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Purpose This study focuses on establishing relations with some important but underestimated elements of knowledge dynamics and firm orientations to characterize organizational circular economy activities through eco-innovation (EIN). The advent of the circular economy (CE) in this post-pandemic era has brought unpredictable sustainable challenges for the manufacturing industries. This research paper aims to bring more clarity to the extant literature on the relationship between environmental innovation (EI) and CE. Design/methodology/approach In this study, a systematic literature review methodology was used to research the determinants of EI in the knowledge environment that drives the implementation of a CE. Findings This paper proposes a framework that articulates organizational learning and orientation dynamics and offers a new set of internal knowledge resources for a corporate CE. It is found that change toward CE requires connection with EI. However, successful CE growth largely depends on leveraging knowledge resources and orientation dynamics (stakeholder orientation, sustainability orientation, organization learning orientation and entrepreneurial orientation). CE techniques are still in their early phases of adoption and their implementation is still in its development. Circular knowledge economy (CKE) has the potential to be a useful alternative to achieving thriving CE to achieve sustainability in local and global businesses operations. Practical implications This study helps companies to understand the organizational learning and different orientation dynamics for achieving CE principles. The research findings imply that EI is critical in establishing a sustainable transition toward CE through organizational learning and orientation dynamics and has garnered significant attention from academics, public policymakers and practitioners. The proposed framework can guide managers to develop sustainable policies related to the CE. This research recognizes that firm-level CKE is important in shaping how knowledge resources relate to CE within transition management literature. Originality/value This paper abridges the knowledge gap in identifying key drivers and presents the current eminence, challenges and prognostications of sustainable EI parameters in the changing climate of CE. This study builds a framework that combines insights from different viewpoints and disciplines and extends one’s understanding of the relationship between EI and CE. From a theoretical perspective, this study explains the knowledge management complexity links between EI and CE. It builds a theoretical bridge between EI and CE to illustrate how firms transition toward CE following the recommendations. Thus, researchers should continue to support their research with appropriate theories that have the potential to explain EI and CE relationship phenomena, with a particular emphasis on some promising but underutilized theories such as organizational learning, dynamic capabilities and stakeholder theories.

In the 1990s, the “knowledge economy\" was hailed by policy-makers in developed democracies as an antidote to the anxieties arising from the era of market liberalization – an era characterized by the decline of skilled blue-collar work, increasing levels of social exclusion and widening regional inequality. The shift to knowledge-driven growth appeared to offer policymakers a way of harnessing technological progress and global economic integration for progressive purposes, and justifying progressive policies in terms of the economic benefits that they would produce. Nick O’Donovan tells the story of how the techno-optimism once associated with the rise of the knowledge economy came to be supplanted by widespread anxiety about technological progress, and how the political consensus that formed around a knowledge-driven growth agenda has unravelled, paving the way for the electoral upheavals experienced by many developed democracies in recent years. By examining the rhetoric and reality of knowledge-driven growth over the last three decades, the book highlights the flawed assumptions underpinning this policy agenda, showing how its economic shortcomings map on to patterns of political discontent evident today. It assesses whether there is scope for rebooting this policy agenda in the wake of the Covid-19 pandemic, or whether politicians will need to reach beyond it if they are to deliver inclusive prosperity and equitable growth in the future.

Implementing climate policy goals, such as achieving climate neutrality by 2050, requires significant transformation of the mining sector—which for some countries and regions where mining is still the basis of the economy and part of the identity is very difficult and results in significant social and economic costs. Focusing on regional aspects and characteristics of the mining sector in Poland and its impact on energy security, the paper provides insight into the noticeable process of mining modernization in the globalized world economy through its transition from the industrial era to a knowledge-based economy and the impact of these changes on regional development. The described process is directly related to implementation of innovative and new technical concepts and technological solutions for the mining industry. The indicated changes imply the need to redefine operating principles and organizational models in the mining industry in order to build responsive solutions based on innovations—shaping modern (intelligent) mining of the future—while at the same time being part of the transformation of (post-)mining regions into a multi-industry region. All the described elements are proposed as supporting elements of the transformation process—to ensure full use of the technological and infrastructural potential during the energy transition process.

At present, what is important in the management of knowledge economy is to assess its current level and take measures for its development. What is important in establishing the statistical assessment methodology for the level of knowledge economy is to set the key indicators for assessment and to improve its assessment methodology. For the purpose of research, we conducted the theoretical research on the main concepts related to assessing the level of knowledge-based economy, and on this basis, we set the key indicators for assessment and suggested the general assessment methodology. The first part of the paper discusses the theoretical background for statistically assessing the level of knowledge-based economy. In this part, we discussed the features of knowledge resource as the source of economic growth and the features and the expressions of knowledge-based economy. The second part of the paper suggests the statistical assessment methodology for the level of knowledge-based economy. After illustrating the different assessment methodologies for the level of knowledge-based economy, we suggested the key indicators and the methodology for statistically assessing the level of knowledge economy, based on the essential features of knowledge economy described in the first part and prior studies.

Firms need to transform dramatically to maintain their operations and survive. The pandemic has shown how family businesses (FBs) are solving complex problems faster than non-family. They have demonstrated the flexibility to transform and adapt because of their closeness to the firm’s processes and management and their social network inside and outside organizations that allow them to respond quickly to market needs based on a fast-making decisions process. FBs’ knowledge, which is embedded in their values, making decisions process, and remaining for generations, requires resilient and robust management. The relationship between family values and FB management differentiates by their complexity and generational aspect. These relations demonstrate that personal values can influence professionalization, succession, and innovation processes. In this regard, there is a lack of research to understand the findings, practices, and processes associated with managing the knowledge flows through which FBs execute innovation strategies and to build on professionalization and succession capabilities that could provide different avenues of innovation and adaptation for dealing with turbulent and uncertain times. This editorial intends to provoke discussion on what we know about family businesses and how they face different challenges in a complex world to survive. FBs must develop adaptive strategies and strengthen crucial processes to generate a competitive and sustainable advantage. Knowledge management provides models and tools to reinforce tacit knowledge management’s relevance in the professionalization and succession processes. Knowledge management becomes critical in an era in which uncertainty seems to be permanent.

