Science and Technology Policy Institute

The term responsible (research and) innovation has gained increasing EU policy relevance in the last two years, in particular within the European Commission’s Science in Society programme, in the context of the Horizon 2020 Strategy. We provide a brief historical overview of the concept, and identify three distinct features that are emerging from associated discourses. The first is an emphasis on the democratic governance of the purposes of research and innovation and their orientation towards the ‘right impacts’. The second is responsiveness, emphasising the integration and institutionalisation of established approaches of anticipation, reflection and deliberation in and around research and innovation, influencing the direction of these and associated policy. The third concerns the framing of responsibility itself in the context of research and innovation as collective activities with uncertain and unpredictable consequences. Finally, we reflect on possible motivations for responsible innovation itself.

Work‐Oriented Design of Computer Artifacts. Pelle Ehn Stockholm: Almqvist and Wiksell International for Arbetslivcentrum, 1988. 496 pp.

Nanomedicine is the application of nanotechnology to the discipline of medicine: the use of nanoscale materials for the diagnosis, monitoring, control, prevention, and treatment of disease. Nanomedicine holds tremendous promise to revolutionize medicine across disciplines and specialties, but this promise has yet to be fully realized. Beyond the typical complications associated with drug development, the fundamentally different and novel physical and chemical properties of some nanomaterials compared to materials on a larger scale (i.e., their bulk counterparts) can create a unique set of opportunities as well as safety concerns, which have only begun to be explored. As the research community continues to investigate nanomedicines, their efficacy, and the associated safety issues, it is critical to work to close the scientific and regulatory gaps to assure that nanomedicine drives the next generation of biomedical innovation.

Crude oil and petroleum products are widespread water and soil pollutants resulting from marine and terrestrial spillages. International statistics of oil spill sizes for all incidents indicate that the majority of oil spills are small (less than 7 tonnes). The major accidents that happen in the oil industry contribute only a small fraction of the total oil which enters the environment. However, the nature of accidental releases is that they highly pollute small areas and have the potential to devastate the biota locally. There are several routes by which oil can get back to humans from accidental spills, e.g. through accumulation in fish and shellfish, through consumption of contaminated groundwater. Although advances have been made in the prevention of accidents, this does not apply in all countries, and by the random nature of oil spill events, total prevention is not feasible. Therefore, considerable world-wide effort has gone into strategies for minimising accidental spills and the design of new remedial technologies. This paper summarizes new knowledge as well as research and technology gaps essential for developing appropriate decision-making tools in actual spill scenarios. Since oil exploration is being driven into deeper waters and more remote, fragile environments, the risk of future accidents becomes much higher. The innovative safety and accident prevention approaches summarized in this paper are currently important for a range of stakeholders, including the oil industry, the scientific community and the public. Ultimately an integrated approach to prevention and remediation that accelerates an early warning protocol in the event of a spill would get the most appropriate technology selected and implemented as early as possible - the first few hours after a spill are crucial to the outcome of the remedial effort. A particular focus is made on bioremediation as environmentally harmless, cost-effective and relatively inexpensive technology. Greater penetration into the remedial technologies market depends on the harmonization of environment legislation and the application of modern laboratory techniques, e.g. ecogenomics, to improve the predictability of bioremediation.

A reinvestment in agricultural R&D is critical to ensuring sufficient food for the world in the coming decades.

The past 50–100 years have witnessed dramatic changes in agricultural production and productivity, driven to a great extent by public and private investments in agricultural research, with profound implications especially for the world's poor. In this article, we first discuss how the high-income countries like the United States represent a declining share of global agricultural output while middle-income countries like China, India, Brazil, and Indonesia represent a rising share. We then look at the differing patterns of agricultural inputs across countries and the divergent productivity paths taken by their agricultural sectors. Next we examine productivity more closely and the evidence that the global rate of agricultural productivity growth is declining—with potentially serious prospects for the price and availability of food for the poorest people in the world. Finally we consider patterns of agricultural research and development efforts.

