Extending the enterprise evolution contextualisation model

Enterprise engineering (EE) emerged as a new discipline to encourage comprehensive and consistent enterprise design. Since EE is multidisciplinary, various researchers study enterprises from different perspectives, which resulted in a plethora of applicable literature and terminology, but without shared meaning. Previous research specifically focused on the fragmentation of knowledge for designing and aligning the information and communication technology (ICT) subsystem of the enterprise in order to support the business organisation subsystem of the enterprise. As a solution for this fragmented landscape, a business-IT alignment model (BIAM) was developed inductively from existing business-IT alignment approaches. Since most of the existing alignment frameworks addressed the alignment between the ICT subsystem and the business organisation subsystem, BIAM also focused on the alignment between these two subsystems. Yet, the emerging EE discipline intends to address a broader scope of design, evident in the existing approaches that incorporate a broader scope of design/alignment/governance. A need was identified to address the knowledge fragmentation of the EE knowledge base by adapting BIAM to an enterprise evolution contextualisation model (EECM), to contextualise a broader set of approaches, as identified by Lapalme. The main contribution of this article is the incremental development and evaluation of EECM. We also present guiding indicators/prerequisites for applying EECM as a contextualisation tool.     

Timing the Start of Material Substitution Projects: Creating Switching Options under Volatile Material Prices

Firms developing new products often face the challenge of making investment decisions under uncertain input–cost conditions due to the price volatilities of the materials they use. These decisions need to be made long before the final products are launched on the market. Therefore, firms that invest in the opportunity to switch materials in a timely manner will have the flexibility to react to material price changes and realize competitive advantages. However, volatile material prices may also cause a firm to delay investment. Using real‐options reasoning, this paper studies the influence of input‐cost fluctuations on the timing decision to start new product development (NPD) and thus create the follow‐on opportunity to later replace an existing product. A model that combines waiting and switching options to derive influencing factors of the flexibility value that triggers the investment is developed and tested on a sample of material substitution projects from manufacturing firms. The results show how price uncertainty of the new and the old material, their joint price development, the expected project duration, and competitive preemption are related to the propensity to delay the start of NPD. The findings provide new insights on how timing in adopting materials can be used to hedge exposure to volatile material prices. The insights are relevant for adopters and producers of new materials, as well as for policy makers who strive for supporting the diffusion of new materials.     

Firm heterogeneity, productivity and spatially bounded knowledge externalities

In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.     

Stochastic Generational Accounting Applied to Reforms of Dutch Occupational Pensions

This paper examines stochastic or ‘value based’ generational accounting as a method to assess the intergenerational redistributive impact of pension reform. The analysis is applied to three policy changes to the regulation of Dutch occupational pensions during the years 2012 and 2013 that mark the transition from defined benefit pensions to ‘defined ambition’ pension schemes.     

Job protection,housing market regulation,and the youth

Young Europeans experience high unemployment rates, job instability, and late emancipation. Meanwhile, they do not support reforms weakening protection on long‐term contracts. In this paper, we suggest a possible rationale for such reform distaste. When the rental market is strongly regulated, landlords screen applicants with regard to their ability to pay the rent. Protecting regular jobs offers a second‐best technology to sort workers, thereby increasing the rental market size. We provide a model where nonemployed workers demand protected jobs despite unemployment and the share of short‐term jobs increases, whereas the individual risk of dismissal is unaffected. Our theory can be extended to alternative risks and markets involving correlated risks and commitment under imperfect information.     

Cannabis use and mental health problems

This paper investigates whether cannabis use leads to worse mental health. To do so, we account for common unobserved factors affecting mental health and cannabis consumption by modeling mental health jointly with the dynamics of cannabis use. Our main finding is that using cannabis increases the likelihood of mental health problems, with current use having a larger effect than past use. The estimates suggest a dose–response relationship between the frequency of recent cannabis use and the probability of currently experiencing a mental health problem. Copyright © 2010 John Wiley & Sons, Ltd.     

The behavioural intentions of specialty coffee consumers in South Africa

More than 1.6 billion cups of coffee are consumed worldwide on a daily basis. South Africa is rapidly adapting to worldwide trends with speciality coffee consumption on the rise, with South Africa recently having been recognised as a key player in the speciality coffee industry. Emerging market trends in speciality coffee consumption have resulted in a number of changes in consumption patterns, preferences and consumer behaviour. The purpose of this study was to determine the behavioural intention of speciality coffee consumers in South Africa, using the Theory of Planned Behaviour. The data were gathered from a non‐probability sample of 327 respondents, who were selected through a self‐completion online questionnaire. The results indicate that males consume more speciality coffee than females. The majority of respondents consume speciality coffee more than once a day, and foam cappuccinos are consumed most regularly. The results of the stepwise multiple regression analysis demonstrate the utility of the Theory of Planned Behaviour as a conceptual framework for predicting the behavioural intention of speciality coffee consumers. The findings indicate that attitude, subjective norms and perceived behavioural control are important predictors of behavioural intention. Furthermore, perceived behavioural control is the most important factor influencing speciality coffee consumption, and the most influential of the direct measures of the Theory of Planned Behaviour. With the current rise in speciality coffee consumption among South Africans, the Theory of Planned Behaviour framework contributes to understanding those factors which influence regular speciality coffee consumption. It is recommended that marketers and practitioners adapt their offerings to appeal to the specific needs of the growing speciality coffee market in South Africa.     

The influence of job characteristics and self‐directed learning orientation on workplace learning

Given the increasing importance of learning at work, we set out to examine the factors which influence workplace learning behaviour. The study investigated the influence of the job characteristics from Karasek's Job Demand Control Support model and the personal characteristic self‐directed learning orientation on workplace learning. A total of 837 workers, aged between 18 and 65, from different sectors and with different educational levels completed a paper questionnaire. Analysis revealed that job demands and self‐directed learning orientation constitute significant and positive predictors of workplace learning behaviour. The study can help organizations to create job structures that promote workplace learning.