Kybernetes

Sari, Kazim

doi: 10.1108/K-06-2014-0113pmid: N/A

Purpose – The purpose of this paper is to investigate the value of reducing errors in inventory information from a supply chain perspective. To this end, the benefits of reducing errors in inventory information are compared with those of lead time reduction and supply chain collaboration. Design/methodology/approach – A simulation model is constructed to perform the analysis. Findings – Results show that lead time reduction is the most important strategy for a supply chain in reducing total supply chain cost. In terms of customer service level, on the other hand, strategy of reducing errors in inventory information is observed as the most considerable strategy. However, the results for supply chain collaboration are somewhat unexpected. Namely, in spite of its popularity, supply chain collaboration provides very limited contribution to the supply chain. Practical implications – This research provides useful knowledge for the managers of a business enterprise in prioritizing various supply chain strategies. Originality/value – In supply chain management literature, greater emphasis is given to lead time reduction and supply chain collaboration than dealing with errors in inventory information. This research makes it clear that errors in inventory information should not be underestimated.

Hildbrand, Sandra ; Bodhanya, Shamim

doi: 10.1108/K-01-2014-0017pmid: N/A

Purpose – Although many cases where viable system model (VSM) was successfully applied exist, hardly any literature advises the novice VSM user regarding the accomplishment of a VSM diagnosis. The purpose of this paper is to show practitioners and researchers how to conduct a VSM diagnosis. The paper further seeks to encourage others to apply VSM and to share their experience with using VSM. Design/methodology/approach – The paper provides detailed guidelines on how to conduct a VSM diagnosis in conjunction with qualitative research methods. It outlines the data collection, analysis and presentation of results. Findings – VSM is an outstanding diagnostic tool. Qualitative research methods provide access to the essential information for the VSM diagnosis and should be used in iteration with VSM. They can enhance the VSM diagnosis by focusing on the soft aspects in the investigated system. The VSM language needs to be adapted to the specific context in which VSM is used and VSM can be applied in a participatory manner. Further research needs to explore possibilities to strengthen the handling of detected shortcomings that were revealed during the VSM diagnosis. Research limitations/implications – This paper is based on one experience with the VSM application and other VSM users might provide different insights. Originality/value – There is little practical advice in existing literature regarding the accomplishment of a VSM diagnosis. This paper addresses that gap. In addition, VSM has not been applied to a sugarcane production and supply system before.

Hsieh, Yen-Hao ; Yuan, Soe-Tsyr

doi: 10.1108/K-05-2013-0093pmid: N/A

Purpose – The purpose of this paper is to propose a service-dominant (S-D) logic-based input-output analysis approach to systematically measure the effects of technology spillover in the service sector. Design/methodology/approach – This study uses a case to demonstrate the feasibility and contributions of the S-D logic-based input-output analysis approach. Findings – This study adopted the idea of customer involvement to formulate the S-D logic-based input-output analysis approach. Service providers can apply this systematical approach to find potential opportunities to spread information technology and co-create values with customers. Originality/value – The S-D logic-based input-output analysis approach has elasticity to dynamically employ different perspectives to evaluate the effects of technology spillovers in order for integrity and precision. The proposed approach is to delineate the possible target values that related to specific services based on the notions of operant resources and customer involvement in a selected service sector. Service providers within the service sector have to offer innovative service activities and manage existing services for customers to participate in.

