Search results

The purpose of the development of the paper is to construct probabilistic interval-valued hesitant fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model and to improve some preliminary aggregation operators such as probabilistic interval-valued hesitant fuzzy averaging (PIVHFA) operator, probabilistic interval-valued hesitant fuzzy geometric (PIVHFG) operator, probabilistic interval-valued hesitant fuzzy weighted averaging (PIVHFWA) operator, probabilistic interval-valued hesitant fuzzy ordered weighted averaging (PIVHFOWA) operator, probabilistic interval-valued hesitant fuzzy weighted geometric (PIVHFWG) operator and probabilistic interval-valued hesitant fuzzy ordered weighted geometric (PIVHFOWG) operator to cope with multicriteria group decision-making (MCGDM) problems in an efficient manner.

(1) To design probabilistic interval-valued hesitant fuzzy TOPSIS model. (2) To improve some of the existing aggregation operators. (3) To propose the Hamming distance, Euclidean distance, Hausdorff distance and generalized distance between probabilistic interval-valued hesitant fuzzy sets (PIVHFSs).

The results of the proposed model are discussed in comparison with the aggregation-based method from the related literature and found the effectiveness of the proposed model and improved aggregation operators.

A case study concerning the healthcare facilities in public hospital is addressed.

The notion of the proposed distance measure is used as rational tool to extend TOPSIS model for probabilistic interval-valued hesitant fuzzy setting.

This study aims to understand households’ adoption of small-scale solar energy to reduce carbon dioxide emissions that cause due to conventional energy consumptions.

This study is quantitative in nature and households were selected as unit of analysis. Online data has been collected from seven main cities of Pakistan to understand households’ intention to use small-scale solar energy for domestic consumption. A total of 370 valid data were analyzed through partial least square structural equation modeling.

The study findings reveal that publicity information, attitude green norm and perceived behavioral control are the strongest predictors of households’ intention to use small-scale solar energy.

The considered model practically contributes to the literature by understanding households’ intention to adopt solar technologies that are viable means to conserve conventional energy and preserve the environment through less emission of carbon dioxide. In addition to this, understanding the green norm of households is imperative in a developing country, Pakistan where climate risk is high. Understanding household’ green norms would help marketers and practitioners to design and introduce new and more efficient renewable technologies that maintain environmental sustainability.

This study has contributed to theory of planned behavior (TPB) by the inclusion of publicity information and green norms. Previous studies focused on the environmental benefits of using renewable energy sources. This study added novel antecedents into TPB that help to understand the adoption of small-scale solar energy for domestic consumption.

This paper aims to study the features of microstructures and mechanical properties of the joints which were produced by transient liquid phase method. The difference between phases in bonding region identified through metallography pictures and applying hardness and shear strength tests.

The bonding process was carried out at a temperature of 300°C for time durations ranging from 15 to 120 min. The scanning electron microscopy equipped with energy dispersive spectroscopy system and optical microscopy were used to examine microstructural characteristics, and mechanical properties of the joints were studied by applying microhardness and shear tests. The shear tests were conducted by a shear fixture which was mounted on the tensile machine.

The intermetallic compounds of the Cu₆Sn₅ −η and the Cu₃Sn-ε were formed simultaneously in the bonding interface. Although the η-phase, which exhibits scallop-shaped morphology, grows very quickly, upon completion of the isothermal solidification stage, it turns into the ε-phase. The hardness of the bonding interface is significantly higher than that of the substrate. The shear results show that once the bonding process is complete, brittle fracture occurs. Moreover, a greater decrease in strength was observed when the ε-phase is the only phase in the bonding region.

The hardness number of the η-phase is higher than that of the ε-phase. The hardness numbers of the η-phase and the ε-phase are 894 and 689 HV, respectively. The mean shear strength values of the samples that were bonded at 300 °C for 15, 60 and 120 min were 11.7, 9.5 and 5.4 MPa, respectively.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

This study examines the association between the use of strategic management accounting (SMA) practices and competitive advantage and the moderating role of four aspects of organisational culture – teamwork orientation, outcome orientation, innovation orientation and attention to detail orientation – on this association. Online survey data were collected from 408 accountants in Australian business organisations, and structural equation modelling (SEM) was used to analyse the data. The results indicate a positive association between the use of SMA practices and competitive advantage with such an association positively moderated by one cultural dimension, teamwork orientation. Specifically, the findings indicate that the positive effect of SMA practices on competitive advantage is dependent upon the fit between the use of SMA practices and teamwork orientation with more (less) teamwork-oriented organisations exhibiting a stronger (weaker) association between the use of SMA practices and competitive advantage.

This study aims to investigate how the management of supply chain information impacts the performance of the supply chain. This relationship is explored by considering the mediating influence of internal and external integration, which is underpinned by the principles of resource-based theory.

Data was collected from 144 supply chain professionals across different manufacturing companies. The proposed hypotheses were subjected to quantitative analysis using partial least squares structural equation modeling, and the validity of the measurement model was assessed with the assistance of SmartPLS software.

