A relationship strategy perspective on relationship portfolios: Linking customer profitability,commitment, and growth potential to relationship strategy

The paper develops a three-dimensional portfolio model for business relationships which distinguishes among six different categories. Based on assessments of customer profitability, customer commitment, and growth potential, the positioning of a given customer relationship in the portfolio allows managers to determine appropriate customer relationship strategies and appropriate performance indicators. Results from applying the portfolio model are reported and managerial implications and future research are discussed.     

项目组合选择研究：基于模糊理论的模型建构及验证

项目组合的选定与企业经营息息相关,然而传统的选择方法存在许多限制。本文应用模糊理论建构一个项目组合的决策模型,模型中纳入了成本、利润及风险等3个决策因子,探讨在资源有限的情况下项目成本及获利的交互影响关系,并利用模糊归属函数建构一个数学规划模型。为了验证模型的有效性,用此模型与传统模型进行求解比较,证实了所提出模型的实用性。     

Variable neighborhood search heuristic for nonconvex portfolio optimization

Abstract

In this article we consider a portfolio optimization problem under multiple real-world constraints, such as: cardinality constraints, tracking error, active share, and turnover. We propose a heuristic based on variable neighborhood search (VNS) that effectively addresses additional constraints that introduce non-convexities. In the VNS-based heuristic, several neighborhood structures are introduced and fast local search is implemented. We develop a VNS portfolio rebalancing framework (VNS-PRF) with two rebalance strategies. Data sets provided by a financial investment firm are used to evaluate the validity and reliability of the proposed VNS-PRF. Computational experiments and different portfolio performance measures indicate that our approach is able to obtain solutions with competitive quality and can be applied on large-scale data sets.     

Present Worth of Interest Tax Credits

The widely used concept of a cash flow per project in capital budgeting has serious weaknesses when resources are shared by different projects. Accordingly, the concept of cash flow per project is not used herein. Instead, the project portfolio approach is used in which costs are considered only in the acquisition and utilization of resources; when these costs actually occur. The main conclusion from this approach is that better capital budgeting decisions can be made if the concept of cash flow per project is avoided when resources are shared.     

New Product Portfolio Management: Practices and Performance

Effective portfolio management is vital to successful product innovation. Portfolio management is about making strategic choices—which markets, products, and technologies our business will invest in. It is about resource allocation—how you will spend your scarce engineering, R&D, and marketing resources. It focuses on project selection—on which new product or development projects you choose from the many opportunities you face. And it deals with balance—having the right balance between numbers of projects you do and the resources or capabilities you have available. In this article, the authors reveal the findings of their extensive study of portfolio management in industry. This study, the first of its kind, reports the portfolio management practices and performance of 205 U.S. companies. Its overall objective was to gain insights into what portfolio methods companies use, whether they are satisfied with them, the performance results they achieve with the different approaches, and suggestions for others who are considering implementing portfolio management. The research first assesses management's satisfaction with portfolio methods they employ and notes that some firms face major problems in portfolio management. Next, businesses are grouped or clustered into four groups according to management's view of portfolio management: Cowboys, Crossroads, Duds, and Benchmark businesses. The research first assesses management's satisfaction with portfolio methods they employ and notes that some firms face major problems in portfolio management. Next, businesses are grouped or clustered into four groups according to management's view of portfolio management: Cowboys, Crossroads, Duds, and Benchmark businesses. Various performance metrics are used to gauge the performance of the business's portfolio. The results reveal major differences between the best and the worst. Benchmark businesses are the top performers. Their new product portfolios consistently score the best in terms of performance—high-value projects, aligned with the business's strategy, the right balance of projects, and the right number of projects. The authors take a closer look at these benchmark businesses to determine what distinguishes their projects from the rest. Benchmark businesses employ a much more formal, explicit method to managing their portfolio of projects. They rely on clear, well-defined portfolio procedures, they consistently apply their portfolio method to all projects, and management buys into the approach. The relative popularity of various portfolio methods—from financial methods to strategic approaches, bubble diagrams, and scoring approaches—are investigated. Not surprisingly, financial approaches are the most popular and dominate the portfolio decision. But what is surprising is the dubious results achieved via financial approaches. Again, benchmark businesses stand out from the rest: they place less emphasis on financial approaches and more on strategic methods, and they tend to use multiple methods more so than the rest. Strategic methods, along with scoring approaches, yield the best portfolios; financial methods yield poorer portfolio results. The authors provide a number of recommendations and suggestions for anyone setting out to implement portfolio management in their business.     

