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)
Mölders, Christina and Niels Van Quaquebeke (2017): When and why politicians’ disrespect affects voters’ trust in the political system: The role of social judgments and category prototypicality, Journal of Applied Social Psychology, 47 (9): 515-527.
Abstract: We propose that one politician's disrespectful behavior can spill over to voters' generalized judgments of politicians and thereby affect trust in the political system. We delineate the spillover effect along the basic dimensions of social judgment, communion, and agency. Moreover, we argue that any spillover effect is contingent on the focal politicians' category prototypicality, that is, their representativeness of politicians as such. Conducting an experiment (N = 392) and a field study (N = 273), we found that politicians' respect only affected trust through generalized communion ratings. This spillover only occurred if the observed politician was perceived as prototypical. Our findings provide new insights on when and how individual politicians may be able to undermine voters' trust in the political system.
Wiemer, Anita, Christina Mölders, Sebastian Fischer, Wolfram Kawohl and Wulf Rössler (2017): Effectiveness of Medical Rehabilitation on Return-to-Work Depends on the Interplay of Occupation Characteristics and Disease, Journal of occupational rehabilitation, 27 (1): 59-69.
Abstract: Introduction Work disability causes high costs for economy, organizations, and employees. However, medical rehabilitation does not always enable employees to return to their old jobs. In the present study, we investigated how disease classification and work characteristics interact in predicting the success of medical rehabilitation in terms of one's ability to return to a former job. Methods To this end, we matched 2009 patient data from the German Statutory Pension Insurance agency with job characteristics data from the Occupational Information Network (O*NET) 17.0 database. We used a multilevel approach and a sample of N = 72,029, nested in 194 occupational groups. Results We found that workers are less likely to reenter a former job if mental illnesses coincide with emotionally demanding labor and if musculoskeletal diseases coincide with extreme environmental conditions. We did not find different effects between occupational groups for other types of diseases (circulatory system, neoplasms, injuries, others). Conclusion Thus, the contextual overlap of disease and occupational characteristics notably lowers the chances of a successful return-to-work. These findings should be taken into account by physicians when attempting to set realistic goals for rehabilitation in collaboration with the patient and the funding agency.
Heuer, Justus, Christoph Merkle and Martin Weber (2017): Fooled by Randomness: Investor Perception of Fund Manager Skill, Review of Finance, 21 (2): 605-635.
Abstract: Return-chasing investors almost exclusively consider top-performing funds for their investment decisions. When drawing conclusions about the managerial skill of these top performers, they tend to neglect fund volatility and the cross-sectional information contained in the number of funds and the distribution of skill. In multiple surveys of sophisticated retail investors, we show that they do not fully understand the role of chance in experimental samples of fund populations. Respondents evaluate each fund in isolation and do not sufficiently account for fund volatility. They confuse risk taking with manager skill and are thus likely to over-allocate capital to lucky past winners.
Köhler, Christine, Murali K. Mantrala, Sönke Albers and Vamsi K. Kanuri (2017): A Meta-Analysis of Marketing Communication Carryover Effects, Journal of Marketing Research, 54 (6): 990-1008.
Abstract: To optimally set marketing communication (“marcom”) budgets, reliable estimates of short-term elasticities and carryover effects are required. Empirical generalizations from meta-analyses of prior field studies can help guide these decisions. However, the last such meta-analysis of marcom carryover effects was performed on Koyck model–based estimates collected before 1984 and was confined to mass media advertising. The authors update and extend extant empirical generalizations via two meta-analyses of carryover estimates compiled from studies encompassing personal selling, targeted advertising, and mass media advertising, using diverse model forms, until 2015. The first is focused on and utilizes 918 estimates of the carryover proportion of the total effect, termed long-term share of the total effect, and the second focuses on 863 derivable estimates of 90% implied duration intervals. The authors find the mean long-term shares of the total effect for personal selling (.687) and targeted advertising (.650) are distinctly larger than that for mass media advertising (.523) and the corresponding median 90% implied duration intervals are 12.6, 2, and 3.4 months, respectively. The authors conclude by discussing differences by model type and the implications for marcom budget-setting and analyses.
