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We argue that in order to address the contemporary challenges that organizations and societies are facing, the field of organization development (OD) requires frameworks and skills to focus on the eco-system as the level of analysis. In a world that has become economically, socially, and technologically highly connected, approaches that foster the optimization of specific actors in the eco-system, such as individual corporations, result in sub-optimization of the sustainability of the natural and social system because there is insufficient offset to the ego-centric purposes of the focal organization. We discuss the need for OD to broaden focus to deal with technological advances that enable new ways of organizing at the eco-system level, and to deal with the challenges to sustainable development. Case examples from healthcare and the agri-foods industry illustrate the kinds of development approaches that are required for the development of healthy eco-systems. We do not suggest fundamental changes in the identity of the field of organizational development. In fact, we demonstrate the need to dig deeply into the open systems and socio-technical roots of the field, and to translate the traditional values and approaches of OD to continue to be relevant in today’s dynamic interdependent world.

This study aims to compare and contrast the core organisational processes across high and low performing mental health providers in the English National Health Service (NHS).

A multiple case study qualitative design incorporating a full sample of low and high performing mental health providers.

This study suggests that the organisational approaches used to govern and manage mental health providers are associated with their performance, and the study’s findings give clues as to what areas might need attention. They include, but are not limited to: developing appropriate governance frameworks and organisational cultures, ensuring that staff across the organisation feel “psychologically safe” and able to speak up when they see things that are going wrong; a focus on enhancing quality of services rather than prioritising cost-reduction; investing in new technology and digital applications; and nurturing positive inter-organisational relationships across the local health economy.

Highlights considerable divergence in organisation and management practices that are associated with the performance of mental health trusts in the English NHS

In recent years a large number of studies have appeared on information systems (IS)/information technology (IT) outsourcing related issues but scattered in a number of distantly related publishing outlets which may hamper the use of such published resources and repetition of research conducted by various researchers. The purpose of this paper is to conduct a systematic survey of the literature pertaining to research on IS/IT outsourcing.

The research aim was accomplished by extracting information on a number of relevant variables by conducting a review of 315 articles on IS/IT outsourcing published between 1992 and 2008.

The analysis is presented by listing and illustrating subject category, journals, year of publications and country, frequently published authors, productive institutions, the trend of collaborative nature (co‐author analysis) of research, the impact/influence of published research; topics/research issues and utilised methods, and the challenges and limitations of existing research.

Results of this research may have implications for both private and public sector organizations interested in outsourcing IS/IT services and applications, and various stakeholders of academic publishing (namely, researchers, journal editors, reviewers and universities) research on IS/IT outsourcing.

The primary value of this paper lies in extending the understanding of evolution and patterns of outsourcing research.

The purpose of this study is to discuss the strategies to promote a culture of professional learning within an Australian academic library. As the COVID-19 experience has shown new and evolving roles require skills, knowledge and abilities that current library employees may not have trained for. One framework which supports continuous professional development and employee motivation is the concept of a learning organisation, where staff across all levels of the library acknowledge the value of continuous learning and autonomously engage in activities to keep their skills up to date and relevant.

The article is a case study of a three-year period of interventions and outcomes in an Australian academic library.

The strategies discussed provide insights for library managers and leaders about how organisational change can be incrementally embedded through clarity of purpose, aligned leadership, transparent processes, self-determination and social learning.

The case study examines a single institution.

The paper provides practical strategies and examples from the case study of one university library which has successful embedded workplace learning as a regular and accepted part of staff routines.

The study explores the readiness of government agencies to adopt artificial intelligence (AI) to improve the efficiency of disaster relief operations (DRO). For understanding the behavior of state-level and national-level government agencies involved in DRO, this study grounds its theoretical arguments on the civic voluntarism model (CVM) and the unified theory of acceptance and use of technology (UTAUT).

We collected the primary data for this study from government agencies involved in DRO in India. To test the proposed theoretical model, we administered an online survey questionnaire to 184 government agency employees. To test the hypotheses, we employed partial least squares structural equation modeling (PLS-SEM).

Our findings confirm that resources (time, money and skills) significantly influence the behavioral intentions related to the adoption of AI tools for DRO. Additionally, we identified that the behavioral intentions positively translate into the actual adoption of AI tools.

Our study provides a unique viewpoint suited to understand the context of the adoption of AI in a governmental context. Companies often strive to invest in state-of-the-art technologies, but it is important to understand how government bodies involved in DRO strategize to adopt AI to improve efficiency.

