Mean-variance analysis of Quick Response Program

Quick Response Program (QRP) has been well established in fashion supply chains. It is known that QRP may not be equally good to all channel members and some measures have to be taken in order to achieve a win–win situation. However, little is known about the corresponding level of risk associated with QRP and some proposed measures. In light of this, we study QRP via a mean-variance (MV) approach. We illustrate how the measures such as price commitment policy, service-level commitment policy, and buy-back policy can be adjusted to achieve the MV win–win situation in which the channel members can be better off with considerations of both expected profit and risk. Numerical analyses are included and the analytical conditions for achieving both the supply chain channel coordination and the MV win–win situation are derived. Managerial insights are generated.     

Exploring dietary guidelines based on ecological and nutritional values: A comparison of six dietary patterns

The objective of this study was to explore the synergies between nutritionally healthy and ecologically sustainable diets. The aim was to explore the possibilities for future integrated dietary guidelines that support consumers to make informed dietary choices based on both ecological and nutritional values. We developed a score system for health and sustainability. Subsequently, we tested six different diets: current average Dutch, official ’recommended’ Dutch, semi-vegetarian, vegetarian, vegan and Mediterranean. For the sustainability rating, we used the Life Cycle Assessment, measuring the impacts on greenhouse gas emissions (GHG) and land use (LU). For the health rating, we used ten nutritional indicators. By comparing the overall scores we found that the consumption of meat, dairy products, extras, such as snacks, sweets, pastries, and beverages, in that order, are largely responsible for low sustainability scores. Simultaneously, these food groups contribute to low health scores. We developed a matrix that illustrates that the health and sustainability scores of all six diets go largely hand in hand. Fig. 1 provides a visualisation of the position of the six diets in the full health and sustainability spectrum. This matrix with scores can be considered a first step in the development of a tool to measure both sustainability and health issues of specific food patterns. In selecting the diets, we examined two directions: health focus diets and the animal protein reduction diets. The Mediterranean diet is generally the health focus option with a high sustainability score. We conclude that guidelines oriented in between the two directions (i.e., semi- and pesco-vegetarian) are the option with the optimal synergy between health and sustainability.     

Factors affecting the sustainability of telecentres in developing countries

Due to rapid technological changes, governments in developing countries have paid special attention to sustainability. However, understanding insights into the sustainability of telecentres remains an open question. This paper aims to fill this gap. We conducted a case study in Vietnam by using both qualitative and quantitative data. We used the Kumar and Best's (2006) model as our theoretical lens to analyse the sustainability of telecentres in Vietnam. The paper finds that telecentres have shifted their concept to provide a wide range of services, both online and offline. The paper indicates that technological, political, and social sustainability are important for the sustainability of telecentres. The paper recommends that we should take the role of state-owned enterprises and the digital transformation into consideration to sustain telecentres. Furthermore, the paper indicates the mutual relation between political and technical sustainability with social sustainability that has not been yet unveiled in the prior literature.     

A minimum cost flow model for level of repair analysis

Given a product design and a repair network for capital goods, a level of repair analysis determines for each component in the product (1) whether it should be discarded or repaired upon failure and (2) at which location in the repair network to do this. In this paper, we show how the problem can be modelled as a minimum cost flow problem with side constraints. Advantages are that (1) solving our model requires less computational effort than solving existing models and (2) we achieve a high model flexibility, i.e., many practical extensions can be added. Furthermore, we analyse the added value of modelling the exact structure of the repair network, instead of aggregating all data per echelon as is common in the literature. We show that in some cases, cost savings of over 7% can be achieved. We also show when it is sufficient to model the repair network by echelons only, which requires less input data.     

List Prices,Sale Prices and Marketing Time: An Application to U.S. Housing Markets

Many goods are marketed after first stating a list price, with the expectation that the eventual sales price will differ. In this article, we first present a simple model of search behavior that includes the seller setting a list price. Holding constant the mean of the buyers’ distribution of potential offers for a good, we assume that the greater the list price, the slower the arrival rate of offers but the greater is the maximal offer. This trade‐off determines the optimal list price, which is set simultaneously with the seller's reservation price. Comparative statics are derived through a set of numerical sensitivity tests, where we show that the greater the variance of the distribution of buyers’ potential offers, the greater is the ratio of the list price to expected sales price. Thus, sellers of atypical goods will tend to set a relatively high list price compared with standard goods. We test this hypothesis using data from the Columbus, Ohio, housing market and find substantial support. We also find empirical support for another hypothesis of the model: atypical dwellings take longer to sell.     

