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.

Selected Publications

Copy reference link   DOI: doi:http://dx.doi.org/10.1016/j.leaqua.2013.02.001

Abstract: Abstract What makes people perceive a leader as charismatic, and how do team leaders obtain performance outcomes from their followers? We examine leaders in times of organizational change and investigate the mechanisms through which leaders’ change-promoting behaviors are associated with team performance. In a multilevel mediation model, we propose that the indirect relationship between change-promoting behaviors and team performance is sequentially transmitted through followers’ perceptions of charisma and followers’ commitment to change. A study of 33 leaders and 142 followers provides empirical support for the model, using multilevel structural equation modeling to analyze top-down relationships between leaders and followers and bottom-up relationships between followers and team outcomes. Results suggest that team leaders are perceived as more charismatic when they engage in change-promoting behaviors. These behaviors facilitate team performance through individual followers’ perceived charisma and commitment to change.

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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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Copy reference link   DOI: 10.1108/03090561311324200

Abstract: Purpose – This study seeks to examine the effect of pricing as a marketing instrument to stimulate word‐of‐mouth (WOM) by comparing the influence of two pricing strategies (i.e. a low‐complexity vs a network‐effects tariff) on the referral behaviour.Design/methodology/approach – Using customer data from a German mobile network operator (including information on customer characteristics, referral behaviour, and service usage), the authors develop a logit model.Findings – Surprisingly, the results indicate that it is the low‐complexity tariff that increases the likelihood of referrals and leads to an overall higher referral activity. Despite the lower referral activity, however, the network‐effects tariff generates higher revenues.Research limitations/implications – The results show that companies can use pricing schemes to influence referral behaviour and strongly indicate the need of further research on manageable tools to stimulate word‐of‐mouth marketing. Practical implications – The findings show not only that pricing has an impact on customers' referral behaviour but also that it is the low‐complexity tariffs that trigger referrals. Furthermore, the results underline the importance of considering the monetary value of referrals.Originality/value – In contrast with many previously conducted studies on customer referrals, the paper explicitly analyses the impact of pricing on referral behaviour and empirically shows that firms are able to actively manage WOM among customers.

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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: 10.2139/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: 10.1007/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: 10.1111/j.1937-5956.2011.01310.x

Abstract: With supply chains distributed across global markets, ocean container transport now is a critical element of any such supply chain. We identify key characteristics of ocean container transport from a supply chain perspective. We find that unlike continental (road) transport, service offerings tend to be consolidated in few service providers, and a strong focus exists on maximization of capital intensive resources. Based on the characteristics of ocean container transport as part of global supply chains, we list a number of relevant and challenging research areas and associated questions.

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Copy reference link   DOI: 10.1016/j.matcom.2013.03.005

Abstract: In this paper, a ship lock scheduling problem is investigated. Ships arrive randomly over time, and the instantaneous arrival rates are allowed to vary both temporally and stochastically in an arbitrary manner. A data-driven approach is applied to a single ship lock scheduling, which is a typical optimizing and decision-making problem. The objective is to minimize the operation costs and other costs(e.g. water cost, electricity cost, and staff welfare cost) by selecting an appropriate slot number during a planned period. The convergence of data-driven approach is discussed from three aspects: the convergence of ant colony optimization algorithm, the convergence of the proposed algorithm, and the error between the historical ship data and the current arrival ship data. The research findings are beneficial for the convergence analysis of data-driven theory and the management of waterway transportation.