Marine reserves have been proposed as a remedy for overfishing and declining marine biodiversity, but concern that reserves would inherently reduce yields has impeded their implementation. It was found that management of fisheries through reserves and management through effort control produce identical yields under a reasonable set of simplifying assumptions corresponding to a broad range of biological conditions. Indeed, for populations with sedentary adults (invertebrates and reef fishes), reserves have important advantages for sustainability, making marine reserves the preferred management approach.

This review provides current information on the analytical methods used to identify food adulteration in the six most adulterated food categories: animal origin and seafood, oils and fats, beverages, spices and sweet foods (e.g. honey), grain-based food, and others (organic food and dietary supplements). The analytical techniques (both conventional and emerging) used to identify adulteration in these six food categories involve sensory, physicochemical, DNA-based, chromatographic and spectroscopic methods, and have been combined with chemometrics, making these techniques more convenient and effective for the analysis of a broad variety of food products. Despite recent advances, the need remains for suitably sensitive and widely applicable methodologies that encompass all the various aspects of food adulteration. © 2017 Society of Chemical Industry.

Whether competition among large groups played an important role in human social evolution is dependent on how variation, whether cultural or genetic, is maintained between groups. Comparisons between genetic and cultural differentiation between neighboring groups show how natural selection on large groups is more plausible on cultural rather than genetic variation.

This review by a multidisciplinary team maps key components and emerging connections within the intellectual landscape of agroecology. We attempt to extend and preview agroecology as a discipline in which agriculture can be conceptualized within the context of global change and studied as a coupled system involving a wide range of social and natural processes. This intrinsic coupling, combined with powerful emerging drivers of change, presents challenges for the practice of agroecology and agriculture itself, as well as providing the framework for some of the most innovative research areas and the greatest potential for innovation for a sustainable future in agriculture. The objective of this review is to identify forward-looking scientific questions to enhance the relevance of agroecology for the key challenges of mitigating environmental impacts of agriculture while dramatically increasing global food production, improving livelihoods, and thereby reducing chronic hunger and malnutrition over the coming decades.

Purpose The purpose of this paper is to develop a comprehensive research model that can explain customers’ continuance intentions to adopt and use intelligent personal assistants (IPAs). Design/methodology/approach This study proposes and validates a new theoretical model that extends the parasocial relationship (PSR) theory. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 304 survey samples. Findings Interpersonal attraction (task attraction, social attraction, and physical attraction) and security/privacy risk are important factors affecting the adoption of IPAs. Research limitations/implications First, this is the first empirical study to examine user acceptance of IPAs. Second, to the authors’ knowledge, no research has been conducted to test the role of PSR in the context of IPAs. Third, this study verified the robustness of the proposed model by introducing new antecedents reflecting risk-related attributes, which has not been investigated in prior PSR research. But this study has limitations that future research may address. First, key findings of this research are based only on data from users in the USA. Second, individual differences among the survey respondents were not examined. Practical implications To increase the adoption of IPAs, manufacturers should focus on developing “human-like” and “professional” assistants, in consideration of the important role of PSR and task attraction. R&D should continuously strive to realize artificial intelligence technology advances so that IPAs can better recognize the user’s voice and speak naturally like a person. Collaboration with third-party companies or individual developers is essential in this field, as manufacturers are unable to independently develop applications that support the specific tasks of various industries. It is also necessary to enhance IPA device design and its user interface to enhance physical attraction. Originality/value This study is the first empirical attempt to examine user acceptance of IPAs, as most of the prior literature has concerned analysis of usage patterns or technical features.

We argue that biotas at scales from local communities to entire continents are nearly always open to new species and that their diversities are far from any ecological limits. We show that the fossil, phylogenetic, and morphological evidence that has been used to suggest that ecological processes set limits to diversity in evolutionary time is weak and inconsistent. At the same time, ecological evidence from biological invasions, experiments, and diversity analyses strongly supports the openness of communities to new species. We urge evolutionary biologists to recognize that ecology has largely moved beyond simple notions of equilibrium at a carrying capacity and toward a richer view of communities as highly dynamic in space and time.

