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People in prisons have a high prevalence of poly-traumatisation throughout their life span. The behavioural and emotional sequalae of trauma are likely to be managed across the whole organisation. However, there is still a lack of clarity about the key components of a trauma-informed approach within the custodial context. This study aimed to gather in-depth knowledge of staff views on the components of an optimal trauma pathway in a prison and the organisational factors that influence its implementation.

The authors’ research design is qualitative, involving in-depth, semi-structured interviews with eight members of staff from different professional backgrounds at a single prison in the UK that houses sentenced and remand prisoners. Data was analysed using reflexive thematic analysis.

Three super-ordinate themes were identified within the data. Firstly, components of a trauma-informed pathway included sub-themes of asking about what has happened and knowing how to respond; providing specialist approaches; enabling residents to cope; screening and detection; and a compassionate relational approach. Secondly, organisational factors were associated with sub-themes of culture and leadership, resources and systems and processes. Thirdly, staff factors were associated with sub-themes of skills development and training, staff well-being and support and staff attitudes.

Post-traumatic stress disorder (PTSD) and complex PTSD in prisons are under-detected, and there are complex psychosocial factors within prisons that mediate the effectiveness of psychological therapies.

To the best of the authors’ knowledge, this study represents the first exploration of staff perspectives on the components of a trauma-informed pathway within custodial settings. Future directions should involve the piloting and evaluation of the components of the trauma-informed pathway, with a focus on longer-term outcomes and exploration of the organisational factors that impact on effectiveness.

The study aims to explain the process of management accounting practices and organizational change aspects in the public sector’s response to environmental pressures. Specifically, it discusses the interaction process between management accounting practices from one side and culture, leadership and decentralization from the other side.

This study adopts qualitative research approach and an interpretive case study. The study uses the triangulation method of data collection, including interviews, annual reports, documents and archival records. A theoretical lens informs it of the contextual/processual approach for interpreting interaction processes between management accounting and organizational change aspects, including culture, leadership and decentralization.

The findings confirm that a change in organizational culture has an important impact on accounting change, which has played a central role in the desire to initiate and accept such changes by the organizational members. Similarly, the new leadership style created a unique culture that was considered a solid platform to introduce new accounting systems by enhancing the trust between IT staff and management accountants and their trust in themselves to accept the change. The paper concludes that the relationships between the change aspects at the organizational level, and accounting practices at the inherent organizational and accounting levels are both recursive and two way, with the two concepts inextricably interwoven.

The study has some limitations as the data is limited to only a single country – more explanation for Jordanian Customs Organization quantitative understandings of governance improvement. The study has important implications for practitioners and customs officials by showing that different government regulations and customs reforms have varied influences on the public sector. These reforms have included most modifications to the accounting and organizational configurations. This study contributes to institutional theory development and refinement by exploring the interface between external influences and internal origins in the accounting change process.

This study uses a categorical association between organizational changes and accounting in the public sector as most prior studies have been conducted on the private sector due to competitive and technical pressures. It also contributes to organizational change and accounting literature by discussing the relationship between accounting from one side and culture and leadership from another side.

Customer experience has become a vital premise in service theory and practice. Despite researchers' and managers' growing interest, the customer experience remains a complex and multidimensional concept that is challenging for service providers to understand. This study aims to graph the experience in its multidimensionality by categorizing and proposing matching practices for service marketing managers to channel and foster customer experiences in customer journeys.

To support the predominantly conceptual nature of the study, an abductive approach underpinned by the authors' vast experience in academia and practice, real-life autohermeneutic phenomenological experience tales and theory on customer experience and its management by providers is deployed to craft a model that addresses and highlights the multidimensionality of experience.

This study introduces the “GraphEx” (Graph Experience) hip-pocket model, which expresses customer experience in a simple yet multidimensional fashion and offers managerial practices to foster the customer's experience. The model contains three dimensions (valence, type of experience and visceral intensity) and five managerial practices (urgent patchwork, restoring, activating and stimulating desire, bolstering and safeguarding appreciation).

This study contributes to the service literature by creating granularity in the multidimensionality of customer experience. This study advances customer experience management in practice by providing service managers with novel possibilities for understanding and managing customer experiences intelligently. This can help service providers streamline and innovate customer experience strategies during customer journeys and foster customer loyalty.

Machine learning (ML) techniques are increasingly important in enabling business-to-business (B2B) companies to offer personalized services to business customers. On the other hand, humans play a critical role in dealing with uncertain situations and the relationship-building aspects of a B2B business. Most existing studies advocating human-ML augmentation simply posit the concept without providing a detailed view of augmentation. Therefore, the purpose of this paper is to investigate how human involvement can practically augment ML capabilities to develop a personalized information system (PIS) for business customers.

The authors developed a research framework to create an integrated human-ML PIS for business customers. The PIS was then implemented in the energy sector. Next, the accuracy of the PIS was evaluated using customer feedback. To this end, precision, recall and F1 evaluation metrics were used.

The computed figures of precision, recall and F1 (respectively, 0.73, 0.72 and 0.72) were all above 0.5; thus, the accuracy of the model was confirmed. Finally, the study presents the research model that illustrates how human involvement can augment ML capabilities in different stages of creating the PIS including the business/market understanding, data understanding, data collection and preparation, model creation and deployment and model evaluation phases.

This paper offers novel insight into the less-known phenomenon of human-ML augmentation for marketing purposes. Furthermore, the study contributes to the B2B personalization literature by elaborating on how human experts can augment ML computing power to create a PIS for business customers.

