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Purpose: The purpose of the chapter is to determine the dependence of the process of decision making in modern business systems on their organizational structure and to substantiate the necessity for considering the requirements to the process of decision making during designing the organizational structure of a business system.

Methodology: A new simplified classification of the organizational structure of business systems according to the criterion of complexity is offered, and its two main types are distinguished – organizational structure of low complexity and organizational structure of high complexity.

Conclusions: According to the offered classification, dependence of the process of decision making in modern business systems on complexity of their business structure at each stage of making of managerial decisions is determined. As a result of analysis of statistical data, it is determined that business systems with organizational structure of low complexity dominate in Russia. By the example of modern Russian business systems with the organizational structure of high complexity – Sberbank, Lukoil, Gazprom, and Rosneft – it is shown that formation of the structure of this type and supporting its functioning requires resources and thus is inaccessible for most modern business systems. Moreover, the expected advantages, related to high probability of making of optimal managerial decisions, are not always gained in practice.

Originality/value: It is substantiated that the process of decision making in modern business systems largely depends on the complexity of their organizational structure. With increase of complexity of a business system, resource intensity of decision making and duration of this process increase, but the risk of nonoptimal decisions decreases. Organizational structure of low complexity is peculiar for business systems that have deficit of financial and human resources, which does not allow using the means of optimization and fully control the process of decision making. However, in this case, managerial decisions are made much quicker. In the conditions of modern market economy, it is necessary to make quick optimal decisions, which cannot be achieved within the organizational structure of either low or high complexity. Thus, it is necessary to find a way to make quick optimal managerial decisions beyond the design of organizational structure.

Purpose: The purpose of the chapter is to study the process of evolution of modern business systems, to distinguish its main stages, and to determine the peculiarities of the modern stage of this process. For compiling a fuller dynamic model of evolution of modern business systems, this research is performed by the example of modern Russia – which is one of the most vivid representatives of countries with transitional (forming) economy and which is thus peculiar for very intensive transformation processes in business as compared to the countries that implement the concept of market economy.

Methodology: The methodology of the research is based on the method of logical analysis (analysis of causal connections) and the method of comparative historical analysis, with the help of which regularities of development of modern business systems are distinguished and stages of their evolution are determined. The method of formalization is used for graphic presentation of genesis of modern business systems.

Conclusions: As a result, four stages of evolution of modern business systems are distinguished: paternalism (1991–1997), commercialization (1998–2007), balancing (2008–2017), and technologization (since 2018). Each of the distinguished stages has its peculiarities, and the following regularities and tendencies of development of modern business systems are observed in the process of their evolution: increase of competition in business environment, increase of regulation of business from the state and society, and growth of size of business systems, which leads to complication of their structure, with increase of flexibility of business culture. Sufficiency of adaptation means with modern business systems is substantiated.

Originality/value: The determined outlines of the current stage of evolution of modern business systems allow compiling two following forecast scenarios of their further development, oriented at the period until 2025: scenario of well-balanced development of modern business systems and scenario of increase of disproportions in development of modern business systems. Implementation of these scenarios is possible in any socioeconomic system. Depending on strategic goals and priorities, each system may select the most optimal scenario and conduct the corresponding management of development of modern business systems.

Human resource (HR) disclosures are voluntary in nature in most countries including India. The voluntary nature of HR disclosures results in discrepancy in the HR disclosure practices across companies and industries. The purpose of this paper is to examine the extent of HR disclosures in annual reports of Indian listed companies and to identify their determinants in a three stage analysis.

In the first stage a 16 item human resource disclosure index (HRDI) has been constructed for the set of CNX 200 companies listed on National Stock Exchange. Thereafter the effect of various independent variables on HRDI is analysed descriptively. Finally in the third stage HRDI has been regressed against the independent variables using regression analysis technique to identify key determinants of HRDI.

The research reveals that there is high variation among sample companies as regard HRDI. The results of descriptive analysis, correlation analysis and multivariate regression analysis establish that government’s participation in ownership and market capitalisation has positive significant effect on HRDI at 1 per cent, presence of separate HR directors committee, presence of more independent directors on board at 5 per cent and cross-list America and profit after tax at 10 per cent level. Implicitly HRDI is positively affected by size of company as measured by market capitalisation. Though contrary to expectations, other variables leverage, number of employees, assets, ownership concentration, type of auditor, age, complexity of business structure, employee expense to total operating expense ratio, industry affiliation, foreign investment and proportion of non-executive directors on board are found to have moderate though insignificant influence on HRDI.

Cross-sectional design, dependence on annual reports as a primary document for disclosure and subjectivity in HRDI construction are the main limitations of the research. A longitudinal study may be carried to study the pattern of HR disclosures in future. Weighted ranking of different items of disclosures may be studied to improve the understanding of extent of disclosures.

