IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v68y2022ics0160791x22000550.html
   My bibliography  Save this article

Impact of business analytics and π-shaped skills on innovative performance: Findings from PLS-SEM and fsQCA

Author

Listed:
  • Hayajneh, Jamal Abdelrahman .M.
  • Elayan, Malek Bakheet Haroun
  • Abdellatif, Mamdouh Abdallah Mohamed
  • Abubakar, A. Mohammed

Abstract

This paper proposes that the relationship between business analytics and innovative performance is somewhat more complex than originally thought, as firms still struggle to leverage the benefits of business analytics and artificial intelligence capabilities. To expand on the scholarship in this area of knowledge, our paper cross-fertilizes the literature by amalgamating business analytics capabilities with π-shaped skills. We draw on resource orchestration theory to examine the effects of business analytics and π-shaped skills on a firm's innovative performance, and the moderating role of π-shaped skills. Field data (n = 450) were obtained from individuals with supervisory positions in large Saudi firms and SMEs and analyzed with PLS-SEM and fsQCA techniques. PLS-SEM results reveal that business analytics and π-shaped skills are relevant antecedents for innovative performance. However, the expected moderating role of π-shaped skills on the relationship between business analytics and innovative performance did not hold. FsQCA results reveal that business analytics and π-shaped skills are sufficient but not necessary conditions for high innovative performance. This paper contributes not only to empirical evidence, but also to theory by furthering our understanding of the emergent π-shaped skills concept. Our findings echo the need to expand inquiry into business analytics and skill sets capabilities for better innovative outputs. Implications for theory and practice are discussed.