Franceschetti, Anna, Dorothee Honhon, Gilbert Laporte, Tom van Woensel and Jan C. Fransoo (2017): Strategic fleet planning for city logistics, Transportation Research. Part B: Methodological, 95: 19-40.
Abstract: We study the strategic problem of a logistics service provider managing a (possibly heterogeneous) fleet of vehicles to serve a city in the presence of access restrictions. We model the problem as an area partitioning problem in which a rectangular service area has to be divided into sectors, each served by a single vehicle. The length of the routes, which depends on the dimension of the sectors and on customer density in the area, is calculated using a continuous approximation. The aim is to partition the area and to determine the type of vehicles to use in order to minimize the sum of ownership or leasing, transportation and labor costs. We formulate the problem as a mixed integer linear problem and as a dynamic program. We develop efficient algorithms to obtain an optimal solution and present some structural properties regarding the optimal partition of the service area and the set of vehicle types to use. We also derive some interesting insights, namely we show that in some cases traffic restrictions may actually increase the number of vehicles on the streets, and we study the benefits of operating a heterogeneous fleet of vehicles.
Boulaksil, Youssef, Jan C. Fransoo and Tarkan Tan (2017): Capacity reservation and utilization for a manufacturer with uncertain capacity and demand, OR Spektrum, 39 (3): 689-709.
Abstract: We consider an original equipment manufacturer (OEM) who has outsourced the production activities to a contract manufacturer (CM). The CM produces for multiple OEMs on the same capacitated production line. The CM requires that all OEMs reserve capacity slots before ordering and responds to these reservations by acceptance or partial rejection, based on allocation rules that are unknown to the OEM. Therefore, the allocated capacity for the OEM is not known in advance, also because the OEM has no information about the reservations of the other OEMs. Based on a real-life situation, we study this problem from the OEM’s perspective who faces stochastic demand and stochastic capacity allocation from the contract manufacturer. We model this problem as a single-item, periodic review inventory system, and we assume linear inventory holding, backorder, and reservation costs. We develop a stochastic dynamic programming model, and we characterize the optimal policy. We conduct a numerical study where we also consider the case that the capacity allocation is dependent on the demand distribution. The results show that the optimal reservation policy is little sensitive to the uncertainty of capacity allocation. In that case, the optimal reservation quantities hardly increase, but the optimal policy suggests increasing the utilization of the allocated capacity. Further, in comparison with a static policy, we show that a dynamic reservation policy is particularly useful when backorder cost and uncertainty are low. Moreover, we show that for the contract manufacturer, to achieve the desired behavior, charging little reservation costs is sufficient.
Pallis, Athanasios A., Francesco Parola and Michele Acciaro (2017): Empirical methods in the study of maritime economics, Maritime Economics & Logistics, 19 (2): 189-195.
Meyners, Jannik, Christian Barrot, Jan U. Becker and Anand Bodapati (2017): Reward-scrounging in customer referral programs, International Journal of Research in Marketing, 34 (2): 382-398.
Abstract: Rewarding existing customers for the recruitment of new ones has become an increasingly popular acquisition tool for companies. However, when a company rewards the recruitment of a new customer, managers are unaware of whether the rewarded referral was actually necessary or whether “reward-scrounging” has occurred because the referral receiver would have converted anyway. As a consequence, companies risk overestimating the effectiveness of their referral programs, which is why gaining insights into how and when reward-scrounging occurs is crucial. In this study, we employ a large data set from the telecommunications industry to analyze the drivers of reward-scrounging. The results indicate that reward-scrounging reduces the effectiveness of referral reward programs over time and that its likelihood depends on both the referral sender's network position and the company's marketing activities. The findings are used to develop managerial means to alleviate the negative effects of reward-scrounging.
Goel, Asvin and Stefan Irnich (2017): An Exact Method for Vehicle Routing and Truck Driver Scheduling Problems, Transportation Science, 51 (2): 737-754.
