Explicit filters and supply chain design

Due to the complexity of present day supply chains it is important to select the simplest supply chain scheduling decision support system (DSS) which will determine and place orders satisfactorily. We propose to use a generic design framework, termed the explicit filter methodology, to achieve this objective. In doing so we compare the explicit filter approach to the implicit filter approach utilised in previous OR research the latter focusing on minimising a cost function. Although the eventual results may well be similar with both approaches it is much clearer to the designer, both why and how, an ordering system will reduce the Bullwhip effect via the explicit filter approach. The “explicit filter” approach produces a range of DSS designs corresponding to best practice. These may be “mixed and matched” to generate a number of competitive delivery pipelines to suit the specific business scenario.     

Developing breakthrough products: challenges and options for market assessment

Competitive pressures and market forces are augmenting the importance of product innovation as a source of competitive advantage. Key drivers underpinning market success have the capacity to develop the “right” products for the “right” customers, using the “right” channels, with a shorter development cycle than competitors. But when breakthrough products (BTPs) are involved, how do we sort out what is “right”? How do we identify customers' future requirements when the technology platforms are still unfolding, products are still in development and customers lack experience with the product? Traditional product development market research techniques are problematic since they assume the customer has historical experience with products similar to those being created. The objective of this paper is to raise the awareness of the OM community with the strengths and weaknesses of existing methodologies for developing and introducing innovative products to market. Further, it suggests promising future directions for both practice and research when BTPs are involved. This is important because of the central role OM plays in managing the success of the BTP development process.     

Use transnational teams to globalize your company

The authors report on their two-year study of successful transnational teams, in which they examined how such teams are designed and managed to help their firms pursue global business strategies. Based on this study, they present a comprehensive model of team effectiveness that includes the key characteristics differentiating a transnational team from other types of work teams. The model shows how transnational teams operate—how they are staffed and led, communicate across great distances, and cope with cross-cultural issues. In closing, they describe how a company's human resources department can help an “international” or “multinational” team become a “transnational” team—one that has successfully transcended the cultural, geographic, and managerial barriers to team effectiveness.     

Antecedents of supply chain visibility in retail supply chains: A resource-based theory perspective

Although visibility has become a popular buzzword in the supply chain literature it remains an ill-defined and poorly understood concept. It is assumed that if companies across supply chains have visibility of demand, inventory levels, processes, etc., that organizational performance improves. This research explores the antecedents of high levels of supply chain visibility from a resource-based theory perspective across five different external supply chain linkages. We find that the level of visibility across these linkages differs considerably based on various contributing factors which are both technology and non-technology based. Using resource-based theory, we identify those factors that can give a sustainable competitive advantage to a supply chain linkage through a “distinctive” or high level of visibility.     

The block metric and the law of markets

The “Law of Markets” as originally stated by Fetter and amended by Hyson and Hyson is based on the assumption that the transportation of goods is along a line segment from firm to customer. In many situations the assumption that transportation is along a block-like network of roads is a better approximation of reality. In this paper we establish the “law of markets” appropriate to the block metric. We discover that with such a metric there exist significant discontinuities in a firm's demand functions and we argue that these discontinuities have important implications for the types of competitive strategies open to firms.     

Subprime lending and the housing bubble: Tail wags dog?

The cause of the “housing bubble” associated with the sharp rise and then drop in home prices over the period 1998–2008 has been the focus of significant policy and research attention. The dramatic increase in subprime lending during this period has been broadly blamed for these market dynamics. In this paper we empirically investigate the validity of this hypothesis vs. several other alternative explanations. A model of house price dynamics over the period 1998–2006 is specified and estimated using a cross-sectional time-series data base across 20 metropolitan areas over the period 1998–2006. Results suggest that prior to early 2004, economic fundamentals provide the primary explanation for house price dynamics. Subprime credit activity does not seem to have had much impact on subsequent house price returns at any time during the observation period, although there is strong evidence of a price-boosting effect by investor loans. However, we do find strong evidence that a credit regime shift took place in late 2003, as the GSE’s were displaced in the market by private issuers of new mortgage products. Market fundamentals became insignificant in affecting house price returns, and the price-momentum conditions characteristic of a “bubble” were created. Thus, rather than causing the run-up in house prices, the subprime market may well have been a joint product, along with house price increases, (i.e., the “tail”) of the changing institutional, political, and regulatory environment characteristic of the period after late 2003 (the “dog”).     

