{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T03:28:06Z","timestamp":1785468486585,"version":"3.56.0"},"reference-count":81,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T00:00:00Z","timestamp":1734998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>This research examines the relationship between big data analytics capability (BDAC) and competitive advantage (CA) in China\u2019s agribusiness sector, with a specific focus on the mediating role of absorptive capacity (AC). Although BDAC has been extensively studied in other industries, its role within agribusiness remains underexplored, particularly in developing economies like China. This study addresses this gap by investigating how BDAC can be utilized to enhance competitive advantage in the unique context of agribusiness. Grounded in Resource-Based Theory (RBT), a comprehensive framework is developed to elucidate the interconnections among BDAC, CA, and AC. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on data collected from 287 agribusiness firms in China, the findings reveal that key resources\u2014such as data quality, infrastructure, information systems, data governance, data-driven culture, managerial expertise, and technical proficiency\u2014significantly influence BDAC. Moreover, BDAC is shown to positively impact CA, with AC serving as a critical mediator in this relationship. These results emphasize the strategic importance of integrating BDAC and AC to enhance the competitiveness of agribusinesses, particularly amidst rapid digital transformation. This study provides valuable contributions to the literature on BDAC, enriches the theoretical foundations of RBT in agribusiness contexts, and offers practical recommendations for digital transformation strategies in the sector.<\/jats:p>","DOI":"10.3390\/systems13010003","type":"journal-article","created":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T09:48:58Z","timestamp":1735033738000},"page":"3","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Bridging Big Data Analytics Capability and Competitive Advantage in China\u2019s Agribusiness: The Mediator of Absorptive Capacity"],"prefix":"10.3390","volume":"13","author":[{"given":"Peng","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Management, Zhengzhou Business University, Gongyi 451200, China"},{"name":"School of Management, Universiti Sains Malaysia, Minden 11800, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7580-7058","authenticated-orcid":false,"given":"Ramayah","family":"Thurasamy","sequence":"additional","affiliation":[{"name":"School of Management, Universiti Sains Malaysia, Minden 11800, Malaysia"},{"name":"Department of Information Technology & Management, Daffodil International University, Birulia 1216, Bangladesh"},{"name":"Department of Management, Sunway Business School (SBS), Petaling Jaya 47500, Malaysia"},{"name":"University Center for Research & Development (UCRD), Chandigarh University, Ludhiana 140413, Punjab, India"},{"name":"Faculty of Business, Sohar University, Sohar P.C 311, Oman"},{"name":"School of Business, The University of Jordan (UJ), Amman 11942, Jordan"},{"name":"Faculty of Economics and Business, Universitas Indonesia (UI), Depok City 16424, West Java, Indonesia"},{"name":"Strategic Research Institute, Asia Pacific University of Technology & Innovation (APU), Technology Park, Kuala Lumpur 57000, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"101676","DOI":"10.1016\/j.jengtecman.2022.101676","article-title":"Adopting big data analytics (BDA) in business-to-business (B2B) organizations\u2013Development of a model of needs","volume":"63","author":"Jiwat","year":"2022","journal-title":"J. Eng. Technol. Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"106756","DOI":"10.1016\/j.resconrec.2022.106756","article-title":"Digital transformation and the circular economy: Creating a competitive advantage from the transition towards Net Zero Manufacturing","volume":"189","author":"Okorie","year":"2023","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Yu, M., and Yan, A. (2022). Can Digital Finance Accelerate the Digital Transformation of Companies? From the Perspective of M&A. Sustainability, 14.","DOI":"10.3390\/su142114281"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2305","DOI":"10.1108\/IJPPM-11-2022-0567","article-title":"Big data analytics capability for competitive advantage and firm performance in Malaysian manufacturing firms","volume":"73","author":"Chong","year":"2024","journal-title":"Int. J. Product. Perform. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"De Rijck, P. (2022, January 4\u20137). Unravelling the relationship between a firm\u2019s big data analytics capability and the realization of a competitive advantage: An IT business value approach. Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2022), Honolulu, HI, USA.","DOI":"10.24251\/HICSS.2022.749"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.jbusres.2022.05.009","article-title":"Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19\u2014A multi-theoretical approach","volume":"148","author":"Behl","year":"2022","journal-title":"J. Bus. