The pentaq电竞数据 faculty, post-docs, and PhD candidates regularly publish the results of their research in scientific journals. You will find a complete overview of all pentaq电竞数据 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)
Douglas, Matthew A., Diane A. Mollenkopf, Vincent E. Castillo, John E. Bell and Emily C. Dickey (2021): Journeys, not Destinations: Theorizing a Process View of Supply Chain Integrity, Journal of Business Ethics .
Abstract: Integrity is considered an important corporate value. Yet recent global events have highlighted the challenges firms face at living up to their stated values, especially when extended supply chain partners are involved. The concept of Supply Chain Integrity (SCI) can help firms shift focus beyond internal corporate integrity, toward supply chain integrity. Researchers and managers will benefit from an understanding of the SCI concept toward implementing SCI to better align supply chain partners with stated corporate values. This research fully develops and empirically grounds the firm-level, inter-firm-oriented SCI concept. The thematic analysis of six firms’ archival and website content elaborated empirical descriptions of SCI themes and enabled the development of a process model for SCI, presenting a novel view of the underlying process by which firms can assess, develop, and maintain SCI across their supply chains. We propose the SCI model as an evolutionary process to improve a firm’s supply chain sustainability, rather than a dichotomous end state where firms either “have” integrity or they don’t. The SCI model could be used as a tool to help leaders create necessary change to better align values and supporting statements with culture, while influencing and affecting stakeholders across the supply chain. This is particularly important in today’s world, where business leaders must consider all stakeholders and address important stakeholder-driven issues such as supply chain sustainability, resilience, and security, which are now at the forefront in the ever-changing environment.
Shepard, Daniel D., Anne Ellersiek, Johannes Meuer, Christian. Rupietta, Ruth Mayne and Paul Cairney (2021): Kingdon´s Multiple Streams Approach in New Political Contexts: Consolidation, Configuration, and New Findings, Governance , 34 (2): 523-543.
Abstract: There is a need to conduct more diverse cross-case analyses in the Multiple Streams Approach (MSA) literature which originated in the United States, to show how key concepts, such as a windows-of-opportunity and the role of policy entrepreneurs, manifest in different political contexts. We apply Qualitative Comparative Analysis for a cross-case analysis of a unique dataset representing 20 countries from four continents. This approach allows us to highlight distinct pathways to influencing policies. We identify four configurations for expanding civic spaces and two configurations for changing policies. We identify three findings novel to MSA: there are two distinctive policy entrepreneur roles involving local and international civil society actors; effective entrepreneurship is conditional on strengthening civic voice and creating civic space conducive to advocacy; and, therefore, effective entrepreneurs often must focus on expanding the civic space to discuss policy problems and the technical and political feasibility of policy solutions.
Folger, Nicholas, Prisca Brosi and Jutta Stumpf-Wollersheim (2021): Perceived technology turbulence and individual ambidexterity - the moderating role of formalization, European Management Journal .
Abstract: Today's turbulent environment, with fast and unpredictable technological changes, requires employees to increasingly act ambidextrously, i.e., to simultaneously incorporate exploitative and explorative tasks in their work roles. To improve our understanding of how to foster individual ambidexterity in technologically turbulent environments, we draw on organizational management theories by arguing (1) that perceived technological turbulence directly affects individual ambidexterity in a positive way and (2) that organizations can strengthen this effect by providing employees with internal stability in these times of external changes through high degrees of formalization. Using data collected in a three-wave online survey of 739 German employees, this study demonstrates that employees who perceive high degrees of technological turbulence in their organization's environment show high degrees of ambidexterity in their work. In addition, we show that formalization in the form of written rules, procedures, and instructions positively moderates this relationship so that employees' ambidexterity is highest when both perceptions of technological turbulence and formalization are high. We conclude by discussing the implications of these findings for the ambidexterity literature, for future research and managerial practice.
Rijal, Arpan, Marco Bijvank, Asvin Goel and René Koster (2021): Workforce Scheduling with Order-Picking Assignments in Distribution Facilities, Transportation Science , 55 (3): 725-746.
