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Corporate diversification is a strategy that enables corporations to expand their core business into other businesses. In Malaysia, corporate diversification continues to represent a fundamental organizational structure. Some two-thirds of Malaysian firms are diversified. However, when compared to developed countries such as the US and the UK, we find that firms are moving toward non-diversification. The study is based on the population framework consisting of all of the public limited companies (PLCs) listed on the Bursa Malaysia stock exchange from 2007 to 2012. A dynamic panel model system generalized method of moments (GMM) was used to analyze the diversification and firm’s performance theories.

The empirical findings demonstrated that diversification is better than non-diversification firms for the curvilinear relationship between diversification and firm’s performance (ROA and Tobin-Q) when using the entropy index and relatedness is taken into consideration. The research further concluded that related and unrelated diversification also has a positive relationship with performance, but diversification must be the dominant (focused) and cannot be too broad in nature. Diversification that is too broad may cause a positive relationship to turn in to a negative relationship toward performance in both related and unrelated instances of diversification.

This study examines the effect of a firm's level of intra-regional sales in the triad markets of North American, Europe, and Asia on its performance. The form of the relationship is explored. The results show that there exists a strong positive relationship between a firm's level of intra-regional sales and its performance (measured by return on equity (ROE) and return on assets, (ROA)). A firm tends to perform better when it has its sales in the home region of the triad. The hypothesis that there exists a non-linear relationship (second- and third-order curvilinear relationship) between performance and intra-regional sales is not supported.

Resource reconfiguration enables firms to adapt in dynamic environments by supplementing, removing, recombining, or redeploying resources. Whereas prior research has underscored the merits of resource reconfiguration and the modes for implementing it, little is known about the antecedents of this practice. According to prior research, under given industry conditions, resource reconfiguration is prompted by a firm’s corporate strategy and by characteristics of its knowledge assets. We complement this research by identifying learning from performance feedback as a fundamental driver of resource reconfiguration. We claim that performance decline relative to aspiration motivates the firm’s investment in knowledge reconfiguration, and that this investment is reinforced by the munificence of complementary resources in its industry, although uncertainty about the availability of such resources limits that investment. Testing our conjectures with a sample of 248 electronics firms during the period 1993–2001, we reveal a clear distinction between exploitative reconfiguration, which combines existing knowledge elements, and exploratory reconfiguration, which incorporates new knowledge elements. We demonstrate that performance decline relative to aspiration motivates a shift from exploitative reconfiguration to exploratory reconfiguration. Moreover, munificence of complementary resources mitigates the tradeoff between exploratory and exploitative reconfigurations, whereas uncertainty weakens the motivation to engage in both types of reconfiguration, despite the performance gap. Nevertheless, codeployment, which extends the deployment of knowledge assets to additional domains, is more susceptible to uncertainty than redeployment, which withdraws those assets from their original domain and reallocates them to new domains. Our study contributes to emerging research on resource reconfiguration, extends the literature on learning from performance feedback, and advances research on balancing exploration and exploitation.

This chapter discusses and investigates the sustainability reporting across different sectors. The first section discusses and investigates the relationship between sustainability reporting and primary sector's performance (Agriculture and Food Industries Sector and Energy Sector). The second section discusses and investigates the relationship between sustainability reporting and secondary sector's performance (Manufacturing Sector). The final section discusses and investigates the relationship between sustainability reporting and tertiary sector's performance (Banks and Financial Services Sector, Retail Sector, Telecommunication and Information Technology Sector, and Tourism Sector).

In this paper, I address issues concerning the empirical estimation of a relationship between firm performance and its degree of multinationality. I argue for greater delineation of the underlying nature of firms’ multinationality and point to several statistical issues regarding estimation that appear to need resolution, but which appear to have been largely neglected in the literature that has examined for a multinationality–performance relationship. Among these are endogeneity of the multinationality construct in the performance relationship and the likelihood that the multinationality–performance relationship is heterogeneous across firms.

The aim of this paper is to give empirical evidence of the fundamental mechanisms underlying the resource systemics: time compression diseconomies, asset mass efficiency, and interconnectedness of assets. It assumes that time, resource properties and interactions are the critical elements leading to accumulation of idiosyncratic resources, firm performance and survival. Results from a Cox regression on a simulated dataset confirm the protective effects of time compression diseconomies, asset mass efficiency, and interconnectedness of assets against firm's death.

Most research issues in strategic management are essentially problem focused. To one extent or another, these problems often span levels of analysis, may align with different performance metrics, and likely hold different implications from various theoretical perspectives. Despite these variations, research has generally approached questions by taking a single perspective or by contrasting one perspective with a single alternative rather than exploring integrative implications. As such, very few efforts have sought to consider the performance implications of using combined, integrated, or multi-level perspectives. Given this reality, what actually constitutes “good” performance, how performance is effectively measured, and how performance measures align with different perspectives remain thorny problems in strategic management research. This paper discusses potential extensions by which strategic management research and theory might begin to address these conflicts. We first consider the multi-level nature of strategic management phenomena, focusing in particular on competitive advantage and value creation as core concepts. We next present three approaches in which strategic management theories tend to link levels of analysis (transaction, management, and atmosphere). We then examine the implications arising from these multi-level approaches and conclude with suggestions for future research.

This paper suggests that firm strategic capabilities are developed through accumulated learning and associated investment processes and that it is these learning processes, and the resource investments that follow from decisions about them, rather than the activities or resources of the firm per se, that provide a basis of sustainable competitive advantage. Specifically, we suggest that gathering information about customer behavior, the managerial perceptions that come from learning about customer behavior, and the investment decisions that follow from those perceptions provide the basis for the development, or for the failure to develop, of firm capabilities. We further argue that such learning processes will differ with market environments, and that firm performance will reflect such learning processes actually develop in different market environments.