Search results

The purpose of this paper is to examine to what extent national intangible capital (NIC) explains GDP growth and to assess its impact on GDP formation in different countries. The paper brings a new perspective to explaining hidden economic drivers.

The paper introduces a new theoretically and computationally justified method, so-called ELSS model that is based on expansion and augmentation of the Cobb-Douglas production function with a wide range of NIC indicators. The method is applied by using the database that contains NIC indices for 48 countries covering the period from 2001 to 2011.

The results show that intangible capital accounts for 45 per cent of world GDP. The figure for the USA is 70.3 per cent and for the European Union 51.6 per cent. The Nordic countries stand out with a higher figure at 64.7 per cent, with NIC contributing to 72.5 per cent of GDP in Sweden, 69.7 per cent in Finland and 67.6 per cent in Denmark.

The expanded Cobb-Douglas production function is sensitive to valuations of capital inputs and sensitive to estimates of production shares for various augmenting and expanding inputs. Therefore further work is needed to develop and test methodologies for the assessment of all of these.

ELSS production function helps to give a realistic picture of the value and impact of NIC and accordingly gives evidence for accurate investment decisions for the future.

The method will help policy makers figure out what steps are needed to reduce the cross-country NIC differences.

The authors have uncovered the value of NIC beyond monetary inputs, and at the same time taken account of country specifics. The ELSS formula is comprehensive yet not too complicated to replicate. The approach significantly contributes to the development of the current research tradition into intangibles.

The purpose of this paper is to show that steering overall performance requires not only juxtaposing indicators focused on economic, social and environmental performance but also negotiating the measurement of performance metrics with all the stakeholders.

This is an action-research and intervention-research project aimed at experimenting an integrated and negotiated management control system for overall performance. The choice for the case study is a hospital in the Middle East that practices green management and that has to be self-financed while accepting all patients, even those who cannot pay.

The integration of the three dimensions of overall performance requires involving all stakeholders in the implementation of innovative management control.

The case is a pilot experiment and shows the conditions for an appropriate design of an overall performance management control methodology. However, further experiments should be carried out to shed light on the factors that form invariants regarding integrated performance log-books.

The study design is that of a management control methodology that enables the short- and long-run economic impacts of social and environmental performance.

The action-research process has proved to be a learning experience for the hospital and both internal and external stakeholders. However, replicability remains to be proven through experimenting the method in various settings.

This paper shows the need for negotiation of overall performance with all stakeholders to design and implement an appropriate participative approach to management control.

Until recently, occupiers have ignored the financial benefits real estate can add to the value of their firms. Corporate real estate (CRE) is now on the corporate agenda and CRE executives are being challenged by shareholders and senior management to employ best practice techniques to unlock the hidden value in the firm’s real estate portfolio. This paper offers a practical decision framework to allow this to happen and explores the potential for them and for real estate investors to capture this value. The paper is based on the author’s experience of advising occupiers and investors and his increasing knowledge of corporate finance principles.

A cost-effective way to achieve fuel economy is to reinforce positive driving behaviour. Driving behaviour can be controlled if drivers can be alerted for behaviour that results in poor fuel economy. Fuel consumption must be tracked and monitored instantaneously rather than tracking average fuel economy for the entire trip duration. A single-step application of machine learning (ML) is not sufficient to model prediction of instantaneous fuel consumption and detection of anomalous fuel economy. The study designs an ML pipeline to track and monitor instantaneous fuel economy and detect anomalies.

This research iteratively applies different variations of a two-step ML pipeline to the driving dataset for hatchback cars. The first step addresses the problem of accurate measurement and prediction of fuel economy using time series driving data, and the second step detects abnormal fuel economy in relation to contextual information. Long short-term memory autoencoder method learns and uses the most salient features of time series data to build a regression model. The contextual anomaly is detected by following two approaches, kernel quantile estimator and one-class support vector machine. The kernel quantile estimator sets dynamic threshold for detecting anomalous behaviour. Any error beyond a threshold is classified as an anomaly. The one-class support vector machine learns training error pattern and applies the model to test data for anomaly detection. The two-step ML pipeline is further modified by replacing long short term memory autoencoder with gated recurrent network autoencoder, and the performance of both models is compared. The speed recommendations and feedback are issued to the driver based on detected anomalies for controlling aggressive behaviour.

