Scholarly leadership of the study of leadership: A review of The Leadership Quarterly's second decade, 2000–2009

In a reprise of Lowe and Gardner's (2000) review of The Leadership Quarterly's (LQ) first decade as a premier outlet for scholarly leadership research, we review 353 articles published in LQ during its second decade. Multiple methods were employed to prepare this review, including: interviews with the journal's current Senior Editor and Associate Editors; an assessment of LQ's impact, reputation, and most cited articles through citation analyses; a content analysis of article type (theory, empirical, and methods), contributors (e.g., discipline, nationality, and institutional affiliation), theoretical foundations, research strategies, sample location/type, data collection methods, and analytical procedures; survey and follow-up focus groups conducted with LQ Editorial Review Board members; and qualitative analyses to assess the prevalent themes, contributions, and trends reflected in LQ during its second decade. Drawing from these sources, we describe anticipated directions for future research.     

When in Rome: Intercultural learning and implications for training

Learning requires acquiring and using knowledge. How do individuals acquire knowledge of another culture? How do they use this knowledge in order to operate proficiently in a new cultural setting? What kinds of training would foster intercultural learning? These questions have been addressed in many literatures of applied and basic research, featuring disparate concepts, methods and measures. In this paper, we review the insights from these different literatures. We note parallels among findings of survey research on immigrants, expatriate managers, and exchange students. We also draw on experiment-based research on learning to propose the cognitive processes involved in intercultural learning. In the first section, we focus on acquiring cultural knowledge, reviewing longstanding literatures on immigrant acculturation and expatriate adjustment investigating antecedents of intercultural adjustment and performance. In the second section, we focus on displaying proficiency, examining how newcomers to a cultural setting deploy their knowledge of it in order to adjust their behavior and judgments. We draw upon findings about individual differences and situational conditions that predict performance to suggest training for optimal use of cultural knowledge by adapting behaviors and judgments according to situational factors.     

Dynamic DEA: A slacks-based measure approach

In data envelopment analysis, there are several methods for measuring efficiency changes over time, e.g. the window analysis and the Malmquist index. However, they usually neglect carry-over activities between two consecutive terms and only focus on the separate time period independently aiming local optimization in a single period, even if these models can take into account the time change effect. In the actual business world, a long time planning and investment is a subject of great concern. For these cases, single period optimization model is not suitable for performance evaluation. To cope with long time point of view, the dynamic DEA model incorporates carry-over activities into the model and enables us to measure period specific efficiency based on the long time optimization during the whole period. Dynamic DEA model proposed by Färe and Grosskopf is the first innovative contribution for such purpose. In this paper we develop their model in the slacks-based measure (SBM) framework, called dynamic SBM (DSBM). The SBM model is non-radial and can deal with inputs/outputs individually, contrary to the radial approaches that assume proportional changes in inputs/outputs. Furthermore, according to the characteristics of carry-overs, we classify them into four categories, i.e. desirable, undesirable, free and fixed. Desirable carry-overs correspond, for example, to profit carried forward and net earned surplus carried to the next term, while undesirable carry-overs include, for example, loss carried forward, bad debt and dead stock. Free and fixed carry-overs indicate, respectively, discretionary and non-discretionary ones. We develop dynamic SBM models that can evaluate the overall efficiency of decision making units for the whole terms as well as the term efficiencies.     

Performance analysis of time-dependent queueing systems: Survey and classification

Many queueing systems are subject to time-dependent changes in system parameters, such as the arrival rate or number of servers. Examples include time-dependent call volumes and agents at inbound call centers, time-varying air traffic at airports, time-dependent truck arrival rates at seaports, and cyclic message volumes in computer systems.There are several approaches for the performance analysis of queueing systems with deterministic parameter changes over time. In this survey, we develop a classification scheme that groups these approaches according to their underlying key ideas into (i) numerical and analytical solutions, (ii) approaches based on models with piecewise constant parameters, and (iii) approaches based on modified system characteristics. Additionally, we identify links between the different approaches and provide a survey of applications that are categorized into service, road and air traffic, and IT systems.     

