Search results

Eco-innovation is emerging as one of the most important constructs that improve environmental sustainability of firms. However, it has been shown that companies alone cannot adequately develop eco-innovation activities, which is why they require the implementation of external collaboration activities with intermediaries, suppliers and stakeholders to achieve a higher level of eco-innovation activities and improve business performance of manufacturing firms. Therefore, this research fills this gap by exploring the importance of the relationship between collaboration and eco-innovation.

The research is conducted through an extensive literature review with a research model consisting of 5 measurement scales, 24 items and 4 hypotheses. A self-administered questionnaire was distributed to a sample of 460 firms in Mexico, analyzing the data set through confirmatory factor analysis and structural equation models.

The results obtained from this study suggest that collaboration has significant positive effects both on the eco-innovation of products, processes and management, as well as on the business performance of companies in the automotive industry.

The findings of this study have important implications both for the public administration (e.g. development of policies to support companies and financing programs) and for the managers of companies in the automotive industry (e.g. training program for employees and collaboration with other firms).

This paper fills a research gap by expanding the limited body of knowledge that relates collaboration eco-innovation and business performance, which is why this research aims to fill this existing gap in the literature and explore the relationship between collaboration, eco-innovation and business performance.

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.

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.

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.

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.

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.

Green innovation and sustainability are two contemporary initiatives that are gaining more and more attention from researchers, academics and industry professionals as they are considered important business strategies to improve environmental conditions and obtain better organizational performance. Besides, the growth of uncontrolled economic activities leads to an imbalance of economic, social and environmental values in different sectors. However, little is known about the mediating role that economic, social and environmental sustainability has in the relationship between green innovation and firm performance. Previous literature has focused on developed economies, but not on a developing economy such as that of Mexico. Therefore, this research aims to fill this existing gap by exploring the mediating effects of sustainability in the relationship between green innovation and firm performance.

A theoretical research model that theorizes, through ten hypotheses, the antecedents and consequences of the mediating effect of economic, social and environmental sustainability and the occurrence between green innovation and firm performance is proposed. The model is tested through PLS-SEM using data that were collected using a questionnaire survey that was distributed among companies in the automotive industry in Mexico. In total, a sample of 460 responses was obtained.

The results suggest that green innovation has significant positive effects on economic and environmental sustainability, as well as on firm performance, but not on social sustainability. The results also indicate that the relationship between green innovation and firm performance improves considerably with the mediation of economic, social and environmental sustainability.

Despite the present study focused on an industrial sector that is commonly at the forefront of technological development, it was limited to a specific region of Mexico. Thus, its results must be taken with caution as more extensive results including other regions and nations will be required to further validate the results obtained from the present study.

The findings of this study have important implications for both policymakers and managers of manufacturing firms in the automotive industry as they can be used as a basis to formulate better strategies and policies to enhance the capabilities of companies to develop innovations that could reduce environmental risks and other consequences of climate change.

The present study adds to the innovation and sustainability body of knowledge by analyzing and discussing the mediating role of sustainability in the relationship between green innovation and firm performance. It also generates new knowledge about the mediating effect that sustainability has on the relationship between green innovation and firm performance, particularly in the context of a developing economy such as that of Mexico.

Outlines the development of genetic algorithms (GA), explains how they generate solutions to problems and applies four GA models incorporating different factors (e.g. risk, transaction costs etc.) to financial investment strategies. Uses 1987‐1996 share price data from the Madrid Stock Exchange (Spain) and a buy‐and‐hold strategy in the IBEX‐35 index as a benchmark. Shows that all four GA models generat superior daily returns of long positions with lower risk; and discusses the variations between them in detail.

The object of this research is the reconstruction of the existing legal response by European Union states to the phenomenon of immigration. It seeks to analyse the process of conferral of protection.

One main dimension is selected and discussed: the case law of the national courts. The study focuses on the legal status of immigrants resulting from the intervention of these national courts.