Suggested Citation

  • Hayajneh, Jamal Abdelrahman .M. & Elayan, Malek Bakheet Haroun & Abdellatif, Mamdouh Abdallah Mohamed & Abubakar, A. Mohammed, 2022. "Impact of business analytics and π-shaped skills on innovative performance: Findings from PLS-SEM and fsQCA," Technology in Society, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:teinso:v:68:y:2022:i:c:s0160791x22000550
    DOI: 10.1016/j.techsoc.2022.101914
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X22000550
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2022.101914?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    2. MacKenzie, Scott B. & Podsakoff, Philip M., 2012. "Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies," Journal of Retailing, Elsevier, vol. 88(4), pages 542-555.
    3. Kianto, Aino & Sáenz, Josune & Aramburu, Nekane, 2017. "Knowledge-based human resource management practices, intellectual capital and innovation," Journal of Business Research, Elsevier, vol. 81(C), pages 11-20.
    4. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
    5. Kaya, Bahar & Abubakar, A. Mohammed & Behravesh, Elaheh & Yildiz, Harun & Mert, Ibrahim Sani, 2020. "Antecedents of innovative performance: Findings from PLS-SEM and fuzzy sets (fsQCA)," Journal of Business Research, Elsevier, vol. 114(C), pages 278-289.
    6. Jonathan J.J.M. Seddon & Wendy L. Currie, 2017. "A model for unpacking big data analytics in high-frequency trading," Post-Print hal-01404316, HAL.
    7. Aksoy, Hasan, 2017. "How do innovation culture, marketing innovation and product innovation affect the market performance of small and medium-sized enterprises (SMEs)?," Technology in Society, Elsevier, vol. 51(C), pages 133-141.
    8. Li, Zhenhua & Gao, Xuan, 2021. "Makers’ relationship network, knowledge acquisition and innovation performance: An empirical analysis from China," Technology in Society, Elsevier, vol. 66(C).
    9. Singh, Sanjay Kumar & Mazzucchelli, Alice & Vessal, Saeedeh Rezaee & Solidoro, Adriano, 2021. "Knowledge-based HRM practices and innovation performance: Role of social capital and knowledge sharing," Journal of International Management, Elsevier, vol. 27(1).
    10. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    11. Bayrak, Tuncay, 2021. "A framework for decision makers to design a business analytics platform for distributed organizations," Technology in Society, Elsevier, vol. 67(C).
    12. Shah, Tushar R., 2022. "Can big data analytics help organisations achieve sustainable competitive advantage? A developmental enquiry," Technology in Society, Elsevier, vol. 68(C).
    13. Fox, Stephen, 2013. "The innovation big picture: Including effectiveness dependencies, efficiency dependencies, and potential negative effects within the framing of new technologies," Technology in Society, Elsevier, vol. 35(4), pages 306-314.
    14. Mark H. Hansen & Lee T. Perry & C. Shane Reese, 2004. "A Bayesian operationalization of the resource‐based view," Strategic Management Journal, Wiley Blackwell, vol. 25(13), pages 1279-1295, December.
    15. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    16. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
    17. Fox, Stephen, 2016. "Leapfrog skills: Combining vertical and horizontal multi-skills to overcome skill trade-offs that limit prosperity growth," Technology in Society, Elsevier, vol. 47(C), pages 129-139.
    18. Kulkov, Ignat, 2021. "The role of artificial intelligence in business transformation: A case of pharmaceutical companies," Technology in Society, Elsevier, vol. 66(C).
    19. Lepenioti, Katerina & Bousdekis, Alexandros & Apostolou, Dimitris & Mentzas, Gregoris, 2020. "Prescriptive analytics: Literature review and research challenges," International Journal of Information Management, Elsevier, vol. 50(C), pages 57-70.
    20. Duan, Yanqing & Cao, Guangming & Edwards, John S., 2020. "Understanding the impact of business analytics on innovation," European Journal of Operational Research, Elsevier, vol. 281(3), pages 673-686.
    21. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    22. Shahzad, Fakhar & Xiu, GuoYi & Shahbaz, Muhammad, 2017. "Organizational culture and innovation performance in Pakistan's software industry," Technology in Society, Elsevier, vol. 51(C), pages 66-73.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ashrafi, Amir & Zareravasan, Ahad, 2022. "An ambidextrous approach on the business analytics-competitive advantage relationship: Exploring the moderating role of business analytics strategy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    2. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    3. Adilson Carlos Yoshikuni & Rajeev Dwivedi & Ronaldo Gomes Dultra-de-Lima & Claudio Parisi & José Carlos Tiomatsu Oyadomari, 2023. "Role of Emerging Technologies in Accounting Information Systems for Achieving Strategic Flexibility through Decision-Making Performance: An Exploratory Study Based on North American and South American," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 199-218, June.
    4. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    5. Alberto Bertello & Alberto Ferraris & Stefano Bresciani & Paola Bernardi, 2021. "Big data analytics (BDA) and degree of internationalization: the interplay between governance of BDA infrastructure and BDA capabilities," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1035-1055, December.
    6. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
    7. Olabode, Oluwaseun E. & Boso, Nathaniel & Hultman, Magnus & Leonidou, Constantinos N., 2022. "Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity," Journal of Business Research, Elsevier, vol. 139(C), pages 1218-1230.
    8. Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
    9. Zeeshan Ahmed & Shahid Rasool & Qasim Saleem & Mubashir Ali Khan & Shamsa Kanwal, 2022. "Mediating Role of Risk Perception Between Behavioral Biases and Investor’s Investment Decisions," SAGE Open, , vol. 12(2), pages 21582440221, May.
    10. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    11. Adamantios Ntakaris & Martin Magris & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2017. "Benchmark Dataset for Mid-Price Forecasting of Limit Order Book Data with Machine Learning Methods," Papers 1705.03233, arXiv.org, revised Mar 2020.
    12. Jiang, Kangqi & Du, Xinyi & Chen, Zhongfei, 2022. "Firms' digitalization and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Gligor, David & Bozkurt, Siddik, 2020. "FsQCA versus regression: The context of customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    15. Souiden, Nizar & Amara, Nabil & Chaouali, Walid, 2020. "Optimal image mix cues and their impacts on consumers’ purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    16. Issam Laguir & Sachin Modgil & Indranil Bose & Shivam Gupta & Rebecca Stekelorum, 2023. "Performance effects of analytics capability, disruption orientation, and resilience in the supply chain under environmental uncertainty," Annals of Operations Research, Springer, vol. 324(1), pages 1269-1293, May.
    17. Mohammad Asif Salam & Murad Ali & Konan Anderson Seny Kan, 2017. "Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches," Sustainability, MDPI, vol. 9(12), pages 1-17, November.
    18. Inha Oh & Dongnyok Shim, 2020. "IT Adoption and Sustainable Growth of Firms in Different Industries—Are the Benefits Still Expected?," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    19. Benjamin Clapham & Martin Haferkorn & Kai Zimmermann, 2023. "The Impact of High-Frequency Trading on Modern Securities Markets," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 7-24, February.
    20. Lin, Shunzhi & Lin, Jiabao, 2023. "How organizations leverage digital technology to develop customization and enhance customer relationship performance: An empirical investigation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:68:y:2022:i:c:s0160791x22000550. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.