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- Wirtschaft (MSB) (111) (remove)
The global development towards the Fourth Industrial Revolution, the so-called Industry 4.0, is steaming forwards. Where cyber-physical systems connect the physical and digital world, allowing for demand identification, without the need for direct human intervention. Further, Artificial Intelligence supports various parts of operative and strategic purchasing. The new purchasing environment forces purchasing professionals to develop new skills. Research is needed to identify appropriate skill sets. Based on a World-Café method with 82 purchasing professionals, a list of 32 essential future skills in purchasing is composed. Further, the identified skills are ranked and assigned to the roles of the direct and indirect material purchasers.
Nowadays, the human-centric discipline of purchasing and supply management (PSM) is of strategic importance for firms’ success. Within the discipline, scholars address PSM professionals’ skills and provide practitioners with academic insights. Due to changes in the industry environment, changes in the working environment and the task of purchasing professionals are assumed. This paper aims to contribute to the PSM professional skills literature by defining current PSM professionals’ skill gaps as the difference between the acquired skill level and perceived skill importance. Findings show that current PSM professionals feel to be underqualified to abstract the full potential of professional relationships, as buyer-supplier relationships, due to current PSM professionals’ skill gaps.
Gamification has been used in a wide variety of subject-specific education contexts. Examples of such usage in the Supply Chain Management (SCM) context include the oft-played beer distribution game, developed by MIT Sloan School of Management (Forrester, 1961), which simulates the coordination of typical problems in supply chain processes, promoting information sharing and collaboration throughout a supply chain (Sterman, 1984). Purchasing and Supply Management (PSM), a subset of this wider SCM area, focuses on the direct relationships between organisational buyers and suppliers, covering aspects such as establishing trust, identifying and selecting suitable suppliers, managing supplier performance and the overall relationship. A systematic review of the PSM gamified learning literature establishes that there has been limited research to date and that which there is tends to focus on quantitative representations of managing overall supply and demand, using wider SCM elements. This suggests that there are opportunities to gamify PSM learning, in particular focusing on the human element in PSM and developing soft skills, as strong buyer-supplier relationships can generate significant benefits to both parties. To provide a more focused PSM contribution, a second systematic literature review distils the relevant principles, techniques and processes to inform the development of two gamified PSM learning activities. Negotiation and supplier relationship management rely heavily on personal interactions and are both seen as key activities at different stages of the PSM process. The development of the two gamified learning activities is strengthened by being underpinned by a synthesis of the literature review’s key findings, ensuring they are domain-meaningful abstractions of reality, contain rewards and rankings based on clear objectives and have appealing gameplay. It is hoped that this paper provides a platform for future domain specific PSM research and will be of use to educators in this field in developing their own gamified learning.
This paper focusses on effective teaching and learning methods in the context of a larger project that aims to align objectives in higher education with employer requirements in the field of purchasing and supply management (PSM). The reason is that little is known about which specific skills and competencies of PSM professionals are needed outside academia and which learning objective higher education should incorporate to meet the practical PSM requirements of firms and organisations. Practice as well as literature share the understanding that PSM professionals need a well-balanced mixture of knowledge and soft-skills: the merely explicit know-what (codified knowledge), know-why (theory), know-how (method) and inter- & intrapersonal soft skills.
External sources of knowledge have become a necessary extension to internal innovation activities (Monteiro, Mol and Birkinshaw, 2017; Rosenkopf and Nerkar, 2001). Collaborations with customers, suppliers, universities or even competitors are a promising way to extend the own knowledge base in order to increase the firm´s innovativeness (Felin and Zenger, 2014; Laursen and Salter, 2006). onsidering this potential set of external partners, suppliers seem to have the largest impact on product innovation (Un, Cuervo-Cazurra and Asakawa, 2010). Yet, suppliers’ innovative potential is limited as described in a case study by Gassmann, Zeschky, Wolff, and Stahl (2010), which further shows how a new venture supplier, commonly referred to as “startup”, has succeed at providing a truly innovative idea (a haptic feedback control device for automobiles). Therefore, startups as a specific knowledge provider have received growing attention (Weiblen and Chesbrough, 2015; Zaremba, Bode and Wagner, 2016). By collaborating with startups, corporations hope to benefit from the startups´ entrepreneurial characteristics, such as alertness, creativity, flexibility and willingness to take risks (Audretsch, Segarra and Teruel, 2014; Criscuolo, Nicolaou and Salter, 2012; Marion, Friar and Simpson, 2012).
