Impacts of Hedonic and Utilitarian User Motives on the Innovativeness of User‐Developed Solutions

When individual consumers develop products for their own use, they in part expect to be rewarded by the use value of what they are creating (utilitarian user motives), and in part expect to be rewarded intrinsically by such things as the fun and learning experience derived from creating it (hedonic user motives). This paper shows a first‐of‐type study to understand the relationship between individual consumers' motives to innovate and the novelty and utility of the solutions they develop. The theoretical framework integrates self‐determination theory and goal‐setting theory. The major findings of this study are that utilitarian user motives positively affect the utility of user‐developed innovations. In contrast, hedonic user motives drive solution novelty; the more an innovator is “in it for fun,” the more novel the solution developed. However, hedonic user motives also have an inverted U‐shaped relationship with solution utility. When the dominant motive for developing an innovation is the joy of the creative process rather than use value, the utility of what is developed is negatively affected. These findings are of research interest, and can be of significant practical interest to producers hoping to benefit from user‐developed innovations. For the first time, it has been possible to show that the adjustment of hedonic rewards, for example by means such as gamification, can affect the nature and utility of solutions individuals create.     

The system-wide impact of healthy eating: Assessing emissions and economic impacts at the regional level

Encouraging consumers to shift their diets towards a lower meat/lower calorie alternative has been the focus of food and health policies across the world. The economic impacts of such changes on regions have been less widely examined, but are likely to be significant, especially where agricultural and food production activities are important for the region. In this study we use a multi-sectoral modelling framework to examine the environmental and economic impacts of such a dietary change, and illustrate this using a detailed model for Scotland. We find that if household food and drink consumption follows healthy eating guidelines, it would reduce both Scotland’s “footprint” and “territorial” emissions, and yet may be associated with positive economic impacts, generating a “double dividend” for both the environment and the economy. The economic impact however depends critically upon how households use the income previously spent on higher meat/higher calorie diets. Furthermore, the likely (but not modelled) benefits to health suggest the potential for a “triple dividend”.     

土地制度与中国发展模式

土地在中国经济奇迹创造中扮演的重要角色越来越引起高度关注,但是,现有基于政府特殊性的研究忽视了土地的重要性,影响了对中国发展模式的理解和解释力。本文刻画了政府通过独特土地制度安排主导发展权的"以地谋发展"模式的特征和典型化事实,构建了土地作用于结构转变和经济增长的机制,通过建立一个纳入土地要素的经济增长计量模型,利用全国地级市样本数据检验了土地经由工业化和城市化的结构转变和通过资本形成对经济增长的影响,分析了结构转变不同阶段的土地制度安排及其变迁影响工业化和城市化的程度和方式。需要说明的是,本文研究旨在描述和解释中国改革时期形成的推动快速结构转变和高增长的"以地谋发展"的事实和逻辑,随着经济发展阶段转换和内外环境变化,土地的功能和"以地谋发展"模式的风险和问题凸显,需要进行进一步的变革。     

Perspectives on regional innovation policy – From new economic geography towards the IMP approach

The European Union has the aim of becoming the world's most competitive and knowledge-based economy, which entails investments in industry agglomeration. However, these investments have had limited impact. This conceptual paper problematizes the new economic geography terminology used in policy and, more specifically, the way that the key concepts of “industry agglomeration,” “social capital,” “knowledge,” and “innovation” are conceptualized. By adding the perspective of the industrial network or industrial marketing and purchasing (IMP) approach, this paper contributes to a more nuanced understanding of how to facilitate innovation within regional policy. Since the IMP approach offers an organizational-level perspective, including such a perspective will help make the EU's policies more practically applicable. We propose that regional policy should pay more attention to the socio-material resource interaction between the actors involved in the cluster initiatives. This would shift the focus away from creating spillover effects of knowledge towards viewing knowledge as a performative construct that is inseparable from the specific resource interaction in which it is embedded. Also, the definition of innovation within policy could benefit from being reconceptualized as the processual use within producer–user relationships.     

An empirical analysis of competitive nonlinear pricing

We estimate a model of competitive nonlinear pricing with multidimensional preference heterogeneity using individual level data on advertisements bought by local businesses (e.g., doctors, electricians) from two Yellow Page Directories in one U.S. city-market. Variation in individual choices and payments allows us to identify the joint density of preferences, marginal costs of publishing and common utility parameters. Our estimates suggest substantial welfare loss due to asymmetric information. Comparing duopoly outcomes with (counterfactual) monopoly outcomes, we find that with less competition (i) producer surplus increases substantially; (ii) more “low-type” consumers are excluded; (iii) product variety increases, but benefits accrue only to the “high-type” consumers; (iv) total consumer surplus decreases; (v) but its distribution, across consumers, does not change.     

