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Natural calamities like earthquakes, floods and epidemics/pandemics like COVID-19 significantly disrupt almost all the supply networks, ranging from medicines to numerous daily/emergency use items. Supply Chain Resilience is one such option to overcome the impact of the disruption, which is achieved by developing supply chain factors with Artificial Intelligence (AI) and Big Data Analytics (BDA).

This research examines how organizations using AI and BDA can bring resilience to supply chains. To achieve the objective, the authors developed the methodology to gather useful information from the literature studied and developed the Total Interpretive Structural Modeling (TISM) by consulting 44 supply chain professionals. The authors developed a quantitative questionnaire to collect 229 responses and further test the model. With the analysis, a conceptual and comprehensive framework is developed.

A major finding, this research advocates that supply chain resilience is contingent upon utilizing supply chain analytics. An empirical study provides further evidence that the utilization of supply chain analytics has a positive and favorable effect on the flexibility of demand forecasting to inventory management, resulting in increased efficiency.

Few studies demonstrate the impact of advanced technology in building resilient supply chains by enhancing their factors. To the best of the authors' knowledge, no earlier researcher has attempted to infuse AI and BDA into supply chain factors to make them resilient.

The number of university students seeking mental health support is rapidly increasing. To provide additional psychological support to students accessing well-being services, this study aimed to pilot a mental health Web application (app) called Orpheus®.

Guided by student consultations, a multi-methods approach was adopted, including an examination of in-app data, chart reviews of routinely collected student information and interviews with mental health practitioners. Usage data were analysed descriptively. Changes in mental health outcomes were examined using means, standard deviations and reliable change indices for anxiety and depression scores. Inductive and deductive thematic analysis was conducted on qualitative data from staff interviews and student feedback.

A total of 26 students registered an account with 39 completed app visits. On 37 of the 39 (94.9%) occasions, students reported reductions in the intensity of unwanted negative emotions. Statistically significant reductions in the average pooled anxiety and depression scores were observed. Of the 15 students who completed pre- and post-routine outcome measures, between 20% and 60% showed reliable and meaningful symptom improvements. Students reported that the app was helpful and easy to set up and use, with no adverse events. Practitioners highlighted barriers and facilitators related to the technology features, situational contexts and individual differences.

Integrating Orpheus in real-world settings resulted in promising implementation processes, potential for future uptake and positive outcomes. However, ongoing research, staff training and app testing are needed to further improve the implementation processes for digital mental health interventions.

This paper aims to identify the interrelationships among critical factors for digital servitization (DS) implementation.

A multi-method research was used. Critical factors for a successful DS implementation were identified using a systematic literature review and expert interviews. The interpretive structural modeling (ISM) method was used to develop a hierarchical model of the identified factors, followed by the fuzzy Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis to assess their dependence and driving powers.

A total of 23 factors for DS implementation were identified, and the ISM model was developed. Based on MICMAC analysis, the factors were also grouped under four categories (dependent, driving, autonomous and linkage). A conceptual framework is proposed, highlighting that DS implementation relies on three main layers of critical factors: crafting alignment, scaling the change and achieving results.

The ISM and fuzzy MICMAC methods used in this study provided valuable insights into the interrelationship among the identified DS factors through a conceptual framework. To the best of the authors’ knowledge, the study is one of the first to identify critical factors influencing DS implementation and develop hierarchical relationships among them.

Considering the relevance of understanding what influences environmentally sustainable consumer choices, the present study aims to examine and synthesize the key determinants factors from literature and outline a new conceptual framework for explaining green purchasing behaviors (GPBs).

A bibliometric analysis was conducted on 161 articles extracted from Web of Science and Scopus databases, which were systematically evaluated and reviewed, and represent the current GPB knowledge base. Content analysis, science mapping and bibliometric analysis techniques were applied to uncover the major theories and constructs from the state-of-the-art.

The evolving debate between altruistic and self-interest consumer motivations reveals challenges for rational-based theories, as most empirical applications are not focused on buying behaviors, but instead either on pro-environmental (non-buying) activities or on buying intentions. From the subset of leading contributions and emerging topics, nine thematic clusters are unveiled in this investigation, which were combined to create the new PSICHE framework with the purpose of predicting GPB: (P)roduct-related factors, (S)ocial influences, (I)ndividual factors, (C)oncerns about the environment, (H)abits and (E)motions.

By uncovering the multiple intervening factors in GPB decision processes, this study will assist practitioners and academics to move forward on how to foster more sustainable consumer behaviors.

The present study provides readers a summary of an unprecedentedly broad collection of papers, from which the key themes are categorized, the domain's intellectual structure is captured and an actionable framework for enhancing the understanding GPB is proposed. Four new thrust areas and a set of future research questions are included.

The purpose of this study is to empirically investigate the role of dynamic capabilities, specifically the sequence of sensing, seizing, and transforming capabilities, in highly uncertain, emerging technology environments. Focusing on the extended reality industry, the study aims to understand the antecedents to these dynamic capabilities, their sequential nature, and their subsequent impact on innovation and company performance.

Based on a survey of 130 German companies in the extended reality sector, we built a structural equation model that explores the relationship between dynamic capabilities, their antecedents, and their effect on innovation and company performance.

The analysis suggests that sensing capabilities positively influence seizing and transforming capabilities, while seizing directly contributes to transforming. Transforming capabilities are linked to improved innovation performance, which in turn boosts company performance. Organizational ambidexterity, market orientation, and technology orientation are found to be crucial antecedents, accounting for 33.1% of the variance in sensing capabilities.