Abstract: In most developed countries working hours of truck drivers are constrained by hours of service regulations. When optimizing vehicle routes, trucking companies must consider these constraints to assure that drivers can comply with the regulations. This paper studies the combined vehicle routing and truck driver scheduling problem (VRTDSP), which generalizes the well-known vehicle routing problem with time windows by considering working hour constraints. A branch-and-price algorithm for solving the VRTDSP is presented. This is the first algorithm that solves the VRTDSP to proven optimality.
Steinker, Sebastian, Kai Hoberg and Ulrich W. Thonemann (2017): The Value of Weather Information for E-Commerce Operations, Production and Operations Management, 26 (10): 1854-1874.
Abstract: To be efficient, logistics operations in e-commerce require warehousing and transportation resources to be aligned with sales. Customer orders must be fulfilled with short lead times to ensure high customer satisfaction, and the costly under-utilization of workers must be avoided. To approach this ideal, forecasting order quantities with high accuracy is essential. Many drivers of online sales, including seasonality, special promotions and public holidays, are well known, and they have been frequently incorporated into forecasting approaches. However, the impact of weather on e-commerce operations has not been rigorously analyzed. In this study, we integrate weather data into the sales forecasting of the largest European online fashion retailer. We find that sunshine, temperature, and rain have a significant impact on daily sales, particularly in the summer, on weekends, and on days with extreme weather. Using weather forecasts, we have significantly improved sales forecast accuracy. We find that including weather data in the sales forecast model can lead to fewer sales forecast errors, reducing them by, on average, 8.6% to 12.2% and up to 50.6% on summer weekends. In turn, the improvement in sales forecast accuracy has a measurable impact on logistics and warehousing operations. We quantify the value of incorporating weather forecasts in the planning process for the order fulfillment center workforce and show how their incorporation can be leveraged to reduce costs and increase performance. With a perfect information planning scenario, excess costs can be reduced by 11.6% compared with the cost reduction attainable with a baseline model that ignores weather information in workforce planning.
Hoberg, Kai, Margarita Protopappa-Sieke and Sebastian Steinker (2017): How do Financial Constraints and Financing Costs Affect Inventories? An Empirical Supply Chain Perspective, International Journal of Physical Distribution & Logistics Management, 47 (6): 516-535.
Abstract: PurposeThe purpose of this paper is to identify the interplay between a firm’s financial situation and its inventory ownership in a single-firm and a two-firm perspective.Design/methodology/approachThe analysis uses different secondary data sources to quantify the effect of both financial constraints and cost of capital on inventory holdings of public US firms. The authors first adopt a single-firm perspective and analyze whether financial constraints and cost of capital do generally affect the amount of inventory held. Next, the authors adopt a two-firm perspective and analyze the inventory ownership in customer-supplier relationships.FindingsInventory levels are affected by financial constraints and cost of capital. Results indicate that higher costs of capital are weakly associated with lower inventories. However, contrary to the authors’ expectations, firms that are less financially constrained hold less inventories than firms that are more financially constrained. Finally, the authors find that customers hold the larger fraction of supply chain inventory in supplier-customer dyads.Practical implicationsThe authors’ results indicate that financial considerations generally play a role in inventory management. However, inventory holdings seem to be influenced only slightly by financing costs and inventory holdings between supplier and customer seem to be less than optimal from a financial perspective. Considering those financial aspects can lead to relevant financial advantages.Originality/valueIn contrast to other recent research, the authors study how the financial situation of a firm affects its inventory levels (not vice versa) and also consider inventories from a two-firm perspective.
Minner, Stefan and Sandra Transchel (2017): Order variability in perishable product supply chains, European Journal of Operational Research, 260 (1): 93-107.
