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: 10.1108/09600031311293228

Abstract: Purpose – This is a polemical paper challenging both the principle and practice of journal ranking. In recent years academics and their institutions have become obsessive about the star‐ratings of the journals in which they publish. In the UK this is partly attributed to quinquennial reviews of university research performance though preoccupation with journal ratings has become an international phenomenon. The purpose of this paper is to examine the arguments for and against these ratings and argue that, on balance, they are having a damaging effect on the development of logistics as an academic discipline.Design/methodology/approach – The arguments advanced in the paper are partly substantiated by references to the literature on the ranking of journals and development of scientific research. A comparison is made of the rating of logistics publications in different journal ranking systems. The views expressed in the paper are also based on informal discussions with numerous academics in logistics and other fields, and long experience as a researcher, reviewer and journal editor.Findings – The ranking of journals gives university management a convenient method of assessing research performance across disciplines, though has several disadvantages. Among other things, it can skew the choice of research methodology, lengthen publication lead times, cause academics to be disloyal to the specialist journals in their field, favour theory over practical relevance and unfairly discriminate against relatively young disciplines such as logistics. Research evidence suggests that journal ratings are not a good proxy for the value and impact of an article. The paper aims to stimulate a debate on the pros and cons of journal rankings and encourage logistics academics to reflect on the impact of these rankings on their personal research plans and the wider development of the field. Research limitations/implications – The review of journal ranking systems is confined to three countries, the UK, Germany and Australia. The analysis of journal ranking was also limited to 11 publications with the word logistics or supply chain management. The results of this review and analysis, however, provide sufficient evidence to support the main arguments advanced in the paper.Practical implications – The paper asserts that the journal ranking system is encouraging a retreat into ivory towers where academics become more interested in impressing each other with their intellectual brilliance than in doing research that is of real value to the outside world. Originality/value – Many logistics academics are concerned about the situation and trends outlined in this paper, but find it very difficult to challenge the prevailing journal ranking orthodoxy. This paper may give them greater confidence to question the value of the journal ranking systems that are increasing dominating academic life.

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Copy reference link   DOI: http://dx.doi.org/10.1016/j.ribaf.2012.05.001

Abstract: This paper studies recurring annual events potentially introducing seasonality into gold prices. We analyze gold returns for each month from 1980 to 2010 and find that September and November are the only months with positive and statistically significant gold price changes. This “autumn effect” holds unconditionally and conditional on several risk factors. We argue that the anomaly can be explained with hedging demand by investors in anticipation of the “Halloween effect” in the stock market, wedding season gold jewelery demand in India and negative investor sentiment due to shorter daylight time. The autumn effect can also be characterized by a higher unconditional and conditional volatility than in other seasons.

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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/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: 10.1057/mel.2013.25

Abstract: This article examines the extent to which shippers can influence the level of carbon emissions from the deep-sea container supply chain. It uses data collected in an online questionnaire survey of 34 large UK shippers, supplemented by the results of focus group discussions and interviews with a range of key stakeholders, including shipping lines, freight forwarders, logistics companies and port operators. The online sample comprised shippers responsible for inbound and/or outbound deep-sea containers flows. The amount of leverage that they can exert on ‘carbon-sensitive’ decisions depends partly on the Incoterms that they employ and their use of freight forwarders. Many large shippers still retain significant influence over the choice of carriers used for deep-sea and port feeder services, consignment routing and scheduling and the choice of port. Shippers responsible for inbound flows reported high levels of container fill, though opportunities exist for improving the weight utilisation of outbound containers, possibly by moving to a port-centric logistics model. Around 40 per cent of the shippers consulted currently measure CO2 emissions from their deep-sea container supply chains with only 6 per cent explicitly implementing carbon reduction initiatives. The research shows the importance of adopting a broader supply chain approach to decarbonisation in the maritime sector and emphasises the need for a multi-stakeholder perspective that recognises the important role of the shipper in the process.

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Copy reference link   DOI: 10.4155/cmt.12.62

Abstract: This article examines the different approaches that companies can take to setting targets for the reduction of carbon emissions from their logistics operations. The research suggests that target-setting practices differ widely in this field. It is common for firms simply to apply corporate-level targets to logistics, despite the fact that carbon abatement potential and cost–effectiveness vary by function and activity. A small minority of firms have systematically analyzed the possible carbon savings from specific interventions and technologies. To improve their credibility and consistency, carbon reduction targets need to conform to certain principles. The article proposes a series of principles applicable to the decarbonization of logistics. It is based mainly on a literature review, semi-structured interviews with a sample of logistics managers and involvement in an industry-wide initiative to cut logistics-related carbon emissions.

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Copy reference link   DOI: 10.2139/ssrn.2142283

Abstract: Gold has been a store of value for centuries and a safe haven for investors in the pastdecades. However, the increased investment in gold for speculative or hedging purposes has changed the safe haven property. We demonstrate theoretically and empirically that investor behaviour has the potential to destroy the safe haven property of gold. The results suggest that an asset cannot be both an investment asset and an effective safe haven asset. This finding has important implications for financial stability since assets are more likely to exhibit excess comovement and volatility in the absence of a safe haven.