This study aims to comprehend the role of leagility and resilience in developing sustainable global supply chains, mitigating short-term disruptions and long-term economic impacts from various disasters, in the context of Australian civil infrastructure projects.

The study employs systematic review approach to establish that addressing project success dimensions (i.e. leagility, resilience and sustainability) requires an integrated and extended supply chain approach, encompassing traditional supply chain strategic model elements (i.e. cost/capital, quality and service goals) and supply chain eco-system (i.e. organisations, societies, economies and nature).

The study underscores the need to enhance supply chain leagility and resilience to achieve sustainability. This can be achieved by developing skills needed to plan across project phases and time frames, aligning with short and long-term organisational goals, assuming smart risks in the face of uncertainty.

This study extends the traditional supply chain strategic model by introducing new priorities to minimise the consequences of disruptions and to effectively respond to them. The integration of leanness, agility and resilience ensures a sustainable supply chain even in the times of uncertainty, disruption and volatility.

This research provides an opportunity for practitioners and policymakers to rethink and redesign the conventional supply chain model of cost, capital, quality and service objectives. It introduces pioneering concepts by acknowledging and incorporating emerging priorities, especially in Australian civil infrastructure projects. The study integrates leagility and resilience into the existing strategic framework, adding crucial dimensions for sustainable supply chains in infrastructure companies.

This study aims to synthesize and conceptualize the highly fragmented yet important literature on racial discrimination in entrepreneurship.

A bibliometric analysis and literature review were performed that involved 523 articles containing 26,926 references.

The bibliometric analysis identified three dominant research themes that comprehensively illustrate the state of research in this domain: strategic, sociocultural and individual-level perspectives. The synthesis of extant literature helped in formulating a holistic conceptual model that portrays the genuineness of racial discrimination in entrepreneurship. The sources, factors and impact of racial discrimination faced by entrepreneurs were identified. Based on the review and analysis of keywords, certain fruitful future research directions were formulated that will take the field forward.

This work is the first attempt to review the literature that narrows down the focus to racial discrimination in entrepreneurship (from other discriminations such as gender, cultural and religious discrimination) as one form of discrimination due to its unique origins and consequences.

FinTech offers numerous prospects for significant enhancements and fundamental changes in financial services. However, along with the myriad of benefits, it also has the potential to induce risks to individuals, organisations and society. This study focuses on understanding FinTech developers’ perspective of the dark side of FinTech.

This study conducted semi-structured interviews with 23 Nigerian FinTech developers using an exploratory, inductive methodology The data were transcribed and then thematically analysed using NVivo.

Three themes – customer vulnerability, technical inability and regulatory irresponsibility – arose from the thematic analysis. The poor existing technological infrastructure, data management challenges, limited access to data and smartphone adoption pose challenges to a speedy integration of FinTech in the country, making customers vulnerable. The lack of privacy control leads to ethical issues. The lack of skilled developers and the brain drain of good developers present additional obstacles to the development of FinTech in Nigeria.

FinTech operation in a developing country differs from that in developed countries with better technological infrastructure and institutional acceptance. This study recognises that basic banking operations through FinTech are still not well adopted, necessitating the need to be more open-minded about the global practicalities of FinTech.

FinTech managers, banks and policymakers can ethically collect consumer data that can help influence customer credit decisions, product development and recommendations using the mobile app and transaction history. There should be strict penalties on FinTech for selling customers’ data, sending unsolicited messages or gaining unnecessary access to the customer’s contact list. FinTech can offer to educate consumers about their financial management skills.

Whereas other studies have focused on the positive aspects of FinTech to understand client perceptions, this study offers new insights into the dark side of FinTech by analysing the viewpoints of FinTech developers. Furthermore, the study is based in Nigeria, an emerging economy adopting FinTech, adding a new dimension to the body of knowledge.

Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.

This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.

The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.

The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.

The purpose of this paper is twofold: (1) to map and analyze existing complexity typologies and (2) to develop a framework for characterizing complexity-based approaches.

This study was conducted in three stages: (1) initial identification of typologies related to complexity following a structured procedure based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol; (2) backward and forward review to identify additional relevant typologies and (3) content analysis of the selected typologies, categorization and framework development.

Based on 17 selected typologies, a comprehensive overview of complexity studies is provided. Each typology is described considering key concepts, contributions and convergences and differences between them. The epistemological, theoretical and methodological diversity of complexity studies was explored, allowing the identification of the main schools of thought and authors. A framework for characterizing complexity-based approaches was proposed including the following perspectives: ontology of complexity, epistemology of complexity, purpose and object of interest, methodology and methods and theoretical pillars.

This study examines the main typologies of complexity from an integrated and multidisciplinary perspective and, based on that, proposes a novel framework to understanding and characterizing complexity-based approaches.

This study offers insight on the impact of virtual team projects (VTPs) of varying types (global vs domestic teams, technology vs non-tech projects) on competency and anxiety outcomes during the COVID-19 pandemic.

Paired-sample t-tests and ANOVA tests were performed on student survey responses pre- and post-engagement of different VTPs.

The results demonstrated positive effects of VTPs on intercultural sensitivity (ISS), computer self-efficacy, perceived ease of use of online learning and COVID-19 anxiety. ISS (“interaction confidence”) improved more for students in the global vs. domestic teams and technology-related outcomes (CSE, PEU and computer anxiety) and ISS (“respect for cultural differences”) improved more for students that participated in tech projects, whereas COVID-19 anxiety lessened more for those that participated in non-tech projects.

The study expands understanding of the Technology Acceptance Model and provides insight into the ISS literature showing that VTPs could be a worthwhile pedagogical approach for improving student competencies and anxiety during times of academic disruption, but that project type can influence these changes.