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This study aims to examine the impact of digital transformation on firms’ value and explore the mediating impact of ESG performance and moderating impact of information interaction.

Data was collected from companies listed on the Shanghai and Shenzhen stock exchange between 2012 and 2020 with 21,488 observational samples, featuring a selection of 3,348 companies. Panel data regression techniques were used to test the mediating role of ESG performance and the moderating role of information interaction.

The study found that digital transformation can improve firms’ ESG performance, which in turn positively affects their value. The firms that engage in more interaction with outsiders benefit more from digital transformation and have a higher value.

This study provides new theoretical insight into improving firms’ value through digital transformation and ESG performance. It is the first to discuss and study the moderating role of information interaction in the relationship between digital transformation and firms’ value.

This study aims to integrate the concepts of digital transformation, innovation strategy, and competitive advantage, into a novel research model in an effort to identify a more competitive path for digital transformation within manufacturing enterprises.

The research model was tested through multivariate hierarchical regression analyses, and Hayes’ PROCESS for SPSS, utilizing survey data collected from 183 manufacturing enterprises in China.

The results indicate that, in comparison to research and development (R&D) and production, digital transformation in service and organizational activities exert a more significant impact on competitive advantage. Conversely, digital transformation in sales does not exhibit a significant impact on competitive advantage. Furthermore, in contrast to exploratory innovation and ambidexterity, exploitative innovation has a more pronounced influence on digital transformation. Additionally, digital transformation has been confirmed as a mediator in the relationship between innovation strategy and competitive advantage.

These findings expand our comprehension of digital transformation as an evolving process and shed light on the relationship between digital transformation and competitive advantage across various value-creating activities. This research serves as a valuable resource for decision-makers in selecting the most suitable path for digital transformation and configuring innovative resources.

The research aims to understand the co-existence of nimbleness and resilience in a continuous digital transformation, along with the dynamic capabilities needed to balance the challenges of their co-existence.

The current study draws on dialogical action design research (D-ADR) to investigate interactions among practitioners and executives. Data are collected from a major Australian financial services organisation (FSO) and many international experts.

The study presents a framework, the continuous transformation model (CTM), to describe digital transformation within an FSO context, emphasising nimbleness and resilience as its foundational pillars. This framework facilitates the identification of the critical role of organisational capabilities in managing continuous digital transformation, supported by dynamic IT capabilities. More importantly, the findings underscore how these capabilities enable managers to effectively balance the coexistence of nimbleness and resilience.

The CTM contributes to the enterprise information systems literature by offering a coherent understanding of balancing resilience and nimbleness to succeed in digital transformation. In particular, the research model elucidates the relationship between dynamic capabilities and continuous digital transformations.

Digital transformations are not a one-off exercise. Managers in the FSO context must cultivate their organisational capabilities to achieve nimbleness and resilience during their digital transformation journey.

The relationship between dynamic capabilities and continuous digital transformation sheds light on establishing successful management processes within FSOs.

This research paper aims to conceptualize digital transformation governance and its conventional mechanisms and to present governance solutions tailored to an organization’s level of digital maturity. The objective is to provide a framework for large organizations to select appropriate governance mechanisms based on their digital maturity level, enabling them to effectively manage and govern their digital transformation journey.

The study employs a meta-synthesis methodology, systematically reviewing and synthesizing findings from 175 academic papers and 31 reports/white papers. The research involves a rigorous qualitative approach, including literature search, selection of relevant texts, information extraction, analysis of qualitative findings, quality control and presentation of findings.

The proposed model suggests a three-tiered approach to digital transformation governance based on the organization’s digital maturity: “beginner,” “intermediate” and “advanced” stages. The findings indicate that as an organization advances in its digital maturity, its governance mechanism tends to be less centralized and involves multiple relevant units. Conversely, organizations with lower digital maturity require a more concentrated approach to digital governance.

The study is based on a systematic review and synthesis of existing literature. Further empirical research could validate and refine the proposed model.

By using the proposed maturity-driven model, organizations can choose a more suitable and effective governance mechanism for the realization of their digital transformation roadmap based on their digital maturity level. The model offers a comprehensive framework for selecting and combining appropriate governance mechanisms at each maturity stage.

The proposed framework offers a strategic and novel yet practical tool, enabling organizations to advance their digital governance capabilities in sync with their transformation roadmap. The study consolidates dispersed findings and expands the range of viable governance mechanisms contingent on digital progression.

This study aims to investigate the influence of digital transformation on the overall financial performance of firms, with a specific focus on Chinese-listed companies from 2010 to 2021. It seeks to understand the impacts on various accounting and financial indicators in emerging economies such as China.

This study employs a text-mining approach to construct a digital transformation index based on the data sample of 11,814 firm-year observations from China’s A-share listed companies. This index serves as a proxy to measure the extent of digital transformation and its impact on financial performance and health.

The findings indicate that digital transformation significantly enhances overall financial performance and health, as evidenced by increased profitability, reduced operational costs, and lowered financial risks. The study reveals a time-lagged effect, where the benefits of digital transformation become more apparent after about one year. Further analysis shows that the value of digital transformation is more evident in a firm’s asset items. This raises the possibility of recognising the by-product, such as data resources, in the digital transformation process.