Open sustainability: Conceptualization and considerations

Sustainability represents a ‘grand challenge’, which can often not be addressed by actions of individuals or single organizations alone. To understand collaborative sustainability activities, in this article we propose the concept of open sustainability. We derive open sustainability from literature in the areas of sustainability, open approaches, and open innovation, and define the concept based on key tenets as follow: open sustainability refers to an orchestrated distributed process in which a focal company interacts with partners across organizational boundaries in order to better achieve its own (micro-level) sustainability objectives, its direct nets' (meso-level) sustainability objectives, and the broader networks' (macro-level) sustainability objectives, both short and long term. Based on this definition, we introduce the articles of our special section on open sustainability.     

Resource-constrained product development: Implications for green marketing and green supply chains

While academic debates and practical approaches to green marketing have matured over the past few decades, one central conundrum that has remained unresolved has been the trade-off between the higher prices of green products and the objectives of environmental sustainability. In general, it has been observed that green products are priced at a premium to account for their environmentally friendly consumption and use. We argue that resource-constrained product development approaches (alternatively labeled jugaad) that are observed in emerging countries such as China and India have the potential to change the traditional models of green product development. In addition to the competitive advantage that resource-constrained product development approaches provide, we suggest that these practices have sustainability and supply chain benefits. We show that the innovation process relies primarily on frugal engineering that reduces material use (thereby reducing burden on supply chain) and meets green marketing objectives at much lower, and therefore, more affordable prices. We draw out several implications for theory and practice.     

Information and reputation mechanisms in auctions of remanufactured goods

We investigate how feedback scores and alternative reputation mechanisms can mitigate asymmetric information in auctions of second-hand electronic items. In contrast to previous studies, we exploit the information available across heterogeneous goods and avoid the problems caused by different degrees of wear and tear by studying remanufactured products. We find the presence of relevant scale effects in the value of such reputation mechanisms that become complements or substitutes depending on the value of the transactions. Feedback scores are not valuable when alternative contractual devices are in place, such as refurbishment by a manufacturer-approved vendor and the availability of return policies. However, when we partition the sample according to the value of the auctions, feedback scores become effective for cheap items, whereas return policies are important for expensive goods.     

Managing Capacity in the High-Tech Industry: A Review of Literature

This article surveys a new generation of analytical tools for capacity planning and management, especially in high-tech industries such as semiconductors, electronics and bio-techs. The objectives of the article are to (1) identify fundamental theory driving current research in capacity management, (2) review emerging models in operations research, game theory, and economics that address strategic, tactical and operational decision models for high-tech capacity management, and (3) take an in-depth look at capacity-optimization models developed in the specific context of semiconductor manufacturing. The goal of this survey is to go beyond typical production-planning and capacity-management literature and to examine research that can potentially broaden capacity-planning research. For instance, we explore the role of option theory and real options in modeling capacity decisions. We not only examine capacity-planning problems from the perspective of a particular firm, but also the interaction of capacity investment among supply chain partners. Not only are these issues increasingly important in the fast-changing high-tech environment, they draw on new tools from different disciplines and pose significant intellectual challenges. We also examine papers that represent the multifaceted nature of high-tech capacity planning, integrating capacity decisions with issues related to contracting, coordination, sourcing, and capacity configurations.     

An inventory reservation problem with nesting and fill rate-based performance measures

In many inventory settings companies wish to provide customer-differentiated service levels. These may, for example, be motivated by differences in the perceived customer lifetime value or by specific contractual agreements. One approach to provide differentiated service levels is to reserve some portion of the available inventory exclusively for specific customer classes. Existing approaches to inventory reservation are typically based on the assumption that a company can assign a customer specific revenue or penalty cost to any order or unit of demand filled or unfulfilled. In practice, however, it is usually extremely difficult to accurately estimate (especially long term) monetary implications of meeting or not meeting customer demand and corresponding service level requirements. The research presented in this paper addresses the problem of setting appropriate inventory reservations for different customer classes based on fill rate-based performance measures. We model a single period inventory reservation problem with two customer classes and nesting. We develop exact expressions for two conflicting performance measures: (1) the expected fill rate of high priority customers and (2) the expected loss in the system fill rate induced by inventory reservation. With these expressions a decision maker can analyze the tradeoff between the loss in overall system performance and the higher expected fill rates for prioritized customers. We provide analytical insights into the effects of nesting and the impact of relevant problem parameters on these two performance measures. The analytical insights are illustrated and highlighted through a set of numerical examples. Although we limit our analysis to a single period inventory reservation problem, we expect that our results can be utilized in a wide range of problem settings in which a decision maker has to ration a perishable resource among different classes of customers.     

