Purpose: This study empirically investigates the effect of big data analytics (BDA) on project success (PS). Additionally, in this study, the investigation includes an examination of how intellectual capital (IC) and (KS) act as mediators in the correlation between BDA and KS. Lastly, a connection between entrepreneurial leadership (EL) and BDA is also explored. Design/Methodology- Using a sample of 422 senior-level employees from the IT sector in Peru. The partial least squares structural equation modeling technique tested the hypothesized relationships. Findings- According to the findings, the relationship between BDA and PS is mediated by structural capital (SC) and relational capital (RC), and BDA demonstrates a positive and noteworthy correlation with PS. Furthermore, EL is positively associated with BDA in a significant manner. Practical implications- The finding of this study reinforce the corporate experience of BDA and suggest how senior levels of the IT sector can promote SC, RC, and EL. Originality/Value- This study is one of the first to consider big data analytics as an important antecedent of project success. With little or no research on the interrelationship of big data analytics, intellectual capital and knowledge sharing the study contributes by investigating the mediating role of intellectual capital and knowledge sharing on the relationship between big data analytics and project success.

Aga DA, Noorderhaven N, Vallejo B (2016). Transformational leadership and project success: The mediating role of team-building. International Journal of Project Management 34(5): 806–818. doi: 10.1016/j.ijproman.2016.02.012

Ahlfänger M, Gemünden HG, Leker J (2022). Balancing knowledge sharing with protecting: The efficacy of formal control in open innovation projects. International Journal of Project Management 40(2): 105–119. doi: 10.1016/j.ijproman.2021.09.007

Ahmed R, Shaheen S, Philbin SP (2022). The role of BDA and decision-making in achieving project success. Journal of Engineering and Technology Management 65: 101697. doi: 10.1016/j.jengtecman.2022.101697

Alblas A (2022). Globally distributed technology projects thrive on experience working together apart: Impacts of team balance, task balance, and task heterogeneity. Journal of Operations Management 68(6–7): 728–754. doi: 10.1002/joom.1206

Alghail A, Yao L, Abbas M, Baashar Y (2022). Assessment of knowledge process capabilities toward project management maturity: an empirical study. Journal of Knowledge Management 26(5): 1207–1234. doi: 10.1108/JKM-03-2021-0180

Al-Khatib AW (2022). Intellectual capital and innovation performance: The moderating role of big data analytics: Evidence from the banking sector in Jordan. Euro Med Journal of Business 17(3): 391–423. doi: 10.1108/EMJB-10-2021-0154

Alkhatib AW, Valeri M (2022). Can intellectual capital promote the competitive advantage? Service innovation and big data analytics capabilities in a moderated mediation model. European Journal of Innovation Management. doi: 10.1108/EJIM-04-2022-0186

AlNuaimi BK, Khan M, Ajmal MM (2021). The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis. Technological Forecasting and Social Change 169: 120808. doi: 10.1016/j.techfore.2021.120808

Alves JL, Nadae JD, Carvalho MMD. (2022). Knowledge management enablers and barriers: exploring the moderating effect of communication barriers. International Journal of Managing Projects in Business 15(7): 1091–1122. doi: 10.1108/IJMPB-02-2022-0047

Angrave D, Charlwood A, Kirkpatrick I, et al. (2016). HR and analytics: Why HR is set to fail the big data challenge. Human resource management journal 26(1): 1–11. doi: 10.1111/1748-8583.12090

Anshari M, Almunawar MN, Lim SA, Al-Mudimigh A (2019). Customer relationship management and big data enabled: Personalization and customization of services. Applied Computing and Informatics 15(2): 94–101. doi: 10.1016/j.aci.2018.05.004

Awan U, Bhatti SH, Shamim S, et al. (2022). The role of big data analytics in manufacturing agility and performance: Moderation–mediation analysis of organizational creativity and of the involvement of customers as data analysts. British Journal of Management 33(3): 1200–1220. doi: 10.1111/1467-8551.12549

Azeem M, Ahmed M, Haider S, Sajjad M (2021). Expanding competitive advantage through organizational culture, knowledge sharing, and organizational innovation. Technology in Society 66: 101635. doi: 10.1016/j.techsoc.2021.101635