Managing a Portfolio of Interdependent New Product Candidates in the Pharmaceutical Industry

Highly regulated industries such as pharmaceuticals and agrochemicals face the challenge of maintaining a 0continuous stream of new products. This is difficult because of low probabilities of technical success, high development costs, uncertain market impact, a scarcity of good new product ideas, and limited human and capital resources available to develop them. The problem of evaluating and selecting which new products to develop and then of sequencing or of scheduling them is complicated further by the presence of dependencies between products both in the market place and in the development process itself. This study proposes a portfolio management approach that selects a sequence of projects, which maximizes the expected economic returns at an acceptable level of risk for a given level of resources in a new product development pipeline. A probabilistic network model of distinct activities is used to capture all the activities and resources required in the “process” of developing a new drug. A prioritization scheme suggesting sequences for developing new independent drug candidates with unlimited resources is generated with a conventional bubble chart approach. These sequences initiate a genetic algorithm (GA)‐based search for the optimal sequence in the presence of product dependencies and limited resources. By statistically evaluating the sequences generated during the GA search using a discrete event simulation model, it is possible to construct an economic reward‐risk frontier that illustrates the trade‐offs between expected rewards and risks. The model ideally is suited to answer various “what if” questions relative to changes in the resource level on pipeline performance. The methodology is illustrated with an industrially motivated case study, involving nine interdependent new product candidates targeting three diseases. The dramatic results yield a candidate sequence with an expected return 28 percent higher than the sequence suggested by the bubble chart approach at almost the same level of risk. The synergism among the candidate dependencies, pipeline resources, and economic and technical uncertainties demonstrates the necessity of a computationally intensive approach if the best development strategy is to be realized.     

How many patents does it take to signal innovation quality?

In this paper, we offer a novel explanation to the surge in patenting observed during the last few years. When PTOs (Patent and Trademark Offices) award bad patents, not only do “false innovators” have the incentive to file applications but also, and more interestingly, “true innovators” are forced to patent more intensively in an attempt to signal their type. However, if they are liquidity constrained, true innovators may fail to separate and this fact reduces the incentives to exert effort in R&D. In addition, drawing on the signaling role of patents highlighted by the model, we investigate some of the proposals that have been put forward in order to mitigate the bad patent problem. We provide an intuitive condition under which a tightening of the patentability standards (“raising the bar”) reduces the distortions caused by bad patents. Moreover, we show that introducing a two-tiered patent system is unlikely to improve market outcomes.     

The Internal Rate of Return Approach and the AIRR Paradigm: A Refutation and a Corroboration

This article shows that the internal rate of return (IRR) approach is unreliable and that the recently introduced average internal rate of return (AIRR) model constitutes the basis for an alternative theoretical paradigm of rate of return. To this end, we divide the paper into two parts: a pars destruens and a pars construens. In the “destructive” part, we present a compendium of 18 flaws associated with the IRR approach. In the “constructive” part, we construct the alternative approach from four (independent) economic intuitions and put the paradigm to the test by showing that it does not suffer from any of the flaws previously investigated. We also show how the IRR, as a rate of return, is absorbed into the new approach.     

Comments on the Model Testing by Goodwin and Meeran (2012): Comparison of the Utility‐based and the Gompertz Curve Approach for High‐technology Product Sales Forecasting

