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HUMAN RESOURCES ANALYTICS MATURITY SCALE: A SCALE DEVELOPMENT STUDY

Year 2022, , 459 - 489, 26.12.2022
https://doi.org/10.54452/jrb.1107177

Abstract

In the early 2000s, human resources analytics (HR analytics), emerged as a savior to reveal the strategic importance of HR departments and has begun to be used by many organizations today around the world. Recently, there has been increasing interest in using HR analytics in Turkey as well. Data-based HR management is likely to gain more importance in terms of the development of organizational models shaped by new technologies and sustainable change. In that respect, HR analytics has the potential to be an important and effective tool of this agenda. The concept of HR analytics maturity focuses on the assessment of organizations’ HR analytics capability.
In this context, the aim of this research is to develop a valid and reliable measurement tool that can be used to assess HR analytics maturity of organizations operating in Turkey. A 41-item measurement tool was developed with content validity study and tested with the data obtained from 204 employees who carry out roles relating to HR analytics and HR management in 199 different organizations operating in Turkey. Exploratory factor analysis was used to evaluate the scale’s factor structure, and a three-factor structure containing 19-item obtained, explaining 71.07% of the total variance. The Cronbach’s Alpha of the scale was .958. Criterion-related validity analysis showed that the relationships between HR analytics maturity, organizational agility and perceived managerial support were significant. Consequently, the psychometric analyzes showed that the ‘‘HR Analytics Maturity Scale’’ is a valid and reliable tool to evaluate HR analytics maturity of organizations.

