The panopticon,an emblematic concept in management and organization studies: Heaven or hell?

The well-known metaphor of ‘panopticon’, derived from Bentham's project and popularized by Foucault, has long informed scholarly conversations in management and organization studies (MOS). Herein, we question the power of this emblematic metaphor. Through an in-depth literature review specifying its form, principle and goal, coupled to an investigation of Bentham's original writings, we identify two readings of the panopticon. First, we disentangle the uses of this concept in MOS literature and highlight a rather uniform and negative interpretation of the panopticon as a mechanism of social control and surveillance (first reading). Beyond this dominant interpretation, we contend that the panopticon is a richer concept than MOS literature acknowledges. Going back to Bentham's initial project, entailing not only one but plural types of panopticons, we propose a more comprehensive conceptualization of the panopticon (second reading) as: (1) a rewarding functional dispositive based on freedom and autonomy (form); (2) relying on information sharing, transparency and visibility (principle); and (3) striving for harmony and efficiency as ultimate ends (goal). In doing so, we generate a new way of seeing the panopticon in MOS research. We also reveal an inherent tension between both readings, interpreted as dystopia and utopia, and show that their combination allows grasping the ambivalence of panopticism in practice in ways that can inform further research on liberal management. As a practice of freedom, panopticism in practice might indeed turn into an instrument furthering control. To conclude, we highlight some analytical paths to help MOS scholars disentangle such ambivalence.     

Order Management in the Customization‐Responsiveness Squeeze*

Make‐to‐order (MTO) products may be either customized or standard, and customization can occur either at the configuration or component level. Consequently, MTO production processes can be divided into three customization gestalts: non‐customizers, custom assemblers, and custom producers. In this article, we examine how the multilevel nature of customization affects order management in processes that produce complex MTO products. We first empirically validate the existence of the three customization gestalts and subsequently, analyze the order management challenges and solutions in each gestalt in a sample of 163 MTO production processes embedded in seven different supply chains. In the analyses, we follow a mixed‐methods approach, combining a quantitative survey with qualitative interview data. The results show that important contingencies make different order management practices effective in different gestalts. Further qualitative inquiry reveals that some seemingly old‐fashioned practices, such as available‐to‐promise verifications, are effective but commonly neglected in many organizations. The results also challenge some of the conventional wisdom about custom assembly (and indirectly, mass customization). For example, the systematic configuration management methods—conventionally associated with project business environments—appear to be equally important in custom assembly.     

Green supply‐chain management: A state‐of‐the‐art literature review

There is a growing need for integrating environmentally sound choices into supply‐chain management research and practice. Perusal of the literature shows that a broad frame of reference for green supply‐chain management (GrSCM) is not adequately developed. Regulatory bodies that formulate regulations to meet societal and ecological concerns to facilitate growth of business and economy also suffer from its absence. A succinct classification to help academicians, researchers and practitioners in understanding integrated GrSCM from a wider perspective is needed. Further, sufficient literature is available to warrant such classification. This paper takes an integrated and fresh look into the area of GrSCM. The literature on GrSCM is covered exhaustively from its conceptualization, primarily taking a ‘reverse logistics angle’. Using the rich body of available literature, including earlier reviews that had relatively limited perspectives, the literature on GrSCM is classified on the basis of the problem context in supply chain's major influential areas. It is also classified on the basis of methodology and approach adopted. Various mathematical tools/techniques used in literature vis‐à‐vis the contexts of GrSCM are mapped. A timeline indicating relevant papers is also provided as a ready reference. Finally, the findings and interpretations are summarized, and the main research issues and opportunities are highlighted.     