The HRDI as constructed in the research may be used as a benchmark by companies to improve their HR disclosures. It can also be used by accounting bodies and company regulators while deciding about standards regarding HR disclosures. Investors can also use HR disclosures made by a company as a basis to understand its financial standing and future potentials.

The study adds to the existing literature by developing 16 item HRDI to measure the extent of disclosures by listed companies in India and thereafter by including some new propositions in the determinants of HRDI have never been tested in the existing studies. These propositions are government’s participation in ownership, separate HR committee of directors, board composition and foreign activity. These propositions have been empirically validated in this research except for foreign activity.

There are many definitions of materiality and such differences in definition show that there is great concern about the applicability of materiality in the auditing profession. Various materiality guidelines have been recommended by both academic researchers and accounting bodies, but the Auditing Practices Board in the UK has yet to recommend a guideline of its own. Looks at the recommendations put forward by those researchers and accounting bodies and the implications and possible pros and cons of having structured guidelines by the auditing profession in the UK. Concludes with a recommended materiality guideline which the Auditing Practices Board should seriously consider and the possibility of applying computer‐based decision aids as a tool to improve efficiency and effectiveness of decision making by the auditors.

The purpose of this study is to analyze the effects of inpatriates’ abilities, motivation and opportunities on knowledge sharing and the moderating role of boundary spanning in this context.

By integrating the ability–motivation–opportunity framework with the concept of boundary spanning four hypotheses are developed, which are tested against the data of 187 inpatriates working in Germany.

The study reveals that inpatriates’ motivation and certain opportunities are positively related to knowledge sharing, whereas inpatriates’ abilities do not show a positive effect. Moreover, it is shown that inpatriate boundary spanning has a moderating effect on this relationship.

Based on the results, the study enhances the current literature by introducing the concept of reputation asymmetry. Moreover, requirements of how inpatriates’ assignments should be designed and implications for further research are outlined.

The purpose of this paper is to conduct a large-sample empirical examination of how intangible supply chain complexity impacts firm performance in light of a firm's organizational structure.

The study uses panel data from 2,580 Indian manufacturing firms and constructs empirical proxy for intangible supply chain complexity, i.e. CHQ distance from major cities. The proposed conceptual model is grounded in the dynamic capability view (DCV) and social network theory (SNT). Multivariate regression analyses are performed to investigate the effect of intangible complexity on firm performance.

Results show that intangible supply chain complexity, as proxied by “CHQ distance from major cities”, negatively affects firm performance and a firm's organizational structure plays an important role in conceiving CHQ locational strategies. Firms with interconnected supply chain and social network (e.g. business group firms) have a higher propensity to locate their CHQs farther away from major cities, and business group firms that have more distantly located CHQs experience better financial performance compared to independent firms (with less network resources).

In light of the supply chain literature and relevant theories, the study conceptualizes intangible supply chain complexity as “CHQ distance from major cities” and deepens our understanding of the relationship between intangible complexity and firm performance in light of organizational structure. Further, it develops an objective understanding of intangible supply chain complexity by relying on secondary panel data.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

Research has highlighted the cognitive nature of the business model intended as a cognitive representation describing a business’ value creation and value capture activities. Although the content of the business model has been extensively investigated from this perspective, less attention has been paid to the business model’s causal structure – that is the pattern of cause-effect relations that, in top managers’ or entrepreneurs’ understandings, link value creation and value capture activities. Building on the strategic cognition literature, this paper argues that conceptualizing and analysing business models as cognitive maps can shed light on four important properties of a business model’s causal structure: the levels of complexity, focus and clustering that characterize the causal structure and the mechanisms underlying the causal links featured in that structure. I use examples of business models drawn from the literature as illustrations to describe these four properties. Finally, I discuss the value of a cognitive mapping approach for augmenting extant theories and practices of business model design.

This study aims to distinguish businesses by their degree of complexity and to analyse the influence of complexity on the performance of firms during the coronavirus disease 2019 (COVID-19) pandemic.

Data were collected from 468 businesses, and various multivariate statistical techniques were used. Initially a factor analysis was conducted, organising variables into five factors. A discriminant analysis, performed with the five factors, allowed discriminating firms based on whether they internationalise or not. A linear regression was performed in order to estimate the contribution of each factor in the business performance.

The results suggest the existence of additional variables for measuring the complexity. From the factorial analysis it is possible to conclude that business complexity can be explained by size, indebtedness and profitability, internationalisation, number of employees, and age and leverage. Total assets, indebtedness and age are the variables that contribute the most to business performance. On the other hand, indebtedness, internationalisation, age and leverage are the independent variables that most contribute to explain business performance.

This paper presents advances in two ways. First, it proposes measures of complexity (highly debatable in the literature). It also proposes internationalisation as an explanation of complexity. Second, this paper sheds light on businesses decisions to grow, taking into account how complexity may affect performance.