In the context of Continuous Software Engineering, it is acknowledged as best practice to develop new features on the mainline rather than on separate feature branches. Unfinished work is then usually prevented from going live by some kind of feature toggle. However, there is no concept of feature toggles for Process-Driven Applications (PDA) so far. PDAs are hybrid systems consisting not only of classical source code but also of a machine-interpretable business process model. This paper elaborates on a feature development approach that covers both the business process model and the accompanying source code artifacts of a PDA. The proposed solution, Toggles for Process-Driven Applications (T4PDA), equipped with an easy to use modeling tool extension, enables the developer to safely commit unfinished work on model and source code to the project’s mainline. It will be kept inactive during productive deployments unless the feature is finally released. During an AB/BA crossover design experiment, the T4PDA approach, including the provided tool support, showed higher software quality, a faster development process, and contented developers.
Performing in Community-Academic Health Partnerships: Interplay of Clear, Difficult and Valued Goals
(2020)
Mediale Lernangebote können dazu beitragen, Bildungsprozesse anzuregen (Kerres, 2018, S. 139). Sie tun es aber nicht per se. Es gibt demnach nicht eine beste Lehrmethode (Kerres, 2018, S. 139).
Der Aufwand für das Erstellen von Videos lohnt sich insbesondere dann, wenn keine Präsenzveranstaltungen – aus welchem Grund auch immer – angeboten werden können.
Heutzutage ist es leider immer noch wichtig, dass das Erledigen der Aufgaben für die Studierenden lohnend ist. Dies kann umgesetzt werden, indem die Studierenden entweder Klausurpunkte für das korrekte Erledigen der Aufgaben erhalten oder indem das erfolgreiche Absolvieren z.B. der Online-Tests als Leistungsnachweis anerkannt wird.
Die wöchentlichen Aufgaben stellen sicher, dass sich die Studierenden regelmäßig, in Etappen und selbständig mit den Inhalten auseinandersetzen und so das Erlernte langfristiger im Gedächtnis bleibt. Zudem erhalten sie, bedingt durch die automatische Korrektur, sofort eine Rückmeldung, was sicherlich motivationsfördernd ist.
Die Lehrenden haben mit Hilfe der digitalen Instrumente den Vorteil, dass sie diese lernfördernden Instrumente auch in sehr großen Lerngruppen ohne großen zusätzlichen Aufwand einsetzen können.
For a long time, a large number of top managers in listed companies have regarded communication with their shareholders as a necessary evil and now, in times of activist investors, are faced not only with the great challenges of opening up to shareholders and revealing their own corporate strategy, but also at the same time have to withstand the massive external pressure from activist investors, who are rarely majority shareholders. To achieve this, it is essential that a complete rethink-ing of the communication strategy of those responsible for the company takes place.
The use of augmented reality (AR) in outbound logistics is associated with potentially strong stimuli for cost savings and throughput time. Nevertheless, the benefits of AR compared to conventional methods require a holistic analysis for investment decision making. Until now, research has only assessed case-study-related potentials and selected aspects of the technology. This paper answers the following research questions: How can the economic efficiency of AR in the packing process be quantified by utilizing a holistic model of value drivers? How can AR be technically implemented for packing processes in outbound logistics? What economic profit results from the use of AR technology in a case company’s packing process?
The presented model enables the investment decision to be supported based on economic value added (EVA), thereby providing an assessment of value drivers in packing systems. Cost drivers are identified on the basis of the Supply Chain Operations Reference (SCOR) process model. The technical and economic validation of the model was carried out by means of an empirical study: Expert interviews were conducted for validating the model elements. Data collection by a prototype at a mechanical-engineering company was used to calculate the value contribution. The mapping of cause-effect relationships within the framework of EVA driver trees has proven itself in both the expert interviews and the prototype validation. The field experiment at the case company demonstrated a positive value contribution of AR, in particular regarding employee productivity, length and variance of throughput time, quality aspects, volume utilization, and quantity of packing material used.
Study programme development is one of the most challenging processes
at universities since all faculty is involved. And in our experience, the redesign of already existing programmes seems to be even more difficult: Whereas innovative forces want to pick up new trends (e.g. digitalisation or other new teaching concepts) more conservative forces emphasises on values and refer to existing experience. Both positions are important and contextually right. Thus, the presented format provides a gradual framework to bridge the gap between both sides in an interactive and creative process.