Managing Change Across Boundaries: Boundary‐Shaking Practices1

To date, boundary spanning has primarily been conceived of as an activity relating an organization to its environment, including other organizations with which it cooperates and competes. In contrast, this study focuses on the boundary spanning practices of individuals acting as change agents to implement boundary‐shaking change initiatives across intra‐organizational boundaries. These boundary‐shaking individuals all work for blue‐chip organizations in sectors as diverse as pharmaceuticals, consultancy and automotive. The change initiatives are equally diverse, including post‐merger integration, exploitation of across‐business synergies and implementing more integrative structures. Through our examination of boundary‐shakers we are able to extend what we know about internal change agency and change agent skills and practices. Our starting point is that organizations are comprised of networks of people with a degree of common interest. Our research shows our research subjects to be active movers and shakers in these networks, using their knowledge of the organizational political context and the motivations of others to create new networks (or new meanings within old networks), which then enables them to pursue their change objectives.     

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.     

Developing a Human‐centred and Science‐based Approach to Design: The Knowledge Management Platform Project

The gap between theory and practice is a persistent problem in management and organization research. In this respect, several scholars have suggested that ‘design’ is an ideal‐typical form of mode 2 knowledge production. Design research develops knowledge in the service of action and problem solving in organizational settings. In this paper, we connect two perspectives on design that can be considered to be largely complementary but have hardly been combined and integrated in practice: science‐based design drawing on design propositions grounded in research and human‐centred design emphasizing an active and systematic participation by users and other stakeholders. An integrated approach that builds on both perspectives is developed and subsequently applied to designing and developing a portal for mapping competencies in an information technology cluster. This project involves creating problem awareness and articulating design propositions as well as developing scenarios of use, experimenting with prototypes, and organizational transformation. As such, this methodology addresses the dual challenge of rigour and relevance by producing both scientific and practical knowledge.     

Replenishment Policies for Multi‐Product Stochastic Inventory Systems with Correlated Demand and Joint‐Replenishment Costs

This study analyzes optimal replenishment policies that minimize expected discounted cost of multi‐product stochastic inventory systems. The distinguishing feature of the multi‐product inventory system that we analyze is the existence of correlated demand and joint‐replenishment costs across multiple products. Our objective is to understand the structure of the optimal policy and use this structure to construct a heuristic method that can solve problems set in real‐world sizes/dimensions. Using an MDP formulation we first compute the optimal policy. The optimal policy can only be computed for problems with a small number of product types due to the curse of dimensionality. Hence, using the insight gained from the optimal policy, we propose a class of policies that captures the impact of demand correlation on the structure of the optimal policy. We call this class (s, c, d, S)‐policies, and also develop an algorithm to compute good policies in this class, for large multi‐product problems. Finally using an exhaustive set of computational examples we show that policies in this class very closely approximate the optimal policy and can outperform policies analyzed in prior literature which assume independent demand. We have also included examples that illustrate performance under the average cost objective.     

Browse‐and‐Switch: Retail‐Online Competition under Value Uncertainty

Although online shopping is becoming popular, consumers who are unsure about whether to buy a product may find it advantageous to visit a brick‐and‐mortar retail store to first examine the product before purchasing it. But, after browsing at the store, consumers have the option of switching to an e‐tailer to purchase the item at a cheaper price rather than buying at the store. Recent business press refers to this browse‐and‐switch behavior as “showrooming,” and attributes to it the declining profits of brick‐and‐mortar retailers. To study the effect of the browse‐and‐switch option on retail and online pricing strategies and profits, we analyze a stylized economic model that incorporates uncertainty in consumers' valuation of the product, captures the heterogeneity among consumers in their inclination to purchase online, and permits product returns. We consider various equilibrium scenarios for different combinations of consumer shopping behaviors, characterize the parameter ranges for each scenario, and demonstrate that browse‐and‐switch behavior can indeed occur under equilibrium. Our analysis further shows that the option for consumers to browse‐and‐switch intensifies competition, reducing the profits for both firms.     

