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The purpose of this paper is to link two modes of governance (transactional and transformational) to organizational learning by examining the example of academic teaching. Consequently, the “transformational” strategies of best practices that have been used by German universities to achieve teaching excellence are interpreted as double-loop learning. In delineating two exemplary cases of double-loop learning concerning the university-wide implementation of a new teaching formats as part their institutional strategies to develop teaching excellence, the authors want to answer the following research question: Which kind of governance is required to manage double-loop learning processes?

The purposive sample comprised four universities that had won awards for their teaching excellence. In 2014, a total of 21 semi-structured expert interviews were conducted in these universities within the following status groups: members of the rectorate, full professors, and university management professionals. The coding procedure followed a directed content analysis.

Both forms of governance are required for the management of double-loop learning. In the case of a top-down instigation of organizational learning, transformational governance is especially required in terms of idealized influence and inspirational motivation. In the case of a more bottom-up trigger of organizational learning, intellectual stimulation becomes more important. Transactional governance is required for the university-wide implementation of new routines (e.g. a mandatory quality management tool, obligatory coaching for newly appointed professors or competitive teaching grants).

This paper contributes to the empirical research on organizational learning in higher education institutions by adding a governance perspective.

The rise of new information and communication technologies forms the cornerstone for the future development of work. The term Industry 4.0 refers to the vision of a fourth industrial revolution that is based on a network of autonomous, self-controlling, self-configuring, knowledge-based, sensor-based and spatially distributed production resources. All in all, different forms of the application of the Industry 4.0 concept can be observed, ranging from autonomous logistic transport systems drawn upon the idea of swarm intelligence to smart knowledge management systems. This paper aims to develop a theoretical framework to analyze different applications of Industry 4.0 on an organizing continuum. The general research questions are: What forms of organizing digitalized work lead to the reproduction of routines, and what forms foster innovation within Industry 4.0? The authors thus analyze the consequences of different forms of organizing work on workers’ perceptions and the results of the working process.

This paper provides case studies for different stages of the organizing continuum in the context of Industry 4.0. The cases and a further analysis of all 295 funded projects are based on the Platform Industry 4.0 Map, which is part of the Industry 4.0 initiative of the German Federal Ministry of Economic Affairs and Energy and the German Federal Ministry of Education and Research. The consequences for people acting in such organizational and digitally supported structures are discussed.

A variety of applications of Industry 4.0 can be found. These applications mainly vary in the dimensions of the degree of formalization, the location of control authority, the location of knowledge and the degree of professionalization. At the right side of the organizing continuum, the digitalization organizes a work environment that supports highly qualified humans. They have broad leeway and a high degree of autonomy to design and create innovative forms of digitalization for tomorrow. At the left side of the organizing continuum, Industry 4.0 structures a work environment with narrow leeway, a low degree of autonomy and a top-down structure of control authority predetermined by digital applications. In this case, employees fill the gaps the machines cannot handle.

As the paper focuses on Industry 4.0 developments in Germany, the comparability with regard to other countries is limited. Moreover, the methodological approach is explorative, and broader quantitative verification is required. Specifically, future research could include quantitative methods to investigate the employees’ perspective on Industry 4.0. A comparison of Industry 4.0 applications in different countries would be another interesting option for further research.

This paper shows that applications of Industry 4.0 are currently at a very early stage of development and momentarily organize more routines than innovations. From a practical point of view, professional vocational and academic training will be a key factor for the successful implementation of digitalization in future. A joint venture of industry and educational institutions could be a suitable way to meet the growing demand for qualified employees from the middle to the right-hand of the organizing continuum in the context of Industry 4.0.

Industry 4.0 is designed by men, and therefore, humans are responsible for whether the future work situation will be perceived as supportive or as an alienated routine. Therefore, designers of Industry 4.0, as well as politicians and scientists, absolutely must take the underlying outcomes of digitalized work into account and must jointly find socially acceptable solutions.

This paper provides a promising avenue for future research on Industry 4.0 by analyzing the underlying organizational structures of digital systems and their consequences for employees. Moreover, the paper shows how Industry 4.0 should be organized to simply reproduce routines or to support innovation.

