Many discussions of the creation and appropriation of value stop at the firm level. Imperfections in the market allow for a firm to gain competitive advantage, thereby appropriating rents from the market. What has often been overlooked is the continued process of appropriation within firms by parties ranging from shareholders to managers to employees. Porter’s “five forces” model and the resource-based view of the firm laid out the determinants of value creation at the firm level, but it was left to others to explore the onward distribution of that value. Many strategic management and strategic human capital scholars have explored the manner in which employees and managers use their bargaining power vis-à-vis the firm to appropriate value—sometimes in a manner that may not align with the interests of shareholders. In addition, cooperative game theorists provided unique insights into the way in which parties divide firm surplus among each other. Ultimately, the creation of value is merely the beginning of a complex, multiparty process of bargaining and competition for the rights to claim rents.
Article
Appropriation of Value from Competitive Advantages
Andy El-Zayaty and Russell Coff
Article
A Practice-Based View of Innovation Adoption
Rangapriya Kannan and Paola Perez-Aleman
Innovation adoption is challenging at both intra-organizational and interorganizational levels. Several decades of innovation adoption research have identified various barriers at both levels. Intra-organizational barriers are often related to the characteristics of the innovation, adopters, managers, environment, and ecosystem but can also include an incompatibility with an organization’s strategy, structural impediments, organizational resource constraints, a lack of fit of the innovation with an organizational culture and climate, decision making challenges, a lack of integration with an organization’s knowledge management, human resource management practices, dynamic capabilities, and active innovation resistance from customers. Interorganizational barriers include uncertainty with learning and implementation, the distributed nature of the innovation process, differences in production systems, disparities in regulatory systems, variation within local contexts, and the nature of embedded knowledge adopted in diverse organizational contexts.
One of the key missing aspects in understanding innovation adoption is how extant practices within an organizational or interorganizational context enhance or hinder innovation adoption. Although the practices of innovation adoption emerge and evolve dynamically, existing research does not highlight fine-grained practices that lead to its success or failure. A practice lens focuses on people’s recurrent actions and helps to understand social life as an ongoing production that results from these actions. The durability of practices results from the reciprocal interactions between agents and structures that are embedded within daily routines. A practice lens allows us to study practices from three different perspectives. The first perspective, empirically explores how people act in organizational contexts. The second, a theoretical focus investigates the structure of organizational life. This perspective also delves into the relations between the actions that people take over time and in varying contexts. Finally, the third perspective which is a philosophical one focuses on how practices reproduce organizational reality.
By focusing on the unfolding of constellations of everyday activities in relation to other practices within and across time and space, a practice lens hones in on everyday actions. Everyday actions are consequential in producing the structural contours of social life. A practice lens emphasizes what people do repeatedly and how those repetitive actions impact the social world. A practice theory lens also challenges the assumption that things are separable and independent. Instead, it focuses on relationality of mutual constitution to understand how one aspect of the issue creates another aspect. Relationality of mutual constitution is the notion that things such as identities, ideas, institutions, power, and material goods take on meaning only when they are enacted through practices instead of these being innate features of these things Focusing on duality forces us to address the assumptions that underlie the separation.
A practice perspective on innovation adoption highlights the concepts of duality, dynamics, reciprocal interactions, relationality, and distributed agency to inform both the theory and practice of innovation adoption. Understanding these concepts enables a practice lens for successful adoption of innovations that impact organizational and societal outcomes, such as economic development, productivity enhancement, entrepreneurship, sustainability, equity, health, and other economic, social, and environmental changes.
Article
Business Models and Usage of Technology: A New Perspective on Business Model Design
Neva Bojovic and Vincent Mangematin
Companies need business models to profit from innovation and technology. However, the success of a certain technology depends on whether and how it is used. Usage is important not only as an indicator of technology adoption, but also as a way for companies to design business models—as a way to create and capture value from technology. Usage is inscribed by the designers in the technology, but users in their ongoing practice can alter the designers’ intentions, which sometimes leads to innovation. Users can also combine different technologies in practice to accomplish a specific usage. In essence, usage is constitutive of technology and its value.
Technology usage-based business modeling is a way to explore business modeling for technology that looks into how different technologies are integrated, either by users or platform actors, into solutions to address specific usage needs. To understand this notion of usage for business model design, one must first understand how value is created and captured from technology. At the same time, it is also important to know different streams of literature that have investigated technology usage: user-centered design, user innovation and lead users, form, function, affordances of technology, and the practice-based view.
