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The purpose of this paper is twofold: first, it aims at the identification and assessment of the commitments towards sustainable development (SD) communicated to all interested parties (stakeholders) by top management; and second, mapping the profile of the organisations which prominently communicate those commitments.

The research methodology was supported on the content analysis of the organisations’ statements (disclosed on the institutional website) that sustain the strategy and policies (organisational culture). A total of 540 certified Portuguese organisations in Quality, Environment and Occupational Health and Safety (QEOHS) comprised the sample.

According to this research, it is possible to identify three main commitments towards SD addressing customers (consumers), human resources (employees) and continuous improvement. Furthermore, results suggest that commitments towards customers and human resources fit properly into the theoretical assumptions of the stakeholder theory and, in turn, the commitment towards continuous improvement fits accurately into the assumptions of the “normative isomorphism” of the institutional theory. Moreover, the results pointed out the characteristics of Portuguese organisations (QEOHS) that prominently communicate commitments towards SD: large business volume, located in Lisbon or Setubal, fall within the public business sector, are members of the BCSD Portugal and publish annual reports on the institutional website.

Solely organisations operating in Portugal and simultaneously encompassing three certified management subsystems (against the clauses of ISO 9001, ISO 14001 and OHSAS 18001 standards) were considered throughout this study. So it is not possible to ascertain at which extent the conclusions are valid. However, although the statistical generalisation of the results may be precluded, there is not any peculiar reason preventing the analytical generalisation, namely, in organisations operating in countries with similar macro-characteristics of Portugal.

To the best of authors’ knowledge this is the first time that such a comprehensive, detailed and thorough analysis of the communicated commitments towards SD is carried out regardless the activity sector. The conclusions from this paper are useful both for practitioners and scholars. On one hand companies have now information on the more often communicated statements, while on the other hand academics and scholars will benefit from this research and hopefully be able to replicate it in other contexts.

The purpose of this paper is to map the process of opening an innovation network in the context of the Brazilian agroforestry sector.

Qualitative case study of the open innovation network Embrapa Florestas (17 semi-structured interviews, observation and documentary data). Social network analysis (SNA) of the open innovation network from primary data is available at Embrapa Florestas’ system.

Three primary triggers to the opening process of Embrapa Florestas’ innovation network were identified. The process starts with an innovation network with closed network characteristics. The process of opening the innovation network is motivated by a restructuring in its source of fundraising (trigger 1), by the change in strategic orientation toward the internationalization of its network activities (trigger 2) and by opening the black box of its innovation with greater proximity to the productive sector and partner universities (trigger 3). Comparing the pre-opening and post-opening networks (open innovation network), sociometric data allows us to verify that the opening of the innovation network presents better density, clustering and centrality indexes for the network as a whole and for the Embrapa Florestas specifically.

This is one of the first studies that aims to investigate the transition from a closed innovation network to an open innovation network by a public research institute. It may also be considered innovative because it presents practical and managerial relevance – in addition to contributions to public policy makers – which allows for improvements in the development of innovation and technology in the country's strategic sectors.

This study aims to explore how certain adoption barriers of additive manufacturing (AM) technology may lead to supply chain (SC) vulnerabilities, which in turn would deteriorate supply chain resilience (SCR).

A case study of a leading original equipment manufacturer (OEM) that uses AM technology to directly produce end-use metal parts for different industries was performed. Primary data were collected using the in-depth interview method, which was complemented by secondary data from internal and publicly available sources. The findings were compared with the existing literature to triangulate the results.

The findings indicate that certain AM adoption barriers make the SC vulnerable to reliance on specialty sources, supplier capacity, production capacity, utilization of restricted materials, importance of product purity, raw material availability, unpredictability in customer demand, reliability of equipment, unforeseen technology failures, reliance on information flow, industrial espionage, and utilities availability.

The SCR outcomes of the identified SC vulnerabilities and their interrelated AM adoption barriers are proposed in this study.

Drawing on the case study findings and the existing literature, several practices are put forward in a framework that supply chain management (SCM) may use to mitigate the identified SC vulnerabilities caused by the AM adoption barriers.

This is the first study to empirically examine and identify the SC vulnerabilities that are caused by the adoption barriers of AM technology.

This paper aims to identify the impacts of wire and arc additive manufacturing (WAAM) technology on the green supply chain management (GSCM) performance. Also, it intends to identify the most essential WAAM capabilities.

An exploratory case study related to a metallurgical company using WAAM technology to repair metallic components was developed. A research framework to identify WAAM production capabilities and the different GSCM performance criteria was proposed based on the current state of the art. Primary qualitative data provided evidence for developing seven propositions relating WAAM capabilities to GSCM performance.

