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This article aims to understand the dynamics between disruptive innovations and innovation ecosystems, using disruption business models as a catalyst.

This study presents an integrative literature review and a theoretical framework in order to integrate the theories of disruptions and ecosystems.

The dynamics of disruptive innovation, within an ecosystem, as an essential driver of creating new markets. The effect of creative destruction from a disruption influences business models in a coopetitive dynamic that drives the ecosystem as a whole.

Limited to theoretical research and suggested the application of the proposed model in an empirical study.

Understand the formation of new ecosystems based on the occurrence of a disruption as a way for organisations to prepare for the arrival of this new market.

The contribution of this study is based on joining the literature of disruptive innovation and innovation ecosystem, pointing to a theoretical framework and a flow of Evolution and Adaptation to the Disruptive Ecosystem that integrates this complex dynamic.

We investigate product innovation by a cohort of entrants who use technology that eventually suffers disruption. We concentrate on two types of entrants – those with and those without relevant prior experience in the disrupted technology. Using the industrial robotics industry as the context of our study, we explore product innovation using disrupted technology during two time periods: the first prior to sales takeoff of the disruptive products and the second subsequent to takeoff. We find that the two types of entrants did not differ in product innovation prior to takeoff, but firms with prior experience in the disrupted technology manufactured more innovative products subsequent to the sales takeoff of disruptive products. Our research underscores that the boundary conditions of the utility of prior experience is more nuanced than that which literature suggests – it affects product innovation only in the post-sales takeoff period when the demand uncertainties are relatively low. Our findings also suggest that the boundary conditions of Christensen’s thesis are narrower than predicted by prior literature.

The disruptive human resource management (HRM) technologies are now considered a significant facilitator to change and benefit the entire HRM landscape. This view needs to be further verified by reviewing the knowledge on the subject in the empirical research landscape. Thus, the study's objectives were to find (1) the current knowledge and (2) the areas where empirical research is lacking in disruptive HRM technologies.

The article is a literature review that was followed by the systematic literature review and the preferred reporting items for systematic reviews and meta-analyses (PRISMA). The review considered 45 articles published during the 2008–2021 period extracted from the Scopus database, and bibliometric analysis was performed to achieve the research objectives.

The results found that scholarly attention has been given to electronic HRM (E-HRM) rather than the disruptive HRM technologies. The areas investigated include the determinants of intention, adoptions and use of E-HRM and the outcomes of E-HRM adoptions and use. These outcomes can be further divided into general outcomes and HRM outcomes.

The findings reveal gaps in E-HRM research and disruptive HRM technologies remain untapped in the empirical research landscape. Hence, the study findings provide some implications for future research and applications.

The study found empirically proven determinants of E-HRM intention, adoptions and use and E-HRM adoptions and use outcomes. These were found in the studies conducted during the 2008–2021 period.

顛覆性人力資源管理技術被認為是一個可改變、並幫助整個人力資源管理格局的重要誘導者; 這個看法、需透過檢核在實證研究範疇裡就有關議題的資料、才能作進一步的核實。因此，本研究擬了解 (1): 我們目前對有關議題的認知，以及 (2): 就顛覆性人力資源管理所進行的實證研究有哪些不足之處。

本文是一個文獻探討。研究人員採用系統文獻綜述研究法，以及系統綜述和 meta分析的首選報告項目。研究涵蓋45篇於2008年至2021年期間發表的學術文章; 這些文章均取自 Scopus資料庫。研究人員進行文獻計量分析，以達到研究的目標。

研究結果顯示、被研究探索的是電子化人力資源管理 (E-HRM) ，而不是顛覆性人力資源管理技術。被研究的範疇包括使用電子化人力資源管理的決定因素，以及使用後的結果。使用後的結果再細分為一般性的結果、和與人力資源管理有關的結果。

研究結果顯示、在實證研究的範疇裡，電子化人力資源管理和顛覆性人力資源管理技術的研究均存在未被探索的研究缺口。因此，研究結果為今後的研究和有關的應用提供了啟示。

本研究發現並確認經實證證明的使用電子化人力資源管理的決定因素，以及使用後的結果。研究結果乃基於檢核於2008年至2021年期間進行的學術研究而得來的。

顛覆性人力資源管理技術、系統文獻綜述、系統綜述和meta分析的首選報告項目 (PRISMA)

The purpose of this paper is to present several insights on how disruptive technologies potentially impact the eco-performance of entire supply chains, by providing performance improvements compared to existing technologies, enabling more efficient manufacturing methods and affecting the entire structure of the supply chain.

