Managing complexity in a multi-business-model organization

Many organizations operate multiple business models (BMs) concurrently. Yet, we know little about the challenges of managing a BM portfolio in one organization. In this study, we examine complexity as an important issue facing multi-BM firms. We differentiate complexity within a single BM from the complexity of links between BMs managed by a focal organization. Linking the BM and corporate strategy literatures, we discuss important dimensions and consequences of complexity in a BM portfolio. The sharing of similar activities and partners and the redeployment of activities and partners across BMs are important dimensions of the complexity of an integrated BM portfolio. We also suggest that BM portfolio complexity should be aligned with organizational design in terms of the centralization or decentralization of the decision-making process, and identify the positive effect of BM portfolio complexity on building imitation barriers.     

E‐Procurement Infusion and Operational Process Impacts in MRO Procurement: Complementary or Substitutive Effects?

The procurement of maintenance, repair, and operating (MRO) goods has remained a relatively understudied topic in the literature. Though vital cost efficiencies can be extracted from procurement processes through investments in e‐procurement systems, there is little empirical work that addresses how such systems should be deployed within organizations. In this study, we focus on the role of e‐procurement systems in MRO procurement and study two critical aspects of infusion. The first dimension captures the depth of e‐procurement use within the procurement function, while the second dimension depicts the breadth of use. We argue that these two dimensions of e‐procurement use, and their interaction, will be related to the performance of the MRO procurement process. Using survey data from 193 service organizations and structural equation modeling techniques, we show that the two infusion dimensions are significantly associated with improved process performance. Additionally, we show a substantial substitutive effect between the two use dimensions on performance. Our work has significant implications for managers who seek to gain efficiencies by the deployment of Internet‐based technologies within operational processes. Our conceptualization of e‐procurement infusion along two dimensions provides a more fine‐grained analysis of performance benefits accruing from the infusion of information technologies within organizations.     

Schumpeterian Growth Theory and the Dynamics of Income Inequality

In this lecture, it is argued that Schumpeterian Growth Theory, in which growth is driven by a sequence of quality‐improving innovations, can shed light on two important puzzles raised by the recent evolution of wage inequality in developed economies. The first puzzle concerns wage inequality between educational groups, which has substantially risen in the US and the UK during the past two decades following a sharp increase in the supply of educated labor. The second puzzle concerns wage inequality within educational groups, which accounts for a large fraction of the observed increase in wage inequality, although in contrast to between‐group wage inequality it has mainly affected the temporary component of income.     

The Role of Project and Organizational Context in Managing High‐tech R&D Projects

High‐tech organizations often struggle to manage different types of R&D projects. Evidence from research and practice suggests that managers frequently categorize and manage projects based on the extent of change triggered in product, process, technology, and market dimensions. However, this can create challenges in high‐tech organizations. This study investigates how high‐tech organizations manage R&D projects based on their learning goals. First, we argue for the benefits of categorizing R&D projects based on the degree of exploration and exploitation learning goals. A qualitative case study from four high‐tech business units involving 10 R&D projects helps understand the different types of projects based on their learning goals. The case study shows that R&D projects in high‐tech organizations typically fall into three categories based on their learning goals: Radical innovation projects, Incremental innovation projects, and Hybrid projects. Second, we iterate between literature and evidence from our qualitative data to theorize how project context and organizational context affect project performance depending on the type of project. The data for the empirical analysis come from a multilevel survey of 110 R&D projects across 34 high‐tech business units. Results show the importance of designing project and organizational context differently for the three types of R&D projects. Collectively, this study offers a new perspective on how to manage high‐tech R&D projects.     

