The Effect of Data Empowerment on Channel Resilience: The Roles of Ambidextrous Learning，Guanxi Inertia and Enterprise Openness

References

• Adam, N. 2020. The individual aspect of interorganizational cooperation: Favor-based cooperation. Journal of Business-To-Business Marketing 27 (3):221–245. doi:10.1080/1051712X.2020.1787025.
   Web of Science ®Google Scholar
• Akter, S., S. Motamarri, S. Sajib, R. J. Bandara, S. Tarba, and D. Vrontis. 2021. Theorising the microfoundations of analytics empowerment capability for humanitarian service systems. Annals of Operations Research 1–25. doi:10.1007/s10479-021-04386-5.
   PubMed Web of Science ®Google Scholar
• Al-Omoush, K. S., A. de Lucas, and M. T. Del Val. 2023. The role of e-supply chain collaboration in collaborative innovation and value-co creation. Journal of Business Research 158:113647–113647. doi:10.1016/j.jbusres.2023.113647.
   Web of Science ®Google Scholar
• Andersen, L., T. Hansen, N. Johannesen, and A. Sheridan. 2022. Consumer responses to the COVID-19 crisis: Evidence from bank account transaction data. The Scandinavian Journal of Economics 12 (4):905–929. doi:10.1111/sjoe.12512.
   Google Scholar
• Argote, L., and E. Miron-Spektor. 2011. Organizational learning: From experience to knowledge. Organization Science 22 (5):1123–37. doi:10.1287/orsc.1100.0621.
   Web of Science ®Google Scholar
• Ashok, M., M. S. M. Al Badi Al Dhaheri, R. Madan, and M. D. Dzandu. 2021. How to counter organisational inertia to enable knowledge management practices adoption in public sector organisations. Journal of Knowledge Management 25 (9):2245–2573. doi:10.1108/JKM-09-2020-0700.
   Web of Science ®Google Scholar
• Benner, M. J., and M. L. Tushman. 2003. Exploitation, exploration, and process management: The productivity dilemma revisited. Academy of Management Review 28 (1):238–256. doi:10.2307/30040711.
   Google Scholar
• Bharadwaj, A., O. Sawy, P. A. Pavlou, and N. Venkatraman. 2013. Digital business strategy: Toward a next generation of insights. MIS Quarterly 37 (2):471–82. doi:10.25300/MISQ/2013/37:2.3.
   Web of Science ®Google Scholar
• Burgos, D., and D. Ivanov. 2021. Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions. Transportation Research Part E: Logistics & Transportation Review 152:102412–102412. doi:10.1016/j.tre.2021.102412.
   PubMed Web of Science ®Google Scholar
• Cardillo, G., E. Bendinelli, and G. Torluccio. 2023. COVID-19, ESG investing, and the resilience of more sustainable stocks: Evidence from European firms. Business Strategy and the Environment 32 (1):602–23. doi:10.1002/bse.3163.
   Web of Science ®Google Scholar
• Chang, Y.-S. 2019. Bonding ties, bridging ties, and firm performance: The moderating role of dynamic capabilities in networks. Journal of Business-To-Business Marketing 26 (2):159–76. doi:10.1080/1051712X.2019.1603395.
   Web of Science ®Google Scholar
• Cheng, Y., K. Chen, H. Sun, Y. Zhang, and F. Tao. 2018. Data and knowledge mining with big data towards smart production. Journal of Industrial Information Integration 9:1–13. doi:10.1016/j.jii.2017.08.001.
   Web of Science ®Google Scholar
• Cheng, C. J., and E. Huizingh. 2014. When is open innovation beneficial? The role of strategic orientation. Journal of Product Innovation Management 31 (6):1235–53. doi:10.1111/jpim.12148.
   Web of Science ®Google Scholar
• Chen, D. Q., D. S. Preston, and M. Swink. 2015. How the use of big data analytics affects value creation in supply chain management. Journal of Management Information Systems 32 (4):4–39. doi:10.1080/07421222.2015.1138364.