References

  • Akkaya, B., & Tabak, A. (2018). Örgütsel Çeviklik Ölçeğinin Türkçeye Uyarlanması: Geçerlik ve Güvenirlik Çalışması. İş ve İnsan Dergisi, 5/(2), 185-206.
  • Andersen, M. K. (2017). Human capital analytics: the winding road. Journal of Organizational Effectiveness: People and Performance, 4(2), 133-136. https://doi.org/10.1108/JOEPP-03-2017-0024.
  • Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: Why hr is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1-11. https://doi.org/10.1111/1748-8583.12090.
  • Aral, S., Brynjolfsson, E., & Wu, L. (2012). Three-Way complementarities: Performance pay, human resource analytics, and information technology. Management Science, 58(5), 913-931. https://www.jstor.org/stable/41499529.
  • Aydın Göktepe, E. (2017). Algılanan Yönetici desteği ölçeği: geliştirilmesi, geçerliliği ve güvenirliliği. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46, 31-48.
  • Bauer, T., Erdoğan, B., Caughlin, E. D., & Truxillo, D. M. (2019). Human resources management people, data and analytics. California: Sage Publications.
  • Bayram, N. (2018). Örgütlerde iş analitiği kullanımının geliştirilmiş teknoloji kabul modeli ile incelenmesi. (Yayınlanmamış Yüksek Lisans Tezi). Orta Doğu Teknik Üniversitesi, Ankara.
  • Becker, B. E., Huselid, M. A., & Ulrich, D. (2001). The hr scorecard: Linking people, strategy, and performance. Boston: Harvard Business School Press.
  • Bersin, J. (2012, December 27). New Research: BigData in HR as Huge Opportunity. Erişim Adresi: https://joshbersin.com/2012/04/new-research-bigdata-in-hr-as-huge-opportunity/.
  • Bersin, J. (2013, February 17). Big Data in Human Resources: Talent Analytics (People Analytics) Comes of Age. Erişim Adresi: https://www.forbes.com/sites/joshbersin/2013/02/17/bigdata-in-human-resources-talent-analytics-comes-of-age/?sh=6bc9eb554cd0.
  • Bersin, J. (2016, July 1). People Analytics Market Growth: Ten Things You Need to Know. Erişim Adresi: https://joshbersin.com/2016/07/people-analytics-market-growth-ten-things-you-need-to-know/.
  • Bersin, J. (2019, October 5). A Brief History of People Analytics Linkedin Learning. Erişim Adresi: https://www.linkedin.com/learning/people-analytics/a-brief-history-of-people-analytics?autoplay=true.
  • Bersin, J. (2021, May 25). People Analytics: Here With A Vengeance. Erişim Adresi: https://joshbersin.com/2017/12/people-analytics-here-with-a-vengeance/2/.
  • Bock, L. (2015). Work rules!: insights from inside Google that will transform how you live and lead (1.Baskı). New York: Twelve.
  • Bodie, M. T., Cherry,M. A., Mccormick, M. L., & Tang, J. (2017). The law and policy of people analytics. University of Colorado Law Review, 88(4), 961-1042.
  • Boudreau, J. W., & Jesuthasan R. (2011). Transformative HR: How great companies use evidence-based change for sustainable advantage (1.Baskı). San Francisco: Jossey-Bass.
  • Boudreau, J. W., & Ramstad, P. M. (2005a, April). Where’s your pivotal talent? Harvard Business Review. Erişim Adresi: https://hbr.org/2005/04/wheres-your-pivotal-talent.
  • Boudreau, J. W., & Ramstad, P. M. (2005b). Talentship, talent segmentation, and sustainability: A new HR decision science paradigm for a new strategy definition. Human Resource Management, 44(2), 129-136. https://doi.org/10.1002/hrm.20054.
  • Boudreau, J. W.,& Ramstad, P. M. (2006). Talentship and HR measurement and analysis: From roi to strategic organizational change. Human Resource Planning, 29(1), 25-33.
  • Büyüköztürk, Ş. (2020). Sosyal bilimler için veri analizi el kitabı – İstatistik, araştırma deseni SPSS uygulamaları ve yorum (27. Baskı). Ankara: Pegem Akademi.
  • Cappelli, P. (2015, July-August).Why we love to hate HR…and what HR can do about it. Harvard Business Review. Erişim Adresi: https://hbr.org/2015/07/why-we-love-to-hate-hr-and-what-hr-can-do-about-it.
  • Cappelli, P. (2017, June 2). There’s No Such Thing as Big Data in HR. Harvard Business Review. Erişim Adresi: https://hbr.org/2017/06/theres-no-such-thing-as-big-data-in-hr#comment-section.
  • Chakrabarti, M. (2017). The People Analytics Maturity Model. Erişim Adresi: https://digital.bersin.com/article/the-people-analytics-maturitymodel-162/.
  • Chamorro-Premuzic, T., & Bailie, I. (2020, October 21). Tech is transforming people analytics. Is that a good thing?’’. Harvard Business Review. Erişim Adresi: https://hbr.org/2020/10/tech-is-transforming-people-analytics-is-that-a-good-thing.
  • Chen, L., & Nath, R. (2018). Business analytics maturity of firms: an examination of the relationships between managerial perception of IT, business analytics maturity and success. Information Systems Management, 35(1), 62 – 77. https://doi.org/10.1080/10580530.2017.141694.
  • Cross, R., & Gray, P. (2021, June 29). Optimizing return-to-office strategies with organizational network analysis. MIT Management Sloan Review. Erişim Adresi: https://sloanreview.mit.edu/article/optimizing-return-to-office-strategies-with-organizational-network-analysis/.
  • Dahlbom, P., Siikanen, N., Sajasalo, P., & Jarvenpää, M. (2020). Big data and HR analytics in the digital era. Baltic Journal of Management, 15(1), 120-138. https://doi.org/10.1108/BJM-11-2018-0393.