A fuzzy-QFD approach to supplier selection

This article suggests a new method that transfers the house of quality (HOQ) approach typical of quality function deployment (QFD) problems to the supplier selection process. To test its efficacy, the method is applied to a supplier selection process for a medium-to-large industry that manufactures complete clutch couplings.The study starts by identifying the features that the purchased product should have (internal variables “WHAT”) in order to satisfy the company's needs, then it seeks to establish the relevant supplier assessment criteria (external variables “HOW”) in order to come up with a final ranking based on the fuzzy suitability index (FSI). The whole procedure was implemented using fuzzy numbers; the application of a fuzzy algorithm allowed the company to define by means of linguistic variables the relative importance of the “WHAT”, the “HOW”–“WHAT” correlation scores, the resulting weights of the “HOW” and the impact of each potential supplier.Special attention is paid to the various subjective assessments in the HOQ process, and symmetrical triangular fuzzy numbers are suggested to capture the vagueness in people's verbal assessments.     

Evaluating shifts in Japan's quality-of-life

This paper presents a Data Envelopment Analysis/Malmquist index (DEA/MI) analysis of the change in quality-of-life (QOL), which is defined as the state of a social system as measured by multiple social-indicators. Applying panel data from Japan's 47 prefectures for the period 1975–2002, we identify significant movement in the country's overall QOL using a “cumulative” frontier shift index. Results suggest that Japan's QOL rose during the so-called “bubble economy years” (second half of the 1980s), and then dropped in the succeeding “lost-decade” (1990s). We also identify those prefectures considered most “responsible” for the shift(s) in QOL. Moreover, the use of both upper- and lower-bound DEAs enabled an evaluation of both “good” and “bad” movements in QOL.     

Decentralized Welfare: Will There Be Underprovision?

This paper develops an Asymmetric Nash Equilibrium model of welfare provision by states when the benefit payment is a local public good and a fixed population of welfare recipients distributes itself between states with logistic “migration” function. The model shows that state size is an important demand shifter across states because it alters the supply elasticity of recipients. The model provides estimates of how the degree of benefit under provision varies with this migration elasticity. Other demand instruments (such as taxpayer resources and “generosity”) likewise generate positive correlation between benefits and recipients, while supply shifters generate negative correlation between benefits and recipients. The model's predictions are closely matched empirically, when examining the reduced form impact of these instruments on the pattern of welfare benefits and recipients across states. Using these impacts to assign the instruments to either supply or demand sides of the model, it is possible to estimate the model's structural elasticities. These turn out to be high enough so that simulated solutions to the model generate considerable welfare underprovision and thus raise concern about a race to the bottom with decentralized control over AFDC.     

Levels of strategic purchasing: Impact on supply integration and performance

The growing importance of supply chain management has led to an increasing recognition of the strategic role of purchasing, which has recently evolved and expanded from “buying” to “procurement” and “supply management”. In this study, we chart our sample firms’ advance in strategic purchasing, characterized by the strategic focus, strategic involvement of the purchasing function and the status and visibility of the purchasing professionals, into three stages.This study provides strong empirical support for the importance of strategic purchasing by showing that, by moving towards the more advanced stages, firms at the nascent stage of strategic purchasing can achieve better supply integration, a second-order construct composed of four facets of relational, process, information, and cross-organizational team integration. Our analyses further reveal that strategic purchasing can have a profound impact on supply chain performance for both buyer and supplier firms.     

Microworlds and Simuworlds: Practice fields for the learning organization

Management is one of the few professions, the authors note, in which members have no formal “rehearsal space” for honing their skills. In response to this need, organizations such as The Center for Creative Leadership, MIT's Learning Center, and The Stern School of Business at New York University have created a brave new world of management simulations—“practice fields” for the learning organization. Some of these new games (“simuworlds”) use computer programs to replicate an entire industry and give participants an opportunity to play out one company's strategy in that setting. Other simulations (“microworlds”) engage participants in complex behavioral role playing, based on scenarios that typically develop within a company. Still other simulations combine both approaches. The authors take their point of departure from Peter Senge's definition of the “learning barriers” that develop in any organization: solving fragmented “problems” rather than dealing with systemic issues; overemphasis on competition at the expense of cooperation; and a failure to innovate until forced to do so. The new simulations, the authors argue, are particularly useful in helping managers learn how to overcome these barriers.     