Babu MM, Rahman M, Alam A, Dey BL (2021). Exploring big data-driven innovation in the manufacturing sector: evidence from UK firms. Annals of Operations Research 1–28. doi: 10.1007/s10479-021-04077-1

Bag S, Wood LC, Xu L, et al. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, Conservation and Recycling 153: 104559. doi: 10.1016/j.resconrec.2019.104559

Bahrami M, Shokouhyar S (2022). The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: A dynamic capability view. Information Technology and People 35(5): 1621–1651. doi: 10.1108/ITP-01-2021-0048

Barney JB (2001). Is the resource-based “View” a useful perspective for strategic management research? Yes. Academy of Management Review 26: 41–56. doi: 10.5465/amr.2001.4011938

Batko K, Ślęzak A (2022). The use of Big Data Analytics in healthcare. Journal of Big Data 9(1): 3. doi: 10.1186/s40537-021-00553-4

Behl A, Gaur J, Pereira V, et al. (2022). Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19–A multi-theoretical approach. Journal of Business Research 148: 378–389. doi: 10.1016/j.jbusres.2022.05.009

Belout A, Gauvreau C (2004). Factors influencing project success: The impact of human resource management. International Journal of Project Management 22(1): 1–11. doi: 10.1016/S0263-7863(03)00003-6

Benevene P, Cortini M (2010). Interaction between structural capital and human capital in Italian NPOs: Leadership, organizational culture and human resource management. Journal of Intellectual Capital 11(2): 123–139. doi: 10.1108/14691931011039642

Berraies S, Chouiref A (2022). Exploring the effect of team climate on knowledge management in teams through team work engagement: Evidence from knowledge-intensive firms. Journal of Knowledge Management 27(3): 842–869. doi: 10.1108/JKM-09-2021-0720

Blomster M, Koivumäki T (2022). Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing. Information Systems and e-Business Management 20(1): 123–169. doi: 10.1007/s10257-021-00547-y

Calabrò A, Torchia M, Jimenez DG, Kraus S (2021). The role of human capital on family firm innovativeness: the strategic leadership role of family board members. International Entrepreneurship and Management Journal 17: 261–287. doi: 10.1007/s11365-020-00657-y

Cetindamar D, Shdifat B, Erfani E (2022). Understanding big data analytics capability and sustainable supply chains. Information Systems Management 39(1): 19–33. doi: 10.1080/10580530.2021.1900464

Chen J, Zhu Z, Xie HY (2004). Measuring intellectual capital: A new model and empirical study. Journal of Intellectual Capital 5(1): 195–212. doi: 10.1108/14691930410513003

Chowdhury S, Dey P, Joel-Edgar S, et al. (2023). Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review 33(1): 100899. doi: 10.1016/j.hrmr.2022.100899

Ciasullo MV, Montera R, Douglas A (2022). Building SMEs’ resilience in times of uncertainty: The role of big data analytics capability and co-innovation. Transforming Government: People, Process and Policy 16(2): 203–217. doi: 10.1108/TG-07-2021-0120

Ciasullo MV, Montera R, Douglas A (2022). Building SMEs’ resilience in times of uncertainty: The role of big data analytics capability and co-innovation. Transforming Government: People, Process and Policy 16(2): 203–217. doi: 10.1108/TG-07-2021-0120

Civera C, Casalegno C, Couturier J, et al. (2023). Discovering and nurturing local key stakeholders’ talent in emerging economies: using fsQCA to test the external human resources approach. The International Journal of Human Resource Management 34(14): 2637–2676. doi： 10.1080/09585192.2022.2047754

Cogliser CC, Brigham KH (2004). The intersection of leadership and entrepreneurship: Mutual lessons to be learned. The Leadership Quarterly 15(6): 771–799. doi: 10.1016/j.leaqua.2004.09.004

Cooper C, Pereira V, Vrontis D, and Liu Y (2023). Extending the resource and knowledge based view: Insights from new contexts of analysis. Journal of Business Research 156: 113523. doi: 10.1016/j.jbusres.2022.113523

Cunningham JB, Lischeron J (1991). Defining entrepreneurship. Journal of Small Business Management 29(1): 45–61.

