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This paper aims to introduce a new sustainable business excellence model, called Knowledge Management Excellence Model 21 (KMEM21), a theoretical framework that combines Knowledge Management and Business Excellence Models (BEMs), proposing an approach applicable to organizations to directly contribute towards achieving the United Nations Sustainable Development Goals (SDGs). The paper through a qualitative-exploratory methodology makes an analysis and benchmarking, emphasizes the integration of Knowledge Management and three specific Business Excellence Models (Management Excellence Model (MEG) from Brazil, Baldrige Excellence Framework, and EFQM). This integration uncovers relationships between organizational concepts associated with Knowledge Management and BEMs, which contributes to new insights in the literature regarding these concepts' interplay. BEMs are presented as tools that can catalyze the power of Knowledge Management towards achieving SDGs. However, it's noted that the existing BEMs might not be adequate, as the goal extends beyond organizational improvement and excellence to encompass sustainable development aligned with SDGs. The article suggests that specific organizational concepts, identified through a literature review and aligned with Knowledge Management and BEMs, can be selected as indicators associated with the constructed KMEM21 and the SDGs. These indicators are intended to form a bridge between the new model and the SDGs. However, given the comprehensive nature of the theory, model development, application, result acquisition, and analysis, the article's primary contribution will be in its focus on elaborating the instrument and technique, demonstrating the creation of a theoretical framework for the SDGs. Future works will showcase the application of the proposed KMEM21 method in five Brazilian organizations, members of Global Compact, to compare the achieved objectives and the results obtained with the organizations' performance and their sustainability reports. [Display omitted] • There is a visible relationship between knowledge management and business excellence models, aided by shared organizational concepts. • Achieving the SDGs in organizations can be done by using the traits incorporated into knowledge management and business excellence models. • The Knowledge Management Excellence Model 21 represents an original approach, acting as a new sustainable business excellence model. • A comprehensive model can be constructed using a methodology that incorporates an instrument, a technique, and a method. • KMEM21 presents a strategic path that aligns with business excellence principles and the sustainable development objectives, offering a framework for organizational success. [ABSTRACT FROM AUTHOR]

Since the 17 Sustainable Development Goals (SDGs) were established in 2015, scientists have attempted to utilize them for sustainability assessments. This paper aims to synthesize the existing approaches in order to make recommendations for future utilization. A systematic literature review was conducted, focusing on innovations as the assessment object and including scientific papers as well as gray literature. Of the initially identified 603 documents, 30 articles contained precise descriptions of approaches utilizing the SDGs for the sustainability assessment of innovations. These approaches were analyzed in three sequential steps: categorization of the operational choices of SDG-based sustainability assessments, discussion of the advantages and disadvantages of these operational choices, and finally deriving recommendations for future utilization. We identified two main approaches: (1) integrating the SDGs into the sustainability assessment methodology or (2) subsequently assigning the assessment results to the SDGs. For the first approach, the SDGs were most frequently used as assessment criteria, but were also used to derive benchmarks or select indicators. In the second approach, assessment results were linked to goals, targets or indicators. The majority but not all articles clearly stated that all 17 SDGs were considered. The most frequently mentioned motivation for SDG utilization was to provide a holistic definition of sustainable development, followed by providing a precise description of sustainable development and international recognition. Only the integration of all 17 SDGs into the sustainability assessment conveys all three of these motivations. Hence, this approach is recommended for maximizing the utilization of SDGs when assessing the sustainability of an innovation. Subsequently assigning the assessment results to the SDGs is suggested as an alternative approach if the scientist's time and resources are limited. Since this approach predefines the SDGs that can be linked through the sustainability assessment methodology utilized, the holistic character of the SDGs is forfeited. More generally, the diversity of approaches found in the literature can be explained by several individual limitations and prerequisites. It is therefore recommended that authors document their research motivation transparently and justify the operational choices they made to fulfil it. This study contributes to the scientific community by (a) providing an overview of possible approaches for utilizing the SDGs in sustainability assessments of innovations and (b) providing recommendations for utilization based on a discussion of the advantages and disadvantages. [Display omitted] • Sustainability assessments of innovations utilizing SDGs were systematically reviewed. • Operational choices in SDG utilization were categorized. • More than 10 (sub-)categories of SDG utilization were identified. • Most frequent reason for utilizing SDGs is their holistic nature. • Holistic nature is transferred only by integrating all 17 SDGs into the assessment. [ABSTRACT FROM AUTHOR]

As the path of industrial eco-efficiency (IEE) needs to be re-examined from a multi-dimensional perspective, this research opens the internal "black box" of China's industrial eco-economic system driven by sustainable development goals (SDGs) and decomposes IEE into industrial production and sustainable development stages. It further divides the industrial production stage into two parallel subsystems of water use efficiency (WUE) and energy efficiency (EE) and derives SDG6 efficiency (SDG 6 E) and SDG7 efficiency (SDG 7 E) in the sustainable development stage respectively. The paper proposes a meta two-stage parallel entropy dynamic DDF-DEA model to re-measure IEE of 30 provinces in China from 2015 to 2021, discusses the relationship between overall efficiency and stage efficiency, and by using the Tobit model explores various types of influencing factors by subregion. The results show that the modified DDF-DEA model can explore China's IEE more accurately under SDGs. China's IEE is more stable from 2015 to 2021, with the efficiency value always fluctuating between 0.59 and 0.64, the overall level is low, and there is more room for improvement. There are significant inter-provincial differences in IEE and efficiency inertia. In more than 75% of the provinces SDG 7 E constrains IEE improvement, while the dynamic evolution of IEE and its subsystem efficiency varies across regions. Environmental regulation is a common factor affecting IEE across the country and in the east, central, and west regions, whereas the level of economic development, openness to the outside world, and urbanization rate are differential factors affecting IEE across the country and in the three major regions. This study offers new perspectives for exploring the path of IEE enhancement and providing empirical references for the collaborative construction of industrial ecological civilization. [Display omitted] [ABSTRACT FROM AUTHOR]