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The purpose of this paper is to describe the interconnection between the research process, the report structure and journal outlets in scholarly studies.

Conceptual frameworks to link the research process with the report structure, and in turn with journal outlets, are presented.

These indicate that the research process and the awareness of the components of the report structure as well as potential journal outlets may at an early stage uncover any pitfalls and flaws in one's scholarly studies in academia.

A transparent understanding and foresight of what is ahead in, and interconnected between, the elements of the research process, the components of the report structure and the potential journal outlets are crucial to enhance the ultimate scholarly performance. The discussion is in part limited to the commonly applied “deductive” research process in academia, though most parts also are applicable to the “inductive” research process.

It is important that the elements of the scholarly research process and the components of the report structure are thoroughly thought out in detail before too much investment in time and resources, as well as intellectual effort, have been made in order to avoid frustration and discontent. In addition, the potential journal outlets also need to be considered at an early stage of research.

Transparent understanding and foresight of research processes, report structures and journal outlets provide essential and valuable insights for scholars. The author has striven to show that realizing the link between the scholarly research process, the scholarly report structure and the potential journal outlets available will assist in efforts to perform and communicate the outcome of scholarly studies.

The purpose of this paper is to investigate the reciprocal relationship between profitability and capital structure and its impacts on the corporate values of manufacturing companies in Indonesia.

This research is a quantitative research using the general structural component analysis as the analysis tool. This research involved a number of manufacturing companies registered in the Indonesia Stock Exchange in 2008‒2015 period.

Profitability has a negative significant influence on capital structure, indicating that profitability is a determining factor upon the corporate capital structure. This finding also implies that the improvement in profitability in the forms of return on investment, return on equity and net profit margin triggers decrease in the proportion of debt within the capital structures of manufacturing companies registered in BEI or Indonesia Stock Exchange.

Previous research only addressed the one-way correlation between profitability and capital structure, whereas this research measured the two-way correlation and reciprocal relationship at the same time. This research measured the influences of profitability and capital structure on the corporate value, in order to find a consistent finding that has not been yet obtained in previous research. This research also attempted to find out whether the use of the same variables within different time and setting (in Indonesia) leads to different results. The inconsistent findings also motivate the researcher to re-explore the reciprocal influence of corporate profitability on corporate capital structure and its effect toward the corporate value.

The aim of this chapter is to describe a four-type model of organisational structures and to discuss two cases, Embrapa and the Brazilian Agricultural Research Corporation, as well as additional cases at SAM-Research and the centre for shared medical support services established at the University of Bologna.

These cases should help readers understand the importance of designing distinctive, tailored-made support services while keeping these structures flexible for further adaptation under unforeseen changes.

The chapter concludes by stressing the role of institutions to steadily invest in the design of these tailored support structures and in personalised training for their support staff.

The purpose of this paper is to study the status of studies on capital structure determinants in the past 40 years. This paper highlights the major gaps in the literature on determinants of capital structure and also aims to raise specific questions for future research.

The prominence of research is assessed by studying the year of publication and region, level of economic development, firm size, data collection methods, data analysis techniques and theoretical models of capital structure from the selected papers. The review is based on 167 papers published from 1972 to 2013 in various peer-reviewed journals. The relationship of determinants of capital structure is analyzed with the help of meta-analysis.

Major findings show an increase of interest in research on determinants of capital structure of the firms located in emerging markets. However, it is observed that these regions are still under-examined which provides more scope for research both empirical and survey-based studies. Majority of research studies are conducted on large-sized firms by using secondary data and regression-based models for the analysis, whereas studies on small-sized firms are very meager. As majority of the research papers are written only at the organizational level, the impact of leverage on various industries is yet to be examined. The review highlights the major determinants of capital structure and their relationship with leverage. It also reveals the dominance of pecking order theory in explaining capital structure of firms theoretically as well as statistically.

The paper covers a considerable period of time (1972-2013). Among very few review papers on capital structure research, to the best of authors’ knowledge; this is the first review to identify what is missing in the literature on the determinants of capital structure while offering recommendations for future studies. It also synthesize the findings of empirical studies on determinants of capital structure statistically.

The present study aims to analyse the literature on capital structure theories for the last 21 years to identify the existing gaps and themes for prospective researchers in this domain.

