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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

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

User Innovation  

Nikolaus Franke and Christian Lüthje

Users of products and services, be they user firms or consumers, frequently develop innovations for their own benefit. Such user innovation is a long-existing phenomenon, but it has gained much momentum in the new millennium. The Internet has greatly facilitated connections between creative users, and at the same time cost-effective design and prototyping technologies are making it increasingly feasible for users to develop their own products and services. Users have been found to innovate mainly because they want solutions that best serve their own needs. In general, their innovation activities involve no expectations of monetary profit, being motivated rather by self-rewards (such as fun, positive feelings of altruism, signaling of competence to the community of peers). This explains why users are typically willing to share their innovations without requiring payment. A problem of user innovation is that, since the benefit that others could gain is an externality for users, they lack strong incentives to invest in the active diffusion of their innovations. The consequence of this “diffusion shortfall” is social welfare losses. There are several ways in which producers and service providers can help overcome these problems and benefit from the innovation potential of users at the same time. They can apply the lead user method to actively search for a small group of particularly highly motivated and qualified users, they can outsource product design work to their users via user design toolkits, and they can broadcast innovation challenges to an appropriate crowd of external problem solvers.

Article

Organizational Innovation  

Fariborz Damanpour

Innovation is a complex construct and overlaps with a few other prevalent concepts such as technology, creativity, and change. Research on innovation spans many fields of inquiry including business, economics, engineering, and public administration. Scholars have studied innovation at different levels of analysis such as individual, group, organization, industry, and economy. The term organizational innovation refers to the studies of innovation in business and public organizations. Studies of innovations in organizations are multidimensional, multilevel, and context-dependent. They investigate what external and internal conditions induce innovation, how organizations manage innovation process, and in what ways innovation changes organizational conduct and outcome. Indiscreet application of findings from one discipline or context to another, lack of distinction between generating (creating) and adopting (using) innovations, and likening organizational innovation with technological innovation have clouded the understanding of this important concept, hampering its advancement. This article organizes studies of organizational innovation to make them more accessible to interested scholars and combines insights from various strands of innovation research to help them design and conduct new studies to advance the field. The perspectives of organizational competition and performance and organizational adaptation and progression are introduced to serve as platforms to position organizational innovation in the midst of innovation concepts, elaborate differences between innovating and innovativeness, and decipher key typologies, primary sets of antecedents, and performance consequences of generating and adopting innovations. The antecedents of organizational innovation are organized into three dimensions of environmental (external, contextual), organizational (structure, culture), and managerial (leadership, human capital). A five-step heuristic based on innovation type and process is proposed to ease understanding of the existing studies and select suitable dimensions and factors for conducting new studies. The rationale for the innovation–performance relationship in strands of organizational innovation research, and the employment of types of innovation and performance indicators, is articulated by first-mover advantage and performance gap theory, in conjunction with the perspectives of competition and performance and of adaptation and progression. Differences between effects of technological and nontechnological innovation and stand-alone and synchronous innovations are discussed to articulate how and to what extent patterns of the introduction of different types of innovation could contribute to organizational performance or effectiveness. In conclusion, ideas are proposed to demystify organizational innovation to allure new researches, facilitate their learning, and provide opportunities for the development of new studies to advance the state of knowledge on organizational innovation.