Austin, Texas, is often depicted as one of the past half century's great urban successstories—a place that has grown enormously through \"creative class\" strategies emphasizing tolerance and environmental consciousness. In Shadows of a Sunbelt City, Eliot Tretter reinterprets this familiar story by exploring the racial and environmental underpinnings of the postindustrial knowledge economy. He is particularly attentive to how the University of Texas—working with federal, municipal, and private-sector partners and acquiring the power of eminent domain—expanded its power and physical footprint. He draws attention to how the university's real estate endeavors shaped the local economy and how the expansion and upgrading of the main campus occurred almost entirely at the expense of the more modestly resourced communities of color that lived in its path. This book challenges Austin's reputation as a bastion of progressive and liberal values, notably with respect to its approach to new urbanism and issues of ecological sustainability. Tretter's insistence on documenting and interrogating the \"shadows\" of this important city should provoke fresh conversations about how urban policy has contributed to Austin's economy, the way it has developed and changed over time, and for whom it works and why. Joining a growing critical literature about universities' effect on urban environments, this book will be of interest to students at all levels in urban history, political science, economic and political geography, public administration, urban and regional planning, and critical legal studies.

This paper argues that feelings of agency are linked to human well-being through a sequence of adaptive mechanisms that promote human development, once existential conditions become permissive. In the first part, we elaborate on the evolutionary logic of this model and outline why an evolutionary perspective is helpful to understand changes in values that give feelings of agency greater weight in shaping human well-being. In the second part, we test the key links in this model with data from the World Values Surveys using ecological regressions and multi-level models, covering some 80 societies worldwide. Empirically, we demonstrate evidence for the following sequence: (1) in response to widening opportunities of life, people place stronger emphasis on emancipative values, (2) in response to a stronger emphasis on emancipative values, feelings of agency gain greater weight in shaping people's life satisfaction, (3) in response to a greater impact of agency feelings on life satisfaction, the level of life satisfaction itself rises. Further analyses show that this model is culturally universal because taking into account the strength of a society's western tradition does not render insignificant these adaptive linkages. Precisely because of its universality, this is indeed a ‘human' development model in a most general sense.

The competitiveness of national economies is increasingly dependent on their ability to produce and use knowledge, as knowledge, education, and innovation are the main indicators of economic growth in a globalizing world. Many countries have adopted policies related to the production of knowledge and its transformation into wealth that stimulates the growth and competitiveness of their economies. Through our study, we measured some knowledge economy (KE) variables for a sample of 20 developing countries. During the period (1996–2020), using panel data, the estimate was made using three models: the cumulative regression model, the fixed-effects model, and the random-effects model. The results of the statistical tests indicated that the fixed-effects model is the appropriate model, and that the estimates of the proposed model parameters do not contradict the assumptions of economic theory, nor do they contradict the practical reality. In addition, the results showed that 93% one of the changes that occur in economic growth in the developing countries under study is due to the dependence on the knowledge economy. It became clear through the study that the use of cross-sectional time-series models increases the accuracy of statistical forecasting, because it considers the information with a time dimension in the time series, as well as the cross-sectional dimension in different units. Our study found a positive impact on economic growth of the internet and mobile phone users, control of corruption, political stability, foreign direct investment, and the total value of international trade. Additionally, spending on education, patents for residents, and trade openness had a negative impact on economic growth. Accordingly, the knowledge economy in developing countries contributed greatly to their economic growth and had a prominent role in maintaining high rates of growth for decades. Our study contributes by expanding the scope of developing countries in deciding to focus on the important indicators in the knowledge economy (KE), so that they can increase the added value of their economic growth.

Reflecting on the governance of smart cities, the state-of-the-art this paper advances offers a critique of recent city ranking and future Internet accounts of their development. Armed with these critical insights, it goes on to explain smart cities in terms of the social networks, cultural attributes and environmental capacities, vis-a-vis, vital ecologies of the intellectual capital, wealth creation and standards of participatory governance regulating their development. The Triple Helix model which the paper advances to explain these performances in turn suggests that cities are smart when the ICTs of future Internet developments successfully embed the networks society needs for them to not only generate intellectual capital, or create wealth, but also cultivate the environmental capacity, ecology and vitality of those spaces which the direct democracy of their participatory governance open up, add value to and construct.

The political ideology of neoliberalism is widely recognized as having influenced the organization of national and global economies and public policies since the 1970s. In this article, we examine the relationship between the neoliberal variant of globalization and science. To do so, we develop a framework for sociology of science that emphasizes closer ties among political sociology, the sociology of social movements, and economic and organizational sociology and that draws attention to patterns of increasing and uneven industrial influence amid several countervailing processes. Specifically, we explore three fundamental changes since the 1970s: the advent of the knowledge economy and the increasing interchange between academic and industrial research and development signified by academic capitalism and asymmetric convergence; the increasing prominence of science-based regulation of technology in global trade liberalization, marked by the heightened role of international organizations and the convergence of scientism and neoliberalism; and the epistemic modernization of the relationship between scientists and publics, represented by the proliferation of new institutions of deliberation, participation, activism, enterprise, and social movement mobilization.