The KLU faculty, post-docs, and PhD candidates regularly publish the results of their research in scientific journals. You will find a complete overview of all KLU publications below (e.g. articles in peer-reviewed journals, professional journals, books, working papers, and conference proceedings). Search for relevant terms and keywords, or filter the list by name, year of publication or type of publication. The references include DOIs and abstracts where available, and you can download them to your own reference database or platform. We regularly update the database with new publications.

Journal Articles (Peer-Reviewed)

Copy reference link   DOI: 10.1177/1368430212461834

Abstract: Guided by both social cognitive and identity-based perspectives of leadership, the present study investigated how and when the process of leader categorization results in greater leader effectiveness. Specifically, we propose that the relationship between leader categorization and subordinates’ openness toward leadership should be partially mediated by subordinates’ identification with their leaders. Furthermore, seeking to corroborate that the issue of self-esteem is the central ingredient in the identification process, we argue that the mediation should become weaker the more subordinates feel that they are being treated disrespectfully by their leaders, and thus are explicitly undermined in their efforts toward self-enhancement. The proposed mediating effect was tested and supported in two field studies (N 1 = 244, N 2 = 645). In the second study, we also tested and found support for the proposed moderated mediation model. The theoretical and managerial consequences are discussed.

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Copy reference link   DOI: 10.1007/s10723-013-9268-1

Abstract: Most of the existing scientific workflow systems rely on proprietary concepts and workflow languages. We are convinced that the conventional workflow technology that is established in business scenarios for years is also beneficial for scientists and scientific applications. We are therefore working on a scientific workflow system based on business workflow concepts and technologies. The system offers advanced flexibility features to scientists in order to support them in creating workflows in an explorative manner and to increase robustness of scientific applications. We named the approach Model-as-you-go because it enables users to model and execute workflows in an iterative process that eventually results in a complete scientific workflow. In this paper, we present main ingredients of Model-as-you-go, show how existing workflow concepts have to be extended in order to cover the requirements of scientists, discuss the application of the concepts to BPEL, and introduce the current prototype of the system.

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Copy reference link   DOI: 10.1007/s10551-013-1956-z

Abstract: This article seeks to model the agenda-setting strategies of stakeholders equipped with online and other media in three cases involving protests against multinational corporations (MNCs). Our theoretical objective is to widen agenda-setting theory to a dynamic and nonlinear networked stakeholder context, in which stakeholder-controlled media assume part of the role previously ascribed to mainstream media (MSM). We suggest system dynamics (SD) methodology as a tool to analyse complex stakeholder interactions and the effects of their agendas on other stakeholders. We find that largely similar dynamics of interactions occur among stakeholders in these cases, and that the costs for managements of maintaining their agendas steadily rises. We conclude that the “web of watchdogs” comprises a powerful reason for managers to engage in responsibility negotiations with their stakeholders.

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Copy reference link   DOI: http://dx.doi.org/10.1016/j.ijpe.2012.10.014

Abstract: As policy makers seek to draw lessons from the growth of Chinese manufacturing, we need to better understand the evolving strategies adopted by Chinese manufacturers since the economic reforms of the 1980s. Focusing on the apparel and electronics sectors, we look at how Chinese manufacturers sought to move to higher value-adding parts of the supply chain in different ways during the period 2001–2011 and how their western OEMs responded. As a first step towards understanding the co-evolving strategies and tactics of Chinese contract manufacturers and western OEMs, we use a simple game-theoretic framework of contract manufacturer and OEM strategies to look at the actual tactics many Chinese contract manufacturers adopted. Our findings are that Chinese contract manufacturers ended up co-operating, competing, or co-opetiting (i.e., cooperating and competing at the same time) with western OEMs. Also, western OEMs used their position in the supply chain to devise counter-measures, possibly ending with win–win solutions for both sides.

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Copy reference link   DOI: 10.1007/s11573-012-0643-3

Abstract: The world becomes increasingly complex and problems tend to be broader and multidisciplinary. At the same time, OR/MS research seems to be narrowing down, building even more on analytical models. The flip side is the risk that OR/MS is increasingly diverging from reality and that its dominant paradigm becomes insufficient to guide us in understanding and solving complicated real-world problems. A methodology that allows a broader insight into exploring a complex system’s behaviour is urgently needed to guide OR/MS analytical models. We propose system dynamics as a methodology to link reality with the dominant OR/MS paradigm of narrowly focused and highly analytical models.

