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  • 1.
    Ghobakhloo, Morteza
    et al.
    Department of Industrial Engineering, Minab Higher Educational Center, University of Hormozgan, Bandar Abbas, Iran.
    Azar, Adel
    Department of Management and Economics, Tarbiat Modares University, Tehran, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Lean-green manufacturing: the enabling role of information technology resource2018In: Kybernetes, ISSN 0368-492X, E-ISSN 1758-7883, Vol. 47, no 9, p. 1752-1777Article in journal (Refereed)
    Abstract [en]

    Purpose – The purpose of this paper is to contribute to the existing knowledge about the relationships between information technology (IT), lean manufacturing (LM), organizational environmental issues and business performance.

    Design/methodology/approach – A questionnaire-based survey was conducted to collect data from 122 elite manufacturers, and the hypothesized relationships were tested using partial least squares structural equation modeling. Findings – IT competence in LM acts as a lower-order organizational capability, and its business value should be recognized through the intermediate roles of LM effectiveness and environmental management capability. Findings recommend that the net benefits of LM are mainly materialized through waste and pollution reduction and simplified implementation of proactive environmental practices.

    Research limitations/implications – Among other limitations, relying on a rather small sample size and cross-sectional data of this research, and lack of generalizability of findings, tends to have certain limitations. An interesting direction for future research would be to extend this research by assessing interaction of other types of IT resources with LM and organizational environmental issues.

    Practical implications – Both LM and proactive environmental management are information-intensive. Investment in both technological and human aspects of IT resource aimed at increasing the effectiveness of LM activities and proactive environmental practices is imperative for contemporary manufacturers.

    Originality/value – This study introduces the IT capability of IT competence in LM and two organizational capabilities of LM effectiveness and environmental management capability. By doing so, the study highlights the significant role of organizational environmental issues in devising firms’ IT and advanced manufacturing technology investment strategies in LM context.

  • 2.
    Malmsjö, Anders
    University of Skövde, School of Humanities and Informatics.
    A Sketch of a Methodology for Designing Supportive Information Systems2006In: Kybernetes, ISSN 0368-492X, E-ISSN 1758-7883, Vol. 35, no 5-6, p. 880-898Article in journal (Refereed)
    Abstract [en]

    Purpose – The purpose of this work is to make a distinction between supportive and operative information systems. The overall aim is to find and argue for a methodology approach which is relevant for designing supportive information systems.

    Design/methodology/approach – The focus of this work is on the fundamental philosophical conditions for a methodology that can be used for designing supportive information systems. The analyses are founded on works by James G. Miller, John P. van Gigch and C. West Churchman, which means that living systems theory, the metamodeling approach, according to van Gigch, and Churchman's inquiring systems have been used to highlight epistemological considerations that this sketch of a methodology is based on.

    Findings – Two kinds of information systems have been stressed: operative and supportive information systems. The differences between them are described and their distinction has been accomplished by using, i.e. Miller's theory. The methodology approach bears a strong resemblance to that of system design, according to van Gigch, and that of interactive planning, according to Russell L. Ackoff. The following phases of a sketch of a methodology for designing supportive information systems have been identified: identification phase, specification phase, design phase, and implementation phase.

    Originality/value – The different conditions for designing operative and supportive information systems are described. An epistemological contribution related to the basis for a methodology is given. The value of the paper is that it emphasises that the selection and development of a methodology is not a trivial matter.

  • 3.
    Yousefi, Milad
    et al.
    Department of Production and Transportation Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Yousefi, Moslem
    Department of Mechanical Engineering, Islamic Azad University, Roudehen Branch, Roudehen, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Fogliatto, Flavio
    Department of Production and Transportation Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Patient visit forecasting in an emergency department using a deep neural network approach2019In: Kybernetes, ISSN 0368-492X, E-ISSN 1758-7883Article in journal (Refereed)
    Abstract [en]

    This study aims to investigate factors affecting daily demand in an emergency department (ED) and to provide a forecasting tool in a public hospital for horizons of up to 7 days.In this study, first the important factors to influence the demand in EDs were extracted from literature then the relevant factors to our study are selected. Then a deep neural network is applied for constructing a reliable predictor.Although many statistical approaches have been proposed for tackling this issue, better forecasts are viable through employing the abilities of machine learning algorithms. Results indicate that the proposed approach outperforms statistical alternatives available in the literature such as multiple linear regression (MLR), autoregressive integrated moving average (ARIMA), support vector regression (SVR), generalized linear models (GLM), generalized estimating equations (GEE), seasonal ARIMA (SARIMA) and combined ARIMA and linear regression (LR) (ARIMA-LR).We applied this study in a single ED to forecast the patient visits. Applying the same method in different EDs may give us a better understanding of the performance of the model. The same approach can be applied in any other demand forecasting after some minor modifications.To the best of our knowledge, this is the first study to propose the use of long short-term memory (LSTM) for constructing a predictor of the number of patient visits in EDs.

  • 4.
    Ziemke, Tom
    University of Skövde, School of Humanities and Informatics.
    Cybernetics and embodied cognition: on the construction of realities in organisms and robots.2005In: Kybernetes, ISSN 0368-492X, E-ISSN 1758-7883, Vol. 34, no 1-2, p. 118-128Article in journal (Refereed)
    Abstract [en]

    Abstract: Purpose – To point out the relevance of Heinz von Foerster's work to modern embodied cognitive science and artifical intelligence research.

    Design/methodology/approach – The paper discusses (a) von Foerster's contributions to understanding the limitations of the computer metaphor which has long dominated cognitive science, and (b) his theories concerning how reality is constructed in organizationally closed organisms, and what the underlying neural mechanisms are. The latter is exemplified with a simple neuro-robotic model that illustrates the constructive and anticipatory nature of memory.

    Findings – von Foerster's work on the integration of a radical constructivest philosophy of knowledge construction with models of the underlying neurophysiological and sensorimotor mechanisms is still highly relevant to the understanding of embodied cognition and robotic models thereof.

    Originality/value – This paper identifies conceptual contributions that von Foerster's constructivist cybernetics can make to cognitive science's still limited understanding of the embodiment of cognition and “representation”.

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