The paper provides empirical evidence relating to how WAAM production capabilities impact the different performance criteria of the GSCM performance. The results show that “relative advantage” and “supply-side benefits” are critical capabilities developed through WAAM. Furthermore, most of the capabilities regarding “relative advantage” and “supply-side benefits” promote a higher GSCM performance.

This research was carried out using a single case study research design and using qualitative data. Thus, future works are encouraged to test the propositions empirically using quantitative methodologies.

The case study findings support that most WAAM production capabilities promote a higher GSCM performance. Managers could use this research to understand the capabilities developed by this fusion-based additive manufacturing (AM), become aware of the implications of new technology adoption on the supply chain environmental externalities, and develop new business models based on the WAAM capabilities.

This research contributes to expanding the state-of-the art related to WAAM technology by evidencing the relationship between adopting this fusion-based AM technology and green supply chain practices. Also, it provides a set of seven propositions that could be used to theorise the impacts of WAAM adoption on the GSCM performance.

The warehouse industry is one of the backbones in the logistics operation which involves several activities i.e. storage, receiving, picking and shipping of goods/cargoes. This study analyzes the most important warehouse productivity indicators for improving warehouse operation efficiency.

This study presents an empirical methodology of the fuzzy analytical hierarchy process (FAHP) method, an integration between the fuzzy logic method with an analytical hierarchy process (AHP) method incorporated with the adoption of quantitative and systems theories under the modern management theory approach.

The results indicate that the weight values of the main criteria which lead by the criterion “Space (0.4005)” at the top ranking, followed by Information System (0.2445), Labor (0.2065) and Equipment (0.1484). In addition, the weight values and ranking of the 16 sub-criteria are also highlighted which the sub-criterion “Warehouse Management System (0.2445)” scores the highest weight value and followed by Storage Space Utilization (0.1043) and Throughput (0.0722) accordingly.

Finally, this research contributed to enrich the literature, while highlighting a series of recommendations on the top three most significant productivity performance indicators that can be useful in further research.

A generic analysis model developed with the adoption of three study theories: quantitative, system and productivity theories.

The aim of this study is to investigate the perceived benefits offered by integrated management system (IMS) in the readymade garments (RMG) sector in Bangladesh and the respective linkage with corporate social responsibility (CSR) to promote sustainable development. This study presents a list of IMS benefits composed of different international management standards according to ISO 9001:2015, ISO 14001:2015, OSHAS 18001: 2007 and SA 8000:2014.

To identify the possible benefits of IMS, a systematic literature review was conducted from 2009 to 2019, namely, in the database of Elsevier, Emerald and John Wiley. A questionnaire survey was developed with the purpose of examining the perceived main benefits of IMS. The questionnaire was e-mailed to 355 representatives of 15 RMG sectors in Bangladesh. A total of 256 complete and useable responses were received, constituting the base of this work. Subsequently, statistical analysis was conducted using SPSS 20 software.

The main findings of the present study show that the most important five benefits of IMS in RMG sector in Bangladesh are better capacity to achieve organization’s objectives, optimum use of various resources, business sustainability, synergies of different management policies and reduction of duplication efforts.

Two major limitations of the study are as follows: first, it is not a longitudinal study; second, IMS benefits were examined in the national sector context. The present study has both theoretical and practical implications. The study presents a comprehensive list of IMS benefits that contribute to the existing literature from a theoretical point of view. On the other hand and from a practical point of view, this study encourages managers to implement IMS in their organizations.

This study helps in understanding the contribution of IMS benefits to cleaner production and CSR in Bangladesh. The focus on the benefits of IMS in the RMG sector in Bangladesh is another significant aspect of this study because it promotes the development of environmental policies linked to CSR with stakeholder engagement, as a driver to sustainable development.

Buoyed by the increasing demand for improved productivity and environmentally conscious manufacturing, research in the area of lean production and green manufacturing has experienced significant growth since Dües et al. (2013). Taking the latter as the point of reference, a review of recent developments in the complementary and conflicting areas between lean production and green manufacturing that has been missing is presented.

A systematic search was done to identify articles on lean production and green manufacturing from Scopus, Web of Science and Google Scholar. The population-intervention-outcome format was used to develop and answer the research questions. ATLAS.ti 22 was used to analyse 141 qualifying papers and identify the research themes.

Lean production and green manufacturing have strong synergy, and when integrated, they tend to deliver superior organisational performance than their individual implementations. This is consistent with the pre-2013 results, and other areas of synergy and divergence were also identified.

The study considers only papers published in the manufacturing sector after Dües et al. (2013). A review of lean production and green manufacturing in integrated product-service systems may also be relevant, especially due to the continuing trend since its introduction.

Any new adopter of lean production should consider implementing it simultaneously with green manufacturing.

This study establishes the persistence of the pre-2013 patterns of synergy and divergence between lean production and green manufacturing, and identifies new considerations for their joint implementation.

