Stochastic dominance for ranking ventures

Tests for stochastic dominance help to rank ventures in order of preference. An example is given to show how Second Degree Stochastic Dominance can improve on the results of First Degree Stochastic Dominance but in another example, they do not yield a complete ordering of ventures. A reduction of the size of the efficient set of ventures is possible for the case where the utility function consists of two linear sections, and results for this case are given.     

Strategic management: New ventures and small business

This paper examines the factors influencing the formulation and implementation of strategy in new and small firms. Small businesses vary substantially in their resource positions, the goals of their founders and their potential. They also vary in stage of development: thus strategic management is examined separately in the start-up stage, the early-growth stage, and the later-growth stage. Intracorporate entrepreneurship in established firms is also considered. Despite this diversity, small firms create an environment for strategic management in which both the opportunities and constraints are different from those in large organizations.     

New algorithms for k-center and extensions

The problem of interest is covering a given point set with homothetic copies of several convex containers C ₁,…,C _k , while the objective is to minimize the maximum over the dilatation factors. Such k-containment problems arise in various applications, e.g. in facility location, shape fitting, data classification or clustering. So far most attention has been paid to the special case of the Euclidean k-center problem, where all containers C _i are Euclidean unit balls. Recent developments based on so-called core-sets enable not only better theoretical bounds in the running time of approximation algorithms but also improvements in practically solvable input sizes. Here, we present some new geometric inequalities and a Mixed-Integer-Convex-Programming formulation. Both are used in a very effective branch-and-bound routine which not only improves on best known running times in the Euclidean case but also handles general and even different containers among the C _i .     

Max-coloring paths: tight bounds and extensions

The max-coloring problem is to compute a legal coloring of the vertices of a graph G=(V,E) with vertex weights w such that $\sum_{i=1}^{k}\max_{v\in C_{i}}w(v_{i})$ is minimized, where C ₁,??,C _k are the various color classes. For general graphs, max-coloring is as hard as the classical vertex coloring problem, a special case of the former where vertices have unit weight. In fact, in some cases it can even be harder: for example, no polynomial time algorithm is known for max-coloring trees. In this paper we consider the problem of max-coloring paths and its generalization, max-coloring skinny trees, a broad class of trees that includes paths and spiders. For these graphs, we show that max-coloring can be solved in time O(|V|+time for sorting the vertex weights). When vertex weights are real numbers, we show a matching lower bound of ??(|V|log?|V|) in the algebraic computation tree model.     

Bottleneck identification and ranking model for mine operations

Abstract

Mining has a long history of production and operations management. Considering the increasing complexity of reserves, declining metal grades, and worldwide price volatilities, mines have to operate more efficiently than ever. In recent years, companies have been adopting innovative solutions and technologies to reduce costs and remain competitive in the global market. Specifically, management of bottlenecks has been in the focus of the manufacturing industry for decades now. The mining industry has made significant advancements in process improvement tools using equipment, human, and asset tracking capabilities. However, to date, there is no holistic approach or system to identify and manage the bottleneck in the entire value chain of mining. This research proposes a new method to identify and rank the bottlenecks in a mine value chain. The method is applied in a coal mine and the results are presented in the case study.     

Probabilistic dominance criteria for comparing uncertain alternatives: A tutorial

This paper is a tutorial which demonstrates the current state-of-the-art methods for incorporating risk into project selection decision making. The projects under consideration might be R&D, IT, or other capital expenditure programs. We will show six decision making methods: 1. mean-variance (MV), 2. mean-semivariance, 3. mean-critical probability, 4. stochastic dominance, 5. almost stochastic dominance (ASD), and 6. mean-Gini. We will also describe the assumptions about the risk attitudes of the decision maker which are associated with each of the techniques. While all these methods have been previously applied elsewhere, this is the first paper which shows all of their applications in the project selection context, together with their interrelationships, strengths and weaknesses. We have applied all six techniques to the same group of five hypothetical projects and evaluated the resulting nondominated sets. Among the methods reviewed here, stochastic dominance is recommended because it requires the least restrictive assumptions. ASD and mean-Gini are recommended when stochastic dominance is not practical or when it does not yield definitive choices. MV, mean-semivariance, and mean-critical probability are shown to be flawed.     

From gain-sharing to gain-generation: The quest for distributive justice in international joint ventures

This research investigates how distributive justice (DJ) affects cooperation-related outcomes in international joint ventures (IJVs) through several routes that intersect with reciprocal commitment, organizational attachment and contractual specification. Grounded in the convergent insights of IJV theory and justice theory, this study argues that DJ improves IJV performance through enhanced mutual commitment and interparty attachment, as well as through DJ's complementary role with IJV contract. The findings extend previous research by demonstrating that (1) DJ is an important variable affecting IJV stability via the mediation of interorganizational attachment and (2) DJ and IJV contract function as complements rather than substitutes in governing cooperation and improving IJV profitability and stability.     

Personnel selection criteria in IT ventures: A policy-capturing analysis

Growing ventures need to hire new employees and thus enhance their human capital stock. Selecting the right employees is crucial for the firms’ success. This paper looks at the criteria used in the selection process, especially at applicant fit, competencies, and social capital. Using a policy-capturing approach on a sample of managers in the German informationtechnology industry, the paper provides empirical evidence of the relationship between firm age and person-organization fit in the selection process. Furthermore, it demonstrates the interaction between two sets of selection criteria: applicant competencies and applicant fit with the formal job-requirements.     

