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.
Michaelis, Björn, Ivan Vasilev and Georg Rainer (2014): Das "Complex Leadership Assessment" als Ausgangspunkt erfolgreicher Führungskräfteentwicklung: Theorie, Konzeption, Validierung und Anwendungsbereiche, Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung : Zfbf, 66 (8): 658-693.
Abstract: Das „Complex Leadership Assessment“ (CLA) ist ein multidimensionales Instrument zur Erfassung von Führungskompetenzen. Der vorliegende Beitrag hat das Ziel, das theoretische Modell und das dazugehörige Assessment-Tool des CLA ausführlich vorzustellen und seine Anwendung als 360-Grad-Feedback-Instrument zu diskutieren. Im Hinblick auf eine effiziente und zeitökonomische Sammlung und Auswertung der Daten wurde dieses als Online-Instrument konzipiert und zudem als ein Microsoft Excel-basiertes Auswertungstool entwickelt. Der Inhalt des Auswertungsberichts und seine Rolle als Ausgangspunkt für die Wahl und Ableitung von individuell angepassten Führungskräfteentwicklungsmaßnahmen werden erläutert und diskutiert. Anschließend werden die Ergebnisse einer ersten Untersuchung zur Validität des Modells und zu den psychometrischen Eigenschaften des Assessment-Tools präsentiert.
Kempf, Alexander, Christoph Merkle and Alexandra Niessen-Ruenzi (2014): Low Risk and High Return – Affective Attitudes and Stock Market Expectations, European Financial Management, 20 (5): 995-1030.
Abstract: This experimental study investigates the impact of affective attitudes on risk and return estimates of stocks. Participants rate well-known blue-chip firms on an affective scale and forecast risk and return of the firms’ stock. We find that positive affective attitudes lead to a prediction of high return and low risk, while negative attitudes lead to a prediction of low return and high risk. This bias increases with participants’ confidence in their ratings and decreases with financial literacy. Firm characteristics such as a firm’s marketing expenditures and the strength of its brand have a positive impact on its affective rating.
Fandrich, Thomas, Christian Barrot and Jan U. Becker (2014): Deckungsbeitragsorientierte Steuerung von Targeting-Kampagnen, Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung, 66 (11): 602-625.
Abstract: Eine Vielzahl von Studien konnte zeigen, dass sich die Konversionsraten in der Neukundenan- sprache durch Targeting steigern lassen. Konkrete Aussagen über den ökonomischen Erfolg von Targeting-Kampagnen können allerdings auf dieser Basis bisher nicht getroffen werden. Der vorliegende Beitrag stellt daher eine deckungsbeitragsorientierte Sichtweise zur Bewer- tung des Targeting vor, so dass eine Einschätzung zur Profitabilität bereits vor der Durchfüh- rung von Targeting-Kampagnen möglich ist. Auf Basis dieser Überlegungen wird erläutert, wie ein deckungsbeitragsorientiertes Targeting in der Unternehmenspraxis anzuwenden ist und wann sich die gezielte gegenüber der ungezielten Kundenansprache auszahlt.
Goel, Asvin and Thibaut Vidal (2014): Hours of Service Regulations in Road Freight Transport: An Optimization-Based International Assessment, Transportation Science, 48 (3): 391-412.
Abstract: Driver fatigue is internationally recognized as a significant factor in approximately 15%–20% of commercial road transport crashes. In their efforts to increase road safety and improve working conditions of truck drivers, governments worldwide are enforcing stricter limits on the amount of working and driving time without rest. This paper describes an effective optimization algorithm for minimizing transportation costs for a fleet of vehicles considering business hours of customers and hours of service regulations. The algorithm combines the exploration capacities of population-based metaheuristics, the quick improvement abilities of local search, with forward labeling procedures for checking compliance with complex hours of service regulations. Several speed-up techniques are proposed to achieve an overall efficient approach. The proposed approach is used to assess the impact of different hours of service regulations from a carrier-centric point of view. Extensive computational experiments for various sets of regulations in the United States, Canada, the European Union, and Australia are conducted to provide an international assessment of the impact of different rules on transportation costs and accident risks. Our experiments demonstrate that European Union rules lead to the highest safety, whereas Canadian regulations are the most competitive in terms of economic efficiency. Australian regulations appear to have unnecessarily high risk rates with respect to operating costs. The recent rule change in the United States reduces accident risk rates with a moderate increase in operating costs.