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Copy reference link   DOI: 10.1016/j.jom.2013.05.002

Abstract: This paper investigates the relationship between the inventory dynamics and long-term stock returns of a large panel of U.S. manufacturing firms over the time period from 1991 to 2010. We propose two measures of inventory dynamics: one metric to assess the fluctuations of quarterly inventories within the year and a second metric to quantify relative year-over-year inventory growth. Our results indicate that within-year inventory volatility (IV) and abnormal year-over-year inventory growth (ABI) are associated with abnormal stock returns. Both metrics cannot be entirely explained by common risk factors. We find that firms with high IV and low ABI have the best long-term stock returns, and that stock performance decreases monotonically with higher ABI values. Our results are robust to various control variables including size, book-to-market value, industry and prior performance. We therefore conclude that changes in inventory levels provide valuable insights into the risks and opportunities faced by a company.

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Copy reference link   DOI: 10.1007/s00291-011-0267-y

Abstract: Linear programming (LP) models for Supply Chain Operations Planning are widely used in Advanced Planning Systems. The solution to the LP model is a proposal for order releases to the various production units (PU) in the supply network. There is a non-linear relationship between the work-in-process in the PU and the lead time that is difficult to capture in the LP model formulation. We propose a two-step lead time anticipation (LTA) procedure where the LP model is first solved irrespective of the available production capacity and is subsequently updated with aggregate order release targets. The order release targets are generated by a local smoothing algorithm that accounts for the evolution of the stochastic workload in the PU. A solution that is both feasible with respect to the planned lead time and meets the material requirements may not exist. By means of discrete event simulation, we compare a conservative strategy where the production quantities are reduced to an optimistic strategy where the planned lead time constraint is allowed to be violated.

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Copy reference link   DOI: 10.2139/ssrn.1832522

Abstract: This article considers how “stakeholder media” – media produced and controlled by stakeholders with the purpose of affecting public opinion or opinions of other actors toward issues or organisations – can exert powerful influences on firms by setting the public agenda and framing a company’s corporate social responsibility (CSR) initiatives in ways desirable for those stakeholders. We observe that research on agenda-setting, which is very largely based on studies of the traditional news media, generally ignores the increasingly powerful reach and impact of media controlled by stakeholders. Hence, based on a case study of BP’s CSR campaign “Beyond Petroleum”, we propose a new model that addresses agenda setting by stakeholder media. The model captures distinct agenda setting as well as framing techniques used by stakeholder media to put pressure on BP’s “Beyond Petroleum” rebranding campaign. We thus aim to advance extant agenda setting concepts, by demonstrating how stakeholder media ultimately exert different and in some ways stronger influence on firms than traditional news media.

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Copy reference link   DOI: 10.1016/j.ajsl.2013.08.005

Abstract: Few topics in the area of port economics have attracted so much attention from the side of the academic community as port pricing. The impact of such literature has been quite tangible in terms of policy development and the adoption of cost-based charging practices by many ports. Nonetheless as the port sector changes, new areas of research emerge and the academic community needs to look beyond the traditional theories to provide research that matters.This manuscript provides a review of the existing literature on port pricing with a specific focus on the literature of the last decade. In the paper the author carried out a systematic analysis of the main maritime and port economics journals and highlighted the current literature gaps and the areas that can benefit from academic attentions. Among the most interesting ones there are charging practices aiming at reducing externalities, the development of all inclusive port charges and the application of revenue management for port infrastructure utilization.

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Copy reference link   DOI: 10.1142/S021987701340021X

Abstract: Adoption processes are often heavily influenced by interpersonal communication. Marketing managers are increasingly trying to use these relationships to foster the market penetration of their products. In an empirical study of the US market for an innovative medical device, we survey the social network of (mostly chief) anesthetists from 151 hospitals. We confirm the influences from personal communication on individual adoption decisions through hazard regressions. We then use a multi-agent modeling framework trying to identify what seeding strategies would have been optimal to achieve a fast market penetration, i.e. which and how many anesthetists should be selected to initiate personal communication processes.