Exploiting value system multiplicity and preference voting for robust ranking

Under a data envelopment analysis (DEA) framework, full ranking of a group of decision making units (DMUs) can be carried out through an adequate amalgamation of the cross-efficiency (CE henceforth) scores produced for each DMU. In this paper, we propose a ranking procedure that is based on amalgamating the weight profiles selected over the cross-evaluation rather than related CE scores. The new approach builds, for each DMU, a collective weight profile (CWP henceforth) by exploiting the preference voting system embedded within the matrix of weights, which views the assessing DMUs as voters and the input/output factors as candidates. The occurrence of zero votes is discussed as a special case and a two-level aggregation procedure is developed. The CWPs that are produced extend the concept of collective appreciation to the input/output factors of each DMU so that group dynamics is truly reflected, mainly in decision making circumstances where factor prioritization is necessary for making choices or allocating resources. The robustness of the proposed ranking approach is evaluated with three examples drawn from the literature.     

Legitimacy in international joint ventures: It is still needed

International joint ventures (IJVs) enable foreign firms to complement their lack of local knowledge and resources by accessing their local partners' knowledge and resource bases. However, IJV formation is not simply a means of overcoming legitimacy-related challenges that stem primarily from a local market's unfamiliarity with foreign firms. This paper proposes that foreign firms can increase the legitimacy of their IJVs to facilitate local market penetration by building interorganizational linkages through which third parties and, especially, prospective customers in local markets can infer the viability and competence of IJVs. Our empirical analyses of manufacturing IJVs in Japan support our arguments.     

A data envelopment analysis approach for ranking journals

We create a data envelopment analysis (DEA) model to rank business journals, using data from the Thomson Reuters Journal Citation Reports^® (JCR). As opposed to previous models that ranked journals in only one field and mostly relied on survey data, this model is used to rank 358 business journals from five different JCR categories according to such citation-based factors as the number of articles, the number of citations, impact factor, five-year impact factor, immediacy index, eigenfactor score, and article influence score. We compute relative efficiencies of the journals and thereby create plausible journal rankings that largely, but not completely, corroborate three widely used business publication journal ranking lists. In addition, we show how the different characteristics of the JCR data impact the DEA ranking model. Finally, we identify journals that are not on the business publication lists but consistently perform very well relative to those benchmark journals, and should possibly be included in the business publication ranking lists. We also identify journals whose inclusion in widely used business publication rankings cannot be justified by our methodology.     

Power imbalance and value creation in joint ventures

Joint ventures (JVs) often do not create expected value due to power imbalance between partners. Despite the fact that JV partners are embedded in relational constraints, prior research has largely relied on economic reasoning by focusing on equity ownership difference between JV partners as the main source of power imbalance. We extend prior research to also consider important relational factors represented by repeated ties between partners and network openness, as well as institutional status difference and network status difference as two additional dimensions of power imbalance. Our findings indicate that ownership power imbalance by itself does not have a significant effect on value creation. However, value creation is facilitated when there is ownership power imbalance between partners with more repeated ties. In contrast, value creation may be hindered when JV partners with unequal ownership are embedded in more open interfirm alliance networks. Furthermore, value creation is facilitated if JV partners that have unequal ownership also have network status power imbalance in the same direction.     

Negotiating control and achieving performance in international joint ventures: A conceptual model

Adapting well-established organization theories to international joint ventures (IJVs), this paper develops an overarching theoretical model of the determinants and effects of parent control of IJVs from an interpartner bargaining power perspective. Drawing upon power dependence, transaction costs, and agency theories, we argue that the relative bargaining power between IJV partners serves as the key determinant of control structure, and that control exerts a direct effect on the venture's performance. In addition, government influence and interpartner working relationship are critical factors that complicate the linkage between control and performance but may help to explain past conflicting results. Propositions regarding these relationships are formed for future empirical test, and implications and directions for future research are provided.     

Leadership, decision-making and cultural context: Event management within chinese joint ventures

Two studies are presented of the ways in which middle-level leaders within enterprises in mainland China handle work events. A sample of Chinese managers reported much stronger reliance on widespread beliefs as a source of guidance than had been found in other nations in earlier studies. This effect was stronger in state enterprises than in joint ventures. In the second study, management of nine work events by Chinese leaders in joint venture hotels was investigated. Events were more frequently problematic when working with Western or Japanese partners than with ethnic Chinese. Respondents' reports of how they handled work events did not vary in relation to the overseas partner with whom they worked. However they did show awareness that agreement about how best to handle events does vary in relation to who is one's partner. The results are discussed in terms of the skills required of leaders working across cultural boundaries.     

Testing for Stochastic Monotonicity

We propose a test of the hypothesis of stochastic monotonicity. This hypothesis is of interest in many applications in economics. Our test is based on the supremum of a rescaled U‐statistic. We show that its asymptotic distribution is Gumbel. The proof is difficult because the approximating Gaussian stochastic process contains both a stationary and a nonstationary part, and so we have to extend existing results that only apply to either one or the other case. We also propose a refinement to the asymptotic approximation that we show works much better in finite samples. We apply our test to the study of intergenerational income mobility.     

Physician-owned health care ventures: the question of patient referrals.

This article explores the various legal and ethical restrictions governing physician-owned health care ventures to which the physician-investors expect to refer patients. The article also suggests ways to structure such enterprises so as to minimize the risk of liability to the physician-investors as well as to the health care venture itself.     

The P-Hub maximal covering problem and extensions for gradual decay functions

The p-hub maximal covering problem aims to find the best locations for hubs so as to maximize demands within a coverage distance with a predetermined number of hubs. Classically, the problem is defined in the framework of binary coverage only; an origin–destination pair is covered if the cost (time, etc.) is lower than the critical value, and not covered at all if the cost is greater than the critical value. In this paper, we extend the definition of coverage, introducing “partial coverage”, which changes with distance. We present new and efficient mixed-integer programming models that are also valid for partial coverage for single and multiple allocations. We present and discuss the computational results with different data sets.