Article

National Systems of Innovation  

Erik E. Lehmann and Julian Schenkenhofer

The pursuit of economic growth stands out as one of the main imperatives within modern economies. Nevertheless, economies differ considerably in their competitiveness. Theories on the endogeneity of growth agree on the value of knowledge creation and innovativeness to determine a country’s capability to achieve a sustained performance and to adapt to the dynamics of changing environments and faster information flows. To this effect, national institutional regimes shape nation-specific contexts and embed individuals and firms. The resulting incentive structures shape the attitudes and behavior of individuals and firms alike, whose interactions contribute to the accumulation and flow of knowledge among the nodes of their networks. National systems of innovation (NSIs) therefore embody a concept that aims to analyze the national innovation performance of economies. It rests its rationale in the variation of national institutions that shape the diffusion of technologies through the process of shared knowledge creation and the development of learning routines. Both public and private institutions are thought to interact in a given nation-specific institutional context that essentially affects incentive schemes and resource allocation of the involved economic agents in creating, sharing, distributing, absorbing, and commercializing knowledge. To this effect, public policy plays a key role in the NSI through building bridges between these actors, reducing information asymmetries, and providing them with resources from others within the system. The different actors contributing to the creation and diffusion of knowledge within the system are needed to exchange information and provide the engine for sustained economic growth. Universities, research institutes, companies and the individual entrepreneur are in charge of shaping their economic system in a way that resource and skill complementarities are exploited to the mutual benefit.

Article

Innovation in Family Business  

Alfredo De Massis, Emanuela Rondi, and Samuel Wayne Appleton

The involvement of families in firms’ ownership, management, and governance is a key driver of organizational attitudes, behaviors, and performances, especially those related to innovation. Starting from the beginning of the 21st century, the academic interest toward family firm innovation has bloomed. This body of research has mostly emerged from family firm scholars, while mainstream innovation scholars have often overlooked family variables in their studies. Indeed, innovation is one of the main areas in family firm research, integrating family and business aspects, leading to a plethora of sometimes contradictory findings. Initially, research compared innovation between family and nonfamily firms. While this approach has been beneficial to the rise of this stream of research and underlined the idiosyncratic characteristics of family firms on this matter, it soon emerged that within family firms there is a high degree of heterogeneity, especially in their attributes and the way they relate to innovation. Therefore, scholars have delved deeper into the heterogeneous influence that different types and degrees of family involvement in the firm can exert on innovation. This vast body of literature can be reconciled according to an antecedents–activities–outcomes framework allowing to attune current understanding of family firm innovation and recommend directions for future research. While most of current research has examined the antecedents of family business innovation, further examination of the activity of innovating in family firms is needed. Fostering accessibility to this literature allows students, practitioners, and scholars to grasp and digest this insightful area of family business research. It also encourages an extension of the range of perspectives adopted to examine innovation in family firms, contributing to advance current knowledge.

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

Social Innovation Pedagogies and Sustainable Models for Future Entrepreneurs, Intrapreneurs, and Citizens  

Roisin Lyons and Rahmin Bender-Salazar

The use of innovation to address our social or environmental needs is now critical. Globally, we are faced with numerous challenges which require novel, robust solutions that consider multiple scenarios and stakeholders. Innovation education has often been siloed into enterprise, business, and engineering programs to bolster the innovative potency of startup ventures and internal corporate processes. However, social innovation education (SIE) has merit in all disciplines, and for all citizens, to address these emergent global challenges. Social innovation as a concept and field is related but independent from the concept of innovation, and the pedagogies currently in use in these domains are in early development and practice. Social innovation relates to the creation of new ideas displaying a positive impact on the quality and duration of life. Theories of significance to SIE are rooted in the fields of design, creativity, and education while continuing to expand and evolve. A fitting pedagogy for social innovation should foster socially aware students who have both critical- and systems-thinking skills, empathy and an appreciation for human behavior, and who can leverage innovative competencies to develop solutions for positive social impact. In order to successfully create effective learning spaces, we contend that the curricula elements of (a) empathy, (b) locus of control, and (c) speculative thinking, should be embedded into all SIE learning designs.

Article

Online Communities and Knowledge Collaborations  

Samer Faraj and Takumi Shimizu

Online communities (OCs) are emerging as effective spaces for knowledge collaboration and innovation. As a new form of organizing, they offer possibilities for collaboration that extend beyond what is feasible in the traditional hierarchy. OC participants generate new ideas, talk about knowledge, and remix and build on each other’s contributions on a massive scale. OCs are characterized by fluidity in the resources that they draw upon, and they need to manage these tensions in order to sustain knowledge collaboration generatively. OCs sustain knowledge collaboration by facilitating both tacit and explicit knowledge flows. Further, OCs play a key role in supporting and sustaining the knowledge collaboration process that is necessary for open and user innovation. As collective spaces of knowledge flows, OCs are mutually constituted by digital technologies and participants. The future is bright for OC research adopting the knowledge perspective and focusing on how to sustain their knowledge flow.