“100% EDI-connected suppliers” projects: An empirical investigation of success factors

Electronic Data Interchange (EDI) is becoming increasingly important, and new organizational forms based on EDI suppliers’ capabilities are emerging. Therefore, taking advantage of recent technological changes, especially the development of Web-based EDI systems, many big industrial buyers are seeking to get all their suppliers EDI-connected. Based on previous research on EDI adoption, we conducted a survey to study the opportunities of success of such a “100% EDI-connected suppliers” policy using data from the vehicle industry. Findings from our survey helped us to understand suppliers’ responses to such a policy and to provide recommendations to industrial buyers who are seeking to succeed in a “100% EDI-connected suppliers” project. This includes employing tailored communication strategies and selecting appropriate incentives that take into account different levels of suppliers’ EDI-capabilities and suppliers’ dependence.     

The frontiers of eBusiness technology and supply chains

This article is an Introduction to this Special Issue on “eBusiness and Supply Chain Management.” It also provides a vision for eBusiness and supply chain for the future.     

Integrating sustainable development in the supply chain: The case of life cycle assessment in oil and gas and agricultural biotechnology

It is widely accepted that firms play an important stewardship role in addressing sustainable development concerns. A key challenge in this role is to balance the often conflicting pressures created by sustainable development—firm-level economic performance versus environmental degradation and social disruption. Drawing on complexity theory, risk management, stakeholder theory and the innovation dynamics literature, we discuss the problems of integrating sustainable development concerns in the supply chain, specifically the applicability of life cycle assessment (LCA). Many authors have emphasized the importance of the “cradle to grave” approach of LCA in optimizing closed-loop supply chains, improving product design and stewardship. Based on two case studies (an agricultural biotechnology and an oil and gas company) with supporting data collected from key stakeholders, we argue that sustainable development pressures have increased complexities and presented ambiguous challenges that many current environmental management techniques cannot adequately address. We provide a framework that addresses these deficiencies and discuss implications for practitioners and management theory.     

Diagnoses by general practitioners: Accuracy and reliability

Only 10% of the results of consultations in primary care can be assigned to a confirmed diagnosis, while 50% remain “symptoms” and 40% are classified as “named syndromes” (“picture of a disease”). Moreover, less than 20% of the most frequent diagnoses account for more than 80% of the results of consultations. This finding, confirmed empirically during the last fifty years, suggests a power law distribution, with critical consequences for diagnosis and decision making in primary care.Our results prove that primary care has a severe “black swan” element in the vast majority of consultations. Some critical cases involving “avoidable life-threatening dangerous developments” (ALDD) such as myocardial disturbance, brain bleeding, and appendicitis may be masked by those often vague symptoms of health disorders ranked in the 20% most frequent diagnoses. The Braun distribution predicts the frequency of health disorders on a phenomenological level and reveals the “black swan” problem, but is not a tool by itself for arriving at accurate diagnoses. To improve predictions and enhance the reliability of diagnoses we propose standards of documentation and a systematic manner by which the risk facing a patient with an uncertain diagnosis can be evaluated (diagnostic protocols).Accepting a power law distribution in primary care implies the following: (1) primary care should no longer be defined only by “low prevalence” properties, but also by its black-swan-incidence-problem. This includes rethinking malpractice and the requirements of malpractice litigations; (2) at the level of everyday practice, diagnostic protocols are tools to make diagnoses more reliable; (3) at the level of epidemiology, Braun’s system of classification is useful for generating valid information by which predictions of risks can be improved.     

Business formation — a network approach

This article suggests that the key to entrepreneurial success is to be found in the ability to develop and maintain a personal network. In elaborating this proposition I regard the environment of the business venture as “enacted”. The inexperienced new entrepreneur needs support to create a personal network and to manage the enacted environment. The concept of the “organizing context”, defined as a clustered sociocentric network, is introduced to provide a tool with which the entrepreneur can deal more efficiently with the different subprocesses that create his or her reality. The approach supplies a framework within which various forms of entrepreneurship — indigenous, corporate, etc. — can be compared and analysed beyond their institutional differences. The interaction between various forms of entrepreneurship and organizing contexts is empirically illustrated from case studies.     