   Web of Science ®Google Scholar
• Cheon, Y.-J., S. K. Choi, J. Kim, and K. Kwak. 2015. Antecedents of guanxi inertia and information sharing in SNS usage: The moderating role of structural autonomy. Technological Forecasting & Social Change 95 (6):32–47. doi:10.1016/j.techfore.2014.05.002.
   Google Scholar
• Ciampi, F., S. Demi, A. Magrini, G. Marzi, and A. Papa. 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. doi:10.1016/j.jbusres.2020.09.023.
   Web of Science ®Google Scholar
• Cigdem, H., and M. Ozturk. 2016. Critical components of online learning readiness and their relationships with learner achievement. Turkish Online Journal of Distance Education 17 (2):98–109. doi:10.17718/tojde.09105.
   Google Scholar
• Côrte-Real, N., P. Ruivo, and T. Oliveira. 2020. Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value? Information & Management 57 (1):103141–103141. doi:10.1016/j.im.2019.01.003.
   Web of Science ®Google Scholar
• Cronbach, L. J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika 16 (3):297–334. doi:10.1007/BF02310555.
   Web of Science ®Google Scholar
• Do, H., P. Budhwar, H. Shipton, H.-D. Nguyen, and B. Nguyen. 2022. Building organizational resilience, innovation through resource-based management initiatives, organizational learning and environmental dynamism. Journal of Business Research 141 (6):808–21. doi:10.1016/j.jbusres.2021.11.090.
   Google Scholar
• Du, J., E. Ma, V. Cabrera, and M. Jiao. 2021. Keep your mood up: A multilevel investigation of hospitality employees’ positive affect and individual creativity. Journal of Hospitality & Tourism Management 48:451–59. doi:10.1016/J.JHTM.2021.07.004.
   Web of Science ®Google Scholar
• Erevelles, S., N. Fukawa, and L. Swayne. 2016. Big data consumer analytics and the transformation of marketing. Journal of Business Research 69 (2):897–904. doi:10.1016/j.jbusres.2015.07.001.
   Web of Science ®Google Scholar
• Ferraris, A., A. Mazzoleni, A. Devalle, and J. Couturier. 2019. Big data analytics capabilities and knowledge management: Impact on firm performance. Management Decision 57 (8):1923–36. doi:10.1108/MD-07-2018-0825.
   Web of Science ®Google Scholar
• Fu, X. L. 2021. How does openness affect the importance of incentives for innovation? Research Policy 41 (3):512–523. doi:10.1016/j.respol.2011.12.011.
   Google Scholar
• Fu, X.-R., R. Luan, H.-H. Wu, W.-T. Zhu, and J. Pang. 2021. Ambidextrous balance and channel innovation ability in Chinese business circles: The mediating effect of knowledge inertia and guanxi inertia. Industrial Marketing Management 93 (1):63–75. doi:10.1016/j.indmarman.2020.11.005.
   Google Scholar
• Gesell, C., A. H. Glas, and M. Essig. 2018. Business-to-business communication in a dynamic environment: A systematic adductive analysis referring to ramp-up management. Journal of Business-To-Business Marketing 25 (4):339–355. doi:10.1080/1051712X.2018.1532664.
   Web of Science ®Google Scholar
• Gölgeci, I., D. M. Gligor, E. Bayraktar, and D. Delen. 2023. Reimagining global value chains in the face of extreme events and contexts: Recent insights and future research opportunities. The Journal of Business 160:113721–113721. doi:10.1016/j.jbusres.2023.113721.
   Google Scholar
• Grover, L., R. H. L. Chiang, T.-P. Liang, and D. Zhang. 2018. Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems 35 (2):388–423. doi:10.1080/07421222.2018.1451951.
