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Firm growth in industry clusters is a complex issue. On the one hand, industrial clusters can promote firm growth. On the other hand, they can restrict the growth of a firm in some aspects. Their various effects have to be analyzed in detail. The purpose of this paper is to examine these effects and the law of enterprise growth in electronic information industry clusters of China.

This paper makes use of the panel data of the Chinese manufacturing industry with the intention of testing Gibrat's law. It carries out an empirical analysis on the influence of Chinese electronic information industry clusters on firm growth.

The result of the present research indicates that industry clusters definitely have a positive impact on firm growth, profit and longevity. However, in regard to the firms' data of China 2006 to 2007, the electronic information industry clusters have negative effects on scale of business growth of small and medium‐sized companies but not big companies. Moreover, the innovation of companies inside a cluster could not catch up with that of companies outside the cluster.

For the electronic information enterprises, growth rate is positively correlated with the enterprise age. Gibrat's law is tenable, that is, firm growth mainly depends on firm age. In Chinese electronic information industry clusters, R&D has only a weak influence on enterprise growth. In contrast, the economic soundness of the region where the electronic information industry clusters are located is more beneficial to the growth of enterprises in the cluster.

Despite the extensive research on the determinants and consequences of firm growth, research focusing on how the actual process unfolds is still evolving. An important part of firm growth process research is entrepreneurial cognition. The purpose of this chapter is to explore the relationship between entrepreneurial cognition and firm growth intentions. Specifically, we propose a theoretical model of entrepreneurial cognitive interpretation and categorization of market information as it relates to firm growth intentions. Drawing from the strategic cognition literature in general and strategic issue interpretation literature in particular, we propose that entrepreneurs’ interpretation of market information as opportunity or threat, gain or loss, and controllable or uncontrollable influences their firm growth intentions. Furthermore, our theoretical model discusses the condition under which favorable interpretation of market information leads to higher growth intentions by incorporating insights from the Entrepreneurial Orientation (EO) construct. This chapter extends our understanding of firm growth processes by highlighting the important role cognitive interpretation and categorization play in facilitating or hindering entrepreneurial firm growth.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The paper seeks to develop a theory of information processes that invokes three major explanatory factors to account for the escalating patterns of information growth that have been taking place over the last decades.

Conceptual analysis and review of relevant theories.

First, information is claimed to have a dual value as a description of a reference domain and a relationship that such a description may have or develop with already available descriptions within that domain or across reference domains. Second, the intrinsic combinability of technologically mediated information is substantially strengthened by the interoperable character of contemporary information infrastructures. Finally, information growth dynamics are intimately connected with the perishable and disposable character of information.

The paper presents a novel theory of information growth dynamics.

Financial market holds superior information that can give insights into the future trajectory of economic growth. Further, identifying sectors that hold the key to future economic growth is important for all economies, but particularly relevant to emerging markets. However, unlike existing studies, the paper provides new insights into the forward-oriented nexus between financial markets and economic growth.

This paper takes a forward-looking approach of using financial market information to predict future economic growth. The authors use ARDL modeling approach to predict economic growth using the information from stock market sectoral returns.

The authors find that sectoral stock returns significantly improve economic growth forecasts. However, the forecasting superiority is not uniform across sectors and horizons. Auto, consumers' spending, materials and realty sectors provide the most forecasting gains. In contrast, banking, capital goods and industrial sectors provide superior forecasts, but only at horizons beyond one year. The authors also find that the forecast superiority of sectors at longer horizons is inversely related to volatility.

Research highlights the need for sector-focused policy actions in driving economic growth. Further, the findings of the paper identify sectors that drive short-, medium- and long-term economic growth.

There is a significant heterogeneity among different sectors and across horizons in predicting economic growth. Results suggest that targeted policy actions in sectors like materials, metals, oil and gas, and realty are key in driving economic growth. Further, policies geared toward the grassroots industries are at least as beneficial as the large-scale industries. Evidence also suggests the need for an active fiscal policy to address infrastructural bottlenecks in primary industries like basic materials and energy. Evidence nevertheless does not undermine the role of monetary policy actions.

Unlike any paper till date, the innovation of the paper is that it takes an ARDL modeling approach to measure stock market sectoral returns' ability to forecast economic growth several months ahead in the future. Though the paper considers the Indian case, the innovation and contribution extents to the entire field of economic studies.

This study aims to investigate the effects of the intended use of initial public offerings (IPO) proceeds that is disclosed in the prospectus on IPO initial returns.

A sample of IPOs listed on Bursa Malaysia from 2005 to 2015 is used. The intended use of IPO proceeds is categorised into three uses, namely, growth opportunities, debt repayment and working capital. In addition to ordinary least squares regression, the study applies a more sophisticated and robust approach using the quantile regression technique.

