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This paper aims to investigates a process called “migration management.”, which the authors, Strategos consultants, believe that most companies need to link strategy development and strategy execution.

Migration management employs two core perspectives to achieve better strategy implementation – a “future state” description considers identity and a “migration path” charts action.”

By creating and properly using clear statements of desired future identity and sequenced, interrelated paths of action programs within management processes oriented toward learning and adaptation, companies have been able to overcome the dilemmas and challenges associated with traditional approaches to strategy implementation.

With the intermediate future state and the overall migration path as guides, managers can translate the migration path programs into specific projects and initiatives.

The paper introduces the “future state” concept, which articulates what a knowledgeable observer would write if asked to describe the successful company and its new competencies at the end of the strategy time horizon. The paper describes the process for designing the migration path, the roadmap for getting to the “future state” from the present.

The purpose of this study is to explore market entry strategies in a high-tech successive generations (HTSGs) market, by investigating entry mode via entry timing and path differentiation and the performance outcomes of entry mode.

The methodology of building a theory from a longitudinal case study is adopted by using useful cases in a HTSGs market after constructing an integrated research framework to explore market entry mode. Different entry modes were investigated by studying entry timing and migration path of three firms’ case in logic semiconductor market. In addition, performance outcomes of different entry modes were measured and correlated with each other.

The results identified three major entry modes suitable for a HTSGs market. The three firms differentiated their entry modes by exploiting different entry timings from the earliest to the last and different migration paths including switching, leapfrogging and new entrance path to enter a market. First mover advantage also exists in a HTSGs market, and it was found uniquely that the financial performance denoted by entry mode outcomes was correlated with technological knowledge.

This study extends the theory of extant entry strategy from general consumer or industrial market to HTSGs market, in which intense competition exits and technological innovation is important. Moreover, this study verified that the causality between early entry and positive performance was also effective in HTSGs market with a shorter duration of early entry advantage.

This study has managerial implications for firms to establish market entry strategy in HTSGs market and other markets. To become a product leader, a fast follower or a late follower, firms can differentiate their entry mode by adjusting the entry timing and migration path in the context of market and technology.

This study examined market entry strategies suitable for HTSGs market based on its unique characteristics and extended relevant theory into HTSGs market. Further, an integrated research framework, which explores the market entry mode, was constructed to facilitate further exploration of entry mode into other markets.

The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet).

In MONet, the middleware level of each network node autonomously adjusts its routing parameters according to dynamic network conditions and seeks optimal trade-offs among performance objectives for a balance of its global performance. MONet controls the cooperation between agents (network nodes) while varying transmission paths to reduce and distribute power consumption equitably on all the sensor nodes of network. MONet-runtime uses a modified TinyDDS middleware platform.

Simulation results confirm that MONet allows power efficiency to WSN nodes while adapting their sleep periods and self-heal false-positive sensor data.

The framework implementation is lightweight and efficient enough to run on resource-limited nodes such as sensor nodes.

The theoretical contribution provided by the transitional theories has fundamentally helped develop a better understanding of the migration process, by showing how migration is interacting with other processes of development. They show that along with development, emigration is following an upside down ‘U’ shaped pattern, being overreached by immigration, while the region changes its migration profile from emigration to immigration. This was the case for the southern European states, which followed a rapid migration transition during the second half of the twentieth century. After large emigration to Western and Northern Europe, these managed to attract large immigration flows from the less developed countries in Africa and Latin America, but also from Eastern Europe after the fall of communist regimes. This chapter aims to test whether Eastern Europe is heading to the same migration transition pattern as the South and change their current status of net migration provider. Thus, the impact of the migration transition drivers in explaining net migration balance is analysed using a panel data for the 2000–2013 period. As a country can encompass both emigration and immigration regions, the current analysis is carried out at European Union (EU) regional level data (NUTS II), while controlling for the regional specifics and unobserved time effects. Overall, most of the factors which led to the migration shift, from emigration to immigration, in Southern Europe were proven to be fundamental at EU regional level as well. Migration flows were shown to be more sensitive to unemployment, urbanisation, segmentation of the labour market and active population share in the eastern as compared to the southern European regions. Nevertheless, accessing the transition drivers evolution during 2011–2013 period, eastern regions are still highly unattractive and their chances for becoming destination regions are currently at low levels.

The aim of this paper is to introduce the CLEVER process framework for knowledge lifecycle management (KLM), which was developed to help organisations in the manufacturing and construction domains tackle ill‐defined knowledge management problems. Focussing on organisational and cultural issues, rather than technological ones, the framework aids the user organisation to translate vague KLM problems into a set of specific knowledge management issues, to identify preferred solutions for these, and then to identify the appropriate KLM processes to achieve these solutions. In this respect, the paper is an extension of the work of Boisot, and Davenport and Prusak although the origins are different. The paper begins with the background and aims of the project on which this research is based and moves on to a discussion on the importance of knowledge management and its relevance to the CLEVER framework. An overview of the framework, describing its four‐stage structure is provided which details examples of how to apply each of the separate stages. The final section summarises the limits of the tool and proposes new areas where further research is required.

The purpose of this study is to propose extended potentials and investigate the applicability of extended Finnis–Sinclair (FS) potential to Cr with the unit cell structure of body-centered cubic (BCC Cr).