Social-ecological systems are governed by a complex of ecology of games featuring multiple actors, policy institutions, and issues, and not just single institutions operating in isolation. We update The ecology of games is operationalized as a bipartite network with actors participating in institutions, and exponential random graph models are used to test hypotheses about the structural features of the network. We found that policy coordination is facilitated mostly by federal and state agencies and collaborative institutions that span geographic boundaries. Network configurations associated with closure show the most significant departures from the predicted model values, consistent with the Berardo and Scholz (2010) "risk hypothesis" that closure is important for solving cooperation problems.

We review the origins and dispersal of rice in Asia based on a data base of 443 archaeobotanical reports. Evidence is considered in terms of quality, and especially whether there are data indicating the mode of cultivation, in flooded (‘paddy’ or ‘wet’) or non-flooded (‘dry’) fields. At present it appears that early rice cultivation in the Yangtze region and southern China was based on wet, paddy-field systems from early on, before 4000 bc, whereas early rice in northern India and Thailand was predominantly dry rice at 2000 bc, with a transition to flooded rice documented for India at c. 1000 bc. On the basis of these data we have developed a GIS spatial model of the spread of rice and the growth of land area under paddy rice. This is then compared with a review of the spread of ungulate livestock (cattle, water buffalo, sheep, goat) throughout the Old World. After the initial dispersal through Europe and around the Mediterranean (7000–4000 bc), the major period of livestock expansion is after 3000 bc, into the Sub-Saharan savannas, through monsoonal India and into central China. Further expansion, to southern Africa and Southeast Asia dates mostly after 1000 bc. Based on these two data sets we provide a quantitative model of the land area under irrigated rice, and its likely methane output, through the mid to late Holocene, for comparison to a more preliminary estimate of the expansion of methane-producing livestock. Both data sets are congruent with an anthropogenic source of later Holocene methane after 3000 bc, although it may be that increase in methane input from livestock was most significant in the 3000–1000 bc period, whereas rice paddies become an increasingly significant source especially after 2000 bc.