Abstract: Scheduling the availability of order pickers is crucial for effective operations in a distribution facility with manual order pickers. When order-picking activities can only be performed in specific time windows, it is essential to jointly solve the order picker shift scheduling problem and the order picker planning problem of assigning and sequencing individual orders to order pickers. This requires decisions regarding the number of order pickers to schedule, shift start and end times, break times, as well as the assignment and timing of order-picking activities. We call this the order picker scheduling problem and present two formulations. A branch-and-price algorithm and a metaheuristic are developed to solve the problem. Numerical experiments illustrate that the metaheuristic finds near-optimal solutions at 80% shorter computation times. A case study at the largest supermarket chain in The Netherlands shows the applicability of the solution approach in a real-life business application. In particular, different shift structures are analyzed, and it is concluded that the retailer can increase the minimum compensated duration for employed workers from six hours to seven or eight hours while reducing the average labor cost with up to 5% savings when a 15-minute flexibility is implemented in the scheduling of break times.
Netland, Torbjörn H., Maricela C. Arellano and Johannes Meuer (2021): Change only happens when managers believe what they're saying, California Management Review Insights - Frontier .
Cifone, Fabiana Dafne, Kai Hoberg, Matthias Holweg and Alberto Portioli Staudacher (2021): `Lean 4.0´: How can digital technologies support lean practices?, International Journal of Production Economics , 241.
Abstract: Digital technologies, such as advanced analytics, autonomous vehicles or the Internet of Things, are often touted as means to substantially improve operations. While this potential has been frequently highlighted and evidenced from single case applications, we still lack a deeper theoretical understanding of the underlying mechanisms how digital technologies can support process improvement in general, and lean practices more specifically. In this paper, we use a qualitative study based on focus group design to understand how manufacturing and supply chain management professionals perceive the potential of digital technologies in support of lean practices. We identify eight digital waste reduction mechanisms that illustrate how digital technologies can support lean practices. These include a cluster of mechanisms that augment operational execution in terms of speed and precision of execution, as well as flexibility in space and time. Furthermore, we identify a second cluster of mechanisms that augment decision-making through visibility, feedback, engagement, and prevention. In terms of managerial implications, our findings provide firms with a structured approach how to identify those digital technologies that can most effectively support their respective process improvement activities.
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Viet, Nguyen Quoc, Behzad Behdani, Jaqueline M. Bloemhof and Kai Hoberg (2021): Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector, International Journal of Production Research , 59 (5): 1368-1385.
Abstract: While many supply chain decisions could take advantage of big data, firms struggle with investments into supply chain analytics since they are not able to assess the application areas and benefits of these initiatives. In this paper, we provide a multi-level perspective to assess the value of supply chain data. We develop a framework that highlights the connections between data characteristics and supply chain decisions with different time horizons (i.e. short- or long-term) as well as different supply chain levels (i.e. individual-firm level or supply-chain level). As data gets more complex in one or more of the 4 V dimensions (i.e. volume, variety, velocity, veracity), firms must assess how to best take advantage of the opportunities offered. We use the Dutch floriculture sector as a case study for our framework in which we highlight four data analytics applications to improve logistics processes. In the applications, we demonstrate how the data is used to support the decisions at different time horizons and supply-chain levels. We find that each of the big data’s Vs is required differently according to the decisions’ characteristics. Based on the findings, applications in other industries and promising directions for future research are discussed.
Weißhuhn, Sandria and Kai Hoberg (2021): Designing smart replenishment systems: Internet-of-Things technology for vendor-managed inventory at end consumers, European Journal of Operational Research , 295 (3): 949-964.