The parameters of each potential are determined by fitting the elastic constants, cohesive energy and mono-vacancy formation energy. Furthermore, the ability of the extended FS potential to describe the crystal defect properties is tested. Finally, the applicability of reproducing the thermal properties of Cr is discussed.

The internal relationship between physical properties and potential function is revealed. The mathematical relationship between physical properties and potential function is derived in detail. The extended FS potential performs well in reproducing physical properties of BCC Cr, such as elastic constants, cohesive energy, surface energy and the properties of vacancy et al. Moreover, good agreement is obtained with the experimental data for predicting the melting point, specific heat and coefficient of thermal expansion.

In this study, new extended potentials are proposed. The extended FS potential is able to reproduce the physical and thermal properties of BCC Cr. Therefore, the new extended potential can be used to describe the crystal defect properties of BCC Cr.

Conventional rule‐based systems are insufficient for description of complex dynamic systems requiring nontrivial decision procedures. Fuzzy cognitive maps seem to be convenient to overcome these limitations. However, they lack ability of self‐learning and therefore some adaptation approaches are needed. The purpose of this paper is both to show the use of fuzzy cognitive maps for such systems and to present migration algorithms as convenient adaptation means.

Some problems of a complex dynamic system description by knowledge‐based means are discussed. Fuzzy cognitive maps are presented as a possible way to solve these problems followed by description of migration algorithms as their adaptation means. Their use is clarified on an example of the so‐called parking problem based on path planning using a graph search algorithm and a traffic simulation system.

After series of simulations the reality of the proposed system and selected methods with their modifications was proved. It has shown the robustness of the presented solution under circumstances of uncertainty, too.

The paper points to stability investigation of the proposed approach introducing uncertainties into the traffic simulation system to take into account, e.g. unexpected events. Further, a possibility of developing a linguistic information retrieval system is mentioned.

The proposed approach can find various implementations not only in planning tasks but also in robotic navigation and multi‐agent applications in general. In addition, it suggests possibilities of knowledge‐based systems, directly using human‐like approaches, to areas of decision making under uncertainties and contradictories.

An new modification of migration algorithms for adaptation of parameters for fuzzy cognitive maps is introduced and compared to other known self‐learning methods. Further, the concept of a traffic simulation system for path planning is presented.

This study examines credit score migration rates of farm businesses, testing whether migration probabilities differ across business cycles. Results suggest that agricultural credit ratings are more likely to improve during expansions and deteriorate during recessions. The analysis also tests whether agricultural credit ratings depend on the previous period migration trends. The findings show that credit score ratings exhibit trend reversal where upgrades (downgrades) are more likely to be followed by downgrades (upgrades).

The purpose of this paper is to explore the data connection, spatial distribution characteristics and trends in genealogical information. First, it implements a spatial-temporal visualization of the Hakka genealogical information system that makes these individual family pedigree charts appear as one seamless genealogy to family and researchers seeking connections and family history all over the world. Second, this study applies migration analysis by applying big data technologies to Hakka genealogies to investigate the migration patterns of the Hakka ethnic group in Taiwan between 1954 and 2014. This innovative library service enhances the Hakka genealogical migration analysis using big data.

The platform is designed for the exchange of genealogical data to be used in big data analysis. This study integrates big data and geographic information systems (GIS) to map the population distribution themes. The general procedure included collecting genealogical big data, geographic encoding, gathering the map information, GIS layer integration and migration map production.

The analytical results demonstrate that big data technology is highly appropriate for family migration history analysis, given the increasing volume, velocity and variety of genealogical data. The spatial-temporal visualization of the genealogical research platform can follow family history and migration paths, and dynamically generate roadmaps to simplify the cartographic steps.

Technology that combines big data and GIS is suitable for performing migration analysis based on genealogy. A web-based application for spatial-temporal genealogical information also demonstrates the contribution of innovative library services.

Big data play a dominant role in library services, and in turn, provide an active library service. These findings indicate that big data technology can provide a suitable tool for improving library services.

Online genealogy and family trees are linked with large-volume, growing data sets that are complex and have multiple, autonomous sources. The migration analysis using big data has the potential to help genealogy researchers to construct minority ethnic history.

Germany has become one of the major destination countries for labour migration within the European Union. The German government introduced temporary restrictions on labour migration after the eastern enlargement rounds of 2004 and 2007. These barriers had little impact on the overall volume of labour mobility. Rather they were accompanied by new “atypical” forms of mobility through the posting of workers, self-employment and seasonal workers, which according to EU rules are covered only by a minimum of host country regulations. The combination of temporary restrictions on regular migration and the opportunities through atypical mobility created strong incentives for companies to engage in ‘regime shopping’ strategies. This contributed to a considerable growth in outsourcing, subcontracting and flexible use of external labour added to pre-existing dynamics of low-wage competition, segmentation and fragmentation in the German labour market. Using data on the different forms of intra-EU migration to Germany, the article analyses the different paths that labour migration has frequently used since the fall of the Iron Curtain. First, it maps the changes in magnitude, character and direction of intra-EU labour mobility to Germany and the relative weight of the different channels through which such movements occurred from 2000 to 2015. Second, the article discusses the various responses by the government by the extension of collective agreements and the statutory minimum wage.