The global “war for talent”

In this paper we examine the “global war for talent,” the factors that impact it, and organizations' responses to it. Using a comprehensive search of more than 400 contemporary academic and business press articles, the paper reviews relevant research and reassesses the “talent war.” We posit that the dominant approaches to the “talent war” based on a scarcity state of mind and action, often characterized by a tactical and exclusive top talent or “star” focus, are being challenged by the emergence of a more evolutionary paradigm. This new paradigm adopts more strategic, innovative, cooperative and generative approaches which we describe as creative ‘talent solutions.’ The paper also highlights implications for future research, teaching and development in the field.     

Synergy from configuration of global production networks: drivers,mechanisms, and outcomes

Abstract

This paper explores the network synergies available from the configuration of highly dispersed, global production networks (GPNs). Synergy theory from the literature on intra-firm and inter-firm GPNs is examined in terms of drivers, mechanisms and outcomes. An explanatory model is developed and enriched via a series of extended case studies of firms undertaking re-configuration of their GPNs during the period 2003–2014. The primary finding is that firms create synergy in their GPNs by selecting specific configuration mechanisms, in response to a certain set of external drivers, in order to achieve certain synergistic outcomes. The paper classifies the main types of drivers, mechanisms and outcomes in terms of key variables and discusses their inter-connections and relationships.     

The influence of “country of origin” on multinational corporation global strategy: A conceptual framework

This article examines the proposition that MNCs from a particular country are likely to exhibit profile similarities that are distinct from those of MNCs emanating from another country due to differences in home country factors. We call this “country of origin effect” (COE). A generalized framework is presented briefly explaining the nature of relationships among various COE elements that influence MNC strategy. A number of research propositions are offered that postulate the presumed effect of COE elements on MNC strategy and competitive behavior. Finally, suggestions are made as to the implications of this avenue of enquiry for further research as well as guide for management action.     

An integrated micro- and macrolevel discussion of global green issues: “It isn't easy being green”

Two key issues arising from globalization of world markets are the impact of business activities on the environment and threats to sustainable development. These issues are usually referred to as “green” issues. This paper presents a detailed discussion of global green issues in the context of a number of environments that include the socioeconomic, political, technological, and competitive arenas. The discussion is based on an attempt to integrate two conceptual models by Maslow (Maslow, A., 1954. Motivation and Personality. Harper & Row, New York) and Cateora (Cateora, P.R., 1983. International Marketing, 4th. ed. Irwin, Chicago, IL). The goal is to bring together both a microlevel perspective of the individual consumer and a macrolevel perspective of business through analysis in multiple environments that are affected by green issues. This integration is viewed conceptually as a recursive system of mutually reinforcing causes and effects at the micro- and macrolevels.The leitmotiv throughout the paper is that “it isn't easy being green,” either for consumers, activists, corporate leaders and managers, or public policymakers. Practical examples are presented to support and illustrate the discussion. The main finding is that a new approach is needed to business in general through a new dominant social paradigm (DSP) and to international business in particular in order to achieve both sustainable development and sustainable consumption. In conclusion, the importance of individual responsibility and action by consumers and managers alike is underlined.     

A Note on ‘An Approximate Solution to Deterministic Systems’

In a recent paper, Moeeni and Chang (1990) presented an efficient heuristic solution method to solve a specific case of a deterministic kanban system. In this paper, we first provide a simple numerical example to show that the kanban system formulation proposed by Moeeni and Chang can result in infeasible solutions. We then present a modified formulation and show its feasibility. We discuss the implications of the corrected formulation and finally present conclusions and future research directions.     

The ‘ART' of knowledge:: Systems to capitalize on market knowledge

The authors argue that current knowledge management practice, which focuses on managing explicit data and information technology, is not enough. Tacit knowledge, such as subjective insights or emotions must also be considered.Converting between these forms of knowledge is important, and the concept of ART (action–reflex–trigger) systems is introduced to enable this to take place. ART systems enable companies to implement a multi-dynamic approach to knowledge management.The complex concept of ‘ba' is introduced—a shared mental space for knowledge creation—which provides a foundation for knowledge creation. The authors explore the nature, context and enabling conditions for ART systems and show how ba can be employed in ART systems.A case study—of the Seven-Eleven Japan corporation is presented, whose outstanding success is based on the capitalization of market knowledge, striking a balance between supportive IT and human insight, to achieve a multi-dynamic approach to knowledge management. The company integrates several interlinked ba and ART systems.     