Abstract: Motivated by recent advances in Internet-of-Things (IoT) technology for household appliances, we analyze a Smart Replenishment system that leverages point-of-consumption (POC) information at end consumers to decide on deliveries of consumables. As such, we extend the classic Vendor-Managed Inventory (VMI) concept to end consumers. We model the system for a single manufacturer who directly serves end consumers with uncertain demand. End consumers partially adopt the new Smart Replenishment mode, which results in a mix of VMI and non-VMI customers. We assume that unfulfilled demand is lost and that the manufacturer’s dispatch capacity is constrained. Customers compete for the same capacity while featuring different out-of-stock risks and service-level expectations, both of which are costly to the manufacturer. Considering various adoption levels, we decide on the design of such a system and focus on (i) inventory control, (ii) customer prioritization, and (iii) degree of smart, integrated decision-making. Using discrete-event simulation and a full-factorial experiment, we show that replenishment decisions can be significantly enhanced with POC information. It leads to substantial improvements in service levels and capacity utilization without loading customers with inventories. This improvement potential is highest for a low demand coverage of the replenishment quantity, a high gap in the ordering behavior of manufacturer and end consumers, and a long lead time. To realize this improvement potential, we propose a flexible reorder corridor to manage inventories at VMI customers that balances the trade-off between out-of-stock risk and service-level expectation inherent in the system.
Schulz, Ann-Christine and Alexander Himme (2021): Stock market reactions to downsizing announcements: an analysis through an institutional lens, Socio-Economic Review .
Abstract: In this study, we examine stock market reactions to corporate downsizing using a neo-institutional perspective. Over the course of the 1990s, a time period in which shareholder value orientation gained momentum, downsizing became an institutionalized management practice. We argue and propose that the growing legitimacy of this practice is displayed in investors’ reactions to downsizing announcements. Using a sample of 391 downsizing announcements of the S&P 100 firms for the period 1990–2006, we show that the announcement year has a positive (diminishing) effect on the abnormal stock market return and that prior downsizings in the focal firm’s institutional field have a positive linear impact on abnormal stock market return. In addition, we provide evidence that these relationships are positively moderated by proactive downsizing motives and firm size. Our results contribute to a deeper understanding of the performance effects of corporate downsizing and investors’ role in legitimizing this prevalent business practice.
Stark, Johannes, Julia A.M. Reif and Tom Schiebler (2021): What leaders tell and employees hear - an intention-perception model of storytelling in leadership, Organization Management Journal .
Abstract: Purpose Storytelling is considered an effective leadership behavior. However, research on storytelling’s effects on followers is scarce and disconnected from leadership theory. This paper aims to explore the perspectives of both leaders and followers with a focus on interaction-based moderators and affective mediators of storytelling effects, building on transformational leadership and leader-member exchange theory. Design/methodology/approach Data from semi-structured interviews (N = 27 independent leaders and followers) were analyzed with a combined content-analytic and grounded theory approach. Findings Leaders’ intended effects of storytelling (transformation, relationship and information) evoked either positive or negative affective reactions in followers depending on how well the story met followers’ needs (need-supply fit), the adequacy of the input load transported by the story (story load) and how followers interpreted their leaders’ story (story appraisal). Followers’ positive or negative affective reactions translated into positive effects (corresponding to leaders’ intended effects) or negative effects (contradicting leaders’ intended effects), respectively. Results were integrated into an intention-perception model of storytelling. Originality/value Proposing an intention-perception model of storytelling, this paper explains when and why unintended effects of storytelling happen, and thus provides an alternative view to the one-fits-all approach on leaders’ storytelling advocated by popular management literature.
Kim, Jeong-Bon, Shushu Liao and Yangke Liu (2021): Married CEOs and Stock Price Crash Risk, European Financial Management .
Abstract: This study examines whether marriage, as a social construct and cultural norm, can affect firm-level stock price crash risk. We find that firms managed by married CEOs are associated with lower future stock price crash risk, after controlling for a set of firm characteristics and CEO traits. We document that CEO marriage reduces crash risk by curbing bad news hoarding and formation activities. Moreover, the attenuating impact of CEO marriage on crash risk is more pronounced among firms with weaker corporate governance and those run by less prominent, higher-delta and lower-paid CEOs.
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Gernert, Andreas K., H. Sebastian Heese and David A. Wuttke (2021): Subcontracting New Product Development Projects: The Role of Competition and Commitment, Decision Sciences , 52 (5): 1039-1070.