Büyüközkan, Gülçin ; Görener, Ali

doi: 10.1108/K-01-2014-0019pmid: N/A

Purpose – Today, customers are generally perceived to be demanding higher quality and better performing products, in shorter and more predictable development cycle-times and at a lower cost. These market pressures drive firms to collaborate with possible partners in product development (PD) processes. However, the selection of a suitable partner for an effective PD is not an easy decision and is associated with complexity. The purpose of this paper is to propose an integrated multi-criteria decision-making (MCDM) approach to effectively evaluate PD partners. Design/methodology/approach – The proposed evaluation procedure consists of several steps. First, based on a literature review and expert validation, the strategic main and sub-criteria of the PD partner selection process that companies consider the most important are identified. After constructing the evaluation criteria hierarchy, the criteria weights are calculated by applying the Analytic Hierarchy Process (AHP) method. The VIKOR (a compromise ranking) method is used to obtain the final partner ranking results. A case study is given to demonstrate the potential of the methodology. In the last part of the study, a sensitivity analysis is performed to determine the influence of criteria weights on the decision making process. Findings – The PD partner evaluation model contains three main criteria, namely, partner, collaboration and PD-oriented criteria, with 13 sub-criteria. The market position, competency of the partner, compatibility, technical expertise and complementarity are found as the most considerable evaluation criteria for the ABC case company. Results of the sensitivity analysis from different cases demonstrate that the integrated AHP-VIKOR model is quite sensitive to the weights assigned to the evaluation criteria. This finding underlines the importance of forming a capable, qualified group of experts for the decision-making procedure. The results of the empirical study show that the proposed evaluation framework is practical for solving partner selection problems. Originality/value – Partner selection is critical to the success of a collaborative PD process. The main contribution of this paper is the definition and development of an effective evaluation framework to guide managers for suitable PD partner selection. In our knowledge, there exists no study in the literature that combines the established AHP VIKOR model for PD partner selection problem. This study can be useful to researchers to better understand PD partner selection problem theoretically, as well as to organizations in designing better satisfying PD partner evaluation systems.

Li, Huimin ; Qin, Keli ; Li, Peng

doi: 10.1108/K-01-2014-0012pmid: N/A

Purpose – The construction project is implemented under uncertainty environment, and the product of construction is very complex. Selecting a project delivery system/approach is a critical task, which determines the project schedule, quality and investment objectives. The purpose of this paper is to propose a decision-making model for the selection of project delivery system which is based on information entropy and unascertained measure model. Design/methodology/approach – A decision-making model based on information entropy and unascertained set is employed to select project delivery approach. In order to overcome the subjective evaluations from the experts, the theory of “entropy weight” is applied to modify the experts’ subjective weight. The multi-attribute unascertained measure decision making is fitted to deal with the uncertainty information for selection of project delivery system. Findings – The proposed methodology is more comprehensive compared with the previous work, especially in the uncertainty environment. Research limitations/implications – There is some further work that should be considered, such as how to deal with the imprecise and subjective information given by the experts; how to determine the weight of the experts’; finding a set of importance factors influencing the selection of a delivery system is a complex task to further research. Practical implications – The proposed method can help the construction owner to select a most fitted project delivery system of a construction project. Originality/value – A new approach to select project delivery approach is proposed based on information entropy and unascertained set.

Bartscht, Jan

doi: 10.1108/K-09-2014-0189pmid: N/A

Purpose – The purpose of this paper is to explain why systems must make a habit of exploring the unknown and identify the complex and chaotic dynamics that drive modern volatile, uncertain, complex and ambiguous (VUCA) situations. Design/methodology/approach – Eight faculty staff from the “Thunderbird School of Global Management” were interviewed around the subject of “what does it take to be a successful 21st Century leader?” in spring 2012. These interviews were then analysed using Ricoeur’s Hermeneutic methodology which resulted in three behaviours being identified. Then, according to Ricoeur’s methodology, deep interpretation of the results took place to understand these research results through the lens of complexity science. Findings – Systems must make a habit of actively exploring the unknown to discover the patterns that cause complex chaos. This enables them to improve their capacity to generate useful situational understanding in VUCA environments and better position themselves in the fitness landscape. Finally, the idea of “epistemic stance” is introduced as an important way of managing identity and improving innovation. Research limitations/implications – The implication is that modern systems, e.g. leaders and organisations, must make a habit of exploring the unknown to find and understand the dynamics that drive the complex world if they are to build effective situational understanding of VUCA environments. Practical implications – If systems wish to innovate, they must ensure they have the appropriate epistemic stance in place so that they can change their identity to allow innovation to transform the identity. Originality/value – Whilst the behaviour of exploration is already known, this research focuses that behaviour on specifically identifying the patterns that cause complex chaos. Further, the epistemic stance is introduced which plays an important role in regulating how open a system is to changing its identity and therefore adapting and innovating.