Using column generation to solve extensions to the Markowitz model

Abstract

We introduce a solution scheme for portfolio optimization problems with cardinality constraints. Typical portfolio optimization problems are extensions of the classical Markowitz mean–variance portfolio optimization model. We solve such types of problems using a method similar to column generation. In this scheme, the original problem is restricted to a subset of the assets resulting in a master convex quadratic problem. Then the dual information of the master problem is used in a subproblem to propose more assets to consider. We also consider other extensions to the Markowitz model to diversify the portfolio selection within given intervals for active weights.     

Two-step multi-criteria model for selecting optimal portfolio

In spite of a large number of multi-criteria models applied to solve the problem of optimal portfolio selection and a large number of market criteria and accounting criteria proposed for these models, the problem of portfolio containing securities from different industries has not yet been adequately solved. Namely, neither can stocks of companies from different industries be compared using the same criteria nor can the weight of a particular criteria be equal for them all. Therefore this paper develops a new two-step model that will overcome the shortcomings of the previously used models. The model is divided into two different but related pillars: the choice of different industries to form the overall portfolio and the choice of portfolio for each industry. The multi-criteria model used in this paper is a modified multi-criteria programming model based on the PROMETHEE II approach. The selected model has been applied at the Zagreb Stock Exchange (ZSE) as a real case.     

A marginal analysis guided technology evaluation and selection

Making decisions on strategic investments, such as early stage manufacturing technology (MT), is a complicated task. Early stage technologies are usually costly, and surrounded by uncertainty. The potential benefits are often hard to quantify prior to implementation. Thus, how could managers make good decisions in a high-risk, technically complex business when the information they need to make those decisions comes largely from the project champions who are competing against one another for resources? Traditionally, in this problem domain, decisions are made based upon gut-feeling and past experience, sometimes with the support of some multi-criteria decision-support tools. The criteria evaluation process is very subjective and relies heavily on managers’ experience, knowledge, as well as intuition. Thus, the evaluation approach is often not effectively carried out as there is lack of visibility and traceability in the decision making process. The impact of this scenario is that managers are not confident that resources are being optimised and applied to a mixed portfolio of projects to maximise benefits. This paper proposes a marginal analysis directed branch and bound approach for evaluating and selecting early stage manufacturing technology (MT) projects. A case study is used to demonstrate the application of the proposed approach. Implications of the proposed approach to practitioners and academia are discussed and future research outlined.     

Innovation Field Orientation and Its Effect on Innovativeness and Firm Performance

New product development (NPD) has become a prime source for gaining a competitive edge in the market. Although a large body of research has addressed the question of how to successfully manage individual innovation projects, the management of a firm's new product portfolio has received comparably less research attention. A phenomenon that has recently emerged on the research agenda is innovation field orientation. Such orientation is understood as the deliberate setup and management of multiple thematically related NPD projects. However, the facets and effects of innovation field orientation are still unexplored. In particular, this study is interested in (1) developing a concept of innovation field orientation, (2) investigating the extent to which innovation field orientation is an established part of the corporate strategic planning practice, and (3) assessing the direct and indirect performance effects of innovation field orientation. For the empirical analysis, data were collected through a mail survey and document analyses from 122 publicly listed firms. Tobin's q was used as an objective performance metric directly related to shareholder value. The results confirm that innovation field orientation is a phenomenon that prevails in practice. In addition, all defining aspects of this orientation have either direct or indirect effects on firm performance. Hence, those firms that deliberately specify and manage innovation fields have a more innovative product portfolio and are more successful than others. Specifically, the findings underline the performance relevance of formally framing innovation fields and assigning a critical mass of resources to them. In addition, empirical support is lent to the suggestion that innovation field orientation has strong indirect performance effects mediated by the innovativeness of the firm's new product portfolio. This implies that firms that deliberately specify focus areas, assign resources to, provide organizational framing for, and stimulate synergies between related NPD projects stand a better chance to achieve a more innovative new product portfolio. This again is highly appreciated by investors and results in a superior stock market evaluation of these firms.     

