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The purpose of this paper is to show the benefits of bridging the gap between supply chain management (SCM) and political philosophy to challenge the underlying assumptions about SCM concepts and open doors to novel theory building.

A thought experiment is conducted to illustrate how the two philosophers Niccolò Machiavelli and Jürgen Habermas would tackle sustainability issues in coffee supply chains from a research perspective. The thought experiment is carried out using data from 30 semi-structured interviews with actors from the coffee industry. Supplementing the thought experiment with empirical insights allows for a deeper understanding of supply chain dynamics and how these are impacted by the application of the philosophical viewpoints.

The research stresses the importance of SCM scholars being aware of the underlying assumptions of their research, as these have a remarkable impact on theory building. A combination of empirical insights and philosophical understandings makes it possible to reflect on the underlying concepts of SCM, providing suggestions for reimagining SCM.

The contribution of the research is twofold. First, the paper presents an original view on SCM, as the thought experiment is introduced as an approach to better understand SCM concepts. By challenging the underlying assumptions with political philosophy, researchers will be better equipped to address grand challenges in the twenty-first century. Second, this is exemplified by the case study of the coffee supply chain, which provides the reader with insight into the dynamics of supply chains with prevalent power differences.

Presents a critical review of the role of laboratory experiments in information systems research. In an attempt to highlight the issues raised by laboratory experiments, presents a thought experiment of such an experiment. The thought experiment indicates the problem of distinguishing between that which is done to complete the task and that which is done to complete the requirements of the experiment. Further develops an understanding of this problem by presenting the work of Heidegger, Merleau‐Ponty and others. From this discussion, shows that people develop styles for coping in the world that do not allow them to “break up” the world into discrete objects, events, persons, and so forth. Based on this discussion, argues that it is impossible for the observer as well as the observed to know whether their style of coping in the experiment is a style of coping with the world or a style of coping with the requirements and constraints of the experiment. From this discussion, concludes that most laboratory experiments in information systems research have neither internal nor external validity. As such, they should be actively discouraged.

The purpose of this paper is to make a small contribution to reflections on general methodology, not specific methods, in social science.

Systemic methodology.

First, schematic typology of six conceptual models. Second, typology for determining levels of abstraction for different models and degrees of generalisation. Third, typology for generalisation on the basis of a case study. Fourth, strategy for developing conceptual models.

Research falls into two main categories: conceptual generalisation and empirical generalisation. Conceptual generalisation is an investigation whereby the researcher uses other researchers’ empirical findings in conjunction with his or her own process of conceptualisation in order to generalise and identify a pattern. This contrasts with empirical generalisation, where the researcher investigates a phenomenon or problem that is apparent in the empirical data, and only thereafter generalises in the light of his or her own findings.

A low level of understanding of conceptual generalisation among masters and PhD students. With this paper the authors try to change this perception among students.

Developing a systemic methodology in order for students and university teachers to understand conceptual generalisations.

This chapter suggests that welfare management is becoming a matter of being able to use the open space in between formal roles, silos and organisations to actualise a not yet possible, qualitatively better welfare here and now. The discourse about the open-ended and futuristic space in between is challenging practices of welfare education. A growing field of studies is criticising the centres of education, learning and research for being a McDonald’s culture, with an overly linear approach, unable to connect passion, sensitivity and intuition with knowledge. This chapter goes further than criticising existing practices. Building on notions of affective studies, the aim is to experiment on how to shift the focus from thinking about open spaces to intensifying thinking-spaces, able to generate the processual relations increasing the opportunity for a qualitative better welfare to occur here and now.

The object of the chapter is an experiment entitled The Future Public Leadership Education Now. It is based on non-representational studies and designed to operate on the affective registers.

The chapter offers a theoretical and pragmatic wandering as wondering. It continues and expands the experiment as an ongoing thinking-spaces moving between the known and the unknown. It aims at gently opening the opportunity for a qualitatively better welfare to occur.

Researchers become welfare artists intensifying affective co-motions as ongoing and form-shifting processes.

To construct, from Bateson's social ideas ranging from Naven to the 1979 Mind and Nature, a Batesonian sociocybernetics.

The paper considers Bateson's ideas about the delineation of systems by the observer, as they were taught to his classes in the 1970s and as they were expressed in the so‐called first, 1936 Epilogue to Naven, and shows how these ideas led Bateson to a skeptical, anti‐reificationist social cybernetics.

Bateson de‐emphasized system boundaries, instead seeing systems as creations of the observer and as arbitrary cuttings of a continuous web of cybernetic processes.

Bateson's argument in Naven, a work originally published in 1936 and partially based in a sociological tradition which also forms some of the roots of Luhmann's thought, is surprisingly relevant to contemporary issues in second‐order cybernetics and sociocybernetics.

Bateson's skepticism about reification, and emphasis on the observer's role in the construction of system boundaries, can point a way for sociocybernetics to address those cybernetic systems which do not fit Luhmann's or Maturana's strict criteria for autopoiesis.

This paper attempts to show the sophistication and relevance of Bateson's social thinking to the field of sociocybernetics.

