Managing Co‐creation Design: A Strategic Approach to Innovation

Co‐creation offers firms and their network of actors significant opportunities for innovation, as each actor offers access to new resources through a process of resource integration. However, despite the significant advantages that co‐creation can offer, there is surprisingly little research providing a strategic approach for identifying the most advantageous co‐creation opportunities, especially when many possible options are available. Recently, scholars have called for research that develops tools and processes related to co‐creation. This study addresses these priorities, making two contributions. First, in contrast to previous work considering co‐creation more generally, or focusing on one specific form only, e.g. co‐production, this paper offers a detailed and granular approach to co‐creation design. A co‐creation design framework is developed, which incorporates multiple design dimensions and categories that can reveal new co‐creation opportunities. Second, the research extends the application of a design approach, specifically within the context of co‐creative activities. The authors use field‐based research with senior executives to develop a framework that includes key co‐creation design elements. A morphological approach is used to explore how a lead firm can identify attractive co‐creation opportunities. An innovation solution in one organization provides an illustration of how the co‐creation design framework can be applied.     

The Mutable Nature of Risk and Acceptability: A Hybrid Risk Governance Framework

This article focuses on the fluid nature of risk problems and the challenges it presents to establishing acceptability in risk governance. It introduces an actor‐network theory (ANT) perspective as a way to deal with the mutable nature of risk controversies and the configuration of stakeholders. To translate this into a practicable framework, the article proposes a hybrid risk governance framework that combines ANT with integrative risk governance, deliberative democracy, and responsive regulation. This addresses a number of the limitations in existing risk governance models, including: (1) the lack of more substantive public participation throughout the lifecycle of a project; (2) hijacking of deliberative forums by particular groups; and (3) the treatment of risk problems and their associated stakeholders as immutable entities. The framework constitutes a five‐stage process of co‐selection, co‐design, co‐planning, and co‐regulation to facilitate the co‐production of collective interests and knowledge, build capacities, and strengthen accountability in the process. The aims of this article are twofold: conceptually, it introduces a framework of risk governance that accounts for the mutable nature of risk problems and configuration of stakeholders. In practice, this article offers risk managers and practitioners of risk governance a set of procedures with which to operationalize this conceptual approach to risk and stakeholder engagement.     

Strategic Renewal: Past Research,Theoretical Tensions and Future Challenges

Strategic renewal has become a prominent theme in a variety of organization and management research domains in recent years. It refers to the process that allows organizations to alter their path dependence by transforming their strategic intent and capabilities. With contributions from an increasing range of theoretical perspectives and research contexts, the strategic renewal literature has become fragmented and lacks common definitions and conceptual clarity, which prevent cross‐fertilization and harm further development. This study systematically reviews the various literature streams on strategic renewal to provide a more integrative perspective. The authors identify three key theoretical tensions at the heart of strategic renewal research, namely learning vs. resource, induced vs. autonomous, and co‐alignment vs. co‐creation. By exploring these key tensions, the authors define strategic renewal's conceptual core, identify gaps in the past literature, and provide guidance for future research.     

Security of Separated Data in Cloud Systems with Competing Attack Detection and Data Theft Processes

Empowered by virtualization technology, service requests from cloud users can be honored through creating and running virtual machines. Virtual machines established for different users may be allocated to the same physical server, making the cloud vulnerable to co‐residence attacks where a malicious attacker can steal a user's data through co‐residing their virtual machines on the same server. For protecting data against the theft, the data partition technique is applied to divide the user's data into multiple blocks with each being handled by a separate virtual machine. Moreover, early warning agents (EWAs) are deployed to possibly detect and prevent co‐residence attacks at a nascent stage. This article models and analyzes the attack success probability (complement of data security) in cloud systems subject to competing attack detection process (by EWAs) and data theft process (by co‐residence attackers). Based on the suggested probabilistic model, the optimal data partition and protection policy is determined with the objective of minimizing the user's cost subject to providing a desired level of data security. Examples are presented to illustrate effects of different model parameters (attack rate, number of cloud servers, number of data blocks, attack detection time, and data theft time distribution parameters) on the attack success probability and optimization solutions.     