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1108\/JBIM-09-2021-0425","article-title":"Achieving superior performance in international markets: The roles of organizational agility and absorptive capacity","volume":"38","author":"Cho","year":"2023","journal-title":"J. Bus. Ind. Mark."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1142","DOI":"10.1108\/EJIM-10-2020-0431","article-title":"Big data analytics capabilities and organizational performance: The mediating effect of dual innovations","volume":"25","author":"Su","year":"2022","journal-title":"Eur. J. Innov. Manag."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1621","DOI":"10.1108\/ITP-01-2021-0048","article-title":"The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: A dynamic capability view","volume":"35","author":"Bahrami","year":"2022","journal-title":"Inf. Technol. People"},{"key":"ref_10","unstructured":"Hassen, A., and Chen, B. (2020). Big Data Analytics for Agriculture Input Supply Chain in Ethiopia: Supply Chain Management Professionals Perspective, Linnaeus University. Degree project."},{"key":"ref_11","first-page":"543","article-title":"Urban Green Space Planning and Design Based on Big Data Analysis and BDA-UGSPD Model","volume":"31","author":"Li","year":"2024","journal-title":"Tech. Gaz.\/Teh. Vjesn."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.compag.2017.09.037","article-title":"A review on the practice of big data analysis in agriculture","volume":"143","author":"Kamilaris","year":"2017","journal-title":"Comput. Electron. Agric."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"83220","DOI":"10.1007\/s11356-022-21680-2","article-title":"Evaluating the circular economy\u2013based big data analytics capabilities of circular agri-food supply chains: The context of Turkey","volume":"29","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"123345","DOI":"10.1016\/j.techfore.2024.123345","article-title":"Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach","volume":"203","author":"Zhao","year":"2024","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1108\/eb039075","article-title":"Technology and competitive advantage","volume":"5","author":"Porter","year":"1985","journal-title":"J. Bus. Strategy"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/s13132-020-00708-3","article-title":"Competitive advantage and knowledge absorptive capacity: The mediating role of innovative capability","volume":"13","year":"2022","journal-title":"J. Knowl. Econ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"32","DOI":"10.15649\/2346030X.2583","article-title":"Big Data Analytics in the Agribusiness Supply Chain Management","volume":"9","year":"2021","journal-title":"AiBi Rev. Investig. Adm. Ing."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jbusres.2020.09.023","article-title":"Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation","volume":"123","author":"Ciampi","year":"2021","journal-title":"J. Bus. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"102023","DOI":"10.1016\/j.ijinfomgt.2019.10.008","article-title":"The role of big data analytics capabilities (BDAC) in understanding the challenges of service information and operations management in the sharing economy: Evidence of peer effects in libraries","volume":"51","author":"Albergaria","year":"2020","journal-title":"Int. J. Inf. Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"128","DOI":"10.2307\/2393553","article-title":"Absorptive capacity: A new perspective on learning and innovation","volume":"35","author":"Cohen","year":"1990","journal-title":"Adm. Sci. Q."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"185","DOI":"10.2307\/4134351","article-title":"Absorptive capacity: A review, reconceptualization, and extension","volume":"27","author":"Zahra","year":"2002","journal-title":"Acad. Manag. Rev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"102814","DOI":"10.1016\/j.technovation.2023.102814","article-title":"The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions","volume":"126","author":"Patrucco","year":"2023","journal-title":"Technovation"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zahra, S.A., and George, G. (2000). Absorptive Capacity: A Review and Reconceptualization. Academy of Management Proceedings, Academy of Management.","DOI":"10.5465\/apbpp.2000.5438568"},{"key":"ref_24","first-page":"643","article-title":"Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view","volume":"27","author":"Barney","year":"2001","journal-title":"J. Manag."},{"key":"ref_25","first-page":"99","article-title":"Firm resources and sustained competitive advantage","volume":"17","author":"Barney","year":"1991","journal-title":"J. Manag."},{"key":"ref_26","first-page":"1496","article-title":"Making intangibles \u201ctangible\u201d in tests of resource-based theory: A multidisciplinary construct validation approach","volume":"37","author":"Molloy","year":"2011","journal-title":"J. Manag."