Kose, Erkan ; Forrest, Jeffrey Yi-Lin

doi: 10.1108/K-04-2014-0073pmid: N/A

Purpose – One important assumption in the conventional cooperative game theory is that payoffs are assumed to be deterministic. In terms of the players’ cognitive ability of the realistic world, this is a very strict assumption. The classical game theory can find no way out when a particular game circumstance involves uncertainty, such as limited knowledge, small sample, and inadequate information, the payoff values of the game can only be described with interval grey numbers. The paper aims to discuss these issues. Design/methodology/approach – In this study the concept of N-person grey games is proposed in which payoffs are represented with interval grey numbers opposed to the classical game theory. A straight forward solution methodology is submitted compatible to grey numbers. Then, a currency war between anonymous countries is handled and modeled as an N-Person grey game. A generic currency war scenario is developed to follow the proposed solution procedure thoroughly. Findings – Based on the outcomes of this work, the authors can say that N-person grey game is an expansion of the classical N-person game under uncertain grey information and can be applied in more complex and uncertain environments, such as those seen in complicated currency warfare. Originality/value – This study combines the grey system theory with the classic N-person game theory and sets up the N-person grey game with grey payoff functions. Based on the grey number operating methods, the grey linear programming algorithm is established to calculate and distribute benefits to the players. In this respect this study has the feature of being the pioneer in the N-person grey game area.

Yolles, Maurice ; Fink, Gerhard

doi: 10.1108/K-11-2014-0255pmid: N/A

Purpose – Anticipating behaviour and responding to the needs of complexity and the problematic issues that they can generate requires modelling to facilitate analysis and diagnosis. Using arguments of anticipation as an imperative for inquiry, the purpose of this paper is to introduce generic modelling for living systems theory, and assigns the number of generic constructs to orders of simplex modelling . An nth simplex order rests in an nth order simplex cybernetic space. A general modelling theory of higher orders of simplexity is given, where each higher order responds to every generic construct involved, the properties of which determining the rules of the complex system being that is represented. Higher orders of simplexity also explain greater degrees of complexity relatively simply, and give rise to the development of new paradigms that are better able to explain perceived complex phenomena. Design/methodology/approach – This is part 1 of three linked papers. Using principles that arise from Schwarz’s living systems set within a framework provided by cultural agency theory, and with a rationale provided by Rosen’s and Dubois’ concepts of anticipation, the papers develops a general modelling theory of simplex orders. It shows that with the development of new higher orders, paradigm shifts can occur that become responsible for new ways of seeing and resolving stubborn problematic issues. The paper is composed of two parts. Part 1 establishes the fundamentals for a theory of modelling associated with cybernetic orders. Using this, part 2 establishes the principles of cybernetic orders using simplex modelling. This will include a general theory of generic modelling. Part 3 extends this, developing a fourth order simplex model, and exploring the potential for higher orders using recursive techniques through cultural agency theory. Findings – Cultural agency theory can be used to generate higher simplex through principles of recursion, and hence to create a potential for the generation of families of new paradigms. The idea of conceptual emergence is also tied to the rise of new paradigms. Research limitations/implications – The use of higher order simplex models to represent complex situations provides the ability to condense explanation concerning the development of particular system behaviours, and hence simplify the way in which the authors analyse, diagnose and anticipate behaviour in complex situations. Illustration is also given showing how the theory can explain the emergence of new paradigms. Practical implications – Cultural agency can be used to structure problem issues that may otherwise be problematic, within both a top-down and bottom up approach. It may also be used to assist in establishing behavioural anticipation given an appropriate modelling approach. It may also be used to improve and compress explanation of complex situations. Originality/value – A new theory of simplex orders arises from the new concept of generic modelling, illustrating cybernetic order. This permits the possibility of improved analysis and diagnosis of problematic situations belonging to complex situations through the use of higher order simplex models, and facilitates improvement in behavioural anticipation.

