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Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality Award Criteria, the Deming Management Method, the Service-Profit Chain, and the Skandia Intellectual Capital Model. These models are compared, their potential for guiding the identification of value drivers and performance measures for value-based management is assessed, and management issues that must be addressed if such models are to contribute to long-run value creation are explored. These issues include causally linking value drivers to each other and to financial outcomes, the extent to which the models take a dynamic, or whole-system, view of value creation, and whether multiple value drivers should be explicitly weighted and combined to form a “value index.” Finally, the substantial body of research evidence linking intangible value drivers to financial outcomes is reviewed, and some directions for further research are offered.

This chapter describes the change efforts and action research projects at a Dutch multinational which, over a period of 25 years, produced in one of its businesses a zigzag path toward collaborative leadership dynamics at the horizontal and vertical interfaces. The chapter also identifies the learning mechanisms that helped achieve this transformation. Changing the patterns at the vertical interfaces proved to be a most tricky, complex, and confusing operation. The data show that organizations need hierarchical interfaces between levels, but are hindered by the hierarchical leadership dynamics at these interfaces. The data furthermore show that competitive performance requires more than redesigning horizontal interfaces. A business can only respond with speed and flexibility to threats and opportunities in the external environment when the leadership dynamics at agility-critical vertical interfaces are also changed.

Since 2007, the cloud computing term had been introduced to the information technology (IT) dictionary. The theme is attracting growing interest from both the IT world and the business players, who need to enhance information systems agility, reduced costs, or even less dependence on internal IT teams when they are judged too slow. However, the fact that cloud computing, as presented by providers, increases the agility, is unclear. Business Managers; IT professional, and academics are querying about relationship between cloud computing and IT agility. This chapter aims to answer two major concerns: Factors that influence cloud computing adoption in medium and large organizations, and the cloud computing role to improve the agility of information systems. This chapter argues that cloud computing impacts Information System (IS) performance by organizational capabilities (agility). One of the primary motivations of this chapter is the lack of fieldwork when considering how cloud computing improves the information systems’ agility.

In the current era, multiple factors have driven the IS information system to be able to cope with changes caused by internal and external factors that affect the organization’s strategy. A variety of environmental factors can influence organizational capacity and performance and tend to change organizational strategy, including political, socio-economic, financial, and technological changes. At the beginning of the twenty-first century, other changes are expected, such as those associated with cybercrime and artificial intelligence. In this chapter, the authors discuss the concept of agility, the dimension of agility, relevant literature studies, proposed agility models, and the authors propose their conceptual model of strategic agility for IS.

Today humanity is facing a time period, in which the speed and rate of change in different fields are faced. The rapid and effective change in the technological, economic, military, social and cultural fields all over the world in recent years has had important results in many topics such as informatics, interactive communication, production, data production and sharing and forms of consumption and perception. Changes and developments at very high speeds and rates affect the personal life, social life and work life in a deep manner, especially after the 1980s, paving the way for many concepts such as globalization, Industry 4.0, digitalization, new economy, new world order and digital transformation age to be the leading variables in every field of social sciences.

Production, consumption and communication forms at the global level are becoming more and more in depth and predicting the future is becoming more and more difficult and valuable. Understanding, analyzing and predicting the future for national and international companies and organizations directly and indirectly affect all economic, military and political variables. At this point, competition stands out as one of the most critical concepts for survival and growth for profit-oriented companies.

Based on this, the topics and contents selected in this study were created to cover the field of management and strategy. Indeed, in this study, the concept of organizational agility is explored theoretically from a historical perspective on the concept of Industry 4.0 and especially emphasized the dimensions and components of agility used in today’s world.

Within the scope of this study, the aim is to define and present the general framework of the Industry 4.0 and agile firms, which aim to combine the conceptual and theoretical infrastructure with the implementation of the agile firms within the field. In this respect, the study defines the situation coming from the past together with the world of today in the relationship of the technological and economical dimensions of globalization with the digitalization and latest theoretical view for the agile firm’s structure and management. On the other hand; in this study, the possible effects of the recent COVID-19 pandemic crisis on the management of organizations are interpreted in the context of Industry 4.0 and agile companies. This aim will provide a foresight for the future periods, with the conclusions added with the theory of senism, which present the dominant value of the study.

The key purpose of the current study is investigating the direct impact of information technology (IT) assimilations, flexible IT infrastructure, and supply chain competencies (supply side, demand side) on the supply chain performance of manufacturing firms. Meanwhile, the study has also estimated the mediating role of supply chain agility (SCA). Among 360 selected respondents for the underlying research, only 267 respondents have responded well and returned them back, thereby indicating 74% response rate for the survey. For the inferential analysis, the Partial Least Square Structural Equation Modeling was performed in Smart PLS 3.0. In context to this study, process compliance is the adherence and the execution of supply chain processes, including the processes related to distribution and production of management processes. On the basis of this theoretical background, the demand and supply-side competence are considered as the firms’ internal aspects. As a dynamic capability, the SCA enables firms to influence and respond to the firm’s external environment. Thus, the presence of such competencies allows to react against market developments. The resource-based view theory supports this argument, and states that competencies is an effective resource for developing dynamic capabilities.

The pace at which an organization is able to respond to changes that occur both within and external to the organization has always been a key driver for the success of the organization. In today’s ever-changing environment and volatile economy, it is crucial for organizations to be flexible and agile in order to survive and succeed. This case study traces the journey of Stanley Black & Decker, a global tools, storage, and appliances organization, on its success journey in the Middle East region. This organization has been able to enjoy continuous financial success and win a series of accolades over the years due to the following major strategic drivers: change management, agility, effective channel management, strong customer engagement, brand leveraging, and innovation as a corporate culture. An analysis of existing research indicates a good alignment with change management, agility, brand leveraging, and innovation while a slight deviation is noted in effective channel management and customer engagement.