Refocusing the Focus Group: AIRing as a Basis for Effective Workplace Planning

Organizations commonly make use of focus groups for planning purposes while giving little thought to the dimensions on which those groups are formed. This paper argues that the dimensions of group formation have a significant effect on the ultimate success of any planning exercise. This is because in all organizations people necessarily self‐categorize as members of groups that shape the way they think and act at work. However, there is often a lack of fit between the way organizations categorize employees and the way those employees categorize themselves. To the extent that there is a lack of fit between imposed and self‐identified categories, we argue that organizations will fail to effectively harness group resources. Any planning strategy that makes use of groups should organize people in terms of identities that are most relevant to their work in order (a) to have an impact on the way people think and act and (b) to ensure that people have (and feel that they have) the opportunity to provide input that is relevant, useful and important for the organization. The paper discusses a technique, AIRing, that allows organizations to address this issue effectively. This is the first stage of the ASPIRe negotiation‐based planning model (Eggins et al., Social Identity at Work: Developing Theory for Organizational Practice, pp. 241–260, Philadelphia, PA: Taylor & Francis, 2003; Haslam et al., British Journal of Management, 14 (2003), pp. 357–369).     

Labour Market Flexibility,Human Resource Management and Corporate Performance

Labour market flexibility is often portrayed as a key to the competitive success of the UK and US economies. We surveyed several hundred firms in the UK, and using the resulting data (on over 200 manufacturing firms) this paper investigates the relationships between firms’ use of flexible work practices, human resource systems and industrial relations on the one hand, and corporate performance on the other hand. The results suggest that ‘low‐road’ practices – short‐term contracts, a lack of employer commitment to job security, low levels of training and low levels of human resource sophistication – are negatively correlated with corporate performance. In contrast, it is found that ‘high‐road’ work practices –‘high commitment’ organizations or ‘transformed’ workplaces – are positively correlated with good corporate performance. It is also found that human resource management practices are more likely to contribute to competitive success where they are introduced as a comprehensive package, or ‘bundle’ of practices. Significant interaction effects between human resource systems, trade unions and flexible work practices add further support to the bundling hypothesis.     

How the Resource-based and the Dynamic Capability Views of the Firm Inform Corporate-level Strategy

This paper explains that the resource‐based view essentially addresses issues of competitive strategy, but by integrating some arguments from its evolutionary version, the dynamic capability view, it can be extended to inform our understanding of corporate‐level strategy. We concentrate on the issue of value creation from corporate centres and ask how the centre can possess or provide resources. The primary dynamic capabilities identified by Teece, Pisano and Shuen (1997) are elaborated into six distinct modes of resource creation. Each mode is considered in relation to a set of organizational design parameters. We then propose resource‐creating configurations that are congruent with respect to the modes and the required states of the design parameters. We point out areas of tension that are likely to arise if corporations try to combine different modes of resource creation. We conclude that corporate centres may possess resources but must display dynamic capabilities otherwise they will destroy shareholder value.     

Perceived Value of the Mass‐Customized Product and Mass Customization Experience for Individual Consumers

The operations management literature on mass customization mainly focuses on the questions of whether and how manufacturers can efficiently deliver customization. Researchers have analyzed the trade‐offs between customization and dimensions of operational performance such as delivery times, quality, and costs. However, we argue that providing efficient customization is not sufficient per se to assess the value of mass customization. From this perspective, this paper focuses on complementary mechanisms for creating value: the benefits perceived by individual consumers. Two global components of perceived value within the context of mass customization are identified: mass‐customized product, with three dimensions, and mass customization experience, with two dimensions. The Consumer‐Perceived Value Tool (CPVT) is proposed to empirically measure the five perceived benefits related to the mass‐customized product and to the codesign process from the consumer viewpoint. The psychometric properties of the CPVT are assessed using three samples. The implications of this approach are discussed, along with directions for further research.     

THE POLITICAL ECONOMY OF FLEXICURITY

We document the presence of a trade‐off in the labor market between the protection of jobs and the support offered to unemployed people. Different countries’ locations along this trade‐off represent stable political‐economic equilibria. We develop a model in which individuals determine the mix of job protection and support for the unemployed in a political environment. Agents are heterogeneous along two dimensions: employment status (insiders and outsiders) and skills (low and high). Unlike previous work on the political economy of labor market institutions, we emphasize the role of job protection and unemployment benefits in the wage‐setting process. A key implication of the model is that flexicurity configurations with low levels of job protection and high levels of support to the unemployed should emerge in the presence of a highly educated workforce. Panel regressions of countries’ locations along this institutional trade‐off are consistent with the implications of our model.     