Network resource stocks and flows: how do alliance portfolios affect the value of new alliance formations?

We examine how new network resources accessed through alliance formations interact with network resources present in a firm's alliance portfolio. We test our theoretical model using event study methodology and data from the global air transportation industry. We find that the market rewards firms forming alliances that contribute resources that can be synergistically combined with firms' own resources as well as with network resources accessed through their alliance portfolios. Our results also indicate that the market penalizes firms entering into alliances that create resource combinations that are substitutes to resource combinations deployed by existing alliance partners. Copyright © 2011 John Wiley & Sons, Ltd.     

Real Estate Investment Funds: Performance and Portfolio Considerations

This paper presents the results of a study dealing with a number of issues regarding real estate investment. Utilizing a data set consisting of returns from two of the oldest, continuously operating commingled real estate funds (CREFs), questions relative to investment performance, inflation hedging attributes and diversification benefits are addressed. The methodology used in exploring these issues are variants of the traditional capital asset pricing model (CAPM), extended to consider uncertain inflation (CAPMUI) and an arbitrage pricing model in which real estate performance is judged relative to a more inclusive market index representing larger numbers of substitute investments. Finally, issues relative to portfolio performance are considered by constructing portfolios containing all possible combinations of real estate, stocks and bonds to assess the potential for diversification benefits and portfolio performance.     

Resource ambidexterity through alliance portfolios and firm performance

Research summary : Partner resources can be an important alternative to internal firm resources for attaining dual and seemingly incompatible strategic objectives. We extend arguments about managing conflicting objectives typically made at the firm level to the level of a firm's alliance portfolio. Specifically, will a balance between revenue enhancement and cost reduction attained collectively through partner resources accessed via a firm's various alliances be similarly beneficial for firm performance? Additionally, how do strategic attributes of alliance portfolio configuration, specifically alliance portfolio size and partner resource scope, condition the balance‐performance relationship? Based on data from the global airline industry, we find support for the balance‐performance relationship, though such balance is less beneficial for firms in the case of access to a broader resource scope per partner . Managerial summary : Increasing revenue and reducing costs simultaneously can potentially enhance firm competitiveness. We highlight that an alliance strategy can be an important alternative to internal resources for attaining such dual strategic objectives, particularly when partner resources accessed through alliances are treated collectively as portfolios. We examine the importance of balancing product‐market extending and efficiency‐improving partner resources in the global airline industry as well as the impact of two alternate strategies for accessing resources through alliances: fewer partners with more resources per partner or more partners with fewer resources per partner. We find that resource balance at the portfolio level helps airlines improve performance. Our results also suggest that managers should be cautious of accessing too many resources through just a few partners . Copyright © 2015 John Wiley & Sons, Ltd.     