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Copy reference link   DOI: 10.1155/2013/457010

Abstract: Online studies are increasingly utilized in applied research. However, lack of external diagnostic verification in many of these investigations is seen as a threat to the reliability of the data. The present study examined the robustness of internet studies on psychosis against simulation. We compared the psychometric properties of the Community Assessment of Psychic Experiences scale (CAPE), a self-report instrument measuring psychotic symptoms, across three independent samples: (1) participants with a confirmed diagnosis of schizophrenia, (2) participants with self-reported schizophrenia who were recruited over the internet, and (3) clinical experts on schizophrenia as well as students who were asked to simulate a person with schizophrenia when completing the CAPE. The CAPE was complemented by a newly developed 4-item psychosis lie scale. Results demonstrate that experts asked to simulate schizophrenia symptoms could be distinguished from real patients: simulators overreported positive symptoms and showed elevated scores on the psychosis lie scale. The present study suggests that simulated answers in online studies on psychosis can be distinguished from authentic responses. Researchers conducting clinical online studies are advised to adopt a number of methodological precautions and to compare the psychometric properties of online studies to established clinical indices to assert the validity of their results.

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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: 10.1108/IMDS-10-2012-0374

Abstract: Purpose – The main aim of the research is to shed light on the role of information and communication technology (ICT) in the logistics innovation process of small and medium‐sized third party logistics providers (3PLs).Design/methodology/approach – A triangulated research strategy was designed using a combination of quantitative and qualitative methods. The former involved the use of a questionnaire survey of small and medium‐sized Italian 3PLs with 153 usable responses received. The latter comprised a series of focus groups and the use of seven case studies.Findings – There is a relatively low level of ICT expenditure with few companies adopting formal technology investment strategies. The findings highlight the strategic importance of supply chain integration for 3PLs with companies that have embarked on an expansion of their service portfolios showing a higher level of both ICT usage and information integration. Lack of technology skills in the workforce is a major constraint on ICT adoption. Given the proliferation of logistics‐related ICT tools and applications in recent years it has been difficult for small and medium‐sized 3PLs to select appropriate applications.Research limitations/implications – The paper provides practical guidelines to researchers in the effective use of mixed‐methods research based on the concept of methodological triangulation. In particular, it shows how questionnaire surveys, focus groups and case study analysis can be used in combination to provide insights into multi‐faceted supply chain phenomena. It also identifies several potentially fruitful avenues for future research in this specific field.Practical implications – The paper's findings provide useful guidance for practitioners on the effective adoption of ICT as part of the logistics innovation process. The findings also provide support for ICT vendors in the design of ICT solutions that are aligned to the needs of small 3PLs.Originality/value – There is currently a paucity of research into the drivers and inhibitors of ICT in the innovation processes of small and medium‐sized 3PLs. This paper fills this gap by exploring the issue using a range of complementary research approaches.

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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: 10.1016/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: 10.1016/j.respol.2013.01.010

Abstract: A large, and purportedly increasing, number of research fields in modern science require scholars from more than one discipline to understand their puzzling phenomena. In response, many scholars argue that scientific work needs to become more interdisciplinary, and is indeed becoming so. This paper contributes to our understanding of the evolution of interdisciplinary research in new fields. We explore interdisciplinary co-authorship, co-citation and publication patterns in the recently emergent research field of open source innovation during the first ten years of its existence. Utilizing a database containing 306 core publications and over 10,000 associated reference documents, we find that inquiry shifts from interdisciplinary to multidisciplinary research, and from joint puzzle solving to parallel problem solving, within a very few years after the inception of the field. “High-involvement” forms of interdisciplinary exchange decline faster than “low-involvement” forms. The patterns we find in open source research, we argue, may be quite general. We propose that they are driven by changes in task uncertainty and the ability to modularize research, among other factors. Our findings have important implications for individual scholars, research organizations, and research policy.

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Copy reference link   DOI: 10.1007/s10584-013-0843-z

Abstract: With 80 % of world trade carried by sea, seaports provide crucial linkages in global supply-chains and are essential for the ability of all countries to access global markets. Seaports are likely to be affected directly and indirectly by climatic changes, with broader implications for international trade and development. Due to their coastal location, seaports are particularly vulnerable to extreme weather events associated with increasing sea levels and tropical storm activity, as illustrated by hurricane “Sandy”. In view of their strategic role as part of the globalized trading system, adapting ports in different parts of the world to the impacts of climate change is of considerable importance. Reflecting the views of a diverse group of stakeholders with expertise in climate science, engineering, economics, policy, and port management, this essay highlights the climate change challenge for ports and suggests a way forward through the adoption of some initial measures. These include both “soft” and “hard” adaptations that may be spearheaded by individual port entities, but will require collaboration and support from a broad range of public and private sector stakeholders and from society at large. In particular, the essay highlights a need to shift to more holistic planning, investment and operation.