A composite long short-term memory autoencoder was compared with gated recurrent unit autoencoder. Both models achieve prediction accuracy within a range of 98%–100% for prediction as a first step. Recall and accuracy metrics for anomaly detection using kernel quantile estimator remains within 98%–100%, whereas the one-class support vector machine approach performs within the range of 99.3%–100%.

The proposed approach does not consider socio-demographics or physiological information of drivers due to privacy concerns. However, it can be extended to correlate driver's physiological state such as fatigue, sleep and stress to correlate with driving behaviour and fuel economy. The anomaly detection approach here is limited to providing feedback to driver, it can be extended to give contextual feedback to the steering controller or throttle controller. In the future, a controller-based system can be associated with an anomaly detection approach to control the acceleration and braking action of the driver.

The suggested approach is helpful in monitoring and reinforcing fuel-economical driving behaviour among fleet drivers as per different environmental contexts. It can also be used as a training tool for improving driving efficiency for new drivers. It keeps drivers engaged positively by issuing a relevant warning for significant contextual anomalies and avoids issuing a warning for minor operational errors.

This paper contributes to the existing literature by providing an ML pipeline approach to track and monitor instantaneous fuel economy rather than relying on average fuel economy values. The approach is further extended to detect contextual driving behaviour anomalies and optimises fuel economy. The main contributions for this approach are as follows: (1) a prediction model is applied to fine-grained time series driving data to predict instantaneous fuel consumption. (2) Anomalous fuel economy is detected by comparing prediction error against a threshold and analysing error patterns based on contextual information.

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

This investigation aims to reframe the sizeable literature on barriers and drivers for energy efficiency measures (EEMs) and the phenomenon of the energy efficiency gap. The authors identify a gap between academic methods and industrial needs, as well as a neglect of the cultural dimension, despite its considerable impact. On the basis of this insight, the purpose of this paper is to integrate all of the various influences on industrial energy behavior previously identified in the literature in a refined energy cultures framework.

This paper includes a systematic literature review of research in the field of energy management, energy efficiency and cultural aspects within barriers and drivers of energy behavior. The authors select and refine an existing energy cultures framework for the industrial context. To meet industrial needs, the authors applied an ontology mapping of its core elements onto an international standard common for industrial energy management practice.

First, the authors present a refined framework for industrial energy cultures incorporating past barriers and drivers as factors. The framework enables an evaluation of attitude and behavioral aspects, underlying technologies, organizational culture and actions related to energy as a system of interdependencies. Second, the factors are ranked on the basis of the number of appearances and empirical metadata. Economic aspects such as “purchase, installment and hidden costs”, “general investment and risk behavior” and “regulatory conditions” are the highest ranked factors, but “existing knowledge about EEM”, “hierarchy approach: top down” and “environmental concerns” follow closely and represent cultural aspects, which are still underrated. Third, while illustrating a successful mapping onto a standardized process of continuous improvement, the authors also argue for heightened academia–practice efforts.

Reframing the energy efficiency gap as a problem of what aspirations play a role, what technology is chosen and how technologies are used should increase the level of implementation of EEMs in the real business world. Introducing the refined energy cultures framework serves as a starting point for future transdisciplinary collaboration between academia and practice.

Targeting the energy efficiency gap is an essential part of the sustainable development goals. The refined energy cultures framework allows for a better understanding of the industrial energy behaviors that are responsible for a significant share of a company’s success. The introduction of energy cultures serves as a starting point for future scholarly research within sustainability management accounting.

The investigation combines existing research streams, their concepts and their results about cultural aspects related to energy efficiency for both academics and practitioners. This review is the first to capture all of the various factors analyzed in academic literature using the energy cultures framework as a basis. The authors add to the theoretical development of that framework with its application to the industrial context. This is identified as a gap. Its refinement helps to holistically understand barriers and drivers of industrial EEMs to support its practical implementation.

In contrast to the predictions from the family business and the small- and medium-sized enterprise internationalization literatures, Hidden Champions are world-market leaders exhibiting a high share of exports. The purpose of this study is to analyze their strategy of internationalization of Hidden Champions in Germany and find that the international success and strong, sustained performance emanates from their product type, enabling to successfully pursue a niche strategy for differentiated premium products.

The authors first conceptually explore how Hidden Champions pursue strategic internationalization, and then analyze a sample of N = 2,690 Hidden Champions to examine why Germany has been able to generate the highest per capita share of Hidden Champions in the world.