  • Davenport, T. (2018, August). DELTA Plus Model & Five Stages of Analytics Maturity: A Primer International Institute for Analytics Complimentary Edition. Erişim Adresi: https://www.iianalytics.com/delta-plus-primer.
  • Davenport, T. H., & Harris, J.G. (2007). Competing on analytics: The new science of winning (1.Baskı). Boston: Harvard Business School Press.
  • Davenport, T. H., & Harris, J.G. (2017). Competing on analytics: Updated, with a new introduction: the new science of winning (1.Baskı). Boston: Harvard Business Review Press.
  • Davenport, T. H., Harris, J., & Shapiro, J. (2010, October). Competing on talent analytics. Harvard Business Review. Erişim Adresi: https://hbr.org/2010/10/competing-on-talent-analytics.
  • Davenport, T. H., Harris, J., & Morison, R. (2010). Analytics at work: Smarter decisions, better results (1.Baskı). Boston: Harvard Business Review.
  • Edwards, M., & Edwards K. (2019). Predictive HR Analytics Mastering The HR Metric (2.Baskı), New York: Kogan Page.
  • Ergin, D. Y. (2013). Örnekleme Türleri, Marmara Üniversitesi Atatürk Eğitim Fakültesi Eğitim Bilimleri Dergisi, 6(6), 91-102.
  • Evans, J. R. (2017). Business analytics (2.Baskı). Essex: Pearson Education Limited.
  • Falletta, S. V., & Combs, W. L. (2020). The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities. Journal of Work-Applied Management, 13(1), 51-68. https://doi.org/10.1108/JWAM-03-2020-0020.
  • Fernandez, V., & Gallardo-Gallardo, E. (2021). Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption. Competitiveness Review, 31(1), 162-187. https://doi.org/10.1108/CR-12-2019-0163.
  • Ferrar, J., & Green, D. (2021). Excellence in people analytics: How to use workforce data to create business value,(1. Baskı). London: Kogan Page Limited.
  • Field, A. (2000). Discovering statistics using SPSS for windows (1. Baskı). California: Sage Publications Ltd.
  • Fitz‐enz, J. (2009). The ROI of human capital: Measuring the economic value of employee performance (2.Baskı). New York: AMACOM.
  • Fitz-enz, J. (2010). The new hr analytics: Predicting the economic value of your company's human capital investments (1.Baskı). New York: AMACOM.
  • Fitz-enz, J., & Mattox, J. R. (2014). Predictive analytics for human resources (1.Baskı). New Jersey: John Wiley& Sons.
  • Gök, S., Karatuna, I., & Karaca, P. Ö. (2015). The role of perceived supervisor support and organizational identification in job satisfaction. Procedia-Social and Behavioral Sciences, 177, 38–42. https://doi.org/10.1016/j.sbspro.2015.02.328.
  • Green, D. (2017). The best practices to excel at people analytics. Journal of Organizational Effectiveness: People and Performance, 4(2), 137-144. https://doi.org/10.1108/JOEPP-03-2017-0027.
  • Green, D. (2018, March 19). Ethics & People Analytics My HR Future. Erişim Adresi: https://www.myhrfuture.com/blog/2018/3/19/ethics-people-analytics adresinden alındı.
  • Guenole, N., Ferrar, J., & Feinzig, S. (2017). The Power of people: Learn how successful organizations use workforce analytics to improve business performance (1.Baskı). Upple Saddle River: Pearson FT Press.
  • Güngör, D. (2016). Psikolojide ölçme araçlarının geliştirilmesi ve uyarlanması kılavuzu. Türk Psikoloji Yazıları, 19(38), 104-112.
  • Halper, F. (2020, December 6). TDWI Analytics Maturity Model Assessment Guide. Erişim Adresi: https://tdwi.org/research/2020/06/ppm-all-tdwi-analytics-maturity-model-guide.aspx.
  • Holsapple, C., Lee - Post, A., & Pakath, R. (2014). A Unified Foundation For Business Analytics. Decision Support Systems, 64, 130-141. https://doi.org/10.1016/j.dss.2014.05.013.
  • Huselid, M. A., & Becker, B. E. (2005). Improving HR’s Analytical Literacy: Lessons from Moneyball. In Ulrich, D. (Ed.), Losey, M. (Ed.), Meisinger, S. (Ed.), Future of Human Resource Management: 64 Thought Leaders Explore the Critical HR Issues of Today and Tomorrow (pp.278-284), New York: John Wiley and Sons.
  • Jamrog, J. J., & Overholt, M. H. (2004). Measuring hr and organizational effectiveness. Employment Relations Today, 31(2), 33-45. https://doi.org/10.1002/ert.20015.
  • Johnson, R. D., Carlson, K. D., & Kavanagh, M. J. (Ed.) (2020). Human resource information systems: basics, applications, and future directions (5.Baskı). California: Sage Publications.
  • Klein, P. (1994). An Easy Guide to Factor Analysis. New York: Routledge.
  • Lawler, E. E., Levenson, A., & Boudreau, J. W. (2004). HR Metrics and Analytics: Use and Impact. Human Resource Planning, 27(4), 27-35.
  • Levenson, A. (2005). Harnessing the power of hr analytics. Strategic HR Review, 4(3), 28-31.
  • Levenson, A. (2011). Using Targeted Analytics to Improve Talent Decisions. People & Strategy, 34(2), 34-43.
  • Levenson, A. (2014). The Promise of Big Data for HR. People & Strategy, 36(4), 22-26.
  • Levenson, A., Pillans, G. (2017, November). Strategic Workforce Analytics Corporate Research Forum Research Report. Erişim Adresi: https://www.crforum.co.uk/research-and-resources/research-report-strategic-workforce-analytics/.
  • Margherita, A. (2021). Human resources analytics: A systematization of research topics and directions for future research. Human Resources Management Review, 31(3), 1-13. https://doi.org/10.1016/j.hrmr.2020.100795.
  • Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of hr analytics. The International Journal of Human Resource Management, 28(1), 3-26. https://doi.org/10.1080/09585192.2016.1244699.
  • Marr, B. (2018). Data-driven hr: how to use analytics and metrics to drive performance (1. Baskı). New York: Kogan Page.
  • Marr, B. (2020, February 12). What Are The Pitfalls Of People Analytics And Data-Driven HR?. Forbes. Erişim Adresi: https://www.forbes.com/sites/bernardmarr/2020/02/12/what-are-the-pitfalls-of-people-analytics-and-data-driven-hr/#54c1b5ce3c38.
  • Mcbassi & Company (2018). 100 Questions You Can Answer with HR Analytics. Erişim Adresi: https://mcbassi.com/resources-old/featured-resources/.
  • McCartney, S., Murphy, C. & Mccarthy, J. (2020). 21st century HR: a competency model for the emerging role of HR Analysts. Personnel Review, 50(6), 1495-1513. https://doi.org/10.1108/PR-12-2019-0670.
  • McIver, D., Lengnick-Hall, M. L., & Lengnick-Hall, C. A. (2018). A strategic approach to workforce analytics: Integrating science and agility.Business Horizons, 61(3), 397-407. https://doi.org/10.1016/j.bushor.2018.01.005.
  • Minbaeva, B. D. (2018). Building credible human capital analytics for organizational competitive advantage’’, Hum Resour Management, 57, 701–713. https://doi.org/10.1002/hrm.21848.
  • Mondore, S., Douthitt, S., & Carson, M. (2011). Maximizing the Impact and Effectiveness of HR Analytics to Drive Business Outcomes. People & Strategy, 34(2), 20-27.
  • Özdamar, K. (2004). Paket programlar ile istatistiksel veri analizi (Çok değişkenli analizler) (5. Baskı). Eskişehir: Kaan Kitabevi.
  • Pease, G., Byerly, B., & Fitz-enz, J. (2012). Human capital analytics How to harness the potential of your organization’s greatest asset (1.Baskı). New Jersey: John Wiley &Sons.
  • Peeters, T., Paauwe, J., & Van De Voorde, K. (2020). People analytics effectiveness: developing a framework. Journal of Organizational Effectiveness: People and Performance, 7(2), 203-219. https://doi.org/10.1108/JOEPP-04-2020-0071.
  • Ransbotham, S., Kiron, D., Prentice, P. K. (2015, March 16). Minding the analytics gap. MIT Sloan Management Review. Erişim Adresi: https://sloanreview.mit.edu/article/minding-the-analytics-gap/.
  • Rasmussen, T., & Ulrich, D. (2015). Learning from practice: How hr analytics avoids being a management fad. Organizational Dynamics, 44(3), 236-242. https://doi.org/10.1016/j.orgdyn.2015.05.008.
  • Rucci, A. J., Kirn, S. P. & Quinn, R. T. (1998, January-February). The employee-customer-profit chain at sears. Harvard Business Review. Erişim Adresi: https://hbr.org/1998/01/the-employee-customer-profit-chain-at-sears.
  • Seçer, İ. (2015). Psikolojik Test Geliştirme ve Uygulama Süreci Spss ve Lisrel Uygulamaları (1. Baskı). Ankara: Anı Yayıncılık.
  • Sharifi, H. & Zhang, Z. (1999). A Methodology For Achieving Agility In Manufacturing Organisations: An Introduction. International journal of production economics, 62(1), 7-22.
  • Sharma, A., & Sharma, T. (2017). HR analytics and performance appraisal system: A conceptual framework for employee performance improvement. Management Research Review, 40(6), 684-697. https://doi.org/10.1108/MRR-04-2016-0084.
  • Spector, P. E. (1992). Summated rating scale construction: an introduction. California: SAGE Publications.
  • Tabachnick, B. G., & Fidell, L. S. (2020). Çok değişkenli istatistiklerin kullanımı (6. Baskıdan Çeviri), (Çev. Ed. M. Baloğlu). Ankara: Nobel Akademik.
  • Tambe, P., Cappelli, P., & Yakubovich, V., (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42. https://doi.org/10.1177/0008125619867910.
  • Turban, S., Freeman, L., & Waber, B. (2017, October 23). A study used sensors to show that men and women are treated differently at work. Harvard Business Review. Erişim Adresi: https://hbr.org/2017/10/a-study-used-sensors-to-show-that-men-and-women-are-treated-differently-at-work.
  • Tursunbayeva, A., Pagliari, C., Di Lauro, S., &Antonelli, G. (2021). The ethics of people analytics: risks, opportunities and recommendations. Personnel Review, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/PR-12-2019-0680.
  • Ulrich, D. (1997). Measuring human resources: An overview of practice and a prescription for results. Human Resource Management, 36(3), 303-320. https://doi.org/10.1002/(SICI)1099-050X(199723)36:3<303::AID-HRM3>3.0.CO;2-%23.
  • Ulrich, D., & Dulebohn, J. H. (2015). Are we there yet? What's next for HR?. Human Resource Management Review, 25(2), 188-204. https://doi.org/10.1016/j.hrmr.2015.01.004.
  • Van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance, 4(2), 157-178. https://doi.org/10.1108/JOEPP-03-2017-0022.
  • Van Vulpen, E. (2017, 22 August). Big data, business intelligence, and HR analytics: How are they related? AIHR. ErişimAdresi: https://www.analyticsinhr.com/blog/big-data-business-intelligence-hr-analytics-related/.
  • Waters, S. D., Streets, V. N., McFarlane, L. A., & Johson-Murray R. (2018). The practical guide to HR analytics: Using data to inform, transform, and empower HR decisions. (1.Baskı), Danvers: Society For Human Resource Management.
  • Yaşlıoğlu, M. M. (2017). Sosyal Bilimlerde Faktör Analizi ve Geçerlilik: Keşfedici ve Doğrulayıcı Faktör Analizlerinin Kullanılması. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46, 74-85.

