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The purpose of this paper is to increase the understanding regarding how managers attempt to make purposeful use of innovation management self-assessments (IMSA) and performance information (PI).

An interpretative perspective on purposeful use is used as an analytical framework, and the paper is based on empirical material from two research projects exploring the use of IMSA and PI in three case companies. Based on the empirical data, consisting of interviews and observations of workshops and project meetings, qualitative content analysis has been conducted.

The findings of this paper indicate that how managers achieve a purposeful use of PI is related to their approach toward how to use the specific PI at hand, and two basic approaches are analytically separated: a rule-based approach and a reflective approach. Consequently, whether or not the right thing is being measured also becomes a question of how the PI is actually being interpreted and used. Thus, the extensive focus on what to measure and how to measure it becomes edgeless unless equal attention is given to how managers are able to use the PI to make knowledgeable decisions regarding what actions to take to achieve the desired changes.

Given the results, it comes with a managerial responsibility to make sure that all managers who are supposed to be engaged in using the PI are given roles in the self-assessments that are aligned with the level of knowledge they possess, or can access.

How managers purposefully use PI is a key to understand the potential impact of self-assessments.

Although the leadership training and development industry generates billions of dollars each year, some countries lag behind. This article explores one program’s attempt to expand leadership training and development opportunities in Nicaragua. The Leadership Trainer Certification Program (LTCP) is designed to prepare those who are responsible for the leadership development of others with the knowledge, skills, and facilitation techniques to effectively train others in leadership. In this article, we detail qualitative narrative data from one participant’s experience to share how he translated his learning into his leadership training and development practice. This article illuminates how leadership train-the-trainer programming can re-shape the leadership landscape, especially in places like Nicaragua and throughout the Global South.

Research into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote the benefits of explainability or criticize it due to its counterproductive effects. This study addresses this polarized space and aims to identify opposing effects of the explainability of AI and the tensions between them and propose how to manage this tension to optimize AI system performance and trustworthiness.

The author systematically reviews the literature and synthesizes it using a contingency theory lens to develop a framework for managing the opposing effects of AI explainability.

The author finds five opposing effects of explainability: comprehensibility, conduct, confidentiality, completeness and confidence in AI (5Cs). The author also proposes six perspectives on managing the tensions between the 5Cs: pragmatism in explanation, contextualization of the explanation, cohabitation of human agency and AI agency, metrics and standardization, regulatory and ethical principles, and other emerging solutions (i.e. AI enveloping, blockchain and AI fuzzy systems).

As in other systematic literature review studies, the results are limited by the content of the selected papers.

The findings show how AI owners and developers can manage tensions between profitability, prediction accuracy and system performance via visibility, accountability and maintaining the “social goodness” of AI. The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.

This study addresses polarized beliefs amongst scholars and practitioners about the benefits of AI explainability versus its counterproductive effects. It poses that there is no single best way to maximize AI explainability. Instead, the co-existence of enabling and constraining effects must be managed.

Following the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas.

The authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended guidelines for systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

The results of the authors’ review confirmed the assumption that AIG is an emerging research topic with few explicit definitions. Moreover, the authors’ review identified four themes in the AIG literature: technology, stakeholders and context, regulation and processes. The central knowledge gaps revealed were the limited understanding of AIG implementation, lack of attention to the AIG context, uncertain effectiveness of ethical principles and regulation, and insufficient operationalization of AIG processes. To address these gaps, the authors present four future AIG agendas: technical, stakeholder and contextual, regulatory, and process. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

To address the identified knowledge gaps, the authors present the following working definition of AIG: AI governance is a system of rules, practices and processes employed to ensure an organization's use of AI technologies aligns with its strategies, objectives, and values, complete with legal requirements, ethical principles and the requirements set by stakeholders. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

For society, the authors review elucidates the multitude of stakeholders involved in AI governance activities and complexities related to balancing the needs of different stakeholders.

By delineating the AIG concept and the associated research themes, knowledge gaps and future agendas, the authors review builds a foundation for organizational AIG research, calling for broad contextual investigations and a deep understanding of AIG mechanisms. For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

This study aims to build on social capital theory (SCT) and its dimensions by examining the role of social capital in the public procurement process and by identifying related contingencies that may influence procurement performance.

A systematic literature review and a thematic analysis regarding social capital in procurement are conducted. The antecedent–behaviour–consequence (ABC) model is used for illuminating linkages between social capital, contingencies and procurement performance.

The dimensions of social capital are investigated in the procurement process; however, the extent of social capital role can vary between the phases of the process. It is concluded that the contingencies of social dynamics are linked with social capital and may influence the outcomes and performance of the procurement process.

Social capital can ease interactions between public buyers and private suppliers by contributing to effective tendering, improving social interaction in negotiations and balancing rigidity in contract management, supporting the interests of both parties. The provided framework helps decision makers to comprehend the social dynamics in public procurement.

Improving social dynamics and solutions in public procurement.

This study extends social capital research in the field of public procurement and creates a framework connecting social capital and prevailing contingency factors to procurement process performance.