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Copy reference link   DOI: http://dx.doi.org/10.1016/j.jbankfin.2011.05.019

Abstract: This paper studies the spread of the Global Financial Crisis of 2007–2009 from the financial sector to the real economy by examining ten sectors in 25 major developed and emerging stock markets. The analysis tests different channels of financial contagion across countries and sectors and finds that the crisis led to an increased co-movement of returns among financial sector stocks across countries and between financial sector stocks and real economy stocks. The results demonstrate that no country and sector was immune to the adverse effects of the crisis limiting the effectiveness of portfolio diversification. However, there is clear evidence that some sectors in particular Healthcare, Telecommunications and Technology were less severely affected by the crisis.

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Copy reference link   DOI: 10.1016/j.cor.2011.12.016

Abstract: In Canada transport companies must ensure that truck drivers can comply with Canadian Commercial Vehicle Drivers Hours of Service Regulations. Canadian regulations comprise the provisions found in US 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. This paper presents a mixed integer programming formulation and an iterative dynamic programming approach for minimising the duration of truck driver schedules complying with Canadian hours of service regulations. Computational experiments show that schedule durations can be significantly reduced compared with a previously presented approach which only focuses on feasibility.

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Abstract: Marketing budget decisions are critical and should be fact based rather than intuitive. Profit can be improved by better allocating a fixed budget across products or regions. The Excel-based decision support model presented in this article makes it possible to determine near-optimal marketing budgets and represents an innovative and feasible solution to the dynamic marketing allocation budget problem for multi-product, multi-country firms. The model accounts for marketing dynamics and a product's growth potential as well as for trade-offs with respect to marketing effectiveness and profit contribution. It was successfully implemented at Bayer, one of the world's largest firms in the pharmaceuticals and chemicals business. The profit improvement potential in this company was more than 50 % and worth nearly EUR 500 million in incremental discounted cash flows.

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Copy reference link   DOI: 10.1016/j.jocrd.2012.07.001

Abstract: Online surveys are gaining increasing momentum in clinical research. Ease of recruitment and low cost are two of the biggest advantages of Internet studies. There are, however, concerns about their reliability and validity.The present study compared the psychometric properties of self-report instruments measuring obsessive-compulsive disorder (OCD) across three samples: (1) participants with a confirmed diagnosis of OCD (n=66), (2) participants with a probable diagnosis of OCD (n=86) and (3) clinical experts on OCD and students who were asked to pretend to have OCD (n=121). Psychometric indices of the Yale-Brown Obsessive Compulsive Score (Y-BOCS) and the Obsessive Compulsive Inventory (OCI-R) served as indicators for reliability and validity.Both patient samples revealed good retest reliability scores and good correlations between Y-BOCS and OCI-R scores. In contrast, the expert group showed poor retest reliabilities and mixed results for the intercorrelations between OCI-R and Y-BOCS scores. Simulators display a marked tendency to over-report symptoms on the OCI-R.Good psychometric properties of online studies may serve as a proxy for the validity of diagnoses.

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Copy reference link   DOI: 10.1007/s13676-012-0014-9

Abstract: Truck driver scheduling problems are important subproblems of real-life vehicle routing and scheduling problems because rest periods required by government regulations have a significant impact on travel and arrival times and vehicle routes generated without considering these regulations are often practically infeasible. This paper presents a mixed integer programming formulation and a dynamic programming approach for solving a variant of the truck driver scheduling problem in which truck drivers may only rest at customer locations and at suitable parking lots. The objective of the problem is to find a truck driver schedule with minimal duration. The model presented in this paper is very flexible and can be configured to consider different sets of rules imposed by government regulations and union contracts. The effectiveness of the dynamic programming approach is demonstrated for working hour regulations in the United States and in the European Union.

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Copy reference link   DOI: 10.1525/cmr.2012.54.3.98

Abstract: Outsourcing initiatives are key to firm efforts to focus on core competencies, alter engrained practices and attain significant cost reductions in non-core processes. Extensive thought goes into the selection of outsourcing service providers, with the aim of enlisting vendors that have the competence and reputation to lower cost and enhance service levels. However, in addition to traditional fee-for-service outsourcing, another option is to develop a new enterprise that is wholly or partially owned by the outsourcing entity to take on the activities that are externalized—a so-called “enterprise partnership.” This article examines one of the first examples of such a partnership: BAE Systems' efforts to outsource its HR services in collaboration with Xchanging. It tracks the evolution of the resulting enterprise partnership from the perspective of both the new vendor and the outsourcing firm. The article also discusses the need for explicit contractual recognition of key phases of the outsourcing life cycle as a means to reduce inevitable in-process conflict. Understanding the divergence of interests that naturally emerge is critical to realizing the long-term promise that enterprise partnerships offer.

