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This paper aims to focus on automatic selection of two important structural concepts required in an XML query, namely, target and constraint concepts, when given a keywords query. Due to the diversities of concepts used in XML resources, it is not easy to select a correct concept when constructing an XML query.

In this paper, a Context-based Term Weighting model that performs term weighting based on part of documents. Each part represents a specific context, thus offering better capturing of concept and term relationship. For query time analysis, a Query Context Graph and two algorithms, namely, Select Target and Constraint (QC) and Select Target and Constraint (QCAS) are proposed to find the concepts for constructing XML query.

Evaluations were performed using structured document for conference domain. For constraint concept selection, the approach CTX+TW achieved better result than its baseline, NCTX, when search term has ambiguous meanings by using context-based scoring for the concepts. CTX+TW also shows its stability on various scoring models like BM25, TFIEF and LM. For target concept selection, CTX+TW outperforms the standard baseline, SLCA, whereas it also records higher coverage than FCA, when structural keywords are used in query.

The idea behind this approach is to capture the concepts required for term interpretation based on parts of the collections rather than the entire collection. This allows better selection of concepts, especially when a structured XML document consists many different types of information.

The aim of this paper is to investigate differences in capital structures across industries in Egypt paying particular attention to: corporate characteristics, such as liquidity, asset structure, growth, and size; fiscal characteristics, namely, the application of differential corporate tax rates; and stock market activity.

Comparisons are made between the four main industrial sectors: food, heavy industries, contracting and services. For each industry four aspects of capital structure are assessed. Firms are also classified according to whether their shares are actively traded on the Egyptian stock market. Multiple regressions are run to test a range of hypotheses. ANOVA and multiple comparison procedures are also employed.

Across Egyptian firms, higher business risks do not generally result in lower levels of long‐term capital structure. The contracting sector is significantly different from food, heavy industries and services in its determinants of its short‐term financing and interest ratios. The sector also has a higher level of debt, and so a hypothesised tax‐induced higher debt level for the services sector, which has the highest corporate tax rate, is rejected. Asset‐backing is particularly important in heavy industries, and in non‐actively traded firms. Size and growth are positively related to short‐term financing in heavy industries and services.

The value lies in the comprehensiveness of the study, covering both short‐ and long‐term capital structures across industries, both income measures and capital indebtedness, and distinctions according to whether the shares are actively traded or not.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

The study here examines how business actors adapt to changes in networks by analyzing their perceptions or their network pictures. The study is exploratory or iterative in the sense that revisions occur to the research question, method, theory, and context as an integral part of the research process.

Changes within networks receive less research attention, although considerable research exists on explaining business network structures in different research traditions. This study analyzes changes in networks in terms of the industrial network approach. This approach sees networks as connected relationships between actors, where interdependent companies interact based on their sensemaking of their relevant network environment. The study develops a concept of network change as well as an operationalization for comparing perceptions of change, where the study introduces a template model of dottograms to systematically analyze differences in perceptions. The study then applies the model to analyze findings from a case study of Norwegian/Japanese seafood distribution, and the chapter provides a rich description of a complex system facing considerable pressure to change. In-depth personal interviews and cognitive mapping techniques are the main research tools applied, in addition to tracer studies and personal observation.

The dottogram method represents a valuable contribution to case study research as it enables systematic within-case and across-case analyses. A further theoretical contribution of the study is the suggestion that network change is about actors seeking to change their network position to gain access to resources. Thereby, the study also implies a close relationship between the concepts network position and the network change that has not been discussed within the network approach in great detail.

Another major contribution of the study is the analysis of the role that network pictures play in actors' efforts to change their network position. The study develops seven propositions in an attempt to describe the role of network pictures in network change. So far, the relevant literature discusses network pictures mainly as a theoretical concept. Finally, the chapter concludes with important implications for management practice.

This paper takes Chinese A-share listed companies from 2007 to 2021 as research samples to investigate the influence of supplier concentration on debt maturity structure and its mechanism. It further analyzes whether the relationship between the two is different in the case of different monetary policies, collateral assets, and total debt. The research conclusion is of practical significance for enterprises to construct a balanced debt maturity structure and prevent financial risks.

This paper adopts the empirical research method. The data came from the CSMAR database, which eliminated ST and *ST and companies with missing data, resulting in a sample of 20,328. Stata16 was used for statistical analysis.

There is an inverted U-shaped relationship between supplier concentration and debt maturity structure, and market position and trade credit play an intermediary role. In the case of tight monetary policy, fewer collateral assets, and higher total debt, the inverse U-shaped relationship is more significant.

