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The paper aims to offer a new perspective casting original light on the foundational socio‐scientific argumentation premised on the application of the epistemology of unity of knowledge across contrasting shades of reasoning, to the problem of religion, science and society. Kantian epistemological reasoning is questioned within this argumentation. The specific case of money, finance and real economy is treated in the context of the epistemology of unity of knowledge contra Kantian problem of heteronomy.

The comparative study of received literature in the history of epistemological thinking is applied to the issue of universality and uniqueness of theory and its application in the learning dynamics between organically complementary relations, called circular causation, to the ethical interdependence between money, finance and the real economy. The goal is to attain social and economic sustainability.

A new epistemological outlook in occidental sciences is needed to repair its intrinsic dualism. Kantian thinking is instrumental in this structural flaw. Unity of divine knowledge as comprehended by functional ontological formalism in the deepest of scientific terms compromises the universal and unique alternative in “everything”. This claim has been formalised.

This is a theoretical exploration.

Important global implications of the need for a new outlook of unity between monetary, financial and real economic variables are presented within the contrasting epistemological argumentations. The direction of such money‐real economy reform in the light of Islamic economics and finance is pointed out.

This is an original conceptual paper, whose content argued out in rigorous scientific language of topological mathematics aims at showing the link between the epistemology of unity of knowledge and the world‐systems. The same is impossible in the Kantian worldview.

This paper aims to contribute to the understanding of the knowledge that Beer's viable system model helps when applied to the study of change processes in organisations.

This paper develops a case study constructed on interviews and shared reflections by the author and a key player in the company. Aspects of the case study are then seen with an epistemological lens.

While it is apparent that ideas, purposes, values or policies depend on resources to happen, this paper argues that it is necessary their embodying in effective relations to succeed creating and producing desirable meanings.

Some forms of embodiment are more effective than others. The viable system model offers embodiment criteria to increase the chances of a successful production of ideas, purposes, values and policies, and the case study shows that for this purpose a limitation is transforming long‐established relationships.

This paper uses a particular and unique situation to illustrate through the viable system model some of the general difficulties that organisations face in achieving desirable transformations.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

The purpose of this paper is to utilize the proposed function transformation to make the original data series meet the properties of smooth ratio being lessen and stepwise ratio deviation being reduced, so that to improve the accuracy of grey forecasting model.

According to the characteristics of anti-cotangent functional graph variation, the theory of functional transformation and grey system modeling, the authors proposed a grey model based on the transformation of Aarc cot x+B function.

The calculated result of practical example shows that the proposed method is both valid on improving fitting effectiveness and forecasting accuracy.

The proposed method in this paper can effectively improve the accuracy of forecasting of high-growth original data series (derivative of data series is not only greater than 1 but also increasing).

The paper succeeds in providing an effective function transformation to make the smooth ratio and stepwise ratio deviation reduced significantly.

This paper aims to present how iterative round‐trip modelling between two different business process modelling tools can be enabled on a conceptual level. Iterative round‐trip modelling addresses model transformations between high‐level business and executable process models, and how to maintain these transformations in change time. Currently, the development of these process models is supported by different tools. To the authors' best knowledge, no coherent collaborative tool environment exists that supports iterative round‐trip modelling.

This paper is primarily based on a literature review of state‐of‐the‐art business to IT transformations regarding business process modelling. The architecture of integrated information systems (ARIS) and Cordys tools are used as an example case in this research. ARIS is a business process analysis (BPA) tool suited for analyzing and designing business processes, while the execution and monitoring of these processes is allowed by Cordys, a business process management suite (BPMS). The theory is used for transforming between ARIS event‐driven process chains from the business perspective and business process modelling notation in Cordys from the IT perspective.

A conceptual framework is proposed to couple a BPA and BPMS tool for round‐trip business process modelling. The framework utilizes concepts from the model‐driven architecture for structurally addressing interoperability and model transformations. Ensuring iterative development with two tools requires traceability of model transformations.

In many organizations, BPA and BPMS tools are used for business process modelling. These are in practice often two different worlds, while they concern around the same business processes. Maintaining multiple versions of the same process models across two tools is a considerable task, as they often are subject to design changes. Interoperability between a BPA and BPMS tool will minimize redundant activities, and reduce business to IT deployment time.

This research provides a theoretical base for coupling a BPA and BPMS tool regarding iterative round‐trip modelling. It provides an overview of the current state‐of‐the‐art literature of business process modelling transformations, and what is necessary for maintaining interoperability between tools. The findings indicate what is expected in tool support for iterative development in business process modelling from analysis and design to execution.

In view of high consumption situation of raw materials in the apparel industry due to unique and diversified style, the purpose of this paper is to investigate the application of pattern transformation between clothing and tent, explore the feasibility of extending multi-functional product and provide experimental demonstration for realizing 5R (Reduce, Reevaluate, Reuse, Recycle, Rescue) design goal of garment product.

According to the results of market research, in order to make single product have the functions of both outdoor couple clothing and simple tent, the planar patterns of clothing and tent are compared and transformed to make them compatible with each other, then the removable multi-functional design and technique processing are adopted.

It was found that outdoor clothing and tent with similar application occasions and raw materials could realize the assumption of multi-functional product. Their combination has the functions of both clothing and tent by wearing and assembling.