The research shows that although the courts have conferred an increasing protection on immigrants, this has not challenged the fundamental principle of the sovereignty of the states to decide, according to their discretionary prerogatives, which immigrants are allowed to enter and stay in their territories. Notwithstanding the differences in the general constitutional and legal structures, the research also shows that the courts of the three countries considered – France, Germany and Spain – have progressively moved towards converging solutions in protecting immigrants.

The research contributes to a better understanding of the different legal orders analysed.

The purpose of this paper is to examine the effects of the current global crisis on the integration and co‐movements of selected Islamic stock markets.

Time series techniques of cointegration were used over the period spanning from February 15, 2006 to December 31, 2008. In order to explore changes in the stock market integration and co‐movement, following Majid and Kassim, we divide the period of analysis into two periods, namely the pre‐crisis period (February 15, 2006‐July 25, 2007) and during crisis period (July 26, 2007‐December 31, 2008).

No evidence was found of cointegration among the Islamic stock markets in both periods. Accordingly, the 2007 subprime crisis does not seem to affect the long‐run co‐movements among the Islamic stock markets.

The Islamic stock markets provide opportunity for the potential benefits from international portfolio diversification, even after the subprime crisis. The prohibition of riba, gharar and maysir is one of the plausible reasons of no cointegration in the Islamic stock markets.

Using the Islamic stock indices, to the best of the authors' knowledge, goes clearly beyond the existing literature on the subject matter.

As a leading sector that has entered the international market, the Indonesian Textile and Apparel (T&A) industry has begun to focus on sustainability issues; however, this study is still limited. This paper aims to conduct a systematic review and explore future research opportunities in developing sustainable supply chain management (SSCM) in the T&A industry in Indonesia, particularly in the small- and medium-sized enterprise (SME) sector.

A systematic literature review (SLR) through five academic databases, including Science Direct, IEEE Explore, Scopus, Google Scholar and Web of Science, was conducted and followed by a content analysis of the selected papers.

Directions for future research include designing a standardized and sustainable measurement of SSCM performance; analyzing SSCM practices in T&A SMEs through the concept of sustainable entrepreneurs; and exploring the application of a circular economy in the T&A industry, known as circular fashion, which is preferred by the community, affordable and environmentally friendly.

This research only used secondary data. In-depth interviews with relevant experts should also be conducted to get a more comprehensive picture of this issue.

To the best of the author’s knowledge, this is the first SLR analyzing the implementation of SSCM in the T&A industry in Indonesia.

Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and computing technologies. The purpose of this paper is to construct a more accurate and stable grey model based on similar information fusion to predict the real-time remaining useful life (RUL) of aircraft engines.

First, a referential database is created by applying multiple linear regressions on historical samples. Then similarity matching is conducted between the monitored engine and historical samples. After that, an information fusion grey model is applied to predict the future degradation trajectory of the monitored engine considering the latest trend of monitored sensory data and long-term trends of several similar referential samples, and the real-time RUL is obtained correspondingly.

The results of comparative analysis reveal that the proposed model, which is called similarity-based information fusion grey model (SIFGM), could provide better RUL prediction from the early degradation stage. Furthermore, SIFGM is still able to predict system failures relatively accurately when only partial information of the referential samples is available, making the method a viable choice when the historical whole life cycle data are scarce.

The prediction of SIFGM method is based on a single monotonically changing health indicator (HI) synthesized from monitoring sensory signals, which is assumed to be highly relevant to the degradation processes of the engine.

The SIFGM can be used to predict the degradation trajectories and RULs of those online condition monitoring systems with similar irreversible degradation behaviors before failure occurs, such as aircraft engines and centrifugal pumps.

This paper introduces the similarity information into traditional GM(1,1) model to make it more suitable for long-term RUL prediction and also provide a solution of similarity-based RUL prediction with limited historical whole life cycle data.