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The importance of learning in development in increasingly dynamic contexts can help individuals and organizations adapt to disruption. Artificial intelligence (AI) is emerging as a disruptive technology, with increasing adoption by various human resource management (HRM) functions. However, learning and development (L&D) adoption of AI is lagging, and there is a need to understand of this low adoption based on the internal/external contexts and organization types. Building on open system theory and adopting a technology-in-practice lens, the authors examine the various L&D approaches and the roles of human and technology agencies, enabled by differing structures, different types of organizations and the use of AI in L&D.

Through a qualitative interview design, data were collected from 27 key stakeholders and L&D professionals of MSMEs, NGOs and MNEs organizations. The authors used Gioia's qualitative research approach for the thematic analysis of the collected data.

The authors argue that human and technology agencies develop organizational protocols and structures consistent with their internal/external contexts, resource availability and technology adoptions. While the reasons for lagging AI adoption in L&D were determined, the future potential of AI to support L&D also emerges. The authors theorize about the socialization of human and technology-mediated interactions to develop three emerging structures for L&D in organizations of various sizes, industries, sectors and internal/external contexts.

The study hinges on open system theory (OST) and technology-in-practice to demonstrate the interdependence and inseparability of human activity, technological advancement and capability, and structured contexts. The authors examine the reasons for lagging AI adoption in L&D and how agentic focus shifts contingent on the organization's internal/external contexts.

While AI-HRM scholarship has primarily relied on psychological theories to examine impact and outcomes, the authors adopt the OST and technology in practice lens to explain how organizational contexts, resources and technology adoption may influence L&D. This study investigates the use of AI-based technology and its enabling factors for L&D, which has been under-researched.

The importance of mental wellbeing and the need for organizations to address it is increasing in the post-pandemic context. Although Artificial Intelligence (AI) is increasingly being adopted in HRM functions, its adoption and utility for enabling mental wellbeing is limited. Building on the Open System Theory (OST) and adopting the technology-in-practice lens, the authors examined the roles of human and technology agencies in enabling mental wellbeing.

The study was conducted in two stages; in Stage 1, the authors adopted a case methodology approach to examine the feasibility of a technology company's offerings to assess mental wellbeing. In Stage 2, the authors followed the grounded theory approach and interviewed 22 key stakeholders and HR leaders of diverse organizations. The authors used Gioia's approach to analyze the data.

The study demonstrates the interdependence and inseparability of human activity, technological capability and structured context. Specifically, the authors observe that AI adoption is pushing the boundaries of how organizations could support employees' mental health and wellbeing. These technological advancements and adoption are likely to facilitate the evolution of agentic practices, routines and structures.

This study carries two important implications. While the advent of cutting-edge technologies appears to affect employees' mental wellbeing, the study findings indicate the assistive role of technology in supporting mental wellbeing and facilitating changes in organizational practices. Second, the ontology of technology-in-practice shows how human–machine agencies gain newer relevance from the interactions that unite them. Specifically, per OST, technology (from an external context) can potentially change how mental wellbeing practices in organizations are managed. The authors extend the existing literature by suggesting that both human agents and internal contexts effectively limit the potential of technology agents to change existing structures significantly.

The authors address the need for more research on the technology-management interface, and the boundaries of technology-enabled wellbeing at work. While AI-HRM scholarship has primarily relied on micro-level psychological theories to examine impact and outcomes, the authors borrow from the macro-level theories, such as the OST and the technology-in-practice to explain how AI is shifting the boundaries of human and machine agencies for enabling mental wellbeing.

This chapter reports on a longitudinal quasi-experimental field study within an organizational design of a global consumer products manufacturer moving toward high-performance work systems (HPWSs) in North America by integrating business centers and self-directed work teams (SDWTs) coupled with 13 other action-levers within an integrated and bundled high-performance organizations (HPOs) re-design. The results of this organizational design effort are assessed using different types and levels of organizational outcomes (hard record data, behavioral, and attitudinal measures) along a 5-year temporal dimension punctuated by multiple time periods (baseline, during, and after). The organization, which was “built to change” (Lawler & Worley, 2006), in this research had already highly superior or “exemplar” (Collins, 2001) levels of organizational performance. Consequently, the real research question becomes: “What effect does state of the art organizational design and development have on an exemplar organization?” The study also calls into question the field's ability to truly assess exemplar organizations with existing measures of organizational change and development.

Insufficient intra-organizational diffusion of prefabricated construction (PC) technology hinders its implementation benefits. More research on intra-organizational diffusion of PC technology is required to improve organizational performance in PC implementation. This study aims to explore the antecedents and consequence of intra-organizational diffusion of PC technology.

This study established an antecedent and consequence model of intra-organizational diffusion of PC technology from the perspective of contingency theory. The model was empirically tested by 91 valid questionnaires using partial least squares-structural equation modeling (PLS-SEM).

The results indicate that organizational support (OSU), organizational climate (OC) and mechanistic organizational structure (OST) positively influence intra-organizational diffusion of PC technology, which further positively influences organizational performance. The relationship between OC and intra-organizational diffusion of PC technology is mediated by OSU. Technological turbulence negatively moderates the relationship between OSU and intra-organizational diffusion.