   Web of Science ®Google Scholar
• Günther, W. A., M. H. Rezazade Mehrizi, M. Huysman, and F. Feldberg. 2017. Debating big data: A literature review on realizing value from big data. Journal of Strategic Information Systems 26 (3):191–209. doi:10.1016/j.jsis.2017.07.003.
   Web of Science ®Google Scholar
• Gupta, M., and J. F. George. 2016. Toward the development of a big data analytics capability. Information & Management 53 (8):1049–64. doi:10.1016/j.im.2016.07.004.
   Web of Science ®Google Scholar
• Gupta, A. K., K. G. Smith, and C. E. Shalley. 2006. The interplay between exploration and exploitation. Academy of Management Journal 49 (4):693–706. doi:10.5465/amj.2006.22083026.
   Web of Science ®Google Scholar
• Herold, D. M., K. Nowicka, A. Pluta-Zaremba, and S. Kummer. 2021. COVID-19 and the pursuit of supply chain resilience: Reactions and “lessons learned” from logistics service providers (LSPs). Supply Chain Management: An International Journal 26 (6):702–714. doi:10.1108/SCM-09-2020-0439.
   Web of Science ®Google Scholar
• He, Z., and P. Wong. 2004. Exploration vs. exploitation: An empirical test of the ambidexterity hypothesis. Organization Science 15 (4):481–94. doi:10.1287/orsc.1040.0078.
   Web of Science ®Google Scholar
• Hibbard, J. D., N. Kumar, and L. W. Stern. 2001. Examining the impact of destructive acts in marketing channel relationships. Journal of Marketing Research 38 (1):45–61. doi:10.1509/jmkr.38.1.45.18831.
   Web of Science ®Google Scholar
• Hobfoll, S. E. 2011. The influence of culture, community, and the nested-self in the stress process: Advancing conservation of resources theory. Applied Psychology 50 (3):337–421. doi:10.1111/1464-0597.00062.
   Google Scholar
• Hodgkinson, G. P. 1997. Cognitive inertia in a turbulent market: The case of UK residential estate agents. Journal of Management Studies 34 (6):921–45. doi:10.1111/1467-6486.00078.
   Web of Science ®Google Scholar
• Hosseini, S., D. Ivanov, and A. Dolgui. 2019. Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics & Transportation Review 125 (2):285–307. doi:10.1016/j.tre.2019.03.001.
   Google Scholar
• Houcine, A., and G. Woodside Arch. 2023. Trust climate in international business-to-business E-Negotiations: Antecedents, processes, and outcomes. Journal of Business-To-Business Marketing 30 (1):1–13. doi:10.1080/1051712X.2023.2172635.
   Web of Science ®Google Scholar
• Huang, W., S. Chen, and L. T. Nguyen. 2020. Corporate social responsibility and organizational resilience to COVID-19 crisis: An empirical study of Chinese firms. Sustainability 12 (21):8970–8970. doi:10.3390/su12218970.
   Web of Science ®Google Scholar
• Huang, T.-L., H. F. L. Chung, and X. Chen. 2023. Digital modality richness drives vivid memory experience. Journal of Research in Interactive Marketing 17 (6):921–939. doi:10.1108/JRIM-10-2022-0334.
   Google Scholar
• Huo, B., Q. Wang, X. Zhao, and S. Schuh. 2016. Threats and benefits of power discrepancies between organizations: A supply chain perspective. International Journal of Production Research 54 (13):3870–3884. doi:10.1080/00207543.2016.1159744.
   Web of Science ®Google Scholar
• Hwang, K. 1987. Face and favor: The Chinese power game. American Journal of Sociology 92 (4):944–74. doi:10.1086/228588.
   Web of Science ®Google Scholar
• Indu, K., K. Dutta Dev, and S. Ghura Amarpreet. 2022. SMEs and digital transformation during a crisis: The emergence of resilience as a second-order dynamic capability in an entrepreneurial ecosystem. Journal of Business Research 150:624–641. doi:10.1016/J.JBUSRES.2022.06.048.
