Competition in Markets and Competition for Markets

This paper builds on a distinction that is sometimes made between competition in a market and competition for a market. Competition for a market refers to the struggle to create a new market, or to erect a new standard, and it is usually associated with the process of innovation that brings new displacing technologies to market. Competition in a market is the conventional view of competition, and concentrates on the actions of incumbents and imitative entrants in well-established markets. The paper reviews some of the issues that competition for markets raises for anti-trust policy makers, and then asks whether competition for a market is a perfect substitute for competition in a market.     

Power moderates the impact of desire for exclusivity on luxury experiential consumption

This research examines the effect of desire for exclusivity on evaluations of luxury experiences and proposes a boundary condition for the effect. The scarcity effect literature suggests that consumers prefer scarce products due to limited supply because they appeal to consumers’ desire for exclusive consumption. Building on this thesis, the current research argues that luxury experiences are intrinsically scarce enough to appeal to consumers’ desire for exclusivity: Consumers with a strong desire for exclusivity will evaluate luxury experiences more favorably than those with a weak desire for exclusivity. A pilot study confirms a positive correlation between consumers’ desire for exclusivity and attitudes toward luxury experiences. Study 1 demonstrates that consumers with a strong desire for exclusivity show more favorable attitudes toward luxury experiences than those with a weak desire for exclusivity. Further, Study 2 finds that consumers’ power state (powerful vs. powerless) moderates the effect of desire for exclusivity on their affinity for luxury experiences: Only when feeling powerful do consumers with a strong desire for exclusivity evaluate luxury experience more favorably than those with a weak desire for exclusivity. However, this is not the case when consumers feel powerless.     

Real-Time Forecasting Revisited: Letting the Data Decide

Real-time GDP forecasting, also often known as “nowcasting,” produces estimates for current-quarter real GDP growth, typically based on a centered value from a set of estimates from incoming indicators. These real-time measures are usually intended to be data-based and to not be based on forecaster judgment or add factors. Even so, estimation methodologies in this research area—and prior versions of the system we use—typically have been constrained by using various “fixed” relationships, such as a fixed historical sample horizon and fixed empirical specifications for the indicator variables. This paper describes the methodology, estimation, and software code for a more flexible real-time GDP system that allows the data to decide the best real-time GDP forecast for varying sample horizons and varying specifications for each indicator variable through time. Our system uses data on key indicators as they become available (accounting for the “jagged-edge” nature of the data in the current quarter) to generate an estimate of current-quarter real GDP growth, with weights for combining the indicator-specific estimates as determined by the strength of the indicators’ historical relationships to GDP growth. The improved system searches across a variety of specifications and across sample horizons to choose the best specification as determined by a minimum Schwarz criterion test while also searching for the best sample horizon for minimizing the mean absolute error for a recent prediction period. We illustrate the operation of the system for real-time estimates of real GDP growth over a specific quarter, and examine the properties of the estimates and the implications for predictions. We also discuss potential additional applications and demonstrate a specific application for real-time predictions of the monthly change in payroll jobs.     

Determining the Key Factors of Customer–Brand Relationship Investment Dimensions: Insights From Malaysian Mobile Phone Users

This study aims to empirically test a scale to measure the dimensions of relationship investment. An exploratory factor analysis and reliability analysis were conducted on a sample of 150 mobile phone customers, whereas a confirmatory factor analysis was conducted on a sample of 539 customers. The results identified 2 dimensions each for customer and brand investment and validated the measurement items for each dimension. Thus, this study offers a sound scale for potential use in future studies and a useful tool for companies to use to diagnose and plan for an effective engagement strategy.     

Characteristics of a Logistics-Based Business Model

In companies where excellence in logistics is decisive for the outperformance of competitors and logistics has an outspoken role for the strategy of the firm, there is present what we refer to here as a “logistics-based business model.” Based on a multiple case study of three Nordic retail companies, the purpose of this article is to explore the characteristics of such a logistics-based business model. As such, this research helps to provide structure to logistics-based business models and identifies a way forward for companies for whom logistics and distribution are a major concern for the overall strategy of the firm.     