Drunks are accorded great social license in Oaxacan villages. They may shout insults, intrude uninvited into social gatherings, and behave in other normally unacceptable ways… [A]pparent inebriation serves to define a crucial role in village life: the licensed drunk pierces the elaborate information control devices of the community and provides the barefaced facts and opinions which normally go unspoken (Dennis 1975: 856, 862). As reflected in this epigraph, social license is not a new concept per se. In fact, social license has long been understood to play a vital function in society whereby social norms can precede and supersede legal rules.1 In this case, the community tolerates the drunk in exchange for his role in speaking truth to power. Alongside this older conception, however, over the past two decades an allied concept of social license to operate (SLO) has emerged, especially in the context of mining, oil and gas development, and other resource-related projects (Gehman et al. 2016; Raufflet et al. 2013). For instance, after mentioning the concept of social license in less than 10 articles a year from 1997 through 2002, news media mentioned social license in more than 1,000 articles a year from 2013 to 2015, and more than 2,000 articles in 2016.2 Given the increasing prominence of social media and Indigenous engagement, governments, journalists, and public administration scholars have become interested in the topic of social license to operate. Despite the term's growing popularity, however, the concept of social license to operate has so far had only tenuous scholarly footing. In this article, we attempt to remedy this problem by reviewing and analyzing existing literature, including journal articles, popular books, and reports from industry, consultants, and government. Rather than dismissing the concept, we aim to foster greater scholarly appreciation of the key concepts and diverse frameworks potentially implicated in discussions of social license to operate. Notably, our review identifies and synthesizes three different varieties of SLO. After highlighting some of the similarities and differences among these varieties, we investigate the linkages between SLO and legitimacy, paying attention to how the two concepts differ from and interrelate with one another. We then review methods that have been used to measure social license. Overall, our review demonstrates opportunities for more systematic and nuanced terminological use, while suggesting the need for further empirical and theoretical research. We close by discussing implications for stakeholder engagement, evolving models of regulation, and potential avenues for research. The first variety of social license, the pyramid model, was developed iteratively in a series of articles, papers, and presentations by mining industry consultants over the 14-year period from 2000 to 2013. Proponents credit James Cooney, then an executive at Canadian gold mining company Placer Dome, for inspiring the model (for reviews, see Black 2013; Boutilier 2014; Thomson and Boutilier 2011).3 In 1996, Placer Dome had been severely criticized after a tailings dam failed at one of its mines in the Philippines, releasing toxic mud into a river and burying a village (Boutilier 2014). More generally, mining was ranked the worst of 24 U.S. industries in a 1996 Roper opinion poll, behind even the tobacco industry (Thomson and Boutilier 2011). It was in this context in 1997 that Cooney reportedly characterized the industry's problems to World Bank officials as a matter of obtaining a “social license to operate.” World Bank personnel are said to have circulated the term at a May 1997 conference on mining and the community (Thomson and Boutilier 2011). A social license to operate exists when a mineral exploration or mining project is seen as having the approval, the broad acceptance of society to conduct its activities…Such acceptability must be achieved on many levels, but it must begin with, and be firmly grounded in, the social acceptance of the resource development by local communities (Joyce and Thomson 2000: 52). Usage in the industry became widespread thereafter. In a 2003 project sponsored by Newmont Mining Corporation, Business for Social Responsibility (BSR) published six case studies on social license in the mining industry, defining the concept as “gaining support for the project from concerned groups, or stakeholders, over and above meeting any legal requirements” (BSR 2003: 4). A convenience survey (n = 152) of mining industry participants conducted in 2005–2006 revealed that 78 per cent of respondents were familiar with the term “social license.”4 Whether previously familiar with the term or not, 81 per cent agreed that, intuitively, social license was an apt way to describe societal and community acceptance of the right to access and extract mineral resources; and 56 per cent reported that their organizations used the term or its underlying concepts (Nelsen 2007: 9–10). Looking back on these and other early efforts, scholars have concluded that the concept of social license to operate initially emerged as little more than a memorable turn of phrase, “a term largely invented by business, for business” (Morrison 2014: 14; see also Raufflet et al. 2013). Some years later, in an industry conference presentation, Thomson and Joyce (2008) expanded their definition of social license to operate to include three “normative components:” legitimacy, defined as “conforming to established norms…legal, social, cultural and both formal and informal;” credibility, defined as “the quality of being believed—the capacity or power to elicit belief;” and trust, defined as the “willingness to be vulnerable to risk or loss through the actions of another.”5 They further differentiated between project acceptance and approval, arguing that legitimacy is necessary for acceptance, but credibility and trust are necessary for approval. Boutilier (2014), also an industry consultant, credited Joyce and Thomson for: (a) being the first to define social license to operate in terms of legitimacy; and (b) proposing that social license to operate at the project level would promote reputation benefits at the corporate level.6 Thomson and Boutilier (2011; see also Boutilier and Thomson 2011; Thomson, Boutilier and Black 2011) later elaborated their definition into a multilevel pyramid model (see Figure 1). In this model, legitimacy distinguishes projects that have been rejected (that is, projects for which social license to operate has been withheld/withdrawn) from those that have been accepted by stakeholders through engagement with them according to the “rules of the game.” Credibility distinguishes projects that have been accepted from those that have been approved by stakeholders through formal negotiation, definition, and agreement on the roles and responsibilities of the company and stakeholders. Finally, trust distinguishes projects that have been approved from those for which stakeholders have adopted what they called a sense of co-ownership or psychological identification through collaborations, shared experiences, and vulnerabilities. More recently, the Australian Centre for Corporate Social Responsibility (ACCSR) adopted the pyramid model of social license to operate. Notably, the centre's managing director, Leeora Black (2013), has promoted the pyramid model as a “management framework for complex times.” The Pyramid Model (Adapted From Boutilier and Thomson 2011: 1784) A second variety of social license, what we refer to as the three strand model, was developed in a series of interrelated publications in 2003 and 2004 (Gunningham, Kagan and Thornton 2003, 2004; Kagan, Gunningham and Thornton 2003; Thornton, Kagan and Gunningham 2003). Whereas the originators of the pyramid model conceived of “social license to operate” as something of a dependent variable, which was in need of explanation, Gunningham and