scholarly journals Knowledge Transfer through Computer-based Systems in Manufacturing Networks: A Study on Albanian Plants

2022 ◽  
Vol 11 (1) ◽  
pp. 180
Author(s):  
Kreshnik Vukatana ◽  
Elira Hoxha ◽  
Kozeta Sevrani

This study shows a general view about knowledge transfer between manufacturing plants in developing countries like Albania, which are part of multinational companies’ network (MCN). Part of this goal is the study of computer-based systems from conference calls and intranets to more advanced ones like data warehouses, management information systems (MIS) and executive information systems (EIS), as enablers of knowledge flow and absorptive capacity. The paper examines four case studies based on semi-structured interviews, where the data collected highlight a good coverage of computer-based systems in function of knowledge sharing. In half of the cases, this is done internally in the plant and not over the network of plants. We propose to upgrade where possible the systems used in a distributed way to have data and information connections across the network. In some cases, emerge barriers such as lack of time, lack of tolerance for errors, or the need for assistance. Conclusions show that staff training related to computer-based systems in the optics of knowledge enablers is important for the companies, while the incentives are not considered as a key factor for knowledge transfer.    Received: 15 July 2021 / Accepted: 23 September 2021 / Published: 3 January 2022

2020 ◽  
Vol 51 (11) ◽  
pp. 2-13
Author(s):  
Maike Scherrer ◽  
Patricia Deflorin ◽  
Levente Szász ◽  
Béla-Gergely Rácz ◽  
Ildikó-Réka Cardoș ◽  
...  

The paper aims at exploring the prerequisites for a beneficial knowledge transfer between manufacturing plants of multinational companies (MNCs), by taking the characteristics of the knowledge sending and knowledge receiving plant into consideration. This research seeks to understand how efforts undertaken by manufacturing plants, and how collaborative tools and coordination mechanisms influence a successful knowledge transfer. The study includes thirteen case studies conducted in manufacturing plants from four different European countries (i.e., Switzerland, Romania, Albania, and Macedonia). Given the exploratory nature of this study, the authors used a qualitative research approach. The main method of data collection involved multiple semi-structured interviews at manufacturing plants, uniformly applied in each country in order to observe general patterns across different cases. Their results show that the personal interaction between knowledge sending and receiving plants is more important for a successful knowledge transfer than information systems or prior related knowledge.


Author(s):  
Alistair Lowe ◽  
Chris McMahon ◽  
Tulan Shah ◽  
Steve Culley

Abstract This paper reports on an investigation into the way in which designers from two aerospace companies organise and use information in their work. There remains relatively poor understanding of what the technical information requirements for engineers are. However, such an understanding is essential for the successful development of computer based design information systems. The concept of Design Information Profiles (DIPs) is proposed as a means of identifying these information requirements for a range of engineers working in different design contexts. These different contexts are characterised by the stage of the design life-cycle and also the social environment in which the engineers work. Profiles have been collected through structured interviews and observations of the participants at work. The results of the information profiles indicate important differences in the extent to which personal, local group and company-wide information is used by designers from different design contexts. An ‘audit’ of the participants’ personal and local group information stores is also reported. These results are likely to have implications for the future development of computer based design information systems.


Author(s):  
Guisseppi Forgionne ◽  
Manuel Mora ◽  
Jatinder N.D. Gupta ◽  
Ovsei Gelman

Decision-making support systems (DMSS) are specialized computer-based information systems designed to support some, several or all phases of the decision-making process (Forgionne et al., 2000). They have the stand-alone or integrated capabilities of decision support systems (DSS), executive information systems (EIS) and expert systems/knowledge based systems (ES/KBS). Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits for decision makers in real applications.


2017 ◽  
Vol 28 (3) ◽  
pp. 394-419 ◽  
Author(s):  
Maike Scherrer ◽  
Patricia Deflorin

Purpose The purpose of this paper is to analyse the prerequisites for lateral knowledge transfer in manufacturing networks. Design/methodology/approach Data stem from a single case study involving 26 interviews at the management level of a manufacturing network and a survey of 17 manufacturing plants in the network. Findings The requirements for lateral knowledge transfer between knowledge-sending and knowledge-receiving plants are similar strategic orientation, product portfolio similarity and process similarity. If the knowledge-sending and knowledge-receiving plants meet at least one of these requirements, then knowledge transfer is facilitated. Plant age, functional ties and geographical proximity do not seem to be important in lateral knowledge transfer. Research limitations/implications The results come from a single case study, limiting their generalisability. Further research should consider the influence of the network’s coordination mechanism on lateral knowledge transfer. Originality/value The paper investigates prerequisites for lateral knowledge transfer in manufacturing networks, shedding light on the fundamental factors that must be in place at the knowledge-sending and knowledge-receiving plants.


2020 ◽  
Vol 13 ◽  
Author(s):  
Aisan Ghaemian ◽  
Mahdi Ghomi ◽  
Miles Wrightman ◽  
Colm Ellis-Nee

Abstract The present study aimed to explore patients’ experience with an Improving Access to Psychological Therapies (IAPT) service, and to investigate the reasons for discontinuing their treatment. A qualitative approach was adopted using thematic analysis of semi-structured interviews carried out with 818 patients attending for treatment in Talking Change from November 2015 to January 2019, retrospectively. The five main themes that emerged from the study were: ‘Felt better’, ‘Issues with group settings’, ‘Therapeutic alliance breakdown’, ‘Miscommunication’ and ‘Impracticalities’. The qualitative study uncovered a wide range of reasons for people who had dropped out from their treatment. The findings mainly emphasised general dissatisfaction and inconvenient appointments. However, improvement in symptoms of depression and anxiety was also identified as a key factor among patients who discontinued their treatment. This recovery is known as ‘progress withdrawal’ in which patients withdraw from treatment early due to good therapeutic progress. We present clinical and procedural implications arising from these themes. Key learning aims (1) To explore what can cause discontinuation of therapy. (2) To obtain the experience of people who have received treatment and dropped out from Talking Change Psychological Therapy services. (3) To explore whether people recovered as part of the treatment withdrawal and what may have helped towards that recovery.


2006 ◽  
Vol 50 (1) ◽  
pp. 48-60 ◽  
Author(s):  
Jorge Alvarez ◽  
Peter Nuthall

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