Abstract: Abstract Empirical research has shown that the degree of order variability in supply chains is significantly influenced by product- and industry-specific factors. This paper analyzes the impact of perishability on order variability and the bullwhip effect in supply chains. We decompose the ordering process of a retailer into a sales and an outdating process and quantify their short- and long-term variability and correlation. We find differences to non-perishable product supply chains driven by the impact of the inventory depletion policy, stock-out management, and retailers service level requirement. These three factors significantly affect the retailer’s order variability and thus the decision making process and the profitability of the upstream supply stage. For the majority of instances, the perishable nature of a product results in the ordering process having a lower variability than the demand process. Only when inventory depletion is dominated by last-in-first-out in high service level environments, variability amplification can be observed. We propose a dynamic ordering policy for the upstream supply stage, taking into account negative correlation of retailer orders between periods. This dynamic policy may lead to substantial performance improvements. In a sensitivity analysis, we investigate the impact of shelf life, lead time and demand correlation.
Anne Michel, Chris Baumann and Leonie Gayer (2017): Thank you for the music – or not? The effects of in-store music in service settings, Journal of Retailing and Consumer Services, 36: 21-32.
Abstract: Abstract Managers believe that in-store music has positive effects on customers’ responses; consequently, it is widely used in different service settings such as supermarkets and coffee shops. However, prior research shows inconclusive results about the effects of in-store music – namely positive, non-significant and even negative effects. To shed more light on the actual effects of in-store music, the authors provide a systematic literature review of journal articles to explore such effects in six frequently studied service settings: supermarkets, retail, restaurants, bars, cafeterias and banks. The present literature review has three objectives. First, the authors develop a conceptual framework to provide structure and guidance to the research stream about in-store music in service settings. Second, the authors take a closer look at the existence of in-store music (i.e., whether the presence of in-store music helps, has no effect, or ‘hurts’) as well as on the design of in-store music for each service setting separately (i.e., how in-store music has to be designed to have beneficial effects). Third, after elaborating the status quo (what do we know?), this review identifies areas for future research (what do we need to know?).
Merkle, Christoph (2017): Financial overconfidence over time: Foresight, hindsight, and insight of investors, Journal of Banking & Finance, 84 (November): 68-87.
Abstract: Financial overconfidence leads to increased trading activity, higher risk taking, and less diversification. In a panel survey of online brokerage clients in the UK, we ask for stock market and portfolio expectations and derive several overconfidence measures from the responses. Overconfidence is identified in the sample in various forms. By matching survey data with participants’ transactions and portfolio holdings, we find an influence of overplacement on trading activity, of overprecision and overestimation on diversification, and of overprecision and overplacement on risk taking. We explore the evolution of overconfidence over time and identify a role of past success and hindsight on subsequent investor overconfidence in line with learning to be overconfident.
Mölders, Christina and Niels Van Quaquebeke (2017): Some like it hot: How voters’ attitude towards disrespect in politics affects their judgments of candidates, Journal of Social and Political Psychology, 5 (1): 58-81.
Abstract: In public debates, political candidates often attack their opponents disrespectfully. Research revealed mixed effects of such behavior on voters’ candidate judgments. In order to understand these results, we argue that it is necessary to consider onlookers’ general attitude towards disrespect in politics. Across an experimental design (N = 229) and a field study (N = 199), we found that voters who consider disrespect a “necessary evil” in the political arena judged disrespectful politicians as more communal and more agentic. Furthermore, they displayed a higher intention to vote as well as actually voted more in favor of disrespectful candidates compared to voters who disapproved of disrespect in politics. The results show that the success of a disrespectful communication strategy substantively depends on the audience.
Petersen, Moritz and Sebastian Brockhaus (2017): Dancing in the dark: Challenges for product developers to improve and communicate product sustainability, Journal of Cleaner Production, 161: 345-354.
