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Illustrate supported by Beer’s Viable System Model and four vignettes the relevance of self-organisation, recursive structures, self-reference and reflexivity in policy processes. The paper aims to discuss these issues.

First, the concepts of self-organisation, recursive structures, self-reference and reflexivity are briefly discussed to ground policy processes in good cybernetics. Then, with the support of four vignettes, the idea of good cybernetics in policy processes is illustrated.

The cybernetics of policy processes is often ignored.

If the purpose of this paper were to influence policy makers it would be necessary to further the empirical base of the four vignettes and clarify desirable forums to ground the relevance of self-organisation, recursive structures, self-reference and reflexivity in policy processes.

Beer’s recursive structures, self-reference and reflexivity have much to contribute to the betterment of policy processes and the amelioration of the unbearable social and organisational costs of many current policies.

The application of concepts such as self-organisation, recursive structures, self-reference and reflexivity adds to the understanding of policy processes.

The intention of this article is to show possible contributions of the concept of autonomous cooperation to enable complex adaptive logistics systems (CALS) to cope with increasing complexity and dynamics and therefore to increase the systems' information-processing capacity by implementing autopoietic characteristics. In order to reach this target, the concepts of CALS and autopoietic systems will be introduced and connected. The underlying aim is to use the concept of self-organization as one of their essential similarities to lead over to the concept of autonomous cooperation as the most narrow view on self-organizing systems, which is discussed as a possible approach to enable systems to handle an increasing quantity of information. This will be analyzed from both a theoretical and an empirical point of view.

Drawing on the self-cognitive theory, this study aims to propose a conceptual model that links customer mistreatment with different types of helping behaviors through the self-efficacy mechanism.

The empirical analysis made use of the original data of three hotels located in southern China. The authors tested the hypotheses with a three-wave survey of a sample of 430 frontline workers in 95 groups.

Customer mistreatment may reduce employees’ self-efficacy, which has both positive and negative effects depending on the type of helping. Moreover, the coworkers’ supporting climate buffered the influence of self-efficacy on autonomous and dependent helping.

The authors resolve the ambiguity surrounding customer mistreatment-helping and self-efficacy-helping relations. Thus, the authors extend the knowledge on the influence of customer mistreatment and self-efficacy on helping behaviors by establishing that both positive and negative effects may exist depending on the type of helping. Moreover, this study identifies the predictive role of self-efficacy in autonomous and dependent helping.

It has been suggested that the future success of non-profit organizations lies in ensuring the sustainable involvement of the Millennial generation through social network sites. Facebook is a social media (SM) network that creates new research contexts and methodologies in service management. Organizations must now engage in learning how customer-with-customer interactions in SM could work best for them. The purpose of this paper is to better understand the factors influencing Millennials support for social causes through their autonomous engagement in the public environment of SM.

The authors conducted two studies of events for social causes (breast cancer and youth homelessness). In each, two Facebook event pages appealing to others-benefits and self-benefits were designed. Participants were randomly assigned the task of examining the appeal pages online. The dependent variables were two sets of intentions in support of the cause (online and offline). The effectiveness of an others-benefit vs a self-benefit Facebook appeal, the influence of empathetic identification with these causes and the direct and mediating effects of autonomous motivation was studied.

The studies provide consistent evidence that, to gain Millennial's support for social causes through SM, it is better to appeal mainly to the benefits others derive than to benefits to the self. Autonomous motivation is a strong predictor of supportive intentions and it also significantly mediates the positive influence of empathetic identification with a cause. Self-reported behavioral data following the youth homelessness event provided empirical evidence that the supportive intentions data were valid predictors of actual behaviors.

The paper used innovative experimental and correlational research methodologies to address Millennial's social behaviors within a SM context. The paper also introduced self-determination theory of motivation to this literature. From a practical standpoint, Millennials readily engage in impression management. Therefore, their supportive activities should be publicly lauded. Managers should also identify those Millennials who already empathize with the cause and facilitate their ability to influence other members in their networks. SM are changing at a fast pace and managers should employ Millennials in developing pertinent strategies and practices to keep pace. Taking advantage of marketing “with” Millennials can facilitate the development of new approaches for creating and supporting cause events.

In this paper, women entrepreneurs are seen as leaders and women leaders as entrepreneurial, making both groups an easy target of postfeminist expectations, governed by calls to embody the entrepreneurial self. Acknowledging that the entrepreneurial self has its roots in the universal, rational and autonomous subject, which was shaped in a male form during the Enlightenment, the purpose of this study is to conceptualise feminist resistance as a process through which the autonomous subject can be de-stabilised.

Empirically, this study draws on an extensive research project on women’s rural entrepreneurship that includes 32 in-depth interviews with women entrepreneurs in rural Sweden. This study interpreted expressions of resistance from the women by using an analytical framework the authors developed based on Jonna Bornemark’s philosophical treatise.

Feminist resistance unfolds as an interactive and iterative learning process where the subject recognises their voice, strengthens their voice and beliefs in a relational process and finally sees themselves as a fully fledged actor who finds ways to overcome obstacles that get in their way. Conceptualising resistance as a learning process stands in sharp contrast to the idea of resistance as enacted by the autonomous self.

This study helps researchers to understand that what they may have seen as a sign of weakness among women, is instead a sign of strength: it is a first step in learning resistance that may help women create a life different from that prescribed by the postfeminist discourse. In this way, researchers can avoid reproducing women as “weak and inadequate”.