colleagues (Gunningham, Kagan and Thornton 2003: 2) started with a series of research questions: “Why has corporate environmental performance improved over time? Despite this improvement, why are some firms better environmental performers than others? How, and to what extent, can corporations be motivated to go beyond compliance with existing environmental regulations?” Ultimately, these research questions resulted in the inductive emergence of social license as one part of a larger explanatory framework. In other words, social license to operate emerged as something of an independent variable critical to explaining why some companies went beyond merely complying with environmental regulations, while other companies fell short of regulatory compliance. To answer their research questions, these scholars conducted an in-depth study of the environmental performance of 14 pulp mills located in the United States, Canada, Australia and New Zealand. Based on their findings, the authors proposed that companies in “closely watched industries” depend upon a multi-stranded license to operate: legal license, or the regulatory permits and statutory obligations embodying the demands of regulators, legislators, and judges; social license, or the demands of local, national, and international environmental activists, local community groups, and sometimes the general public; and economic license, or the profitability demands of top managers, lenders, and investors. In addition to their direct effects, the authors proposed that these different strands have interactive effects. Environmental groups may seek to enforce social license directly (for example, through shaming and adverse publicity), but also may attempt to influence economic license (for example, by generating consumer boycotts of environmentally damaging products) and legal license (for example, through citizen lawsuits or political pressure for regulatory initiatives). More recently, John Morrison (2014), executive director of the Institute for Human Rights and Business, proposed a variant of the three strand model (see Figure 2) that substitutes political license (that is, the authority that the government gives to any other organization to undertake a particular activity) for economic license (see also Brueckner et al. 2014 on the close link between politics and economics in the context of SLO). Although this may seem like a significant difference, it may be of little consequence. According to Morrison, the only time political license is not driven by economic considerations is if “you live in North Korea” (Morrison 2014: 22). The Three Strand Model (Adapted From Morrison 2014) Over the past decade, the original three strand model (Gunningham, Kagan and Thornton 2003, 2004; Kagan, Gunningham and Thornton 2003; Thornton, Kagan and Gunningham 2003) has spawned a variety of follow-on work. Lynch-Wood and Williamson (2007) examined whether social license concerns are sufficient to entice smaller firms to go beyond regulatory compliance in their environmental performance. They identified five factors that comprise social license—environmental impact of the firm's products and processes; customer power; customer interest; corporate/brand visibility; and community pressure—and argued that at least two of these factors must be salient for a small and medium enterprise (SME) to go beyond compliance. They concluded that for most SMEs, none of these five factors are significant enough to encourage going beyond compliance, and therefore, regulators cannot depend on social license considerations to either incentivize or sanction these firms. Thornton, Gunningham, and Kagan corroborated this conclusion in two studies of the U.S. trucking sector (Thornton, Kagan and Gunningham 2003, 2009). In these works, social license was defined as pressure from communities, advocacy groups, employees, and the news media. They concluded that, due primarily to low social visibility, environmental decisions in small trucking firms are driven almost entirely by economic license, and that social license pressures faced by these firms are very weak. Howard-Grenville, Nash, and Coglianese (2008), contributed to this discussion by showing that organizational activities beyond compliance are not solely driven by external factors, such as social license concerns. They examined the impact of five internal factors (managerial incentives, organizational culture, organizational identity, organizational self-monitoring, and personal affiliations and commitments) in 10 companies, five of which were participating in the U.S. Environmental Protection Agency's voluntary National Environmental Performance Track program. The authors found that firms in the two groups differed on company identity, self-monitoring, and managerial incentives and concluded that along with external regulatory, social and economic factors, internal factors significantly influence a company's willingness to go beyond compliance. The third variant of social license, the triangle model, is based on the concept of social acceptance that emerged in the 1970s and 1980s amid the first concerted efforts to develop renewable energy policies. Whereas the pyramid model conceives of social license to operate as an outcome worthy of explanation and the three strand model conceives of social license as part of the explanation for environmental performance that goes beyond regulatory requirements, the triangle model conceives of social license as resulting from a threefold set of “acceptance processes.” Namely, these researchers conceived of social acceptance as building confidence, familiarity, and trust in environmentally-friendly, but unproven technologies. Social acceptance is considered necessary to generate policy maker support for the financial and regulatory incentives required to overcome entrenched interests and the path dependency of conventional fossil fuel energy systems. Initially, the problem of social acceptance was largely neglected, in part because public opinion surveys indicated very high levels of support for renewable energy options. However, Carlman (1984) showed that public opinion surveys did not necessarily translate into public, political, and regulatory acceptance of renewables, such as wind power. More recently, Wüstenhagen, Wolsink and Bürer (2007: 2683) highlighted social acceptance as “a powerful barrier to the achievement of renewable energy targets.” As shown in Figure 3, they distinguished three dimensions: socio-political acceptance, or the broadest, most general level of social acceptance of both policies and technologies by the public, key stakeholders (that is, employees) and policymakers (see also Jegen and Philion 2017); community acceptance, or “the specific acceptance of siting decisions and renewable energy projects by local stakeholders, particularly local residents and local authorities” (Wüstenhagen, Wolsink and Bürer 2007: 2685), which may vary over time; and market acceptance, or the process of widespread adoption of an innovation. In particular, energy projects are embedded in complex multisided infrastructures that involve consumers, investors, and producers. The Triangle Model (Adapted From Wüstenhagen, Wolsink and Bürer 2007) This three-pronged distinction continues to provide a useful point of departure for this literature. Public opinion polls tend to show that while the general public remains favourable to the idea of wind, solar, biomass, wave, geothermal, and other renewable energy technologies (socio-political acceptance), host communities are not as supportive (community acceptance) (Devine-Wright 2011; Pasqualetti 2011). Findings show evidence of a “social gap” (Bell et al. 2013; Bell, Gray and Haggett 2005) between public support for the general goal of more wind energy and the level of local support for specific projects. Policymakers, renewable energy developers, and other experts tend to view those who