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Mobile Service of Big Data can be supported by the fused technologies of computing, communication and digital multimedia. The purpose of this paper is to propose new agent-based proactive migration method and system for Big Data Environment (BDE).

First, the authors have designed new relative fusion method for making decision based on fuzzy-neural network. The method can make the fusion belief degree to be improved. Then the authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. Finally, the authors have designed the application system, which can support proactive seamless migration function for big data. The method has innovation in which mobile service task of big data can dynamically follow its mobile user from one device to another device.

The authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. The method has innovation in which mobile service task of big data can dynamically follow its mobile user from one device to another device. The designed system is convenient to work and use during mobility, and which is useful or helpful for mobile user in the BDE.

The authors have clarified and realizes how to transfer service tasks among different distances in Big Data Environment (BDE). The authors have given a formal description and classification of the mobile service task, which is independent of the realization mechanism. In the designed and developed application system, the new idea adopts fuzzy-neural control theory to make decision for task-oriented proactive seamless migration application.

The article aims to identify differences in consumers' evaluations of goods made in either the USA or China at different levels of analysis; to trace variations in consumers' evaluations with regard to various cues characterizing US or Chinese goods; and to provide a comparison of consumers' evaluations between US and Chinese goods at different levels of analysis and across different product cues.

The study builds hypotheses that correspond to each of the three research objectives. Information was received through personal interviews from a sample of 404 British consumers, aged 18 years and above. Respondents were randomly selected at central locations using a systematic stratified procedure. Data were gathered using a structured questionnaire, with questions focusing separately on the USA and China, at five different levels of analysis, and in six different categories of product cues. Using confirmatory factor analysis, the reliability and validity of the scales were found to be satisfactory. The hypotheses were tested using either student‐t or ANOVA statistics.

The results provide support to all three hypotheses, revealing that there are significant differences in consumer evaluations across the various levels of analysis, caused mainly by the brand, which overshadows country‐of‐origin effects in the case of the USA, but emphasizes these effects in that of Chinese goods.

The results of the study have serious implications for corporate and public policy‐makers, especially for the countries involved in the analysis. These implications should be seen within the context of various geographical, product, time, and other limitations, which provide the basis for undertaking future research on the subject.

As opposed to extant research on country‐of‐origin effects, the study offers a multi‐level and multi‐cue comparison for products manufactured by two major actors in the international trade arena (USA and China), as these are perceived by consumers living in an important developed market (the UK).

This paper aims to analyse how the inherent design of the Balanced Scorecard (BSC) violates the controllability principle. The management control literature provides convincing examples of actors who breach controllability without intention. This discussion was extended by the example of the BSC. This paper focusses on the breaches that occur when actors lack the awareness or the skills to re-enforce controllability.

Taking a pragmatic-constructivist position, analytical and empirical evidence was included on controllability to analyse the normative literature on the BSC.

It was found that the BSC causes several unintended breaches of the controllability principle at the level of middle managers, both ex ante (control rationale) and ex post (fairness rationale). These breaches are not only situational or induced by how managers in the field design a BSC. They appear to be inherent in the BSC due to the way Kaplan and Norton have conceptualised it.

Practitioners are alerted that the intuitive appeal of popular management fashions such as the BSC covers their conceptual flaws. It was also proposed that failed implementations and dysfunctional applications can be due to the inherent characteristics of the concepts themselves.

This paper contributes by uncovering the unintended violations of the controllability principle by the inherent characteristics. The authors suggest using our conceptual contribution to conduct empirical research on the issues of controllability and management control systems in general. Thereby, the theory-based discussion on the BSC is advanced (Nørreklit, 2000, 2003; Nørreklit et al., 2012a).

Purpose – The marketing literature does not provide a satisfactory explanation for the role of consumer's attention in the process of how Country-of-Manufacture (COM) information influences consumer product evaluations. The research contributes to an improved understanding of this process by integrating the construct of “attention to Country-of-Manufacture” into the model and examining its relationship with the influence of COM.

Design/methodology/approach – Survey data are collected from American consumers aged 18 years and above. To test the research hypotheses, MANOVA and canonical correlation analysis are performed in analyzing the data.

Findings – COM has more influence on the attentive group (consumers consciously paying attention to the COM information on a product label), on their evaluations of abstract product attributes such as durability and reliability than it does on the inattentive group (consumers not paying conscious attention to such information). In contrast, COM's influences on evaluating concrete product attributes such as style, model, availability, and quality are all significantly related to involvement with COM, but not to attention.

Research limitations/implications – The product assessments sought from respondents are generally on “foreign” products. Future research needs to obtain product-specific evaluations within each product category in testing the model and see how the results may differ or not differ across product categories.

Practical implications – Marketers selling products with high performance in abstract attributes such as durability and reliability should increase consumers’ attention to the COM through effective product labeling.

Originality/value – This research identifies and empirically investigates the difference of COM effects on consumers’ product judgment between consumers who are attentive and the ones who are inattentive to COM information.

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects.

Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored.

The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect.

Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators.

In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated.

The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated.

Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.

The prediction of stock market (SM) indices is a fascinating task. An in-depth analysis in this field can provide valuable information to investors, traders and policy makers in attractive SMs. This article aims to apply a correlation feature selection model to identify important technical indicators (TIs), which are combined with multiple deep learning (DL) algorithms for forecasting SM indices.

The methodology involves using a correlation feature selection model to select the most relevant features. These features are then used to predict the fluctuations of six markets using various DL algorithms, and the results are compared with predictions made using all features by using a range of performance measures.

The experimental results show that the combination of TIs selected through correlation and Artificial Neural Network (ANN) provides good results in the MADEX market. The combination of selected indicators and Convolutional Neural Network (CNN) in the NASDAQ 100 market outperforms all other combinations of variables and models. In other markets, the combination of all variables with ANN provides the best results.