While usage-based business modeling has implications for all kinds of technologies, it is of particular importance for emerging, enabling, and embedding technologies, where the value of technology depends on the usage across multiple applications and connectedness between different users.
Article
Design Thinking in Business and Management: Research History, Themes, and Opportunities
Jarryd Daymond and Eric Knight
Design thinking is a human-centered, innovation-focused problem-solving approach that employs various tools and methods for creative purposes. It is a dynamic process and often prioritizes the needs and experiences of people while considering both technical and economic aspects of a solution. The prominence of design thinking in practice has seen its use move beyond product development teams to take a more central role in shaping how organizations approach problems, develop strategies, build capabilities, and drive cultural change. It is common for organizations to employ executives with a specific focus on design, and traditionally “nondesign” organizations increasingly build, buy, or borrow design capabilities. The utility of design thinking stretches beyond organizational outcomes, with educators and employers recognizing that understanding and proficiency in design thinking is a valuable and transferrable skill. A rich scholarly tradition in design sciences and engineering underpins design thinking. These traditions provide the foundational understandings of problem definition and need-finding, information gathering and analysis, and creative expression and ideation, from which design thinking gained prominence. Although not often acknowledged in contemporary scholarship, design thinking research builds on these traditions and offers unique perspectives on the practice of design thinking and its theoretical underpinnings: The cognitive perspective focuses on how unique ways of thinking shape the practice of design thinking; the instrumental perspective attends to how design thinking is done, including the methods or tools used in design thinking; and the organizational-level perspective concerns the implementation of design thinking in organizations and its influence on organizational culture and capabilities. While the various research traditions preceding design thinking are receiving greater attention in contemporary research, rich insights from these established fields offer deep theoretical knowledge to develop several promising research areas. These avenues for future research include how design thinking can inform the redevelopment of services and customer experiences, tackle societal challenges, and build capabilities to benefit communities and society more generally.
Article
Digital Platform Innovation and Opportunities
Tammy L. Madsen
Multi-sided digital platform (MSDP) business models have enabled the reorganization of industries and are fundamentally changing the way firms innovate and grow. Fueled by advances in digital technology, digital platform firms such as Apple, Alibaba, Amazon, Google, Tencent, and ByteDance have gained prominence around the globe. MSDPs create value by facilitating interconnections of products, services, or systems generated by a variety of external actors, thereby enabling them to interact in ways that otherwise might be elusive. Theoretical and empirical work on digital platforms also has accelerated in recent decades. Scholars have explored a variety of topics such as platform competition, network effects and their implications, platforms and corporate scope (i.e., vertical integration into complementary offerings), platform types, complementor heterogeneity, and platform governance and ecosystem orchestration. Much of the empirical literature directs attention to the economics of platforms at the exclusion of analyzing how differences in strategic objectives and choices contribute to unique MSDP positions within an ecosystem.
Heterogeneity in strategic objectives contributes to variation in platform scope, governance practices, and potential externalities and thus influences the strategic and organizational benefits accruing to participating actors and the platform itself. It follows that analyzing platforms from a strategic view can help to identify innovations in MSDPs and their governance.
In one novel MSDP model, the co-innovation platform, the primary strategic objective is accelerating innovation and ecosystem growth by enabling collaboration among a wide array of diverse external actors. Aligned with a focus on the quality of collaborations, one of a co-innovation MSDP’s distinguishing value creation features is its hands-on approach to the formation and execution of co-innovation partnerships. This hands-on approach relies on different governance choices and yields a different mix of strategic and organizational benefits for partners and the platform relative to the hands-off approach employed by most MSDPs. Many opportunities exist for advancing theory and empirical work on the implications of platform heterogeneity.
Article
Sustainability Innovation: Drivers, Capabilities, Strategies, and Performance
Devashish Pujari and Anna Sadovnikova
Though concern for environmental issues dates back to the 1960s, research and practice in the field of sustainability innovation gained significant attention from academia, practitioners, and NGOs in the early 1990s, and has evolved rapidly to become mainstream. Organizations are changing their business practices so as to become more sustainable, in response to pressure from internal and external stakeholders. Sustainability innovation broadly relates to the creation of products, processes, technologies, capabilities, or even whole business models that require fewer resources to produce and consume, and also support the environment and communities, while simultaneously providing value to consumers and being financially rewarding for businesses. Sustainability innovation is a way of thinking about how to sustain a firm’s growth while sustainably managing depleting natural resources like raw materials, water, and energy, as well as preventing pollution and unethical business practices wherever the firm operates.
