Niall O'Riordan, Paul Ryan and Ulf Andersson
The authors’ contention in this paper is that the expression of subsidiary strategy in IB literature has become fragmented and incomplete. Therefore, this study aims to propose a…
Abstract
Purpose
The authors’ contention in this paper is that the expression of subsidiary strategy in IB literature has become fragmented and incomplete. Therefore, this study aims to propose a rethink on how IB scholarship approaches the important issue of subsidiary strategy by holistically examining the discrete and integrated set of activities, choices and decisions that constitute the subsidiary strategy process for, in this context, assuming a competence-creating role within the multinational enterprise (MNE).
Design/methodology/approach
A conceptual model is designed to illustrate the holistic process of subsidiary strategy from assigned to assumed role and how a subsidiary can navigate a pathway to elevated performance and survival.
Findings
The paper identifies the key integrated elements that constitute a holistic strategic process that can enhance a subsidiary’s standing within the MNE and maximise its survival prospects.
Research limitations/implications
Particular focus is placed on subsidiaries that strategise to advance their internal corporate role to competence creator via upgraded knowledge capabilities.
Originality/value
This paper offers a roadmap for IB scholars to contribute to a future discourse around the subsidiary strategy process for assuming a competence-creating role.
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C. Andersson, B. Vandevelde, C. Noritake, P. Sun, P.E. Tegehall, D.R. Andersson, G. Wetter and J. Liu
The purpose of this paper is to assess the effect of different temperature cycling profiles on the reliability of lead‐free 388 plastic ball grid array (PBGA) packages and to…
Abstract
Purpose
The purpose of this paper is to assess the effect of different temperature cycling profiles on the reliability of lead‐free 388 plastic ball grid array (PBGA) packages and to deeply understand crack initiation and propagation.
Design/methodology/approach
Temperature cycling of Sn‐3.8Ag‐0.7Cu PBGA packages was carried out at two temperature profiles, the first ranging between −55°C and 100°C (TC1) and the second between 0°C and 100°C (TC2). Crack initiation and propagation was analyzed periodically and totally 7,000 cycles were run for TC1 and 14,500 for TC2. Finite element modeling (FEM), for the analysis of strain and stress, was used to corroborate the experimental results.
Findings
The paper finds that TC1 had a characteristic life of 5,415 cycles and TC2 of 14,094 cycles, resulting in an acceleration factor of 2.6 between both profiles. Cracks were first visible for TC1, after 2,500 cycles, and only after 4,000 cycles for TC2. The crack propagation rate was faster for TC1 compared to TC2, and faster at the package side compared to the substrate side. The difference in crack propagation rate between the package side and substrate side was much larger for TC1 compared to TC2. Cracks developed first at the package side, and were also larger compared to the substrate side. The Cu tracks on the substrate side affected the crack propagation sites and behaved as SMD. All cracks propagated through the solder and crack propagation was mainly intergranular. Crack propagation was very random and did not follow the distance to neutral point (DNP) theory. FEM corroborated the experimental results, showing both the same critical location of highest creep strain and the independence of DNP.
Originality/value
Such extensive work on the reliability assessment of Pb‐free 388 PBGA packages has never been performed. This work also corroborates the results from other studies showing the difference in behavior between Pb‐free and Pb‐containing alloys.
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Sung Yi and Robert Jones
This paper aims to present a machine learning framework for using big data analytics to predict the reliability of solder joints. The purpose of this study is to accurately…
Abstract
Purpose
This paper aims to present a machine learning framework for using big data analytics to predict the reliability of solder joints. The purpose of this study is to accurately predict the reliability of solder joints by using big data analytics.
Design/methodology/approach
A machine learning framework for using big data analytics is proposed to predict the reliability of solder joints accurately.
Findings
A machine learning framework for predicting the life of solder joints accurately has been developed in this study. To validate its accuracy and efficiency, it is applied to predict the long-term reliability of lead-free Sn96.5Ag3.0Cu0.5 (SAC305) for three commonly used surface finishes such OSP, ENIG and IAg. The obtained results show that the predicted failure based on the machine learning method is much more accurate than the Weibull method. In addition, solder ball/bump joint failure modes are identified based on various solder joint failures reported in the literature.
Originality/value
The ability to predict thermal fatigue life accurately is extremely valuable to the industry because it saves time and cost for product development and optimization.
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Roy Andersson and Yinef Pardillo-Baez
Modern supply chains are at risk as a result of increasing disturbance. The use of Lean and Six Sigma’'s values, methods and tools can be one option to analyze, prevent and…
Abstract
Purpose
Modern supply chains are at risk as a result of increasing disturbance. The use of Lean and Six Sigma’'s values, methods and tools can be one option to analyze, prevent and mitigate risks. The purpose of this study is to investigate whether a combined Lean Six Sigma philosophy can support the awareness and management of supply-chain risk.
Design/methodology/approach
The methodology followed in the study is based on a literature review and multiple case study, performed by means of qualitative methods of data collection, such as observations on-site, face-to-face interviews and document analysis. Case selection includes the results of research conducted in seven large Swedish companies.
