Corporate knowledge management in Ramp-up conditions: The stakeholder interests account, the responsibility centers allocation

Yeleneva, Julia; Kharin, A.; Yelenev, Konstantin; Andreev, Vladimir; Kharina, Olga S.; Kruchkova, Elena V.

doi:10.1016/j.cirpj.2017.12.002

Cited by 13 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The reasoning of the expectations confirmation theory is very close to the argumentation of social exchange theory in B-to-B context (Lambe et al , 2001). Social exchange theory assumes that individuals or groups interact with others looking forward to a reward (Wu et al , 2014; Yang et al , 2009). Therefore, humans seek to choose the best alternative from a set of alternatives by evaluating the experiences and perceptions of each alternative (Blau, 2009).…”

Section: Hypothesis Developmentmentioning

confidence: 99%

“…Surbier et al (2014) showed in their overview on production ramp-up that since the late 1990s the topic has gained more and more research interest. Today, the literature about production ramp-up is heterogeneous and addresses topics, such as planning (Becker et al, 2017;Bohn and Terwiesch, 1999;Winkler et al, 2007), knowledge management (Fjällström et al, 2009;Yeleneva et al, 2018), personnel management (Säfsten et al, 2008) and product development, as well as change management (Schuh et al, 2017). However, it seems as if the role of the procurement department has not been in the center of the studies nor the opportunities provided by improved buyer-supplier communication.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The impact of buyer–supplier communication on production ramp-up performance

Gesell

Glas

Eßig

2021

JBIM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to examine how communication with suppliers influences performance during production ramp-up. Often, time, cost or quality targets are missed in production ramp-ups while the number and frequency of ramp-ups is further increasing. The goal of this paper is thus to contribute a better understanding if and to which extend communication content or communication relationship is affecting ramp-up performance. Design/methodology/approach The research uses data from a dyadic survey (N = 160) in the German automotive industry. The data set comprises responses from buyers and suppliers. Constructs, namely, information and relationship quality, as well as communication satisfaction, are measured. The effect of communication is evaluated referring to cost, quality and time dimensions of performance. The analysis is applied with structural equation modeling methodology. This research is complemented by a multigroup analysis (MGA) especially comparing buyer and supplier respondent groups. Findings The results indicate that communication satisfaction positively influences ramp-up performance and that information quality is of higher relevance than relationship quality. Briefly, information exchange (what information to transfer) is more important than relationship management (how to transfer information). This finding contrasts previous literature focusing on relationship factors in communication settings. Furthermore, findings from MGA sustain the findings, because effects are also analyzed from a supplier’s or buyer’s viewpoint. Overall, the findings imply that supplier communication in production ramp-up must of course provide a high level of information quality. However, to optimize ramp-up performance also a high level of relationship quality is required. Research limitations/implications This study featured data from the German automotive industry from buyer’s and supplier’s perspective. This limits its generalizability, yet provides opportunities to test the findings through longitudinal studies, potentially gathering data from other sectors. Practical implications This research recommends managers deliver high information quality to improve communication satisfaction. Hence, this survey provides support for business communication o enhance ramp-up performance to achieve success in buyer–supplier relations. Originality/value Besides the original dyadic database, this research addresses production ramp-up as a very dynamic process. Plans and forecasts change often, thus supplier communication takes place in a stress situation. Then, communicators might overstate information quality and lose sight of relationship quality. The study contributes to this field of research and postulates that (automatic, autonomous) data exchange requires behavioral and relational support. The findings are useful for companies in stress situation (e.g. also a pandemic supply crisis) and will avoid that the optimization of information exchange disregards the relationship aspect.

show abstract

Section: Hypothesis Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of buyer–supplier communication on production ramp-up performance

Gesell

Glas

Eßig

2021

JBIM

View full text Add to dashboard Cite

show abstract

“…Knowledge management is regarded as one of the substantial factors for successful ramp-up particularly for service companies [22]. Knowledge and information sharing have a major impact on the speed of adjustments and key decisions in ramp-up [23].…”

Section: Knowledge Managementmentioning

confidence: 99%

From Product to Service Ramp-Up Management

Héraud

Ahmadi

Medini

2022

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Ramp-up often requires the implementation of a new production sys-tem and some adaptations for the entire supply chain. It is also a major issue for service companies in both secondary and tertiary sectors. Although some of these companies are not confronted with the management of a new production system, they also have to face many difficulties during rampup. These difficulties are amplified by the growing uncertainties on the markets and the volatility of the customer demand. The current paper sheds light on common and diverging aspects of product and service ramp-ups as well as on solution approaches for service ramp-up management. As such, current research provides foundation for future research dealing specifically with service ramp-up.

show abstract

“…Актуальность приобретают современные средства автоматизации на основе микропроцессорной техники, например, числовое программное управление (ЧПУ) станками «АксиОМА», позволяющее обеспечить повышение производительности и снижение трудоемкости реализуемых технологических процессов [5]. Особую роль приобретает математическое моделирование систем управления технологическим оборудованием, его элементами для обеспечения заданных параметров обработки 2 .…”

Section: Introductionunclassified

Digitalization of Agricultural Machinery Rehabilitation

Khoroshko

Kuznetsov

2020

Engineering Technologies and Systems

View full text Add to dashboard Cite

Introduction. The aim of the study is to develop the basic principles for digitalization of the processes of providing the diagnostics and repair of agricultural machinery. Materials and Methods. The specifics of agricultural machinery functioning are work in worst-on-worst operating conditions, such as significant abrasive contamination (soil particles, dust and other substances), operation in the conditions of exposure to natural climatic conditions, intensive use during the work shift and other factors that result in a regular need for testing and repairing. These factors significantly extend the time of maintenance and repair works. The study of the information environment for planning the distribution of agricultural machinery by repair enterprises has showed that the methods of this activity are not sufficiently developed. The authors propose a solution to the problem of rational distribution of agricultural machinery for repair and rehabilitation. Results. This article describes the main principles for developing structural relationships of databases used to find rational solutions for organizing repair and rehabilitation of agricultural machinery. Due to the fact that the solution of such a problem is time-consuming and is carried out under conditions that dynamically change over time, a mathematical model for the production environment of repair organizations is proposed, which is implemented by means of computer technology. The requirements for models describing the state of the production system of repair organizations are defined. A model of a generalized production system is proposed. Discussion and Conclusion. The model developed by the authors allows increasing the automation level of processes of distributing agricultural machinery by repair enterprises. The implementation of a new approach to planning repair works and distributing repairable agricultural machinery by repair enterprises will increase the efficiency of repair works, improve their quality parameters, reduce time, and optimize the structure of technological equipment of repair enterprises.

show abstract

Corporate knowledge management in Ramp-up conditions: The stakeholder interests account, the responsibility centers allocation

Cited by 13 publications

References 21 publications

The impact of buyer–supplier communication on production ramp-up performance

The impact of buyer–supplier communication on production ramp-up performance

From Product to Service Ramp-Up Management

Digitalization of Agricultural Machinery Rehabilitation

Contact Info

Product

Resources

About