Abstract: Developing more sustainable products provides an opportunity to address wasteful consumption practices. Yet, despite their best efforts to improve product sustainability, many companies admit to lacking a comprehensive sustainability strategy. Further, they have only limited insights into their consumers' expectations towards product sustainability. This manuscript presents the findings of a behavioral experiment on consumers' reactions towards companies' development efforts. We investigate how the development efforts “more sustainable materials” and “green exterior design” influence consumers' perceptions of product quality, sustainability, and aesthetics for two exemplary products. In summary, both efforts signal higher product sustainability to consumers. Yet, this may come at a cost as these changes may also signal impediments with respect to quality and aesthetics. We juxtapose our findings with signaling theory to derive implications for research and practice.
van Loon, Patricia, Lieven Deketele, Joost Dewaele, Alan C. McKinnon and Christine Rutherford (2016): A comparative analysis of carbon emissions from online retailing of fast moving consumer goods, Journal of Cleaner Production, 106: 478-486.
Abstract: Online retailing can lower the environmental impact of shopping under specific circumstances. As a result of the numerous variables involved, most of the studies that have compared the carbon footprints of online and conventional retailing only take a partial view. To make a more holistic assessment, this study develops a framework that accounts for all the relevant environmental factors relating to retail/e-commerce activities. Variables related to consumer shopping behaviour such as basket size, transport mode, trip length and trip frequency are included in the analysis. This framework is used to build a Life Cycle Analysis model. The model is applied to different online retail methods for fast-moving consumer goods in the United Kingdom. We find that, within the “last mile” link to the home, the nature of the consumer's behaviour in terms of travel, choice of e-fulfilment method and basket size are critical factors in determining the environmental sustainability of e-commerce. The nature and routing of van deliveries, the amount and type of packaging used, and the energy efficiency of shop and e-fulfilment centre operations are also identified as significant contributors to climate change potential. The results of this study indicate ways in which e-commerce can be made more environmentally sustainable, encouraging consumers to reduce complementary shopping trips and maximise the number of items per delivery. This study identifies the strengths and weaknesses of a range of e-retail channels and provides a basis for future research on the environmental sustainability of online retailing of fast-moving consumer goods.
Schuh, Sebastian C., Niels Van Quaquebeke, Anja S. Göritz, Katherine Xin, David De Cremer and Rolf van Dick (2016): Mixed feelings, mixed blessing? How ambivalence in organizational identification relates to employees’ regulatory focus and citizenship behaviors., Human Relations, 69 (12): 2224-2249.
Abstract: Recent conceptual work suggests that the sense of identity that employees develop vis-vis their organization goes beyond the traditional notion of organizational identification and can also involve conflicting impulses represented by ambivalent identification. In this study, we seek to advance this perspective on identification by proposing and empirically examining important antecedents and consequences. In line with our hypotheses, an experimental study (N = 199 employees) shows that organizational identification and ambivalent identification interactively influence employees’ willingness to engage in organizational citizenship behavior. The effect of organizational identification on organizational citizenship behavior is significantly reduced when employees experience ambivalent identification. A field study involving employees from a broad spectrum of organizations and industries (N = 564) replicated these findings. Moreover, results show that employees’ promotion and prevention focus form differential relationships with organizational identification and ambivalent identification, providing first evidence for a link between employees’ regulatory focus and the dynamics of identification. Implications for the expanded model of organizational identification and the understanding of ambivalence in organizations are discussed.
Ulusoy, Nazan, Christina Mölders, Sebastian Fischer, Hakan Bayur, Serol Deveci, Yücel. Demiral and Wulf Rössler (2016): A Matter of Psychological Safety: Commitment and Mental Health in Turkish Immigrant Employees in Germany, Journal of Cross-Cultural Psychology, 47 (4): 626-645.
Abstract: Immigration entails the risk of feeling disconnected in the receiving society, in both everyday life and the workplace. This may affect the way immigrant employees relate to their job and their workplace. In this article, we investigate the affective commitment of Turkish immigrant employees in Germany (TG) and their subsequent work engagement, mental health, and turnover intention. Specifically, we compared TG (n = 201) to both German employees in Germany (GG; n = 1,406) and Turkish employees in Turkey (TT; n = 362). Our results show that the effect of immigration background on mental health, work engagement, and turnover through affective commitment depends on the level of perceived psychological safety at the workplace, specifically in terms of an open and inclusive work climate. The results suggest that psychological safety is particularly helpful in enhancing immigrant employees’ positive attitudes toward the workplace. Our study provides new insights on the well-being of immigrant employees, specifically TG, and the different needs of diverse workforces. Given our findings, future studies should explore more deeply the positive influences that psychological safety has on minority groups and their workplace attitudes.