A sample of 183 articles published from 1999 to 2019 in the Scopus database using “capital structure theory” and “leverage” as keywords was analysed on various basis. A citation analysis was also performed to recognize impactful authors and papers.

The findings revealed that though the capital structure research studies were highly focussed on developed economies, with time, research studies in developing markets are increasing. Further, the capital structure research studies were largely conducted by considering all the industries together, whereas the focus on a particular industrial sector was meagre. Almost all the studies were empirical, thus providing scope for primary research. Various forms of regression were popular econometric techniques used in this area of late. This review highlighted the dominance of trade-off theory to elucidate the capital structure of firms, irrespective of the status of the economy. The comprehensive review uncovered the existing gaps and identified major themes evolving in the capital structure domain.

Unlike a traditional review paper, this study classifies sample articles based on several parameters and depicts a graphical presentation of the findings to cover research gaps, avenues, evolving themes, key aspects, impactful authors and their papers, etc. in the capital structure domain. It provides ready-made information available for prospective research studies in this field.

Examines the fourteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The purpose of this study is to examine the factors that influence capital structure, profitability and stock returns and the relationship between capital structure, profitability and stock returns. The endogenous variables in this study are capital structure, profitability and stock returns, whereas the exogenous variables are firm size, growth opportunity, tangibility, liquidity, volatility and uniqueness.

The population used is a company that is listed on the compass index 100 period of August 2016. A total of 64 companies are sampled in this study. The unit of analysis is 448 data. The data analysis technique used is path analysis with the help of AMOS.

The results obtained show only profitability variables that affect stock returns. Variable capital structure, firm size, growth opportunity, tangibility and liquidity have no significant effect. Variables that influence capital structure are only influenced by growth opportunity, whereas other variables are not significant and variables that affect profitability are firm size, growth opportunity, uniqueness and volatility.

Path analysis is a model similar to the multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis and more general multivariate analysis groups. This research discusses that capital structure is useful for increasing the value of the company in the sense that the more debt that is used, a tax deduction will be obtained because of interest costs. So that the company’s profits will increase and eventually will increase the value of the company. This opinion remains a controversy among financial experts. Until now, there is no agreement that can explain the capital structure in all conditions of the company. There are two important theories concerning capital structure, trade-off theory and pecking order theory.

Action research (AR), which emphasises collaboration between researchers and practitioners, is a qualitative research method that has much potential for the information systems (IS) field. AR studies of IS phenomena are now beginning to be published in the IS research literature. However, the rigour of many AR studies in IS can be improved. When AR has been published, the findings have frequently been emphasised at the expense of the process. In this article, we look at the process in AR projects, and look at some of the key choices and alternatives in controlling AR. We discuss three aspects of control: the procedures for initiating an AR project, those for determining authority within the project, and the degree of formalisation. We analyse seven recent AR projects in IS and from this analysis distil recommendations for determining these control structures.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

A shared cognitive schema is the fundamental source of tacit understanding within a team. This study aims to address how such a shared cognitive schema emerges and evolves in an interdisciplinary research team.

This study uses an exploratory single case study to analyze the emergence and evolution of a shared cognitive schema in an interdisciplinary research team systematically. The authors spent more than two years collecting data from the IAM team via semistructured interviews, archival data and observation. Subsequently, a framework for the resulting mechanism model was developed by analyzing the data using a three-step process.

This study shows that as the interdisciplinary research team develops, the shared cognitive schema passes through three stages: overlapping cognitive schema, complementary cognitive schema and synergetic cognitive schema. The mechanisms of overlap, complement and synergy play important roles. The convergent roles of partner-based recruiting, knowledge categorization and following the existing institution facilitate the overlapping of knowledge structures. Complementary cognitive schema sharing is facilitated by interdisciplinary member selection, knowledge stock expansion and the effects of accomplished mentors. The synergetic behaviors of group voice, interactive cognition and adaptive learning facilitate synergetic cognitive schema sharing.

This study is the first to discuss the emergence and evolution of a shared cognitive schema at the microlevel of knowledge structure and belief structure. It offers a new theoretical perspective on the development rules of scientific research teams and provides practical enlightenment regarding the establishment and operation of interdisciplinary research teams.