Third chapter of the English version of the book 'Energieke Arbeid' published by the Centre of Applied Labour Market Research and Innovation (Dutch abbreviation: KCA) to celebrate the 10th anniversary of applied labour market research at Hanze University of Applied Sciences. This chapter discusses the second line of research of KCA: The Labour Market in the EnergyPort Groningen Region.
In 2013 the Centre of Applied Labour Market Research (Kenniscentrum Arbeid, KCA) has developed a method for data collection to get an insight in employer’s future demand for staff. The method is developed to contribute to solve an action problem in the Eemsdelta region. Despite indications of a threat of shortage of technicians in that region, none of the regional actors undertakes action. They miss detailed information about the employers’ future demand for staff. To be able to take tailor-made measures, the actors must have a proper idea of the labour market problems which can be traced back to company level. For each job opening must be clear to which profession it is related and to which educational specialism and educational level. These information appears to be not available. For employers it is, understandable, difficult to estimate their future demand for staff, because a lot of uncertain factors influence that need. Especially SME’s who often don’t have a HR-officer are missing the knowledge and time or money to invest in making a future picture of their need for staff. And data from existing labour market information sources can’t be translated well at regional or local level, never mind at company level. Without detailed information about the future employer’s demand for staff, possible problems stay latent. There is no sense of urgency for the employers to take action and the regional policy makers are missing information to develop specific educational and labour market policy. To get the needed detailed information, it has to be obtained from the employers themselves, at company level. During a research pilot in 2013 KCA has designed a method for data collection and practiced it with nine companies in the Eemsdelta region. The results indicate that the method works. In a relatively labour-extensive way the needed information can be obtained. At company level it gives the employer insight in his actual and future staff requirements and makes him aware of possible problems. As regards to the policy makers, the pilot was too small for a complete regional picture, but it demonstrates that the anonymised data of the individual companies can be merged to one umbrella data-file. From that file analyses can be made to find trends and possible problems at the labour market, both at regional and sectoral level and to obtain input for developing effective policy. The successful results of the pilot offers good reasons for a follow-up study with much more companies and to develop the method into a complete labour market monitor, by broadening the method with data about the labour supply and data of new employers.
Purpose: Employer branding (EB) has become a powerful tool for organizations to attract employees. Recruitment communication ideally reveals the image that companies want to portray to potential employees to attract talents with the right skills and competences for the organization. This study explores the impact of EB on employer attractiveness by testing how pre-existing employee preferences interact with EB and how this interaction affects employer attractiveness. Design/methodology/approach: A quasi-experiment among 289 final-year students was used to test the relationships between EB, perceived employer image, person-organization (P-O) fit and employer attractiveness, and the potential moderating variables of pre-existing preferences, in this case operationalized as locational preferences. Students are randomly assigned to four vacancies: one with and one without EB cues in two different locations: Groningen and Amsterdam. The authors used standard scales for attractiveness, perceptions of an employer and person-organization fit. The authors test the relationships using a regression analysis. Findings: Results suggest that if respondents have previous predispositions, then their preference can be enhanced using an EB-targeted strategy. Based on these results, the authors can conclude that EB and related practices can be successful avenues for organizations in the war for talent, particularly if they reaffirm previous preferences of potential employees. Originality/value: The research is original in the way it provides empirical evidence on the relationship between EB and attractiveness, particularly when previous employee preferences exist. This is of value to employers using EB as a tool to influence employer attractiveness.