Multi‐Leader Teams in Review: A Contingent‐Configuration Perspective of Effectiveness

Multi‐leader teams are characterized by multiple leaders exhibiting mutual influence on each other while working towards a common team goal. An unexplored assumption in this literature is that increasing the number of leaders is related to heightened team effectiveness. The authors propose that this notion is oversimplified and suggest a contingency model of multi‐leader team effectiveness. The authors suggest that the context determines the effectiveness of a particular multi‐leader team configuration, because each formation has unique internal team mechanisms. To investigate this perspective, we review the multi‐leader team literature (175 articles) by categorizing the extant theory and research as falling within nine multi‐leader configurations along two key dimensions: (1) the proportion of leaders within a team; and (2) the dispersion of leadership through role co‐enactment of team leaders. This framework enables a more coherent understanding as to the benefits and the costs of each specific multi‐leader team configuration and a clearer evaluation of the contexts in which varying configurations are most effective. Four emerging themes related to configuration–contextualization are explained and theoretical implications for interpreting leadership effectiveness in multi‐leader team settings are discussed.     

Editorial: The Future of Writing and Reviewing for IJMR

In this editorial, the co‐editors‐in‐chief undertake a number of tasks related to International Journal of Management Reviews (IJMR). They begin by reviewing the objectives set out by Macpherson and Jones in their 2010 editorial (IJMR, 12, pp. 107–113). The benefits of publishing in IJMR for scholars at various stages of their careers are then discussed. The section outlining the progress of IJMR over the last four years sets out the main reasons why so many papers are desk rejected by the co‐editors. The main criteria for writing an analytical literature review of the type that the editors aspire to publish in the Journal are then discussed. The objectives are not simply to reduce the number of desk rejects, but also to encourage authors to be more ambitious and innovative in their approaches to reviews of the literature.     

Transparency in Europe: A Quantitative Study

In recent years, European pharmaceutical regulators have increasingly committed to heightening access to raw safety‐related data as part of a wave of transparency initiatives (e.g., providing public Internet‐mediated access to clinical trials data). Yet, the regulators—who are under significant pressure—have not yet benefited from a systematic review of this new policy. In seeking to inject much needed evidence, this article explores the effects of new transparency policies designed to promote meaningful communication of risks and benefits to patients. Results of a cross‐national European survey with respondents from Great Britain, the Netherlands, Spain, France, Germany, and Sweden (N = 5,648) shed light on how patients and the public are likely to react to the regulators’ new transparency policies. The findings demonstrate clear national variations in how European citizens are likely to react and emphasize the need to develop evidence‐based, reasoned transparency policies that integrate benefit‐risk communication. The authors conclude by providing six specific recommendations, informed by the study, that seek to improve the European transparency model both within the medical field and across health, safety, and environmental policy domains.     

An Analysis of Manufacturer‐Retailer Supply Chain Coordination in Cooperative Advertising*

In the literature of cooperative (co‐op) advertising, the focus of the research is on a relationship in which a manufacturer is the leader and retailers are followers. This relationship implies the dominance of the manufacturer over retailers. Recent market trends have shown a shift in power from manufacturers to retailers. Retailers, as a result, may now possess equal or even greater power than a manufacturer in some instances when it comes to retailing. Based on this new market phenomenon, we intend to explore the role of co‐op advertising in a manufacturer‐retailer supply chain through brand name investments, local advertising expenditures, and sharing rules of advertising expenses. Two co‐op advertising models are developed and compared. The first co‐op advertising model is based on the traditional leader‐follower relationship of a manufacturer and a retailer. The second model incorporates partnership into co‐op advertising coordination. Business examples and managerial implications of the models have been discussed. A cooperative bargaining technique is utilized to implement the partnership co‐op advertising model.     

Using Probabilistic Terrorism Risk Modeling for Regulatory Benefit-Cost Analysis: Application to the Western Hemisphere Travel Initiative in the Land Environment