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Copy reference link   DOI: 10.1016/j.ijpe.2011.11.025

Abstract: Demand for spare parts is often difficult to forecast using historical data only. In this paper, we give an overview of installed based management and provide several ways in which installed base information can be used to support forecasting. We discuss cases where installed base information is used in forecasting at four companies and list the issues involved. Moreover, we review some models to illustrate the potential value of the installed base information and conclude that forecasts of spare parts demand and return can be made considerably more timely and accurate using installed base information.

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Copy reference link   DOI: 10.2753/JEC1086-4415180102

Abstract: Using an agent-based model to study the success of product-sampling campaigns that rely on information about social networks, this paper investigates the essential decisions of which consumers and how many of them to target with free product samples. With an unweighted and a weighted real-world personal communication network, we show that the decision of which consumers to target is more important than that of how many consumers to target. Use of social network information increases profits by at least 32 percent. Companies should use a high-degree targeting heuristic to identify the most influential consumers. Use of social network information increases profit for single-purchase products mainly because it supports targeting more influential consumers and therefore speeds up diffusion throughout the network. For repeat-purchase products, social network information decreases the optimal number of samples and thus the cost of the campaign.

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Copy reference link   DOI: 10.1136/jnnp-2012-304157

Abstract: Background Multiple sclerosis (MS) is an inflammatory and neurodegenerative disorder of the CNS that is frequently associated with neuropsychiatric symptoms and decreased quality of life. Social support, which has been found to buffer the psychosocial burden of MS, critically depends on intact social cognition. Here we assess social cognition in patients with MS using a naturalistic video based test and explore if potential deficits in theory of mind (ToM) occur independently of known MS associated neuropsychiatric symptoms, such as depression and cognitive impairment.Methods 45 outpatients with clinically definite MS and 45 age, sex and education matched healthy control subjects (HCs) underwent standardised testing using the Movie for the Assessment of Social Cognition. MS patients also completed a neuropsychological battery.Results MS patients showed significantly impaired ToM compared with HCs. Impairments were more pronounced in identification of emotions than in identification of thoughts or intentions. Significantly lower ToM compared with HCs was detected in MS patients during the early disease stages, with limited disability and without substantial neuropsychological deficits.Conclusions These results suggest impaired social cognition in MS. Importantly, ToM impairments in this group may not simply be a consequence of the well known neuropsychological deficits. Difficulties with correctly identifying emotions, thoughts and intentions in social situations may result in interpersonal problems and could contribute to the psychosocial burden of MS.

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Abstract: While relationship learning has been addressed in marketing theory, it has not yet been explored as a possible dimension of the second-order construct of relationship quality (RQ). This construct has so far been mostly conceptualized to consist of trust and commitment, sometimes also satisfaction; however, some see the latter more as a consequence of the former two. Additionally, while RQ and its multidimensionality have been researched in the marketing literature, this area has remained virtually unexplored in the supply and operations management literature. The purpose of this paper is to analyze the multidimensional nature of the second-order construct of RQ in a particular setting of transnational corporation (TNC) buyer-supplier relationships. Our paper aims to determine if relationship learning can be considered an important dimension of RQ, alongside trust and commitment. In our study of relationship learning, we follow Jean, Sinkovics and Kim (2010) and Jean and Sinkovics (2010), who have focused on the governance aspect of relationship learning in managing supply performance outcomes. We employ an indirect testing approach by testing RQ as a second-order reflective construct comprised of trust, commitment and relationship within a simple variance-based Structural Equation Modeling (SEM). Our results confi rm that relationship learning is an important dimension of the second-order construct of RQ. This was done on a tentative sample of 11 TNC purchasing managers and 55 evaluated suppliers, albeit with some research limitations which we acknowledge. Our research calls for additional cross-validation of our tentative results.