Hoen, Kristel M.R., Tarkan Tan, Jan C. Fransoo and Geert-Jan van Houtum (2014): Switching transport modes to meet voluntary carbon emission targets, Transportation Science, 48 (4): 592-608.
Abstract: The transport sector is the second largest carbon emissions contributor in Europe and its emissions continue to increase. Many producers are committing themselves to reducing transport emissions voluntarily, possibly in anticipation of increasing transport prices. In this paper we study a producer that has outsourced transport and has decided to cap its carbon emissions from outbound logistics for a group of customers. Setting an emission constraint for a group of customers allows for taking advantage of the portfolio effect. We focus on reducing emissions by switching transport modes within an existing network, since this has a large impact on emissions. In addition, the company sets the sales prices, which influence demand. The problem is solved by decomposing the multi-product problem into several single-product problems, which we then analyze separately. Using the single-product solutions we create an efficient frontier which reflects the trade-off between total carbon emissions and the total prot. It is observed that a diminishing rate of return applies in reducing emissions by switching transport modes. In a case study we apply our method to a producer of bulk liquids and find that emissions can be reduced by 10% at only a 0.7% increase in total logistics cost.
Heuvel, Frank P. van den, Langen, Peter W. de, Donselaar, Karel H. van and Jan C. Fransoo (2013): Spatial concentration and location dynamics in logistics: The case of a Dutch province, Journal of Transport Geography, 28: 39-48.
Abstract: This paper analyzes location dynamics of logistics establishments in relation to spatial clustering. Such an analysis is relevant for both decision makers within logistics firms and regional policy makers, as co-located logistics establishments as well as society as a whole can benefit from co-location of logistics establishments. For this analysis, longitudinal empirical data on logistics establishments in a Dutch province are used. Six general conclusions are drawn on spatial concentration and location decisions of logistic firms. First, logistics employment spatially concentrates in particular areas, called Absolute and Relative Concentration areas (AREC areas). Second, larger logistics establishments locate relatively often in AREC areas. Third, logistics establishments that relocate within the province locate relatively more in AREC areas than in other areas, while new logistics establishments do not. Fourth, logistics establishments from AREC areas are more likely to relocate in AREC areas than establishments from non-AREC areas. Hence, experience matters in location decisions of logistics firms. Fifth, transport establishments locate relatively often in emerging AREC areas. Finally, data on employment growth show that intermodal container terminals attract logistics employment, in their direct vicinity as well as on a municipal level.
Meissner, Joern, Arne K. Strauss and Kalyan Talluri (2013): An enhanced concave program relaxation for choice network revenue management, Production and Operations Management, 22 (1): 71-87.
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.
Becker, Austin H., Vladimir Stenek, Dong-Wook Song, Michael Savonis, Stefan Rahmstorf, Adolf K.Y Ng, Susumu Naruse, Steve Messner, Andrew Mather, Miguel Esteban, Philippe Crist, Laurent Cretegny, Edgard Cabrera, Regina Asariotis, Michele Acciaro and Adonis F. Velegrakis (2013): A note on climate change adaptation for seaports: a challenge for global ports, a challenge for global society, Climatic Change, 120 (4): 683-695.
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.
Barrot, Christian, Jan U. Becker and Jannik Meyners (2013): Impact of service pricing on referral behavior, European Journal of Marketing, 47 (7): 1052-1066.
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.
Fransoo, Jan C. and Chung-Yee Lee (2013): The critical role of ocean container transport in global supply chain performance, Production and Operations Management, 22 (2): 253-268.
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.
Baur, Dirk G. (2013): The structure and degree of dependence: A quantile regression approach, Journal of Banking & Finance, 37 (3): 786-798.
Abstract: The copula function defines the degree of dependence and the structure of dependence. This paper proposes an alternative framework to decompose the dependence using quantile regression. We demonstrate that the methodology provides a detailed picture of dependence including asymmetric and non-linear relationships. In addition, changes in the degree or structure of dependence can be modeled and tested for each quantile of the distribution. The empirical part applies the framework to three different sets of financial time-series and demonstrates substantial differences in dependence patterns among asset classes and through time. The analysis of 54 global equity markets shows that detailed information about the structure of dependence is crucial to adequately assess the benefits of diversification in normal times and crisis times.