İNSAN KAYNAKLARI ANALİTİĞİ OLGUNLUĞU ÖLÇEĞİ (İKAOÖ): BİR ÖLÇEK GELİŞTİRME ÇALIŞMASI

Year 2022, , 459 - 489, 26.12.2022
https://doi.org/10.54452/jrb.1107177

Abstract

İnsan kaynakları (İK) bölümlerinin artan stratejik önemi ile birlikte, 2000’li yılların başlarında bir kurtarıcı olarak gündeme gelen insan kaynakları analitiği (İK analitiği), günümüz dünyasında birçok örgüt tarafından kullanılmaya başlanmıştır. Türkiye’de de son yıllarda İK analitiğini kullanan örgütlerin sayısında artış yaşanmaktadır. Yeni teknolojilerin şekillendireceği örgüt modellerinin gelişimi ve sürdürülebilir değişim açısından, veriye dayalı İK yönetiminin daha fazla gündeme geleceği ve İK analitiğinin, bu gündemin önemli ve etkili bir aracı olma potansiyeli taşıyacağı söylenebilir. İK analitiği olgunluğu ise örgütlerin İK analitiği yeteneğinin değerlendirilmesine odaklanmaktadır.
Bu bağlamda bu araştırmanın amacı, Türkiye’de faaliyet gösteren örgütlerin İK analitiği olgunluğunun değerlendirilmesinde kullanılabilecek geçerli ve güvenilir bir ölçüm aracının geliştirilmesidir. Kapsam geçerliği çalışması sonucu oluşturulan 41 maddelik ölçme aracı, Türkiye’de faaliyet gösteren 199 farklı örgütte İK analitiği ve İK yönetimi ile ilgili görevleri yürüten 204 katılımcıdan oluşan çalışma grubu üzerinde uygulanmıştır. Ölçeğin faktör yapısı açımlayıcı faktör analiziyle incelenmiş ve analiz sonucunda 19 maddeden oluşan bir ölçek elde edilmiştir. Üç faktörlü yapıdan oluşan ölçek, toplam varyansın % 71.07’sini açıklamıştır. Ölçeğin Cronbach’s Alpha katsayısı, .958 olarak tespit edilmiştir. Ölçüt-bağıntılı geçerlik analizi ise İK analitiği olgunluğu ile örgütsel çeviklik ve algılanan yönetici desteği arasındaki ilişkilerin anlamlı olduğunu göstermiştir. Sonuç olarak bu çalışma ile gerçekleştirilen psikometrik analizler, geliştirilen “İK Analitiği Olgunluğu Ölçeği”nin (İKAOÖ), Türkiye'de faaliyet gösteren örgütler tarafından İK analitiği olgunluğunu ölçmek üzere kullanılabilir nitelikte, geçerli ve güvenilir bir araç olduğunu göstermiştir.