To illustrate the authors’ position, a case from the construction sector is presented, for which the feasibility and impact of 3D printing technology has been studied. The empirical study focuses on the effect of the use of 3D printing technology on the building supply chain, aimed primarily at manufacturing companies in construction, but including suppliers, architects and designers as well.

3D printing of concrete potentially provides several improvements in manufacturing performance, such as a shortening of lead times, integration of functions and allowing for reduced material usage, therefore possibly turning production steps within the construction supply chain obsolete while also reducing logistical and production efforts.

Whether disruptive technologies other than 3D printing have a similar potential is unknown. Though the case study shows the potential of disruptive technologies in impacting supply chains, the authors realize that more empirical work is needed to understand the underlying mechanisms.

The originality of this paper lies in relating disruptive technological advancements to manufacturing technologies and transitions of supply chains’ eco-performance.

The purpose of this study is to ascertain the drivers of digital disruption and its consequences from a managerial viewpoint. Understanding the drivers and consequences of digital disruption can help business managers modify and align their organizational structures and strategies with digital disruptors to promote survival in the marketplace.

This study used survey data from US managers. Of 1,000 managers, 272 provided responses eligible for use in the analysis. The study used EQS 6.2 software to analyze the data.

Eight hypothesized relationships were tested in this study. The results of this study indicate that convergence of intelligence, convergence of technology, support from C-level executives, organizational cultures of innovation and managerial skills act as drivers of digital disruption. The results also show that digital disruption improves both user experience and firms’ digital disruptive performance.

This study builds upon the disruptive innovation theory. This study demonstrates that both technology- and organization-induced drivers serve as predictors of digital disruption. Digital disruption affects user experience and firms’ digital disruptive performance. In addition, user experience influences firms’ digital disruptive performance. Overall, this study improves our understanding of the role of technology- and organization-induced drivers of businesses’ responses to digital disruption and provides contributions to theory and practice.

This study aims to investigate the impact of I4.0 technologies and their interoperability on supply chains (SCs) performance and how the integration of such technologies and their interoperability can create pathways for SCs resilience post-COVID-19. This is of paramount importance in the context of COVID-19 as the investigation around I4.0 technologies may provide relevant insights on how SCs may better respond to unexpected situations like the current pandemic with the use of digital technologies.

A survey research method was designed based on some constructs extracted from the literature regarding the main disruptive technologies, interoperability, elements of supply chains processes (SCPs) performance such as integration, collaboration, transparency, efficiency, responsiveness and profitability. The data were collected from March to July 2020 from different regions of the world when the peak of the first wave of the pandemic had occurred. The survey resulted in 115 valid responses. The study used a combination of descriptive, correlation and multiple regression methods to analyse the data.

The study indicates that disruptive technologies significantly impact SCPs performance (integration, collaboration, responsiveness and transparency) and their resilience. The findings did not support the notion that these technologies improve the efficiency of SCs, a significant contrast to the existing literature. Our findings also refute the existing understanding that interoperability moderates the impact of disruptive technologies on SCPs performance and enhancing the resilience of SCs. However, the findings show that the integration of I4.0 technologies and their interoperability has a positive impact on SCPs profitability.

The findings strongly advocate that this integration plays an important role in improving SC performance, and a future pathway of SC resiliency post-COVID-19. Considering that the I4.0 trend will impact SCs in the coming years, this study brings a relevant contribution to researchers and practitioners.

This study makes a unique contribution by investigating a novel causal relationship between the main elements (I4.0 technologies, interoperability, processes performance and strategic outcomes) related to the SC in this new context.

This paper aims to conduct a review on disruptive business models. Considering that competition among companies will not only happen through new products, services or technologies but also through innovative business models, the disruptive business models arise to replace the existing business models, adapting the organizational structures to the products and services offered and emphasizing the proposition of unique value.