By means of this transformation design, the diversification and enjoyment of garment styles and functions can be realized. This helps to improve the energy efficiency of raw materials and accessories by increasing the frequency of product reuse and sharing. In addition, the enjoyment design of products also helps to lead and promote ecological consumption.

The aim of this study was to identify interventions for and mechanisms of the digital transformation of purchasing and supply management (PSM) processes. The digital transformation of tactical and operational PSM processes has often progressed slowly despite the solid knowledge of advanced technologies.

This study used a qualitative exploratory approach based on 14 interviews with PSM executives from firms that are continuously working toward using advanced technologies in their PSM processes but have not yet gained full strategic benefits from digital transformation.

This study formulates five propositions regarding interventions and mechanisms that can positively influence the digital transformation of PSM processes. The main intervention in this regard is the renewal of data infrastructure, including platforms. PSM-related data should meet needs from both tactical and operational viewpoints. When applications serve as a source of data, they support digital transformation. Mechanisms such as supplier measurement and process improvement are outcomes of the digital transformation of PSM processes.

This study highlights the importance of common data sets for tactical and operational purchasing. These purchasing data should be owned and served by a cross-functional team. To create this interoperability, a firm needs global governance of open standards.

This study makes a theoretical contribution to the discussion of what kind of interventions positively influence on the digital transformation of PSM processes. Specifically, this study explains the integration needs of data and applications.

The purpose of this paper is to introduce a contextualistic account of antisocial responding, with the addition of recent developments on the study of personality.

A behavioural and contextualistic view point is developed to account for antisocial personality and related topics, inasmuch as traditional definitions of antisocial personality disorder as provided on formal diagnostic manuals derive on several and not always coherent classifications of antisocial behaviours. Some of these classifications centre on issues like guilt, impulsivity or aggressiveness for establishing different types of offending and antisocial patterns. This paper focuses on functional personal backgrounds.

A total of five types of “potentiated contingencies” are described as being the main underpinnings involved in antisocial patterns. An analysis of the transformation of aversive functions of antisocial behaviours, leads to specify a distinctive rule-following behaviour that is concerned with that responding. Finally, the exposition of the four verbal clinical contexts that behaviour analysis highlights as taking place at therapeutic settings, serves to propose a fitter contextualistic intervention for antisocial personality patterns.

Novel investigations should contrast the functional classification of antisocial responding. Those studies should experimentally demonstrate the way in which the different instances of transformation of antisocial functions the author has described are prompted.

The analysis also allows for the anticipation of the behaviour of individuals fitting to every category of antisocial avoidance. And as the functional analysis of “antisocial avoidance” uncovers specific relations between environmental stimuli as they are produced and established in the history of interactions of individuals, a more fitting intervention based upon those relations is feasible.

An exhaustive functional taxonomy of antisocial personalities and delinquent behaviours has never been presented before elsewhere. Besides the author reinterprets from a contextualist position traditional empirical studies.

This paper shows how the interplay between organisational resilience and environmental complexity justifies the existence of differentiated yet successful approaches to digital transformation.

A multi-case method is applied to test our research hypotheses by contrasting the digital transformation of three Italian companies in the valves industry.

Different combinations of technological and organisational tools, hence diversified digital transformations, can be successful, provided that they are supported by a coherent set of resilience factors and allow for the implementation of strategic approaches aligned with the resilience capacity of the firm.

Awareness that resilience capacity shapes digital transformation and the strategies available to engage with external complexity should focus managers to invest in the alignment and the reinforcement of the factors underlying organisational resilience.

Most literature so far focused on the antecedents to digital transformation. In contrast, this paper focuses on the transformation process and highlights how the resilience capacity of the firm affects the unfolding of digital transformation and the emergence of diversified yet successful paths. In addition, in contrast with a dichotomous approach to external complexity this paper shows that digital transformation involves a mix of complexity reduction and complexity absorption strategies.

Preparing digital mock-ups (DMUs) for finite element analyses (FEAs) is currently a long and tedious task requiring many interactive CAD model transformations. Functional information about components appears to be very useful to speed this preparation process. The purpose of this paper is to shows how DMU components can be automatically enriched with some functional information.

DMUs are widespread and stand as reference model for product description. However, DMUs produced by industrial CAD systems essentially contain geometric models, which lead to tedious preparation of finite element Models (FEMs). Analysis and reasoning approaches are developed to automatically enrich DMUs with functional and kinematic properties. Indeed, geometric interfaces between components form a key starting point to analyze their behaviors under reference states. This is a first stage in a reasoning process to progressively identify mechanical, kinematic as well as functional properties of components.

Inferred semantics adds up to the pure geometric representation provided by a DMU and produce also geometrically structured components. Functional information connected to a structured geometric model of a component significantly improves FEM preparation and increases its robustness because idealizations can take place using components’ functions and components’ structure helps defining sub-domains of FEMs.

Future research will carry on improving algorithms for geometric interfaces identification, processing a wider range of component functions, which will contribute to a formalization of the concept of functional consistency of a DMU.

Simulation engineers benefit from this automated enrichment of DMUs with functional information to speed up the preparation of FEAs of large assemblies.