De Leaniz PMG, Del Bosque IR (2013). Intellectual capital and relational capital: The role of sustainability in developing corporate reputation. Intangible Capital 9(1): 262–280. doi: 10.3926/ic.378

Del Vecchio P, Mele G, Siachou E, Schito G (2022). A structured literature review on Big Data for customer relationship management (CRM): Toward a future agenda in international marketing. International Marketing Review 39(5): 1069–1092. doi: 10.1108/IMR-01-2021-0036

Dwivedi A, Moktadir MA, Jabbour CJC, de Carvalho DE (2022). Integrating the circular economy and industry 4.0 for sustainable development: Implications for responsible footwear production in a big data-driven world. Technological Forecasting and Social Change 175: 121335. doi: 10.1016/j.techfore.2021.121335

Erevelles S, Fukawa N, Swayne L (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

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. doi: 10.1108/MD-07-2018-0825

Fosso Wamba S, Gunasekaran A, Papadopoulos T, Ngai E (2018). Big data analytics in logistics and supply chain management. The International Journal of Logistics Management 29(2): 478–484. doi: 10.1108/IJLM-02-2018-0026

Frisk JE, Bannister F (2017). Improving the use of analytics and big data by changing the decision-making culture: A design approach. Management Decision 55(10): 2074-2088. doi: 10.1108/MD-07-2016-0460

Gao J, Sarwar Z (2022). How do firms create business value and dynamic capabilities by leveraging big data analytics management capability? Information Technology and Management. doi: 10.1007/s10799-022-00380-w

Gravili G, Manta F, Cristofaro CL, et al. (2021). Value that matters: Intellectual capital and big data to assess performance in healthcare. An empirical analysis on the European context. Journal of Intellectual Capital 22(2): 260–289. doi: 10.1108/JIC-02-2020-0067

Grover V, Chiang RH, Liang TP, Zhang D (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

Gupta M, George JF (2016). Toward the development of a big data analytics capability. Information and Management 53(8): 1049–1064. doi: 10.1016/j.im.2016.07.004

Hair Jr JF, Hult GT, Ringle CM, et al. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A workbook. Springer Nature.

Harlow HD (2018). Developing a knowledge management strategy for data analytics and intellectual capital. Meditari Accountancy Research 26(3): 400–419. doi: 10.1108/MEDAR-09-2017-0217

He W, Wang FK, Akula V (2017). Managing extracted knowledge from big social media data for business decision making. Journal of Knowledge Management. 21(2): 275–294. doi: 10.1108/JKM-07-2015-0296

Hetemi E, Ordieres J, Nuur C (2022). Inter-organisational collaboration and knowledge-work: A contingency framework and evidence from a megaproject in Spain. Knowledge Management Research and Practice 20(4): 641–653. doi: 10.1080/14778238.2022.2027827

Horng, JS, Liu CH, Chou SF, et al. (2022). Role of big data capabilities in enhancing competitive advantage and performance in the hospitality sector: Knowledge-based dynamic capabilities view. Journal of Hospitality and Tourism Management 51: 22–38. doi: 10.1016/j.jhtm.2022.02.026

Hsu YH, Fang W (2009). Intellectual capital and new product development performance: The mediating role of organizational learning capability. Technological Forecasting and Social Change 76(5): 664–677. doi: 10.1016/j.techfore.2008.03.012

Ika LA, Pinto JK (2022). The “re-meaning” of project success: Updating and recalibrating for a modern project management. International Journal of Project Management 40(7): 835–848. doi: 10.1016/j.ijproman.2022.08.001

Imam H, Zaheer MK (2021). Shared leadership and project success: The roles of knowledge sharing, cohesion and trust in the team. International Journal of Project Management 39(5): 463–473. doi: 10.1016/j.ijproman.2021.02.006

Iqbal A, Latif F, Marimon F, et al. (2018). From knowledge management to organizational performance: Modelling the mediating role of innovation and intellectual capital in higher education. Journal of Enterprise Information Management 32(1): 36–59. doi: 10.1108/JEIM-04-2018-0083

Istepanian RS, Al-Anzi T (2018). m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics. Methods 151: 34–40. doi: 10.1016/j.ymeth.2018.05.015

Itani OS, Badrinarayanan V, Rangarajan D (2023). The impact of business-to-business salespeople’s social media use on value co-creation and cross/up-selling: The role of social capital. European Journal of Marketing 57(3): 683–717. doi: 10.1108/EJM-11-2021-0916