Findings
It has been indicated that Lean and Six Sigma values, methods and tools can be very effective in companies’ efforts to control the supply-chain risks and that they improve the companies’ ability to handle variability and risk management. Lean Six Sigma supports a risk-management culture in the focal companies, but they must involve customers and companies in the supply chain if they wish to create a risk-management culture in the entire supply chain. In order to do this, they can use the Six Sigma training structure, but they need to include more risk tools and methods developed for the supply chain management. It has also been indicated in the literature that if more people involve in 6S projects, the financial results will be better, and the innovation of processes will increase.
Research limitations/implications
These include suggestions for how the companies can use the Six sigma training structure to collaborate in the supply chain.
Practical implications
This study gives practical suggestions for how the companies in supply chain can collaborate and use the Six Sigma training structure for creating a more holistic view of supply chain, which also decrease risks in supply chain.
Originality/value
This study indicates that Lean Six Sigma supports risk awareness and management in the focal companies of the supply chains, which improves companies’ ability to handle variability and risk management. It has also been demonstrated that the companies should use the Six Sigma framework, especially training, as a foundation, and they should create common projects for better collaboration in the supply chain, which will decrease the risks in the entire supply chain.
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Reasonable remuneration of employee inventions is a controversial issue causing court litigations among employees and employers in many countries. The paper aims to shed light on…
Abstract
Purpose
Reasonable remuneration of employee inventions is a controversial issue causing court litigations among employees and employers in many countries. The paper aims to shed light on the missing economic interpretation of the reasonable remuneration of employee inventions. Specifically, it focuses on the concept of “reasonability” at the issue.
Design/methodology/approach
In an empirical qualitative multiple case-study setting, the paper explores inductively Czech corporate employee inventors' remuneration systems, using typological analysis and M. Weber's interpretative theoretical construct of “ideal type.”
Findings
At the first level, reasonability is a function of multi-amount rewarding, a certain level of total remuneration and identifiable benefits being a decisive factor. Additionally, the reasonability is conceptualised as a function of two dimensions – timing/risk and benefit–reward relation. At the second level, the reasonability is interpreted as a concept balancing seven points of view: timing, materiality, equity, risk management, transparency, system costs and exactness. At the third level, the paper offers an optimal remuneration system like the one that optimises developed seven-criterion framework.
Research limitations/implications
Even if analysed within one-country and nine-company context, the insights are generalisable across a broader sample of countries with statutory rules for employee inventions. Studying more cases may enrich the findings. The findings are based merely on a rational perspective and do not deal with psychological aspects of employees.
Practical implications
The results may be helpful for intellectual property or R&D managers in building or reorganising employee invention remuneration systems within corporations. The developed seven-criteria model can serve as a discussion framework; the suggested optimal system as a reference point. The results may serve as well to consultants, judges or other parties involved in currently growing employee–employer controversies and litigations. The analysis may fuel public policy decisions, too.
Originality/value
The paper brings unique and detailed empirical insights into the issue of employee inventions. It offers a complex multi-perspective (employee/employer) framework through which the reasonability can be discussed and suggests an optimal system, which can serve as a reference point.
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The purpose of this report is to present the critical factors necessary for process improvement in pharmaceutical research.
Abstract
Purpose
The purpose of this report is to present the critical factors necessary for process improvement in pharmaceutical research.
Design/methodology/approach
Cross‐organizational process improvement projects, which can increase productivity as well as shorten cycle time in drug discovery, are used to determine the critical factors for success. A morphological analysis is conducted on these critical factors followed by KeyGraph visualization in a post‐process improvement survey.
Findings
Four scenarios, which are beneficial for process improvement, are explored through application of the KeyGraph. The critical factors identified are project scheduling, automation, resource management, and process improvement methodology. The project leaders also addressed critical factors, such as top management support, shared goals, and a data‐driven approach. The step for improvement is in alignment with the typical quality improvement process in most process improvement initiatives.
Originality/value
The identified critical factors for success provide a guide to process improvement during pharmaceutical research. In addition, the KeyGraph framework provides a practical approach to discovering the factors that contribute to success.
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V. Arumugam, Maneesh Kumar, Manisha Kumar and Nicholas Rich
To investigate the factors affecting innovation in Six Sigma improvement teams. Based on Activation Theory, this study explores the possibility of an inverted U-shaped association…
Abstract
Purpose
To investigate the factors affecting innovation in Six Sigma improvement teams. Based on Activation Theory, this study explores the possibility of an inverted U-shaped association between psychological safety and innovation and examines how intrinsic motivation moderates this relationship.
Design/methodology/approach
Moderated regression analysis is carried out to test the curvilinear relationship, using data collected from 324 members of 102 Six Sigma improvement teams from two European manufacturing firms.
Findings
The findings demonstrate that the beneficial effect of psychological safety reaches an inflection point, after which its relations with innovation cease to be linear and positive; this gives the relationship a curvilinear pattern (inverted U-shaped). Further, intrinsic motivation has a supportive effect in enhancing the beneficial impact of psychological safety on innovation, and in shifting the inflection points to a higher level; this demonstrates their synergetic influence on innovation.
Originality/value
The impact of psychological safety on innovation is examined from the new perspective of a curvilinear relationship. This is one of the first studies to investigate the combined effects of individual (intrinsic motivation) and team-level antecedents (psychological safety) on innovation in Six Sigma teams. The study provides insights into how Six Sigma enhances innovation and offers some valid inputs to the current academic debate on this topic.