This article presents a framework for using probabilistic terrorism risk modeling in regulatory analysis. We demonstrate the framework with an example application involving a regulation under consideration, the Western Hemisphere Travel Initiative for the Land Environment, (WHTI‐L). First, we estimate annualized loss from terrorist attacks with the Risk Management Solutions (RMS) Probabilistic Terrorism Model. We then estimate the critical risk reduction, which is the risk‐reducing effectiveness of WHTI‐L needed for its benefit, in terms of reduced terrorism loss in the United States, to exceed its cost. Our analysis indicates that the critical risk reduction depends strongly not only on uncertainties in the terrorism risk level, but also on uncertainty in the cost of regulation and how casualties are monetized. For a terrorism risk level based on the RMS standard risk estimate, the baseline regulatory cost estimate for WHTI‐L, and a range of casualty cost estimates based on the willingness‐to‐pay approach, our estimate for the expected annualized loss from terrorism ranges from $2.7 billion to $5.2 billion. For this range in annualized loss, the critical risk reduction for WHTI‐L ranges from 7% to 13%. Basing results on a lower risk level that results in halving the annualized terrorism loss would double the critical risk reduction (14–26%), and basing the results on a higher risk level that results in a doubling of the annualized terrorism loss would cut the critical risk reduction in half (3.5–6.6%). Ideally, decisions about terrorism security regulations and policies would be informed by true benefit‐cost analyses in which the estimated benefits are compared to costs. Such analyses for terrorism security efforts face substantial impediments stemming from the great uncertainty in the terrorist threat and the very low recurrence interval for large attacks. Several approaches can be used to estimate how a terrorism security program or regulation reduces the distribution of risks it is intended to manage. But, continued research to develop additional tools and data is necessary to support application of these approaches. These include refinement of models and simulations, engagement of subject matter experts, implementation of program evaluation, and estimating the costs of casualties from terrorism events.     

A Multicriteria Decision Analysis Model and Risk Assessment Framework for Carbon Capture and Storage

Multicriteria decision analysis (MCDA) has been applied to various energy problems to incorporate a variety of qualitative and quantitative criteria, usually spanning environmental, social, engineering, and economic fields. MCDA and associated methods such as life‐cycle assessments and cost‐benefit analysis can also include risk analysis to address uncertainties in criteria estimates. One technology now being assessed to help mitigate climate change is carbon capture and storage (CCS). CCS is a new process that captures CO₂ emissions from fossil‐fueled power plants and injects them into geological reservoirs for storage. It presents a unique challenge to decisionmakers (DMs) due to its technical complexity, range of environmental, social, and economic impacts, variety of stakeholders, and long time spans. The authors have developed a risk assessment model using a MCDA approach for CCS decisions such as selecting between CO₂ storage locations and choosing among different mitigation actions for reducing risks. The model includes uncertainty measures for several factors, utility curve representations of all variables, Monte Carlo simulation, and sensitivity analysis. This article uses a CCS scenario example to demonstrate the development and application of the model based on data derived from published articles and publicly available sources. The model allows high‐level DMs to better understand project risks and the tradeoffs inherent in modern, complex energy decisions.     

Opt‐Out Options in New Product Co‐development Partnerships

We study three contractual arrangements—co‐development, licensing, and co‐development with opt‐out options—for the joint development of new products between a small and financially constrained innovator firm and a large technology company, as in the case of a biotech innovator and a major pharma company. We formulate our arguments in the context of a two‐stage model, characterized by technical risk and stochastically changing cost and revenue projections. The model captures the main disadvantages of traditional co‐development and licensing arrangements: in co‐development the small firm runs a risk of running out of capital as future costs rise, while licensing for milestone and royalty (M&R) payments, which eliminates the latter risk, introduces inefficiency, as profitable projects might be abandoned. Counter to intuition we show that the biotech's payoff in a licensing contract is not monotonically increasing in the M&R terms. We also show that an option clause in a co‐development contract that gives the small firm the right but not the obligation to opt out of co‐development and into a pre‐agreed licensing arrangement avoids the problems associated with fully committed co‐development or licensing: the probability that the small firm will run out of capital is greatly reduced or completely eliminated and profitable projects are never abandoned.     

Formation and Constitution of Effectual Networks: A Systematic Review and Synthesis

The co‐creational processes of effectuation represent an important development in understanding of entrepreneurial action. They also manifest in networks that are themselves important artefactual outcomes of effectual processes. To synthesize research connecting effectuation to the networks involved, this paper offers a systematic literature review. Following recent theorizing, the authors organize the literature around two general themes: (1) why and how network development occurs; and (2) what network develops. The resultant thematic model offers a comprehensive perspective on network development under effectuation logic. The analysis identifies that understanding of effectual networking and effectual networks is fragmented, incomplete and constrained by a lack of construct and contextual clarity. The authors present alternative perspectives on constructs and assumptions surrounding networks in effectuation, integrate network theory into effectuation, and generate important trajectories for future research.     