References

  • Akkaya, B., & Tabak, A. (2018). Örgütsel Çeviklik Ölçeğinin Türkçeye Uyarlanması: Geçerlik ve Güvenirlik Çalışması. İş ve İnsan Dergisi, 5/(2), 185-206.
  • Andersen, M. K. (2017). Human capital analytics: the winding road. Journal of Organizational Effectiveness: People and Performance, 4(2), 133-136. https://doi.org/10.1108/JOEPP-03-2017-0024.
  • Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: Why hr is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1-11. https://doi.org/10.1111/1748-8583.12090.
  • Aral, S., Brynjolfsson, E., & Wu, L. (2012). Three-Way complementarities: Performance pay, human resource analytics, and information technology. Management Science, 58(5), 913-931. https://www.jstor.org/stable/41499529.
  • Aydın Göktepe, E. (2017). Algılanan Yönetici desteği ölçeği: geliştirilmesi, geçerliliği ve güvenirliliği. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46, 31-48.
  • Bauer, T., Erdoğan, B., Caughlin, E. D., & Truxillo, D. M. (2019). Human resources management people, data and analytics. California: Sage Publications.
  • Bayram, N. (2018). Örgütlerde iş analitiği kullanımının geliştirilmiş teknoloji kabul modeli ile incelenmesi. (Yayınlanmamış Yüksek Lisans Tezi). Orta Doğu Teknik Üniversitesi, Ankara.
  • Becker, B. E., Huselid, M. A., & Ulrich, D. (2001). The hr scorecard: Linking people, strategy, and performance. Boston: Harvard Business School Press.
  • Bersin, J. (2012, December 27). New Research: BigData in HR as Huge Opportunity. Erişim Adresi: https://joshbersin.com/2012/04/new-research-bigdata-in-hr-as-huge-opportunity/.
  • Bersin, J. (2013, February 17). Big Data in Human Resources: Talent Analytics (People Analytics) Comes of Age. Erişim Adresi: https://www.forbes.com/sites/joshbersin/2013/02/17/bigdata-in-human-resources-talent-analytics-comes-of-age/?sh=6bc9eb554cd0.
  • Bersin, J. (2016, July 1). People Analytics Market Growth: Ten Things You Need to Know. Erişim Adresi: https://joshbersin.com/2016/07/people-analytics-market-growth-ten-things-you-need-to-know/.
  • Bersin, J. (2019, October 5). A Brief History of People Analytics Linkedin Learning. Erişim Adresi: https://www.linkedin.com/learning/people-analytics/a-brief-history-of-people-analytics?autoplay=true.
  • Bersin, J. (2021, May 25). People Analytics: Here With A Vengeance. Erişim Adresi: https://joshbersin.com/2017/12/people-analytics-here-with-a-vengeance/2/.
  • Bock, L. (2015). Work rules!: insights from inside Google that will transform how you live and lead (1.Baskı). New York: Twelve.
  • Bodie, M. T., Cherry,M. A., Mccormick, M. L., & Tang, J. (2017). The law and policy of people analytics. University of Colorado Law Review, 88(4), 961-1042.
  • Boudreau, J. W., & Jesuthasan R. (2011). Transformative HR: How great companies use evidence-based change for sustainable advantage (1.Baskı). San Francisco: Jossey-Bass.
  • Boudreau, J. W., & Ramstad, P. M. (2005a, April). Where’s your pivotal talent? Harvard Business Review. Erişim Adresi: https://hbr.org/2005/04/wheres-your-pivotal-talent.
  • Boudreau, J. W., & Ramstad, P. M. (2005b). Talentship, talent segmentation, and sustainability: A new HR decision science paradigm for a new strategy definition. Human Resource Management, 44(2), 129-136. https://doi.org/10.1002/hrm.20054.
  • Boudreau, J. W.,& Ramstad, P. M. (2006). Talentship and HR measurement and analysis: From roi to strategic organizational change. Human Resource Planning, 29(1), 25-33.
  • Büyüköztürk, Ş. (2020). Sosyal bilimler için veri analizi el kitabı – İstatistik, araştırma deseni SPSS uygulamaları ve yorum (27. Baskı). Ankara: Pegem Akademi.
  • Cappelli, P. (2015, July-August).Why we love to hate HR…and what HR can do about it. Harvard Business Review. Erişim Adresi: https://hbr.org/2015/07/why-we-love-to-hate-hr-and-what-hr-can-do-about-it.
  • Cappelli, P. (2017, June 2). There’s No Such Thing as Big Data in HR. Harvard Business Review. Erişim Adresi: https://hbr.org/2017/06/theres-no-such-thing-as-big-data-in-hr#comment-section.
  • Chakrabarti, M. (2017). The People Analytics Maturity Model. Erişim Adresi: https://digital.bersin.com/article/the-people-analytics-maturitymodel-162/.
  • Chamorro-Premuzic, T., & Bailie, I. (2020, October 21). Tech is transforming people analytics. Is that a good thing?’’. Harvard Business Review. Erişim Adresi: https://hbr.org/2020/10/tech-is-transforming-people-analytics-is-that-a-good-thing.
  • Chen, L., & Nath, R. (2018). Business analytics maturity of firms: an examination of the relationships between managerial perception of IT, business analytics maturity and success. Information Systems Management, 35(1), 62 – 77. https://doi.org/10.1080/10580530.2017.141694.
  • Cross, R., & Gray, P. (2021, June 29). Optimizing return-to-office strategies with organizational network analysis. MIT Management Sloan Review. Erişim Adresi: https://sloanreview.mit.edu/article/optimizing-return-to-office-strategies-with-organizational-network-analysis/.
  • Dahlbom, P., Siikanen, N., Sajasalo, P., & Jarvenpää, M. (2020). Big data and HR analytics in the digital era. Baltic Journal of Management, 15(1), 120-138. https://doi.org/10.1108/BJM-11-2018-0393.
  • Davenport, T. (2018, August). DELTA Plus Model & Five Stages of Analytics Maturity: A Primer International Institute for Analytics Complimentary Edition. Erişim Adresi: https://www.iianalytics.com/delta-plus-primer.