Our study offers a fresh perspective in understanding how the organizational culture and perspectives of government officials influence their inclinations to adopt AI for DRO. Additionally, it offers a multidimensional perspective by integrating the theoretical frameworks of CVM and UTAUT for a greater understanding of the adoption and deployment of AI tools with organizational culture and voluntariness as critical moderators.

The purpose of this paper is to provide guidance to SMEs to sense and seize digitally enabled growth opportunities as well as start a project-based learning process to transform the organization in order to remain competitive in turbulent environments.

The proposed framework is nurtured from a dynamic capabilities approach as well as from digital transformation studies and mitigates shortcomings of existing frameworks on IT-enabled business transformation. A pilot study has also been carried out for testing the proposed framework.

The results of the pilot study show that the framework is well understood by SME owners or managers and contributes to a comprehensive perception of digitalization challenges and potentials. The overall maturity level of the 52 companies analyzed is moderate. Firms are better at “sensing” than “seizing”, that is, at identifying digitally based growth opportunities than in profiting from them. The test of the proposed framework also contributes to its further adjustment and refinement.

The developed framework is useful for owners and managers of SMEs as a self-assessment of digital maturity. It sets a baseline regarding the current position and supports coordinated initiatives for digitally enabled growth.

Few frameworks regarding digital maturity have been developed. Most of them lack a sound theoretical foundation and are less suited to the needs of SMEs. There are few studies on digitalization in SMEs and they are not focussed on capabilities development but mostly on processes (Trung Pham 2010; Blatz et al., 2018; Mittal et al., 2018). Therefore, the originality of this paper is to propose a framework that allows SMEs to assess their digital maturity level and the capabilities associated with each level to enhance digitally enabled growth, contributing to expand the research on the relationship between dynamic capabilities and digitalization (Teece, 2017).

Digital transformation shapes industries and influences the forms of collaboration between companies. This study aims to investigate digital business strategy as a key to facilitating collaboration beyond organizational boundaries.

The study focuses on the connection between digital business strategy and collaboration performance. The authors identify five types of digital business strategy elements based on the literature: development, objectives, resources, management capabilities, and digital leadership. The authors then studied the implications of these elements for collaboration performance using a survey. The study’s empirical data were collected from manufacturing and service companies, and 202 valid responses were received. The implications of the research elements were tested through regression analysis, which included the moderating effects of digitally enabled performance measurement.

The theoretical research framework identifies digital business strategy as a key determinant of collaboration performance, thus advancing the understanding of how companies can utilize digital business strategies and achieve enhanced collaboration performance. The results also show that the effect of digital business strategy on collaboration performance may be moderated by digitally enabled performance management.

The results suggest that management capabilities associated with digital strategy are a crucial element in positively influencing collaboration performance. Further, digital strategy-related resources can be better managed with digitally enabled performance measurement system, which is reflected in improved collaborative performance. Thus, companies should invest in management capabilities and connect their digital business strategies and performance measurement systems to develop collaboration in digital transformation.

The study is among the first to translate an empirical understanding of the digital transformation of small and medium-sized companies into a conceptual framework of a digital business strategy.

This paper explores how education and training systems can support a digitally-enabled workforce for the Australian manufacturing sector.

The study is based on interviews with 17 sector-level manufacturing stakeholders from industry, government and education/training organisations. Semi-structured interviews were conducted to gain an in-depth understanding of how education and training systems currently support a digitally-enabled manufacturing workforce as well as opportunities for alternative configurations or developments.

Analysis revealed three themes reflecting core dimensions of a supportive education and training system: partnerships, pedagogy and prospects. Cooperative, integrated and sustained partnerships are needed between vocational education and training (VET) institutions, universities, government, industry, high schools and private training providers. Pedagogy emphasises the vital importance of infusing curriculum with digital and technology skills and capabilities, alongside innovative and experiential delivery modes including simulated environments, online learning, on-the-job training, flexible delivery and micro-credentials. Prospects reflects the need for forward-looking assessment and planning to respond to industry trends and develop associated qualifications, skills and investments required to meet future industry needs.

With growing demand for digitally-enabled skills to support manufacturing, an industry which is acknowledged as critical for economic prosperity and national sovereignty, the findings contribute novel insights into current limitations and future opportunities to bridge the gap between skills shortages in the manufacturing industry, and education and training systems that deliver graduate readiness and a digitally-enabled workforce.