This is the first paper to study the antecedents and consequence of intra-organizational diffusion of PC technology and an expansion of contingency theory in the research field of PC technology. This study helps to theoretically stimulate future research on intra-organizational diffusion and practically promote intra-organizational diffusion of PC technology along with improving organizational performance in its implementation.

Extending the argument made in Bushe and Marshak (2009) of the emergence of a new species of Organization Development (OD) that we label Dialogic, to differentiate it from the foundational Diagnostic form, we argue that how any OD method is used in practice will be depend on the mindset of the practitioner. Six variants of Dialogic OD practice are reviewed and compared to aid in identification of a Weberian ideal-type Dialogic Mindset, consisting of eight premises that distinguish it from the foundational Diagnostic Mindset. Three core change processes that underlie all successful Dialogic OD processes are proposed, and suggestions for future research offered.

In every industry there are resources. Some are moving, others more fixed; some are technical, others social. People working with the resources, for example, as buyers or sellers, or users or producers, may not make much notice of them. A product sells. A facility functions. The business relationship in which we make our money has “always” been there. However, some times this picture of order is disturbed. A user having purchased a product for decades may “suddenly” say to the producer that s/he does not appreciate the product. And a producer having received an order of a product that s/he thought was well known, may find it impossible to sell it. Such disturbances may be ignored. Or they can be used as a platform for development. In this study we investigate the latter option, theoretically and through real world data. Concerning theory we draw on the industrial network approach. We see industrial actors as part of (industrial) networks. In their activities actors use and produce resources. Moreover, the actors interact − bilaterally and multilaterally. This leads to development of resources and networks. Through “thick” descriptions of two cases we illustrate and try to understand the interactive character of resource development and how actors do business on features of resources. The cases are about a certain type of resource, a product − goat milk. The main message to industrial actors is that they should pay attention to that products can be co-created. Successful co-creation of products, moreover, may require development also of business relationships and their connections (“networking”).

Many youth-serving organizations refer to social and emotional learning (SEL) as a process through which adults and young people develop the critical knowledge and skills one needs to be successful in school, work, and personal life (e.g., Collaborative for Academic, Social, and Emotional Learning – CASEL, 2020). SEL is a learning process and – as evidence from the science of learning and development would suggest – one that happens everywhere, both in and out of school. The science also suggests that young people and adults learn best in safe and supportive environments that are identity-safe and filled with developmentally rich relationships (Science of Learning and Development Alliance, n.d.). These finds highlight the importance of meaningful, intentional, and inclusive SEL practice that is grounded in equity and cultural competence. This has historically been the approach out-of-school time (OST) educators have taken to expanding learning opportunities for young people and these practices continue to evolve as the OST field moves toward more intentional SEL practice. OST practitioners are looking to the evidence, many of whom are doing so by partnering with researchers to reexamine and bolster their SEL practices. In this chapter, we explore why and how researcher–practitioner partnerships can foster equitable SEL in OST.

Populism is one of the main symptoms of the contemporary crisis in Europe. How can the rise of populism best be understood? Whereas existing analyses predominantly utilise rationalist and behaviouralist approaches and focus on political, economic and cultural interests, this contribution proposes a different approach. The author focusses on affects and emotions. The author shows that where other parties or political movements opt for rational and dispassionate debates on merits of political programmes, populists instead offer, invoke and respond to strong emotions across multiple political settings. Emotions feed and propel populism in its bid for power by forming collective identities through the clustering of love for ‘us’ and hate for the ‘other’.

Ontological Security Theory (OST) is used here as a framework for understanding populist behaviour in the sphere of security perception, identification and community-building. In recent debates, OST has been used because it allows the motives for certain behaviours to be located in the need to maintain or recreate positive identity constructed via biographical narratives. OST suggests that any lack of narrative continuity regarding the shape of the self-images for both individual and collective identities will therefore constitute a source of ontological threat; the lack of a sense of security. In this contribution, the author uses the examples of populist policies and discourses in Hungary and Poland that illustrate this dynamic to analyse the past- and future-oriented collective identifications underpinning the recent rise of populism in Europe.

This study aims to investigate the impact of psychological contract fulfillment (PCF; independent) on organizational citizenship behavior (OCB; dependent) with perceived organizational support (POS) playing a partial mediating role.

Quantitative methodology has been adopted to achieve the aim of this study, and data were collected via a questionnaire through an employee–supervisor/colleague dyad. Various five- and four-star hotel staff members in Pakistan were the target population, eliciting a recorded sample of 418 employees and 105 supervisors/colleagues.

The study revealed that PCF has a positive impact on POS and OCB. The partial mediating role of POS between the dependent and independent variables was also confirmed.

Among the implications, a novel theoretical underpinning of organizational support theory (OST) was established in psychological contract literature in addition to the social exchange theory (SET). Similarly, the mediating mechanism of POS was also validated, thereby offering an additional extension in psychological contract literature. Among the limitations, the cross-sectional nature of data and testing of a single mediating path between independent and dependent variables can be noted.

Alternative theoretical underpinning, that is, the usage of OST, the partial mediating role of POS and the study settings, i.e. evidence from the hotel industry from a developing country, are novel contributions of this study.