This paper examines the relationship between supplier concentration and debt maturity structure from a non-linear perspective for the first time, providing theoretical support for enterprises to form a reasonable debt structure, and deepening the theoretical cognition of the relationship between supplier concentration and corporate debt maturity structure.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

In financial markets investors and borrowers are faced with a whole structure of prices and interest rates on financial instruments. The determination of equilibria in these markets is a complex process and presents a challenge to researchers and practitioners alike. In this article we are concerned with a single section of these markets where we study the relationships between the interest rates or yields on financial securities which can be distinguished from each other (as far as possible) only by their term to maturity. We only cover the structure of money or nominal yields, as an examination of the real returns would require another arti‐cle in itself.

The study aims to investigate, through mapping analysis, the operation of knowledge organization systems (KOS) in different languages (English and Chinese), the types of term equivalence and the degree of similarity between different conceptual structures, and issues related thereto.

Terms are selected from the Art & Architecture Thesaurus developed by Getty Research Institute in the USA (source language) and the National Palace Museum in Taiwan participating in Taiwan e‐Learning and Digital Archives Program (target language). In respect of data analysis, mapping analysis and content analysis are both adopted.

Among the six types of term equivalence, “exact equivalence” appears most frequently. The degree of similarity between different conceptual structures can be divided into four types: similar structure, transferring part of the structure of source language into the system of target language by modeling; similar structure, but the structure of source language needs to be expanded or revised; dissimilar structure, the term in target language can be partially mapped to the term in source language; lack of structure, no matches between target language and source language.

The next step is to develop a more comprehensive conceptual structure that can incorporate multicultural perspectives. If the “partial equivalence” terms are further identified as important concepts, the problems of non‐exact equivalence terms and dissimilar conceptual structures can be solved by addressing the needs of English users in searching for Chinese art collections.

The study serves as a pilot study applicable to the development of multilingual KOS in the domain of Chinese fine arts, building the first demonstration model for the interoperability of KOS in Chinese and English.

The purpose of the paper is to examine the impact of macroeconomic variables on the capital structure of manufacturing companies in the Indian context.

The paper employs panel regression technique (random effects model) on a sample of 1,029 listed Indian manufacturing companies divided into two categories – large-size companies and mid-size companies for the last ten years from FY 2008–09 to FY 2017–18. Two separate models pertaining to long-term leverage (TTL_TNW ratio) and total leverage (TOL_TNW) have been examined.

Major findings show that macroeconomic variables play a relatively more important role in deciding the long-term debt component in the capital structure of the firms as compared to short-term loans. Similarly macroeconomic variables are found to be more significant in case of large-size companies as compared to mid-size companies. Also, there is a negative relationship between market capitalisation and leverage and bank credit and leverage, whereas money supply has a positive relationship with leverage.

The study makes an important contribution to the existing literature in understanding better how macroeconomic variables play an important role in determining the capital structure of firms. In the present dynamic economic environment, such a study lays down the macro areas on which the academicians, policymakers and financial managers can focus with respect to corporate financing decisions. The firm-specific factors have not been taken into account. Inclusion of these factors will make the results more robust.

The study focusses on the impact of macroeconomic variables on the capital structure decision of the Indian firms. Several studies in this area have been done in the context of the developed countries. However, there are not many studies in the Indian context that examine the relationship between financing decision and macroeconomic variables. The results that have been derived in case of developed economies may not be extended in the Indian context as there are considerable differences across countries related to corporate and legal environment, taxation system, corporate governance laws, interest rate environments, banking system, sources of funds and so on. Therefore, it becomes important to focus on countries individually.

We evaluate the performance of fixed income mutual funds using stochastic discount factors motivated by continuous-time term structure models. Time-aggregation of these models for discrete returns generates new empirical “factors,” and these factors contribute significant explanatory power to the models. We provide a conditional performance evaluation for US fixed income mutual funds, conditioning on a variety of discrete ex-ante characterizations of the states of the economy. During 1985–1999 we find that fixed income funds return less on average than passive benchmarks that do not pay expenses, but not in all economic states. Fixed income funds typically do poorly when short-term interest rates or industrial capacity utilization rates are high, and offer higher returns when quality-related credit spreads are high. We find more heterogeneity across fund styles than across characteristics-based fund groups. Mortgage funds underperform a GNMA index in all economic states. These excess returns are reduced, and typically become insignificant, when we adjust for risk using the models.