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This paper aims to investigate the relationship between total quality management (TQM) and the innovation performance of small and medium enterprises (SMEs) through empirical testing. It also seeks to determine whether the relationship between TQM and SMEs’ innovation is mediated by organizational culture (OC).

Data from managers/owners of food SMEs in the West Bank regions of Palestine were collected through a questionnaire that was assessed for validity and reliability. A structural equation model (SEM) was constructed using Smart PLS 3.9.2 to investigate the relationships.

The statistical results contribute to the existing literature by demonstrating a direct and positive relationship between TQM and OC where both have a positive and significant impact on innovation in food SMEs. Additionally, the study found that there is a significant and positive indirect impact of TQM on innovation in food SMEs, which is mediated by OC.

The study's results offer valuable insights to food SMEs' managers/owners in the current dynamic manufacturing landscape, with a focus on using TQM as a means of enhancing their innovation. The findings can provide guidance to food SMEs by highlighting the significance of OC, as it impacts the effective implementation of TQM and subsequently leads to an improvement in innovation levels.

This study enhances the existing literature on TQM by providing an in-depth understanding of TQM as perceived by food SMEs in Palestine. It addresses the gap in empirical research on the combined impact of TQM and OC on innovations in food SMEs. The study contributes to the theoretical framework and has significant managerial implications, providing recommendations for future research.

This purpose of this study was to assess dietary diversity among women of reproductive age (WRA) and the associations between consumption of a diversified diet and overweight/obesity statuses in Ekiti State, Nigeria.

Cross-sectional study of 207 WRA from six local government areas in Ekiti State, Nigeria, was done. A validated interviewer-administered questionnaire was used to collect data on sociodemographic characteristics, dietary intake and anthropometry. Dietary intake was assessed with 24-h dietary recall to calculate the Minimum Dietary Diversity Score for Women (MDD-W). Data were analyzed using descriptive statistics, Spearman rank correlation and Chi square test at α_0.05.

Majority of the participants (65.2%) were aged between 19 and 34 years, 58.5% were married and 49.8% had high school as their highest level of education. Mean MDD-W and body mass index (BMI) were 3.8 ± 0.9 and 25.46 ± 6.4 kg/m², respectively. All participants (100%) consumed foods from the “grains, white roots and tubers” group and majority also from the “meat and poultry” group (79.7%) but ranked low in the consumption of foods from other food groups. Many were overweight (34.8%), obese (14.0%) and a few (1.9%) had morbid obesity. MDD-W was significantly associated with marital status (X² = 7.7, P = 0.022) and BMI (X² = 11.4, P = 0.023) and had a weak positive correlation with BMI (r = 0.189, P = 0.007).

Study shows that both undernutrition and overweight/obesity coexist in the population, indicating a case of double burden of malnutrition (DBM) at a population level. However, further studies may be needed to investigate the extent of DBM at individual levels. Although there was a positive correlation between MDD-W and BMI, it cannot be used to predict causality. Study further reveals that the micronutrient intake of the WRA population in Ekiti is inadequate. Considering the importance of the 10 food groups highlighted in MDD_W to nutrition and health, the promotion of the consumption of foods from these food groups with more attention to the micronutrient-rich ones needs to be heightened.

Diet of participants was not diverse enough, indicating micronutrient inadequacy. Promotion of the consumption of a diverse diet, particularly from the food groups rich in micronutrient, needs to be heightened, while food groups high in calorie should be minimally consumed to forestall DBM.

The purpose of this paper is to examine the mechanical characteristics and optimization of wear parameters of hybrid (TiO₂ + Y₂O₃) nanoparticles with Al matrix using squeeze casting technique.

The hybrid aluminium matrix nanocomposites (HAMNCs) were fabricated with varying concentrations of titanium oxide (TiO₂) and yttrium oxide (Y₂O₃), from 2.5 to 10 Wt.% in 2.5 Wt.% increments. Dry sliding wear test variables were optimized using the Taguchi method.

The introduction of hybrid nanoparticles in the aluminium (Al) matrix was evenly distributed in contrast to the base matrix. HAMNC6 (5 Wt.% TiO₂ + 5 Wt.% Y₂O₃) reported the maximum enhancement in mechanical properties (tensile strength, flexural strength, impact strength and density) and decrease in porosity% and elongation% among other HAMNCs. The results showed that the optimal combination of parameters to achieve the lowest wear rate was A3B3C1, or 15 N load, 1.5 m/s sliding velocity and 200 m sliding distance. The sliding distance showed the greatest effect on the dry sliding wear rate of HAMNC6 followed by applied load and sliding velocity. The fractured surfaces of the tensile sample showed traces of cracking as well as substantial craters with fine dimples and the wear worn surfaces were caused by abrasion, cracks and delamination of HAMNC6.

Squeeze-cast Al-reinforced hybrid (TiO₂+Y₂O₃) nanoparticles have been investigated for their impact on mechanical properties and optimization of wear parameters.