McKinnon, Alan C. (2013): The possible influence of the shipper on carbon emissions from deep-sea container supply chains: An empirical analysis, Maritime Economics & Logistics, 16 (1): 1-19.
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.
Heuvel, Frank P. van den, Langen, Peter W. de, Donselaar, Karel H. van and Jan C. Fransoo (2013): Regional logistics land allocation policies: stimulating spatial concentration of logistics firms, Transport Policy, 30: 275-282.
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.
Fang, Jiarui, Lei Zhao, Jan C. Fransoo and Tom van Woensel (2013): Sourcing strategies in supply risk management: An apporoximate dynamic programming approach, Computers & Operations Research, 40 (5): 1371-1382.
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.
Moritz, Steffen, Niels Van Quaquebeke, Tania M. Lincoln, Ulf Köther and Christina Andreou (2013): Can we trust the internet to measure psychotic symptoms?, Schizophrenia Research and Treatment: 1-5.
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.
Baur, Dirk G. (2013): The autumn effect of gold, Research in International Business and Finance, 27 (1): 1-11.
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.
Piecyk, Maja I. and Alan C. McKinnon (2013): Application of the Delphi method to the forecasting of long-term trends in road freight, logistics and related CO2 emissions, International Journal of Transport Economics, 15 (2): 241-266.
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.
Evangelista, Pietro, Alan C. McKinnon and Edward Sweeney (2013): Technology adoption in small and medium-sized logistics providers, Industrial Management & Data Systems, 113 (7): 967-989.
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.
McKinnon, Alan C. (2013): Starry-eyed: journal rankings and the future of logistics research, International Journal of Physical Distribution & Logistics Management, 43 (1): 6-17.
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.
Raasch, Christina, Viktor Lee, Sebastian Spaeth and Cornelius Herstatt (2013): The rise and fall of interdisciplinary research: The case of open source innovation, Research Policy, 42 (5): 1138-1151.
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.
O'Connell, Maurice, Stewart Hickey, Maria Besiou, Colin Fitzpatrick and Luk N. Van Wassenhove (2013): Feasibility of Using Radio Frequency Identification to Facilitate Individual Producer Responsibility for Waste Electrical and Electronic Equipment, Journal of Industrial Ecology, 17 (2): 213-223.
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.
Bourlakis, Michael A., ManMohan S. Sodhi and Byung-Gak Son (2013): The relative emphasis on supply-chain/logistics topics by UK industry in hiring postgraduates and by UK universities in teaching and research, International Journal of Logistics Research and Applications, 16 (6): 506-521.
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.
Goel, Asvin and Frank Meisel (2013): Workforce Routing and Scheduling for Electricity Network Maintenance with Downtime Minimization, European Journal of Operational Research, 231 (1): 210-228.
Abstract: We investigate a combined routing and scheduling problem for the maintenance of electricity networks. In electricity networks power lines must be regularly maintained to ensure a high quality of service. For safety reasons a power line must be physically disconnected from the network before maintenance work can be performed. After completing maintenance work the power line must be reconnected. Each maintenance job therefore consists of multiple tasks which must be performed at different locations in the network. The goal is to assign each task to a worker and to determine a schedule such that the downtimes of power lines and the travel effort of workers are minimized. For solving this problem, we combine a Large Neighborhood Search meta-heuristic with mathematical programming techniques. The method is evaluated on a large set of test instances which are derived from network data of a German electricity provider.
Nohe, Christoph, Björn Michaelis, Jochen I. Menges, Zhen Zhang and Karlheinz Sonntag (2013): Charisma and organizational change: A multilevel study of perceived charisma, commitment to change, and team performance, The Leadership Quarterly, 24 (2): 378-389.
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.
Thau, Stefan, Christian Tröster, Karl Aquino, Madan Pillutla and David De Cremer (2013): Satisfying Individual Desires or Moral Standards? Preferential Treatment and Group Members’ Self-Worth, Affect, and Behavior, Journal of Business Ethics, 113 (1): 133-145.
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.