This article makes several significant contributions, including the use of a correlation feature selection model to select pertinent variables, comparison between multiple DL algorithms (ANN, CNN and Long-Short-Term Memory (LSTM)), combining selected variables with algorithms to improve predictions, evaluation of the suggested model on six datasets (MASI, MADEX, FTSE 100, SP500, NASDAQ 100 and EGX 30) and application of various performance measures (Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error(RMSE), Mean Squared Logarithmic Error (MSLE) and Root Mean Squared Logarithmic Error (RMSLE)).

To be utilized effectively in decision-making processes, management accounting (MA) information should fit the business context and at the same time reflect the roles, responsibilities and values of the actors taking part in the decision-making. This study aims to investigate the limitations for MA information utilization in decision-making. In particular, this study explores limitations stemming from the decision-making process structure and the involvement of several managerial actors.

An exploratory case study of an energy company and its customer company illustrates the current challenges in providing and integrating MA information into decision-making. The analysis is focused on the analytical and actor-based features of the decision-making and thus the limitations for MA information utilization. As a part of the broader research process, the researchers facilitated a meeting in the customer company, where the actors relevant to investment decisions discussed the current limitations in utilizing MA information.

Analytical and actor-based features may take different forms in the decision-making. Some relevant MA information may not be included in an organization’s decision-making process structure that allows merely conventional, yet analytical, decision alternatives. At the same time, certain actors’ viewpoints (such as sustainability metrics) can be excluded from the process without considering the logic behind the exclusion. This case study identifies the following limitations, largely related to insufficient actor-based features in the decision-making: managers may lack expertise in the use of MA tools, managerial interaction may lack reflection on taken-for-granted assumptions, different managers may appreciate different scope, content and timing of MA information and the process structure can ignore the required managerial viewpoints.

This study demonstrates that both the decision-making process structure and the needs of the several actors involved may lead to limitations for MA information utilization. Although many limitations stemmed from the insufficient actor-based orientation in the case study, introducing new MA analyses and extending the validity of analytical approaches may also help overcome some of the limitations. Further research should address possibilities to integrate different actors’ viewpoints with MA information already in the decision-making process structure, find ways to introduce MA information on unconventional decision alternatives and enable reflection among and about relevant actors with respect to decision-making. These means could lead to more effective utilization of MA information for decision-making and, consequently, economically viable decisions.

This study addresses the limitations in MA information utilization by combining the viewpoints of analytical decision-making processes and reflective actors, and thus unveils possibilities for enhancing MA practice.

The cost of customer acquisition is one of the largest expenses that service firms incur due to loss-generating quotes/proposals. This paper aims to connect interactive marketing communications channels with increased customer acquisition and non-interactive marketing communications channels with decreased customer acquisition by service firms.

Two field studies using hazard models were used to assess the probability of acquiring a new customer after the prospect first contacts the firm. Multiple discrete hazard models were used to compare channels against each other.

Three interactive marketing communications channels (word-of-mouth, online review forum, search engine optimization) increased the rate of acquiring a customer over time. I also compared non-interactive channels (billboard/signage, direct mail), but the analysis did not reveal any significant impact on acquisition rate by the non-interactive marketing communications channels.

The present study illustrates why the cost of acquisition is so high in the service sector and takes the unique step of linking interactive marketing communications channels with higher customer acquisition rates over time in a services context. Specifically, interactive marketing channels enable customers to find firms that offer the attributes that they seek, thereby increasing acquisition probabilities and decreasing acquisition costs.

Although recent years have seen a considerable increase in the number of people living in abominable conditions as well as a rapid increase in the incidence of natural disasters rendering thousands of people homeless, few architects are aware of the possible contribution they could make to both development and humanitarian relief. This paper focuses on a particular series of educational workshops for architects and architecture students interested in the field of development and participatory practice: the Summer Schools organised by Architecture Sans Frontières - UK, a not-for-profit organisation that focuses on both equitable and sustainable approaches to development. It looks at the observations from the participants on the workshops and building exercise of one particular ASF-UK Summer School focusing on ‘Vulnerability and Risk: Rebuilding Communities after Disaster’ held between the first and the sixth of September 2006, at the Eden Centre in Cornwall, in collaboration with International Development in Extreme Environments (IDEE), discussing the aims and setup of this workshop, the lessons it attempted to bring across as well as participants' experiences.

Even though there is much information available with regard to the development of the therapeutic community (TC) for addictions in Europe, little is known about the particular situation in Denmark.The paper aims to discuss this issue.

In order to address this dearth, the methodology of the following historical account is largely based on an interview and personal contacts with Hanne Holm Hage-Ali, current director of TC Opbygningsgården and star witness of the development of TC in Denmark.

In 1971, the Freetown “Christiania”, Copenhagen, where TC Opbygningsgården started up, was based on communal, anarchic and hippie ideas and values. In the beginning, TC Opbygningsgården was not well accepted by TC pioneers promoting the classic hierarchical TC, as it was seen as a social experiment with anti-authoritarian roots. Later, in its turn, it became influenced by TCs Veksthuset and Phoenix House Haga, Norway, which were part of the common European TC movement. At this moment, TC Opbygningsgården functions as a well-accepted member of the European Federation of Therapeutic Communities.

The interview revealed information that it is line with current trends in and challenges for TC throughout Europe, as outlined in a recent EMCDDA study: TC in Europe can be considered as “children of the late sixties”; TCs are embedded in the anti-psychiatric movement, existentialism and the promotion of alternative community living; European TC leaders had different origins and professional background; and the TC never belonged to one religion or ideology. The common human value system always transcended the different visions.

This paper aims at addressing the dearth in knowledge on the development of TCs in Denmark.