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Bateson's model of classifying different types of learning will be analyzed from a logical and technical point of view. While learning 0 has been realized for chess playing computers, learning I turns out today as the basic concept of artificial neural nets (ANN). All models of ANN are basically (non linear) data filters, which is the idea behind simple and behavioristic input‐output models.

The paper will discuss technical systems designed on the concept of learning 0 and I and it will demonstrate that these models do not have an environment, i.e. they are non‐cognitive and therefore “non‐learning” systems.

Models based on Bateson's category of Learning II differ fundamentally from Learning 0 and I. They cannot be modeled any longer on the basis of classical (mono‐contextural) logics. Technical artifacts which belong to this category have to be able to change their algorithms (behavior) by their own effort. Learning II turns out as a process which cannot be described or modeled on a sequential time axis. Learning II as a process belongs to the category of (parallel interwoven) heterarchical‐hierarchical process‐structures.

In order to model this kind of process‐structures the polycontextural theory has to be used – a theory which was introduced by the German‐American Philosopher and Logician Gotthard Günther (1900‐1984) and has been further developed by Rudolf Kaehr and others.

The aim of this chapter is to argue that charisma is a collective representation, and that charismatic authority is a social status that derives more from the “recognition” of the followers than from the “magnetism” of the leaders. I contend further that a close reading of Max Weber shows that he, too, saw charisma in this light.

I develop my argument by a close reading of many of the most relevant texts on the subject. This includes not only the renowned texts on this subject by Max Weber, but also many books and articles that interpret or criticize Weber’s views.

I pay exceptionally close attention to key arguments and texts, several of which have been overlooked in the past.

Writers for whom charisma is personal magnetism tend to assume that charismatic rule is natural and that the full realization of democratic norms is unlikely. Authority, in this view, emanates from rulers unbound by popular constraint. I argue that, in fact, authority draws both its mandate and its energy from the public, and that rulers depend on the loyalty of their subjects, which is never assured. So charismatic claimants are dependent on popular choice, not vice versa.

I advocate a “culturalist” interpretation of Weber, which runs counter to the dominant “personalist” account. Conventional interpreters, under the sway of theology or mass psychology, misread Weber as a romantic, for whom charisma is primal and undemocratic rule is destiny. This essay offers a counter-reading.

The purpose of this paper is to address the effects of retail out-of-stocks from a service-dominant (S-D) logic view.

Conceptual, combining classic S-D logic research with recent research of S-D logic in supply chains, and applying this to out-of-stocks in a retail setting of fast-moving consumer goods.

The paper unveils out-of-stocks as emergent operant resources that alter and attenuate value creation across manufacturers, retailers, shoppers, users and their networks. The paper develops a model of value co-creation where manufacturer supply and shopper/user demand meet in the retailer ' s realm. Differentiating between shopper and user in a sequential model of value creation, it identifies the shopper as an active entity whose response to out-of-stocks redistributes value within the retail service ecosystem. An additional model is developed that illustrates the novel costs of an out-of-stock as uncovered by the S-D logic perspective, allowing retailers and manufacturers to align their interests in improving on-shelf availability.

Moving distribution thought and management towards a goal of service provision, this article suggests three logistics research possibilities: retailer-manufacturer misalignment, spatio-temporal supply-demand mismatch, and shopper-user interaction.

This article shows how the S-D perspective can bring previously misaligned incentives of supply chain actors into alignment. Previous goods-dominant research showed little common ground for manufacturers and retailers to jointly improve on-shelf availability. The S-D logic view demonstrates compelling rationale for both parties ' involvement.

The paper extends S-D logic literature by considering value attenuation through failures in physical distribution and logistics management, adding that non-availability causes operand resources to become operant and attenuate/redistribute value. The paper extends the out-of-stock literature by providing a theoretical foundation, and by showing the ecosystem effects of out-of-stocks.

The existing theoretical and empirical research on cultural impact is rather inconsistent. The purpose of this paper is to deal with the reasons for this inconsistency by debating the adequate inclusion of the cultural factor in the growth model and the way to properly measure cultural capital (CC) for this purpose.

The paper starts with analyzing the limitations of growth theory (in particular Paul Romer ' s endogenous growth model) when CC is not taken into consideration. The amelioration is suggested through involvement of the Weberian mechanism of cultural impact. The difference between Weber ' s mechanism and using religion as a measurement proxy for cultural attitudes is enlightened. The improvement of Weber ' s measurement of CC by elevating Pierre Bourdieu ' s approach to CC from individual to aggregate regional level is suggested. Real data from five EU countries on NUTS II level is addressed for illustrating the above reasoning.

The evidence shows that the suggested by the paper measurement strategy for CC allows for treating culture indeed as a single factor both in theoretical and econometrical sense of the term factor, but without loss of information, which is otherwise inevitable if the author try to approximate culture with a single mono-dimensional variable such as religion.

