Models of adding relations to an organization structure of a complete K-ary tree

This paper proposes three models of adding relations to an organization structure which is a complete K-ary tree of height H: (i) a model of adding an edge between two nodes with the same depth N, (ii) a model of adding edges between every pair of nodes with the same depth N and (iii) a model of adding edges between every pair of siblings with the same depth N. For each of the three models, an optimal depth N* is obtained by maximizing the total shortening path length which is the sum of shortening lengths of shortest paths between every pair of all nodes. (c) 2005 Elsevier B.V. All rights reserved.

Summarizing level-two topological relations in large spatial datasets

Summarizing topological relations is fundamental to many spatial applications including spatial query optimization. In this article, we present several novel techniques to effectively construct cell density based spatial histograms for range (window) summarizations restricted to the four most important level-two topological relations: contains, contained, overlap, and disjoint. We first present a novel framework to construct a multiscale Euler histogram in 2D space with the guarantee of the exact summarization results for aligned windows in constant time. To minimize the storage space in such a multiscale Euler histogram, an approximate algorithm with the approximate ratio 19/12 is presented, while the problem is shown NP-hard generally. To conform to a limited storage space where a multiscale histogram may be allowed to have only k Euler histograms, an effective algorithm is presented to construct multiscale histograms to achieve high accuracy in approximately summarizing aligned windows. Then, we present a new approximate algorithm to query an Euler histogram that cannot guarantee the exact answers; it runs in constant time. We also investigate the problem of nonaligned windows and the problem of effectively partitioning the data space to support nonaligned window queries. Finally, we extend our techniques to 3D space. Our extensive experiments against both synthetic and real world datasets demonstrate that the approximate multiscale histogram techniques may improve the accuracy of the existing techniques by several orders of magnitude while retaining the cost efficiency, and the exact multiscale histogram technique requires only a storage space linearly proportional to the number of cells for many popular real datasets.

Introducing employee social identification to customer satisfaction research: a hotel industry study

The purpose of this paper is to address the concept of linkage research and propose the addition of social identity theory as an important consideration in managing employee-customer interactions and customer satisfaction.

Levinasian ethics and the representation of the other in international and cross-cultural management

In this paper, we seek to further the discussion, problematization and critique of west/east identity relations in ICM studies by considering the ethics of the relationship – an issue never far beneath the surface in discussions of Orientalism. In particular we seek to both examine and question the ethics of representation in relation to a critique of what has come to be known as international and cross-cultural management (ICM). To pursue such a discussion, we draw specifically on the ethical elaborations of Emmanuel Levinas as well as his chief interlocutors Jacques Derrida and Zygmunt Bauman. The value of this discussion, we propose, is that Levinas offers a philosophy that holds as its central concept the relationship between the self and Other as the primary ethical and pre-ontological relation. Levinas’ philosophy provides a means of extending the post-colonial critique of ICM, and ICM provides a context in which the Levinasian ethics can be brought to bear on a significant issue on contemporary business and management.

A Research Agenda for Strategic Management Research in Developing Countries

This paper explores the extent to which it is possible to address issues pertaining to developing countries with significant socio-cultural and political interventions. Examples from the Sri Lankan tea plantations are used to illustrate the necessity to understand the context from actors’ perspectives using rigorous case study research, before making prescriptive recommendations. Current problems faced by the Sri Lankan tea industry are identified as not merely micro-institutional or managerial. We argue that their roots lie in reproduction of social struggles at the level of production. We propose a research agenda, in the doctrine of critical theory, for exploring the formation and implementation of business strategies in developing countries, using the tea plantation sector as a case. Our primary attempt here is to conceptualize strategic management in the context of political economy and to identify central issues to be addressed. Accordingly, we argue that researching historical dynamics of strategic management facilitates understanding and interpreting the articulation of modes of production in a given social formation. We further argue that a highly context specific research agenda is required to fully comprehend idiosyncratic characteristics of Sri Lankan strategy structures and organizational forms. Then, it is proposed that explaining the role of social formation in shaping and reshaping strategy relations should be at the centre of the research due to the social significance attached to ‘strategy’. Finally, methodological and epistemological necessities arising from the nature of strategy relationships are discussed.

Multiscale histograms: Summarizing topological relations in large spatial datasets

Summarizing topological relations is fundamental to many spatial applications including spatial query optimization. In this paper, we present several novel techniques to eectively construct cell density based spatial histograms for range (window) summarizations restricted to the four most important topological relations: contains, contained, overlap, and disjoint. We rst present a novel framework to construct a multiscale histogram composed of multiple Euler histograms with the guarantee of the exact summarization results for aligned windows in constant time. Then we present an approximate algorithm, with the approximate ratio 19/12, to minimize the storage spaces of such multiscale Euler histograms, although the problem is generally NP-hard. To conform to a limited storage space where only k Euler histograms are allowed, an effective algorithm is presented to construct multiscale histograms to achieve high accuracy. Finally, we present a new approximate algorithm to query an Euler histogram that cannot guarantee the exact answers; it runs in constant time. Our extensive experiments against both synthetic and real world datasets demonstrated that the approximate mul- tiscale histogram techniques may improve the accuracy of the existing techniques by several orders of magnitude while retaining the cost effciency, and the exact multiscale histogram technique requires only a storage space linearly proportional to the number of cells for the real datasets.