The incentives for takeover in oligopoly

We present a model of takeover where the target optimally sets its reserve price. Under relatively standard symmetry restrictions, we obtain a unique equilibrium. The probability of takeover is only a function of the number of firms and of the insiders' share of total industry gains due to the increase in concentration. Our main application is to the linear Cournot and Bertrand models. A takeover is more likely under Bertrand competition if goods are substitutes, and more likely under Cournot competition if goods are complements.     

Induced effects of smart food/agri-systems in Japan: Towards a structural analysis of information technology

The Japanese government decided to promote “smart society” in the 5th Science and Technology Basic Plan. The purpose of this research is to evaluate the effects of information and communication technology (ICT) in smart society by input-output analysis using the food industry and agriculture as examples. We define food production and agricultural activities utilizing ICT as a smart food-agri system, and try to analyze the effect of such a system on the economy as a whole. As a result, we confirmed that such a system has a large economic ripple effect on information sectors. At the same time, through these analyses, (1) we redefine information goods and service sectors, (2) we describe the new management sectors that are using these goods and services, but are not currently independent businesses, and (3) we clarify new industrial structure that exists in “smart society” using ICT.     

Why makers make what they make: motivations to contribute to open source hardware development

Open source software (OSS) and hardware (OSH) are two expressions of one broader concept and its related movement. One of the most fundamental questions relating to these phenomena is why developers contribute their private resources to these public goods. While this question has been discussed, theorized, and empirically investigated in the context of OSS, there has been no research so far in the context of OSH. Can we really assume the motivations behind the development of the OSH to be the same as those behind OSS? Based on the self-determination theory (SDT), we provide original insights into the motivations behind contributions to OSH development. We collected data from the most common and active 3D printing communities, which are the main loci of OSH development. We thus have a unique cross-sectional data set with participants from over 30 different countries using all kinds of different OSH platforms. Our analysis reveals several important findings: firstly, the motivations are in some aspects very similar to those in open source software notwithstanding different possibilities, hurdles, and incentives regarding the OSS and OSH. Above all, enjoyment-based intrinsic motivation is a major factor affecting contribution levels. Secondly, among internalized extrinsic motivations, expected private benefits through improving own skills stands out. Thirdly, different factors of internalized extrinsic motivations can have different moderating effects on the effect of enjoyment-based intrinsic motivation. Given the imminent changes in business models throughout manufacturing industries in order to adapt to the challenge that OSH will increasingly pose, our findings have important implications not only for OSH communities and 3D development platforms, but also for businesses that want and probably soon have to engage in open innovation.     

Value creation and value capture with frictions

We use a formal value‐based model to study how frictions—incomplete linkages in the industry value chain that keep some parties from meeting and transacting—affect value creation and value capture. Frictions arise from search and switching costs and moderate the intensity of industry rivalry and the efficiency of the market. We find that firms with a competitive advantage prefer industries with less, but not zero, frictions. We show that rivalry interacts nontrivially with other competitive forces to affect industry attractiveness. Firm heterogeneity emerges naturally when we introduce resource development. Heterogeneity falls with frictions, but the sustainability of competitive advantage increases. Overall, we show that introducing frictions makes value‐based models very effective at integrating analyses at the industry, firm, and resource levels. Copyright © 2011 John Wiley & Sons, Ltd.     

House Prices and Inflation

The present paper examines the long-run impact of inflation on homeowner equity by investigating the relationship between house prices and the prices of nonhousing goods and services, rather than return series and inflation rates as in previous empirical studies on the inflation hedging ability of real estate. There are two reasons for this methodological departure from prior practice: (1) while the total return on housing cannot be accurately measured, the total return on housing is fully reflected in housing prices, and (2) given that using returns or differencing a time series leads to a loss of long-run information contained in the series, valuable long-run information can be captured by using prices. Also, unlike previous related studies, we exclude housing costs from goods and services prices to avoid potential bias in estimating how inflation affects housing prices. Monthly data series are collected for existing and for new house prices as well as the consumer price index excluding housing costs for the period 1968–2000. Based on both autoregressive distributed lag (ARDL) models and recursive regressions, the empirical results yield estimated Fisher coefficients that are consistently greater than one over the sample period. Thus, we infer that house prices are a stable inflation hedge in the long run.     