基于CPSO的基础设施模糊投资组合优化模型

针对基础设施效益模糊、难以度量的特点,结合模糊集理论,建立了模糊投资组合优化模型,改进粒子群算法,加入混沌思想,使用混沌粒子群算法(CPSO)求解基础设施的模糊投资组合优化模型。以4个城市投资公司的数据为样本,验证该方法的科学性与有效性。研究结果表明:模糊投资组合优化模型可较好地表征基础设施的模糊效益,提高基础设施投资决策的科学性;混沌寻优思想改进的粒子群算法可求得模糊投资组合优化模型的全局最优解,增强算法的鲁棒性。     

An Empirical Investigation of the Antecedents and Outcomes of NPD Portfolio Success

Managing new product development (NPD) portfolios is difficult and little is known about how successful NPD portfolio management can improve overall firm performance. Despite regular calls in the literature for more research on NPD portfolio management, what successful NPD portfolio management means and how firms can achieve it remains unclear. For this reason, this paper combines theory and previous empirical findings to build a model of the antecedents and outcomes of NPD portfolio success. We generate and test 12 hypotheses with empirical data from 189 paired dyads in Dutch firms. Our results show that all three dimensions of NPD portfolio decision‐making effectiveness (i.e., portfolio mindset, focus, and agility) are associated with achieving the three dimensions of NPD portfolio success (i.e., strategic alignment, maximal NPD portfolio value, and portfolio balance), which in turn influences market performance. While a portfolio mindset and agility are related to all three dimensions of NPD portfolio success, focus is related only to strategic alignment and maximal value. No one dimension of NPD portfolio decision‐making effectiveness or portfolio success is sufficient to achieve overall market performance. We also found several unexpected findings with important implications. For example, portfolio balance, one recommended measure of portfolio success, has no direct link to market performance, but operates through the other two dimensions of NPD portfolio success, i.e., strategic alignment and maximal portfolio value. We conclude our paper with implications for further theory development and testing on successful NPD portfolio decision‐making, and with implications for managerial practice.     

The Investment in Housing As a Forward Market Transaction: Implications for Tenure Choice and Portfolio Selection

A model of tenure choice is presented which treats the benefits and costs of homeownership from a theory of finance perspective. The incremental benefits from homeownership over renting housing services are from two sources: protection against rental price risk (a forward transaction in the housing market) and from a possible capital gain from the eventual sale of a house (substitutes for portfolio investment). The cost of these benefits is higher initial outlay on housing, which reduces the funds available for portfolio investments. The comparative statics of this model is presented. It is shown that rental risk and portfolio risk add to the value of homeownership. Since homeownership is a partial substitute for portfolio investment, it is shown that the lower the covariance between portfolio returns and future home prices the more valuable is homeownership. In the presence of differential borrowing opportunities it is shown that the leverage available to housing significantly increases the value of homeownership.     

Whether and when do alliance terminations pay off?

Engaging in multiple strategic alliances, a firm forms an alliance portfolio. While a larger alliance portfolio signals investors a firm's ability to exploit new opportunities and improve financial performance, having multiple alliances may also undermine financial performance due to a firm's limited ability to effectively manage these alliances. Announcing an alliance termination, a firm signals an intention to increase the effectiveness of a larger alliance portfolio. This article examines the extent to which alliance termination announcements create value for firms with multiple alliances. Building on the resource-based view of the firm and organizational learning literature, the paper hypothesizes a U-shaped relationship between alliance portfolio size and a firm's cumulative abnormal stock return following an alliance termination announcement. This effect is moderated by the amount of a firm's alternative resources and partner-specific experience that affect its ability to effectively manage multiple alliances. The results show that alliance termination announcements create firm value when an alliance portfolio is large.     

Managing a Portfolio of Interdependent New Product Candidates in the Pharmaceutical Industry

