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This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs).

To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework.

Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions.

There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today.

This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies.

The purpose of this paper is to explore the determinants of successful eco-innovation processes, using R&D intensity and green patents as metrics for eco-innovation measurement and analysis.

The paper reports the results of a quantitative study based on a sample of 2,218 firms with proactive profiles in eco-innovation, 249 of which have green patents registered in Spain or in the European Union.

The results suggest positive relationships between the activity of eco-innovation of firms with both the innovation activity in firms and the R&D intensity. The findings also confirm the influence of implementing innovation in the financial performance of business.

The results will be useful for future studies on the subject and for practitioners making decisions on investments in collaborative R&D and its protection through industrial property in the form of green patents. The main determinants of eco-innovation analysed in this paper can be directly translated into practices because they provide information on how to strengthen these determinants in environmental R&D investments and the registration of green patents.

The results will be useful for future studies on the subject and for practitioners making decisions on investments in collaborative R&D and its protection through industrial property in the form of green patents. The main determinants of eco-innovation analysed in this paper can be directly translated into practices because they provide information on how to strengthen these determinants in environmental R&D investments and the registration of green patents.

Despite the popularity and potential impact of the eco-innovation on economy or society, it has fallen short in terms of its potential to improve financial performance in firms. This paper argues that the level of eco-innovation activity explains some variability in financial performance. In fact, those firms that have greater levels of innovation increase their performance.

Explorar los determinantes del éxito de los procesos de ecoinnovación, utilizando la intensidad de I + D y las patentes verdes como indicadores para la medición y el análisis de la ecoinnovación.

Se analizan y presentan los resultados de una investigación cuantitativa basada en una muestra de 2218 empresas con perfiles proactivos en ecoinnovación, de las cuales 249 tienen patentes verdes registradas en España o en la Unión Europea.

Los resultados sugieren relaciones positivas entre la actividad de ecoinnovación de las empresas con su actividad de innovación y la intensidad de la I + D. Los resultados también confirman los efectos que la implementación de innovaciones tiene sobre el desempeño financiero de las empresas.

La medición de la ecoinnovación es incluso más compleja que la medición de la innovación debido a sus aspectos ambientales intrínsecos. Se podría alcanzar una evaluación más profunda con un mayor número de variables y una muestra más grande.

Los resultados serán útiles para futuros estudios sobre el tema y para los profesionales que toman decisiones sobre inversiones en investigación y desarrollo en colaboración y su protección a través de la propiedad industrial en forma de patentes verdes. Los principales determinantes de la ecoinnovación analizados en este estudio pueden traducirse directamente a las prácticas, ya que proporcionan información sobre cómo fortalecer estos determinantes en las inversiones en I + D ambiental y el registro de patentes verdes.

A pesar de la popularidad y el impacto potencial de la ecoinnovación en la economía o la sociedad, se ha quedado corto en cuanto a su potencial para mejorar el desempeño financiero de las empresas. Este estudio sostiene que el nivel de actividad de ecoinnovación explica cierta variabilidad en el desempeño financiero. De hecho, aquellas empresas que tienen mayores niveles de innovación aumentan su desempeño.

Generally, there is a common sense to consider knowledge sharing and creation as two separate processes but a new matter emerges when those processes are intertwining. In this vein, this research aims to discuss on the lens of the open innovation (OI) model how such intertwining generates digital platform-based ecosystem.

The theoretical approach is used to largely discuss the intertwining of knowledge sharing and creation in the current digital era. It debates such scenario considering past and present studies and suggests future research streamlines.

It offers a new theoretical model that can be implemented in a micro, meso and macro level where the concept of “ba” (or ba-sho) assumes the form of a digital platform where knowledge sharing is in motion and dynamically interacts with the knowledge creation.

By discussing the intertwining of knowledge creation and sharing in OI context along with digital trends (e.g. platform innovation ecosystems and platform innovation management), the study offers a new conceptual framework that relies on such intertwining accompanied by the concept of “ba – sho.” In this vein, research limits and new research are suggested to demonstrate and support this conceptual study.

The purpose of this study is to investigate the effects of open innovation, especially focusing on technological M&A, on subsequent innovation and changes to the firm’s core technological portfolio.

The study suggests three types of core technological areas, based on prior focus and experience in technological categories. These are 1) the existing core area, in which the acquirer firm retains its knowledge and expertise, 2) the enhanced core area, where knowledge and expertise in the acquirer firm’s insufficient areas are strengthened, and 3) the new core area, i.e. new knowledge fields in which the acquirer firm ventures into. The study then analyzes the effects of two key knowledge characteristics of the target firm, similarity and complementarity, on post-M&A innovation outcomes in each of the three core technological areas.

The results confirm that while none of the investigated knowledge characteristics of the target firm is advantageous for post-M&A innovation outcomes in existing core areas, similarity of the target firm does facilitate post-M&A innovation outcomes in enhanced core areas. Moreover, the results confirm that complementarity of the target firm is beneficial for post-M&A innovation outcomes in new core areas.

The study explains the reconfiguration mechanism of a firm’s core technological portfolio. It also suggests an extended framework to analyze innovation outcomes in more detail. Moreover, the study helps to explain why most M&As result in failure.