The relevance and impact of business schools: In search of a holistic view

The degree to which business schools are relevant and impactful for society has been disputed. Critics that engage in the so-called ‘relevance problem’ have argued that business schools are preoccupied with academic rigour at the expense of practical relevance, resulting in a lack of societal impact. This systematic literature review synthesizes the fragmented body of knowledge pertaining to the relevance and impact of business schools. Appreciating the contributions of both research and education, this review offers a holistic view that acknowledges the multidimensional nature of business schools. Based on an analysis of 266 journal articles, we present the four main literature streams in this domain. We find limited evidence of cross-fertilisation between discussions of research and education. However, by acknowledging the contribution of applying a multidimensional lens to the study of business schools, we develop a holistic thematic framework that provides theoretical directions for the future. Using this, we demonstrate four avenues for advancing the business school literature. First, we emphasise the potential of an institutional logics perspective to viewing business schools. Second, we offer a novel proposal for understanding the bridge between research and education. Third, we emphasise the application of a value co-creation theoretical lens when considering how business schools engage with stakeholders in research and education. Finally, we propose an all-encompassing stakeholder-centric definition of relevant and impactful knowledge and advocate for this inclusive definition to conceptually bridge the fragmented discussions of research and education.     

Strong Duality for a Multiple‐Good Monopolist

We characterize optimal mechanisms for the multiple‐good monopoly problem and provide a framework to find them. We show that a mechanism is optimal if and only if a measure μ derived from the buyer's type distribution satisfies certain stochastic dominance conditions. This measure expresses the marginal change in the seller's revenue under marginal changes in the rent paid to subsets of buyer types. As a corollary, we characterize the optimality of grand‐bundling mechanisms, strengthening several results in the literature, where only sufficient optimality conditions have been derived. As an application, we show that the optimal mechanism for n independent uniform items each supported on [c,c+1] is a grand‐bundling mechanism, as long as c is sufficiently large, extending Pavlov's result for two items Pavlov, 2011. At the same time, our characterization also implies that, for all c and for all sufficiently large n, the optimal mechanism for n independent uniform items supported on [c,c+1] is not a grand‐bundling mechanism.     

Liability of foreignness to competitive advantage: How multinational enterprises cope with the international business environment

An expanded and holistic conceptualization of the liability of foreignness (LOF) is presented that goes beyond the traditional foreign subsidiary–local firm dyad in the host country. Taking the strategy process perspective, we contend that this liability is the aggregated effect of the firm's interaction with all elements of the international business environment (IBE), not merely in the initial entry mode decisions but throughout its foreign operations. Viewing the antecedents and consequences of this liability holistically, we argue that accurate reading of the complex and volatile IBE, formulation of a compatible strategy and its effective implementation together contribute to good performance. As the resource-based perspective suggests the degree to which firms develop such tacit skills, differentially affects their performance. Firms that excel in these environment-reading skills and are agile enough to quickly adapt to its changes can transform this liability into a competitive advantage.     

E‐Business: A Review of Research Published in Production and Operations Management (1992–2008)

We review, classify, consolidate, and synthesize the contributions to the expanding field of e‐business that have been published in Production and Operations Management. We classify e‐business research in the following four categories: (1) e‐auctions, (2) radio frequency identification, (3) e‐business system design, and (4) competition, conflict, collaboration, and coordination (C⁴ in e‐business). We identify important research themes, research methodologies, and research techniques within each of these categories. We also provide directions for future research and discuss the managerial implications of the e‐business research reported in our paper.     

Experimental Results Indicating Lattice‐Dependent Policies May Be Optimal for General Assemble‐To‐Order Systems

We consider an assemble‐to‐order (ATO) system with multiple products, multiple components which may be demanded in different quantities by different products, possible batch ordering of components, random lead times, and lost sales. We model the system as an infinite‐horizon Markov decision process under the average cost criterion. A control policy specifies when a batch of components should be produced, and whether an arriving demand for each product should be satisfied. Previous work has shown that a lattice‐dependent base‐stock and lattice‐dependent rationing (LBLR) policy is an optimal stationary policy for a special case of the ATO model presented here (the generalized M‐system). In this study, we conduct numerical experiments to evaluate the use of an LBLR policy for our general ATO model as a heuristic, comparing it to two other heuristics from the literature: a state‐dependent base‐stock and state‐dependent rationing (SBSR) policy, and a fixed base‐stock and fixed rationing (FBFR) policy. Remarkably, LBLR yields the globally optimal cost in each of more than 22,500 instances of the general problem, outperforming SBSR and FBFR with respect to both objective value (by up to 2.6% and 4.8%, respectively) and computation time (by up to three orders and one order of magnitude, respectively) in 350 of these instances (those on which we compare the heuristics). LBLR and SBSR perform significantly better than FBFR when replenishment batch sizes imperfectly match the component requirements of the most valuable or most highly demanded product. In addition, LBLR substantially outperforms SBSR if it is crucial to hold a significant amount of inventory that must be rationed.     

