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This paper sought to examine the factors that influence intention to recommend, focussing on the extension of the theory of planned behaviour in halal tourism, with additional instruments such as halal safety and security, and trustworthiness of halal information.

Guided by a quantitative approach, cross-sectional data were collected using 394 Muslim diaspora tourists. The analysis technique used in this study is the partial least square structural equation modelling (PLS-SEM).

The results suggest that halal planned behaviour may account for the intention to recommend. Halal attitude, subjective norm, halal image, halal value, halal safety and security, and trustworthiness of halal information positively and significantly affect intention to recommend.

Muslim diaspora tourists are identified to have halal planned behaviour on intention to recommend. Hence, destination managers and practitioners are suggested to develop proactive halal products and services that appeal to tourists' intention to recommend.

This study has developed two new constructs: halal safety and security, and the trustworthiness of halal information grounded on the theory of planned behaviour in halal tourism. Specifically, the focus is on Muslim diasporic tourists' perspective in a non-Islamic context.

Drawing on expectancy violation theory, this study aims to assess the impact of corporate environmental irresponsibility (CEI) on workplace deviant behaviors (WDB) of Generation Z and Millennials through the mediation of moral outrage.

The data were collected from 328 nonmanagerial employees working in the refinery, petroleum and power distribution companies who have been convicted for committing environmental irresponsibility by a court of law. Multigroup analysis (MGA) was used to estimate the hypothesized relationships.

Results revealed that CEI affects WDBs positively. Moreover, the MGA results demonstrated that the deviant behavior of Generation Z in response to environmental irresponsibility is higher than of the Millennials.

Theoretically, the findings implicate that harming the environment will cost organizational performance through deviant behaviors.

This study provides a new lens for the executive management that eliminating social irresponsibility is more important than incurring sustainability initiatives, especially from the new generation’s perspective.

The originality of this study is that it confirmed the impact of CEI on employees’ deviant behaviors; and extended the scope of expectancy violation theory to the field of human resources.

This study aims to investigate the literature related to the use of digital technologies for promoting circular economy (CE) in the construction industry.

A comprehensive approach was adopted, involving bibliometric analysis, text-mining analysis and content analysis to meet three objectives (1) to unveil the evolutionary progress of the field, (2) to identify the key research themes in the field and (3) to identify challenges hindering the implementation of digital technologies for CE.

A total of 365 publications was analysed. The results revealed eight key digital technologies categorised into two main clusters including “digitalisation and advanced technologies” and “sustainable construction technologies”. The former involved technologies, namely machine learning, artificial intelligence, deep learning, big data analytics and object detection and computer vision that were used for (1) forecasting construction and demolition (C&D) waste generation, (2) waste identification and classification and (3) computer vision for waste management. The latter included technologies such as Internet of Things (IoT), blockchain and building information modelling (BIM) that help optimise resource use, enhance transparency and sustainability practices in the industry. Overall, these technologies show great potential for improving waste management and enabling CE in construction.

This research employs a holistic approach to provide a status-quo understanding of the digital technologies that can be utilised to support the implementation of CE in construction. Further, this study underlines the key challenges associated with adopting digital technologies, whilst also offering opportunities for future improvement of the field.

When a process experiences an out-of-control condition, identification of the change point is capable of leading practitioners to an effective root cause analysis. The change point addresses the time when a special cause(s) manifests itself into the process. In the statistical process monitoring when the chart signals an out-of-control condition, the change point analysis is an important step for the root cause analysis of the process. This paper attempts to propose a model approaching the artificial neural network to identify the change point of a multistage process with cascade property in the case that the process is modeled properly by a simple linear profile.

In practice, many processes can be modeled by a functional relationship rather than a single random variable or a random vector. This approach of modeling is referred to as the profile in the statistical process control literature. In this paper, two models based on multilayer perceptron (MLP) and convolutional neural network (CNN) approaches are proposed for identifying the change point of the profile of a multistage process.