Biogeographical Analysis of Chemical Co‐Occurrence Data to Identify Priorities for Mixtures Research

A challenge with multiple chemical risk assessment is the need to consider the joint behavior of chemicals in mixtures. To address this need, pharmacologists and toxicologists have developed methods over the years to evaluate and test chemical interaction. In practice, however, testing of chemical interaction more often comprises ad hoc binary combinations and rarely examines higher order combinations. One explanation for this practice is the belief that there are simply too many possible combinations of chemicals to consider. Indeed, under stochastic conditions the possible number of chemical combinations scales geometrically as the pool of chemicals increases. However, the occurrence of chemicals in the environment is determined by factors, economic in part, which favor some chemicals over others. We investigate methods from the field of biogeography, originally developed to study avian species co‐occurrence patterns, and adapt these approaches to examine chemical co‐occurrence. These methods were applied to a national survey of pesticide residues in 168 child care centers from across the country. Our findings show that pesticide co‐occurrence in the child care center was not random but highly structured, leading to the co‐occurrence of specific pesticide combinations. Thus, ecological studies of species co‐occurrence parallel the issue of chemical co‐occurrence at specific locations. Both are driven by processes that introduce structure in the pattern of co‐occurrence. We conclude that the biogeographical tools used to determine when this structure occurs in ecological studies are relevant to evaluations of pesticide mixtures for exposure and risk assessment.     

Emergence of Industries: A Review and Future Directions

This paper reviews the literature on the emergence of industries and the theoretical and methodological approaches employed. The analysis reveals that industry emergence can be depicted as a three‐stage process. In the first, initial stage, a disruption to the existing industrial order triggers the second, the co‐evolutionary stage, which includes four sub‐processes related to developments in technology, markets, activity networks and industry identity. The convergence of these sub‐processes leads to the third stage, a growth stage and the birth of a new industry. While these three stages and the four sub‐processes are well covered in the literature, the authors find that there is a lack of understanding in terms of the transitions between the stages, the interactions and interdependencies between sub‐processes and moderating factors of industry emergence. Future research can bridge these gaps by exploring the different origins and initial conditions of industries, the processes and interactions in the earliest stages of industry emergence, and the role of facilitating and managing industry emergence. This implies a shift in the research focus from the industries that have emerged to the nascent processes of emergence.     

The More Who Die,the Less We Care: Evidence from Natural Language Analysis of Online News Articles and Social Media Posts

Considerable amount of laboratory and survey‐based research finds that people show disproportional compassionate and affective response to the scope of human mortality risk. According to research on “psychic numbing,” it is often the case that the more who die, the less we care. In the present article, we examine the extent of this phenomenon in verbal behavior, using large corpora of natural language to quantify the affective reactions to loss of life. We analyze valence, arousal, and specific emotional content of over 100,000 mentions of death in news articles and social media posts, and find that language shows an increase in valence (i.e., decreased negative affect) and a decrease in arousal when describing mortality of larger numbers of people. These patterns are most clearly reflected in specific emotions of joy and (in a reverse fashion) of fear and anger. Our results showcase a novel methodology for studying affective decision making, and highlight the robustness and real‐world relevance of psychic numbing. They also offer new insights regarding the psychological underpinnings of psychic numbing, as well as possible interventions for reducing psychic numbing and overcoming social and psychological barriers to action in the face of the world's most serious threats.     

Decision Making for Group Risk Reduction: Dealing with Epistemic Uncertainty

Group risk is usually represented by FN curves showing the frequency of different accident sizes for a given activity. Many governments regulate group risk through FN criterion lines, which define the tolerable location of an FN curve. However, to compare different risk reduction alternatives, one must be able to rank FN curves. The two main problems in doing this are that the FN curve contains multiple frequencies, and that there are usually large epistemic uncertainties about the curve. Since the mid 1970s, a number of authors have used the concept of “disutility” to summarize FN curves in which a family of disutility functions was defined with a single parameter controlling the degree of “risk aversion.” Here, we show it to be risk neutral, disaster averse, and insensitive to epistemic uncertainty on accident frequencies. A new approach is outlined that has a number of attractive properties. The formulation allows us to distinguish between risk aversion and disaster aversion, two concepts that have been confused in the literature until now. A two‐parameter family of disutilities generalizing the previous approach is defined, where one parameter controls risk aversion and the other disaster aversion. The family is sensitive to epistemic uncertainties. Such disutilities may, for example, be used to compare the impact of system design changes on group risks, or might form the basis for valuing reductions in group risk in a cost‐benefit analysis.     