Sustainability innovation represents a very diverse and dynamic area of scholarship contributing to a wide range of disciplines, including but not limited to general management, strategy, marketing, supply chain and operations management, accounting, and financial disciplines. As addressing sustainability is a complex undertaking, sustainability innovation strategies can be varied in nature and scope depending upon the firm’s capabilities. They may range from incremental green product introductions to radical innovations leading to changes in the way business is conducted while balancing all three pillars of sustainability—economic, environmental, and social outcomes. Sustainability innovation strategies often require deep structural transformations in organizations, supply chains, industry networks, and communities. Such transformations can be hard to implement and are sometimes resisted by those affected. Importantly, as sustainability concerns continue to increase globally, innovation provides a significant approach to managing the human, social, and economic dimensions of this profound society-wide transformation. Therefore, a thorough assessment of the current state of thinking in sustainability innovation research is a necessary starting point from which to improve society’s ability to achieve triple bottom line for current and future generations.
Article
External Enablers of Entrepreneurship
Per Davidsson, Jan Recker, and Frederik von Briel
“External enabler” (EE) denotes nontrivial changes to the business environment—such as new technology, regulatory change, demographic and sociocultural trends, macroeconomic swings, and changes to the natural environment—that enable entrepreneurial pursuits. The EE framework was developed to increase knowledge accumulation in entrepreneurship and strategy research regarding the influence of environmental factors on entrepreneurial endeavors. The framework provides detailed structure and carefully defined terminology to describe, analyze, and explain the influence of changes in the business environment on entrepreneurial pursuits. EE characteristics specify the environmental changes’ range of impact in terms of spatial, sectoral, sociocultural, and temporal scope as well as the degree of suddenness and predictability of their onset. EE mechanisms specify the types of benefits individual ventures may derive from EEs. Among others, these include cost saving, resource provision, making possible new or improved products/services, and demand expansion. EE roles situate these (anticipated) mechanisms in entrepreneurial processes as triggering and/or shaping and/or outcome-enhancing. EE’s influence is conceived of as mediated by entrepreneurial agency that—in addition to agent characteristics—is contingent on the opacity (difficulty to identify) and agency-intensity (difficulty to exploit) of EE mechanisms, with the ensuing enablement being variously fortuitous or resulting from strategic deliberation.
Article
From Absorptive Capacity in International Business to Strategic Flexibility of Multinational Corporations
Carine Peeters
Both the absorptive capacity (AC) and international business (IB) literatures are interested in knowledge processes and learning in organizations. Although originating from different streams of research, AC and IB were thus meant to meet and reinforce each other.
Fundamentally, the role of AC in IB is to condition the performance outcome of firms’ internationalization efforts. Firms benefit from their IB activities conditional on being able to absorb new knowledge and learn. In other words, multinational corporations (MNCs) need to have the necessary AC to overcome their liabilities of foreignness and outsidership. Short of AC, the costs and challenges of entering foreign markets and operating across countries are likely to outweigh potential performance gains. Moreover, AC plays a role in the technological upgrade and economic development of nations, as it helps firms in emerging economies to benefit from spillovers of foreign direct investments by MNCs from more economically advanced economies. And national governments can play an important role to facilitate this effect by developing appropriate economic and innovation policies that support knowledge creation and learning.
Firms can also proactively develop AC. For instance, MNCs can nurture a broad knowledge base that can be leveraged in different contexts and opt for a decentralized structure with mechanisms that help subsidiaries access the knowledge base of the parent organization. They can also practice specific routines to identify and access relevant knowledge from their external environment, transfer that knowledge in their organization, and assimilate it in their own knowledge creation processes. Moreover, MNCs can adopt human resources management practices that help raise the capacity and motivation of their employees to acquire and exploit new knowledge.
Ultimately, the most important contribution of AC in IB might be to help MNCs develop the strategic flexibility that enables them to thrive in dynamic environments. High-AC MNCs may indeed be in a better position than other firms to (a) build diverse options to prepare for uncertain evolutions in the market, (b) access flexible resources to allocate to new courses of actions, and (c) redeploy resources across options over time. Unpacking the exact mechanisms as well as boundary conditions for the role of AC in building strategic flexibility offers ample opportunities for future research on a highly relevant topic for MNCs.