End‐of‐Sample Instability Tests

This paper considers tests for structural instability of short duration, such as at the end of the sample. The key feature of the testing problem is that the number, m, of observations in the period of potential change is relatively small—possibly as small as one. The well‐known F test of Chow (1960) for this problem only applies in a linear regression model with normally distributed iid errors and strictly exogenous regressors, even when the total number of observations, n+m, is large. We generalize the F test to cover regression models with much more general error processes, regressors that are not strictly exogenous, and estimation by instrumental variables as well as least squares. In addition, we extend the F test to nonlinear models estimated by generalized method of moments and maximum likelihood. Asymptotic critical values that are valid as n→∞ with m fixed are provided using a subsampling‐like method. The results apply quite generally to processes that are strictly stationary and ergodic under the null hypothesis of no structural instability.     

Animal and Human Dose‐Response Models for Brucella Species

Human Brucellosis is one of the most common zoonotic diseases worldwide. Disease transmission often occurs through the handling of domestic livestock, as well as ingestion of unpasteurized milk and cheese, but can have enhanced infectivity if aerosolized. Because there is no human vaccine available, rising concerns about the threat of Brucellosis to human health and its inclusion in the Center for Disease Control's Category B Bioterrorism/Select Agent List make a better understanding of the dose‐response relationship of this microbe necessary. Through an extensive peer‐reviewed literature search, candidate dose‐response data were appraised so as to surpass certain standards for quality. The statistical programming language, “R,” was used to compute the maximum likelihood estimation to fit two models, the exponential and the approximate beta‐Poisson (widely used for quantitative risk assessment) to dose‐response data. Dose‐response models were generated for prevalent species of Brucella: Br. suis, Br. melitensis, and Br. abortus. Dose‐response models were created for aerosolized Br. suis exposure to guinea pigs from pooled studies. A parallel model for guinea pigs inoculated through both aerosol and subcutaneous routes with Br. melitensis showed that the median infectious dose corresponded to a 30 colony‐forming units (CFU) dose of Br. suis, much less than the N₅₀ dose of about 94 CFU for Br. melitensis organisms. When Br. melitensis was tested subcutaneously on mice, the N₅₀ dose was higher, 1,840 CFU. A dose‐response model was constructed from pooled data for mice, rhesus macaques, and humans inoculated through three routes (subcutaneously/aerosol/intradermally) with Br. melitensis.     

A Systematic Literature Review on Recent Lean Research: State‐of‐the‐art and Future Directions

Lean management (LM) has attracted the interest of scientists and practitioners since 1990, when Womack et al. (Womack, J.P., Jones, D.T. and Roos, D. (1990). The Machine that Changed the World. New York, NY: Rawson Associates) popularized the Japanese manufacturing approach aimed at eliminating waste to improve operational performance and customer satisfaction. Over the years, the lean concept has evolved becoming a managerial paradigm applicable to different sectors and processes with impressive results. This heterogeneity of implementations and settings makes the recent LM literature diverse and fragmented, and an extensive analysis of the latest contributions on this field is lacking. To address this gap, the authors propose a systematic literature review (SLR) of 240 articles published in 25 peer‐reviewed academic journals from January 2003 to December 2015. The purpose is to analyse the recent trends in this area and to provide a framework that organizes lean researched issues into mature, intermediate and nascent, based on their position in the research life cycle. Starting from the gaps that the SLR highlights, the authors suggest conducting lean research in the following directions: (a) grounding lean studies on existing managerial theories; (b) addressing service settings such as banking/finance, public sector and education; (c) exploring the role of national culture through cross‐country comparisons; (d) defining and conceptualizing ‘lean‐x’ processes; (e) understanding the relationships between lean and safety/environmental issues, and (f) unveiling the effects on social outcomes. Finally, the proposed framework helps scholars find issues not sufficiently explored that require theory‐building research (to move from nascent to intermediate) or theory‐testing research (to move from intermediate to mature).     