Karagoz Y, Whiteside N, Korthaus A (2020). Context matters: Enablers and barriers to knowledge sharing in Australian public sector ICT projects. Journal of Knowledge Management 24(8): 1921–1941. doi: 10.1108/JKM-12-2019-0691

Khan SAR, Piprani AZ, Yu Z (2023). Supply chain analytics and post-pandemic performance: Mediating role of triple-A supply chain strategies. International Journal of Emerging Markets 18(6): 1330–1354. doi: 10.1108/IJOEM-11-2021-1744

Korherr P, Kanbach D (2023). Human-related capabilities in big data analytics: A taxonomy of human factors with impact on firm performance. Review of Managerial Science 17(6): 1943–1970. doi: 10.1007/s11846-021-00506-4

Kucharska W (2022). Tacit knowledge influence on intellectual capital and innovativeness in the healthcare sector: A cross-country study of Poland and the US. Journal of Business Research 149: 869–883. doi: 10.1016/j.jbusres.2022.05.059

Lai Y, Sun H, Ren J (2018). Understanding the determinants of big data analytics (BDA) adoption in logistics and supply chain management: An empirical investigation. The International Journal of Logistics Management 29(2): 676–703. doi: 10.1108/IJLM-06-2017-0153

Lin S, Lin J, Han F, Luo XR (2022). How big data analytics enables the alliance relationship stability of contract farming in the age of digital transformation. Information and Management 59(6): 103680. doi: 10.1016/j.im.2022.103680

Lindblom J, Martins JT (2022). Knowledge transfer for R&D‐sales cross‐functional cooperation: Unpacking the intersections between institutional expectations and human resource practices. Knowledge and Process Management 29(4): 418–433. doi: 10.1002/kpm.1726

Lutfi A, Alrawad M, Alsyouf A, et al. (2023). Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling. Journal of Retailing and Consumer Services 70: 103129. doi: 10.1016/j.jretconser.2022.103129

Mangla SK, Raut R, Narwane VS,et al. (2021). Mediating effect of big data analytics on project performance of small and medium enterprises. Journal of Enterprise Information Management 34(1): 168–198. doi: 10.1108/JEIM-12-2019-0394

Marinho AJC, Couto J (2022). Contribution to improvement of knowledge management in the construction industry-Stakeholders’ perspective on implementation in the largest construction companies. Cogent Engineering 9(1): 2132652. doi: 10.1080/23311916.2022.2132652

Martinsuo M, Ahola T (2022). Multi-project management in inter-organizational contexts. International Journal of Project Management 40(7): 813–826. doi: 10.1016/j.ijproman.2022.09.003

McAfee A, Brynjolfsson E, Davenport TH, et al. (2012). Big data: The management revolution. Harvard Business Review 90(10): 60–68.

Mikalef P, Boura M, Lekakos G, Krogstie J (2019). Big data analytics and firm performance: Findings from a mixed-method approach. Journal of Business Research 98: 261–276. doi: 10.1016/j.jbusres.2019.01.044

Mikalef P, Krogstie J, Pappas IO, Pavlou P (2020). Exploring the relationship between BDA capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information and Management 57(2): 103169. doi: 10.1016/j.im.2019.05.004

Mikalef P, Pappas IO, Krogstie J, Giannakos M (2018). Big data analytics capabilities: A systematic literature review and research agenda. Information Systems and E-business Management 16, 547–578. doi: 10.1007/s10257-017-0362-y

Moraes GHSMD, Pelegrini GC, de Marchi LP, et al. (2022). Antecedents of big data analytics adoption: An analysis with future managers in a developing country. The Bottom Line 35(2/3): 73–89. doi: 10.1108/BL-06-2021-0068

Moreno A, Navarro C, Fuentes-Lara C (2022). Factors affecting turnover intentions among Millennial public relations professionals: The Latin American case. Public Relations Inquiry 11(2): 199–220. doi: 10.1177/2046147X221081176

Müller O, Junglas I, Brocke JV, Debortoli S (2016). Utilizing big data analytics for information systems research: Challenges, promises and guidelines. European Journal of Information Systems 25(4): 289–302. doi: 10.1057/ejis.2016.2

Ng KYN (2022). Effects of organizational culture, affective commitment and trust on knowledge-sharing tendency. Journal of Knowledge Management; in press.