Article
Frugal Innovation: Context, Theory, and Practice
Lukas Neumann and Oliver Gassmann
Frugal innovation as a concept was initially sparked by a groundbreaking article published in The Economist in 2010. In it, the conception and application of a handheld electrocardiogram (ECG), the Mac 400, specifically designed to serve the rural population in India, was introduced. Every aspect of this product and its ecosystem was designed to serve the customer at less than 25% of the original cost. Since this publication, a lively discussion around this concept has developed in academia as well as in the industry. As a term, “frugal innovation” refers to solutions (products or services), methods, or designs that focus on serving new customers in resource-constrained contexts at the bottom of the pyramid (BoP) and/or emerging and developing markets. This understanding has broadened somewhat as such innovations gain increasing attention and relevance throughout all customer segments across the globe. What remains consistent is that frugal innovation is based on a new type of value architecture that is specifically developed to serve customers’ needs in the respective context by utilizing as few resources as possible. This approach leads to many cases where frugal innovations are novel and disruptive to their market environment. Research shows that for firms, especially traditional “Western” ones, these innovations require significant changes in firms’ activities along the entire value chain.
Article
Innovation and Business Models
Lorenzo Massa and Christopher L. Tucci
Starting from the mid-1990s, business models have received increased attention from both academics and practitioners. At a general level, a business model refers to the core logic that a firm or other type of organization employs to achieve its goals. Thus, in general terms, the business model construct attempts to capture the way organizations “do business” or operate to create, deliver, and capture value. Business model innovation (BMI) constitutes a unique dimension of innovation, different from and complementary to other dimensions of innovation, such as product/service, process, or organizational innovation. This distinction is important in that different dimensions of innovation have different antecedents, different processes, and, eventually, different outcomes.
Business models have been the subject of extensive research, giving birth to several lines of inquiry. Among them, one line focuses on business models in relation to innovation. This is a vast, somewhat fragmented, and evolving line of inquiry. Despite this limitation, it is possible to recognize that, at the core, business models are relevant to innovation in at least two main ways. First, business models can act as vehicles for the diffusion of innovation by bridging inventions, innovative technologies, and ideas to (often distant) markets and application domains. Therefore, business models speak to the phenomenon of technology transfer from the point of view of academic entrepreneurship and of corporate innovation. Thus, an important role of the business model in relation to innovation is to support the diffusion and adoption of new technologies and scientific discoveries by bridging them with the realization of economic output in markets. This is a considerable endeavor that relies on a complex process entailing the search for, and recombination of, complementary knowledge and capabilities. Second, business models are a subject of innovation that can become a source of innovation in and of themselves. For example, offerings that reinvent value to the customer—as opposed to offerings that incrementally add value to existing offerings—often involve designing novel business models. Relatedly, BMI refers to both a process (i.e., the dynamics involved in innovating business models) as well as the output of that process.
In relation to BMI as a process, the literature has suggested distinguishing between business model reconfiguration (BMR; i.e., the reconfiguration of an existing business model), and business model design (BMD; i.e., the design of a new business model from scratch). This distinction allows us to identify three possible instances, namely general BMR in incumbent firms, BMD in incumbent firms, and BMD in newly formed organizations and startups. These are arguably different phenomena involving different processes as well as different moderators. BMR could be understood as an evolutionary process occurring because of changes in activities and adjustments within an existing configuration. BMD involves facing considerable uncertainty, thus putting a premium on discovery-driven approaches that emphasize experimentation and learning and a considerable degree of knowledge search and recombination.
Article
Innovation Ecosystems in Management: An Organizing Typology
Llewellyn D. W. Thomas and Erkko Autio
The concept of an “ecosystem” is increasingly used in management and business to describe collectives of heterogeneous, yet complementary organizations who jointly create some kind of system-level output, analogous to an “ecosystem service” delivered by natural ecosystems, which extends beyond the outputs and activities of any individual participant of the ecosystem. Due to its attractiveness and elasticity, the ecosystem concept has been applied to a wide range of phenomena by a variety of scholarly perspectives and under varying monikers such as “innovation ecosystems,” “business ecosystems,” “technology ecosystems,” “platform ecosystems,” “entrepreneurial ecosystems,” and “knowledge ecosystems.” This conceptual and application heterogeneity has contributed to conceptual and terminological confusion, which threatens to undermine the utility of the concept in supporting cumulative insight.