Some Limitations of “Risk = Threat × Vulnerability × Consequence” for Risk Analysis of Terrorist Attacks

Several important risk analysis methods now used in setting priorities for protecting U.S. infrastructures against terrorist attacks are based on the formula: Risk=Threat×Vulnerability×Consequence. This article identifies potential limitations in such methods that can undermine their ability to guide resource allocations to effectively optimize risk reductions. After considering specific examples for the Risk Analysis and Management for Critical Asset Protection (RAMCAP?) framework used by the Department of Homeland Security, we address more fundamental limitations of the product formula. These include its failure to adjust for correlations among its components, nonadditivity of risks estimated using the formula, inability to use risk‐scoring results to optimally allocate defensive resources, and intrinsic subjectivity and ambiguity of Threat, Vulnerability, and Consequence numbers. Trying to directly assess probabilities for the actions of intelligent antagonists instead of modeling how they adaptively pursue their goals in light of available information and experience can produce ambiguous or mistaken risk estimates. Recent work demonstrates that two‐level (or few‐level) hierarchical optimization models can provide a useful alternative to Risk=Threat×Vulnerability×Consequence scoring rules, and also to probabilistic risk assessment (PRA) techniques that ignore rational planning and adaptation. In such two‐level optimization models, defender predicts attacker's best response to defender's own actions, and then chooses his or her own actions taking into account these best responses. Such models appear valuable as practical approaches to antiterrorism risk analysis.     

Evaluating and improving risk formulas for allocating limited budgets to expensive risk-reduction opportunities

Simple risk formulas, such as risk = probability × impact, or risk = exposure × probability × consequence, or risk = threat × vulnerability × consequence, are built into many commercial risk management software products deployed in public and private organizations. These formulas, which we call risk indices, together with risk matrices, “heat maps,” and other displays based on them, are widely used in applications such as enterprise risk management (ERM), terrorism risk analysis, and occupational safety. But, how well do they serve to guide allocation of limited risk management resources? This article evaluates and compares different risk indices under simplifying conditions favorable to their use (statistically independent, uniformly distributed values of their components; and noninteracting risk‐reduction opportunities). Compared to an optimal (nonindex) approach, simple indices produce inferior resource allocations that for a given cost may reduce risk by as little as 60% of what the optimal decisions would provide, at least in our simple simulations. This article suggests a better risk reduction per unit cost index that achieves 98–100% of the maximum possible risk reduction on these problems for all budget levels except the smallest, which allow very few risks to be addressed. Substantial gains in risk reduction achieved for resources spent can be obtained on our test problems by using this improved index instead of simpler ones that focus only on relative sizes of risk (or of components of risk) in informing risk management priorities and allocating limited risk management resources. This work suggests the need for risk management tools to explicitly consider costs in prioritization activities, particularly in situations where budget restrictions make careful allocation of resources essential for achieving close‐to‐maximum risk‐reduction benefits.     

Complements or Substitutes? Culture–Technology Interactions in Healthcare

The U.S. government recommends that hospitals adopt Computerized Provider Order Entry (CPOE) systems to improve the quality problems that plague U.S. hospitals. However, CPOE studies show mixed results. We hypothesize that CPOE effectiveness depends on the prevalence of patient safety culture within a hospital. Using organizational information processing theory, we describe how patient safety culture and CPOE enable healthcare organizations to better process information. Specifically, we posit that CPOE complements some aspects of patient safety culture and substitutes for others. Using ridge regression, we empirically test this proposition using data from 268 hospitals and multiple data sources. Results show that while CPOE complements the patient safety dimensions of handoffs and transitions, feedback and communication about error, and organizational learning, CPOE substitutes for the dimension of management support for safety, in the context of our dependent variable. As organizations work to implement new systems, this research can help decision‐makers understand how culture impacts such initiatives and account for culture when anticipating effects.     