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Abstract: Large-scaled construction projects with their complex logistical processes of transport, handling and storage material to site, on site and from site bear significant environmental impacts. Such impacts include use of land, production of waste and emissions. In this paper, we investigate—by using a case study approach—how a well-planed implemented material management can affect efficiency in construction logistics focusing on logistics of disposal. The motivation behind this research is to examine the ecological and economic impact of construction logistics on waste management on site, when construction logistics is planned and determined in the early planning phase of a refurbishment project. We find that the implementation of a waste management plan can reduce environmental impacts, specifically increasing the efficiency of logistics of disposal by approximately 9 %, but it is associated with higher costs. The findings gained from this single case study research lead to case-study-specific recommendations for practitioners and regulators in the construction logistics area.

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Copy reference link   DOI: 10.1016/j.socscimed.2011.02.011

Abstract: In an effort to improve operational efficiency, healthcare services around the world have adopted process improvement methodologies from the manufacturing sector, such as Lean Production. In this paper we report on four multi-level case studies of the implementation of Lean in the English NHS. Our results show that this generally involves the application of specific Lean ‘tools’, such as ‘kaizen blitz’ and ‘rapid improvement events’, which tend to produce small-scale and localised productivity gains. Although this suggests that Lean might not currently deliver the efficiency improvements desired in policy, the evolution of Lean in the manufacturing sector also reveals this initial focus on the ‘tool level’. In moving to a more system-wide approach, however, we identify significant contextual differences between healthcare and manufacturing that result in two critical breaches of the assumptions behind Lean. First, the customer and commissioner in the private sector are the one and the same, which is essential in determining ‘customer value’ that drives process improvement activities. Second, healthcare is predominantly designed to be capacity-led, and hence there is limited ability to influence demand or make full use of freed-up resources. What is different about this research is that these breaches can be regarded as not being primarily ‘professional’ in origin but actually more ‘organisational’ and ‘managerial’ and, if not addressed could severely constrain Lean’s impact on healthcare productivity at the systems level.

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Copy reference link   DOI: 10.1016/j.ijresmar.2012.03.001

Abstract: The methodological discussion on the calibration of aggregate marketing response models has shifted away from how to obtain usable input for optimization toward how to avoid biases in statistical estimation. The purpose of this article is to remind researchers that such calibration is performed either to support managers in their marketing-mix decisions or to create general knowledge that leads to a better understanding of marketing relationships and thus indirectly supports decisions. Both goals require response models that are optimizable. The models must also be implementable if actual decision support is the objective. Herein, I identify several aspects for which these requirements are not always fulfilled: First, the appropriateness of the chosen functional form of the marketing response models is rarely discussed, although different forms imply quite different optimal solutions. Second, endogeneity is taken into account by structural equations, even though we lack sufficient information on how managers reach their decisions. Third, estimation methods for response models are often evaluated based on goodness-of-fit, while an assessment of their usefulness for subsequent optimization is neglected. Therefore, I provide recommendations for improving the current practice by better specifying the response function and undertaking more simulation-based evaluations of the best estimation method for use in subsequent optimization. With respect to implementation, usability can be facilitated using spreadsheets and heuristics. Moreover, gaining generalizable and replicable knowledge requires better documentation of results, which can be achieved through providing elasticities and as many details as are necessary to replicate a study, thereby enabling faster learning.

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Copy reference link   DOI: 10.1111/j.1937-5956.2011.01251.x

Abstract: Supply chain risk management (SCRM) is a nascent area emerging from a growing appreciation for supply chain risk by practitioners and by researchers. However, there is diverse perception of research in supply chain risk because these researchers have approached this area from different domains. This paper presents our study of this diversity from the perspectives of operations and supply chain management scholars: First, we reviewed the researchers' output, i.e., the recent research literature. Next, we surveyed two focus groups (members of Supply Chain Thought Leaders and International SCRM groups) with open-ended questions. Finally, we surveyed operations and supply chain management researchers during the 2009 INFORMS meeting in San Diego. Our findings characterize the diversity in terms of three “gaps”: a definition gap in how researchers define SCRM, a process gap in terms of inadequate coverage of response to risk incidents, and a methodology gap in terms of inadequate use of empirical methods. We also list ways to close these gaps as suggested by the researchers.