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1002\/smj.158","article-title":"Toward a synthesis of the resource-based and dynamic-capability views of rent creation","volume":"22","author":"Makadok","year":"2001","journal-title":"Strateg. Manag. J."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1108\/EJIM-04-2022-0186","article-title":"Can intellectual capital promote the competitive advantage? Service innovation and big data analytics capabilities in a moderated mediation model","volume":"27","author":"Alkhatib","year":"2024","journal-title":"Eur. J. Innov. Manag."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10257-017-0362-y","article-title":"Big data analytics capabilities: A systematic literature review and research agenda","volume":"16","author":"Mikalef","year":"2018","journal-title":"Inf. Syst. E-Bus. Manag."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"103141","DOI":"10.1016\/j.im.2019.01.003","article-title":"Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?","volume":"57","author":"Ruivo","year":"2020","journal-title":"Inf. Manag."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"108135","DOI":"10.1016\/j.ijpe.2021.108135","article-title":"Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture","volume":"236","author":"Yu","year":"2021","journal-title":"Int. J. Prod. Econ."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Purwanto, A., Zuiderwijk, A., and Janssen, M. (2020, January 15\u201319). Citizens\u2019 trust in open government data: A quantitative study about the effects of data quality, system quality and service quality. Proceedings of the 21st Annual International Conference on Digital Government Research, New York, NY, USA.","DOI":"10.1145\/3396956.3396958"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.ijinfomgt.2017.01.003","article-title":"Open data: Quality over quantity","volume":"37","author":"Sadiq","year":"2017","journal-title":"Int. J. Inf. Manag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"711","DOI":"10.5267\/j.uscm.2022.5.004","article-title":"Adoption enablers of big data analytics in supply chain management practices: The moderating role of innovation culture","volume":"10","author":"Juma","year":"2022","journal-title":"Uncertain Supply Chain Manag."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"e1549","DOI":"10.1002\/wics.1549","article-title":"Challenges and opportunities beyond structured data in analysis of electronic health records","volume":"13","author":"Tayefi","year":"2021","journal-title":"Wiley Interdiscip. Rev. Comput. Stat."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1007\/s10997-020-09542-w","article-title":"Big data analytics (BDA) and degree of internationalization: The interplay between governance of BDA infrastructure and BDA capabilities","volume":"25","author":"Bertello","year":"2021","journal-title":"J. Manag. Gov."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1108\/IJLM-06-2020-0255","article-title":"How big data analytics use improves supply chain performance: Considering the role of supply chain and information system strategies","volume":"33","author":"Wei","year":"2022","journal-title":"Int. J. Logist. Manag."},{"key":"ref_38","unstructured":"Webber, K.L., and Zheng, H. (2020). Data analytics and the imperatives for data-informed decision-making in higher education. Big Data Campus Data Anal. Decis. Mak. High. Educ., 3\u201329."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"119253","DOI":"10.1016\/j.techfore.2018.03.024","article-title":"Big data analytics: Computational intelligence techniques and application areas","volume":"153","author":"Iqbal","year":"2020","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.ijinfomgt.2019.07.008","article-title":"Data governance: A conceptual framework, structured review, and research agenda","volume":"49","author":"Abraham","year":"2019","journal-title":"Int. J. Inf. Manag."},{"key":"ref_41","unstructured":"Ladley, J. (2019). Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program, Academic Press."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"103361","DOI":"10.1016\/j.im.2020.103361","article-title":"The role of information governance in big data analytics driven innovation","volume":"57","author":"Mikalef","year":"2020","journal-title":"Inf. Manag."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1007\/s10479-020-03887-z","article-title":"Does data-driven culture impact innovation and performance of a firm? An empirical examination","volume":"333","author":"Chatterjee","year":"2024","journal-title":"Ann. Oper. Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1007\/s11948-019-00171-7","article-title":"Big data, big waste? A reflection on the environmental sustainability of big data initiatives","volume":"26","author":"Lucivero","year":"2020","journal-title":"Sci. Eng. Ethics"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Storm, M., and Borgman, H. (2020, January 7\u201310). Understanding challenges and success factors in creating a data-driven culture. Proceedings of the 53rd Hawaii International Conference on System Sciences, Maui, HI, USA.","DOI":"10.24251\/HICSS.2020.663"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1111\/1467-8551.12333","article-title":"Big data-savvy teams\u2019 skills, big data-driven actions and business performance","volume":"30","author":"Akhtar","year":"2019","journal-title":"Br. J. Manag."