Through discussion on Rome ' s endogenous growth model and Weber ' s cultural mechanisms of impact, the amelioration of growth theory by inclusion of CC is explained, operationalized and applied on a real data example.

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm’s competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (the R&D and technological knowledge concept, product‐process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on these theories, this paper attempts to identify the dynamic relationship between product innovation and process innovation using system dynamics by investigating that aspect of the dynamic changes in the closed feedback circulation structure in which R&D investments drive the accumulation of technological knowledge.

The purpose of this study is to investigate the effectiveness of online self-leadership training (OSLT) in promoting leaders’ self-leadership skills and recovery experiences.

A non-randomized controlled trial was conducted under two conditions: a standardized seven-week OSLT (N = 43) and a control without any intervention (N = 42). All participants (N = 85) completed standardized questionnaires measuring self-reported self-leadership skills and recovery experiences. Additionally, participants in the intervention group were assigned to invite one team member each (N = 26) to assess their leaders’ pre-post self-leadership skills and pre-post leader–member exchange.

Significant interaction effects of time and group and increases in the OSLT group (t1 vs t2) in self-leadership skills (cognitive and natural reward strategies) and recovery experiences (detachment and relaxation) indicated the effectiveness of OSLT training. Significant improvements in self-leadership skills and leader–member exchange were reported by team members of leaders in the OSLT group.

To the best of the authors’ knowledge, this study was the first to examine the effectiveness of OSLT for leaders in business contexts in a controlled before-after intervention design. The findings of this study revealed improvements in self-leadership skills and recovery experience because of OSLT.

The following bibliography focuses mainly on programs which can run on IBM microcomputers and compatibles under the operating system PC DOS/MS DOS, and which can be used in online information and documentation work. They fall into the following categories:

Shortly before the Second World War, a woman who had never accepted her orphan status, Gabrielle Bonheur Chanel, nicknamed ‘Little Coco’ by her father and known as ‘Coco’ to her relatives, became the first women in history to build a world-class industrial empire. By 1935, Coco, a fashion designer and industry captain, was employing more than 4,000 workers and had sold more than 28,000 dresses, tailored jackets and women's suits. Born into a poor family and raised in an orphanage, she enjoyed an intense social life in Paris in the 1920s, rubbing shoulders with artists, creators and the rising stars of her time.

Thanks to her entrepreneurial skills, she was able to innovate in her methods and in her trendsetting approach to fashion design and promotion. Coco Chanel was committed and creative, had the soul of an entrepreneur and went on to become a world leader in a brand new sector combining fashion, accessories and perfumes that she would help shape. By the end of her life, she had redefined French elegance and revolutionized the way people dressed.

Enterprises often face a wide variety of adverse events. Adverse events can have negative effects on organizations like failures of resources. In case resources fail, they are not available and cannot perform the assigned work. Enterprises are therefore especially interested in how resilient processes and workflows are in case adverse events occur and resources may fail. For this purpose, process resilience measurement approaches are needed.

To measure the resilience of processes and workflows, a life cycle and five quantitative metrics have been developed. The metrics have been validated using five real-world production and logistics cases to show their applicability on process models and paths. Furthermore, workshops have been conducted with professionals to get additional feedback on the contributions.

Based on the results obtained from applying the metrics to five real-world cases, view-based resilience improvements can be derived. Overall, only one of the five real-world cases can be considered as completely resilient. Furthermore, the metrics and life cycle have been especially valued by professionals with respect to transparency, independency, comparability as well as the ability to determine critical process paths.

Several authors have dealt with different aspects related to the measurement of business processes, resilience or a combination thereof. However, a life cycle or metrics to quantitatively measure the resilience of processes by considering resources has not been found yet. The life cycle and metrics are therefore novel. As a future research direction, they can be applied in different domains for further validation purposes.

This study aims to synthesize and analyze research on the Supply Chain Management Practices (SCMPs)-performance nexus, examine current knowledge, identify emerging trends, and provide plausible suggestions for future research engagements in the manufacturing sector in the context of Developing and Emerging Economies (DEEs).

Following a systematic review approach, this study analyzed 20 peer-reviewed scientific journal articles published between 2007 and 2021. The study sample was systematically selected from the Web of Science (WoS) and Google Scholar databases, following strict evaluation and selection criteria.

Numerous dimensions of SCMPs have been considered in the extant literature; however, six have stood out as the most common. In addition, operational performance stood out as the most widely investigated measure in the SCM literature. Moreover, SCMPs have predominantly shown positive effects on performance outcomes. Methodological issues that future studies should consider are suggested.

The sample size was not sufficiently large relative to the rule of thumb set in the literature because of the scarcity of studies in the manufacturing sector in the DEEs context. Despite these limitations, the results of this study provide crucial insights into knowledge and practice.

This review is the first of its kind to examine the SCMPs-performance nexus in the context of DEEs. Based on the findings of this study, future research directions are proposed.