A slacks-based inefficiency measure for a two-stage system with bad outputs

We model the performance of DMUs (decision-making units) using a two-stage network model. In the first stage of production DMUs use inputs to produce an intermediate output that becomes an input to a second stage where final outputs are produced. Previous black box DEA models allowed for non-radial scaling of outputs and inputs and accounted for slacks in the constraints that define the technology. We extend these models and build a performance measure that accounts for a network structure of production. We use our method to estimate the performance of Japanese banks, which use labor, physical capital, and financial equity capital in a first stage to produce an intermediate output of deposits. In the second stage, those deposits become an input in the production of loans and securities investments. The network estimates reveal greater bank inefficiency than do the estimates that treat the bank production process as a black box with all production taking place in a single stage.     

INNOVATION STRATEGY AND FINANCIAL PERFORMANCE IN MANUFACTURING COMPANIES: AN EMPIRICAL STUDY

An innovation strategy for the manufacturing function covers four areas: a firm's desired innovation leadership orientation (i.e., being a leader versus being a follower), its level of emphasis on process and product innovation, its use of internal and external sources of innovations, and its intensity of investment in innovation. We examine two models of the association between manufacturing companies' innovation strategy and their financial performance. The first examines the variations in company financial performance as a function of the simultaneous effect of the dimensions of innovation strategy. The second is a sequential model that suggests a causal sequence among the dimensions of innovation strategy that may lead to higher performance. We used data from a sample of 149 manufacturing companies to test the models. The results (1) support the importance of innovation strategy as a determinant of company financial performance, (2) suggest that both models are appropriate for examining the associations between the dimensions of innovation strategy and company performance, and (3) show that the sequential model provides additional insights into the indirect contribution of the individual dimensions of innovation strategy to company performance. Finally, we discuss the implications of these results for managers.     

Development and validation of a lean supply chain management measurement instrument

It is widely argued that to be competitive, a company not only needs to focus on internal aspects but on the entire supply chain. Lean supply chain management has become a means of enhancing competitiveness by improving efficiency and increasing flexibility at all stages of the supply chain. This research develops and validates a lean supply chain management measurement instrument. A two-phase approach is used for scale development and refinement. In the first phase, a literature review is conducted to identify definitions of lean supply chain management and agile supply chain management and their corresponding measurement items. In the second phase, the lean supply chain management measurement instrument is validated using survey data based on scales developed in the first phase by 59 scholars with experience in lean management and/or supply chain management. The results provide a structured and comprehensive measure of lean supply chain management indicating that there are two differentiated dimensions in the measurement instrument: one related to the operational aspects of lean supply chain strategy implementation and the second related to lean supply chain planning.     

Teamworking and organizational performance: A review of survey‐based research

This paper presents a review of recent survey‐based research looking at the contribution of teamwork to organizational performance. In particular, it focuses on empirical studies in which both teamwork and performance are directly measured in a quantitative way. The paper begins by identifying four interrelated dimensions of teamwork effectiveness: attitudinal, behavioural, operational and financial. The first two represent transmission mechanisms by which organizational performance can be improved. The latter two provide direct measures of organizational outcomes. The review shows that teamworking has a positive impact on all four dimensions of performance. It also reveals that, when teamwork is combined with structural change, performance can be further enhanced. The paper concludes by highlighting some important research gaps that future studies could address.     

Internal resource waste and centralization degree in two-stage systems: An efficiency analysis

Internal resource waste refers to the waste in the intermediate resources between the upstream stage and downstream stage in a production or service system. This study examines a system with a two-stage structure, in which the outputs from the first stage are taken as the inputs for the second stage. Two-stage systems can exist in centralized, decentralized, or mixed organizational modes. In this paper, we propose two-stage DEA models considering a degree of centralization that makes it possible to measure internal resource waste in different system modes. Some managerial insights are tested and verified from the perspective of efficiency analysis. We find that: 1) when there is only one intermediate measure in a centralized two-stage system, internal resource waste can be eliminated completely, and 2) a higher degree of centralization in a two-stage system can lead to less internal resource waste and more expected outputs. Finally, we present a numerical example and two practical real-world examples that illustrate our approach and findings.     