In this article, we seek to reintroduce some order into this conceptual heterogeneity by reviewing how the ecosystem concept has been applied to variably overlapping phenomena and by highlighting key terminological and conceptual inconsistencies and their sources. We find that conceptual inconsistency in the ecosystem terminology relates to two key dimensions: the “unit” of analysis and the type of “ecosystem service”—that is the ecosystem output collectively generated. We then argue that although there is considerable heterogeneity in application, the concept nevertheless offers promise in its potential to support insights that are distinctive relative to other concepts describing collectives of organizations, such as those of “industry,” “supply chain,” “cluster,” and “network.” We also find that despite such proliferation, the concept nevertheless describes collectives that are distinctive in that they uniquely combine participant heterogeneity, coherence of ecosystem outputs, participant interdependence, and nonhierarchical governance.
Based on our identified dimensions of conceptual heterogeneity, we offer a typology of the different ecosystem concepts, thereby helping reorganize this proliferating domain. The typology is based upon three distinct ecosystem outputs—ecosystem-level value offering for a defined audience, the collective generation of business model innovation, and the collective generation of research-based knowledge—and three research emphases that resonate with alternative “units” of analysis—community dynamics, output cogeneration, and interdependence management. Together, these allow us to clearly differentiate between the concepts of innovation ecosystems, business ecosystems, platform ecosystems, technology ecosystems, entrepreneurial ecosystems, and knowledge ecosystems. Based on the three distinct types of ecosystem outputs, our typology identifies three major types of ecosystems: innovation ecosystems, entrepreneurial ecosystems, and knowledge ecosystems. Under the rubric of “innovation ecosystems,” we further distinguish between business ecosystems, modular ecosystems, and platform ecosystems. We conclude by considering innovation ecosystem dynamics, highlighting the important role of digitalization, and reviewing the implications of our model for ecosystem emergence, competition, coevolution, and resilience.
Article
Innovation Indicators
Fred Gault and Luc Soete
Innovation indicators support research on innovation and the development of innovation policy. Once a policy has been implemented, innovation indicators can be used to monitor and evaluate the result, leading to policy learning. Producing innovation indicators requires an understanding of what innovation is. There are many definitions in the literature, but innovation indicators are based on statistical measurement guided by international standard definitions of innovation and of innovation activities.
Policymakers are not just interested in the occurrence of innovation but in the outcome. Does it result in more jobs and economic growth? Is it expected to reduce carbon emissions, to advance renewable energy production and energy storage? How does innovation support the Sustainable Development Goals? From the innovation indicator perspective, innovation can be identified in surveys, but that only shows that there is, or there is not, innovation. To meet specific policy needs, a restriction can be imposed on the measurement of innovation. The population of innovators can be divided into those meeting the restriction, such as environmental improvements, and those that do not. In the case of innovation indicators that show a change over time, such as “inclusive innovation,” there may have to be a baseline measurement followed by a later measurement to see if inclusiveness is present, or growing, or not. This may involve social as well as institutional surveys. Once the innovation indicators are produced, they can be made available to potential users through databases, indexes, and scoreboards. Not all of these are based on the statistical measurement of innovation. Some use proxies, such as the allocation of financial and human resources to research and development, or the use of patents and academic publications. The importance of the databases, indexes, and scoreboards is that the findings may be used for the ranking of “innovation” in participating countries, influencing their behavior. While innovation indicators have always been influential, they have the potential to become more so. For decades, innovation indicators have focused on innovation in the business sector, while there have been experiments on measuring innovation in the public (general government sector and public institutions) and the household sectors. Historically, there has been no standard definition of innovation applicable in all sectors of the economy (business, public, household, and non-profit organizations serving households sectors). This changed with the Oslo Manual in 2018, which published a general definition of innovation applicable in all economic sectors. Applying a general definition of innovation has implications for innovation indicators and for the decisions that they influence. If the general definition is applied to the business sector, it includes product innovations that are made available to potential users rather than being introduced on the market. The product innovation can be made available at zero price, which has influence on innovation indicators that are used to describe the digital transformation of the economy. The general definition of innovation, the digital transformation of the economy, and the growing importance of zero price products influence innovation indicators.
