An Approach to Security for Unstructured Big Data

Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.     

Pollution Abatement Subsidies and the Eco-Industry

This paper considers the combination of pollution taxes and abatement subsidies when some polluting firms procure their abatement goods and services from an oligopolistic eco-industry. The regulator must here cope with two simultaneous price distortions: one that comes from pollution and the other which is caused by the eco-industry’s market power. In this context, we show that taxing emissions while subsidizing polluters’ abatement efforts cannot lead to first-best, but the opposite occurs provided it is the eco-industry’s output which is subsidized. When public transfers also create distortions, welfare can be higher if the regulator uses only an emission tax, but subsidizing abatement suppliers while taxing emissions remains optimal when the eco-industry is concentrated.     

Hybrid value creation: a systematic review of an evolving research area

This systematic review analyses literature on the work of hybrid value creation, i.e. the process of generating additional value by innovatively combining products (tangible component) and services (intangible component). A state of the art report on hybrid value creation is delivered by first systematically identifying and then analyzing 169 publications focusing on hybrid value creation. The identified publications are clustered into eight categories based on their links and interactions and thus a mapping of this evolving field is suggested. A discussion and reflection of the findings with respect to the pervasiveness of literature and the research methodologies used is provided. The paper concludes by identifying some dominant strategic gaps in the overall research landscape and provides directions for future research.     

Sequential control of time series by functionals of kernal-weighted empirical processes under local alternatives

Motivated in part by applications in model selection in statistical genetics and sequential monitoring of financial data, we study an empirical process framework for a class of stopping rules which rely on kernel-weighted averages of past data. We are interested in the asymptotic distribution for time series data and an analysis of the joint influence of the smoothing policy and the alternative defining the deviation from the null model (in-control state). We employ a certain type of local alternative which provides meaningful insights. Our results hold true for short memory processes which satisfy a weak mixing condition. By relying on an empirical process framework we obtain both asymptotic laws for the classical fixed sample design and the sequential monitoring design. As a by-product we establish the asymptotic distribution of the Nadaraya-Watson kernel smoother when the regressors do not get dense as the sample size increases.Acknowledgements The author is grateful to two anonymous referees for their constructive comments, which improved the paper. One referee draws my attention to Lifshits paper. The financial support of the Collaborative Research Centre Reduction of Complexity in Multivariate Data Structures (SFB 475) of the German Research Foundation (DFG) is greatly acknowledged.     

Die Bestimmung von individuellen Effizienzvorgaben — Alternativen zum Best-of-Four-Verfahren

The setting of the individual X-factor is a core element of every incentive regulation system. The problem faced by the regulator is the choice among a wide variety of methods for setting the individual efficiency objectives. So far no single method could achieve acceptance as best-practice in both scientific research and regulatory practice. The German incentive regulation, which started in January 2009, uses the so called “Best-of-Four Method” to define individual X-factors. The regulator, the Bundesnetzagentur, announced an in-depth evaluation of this method, because it potentially leads to an unacceptable downward bias in setting the individual efficiency objectives. This article illustrates the problems of the Best-of-Four Method and offers alternatives. The author additionally develops a new approach which is based on a multi-stage process, using economical and engineering methods. Finally all alternatives are compared according to various criteria.It can be shown that the complementary usage of Data Envelopment Analysis and Stochastic Frontier Analysis is a reasonable approach to efficiency analysis. But this raises the question how to transform the resulting efficiency scores into individual X-factors. The Best-of-Four Approach is not appropriate because it distorts the X-factors, offers possibilities for strategic behaviour and cannot guarantee comparability of the efficiency objectives. Comparing alternatives shows that no approach clearly dominates all others taking into account all considered criteria. The multi-stage approach offers a possibility of transforming a “Nordic Walking” into an ambitious fitness program while also setting appropriate and comparable individual X-factors.     

The impact of e-business infusion on channel coordination, conflict and reseller performance

Manufacturer-reseller interactions are becoming more technology-enabled as channels of distribution increasingly utilize e-business tools on the Internet. This research examines the performance consequences for resellers as these technological advances are applied to distribution activities between channel members. Using a sample of 216 resellers of computer products, the research explores the impact of e-business tools in 2 areas of manufacturer-reseller interactions: supply tasks and demand tasks. The results suggest that e-business in supply tasks increases relationship coordination between manufacturer and reseller, whereas e-business in demand tasks increases coordination as well as conflict within the channel dyad. The increase of conflict constitutes a potential “dark side” of e-business in channel relationships that may provide an explanation for e-business implementation failures and negative returns on investment in technology.     

Adoption of professional management in Chinese family business: A multilevel analysis of impetuses and impediments

Building upon the market, institutional, and cultural perspectives, this paper identifies the major impetuses and impediments that affect the professionalization of Chinese family business at the environment, firm, and owner levels. Our integrative framework projects that whether a family business owner will adopt professional managers is largely determined by the relative strength of impetus factors and impediment factors. We then discuss the possible governance choices under different configuration of impetuses and impediments. This theoretical framework is expected to help set the momentum for further conceptual exploration and empirical study in this area.

Extending the “P” perspective: An institutional account of management research in Australia

In commenting Meyer’s article “Asian management research needs more self-confidence” in APJM (2006), Yang and Terjesen (Asia Pacific Journal of Management, 24(4):497–507, 2007) described ground realities in Australia that may have inhibited the development of a robust management research community. As an Australia-trained and Australia-based Asian management scholar, I extend the “P” perspective by exploring how the formal and informal institutions interact in shaping Australia-based scholars’ publication strategies and research performance. Reflecting on my experience in Australia, I argue that like in any other businesses, institutions matter in our business of research and publication. They matter because they can shape the local “rule of the game” within which a country’s or a region’s scholars conduct and publish their research. A full institutional account of the current state of management research in the Asia Pacific region requires a deeper understanding of both formal and informal local institutions. From such an institutional perspective, this commentary concentrates on why Australian management research lags behind that in the US and Europe and yet leads the Asia Pacific region.