Article

Innovation for Society  

Sanjay Sharma

At a macro level, innovation for society refers to innovation of societal institutions. At a micro level, it refers to innovations undertaken by social entrepreneurs as start-ups with a social and/or environmental mission and innovations undertaken by firms in products/services, processes, operations, technologies, and business models to address social and environmental challenges while achieving core economic objectives. The focus here is on firm-level innovations and the drivers for such innovations. Exogenous drivers include institutional-level influences such as regulations, societal norms, and industry best practices (mimetic forces) and stakeholder-level influences including shareholders, investors, customers, regulators, nongovernmental organizations, media, and others that have power, legitimacy, and urgency of their claims directly or indirectly via other stakeholders. The endogenous drivers include institutional ownership, activist shareholders, boards of directors, ownership, and competitive strategy focused on developing profitable businesses that address societal challenges. Even when the firm is motivated due to exogenous and endogenous drivers to undertake investments in innovating for society, it needs the capacity to generate and implement such innovations. Innovations for society require motivated managers, managerial capacity, and organizational capabilities that go beyond routine innovations that firms undertake to improve products and processes and enter new markets. This capacity enables firms to reconcile their performance on economic, social, and environmental metrics to address societal challenges while achieving core economic objectives. Managerial capacity requires firms to overcome cognitive biases and create opportunity frames that convert negative loss bias, where managers perceive lack of control over outcomes, to a positive opportunity bias, where managers perceive the ability to control their decisions and actions. Opportunity framing involves legitimization of innovation for society in the corporate identity, integration of sustainability metrics into performance evaluation, creation of discretionary slack, and empowerment of managers with a relevant and ongoing information flow. Innovating for society also requires major changes in a firm’s decision-making processes and investments in new organizational capabilities of engaging stakeholders and integration of external learning, processes of continuous improvement of operations, higher order or double-loop organizational learning by integrating external learning with internal knowledge, cross-functional integration, technology portfolios, and strategic proactivity, all leading to processes of continuous innovation. Knowledge about the role of firms in addressing societal challenges has grown over the past three decades as scholars in multiple disciplines have explained the motivations of firms to undertake innovations for society, processes to build organizational capabilities to adopt and implement sustainability strategies, and linkages of such strategies to financial performance. Nevertheless, such innovations and strategies are far from a universal norm.

Article

Advances in Team Creativity Research  

Lucy L. Gilson, Yuna S. H. Lee, and Robert C. Litchfield

Although creativity research has historically focused on individuals, with more and more employees working in teams, researchers have started to explore the construct of team creativity. Rather than a comprehensive review, this article takes an in-depth look at the most recent team creativity research. To do this, key themes and trends are discussed, which are then tied back to prior reviews, and new avenues for future research are proposed. Team creativity is a challenging construct because it can be conceptualized as both an outcome and a process, and there is no clear definition of either. When considering team creativity as an outcome, research has employed both complex mediation models as well as a more nuanced examination of moderating variables and constructs that may strengthen or attenuate the effects of relationships related to team creativity. This growing avenue of research recognizes the variability in team creativity that is possible in different circumstances and contexts, and seeks to identify what drives different outcomes. These approaches also acknowledge that team creativity is not guaranteed even when enabling conditions are in place, and that other variables may exert forces in different ways. The recognition that team creativity is unlikely to be the simple sum of members’ creative processes is becoming very apparent, with researchers examining ways of encouraging, fostering, and sustaining creativity in teams over time. Researchers have also recognized that team creativity is more likely to unfurl over time as a process, rather than a discrete point-in-time event. To this end, the key areas examined are the roles of member diversity and leadership. For diversity, racio-ethno, cultural, gender, age, political orientation, and diversity training have all been examined. For leadership, the focus has shifted away from the more traditional transformational theories and to newer constructs such as humility, ethical and shared leadership, as well as what it means to have an ideational leader who facilitates idea generation. Taken together, what the most recent research tells us is that creativity in teams remains a growing and evolving area of inquiry. While no longer unexplored, much remains to be clarified such as the barriers to effective team creativity, and practices that may help transcend these barriers. A lot of promising areas for future research are highlighted, which will become more important as workplaces pivot toward cultivating team creativity in a systematic and intentional way.