This research illuminates the interdependence of dynamic capabilities in highly uncertain business environments, such as emerging technology markets. It contributes original insights by elucidating the sequential nature of dynamic capabilities and identifying their vital antecedents. It also enlarges the understanding of how dynamic capabilities impact firms’ innovation performance.

School exclusion in England is highly gendered, racialised and classed. For instance, boys are three times more likely than girls to be excluded from school and certain groups, including Black Caribbean boys are subject to disproportionate levels of exclusion. Against this backdrop, I explore the context and consequences of exclusion from English mainstream schooling for young masculinities. The arguments presented also have broader international significance due to a global tendency towards punitive measures in schooling. Through bringing masculinities scholarship into conversation with childhood studies, this chapter aims to present a nuanced theorisation of young masculinities which foregrounds lived experience and is located within the interdisciplinary field of childhood studies. It examines ways in which exclusion and schooling in alternative settings, such as a Pupil Referral school, can shape the identities of boys and their subjectivities. The empirical data demonstrate that excluded boys face severe constraints arising from ways in which they are positioned. Drawing on original qualitative data, it is argued that boys who are categorised in this way demonstrate highly agentic ways of ‘doing boy’. This chapter is underpinned by two questions, firstly, how can we theorise boyhood and school exclusion in ways that recognise excluded boys as agentic and constrained subjects? Secondly, what possibilities for change might our theorisation reveal? This chapter concludes by arguing for intersectional masculinities and strengthened theorisation of childhood studies which explicitly recognises lived experience. Through this discussion, I seek to illuminate the emotional costs of school exclusion and insights into ways to achieve change.

Through the lens of the Social Exchange Theory, this study investigates the role of emotional and psychological well-being in explaining the relationship between academic stress and friendship quality.

Using a cross-sectional quantitative research design, the study gathered data from 298 tertiary students. Statistical analysis was conducted using Hayes Process Macro in SPSS.

Results from the study challenge conventional assumptions, indicating a positive and significant relationship between academic stress and friendship quality. In addition, the study revealed that psychological well-being partially mediates the relationship between academic stress and friendship quality, while emotional well-being fully mediates the relationship between academic stress and friendship quality.

This study is limited to the tertiary institutions in Ghana. Future studies may consider expanding the scope to other levels of education to gain a more comprehensive perspective of the variables of the study.

This study presents a novel approach by examining the proposed model within the Ghanaian setting. It offers valuable perspectives on the interplay between academic stress, well-being, and friendship quality.

Against the background of the popularity of social media and heritage tourism, this study aims to focus on world heritage sites, proposing a method to examine and compare the digital spatial footprints left by tourists using geographic information systems.

By analyzing user-generated content from social media, this research explores how digital data shapes the destination image of WHS and the spatial relationships between the components of this destination image. Drawing on the cognitive-affective model (CAM), it investigates through an analysis of integrated data with more than 20,000 reviews and 2,000 photos.

The creativity of this research lies in the creation of a comprehensive method that combines text and image analytics with machine learning and GIS to examine spatial relationships within the CAM framework in a visual manner.

The results reveal tourists' perceptions, emotions, and attitudes towards George Town and Malacca in Malaysia, highlighting several key cognitive impressions, such as history, museums, churches, sea, and food, as well as the primary emotions expressed. Their distributions and relationships are also illustrated on maps.

Tourism practitioners, government officials, and residents can gain valuable insights from this study. The proposed methodology provides a valuable reference for future tourism studies and help to achieve a sustainable competitive advantage for other heritage destinations.

This paper explores Lean Six Sigma principles and the DMAIC (define, measure, analyze, improve, control) methodology to propose a new Lean Six Sigma 4.0 (LSS 4.0) framework for employee occupational exams and address the real-world issue of high-variability exams that may arise.

This study uses mixed methods, combining qualitative and quantitative data collection. A detailed case study assesses the impact of LSS interventions on the exam management process and tests the applicability of the proposed LSS 4.0 framework for employee occupational exams.

The results reveal that changing the health service supplier in the explored organization caused a substantial raise in occupational exams, leading to increased costs. By using syntactic interoperability, lean, six sigma and DMAIC approaches, improvements were identified, addressing process deviations and information requirements. Implementing corrective actions improved the exam process, reducing the number of exams and associated expenses.

It is important to acknowledge certain limitations, such as the specific context of the case study and the exclusion of certain exam categories.

The practical implications of this research are substantial, providing organizations with valuable managerial insights into improving efficiency, reducing costs and ensuring regulatory compliance while managing occupational exams.

This study fills a research gap by applying LSS 4.0 to occupational exam management, offering a practical framework for organizations. It contributes to the existing knowledge base by addressing a relatively novel context and providing a detailed roadmap for process optimization.

Corporate social responsibility (CSR) is going through a critical period that challenges its capacity to respond to social and environmental crises, which could be associated with the growing Corporate Hypocrisy (CH) phenomenon. This study aims to identify the theoretical perspectives of the scientific literature on CH as a contemporary phenomenon concerning CSR.

We adopted a sequential mixed-method approach in this study. First, we conducted a bibliometric analysis of the publications on the Web of Science database. Subsequently, we performed a content analysis of CH with CSR.

The literature review revealed two main research paths: the first deals with the perceptions of hypocrisy; the second relates to the company’s responsibility for disclosure. In addition, we found that researchers use different expressions to refer to the gap between discourse and action in organisations. Some authors suggest subtle differences between these terms, while others use them interchangeably. The causes of this phenomenon vary according to the facets of hypocrisy and the negative implications for the reputation and credibility of companies.

This study contributes to understanding the dissociation between CSR statements and practices. To this end, it combines and collates the literature on a phenomenon studied from different sides using numerous designations.