  • Davenport, T. H., & Harris, J.G. (2007). Competing on analytics: The new science of winning (1.Baskı). Boston: Harvard Business School Press.
  • Davenport, T. H., & Harris, J.G. (2017). Competing on analytics: Updated, with a new introduction: the new science of winning (1.Baskı). Boston: Harvard Business Review Press.
  • Davenport, T. H., Harris, J., & Shapiro, J. (2010, October). Competing on talent analytics. Harvard Business Review. Erişim Adresi: https://hbr.org/2010/10/competing-on-talent-analytics.
  • Davenport, T. H., Harris, J., & Morison, R. (2010). Analytics at work: Smarter decisions, better results (1.Baskı). Boston: Harvard Business Review.
  • Edwards, M., & Edwards K. (2019). Predictive HR Analytics Mastering The HR Metric (2.Baskı), New York: Kogan Page.
  • Ergin, D. Y. (2013). Örnekleme Türleri, Marmara Üniversitesi Atatürk Eğitim Fakültesi Eğitim Bilimleri Dergisi, 6(6), 91-102.
  • Evans, J. R. (2017). Business analytics (2.Baskı). Essex: Pearson Education Limited.
  • Falletta, S. V., & Combs, W. L. (2020). The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities. Journal of Work-Applied Management, 13(1), 51-68. https://doi.org/10.1108/JWAM-03-2020-0020.
  • Fernandez, V., & Gallardo-Gallardo, E. (2021). Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption. Competitiveness Review, 31(1), 162-187. https://doi.org/10.1108/CR-12-2019-0163.
  • Ferrar, J., & Green, D. (2021). Excellence in people analytics: How to use workforce data to create business value,(1. Baskı). London: Kogan Page Limited.
  • Field, A. (2000). Discovering statistics using SPSS for windows (1. Baskı). California: Sage Publications Ltd.
  • Fitz‐enz, J. (2009). The ROI of human capital: Measuring the economic value of employee performance (2.Baskı). New York: AMACOM.
  • Fitz-enz, J. (2010). The new hr analytics: Predicting the economic value of your company's human capital investments (1.Baskı). New York: AMACOM.
  • Fitz-enz, J., & Mattox, J. R. (2014). Predictive analytics for human resources (1.Baskı). New Jersey: John Wiley& Sons.
  • Gök, S., Karatuna, I., & Karaca, P. Ö. (2015). The role of perceived supervisor support and organizational identification in job satisfaction. Procedia-Social and Behavioral Sciences, 177, 38–42. https://doi.org/10.1016/j.sbspro.2015.02.328.
  • Green, D. (2017). The best practices to excel at people analytics. Journal of Organizational Effectiveness: People and Performance, 4(2), 137-144. https://doi.org/10.1108/JOEPP-03-2017-0027.
  • Green, D. (2018, March 19). Ethics & People Analytics My HR Future. Erişim Adresi: https://www.myhrfuture.com/blog/2018/3/19/ethics-people-analytics adresinden alındı.
  • Guenole, N., Ferrar, J., & Feinzig, S. (2017). The Power of people: Learn how successful organizations use workforce analytics to improve business performance (1.Baskı). Upple Saddle River: Pearson FT Press.
  • Güngör, D. (2016). Psikolojide ölçme araçlarının geliştirilmesi ve uyarlanması kılavuzu. Türk Psikoloji Yazıları, 19(38), 104-112.
  • Halper, F. (2020, December 6). TDWI Analytics Maturity Model Assessment Guide. Erişim Adresi: https://tdwi.org/research/2020/06/ppm-all-tdwi-analytics-maturity-model-guide.aspx.
  • Holsapple, C., Lee - Post, A., & Pakath, R. (2014). A Unified Foundation For Business Analytics. Decision Support Systems, 64, 130-141. https://doi.org/10.1016/j.dss.2014.05.013.
  • Huselid, M. A., & Becker, B. E. (2005). Improving HR’s Analytical Literacy: Lessons from Moneyball. In Ulrich, D. (Ed.), Losey, M. (Ed.), Meisinger, S. (Ed.), Future of Human Resource Management: 64 Thought Leaders Explore the Critical HR Issues of Today and Tomorrow (pp.278-284), New York: John Wiley and Sons.
  • Jamrog, J. J., & Overholt, M. H. (2004). Measuring hr and organizational effectiveness. Employment Relations Today, 31(2), 33-45. https://doi.org/10.1002/ert.20015.
  • Johnson, R. D., Carlson, K. D., & Kavanagh, M. J. (Ed.) (2020). Human resource information systems: basics, applications, and future directions (5.Baskı). California: Sage Publications.
  • Klein, P. (1994). An Easy Guide to Factor Analysis. New York: Routledge.
  • Lawler, E. E., Levenson, A., & Boudreau, J. W. (2004). HR Metrics and Analytics: Use and Impact. Human Resource Planning, 27(4), 27-35.
  • Levenson, A. (2005). Harnessing the power of hr analytics. Strategic HR Review, 4(3), 28-31.
  • Levenson, A. (2011). Using Targeted Analytics to Improve Talent Decisions. People & Strategy, 34(2), 34-43.
  • Levenson, A. (2014). The Promise of Big Data for HR. People & Strategy, 36(4), 22-26.
  • Levenson, A., Pillans, G. (2017, November). Strategic Workforce Analytics Corporate Research Forum Research Report. Erişim Adresi: https://www.crforum.co.uk/research-and-resources/research-report-strategic-workforce-analytics/.
  • Margherita, A. (2021). Human resources analytics: A systematization of research topics and directions for future research. Human Resources Management Review, 31(3), 1-13. https://doi.org/10.1016/j.hrmr.2020.100795.
  • Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of hr analytics. The International Journal of Human Resource Management, 28(1), 3-26. https://doi.org/10.1080/09585192.2016.1244699.
  • Marr, B. (2018). Data-driven hr: how to use analytics and metrics to drive performance (1. Baskı). New York: Kogan Page.