The aim of this paper is to link two sides of knowledge transfer (obtaining and providing knowledge), represented by the interplay between experts and novices, possibilities of technical support, and individual and organizational outcomes. An heuristic is developed to link up these different aspects and focus on practical application of some of them; the authors seek to answer the following research question: how can the organization support activities that would encourage knowledge transfer between novices and experts?

The authors used interviews, document collection, and observations on‐site to gain insights into knowledge management and e‐learning activities at Lufthansa, a German airline company, beginning in 2004, with the first qualitative investigation, in the form of telephone interviews. Over the following six years, the authors followed up with archival analysis and in 2010 conducted interviews with four experts who are responsible for knowledge management and e‐learning at the group level at Lufthansa. All interviews were recorded, transcribed and coded, then a qualitative content analysis was conducted. The interviews were complemented by several demonstrations of the system during a visit on‐site.

Every person can be simultaneously a novice and an expert in different fields of knowledge. Novices and experts need organizational leeway which allows time for creating “knowledge nuggets” (providing knowledge) and for learning (obtaining knowledge). The Lufthansa example shows that organizational leeway, the convergence of e‐learning and knowledge management in the form of rapid e‐learning, and introduction of knowledge transfer methods that provide opportunities for employees to obtain and provide knowledge, i.e. practice knowledge transfer on the job.

The contribution of this paper is that the authors develop an heuristic, which explains technically supported knowledge transfer processes among novices and experts, and their individual and organizational outcomes. The heuristic helps to classify knowledge transfer processes and their outcomes.

The introduction of New Public Management in the German system of higher education raises issues of the academics’ motivation to do research and to teach. The purpose of this paper is to present evidence-based findings about contextual factors which influence intrinsic and related modes of internalized teaching motivation in German higher education institutions. The paper discusses parallels between internalized forms of motivation and public service motivation (PSM). In accordance with self-determination theory (SDT), the paper empirically tests factors which correlate with autonomous motivation to teach. The paper also addresses the issue of the crowding effect of intrinsic motivation by selective incentives.

The analyses are based on the data of two online surveys among German professors (n=2,061) representative for the population of state-governed universities. To test the theory-driven hypotheses the paper used multivariate regression analysis.

The results support the basic claims of the SDT that intrinsic teaching motivation is facilitated by social relatedness, competence, and partly by autonomy for German professors, too. If teaching is managed by objective agreements intrinsic motivation is significantly decreased.

The authors translated, reformulated, and applied the SDT framework to academic teaching. The analysis presents evidence that the management of autonomy-supportive work environmental factors is also superior to selective incentives in higher education institutions. The study on academic teaching motivation is a specific contribution to PSM research. Academic teaching in public higher education institutions is a service to the public.

In most of the literature, knowledge management is treated as a universal practice, which is transferable from one country or company to another. There are some empirical hints that this is not always the case. The main research question, which this paper aims to answer, is: Which cultural characteristics in Germany and Hong Kong influence knowledge transfer?

A qualitative and exploratory approach has been used to answer the research question. A series of 13 in‐depth interviews was conducted during April and May 2008 with experts from a range of various professional backgrounds in Hong Kong and Germany. Approaches of cultural characteristics are discussed and linked with the topic of knowledge transfer.

The findings show that knowledge transfer depends on national cultural characteristics which are power distance, performance orientation, in‐group collectivism, and uncertainty avoidance.

As the research was conducted in two countries only, the findings cannot be generalized. In addition the sample is limited to only 13 interviewees. Therefore, further and also quantitative research is necessary.

If companies introduce knowledge management systems in order to support worldwide knowledge transfer, national cultural characteristics have to be taken into account; it is not enough to provide only the technology.

Findings of cultural studies (e.g. GLOBE) and the approach of knowledge transfer are linked with each other. Moreover, empirical evidence is given for the cases Hong Kong and Germany.

The purpose of this paper is to develop a framework that systematically captures the ambiguity of different understandings about science, the university and its relation to society, while conceptualising sustainability. Following Corley and Gioia (2004, p. 174) on identity ambiguity and change, it seems pivotal to better understanding the ambiguity of sustainability in relation to academic cultures and university models to manage the transition more effectively.

The nature of this paper’s objectives as well as the wide thematic scope leads to the need of exploring a broad knowledge base. This was best addressed by an exploratory literature review with data collection from primary and secondary sources. The data was interpreted through a hermeneutic analysis and resulted in the inductive development of first categories and goals (further referred to as category development). In addition, a multi-method approach further adjusted the categories and raised their empirical validity and social robustness.