Pinçe, Çerağ, Mark Ferguson and L. Beril Toktay (2016): Extracting Maximum Value from Consumer Returns: Allocating between Remarketing and Refurbishing for Warranty Claims, Manufacturing & Service Operations Management, 18 (4): 475-492.
Abstract: The high cost of lenient return policies force consumer electronics original equipment manufacturers (OEMs) to look for ways to recover value from lightly used consumer returns, which constitute a substantial fraction of sales and cannot be resold as new products. Refurbishing to remarket or to fulfill warranty claims are the two common disposition options considered to unlock the value in consumer returns, which present the OEM with a challenging problem: How should an OEM dynamically allocate consumer returns between fulfilling warranty claims and remarketing refurbished products over the product’s life cycle? We analyze this dynamic allocation problem and find that when warranty claims and consumer returns are jointly taken into account, the remarketing option is generally dominated by the option of refurbishing and earmarking consumer returns to fulfill warranty claims. Over the product’s life cycle, the OEM should strategically emphasize earmarking of consumer returns at the early stages of the life cycle to build up earmarked inventory for the future warranty demand, whereas it should consider remarketing at the later stages of the life cycle after enough earmarked inventory is accumulated or most of the warranty demand uncertainty is resolved. These findings show that, for product categories with significant warranty coverage and refund costs, remarketing may not be the most profitable disposition option even if the product has strong remarketing potential and the OEM has the pricing leverage to tap into this market. We also show that the optimal dynamic disposition policy is a price-dependent base-stock policy where the earmarked quantity is capacitated by the new and refurbished product sales quantities. We compare with the myopic policy and show that it is a good heuristic for the optimal dynamic disposition policy.
Alan C. McKinnon (2016): Freight Transport Deceleration: Its Possible Contribution to the Decarbonisation of Logistics, Transport Reviews, 36 (4): 418-436.
Abstract: Abstract The paper challenges the conventional view that the movement of goods through supply chains must continue to accelerate. The compression of freight transit times has been one of the most enduring logistics trends but may not be compatible with governmental climate change policies to cut greenhouse gas emissions by 60–80% by 2050. Opportunities for cutting CO2 emissions by ‘despeeding’ are explored within a freight decarbonisation framework and split into three categories: direct, indirect and consequential. Discussion of the direct carbon savings focuses on the trucking and deep-sea container sectors, where there is clear evidence that slower operation cuts cost, energy and emissions and can be accommodated within current supply chain requirements. Indirect emission reductions could accrue from more localised sourcing and a relaxation of just-in-time (JIT) replenishment. Acceleration of logistical activities other than transport could offset increases in freight transit times, allowing the overall carbon intensity of supply chains to reduce with minimal loss of performance. Consequential deceleration results from other decarbonisation initiatives such as freight modal split and a shift to lower carbon fuels. Having reviewed evidence drawn from a broad range of sources, the paper concludes that freight deceleration is a promising decarbonisation option, but raises a number of important issues that will require new empirical research.
Koenig, Matthias and Joern Meissner (2016): Risk minimising strategies for revenue management problems with target values, Journal of Operational Research Society, 67: 402-411.
Abstract: Consider a risk-averse decision maker in the setting of a single-leg dynamic revenue management problem with revenue controlled by limiting capacity for a fixed set of prices. Instead of focussing on maximising the expected revenue, the decision maker has the main objective of minimising the risk of failing to achieve a given target revenue. Interpreting the revenue management problem in the framework of finite Markov decision processes, we augment the state space of the risk-neutral problem definition and change the objective function to the probability of failing a certain specified target revenue. This enables us to obtain a dynamic programming solution that generates the policy minimising the risk of not attaining this target revenue. We compare this solution with recently proposed risk-sensitive policies in a numerical study and discuss advantages and limitations.
