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Businesses are increasingly vulnerable and exposed to physical climate change risks, which can cascade through local, national and international supply chains. Currently, few methodologies can capture how physical risks impact businesses via the supply chains, yet outside the business literature, methodologies such as sustainability assessments can assess cascading impacts.

Adopting a scoping review framework by Arksey and O'Malley (2005) and the PRISMA extension for scoping reviews (PRISMA-ScR), this paper reviews 27 articles that assess climate risk in supply chains.

The literature on supply chain risks of climate change using quantitative techniques is limited. Our review confirms that no research adopts sustainability assessment methods to assess climate risk at a business-level.

Alongside the need to quantify physical risks to businesses is the growing awareness that climate change impacts traverse global supply chains. We review the state of the literature on methodological approaches and identify the opportunities for researchers to use sustainability assessment methods to assess climate risk in the supply chains of an individual business.

This study was conducted to analyze the effects of machining parameters on the specific energy consumption in the computerized numerical control lathe turning operation of a hardened alloy steel roll at low cutting speeds. The aim was to minimize its consumption.

The design matrix was based on three variable factors at three levels. Response surface methodology was used for the analysis of experimental results. Optimization was carried out by using the desirability function and genetic algorithm. A multiple regression model was used for relationship build-up.

According to desirability function, genetic algorithm and multiple regression analysis, optimal machining parameters were cutting speed 40 m/min, feed 0.2 mm/rev and depth of cut 0.50 mm, which resulted in minimal specific energy consumption of 0.78, 0.772 and 0.78 kJ/mm³, respectively. Correlation analysis and multiple regression model found a quadratic relationship between specific energy consumption with power consumption and material removal rate.

In the past, many researchers have developed mathematical models for specific energy consumption, but these models were developed at high cutting speed, and a majority of the models were based on the material removal rate as the independent variable. This research work developed a mathematical model based on the machining parameters as an independent variable at low cutting speeds, for a new type of large-sized hardened alloy steel roll. A multiple regression model was developed to build a quadratic relationship of specific energy consumption with power consumption and material removal rate. This work has a practical application in hot rolling industry.

Although previous studies have examined the influence of celebrity involvement in behavioural intentions, the role of celebrity dimensions such as attraction, self-expression and centrality in influencing tourists’ intention in the context of developing countries such as Tanzania remains largely unaddressed. This study, therefore, examined the relationship between celebrity involvement and domestic tourists' intentions to visit tourist attractions, attitude being the mediating variable.

A questionnaire was self-administered on a convenient sample of 279 domestic tourists in the Tanzania’s four largest regions, namely, Dar es Salaam, Mbeya, Arusha and Mwanza. Employing a quantitative research approach, structural equation modelling was performed to test the cause-and-effect relationships between celebrity involvement and tourists’ intentions before testing the mediating role of attitude in such a relationship. Confirmatory factor analysis was also performed to test the measurement models.

Attraction emerged to be the main determinant of the celebrity dimension that significantly influenced domestic tourists’ travel intentions, whereas attitude partially mediates such a relationship. Moreover, Bongo Fleva musicians, particularly Diamond Platnumz, one of the leading celebrities in this genre, were found to influence most of the respondents’ travel intentions – he posted a picture on his Instagram account of him touring the Serengeti National Park.

The study focused on domestic tourists residing in four of the Mainland Tanzania’s largest regions, hence excluding those residing on the islands of Unguja and Pemba. Due to cultural differences, including the islands not only could unleash new perspectives on celebrity involvement dimensions but also could have introduced new determinants of travel intentions.

This study offers guidance to tourism businesses on designing their marketing campaigns that they should harness celebrity’s attractive qualities effectively. The focus should be directed not only towards linking destinations with celebrities but also on stimulating positive perception of those destinations, aligning with the attitudes of their followers.

The study has set out a new perspective for researchers, practitioners and tourism businesses to refine their promotional strategies and for academicians to gain a deeper understanding of visitor behavioural intention dynamics.

This study has proposed and verified that attraction is a dominant determinant compared to self-expression and centrality in explaining tourists’ travel intentions and attitudes, which play a significant role in explaining such a relationship. Although the study employed a modified theory of planned behaviour in a celebrity involvement study, the findings have broadened the understanding and its applicability in the context of a developing country.