Environmental resources and human knowledge are the ultimate foundations on which human welfare is based. The impact of technical knowledge is well researched. Denison, for example, attributes no less than 47 per cent of the growth of real GNP in the USA over the period 1948–81 to technical change. The importance of the environmental resource base has been brought to the foreground by studies like Limits to Growth. Nowadays environmental policies are applied in most industrialised countries just to prevent further deterioration of the environment. In these countries it is not the physical environmental constraint that is felt, but perhaps the drag on economic growth exercised by the costs of environmental regulation. Whatever the nature of the environmental limit to economic growth may be, physical or juridical, it can be overcome by the use and extension of knowledge in order to reduce the amount of pollution and the costs of pollution control. Technical advance or innovation in pollution control is and will remain a very important factor affecting the success of the efforts that are made to improve environmental quality and to maintain growth of output. In this article we shall give a survey of the economic research in the area of innovation and pollution control. The main research themes will be indicated, “blank spots” pointed out and suggestions made about possible subjects for fruitful future research. In section I a short introduction is given to the general economic approach to technical change and innovation. In section II the existing economic literature on pollution control and innovation is reviewed. It will be argued that some of the most relevant research themes have not been taken up. These issues will be discussed in sections III and IV. Section V contains conclusions and recommendations for future research.

The purpose of this paper is to look at the factors driving labour creation in Russia, while paying attention to the role of innovation policy. The study considers innovation variables with indicators linked to social conditions (social filter component) and geographical spillovers for 85 regions during the period 2010-2016.

In particular, the study uses latitude and longitude coordinates to compute the distance between Russian regions according to the Haversine formula. In this manner, it measures the spillovers as the weighted sum of R&D capital stock on the basis of computed distance, according to the accessibility index procedure.

The finding is very important in terms of policy implications for supporting employment. As the results stress that own innovation produces labour creation effects, while knowledge spillovers are labour-saving, the study could conclude that regional innovation policy may have undetermined the objective of an efficient level of absorptive capacity able to benefit positively from external innovation.

The study contributes to the literature by exploring whether geographical spillovers are labour-friendly or labour-saving in Russia.

Firms tend to transfer more knowledge in technology joint ventures compared to contractual technology agreements. Using insights from new institutional economics, this chapter explores to what extent the alliance governance association with interfirm knowledge transfer is sensitive to an evolving industry norm of collaboration connected to the logic of open innovation. The chapter examines 1,888 dyad-year observations on firms engaged in technology alliances in the U.S. information technology industry during 1980–1999. Using fixed effects linear models, it analyzes longitudinal changes in the alliance governance association with interfirm knowledge transfer, and how such changes vary in magnitude across bilateral versus multipartner alliances, and across computers, telecommunications equipment, software, and microelectronics subsectors. Increases in industry-level alliance activity during 1980–1999 improved the knowledge transfer performance of contractual technology agreements relative to more hierarchical equity joint ventures. This effect was concentrated in bilateral rather than multipartner alliances, and in the software and microelectronics rather than computers and telecommunications equipment subsectors. Therefore, an evolving industry norm of collaboration may sometimes make more arms-length governance of a technology alliance a credible substitute for equity ownership, which can reduce the costs of interfirm R&D. Overall, the chapter shows that the performance of material practices that constitute innovation ecosystems, such as interfirm technology alliances, may differ over time subject to prevailing institutional norms of open innovation. This finding generates novel implications for the literatures on alliances, open innovation, and innovation ecosystems.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

This chapter aims at providing an understanding of the research and devlopment (R&D) process in the pharmaceutical industry, by exploring the methodological challenges and approaches in the assessment of the determinants of innovation in the pharmaceutical industry. It (i) discusses possible methodological approaches to model occurrence of events; (ii) describes in detail competing risks duration models as the best methodological option in light of the nature of pharmaceutical R&D processes and data; (iii) concludes with an estimation strategy and overview of potential covariates that have been found to correlate with the likelihood of failure of R&D pharmaceutical projects.

This study attempts to document the impact of financial leverage on corporate innovation in the Chinese nonfinancial public firms listed on Shenzhen and Shanghai stock exchanges.

The firm-level data are collected from CSMAR database for ten years, ranging from 2007 to 2016. The authors have employed the panel fixed effects model and further system GMM approach for analysis. The sample is segregated on the basis of state (SOE) and nonstate ownership (NSOE) to check for the diverse effects. In total, three different proxies of financial leverage are used to unearth the varying impact of short-time and long-term leverage separately. Further, corporate innovation is divided into input innovation (R&D/Sales and R&D/Assets) and output innovation (patents and inventions).

The results suggest that financial leverage is detrimental to the input innovation while conducive for the output innovation when measured by the number of patents. Contrarily, leverage has a negative influence over the output innovation when measured by the number of inventions. This implies that leverage is more damaging for the highest form of innovativeness (inventions) in China. Input innovation is more sensitive to the changes in long-term leverage versus short-term leverage. Further, the authors find that innovation in SOEs is more sensitive to the changes in the leverage as compared to the NSOEs. The results are free from the threat of endogeneity and identification problems, as reported by the system GMM model.

The authors did not segregate the sample on the basis of industry/sector.

The firms pursuing a strategy of radical innovation should try to keep their debt levels lower in order to achieve a higher innovation performance. Although, a rise in the leverage may mean an increased access to finance for a firm but such an access comes at a cost in the form of damage to the corporate innovation. However, increased debt financing may not be so bad for the firms that want to achieve a moderate and not the highest level of innovation. Such firms can produce recurring and synergic effects with debt financing and moderate innovation, once they achieve a level of innovation performance that satisfies their financiers.

To the best of authors’ knowledge, this is probably the first study to check the impact of firm-level financial leverage on both input and output innovation in the Chinese public-listed nonfinancial firms' panel data perspective till now.