This study identified that information management (IM) significantly and positively affects internal integration (II), customer integration (CI) and supply chain performance (SCP). Similarly, the results showed that II significantly and positively affects SCP. Likewise, CI positively and significantly affected SCP. At the same time, II found a positive yet significant mediating role in the relationship between IM and SCP. CI was found to play a positive but insignificant mediating role in the relationship between IM and SCP.

This research evaluated a second-order model and tested the SCP in conjunction with the resource-based view in the manufacturing industry. This research could be beneficial for researchers, manufacturers and policymakers to attain organizational objectives by implementing an efficient IM system for better integration and SCP.

This research explores the spillovers and portfolio implications for green bonds and environmental, social and governance (ESG) assets in the context of the rapidly expanding trend in green finance investments and the need for a green recovery in the post-COVID-19 era.

This study utilizes Diebold and Yilmaz’s (2014) spillover method and portfolio strategies (hedge ratio, optimal weights and hedging effectiveness) for the data starting from February 29, 2012, to March 14, 2022.

The study’s findings reveal that the lower volatility spillover is evidenced between the green bonds and ESG stocks during tranquil and turbulent periods (e.g. COVID-19 and Russia-Ukraine War). Furthermore, hedging costs are lower both in normal times and during economic slumps. Investing the bulk of the funds in green bonds makes it possible to achieve maximum hedging effectiveness between the S&P green bond (GB) and the S&P 500 ESG.

Both investors and policymakers may use these findings to make wise investment and policy choices to achieve post-COVID environmental sustainability.

Unlike previous research, this is the first to explore the interconnectedness among the major global and country-specific green bonds and ESG assets. The major findings of this study about the lower volatility spillovers and hedging costs between green bonds and ESG assets during the tranquil and turbulent periods may contribute to the post-COVID investment portfolio for environmental sustainability.

Manufacturing capability is a crucial component of every nation’s economy and pharmaceuticals are frequently a significant part of the manufacturing sector. Pharmaceutical supply chains are essential to health-care systems, contributing to living quality and shorter hospital stays. This study aims to examine the role of multiple integrations on business performance (BP) through supply chain flexibility (SCF) and supply chain agility (SCA).

Data was collected from 198 supply chain professionals in the pharmaceutical sector of the developing economy of Pakistan. The sample was collected based on a nonprobability purposive sampling approach. A five-point Likert-scale survey was used and analyzed with the PLS-SEM technique using SmartPLS 4.

This study found that process integration (PI) does not affect SCA, whereas relationship integration and measurement integration positively affect SCA. SCA positively impacts BP. In contrast, all integrations significantly influenced supply flexibility and BP except for PI. Finally, SCF significantly mediates the relationship between all integrations and BP.

This study examined the relationships of multiple integrations on BP, directly and indirectly, through SCF and agility. The theory of dynamic capabilities has been applied and extended to increase the comprehensiveness of the findings. A developing economy’s pharmaceutical industry supply chain was examined, producing empirical evidence of the results.

The purpose of this study is to review the empirical studies that have focused on the adoption, benefits and contingencies of strategic management accounting (SMA) practices and the effects of adoption on firm performance.

The study has highlighted empirical studies conducted on SMA practices in the context of both developed [1] and developing economies. In reviewing the literature, the study focuses on the findings of developed economy separately from that of developing economy to get more insight into the differences in the practices of the two set of economies. Based on the review, avenues for future research studies are outlined.

The review of extant literature reveals that several SMA techniques such as competitor accounting, strategic pricing, benchmarking and customer accounting have been highly or moderately adopted in several developed countries while majority of other techniques remained at the bottom line of the adoption status. However, the review demonstrates substantial differences in the SMA practices between the two set of economies in terms of the level of adoption, contingent factors and the effects of adoption.

The study attempts to focus on empirical studies that have concentrated exclusively on SMA practices. The adoption status, benefits derived, contingent factors affecting the adoption decision and the effect of adopting a package of SMA techniques on several aspects of firm performance are presented in the context of both developed and developing economies.

Supply chain collaboration (SCC) benefits organizational performance (OP). Although it is complex, it is also hard to implement and measure collaborative initiatives in the field of the supply chain. This study aims to examine the role of information technology (IT) and people’s involvement in OP through the mediation of supply chain collaboration.

This study used a deductive and quantitative approach to test the research hypotheses. Data was collected from 249 supply chain professionals working at various manufacturing firms.

This research found a significant effect of IT on supply chain collaboration. Similarly, people involvement (PI) also significantly influenced the supply chain collaboration. For the mediation hypotheses, SCC significantly mediates the relationships between two independent variables (IT and PI) and OP. Furthermore, the full mediation of SCC occurred.

This study provides a framework emphasizing manufacturing firms’ practices, SCC and OP. The “people involvement” was found as a novel variable in the tested model using the resource-based view as a supporting theory. The research findings can benefit the professionals working on supply chain business processes to improve OP.