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Abstract: The performance of business processes is measured and monitored in terms of Key Performance Indicators (KPIs). If the monitoring results show that the KPI targets are violated, the underlying reasons have to be identified and the process should be adapted accordingly to address the violations. In this paper we propose an integrated monitoring, prediction and adaptation approach for preventing KPI violations of business process instances. KPIs are monitored continuously while the process is executed. Additionally, based on KPI measurements of historical process instances we use decision tree learning to construct classification models which are then used to predict the KPI value of an instance while it is still running. If a KPI violation is predicted, we identify adaptation requirements and adaptation strategies in order to prevent the violation.

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Abstract: The repeated execution of workflow logic is usually modeled with loop constructs in the workflow model. But there are cases where it is not known at design time that a subset of activities has to be rerun during workflow execution. For instance in e-Science, scientists might have to spontaneously repeat a part of an experiment modeled and executed as workflow in order to gain meaningful results. In general, a manually triggered ad hoc rerun enables users reacting to unforeseen problems and thus improves workflow robustness. It allows natural scientists steering the convergence of scientific results, business analysts controlling their analyses results, and it facilitates an explorative workflow development as required in scientific workflows. In this paper, two operations are formalized for a manually enforced repeated enactment of activities, the iteration and the re-execution. The focus thereby lies on an arbitrary, user-selected activity as a starting point of the rerun. Important topics discussed in this context are handling of data, rerun of activities in activity sequences as well as in parallel and alternative branches, implications on the communication with partners/services and the application of the concept to workflow languages with hierarchically nested activities. Since the operations are defined on a meta-model level, they can be implemented for different workflow languages and engines.

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Copy reference link   DOI: 10.1007/s11116-012-9386-9

Abstract: This article analyzes the concept of logistics networks in the context of behavioral freight transport modeling. Starting from the basic definition of networks, the different perceptions of networks in transportation science and logistics are worked out. The micro‐macro gap, as a main challenge in freight transport modeling, is explained by the existence of logistics networks on a meso level. A taxonomy of modeling methods dealing with logistics networks is defined, based on two characteristics: the changeability of networks within models (fixed, partially variable and variable networks) and the form of cost functions mapped (economies of scale, constant average cost, and diseconomies of scale). For each category, different possible modeling methods and their application in existing freight transport models are discussed. A special focus is placed on methodologies and models that map variable networks.

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Copy reference link   DOI: 10.1007/s10696-011-9086-3

Abstract: This paper studies the problem of scheduling working hours of team drivers in European road freight transport where a sequence of lambda locations must be visited within given time windows. Since April 2007 working hours of truck drivers in the European Union must comply with regulation (EC) No 561/2006. These regulations impose standard limits on the daily driving times of truck drivers and extended daily limits that may only be used twice a week for each driver. We present a depth-first-breadth-second search method which can find a feasible schedule complying with standard daily driving time limits in O(lambda^2) time, if such a schedule exists. Furthermore, we show that this method can also be used to find schedules complying with regulation (EC) No 561/2006 if daily driving times may exceed the standard limit.

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Copy reference link   DOI: 10.1016/j.ejor.2011.06.033

Abstract: We develop an approximate dynamic programming approach to network revenue management models with customer choice that approximates the value function of the Markov decision process with a non-linear function which is separable across resource inventory levels. This approximation can exhibit significantly improved accuracy compared to currently available methods. It further allows for arbitrary aggregation of inventory units and thereby reduction of computational workload, yields upper bounds on the optimal expected revenue that are provably at least as tight as those obtained from previous approaches. Computational experiments for the multinomial logit choice model with distinct consideration sets show that policies derived from our approach can outperform some recently proposed alternatives, and we demonstrate how aggregation can be used to balance solution quality and runtime.

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Copy reference link   DOI: 10.1007/s10951-011-0249-6

Abstract: This paper presents and studies the Canadian Truck Driver Scheduling Problem (CAN-TDSP) which is the problem of determining whether a sequence of locations can be visited within given time windows in such a way that driving and working activities of truck drivers comply with Canadian Commercial Vehicle Drivers Hours of Service Regulations. Canadian regulations comprise the provisions found in U.S. hours of service regulations as well as additional constraints on the maximum amount of driving and the minimum amount of off-duty time on each day. We present two heuristics and an exact approach for solving the CAN-TDSP. Computational experiments demonstrate the effectiveness of our approaches and indicate that Canadian regulations are significantly more permissive than U.S. hours of service regulations.

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