   Web of Science ®Google Scholar
• Ivanov, A., and A. Das. 2020. Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: A research note. International Journal of Integrated Supply Management 13 (1):90–102. doi:10.1504/IJISM.2020.107780.
   Google Scholar
• Kalafatis, S. P. 2002. Buyer-seller relationships in business marketing. Industrial Marketing Management 31 (3):215–228. doi:10.1016/S0019-8501(00)00118-8.
   Web of Science ®Google Scholar
• Kantur, D., and A. Say. 2012. Organizational resilience: A conceptual integrative framework. Journal of Management & Organization 18 (6):762–73. doi:10.5172/jmo.2012.18.6.762.
   Web of Science ®Google Scholar
• Karimi, J., and Z. Walter. 2015. The role of dynamic capabilities in responding to digital disruption: A factor-based study of the newspaper industry. Journal of Management Information Systems 32 (1):39–81. doi:10.1080/07421222.2015.1029380.
   Web of Science ®Google Scholar
• Kraus, S., T. Clauss, M. Breier, J. Gast, A. Zardini, and V. Tiberius. 2020. The economics of COVID-19: Initial empirical evidence on how family firms in five European countries cope with the corona crisis. International Journal of Entrepreneurial Behaviour & Research 23 (11):1067–1092. doi:10.1108/IJEBR-04-2020-0214.
   Google Scholar
• Kunz, J., and L. Sonnenholzner. 2023. Managerial overconfidence: Promoter of or obstacle to organizational resilience? Review of Managerial Science 17 (1):67–128. doi:10.1007/S11846-022-00530-Y.
   Web of Science ®Google Scholar
• Laursen, K., and A. Salter. 2006. Open for innovation: The role of openness in explaining innovation performance among U.K. manufacturing firms. Strategic Management Journal 27 (2):131–50. doi:10.1002/smj.507.
   Web of Science ®Google Scholar
• Lavie, D., U. Stettner, and M. L. Tushman. 2010. Exploration and exploitation within and across organizations. Academy of Management Annals 4 (1):109–55. doi:10.5465/19416521003691287.
   Web of Science ®Google Scholar
• Lee, D.-J., J.-H. Pae, and Y.-H. Wong. 2001. A model of close business relationships in China (guanxi). European Journal of Marketing 35 (1):51–69. doi:10.1108/03090560110363346.
   Google Scholar
• Lenka, S., V. Parida, and J. Wincent. 2017. Digitalization Capabilities as Enablers of Value Co-Creation in Servitizing Firms. Psychology & Marketing 34 (1):92–100. doi:10.1002/mar.20975.
   Web of Science ®Google Scholar
• Lichtenthaler, U., and H. Ernst. 2007. External technology commercialization in large firms: Results of a quantitative benchmarking study. R&D Management 37 (5):383–97. doi:10.1111/j.1467-9310.2007.00487.x.
   Web of Science ®Google Scholar
• Li, Z., H. Li, and S. Wang. 2022. How multidimensional digital empowerment affects technology innovation performance: The moderating effect of adaptability to technology embedding. Sustainability 14 (23):15916–15916. doi:10.3390/SU142315916.
   Web of Science ®Google Scholar
• March, J. 1991. Exploration and exploitation in organizational learning. Organization Science 2 (1):71–87. doi:10.2307/2634940.
   Web of Science ®Google Scholar
• Markovic, S., and M. Bagherzadeh. 2018. How does breadth of external stakeholder co-creation influence innovation performance? Analyzing the mediating roles of knowledge sharing and product innovation. Journal of Business Research 88:173–86. doi:10.1016/j.jbusres.2018.03.028.
   Web of Science ®Google Scholar
• Mikalef, P., M. Boura, G. Lekakos, and J. Krogstie. 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):272–98. doi:10.1111/1467-8551.12343.