A new expression of the panorama of pansystems relativity is stated. Some modes and related principles or applications are developed. Concrete contents include: new forms of the framework 784e of pansystems theory and its connections with relativity. The paper introduces eight classes of relativity topics, and further research presents many new models of pansystems relativity such as: 23456R, super‐23456R, SSOS, SOMERQ, pansystems dialectics, clustering quotient, field‐net, meta‐topology, image‐boundary, cognition and practice, thinking experiment, etc. These modes present some new understanding to systems, society, methodology, epistemology, wisdom, psychology, hi‐tech, paradox, anthropology, ego, literature, arts, poetics and aesthetics, etc. There are 60 or more related references listed in the paper.

The purpose of this paper is to address the possible future evolution of innovation from a human-only initiative, to human–machine co-innovation, to autonomous machine innovation and to arrive at a conceptual mind model that outlines the role of innovation regimes and innovation agents.

This is a concept paper where a theoretical “thought experiment” is done, using future thinking principles and data that originate from the literature.

A conceptual mind model is developed to facilitate a better understanding of complexity at the edge of innovation where intelligent machines will emerge as innovators of the cyber world. It was found that innovation will gradually evolve from a human-only activity, to human–machine co-innovation, to incidences of autonomous machine innovation, based on the growth of machine intelligence and the adoption of human–machine partnership management models in future.

Very little information is available in the literature on intelligent machines doing innovation. The work is based on a theoretical approach that presents new concepts to be debated, but have not been tested in engineering and technology management practice, except for a conference presentation and academic discussion.

The current world view is that future “smartness” is only possible through the creative abilities that humans have, but as machines are entering the workplace and our daily lives, not only as static robots on a manufacturing line, but as intelligent systems with the potential to replace lawyers and accountants, doctors and teachers, companions and partners, their role in innovation in complex environments needs to be explored.

Human–machine interaction is often an emotional social issue of concern in terms of the replacement of human intelligence with machine intelligence. It should be asked whether humans will or should remain in control of innovation? Artificial intelligence (AI) may complement and even substitute human intelligence, but huge value is embedded in the new goods, services and innovations AI will enable, especially in manufacturing, where value embedded in the project becomes complex and dynamic.

The thinking presented in this paper is original and should lead to debate to question the way innovation systems will work in future and inspires thinking about AI and innovation.

This paper aims to understand user information behaviours when they perform multilingual information retrieval. It also offers reference for the development of multilingual information retrieval systems and relevant service platforms.

The authors designed an experiment on multilingual information retrieval with WorldWideScience, utilized Camtasia studio7 (a screen capturing and recording tool) to record overall operational processes of subjects and collected participants’ thought processes with think-aloud protocols. Meanwhile, a questionnaire survey and interviews were used to examine the subjects’ background information, their feelings for the experiment and their ideas about the experimental platform, respectively. Thirty-two valid data points were obtained by 41 subjects.

The users preferred their own language for retrieval. Most users from social science chose general search or advanced search freely according to the tasks. The majority of the participants selected key words directly from the tasks as search terms. Doctoral candidates were more likely to construct a search query with logic symbols. Translation tools were utilized for assisting retrieval and solving doubts of translation. When facing obstacles, users stayed on the original web page to explore continually, followed by back to homepage.

This paper provides a study of user behaviour through investigating how users behave on the whole process of retrieving multilingual information. The findings offer advice for optimizing the function of multilingual information retrieval systems and service platforms.

The purpose of this paper is to present a preliminary analysis of age and gender across a number of questions asked in a survey of ethical attitudes of professionals in the information and communication technology (ICT) industry in Australia. While a large number of demographic questions regarding ethics and regulation, only those concerning age and gender are examined here.

An online survey was conducted of the ICT workplace in Australia. The results were analyzed using SPSS.

There are some significant differences across the generations as well between the genders. Gen Y is different when compared to the others on how important ethical regulations ought to be. Gen Y thinks that ethical regulations ought to be less important. When gender was examined it was clear that males thought that ethical regulations ought to be significantly less important when compared with what females thought.

While a larger sample size was desired, the consistency of the replies, when compared against a number of comparative populations, indicated that the replies we received were representative of the ICT workforce.

This paper raises many issues that demand greater care and attention be given when constructing new models of governing ethics within the Australian ICT workplace.

The history of cybernetics holds important lessons for how we approach present-day problems in such areas as algorithmic regulation and big data. The purpose of this paper is to position Project Cybersyn as a historical form of algorithmic regulation and use this historical case study as a thought experiment for thinking about ways to improve discussions of algorithmic regulation and big data today.

The paper draws from the author’s extensive research on Cybersyn’s history to build an argument for how cybernetic history can enrich current discussions on algorithmic regulation and the use of big data for governance.

The paper identifies five lessons from the Cybersyn history that point to current data challenges and suggests a way forward. These lessons are: first, the state matters; second, older technologies have value; third, privacy protection prevents abuse and preserves human freedom; fourth, algorithmic transparency is important; and finally, thinking in terms of socio-technical systems instead of technology fixes results in better uses of technology.

Project Cybersyn was a computer network built by the socialist government of Salvador Allende under the supervision of the British cybernetician Stafford Beer. It formed part of the government’s program for economic nationalization. Work on the project ended when a military coup brought the Allende government to an early end on September 11, 1973. Since we do not know how the system would have functioned in the long term, parts of the argument are necessarily speculative.

The paper uses Cybersyn’s history to suggest ways that the Chilean experience with cybernetic thinking might enhance, improve, and highlight shortcomings in current discussions of algorithmic regulation.

The paper provides an original argument that connects one of the most ambitious cybernetic projects in history to present day technological challenges in the area of algorithmic regulation.