Implementing sustainability involves dealing with a double bound ambiguity due to organisational and individual identity reasons. Five fields of ambiguity were developed to systemise the conceptualisation of a sustainable university along contradictory understandings of science, the university and sustainability. These fields offer a framework to qualitatively assess the degree of sustainability in higher education institutions. Arguments for and against sustainability in universities have been categorised around five criteria and associated to the fields of ambiguity. The finding indicates that meaning in organisational change management for sustainability can be considered both, a potential driver and barrier for a sustainability transition in universities.

This paper exclusively focussed on the internal perspective and left aside any external factors that influence the sustainability transition, such as political measures to stimulate sustainability in higher education. In addition, the operational dimension of a sustainable university has been neglected, which is by all means a necessary and important aspect. The interrelation of the identified goals has not been discussed.

This paper focusses on the conceptualisation and understanding of sustainability within the institution, an often-forgotten but fundamental aspect of implementation. The fields of ambiguity are designed to be applied for assessing the “degree of maturity” of a sustainable university. The fields reveal the different understandings about the role, the mission and the governance of universities, stemming from competing preferences about goals and their assumed relations by various stakeholders of a higher education institutions. The five fields are not an attempt to resolve the hidden contradictions and tensions in a sustainability transition, but to state them clearly to anticipate resistances and conflicts that hinder the development of a shared understanding.

The purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.

This paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.

Dimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.

From theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.

Practitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.

This research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.

Industry 4.0 is one of the most emergent research topics attracting significant interest by researchers as well as practitioners. Many articles have been published with regards Industry 4.0; however, there is no research that clearly conceptualizes Industry 4.0 in the context of supply chain. This paper aims to propose the term “Supply Chain 4.0” together with a novel conceptual framework that captures the essence of Industry 4.0 within the supply chain context. As Industry 4.0 is inherently a revolution, and as revolutions are evolutionary, this research also aims to capture the evolution of Supply Chain 4.0 from maturity levels perspective to facilitate the formulation and development of Supply Chain 4.0 strategy.

Following a deductive research approach and a qualitative strategy, a systematic literature review (SLR) was adopted as the research method seeking to understand the relationships among supply chain, Industry 4.0 and maturity levels research. The three phases of the SLR process utilized are: planning, conducting and reporting. A concept-oriented technique was applied to the outputs of the SLR to obtain the key constructs that would facilitate the development of the conceptual Supply Chain 4.0 framework.

The SLR showed that there is limited research linking Industry 4.0 to supply chain. Nevertheless, it was possible to extract a set of thematic categories from the analysis of the articles which are referred to as constructs as they form the core of the conceptual Supply Chain 4.0 framework. These constructs are managerial and capability supporters, technology levers, processes performance requirements and strategic outcomes. Each of these constructs consists of a number of elements which are referred to as “dimensions” in this research and a total of 21 dimensions were identified during the SLR. The SLR also demonstrated that maturity propositions for Industry 4.0 are still embrionary and entirely missing in the context of supply chain. Hence, this research develops and proposes a maturity levels framework that is underpinned by the core constructs of Supply Chain 4.0 and the corresponding dimensions. As these proposed frameworks are conceptual, this research also identifies and proposes several research directions to help fortify the Supply Chain 4.0 concept.

This research argues that the frameworks are robust because the constructs and dimensions are grounded in the literature, thus demonstrating both theoretical and practical relevance and value. As Supply Chain 4.0 research is still in infancy, there is a range of open research questions suggested based on the frameworks that could serve as guides for researchers to further develop the Supply Chain 4.0 concept. Also, practitioners can use this framework to develop better understanding of Supply Chain 4.0 and be able to evaluate the maturity of their organizations. As the proposed frameworks are conceptual, they require further empirical research to validate them and obtain new insights.

The SLR demonstrated a clear gap in literature with regards to Industry 4.0 in the context of supply chain, and also in the context of Industry 4.0 maturity levels for supply chain. This research is unique as it formulates and introduces novel frameworks that close these gaps in literature. The value of this research lies in the fact that it makes significant contribution in terms of understanding of Supply Chain 4.0 with a clear set of constructs and dimensions that form Supply Chain 4.0, which provides the foundation for further work in this area.