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The purpose of this study is to examine how different innovation efforts can support multinational enterprises’ (MNEs’) pursuits of sustainable development goals (SDGs) in emerging markets and under what circumstances they are applied.

The article comprises in-depth case studies on two high-profile Swedish MNEs: a telecom firm and a fast-fashion firm, with data collected both at the headquarter-level and local-market level.

The study shows that MNEs pursue a selection of prioritized SDGs in emerging markets. To overcome challenges related to attaining these goals, we find that MNEs engage in innovation efforts at different levels of commitment. In some instances, they engage in operational innovation aimed at relieving symptoms of sustainability misconduct and ensuring compliance. In other instances, they engage in systemic innovation efforts, which involve the actual market structures underlying sustainability problems.

MNEs are increasingly incorporating the United Nations SDGs into their innovation strategies. The study contributes to international business research on MNEs’ roles in realizing the SDGs by conceptualizing and discussing two pertinent approaches to innovation.

This research aims to investigate the impact of psychosocial safety climate (PSC) on employee quitting intention (QI) and organizational citizenship behavior (OCB), considering the moderating effects of workload and organizational training.

The research adopts a cross-sectional approach, involving 151 employees from the apparel manufacturing industry in Bangladesh who participated in the survey. Data analysis is conducted using SmartPLS.

The study reveals that PSC contributes to prolonged employee tenure and fosters positive organizational citizenship behavior. Workload and organizational training play significant moderating roles, influencing the negative and positive effects of PSC on QI and OCB, respectively.

While the PSC model has been studied, there are ample opportunities to enhance and validate theoretical models exploring the moderating impact of job demands and resources on PSC-outcome relationships.

This study serves as an exploration of the influence of working conditions on the outcomes of PSC within the context of the manufacturing industry in a non-Western developing country like Bangladesh. Moreover, it looks into the moderating roles of workload and organizational training to extend the PSC model.

This study examines the effect of the spiritual leadership of the leaders in a consulting team on psychological safety climate and team innovation. Moreover, our research adopts the contingency theory of leadership to investigate whether the effect of spiritual leadership on psychological safety climate and team innovation could be moderated by personal characteristics of team members in terms of occupational self-efficacy.

Survey data were obtained from 229 team members across 24 consulting firms in Bangkok. To minimize common method bias, team innovation was assessed by team leaders while other variables were assessed by team members. We used Partial Least Squares Structural Equation Modeling to analyze the data.

The analysis supports the positive effect of spiritual leadership on psychological safety climate and team innovation. Psychological safety climate also mediates the effect of spiritual leadership on team innovation. Lastly, the moderating effect analysis shows that the spiritual leadership of the team leaders exerts a weaker influence on the psychological safety climate and team innovation when team members exhibit high levels of occupational self-efficacy.

Because spiritual leadership plays a significant role in boosting team innovation through the creation of a psychologically safe climate, the consulting firms can provide a leadership development program to help their team leaders to gain insight into the nature of spiritual leadership and learn how to demonstrate appropriate behaviors when they supervise a team. In particular, this policy recommendation is highly relevant when team leaders supervise members who exhibit low occupational self-efficacy.

Our findings not only illustrate that spiritual leadership could enhance team innovation through the mediating role of psychological safety climate, but the level of occupational self-efficacy of the team members could significantly reduce the effects of spiritual leadership on psychological safety climate and team innovation.

The article highlights the value of adopting an experimental strategy for artificial intelligence (AI) adoption in libraries, with a specific focus on the University of Toronto (UofT) libraries as a case study. The experimental approach entails carrying out small-scale, effective, quick, and reversible experiments to increase awareness, reduce risks with adoption of incorrect, ineffective, or full-scale adoption; increase flexibility in adopting new technologies in the rapidly evolving AI industry; and increase open-mindedness to consider diverse perspectives even though they go against one’s held perceptions, and develop dynamic capabilities to innovate. To fully realize the revolutionary potential of AI technologies in libraries, it is crucial to adopt new technologies strategically, driven by experimentation, collaboration, and knowledge sharing.

Mixed-model research involving case study of UofT libraries and the author’s professional experiences in digitally transforming libraries is used to answer the research question. AI is an emerging area and hence its applications in libraries. Leveraging the author’s professional and research expertise, the findings from the case study are enriched, offering broader perspectives and more nuanced implications.

Libraries can recognize emerging opportunities, adapt to the shifting AI landscape, and effectively exploit AI technologies because of the development of dynamic capabilities and a focus on innovation. The UofT instance sheds light on the experimental strategy and acts as a lens to comprehend how to strategically think about the complete AI spectrum rather than keeping an eye on a few technologies that otherwise might just be overhyped in media outlets. A mix of centralization and decentralization of AI technology adoption experimentation is evident at UOT, where any librarian is free to test out a new tool and share their findings with their peers in the expectation that other libraries will embrace it as well. The reverse scenario is also conceivable (top management to individual libraries). UofT’s culture fosters collaboration and knowledge-sharing among librarians, promoting experimentation and innovation. Cocreation with patrons, including student entrepreneurs, enhances dynamic capabilities and informs rational adoption decisions. Looking at the results, some future research directions emerge that could strengthen the library’s focus on AI. The future research directions indicate the need for further investigation into experiment design, particularly focusing on experimentation policies, monitoring and evaluation of experimentation activities, and fostering greater collaboration with patrons. Additionally, exploring AI adoption factors at both organizational and individual levels is essential to create a supportive environment for these experiments. Conducting continuous AI experiments enables librarians to critically assess AI technologies by leveraging their experiences with various applications, allowing them to distinguish practical solutions from market hype and concentrate on options that truly enhance their library operations.