This study aims to elucidate the machining properties of low-cost expanded clay-reinforced syntactic foams by using different neural network models for the first time in the literature. The main goal of this endeavor is to create a casting machining-neural network modeling flow-line for real-time foam manufacturing in the industry.

Samples were manufactured via an industry-based die-casting technology. For the slot milling tests performed with different cutting speeds, depth of cut and lubrication conditions, a 3-axis computer numerical control (CNC) machine was used and the force data were collected through a digital dynamometer. These signals were used as input parameters in neural network modelings.

Among the algorithms, the scaled-conjugated-gradient (SCG) methodology was the weakest average results, whereas the Levenberg–Marquard (LM) approach was highly successful in foreseeing the cutting forces. As for the input variables, an increase in the depth of cut entailed the cutting forces, and this circumstance was more obvious at the higher cutting speeds.

The effect of milling parameters on the cutting forces of low-cost clay-filled metallic syntactics was examined, and the correct detection of these impacts is considerably prominent in this paper. On the other side, tool life and wear analyses can be studied in future investigations.

It was indicated that the milling forces of the clay-added AA7075 syntactic foams, depending on the cutting parameters, can be anticipated through artificial neural network modeling.

It is hoped that analyzing the influence of the cutting parameters using neural network models on the slot milling forces of metallic syntactic foams (MSFs) will be notably useful for research and development (R&D) researchers and design engineers.

This work is the first investigation that focuses on the estimation of slot milling forces of the expanded clay-added AA7075 syntactic foams by using different artificial neural network modeling approaches.

Abusive supervision (AS) provides insights into the darker aspects of leadership behavior and its effects on employees. Understanding and addressing AS can contribute to creating healthier work environments and promoting employee well-being. The effect of abusive leadership (AS) on counterproductive work behaviors (CWB) in nursing staff is examined through the theoretical lens of the social exchange theory.

Data were collected from 302 nursing staff working at public and private hospitals through a self-administered questionnaire. Measurement scales were adapted from the literature and the data were tested for validity and reliability before performing hypotheses testing through structural equation modeling in SmartPLS 4.0.

AS positively affects CWB, and psychological contract breach mediates this relationship. However, employees with high Islamic work ethics (IWE) are less concerned with supervisors' dysfunctional behaviors and pay less attention to them; thus, IWE buffers the effect of AS on CWBs.

A positive and supportive organizational climate is crucial for attracting and retaining skilled healthcare professionals. When healthcare professionals are subjected to abusive behaviors, their ability to share knowledge, adopt safety protocols and provide the best patient care may be hampered. Therefore, addressing AS in hospitals is vital to promoting a positive work environment, enhancing employee well-being and improving patient care.

This study examines the impact of financial inclusion on the corporate sustainability of banks in both Organization of Islamic Cooperation (OIC) and non-OIC emerging economies, considering the COVID-19 pandemic.

The research utilizes data from 3,159 bank-years from 2007 to 2021 across 33 emerging markets.

Empirical findings indicate that firms operating in higher financial inclusion developing countries tend to exhibit higher levels of sustainable development. This positive relationship has become even more pronounced during the COVID-19 pandemic, suggesting the importance of financial inclusion in fostering corporate sustainability, especially in times of economic challenges. Interestingly, while the positive correlation between financial inclusion and sustainable development remains consistent across both OIC and non-OIC countries, firms in OIC countries do not show significant changes during the pandemic.

This observation suggests that the pandemic’s impact on corporate sustainability may vary between the two groups of countries. This study highlights the significance of financial inclusion in promoting corporate sustainability in developing economies. In times of recessions when accessing finance becomes expensive, policymakers in OIC countries should identify firms that adhere to Islamic principles, such as those sensitive to interest rates, and provide them with targeted support. This assistance can enable these companies to compete effectively and achieve their financial sustainability objectives.

There has been no attempt to investigate the effect of financial inclusion and the pandemic on the sustainable development of banks in developing countries.

This study probed the impact of using learning technologies (LT) on developing Yemeni English as a foreign language (EFL) students' autonomy and creativity toward English language learning. Also, the research gauged if LT impacts learners' autonomy and creativity across gender and university-type variables.