   Web of Science ®Google Scholar
• Monteiro, F., M. Mol, and J. Birkinshaw. 2015. Ready to be open? Explaining the firm level barriers to benefiting from openness to external knowledge. Long Range Planning 50 (2):282–295. doi:10.1016/j.lrp.2015.12.008.
   Web of Science ®Google Scholar
• Mousa, M., H. A. Abdelgaffar, W. Chaouali, and M. Aboramadan. 2020. Organizational learning, organizational resilience and the mediating role of multi-stakeholder networks. Journal of Workplace Learning 32 (3):161–81. doi:10.1108/JWL-05-2019-0057.
   Web of Science ®Google Scholar
• Patrick, M., R. van de Wetering, and K. John. 2020. Building dynamic capabilities by leveraging big data analytics: The role of organizational inertia. Information & Management 58 (6):103412–103412. doi:10.1016/J.IM.2020.103412.
   Web of Science ®Google Scholar
• Paula, R.-T., S. José Cabezudo Rebeca, S.-M. Sonia, and T. Apadula Lauren. 2023. Let it flow: The role of seamlessness and the optimal experience on consumer word of mouth in omnichannel marketing. Journal of Research in Interactive Marketing 17 (1):1–18. doi:10.1108/JRIM-06-2021-0154.
   Web of Science ®Google Scholar
• Pereira, C. R., M. Christopher, and A. L. Da Silva. 2014. Achieving supply chain resilience: The role of procurement. Supply Chain Management: An International Journal 19 (6):626–642. doi:10.1108/SCM-09-2013-0346.
   Web of Science ®Google Scholar
• Pisano, G. P., and R. Verganti. 2008. Which kind of collaboration is right for you? Harvard Business Review 86 (12):78–86. doi:10.1057/grir.2008.12.
   Web of Science ®Google Scholar
• Ranjan, J., and C. Foropon. 2021. Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management 56:102231. doi:10.1016/j.ijinfomgt.2020.102231
   Web of Science ®Google Scholar
• Shen, Z. M., and Y. Sun. 2021. Strengthening supply chain resilience during COVID-19: A case study of JD. Com. Journal of Operations Management 69 (3):359–383. doi:10.1002/joom.1161.
   Web of Science ®Google Scholar
• Siggelkow, N. 2001. Change in the presence of fit: The rise, the Fall, and the renaissance of Liz Claiborne. Academy of Management 44 (4):838–857. doi:10.5465/3069418.
   Web of Science ®Google Scholar
• Sillic, M. 2019. Critical impact of organizational and individual inertia in explaining non-compliant security behavior in the shadow IT context. Computers & Security 80 (1):108–19. doi:10.1016/j.cose.2018.09.012.
   Google Scholar
• Singh, S., R. Kumar, R. Panchal, and M. K. Tiwari. 2021. Impact of COVID-19 on logistics systems and disruptions in food supply chain. International Journal of Production Research 59 (7):1993–2008. doi:10.1080/00207543.2020.1792000.
   Web of Science ®Google Scholar
• Sinkula, J. M. 1994. Market information processing and organizational learning. Journal of Marketing 58 (1):35–45. doi:10.1177/002224299405800103.
   Web of Science ®Google Scholar
• Sin, L., A. Tse, O. Yau, R. Chow, J. Lee, and L. Lau. 2005. Relationship marketing orientation: Scale development and cross-cultural validation. Journal of Business Research 58 (2):185–94. doi:10.1016/S0148-2963(02)00493-9.
   Web of Science ®Google Scholar
• Teofilus, T., E. Ardyan, T. F. C. W. Sutrisno, S. Sabar, and V. Sutanto. 2022. Managing organizational inertia: Indonesian family business perspective. Frontiers in Psychology 13:839266–839266. doi:10.3389/fpsyg.2022.839266.
   PubMed Web of Science ®Google Scholar
• Tho, N. D., and L. A. Duc. 2021. Team psychological capital and innovation: The mediating of team exploratory and exploitative learning. Journal of Knowledge Management 25 (7):1745–59. doi:10.1108/JKM-06-2020-0475.