Aggregating Incomplete Individual Ratings in Group Resource Allocation Decisions

This paper addresses a decision to be made by a group of evaluators as to how to allocate a pool of monetary resources to a set of candidates. The group decision is an aggregation of the individual allocation recommendations by the evaluators. Evaluators may also be candidates to receive allocations and not allowed to vote a recommendation for themselves. Further, evaluators can elect to exclude some candidates from their evaluations because they do not believe they are qualified to judge some candidates. Two models are presented for aggregation of individual evaluations using the mean and median, respectively, as the basis for the group consensus. In circumstances where some evaluators do not recommend allocations for all candidates, the calculation of the mean recommendations requires the solution of a system of linear equations and the calculation of the median recommendations requires an iterative search algorithm. Conditions for existence of a group consensus allocation for each model are described and the strengths and weaknesses of each model are explored. The models can be applied to a variety of different group decisions, including rating of candidates for a job or allocating a budget.     

On the Benefits of Withholding Knowledge in Organizations

Transferring knowledge to an agent makes him more successful or productive, which is beneficial for the principal. However, knowledge transfer also increases the agent’s outside option. I identify two reasons for withholding knowledge — to reduce labor costs within a principal–agent relationship, and to weaken the agent in case of a separation. Moreover, the role of synergy is discussed both for building up a principal–agent relationship and for transferring knowledge. While synergy is decisive for knowledge transfer, cooperation between the principal and agent may even take place in the absence of synergy. Furthermore, I analyze whether the principal is more likely to transfer knowledge to a more able or to a less able agent. Finally, the advantages and disadvantages of a noncompetition clause are briefly discussed.     

Designing experiences strategically

Companies willing to enter into the experience economy have available procedures for experience design and evaluation but not for strategic decision-making on what experiences to incorporate into their offering. This study presents a procedure for identifying experiences and for assessing their customer value. The fieldwork consists of a logbook technique for experience identification and their subsequent strategic assessment considering people's perceptions of the influence each experience has in their quality-of-life, their interest in living each experience, and their previous knowledge of each experience. The paper focuses on experiences related to environmental design. In that setting, the procedure led to the identification of 13 different experiences. A clustering analysis identified six groups of experiences accordingly to the perception of 142 persons interviewed: experiences that have a ready market, experiences with a market to captivate, experiences with a potential market, experiences indifferent for a given market, experiences with lost clients and experiences that need a better adjustment to the market.     

Trustee decisions in investment and finance

When a trustee makes a decision for a client, a standard objective is to decide as the client would if he had the trustee's information. How can this objective be attained when, given the trustee's information, there is still uncertainty about the consequences of alternative courses of action? A promising approach is to apply the rule to maximize expected utility using the client's utilities for consequences and the trustee's probabilities for states. But taking utilities and probabilities from different sources causes a problem that has to be resolved. Briefly, the problem is that the client's utilities for consequences involve assessments of risks that are uninformed because he does not have informed probabilities. And the resolution of the problem is to reconstruct his utilities for consequences using a component due to risk that the trustee supplies for the client, and a component due to other consequences that the client supplies for himself.     

The moderating roles of shopper experience and store type on the relationship between perceived merchandise value and willingness to pay a higher price

In the retail domain, we consider the moderating influence of shopper experience (high versus low experience) and store type (high- versus low-priced stores) on a model that identifies three distinct routes (economic, affective and informational) from perceived merchandise value to willingness to pay a higher price. Each route accounts for a different outcome arising from merchandise value and leading to willingness to pay a higher price. Analyses of data obtained from a sample of 600 shoppers at four grocery stores provide results for specific hypotheses related to each moderator and each distinct route. The results of multiple sample analyses show that the economic route is stronger for high experience shoppers as well as for high-priced stores. Findings pertaining to hypotheses for moderation of both the affective and informational routes are mixed. We discuss the importance of these findings for retail managers as well as for future research.     