oppose local renewable energy projects and adopt a not-in-my-backyard (NIMBY) position as ignorant and uninformed. Evidence indeed shows that some members of host communities take the NIMBY position (Walker, Baxter and Oulette 2014; Wolsink 2000, 2007). However, researchers strive to understand opponents on their own terms (Aitken 2010; Devine-Wright 2011), and some (for example, Cohen, Reichl and Schmidthaler 2014) have argued that NIMBY is a rational reaction that should be recognized and remedied through policies that compensate individuals for costs associated with living close to renewable energy projects. Batel et al. (2013) made important conceptual critiques of the term “social acceptance,” pointing out that scholars tend to erroneously conflate acceptance with support. They showed that residents react differently when asked if they would accept vs. support an energy project. “Acceptance” implies a more passive relationship to an energy project. Likewise, Walker and Cass (2007) observed that scholars (and policymakers) tend to view members of the public as falling on a spectrum between support for and opposition to such projects; however, members of the public also play other roles, as service users, investors, owners, lessors/lessees of land or buildings, captive consumers, protestors and more. The point is that acceptance and support implies a degree of agency that is not necessarily realistic. Due to decentralized energy distribution, a wind farm's operations involve thousands of disparate members of the public who may be totally unaware of their use of renewable sources of energy. In this sense, active “acceptance” is an imprecise term for the many forms of social relations that exist as renewables develop. Although only a few renewable energy scholars have adopted the term “social license” (for instance, see Corscadden, Wile and Yiridoe 2012; Hall and Jeanneret 2015), several have described local opposition as serving the necessary political function implied by the use of the legal/political term “license.” Barry and Ellis (2010) argued for new planning models that minimize the use of arbitrary authority to approve renewable energy generation facilities, and Ellis et al. (2009) noted that dissent serves an important purpose in democracies and that the critiques of renewable energy development can better inform societal decision-making. Thus, the social acceptance or social gap concept relates closely to social license through a shared emphasis on issues of legitimacy. Despite their very different origins, all three varieties of social license invoke legitimacy. This is perhaps not surprising, since the concept of legitimacy “dates back to the dawn of organization theory” (Deephouse and Suchman 2008: 49; see also Deephouse et al. 2017; Suddaby, Bitektine and Haack 2017). Max Weber (1978) is typically credited with introducing the term into social theory, and for linking legitimacy with conformity to social norms and formal laws. In their classic work, Dowling and distinguished three of organizational and “a purpose not necessarily resource resource necessarily in a society are with societal norms and these are apt to be (a) in the two may take at different (b) are in is a greater of in legal and may activities model many of the three varieties of social license, especially the three strand model and the triangle More recently, these in his is not a to be or but a cultural or with or However, it was Suchman who what has become perhaps the most definition of “a or that the actions of an are or some of and is on an organization when is, internal and external by organizational and support an and and legitimacy have been described as being an active of the and or a passive on from or other opinion with and Haack 2011). or products are most the of legitimacy stakeholders also can be as to whether they have based upon legal legal or in the and benefits by company and Looking these one is by the to which legitimacy has become a and concept the social one that a by diverse stakeholders. the of legitimacy also have been and differentiated legitimacy, or “the of a new from legitimacy, or “the process by which key stakeholders, the general public, key opinion or government officials accept a as and existing norms and this in resulting in three of and with one of his three In a Suchman proposed a of and legitimacy with two vs. and two actions vs. organizational resulting in legitimacy to issues of energy and resource development, and proposed the concept of corporate environmental legitimacy, defined as the or that a firm's corporate environmental performance is or Public administration scholars also have with the concept of legitimacy, in terms of and The emergence of social license a or a from and to a more 2013). this as from of the of policy as as from officials as the this “social which with of “social public administration scholars have observed that that are not in the sense that they are not to of legal review and and a definition of social license to operate by also the role of legitimacy. Notably, and defined social license to operate as a for the legitimacy of a company's specific or an or a or political by to the of all concerned with Looking these what is is the of of legitimacy and social license (see 1). it may be to that social license to operate is more than a new for the concept of legitimacy, are useful social license to operate is used to describe acceptance of a company or project to with its This to be a of a company by its stakeholders. the of legitimacy can be is used to of a it also can be the company's of its stakeholders, or of other (for example, and the pyramid model that social license is in a company acceptance by the then by with stakeholders, and then identification through building research into legitimacy building not a company not have then and then legitimacy with its stakeholders. may be in such a but not necessarily and Haack include of the of the and and and The credibility of (that is, regulators, can to on the of these while or can to the 2011; see also and the three strand and triangle models of social license stakeholders according to their interests in the company or project. acceptance is a function of the company's technologies and policies meeting or regulatory community acceptance on and and market acceptance on new technologies to economic how a company is along the of legitimacy is not necessarily a function of who is the can and a project according to of legitimacy, such understand what the company is they the this project for and they the We to these in our implications to how legitimacy research can SLO in the Canadian such the of stakeholders into and of in terms of shared or in the context of the of the in the social of to with the cultural with “the norms of in the larger social and 1975: that are accepted and a context are then said to be that context of established cultural that for and A of organizational actions as or some of and of an organization by social (Deephouse of the organization by its and social of acceptance, and level of social acceptability upon a set of activities or and degree to which view a company's activities as and because its with industry norms and societal and the approval, the broad acceptance of society to conduct its (Joyce and Thomson 2000: “social support for the project from concerned groups, or stakeholders, over and above meeting any legal requirements” (BSR 2003: The right of and other in and to their and of a project 2003: demands on and for a enterprise that from environmental groups, community and other of the (Gunningham, Kagan and Thornton 2003: idea that must with of regulators, local communities, and the public in to and Coglianese 2008: the local community and other (Thomson and Boutilier 2011: and political approval, widespread and to legal to and to community of social acceptance or a that company or project has a in the and