Competitive Division of a Mixed Manna

A mixed manna contains goods (that everyone likes) and bads (that everyone dislikes), as well as items that are goods to some agents, but bads or satiated to others. If all items are goods and utility functions are homogeneous of degree 1 and concave (and monotone), the competitive division maximizes the Nash product of utilities (Gale–Eisenberg): hence it is welfarist (determined by the set of feasible utility profiles), unique, continuous, and easy to compute. We show that the competitive division of a mixed manna is still welfarist. If the zero utility profile is Pareto dominated, the competitive profile is strictly positive and still uniquely maximizes the product of utilities. If the zero profile is unfeasible (for instance, if all items are bads), the competitive profiles are strictly negative and are the critical points of the product of disutilities on the efficiency frontier. The latter allows for multiple competitive utility profiles, from which no single‐valued selection can be continuous or resource monotonic. Thus the implementation of competitive fairness under linear preferences in interactive platforms like SPLIDDIT will be more difficult when the manna contains bads that overwhelm the goods.     

Designing Efficient Infrastructural Investment and Asset Transfer Mechanisms in Humanitarian Supply Chains

We analyze the efficacy of different asset transfer mechanisms and provide policy recommendations for the design of humanitarian supply chains. As a part of their preparedness effort, humanitarian organizations often make decisions on resource investments ex ante because doing so allows for rapid response if an adverse event occurs. However, programs typically operate under funding constraints and donor earmarks with autonomous decision‐making authority resting with the local entities, which makes the design of efficient humanitarian supply chains a challenging problem. We formulate this problem in an agency setting with two independent aid programs, where different asset transfer mechanisms are considered and where investments in resources are of two types: primary resources that are needed for providing the aid and infrastructural investments that improve the operation of the aid program in using the primary resources. The primary resources are acquired from earmarked donations. We show that allowing aid programs the flexibility of transferring primary resources improves the efficiency of the system by yielding greater social welfare than when this flexibility does not exist. More importantly, we show that a central entity that can acquire primary resources from one program and sell them to the other program can further improve system efficiency by providing a mechanism that facilitates the transfer of primary resources and eliminates losses from gaming. This outcome is achieved without depriving the individual aid programs of their decision‐making autonomy while maintaining the constraints under which they operate. We find that outcomes with centralized resource transfer but decentralized infrastructural investments by the aid programs are the same as with a completely centralized system (where both resource transfer and infrastructural investments are centralized).     

Cultural Intelligence and Offshore Outsourcing Success: A Framework of Firm‐Level Intercultural Capability*

This article discusses the importance of firm‐level cultural intelligence in the context of international business ventures such as offshoring. We identify the recent movement toward global delivery models in offshoring ventures as the strategic imperative for offshoring partners to acquire and develop firm‐level cultural intelligence. Drawing on Earley and Ang's (2003) conceptualization of cultural intelligence and the resource based view of the firm, we develop a conceptual framework of firm‐level cultural intelligence. The framework comprises three dimensions of intercultural capabilities of the firm: managerial, competitive, and structural. We propose items to measure these three dimensions and discuss theoretical and managerial implications.     

Stewardship as process: A paradox perspective

Long-term stewardship is usually represented as a stable structural condition and portrayed as a source of competitive advantage to firms (including family businesses) that use it as a mode of governance. Less is known about how organizations engage with stewardship as a process. We embrace a process approach to report a case study about the unfolding of stewardship in a multi-business family group. We conclude that stewardship is a process marked by critical tensions and paradoxes; by exploring the nature of these we uncover further dimensions and responses to the paradoxes of stewardship.     