   Web of Science ®Google Scholar
• Tippins, M. J., and R. S. Sohi. 2003. IT competency and firm performance: Is organizational learning a missing link? Strategic Management Journal 24 (8):745–61. doi:10.1002/smj.337.
   Web of Science ®Google Scholar
• Toothaker, L. 1994. Multiple regression: Testing and interpreting interactions. Journal of the Operational Research Society 45 (1):119–20. doi:10.1057/jors.1994.16.
   Web of Science ®Google Scholar
• Vandchali Hadi, R., C. Stephen, and C. Shu Ling. 2020. Creating a sustainable supply chain network by adopting relationship management strategies. Journal of Business-To-Business Marketing 27 (2):125–149. doi:10.1080/1051712X.2020.1748354.
   Web of Science ®Google Scholar
• Wang, C. L. 2007. Guanxi vs. relationship marketing: Exploring underlying differences. Industrial Marketing Management 36 (1):81–86. doi:10.1016/j.indmarman.2005.08.002.
   Web of Science ®Google Scholar
• Wang, C. L. 2021. New frontiers and future directions in interactive marketing: Inaugural editorial. Journal of Research in Interactive Marketing 15 (1):1–9. doi:10.1108/JRIM-03-2021-270.
   Web of Science ®Google Scholar
• Wei, R.F., G.J. Zhuang, and F.L. Pang. 2023. Active or passive? Examination of dependency behavior in marketing channels in China. Journal of Business-To-Business Marketing 30 (3):297–310. doi:10.1080/1051712X.2023.2234909.
   Web of Science ®Google Scholar
• Wheeler, A. R., K. J. Harris, and C. J. Sablynski. 2012. Embeddedness, Effort, and Performance. Journal of Applied Social Psychology 42 (S1):E244–E266. doi:10.1111/j.1559-1816.2012.01023.x.
   Google Scholar
• Wong, C., K. H. Lai, T. Cheng, and Y. Lun. 2015. The role of IT-enabled collaborative decision making in inter-organizational information integration to improve customer service performance. International Journal of Production Economics 159:56–65. doi:10.1016/j.ijpe.2014.02.019.
   Web of Science ®Google Scholar
• Wu, X., Q. Wang, L. Wang, and X.-D. Zhao. 2021. Customer integration and the performance of third-party logistics firms: A moderated mediation model. International Journal of Logistics: Research & Applications 26 (6):615–632. doi:10.1080/13675567.2021.1969349.
   Web of Science ®Google Scholar
• Yang, Q., Q. Wang, and X. Zhao. 2019. A taxonomy of transaction-specific investments and its effects on cooperation in logistics outsourcing relationships. International Journal of Logistics: Research & Applications 22 (6):557–75. doi:10.1080/13675567.2018.1552931.
   Web of Science ®Google Scholar
• Yang, H., Y. Zheng, and X. Zhao. 2014. Exploration or exploitation? Small firms’ alliance strategies with large firms. Strategic Management Journal 35 (1):146–57. doi:10.1002/smj.2082.
   Web of Science ®Google Scholar
• Zhang, Y., and M. Hu. 2021. Research on the relationship between data empowerment and service innovation capability of logistics platform enterprise. Mathematical Problems in Engineering 16 (1):20–31. doi:10.1155/2021/9974585.
   Google Scholar
• Zhou, Y., X. Zhang, G. Zhuang, and N. Zhou. 2015. Relational norms and collaborative activities: Roles in reducing opportunism in marketing channels. Industrial Marketing Management 46:147–59. doi:10.1016/j.indmarman.2015.01.014.
   Web of Science ®Google Scholar
• Zobel, A., B. Balsmeier, and H. Chesbrough. 2016. Does patenting help or hinder open innovation? Evidence from new entrants in the solar industry. Industrial and Corporate Change 25 (2):307–31. doi:10.1093/icc/dtw005.
   Web of Science ®Google Scholar