Article

Innovation Challenges  

Yao Sun and Ann Majchrzak

Starting from early 21st century, companies increasingly use open innovation challenges to generate creative solutions to business problems. This revolution in business models and management strategy reflects the evolution supported by new technology. Employing this new strategic model, companies seek to innovate in a wide variety of areas, such as clothes designs, photography solutions, business plans, and film production. Contrary to closed innovation through which companies develop creative ideas internally, innovation challenges are catalyzed by socioeconomic changes such as the rapid advancement of information technologies, increased labor division, as well as ever-expanding globalization. Going hand in hand are trends such as outsourcing, occurring in parallel in the management area, which makes companies more agile and flexible. Multifaceted and multidimensional, open innovation challenges consist of various activities such as inbound innovation (acquiring and sourcing), outbound innovation (selling and revealing), or a compound mix of these two forms. It also pertains to complementary assets, absorptive capacity, organizational exploration, and exploitation. In an attempt to determine how to best support such an important component of society, scholars and practitioners continue to pursue effective innovation challenge architecture (the art or practice that guides participants’ interactions and exchange) that allows open collaboration among the crowd, as well as an approach for incorporating such architecture into technological platforms in order to improve the crowd’s creativity. This issue is addressed by focusing on existing research that delineates various types of effective architecture of innovation challenges. A theory-based framework guides this examination, and work from various scholarly perspectives of innovation challenges, knowledge management, motivated knowledge sharing, and crowdsourcing are integrated into this framework.

Article

Crowdsourcing Innovation  

Linus Dahlander and Henning Piezunka

Crowdsourcing—a form of collaboration across organizational boundaries—provides access to knowledge beyond an organization’s local knowledge base. There are four basic steps to crowdsourcing: (a) define a problem, (b) broadcast the problem to an audience of potential solvers, (c) take actions to attract solutions, and (d) select from the set of submitted ideas. To successfully innovate via crowdsourcing, organizations must complete all these steps. Each step requires an organization to make various decisions. For example, organizations need to decide whether its selection is made internally. Organizations must take into account interdependencies among these four steps. For example, the choice between qualitative and quantitative selection mechanisms affects how widely organizations should broadcast a problem and how many solutions they should attract. Organizations must make many decisions, and they must take into account the many interdependencies in each key step.

Article

History of Social Psychology  

Andrew Ward

Social psychology represents a scientific approach that fosters advances in both theory and practical application designed to understand and enhance interactions among individuals and groups.