Becker, Jan U. and Sönke Albers (2016): The limits of analyzing service quality data in public transport, Transportation, 43 (5): 823-842.
Abstract: In recent years, management and academics have increasingly focused on quality management in public transport. In particular, many public transport operators regularly monitor their service quality over time and use these data to assess quality performance (e.g., for performance-based quality contracts) and to determine managerial decisions (e.g., budget allocations for service improvements). However, despite the widespread applications of service quality data in practice, it is unclear whether cross-sectional analyses and cross-temporal comparisons of service quality data provide valid insights for quality management purposes. In this study, we investigate the usability of cross-sectional analyses and cross-temporal comparisons of service quality data by conducting an empirical study that tracked a panel’s perceptions of the service quality of public transport and its choice over the course of three consecutive years. The results demonstrate that cross-sectional analyses provide valid insights for quality management. However, cross-temporal comparisons should be interpreted carefully because the results of these comparisons are surprisingly unreliable. In fact, we find that service quality data do not provide reliable results over time and therefore conclude that cross-temporal comparisons of service quality data must be interpreted with caution for quality management in public transport.
Liu, Xiaohong and Alan C. McKinnon (2016): Theory development in China-based supply chain management research: A literature review, The International Journal of Logistics Management, 27 (3): 972-1001.
Abstract: Purpose Although well established in North America and Europe, the study of supply chain management (SCM) is still at a relatively early stage in its development in China. The transformation and rapid growth of the Chinese economy has, nevertheless, created major supply chain challenges for the country making SCM a very fertile area of business research. In Western countries, research on SCM is now mature and underpinned by a solid body of theory. The purpose of this paper is to examine the extent to which research on SCM in China has also developed a theoretical basis. Design/methodology/approach The research involved a systematic review of 150 papers published in 18 journals in the fields of SCM, logistics, operations management and marketing during the period 2004-2014. A three-step process was adopted to select appropriate journals, identify relevant articles and classify them in terms of their theoretical content. Findings The study has confirmed that, because of its unique economic, political and cultural setting, supply chain development in China has presented new research challenges. Many examples were found of researchers conducting quasi-experiments to test the applicability of established theories to Chinese supply chains while others have tried to develop new ones that are more closely aligned with the Chinese economy and management practices. Researchers have exhibited a heavy reliance on existing theories, with relatively few attempting to customise them to the Chinese context or to construct new ones. Research limitations/implications Given the broad scope of SCM, it is possible that the journal and paper selection processes have accidentally screened out relevant papers. The total sample of papers is, nevertheless, large for an explorative study of this type and should, therefore, give an overall impression of the level of theory development in Chinese SCM research. Practical implications This study provides a general framework within which to assess the application and development of theories in the Chinese SCM context. It is principally concerned with three components: the SCM phenomena studied, the Chinese business environment and the theoretical contribution of the research. The paper is targeted more at an academic audience than practitioners, though provides an overview of the research so far undertaken on SCM in China that should be of wider interest. Originality/value This study is the first of its kind to review China-based SCM research systematically from the perspective of theory development. It should support the evolution of SCM theory not only in China but also more generally.
McKinnon, Alan C. (2016): The Possible Impact of 3D Printing and Drones on Last-mile Logistics: an Exploratory Study, Built Environment, 42 (4): 576-588.
Abstract: 3D printing and drones may have the potential to transform the movement of freight in urban areas, particularly on the so-called 'last mile' to the home. This paper reviews available evidence on the likely scalability of these innovations in a city logistics context and assesses their possible impact on urban traffic levels. The research is essentially exploratory as the application of these innovations to urban logistics is at a very early stage. The evidence comes mainly from published sources, supplemented by discussions with a mixed group of researchers and practitioners. It suggests that both innovations would have the potential to transform city logistics if their adoption rates were high. The rapid growth of online retailing is conducive to a high level of uptake. There are, however, good reasons for believing that their application will remain limited, at least in the short to medium term. Their diffusion will be constrained by several factors including a lack of scale economies, limited value-add and regulation.