Highly regulated industries such as pharmaceuticals and agrochemicals face the challenge of maintaining a 0continuous stream of new products. This is difficult because of low probabilities of technical success, high development costs, uncertain market impact, a scarcity of good new product ideas, and limited human and capital resources available to develop them. The problem of evaluating and selecting which new products to develop and then of sequencing or of scheduling them is complicated further by the presence of dependencies between products both in the market place and in the development process itself. This study proposes a portfolio management approach that selects a sequence of projects, which maximizes the expected economic returns at an acceptable level of risk for a given level of resources in a new product development pipeline. A probabilistic network model of distinct activities is used to capture all the activities and resources required in the “process” of developing a new drug. A prioritization scheme suggesting sequences for developing new independent drug candidates with unlimited resources is generated with a conventional bubble chart approach. These sequences initiate a genetic algorithm (GA)‐based search for the optimal sequence in the presence of product dependencies and limited resources. By statistically evaluating the sequences generated during the GA search using a discrete event simulation model, it is possible to construct an economic reward‐risk frontier that illustrates the trade‐offs between expected rewards and risks. The model ideally is suited to answer various “what if” questions relative to changes in the resource level on pipeline performance. The methodology is illustrated with an industrially motivated case study, involving nine interdependent new product candidates targeting three diseases. The dramatic results yield a candidate sequence with an expected return 28 percent higher than the sequence suggested by the bubble chart approach at almost the same level of risk. The synergism among the candidate dependencies, pipeline resources, and economic and technical uncertainties demonstrates the necessity of a computationally intensive approach if the best development strategy is to be realized.     

Who's who in technology: identifying technological competence within the firm

This paper addresses the issue of assessing the technical expertise within the organization of a large firm.
It presents the results of a study that examined the technical competence of the human resources of a large, high technology company. Various data about the company's technical professionals (engineers, researchers, etc.) were systematically identified and collected.
A general framework for the Strategic Management of Technology is first presented to explain the importance of constructing a firm's portfolio of technologies and competence.
The design and construction methodology of the "Who's Who in Technology" (WWT) is then briefly described. Several possible uses of this tool are subsequently mentioned.
Analyses across the technical staff population using the WWT data base are then presented in greater detail. They show how one may understand (1) the accumulation and utilization of the firm's competence over time, (2) the distribution of expertise within the organization, (3) the level of expertise reached, (4) the age distribution of the technical professionals, (5) the nature of the work experience of the technical staff, etc.
The WWT scheme appears to be a practical and enlightening way to gain insight into a firm's portfolio of technical competence, while also providing the basis for a more appropriate methodology in technical human resource planning.
Some limits of the tool are finally presented and discussed.     

External technology commercialization in large firms: results of a quantitative benchmarking study

External technology commercialization (ETC), i.e., the commercialization of technological knowledge exclusively or in addition to its application inside the firm, has recently become a broader trend. However, this increase in outward technology transfer, e.g., by means of technology licensing, has been insufficiently reflected by academic research. Thus, we lack a detailed understanding of the evolution and the current scope of ETC, which represents an important component of technology portfolio management. Moreover, our insights into the functions of ETC and into firms' strategies, processes, and structures for managing ETC are limited. To address these research deficits, we present the results of a questionnaire-based benchmarking study in 154 medium-sized and large European firms spanning multiple industries. Thus, this article is among the first studies that provide quantitative empirical evidence for the current scope and management of ETC. After an introduction and theoretical considerations, the research design is described. Subsequently, the results of the survey are presented. In the final section, theoretical and managerial implications are discussed, and opportunities for further research are pointed out.     

Index fund optimization using a hybrid model: genetic algorithm and mixed-integer nonlinear programming

Abstract

Index funds consist of a subset of stocks, an index tracking portfolio, included in the market index. The index tracking portfolio aims to match the performance of the benchmark index. In this paper, we propose a hybrid model for solving the multiperiod index tracking problem, which includes rebalancing concerns, transaction costs, limits on the number of stocks, and diversification by sector, market capitalization, and stock weight. Our hybrid model combines the genetic algorithm (GA) to select stocks of the index tracking portfolio and mixed-integer nonlinear programming (MINLP) to estimate its weights. Finally, we apply our proposed hybrid model to the S&P500 to find an index tracking portfolio that includes those constraints. The results show that our hybrid model is able to create an index fund whose return rate is similar to the market index with significantly lower risk.