Framing Effects in Narrative and Non‐Narrative Risk Messages

Narrative messages are increasingly popular in health and risk campaigns, yet gain/loss framing effects have never been tested with such messages. Three experiments examined framing in narrative messages. Experiment 1 found that only the character's decision, not framing, influenced judgments about characters in a narrative derived from a prospect theory context. Experiment 2 found that a framing effect that occurred when presented in a decision format did not occur when the same situation was presented as a narrative. Using a different story/decision context, Experiment 3 found no significant difference in preference for surgery over radiation therapy in a narrative presentation compared to a non‐narrative presentation. The results suggest that health and risk campaigns cannot assume that framing effects will be the same in narrative messages and non‐narrative messages. Potential reasons for these differences and suggestions for future research are discussed.     

The New CEO and the Post‐succession Process: An Integration of Past Research and Future Directions

The early tenure of a new Chief Executive Officer (CEO), also referred to as ‘the CEO post‐succession process’, is a critical phase in the history of an organization, because it is associated with a high rate of organizational failure and CEO dismissal. Research on this important process has grown rapidly over the last decade, focusing particularly on the question of how the match between the CEO, the organization and the environment is created in the post‐succession process. Yet, the respective literature is highly fragmented, which suggests that there is a need for a systematic review and evaluation of existing works. Adopting the conceptual vocabulary of the practice perspective, the authors review this literature in terms of what it reveals about (1) the practices adopted by new CEOs and other actors involved in the post‐succession process, (2) the properties of the key practitioners involved, and (3) the practical context of the post‐succession process. This review suggests that new CEOs are primarily involved in practices aimed at integrating the new CEO into the organization, and practices aimed at realigning the organization with its environment. The important insights that the existing literature affords are identified, and the gaps in this body of research are highlighted. On this basis, a concrete research agenda is developed in terms of topics, methodologies and theories.     

Institutional Predictors of and Complements to Industry Self‐regulation with Regard to Labor Practices

In recent years, there has been increasing managerial and academic attention given to a variety of mechanisms for companies to respond to stakeholder concerns about global business ethics. One area that merits further analysis is the role of industry‐level cooperation regarding issues in global business ethics such as labor practices. There are two main issues that we will address in this article: institutional pressures that predict when an industry will create a code of conduct and institutional complements for an industry‐level code of conduct to be “successful” with regard to responding to stakeholder concerns about international business operations. We offer a number of propositions—bringing together work from both the corporate social responsibility and (neo)institutional theory literatures—with regard to both predictors and complements of industry self‐regulation in reference to labor practices.     

The Influence of Service Orientation on B2B e‐Service Capabilities: An Empirical Investigation

E‐Services, or the company's portfolio of service offerings available to its customers through the Internet, are an emerging area of interest to operations management. Yet little is known about the operations and capabilities needed for provision of business‐to‐business (B2B) e‐services. This paper aims to make a contribution toward closing this gap. First, we develop a new construct of B2B e‐service capability, a term that captures a generic set of five interrelated and complementary dimensions: (1) e‐service recovery, (2) e‐customization, (3) ease of navigation, (4) service portfolio comprehensiveness, and (5) information richness. These combined operational abilities are associated with B2B service delivery, including its portal design, technology architecture, and mix of product and service offerings. They are posited to be necessary for delivering effective B2B e‐services. We also argue that, both service orientation (SO) and customer receptivity to technology, influence B2B e‐service capability. We empirically test a path model using structural equation modeling on a sample of 181 businesses that have deployed B2B e‐services. We find that the influence of SO on performance is not direct but rather mediated by the e‐service capability, a finding that holds for both goods producers and service providers. We suggest that a firm's SO may mitigate industrial customers' resistance toward conducting business online.