Article
International Research and Development and Knowledge Sourcing by Multinational Corporations
Kazuhiro Asakawa and Jaeyong Song
Internationalization of R&D facilitates knowledge sourcing of multinational corporations (MNCs) on a global scale. As MNCs internationalize R&D, they not only engage in domestic-driven R&D but are actively involved in overseas-driven R&D. And accordingly, the role of overseas R&D laboratories often evolves, from applying the HQ-generated innovation to local market, to innovating locally and contributing to the parent company. Within an MNC boundary, knowledge flows have become multidirectional: on top of the most typical knowledge flows from headquarters (HQ) to a subsidiary, reverse knowledge flows from a subsidiary to HQ as well as horizontal knowledge flows among overseas subsidiaries have become more salient. In addition to knowledge flows within a firm, increasing attention has been paid to external knowledge sourcing, i.e., knowledge sourcing from foreign locations outside the firm. MNCs commonly engage in local knowledge sourcing, i.e., sourcing knowledge from an overseas local environment, to tap into local hotbeds of innovation. But MNCs are also increasingly conducting global knowledge sourcing, i.e., sourcing knowledge from around the world, to practise global open innovation. Theoretically, knowledge sourcing in international R&D has often been examined from the capability and embeddedness perspectives. The effect of capability has been discussed in connection with motivation, autonomy, and mandates of subsidiaries. The effect of embeddedness has been discussed in connection with complementarity between external and internal embeddedness. As future research agenda, the following are suggested. First, cross-fertilization among the research fields of international R&D, global innovation, and open innovation deserves further attention. Second, greater research focus can be placed on managerial processes of global knowledge sourcing. Third, further research can be advanced on global knowledge sourcing at the team level. Fourth, the association between corporate governance and global knowledge sourcing can be investigated further. Fifth, much more attention needs to be paid to microfoundations of global knowledge sourcing. And lastly, further evolving patterns of global knowledge sourcing by advanced country multinationals (AMNCs) and emerging economies multinationals (EMNCs) continue to be relevant.
Article
Open Innovation
Jennifer Kuan
Open Innovation, published in 2003, was a ground-breaking work by Henry Chesbrough that placed technology and innovation at the center of attention for managers of large firms. The term open innovation refers to the ways in which firms can generate and commercialize innovation by engaging outside entities. The ideas have attracted the notice of scholars, spawning annual world conferences and a large literature in technology and innovation management (including numerous journal special issues) that documents diverse examples of innovations and the often novel business models needed to make the most of those innovations. The role of business models in open innovation is the focus of Open Business Models, Chesbrough’s 2006 follow-up to Open Innovation. Managers have likewise flocked to Chesbrough’s approach, as the hundreds of thousands of hits from an online search using the term open innovation can attest. Surveys show that the majority of large firms were engaging in open innovation practices in 2017, compared to only 20% in 2003 when Open Innovation was published.
Article
Platformizing Organizations: A Synthesis of the Literature
Pankaj Setia, Franck Soh, and Kailing Deng
Organizations are widely building digital platforms to transform operations. Digital platforms represent a new way of organizing, as they leverage technology to interconnect providers and consumers. Using digital technologies, organizations are platformizing operations, as they open their rigid and closed boundaries by interconnecting providers and consumers through advanced application programming interfaces (APIs). Early research examined platformized development of technology products, with software development companies—such as Mozilla Foundation—leading the way. However, contemporary organizations are platformizing nontechnology offerings (e.g., ride-sharing or food delivery). With growing interest in platforms, the basic tenets underlying platformization are still not clear. This article synthesizes previous literature examining platforms, with the aim of examining what platformization is and how and why organizations platformize.
