Meixell, M.J., & Gargeya, V.B. (2005). Global supply chain design: a literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41 (6).
Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169.
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578.
Munodawafa, R.T., & Johl, S.K. (2019). Big data analytics capabilities and eco-innovation: a study of energy companies. Sustainability, 11, 4254.
Pagoropoulos, A., Pigosso, D.C.A., & McAloone, T.C. (2017). The emergent role of digital technologies in the circular economy: a review. Procedia CIRP, 64, 19–24.
Pati, R. K., Nandakumar, M. K., Ghobadian, A., Ireland, R. D., & O’Regan, N. (2018). Business model design-performance relationship under external and internal contingencies: Evidence from SMEs in an emerging economy. Long Range Planning, 51, 750–769.
Popovic, A., Coelho, P.S., & Jaklic, J. (2009). The impact of business intelligence system maturity on information quality. Information Research, 14(4).
Rai, A., & Tang, X. (2014). Research commentary—Information technology-enabled business models: A conceptual framework and a coevolution perspective for future research. Information Systems Research, 25(1), 1–14.
Ranjan, J. (2008). Business justification with business intelligence, VINE: The journal of information and knowledge management systems, 38(4).
Reyes, P.M. (2005); Logistics networks: a game theory application for solving the transshipment problem. Applied Mathematics and Computation, 168(2).
Rialti, R., Marzi, G., Ciappei, C., & Busso, D. (2019). Big data and dynamic capabilities: a bibliometric analysis and systematic literature review. Management Decision, 57(8), 2052-2068.
Salonen, A., & Jaakkola, E. (2015). Firm boundary decisions in solution business: Examining internal vs. external resource integration. Industrial Marketing Management, 51, 171–183.
Shang, J., Tadikamalla, P.R., Kirsch, L.J., & Brown, L. (2008). A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems, 46(1).
Sohl, T., Vroom, G., & McCann, B. T. (2020). Business model diversification and firm performance: A demand-side perspective. Strategic Entrepreneurship Journal, 14(2), 198–223.
Spieth, P., Schneider, S., Clauß, T., & Eichenberg, D. (2019). Value drivers of social businesses: A business model perspective. Long Range Planning, 52(3), 427–444.
Stadtler, H. (2005). Supply chain management and advanced planning basics, overview and challenges. European Journal of Operational Research, 163(3).
Su, J., Zhang, S., & Ma, H. (2020). Entrepreneurial orientation, environmental characteristics, and business model innovation: a configurational approach. Innovation, 22(4), 399-421.
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49.
Trkman, P., Budler, M., & Groznik, A. (2015). A business model approach to supply chain management. Supply Chain Management, 20(6), 587–602.
Trkman, P., Indihar Štemberger, M., Jaklic, J., Groznik, A. (2007). Process approach to supply chain integration. Supply Chain Management — An International Journal, 12(2).
Valente, P., & Mitra, G. (2007). The evolution of web-based optimization: from ASP to e- Services. Decision Support Systems, 43(4).
Visnjic, I., Wiengarten, F., & Neely, A. (2016). Only the brave: Product innovation, service business model innovation, and their impact on performance. Journal of Product Innovation Management, 33(1), 36–52.
Watson, H.J., Wixom, B.H., Hoffer, J.A., Anderson-Lehman, R., & Reynolds, A.M. (2006). Realtime business intelligence: best practices at continental airlines. Information Systems Management, 23(1).
Wei, Z., Song, X., & Wang, D. (2017). Manufacturing flexibility, business model design, and firm performance. International Journal of Production Economics, 193, 87–97.
Wieland, H., Hartmann, N. N., & Vargo, S. L. (2017). Business models as service strategy. Journal of the Academy of Marketing Science, 45(6), 925–943.
Wixom, B.H., Watson, H.J., Reynolds, A.M., & Hoffer, J.A. (2008). Continental Airlines Continues to Soar with Business Intelligence. Information Systems Management, 25(2).
Zhu, Q., Krikke, H., & Caniels, M. C. (2018). Supply chain integration: Value creation through managing inter-organizational learning. International Journal of Operations & Production Management, 38(1), 211–229.