Vocational Virtue Ethics: Prospects for a Virtue Ethic Approach to Business

In this essay, I explore the prospects for a virtue ethic approach to business. First, I delineate two fundamental criteria that I believe must be met for any such approach to be viable: viz., the virtues must be exercised for the sake of the good of one’s life as a unitary whole (contra role-morality approaches) and for the common good of the communities of which one is a part as well as the individual good of their members (contra egoist approaches). Second, I argue that these two criteria can be met only if we are able to reconceive and transform the nature of work within contemporary business organizations. In particular, what is needed, I argue, is a retrieval of something like the older ideal of work as a “vocation”, or “calling”, whereby work can be viewed as a specific aspect of a more general calling to pursue, through the practice of the virtues, “the good life” both for ourselves and for others. Lastly, I consider some important challenges to this “vocational virtue ethic” approach to work within contemporary business organizations and offer a few suggestions for how they might be met.     

STRATEGIC SUPPLY CHAIN MAPPING APPROACHES

There are a number of compelling reasons to build a strategic supply chain map. However, widely accepted conventions for this kind of mapping do not yet exist. The strategic map provides a tool for linking corporate strategy to supply chain strategy and for helping to manage and modify the supply chain structure. Before the discipline addresses the process of building strategic supply chain maps, there is a need for mapping conventions and a framework for categorizing strategic supply chain maps.     

RECOVERING PORTFOLIO DEFAULT INTENSITIES IMPLIED BY CDO QUOTES

We propose a stable nonparametric algorithm for the calibration of “top‐down” pricing models for portfolio credit derivatives: given a set of observations of market spreads for collateralized debt obligation (CDO) tranches, we construct a risk‐neutral default intensity process for the portfolio underlying the CDO which matches these observations, by looking for the risk‐neutral loss process “closest” to a prior loss process, verifying the calibration constraints. We formalize the problem in terms of minimization of relative entropy with respect to the prior under calibration constraints and use convex duality methods to solve the problem: the dual problem is shown to be an intensity control problem, characterized in terms of a Hamilton–Jacobi system of differential equations, for which we present an analytical solution. Given a set of observed CDO tranche spreads, our method allows to construct a default intensity process which leads to tranche spreads consistent with the observations. We illustrate our method on ITRAXX index data: our results reveal strong evidence for the dependence of loss transitions rates on the previous number of defaults, and offer quantitative evidence for contagion effects in the (risk‐neutral) loss process.     

Food Safety and Consumers' Willingness to Pay for Labelled Beef in Spain

Abstract

The objective of this paper is to assess the quality/safety value for beef consumers, measuring their willingness to pay a price premium for labelled beef. From a survey conducted among food shoppers within the household, consumers are segmented according to their safety perception of specific food products. For each segment, their willingness to pay for labelled beef is calculated. Finally, the main factors explaining such a decision are considered. The results indicate that food scares, the perception of a negative impact of agricultural production on the environment and health concerns are having a major impact on the food consumer purchasing decisions for beef. However, most consumers are not willing to pay a price premium for labelled beef.     

汽车市场“以旧换新”大补贴

<正>在国家对燃油税进行改革的时候,你有买车、换车的冲动吗?那么宣布购置税减半政策的时候呢?如果再来一项汽车报废补贴政策呢?     

Absorptive capacity and R&;D tax policy: Are in-house and external contract R&;D substitutes or complements?

Firms fund research and development (R&;D) to generate commercializable innovations and to increase their ability to understand and absorb knowledge from elsewhere. This dual role and opposed incentive structure of internal R&;D create a significant question for both theory and R&;D policy: Is internal R&;D a complement or substitute for external R&;D? We develop a model and novel technique for empirically estimating R&;D substitution elasticities. We focus on bio-pharmaceutical and software industries in California and Massachusetts, where tax credit rates changed differently over time for the two types of R&;D, creating a natural experiment. The effective tax prices for the two R&;D types differ from type to type, firm to firm, state to state, and year to year. This allows us to examine changes in the composition of firms’ R&;D budgets between in-house R&;D and external basic research when the relative tax prices of each category of research change. We find evidence of a substitute relationship both for a sample comprising exclusively small firms as well as for a more general distribution of firm sizes.     