A Stackelberg model of pricing of complementary goods under information asymmetry

We consider a duopoly market where two separate firms offer complementary goods in a leader–follower type move. Each firm has private forecast information about the uncertain market demand and decides whether to share it with the other firm. We show that information sharing would benefit the leader firm but hurt the follower firm as well as the total system if the follower firm shares information unconditionally. We then devise a “simple to implement” information sharing scheme under which both firms and the total system are better off. We also provide several interesting managerial insights and establish the robustness of the model in managing a supply chain through our analytical and simulation results.     

The Urban Homeowner's Residential Location Decision in an Asset-Pricing Context

Homeowners determine the maximum site bid price for homeowner housing within a two-period expected-utility model. The bid price is a function of the expected cash flows to sites, the quantity of housing consumed and a relocation option. The bid price is derived in the general case as a function of the homeowner's portfolio risk, including the total risk to the site, and the market price of risk. The bid price is derived under a spatial measure as a function of distance from an arbitrary location. Specific results are obtained when the household experiences log-linear utility for housing and other goods. Use of the market price of risk simplifies analytical solutions to the bid price equation.     

Sustainably superior versus greenwasher: A scale measure of B2B sustainability positioning

Business-to-business (B2B) buyers are finding it increasingly difficult to judge the true sustainability of supply chain partners (Oruezabala & Rico, 2012). Yet three-quarters of buyers in the OECD report they will dismiss potential supply chain partners who fail to meet sustainability criteria (Pierre, 2008). B2B firms then, cannot afford any confusion over their sustainability practices and positioning. Unfortunately, there are no sustainability positioning measures for firms to assess this, and there is no agreed upon operationalization of a highly sustainable firm vs a weakly sustainable firm. As such, this research creates a B2B sustainability positioning scale and taxonomy. First, interviews with buyers and marketing managers determine perceptions of supplier sustainability practices and defines B2B levels of sustainability. Second, exploratory and confirmatory scale development studies are conducted with 578 experienced industrial buyers. The resulting B2B sustainability positioning scale shows that a sustainably superior positioning for B2B addresses five key factors: (1) sustainability credibility, (2) concern for environmental impact, (3) a careful consideration of stakeholders, (4) resource efficiency, and (5) a holistic philosophy. This scale is intended as a tool to help B2B marketers understand and better leverage their sustainability practices and communications around sustainability.“We're trying to be cleaner and greener: We recycle waste and switch things off. We use paper from responsibly managed forests whenever possible. We ask our printers to actively reduce waste and energy consumption. We check out our suppliers' working conditions...”– The back jacket of books from DK Publishers, 2018.     

Coordination of a production network with a single buyer and multiple vendors

This article considers a single buyer sourcing a single product from a network of homogeneous suppliers. We assume a close and cooperative relationship between buyer and vendors and suggest two coordination mechanisms, which differently affect where inventory is held in the system. Accordingly, we derive analytical and heuristic solutions for both alternatives and study the relative advantage of the models in a sensitivity analysis. Finally, propositions for future research are presented.     

The sustainability syndicate: Shared responsibility in a trans-organizational business model

This paper proposes design principles for the ‘sustainability syndicate’: shared responsibility among diverse stakeholders for sustainability; an agenda for unifying economic and ethical rationales; and plural governance based primarily on markets, contracts and collaborative relationships. The paper suggests a research agenda directed at issues that constrain sustainability syndicates. Syndication's contributions to sustainability build upon its trans-organizational structures for shared responsibility. Syndication works as an insurance cooperative that reduces the financial burden of risk. In addition, members could rent skill sets from other stakeholders, reduce barriers to entry into bigger projects, and improve efficiencies. As underlying sustainability are both economic and ethical rationales for shared responsibility, sustainability syndicates induct diverse non-commercial stakeholders into inclusive settings. A unifying agenda in these settings, as it grapples with externalities and constructs welfare-enhancing solutions, enhances sustainability brand differentiation. Plural self-governance, as it corrects for failures of individual self-governance modes, enables market making and market access, reduces transaction costs in contracting, and enables members to build the trust and commitment necessary for collaborations. Sustainability syndicates obviate the need for command-and-control interventions. Although institutional, performance and instrumental constraints still remain, syndicate business models offer potentially game-changing strategies in sustainability marketing.