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The purpose of this study is to present an in-depth examination of stakeholder engagement processes in non-governmental organisations (NGOs) from the perspective of NGO managers to enhance accountability and the effectiveness with which aid services are delivered. Specifically, demand-side (downward) accountability and the implications of an accountability system that is predominantly supply-side (upward) focused are explored.

This study draws on evidence gathered from 25 in-depth interviews with representatives of leading NGOs in Nigeria to explore and uncover the nature of stakeholder engagement and accountability processes in their respective organisations. This study shows prospects for entrenching organisational reform that balances power and influence that benefits the less economically powerful demand side of the stakeholders. A relevant aspect of stakeholder theory was used to frame the analysis.

The study reveals an overlay of a blanket engagement system and a seeming reluctance of NGOs to disclose critical information to the demand-side stakeholders (DSS), and suggests ways to meet sustainability demands and address the militating concerns. A perceived lack of understanding and prospects or outcomes of demand-side accountability are central to this; however, engagement outcomes that account for impact rather than output are explored and reported. The findings suggest that proper accountability involves adequate stakeholder engagement which is a prerequisite and paramount for sustainability.

This study primarily delineates NGO managers’ views on NGO engagement and accountability dynamics. Future research may explore the perspectives of downward stakeholders themselves. The study highlights the concern for NGOs to maintain a defined stakeholder engagement process that resists external forces that may impact on their operations and derail their mission, resulting in duplication of services.

The study shows the implications of donors’ influence on accountability practices which can be improved by re-structuring supply-side stakeholders to significantly include DSS accountability requirements in the key performance indicators of NGOs in developing countries. The authors present a nuanced perspective to aid delivery and access that ensures improved services and more effective, impactful and sustainable aid which is of practical relevance to NGOs and their accountability mechanism.

This study deepens the understanding of the dynamics of stakeholder engagement and accountability processes and shows that the most effective way to deploy aid funds to meet sustainability goals is to draw on the experiences and local knowledge of the DSS. This would require an effective and results-driven dialogue among all the stakeholders involved. The proposed engagement and management framework contribute to theory and practice by fostering multi-stakeholder cooperation, DSS accountability and the advancement of sustainable development

This chapter introduces the topic of mental health and wellbeing in schools and the overarching theoretical framework for the book. The evolving role of schools from nurturing environments to frontline support for pupils’ mental health and wellbeing is scrutinised in the context of demand, capacity and constraints in a post-pandemic world. Alongside this is a critical consideration of schools’ and education staff’s role, responsibilities and boundaries. The disparate mental health needs of pupils within the school population are discussed, as well as key risk and protective factors to help facilitate timely identification and appropriate support pathways for vulnerable pupils. Key topics and case studies which comprise the remainder of the book are introduced to navigate the reader, and this concludes the chapter.

The COVID-19 pandemic forced many employees to work from home, resulting in new demands that might cause older workers to reevaluate their retirement decisions. Building on the extended Job Demands-Resources model, which explains work-related outcomes in times of crisis, this study investigated the change in older workers’ intention to continue working during COVID-19 and the role of ICT-related strain and social support during teleworking.

A two-wave longitudinal study was conducted among 1,406 older workers (i.e. 50 years or older). Data were collected before the COVID-19 pandemic (2019: T1) and during the pandemic (2021: T2). In total, 967 older workers completed the survey at both waves.

Older workers’ nearing retirement experienced a decline in intentions to continue working during the pandemic, while intentions of older workers further away from their retirement increased. At T2, the negative relationship between telework intensity and the intention to continue working was mediated by ICT-related strain. Perceived social support at work seems to buffer the negative impact of telework intensity on ICT-related strain.

This study provides valuable insights into factors that may stimulate older workers' workforce participation by investigating effects of ICT-related strain and social support during telework. Organizations can implement interventions that enhance job resources and reduce job demands during telework to help mitigate ICT-related strain and postpone retirement.

Business analytics (BA) is a new frontier of technology development and has enormous potential for value creation. Information systems research shows ample evidence of its positive business impacts and organizational performance. However, there is limited understanding of how decision-makers or users of BA outcomes actually engage with data analysts in the process of data-driven insight generation and how they improve their understanding of business environments using BA outcomes. To aid this engagement and understanding, this study investigates the interaction between decision-makers and data analysts when they attempt to uncover data capacities and business needs and acquire business insights from BA tools.

This study employs an interpretive field study with thematic analysis. The authors conducted interviews with 31 participants who all relied on BA in their daily decisions. The study participants were engaged in different BA roles, including data analysts and decision-makers. They validated the applicability and usefulness of our findings through a focus group with eight practitioners, including decision-makers and data analysts from the same companies.

This study proposes a process model of data-driven sensemaking and sensegiving based on Weick’s sensemaking framework. The findings exhibit that decision-makers are engaged in sensemaking by identifying areas of focus, determining BA scope, evaluating generated insights and turning BA into action. The findings also show that data analysts engage in sensemaking by consolidating data, data understanding, preparing preliminary outcomes and generating actionable reports. This study shows how sensemaking processes and sensegiving activities work together over time through immediate enactment, selection and decision cycles.

This study is a first attempt to understand interactions in the context of BA using the perspective of sensemaking and sensegiving.

The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).

After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.

Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.

The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.

This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.