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.ijpe.2016.08.018","article-title":"How to improve firm performance using big data analytics capability and business strategy alignment?","volume":"182","author":"Akter","year":"2016","journal-title":"Int. J. Prod. Econ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"102972","DOI":"10.1016\/j.tre.2022.102972","article-title":"Supply chain management professionals\u2019 proficiency in big data analytics: Antecedents and impact on performance","volume":"169","author":"Schoenherr","year":"2023","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"104559","DOI":"10.1016\/j.resconrec.2019.104559","article-title":"Big data analytics as an operational excellence approach to enhance sustainable supply chain performance","volume":"153","author":"Bag","year":"2020","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1007\/s42488-022-00080-8","article-title":"Adoption of big data analytics in marketing: An analysis in Bangladesh","volume":"4","author":"Faruk","year":"2022","journal-title":"J. Data Inf. Manag."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1177\/01655515211047425","article-title":"Boosting innovation performance through big data analytics: An empirical investigation on the role of firm agility","volume":"49","author":"ZareRavasan","year":"2023","journal-title":"J. Inf. Sci."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1080\/09537287.2020.1810755","article-title":"Big data analytics in turbulent contexts: Towards organizational change for enhanced agility","volume":"33","author":"Barlette","year":"2022","journal-title":"Prod. Plan. Control"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"18479790221141537","DOI":"10.1177\/18479790221141537","article-title":"The impact of big data analytics on organizational sustainability: The influencing factors of autonomous research and development and absorptive capacity","volume":"14","author":"Arshad","year":"2022","journal-title":"Int. J. Eng. Bus. Manag."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"100201","DOI":"10.1016\/j.jik.2022.100201","article-title":"Knowledge absorption capacity\u2019s efficacy to enhance innovation performance through big data analytics and digital platform capability","volume":"7","author":"Khan","year":"2022","journal-title":"J. Innov. Knowl."},{"key":"ref_55","first-page":"680","article-title":"Unveiling the effects of big data analytics capability on innovation capability through absorptive capacity: Why more and better insights matter","volume":"36","author":"Lozada","year":"2023","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"774","DOI":"10.5465\/amr.2007.25275513","article-title":"Absorptive capacity: Valuing a reconceptualization","volume":"32","author":"Todorova","year":"2007","journal-title":"Acad. Manag. Rev."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1016\/j.im.2016.07.004","article-title":"Toward the development of a big data analytics capability","volume":"53","author":"Gupta","year":"2016","journal-title":"Inf. Manag."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Riggins, F.J., and Wamba, S.F. (2015, January 5\u20138). Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. Proceedings of the 2015 48th Hawaii International Conference on System Sciences, Kauai, HI, USA.","DOI":"10.1109\/HICSS.2015.186"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"2655","DOI":"10.1007\/s11846-022-00596-8","article-title":"Big data analytics management capability and firm performance: The mediating role of data-driven culture","volume":"17","author":"Karaboga","year":"2023","journal-title":"Rev. Manag. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"103169","DOI":"10.1016\/j.im.2019.05.004","article-title":"Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities","volume":"57","author":"Mikalef","year":"2020","journal-title":"Inf. Manag."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"120808","DOI":"10.1016\/j.techfore.2021.120808","article-title":"The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis","volume":"169","author":"AlNuaimi","year":"2021","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"5206","DOI":"10.1080\/00207543.2018.1427900","article-title":"Investments in big data analytics and firm performance: An empirical investigation of direct and mediating effects","volume":"56","author":"Raguseo","year":"2018","journal-title":"Int. J. Prod. Res."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"123001","DOI":"10.1016\/j.techfore.2023.123001","article-title":"Intangible resources, static and dynamic capabilities and perceived competitive advantage in exporting firms. A PLS-SEM\/fsQCA approach","volume":"198","year":"2024","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1002\/mar.21045","article-title":"Family firm performance: The influence of entrepreneurial orientation and absorptive capacity","volume":"34","year":"2017","journal-title":"Psychol. Mark."