Starting from a comprehensive examination of recent empirical studies focusing on consumer behavior in high‐technology markets and the resulting identification of factors probably affecting individual buying decisions as well as aggregate product sales, Decker and Gnibba‐Yukawa developed and empirically verified a utility‐based sales forecasting approach in their earlier work. Based on data for 14 consumer electronic products and using the Gompertz curve as a benchmark, Goodwin and Meeran carried out a “more extensive testing” of this proposal. However, at least from a practical point of view, the plausibility of their testing framework regarding the market potential m is not unquestionable. This paper, therefore, first discusses some theoretical aspects of both approaches by addressing issues challenged by Goodwin and Meeran, especially regarding the use of short time series and the consideration of replacement purchases. Then, the quasi‐endogenous estimation method for m favored by Goodwin and Meeran for the Gompertz curve is examined in terms of sensitivity to better understand its influence on sales forecasts, and the adequacy of the suggested range for m in the case of the approach by Decker and Gnibba‐Yukawa is investigated. In addition, the results presented in Goodwin and Meeran are considered from a more distant perspective, and possible causes of the variations in forecasting accuracy are discussed, which finally reveals that the forecasting performance of the utility‐based approach is not that “disappointing” as claimed. It provides more accurate (or at least equivalent) forecasts than the Gompertz curve approach in 64% of the cases considered. Furthermore, if product 14 (portable MP3 players) is excluded from the analysis because of the nonconsideration of probably existing product improvement effects, then the utility‐based approach, on average, outperforms the benchmark in all forecasting years. Altogether, this suggests that the approach by Decker and Gnibba‐Yukawa could achieve more accurate forecasts when applying a more reasonable range for m, rather than varying it between 2 and 15 times the cumulative sales by the end of year 7 as proposed by Goodwin and Meeran. It turns out that the Gompertz curve approach can perform on a par with the utility‐based approach in high‐technology product sales forecasting based on short time series if the market potential m is estimated exogenously. A combination of the outcomes of both approaches can even lead to more accurate forecasts as when being used individually insofar as composite forecasting seems to be a practicable approach to the problem of shorter time series compelled by the accelerated diffusion speed in high‐technology markets, rather than relying on one presumably “best” model.     

Free speech and the challenge of efficiency

Radical transformation has come to speech platforms in the Information Society 2.0, typified by the migration from newspapers to social media. The change has been spurred by disruptive efficiencies in digital platforms. First, information distribution has been altered by near-costless electronic reproduction. Second, traditional bundles -- packaging editorial content of publications or broadcast networks with general-interest advertising messages -- have been eclipsed by competitively superior news aggregation hubs. Third, specialized content, including advertising, has become more easily targeted and better supplied via “long tails.” Fourth, the democratization of “publishing” has transformed “editing” into “platform mediation.” The resulting changes in market organization have made vastly higher volumes of news and public affairs information – from exponentially more sources – easily available to mass market consumers. In so doing, they have rendered the “Walter Cronkite” consensus obsolete, creating social controversy and considerable backlash. Demands to regulate, or re-regulate, are frequently voiced across the political spectrum. Such policies as “public interest” licensing, public utility regulation, and the Fairness Doctrine are here evaluated.     

Grosse Stadtwerke – theoretische und empirische Exploration eines besonderen Akteurs in der Energiewende Deutschlands und der Schweiz

Urban utility companies are key players in the Swiss and German energy sector. Due to the federalist and subsidiary governance structure of the two countries’ energy sector, they perform highly system relevant tasks, as e.?g. managing the distribution grids or ensuring the public services for “their city”. In the public and scientific discourse on the role of different actor groups in the energy transition, however, not much attention is paid to urban utility companies. This contribution aims at a theoretical and empirical exploration of these particular actors by analysing their characteristics, specific challenges and strategic answers in the context of the energy transition. For this purpose, the article derives analytical dimensions for the analysis of urban utility companies from scholarly literature on transition studies, network industries and public corporate governance and empirically analyses characteristics and the current situation of urban utility companies in Germany and Switzerland. Methodologically, this article is based on an explorative, qualitative study, which synthesises results from a literature analysis, a document analysis, 38 expert interviews in both countries (in 2017) and two expert workshops conducted in Switzerland (in 2018). The study shows, how the characteristics of urban utility companies can be explained based on public corporate governance and network industries literature. This also allows to identify and understand their particular challenges, as e.?g. the fields of tension among public and private interest in the firms and the multi-dimensional relationship of owner or the particularities of network industries. Finally, this article points out, that the role of urban utility companies in the Swiss and German energy transition is neither just “inhibitor” nor pure “innovator”, but can be labelled as “intelligent follower” and “engineer of the energy transition”.     