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Copy reference link   DOI: 10.1111/j.1530-9290.2012.00573.x

Abstract: Regulatory measures that hold producers accountable for their products at end of life are increasingly common. Some of these measures aim at generating incentives for producers to design products that will be easier and cheaper to recover at the postconsumer stage. However, the allocation of recovery costs to individual producers, which can facilitate realization of the goals of these policies, is hindered by the practical barrier of identification and/or sorting of the products in the waste stream. Technologies such as radio frequency identification (RFID) can be used for brand or model recognition in order to overcome this obstacle. This article assesses the read rate of RFID technology (i.e., the number of successful retrievals of RFID tag data [“reads”] in a given sample of tagged products) and the potential role of RFID tags in the management of waste electrical and electronic equipment (WEEE) at current levels of technical development.We present the results of RFID trials conducted at a civic amenity site in the city of Limerick, Ireland. The experiment was performed for fixed distances up to 2 meters on different material substrates. In the case of white goods (i.e., large household appliances), a 100% read rate was achieved using an RFID handheld reader. High read rates were also achieved for mixed WEEE. For a handheld scan of a steel cage containing mixed WEEE, read rates varied from 50% to 73% depending on the ultrahigh frequency (UHF) metal mount tag employed and the relative positioning of the tags within the cage.These results confirm that from a technical standpoint, RFID can achieve much greater brand or model identification than has been considered feasible up to now, and thus has a role to play in creating a system that allocates recovery costs to individual producers.

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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: 10.1007/BF03372911

Abstract: This article, from a special issue on freight transport, describes the use of the Delphi method to forecast long-term trends in road freight, logistics, and related carbon dioxide (CO2) emissions. A Delphi survey usually involves sending a first-round questionnaire to a number of respondents, collating and analyzing the data, and then recirculating the questionnaire, along with a summary of the results. The respondents are asked to confirm or modify their previous responses. The authors note that the Delphi survey method is a popular forecasting technique that is particularly useful in mid- and long-term forecasting. They use a case study of a large two-round Delphi survey undertaken in the United Kingdom (UK) to elicit projections of long-term trends in road freight and logistics variables. These projections were then used to model UK road freight-related CO2 emissions up to the year 2020. One section compares the results found in the Delphi study with five other studies on the topic: Mobility 2030; European Energy and Transport Trends to 2030 (EET); the Great Britain Freight Model (GBFM); the National Transport Model (NTM); and TREMOVE, a transport and emission model developed for the European Commission. The authors conclude that, in situations where disaggregated forecast is required to gain insight and exploration of reasons behind predicted future trends is sought, the Delphi method combined with the survey technique offers a valuable instrument to elicit reliable projections.

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Copy reference link   DOI: 10.1111/j.1937-5956.2012.01345.x

Abstract: The network choice revenue management problem models customers as choosing from an offer set, and the firm decides the best subset to offer at any given moment to maximize expected revenue. The resulting dynamic program for the firm is intractable and approximated by a deterministic linear program called the CDLP which has an exponential number of columns. However, under the choice-set paradigm when the segment consideration sets overlap, the CDLP is difficult to solve. Column generation has been proposed but finding an entering column has been shown to be NP-hard. In this study, starting with a concave program formulation called SDCP that is based on segment-level consideration sets, we add a class of constraints called product constraints (σPC), that project onto subsets of intersections. In addition, we propose a natural direct tightening of the SDCP called inline image, and compare the performance of both methods on the benchmark data sets in the literature. In our computational testing on the data sets, 2PC achieves the CDLP value at a fraction of the CPU time taken by column generation. For a large network our 2PC procedure runs under 70 seconds to come within 0.02% of the CDLP value, while column generation takes around 1 hour; for an even larger network with 68 legs, column generation does not converge even in 10 hours for most of the scenarios while 2PC runs under 9 minutes. Thus we believe our approach is very promising for quickly approximating CDLP when segment consideration sets overlap and the consideration sets themselves are relatively small.