Nguyen M (2022). I see myself in my leader: Transformational leadership and its impact on employees’ technology-mediated knowledge sharing in professional service firms. Journal of Service Theory and Practice 33(2): 257–279. doi: 10.1108/JSTP-04-2022-0093

Norena-Chavez D and Thalassinos E (2023). Fueling innovation performance through entrepreneurial leadership: Assessing the neglected mediating role of intellectual capital. Journal of Infrastructure, Policy and Development 7(1): 2020. doi: 10.24294/jipd.v7i1.2020

Obondi K (2022). The utilization of project risk monitoring and control practices and their relationship with project success in construction projects. Journal of Project Management 7(1): 35–52. doi: 10.5267/j.jpm.2021.7.002

Oesterreich TD, Anton E, Teuteberg F, Dwivedi YK (2022). The role of the social and technical factors in creating business value from big data analytics: A meta-analysis. Journal of Business Research 153: 128–149. doi: 10.1016/j.jbusres.2022.08.028

Pant P, Dutta S, Sarmah SP (2022). Supply chain relational capital and firm performance: an empirical enquiry from India. International Journal of Emerging Markets; in press.

Park M, Singh NP (2023). Predicting supply chain risks through big data analytics: Role of risk alert tool in mitigating business disruption. Benchmarking: An International Journal 30(5): 1457–1484. doi: 10.1108/BIJ-03-2022-0169

Patnaik S, Munjal S, Varma A, Sinha S (2022). Extending the resource-based view through the lens of the institution-based view: A longitudinal case study of an Indian higher educational institution. Journal of Business Research 147: 124–141. doi: 10.1016/j.jbusres.2022.03.091

Pundziene A, Gutmann T, Schlichtner M, Teece DJ (2022). Value impedance and dynamic capabilities: the case of MedTech Incumbent-Born digital healthcare platforms. California Management Review 64(4): 108–134. doi: 10.1177/00081256221099326

Pütz L, Schell S, Werner A (2023). Openness to knowledge: Does corporate social responsibility mediate the relationship between familiness and absorptive capacity? Small Business Economics 60(4): 1449–1482. doi: 10.1007/s11187-022-00671-0

Radhakrishnan A, Zaveri J, David D, Davis JS (2022). The impact of project team characteristics and client collaboration on project agility and project success: An empirical study. European Management Journal 40(5): 758–777. doi: 10.1016/j.emj.2021.09.011

Ram J, Zhang Z (2022). Examining the needs to adopt big data analytics in B2B organizations: Development of propositions and model of needs. Journal of Business and Industrial Marketing 37(4): 790–809. doi: 10.1108/JBIM-10-2020-0464

Renko M, El Tarabishy A, Carsrud AL, Brännback M (2015). Understanding and measuring entrepreneurial leadership style. Journal of Small Business Management 53(1): 54–74. doi: 10.1111/jsbm.12086

SanClements MD, Record S, Rose KC, et al. (2022). People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks. Ecosphere 13(11): e4262. doi: 10.1002/ecs2.4262

Sarabi A, Froese FJ, Chng DH, Meyer KE (2020). Entrepreneurial leadership and MNE subsidiary performance: The moderating role of subsidiary context. International Business Review 29(3): 101672. doi: 10.1016/j.ibusrev.2020.101672

Shan S, Luo Y, Zhou Y, Wei Y (2019). Big data analysis adaptation and enterprises’ competitive advantages: The perspective of dynamic capability and resource-based theories. Technology Analysis & Strategic Management 31(4): 406–420. doi: 10.1080/09537325.2018.1516866

Shehzad MU, Zhang J, Alam S, Cao Z (2022). Determining the role of sources of knowledge and IT resources for stimulating firm innovation capability: A PLS-SEM approach. Business Process Management Journal 28(4): 905–935. doi: 10.1108/BPMJ-09-2021-0574

Singh RK, Agrawal S, Modgil S (2022). Developing human capital 4.0 in emerging economies: An industry 4.0 perspective. International Journal of Manpower 43(2): 286–309. doi: 10.1108/IJM-03-2021-0159

Sleep S, Gala P, Harrison DE (2023). Removing silos to enable data-driven decisions: The importance of marketing and IT knowledge, cooperation, and information quality. Journal of Business Research 156: 113471. doi: 10.1016/j.jbusres.2022.113471