This paper examines the conditions under which exploration of a new, incompatible technologyis conducive to firm growth in the presence of network externalities. In particular, this study is motivated by the divergent evolutions of the PC and the workstation markets in response to a new technology: reduced instruction set computing (RISC). In the PC market, Intel has developed new microprocessors by maintaining compatibility with the established architecture, whereas it was radically replaced by RISC in the workstation market. History indicates that unlike the PC market, the workstation market consisted of a large number of power users, who are less sensitive to compatibility than ordinary users. Our numerical analysis indicates that the exploration of a new, incompatible technology is more likely to increase the chance of firm growth when there are a substantial number of power users or when a new technology is introduced before an established technology takes off.

In March 2014 a group of early career researchers and academics from São Paulo state and from the UK met at the University of Campinas to participate in a workshop on ‘Responsible Innovation and the Governance of Socially Controversial Technologies’. In this Perspective we describe key reflections and observations from the workshop discussions, paying particular attention to the discourse of responsible innovation from a cross-cultural perspective. We describe a number of important tensions, paradoxes and opportunities that emerged over the three days of the workshop.

The word “smart” has been used in various fields and is widely accepted to mean intelligence. Smart home service, one of the representative emerging technologies in the IoT era, has changed house equipment into being more intelligent, remote controllable, and interconnected. However, the intelligence and controllability of a smart home service are contradictory concepts, under certain aspects. In addition, the level of intelligence or controllability of a smart home service that users want may differ according to the user. As potential users of smart home services have diversified in recent years, providing the appropriate functions and features is critical to the diffusion of the service. Thus, this study examines the smart home service features that current users require and empirically evaluates the relationship between the critical factors and the adoption behavior with 216 samples from Korea. The moderating effect of personal characteristics on behavior is also tested. The results of the analysis provide various theoretical and practical implications.

