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Drawing on the related insights from the upper echelon perspective, modern cognitive theory and path dependence theory, this paper aims to first integrate top management teams (TMTs) overseas experiences, research and development (R&D) strategic decision-making and innovation performance into a uniform theoretical framework and try to understand TMTs’ overseas experiences accounting for both the direct and indirect mechanisms of the variables involved within the transition economy of China.

The paper adopts research sample from the listed companies on the Growth Enterprises Market Board (GEMB) of Shenzhen Stock Exchange of China due to their stronger innovation consciousness. The research data are mainly from the WIND database of China, as the data issued in this database must be checked and approved by China’s legal institutions including China Securities Regulatory Commission and its authorized agencies. The samples cover different types of ownership and the vast majority of industries of China, which makes the objects a wide range of coverage and representativeness. In addition, according to suggestions of Podsakoff et al. (2003), the authors design the controlling measures from two aspects of data collection and statistical analysis to reduce the homologous error as much as possible.

Empirical results show that innovation performance is positively affected by the centrality overseas functional experience and industrial experience but negatively affected by the heterogeneity of overseas functional experience of TMT. Meanwhile, R&D intensity and modes play partially mediating effect in the relationship between TMTs’ overseas functional experience centrality and industrial experience heterogeneity and innovation performance, but for the relationship between overseas functional experience heterogeneity and innovation performance, R&D intensity leads to fully mediating effect.

This study contributes toward filling the gaps by elucidating the effect of TMTs’ overseas experiences on the innovation performance, identifying the mediating role of R&D strategic decision-makings in this relationship and empirically examining the acting mechanisms and paths of the variables involved in the Chinese context. In addition, practitioners could use these findings to improve their selection and training processes regarding both the top management members and the designing of the R&D strategies.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

In light of the current challenges in the business environment, firms, particularly those involved in supply chains, must foster innovation. In this context, the current study employs the theory of dynamic organizational capabilities (DOCs) to track supply chain learning capabilities (SCLCs) and independently uncover their relationship to innovation at both the product and process levels. Similarly, the study intends to investigate the influence of technological turbulence (TT) on these relationships as a moderating variable.

The data were gathered using in-person interviews with 189 CEOs with some supply chain management proficiency from small and medium-sized enterprises (SMEs) in the industrial zones of eastern Egypt. The study used a survey approach to collect data, and the SEM-PLS technique was utilized to analyze the data.

Study findings revealed that SCLCs positively affect product and process innovation. In addition, TT positively moderates the relationship between SCLCs and product and process innovation, except for risk-taking capability. Further theoretical and practical implications are derived from the study findings.

This research adds to the knowledge of the dynamic capabilities theory (DCT), which affects how firms interact with their external environment. Studying learning capabilities are employed as essential competencies to counterbalance high levels of TT in the external environment in terms of innovative performance and vice versa if firms do not attempt to strengthen their dynamic learning capabilities in supply chains. In addition, this study contributes to the literature by studying learning capabilities from the external perspective, where SCLCs are being developed as a new variable to improve innovation.

The purpose of this paper is to launch a dynamic strategic framework for a manufacturing firm for the digital age. The paper's dynamic capabilities‐ and strategic options‐based framework is comprised of the following key issues: how to sense the weak signals at the customer interface and how to formulate them as strategic options; how to exercise these options in the (often) intangible assets markets that are imperfect or even non‐existent; how to appropriate and/or share strategically relevant productive knowledge in order to obtain competitive advantage (CA) over the rivals, (iv) how to recognize the opportunities and threats of the underlying industrial structure, especially the economies of scale and scope and network externalities; and how to proactively reconfigure and reshape the existing knowledge base and capabilities in order to sustain the CA obtained.

The paradigm of creating CA is opened up in the context of knowledge‐based engineering and digital manufacturing. The Porterian five forces model, the resource‐based view and especially its dynamized extension, the dynamic capability view, are used as theoretical starting points. The modern strategic technology management literature will be complemented by means of the concepts of strategic options and related flexibility issues. Some illustrative examples will be offered as well.