The study finds that on both a micro and macro level, the strong and sustained performance of Hidden Champions is driven by product type and quality strategies. Niche strategies for a knowledge-intensive, technological product enable the firm to lock-in customers. However, to safeguard the internalization of highly specific quasi-rents, Hidden Champions enter foreign markets through fully owned subsidiaries, retaining control and residual property rights. The second finding of this paper is that Germany has succeeded in deploying its high level of human capital into the Mittelstand through highly skilled workers.

Unfortunately, no micro-level panel data are available. Still macro-level data beginning in the nineteenth century provide strong empirical support for the hypothesized causality.

This is the first paper to link the strong and sustained export performance of Germany to the Hidden Champions by examining the origins of the German Mittelstand model, dating back to the social, political and economic developments of nineteenth century.

This paper contributes to the theory of the relationship between human resource management (HRM) and innovation at small- to medium-sized enterprises (SMEs) by conducting a conceptual analysis of the question why Germany boasts by far the highest number of “Hidden Champion” SMEs. This is done by case studies from the army and public financial management of aid disbursal in developing countries. Implications for HRM at SMEs are discussed.

Conceptual analysis using case studies.

Contributing towards filling the gap concerning theoretical underpinnings of the link between HRM and innovation, we suggest that interdisciplinary work from relevant organisational case studies indicates that the concept of institutional design to provide motivational incentives may be relevant, especially concerning high performance systems with bundles of HRM practices. Specifically, the fundamental principle of subsidiarity is found to be important.

The research is broadly applicable to organisations of all kinds, as the diverse case studies indicate. We point towards tentative implications for the firms that account for the majority of the work force, namely SMEs, and among them the most successful ones, the so-called “Hidden Champions”.

HR managers can improve motivation, performance and innovation by decentralising decision-making as far as possible, while ensuring the overall organisational goals are well understood and shared, and resources are dedicated to train and educate staff. Additionally, the conception of rank-order competitions complements the institutional design.

Greater productivity and material performance as well as greater job satisfaction via larger autonomy and decision-making power on the local level can be achieved by the application of subsidiarity as key HRM configuration. This can be employed at SMEs, as discussed, but also other organisations. Further, the principle of subsidiarity and the greater emphasis on staff training and education may help reduce inequality.

Our paper contributes towards filling the gap in the literature on the link between HRM and innovation, by identifying the role of subsidiarity. We introduce an interdisciplinary perspective, with contributions from economics and psychology, among others. We also contribute to the history of HRM.

The purpose of this paper is to show the importance of an integrative approach to CSR.

The paper is based on the qualimetrics intervention-research methodology. It is an exploratory research project.

The intervention-research case study shows an example where an integrative approach to CSR was made possible.

The paper only presents an example of a company. Future research should show how the method that has been experimented to integrate CSR might be implemented.

The paper might help company actors debate and propose an innovative approach to CSR.

The paper provides scientific methods to better negotiate the creation of norms and standards in the field of CSR, enabling to move one step further as regards ISO 26000.

It shows some of the conditions required to bridge the gap between CSR and financial standards.

Historic buildings can make a significant contribution to the history and culture of a country. Today, land scarcity has led to the demolishing of existing buildings to meet the demand for new constructions. Adaptive reuse of buildings (ARB) while preserving the hidden prestige of historic buildings plays a pivotal role in regenerating the built environment to cater to the demand that exists for new buildings. Sri Lanka has so far not embraced ARB, which can help to preserve the historical and cultural values of the existing building stock in the country. Hence, the study aims to analyze the remedial actions that can overcome the barriers to and challenges of ARB in Sri Lanka.

This study adopted a qualitative research approach by using three expert interviews and five case studies. The data collected from the case studies were analyzed using content analysis. As a part of the case studies, semi-structured interviews with 15 professionals who are already practicing ARB were conducted.

When making the ARB decision, key drivers and parameters of ARB have to be considered. ARB has socio-cultural, environmental and economic benefits. Sri Lanka as a developing country will definitely face barriers and challenges when adopting ARB. These barriers/challenges could be categorized as social; environmental; economic; legal-regulatory; and physical-technical-other barriers/challenges. The economic barrier, “Higher opportunity costs,” and the legal barrier, “Health and safety requirements,” stipulated by the authorities were common to all five case studies.

The study identifies the actions that can overcome ARB barriers and challenges present in Sri Lanka to reap maximum socio-cultural, environmental and economic benefits.