In the past, researchers in the field of environmental psychology have explained environmental perceptions primarily through socioeconomic and demographic factors. However, knowledge of and support for protecting specific natural features of the landscape should also be influenced by one’s location, setting, and proximity to such features. This article focuses on residents’familiarity with and concern for two creeks passing through San Antonio, TX. Using Geographic Information Systems analytical techniques, we expand on previous studies by introducing driving distance from the creeks to identify the effects of this location-based variable on environmental perceptions. Specifically, we test the degree to which the actual driving distance respondents live from two creeks affects respondents’ knowledge and perceptions of the water bodies. We show that when controlling for socioeconomic and geographic contextual variables, the residential distance variable remains a significant factor in explaining both familiarity with the creeks and views on the level of water pollution in them. Based on the results, we discuss the implications of incorporating proximity factors in watershed planning and policy.

To maximize the utility of research to decisionmaking, especially given limited financial resources, scientists must set priorities for their efforts. We present a list of the top 40 high-priority, multidisciplinary research questions directed toward informing some of the most important current and future decisions about management of species, communities, and ecological processes in the United States. The questions were generated by an open, inclusive process that included personal interviews with decisionmakers, broad solicitation of research needs from scientists and policymakers, and an intensive workshop that included scientifically oriented individuals responsible for managing and developing policy related to natural resources. The process differed from previous efforts to set priorities for conservation research in its focus on the engagement of decisionmakers in addition to researchers. The research priorities emphasized the importance of addressing societal context and exploration of trade-offs among alternative policies and actions, as well as more traditional questions related to ecological processes and functions.