Single-party regimes increasingly use Subnational Performance Assessments (SPAs) – rankings of provinces and districts – to improve governance outcomes. SPAs assemble and publicize information on local government performance to facilitate monitoring and generate competition among officials. However, the evidence are sparse on their effects in this context. The authors argue that built-in incentive structures in centralized single-party regimes distort the positive impact of SPAs.

The staggered rollout of the Vietnam Provincial Governance and Public Administration Performance Index (PAPI) created a natural experiment. Due to 2010 budget constraints, the first iteration of the PAPI survey covered only 30 of Vietnam’s 63 provinces before covering all in 2011. The PAPI team used matching procedures to identify a statistical twin for each province before randomly selecting one from each pair. The authors use randomization inference to compare the outcomes of these control and treatment groups in 2011.

Exposure to PAPI helped improve almost all aspects of governance; however, significant evidence of prioritization bias exist. The positive effects only persisted for the dimension of administrative procedures, which was the one area of governance that was prioritized by the central government at the time. Other dimensions only registered short-term effects.

Our study provides an examination of the impact of SPAs in a single-party regime context. In addition, the authors leverage the natural experiment to identify information effects causally. The authors also look past short-term effects to compare outcomes for five years after the treatment occurred.

This qualitative study explores how multinational enterprises (MNEs) approach sustainable innovation through the lens of innovation theory and doughnut economics. The study proposes a conceptual framework to evaluate the practices of businesses and the findings illustrate how sustainable innovation occurs within two MNEs. Based on interviews with professionals of two Swedish MNEs, responsible for sustainability, the study examines how sustainable innovations lead to the redesign of core business pillars and transforms the operating market for the MNE. Overall, this study makes a theoretical contribution by formulating an application of Raworth’s (2017) doughnut model to business strategy. It also provides practical insight into the dynamics of sustainable innovation, which aims to inform and inspire further progress in sustainable development by businesses and academia.

Higher education and its leadership are not yet using their potential impact for a sustainable future. This paper aims to focus on UN developments and the long history of university involvement in sustainability might create more interest and understanding that sustainably oriented universities are actually possible and a much stronger role for higher education is needed when nations are discussing their future.

Literature review with a focus on international treaties and declarations on the UN level and international university networks, literature review of the background and potential of the whole-institution approach and the need/suggestions for further research, also to measure advancement.

History shows a strong engagement of higher education with sustainability from its beginnings. There have been strong calls/offers from within university networks to take a crucial role in moving towards sustainable development that involves more than teaching about sustainability. The international community calls for higher education to be involved in policymaking rather than simply implementation, have been limited and the full potential of higher education institutions using all opportunities such as being living labs for sustainability has not as yet been realized. Currently, calls for engagement are often still limited to training and providing research when scientific evidence is wanted.

Literature review focused on UN level treaties/declarations English- and German-language review national developments limited to samples of members of the Sustainable Development Goal (SDG) 4 subcluster in the Higher Education and Research for Sustainable Development (HESD) Global Cluster by the International Association of Universities (IAU).

Guidance for university leaders and other stakeholders to become aware of and consider a whole-institution approach. Practitioner relevance as countries is encouraged to embed UN recommendations, treaties and declarations. Defining opportunities for further research. Presenting the HESD Cluster by the IAU as a sample for new approaches of higher education to interact with the SDGs.

Strengthening the role of higher education in the pursuit of a better future would focus on science and research as a neutral basis for decision-making and policy development. Sustainability embedded in all streams of university can help universities to be a practical example of the possibilities of sustainability at work.

Composition of authors with UN background and involvement. Focus on UN treaties/declarations and guidance for academics and practitioners in leadership on adopted UN and other international documents. Summarizing the background of the whole-institution approach as a genuine development over time but including limitations and implications for future roles for higher education leadership. IAU SDG 4 Subcluster is unique in its own approach and with its connections to a global network of higher education institutions and UNESCO.

This viewpoint paper addresses the use of sustainability frameworks in embedding education for sustainability into the curriculum of higher education institutions (HEIs). The purpose of this paper is to explore the paradox that sustainability frameworks must facilitate transformation of existing structures whilst also being well-enough aligned with current conditions to be readily adopted by today’s HEIs.

This paper proposes a set of four criteria for assessing the suitability of sustainability frameworks for use across the curriculum: relevance to current curricula, language, institutional fit and concept of the future. Using these criteria, this paper assesses how various frameworks align with the current (unsustainable) state of affairs and their transformative potential. The frameworks assessed are: the sustainable development goals (SDGs), the three pillars framework and the capitals approach.

This paper finds that each of the frameworks has strengths and weaknesses: the SDGs and the capitals approach perform well on alignment but less well on transformational criteria. Conversely, the three pillars framework performs well on transformation criteria but less well on alignment criteria. By applying the criteria set out in this paper, the authors hope those working to embed sustainability into the curricula of HEIs will be better equipped to navigate the tensions presented by sustainability transitions.

Using a novel set of criteria for assessing sustainability frameworks, this paper provides guidance that was previously lacking in education for sustainability professionals who are attempting to embed sustainability into the curriculum at HEIs.