This research offers a unique contribution by linking digital transformation to financial performance using a large dataset from China's A-share listed firms. Doing so enhances our understanding of the tangible effects of digital transformation on corporate performance. Furthermore, this research provides valuable insights for the advancement of future accounting practices and the development of standards.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

Coordinating low-carbonization and digitalization is a practical implementation pathway to achieve high-quality economic development. Regions are under great emission reduction pressure to achieve low-carbon development. However, why and how regional emission reduction pressure influences enterprise digital transformation is lacking in the literature. This study empirically tests the impact of emission reduction pressure on enterprise digital transformation and its mechanism.

This article takes the data of non-financial listed companies from 2011 to 2020 as a sample. The digital transformation index is measured by entropy value method. The bidirectional fixed effect model was used to test the hypothesis.

The research results show that emission reduction pressure forces enterprise digital transformation. The mechanism lies in that emission reduction pressure improves digital transformation by promoting enterprise innovation, and digital economy moderates the nexus between emission reduction pressure and digital transformation. Furthermore, the effect of emission reduction pressure on digital transformation is more significant for non-state-owned, mature and high-tech enterprises.

This paper discusses the mediating role of enterprise innovation between carbon emission reduction pressure and enterprise digital transformation, as well as the moderating role of digital economy. The research expands the body of knowledge about dual carbon targets, digitization and technological innovation. The author’s findings help update the impact of regional digital economy development on enterprise digital transformation. It also provides theoretical guidance for the realization of digital transformation by enterprise innovation.

Scholars increasingly focus on digital transformation as a key strategy for incumbent firms to gain competitive advantages. Meeting digital transformation commitments presents challenges, requiring the application and the reconfiguration of dynamic capabilities. To address this need, this research proposes a framework of dynamic capabilities and its microfoundations to assess the opportunities and challenges regarding digital transformation, involving three dimensions: Digital sensing, digital seizing, and digital reconfiguring.

This study employed a descriptive qualitative empirical approach, encompassing a sample of eight companies. Data triangulation was achieved through a combination of in-depth semi-structured interviews and secondary data.

The research provides evidence that data-driven culture fosters digital transformation and proposes the following new microfoundations: “Analytics for the customer experience journey” and “Digital analytics innovation management”, the internal barriers “Leadership without digital skills” and “Lack of strategic human resources management for digital transformation”, and the internal enablers “Defined strategy for digital transformation” and “Data-driven culture”. Finally, based on empirical results, it was possible to gather clues that link dynamic capabilities with digital maturity.

The application of the proposed framework in companies enables them to develop a roadmap for the digital transition oriented towards their business and management strategies.

This paper contributes to the literature on dynamic capabilities for digital transformation by proposing new theoretical constructs that unearth their microfoundations, barriers, and enablers.

This study explores how excellence models can leverage digital transformation on the path to sustainable development in organisations.

A survey was used to study the different facets of digital capabilities and their impact on sustainable development success of organisations holding an external recognition from the European Foundation for Quality Management (EFQM). Partial Least Squares structural equation modelling (PLS-SEM) combined with Necessary Condition Analysis (NCA) were used to analyse data.

Internalising excellence practices is decisive in mediating effective digital capabilities to achieve sustainable development. To achieve high levels of sustainable development success, organisations must achieve high levels of excellence practices internalisation, which are much more important than the excellence model external recognition.

This study addresses essential issues with theoretical and practical value but is limited to a sample of organisations with EFQM recognition in two countries. Future studies should address different organisations and cultural environments.

The findings are relevant for organisations facing digital transformation and sustainable development challenges. They are essential for managers leveraging digital capabilities to capitalise on practices and processes and achieve Sustainable Development Goals. Organisations can benefit from a multidimensional approach to digital capabilities when struggling against external challenges.

This study closes a research gap regarding the impact of digital capabilities on sustainable development success. It is the first empirical study to combine sufficiency and necessity conditions analyses to explore the mediating role of excellence practices internalisation and one of the first to address digital capabilities from a multidimensional perspective.

Over the last two decades, most organizations have considered technologies to drive digital transformation, and the recent pandemic has brought significant changes in the healthcare sector. Therefore, this study explores the technological nexus in supporting digital transformation as a process to govern the healthcare sector more effectively.

This study uses quantitative and qualitative methods to analyse the impact of ArogyaSetu (a health and wellness app) on India’s digital transformation process. The study involves 212 responses to understand how the app enables digital transformation and its impact on governance, healthcare systems and stakeholders. Additionally, 31 semi-structured interviews were conducted to validate the quantitative study’s findings.

Referring quantitative part of research design, ArogyaSetu has had a positive impact on the digital transformation of India’s healthcare industry, which has in turn affected stakeholders and improved governance. Moreover, qualitative findings suggest that a governance system like ArogyaSetu can aid in the development of dynamic capabilities within the healthcare system and governance.

This study adds to our understanding of the digital transformation of healthcare by examining it through the lens of dynamic capability. In this framework, “sense” refers to the stakeholders, “seize” the healthcare system and “transform” governance. The study also provides practical implications for managers, academics and government administrators responsible for digital healthcare transformation.