The food supply chain has faced many challenges due to its complex and complicated nature. Blockchain technology is one of the mechanisms used to improve agri-food supply chain processes by evolving organization capabilities. A study is being conducted to scrutinize the adoption of blockchain technology in the agri-food supply chain through the lens of the operational capability approach. It further makes an attempt to identify the capabilities of blockchain to improve supply chain processes.

The qualitative research method with semi-structured interviews was used to gather information from experts and professionals in the food supply chain and blockchain technology. The authors have adopted a systematic approach of coding using open, axial and selective methods to depict and identify the themes that represent the blockchain-enabled agri-food supply chain. The data were collected from 32 interviews of selected participants.

The result shows five critical areas where blockchain can come up to enhance the agri-food supply chain performance by providing traceability, transparency, information security, transactions, and trust and quality. Further, the study reveals that blockchain will provide safety, lower the cost of transactions and can create trust among users to communicate within the whole supply chain without the intervention of a third party. This study demonstrated that the capabilities need to be considered when introducing technology into the practice.

The study implies thought-provoking implications for bridging the theory-practice gap by examining the empirical data to demonstrate how the operational capabilities of blockchain technology further strengthen the agri-food supply chain. Additionally, this study provides some suggestions for utilizing the results and proposes a framework to understand more about blockchain use cases in the agri-food supply chain as well as extend the application of blockchain using an operational capability approach for future academic researchers in this area.

This study presented some more important managerial implications which reveal that the majority of organisations were in the initial stages of adoption process of blockchain technology. Further, the positive influence of managers and IT experts can help the information technology companies (IT) and stakeholders for developing and promoting blockchain solutions in the agri-food supply chain. The important implication of blockchain enabled agri-food supply chain is to maintain information security and incresae supply chain performance.

The study shows the operational capabilities of agri-food supply chain using blockchain technology. Blockchain can contribute in enhancing the agri-food supply chain to increase traceability and transparency and helps to reduce the risk of disruptions.

This paper aims to employ the use of focus groups composed of enforcement officers to explore and identify the financial methods used by terrorism-related organisations in Malaysia.

The study used an open-ended question and focus group methods to gather information from 20 Malaysian enforcement officers with extensive experience in dealing with terrorism-related activities, as they strive to prevent and counter terrorism incidents. In addition, experienced practitioners and field experts also contributed to the study.

The study reveals various innovative financial methods used by terrorist-linked organisations to evade detection by local enforcement agencies. These findings are consistent with previous research, which highlights the intelligence of these organisations in avoiding detection by financial regulators.

The findings are based on the perspectives of enforcement officers involved in preventing and countering terrorism activities. Further research could be conducted to gather insights from other government agencies, such as the judiciary or local agencies.

The study offers practical suggestions for organisations and institutions on effectively monitoring and taking appropriate actions in financial activities related to terrorism.

This study provides unique insights into the financial methods of terrorism-related organisations in an emerging country in Southeast Asia. Its findings can be applied throughout the region, given the country’s global connectivity. Furthermore, the study is distinctive in that it provides information from enforcement officers within terrorism-related government organisations, an area where resources are limited. The study also considers the impact of the pandemic on the development of these financial innovations by terrorist organisations.

This study aims to determine the order of importance of blockchain technology gains for foreign trade management. The second aim of the research is to select the most suitable blockchain type for the foreign trade process.

The data required for the research analysis were collected through comparison matrices scored by foreign trade experts. The data were analyzed with the analytical hierarchy process method, and the gains of blockchain technology for the foreign trade process were prioritized. Finally, the most suitable type of blockchain technology was selected with the PROMETHEE method.

As a result of the study, subject matter experts perceived that the most critical blockchain gain for the foreign trade process would be cost savings. In addition, it has been observed that the general trade process differs compared to the logistics and payment processes. Finally, open blockchain was the most suitable blockchain type for foreign trade processes.

In this study, the positive gains of blockchain technology are considered. In future studies, it is recommended to consider the existing negative factors to be able to use blockchain technology in foreign trade processes. In addition, it is suggested to conduct a study by dividing foreign trade into two, import and export.

All stakeholders who want to integrate blockchain technology into their foreign trade processes, including foreign trade companies, software developers, policymakers and international institutions, can benefit from the results of this study. A blockchain technology software created for foreign trade management can be shaped according to the results of this study.

Although the gains that blockchain technology provides to foreign trade processes are frequently emphasized in the literature, which gain would be greater has not been examined. The lack of an answer to the issue of how blockchain technology should be designed for foreign trade processes has been the missing part of the relevant literature. To the best of the authors’ knowledge, this study is the first experimental study in the literature that prioritizes blockchain gains and selects the appropriate blockchain type for foreign trade processes.

Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.

After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.

This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.

The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.

The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.

Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.

We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.