The literature on this topic was revised, allowing the obtaining of the state of the art and the construction of a research agenda. The analyzed literature was obtained from systematic searches by the term disruptive business model in some databases. For the analysis of the data, the content analysis strategy was used through categorizations in the material exploration phase, and, later, for the processing of the results, the authors made use of inference and interpretation regarding the content analyzed.

The collected literature made it possible to obtain a set of data formed by different views of authors on disruptive business models, which was analyzed and categorized to make new inferences and interpretations.

Considering that the literature on the disruptive process of business models is emerging and addressing an important phenomenon in the market that lacks the theoretical basis to sustain it, this paper contributes by presenting a consolidated examination on this subject, thus deepening the theoretical analyzes on this topic and reducing this lack in the literature. This study also presents a research agenda, which clarifies the disruptive business model gap and reveals some opportunities for future empirical researches.

The purpose of this paper is to review the literature on the Disruptive Innovation Theory and on the disruptive potential of real estate crowdfunding (RECF) in the real estate finance industry, assessing whether RECF constitutes a potentially disruptive innovation to the real estate finance industry. Based on a review and synthesis of the literature, the paper advances an initial conceptual framework of core characteristics of disruptive innovations. This framework is used to examine the disruptive potential of RECF in the real estate finance industry.

This paper is a systematic literature review that synthesizes and analyzes relevant extant research articles retrieved from online databases.

Findings suggest that according to the theory of disruptive innovations, and the core characteristics of disruptive innovations, RECF is a potentially disruptive innovation to the real estate finance industry. RECF seems to generally align with the classic characteristics of disruptive innovations. A more comprehensive and systematic analysis, supported by empirical data, is necessary to evaluate whether and to what extent RECF constitutes a disruptive innovation to the real estate finance industry.

This study has only captured and reviewed articles published and available in database searches. RECF is a nascent field that has recently begun receiving academic attention.

Real estate plays an integral part in the economy, and the way it is financed has become an increasingly important issue following the Global Financial Crisis. This paper provides useful insights for assessing whether and to what extent RECF may be disruptive to the real estate finance industry.

RECF may potentially improve accessibility and affordability of real estate finance, thereby helping to address the problem of shortage of real estate project finance.

While RECF is portrayed in the academic and gray literature as a disruptive innovation, its disruptive potential is yet to be determined. This paper advances an initial conceptual framework of defining characteristics of disruptive innovations. This framework is used to evaluate RECF as a potentially disruptive innovation in the real estate project finance industry. This study forms a basis for future empirical examination of the disruptive potential of RECF in the real estate finance industry.

The purpose of this study is to provide insights into the way in which understanding and implementation of disruptive technology, specifically big data analytics and the Internet of Things (IoT), have changed over time. The study also examines the ways in which research in supply chain and related fields differ when responding to and managing disruptive change.

This study follows a four-step systematic review process, consisting of literature collection, descriptive analysis, category selection and material evaluation. For the last stage of evaluating relevant issues and trends in the literature, the latent semantic analysis method was adopted using Leximancer, which allows more rapid, reliable and consistent content analysis.

The empirical analysis identified key research trends in big data analytics and IoT divided over two time-periods, in which research demonstrated steady growth by 2015 and the rapid growth was shown afterwards. The key finding of this review is that the main interest in recent big data is toward overlapping customer service, support and supply chain network, systems and performance. Major research themes in IoT moved from general supply chain and business information management to more specific context including supply chain design, model and performance.

In addition to providing more awareness of this research approach, the authors seek to identify important trends in disruptive technologies research over time.

The purpose of this study was to analyse institutional strategy documents relating to technology-enhanced learning.

In total, 84 documents were sampled from 71 leading higher education institutions (HEIs), identified through the Quacquarelli Symonds World University Rankings 2018. Qualitative content analysis with a directed approach was used to analyse the strategy documents. The specific theory used was disruptive innovation. The use of “innovation”, or variants thereof, was counted in each document. Ten case studies from the sample were used for content analysis.

Technology-enhanced learning-related strategy documents are conservative, advocating the more efficient use of existing technologies, or the incremental enhancement of existing technologies, but not transformation through technology.

By evaluating the extent to which selected institutional strategies engage with innovation in technology-enhanced learning, this study argues HEIs advocate sustaining innovation or efficiency innovation to a greater extent than disruptive innovation.