Both sides are invited to negotiate the best possible result by using an unusual approach for university discussions, the benefit analysis method known e.g. from economics. After the negotiating activity, it should be obvious that a change of perspective is also helpful, if not necessary, to create a new or updated study programme. The practiced approach helps as well to recognise which limits for study programme development remain when visionary ideas are measured against reality.
„Innovation für Society“
(2019)
A major requirement for Credit Scoring models is of course to provide a risk prediction that is as accurate as possible. In addition, regulators demand these models to be transparent and auditable. Thus, in Credit Scoring very simple Predictive Models such as Logistic Regression or Decision Trees are still widely used and the superior predictive power of modern Machine Learning algorithms cannot be fully leveraged. A lot of potential is therefore missed, leading to higher reserves or more credit defaults. This talk presents an overview of techniques that are able to make “black box” machine learning models transparent and demonstrate how they can be applied in Credit Scoring. We use the DALEX set of tools to compare a traditional scoring approach with state of the art Machine Learning models and asses both approaches in terms of interpretability and predictive power. Results show that a comparable degree of interpretability can be achieved while machine learning techniques keep their ability to improve predictive power.
Digitalization and sustainable development are goals of the global community, but can they also be achieved simultaneously? This article investigates the impacts of additive manufacturing (AM) on sustainable production and consumption. The use of AM technology as a means of digitalizing manufacturing processes is assessed through a qualitative life cycle analysis.
The model developed for this purpose provides a structure for an analysis of the general ecological effects of AM. The systematics of the life cycle model also supports a company-specific assessment.
AM can have a positive impact on achieving sustainable development with regards to ecological effects, particularly by reducing the consumption of resources in production and distribution. However, there are also negative ecological impacts of this technology, such as rebound effects and high energy consumption, which vary depending on the application and the printing process. It appears necessary for regulatory policy to intervene to maximize the opportunities for the positive effects of this technology. However, it is important to reduce the risks that contradict the objectives of the 12th Sustainable Development Goal of the UN: sustainability of consumption and production.
Strategically Aligning Additive Manufacturing Supply Chains for Sustainability and Effectiveness
(2019)
This paper builds on a previously developed framework that integrated additive manufacturing, life-cycle analysis, and value creation (Feldmann & Kirsch, 2019) by exploring conditions related to the life-cycle approach that would require alignment among suppliers, additive manufacturing firms, and customers. This extension creates a bridge to aid implementation of taking a sustainability approach to additive manufacturing. In order to develop this extension, we distinguish between direct/indirect customers and internal/external customers and then create a matrix of incentives and cognitive frames that we believe will help companies interested in large-scale AM improve both the speed and the effectiveness of AM adoption. We provide an organizing framework that managers can use to create a supply chain that is aligned around closed-loop principles that will help speed adoption and move closer to sustainable goals that exist for AM technologies. These include reduced raw material use, reduced scrap and material overage, and reduced rework, and lower transportation costs. The goal is to attain often-conflicting goals of lower long-term costs and decreased environmental footprint. Using our extension, we believe we can provide a useful framework to help managers implementing advanced manufacturing technologies to achieve lower costs and greater environmental sustainability by creating a common supply chain framework around customized, on-demand products.
Most companies have realized the high importance of becoming the preferred customers of their suppliers to obtain preferential resource allocation. However, they cannot evaluate their own customer attractiveness properly. In order to make the assessment of the own customer status possible, this paper analyzes the impact of several information sources on the preferred customer status knowledge, supplier satisfaction knowledge and knowledge of alternative supplier relationships with other customers. Testing these hypotheses on a sample of 624 pur-chasers, we show that people provide more relevant information on the company’s strategic positioning than media. In particular, the suppliers, competitors and other actors are very im-portant information sources. Following our findings, purchasers should adopt their activities in order to better anticipate their suppliers’ intention and the customer treatment that they can expect from their suppliers.
Buying firms lack transparency about the supplier relationships in their networks. The applica-tion of dedicated tools such as Supply Network Mapping (SNM) can help to visualize and analyze these relationships. However, the impact of such tools on the purchasing performance has not been explored yet. Moreover, companies with different competitive strategies might have different motivations to use these tools. Therefore, this paper tests the impact of supplier relationship information and SNM on the purchasing performance on a large sample of 624 purchasers. A multi-group analysis in structural equation modeling estimates the impact of a cost leadership versus a differentiation strategy on cost saving and innovation performance. We show that information quality and SNM indeed improve the purchasing performance. Moreover, cost leaders use SNM if they know their supplier relationships with sub-suppliers, while innovation leaders use it if they know their supplier relationships with other customers. Hence, our results prove the usefulness of the SNM tool and give recommendations for its use depending on a company’s competitive strategy.
