The double-edged sword in the digitalization of human resource management: Person-environment fit perspective

Deng, Chunping; Li, Huimin; Wang, Yuye; Zhu, Rong

doi:10.1016/j.jbusres.2024.114738

Cited by 3 publications

(1 citation statement)

References 98 publications

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“…Big data analytics personnel capabilities refer to the technical, technology management, business, and relational capabilities of data scientists to perform specific tasks in a big data environment, which are widely considered to play an important role in fostering innovation (Akter et al, 2016). Big data analysts can gather a variety of valuable information about the market and consumers by effectively integrating and analyzing big data (Müller et al, 2018;Deng et al, 2024). This information helps organizations to better understand market trends, guide business operations, and improve the quality of product and service development (Su et al, 2022).…”

Section: Hypothesismentioning

confidence: 99%

Big data analytics capability and social innovation: the mediating role of knowledge exploration and exploitation

Wang,

Chen,

Wang

et al. 2024

Humanit Soc Sci Commun

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While many organizations have successfully leveraged big data analytics capabilities to improve their performance, our understanding is limited on whether and how big data analytics capabilities affect social innovation in organizations. Based on the organizational information processing theory and the organizational learning theory, this study aims to investigate how big data analytics capabilities support social innovation, and how knowledge ambidexterity mediates this relationship. A total of 354 high-tech companies in China, this study shows that big data analytics management, big data analytics technology, and big data analytics personnel capabilities all have positive effects on social innovation. In addition, both knowledge exploration and knowledge exploitation play a mediating role in this process. Furthermore, a polynomial regression and response surface analysis shows that social innovation increases when knowledge exploration and knowledge exploitation are highly consistent but declines when knowledge exploration and knowledge exploitation are inconsistent. This study not only provides new perspectives for understanding how big data analytics capabilities contribute to social innovation, complementing the existing literature on big data analytics capabilities and social innovation, but also provides important practical guidance on how organizations can develop big data analytics capabilities to improve social innovation and solve social problems in the digital age.

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Section: Hypothesismentioning

confidence: 99%

Big data analytics capability and social innovation: the mediating role of knowledge exploration and exploitation

Wang,

Chen,

Wang

et al. 2024

Humanit Soc Sci Commun

View full text Add to dashboard Cite

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Firm-Level Digitalization for Sustainability Performance: Evidence from Ningbo City of China

Shao,

Ahmad,

Javed

2024

Sustainability

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Climate change is a significant and urgent threat, gaining traction in the scientific community around the globe and requiring immediate action across many sectors. In this context, the digital economy could provide a mutually beneficial solution by utilizing innovation and technical breakthroughs to establish a sustainable future that addresses environmental deterioration, promotes economic growth, and encourages energy conservation. Against this background, this study examined the diffusion of innovation modeling-based factors affecting small and medium-sized firms’ (SMFs) adoption of the Internet of Things (IoT) technology and its impact on SMFs’ sustainability performance related to environmental, economic, innovation, and energy conservation perspectives. The key findings revealed that (i) the relative advantage, trialability, and observability drive IoT adoption. However, compatibility and complexity hinder IoT adoption. (ii) When prioritizing the adoption factors, the relative benefit is the strongest driver, and compatibility is the most significant barrier to IoT adoption. (iii) IoT technology adopter SMFs spent less on natural resources and more on renewable energy and environmental monitoring systems than non-adopter firms, boosting their environmental sustainability. (iv) IoT technology adopter firms had greater revenue, profits, and credit access than non-adopters and lower input costs, improving their economic sustainability. (v) IoT adopter firms spent more on innovative products than non-adopter enterprises, demonstrating innovation performance. (vi) Compared to non-adopter firms, IoT technology adopter SMFs had lower utility expenses and spent more on energy-efficient technologies. (vii) To realize the full potential of the IoT for a more sustainable and inventive future, authorities may pursue a variety of policy actions involving the strengthening and implementation of IoT technology standards and regulations, securing the incentivization of financial resources to SMFs, diverting the allocation of resources to research and development avenues, prioritizing the capacity development and environmental awareness, and focusing on IoT infrastructure development.

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Di̇ji̇tal Dönüşüm Ve İnsan Kaynaklari Yöneti̇mi̇: Uluslararasi Yazinin Bi̇bli̇yometri̇k Anali̇zi̇

Sanioğlu Tanış

2024

Yönetim Bilimleri Dergisi

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Dijitalleşmenin tüm dünyada ve her alanda hızla gelişmesiyle birlikte yaşanan dönüşüm iş dünyası için de oldukça önemli bir konu haline gelmiştir. İş süreçleri, iş modelleri, örgütsel stratejiler ve kültür, insan kaynakları yönetimi (İKY) gibi birçok konu dijital dönüşüm sürecine girmiştir. Örgütleri hızla etkileyen ve etkilemeye de devam edecek olan bu dijital dönüşümle birlikte dijital insan kaynakları yönetimi son yıllarda çok fazla dikkat çeken araştırma konularından biri haline gelmiştir. Günümüz işletmeleri için en nitelikli çalışanların örgüte çekilmesi ve elde tutulması konusu oldukça önemli bir konudur. Dijitalleşme süreciyle birlikte dijital insan kaynakları yönetimi küresel manada rekabet eden işletmeler için daha da önemli hale gelmiştir. İnsan Kaynakları (İK) süreçlerinin dijital teknolojilerle entegre edilmesiyle birlikte İKY’nin veriye dayalı, objektif kararlar alabilen ve daha verimli bir fonksiyona dönüşeceği beklenmektedir. Bu çalışmanın amacı, dijital dönüşüm ve insan kaynakları yönetimi ile ilgili uluslararası literatürün bibliyometrik analiz yöntemini kullanılarak analiz edilmesi ve bu alanda geleceğe dair bir bakış açısı sunulmasıdır. Bu kapsamda, 2012-2023 yılları arasında Scopus veri tabanında bulunan 752 çalışmaya performans analizleri uygulanmıştır. Bulgular, insan kaynakları yönetimi ve dijital dönüşüm üzerine yapılan çalışmalarda Çin’in en üretken ülke olduğunu ve İngiltere’nin en yüksek atıf verimliliğine sahip olduğunu göstermiştir. Uluslararası iş birliği oranlarına bakıldığında yayınların %30,98’i iş birliği yaptığı ve en fazla iş birliği yapan ülkelerin Avustralya, Malezya ve İngiltere olduğu bulgulanmıştır. Tematik analiz ve eş-oluşum analizi ile ortaya çıkan ağların gelecekteki çalışmalar için bir bakış açısı kazandırması beklenmektedir.

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The double-edged sword in the digitalization of human resource management: Person-environment fit perspective

Cited by 3 publications

References 98 publications

Big data analytics capability and social innovation: the mediating role of knowledge exploration and exploitation

Big data analytics capability and social innovation: the mediating role of knowledge exploration and exploitation

Firm-Level Digitalization for Sustainability Performance: Evidence from Ningbo City of China

Di̇ji̇tal Dönüşüm Ve İnsan Kaynaklari Yöneti̇mi̇: Uluslararasi Yazinin Bi̇bli̇yometri̇k Anali̇zi̇

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