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Copy reference link   DOI: http://dx.doi.org/10.1016/j.jempfin.2011.12.002

Abstract: The aim of this study is to provide a comprehensive description of the dependence pattern of stock returns by studying a range of quantiles of the conditional return distribution using quantile autoregression. This enables us to study the behavior of extreme quantiles associated with large positive and negative returns in contrast to the central quantile which is closely related to the conditional mean in the least-squares regression framework. Our empirical results are based on 30 years of daily, weekly and monthly returns of the stocks comprised in the Dow Jones Stoxx 600 index. We find that lower quantiles exhibit positive dependence on past returns while upper quantiles are marked by negative dependence. This pattern holds when accounting for stock specific characteristics such as market capitalization, industry, or exposure to market risk.

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Copy reference link   DOI: 10.1080/0144929X.2010.535969

Abstract: Decision support systems (DSS) play an important role in supporting scheduling tasks in industrial settings. In this paper, a special aspect of DSS for scheduling, namely their development, implementation and usage in relation to user participation, is examined. The outlined research model proposes that different forms of user participation lead to different levels of model complexity. This complexity influences in turn such outcome variables like system performance and user satisfaction. The research model integrates several existing concepts from technology acceptance, planned behaviour, involvement, and participation research as well as control theory. These theories are expanded by the dynamics of the modelling process. For the empirical analysis, multiple case studies examining different cases of DSS development and implementation processes in different settings were conducted.

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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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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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Copy reference link   DOI: 10.1007/s10551-011-0997-4

Abstract: In this article, we hypothesize that leaders who display group-oriented values (i.e., values that focus on the welfare of the group rather than on the self-interest of the leader) will be evaluated more positively by their followers than leaders who do not display group-oriented values. Importantly, we expected these effects to be more pronounced for leaders who are ingroup members (i.e., stemming from the same social group as their followers) than for leaders who are outgroup members (i.e., leaders stemming from a different social group than their followers). We tested our hypotheses in two studies. Results of a field study (N = 95) showed the expected relationship between leaders’ group-oriented values and followers’ identification with their leaders. A scenario study (N = 137) replicated the results and extended it to followers’ endorsement of their leaders. Overall, these findings suggest that displaying group-oriented values pays off more for ingroup than for outgroup leaders.

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Copy reference link   DOI: 10.1287/trsc.1110.0382

Abstract: The U.S. truck driver scheduling problem (US-TDSP) is the problem of visiting a sequence of λ locations within given time windows in such a way that driving and working activities of truck drivers comply with U.S. hours-of-service regulations. In the case of single time windows it is known that the US-TDSP can be solved in O(λ3) time. In this paper, we present a scheduling method for the US-TDSP that solves the single time window problem in O(λ2) time. We show that in the case of multiple time windows the same complexity can be achieved if the gap between subsequent time windows is at least 10 hours. This situation occurs, for example, if, because of opening hours of docks, handling operations can only be performed between 8.00 a.m. and 10.00 p.m. Furthermore, we empirically show that for a wide range of other problem instances the computational effort is not much higher if multiple time windows are considered.

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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: 10.1016/j.obhdp.2011.10.006

Abstract: We examined how procedural fairness interacts with empowering leadership to promote employee OCB. We focused on two core empowering leadership types—encouraging self-development and encouraging independent action. An experiment revealed that leaders encouraging self-development made employees desire status information more (i.e., information regarding one’s value to the organization). Conversely, leaders encouraging independent action decreased employees’ desire for this type of information. Subsequently, a multisource field study (with a US and German sample) showed that encouraging self-development strengthened the relationship between procedural fairness and employee OCB, and this relationship was mediated by employees’ self-perceived status. Conversely, encouraging independent action weakened the procedural fairness-OCB relationship, as mediated by self-perceived status. This research integrates empowering leadership styles into relational fairness theories, highlighting that multiple leader behaviors should be examined in concert and that empowering leadership can have unintended consequences.

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Copy reference link   DOI: 10.1016/j.enpol.2012.08.049

Abstract: The reduction of greenhouse gases (GHG) is a highly prevalent public policy goal among European Union member countries. In the new White Paper on transport, the role of road freight transports in this is strongly emphasized. This far, however, the efficiency practices utilised in logistics firms are less studied. Drawing from policy goals and new survey data on 295 road transport firms our results show that hauliers are aware of the possible energy efficiency actions but lack the knowledge and resources to fully utilize them. Energy efficiency seems also to be unimportant for many shippers, so there are no incentives for hauliers to improve it. Examples from various countries show that clear energy efficiency improvements can be achieved with active cooperation between hauliers, shippers and policy makers. Such cooperation can be developed in Finland through the sectoral energy efficiency agreements. The novelty and the utility of these results allow scholars to answer important open questions in the national-level determinants of enhancing energy efficiency practices among road freight hauliers, and contribute to our understanding of how these can be fostered in public policies.

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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: 10.1515/rmeef-2012-0004

Abstract: This paper estimates the Beveridge curve of Egypt for the period from 2004 to 2010, using quarterly data for both the private sector and the public sector. Our results confirm the negative relationship between unemployment and private job offers for the Egyptian labor market. The Beveridge curve has shifted inwards during the observation period, indicating an improved matching process between labor supply and private labor demand. However, the results for the public sector are poor, showing the Beveridge curve relation cannot be used to explain the relationship between government sector vacancy rates and the unemployment rate.

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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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