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This study aims to develop a polymer cement-based waterproof coating with self-healing capability to efficiently and intelligently solve the building leakage caused by cracking of waterproof materials, along with excellent durability to prolong its service life.

Ion chelators are introduced into the composite system based on ethylene vinyl acetate copolymer emulsion and ordinary Portland cement to prepare self-healing polymer cement-based waterproof coating. Hydration, microstructure, wettability, mechanical properties, durability, self-healing performance and self-healing products of polymer cement-based waterproof coating with ion chelator are investigated systematically. Meanwhile, the chemical composition of self-healing products in the crack was examined.

The results showed that ion chelators could motivate the hydration of C₂S and C₃S, as well as the formation of hydration products (C-S-H gel) of the waterproof coating to improve its compactness. Compared with the control group, the waterproof coating with ion chelator had more excellent water resistance, alkali resistance, thermal and UV aging resistance. When the dosage of ion chelator was 2%, after 28 days of curing, cracks with a width of 0.29 mm in waterproof coating could fully heal and cracks with a width of 0.50 mm could achieve a self-healing efficiency of 72%. Furthermore, the results reveal that the self-healing product in the crack was calcite crystalline CaCO₃.

A novel ion chelator was introduced into the composite coating system to endow it with excellent self-healing ability to prolong its service life. It has huge application potential in the field of building waterproofing.

Over the last 2 decades, supply chain sustainability research has become a highly dynamic and fruitful study area. This field has garnered significant attention due to its potential to reshape decision-making processes within supply chains. At the same time, the practical side of supply chain operations remains intensely competitive in today’s business landscape. Furthermore, the current academic research aims to outline effective strategies for achieving sustainability across supply chains, particularly in the manufacturing sector. In response to these challenges, this research has conducted an integrated multi-criteria decision-making approach to evaluate sustainable supply chain performance from the triple bottom line perspective, including financial, environmental, and social performance.

The initial stage involves selecting the crucial criteria (short-term and long-term) and alternatives for sustainable supply chain performance (SSCP) from experts and conducting an in-depth literature review. Initially, there were 17 criteria, but after a pilot test with co-authors and online discussions with experts, the number of criteria was subsequently reduced to 9. In the second phase, the Best-Worst Method (BWM) was applied to rank and prioritize the criteria. The third and final stage examined the causal relationship between the identified criteria, utilizing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique.

Based on BWM analysis results, the top three criteria in terms of prominence are: (1) return on investment (ROI), (2) product quality, and (3) manufacturing lead time. Out of the three alternatives, financial performance (FP) is the most crucial dimension for SSCP, followed by environmental performance (ENP) and social performance (SP). On the other hand, the DEMATEL approach showed that work health and safety (short-term criterion), asset utilization (long-term criterion), energy consumption (long-term criterion), waste disposal (long-term criterion), manufacturing lead time (short-term criterion), and on-time delivery (short-term criterion) are categorized within the cause group, while criteria such as return on investment (ROI) (long-term criterion), customer-service level (short-term criterion), and product quality (long-term criterion) fall into the effect group.

The proposed study has certain drawbacks that pave the way for future research directions. First, it is worth noting the need for a larger sample size to ensure the reliability of results, the potential inclusion of additional criteria to enhance the assessment of sustainability performance, and the consideration of a qualitative approach to gain deeper insights into the outcomes. In addition, fuzziness in qualitative subjective perception could be imperative when collecting data to ensure its reliability, as translating experts’ perceptions into exact numerical values can be challenging because human perceptions often carry elements of uncertainty or vagueness. Therefore, fuzzy integrated MCDM frameworks are better suited for future research to handle the uncertainties involved in human perceptions, making it a more appropriate approach for decision-making in scenarios where traditional MCDM methods may prove insufficient.

The proposed framework will enable decision-makers to gain deeper insights into how various decision criteria impact SSCP, thus providing a comprehensive evaluation of SSCP that considers multiple dimensions, such as financial, environmental, and social performance within the manufacturing sector.

The proposed study is the first empirical study to integrate both BWM and DEMATEL approaches to evaluate sustainable supply chain performance in the manufacturing context.

The study examined a wide range of proactive supply chain practices to demonstrate a cross-linkage among them and to understand their effects on both practitioners of previous decision-making models, frameworks, strategies and policies. Here, six supply chain practices are empirically evaluated based on 28 constructs to investigate a comprehensive model and confirm the connections for achieving performance and competence. The study presents a conceptual model and examines the influence of many crucial factors, i.e. supply chain collaboration, knowledge, information sharing, green human resources (GHR) management and lean-green (LG) practices on supply chain performance.

Structural equation modeling (SEM) examines the conceptual model and allied relationship. A sample of 175 respondents' data was collected to test the hypothesized relations. A resource based view (RBV) was adopted, and the questionnaires-based survey was conducted on the Indian supply chain professionals to explore the effect of LG and green human resource management (GHRM) practices on supply chain performance.

The study presented five constructs for supply chain capabilities (SCCA), five constructs for supply chain collaboration and integration (SCIN), four constructs for supply chain knowledge and information sharing (SCKI), five constructs for GHR, five constructs for LG practices (LGPR) and four constructs for lean-green SCM (LG-SCM) firm performance to be utilized for validation by the specific industry, company size and operational boundaries for attaining sustainability. The outcome emphasizes that SCCA positively influence GHRM, LG practices and LG supply chain firm performance. However, LG practices do not influence LG-SCM firm performance, particularly in India.

The study exploited multiple practices in a conceptual model to provide a widespread understanding of decision-making to assist in developing a holistic approach based on different practices for attaining organizational sustainability. The study stimulates the cross-pollination of ideas between many supply chain practices to better understand SCCA, SCIN, SCKI, GHRM and LG-SCM under a single roof for retaining organization performance.