The results show that the intended use of IPO proceeds for growth opportunities and working capital is positively associated with IPO initial returns, whereas debt repayment is negatively associated with IPO initial returns. When the intended use of IPO proceeds for growth opportunities is further expanded into capital expenditure (CAPEX) and research and development (R&D), the intended use of IPO proceeds for CAPEX is positively associated with IPO initial returns, whereas R&D is negatively associated with IPO initial returns.

These findings suggest that intended use of IPO proceeds provides useful information about IPO initial returns and investors can use this information as guidance to make informed decisions. In addition, regulatory authorities should pay close attention to the amount allocated to each intended use of IPO proceeds as this may play a critical role in the success of a company and the economy.

This study gives new empirical evidence on the desire and motivations of IPO and the usefulness of designated use of IPO proceeds disclosed in the prospectus in explaining IPO initial returns.

The purpose of this paper is to examine how the learning orientation of export functions affects their growth performance.

A mail survey of 354 exporters was conducted, and the data were analyzed using confirmatory factor analysis and structural equation modeling.

Results show that the link between response to export information and export growth is quadratic (U‐shaped), and that this relationship is moderated by use of export memory. Export memory itself was found to be beneficial to export growth when responsiveness to export information is low, but detrimental under high levels of export information responsiveness. In turn, response to export information is driven by export information acquisition and distribution, as well as by the management of mental export models. Export memory use is also enhanced by the latter and the integration of export information within organizational systems.

The authors examine learning orientation in the context of export functions for the first time, and in doing so, uncover specific relationships that export learning constructs have with the growth performance of export firms. In addition, most of the organizational learning literature focuses on the information‐processing behaviors of firms (e.g. acquisition, dissemination, use), overlooking the important discipline‐based constructs such as the management of mental models. The authors show how important the challenging of mental export models is for maximizing response to export information and use of export memory.

High levels of (human and financial) investment in export information processing are important for export growth. Export memory use should be encouraged, but only to confirm or triangulate new information. In addition, export staff should be formally trained in challenging the preconceptions they may have developed about their export markets.

This study is the first to consider the learning orientation of export functions, and to do so from a holistic (both information processing‐ and discipline‐based) perspective.

The main purpose of this research is to analyse the socio‐technical consequences deriving from the digitisation of crown prosecutors' work.

This research is based on an in‐depth, qualitative case study of the use of technologies by crown prosecutors. It relies on observations, focus groups and semi‐structured interviews conducted in London and Humberside over a 15‐month time‐span. The overarching methodological approach interweaves the empirical data with the theory of information growth which postulates that information is a difference that makes a difference.

The main finding is that the digitisation of prosecutors' work has produced an increasingly‐larger, interlocked domain of digital information by triggering the need for new data standards which, in turn, have created the need for new information‐handling capabilities, thus prompting a ubiquitous infrastructure of self‐propelling differences.

The information growth dynamics investigated have broader implications in relation to information privacy, security and data ownership that go beyond the scope of this research.

It is suggested that rather than steering the information‐growth process, public sector managers should attempt to control the premises of such a process by setting out a structured information quality management procedure both for domain‐specific and generic data standards.

It is argued that plans are makeshift accomplishments that are bound to succumb to the overarching process of information growing out of information. Once viewed from this vantage point, cross‐organisational governance structures are no longer the outcome of pre‐defined plans but rather the side effect of a self‐reinforcing process of information growth.

The purpose of this paper is to elaborate the connections between an organization’s knowledge management and growth management strategies. The study shows how knowledge management can support organizations’ growth objectives.

The paper first connects the literature streams of growth management and knowledge management. This conceptual understanding about growth-oriented knowledge management is then advanced through an exploratory case study of a company aiming at rapid growth in the construction industry.

The paper recognizes two knowledge perspectives to growth management. First, the perspective of knowledge assets concerns whether an organization has the needed knowledge resources to enable growth. Second, to make informed decisions, the management needs relevant and up-to-date information. From these viewpoints, the paper derives the case-specific cornerstones of growth-oriented knowledge management and suggests some paths forward in terms of future research.

Although growth strategy defines an organization’s growth aims and clarifies how the intended growth will be attained, knowledge strategy takes a stand on the needed knowledge assets and paints a path from the existing knowledge base to a state where organization’s knowledge assets enable reaching of its business goals. The paper helps practitioners to plan growth-oriented knowledge management strategies.

The paper contributes by extending the analysis of knowledge strategy to growth management and by providing a practical illustration of the development process where knowledge was put into prime focus of organization’s growth strategy. The paper also provides original data and perspective to the roles and interaction of the board and the management team in the case of growth management.