Article
Product and Innovation Portfolio Management
Vinícius Chagas Brasil and J.P. Eggers
In competitive strategy, firms manage two primary (non-financial) portfolios—the product portfolio and the innovation portfolio. Portfolio management involves resource allocation to balance the important tradeoff of risk reduction and upside maximization, with important decisions around the evaluation, prioritization and selection of products and innovation projects. These two portfolios are interdependent in ways that create reinforcing dynamics—the innovation portfolio is the array of potential future products, while the product portfolio both informs innovation strategy and provides inputs to future innovation efforts. Additionally, portfolio management processes operate at two levels, which is reflected in the literature's structure. The first is a micro lens which focuses on management frameworks to boost portfolio performance and success through project-level selection tools. This research has its roots in financial portfolio management, relates closely to research on new product development and marketing product management, and explores the effects of portfolio management decisions on other organizational functions (e.g., operations). The second lens is a macro lens on portfolio management research, which considers the portfolio as a whole and integrates key organizational and competitive concepts such as entry timing, portfolio management resource allocation regimes (e.g., real options reasoning), organizational experience, and the culling of products and projects. This literature aims to set portfolio management as higher level organizational decision-making capability that embodies the growth strategy of the organization. The organizational ability to manage both the product and innovation portfolios connects portfolio management to key strategic organizational capabilities, including ambidexterity and dynamic capabilities, and operationalizes strategic flexibility. We therefore view portfolio management as a source of competitive advantage that supports organizational renewal.
Article
Risk in Strategic Management
George M. Puia and Mark D. Potts
Although risk is an essential element of the business landscape and one of the more widely researched topics in business, there is noticeably less scholarship on strategic risk. Business risk literature tends to only delineate characteristics of risk that are operational rather than strategic in nature. The current operational risk paradigm focuses primarily on only two dimensions of risk: the probability of its occurrence and the severity of its outcomes. In contrast, literature in the natural and social sciences exhibits greater dimensionality in the risk lexicon, including temporal risk dimensions absent from academic business discussions. Additionally, descriptions of operational risk included minimal linkage to strategic outcomes that could constrain or enable resources, markets, or competition.
When working with a multidimensional model of risk, one can adjust the process of environmental scanning and risk assessment in ways that were potentially more measurable. Given the temporal dimensions of risk, risk management cannot always function proactively. In risk environments with short risk horizons, rapid risk acceleration, or limited risk reaction time, firms must utilize dynamic capabilities.
The literature proposes multiple approaches to managing risk that are often focused on single challenges or solutions. By combining a strategic management focus with a multidimensional model of strategic risk, one can match risk management protocols to specific strategic challenges. Lastly, one of more powerful dimensions of risky events is their ability to differentially affect competitors, changing the basis of competition. Risk need not solely be viewed as defending against potential losses; many risky occurrences may represent new strategic opportunities.
Article
Strategic Planning in the Public Sector
John Bryson and Lauren Hamilton Edwards
Strategic planning has become a fairly routine and common practice at all levels of government in the United States and elsewhere. It can be part of the broader practice of strategic management that links planning with implementation. Strategic planning can be applied to organizations, collaborations, functions (e.g., transportation or health), and to places ranging from local to national to transnational. Research results are somewhat mixed, but they generally show a positive relationship between strategic planning and improved organizational performance. Much has been learned about public-sector strategic planning over the past several decades but there is much that is not known.
There are a variety of approaches to strategic planning. Some are comprehensive process-oriented approaches (i.e., public-sector variants of the Harvard Policy Model, logical incrementalism, stakeholder management, and strategic management systems). Others are more narrowly focused process approaches that are in effect strategies (i.e., strategic negotiations, strategic issues management, and strategic planning as a framework for innovation). Finally, there are content-oriented approaches (i.e., portfolio analyses and competitive forces analysis).
The research on public-sector strategic planning has pursued a number of themes. The first concerns what strategic planning “is” theoretically and practically. The approaches mentioned above may be thought of as generic—their ostensive aspect—but they must be applied contingently and sensitively in practice—their performative aspect. Scholars vary in whether they conceptualize strategic planning in a generic or performative way. A second theme concerns attempts to understand whether and how strategic planning “works.” Not surprisingly, how strategic planning is conceptualized and operationalized affects the answers. A third theme focuses on outcomes of strategic planning. The outcomes studied typically have been performance-related, such as efficiency and effectiveness, but some studies focus on intermediate outcomes, such as participation and learning, and a small number focus on a broader range of public values, such as transparency or equity. A final theme looks at what contributes to strategic planning success. Factors related to success include effective leadership, organizational capacity and resources, and participation, among others.
A substantial research agenda remains. Public-sector strategic planning is not a single thing, but many things, and can be conceptualized in a variety of ways. Useful findings have come from each of these different conceptualizations through use of a variety of methodologies. This more open approach to research should continue. Given the increasing ubiquity of strategic planning across the globe, the additional insights this research approach can yield into exactly what works best, in which situations, and why, is likely to be helpful for advancing public purposes.