Interpersonal Emotion Regulation in the Workplace: A Conceptual and Operational Review and Future Research Agenda

Employees need to regulate their own emotions as well as the emotions of others to enhance the quality of interactions with their colleagues. How well this is achieved has important outcomes for both employees and the organizations in which they work. In the field of organizational science, however, differing approaches have emerged regarding the conceptualization and operationalization of emotion regulation (ER) particularly in terms of interpersonal interactions. The present review examines contemporary theoretical perspectives of ER and its measurement with a view to resolving the confusion that currently exists around interpersonal ER in a workplace context. To understand how this field of research has developed so diversely, the authors begin by demonstrating the influence of three major individual‐level ER models on interpersonal‐level approaches: (1) the ER process model; (2) emotional labor; and (3) emotional intelligence. Moreover, to make sense of the range of interpersonal‐level research underpinned by these theories, the authors present a 2×2 categorization, developed by Zaki and Williams (2013), which shows how workplace researchers have variously approached interpersonal ER as an intrinsic vs. extrinsic process, with activation of either response‐dependent or response‐independent categories. This categorization broadly shows interpersonal ER theory used in work contexts tends to fall into four groupings as: (1) a purely extrinsic process; (2) a differentiation of extrinsic interpersonal from intrinsic individual ER; (3) co‐occurring intrinsic and extrinsic interpersonal ER; or (4) interpersonal coregulation. This paper also discusses the measurement of interpersonal ER and concludes by highlighting emerging research directions.     

The Impact of Competitive Strategy and Supply Chain Strategy on Business Performance: The Role of Environmental Uncertainty*

This article investigates the relationships among competitive strategy, supply chain strategy, and business performance while examining the moderating effect of environmental uncertainty. A total of 604 questionnaires were collected from three cities in China, and the statistical results show significant moderating effects of external environment on the relationships among competitive strategy, supply chain strategy, and business performance. Firms that primarily focus on a differentiation strategy emphasize an agile supply chain strategy. Cost leaders are inclined to implement both lean and agile supply chain strategies, but their emphasis on agile strategy is significantly greater in a volatile environment than in a stable environment. The choice of supply chain strategy does not appear to be an “either‐or” decision and firms could adopt either a lean or an agile strategy, or both, depending on the environment. This article provides significant managerial implications for supply chain practitioners to co‐align supply chain strategy and competitive strategy with the environment to improve performance.     

Supply Chain Contract Design: Impact of Bounded Rationality and Individual Heterogeneity

In this article, we model various forms of non‐optimizing behavior in a newsvendor setting, including biases such as recency, reinforcement, demand chasing, and anchoring, as well as unsystematic decision errors. We assume that a newsvendor may evaluate decisions by examining both past outcomes and future expected payoffs. Our model is motivated by laboratory observations under several types of supply chain contracts. Ordering decisions are found to follow multi‐modal distributions that are dependent on contract structures and incentives. We differ from previous research by using statistics to determine which behavioral factors are applicable to each decision maker. A great deal of heterogeneity was discovered, indicating the importance of calibrating a contract to the individual. Our analysis also shows that the profit performance and the effectiveness of co‐ordinating contracts can be affected by non‐optimizing behaviors significantly. We conclude that, in addition to the aggregate order quantities, the decision distributions should be considered in designing contracts.     

Expression of Concern

‘Innovation Strategy, Human Resource Policy, and Firms' Revenue Growth: The Roles of Environmental Uncertainty and Innovation Performance’ by A. Oke, F.O. Walumbwa and A. Myers An Expression of Concern is hereby issued in relation to the above article, published online on 8 April 2012 in Wiley Online Library ( wileyonlinelibrary.com ), and in Volume 43, pp. 273–302, by agreement between the authors, the journal Editor in Chief, Cheri Speier‐Pero, the Decision Sciences Institute and Wiley Periodicals, Inc. The substance of the concern is that the fit statistics reported in the article may contain many errors. The journal has investigated the matter with the help of a committee of methodology experts in statistical technique. The committee has come to the conclusion that there may indeed be something wrong with the statistics provided in the article. However, it is difficult to ascertain the implications of these errors unless the raw data is made available. Unfortunately, the authors were not able to provide the raw data despite repeated requests. We feel it is important for our readership to be aware of potential issues with the results reported in this article. We would like to reiterate that authors should be able to provide raw data when requested by journals and editors. Providing access to data when requested is good scientific practice, and is encouraged by this journal.