Article

Contemporary Views on Economics of Patents  

Shubha Ghosh

A patent is a legal right to exclude granted by the state to the inventor of a novel and useful invention. Much legal ink has been spilled on the meaning of these terms. “Novel” means that the invention has not been anticipated in the art prior to its creation by the inventor. “Useful” means that the invention has a practical application. The words “inventor” and “invention” are also legal terms of art. An invention is a work that advances a particular field, moving practitioners forward not simply through accretions of knowledge but through concrete implementations. An inventor is someone who contributes to an invention either as an individual or as part of a team. The exclusive right, finally, is not granted gratuitously. The inventor must apply and go through a review process for the invention. Furthermore, a price for the patent being granted is full, clear disclosure by the inventor of how to practice the invention. The public can use this disclosure once the patent expires or through a license during the duration of the patent. These institutional details are common features of all patent systems. What is interesting is the economic justification for patents. As a property right, a patent resolves certain externality problems that arise in markets for knowledge. The establishment of property rights allows for trade in the invention and the dissemination of knowledge. However, the economic case for property rights is made complex because of the institutional need to apply for a patent. While in theory, patent grants could be automatic, inventions must meet certain standards for the grant to be justified. These procedural hurdles create possibilities for gamesmanship in how property rights are allocated. Furthermore, even if granted correctly, property rights can become murky because of the problems of enforcement through litigation. Courts must determine when an invention has been used, made, or sold without permission by a third party in violation of the rights of the patent owner. This legal process can lead to gamesmanship as patent owners try to force settlements from alleged infringers. Meanwhile, third parties may act opportunistically to take advantage of the uncertain boundaries of patent rights and engage in undetectable infringement. Exacerbating these tendencies are the difficulties in determining damages and the possibility of injunctive relief. Some caution against these criticisms through the observation that most patents are not enforced. In fact, most granted patents turn out to be worthless, when gauged in commercial value. But worthless patents still have potential litigation value. While a patent owner might view a worthless patent as a sunk cost, there is incentive to recoup investment through the sale of worthless patents to parties willing to assume the risk of litigation. Hence the phenomenon of “trolling,” or the rise of non-practicing entities, troubles the patent landscape. This phenomenon gives rise to concerns with the anticompetitive uses of patents, demonstrating the need for some limitations on patent enforcement. With all the policy concerns arising from patents, it is no surprise that patent law has been ripe for reform. Economic analysis can inform these reform efforts by identifying ways in which patents fail to create a vibrant market for inventions. Appreciation of the political economy of patents invites a rich academic and policy debate over the direction of patent law.

Article

Transformational Leadership and Change in Education  

David Litz and Rida Blaik-Hourani

Transformational leadership is one of the most widely discussed and utilized notions that has risen to the forefront of educational administration. Transformational leadership was initially conceived of as a process whereby leaders strategically transform the system or organization to a higher level by increasing the achievement and motivation of their followers. Early theorists would also argue that transformational leadership and change are inexorably intertwined, which in turn underscored the importance of a leader’s ability to positively transform the attitudes, norms, institutions, behaviors, and actions that structure our daily lives. Later writers and researchers would gradually extend and develop the theory and argue that the goal of transformational leadership is to transform people as well as organizations. Early work on transformational leadership concentrated on politics, business, and the armed services, and the research emphasized the value of “followers” as a distinguishing factor present in the transformational leadership model. This distinction is likely what led scholars to apply its tenets to modern educational contexts, which are typically characterized by significant pressures to implement widespread reforms and change. In this regard, transformational leadership is often viewed as well suited to education as it empowers followers (i.e., instructors) and provides them with a sense of hope, optimism, and energy and defines the vision of productivity as they accomplish goals. Additionally, transformational leaders work toward influencing shared beliefs and values to create a comprehensive level of change and innovation and aim to nurture a school culture that is oriented toward a learning ethos, whereby such leaders seek to expand the capacities of each employee, enhance their ways of thinking, and promote individual ambition. In this way, learning and growth becomes a shared responsibility. Transformational leadership has garnered significant attention and popularity. However, when viewed from a globalized and cross-cultural perspective it raises significant questions regarding generalization. One key question in the literature surrounding transformational leadership is whether the concept can be applied across national and organizational cultures. Theoretical education debates often focus on transformational leadership’s reliability and viability within educational environments, especially regarding how such environments define and handle change, organizational learning, institutional effectiveness and improvement, and enhancing student outcomes.