},{"key":"ref_65","unstructured":"Ramayah, T., Cheah, J., Chuah, F., Ting, H., and Memon, M.A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0. Updat. Guide Pract. Guide Stat. Anal., 967\u2013978."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M., Danks, N.P., and Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook, Springer Nature.","DOI":"10.1007\/978-3-030-80519-7"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1111\/j.1467-8551.2006.00500.x","article-title":"Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration","volume":"17","author":"Diamantopoulos","year":"2006","journal-title":"Br. J. Manag."},{"key":"ref_68","first-page":"295","article-title":"The partial least squares approach to structural equation modeling","volume":"295","author":"Chin","year":"1998","journal-title":"Mod. Methods Bus. Res."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.jwb.2016.12.003","article-title":"From the editors: New directions in the reporting of statistical results in the Journal of World Business","volume":"52","author":"Hahn","year":"2017","journal-title":"J. World Bus."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"2322","DOI":"10.1108\/EJM-02-2019-0189","article-title":"Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict","volume":"53","author":"Shmueli","year":"2019","journal-title":"Eur. J. Mark."},{"key":"ref_71","unstructured":"De Rijck, P. (2023). The Impact of a Company\u2019s (Big) Data Analytics Capability on Firm Performance, Decision-Making and Management Control. [Ph.D. Thesis, University of Antwerp]."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1939427","DOI":"10.1080\/17517575.2021.1939427","article-title":"Big data analytics capabilities: A novel integrated fitness framework based on a tool-based content analysis","volume":"17","author":"Pathak","year":"2023","journal-title":"Enterp. Inf. Syst."},{"key":"ref_73","unstructured":"Sjusdal, A.P.A., and Lunde, T.\u00c5. (2019). Organizational Culture as a Primary Driver for Utilizing Big Data Analytics in Organizations. [Master\u2019s Thesis, University of Agder]."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Singh, G.K., Dadhich, M., Chouhan, V., and Sharma, A. (2021, January 17\u201318). Impact of Big Data Analytics & Capabilities on Supply Chain Management (SCM)-An Analysis of Indian Cement Industry. Proceedings of the 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India.","DOI":"10.1109\/ICAC3N53548.2021.9725531"},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Hongyun, T., Sohu, J.M., Khan, A.U., Junejo, I., Shaikh, S.N., Akhtar, S., and Bilal, M. (2023). Navigating the digital landscape: Examining the interdependencies of digital transformation and big data in driving SMEs\u2019 innovation performance. Kybernetes, ahead of print.","DOI":"10.1108\/K-07-2023-1183"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Ramadan, M., Shuqqo, H., Qtaishat, L., Asmar, H., and Salah, B. (2020). Sustainable competitive advantage driven by big data analytics and innovation. Appl. Sci., 10.","DOI":"10.3390\/app10196784"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1080\/09537325.2020.1740192","article-title":"Information technology and firm performance: Mediation role of absorptive capacity and corporate entrepreneurship in manufacturing SMEs","volume":"32","author":"Rehman","year":"2020","journal-title":"Technol. Anal. Strateg. Manag."},{"key":"ref_78","first-page":"303","article-title":"How to flourish under constraints: Imitation or innovation? the mediation role of innovation and absorptive capacity on firm performance","volume":"26","author":"Akbari","year":"2024","journal-title":"J. Res. Mark. Entrep."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1108\/IJLM-03-2022-0125","article-title":"Mobilising big data analytics capabilities to improve performance of tourism supply chains: The moderating role of dynamic capabilities","volume":"35","author":"Gupta","year":"2024","journal-title":"Int. J. Logist. Manag."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1007\/s10479-021-04390-9","article-title":"The role of alliance management, big data analytics and information visibility on new-product development capability","volume":"333","author":"Dubey","year":"2024","journal-title":"Ann. Oper. Res."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1287\/isre.13.2.147.90","article-title":"The net-enabled business innovation cycle and the evolution of dynamic capabilities","volume":"13","author":"Zahra","year":"2002","journal-title":"Inf. Syst. Res."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/1\/3\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:59:29Z","timestamp":1760115569000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/1\/3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,24]]},"references-count":81,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["systems13010003"],"URL":"https:\/\/doi.org\/10.3390\/systems13010003","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,24]]}}}