• Forecasting spare part demand with installed base information

      Van der Auweraer, Sarah; Boute, Robert; Syntetos, Aris (2017)
      Service maintenance is commonly used to extend the lifetime of capital assets, such as manufacturing equipment or heavy infrastructure. When a service part, necessary to perform the maintenance action, is required but not immediately available, the incurred shortage costs may be substantial. For this reason, companies keep large stock buffers to deal with uncertain demand of these spare parts. Specialized service parts models should therefore focus on improving the availability of parts whilst limiting the investment in inventories. An important characteristic of most service parts is their intermittent demand pattern, for which specific forecasting techniques have been developed (see e.g., the review of Boylan and Syntetos, 2010). Many of these methods, however, rely on the time series of the historical demand and do not take into account the factors that generate the spare part demand: the failure behaviour of the components, the maintenance policy, etc. We refer to these factors as the Installed Base information. In our work we provide an overview of the papers which use installed base information for forecasting future service parts demand and we develop a new model which incorporates this information. Dekker et al. (2013) define installed base information as the information on the set of systems or products for which a company provides after sales services. It can include the number of installed and serviced machines (i.e. the size of the installed base), its evolution over time, the failure behaviour of the parts, part age information, and the part replacement probability. In addition to that, it is also possible to include information on the sudden and scheduled service needs of the products. Because the maintenance policy in use has an impact on the demand of spare parts, taking this information into account will improve the predictability of service parts demand. We aim to provide a new model which uses installed base information to predict future demand. This model combines information on the maintenance policy, the size of the installed base and its evolution over time, the part failure behaviour, and the replacement probability, in order to capture the full picture of the demand generating process.
    • Forecasting spare part demand with installed base information: A review

      Van der Auweraer, Sarah; Boute, Robert; Syntetos, Aris (2017)
      Service maintenance is commonly used to extend the lifetime of capital assets, such as manufacturing equipment or heavy infrastructure. When a service part, necessary to perform the maintenance action, is required but not immediately available, the incurred shortage costs may be substantial. For this reason, companies keep large stock buffers to deal with uncertain demand of these spare parts. Specialized service parts models should therefore focus on improving the availability of parts whilst limiting the investment in inventories. An important characteristic of most service parts is their intermittent demand pattern, for which specific forecasting techniques have been developed (see e.g., the review of Boylan and Syntetos, 2010). Many of these methods, however, rely on the time series of the historical demand and do not take into account the factors that generate the spare part demand: the failure behaviour of the components, the maintenance policy, etc. We refer to these factors as the Installed Base information. In our work we provide an overview of the papers which use installed base information for forecasting future service parts demand and we develop a new model which incorporates this information. Dekker et al. (2013) define installed base information as the information on the set of systems or products for which a company provides after sales services. It can include the number of installed and serviced machines (i.e. the size of the installed base), its evolution over time, the failure behaviour of the parts, part age information, and the part replacement probability. In addition to that, it is also possible to include information on the sudden and scheduled service needs of the products. Because the maintenance policy in use has an impact on the demand of spare parts, taking this information into account will improve the predictability of service parts demand. We aim to provide a new model which uses installed base information to predict future demand. This model combines information on the maintenance policy, the size of the installed base and its evolution over time, the part failure behaviour, and the replacement probability, in order to capture the full picture of the demand generating process.
    • Forward-looking reporting caught between company performance and the economic situation

      Fehre, Kerstin; Hoefer, Julia (Academy of Management Proceedings, 2015)
      This research explores both the impact of company performance and economic situation on the degree of future orientation in company reporting and the textual emphasis within forward-looking statements (company-external vs. company-internal prospective information). The examination is built on annual reports of all German HDAX companies during the period from 2003 to 2012. The results of the regression analysis reveal that high profitability and an improvement in the economy lead to an increased future orientation in company reporting. Hence, companies in an advantageous position send signals of long-lasting positive developments to capital markets. Results concerning the textual emphasis of the companies' forward-looking reporting demonstrate that the degree of forward-looking external statements increases due to company's profitability and to a downturn in the economy. In contrast, the degree of forward-looking internal statements increases due to an improvement in the economic situation. Furthermore, the economic situation positively directs the relation between performance and prospective internal reporting. Thus, forward-looking reporting focuses on the company's environment more strongly only if the economic situation is in decline (problem-oriented attention control) or if the current advantageous position of the company is preserved by the consideration of potential opportunities and risks arising from the company's environment.
    • Fostering the knowledge-sharing behavior of customers in interorganizational healthcare communities

      von Krogh, Georg; Seonwoo, Kim; Erden, Zeynep (2008)
      Knowledge is one of the most important sources of competitive advantage for companies. Recently nonprofit organizations and governments as well as companies have been trying to maximize knowledge sharing and creation. Despite its importance, sharing knowledge is not an easy task to implement. Therefore, a company has to provide a knowledge-enabling context to facilitate its customers' knowledge activities. The objective of this research is to understand knowledge sharing in interorganizational customer communities and to figure out how a company fosters its customers' knowledge sharing. For this, a model composed of behavioral intention, community features, empowered leadership, and a company as a knowledge activist was developed
    • Framing strategic organizational change

      Baert, Caroline; Debruyne, Marion (2016)
    • From creativity to success: Barriers and critical success factors in the creative process

      De Clippeleer, Inge; De Stobbeleir, Katleen; Dewettinck, Koen; Ashford, Susan (2009)
    • From creativity to success: Barriers and critical success factors in the successful implementation of creative ideas

      De Clippeleer, Inge; De Stobbeleir, Katleen; Dewettinck, Koen; Ashford, Susan (2009)
    • From creativity to success: the role of the employee proactivity in the creative process

      De Clippeleer, Inge; De Stobbeleir, Katleen; Dewettinck, Koen (2009)
    • From Florence forum to florence process: a look back

      Trinh, Quynh Chi; Meeus, Leonardo (2009)
    • From group disparity to group emotions: Theoretical underpinnings

      Boros, Smaranda; Curseu, Petru L .; Meslec, M.N (2009)
      By combining insights from relational network theory and agency theory we identify the boundary conditions to the embeddedness approach to partner selection decisions in interfirm collaborations. Employing a longitudinal dataset comprising the investment syndicates for the population of UK management buyouts between 1993 and 2003, we find that relational embeddedness is less important for selecting partners when agency risks are low, allowing firms to expand their networks. Furthermore, reputational capital may act as a partial substitute for relational embeddedness, again permitting firms to expand their networks. Our findings enhance understanding of the boundary conditions associated with the relational network approach to partner selections and network behaviour.
    • From me to we or from we to me? Tensions of social identity and change across cultures

      Boros, Smaranda (2020)
      The main theme of the conference is “The challenges of working with diversity in social systems”. With the general demographic trends and the challenges raised by the multiple (simultaneous) transitions faced by society today, diversity is a key topic on the research agendas in Social Sciences. We strive to harness the benefits of diversity in solving difficult societal and environmental issues and at the same time we try to find solutions to the problems associated with diversity (e.g., conflict, marginalization, exclusion).