Article

Diffusion Theory in Integrative Approaches  

Gary L. Kreps

Diffusion is the process through which new ideas, technologies, products, or processes are spread through communication among members of a social system via communication channels over time. Diffusion is a specialized form of communication that focuses on disseminating information about new ideas, products, technologies, services, or regulations. It is an especially important form of communication because it promotes social progress in the evaluation and adoption of important new ideas to address social issues. Diffusion helps to reduce uncertainty about how to address difficult issues and provides direction for achieving social goals. A large body of research has been conducted from many disciplines on the diffusion of innovations since the original publication of Everett M. Rogers’ seminal book The Diffusion of Innovations in 1962, which is now in its fifth edition (2003). In this book, he introduced the Diffusion of Innovations (DOI) model, which describes a general process of adopting new ideas across multiple populations, cultures, and applications. This research has examined innovations in fields such as agriculture, engineering, sales, education, architecture, technology, public policy, and health care, and has been applied to a range of different issues, such as the adoption of new technologies, consumer purchasing behaviors, and public support for political issues and candidates, but has been especially influential in guiding strategic health promotion. The DOI model has contributed to a greater understanding of health behavior change, including adoption of health promotion recommendations. The model has led to a broad scope of practical applications for promoting public health.

Article

Science and Innovation Policy  

Cristina Chaminade and Bengt-Åke Lundvall

This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Business and Management. Please check back later for the full article. Scientific advance and innovation are major sources of economic growth and are crucial for making social and environmental development sustainable. A critical question is if private enterprises invest sufficiently in research and development and, if not, to what degree and how governments should engage in the support of science and innovation. While neoclassical economists point to market failure as the main rationale for innovation policy, evolutionary economists point to the role of government in building stronger innovation systems and creating wider opportunities for innovation. Research shows that the transmission mechanisms between scientific advance and innovation are complex and indirect. There are other equally important sources of innovation, including experience-based learning. Innovation is increasingly seen as a systemic process where the feedback from users needs to be taken into account when designing public policy. Science and innovation policy may aim at accelerating knowledge production along well-established trajectories or at giving new direction to the production and use of knowledge. It may be focused exclusively on economic growth, or it may give attention to the impact on social inclusion and the natural environment. An emerging topic is the extent to which national perspectives continue to be relevant in a globalizing learning economy facing multiple global complex challenges, including the issue of global warming. Scholars point to a movement toward transformative innovation policy and global knowledge sharing as a response to current challenges.

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

Governance in Digital Open Innovation Platforms  

Likoebe Maruping and Yukun Yang

Open innovation is defined as an approach to innovation that encourages a broad range of participants to engage in the process of identifying, creating, and deploying novel products or services. It is open in the sense that there is little to no restriction on who can participate in the innovation process. Open innovation has attracted a substantial amount of research and widespread adoption by individuals and commercial, nonprofit, and government organizations. This is attributable to three main factors. First, open innovation does not restrict who can participate in the innovation process, which broadens the access to participants and expertise. Second, to realize participants’ ideas, open innovation harnesses the power of crowds who are normally users of the product or service, which enhances the quality of innovative output. Third, open innovation often leverages digital platforms as a supporting technology, which helps entities scale up their business. Recent years have witnessed a rise in the emergence of a number of digital platforms to support various open innovation activities. Some platforms achieve notable success in continuously generating innovations (e.g., InnoCentive.com, GitHub), while others fail or experience a mass exodus of participants (e.g., MyStarbucksIdea.com, Sidecar). Prior commentaries have conducted postmortems to diagnose the failures, identifying possible reasons, such as overcharging one side of the market, failing to develop trust with users, and inappropriate timing of market entry. At the root of these and other challenges that digital platforms face in open innovation is the issue of governance. In the article, governance is conceptualized as the structures determining how rigidly authority is exerted and who has authority to make decisions and craft rules for orchestrating key activities. Unfortunately, there is no comprehensive framework for understanding governance as applied to open innovation that takes place on digital platforms. A governance perspective can lend insight on the structure of how open innovation activities on digital platforms are governed in creating and capturing value from these activities, attracting and matching participants with problems or solutions, and monitoring and controlling the innovation process. To unpack the mystery of open innovation governance, we propose a framework by synthesizing and integrating accreted knowledge from the platform governance literature that has been published in prominent journals over the past 10 years. Our framework is built around four key considerations for governance in open innovation: platform model (firm-owned, market, or community), innovation output ownership (platform-owned, pass-through, or shared), innovation engagement model (transactional, collaborative, or embedded), and nature of innovation output (idea or artifact). Further, we reveal promising research avenues on the governance of digital open innovation platforms.