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The goal of this study is to propose and test a model of the effect of the socio-cultural context on the disability inclusion climate of organizations. The model has implications of hiring people with disabilities.

To test the model, we conducted a cross-sectional study across four countries with very different socio-cultural contexts. Data were gathered from 266 managers with hiring responsibilities in Canada, China, Norway and France. Participants responded to an online survey that measured the effect of societal based variables on the disability inclusion climate of organizations.

Results indicated support for the theoretical model, which proposed that the socio-cultural context influenced the disability inclusion climate of organizations through two distinct but related paths; manager’s value orientations and their perception of the legitimacy of legislation regarding people with disabilities.

The vast majority of research regarding employment of people with disabilities has focused on supply side factors that involve characteristics of the people with disabilities. In contrast, this research focuses on the less researched demand side issue of the socio-cultural context. In addition, it responds to the “limited systematic research examining and comparing how country-related factors shape the treatment of persons with disability” (Beatty et al., 2019, p. 122).

This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.

This study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.

This study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.

The proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.

Using the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.

Since the outbreak of the COVID-19 pandemic, the demand for online services has risen, with e-payment emerging as a prominent option for customers seeking faster and more convenient transactions to complete their online purchases. Nevertheless, e-payment adoption in Egypt remains a challenge that requires further investigation. Thus, this study aims to investigate the factors influencing online customers’ attitudes and intentions towards adopting e-payment for online transactions, social influence, perceived ease of use, perceived usefulness, perceived trust, structural assurance and perceived privacy/security risk.

The data were gathered from 302 customers in Egypt and structurally analysed based on partial least squares structural equation modelling (PLS-SEM).

The findings revealed that social influence, perceived usefulness and perceived trust are significant antecedents of attitude. Furthermore, perceived usefulness, perceived trust, perceived privacy/security risk and attitude directly influence behavioural intention. Structural assurance and perceived trust directly influence perceived privacy/security risk. Moreover, perceived usefulness, perceived trust and attitude were found to have several mediating roles.

This study adds new empirical evidence from a developing country regarding the adoption of e-payment among online customers. In addition, its findings can help the government, practitioners and policymakers understand how to promote customers’ positive attitudes and encourage their intentions towards using e-payment.

The findings of this study can contribute to the digital transformation strategy in Egypt by providing insights into enhancing online shoppers’ attitudes and intentions towards e-payment adoption. This, in turn, can boost Egyptian e-commerce and the country's digital economy as a whole.

Due to the intense rivalry in the smartphone market, manufacturers of mobile phones are becoming increasingly interested in knowing the factors that influence consumers' purchase intention. This paper aims to examine the effect of country-of-origin image, brand image and attitude towards the brand on the purchase intention of smartphone users.

An empirical study was performed based on the information gathered from smartphone users. The structural equation modeling (SEM) technique was applied to examine the hypotheses.

The authors found that brand image and attitude towards the brand significantly influence consumer purchase intention. Additionally, there is an indirect effect even when the nation of origin image does not directly influence the consumer's purchase intention. Indeed, brand image and attitude towards the brand act as a mediator between the country-of-origin image and purchase intention.

This study presents a conceptual model on the impact of country-of-origin image on the propensity of consumers to buy smartphones in a field where little research has been done. The investigation offers a consumer-focused analysis regarding the country-of-origin image. This suggests a significant shift from the current strategy, which is frequently centered on the viewpoint of the companies.

The overarching objective of this paper is to examine the cause–effect relationships among building and information modeling (BIM)-related risk factors and their impact on the implementation of BIM in construction projects.

This paper draws on previous research to identify and categorize BIM-related risk factors. It then develops a system dynamics (SD) model to examine the cause–effect relationships among these factors leading to issues in BIM implementation.

The proposed SD model illustrates how nine reinforcing feedback loops provide connections between four categories of risks, namely, technical, information, legal and organizational risks and, consequently, create vicious cycles that threaten the successful implementation of BIM.

This paper is among a few studies that depart from reductionism by taking a holistic approach and demonstrating how the interactions between BIM-related risk factors lead to vicious cycles that threaten the successful implementation of BIM.

Despite the present focus on improving the resilience of homes to flooding in UK flood risk management policy and strategy, a general measurement framework for determining levels of flood resilience in UK homes does not exist. In light of this, the aim of this study was to develop a means to evaluate the levels of resilience in flood-prone homes from the perspective of homeowners'.

A quantitative research methodology was employed, with empirical data obtained through a postal survey of homeowners who had experienced flooding. The responses received were then analysed using a combination of statistical techniques including agreement/reliability tests and multiple regression to develop a model of flood resilience.

A predictive model was developed that allows the resilience of a property to be quantified and measured as perceived by homeowners. The findings indicate that the main factors found to influence the level of flood resilience were: property type (PT), presence of cellar/basement (C/B), property wall type (PWT), property ground floor type (PGFT), kitchen unit type (KU), flood experience (FE), flood source (FS) and flood risk level (FRL).

The resulting model provides unique insights into resilience levels to the benefit of a range of stakeholders including policy makers (such as Defra/Environment Agency), Local Authority flood teams, property professionals, housing associations and homeowners. As a result, homeowners will be in a better position to determine which interventions should be prioritised to ensure better flood protection.