Abstract: Should a firm, which seeks to subcontract a new product development project, leverage competition among potential suppliers and ask all of them to engage in research and development in parallel? Or should it first invite offers and commit to the supplier with the best offer, before only this supplier engages in development? Building on analytical literature on both formats, we apply game theory to answer these questions. We identify Bayesian Nash equilibrium strategies and characterize advantages of both formats. We find that having multiple suppliers engage in new product development in parallel is favored only if enough suppliers can be attracted, which is the case when development uncertainty and learning benefits are high. The participation decision also depends on the specific structure of the project's development costs. If administrative overhead and material costs are substantial, while engaging in development and exerting effort is relatively cheap but does not offer many learning opportunities, the number of suppliers who would be willing to engage in parallel development is limited. First inviting offers and selecting the best supplier to exclusively engage in new product development then becomes more attractive for the buyer. We discuss further implications and characterize environments that may foster more innovativeness in this context.
Besiou, Maria, Alfonso J. Pedraza-Martinez and Luk N. Van Wassenhove (2021): Humanitarian Operations and the UN Sustainable Development Goals, Production and Operations Management , 30 (12): 4343-4355.
Abstract: During emergencies humanitarian supply chains need to respond swiftly, very often without time for good planning. That may end up in excessive waste and emissions. This short-term focus on saving people’s lives during disaster responses may harm communities and the planet in the long-run. Even long-term (development) focus on improving the life conditions of the poor may be either unsustainable due to the lack of community involvement or inequitable due to lack of resources. At the same time, countries closer to fulfilling the United Nations sustainable development goals (SDGs) suffer less from disasters but still struggle with issues such as social equity. There appears to be an important link between humanitarian operations and sustainable development goals. This special issue focuses on this interaction through a rich variety of contributions using different methodologies, data and lenses, while proposing ways to advance the SDGs. The special issue clearly shows the value operations management can bring to short-term and long-term problems society faces.
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Brooks, Mary R., Geraldine Knatz, Athanasios A. Pallis and Gordon Wilmsmeier (2021): Visibility and verifiability in port governance transparency: exploring stakeholder expectations, WMU Journal of Maritime Affairs : 435-455.
Abstract: Transparency remains an under-analyzed topic in port research, and previous research has shown that port decision-making and governance reporting are inconsistent across countries. While transparency might be imposed through legislation or voluntarily adopted, effective transparency also includes (a) an organization’s willingness to consistently communicate and make transparent information available to internal or external stakeholders and (b) the stakeholder`s expectations on the visibility and verifiability of information. This paper focuses primarily on the second of these, extending an earlier study that explored the availability of information accessible to the public and port stakeholders through a port’s most public face—its website (Brooks et al. 2020). This research examines a subset of 27 governance variables from Brooks et al. (2020), who explored 59 separate items to identify transparency practices by ports, revealing uneven levels of port transparency. The scope is to identify what different port stakeholders expect to be visible and readily available in terms of board meeting openness, board director conflict of interest, board provided information, and board reports/publications. Stakeholders also provided their perceptions of how trustworthy board reporting was perceived. The data set includes 134 usable responses from 38 countries and this paper analyzes similarities and differences across stakeholders and countries. The responses from the survey are also considered in the light of the results from Brooks et al. (2020) and the extent that ports currently make these variables visible and available. The study concludes by discussing a further research agenda towards a more transparent and thus better port industry.
Wang, Le, Lars Schweizer and Björn Michaelis (2021): Experiential learning for Chinese companies to complete cross-border acquisitions: the case of Chinese acquirers, International Journal of Emerging Markets , 16 (4): 647-695.