The present study aims to identify the critical barriers of blockchain technology (BT) implementation in a manufacturing environment in context of developing countries.

In the present work, barriers of BT adoption have been investigated via literature review and screened them through expert’s input. Further, the interrelationships among screened barriers were framed using a modified total interpretive structural modelling (mTISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) approach. The mTISM aims to develop a contextual relationship-based performance model with the logic behind transitive links formation to explore the dominant barriers. The MICMAC approach categorizes the blockchain adoption barriers based on their driving and dependence power.

Based on the analysis, nine barriers of BT adoption in manufacturing environment were identified and finalized through statistically. The obtained results exhibit that lack of awareness about blockchain and poor training/human expertise on innovative technologies are the most critical barriers that hinder blockchain adoption. This study provides a roadmap and may facilitate manufacturing professional, consultant, governing bodies and policymakers in the preparation of active strategies to overcome challenges in adoption of BT in the running system.

Literature is full with analysis of barriers of BT adoption in the domain of supply chain, operation management and manufacturing in context of developed nation only. The present work is the first attempt to examine the BT adoption barriers in the manufacturing environment of developing economy and covered the mutual-interrelationship among them via modified TISM approach.

The present paper offers a literature review on the application of institutional theory in the context of small and medium-sized enterprises (SMEs). The study aims to synthesize existing research on how institutional factors, both formal and informal, shape the strategic behaviors of SMEs through the lens of new institutionalism and its three strands – rational-action neoinstitutionalism (RAN), social-constructionist neoinstitutionalism (SCN) and mediated-conflict neoinstitutionalism (MCN). It also identifies critical gaps and proposes avenues for future research.

Employing the B-SLR’s multi-method framework, this study integrates bibliometric analysis and a systematic literature review. The analysis examines 202 articles, categorizing them into four key research clusters related to the application of institutional theory to SMEs.

The literature on SMEs and institutional theory is framed around the following clusters: (1) institutional theory and innovation in SMEs, (2) institutional theory and the environmental sustainability of SMEs, (3) institutional theory and the internationalization of SMEs and (4) institutional theory and SME strategies in emerging markets.

This study represents the first literature review applying institutional theory to SMEs, offering a framework for understanding how institutional factors influence SME strategic decisions. The paper also identifies research gaps, proposing directions for future studies within each of the four clusters and contributes to bridging the fragmented research on SMEs and institutional theory.

Food waste among young consumers is a significant concern that threatens food sustainability due to consumption behaviour. This study has integrated the Theory of Interpersonal Behaviour to extend the Theory of Planned Behaviour to measure young consumer’s intention to reduce food waste in a developing country context. Bringing in emotion, habits, and facilitating conditions to predict the consumers' attitudes, this study assesses the intention to reduce food waste for corporate sustainability from the perspective of consumption.

Using a quantitative approach and purposive sampling, 205 samples were collected from the young generation aged 18 to 30, who frequently have meals at home. The PLS-SEM technique was employed to examine the hypothesised model.

The findings supported all the hypotheses mentioned where attitudes, subjective norms (SN) and perceived behavioural control (PBC) affect the intention to reduce food waste among young consumers. Furthermore, the other variables, namely, habits, emotions and facilitating conditions, also significantly impact the attitudes of the young generation.

Understanding young consumers' food waste behaviour is vital from the social, economic, and environmental perspectives. This study showcases a comprehensive food waste behaviour model among young consumers by integrating the Theory of Interpersonal Behaviour and the Theory of Planned Behaviour to examine the intention to minimise food waste. Practically, this study offers insights to business practitioners and communities in managing food waste from the young consumer perspective. Socially, this study supports the United Nations' (UN) Sustainable Development Goals (SDG) 12 by contributing to global food waste reduction efforts.

Sustainability is a major challenge for India’s (Bharat’s) coal mining industry. The government has prioritized sustainable growth in the coal mining industry. It is putting forth multifaceted economic, environmental and social efforts to accomplish the Sustainable Development Goals (SDGs). This research aims to identify the factors for sustainable improvements in coal mining operations. Secondly, this study examines the intensity of causal relations among the factors. Thirdly, this study examines whether causal relations exist among the factors to be considered for sustainable improvement in coal mining operations. Lastly, the study aims to understand how the factors ensure sustainable improvement in coal mining operations.

An integrated three-phase methodology was applied to identify the critical factors related to coal mining and explore the contextual relationships among the identified factors. Fifteen critical factors were selected based on the Delphi technique. Subsequently, the fifteen factors were analyzed to determine the contextual and causal relationships using the total interpretive structural modelling (TISM) and DEMATEL methods.

The study identified “Extraction of Coal and Overburden” as the leading factor for sustainable improvement in coal mining operations, because it directly or indirectly influences the overall mining operation, environmental impact and resource utilization. Hence, strict control measures are necessary in “Extraction of Coal and Overburden” to ensure sustainable coal mining. Conversely, “Health Impact” is the lagging factor as it has very low or no impact on the system. Therefore, it requires fewer control mechanisms. Nevertheless, control measures for the remaining factors must be decided on a priority basis.

The proposed structural model can serve as a framework for enhancing sustainability in India’s (Bharat’s) coal mining operations. This framework can also be applied to other developing nations with similar sustainability concerns, providing valuable guidance for sustainable operations.

The current study highlights the significance of logical links and dependencies between several parameters essential to coal mining sustainability. Furthermore, it leads to the development of a well-defined control sequence that identifies the causal linkages between numerous components needed to achieve real progress towards sustainability.