This is the first study of its kind to have rigorously quantified the level of flood resilience for individual homes. This study has quantified the effectiveness of individual resilience measures to derive the first reliable means to measure the overall levels of resilience at the individual property level. This is regarded as a significant contribution to the study of flood risk management through the quantification of resilience within individual UK homes, enabling the prioritisation of interventions and the overall monitoring of resilience.

This study aims to explore the use of a double diamond design method to engage the industry in a sector-wide response to the issues of food waste as constructed by consumers. This particular design method is achieved by an exploration of a collective intelligence-participatory design (CIPD) project to engage industry participants in understanding and responding to consumers’ perceptions of the role of packaging in reducing food waste.

Using the UK Design Council’s double diamond design method as a guiding conceptual principle, the project recruited industry participants from medium to large food businesses across various food categories. Two scoping workshops with industry were held prior to the initiation of a 12-stage project (n = 57), and then two industry workshops were held (n = 4 and 14). Eighty participants completed an online qualitative survey, and 23 industry participants took part in a Think Tank Sprint Series. The Think Tanks used participatory design approaches to understand barriers and opportunities for change within food industry sub-sectors and test the feasibility and acceptability of package designs to reduce consumer waste.

For CIPD to work for complex problems involving industry, it is vital that stakeholders across macro- and micro-subsystems are involved and that adequate time is allowed to address that complexity. Using both the right tools for engagement and the involvement of the right mix of representatives across various sectors of industry is critical to reducing blame shift. The process of divergence and convergence allowed clear insight into the long-term multi-pronged approach needed for the complex problem.

Participatory design has been useful within various behaviour change settings. This paper has demonstrated the application of the double diamond model in a social marketing setting, adding value to an industry-wide project that included government, peak bodies, manufacturing and production and retailers.

Higher energy conversion efficiency of internal combustion engine can be achieved with optimal control of unsteady in-cylinder flow fields inside a direct-injection (DI) engine. However, it remains a daunting task to predict the nonlinear and transient in-cylinder flow motion because they are highly complex which change both in space and time. Recently, machine learning methods have demonstrated great promises to infer relatively simple temporal flow field development. This paper aims to feature a physics-guided machine learning approach to realize high accuracy and generalization prediction for complex swirl-induced flow field motions.

To achieve high-fidelity time-series prediction of unsteady engine flow fields, this work features an automated machine learning framework with the following objectives: (1) The spatiotemporal physical constraint of the flow field structure is transferred to machine learning structure. (2) The ML inputs and targets are efficiently designed that ensure high model convergence with limited sets of experiments. (3) The prediction results are optimized by ensemble learning mechanism within the automated machine learning framework.

The proposed data-driven framework is proven effective in different time periods and different extent of unsteadiness of the flow dynamics, and the predicted flow fields are highly similar to the target field under various complex flow patterns. Among the described framework designs, the utilization of spatial flow field structure is the featured improvement to the time-series flow field prediction process.

The proposed flow field prediction framework could be generalized to different crank angle periods, cycles and swirl ratio conditions, which could greatly promote real-time flow control and reduce experiments on in-cylinder flow field measurement and diagnostics.

The purpose of this study is to apprise mobile loyalty to halal food purchasing, including food quality, mobile quality, perceived value and satisfaction as its causes, and analyze the halal trust and health risk moderating role on the connections between mobile loyalty and its determinants.

A total of 307 responses from millennial Muslims were collected from the Bandung region of Indonesia via an online survey. Partial least squares modeling was applied to review the proposed mobile loyalty model.

This research found that the mobile loyalty model integrating halal food quality, mobile service quality, perceived value and satisfaction has satisfactory goodness of fit. The research confirms the function of mobile service quality but not halal food quality as drivers of mobile loyalty. Next, this study suggests that halal trust and health risks do not moderate the association between mobile loyalty and its determinants.

This study recommends that managers devote resources to upgrading the quality of their mobile apps to build loyalty. Offering high-quality halal food is also an important driver of millennial Muslim satisfaction.

To the best of the authors’ knowledge, this research is the first to investigate mobile loyalty in halal food.

Tourists' environmentally responsible behaviour (ERB) is very important for the environmental sustainability of popular tourist destinations. The main purpose of this research paper is to explore the relationship between environmental citizenship behaviour (ECB) and trust in local government with ERB.

A theoretical model was proposed and tested. Data were collected from domestic tourists (n = 555) visiting Antalya, on the Mediterranean coast of Turkey.

The results show that all dimensions of ECB (helping, engagement and initiatives) have a positive effect on the formation of ERB among domestic tourists. The results also show that trust in the local government of the destination has a moderating effect on the relationship between the two dimensions of ECB (engagement and initiatives) and ERB. The helping dimension of ECB has the highest positive impact factor on ERB. The results provide a comprehensive framework for further research. The proposed model is strongly supported by the findings.

Local policy makers can focus on how to increase the environmental motivation of domestic tourists. Environmentally friendly projects can be developed to attract their attention. This will ensure that they take more responsibility for the environment at the destination.

Understanding the potential impact of local government on tourist behaviour is crucial for sustainability. However, there are few studies that directly examine the moderating effect of trust in local government on the relationship between ECB and ERB. This study addresses this gap and makes novel contributions to the relevant literature.