One way or another – The relationship between trust and transparency in buyer-supplier relationships
(2019)
Based on a variety of environmental, technological, and product-orientated changes, there has been a shift towards increased collaboration between buyers and suppliers. This paper examines the mutual influence of trust and transparency at different developmental stages of these collaborative relations. In particular, the research investigates the existence of a direct correlation between trust and transparency, as well as indirect dependencies to each other through environmental factors. An extensive literature review combined with an exploratory-qualitative World Café method was conducted in an attempt to fill the research gap regarding the correlation of trust and transparency in buyer-supplier relationships.
Particularly in times of disruptive changes, companies need an early warning system for risks in their supply chains to gain relevant information in a timely manner. Furthermore, they require suitable action plans and strategies to help react when a risk occurs. Based on an in-depth case study at an automotive parts supplier producing electronic systems and lighting components, this paper develops a holistic supply chain risk management framework. After investigating the specific supply chain risks to support critical parts management, standardised processes and procedures are developed to improve the preventive supply chain risk strategy cycle, as well as the reactive critical parts management cycle.
Focal companies are embedded in complex supply networks consisting of various suppliers, customers, competitors and complementors. The activities of these actors influence the com-petitive position of the focal companies. Some customers achieve preferred customer status and gain preferential treatment, others have to restrain to being standard customers getting less privileged services. Consequently, buying companies in such markets have to achieve transparency about the relationships of their suppliers towards their competitors and comple-mentors in order to map them and to analyse their impact. Current literature lacks a holistic approach to capture these relationships. In which sources can the focal companies find the desired information? Which kind of information do they really need? And in which situations is the need for transparency high and when is it low? The aim of this research is to examine these relationships using a World Café method with purchasers for data gathering followed by a Gioia method to structure the qualitative data. The result is a list of desired knowledge cov-ering business, supplier and collaboration details; a set of information sources clustered in pub-lished and unpublished sources as well as contingency factors regarding general conditions, changes and particular occasions that require a high supplier relationship knowledge. All an-swers have been rated by their importance during the World Café. The answers can help to operationalise the mapping of supplier relationships towards competitors and complementors in order to assess the own customer status compared to other customers.
Globalization, digitalization and increasingly shortened lifecycles of consumer and business goods require companies to be continuously innovative. Under these domains of innovation, disruptive innovation has developed as a popular term amongst scholars and practitioners alike (Christensen, Raynor, & McDonald, 2015). In fact, the concept of disruptive technolo-gies was introduced to explain the failure of incumbent businesses in times of change (Bower & Christensen, 1995). Later, research broadened the concept towards disruptive innovations thereby going beyond technologies alone (Yu & Hang, 2010). Indeed, recent literature stresses the embracing business model that needs to be designed appropriately to make use of the technology and push it forward in the process of disruption. Subse-quently, current research concludes that disruption in its core is a “business model problem, not a technology problem” (Christensen, 2006).
Despite the recognition of the relevance of a firm’s business model for disruption, a clarifi-cation of the business model concept in the disruptive innovation process appears to be necessary in two dimensions. First, there is only limited knowledge regarding the actual design of (potential) disruptive business models. Second, from a dynamic perspective, less is known about how organizations manage the process of disruptive innovation until their business model yields a disruptive effect in the market.
The PhD research project aims at shedding light on the role of the firm’s business model in regard to the concept of disruptive innovation. Insights from this research project will not only add to a deeper understanding of disruptive innovation from a theoretical perspective but also deliver guidance for managers facing an increasingly changing environment.
Process-Driven Applications (PDA) require less coding, for their business logic is defined by a business process model which can be executed by a process engine. However, inconsistencies between process model and dependent source code artifacts cause runtime errors and reduce development productivity. This paper targets at making the development of PDAs more efficient: It proposes a broader approach to statical analysis which also covers consistency constraints between model and code. When integrated into common analysis tools or a continuous integration pipeline, defects like broken code references or data-flow anomalies can be detected at an early stage without launching the entire application and its process interpretation engine. The approach is demonstrated by a prototype called viadee Process Application Validator (vPAV), which was developed for BPMN-based process models. The prototype has already been used in various BPM projects, attesting high benefit and potential.