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Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through qualitative discussions combined with bibliometric methods. Through this article, researchers interested in the field of innovation convergence can quickly understand the development of the field, quickly identify authors and publications with significant impact, and collaborative networks in the field.

This article is based on the relevant literature included in the WOS database from 1990 to 2021, using Citespace, Gephi and other software to conduct a systematic bibliometric analysis of the research in the new convergence field.

This research shows that the second half of the twentieth century was a boom period for research on economic convergence. 2. The subject foundation of innovation convergence research mainly includes mathematics, economics, political science and computational science. 3. The journals that publish research in this field are widely distributed, including the fields of economics, natural sciences and complex sciences. 4. The research in the field of innovation convergence is inseparable from the research in the field of economic growth.

This study may help others to understand the development history and research trends of the innovation convergence field, as well as the literature and cooperative scientific research institutions that have an important influence.

The purpose of this paper is to compare the implementation of 12 different organisation and management innovations (OMIs) in Swedish healthcare, to discover the generic and specific factors important for successful healthcare improvement change in a public health system.

Longitudinal cross‐case comparison of 12 case studies was employed, where each case study used a common framework for collecting data about the process of change, the content of the change, the context, and the intermediate and final outcomes.

Clinical leaders played a more important part in the development of these successful service innovations than managers. Strategies for and patterns of change implementation were found to differ according to the type of innovation. Internal organisational context factors played a significant role in the development of nearly all, but external factors did not. “Developmental evolution” better described the change process than “implementation”.

The 12 cases were all of relatively successful change processes: some unsuccessful examples would have provided additional testing of the hypotheses about what would predict successful innovation which were used in the case comparison. The cross‐case comparative hypothesis testing method allows systematic comparison if the case data are collected using similar frameworks, but this approach to management research requires considerable resources and coordination.

Management innovations that improve patient care can be carried out successfully by senior clinicians, under certain circumstances. A systematic approach is important both for developing and adapting an innovation to a changing situation. A significant amount of time was required for all involved, which could be reduced by “fast‐tracking” approval for some types of change.

This is the first empirical report comparing longitudinal and contextualised findings from a number of case studies of different organisational and management healthcare innovations. The findings made possible explanations for success factors and useful practical recommendations for conditions needed to nurture such innovation in public healthcare.

With the proliferation of ideas submitted by users in firm-built online user innovation communities, community managers are faced with the problem of user idea overload. The purpose of this paper is to explore the influencing factors on the idea adoption to identify high quality ideas, and then propose a method to quickly filter high value ideas.

The authors collected more than 110,000 data submitted by Xiaomi community users and analyzed the factors affecting idea adoption using a multinomial logistic regression model. In addition, the authors also used BP neural network to predict the idea adoption process.

The empirical results show that idea semantics, number of likes, number of comments, number of related posts, the existence of pictures and self-presentation have positive impact on idea adoption, while idea length and idea timeliness had negative impact on idea adoption. In addition, this paper calculates the idea evaluation value through the idea adoption process predicted by neural network and the mean value of idea term frequency inverse document frequency (TF-IDF).

This empirical study expands the theoretical perspective of idea adoption research by using dual-process theory and enriches the research methods in the field of idea adoption research through the multinomial logistic regression method. Based on our findings, firms can quickly identify valuable ideas and effectively alleviate the information overload problem of online user innovation communities.

The purpose of this paper is to offer a collection of articles that explore some of the many innovative approaches to qualitative inquiry and to challenge HRD scholars and practitioners to consider using innovative approaches in their work. In doing so, qualitative research in HRD can better capture and honour voices, experiences and meaning making of individuals, teams, organizations and communities.

Using Lê and Schmid’s (2022) definition of innovation in qualitative research, the authors selected four innovative approaches to qualitative research that have the potential to enhance HRD research and practice: use of multiple-case study designs in case study research in HRD, a new take on critical incident technique, a narrative approach of testimonio and a visual approach of participant photography.

Innovative approaches to qualitative research in this special issue include a review of case study research in HRD by Tkachenko et al., a new take on the familiar critical incident technique of Watkins et al., a narrative approach to testimonio by Salcedo et al. and a visual approach to participant photography by Hurtienne et al. The last article, by Grenier et al., addresses the implications of these articles to the field of HRD and points to additional directions for innovative qualitative approaches that can help to understand and create more inclusive, democratic and just organizations.

The articles in this special issue are intended to spark a dialogue about the meaning of innovation in qualitative research in HRD. It also can serve as an impetus for considering how innovative approaches to qualitative research can better tackle questions that come from the new normal of the workplace, society and diverse contexts.

This special issue will give HRD scholars and practitioners a realistic, practical view on how innovation in qualitative research can help in exploring specific problems in the workplace. The articles will offer a glimpse into how specific social complex issues can be explored and addressed through innovative approaches, new and tried/modified, to qualitative inquiry.

Four articles introduce new and tried/modified qualitative methods, and their value is in prompting HRD scholars and practitioners to consider some of the innovative approaches in exploring, understanding and transforming the workplace. The final article is a review of more innovative qualitative approaches for HRD scholars and practitioners to understand complex organizational phenomena and promote positive and inclusive change accordingly.

Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.

Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.

The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.

The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.

The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.

Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.

Employees are considered as important contributors to service innovation, but the literature is not unanimous about what employee involvement in service innovation entails. To advance theoretical understanding of the topic, this paper develops a conceptual framework for analysing employee involvement in service innovations, reviews existing research on the topic and proposes a research agenda.

Different modes of employee involvement in service innovation are distinguished based on two dimensions: (1) the intensity of employee influence on service innovation and (2) the breadth of the innovation activity in which employees are involved. This conceptual framework is abductively developed through a literature review of empirical service innovation studies to identify and analyse whether and how these modes of employee involvement are manifested in the service innovation literature.