  • Marr, B. (2020, February 12). What Are The Pitfalls Of People Analytics And Data-Driven HR?. Forbes. Erişim Adresi: https://www.forbes.com/sites/bernardmarr/2020/02/12/what-are-the-pitfalls-of-people-analytics-and-data-driven-hr/#54c1b5ce3c38.
  • Mcbassi & Company (2018). 100 Questions You Can Answer with HR Analytics. Erişim Adresi: https://mcbassi.com/resources-old/featured-resources/.
  • McCartney, S., Murphy, C. & Mccarthy, J. (2020). 21st century HR: a competency model for the emerging role of HR Analysts. Personnel Review, 50(6), 1495-1513. https://doi.org/10.1108/PR-12-2019-0670.
  • McIver, D., Lengnick-Hall, M. L., & Lengnick-Hall, C. A. (2018). A strategic approach to workforce analytics: Integrating science and agility.Business Horizons, 61(3), 397-407. https://doi.org/10.1016/j.bushor.2018.01.005.
  • Minbaeva, B. D. (2018). Building credible human capital analytics for organizational competitive advantage’’, Hum Resour Management, 57, 701–713. https://doi.org/10.1002/hrm.21848.
  • Mondore, S., Douthitt, S., & Carson, M. (2011). Maximizing the Impact and Effectiveness of HR Analytics to Drive Business Outcomes. People & Strategy, 34(2), 20-27.
  • Özdamar, K. (2004). Paket programlar ile istatistiksel veri analizi (Çok değişkenli analizler) (5. Baskı). Eskişehir: Kaan Kitabevi.
  • Pease, G., Byerly, B., & Fitz-enz, J. (2012). Human capital analytics How to harness the potential of your organization’s greatest asset (1.Baskı). New Jersey: John Wiley &Sons.
  • Peeters, T., Paauwe, J., & Van De Voorde, K. (2020). People analytics effectiveness: developing a framework. Journal of Organizational Effectiveness: People and Performance, 7(2), 203-219. https://doi.org/10.1108/JOEPP-04-2020-0071.
  • Ransbotham, S., Kiron, D., Prentice, P. K. (2015, March 16). Minding the analytics gap. MIT Sloan Management Review. Erişim Adresi: https://sloanreview.mit.edu/article/minding-the-analytics-gap/.
  • Rasmussen, T., & Ulrich, D. (2015). Learning from practice: How hr analytics avoids being a management fad. Organizational Dynamics, 44(3), 236-242. https://doi.org/10.1016/j.orgdyn.2015.05.008.
  • Rucci, A. J., Kirn, S. P. & Quinn, R. T. (1998, January-February). The employee-customer-profit chain at sears. Harvard Business Review. Erişim Adresi: https://hbr.org/1998/01/the-employee-customer-profit-chain-at-sears.
  • Seçer, İ. (2015). Psikolojik Test Geliştirme ve Uygulama Süreci Spss ve Lisrel Uygulamaları (1. Baskı). Ankara: Anı Yayıncılık.
  • Sharifi, H. & Zhang, Z. (1999). A Methodology For Achieving Agility In Manufacturing Organisations: An Introduction. International journal of production economics, 62(1), 7-22.
  • Sharma, A., & Sharma, T. (2017). HR analytics and performance appraisal system: A conceptual framework for employee performance improvement. Management Research Review, 40(6), 684-697. https://doi.org/10.1108/MRR-04-2016-0084.
  • Spector, P. E. (1992). Summated rating scale construction: an introduction. California: SAGE Publications.
  • Tabachnick, B. G., & Fidell, L. S. (2020). Çok değişkenli istatistiklerin kullanımı (6. Baskıdan Çeviri), (Çev. Ed. M. Baloğlu). Ankara: Nobel Akademik.
  • Tambe, P., Cappelli, P., & Yakubovich, V., (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42. https://doi.org/10.1177/0008125619867910.
  • Turban, S., Freeman, L., & Waber, B. (2017, October 23). A study used sensors to show that men and women are treated differently at work. Harvard Business Review. Erişim Adresi: https://hbr.org/2017/10/a-study-used-sensors-to-show-that-men-and-women-are-treated-differently-at-work.
  • Tursunbayeva, A., Pagliari, C., Di Lauro, S., &Antonelli, G. (2021). The ethics of people analytics: risks, opportunities and recommendations. Personnel Review, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/PR-12-2019-0680.
  • Ulrich, D. (1997). Measuring human resources: An overview of practice and a prescription for results. Human Resource Management, 36(3), 303-320. https://doi.org/10.1002/(SICI)1099-050X(199723)36:3<303::AID-HRM3>3.0.CO;2-%23.
  • Ulrich, D., & Dulebohn, J. H. (2015). Are we there yet? What's next for HR?. Human Resource Management Review, 25(2), 188-204. https://doi.org/10.1016/j.hrmr.2015.01.004.
  • Van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance, 4(2), 157-178. https://doi.org/10.1108/JOEPP-03-2017-0022.
  • Van Vulpen, E. (2017, 22 August). Big data, business intelligence, and HR analytics: How are they related? AIHR. ErişimAdresi: https://www.analyticsinhr.com/blog/big-data-business-intelligence-hr-analytics-related/.
  • Waters, S. D., Streets, V. N., McFarlane, L. A., & Johson-Murray R. (2018). The practical guide to HR analytics: Using data to inform, transform, and empower HR decisions. (1.Baskı), Danvers: Society For Human Resource Management.
  • Yaşlıoğlu, M. M. (2017). Sosyal Bilimlerde Faktör Analizi ve Geçerlilik: Keşfedici ve Doğrulayıcı Faktör Analizlerinin Kullanılması. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46, 74-85.
There are 87 citations in total.

Details

Primary Language Turkish
Subjects Business Administration
Journal Section Articles
Authors

Fatma Melisa Özkanlı 0000-0002-2360-761X

Sibel Gök 0000-0003-2755-6941

Publication Date December 26, 2022
Submission Date April 21, 2022
Acceptance Date November 2, 2022
Published in Issue Year 2022

Cite

APA Özkanlı, F. M., & Gök, S. (2022). İNSAN KAYNAKLARI ANALİTİĞİ OLGUNLUĞU ÖLÇEĞİ (İKAOÖ): BİR ÖLÇEK GELİŞTİRME ÇALIŞMASI. Journal of Research in Business, 7(2), 459-489. https://doi.org/10.54452/jrb.1107177