Policies to Attract R&D-related FDI in Small Emerging Countries: Aligning Incentives With Local Linkages and Absorptive Capacities in Chile

Over the last decade we have witnessed an unprecedented growth in the number of cross-border R&D investments towards large emerging countries such as China and India. However, small middle-income countries have played a marginal role as recipients of R&D-related FDI despite increasing policy efforts. In particular, several Latin American countries have recently launched new policy programs with the aim of attracting this kind of investments, but it remains uncertain whether public incentives can be useful to compensate for other locational disadvantages. The case of Chile provides an interesting empirical setting to explore these issues because during the last decade its government has been actively promoting R&D-related FDI through a new policy mix. This article suggests that for national innovation systems to benefit from the attraction of internationally-mobile R&D it is critical for public policies to ensure that appropriate linkages are established with local actors that hold absorptive capacities. Equally important for a small emerging economy like Chile is to prioritize R&D-related FDI in strategic technology niches where the country can realistically attain critical mass.     

A Note on ‘An Approximate Solution to Deterministic Kanban Systems’: A Commentary and Further Insights

In a recent paper, Vemuganti, Batta, and Zhu (1996) stated that the linear programming model suggested by Moeeni and Chang (1990) could result in infeasibility. They also suggested an alternative mathematical formulation for determining the number of kanbans. The intention of this article is twofold. First, we maintain that the finding of Vemuganti et al., while valid, is based on a misplaced emphasis on the purpose of the Moeeni and Chang article. Second, we demonstrate that the Vemuganti et al. formulation is a special case of a more general model proposed by Bitran and Chang (1987).     

The Myth of Restructuring, ‘Competent’ Managers and the Transition to a Market Economy: a Romanian Tale

A great deal of rhetoric surrounds the transformation from socialism to free-market capitalism. This paper explores to what extent the restructuring of Romanian companies has been an attempt to pay lip-service to prevailing rhetoric and to what extent it has been premised upon economic rationality. To restructure along structural, technological, financial but primarily managerial fronts has become a cultural value which is applauded, praised and heralded as the only way forward by the Romanian institutions of the transition. The companies under the study subscribe to such rhetoric only when they regard it as being embedded in economic rationality, as is the case with structural, financial and technological restructuring. Managerial restructuring, on the other hand, is not regarded as a technical necessity, given the view held by existing senior managers that skills and qualities acquired in the socialist regime are still appropriate to run a business successfully in the free-market economy.     

Stochastic Algorithms,Symmetric Markov Perfect Equilibrium,and the ‘curse’ of Dimensionality

This paper introduces a stochastic algorithm for computing symmetric Markov perfect equilibria. The algorithm computes equilibrium policy and value functions, and generates a transition kernel for the (stochastic) evolution of the state of the system. It has two features that together imply that it need not be subject to the curse of dimensionality. First, the integral that determines continuation values is never calculated; rather it is approximated by a simple average of returns from past outcomes of the algorithm, an approximation whose computational burden is not tied to the dimension of the state space. Second, iterations of the algorithm update value and policy functions at a single (rather than at all possible) points in the state space. Random draws from a distribution set by the updated policies determine the location of the next iteration's updates. This selection only repeatedly hits the recurrent class of points, a subset whose cardinality is not directly tied to that of the state space. Numerical results for industrial organization problems show that our algorithm can increase speed and decrease memory requirements by several orders of magnitude.     

‘Belonging’ to a Virtual Research Centre: Exploring the Influence of Social Capital Formation Processes on Member Identification in a Virtual Organization

Identification, a person's sense of belonging, is thought to have positive outcomes because those who identify strongly will be more motivated to achieve organizational goals. This study applies a social capital lens in order to highlight how different social capital formation processes contribute to member identification, with a focus on virtual organizations where dispersed membership may preclude face‐to‐face interactions. The study provides a rare opportunity to explore variation in identification in a single organizational context. The results highlight how some dimensions of social capital augment each other and affect identification through the four conditions that influence social capital development: time, interdependence, interaction and closure. The study suggests that, while creating interdependence and an array of means for interaction support the development of both social capital and identification, not all members of the organization need to feel equally connected. Partial closure appears beneficial for information flows and ‘renewal’ of the virtual organization.     

Response to “Revisiting ISO 14000 Diffusion: A New ”Look“ at the Drivers of Certification”

In Corbett and Kirsch (2001), we used a simple regression in an exploratory investigation of drivers of global diffusion of ISO 14000 certification. We found that ISO 9000 certification levels, environmental treaties ratified, and exports as a proportion of GDP were the main significant variables, where the environmental measure may be moderated by GDP per capita. In his replication study, Vastag (2004, in this issue) analyzes the same data using more visual techniques, specifically regression trees, and finds support for the significance of ISO 9000 certification levels and environmental treaties ratified, but not for export‐propensity. Vastag raises a number of relevant methodological issues, to which we add some perspectives here.     