Abstract: Purpose In a contribution to the emerging research examining Chinese cross-border acquisitions (CBAs), the authors observe experiential learning applications for enhancing M&A completions. By emphasizing knowledge transfer, the authors reveal how target-to-target industry similarity and bidder-to-target cultural distance affect learning outcomes. Design/methodology/approach Using a binary logistic regression model, the authors examine a sample of CBA attempts announced by Chinese companies from January 2002 to December 2012 to identify the variables that affect the completion of CBAs. Findings The authors find that foreign acquisition experience but not domestic acquisition experience enhances subsequent acquisition attempts, especially when prior and focal target companies share the dominant industrial logic. Learning transfer is negatively affected when target countries are more culturally distant from China, but learning benefits appear to increase under strong bidder-to-target cultural distance. Originality/value By investigating learning in the precompletion stage in Chinese outward CBAs, the authors complement research that uses postacquisition performance to assess learning. The authors’ more fine-grained characterization reveals that acquisition experience increases knowledge transfer through experiential learning. Furthermore, the authors show that dominant industrial logic and cultural distance are underexplored contextual conditions, although they interact with foreign and domestic experience to affect the completion of CBAs.
Michaelis, Björn, Lars Schweizer, Shalini Rogbeer and Zafer Özleblebici (2021): Clarifying the boundary conditions of value creation within dynamic capabilities framework: a grafting approach, Review of Managerial Science , 15: 1797-1820.
Abstract: This study extends dynamic capabilities research by examining the underlying and fundamental concepts of capabilities, resource allocation, fungibility, and environmental change with respect to value creation and appropriation (VCA). Scholars generally assume that VCA depends on the amount of resources allocated to generate future capabilities. We diverge from this ability-performance tautology and instead ground dynamic capabilities in a resource allocation framework. By introducing two boundary conditions, we suggest that environmental change and fungibility between current and dynamic capabilities determine whether resource allocation leads to VCA. We believe that our findings not only represent a fruitful path for future research by strategy and organization scholars, but also provide an important contribution to our knowledge of managing resources in dynamic environments to create future capabilities.
Badorf, Florian and Kai Hoberg (2020): The impact of daily weather on retail sales: an empirical study in brick-and-mortar stores, Journal of Retailing and Consumer Services , 52.
Abstract: In this study, we examine the influence of weather on daily sales in brick-and-mortar retailing using empirical data for 673 stores. We develop a random coefficient model that considers non-linear effects and seasonal differences using different weather parameters. In the ex-post analysis using historic weather data, we quantify the explanatory power of weather information on daily sales, identify store-specific effects and analyze the influence of specific sales themes. We find that the weather has generally a complex effect on daily sales while the magnitude and the direction of the weather effect depend on the store location and the sales theme. The effect on daily sales can be as high as 23.1% based on the store location and as high as 40.7% based on the sales theme. We also find that the impact of extreme bad and good weather occurrences can be misestimated by traditional models that do not consider non-linear effects. In the ex-ante analysis, we analyze if weather forecasts can be used to improve the daily sales forecast. We show that including weather forecast information improves sales forecast accuracy up to seven days ahead. However, the improvement of the forecast accuracy diminishes with a higher forecast horizon.
Balster, Andreas, Ole Hansen, Hanno Friedrich and André Ludwig (2020): An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning, Business & Information Systems Engineering .
Abstract: Transparency in transport processes is becoming increasingly important for transport companies to improve internal processes and to be able to compete for customers. One important element to increase transparency is reliable, up-to-date and accurate arrival time prediction, commonly referred to as estimated time of arrival (ETA). ETAs are not easy to determine, especially for intermodal freight transports, in which freight is transported in an intermodal container, using multiple modes of transportation. This computational study describes the structure of an ETA prediction model for intermodal freight transport networks (IFTN), in which schedule-based and non-schedule-based transports are combined, based on machine learning (ML). For each leg of the intermodal freight transport, an individual ML prediction model is developed and trained using the corresponding historical transport data and external data. The research presented in this study shows that the ML approach produces reliable ETA predictions for intermodal freight transport. These predictions comprise processing times at logistics nodes such as inland terminals and transport times on road and rail. Consequently, the outcome of this research allows decision makers to proactively communicate disruption effects to actors along the intermodal transportation chain. These actors can then initiate measures to counteract potential critical delays at subsequent stages of transport. This approach leads to increased process efficiency for all actors in the realization of complex transport operations and thus has a positive effect on the resilience and profitability of IFTNs.