The purpose of this paper is to apply the theory of perceptual image to clothing, study the effect of bra components on the perceptual image of Chinese female consumers aged 18 to 27, explore the relationship between them, promote the computer-aided bra design to be more rapid and accurate and meet consumer's needs better.

In this paper, cognitive psychology and mathematical analysis methods were used, and two experiments were conducted. A reaction time experiment was conducted based on 3D virtual bra samples, proving that bra components have an effect on the consumer's perceptual image and obtaining a revised bra component design indicator system by multi-dimensional Scaling (MDS). A projection experiment was conducted to study what kind of relationship exists between the two, and a prediction model was constructed by the quantitative I-class theory.

It is found that bra components have an effect on perceptual image of Chinese female consumers aged 18 to 27. A total of five important components (cup area, center front height, torso width, side wing width and center back shape) that affect the consumer's perceptual image were identified by MDS and references analysis, and then a bra perceptual image space composed of five pairs of words was constructed by subjective evaluation and cluster analysis. What is more, a prediction model was obtained by the quantitative I-class theory; after testing, the model can visually and effectively predict consumer's perceptual image according to bra components indicators, which provide a convenience for the positive design of bras.

In this article, the authors just studied bra components, but did not take fabric, color and other factors that also affect the perceptual image into consideration. Further research can use this method to study other important influential factors as well as their comprehensive impact. Also, the subjects are Chinese young women; consumers of other age or from other countries are not involved, and more extensive research can be done in the future.

The bra component indicator system can help to build a more systematic and clearer bra design library, which provides convenience for designers to search and use them quickly, improving the efficiency of bra design. The prediction model is also helpful to bra designers and companies. When they already design a bra, they can use this model to predict consumer's perceptual image, thus carry out more accurate market positioning and promotion. When they want to satisfy consumers or design a specific effect, they can also refer to this model to reverse design of components. In general, the outcomes of this paper can help companies to quickly establish a computer-aided bra design system, which is conducive to designers to accurately design and better meet market's needs, and the method is also a good attempt to apply the theory of perceptual image in psychology to clothing and can be extended to other relevant fields in the future.

Based on cognitive psychology, this paper attempts to apply the theory of perceptual image in psychology into clothing and takes bra as an example to study the relationship between bra components and consumer's perceptual image. The prediction model constructed here is conducive to the development of bra design and to meet personalized needs of consumers. This method can also be extended to other fields in the future.

The purpose of this paper is to better understand whether firm cooperation and absorptive capacity foster success in seeking public financial support for innovation activities and, by doing so, how they contribute to innovation output.

The authors therefore extend the existing literature focusing on the effects of cooperation and absorptive capacity on specific public financial support for innovation activities in Portuguese firms from local or regional government, central administration and the European Union by using available data from the Community Innovation Survey CIS 2010 and the application of logistic regression models. The empirical analysis enabled a better understanding of the positive relationship of the variables that determine the form of public financial support in the integration of incentives within firms to stimulate innovation.

Therefore, as the level of absorptive capacity in Portuguese firms increases, so does the demand for benefits from public financial support to stimulate innovation from the European Union also increases. The same analysis, now considering the determinant cooperation, notes the positive effects of institutional sources of information and cooperation, in the propensity for seeking public financial incentives from the Central Administration and the European Union. As for internal information and cooperation sources, they are positively related to the integration of incentive measures from the local or Regional Administration and Central Administration.

The paper presents results that allow us to propose some suggestions that both the firms and those responsible for the implementation of public policies can undertake to increment innovation performance.

The behavioural theory adds a new paradigm of analysis with the assumptions of the decision maker’s cognitive biases and their repercussions on financing decisions. The aim of the study is to analyse the repercussions of these biases on the adjustment speed of firm’s capital structure toward the optimal level.

Based on a partial adjustment model, the study uses the Dynamic Panel Fractional estimator to analyse panel data from 4,990 Portuguese entrepreneurial firms.

The results show that the cognitive overconfidence bias impacts the entrepreneurial firm’s capital structure. In fact, the firms run by overconfident managers adjust more slowly than their counterparts. Furthermore, the findings suggest that entrepreneurial firms make relatively fast adjustments toward the optimal debt level and follow a hierarchical financing order in the funding process.

The results of this paper are not only interesting to the academia, but also contain practical implications for corporate, institutional and business policy and governance. First, the paper introduces a new measure of cognitive bias in optimistic managers, which is useful for current and future academic research. Also, in practical terms, the findings of the paper reveal that when a company is contemplating hiring a manager, it should consider whether they need an optimistic or non-optimistic manager based on the company's present life cycle or situation.

The current analysis extends the existing literature. The study suggests that financial classical and behavioural paradigms should not be separated, which can provide evidence to help narrow the gap between these two major perspectives.