Through the re-writing of feminist resistance, the masculine entrepreneurship discourse including the notion of the autonomous self is challenged, and a counternarrative to the postfeminist entrepreneurial woman is developed. Theorising resistance as a learning practice enables a more transforming research agenda, making it possible to see women as resisting postfeminist expectations of endless competition with themselves and others.

The purpose of this paper is to investigate the relationship between educational leadership and teacher's motivation. The research described here was anchored in the convergence of two fundamental theories of leadership and motivation: the full range model of leadership and self‐determination theory. The central hypotheses were that transformational leadership would predict autonomous motivation among teachers, whereas transactional leadership would predict controlled motivation. The authors further predicted that autonomous motivation would mediate the relations between transformational leadership and teachers' burnout and that controlled motivation would mediate the relations between transactional leadership and burnout.

Questionnaires assessing the variables of interest were completed by 122 Israeli teachers.

Results, based on structure equation modeling, supported the hypotheses, suggesting that leadership styles among school principals play a significant role in teachers' motivation and well‐being.

The school's environment in Western society is characterized by many impositions and pressures that affect teachers' well‐being, as reflected in their quality and intensity of motivation, affect, and burnout. Thus, the present research findings suggest that if the power in educational systems is delegated to school principals, and if the latter are encouraged and trained to be autonomy supportive toward their educational staff, then these steps may potentially facilitate teachers' autonomous motivation, satisfaction, and well‐being.

Few studies have examined the relationship between various styles of leadership and different types of motivation among followers. The present novel study has the potential to fill this gap by empirically studying the relationship between educational leadership and teachers' motivation.

The purpose of this study is that the teaching style of college physical education (PE) teachers affects the establishment of college students' exercise habits.

This study uses the teaching style scale for 32 PE teachers and the autonomic motivation and exercise habits scale for 320 college students in the form of self-report.

Chinese college PE teachers mainly use the teacher-centered reproduction style, and the practice style is the most frequently used; The overall teaching style of college PE teachers was significantly negatively correlated with autonomous motivation and exercise habits. PE teachers' teaching style can negatively affect college students' autonomous motivation, and college students' autonomous motivation can positively affect their exercise habits.

There is a significant negative correlation between the teaching style of college PE teachers and the exercise habits of college students. However, it cannot directly affect the establishment of college students' exercise habits, but is achieved through the mediating role of college students' autonomous motivation.

This study aims to explore and empirically examine an integrative model of the customer revenge process by linking two well-established theories of self-determination theory (SDT) and appraisal theory.

A survey of 901 respondents, followed by a post-hoc survey of 712 individuals, was conducted to examine the autonomous versus controlled orientations for revenge motivation.

The results show that customers’ orientation of motivation (OM) can regulate their revenge behavior (direct versus indirect) in case of service failures. Specifically, the interaction of OM components (i.e. autonomy, relatedness and competence) can play a significant role in the relationship between revenge predictors and revenge behavior. Implications for research and practice are discussed.

This paper offers a novel conceptual framework to explain the moderating effects of OM on the relationship between revenge predictors and revenge behavior. This study extends the application of SDT to the context of customer anger and revenge.

The purpose of this paper is to develop a model for autonomous cars to establish trusted parties by combining distributed ledgers and self-driving cars in the traffic to provide single version of the truth and thus build public trust.

The model, which the authors call Witness of Things, is based on keeping decision logs of autonomous vehicles in distributed ledgers through the use of vehicular networks and vehicle-to-vehicle/vehicle-to-infrastructure (or vice versa) communications. The model provides a single version of the truth and thus helps enable the autonomous vehicle industry, related organizations and governmental institutions to discover the true causes of road accidents and their consequences in investigations.

In this paper, the authors explored one of the potential effects of blockchain protocol on autonomous vehicles. The framework provides a solution for operating autonomous cars in an untrusted environment without needing a central authority. The model can also be generalized and applied to other intelligent unmanned systems.

This study proposes a blockchain protocol-based record-keeping model for autonomous cars to establish trusted parties in the traffic and protect single version of the truth.

An emerging theme in the practitioner literature suggests that the supply chain of the future – enabled especially by developments in ICT – will be autonomous and have predictive capabilities, bringing significant efficiency gains in an increasingly complex and uncertain environment. This paper aims to both bridge the gap between the practitioner and academic literature on these topics and contribute to both practice and theory by seeking to understand how such developments will help to address key supply chain challenges and opportunities.

A multi-disciplinary, systematic literature review was conducted on relevant concepts and capabilities. A total of 126 articles were reviewed covering the time period 1950-2018.

The results show that both IoT and AI are the technologies most frequently associated with the anticipated autonomous and predictive capabilities of future supply chains. In addition, the review highlights a lacuna in how such technologies and capabilities help address key supply chain challenges and opportunities. A new supply chain model is, thus, proposed, one with autonomous and predictive capabilities: the self-thinking supply chain.

It is our hope that this novel concept, presented here for the first time in the academic literature, will help both practitioners to craft appropriate future-proofed supply chain strategies and provide the research community with a model (built upon multidisciplinary insights) for elucidating the application of new digital technologies in the supply chain of the future. The self-thinking supply chain has the potential in particular to help address some of today’s key supply chain challenges and opportunities.