Stein, Michael and Michele Acciaro (2020): Value Creation through Corporate Sustainability in the Port Sector: A Structured Literature Analysis, Sustainability , 12 (14).
Abstract: Corporate Sustainability (CS) in the port sector has emerged as an important driver behind strategy definition for port authorities globally. It has been argued that CS practices have the potential of delivering value for port users and, as such, grant port operators and port managing entities competitive advantages. There is, however, limited evidence behind this claim. The difficulty with collecting such evidence is that we lack measures of port value creation, and CS metrics have rarely been developed and applied in ports. This paper provides a framework for collecting empirical evidence aimed at assessing in what way CS can benefit port competitiveness. The framework is built on a systematic literature analysis of the past years. The literature analysis exceeds previous comparable contributions by its analytical detail and provides valuable new insights on sustainability in the maritime domain. The research indicates that the accurate measurement of CS initiatives in the port sector is urgent and meaningful. When appropriately measured, the value that CS can deliver to port users becomes apparent. This is, however, often created indirectly via branding, risk mitigation, etc. The paper contributes to academic knowledge as it is the first to develop a rigorous CS measurement framework usable for ports in terms of value.
Ashrafi, Mehrnaz, Tony R. Walker, Gregory M. Magnan, Michelle Adams and Michele Acciaro (2020): A review of corporate sustainability drivers in maritime ports: a multi-stakeholder perspective, Maritime Policy & Management , 47 (8): 1027-1044.
Abstract: Maritime ports play a pivotal role in facilitating trade, serving as key nodes in global transport chains. Competitive pressure exists for port managers and operators to search for ways to deliver consistent improvements in productivity and profitability. Additionally, external effects associated with port activities have been given more attention in recent years, thus favouring a holistic integration of sustainability into port planning and operations. In this process, factors driving ports to become more sustainable need to be examined. This study, which is based on a systematic review of literature published since 1987, synthesizes various research perspectives for corporate sustainability drivers in maritime ports using the lens of stakeholder theory. Thirty drivers of corporate sustainability were identified, classified into 10 main drivers and further grouped into five clusters, serving as the basis for development of a multi-stakeholder perspective. This study also discusses examples of actions taken by ports in response to perspectives of various stakeholders using selected case examples from existing literature. This study provides an understanding of how decisions for adopting corporate sustainability are motivated in ports according to a multi-stakeholder perspective, and highlights how ports have responded to shifts through developing and implementing sustainability strategies using global case examples.
Chaudhari, Ashish M., Erica Gralla, Zoe Szajnfarber, Paul T. Grogan and Jitesh H. Panchal (2020): Designing Representative Model Worlds to Study Socio-Technical Phenomena: A Case Study of Communication Patterns in Engineering Systems Design, Journal of Mechanical Design , 142 (12): 121403-121420.
Abstract: The engineering of complex systems, such as aircraft and spacecraft, involves large number of individuals within multiple organizations spanning multiple years. Since it is challenging to perform empirical studies directly on real organizations at scale, some researchers in systems engineering and design have begun relying on abstracted model worlds that aim to be representative of the reference socio-technical system, but only preserve some aspects of it. However, there is a lack of corresponding knowledge on how to design representative model worlds for socio-technical research. Our objective is to create such knowledge through a reflective case study of the development of a model world. This “inner” study examines how two factors influence interdisciplinary communication during a concurrent design process. The reference real world system is a mission design laboratory (MDL) at NASA, and the model world is a simplified engine design problem in an undergraduate classroom environment. Our analysis focuses on the thought process followed, the key model world design decisions made, and a critical assessment of the extent to which communication phenomena in the model world (engine experiment) are representative of the real world (NASA’s MDL). We find that the engine experiment preserves some but not all of the communication patterns of interest, and we present case-specific lessons learned for achieving and increasing representativeness in this type of study. More generally, we find that representativeness depends not on matching subjects, tasks, and context separately, but rather on the behavior that emerges from the interplay of these three dimensions.
Acciaro, Michele and Christa Sys (2020): Innovation in the maritime sector: aligning strategy with outcomes, Maritime Policy & Management , 47 (8): 1045-1063.