Comment on “Constrained Optimization Approaches to Estimation of Structural Models”

We revisit the comparison of mathematical programming with equilibrium constraints (MPEC) and nested fixed point (NFXP) algorithms for estimating structural dynamic models by Su and Judd (2012). Their implementation of the nested fixed point algorithm used successive approximations to solve the inner fixed point problem (NFXP‐SA). We redo their comparison using the more efficient version of NFXP proposed by Rust (1987), which combines successive approximations and Newton–Kantorovich iterations to solve the fixed point problem (NFXP‐NK). We show that MPEC and NFXP are similar in speed and numerical performance when the more efficient NFXP‐NK variant is used.     

The Use of Simulation to Reduce the Domain of “Black Swans” with Application to Hurricane Impacts to Power Systems

Recently, the concept of black swans has gained increased attention in the fields of risk assessment and risk management. Different types of black swans have been suggested, distinguishing between unknown unknowns (nothing in the past can convincingly point to its occurrence), unknown knowns (known to some, but not to relevant analysts), or known knowns where the probability of occurrence is judged as negligible. Traditional risk assessments have been questioned, as their standard probabilistic methods may not be capable of predicting or even identifying these rare and extreme events, thus creating a source of possible black swans. In this article, we show how a simulation model can be used to identify previously unknown potentially extreme events that if not identified and treated could occur as black swans. We show that by manipulating a verified and validated model used to predict the impacts of hazards on a system of interest, we can identify hazard conditions not previously experienced that could lead to impacts much larger than any previous level of impact. This makes these potential black swan events known and allows risk managers to more fully consider them. We demonstrate this method using a model developed to evaluate the effect of hurricanes on energy systems in the United States; we identify hurricanes with potentially extreme impacts, storms well beyond what the historic record suggests is possible in terms of impacts.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.     

10‐year Anniversary of the New Product Development,R&D,and Project Management Department in Production and Operations Management—Progress,Thoughts, and Perspectives

The issue you are about to browse offers an opportunity to share many thanks, some observations, and a few forward‐looking thoughts about the department I have had the honor to edit over the last 4 years. It also offers an opportunity to expand the discussion beyond the boundaries of the particular department of Production and Operations Management (POM), and to take stock of the evolution path of the academic community that has formed around the department and its research topics over the past 10 years.     

A Response to Xiao's “Necessary and Sufficient Conditions of Unacceptable Solutions in LP Discriminant Analysis”: Something is Amiss

Characterization of unacceptable solutions of linear programming methods for linear discriminant problems have been studied by many researchers. This note shows that a recent correction was not a correction but a tightening of prior results.     

Development of Dose‐Response Models to Predict the Relationship for Human Toxoplasma gondii Infection Associated with Meat Consumption

Toxoplasma gondii is a protozoan parasite that is responsible for approximately 24% of deaths attributed to foodborne pathogens in the United States. It is thought that a substantial portion of human T. gondii infections is acquired through the consumption of meats. The dose‐response relationship for human exposures to T. gondii‐infected meat is unknown because no human data are available. The goal of this study was to develop and validate dose‐response models based on animal studies, and to compute scaling factors so that animal‐derived models can predict T. gondii infection in humans. Relevant studies in literature were collected and appropriate studies were selected based on animal species, stage, genotype of T. gondii, and route of infection. Data were pooled and fitted to four sigmoidal‐shaped mathematical models, and model parameters were estimated using maximum likelihood estimation. Data from a mouse study were selected to develop the dose‐response relationship. Exponential and beta‐Poisson models, which predicted similar responses, were selected as reasonable dose‐response models based on their simplicity, biological plausibility, and goodness fit. A confidence interval of the parameter was determined by constructing 10,000 bootstrap samples. Scaling factors were computed by matching the predicted infection cases with the epidemiological data. Mouse‐derived models were validated against data for the dose‐infection relationship in rats. A human dose‐response model was developed as P (d) = 1–exp (–0.0015 × 0.005 × d) or P (d) = 1–(1 + d × 0.003 / 582.414)^?1.479. Both models predict the human response after consuming T. gondii‐infected meats, and provide an enhanced risk characterization in a quantitative microbial risk assessment model for this pathogen.