In the author's view, the primary sources of sustainable CA in the digital manufacturing can be captured from active asset selection (strategic investments in both tangible and intangible assets), and efficient orchestrating of the global value net in “thin” intangible assets markets. The main determinants of CA are: the competitive nature of external environments, supply and demand conditions of the industry (economies of scale and scope and network externalities), renewal capacity of the organization, the dependence on complementary co‐specialized resources and capabilities, and the strategic role of the appropriability regime.

This paper tries to capture the critical elements of creating sustainable CA in the context of digital manufacturing and it is considered to be useful for strategic decision‐makers. The modern technology strategy management literature is synthesized in our framework and it tries to make the issues more applicable to the strategic management of the companies.

This paper seeks to identify the variables that affect the innovation performance of R&D teams, and to investigate the interactions between these variables.

A research framework is first established through a literature review, and is then adjusted according to case studies of five high‐tech companies in Taiwan. The adjusted model is then tested through a survey of high‐tech companies in Taiwan.

It is concluded that the style of the upper management team and the leadership of the R&D manager are the main forces that determine R&D management practice, but that the educational background, work experience, and expertise of R&D managers do not distinguish the level of discipline or the sophistication of R&D management practice. Some aspects of R&D management practice, for example, the generation and utilization of technical reports and the cultivation of professional knowledge, can be reinforced by office support and alliance. With adequate resource support, more sophisticated R&D management practice does lead to better innovation performance as measured by the number of new products, patents, and technical reports.

The findings are derived only from the high‐tech industry in Taiwan. This regional limitation is inevitable in a single study. In the future, more regions can be investigated and compared.

R&D management practice links closely to innovation performance. Disciplined and sophisticated practice improves innovation performance in many ways under different contingencies.

R&D management practice was never a focus of study. This paper approaches the topic of innovation performance from this perspective and confirms its importance in many ways.

Decision-making in human resources management is done at both the micro and macro level of organizations. Unfortunately, the decisions at each level are often executed without consideration of the other, and current theory reflects this issue. In response to a call for integration of micro- and macro-level processes by Huselid and Becker (2011), we review the extant literature on strategic human resources and high-performance work systems to provide recommendations for both research and practice. We aimed to contribute to the literature by proposing the incorporation of the situation awareness literature into the high-performance work systems framework to encourage the alignment of human resources efforts. In addition, we provide practical recommendations for integrating situation awareness and strategic decision-making. We discuss a process for the employment of situation awareness in organizations that might not only streamline human resources management but also result in more effective decisions. Additional considerations include implications for teams, boundary conditions (e.g., individual differences), and measurement.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Strategic decision making influences organizational performance. However, close examination of this relationship reveals a subtle paradox. It appears that the products of strategic decision making, all of which are necessary for enhanced organizational performance, do not peacefully coexist. Conflict seems to be the crux of this conundrum. As such, a better understanding of conflict's effects on strategic decision making is needed This paper integrates a multidimensional conceptualization of conflict Into a model of strategic decision making and organizational performance and develops propositions to guide empirical study of the effects of conflict on strategic decision making.

Strategic decisions leaders make involving organizational changes such as mergers and acquisitions (M&A), divestitures, and downsizing, which can influence and/or interact with other organizational factors. For example, within the context of M&A, changes impact financial performance, firm behaviors, and organizational culture. In addition, strategic decisions for these types of change can also interrelate with other more intrapersonal factors, including both leaders’ and employees’ health and well-being. Employee stress, also referred to as “merger syndrome,” outlines individual negative impacts of the changes including, but not limited to, cynicism and distrust, change wariness, and burnout, all accumulating to psychological effects including increases in detachment to work, stress, and sick leave. In this chapter, the authors outline the different impacts M&A phases have on stress and well-being and how they interrelate with the strategic decisions leaders make. The authors also outline future research opportunities and practical implications for how leaders and employees could better manage future major changes such as M&A activities.

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.