Abstract: Innovation is identified as one of the main avenues to maintain competitiveness and its importance is well established in business studies. Along maritime logistics chains, innovation is being increasingly recognized as a determinant of success. However, beyond the naval architecture literature, little attention has been given to the role that innovation plays in maritime business. Notwithstanding the increasing number of innovation efforts that can be traced in the industry, little is known of the processes and mechanisms that make innovation successful, with the result that initiatives are often uncoordinated, unfocused, poorly managed, and do not deliver the expected results. In order to improve innovation processes, better insight is needed into what motivates innovation along maritime supply chains, in particular for ocean carriers, (inland) terminal operators, port managers, and hinterland transport operators. To this end, the paper proposes an index-based approach using data collected for 59 innovation cases to capture the degree of alignment between innovation strategy and outcomes in various maritime logistics business sectors. Substantial misalignment exists between company strategies and innovation success, and efforts should be made to improve the strategic processes that lead to collaborative innovation in maritime supply chains.
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Gralla, Erica, Paul T. Grogan, Jitesh H. Panchal and Zoe Szajnfarber (2020): A call for consensus on the use of representative model worlds in systems engineering and design, Systems Engineering , 23 (4): 436-442.
Abstract: Systems engineering and design (SE&D) researchers increasingly tackle questions at the intersection of technical and social aspects of complex systems design. Practical challenges of access, limited observation scope, and long timescales limit empirical study of SE&D phenomena. As a result, studies are typically conducted in model world settings abstracted from the real world, such as behavioral experiments with student subjects. Model worlds must be representative of the phenomena being studied to ensure insights generalize to the real-world settings. Currently, there is a lack of shared understanding and standards within the SE&D research community to evaluate representativeness of model worlds. This communication captures the results of ongoing efforts to build consensus on this topic: it defines the concept of model worlds, disambiguates representativeness from related concepts, and draws comparisons to other research domains. It outlines a potential path forward and calls for community participation in establishing shared standards for model world representativeness in SE&D research.
Franklin, J. Rod and Chuanwen Dong (2020): From the Digital Internet to the Physical Internet: A Conceptual Framework with a Stylized Network Model, Journal of Business Logistics .
Abstract: Despite the increasing academic interest and financial support for the Physical Internet (PI), surprisingly little is known about its operationalization and implementation. In this paper, we suggest studying the PI on the basis of the Digital Internet (DI), which is a well‐established entity. We propose a conceptual framework for the PI network using the DI as a starting point, and find that the PI network not only needs to solve the reachability problem, that is, how to route an item from A to B, but also must confront a more complicated optimality problem, that is, how to dynamically optimize a set of additional logistics‐related metrics such as cost, emissions and time for a shipment. These last issues are less critical for the DI and handled using relatively simpler procedures. Based on our conceptual framework, we then propose a simple network model using graph theory to support the operationalization of the PI. The model covers the characteristics of the PI raised in the current literature and suggests future directions for further quantitative analyses.
van der Aa, Han, Henrik Leopold and Hajo A. Reijers (2020): Efficient Process Conformance Checking on the Basis of Uncertain Event-to-Activity Mappings, IEEE Transactions on Knowledge and Data Engineering , 32 (5): 927-940.
Abstract: Conformance checking enables organizations to automatically identify compliance violations based on the analysis of observed event data. A crucial requirement for conformance-checking techniques is that observed events can be mapped to normative process models used to specify allowed behavior. Without a mapping, it is not possible to determine if an observed event trace conforms to the specification or not. A considerable problem in this regard is that establishing a mapping between events and process model activities is an inherently uncertain task. Since the use of a particular mapping directly influences the conformance of an event trace to a specification, this uncertainty represents a major issue for conformance checking. To overcome this issue, we introduce a probabilistic conformance-checking technique that can deal with uncertain mappings. Our technique avoids the need to select a single mapping by taking the entire spectrum of possible mappings into account. A quantitative evaluation demonstrates that our technique can be applied on a considerable number of real-world processes where existing conformance-checking techniques fail.