国际油价冲击与中国的经济增长——基于非对称关系视角的分析

本文基于季度数据，引入非对称协整模型，考察国际油价与中国经济增长的动态关系，并鉴于油价波动对不发达经济体可能的冲击，还测度了油价的不确定性并探析其对经济增长的影响，结果表明：（1）从短期来看，国际油价变化是国内经济增长的单向Granger原因，“中国因素”对全球油价变化的影响尚不明显；（2）从长期来看，国际油价和经济增长具有非对称协整关系，油价上涨对经济的影响明显大于油价下跌所产生的效应；（3）国际石油市场存在正反馈交易行为，导致油价波动在油价上涨时表现更加明显。油价不确定性在短期内对经济增长存在负面影响，长期中则不会显著影响经济增长。以上结果意味着必须高度重视石油安全问题，加强油价波动预警与风险管理系统。     

What pupils can learn from working with robotic direct manipulation environments

This study investigates what pupils aged 10–12 can learn from working with robots, assuming that understanding robotics is a sign of technological literacy. We conducted cognitive and conceptual analysis to develop a frame of reference for determining pupils’ understanding of robotics. Four perspectives were distinguished with increasing sophistication; “psychological”, “technological”, “function”, and “controlled system”. Using Lego® Mindstorms® NXT robots, as an example of a Direct Manipulation Environment, we developed and conducted a lesson plan to investigate pupils’ reasoning patterns. There is ample evidence that pupils have little difficulty in understanding that robots are man-made technological and functional artifacts. Pupils’ understanding of the controlled system concept, more specifically the complex sense-reason-act loop that is characteristic of robotics, can be fostered by means of problem solving tasks. The results are discussed with respect to pupils’ developing technological literacy and the possibilities for teaching and learning in primary education.     

Estimating the Effect of Crime Risk on Property Values and Time on Market: Evidence from Megan's Law in Virginia

We examine neighborhood externalities that arise from the perceived risk associated with the proximity of a registered sex offender's residence. We find large negative externality effects on a property's price and liquidity, employing empirical techniques that include a fixed‐effects OLS model, a correction for sample selection bias and censoring using a Heckman treatment, and a three‐stage least‐squares model to account for simultaneity bias in the joint determination of a home's sale price and liquidity. Additionally, we find amplified effects for homes with more bedrooms (a proxy for children) and if the nearby offender is designated by the state as “violent.”     

Wie viel Europa braucht die Energiewende?

It is often argued that Germany’s energy transition (the so-called “Energiewende”) needs to be “Europeanized”, so as to make the transition process more efficient. In particular, the German system of feed-in tariffs for renewables is criticized for being an obstacle to efficient European energy supply. However, we point out that Germany’s approach is no outlier but rather well embedded in the European context of heterogeneous energy policies. Also, full centralization and harmonization of political decisions on the EU-level may not be desirable in many fields of energy policy beyond climate protection if the full economic costs of energy supply are taken into account. In addition, legal and politico-economic constraints need to be considered. Against this background, we identify priorities for fostering the European dimension of the Member States’ energy policies, such as the coordination of grid extensions and capacity markets.     

“Data localization”: The internet in the balance

There is a steady global trend towards “Data Localization,” laws by which data is required to be maintained and processed within the geographic boundaries of its state of origin. This development has raised concerns about its possible adverse impacts on emerging data-intensive technologies such as Cloud services/E-commerce, Big Data, Artificial Intelligence and the Internet of Things (collectively, the Embedded Infosphere). The inability to reach an international agreement on rules for cross-border data flows may have significant adverse consequences for all future users of the Internet.The basis of Data Localization is grounded in two distinct but inter-related policy models: Data Sovereignty and Trans-Border Data Flows. These two concepts have different origins. “Data Sovereignty” is derived from the historic power of a state of absolute and exclusive control within its geographic borders. Policies behind TBDFs arose in Europe following World War II, primarily motivated by Nazi use of early proto-computers to help round up Jews and others. As they have evolved, TBDF policies have been directed primarily at protecting personal data and privacy.This article first examines the issues of: 1) “Information Sovereignty” and 2) TBDFs. It then describes the arguments for and against “Data Localization,” offers some examples of strong localization policies (Russia, China), and summarizes contesting policy proposals. It then contextualizes TBDF with issues of human rights (free flow of information) and privacy.While the utility of an international agreement on TBDFs is clear, the differences in approaches are tenacious. For the free-market developed world (e.g, EU, OECD), the path forward seems to lead through policy convergence to compatible rules, with differentiated levels of data protection and accountability. It is far from clear whether these rules will address, in a mandatory way, issues of the “free flow” of information in the human rights sense. At the same time, there are countries (e.g., BRICS), representing a majority of the world's population, in which political and cultural resistance will produce stringent Cyber Sovereignty and Data Localization policies with few if any human rights components.The article concludes that the more the Internet is “localized”, the more attenuated its benefits will become. The negative consequences of Data Localization will become increasingly obvious as new, data-intensive technologies become ubiquitous, creating a condition of “Data Dependence”. It is projected that in the future the nations with the least amount of Data Localization and the most open flow of information will be the most successful in benefiting from new data-intensive embedded, networked technologies. This will most likely be characterized by values adopted as policies and practices in the EU.     