The article contributes to the knowledge of strategic AI technology adoption and the role of experimentation in libraries’ adoption of AI technologies. This paper offers practical guidance for libraries of all sizes and resource levels seeking to experiment with AI technologies. It encourages the creation of a collaborative environment where patrons and peers can come together to experiment and share knowledge. Additionally, it encourages libraries to explore various research directions—such as defining experimentation policies, integrating monitoring and evaluation (M&E) to assess the effectiveness of experiments, fostering collaboration, and leveraging AI adoption factors—to cultivate a culture of experimentation. This approach aims to increase the number of experiments and, consequently, the adoption of valuable AI technologies.

AI in libraries is rapidly evolving, but current literature remains underdeveloped and lacks comprehensive adoption frameworks. Investigating individual libraries’ AI practices and sharing these insights will enable collaborative learning, helping them improve overall adoption process, fostering further innovation with emerging technologies, and helping in development of a theoretical foundation or maturity of AI domain. The research outcomes hold significant value for a wide range of libraries, from those hesitant to adopt AI due to ethical concerns to those actively experimenting with AI technologies. The article uniquely recommends further research at the intersection of library AI-driven digital transformations, cocreation, monitoring and evaluation (M&E), adoption models, and AI experimentation policies that ethically balances library innovation focus and data privacies.

The growing literature does not highlight the impact of high-performance work systems (HPWSs) on employee psychological well-being. This study aimed to test this influence by exploring the mediation of psychosocial safety and the moderation of supervisor support to overcome knowledge gaps in optimizing productivity in an increasingly dynamic workplace.

This study involved 395 service employees in Indonesia. Data were analyzed using the PROCESS macro approach.

The research findings indicate that while HPWS are perceived as organizational investments by employees, they do not directly impact employees’ psychological well-being in the service sector in Indonesia. Despite previous literature suggesting a positive relationship, this study emphasizes the importance of considering factors such as psychosocial safety and supervisor support in influencing employee perceptions.

This study extends the existing literature on the mechanisms of HPWS in promoting psychological well-being in the workplace. Furthermore, Psychological safety has also been identified as a strategic approach to reduce workplace bullying.

Organizations should prioritize creating a work environment that considers psychosocial safety and provides adequate supervisor support to enhance employees’ psychological well-being. Understanding the unique needs and perceptions of employees, including factors such as age and gender, is crucial in designing effective HPWS that foster a positive workplace culture and mitigate potential negative impacts.

The authors seek to explore the not yet fully understood relationship between HPWS, psychosocial safety, and supervisor support in promoting employee psychological well-being. This research also provides a broader view of how to prevent employees from feeling pressured and stressed in the workplace.

The additive manufacturing process, such as fused filament fabrication based on material extrusion, fabricates the samples layer-by-layer. The various parameters in the process significantly affect the dimensions, structure and mechanical properties of the fabricated parts. The purpose of this paper is to investigate the surface and mechanical properties that can affect the contact characteristics with other materials during tribological tests.

The investigation of 3D-printed Polyetheretherketone (PEEK) includes the measurement of dimensions, microhardness, surface roughness, surface energy and tensile strength to define material characteristics. The crystallinity is measured using an X-ray diffractometer to understand the hardness behaviour.

The printing parameters affect its surface roughness, hardness and crystallinity. This change in parameters such as layer thickness and infill density impacts mechanical properties such as hardness and surface roughness, which will influence the contact mechanism with the counter body during any tribological test. The change in a single parameter during the sample fabrication and the change in the surface and mechanical properties are observed.

The material cost plays an important role in conducting numerous destructive tests, which is a major limitation to conducting parameter optimisation by varying more parameters. The study is limited to the as-fabricated samples rather than finished samples and without any heat treatment. Achieving optimal parameters is integral to the success of additive manufacturing, ensuring the production of components with consistent performance.

The study aims at the application of 3D-printed PEEK for bush or journal bearings that can be directly used in practice. The mechanical properties discussed in this paper can fill the gap between theory and practice.

The research provides all fundamental properties, including the printing parameters and their effect on the dimensions and surface structure, which are required to understand the material and its use. The results are consistent as at least four samples were tested for tribological behaviour. The conclusion is updated as per suggestions.

The study outlines the relationship between the change in layer thickness and infill density with changes in surface energy, surface roughness, hardness and tensile strength. The deformation and adhesion during the friction test depend on these properties.