The purpose of this study is to revisit the conventional wisdom about a key contribution [i.e. strengths, weaknesses, opportunities, threats (SWOT) analysis] in the field of strategic management. The societal context and the role of academics, consultants and executives is taken into account in the emergence of SWOT analysis during the 1960–1980 period as a pivotal development within the broader context of the satisfactory, opportunities, faults, threats (SOFT) approach. The authors report on both the content and the approach, so that other scholars seeking to invigorate indigenous theories and/or underreported strategy practices will thrive.

Applying a historiographic approach, the authors introduce an evidence-based methodology for interpreting historical sources. This methodology incorporates source criticism, triangulation and hermeneutical interpretation, drawing upon insights from robust evidence through three iterative stages.

The underreporting of the SOFT approach/SWOT analysis can be attributed to several factors, including strategy tools being integrated into planning frameworks rather than being published as standalone materials; restricted circulation of crucial long-range planning service/theory and practice of planning reports due to copyright limitations; restricted access to the Stanford Research Institute Planning Library in California; and the enduring popularity of SOFT and SWOT variations, driven in part by their memorable acronyms.

In the spirit of a renaissance in strategic planning research, the authors unveil novel theoretical and social connections in the emergence of SWOT analysis by combining evidence from both theory and practice and delving into previously unexplored areas.

Caution is advised for scholars who examine the discrete time frame of 1960–1980 through mere bibliometric techniques. This study underscores the risks associated with gathering incomplete and/or inaccurate data, emphasizing the importance of triangulating evidence beyond scholarly databases. The paradigm shift of strategic management research due to the advent of large language models poses new challenges and the risk of conserving and perpetuating academic urban legends, myths and lies if training data is not adequately curated.

The purpose of this study was to analyze, through a sequential model, the underlying mechanisms connecting transformational leadership with employee task performance. Specifically, it examined the causal chain of transformational leadership-job characteristics (task variety and task significance)-job engagement-task performance.

The hypotheses were tested on a sample of 320 employees and their supervisors from Spanish young technology and knowledge-intensive small and medium-sized enterprises (SMEs) using structural equations.

The results show that the effect of transformational leadership on task performance (assessed by supervisors) occurs sequentially via task significance and job engagement. Additionally, job engagement mediates the relationship between task variety and task performance.

Findings highlight the relevance for supervisors to employ a transformational leadership style that leads employees directly and indirectly, through task significance, to be more engaged and achieve higher task performance. They also emphasize the importance of proper job design that allows employees to be fully invested in their job performance.

Despite the importance of leadership and employee performance for the survival and growth of these firms, the study of these relationships is largely unexplored. This study proposes and tests a serial model in which supervisor transformational leadership is linked to employee task performance through two sequential mediators: job characteristics (task variety and task significance) and job engagement.

From the in-group status as a former homeschool parent, the goal is to problematize the entanglement of neoliberalism within self-directed education (SDE) pedagogies. Further and importantly, this study aims to bring attention to and examine the neoliberal resistant practices found in Black homeschooling.

A narrative literature review, content analysis and autoethnographic reflection to critically examine the neoliberal subjectivity of SDE and identify neoliberal-resistant SDE practices of Black homeschooling families.

This paper identifies SDE’s vulnerability to neoliberal subjectivity despite the neoliberal oppositional ethos of many of its practices and its antiestablishment historical context and rhetoric. It analyzes conceptions of self, autonomy and freedom (the ideas that underwrite self-direction) that can inform a critical self-directed learning (SDL) approach. It explores contemporary Black homeschooling and SDE practices for evidence of these conceptions, arguing that this demographic, at the margin of the discursive homeschooling community, instantiates an authentic resistance and disruption to neoliberal subjectivity in SDE.

Very little research has been done on neoliberal subjectivity in the discursive SDE community. The vulnerability of SDE to neoliberalization is important to SDL homeschoolers, unschoolers and other SDE facilitators who want to practice alternative-to-mainstream values or social justice-oriented pedagogy. Without awareness of this vulnerability, neoliberal hegemony can be reproduced by SDE practices.

This chapter reviews the evidence on the role of physicians in shaping inequalities in access to and utilisation of healthcare. The authors examine three types of physician decisions that can influence inequalities in access and utilisation: location decisions, decisions to work in the public and/or private sector, and decisions or behaviours in the doctor–patient encounter. For each, the authors summarise the issues and empirical evidence on possible policies to help reduce inequalities in access. Future research to reduce inequalities should focus on changes to health systems that influence physician decisions, such as health insurance expansions, the public–private mix and financial incentives, as well as physician training and policies for a more diverse physician workforce.

This study aims to examine the interaction effects of chatbots’ language style and customers’ decision-making journey stage on customer’s service encounter satisfaction and the mediating role of customer perception of emotional support and informational support using the construal level theory and social support theory as conceptual frameworks.

This study used a scenario-based experiment with a 2 (chatbot’s language style: abstract language vs concrete language) × 2 (decision-making journey stage: informational stage vs transactional stage) between-subjects design.

Findings show that during the informational stage, chatbots that use abstract language style exert a strong influence on service encounter satisfaction through emotional support. During the transactional stage, chatbots that use concrete language style exert a strong impact on service encounter satisfaction through informational support.

Findings provide some suggestions for improving customer–chatbot interaction quality during online service encounters.

This study offers a novel perspective on customer interaction experience with chatbots by investigating the chatbot’s language styles at different decision-making journey stages.