Tao D, Yang P, Feng H (2020). Utilization of text mining as a big data analysis tool for food science and nutrition. Comprehensive Reviews in Food Science and Food Safety 19(2): 875–894. doi: 10.1111/1541-4337.12540

Teece DJ, Pisano G, Shuen A (1997). Dynamic capabilities and strategic management. Strategic Management Journal 18(7): 509–533. doi: 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z

Troisi O, Maione G, Grimaldi M, Loia F (2020). Growth hacking: Insights on data-driven decision-making from three firms. Industrial Marketing Management 90: 538–557. doi: 10.1016/j.indmarman.2019.08.005

Vassakis K, Petrakis E, Kopanakis I (2018). Big data analytics: Applications, prospects and challenges. In: Mobile Big Data: A Roadmap from Models to Technologies. Springer. pp. 3–20.

Vassakis K, Petrakis E, Kopanakis I, Makridis J (2023). Big data analytics on location-based social networks for knowledge generation in tourism-the case of Crete Island. International Journal of Technology Marketing 17(1): 99–123. doi: 10.1504/IJTMKT.2023.127350

Wang X, Um KH, Wang S, Kang M (2022). The mediating role of key supplier adaptability and involvement in the relationship between supplier relationship management and NPD project success. Operations Management Research 1–14. doi: 10.1007/s12063-022-00325-0

Wang Y, Kung L, Byrd TA (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change 126: 3–13. doi: 10.1016/j.techfore.2015.12.019

Wang Y, Kung L, Gupta S, Ozdemir S (2019). Leveraging big data analytics to improve quality of care in healthcare organizations: A configurational perspective. British Journal of Management 30(2): 362–388. doi: 10.1111/1467-8551.12332

Wang Z, Cai S, Liang H, et al. (2021). Intellectual capital and firm performance: The mediating role of innovation speed and quality. The International Journal of Human Resource Management 32(6): 1222–1250. doi: 10.1080/09585192.2018.1511611

Waqas M, Honggang X, Ahmad N, et al. (2021). Big data analytics as a roadmap towards green innovation, competitive advantage and environmental performance. Journal of Cleaner Production 323: 128998. doi: 10.1016/j.jclepro.2021.128998

Xu J, Yu Y, Wu Y, et al. (2022). Green supply chain management for operational performance: Anteceding impact of corporate social responsibility and moderating effects of relational capital. Journal of Enterprise Information Management 35(6): 1613–1638. doi: 10.1108/JEIM-06-2021-0260

Yang E, Bayapu I (2020). Big Data analytics and facilities management: A case study. Facilities 38(3/4): 268–281. doi: 10.1108/F-01-2019-0007

Youndt MA, Snell SA (2004). Human resource configurations, intellectual capital, and organizational performance. Journal of Managerial Issues 337–360.

Young R, Poon S (2013). Top management support—almost always necessary and sometimes sufficient for success: Findings from a fuzzy set analysis. International Journal of Project Management 31(7): 943–957. doi: 10.1016/j.ijproman.2012.11.013

Yu Y, Hao JX, Dong XY, Khalifa M (2013). A multilevel model for effects of social capital and knowledge sharing in knowledge-intensive work teams. International Journal of Information Management 33(5): 780–790. doi: 10.1016/j.ijinfomgt.2013.05.005

Yu Y, Zhang M, Huo, B. (2021). The impact of relational capital on green supply chain management and financial performance. Production Planning & Control 32(10): 861–874. doi: 10.1080/09537287.2020.1774675

Zarezadeh ZZ, Rastegar R, Xiang Z (2022). Big data analytics and hotel guest experience: A critical analysis of the literature. International Journal of Contemporary Hospitality Management 34(6): 2320–2336. doi: 10.1108/IJCHM-10-2021-1293

Zhang H, Zang Z, Zhu H, et al. (2022). Big data-assisted social media analytics for business model for business decision making system competitive analysis. Information Processing and Management 59(1): 102762. doi: 10.1016/j.ipm.2021.102762

Zhong X, Chen W, Ren G (2022). Continuous innovation failure, top management team relational capital and the overseas R&D activities of companies in emerging economies. Industry and Innovation 29(5): 623–648. doi: 10.1080/13662716.2021.2007759