Revenue Management of Reusable Resources with Advanced Reservations

We consider a revenue management problem wherein the seller is endowed with a single type resource with a finite capacity and the resource can be repeatedly used to serve customers. There are multiple classes of customers arriving according to a multi‐class Poisson process. Each customer, upon arrival, submits a service request that specifies his service start time and end time. Our model allows customer advanced reservation times and services times in each class to be arbitrarily distributed and correlated. Upon arrival of each customer, the seller must instantaneously decide whether to accept this customer's service request. A customer whose request is denied leaves the system. A customer whose request is accepted is allocated with a specific item of the resource at his service start time. The resource unit occupied by a customer becomes available to other customers after serving this customer. The seller aims to design an admission control policy that maximizes her expected long‐run average revenue. We propose a policy called the ε‐perturbation class selection policy (ε‐CSP), based on the optimal solution in the fluid setting wherein customers are infinitesimal and customer arrival processes are deterministic, under the restriction that the seller can utilize at most (1 − ε) of her capacity for any ε ∈ (0, 1). We prove that the ε‐CSP is near‐optimal. More precisely, we develop an upper bound of the performance loss of the ε‐CSP relative to the seller's optimal revenue, and show that it converges to zero with a square‐root convergence rate in the asymptotic regime wherein the arrival rates and the capacity grow up proportionally and the capacity buffer level ε decays to zero.     

Organizational Discourse: Domains,Debates, and Directions

Interest in the analysis of organizational discourse has expanded rapidly over the last two decades. In this article, we reflect critically on organizational discourse analysis as an approach to the study of organizations and management, highlighting both its strengths and areas of challenge. We begin with an explanation of the nature of organizational discourse analysis and outline some of the more significant contributions made to date. We then discuss existing classifications of approaches to the study of organizational discourse and suggest that they fall into two main categories: classifications by level of analysis and classifications by type of method. We argue that both of these approaches are inherently problematic and present an alternative way to understand the varieties of approaches to the analysis of organizational discourse based on within domain and across domain characterizations. We conclude with a discussion of the challenges that remain in the development of organizational discourse as an area of study and point to some of the opportunities for important and unique contributions to our understanding of organizations and management that this family of methods brings.     

Multiple Conceptualizations of Small Business Web Use and Benefit*

Small businesses play an important role in the U.S. economy and there is anecdotal evidence that use of the Web is beneficial to such businesses. There is, however, little systematic analysis of the conditions that lead to successful use of and thereby benefits from the Web for small businesses. Based on the innovation adoption, organizations, and information systems (IS) implementation literature, we identify a set of variables that are related to adoption, use, and benefits of information technology (IT), with particular emphasis on small businesses. These variables are reflective of an organization's contextual characteristics, its IT infrastructure, Web use, and Web benefits. Since the extant research does not suggest a single theoretical model for Web use and benefits in the context of small businesses, we adopt a modeling approach and explore the relationships between “context‐IT‐use‐benefit” (CIUB) through three models—partial‐mediator, reduced partial‐mediator, and mediator. These models posit that the extent of Web use by small businesses and the associated benefits are driven by organizations’ contextual characteristics and their IT infrastructure. They differ in the endogeneity/exogeneity of the extent of IT sophistication, and in the direct/mediated effects of organizational context. We examine whether the relationships between variables identified in the literature hold within the context of these models using two samples of small businesses with national coverage, including various sizes, and representing several industry sectors. The results show that the evidence for patterns of relationships is similar across the two independent samples for two of these models. We highlight the relationships within the reduced partial‐mediator and mediator models for which conclusive evidence are given by both samples. Implications for small business managers and providers of Web‐based technologies are discussed.     

Strategic Liquidity Provision in Limit Order Markets

We characterize and prove the existence of Nash equilibrium in a limit order market with a finite number of risk‐neutral liquidity providers. We show that if there is sufficient adverse selection, then pointwise optimization (maximizing in p for each q) in a certain nonlinear pricing game produces a Nash equilibrium in the limit order market. The need for a sufficient degree of adverse selection does not vanish as the number of liquidity providers increases. Our formulation of the nonlinear pricing game encompasses various specifications of informed and liquidity trading, including the case in which nature chooses whether the market‐order trader is informed or a liquidity trader. We solve for an equilibrium analytically in various examples and also present examples in which the first‐order condition for pointwise optimization does not define an equilibrium, because the amount of adverse selection is insufficient.