The study utilized a valid and reliable questionnaire, comprising 20 close-ended items, which was administered to 109 Yemeni EFL undergraduate students.

The researchers found that LT positively impacts learners' creativity and autonomy, with mean scores of 4.09 and 3.86, respectively. Furthermore, the results showed a medium correlation between creativity and autonomy with a correlation coefficient of r = 0.63 at a probability of Sig = 0.00. Likewise, the results revealed that LT impacted female learners' creativity more significantly than their male counterparts (Sig = 0.047). Nevertheless, no significant differences were found pertaining to the impact of LT on students' autonomy across public and private universities (Sig = 0.213).

EFL teachers are advised to encourage their students' autonomy and creativity throughout their lifelong learning journey in order to adapt to the ever-changing demands of the world.

This study investigates the impact of learning technology on Yemeni EFL students' autonomy and creativity.

This paper aims to investigate the effect of gamified e-service quality (GE-SQ) on customer value co-creation, relationship quality and purchase intention in e-retailing.

A questionnaire was used to collect data from a sample of 549 e-retailing customers who participated in a gamified online service process. A structural equation modeling approach was adopted to analyze the model.

The empirical evidence confirmed that GE-SQ encouraged customer value co-creation behavior and relationship quality. Customer value co-creation and relationship quality led to higher purchase intention. Also, value co-creation and relationship quality partially mediated the relationship between GE-SQ and purchase intention.

The findings increase our knowledge of GE-SQ and its behavioral consequences. Moreover, the study proposes and validates a theoretical framework based on GE-SQ, value co-creation and customer relationship quality. This study provides insight into using gamification as a practical tool in the e-retailing industry.

This study aims to investigate the connections between the adoption of technology, user experience (UX), financial transparency and accountability, specifically focusing on the moderating influence of cultural sensitivity in the Jordanian context.

This study gathered data from 272 participants who are working in the operational Islamic banks in Jordan. Partial least squares structural equation modeling (PLS-SEM) is used for the hypotheses testing.

The results indicate that cultural sensitivity plays a significant role in shaping the UX, consequently influencing perceptions of financial transparency and accountability in e-Islamic finance within the metaverse. This study underscores the intricate interplay between technological advancements, adherence to Sharia principles and diverse cultural expectations, forming the crux of the research.

This research brings a novel perspective by examining the complex connections among technology adoption, UX, financial transparency and accountability, specifically within the distinctive context of Jordan. This research study innovates by checking out how social sensitivity moderates these partnerships, specifically in the context of e-Islamic finance in the metaverse. It adds value to the academic area by shedding light on the intricate interaction between technological development, adherence to Sharia concepts and differing cultural expectations. Ultimately, this adds to a much deeper understanding of the multifaceted nature of this domain.

Industry 4.0 or I4.0 has transformed the manufacturing landscape by integrating social and technical factors by means of the sociotechnical framework. However, the sociotechnical aspects of digitalization of total quality management (TQM 4.0), especially in small and medium enterprises (SMEs) remain largely unexplored. This groundbreaking research endeavors to delve into the pivotal role played by social (soft) and technical (hard) TQM 4.0 in driving I4.0 readiness among SMEs.

A research framework has been developed by harnessing the principles of Socio-technical systems (STS) theory. Data collection from a sample of 310 randomly selected SMEs manufacturing in Malaysia through an online survey approach. The collected data is then subjected to analysis using Partial Least Square-Structural Equation Modeling (PLS-SEM) through SmartPLS.

The study findings indicate that both hard and soft TQM 4.0 factors are vital to promoting I4.0 readiness (R² = 0.677) and actual implementation (R² = 0.216). Surprisingly, the findings highlight that customer-related construct has no impact on hard TQM 4.0 attributes. Furthermore, hard TQM 4.0 factors have played a partial mediating role on the relationship of soft TQM 4.0 and I4.0 attributes (20% = VAF = 80%).

This is a novel research as it explores the underexplored domain of sociotechnical aspects of TQM 4.0 within SMEs amid I4.0 transformation. The study distinctive contributes include revealing the pivotal role of both soft and hard TQM 4.0 factors in driving I4.0 readiness, emphasizing the primacy of people-related dimensions for successful implementation in manufacturing SMEs.