The capability of the proposed models are evaluated and compared using several numerical scenarios. The numerical analysis of the proposed neural networks indicates that the two proposed models are capable of identifying the change point in different scenarios effectively. The comparative sensitivity analysis shows that the capability of the proposed convolutional network is superior compared to MLP network.

To the best of the authors' knowledge, this is the first time that: (1) A model is proposed to identify the change point of the profile of a multistage process. (2) A convolutional neural network is modeled for identifying the change point of an out-of-control condition.

The banking industry has always been vulnerable to cyberattacks. In recent years, Pakistan’s banking sector experienced the most intense cyberattack in its over 70-year history. Due to these attacks, a large number of debit card accounts of major banks were negotiated. This study aims to examine the impact of cyberattack awareness and customers’ commitment levels after these cyberattacks.

The study integrated the commitment–trust theory framework for the relationship of trust and commitment to the usage of online banking services. The partial least square structural equation modeling is being used to explore the relationship between customer’s trust, which is an outcome of continuous usage, and customer perception of affirmative cybersecurity measures the bank.

The findings revealed that customer trust in online banking is positively associated with customer commitment, but customers’ cyberattack awareness negatively impacts customer trust and commitment to online banking.

The study highlights the importance of proactive communication, transparency and robust incident response that helps organizations establish themselves as trustworthy entities while prioritizing customer information and transaction protection.

The authors report on how cyberattacks on the banking sector influence the trust and commitment of the customers in the sector. The variable of cyberattack awareness used in this study is novel in online banking literature.

The study, grounded on the social cognitive career theory, seeks to analyze the upshot of psychological empowerment on career satisfaction via affective commitment. The study also aims to examine the impact of the interplay among affective commitment and resilience on the career satisfaction of Indian service industry professionals.

In this study, the data has been collected from 277 employees using standardized measures from the North Indian service industry. To test the proposed model, Analysis of Moment Structures (AMOS) (Hayes, 2013) was utilized.

The outcomes of the study offered substantial support for the theorized link between psychological empowerment, affective commitment, resilience and career satisfaction. The outcomes confirmed an affirmative association concerning psychological empowerment and career satisfaction through affective commitment as a mediator and resilience as a moderator. The study concludes that the workforce with extraordinary resilience will perceive a stronger influence of psychological empowerment on career satisfaction.

The study offers a few pertinent inputs for the organizations operating in high-power distance culture to comprehend the role of psychological empowerment and “resilient attributes” of personality in developing a sense of career satisfaction amongst Indian service sector employees.

The present research examines the association between psychological empowerment, affective commitment, resilience and career satisfaction for the first time as mediated moderation model and the same has neither been examined theoretically or empirically.

This paper aims to synthesise the latest literature on supply chain operations of offsite manufacturing in the construction industry to identify and evaluate the uncertainties at each stage of the offsite construction supply chain (OSC-SC) to compile contributions to knowledge and thereby determine the future research directions to improve supply chain resilience (SCR).

The study was conducted as a systematic literature review. In total, 99 peer-reviewed journal papers published between 2015 and mid-2022 were shortlisted and analysed through the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

The bibliometric analysis revealed that the research focusing on supply chain issues and developing best practices in offsite construction adopt case study approaches to investigate the research problems comprehensively. The content analysis revealed the lack of up-to-date knowledge in the construction workforce regarding OSC; low preparedness for the changes brought by the SC uncertainties; the lack of a proper procurement model for OSC; lack of end-to-end visibility of the supply chain to identify uncertainties and lack of national or government standards on OSC-SC, as some of the key problems instigating the identified the uncertainties.

This study clarifies the current knowledge by systematically presenting uncertainties at each stage of the OSC-SC. Moreover, it provides a framework and proposes that future research should focus specifically on individual/team, organisational, supply chain/network and sector/national/supranational levels to improve SCR.

Despite the numerous benefits of adopting international construction joint ventures (ICJVs), effective operation of the joint ventures in Saudi Arabia is impeded by various limitations. Thus, this paper is aimed at determining, analyzing, and prioritizing these major limitations and to propose a strategy that can provide guidance on how best to promote the achievement of efficient joint ventures in international construction in Saudi Arabian construction industry.