Yolles, Maurice ; Fink, Gerhard

doi: 10.1108/K-12-2014-0302pmid: N/A

Purpose – Anticipating behaviour and responding to the needs of complexity and problematic issues requires modelling to facilitate analysis and diagnosis. Using arguments of anticipation as an imperative for inquiry, the purpose of this paper is to introduce generic modelling for living systems theory, and assign the number of generic constructs to orders of simplex modelling. An nth simplex order rests in an nth order simplex cybernetic space. A general modelling theory of higher orders of simplexity is given, where each higher order responds to every generic construct involved, the properties of which determining the rules of the complex system being that is represented. Higher orders of simplexity also explain greater degrees of complexity relatively simply, and give rise to the development of new paradigms that are better able to explain perceived complex phenomena. Design/methodology/approach – This is part 2 of three linked papers. Using principles that arise from Schwarz’s living systems set within a framework provided by cultural agency theory, and with a rationale provided by Rosen’s and Dubois’ concepts of anticipation, the papers develop a general modelling theory of simplex orders. They show that with the development of new higher orders, paradigm shifts can occur that become responsible for new ways of seeing and resolving stubborn problematic issues. Part 1 established the fundamentals for a theory of modelling associated with cybernetic orders. Using this, in this part 2 the authors establish the principles of cybernetic orders using simplex modelling. This will include a general theory of generic modelling. In part 3 the authors shall extend this, developing a fourth-order simplex model, and exploring the potential for higher orders using recursive techniques through cultural agency theory. Findings – Cultural agency theory can be used to generate higher simplex through principles of recursion, and hence to create a potential for the generation of families of new paradigms. The idea of conceptual emergence is also tied to the rise of new paradigms. Research limitations/implications – The use of higher order simplex models to represent complex situations provides the ability to condense explanation concerning the development of particular system behaviours, and hence simplify the way in which the authors analyse, diagnose and anticipate behaviour in complex situations. Illustration is also given showing how the theory can explain the emergence of new paradigms. Practical implications – Cultural agency can be used to structure problem issues that may otherwise be problematic, within both a top-down and bottom up approach. It may also be used to assist in establishing behavioural anticipation given an appropriate modelling approach. It may also be used to improve and compress explanation of complex situations. Originality/value – A new theory of simplex orders arises from the new concept of generic modelling, illustrating cybernetic order. This permits the possibility of improved analysis and diagnosis of problematic situations belonging to complex situations through the use of higher order simplex models, and facilitates improvement in behavioural anticipation.

Yolles, Maurice ; Fink, Gerhard

doi: 10.1108/K-12-2014-0303pmid: N/A

Purpose – Anticipating behaviour and responding to the needs of complexity and problematic issues requires modelling to facilitate analysis and diagnosis. Using arguments of anticipation as an imperative for inquiry, the purpose of this paper is to introduce generic modelling for living systems theory, and assigns the number of generic constructs to orders of simplex modelling. An nth simplex order rests in an nth order simplex cybernetic space. A general modelling theory of higher orders of simplexity is given, where each higher order responds to every generic construct involved, the properties of which determining the rules of the complex system being that is represented. Higher orders of simplexity also explain greater degrees of complexity relatively simply, and give rise to the development of new paradigms that are better able to explain perceived complex phenomena. Design/methodology/approach – This is Part 3 of three linked papers. Using principles that arise from Schwarz’s living systems set within a framework provided by cultural agency theory, and with a rationale provided by Rosen’s and Dubois’ concepts of anticipation, the papers develop a general modelling theory of simplex orders. They show that with the development of new higher orders, paradigm shifts can occur that become responsible for new ways of seeing and resolving stubborn problematic issues. Part 1 established the fundamentals for a theory of modelling associated with cybernetic orders. Using this, in this Part 2 the authors established the principles of cybernetic orders using simplex modelling. This included a general theory of generic modelling. In this Part 3 the authors extend this, developing a fourth order simplex model, and exploring the potential for higher orders using recursive techniques through cultural agency theory. The authors also explore various forms of emergence. Findings – Cultural agency theory can be used to generate higher simplex through principles of recursion, and hence to create a potential for the generation of families of new paradigms. The idea of conceptual emergence is also tied to the rise of new paradigms. Research limitations/implications – The use of higher order simplex models to represent complex situations provides the ability to condense explanation concerning the development of particular system behaviours, and hence simplify the way in which the authors analyse, diagnose and anticipate behaviour in complex situations. Illustration is also given showing how the theory can explain the emergence of new paradigms. Practical implications – Cultural agency can be used to structure problem issues that may otherwise be problematic, within both a top-down and bottom-up approach. It may also be used to assist in establishing behavioural anticipation given an appropriate modelling approach. It may also be used to improve and compress explanation of complex situations. Originality/value – A new theory of simplex orders arises from the new concept of generic modelling, illustrating cybernetic order. This permits the possibility of improved analysis and diagnosis of problematic situations belonging to complex situations through the use of higher order simplex models, and facilitates improvement in behavioural anticipation.