Make IT Work: The Labor Market Effects of Information Technology Retraining in the Netherlands

De Economist - The aim of this paper is to evaluate the effects of an active labor market program (ALMP) for higher educated workers in the Netherlands. The one-year program is characterized by six...     

Why and when organizational culture fosters affective commitment among knowledge workers: the mediating role of perceived psychological contract fulfilment and moderating role of organizational tenure

Drawing on Denison and Mishra (1995)’s framework of organizational culture, this study examines why and when organizational culture is related to knowledge workers’ affective commitment. Data were collected from 640 employees working in three high-technology companies in China. The findings indicate that the relationship between organizational culture and affective commitment is mediated by perceived psychological contract fulfilment. In addition, organizational tenure moderates the relationship between two external dimensions (i.e. adaptability and mission) of organizational culture and perceived psychological contract fulfilment. This study extends the current theoretical framework of organizational culture by demonstrating the underlying mechanism and the boundary condition of the relationship between organizational culture and affective commitment. The findings also provide practical implications for international managers to design appropriate human resource management policies and practices in China.     

Déjà lu: On the limits of data reuse across multiple publications

Scholars in our field, Operations and Supply Chain Management (OSCM), are under high pressure to show research productivity. At most schools, this productivity is measured by the number of journal articles published. One possible response to such pressure is to improve research efficiency: publishing more journal articles from each data collection effort. In other words, using one dataset for multiple publications. As long as each publication makes a sufficient contribution, and authors ensure transparency in methods and consistency across publications, generating more than one publication from one data collection effort is possible. The aim of this Notes and Debates article, however, is to draw attention to inappropriate reuse of empirical data in OSCM research, to explain its implications and to suggest ways in which to promote research quality and integrity. Based on two cases of extensive data reuse in OSCM, eighteen problematic practices associated with the reuse of data across multiple journal articles are identified. Recommendations on this issue of data reuse are provided for authors, reviewers, editors and readers.     

Corporate rebranding: effects of corporate visual identity changes on employees and consumers

Many organizations invest periodically in a new corporate visual identity (CVI). This study investigates the main effects of CVI changes in four organizations, taking into account three independent variables: stakeholder type (employees vs. consumers), the specific organization, and communication about the CVI change. The results show that CVI changes had positive effects on CVI appreciation and identity/image. However, the effects were different for employees and consumers and differed between specific organizations. Furthermore, adequate communication about the new CVI appeared to be important for people’s appreciation of the CVI. The implications of these findings are discussed.     

A sequential Monte Carlo approach to inference in multiple‐equation Markov‐switching models

Vector autoregressions with Markov‐switching parameters (MS‐VARs) offer substantial gains in data fit over VARs with constant parameters. However, Bayesian inference for MS‐VARs has remained challenging, impeding their uptake for empirical applications. We show that sequential Monte Carlo (SMC) estimators can accurately estimate MS‐VAR posteriors. Relative to multi‐step, model‐specific MCMC routines, SMC has the advantages of generality, parallelizability, and freedom from reliance on particular analytical relationships between prior and likelihood. We use SMC's flexibility to demonstrate that model selection among MS‐VARs can be highly sensitive to the choice of prior.     

Effective HR implementation: the impact of supervisor support for policy use on employee perceptions and attitudes

Abstract

Effective implementation of human resource (HR) policies appears to depend on supervisors’ active involvement in the intervention process. Following recommendations of a recent intervention evaluation framework, we examine how perceived supervisor support during the implementation of a work-life intervention helps to change participants’ perceptions of organizational family supportiveness, and how this ultimately changes participants’ engagement and turnover intentions. A three-wave longitudinal study in a professional services firm (N = 434) that has formally involved supervisors in the process of a work-life intervention showed support for our study hypotheses. Supervisor support for policy use influenced employees’ positive work–home culture perceptions, which in turn strengthened employees’ work engagement and diminished their turnover intentions over time. We discuss practical implications and give recommendations on the future design of HR interventions and related policies.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Oil shocks and volatility jumps

Review of Quantitative Finance and Accounting - In this paper, we analyse the role of oil price shocks, derived from expectations of consumers, economists, financial market, and policymakers, in...     

The Brexit effect: the case of UK ADR performance one year later

In an unexpected outcome, UK voters decided that it was time to exit the European Union based on the results of a vote held on 23 June 2016. Studies of the affects and implication of Brexit include a study showing that the vote was met with a negative short-term wealth effect for UK American depository receipts (ADRs). This study examines the one-year anniversary holding period returns of these ADRs along with the British Pound and the FTSE 100 to discover any lingering effects from the historical vote. Results indicate that the one-year holding period returns for the ADRs averaged 5.8% for the year while the FTSE gained 4.8%, the S&P 500 gained 15.4% and the Pound lost 13.2% of its value.     

Discretionary technology bootlegging tensions in institutional healthcare work

We explore individuals who take some of their technology use ‘underground’, described as ‘bootlegging’, to enhance healthcare work. We find that healthcare professionals’ informal use of mobile applications in healthcare work sometimes ‘sticks out’ and this produces professional identity tensions: (1) conflict with perceptions of professional behaviour, and (2) defilement of expert judgment. Our analysis, moreover, reveals that identity work (i.e. ‘accepting’ and ‘sensemaking’) provides a coping mechanism to deal with these unresolved professional identity tensions. This paper contributes to a better understanding of the constitutive entanglements and two‐way interactions of discretionary technology bootlegging, professional identity and autonomy in institutional healthcare work.