Content analysis was augmented by the expert-based assessment process to identify the critical limitations while the interpretive structural modeling (ISM) technique was utilized to analyze and determine the hierarchical structure of the limitations. This is important in order to comprehend and describe the complex relationship between the limitations.

The results identified “selecting unsuitable partner”, “divergent organizational cultures, policies and procedures”, and “poor knowledge of local regulations by foreign partners” as the most critical limitations affecting the efficiency of joint ventures in international construction in Saudi Arabia.

The inclusion of many variables (limitations) increases the complexity of the ISM technique, which compels the researchers to consider reduced number of variables in establishing the ISM structural hierarchy. Other variables that were perceived to be less critical were not included in the development of the ISM structural hierarchy. On the other hand, the structural hierarchy was not validated statistically, and this requires the use of other linear structural relationship techniques like the Structural Equation Modeling to test the validity of the hypothetical ISM structural hierarchy. The proposed strategy to mitigate the limitations presented in this study was not validated, and this requires further study to verify the accuracy of the strategy.

The implications inferred in this study are better performing ICJVs in the execution of mega infrastructure projects in Saudi Arabia. The findings and managerial implications of the study are expected to further provide an invaluable guide that can support policymakers and all key stakeholders to establish efficient strategies and suitable measures that can enhance the successful implementation of ICJVs.

The findings of this study provide comprehensive understanding of the limitations affecting the efficiency of ICJVs in Saudi Arabia. This can assist in mitigating the potential impacts of these limitations and to advocate for the achievement of efficient joint ventures in international construction in Saudi Arabia. Meanwhile, there is a need to further develop a framework that can elucidate on the proposed strategy to promote better performing ICJVs in Saudi Arabia. Also, the further study will seek to investigate the influence of project duration, value, location, or ownership on the performance of the joint ventures in order to generalize the findings to all forms of ICJVs.

The Internet of things (IoT), an emerging research field, offers solutions to several problems and may result in a paradigm shift in various areas, including education. However, this approach has been under-utilised. Therefore, this research investigates and highlights the primary factors that influence the impact of the IoT on education and reveals the current state of academic research to manage higher education (HE) resources effectively and efficiently.

Data from 35 academic papers were collected and analysed to understand the current situation and assess the readiness of HE to adopt IoT. A literature review is a well-established method for developing knowledge and interpreting issues under consideration. This study systematically analysed the various research methodologies used to adopt IoT, summarising the content of the studies and highlighting the main factors that may affect IoT adoption in HE.

The authors examined 95 papers; 35 were investigated and analysed. The literature review and analysis of academic papers revealed the factors influencing the adoption of IoT technology in HE.

By examining the evidence, this study contributes to understanding the context and supplements existing research. It conducts a systematic literature review to assess the impact of the IoT on the educational process, proposes future research directions and presents findings that aid the efficient management of HE resources.

The current study gives a quantitative analysis DT literature over the past ten years in domain of management and business where the field has witnessed a proliferation in studies. The study's primary areas of concentration were analyzing historical trends and identifying prospective future research opportunities in the field. Due of the way, it approaches innovation and problem-solving, design thinking has garnered a lot of interest from both academics and practitioners. Promoters and detractors, however, tend to have quite different perspectives on the program's core qualities, practicality and results.

The study adopts a bibliometric approach to a systematic literature review, where the analyses and visualizations are carried out using R Studio (Biblioshiny package) and VosViewer software. The study was conducted on 518 documents extracted from the Scopus database. To identify past research trends in the field, performance analysis based on productivity and/or impact of the research constituents was carried out to understand the intellectual structure of the field.

The study's findings indicated that few areas have received the most attention, which are presented as seven themes. While the emerging themes in the field include areas such as service design, service innovation, customer experience, innovation management, project management and 21st-century skills.

The studies are going deeper by breaking down concepts or processes and analyzing one aspect at a time, codesign and prototyping are such subareas within the realm of service or new product design and development.

This study is the first of its kind where a literature review has been conducted covering design thinking in the area of business management and accounting.