Spatial Linkages in Returns and Volatilities among U.S. Regional Housing Markets

This article investigates spatial linkages in returns, idiosyncratic risks and volatilities across 19 U.S. regional housing markets. Using Case & Shiller housing price indices from 1995 through 2009, we find that interconnections across markets can be “wider” and “stronger” than would normally be expected. They are “wider” because, in addition to geographic closeness, economic proximity is also an important source of influence; they are “stronger” because of the significant contagion effects during the 2007–2009 subprime and financial crises. The increased comovement and interdependence, especially among more geographically diverse regions with similar economic conditions, may help explain the failure of geographic portfolio diversification strategies.     

Divergent thinking and market visioning competence: An early front-end radical innovation success typology

Achieving superior and longer-term rewards associated with the pursuit of radical innovation requires that firms have a market vision (MV), or a clear and specific image of a desired and important product-market for a new technology, and are able to attract human and investment capital (AAC) in order to carry out and finance these risky ventures. To achieve these outcomes, firms need to build a market visioning competence (MVC)—that is, an ability to link advanced technologies to market opportunities of the future. Developing an MVC entails the efforts of both the individuals who are part of the innovation process and the organization itself. Four components comprise the MVC equation: the individual-level capabilities of “networking” and “idea-driving,” and the organization-level capabilities of “market learning tools” and “proactive market orientation.” In this article, we focus on the conditions within the firm that need to be created and fostered to ensure an effective MVC. The antecedents of interest involve the capacity for divergent thinking—that is, the ability to go beyond the boundaries of established thought—and include four individual- and two organization-level constructs. Individual divergent thinking skills include (1) attitude of openness to new ideas; (2) ability to create, combine and help others to generate new ideas; (3) ability to move efficiently from divergent to convergent thinking; and (4) a passion for cognitive challenges. Two organization-level antecedents include: an innovation culture of (5) encouragement of idea freedom and (6) encouragement of diversity. Based on a survey of 198 high-tech firms in the North American nanotechnology sector, cluster analysis was used to develop a typology of scenarios that provides a holistic view of what distinguishes firms in terms of MVC, their ability to create and manage individual- and organization-level divergent thinking approaches, as well as the outcomes of MV and AAC. Three distinct profiles emerge. The “balanced MVC profile” rates high on all factors—components, antecedents and outcomes—and provides a “model” for managers concerned with developing an effective MVC. Cluster #2, labeled “need MVC system/culture,” while having the most important element in place—the individuals who think in dynamic ways and connect firms with totally new opportunities—require both market learning systems and a more proactive market orientation, and in particular, an organization culture where management encourages divergent thinking. Cluster #3 (“lack MVC basics”) firms have invested in MVC-related infrastructure, but this provides an anemic context when the key elements of individual innovativeness in terms of the ability to think in radically new ways and an organization culture that encourages this are lacking. Based on the MVC concepts, relationships discussed and the empirical evidence, this article offers insights for researchers in terms of theory and scale development, and for managers charged with radical innovation in terms of the actions needed to enhance MVC and, ultimately, NPD performance.     

A Model of Time‐on‐Market and Real Estate Price Under Sequential Search with Recall

This article develops a model and provides a closed‐form formula to uncover the theoretical relationship between real estate price and time on market (TOM). Our model shows a nonlinear positive price‐TOM relationship, and it identifies three economic factors that affect the impact of TOM on sale price. We demonstrate that conventional metrics for real estate return and risk, which are borrowed in a naïve fashion from finance theory, do not account for marketing period risk and tend to overestimate real estate returns and underestimate real estate risks. Our model provides a simple way to correct such bias. This theory helps to explain the apparent “risk‐premium puzzle” in real estate.     

Decreasing Utility for Money and Optimal Corporate Debt Ratio

Increasing the ratio of debt capital to total capital increases leverage or sensitivity of equity earnings per share to changes in pretax earnings on composite capital. If (1) total capital needs, and (2) probabilistic pretax earnings on composite capital are held fixed while the debt ratio is increased, the result is an increased variability of after tax earnings per dollar of equity capital. With the “price” (variability) growing with still further increases in debt ratio, “nonuniform utility of money” concepts are helpful in revealing this growing variability as an “investor barrier” to still greater debt ratios.