Data-based negotiator allocation management

Negotiation abilities are difficult to assess, and negotiation outcomes are difficult to predict. This leads to possible deficiencies in resource allocation for negotiation tasks. In this article, we discuss the merits of a data-based approach for the allocation of negotiators to negotiation tasks. We provide a framework for negotiation allocation management that includes a method for assessing negotiator strength. The negotiator strength measure compares observable negotiation outcomes relative to similar outcomes in similar situations. We provide examples for using our framework and show evidence for its appeal when using industry data. We discuss implications for managers and provide key takeaways.     

Advertising for New and Existing Brands: The Impact of Media Context and Type of Advertisement

The effects of advertisement and context type on the responses to advertisements for different brands of new and existing products were tested. In the first experiment (243 graduate students) a positive emotional advertisement and a non‐emotional advertisement for a well‐known and a new brand of printer were tested in a positive emotional context and a non‐emotional media context. In the second experiment (206 graduate students) positive emotional and non‐emotional advertisements for new brands of watches and healthy drinks were tested in an emotional and a non‐emotional context. The type of context moderated the responses to advertisements for the well‐known and new products: a positive emotional context led to a more positive attitude towards the advertisement and the brand and purchase intention for the well‐known brand than for the new brand. A non‐emotional context led to more positive responses for the new brand than for the well‐known brand. In general, emotional advertisements led to more positive affective reactions and non‐emotional advertisements led to more positive cognitive reactions. However, the type of advertisement did not have a moderating effect on the responses to advertising for the new or well‐known brands or different product types. The studies illustrated the relevance of media context for advertising new versus existing products.     

Discovering and Evaluating Collaboration Engineering Opportunities: An Interview Protocol Based on the Value Frequency Model

Collaboration Engineering (CE) is an approach to designing collaborative work practices for high-value recurring tasks and transferring those designs to practitioners to execute for themselves without the ongoing intervention of professional facilitators. Because CE projects can entail considerable cost, it would be useful to have a way to predict whether a group would be likely to adopt a collaborative work practice were one developed for them. In this paper we present an interview protocol for that purpose. Using the logic of the Value Frequency Model (VFM), we derived the protocol with two layers of questions. The first layer is for discovering potential collaboration engineering opportunities; the second is for evaluating the degree to which practitioners might be willing to adopt a new work practice were one offered. We used the protocol in two field studies; one with a team of experienced collaboration engineers working in the headquarters of a large multi-national organization, and one with a group of students with no CE experience working with a variety of for-profit and non-profit organizations in their community. The qualitative and quantitative outcomes of these studies suggest that the interview protocol may be a useful means for discovering and evaluating CE opportunities. Outcomes also provide support for VFM, the theory from which the protocol was derived.     

Administration of crowdfunding at Australian universities

Crowdfunding offers a new funding model for research activities at universities. It combines fundraising with public engagement and an entrepreneurial spirit. While universities might be expected to show enthusiasm for the possibilities of crowdfunding, support has not been widespread in Australia. Only a small number of Australian universities have provided active support for crowdfunding of research activities. Interviews with academics and administrators from two Australian universities with a history of providing strong support for research crowdfunding show that clear vision and firm leadership are required to overcome organizational inertia. Universities need to provide space for academics and administrators to innovate, try new approaches, and even fail as they learn whether crowdfunding works for them. Peer support and organized training can help academics as they seek to build an audience via social media engagement. Universities can also provide analysis of campaign progress and, in some cases, funding to support campaigns. The article concludes with best-practice advice for universities that wish to encourage research crowdfunding supported by a framework that describes a continuum of support, ranging from an outright ban to benign neglect to strong support for this new activity.