Does pay affect productivity or react to it?: Examination of U.S. manufacturing

There may be a bi-directional relationship between wages and labor productivity. According to conventional theory, employers reward improvements in productivity by raising pay. It also has been argued that wage increases can provide an incentive to improve productivity. This study applies a technique by Geweke to identify the feedback between pay and productivity in U.S. manufacturing. For the 1949–1998 period, measures of directional feedback indicate that both “pay as reward” and “pay as incentive” behaviors have occurred, but the results vary across manufacturing subsectors.     

Optimization tools for design and marketing of new/improved products using the house of quality

Quality function deployment (QFD) has helped many firms realize significant reduction in product design costs and development time. The QFD process includes ranking customer preferences, rating the competitors, and parts deployment for the new/improved product. Prior to this research, such activities have been performed based on expert opinion, or the “best-in-class” approach. We develop and solve optimization models for the identification of consensus rankings and ratings, that take into account the priorities and perceptions of all the customers in a target market. Then, based on the consensus rankings, we identify a parts mix for the new/improved product that satisfies a budget constraint and matches or exceeds the performance expectations of all customers surveyed in the target market. Finally, we show how the QFD charts can be used to identify competitors that are falsely perceived as superior, as well as areas where the firm's marketing strategies have had the desired effects. Such insights are useful in developing the future marketing strategy of the firm.     

Forecasting with vector autoregressive (VAR) models subject to business cycle restrictions

In the last decade VAR models have become a widely-used tool for forecasting macroeconomic time series. To improve the out-of-sample forecasting accuracy of these models, Bayesian random-walk prior restrictions are often imposed on VAR model parameters. This paper focuses on whether placing an alternative type of restriction on the parameters of unrestricted VAR models improves the out-of-sample forecasting performance of these models. The type of restriction analyzed here is based on the business cycle characteristics of U.S. macroeconomic data, and in particular, requires that the dynamic behavior of the restricted VAR model mimic the business cycle characteristics of historical data. The question posed in this paper is: would a VAR model, estimated subject to the restriction that the cyclical characteristics of simulated data from the model “match up” with the business cycle characteristics of U.S. data, generate more accurate out-of-sample forecasts than unrestricted or Bayesian VAR models?     

Manufacturing strategy: Its assessment and practice

In recent years, the subject of manufacturing strategy has attracted much attention, yet it is still a relatively unresearched area. Among practitioners, unlike the term “marketing strategy,” the term “manufacturing strategy” does not have instant recognition as to its meaning, purpose, and utility.For continued progress in the research and practice of manufacturing strategy, there is a real need for practical methods of assessing the manufacturing strategy of businesses. For example, for practitioners, the assessment of manufacturing strategy is essential to the development, fine tuning, revision, and evaluation of manufacturing strategy.This study presents a method of assessing the manufacturing strategy of businesses. In the process of assessing the manufacturing strategy in thirty-five manufacturing firms, this study found several problems with the practice of manufacturing strategy and recommends some solutions.It has been reported by researchers that the task of assessing manufacturing strategy is often hampered by a lack of understanding of the term manufacturing strategy and the absence of explicitly denned manufacturing strategies within most manufacturing firms. Consequently, this study assessed the implied manufacturing strategy in the participating firms using the responses of both chief executives or equivalents and manufacturing managers. To overcome nonuniform understanding of the term among executives, multiple respondents and multiple methods using several direct and indirect questions were employed to get as good a fix on the manufacturing strategies of the firms as possible.It was found that while chief executives stressed quality, technology, etc., which would contribute to a business level strategy based on product differentiation, manufacturing managers stressed cost, and the keeping of delivery promises. This mismatch of emphasis between the two executives could be a sign of problems in the effective use of the manufacturing function.A major conclusion of this study is that executives in manufacturing firms are not sufficiently “literate” in matters concerning manufacturing strategy. However, this deficiency could be easily corrected by appropriate training in assessing, formulating, and implementing manufacturing strategy.The method used in this study for assessing manufacturing strategy could be used by chief executives and manufacturing managers to identify their implied manufacturing strategy, and to detect agreements as well as disagreements between the two. Further, the method used here could be replicated by executives in developing or reviewing the formal manufacturing strategies of their businesses.