Balancing processes of external contingency and internal P-O fit is amongst the challenges facing innovative HE institutions today. This multi-level case study presents findings from a research & development program targeted to investigate and improve organisational-, leadership- and employees’ capacities to design, select and develop the human capital necessary to meet the strategic demands. The R&D project is framed as a collective organisational learning strategy with continuous alternation of research, design, pilots and implementation activities. Work in progress till 2020. At present 25 strategic personnel plans are developed for degree programs and other organizational units, each of which is tailored to the strategic horizon and market of that specific organisational entity. Furthermore, instrumentation to run a strategic personnel planning process for knowledge institutions is developed transferable to other institutions. Finally, input is provided for the development of strategic HRM for career development & mobility, professionalisation, team development and resourcing strategy. https://www.hec2019.nl/108493/wiki/449361/programme-abstracts
In today’s multichannel retail environment, consumers’ experiences in one channel influence their perceptions of another channel. Specifically, consumer evaluations of a firm’s online store have been found to be influenced by consumer interactions with the firm’s in-store personnel. This paper is among the first to address this assumption and test it empirically. Drawing upon the analogical transfer paradigm, we propose hypotheses and accordingly model in-store personnel’s competence and friendliness as determinants of online store usefulness, online store enjoyment, and online store value. Using consumer data collected from two Dutch multichannel retailers, we test this model with partial least squares modeling. The results provide clear support for the model and confirm that consumers may use characteristics of in-store personnel as analogies when evaluating a firm’s online store. Implications for research and retail managers are discussed.
Credit management neemt toe in belang. Oorzaken hiervan zijn onder meer de toenemende concurrentiedruk, nieuwe regelgeving zoals Basel II en de grotere focus op werkkapitaal in het kader van sturen op aandeelhouderswaarde. Publicaties over credit management richten zich overwegend op proces- en procedurebeschrijvingen, kredietwaardigheidsbeoordeling en auditingchecklists. Deze onderwerpen zijn ontegenzeggelijk relevant voor de analyse van credit management, maar vormen geen antwoord op de vraag hoe de control van credit management moet worden ingericht. In dit artikel wordt een praktische controlaanpak geïntroduceerd die gebaseerd is op het management control framework van Merchant en de verschillende typen kredietbeleid zoals omschreven door Wallis. Het resultaat is een aanpak die eenvoudig en praktisch toepasbaar is, geschikt is voor verschillende typen kredietbeleid en rekening houdt met verschillende typen controls.
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
Despite Dutch Hospitality industry’s significant economic value, employers struggle to attract and retain early career professionals at a time when tourism is forecasted to grow exponentially (Ruël, 2018). Universally, hospitality management graduates are shunning hospitality careers preferring other career paths; stimulating the Dutch Hospitality to find innovative ways of attracting and retaining early career professionals. Following calls from the Human Resource Management (HRM) community (Ehnert, 2009), we attribute this trend to personnel being depicted as rentable resources, driving profit’’ often at personal expense. For example, hotels primarily employ immigrants and students for a minimum wage suppressing salaries of local talent (Kusluvan, et al 2010, O’Relly and Pfeffer, 2010). Similarly, flattening organizational structures have eliminated management positions, placing responsibility on inexperienced shoulders, with vacancies commonly filled by pressured employees accepting unpaid overtime jeopardizing their work life balance (Davidson, et al 2010,). These HRM practices fuel attrition by exposing early career professionals to burnout (Baum et al, 2016, Goh et al, 2015, Deery and Jog, 2009). Collectively this has eroded the industry’s employer brand, now characterized by unsocial working hours, poor compensation, limited career opportunities, low professional standing, high turnover and substance abuse (Mooney et al, 2016, Gehrels and de Looij, 2011). In contrast, Sustainable HRM “enables an organizational goal achievement while simultaneously reproducing the human resource base over a long-lasting calendar time (Ehnert, 2009, p. 74).” Hence, to overcome this barrier we suggest embracing the ROC framework (Prins et al, 2014), which (R)espects internal stakeholders, embraces an (O)pen HRM approach while ensuring (C)ontinuity of economic and societal sustainability which could overcome this barrier. Accordingly, we will employ field research, narrative discourse, survey analysis and quarterly workshops with industry partners, employees, union representatives, hotel school students to develop sustainable HRM practices attracting and retaining career professionals to pursue Dutch hospitality careers.
The postdoc candidate, Sondos Saad, will strengthen connections between research groups Asset Management(AM), Data Science(DS) and Civil Engineering bachelor programme(CE) of HZ. The proposed research aims at deepening the knowledge about the complex multidisciplinary performance deterioration prediction of turbomachinery to optimize cleaning costs, decrease failure risk and promote the efficient use of water &energy resources. It targets the key challenges faced by industries, oil &gas refineries, utility companies in the adoption of circular maintenance. The study of AM is already part of CE curriculum, but the ambition of this postdoc is that also AM principles are applied and visible. Therefore, from the first year of the programme, the postdoc will develop an AM material science line and will facilitate applied research experiences for students, in collaboration with engineering companies, operation &maintenance contractors and governmental bodies. Consequently, a new generation of efficient sustainability sensitive civil engineers could be trained, as the labour market requires. The subject is broad and relevant for the future of our built environment being more sustainable with less CO2 footprint, with possible connections with other fields of study, such as Engineering, Economics &Chemistry. The project is also strongly contributing to the goals of the National Science Agenda(NWA), in themes of “Circulaire economie en grondstoffenefficiëntie”,”Meten en detecteren: altijd, alles en overall” &”Smart Industry”. The final products will be a framework for data-driven AM to determine and quantify key parameters of degradation in performance for predictive AM strategies, for the application as a diagnostic decision-support toolbox for optimizing cleaning &maintenance; a portfolio of applications &examples; and a new continuous learning line about AM within CE curriculum. The postdoc will be mentored and supervised by the Lector of AM research group and by the study programme coordinator(SPC). The personnel policy and job function series of HZ facilitates the development opportunity.