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Copy reference link   DOI: 10.1016/j.tranpol.2013.09.022

Abstract: Although spatial concentration of logistics firms in logistics concentration areas can be beneficial for society at large, there is not much research on the relationship between land allocation policies and logistics concentration areas. This paper analyzes land allocation policies by means of a survey conducted in the south of the Netherlands. Results show that municipalities do not actively stimulate spatial concentration of logistics firms, although both aldermen and public administration employees acknowledge that co-location of logistics firms can lead to benefits. There is a need for cooperation between municipalities, such that a regional policy can be developed, to attain the regional benefits of logistics concentration areas, while local disadvantages (like congestion and CO2 emissions) can be reduced. Respondents acknowledge the positive effects of cooperation with respect to logistics land allocation, but recognize some impediments. Municipalities that already cooperate with others are positive about the results. Hence, municipalities are advised to build partnerships, such that land allocation policies can be better aligned with the stimulation of logistics concentration areas.

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Copy reference link   DOI: 10.1080/13675567.2013.841134

Abstract: We examine how UK universities view different topics within supply-chain management as seen in their research output and their postgraduate curricula and whether this view matches the relative emphasis on these aspects by UK-based employers when hiring. Using content analysis, we analysed: (1) UK-based supply-chain/logistics job advertisements, (2) abstracts of research articles by UK academics in supply-chain/logistics journals, and (3) the description of the postgraduate-level supply-chain/logistics degrees in UK universities. Our findings show that the overall research output of UK universities is broadly in line with employers’ needs with regards to the relative emphasis on different supply-chain topics. However, their relative emphasis on these topics in their teaching programmes is quite different. We suggest that universities need to look into their provision of academic programmes in relation to employers’ needs and need to look into how to leverage their research output better for this purpose.

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Copy reference link   DOI: 10.1007/s10551-012-1287-5

Abstract: We investigate how social comparison processes in leader treatment quality impact group members’ self-worth, affect, and behavior. Evidences from the field and the laboratory suggest that employees who are treated kinder and more considerate than their fellow group members experience more self-worth and positive affect. Moreover, the greater positive self-implications of preferentially treated group members motivate them more strongly to comply with norms and to engage in tasks that benefit the group. These findings suggest that leaders face an ethical trade-off between satisfying the moral standard of treating everybody equally well and satisfying individual group members’ desire to be treated better than others.

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Copy reference link   DOI: 10.1016/j.cor.2012.08.016

Abstract: In recent years, supply chains have become increasingly globalized. As a consequence, the world’s supply of all types of parts has become more susceptible to disruptions. Some of these disruptions are extreme and may have global implications. Our research is based on the supply risk management problem faced by a manufacturer. We model the problem as a dynamic program, design and implement approximate dynamic programming (ADP) algorithms to solve it, to overcome the well-known curses of dimensionality. Using numerical experiments, we compare the performance of different ADP algorithms. We then design a series of numerical experiments to study the performance of different sourcing strategies (single, dual, multiple, and contingent sourcing) under various settings, and to discover insights for supply risk management practice. The results show that, under a wide variety of settings, the addition of a third or more suppliers brings much less marginal benefits. Thus, managers can limit their options to a backup supplier (contingent sourcing) or an additional regular supplier (dual sourcing). Our results also show that, unless the backup supplier can supply with zero lead time, using dual sourcing appears to be preferable. Lastly, we demonstrate the capability of the proposed method in analyzing more complicated realistic supply chains.

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