Sustainable supply chain network design: An optimization-oriented review

Supply chain network design (SCND) models and methods have been the subject of several recent literature review surveys, but none of them explicitly includes sustainable development as a main characteristic of the problem considered. The aim of this review is to bridge this gap. The paper analyzes 87 papers in the field of supply chain network design, covering mathematical models that include economic factors as well as environmental and/or social dimensions. The review is organized along four research questions asking (i) which environmental and social objectives are included, (ii) how are they integrated into the models, (iii) which methods and tool are used and finally (iv) which industrial applications and contexts are covered in these models. The review finds that there are a number of limitations to the current research in sustainable SCND. The narrow scope of environmental and social measures in current models should go beyond limited greenhouse gas indicators to broader life-cycle approaches including new social metrics. The more effective inclusion of uncertainty and risk in models with improved multi-objective approaches is also needed. There are also significant gaps in the sectors used to test models limiting more general applicability. The paper concludes with promising new avenues of research to more effectively include sustainability into SCND models.     

Towards a job competency profile for agricultural extension instructors: A survey of views of experts

A project is carried out for instructors in the agricultural extension service in Esfahan. Part of the project is study, conducted to inform the process of competency profile development for the instructors. The study, reported in this contribution, focuses on views of experts about competencies needed by the instructors. The survey is based on the methodology for developing models of HRD, in which 257 key experts participated. A mix of methods was used for collecting data. The most important competencies found in this study are subject matter and business understanding, and presentation skill. The most essential outputs are presentation of instructional materials, feedback to learners and equipping learners with new competencies after the course. In this contribution, competencies and outputs are elaborated. Further research is needed regarding performance improvement as a result of the efforts of the instructors, and the views of other stakeholders on the development of the agri-clusters.     

Efficient flow control of jobs in assembly lines

This paper addresses the issues of efficient flow control techniques for jobs in assembly lines. We propose a queuing theoretic approach for efficient flow control of jobs. An assembly line performance measure (ALPM) is used as the measure of performance for each assembly line and is denned as the ratio of throughput to total average delay of an assembly line (AL). A performance product criterion (PPC) is used as the performance measure of a cluster of ALs. It is shown that the performance product criterion has a unique maximum in throughput space. Two algorithms are presented to find the maximum of the performance product criterion in two different cases of assembly line environment. In the first algorithm, we attempt to maximize the performance product criterion with respect to the throughputs of the assembly lines in the entire throughput space. The second algorithm maximizes the performance product criterion when the sum of the throughputs of the ALs is fixed. Numerical examples are given as illustrations of the algorithms.     

6. Racioethnicity and job performance: A review and critique of theoretical perspectives on the causes of group differences

Workforce equality has been an important organizational and societal goal for many years, and a number of strategies for achieving it have been recommended and used. Yet, differences in job performance and important job outcomes such as promotion, advancement, and compensation still exist among racioethnic groups. This situation is important for OB researchers to address. What do we know about the causes of these differences? The purpose of this paper is to review the literature on racioethnic group differences in performance and related outcomes, and the models used to explain group differences. We find that four models are used as explanatory frameworks for exploring group differences: the Internal Trait model, Bias and Discrimination model, Response to Discrimination model, and the Organizational Context model. We examine these models and summarize the evidence for each. Based on the review, implications of the models for future research and for the reduction of group differences are discussed.     

Using Adaptive Sparse Grids to Solve High‐Dimensional Dynamic Models

We present a flexible and scalable method for computing global solutions of high‐dimensional stochastic dynamic models. Within a time iteration or value function iteration setup, we interpolate functions using an adaptive sparse grid algorithm. With increasing dimensions, sparse grids grow much more slowly than standard tensor product grids. Moreover, adaptivity adds a second layer of sparsity, as grid points are added only where they are most needed, for instance, in regions with steep gradients or at nondifferentiabilities. To further speed up the solution process, our implementation is fully hybrid parallel, combining distributed and shared memory parallelization paradigms, and thus permits an efficient use of high‐performance computing architectures. To demonstrate the broad applicability of our method, we solve two very different types of dynamic models: first, high‐dimensional international real business cycle models with capital adjustment costs and irreversible investment; second, multiproduct menu‐cost models with temporary sales and economies of scope in price setting.     

An appreciation of alternative sales forecasting models: Recent techniques based on historical data

The subject of statistical sales forecasting has recently been brought to prominence as a major area of management decision-making by the growth of a substantive literature and the establishment of several research groups to investigate the building of forecasting models. Whilst a lot of attention has been focused on the relatively newer disciplines of technological forecasting and multiple-equation model building of macro-economic systems, statistical sales forecasting methods have also been subject to considerable development and a number of radically new techniques have emerged. The authors believe that it is timely to review the current ‘state of the art’ of sales forecasting methodology. This study examines a wide range of models in use although it is not intended as a comprehensive guide.     