The findings delineate six modes of employee involvement in the reviewed service innovation studies. Employees are primarily seen as having a strong influence on situated innovation activities but a limited influence on systemic innovation activities. The findings show that more research is needed to assess the connections between different modes of employee involvement.

The findings can be used by practitioners to assess the possibilities different modes of employee involvement may bring to service innovation activities.

The proposed conceptual framework and the analysis of current research and research gaps in service innovation studies provide a clear research agenda for progressing multidimensional understanding of employee involvement in service innovation.

British construction industry KPI data collected over recent years shows a trend in projects exceeding their time schedules. In 2013, the UK Government set a target for projects timeframes to reduce by 50 per cent. Proposed interventions included more rapid project delivery processes, and consistent improvements to construction delivery predictions, deployed within the framework of 4D Building Information Modelling (BIM). The purpose of this paper is to use Rogers’ Innovation Diffusion theory as a basis to investigate how this adoption has taken place.

In total, 97 construction planning practitioners were surveyed to measure 4D BIM innovation take-up over time. Classic innovation diffusion research methods were adopted.

Results indicated an increasing rate of 4D BIM adoption and reveal a time lag between awareness and first use that is characteristic of this type of innovation.

Use of a non-probability sampling strategy prevents the results being generalisable to the wider construction population. Future research directions and methods are suggested, including qualitative investigations into decision-making processes around 4D BIM, and case studies exploring the consequences of 4D BIM adoption.

Recommendations of how to facilitate the adoption of 4D BIM innovation are proposed, which identify the critical aspects of system compatibility and safe trialling of the innovation.

This paper reinforces 4D BIM as an innovation and records its actual UK industry adoption rate using an accepted diffusion research method. By focusing on UK industry-wide diffusion the work also stands apart from more typical research efforts that limit innovation diffusion exploration to individual organisations.

This research study assessed the mindset of individuals regarding their perception of innovation as a means for successful product or process improvement and their perception of thought processes that underpin innovative practices. It investigated the attitudinal foundation for the development of training, development and assessment of structured innovation methodologies.

A combination of qualitative and quantitative research gathered through an anonymous survey designed to explore the basic understanding of innovation and included open-ended questions supported more integrated perceptions of innovation in the sampled population's own experiences. The participants of the survey and research were drawn from the public, but it focused more specifically on demographic groups known for their interest in innovation, either as practitioners or teachers.

The results found, overwhelmingly, survey participants believed innovation is a skill; however, they also believed, inconsistently, that innovation itself is an unpredictable, unstructured and unsystematic process.

At a practical level, exploring the propensity for individuals or groups to believe defined innovation practices can be effective and that these practices can be learned, measured and improved drives the overall effectiveness of training and organizational leadership. With research, we can make training professionals aware that the mindset of potential innovators is to favor a belief in brainstorming and random success. Doing so can significantly impact the preparation of training and development programs for developing structured innovation capabilities.

Training a new generation of innovators, especially young children, requires care so that they internalize the right mindset and the right tool strategy to be the best innovators possible.

Previous research has highlighted the digitization of innovation processes and outcomes especially with regard to the impact of information technology (IT) on new product development (NPD). Instead of analyzing generic IT usage in the NPD, the purpose of this paper is to explore the influencing factors on the adoption of specific software tools to support innovation management methods, called innovation management software (IMS) and their specific functionality.

The authors used an online questionnaire and gathered data from 99 innovation managers of German industrial firms to explore which functionalities embedded in the tools such as aided innovation methods and activities influence the adoption of IMS.

This study’s results indicate in contrast to the previous assumptions in the literature that the likelihood of IMS adoption by innovation managers is positively influenced if the IMS tools offer support functionality for idea evaluation and portfolio management but decreased for idea generation and scenario management. Therefore, this paper can show, that the digitalization of the innovation process though IT tools is more finely nuanced than a “the more – the better” logic often promoted in the digitalization context and proposed in the literature on IMS before.

These findings advance the understanding of technological and organizational drivers of the transformation toward the digitalization of the innovation process from the perspective of innovation managers, who intend to do so by successfully introducing and using IMS in their NPD. Additionally, suppliers of IMS get valuable empirical-based indications from the user perspective that potentially supports their development and sales activities. From a theoretical perspective, this study extends prior research on IT usage and digitalization in the innovation process by expanding to an under-researched category of digitization for the innovation manager perspective aspects of the NPD activities.

The purpose of this paper is to investigate the links between the enterprise social networks (ESN) use and the exploitative and exploratory innovations and deepen the analysis by examining the mediating role of the sub-dimensions of intellectual capital (IC) in these relationships.

The authors use a quantitative method based on the questionnaire administrated to a sample of 248 middle managers working in Tunisian ICT firms. Regarding the data analysis, the authors use a partial least square-structural equation modeling (PLS-SEM) method.

Results highlight that whereas exploratory innovation is positively linked to human capital (HC) and social capital (SC), exploitative innovation is positively associated with HC. Findings show that the ESN use is linked positively to exploitative innovation and this link is mediated by HC. The data analysis also revealed that HC and SC mediate the link between ESN use and exploratory innovation.

Although limited studies have investigated the effect of the ESN use on firms, this research pioneers the examination of the effect of the ESN use on exploitative and exploratory innovations within ICT firms and the mediating roles of HC, SC and organizational capital that have never been explored. Findings are highlighted along with interesting insights for managers and outline the key aspects related to the ESN use that may improve the sub-dimensions of IC and boost exploitative and exploratory innovations.