CEO behavioral pattern expectations for physician executives

This is a report on the second part of a two-stage survey. The first part of the survey, reported in the Nov. 1994 issue of Physician Executive, dealt with physician executive behavior tendencies as viewed from the perspective of physicians, largely in hospitals. In the follow-up portion of the survey, the views of hospital CEOs on this subject were sought. CEOs were also asked for their views on the roles of physician executives and on what they were seeking in physician leaders. CEOs were asked to assess these issues in terms of the ideal physician executive, not the persons currently holding such positions in their organizations. Finally, this second report draws on the results of both parts of the survey in order to make comparisons between the views of the two groups of managers.     

Financial Distress Prediction Models: A Review of Their Usefulness1

Throughout the 1980s there has been continued interest in developing financial distress prediction models for both large and small firms. There has, however, been no survey of this literature directed towards assessing the uses and limitations of these models in a management context. The purpose of the paper is, therefore, to indicate the managerial uses and limitations associated with adopting financial distress prediction models. The paper achieves this end by considering in section two the current financial distress prediction techniques and their limitations. Section three examines the relevance of the predicted event (usually actual failure), the usefulness of multi-outcome models and the appropriateness of various sample selection methods. A review of the range and adequacy of the financial and non-financial information used to construct predictive models forms the basis of the fourth section and is followed in section five by a review of the validity of the claims made on behalf of their predictive accuracy. The following section examines the efficacy of other methods of predicting distress, and reviews the ‘man versus model’ literature concerning the relative abilities of unaided human decision-makers and statistical models. The final section offers conclusions and suggests where future work might be directed.     

It’s Not What You Pay it’s the Way that You Pay it and that’s What Gets Results: Jockeys’ Pay and Performance

Management scholars and economists have recently set out the requirements of a system to elicit good performance when it is necessary to align the interests of the principal and agent. We analyse pay and performance in an occupation — jockeys — replete with moral hazard possibilities. We are able to do this because, most unusually, a measure of pure individual performance exists for an unbalanced panel of some 50 individuals for 8 years. Three hypotheses are tested. First, in line with classic agency theory, we expect monitoring mechanisms and incentive contracts to be used to align the interests of principals and agents. Second, pay and performance should be positively associated, subject to the first hypothesis being confirmed. Third, a limited number of jockeys were paid via an alternative mechanism involving very large non-contingent retainer fees. This serves as our counterfactual payment system. In line with agency theory we expect worse performance under such a system than under an incentive contract. The three hypotheses are confirmed: incentive contracts generate superior performance to non-contingent payment systems. Our evidence suggests that ‘it’s not what you pay it’s the way that you pay it … and that’s what gets results’. It is maddening that society confers its blessings on traditional academic pursuits but views the study of horseracing as utter frivolity (Beyer, 1983).     

Environmental and social supply chain management sustainability practices: construct development and measurement

The purpose of this paper is to conceptualise and operationalise the concept of supply chain management sustainability practices. Based on a multi-stage procedure involving a literature review, expert Q-sort and pre-test process, pilot test and survey of 156 supply chain directors and managers in Ireland, we develop a multidimensional conceptualisation and measure of social and environmental supply chain management sustainability practices. The research findings show theoretically sound constructs based on four underlying sustainable supply chain management practices: monitoring, implementing systems, new product and process development and strategy redefinition. A two-factor model is then identified as the most reliable: comprising process-based and market-based practices.     

Capturing Relatedness: Comprehensive Measures based on Secondary Data

This paper presents new measures of technological and customer‐side relatedness constructed from widely available secondary data. Relatedness is a concept central to predicting the existence and nature of a relationship between corporate diversification and firm performance. Yet, finding appropriate measures has been an ongoing struggle. The widely used SIC‐based entropy measure has low construct validity, and survey‐based measures are hard to replicate across firms and industries and over time. The measures we develop significantly outperform established measures in explaining variation in firm performance across firms and over time, and both sources of relatedness are found to be independent and significant explanations of firm performance.