Search results

This chapter provides a contemporary view of state-of-the science research and thinking done in the areas of selection and classification. It takes as a starting point the observation that the world of work is undergoing important changes that are likely to result in different occupational and organizational structures. In this context, we review recent research on criteria, especially models of job performance, followed by sections on predictors, including ability, personality, vocational interests, biodata, and situational judgment tests. The paper also discusses person-organization fit models, as alternatives or complements to the traditional person-job fit paradigm.

Purpose – This chapter provides an overview of multilevel modeling with a focus on the application of hierarchical linear modeling (HLM) in international management research.

Findings – The key topics covered include an introduction to hierarchical linear models, how to apply appropriate hierarchical linear models to address different types of international management research questions, and six methodological issues concerning international management research with a multilevel analysis.

Originality/value – The overview of HLM and its relevance for international management research facilitates researchers to apply this powerful analytical strategy in their future research.

Existing literature suggests that construction worker safety could be optimized using emerging technologies. However, the application of safety technologies in the construction industry is limited. One reason for the constrained adoption of safety technologies is the lack of empirical information for mitigating the risk of a failed adoption. The purpose of this paper is to fill the research gap through identifying key factors that predict successful adoption of safety technologies.

In total, 26 key technology adoption predictors were identified and classified using a combination of literature review and an expert panel. The level of influence for each identified safety technology adoption predictor was assessed and ranked using the Relative Importance Index. Analysis of variance was performed as well to assess the potential difference in perceived level of importance for the predictors when the study participants were clustered according to work experience and company size.

Statistical analysis indicates that 12 out of the 26 predictors identified are highly influential regarding technology adoption decision-making in construction. Technology reliability, effectiveness and durability were ranked as the most influential predictors. The participants who work for small companies and who had less than ten years of experience rated individual- and technology-related predictors significantly lower than the experienced participants working for medium and large companies.

The present study provides construction researchers and practitioners with valuable information regarding safety technology predictors and their magnitude, both of which are essential elements of a successful safety technology adoption process. Improved technology adoption can enhance workplace safety and minimize worker injuries, providing substantial benefits to the construction industry.

This study contributes to technology adoption knowledge by identifying and quantifying the influential predictors of safety technologies in relation to different organizational contexts. The study informs the need to develop an integrated conceptual model for safety technology adoption.

Does staffing contribute to organizational effectiveness and sustained competitive advantage, or are many of staffing’s implications merely cross-level fallacies? This article provides a critical examination of staffing research and practice, and proposes a multilevel model of staffing that ties together micro (e.g. personnel selection), meso (e.g. team staffing), and macro (e.g. organizational strategy, Human Resources practices) theory, research, and practice. The model is both integrative and prescriptive, providing a basic organizing structure for examining staffing research within and across levels. The article begins with a review of multilevel theory, followed by a review and critique of the dominant staffing paradigms from a multilevel perspective. It is shown these single level paradigms cannot answer many of the primary questions of interest to staffing specialists. In contrast, the multilevel staffing model not only addresses these limitations, but also prompts a variety of new predictions that oftentimes run counter to prevailing wisdom. Staffing specialists are challenged to show how our science and practice contribute to better functioning organizations.

Although models have been published in the literature covering various aspects of the job performance domain (e.g., technical performance, contextual performance), researchers have recently recognized a void in these models and have called for their expansion to include adaptive performance components (Campbell, 1999; Hesketh & Neal, 1999; London & Mone, 1999; Murphy & Jackson, 1999). Toward this end, Pulakos, Arad, Donovan, and Plamondon (2000) developed a taxonomy of adaptive job performance similar to the model of job performance developed by Campbell, McCloy, Oppler, and Sager (1993). This model contained eight dimensions of adaptive job performance. Pulakos et al. began their research with a review of various literatures on adaptability and identified six different aspects of adaptive performance. These are shown in Table 1, along with the research references from which they were derived. The diversity of substantive areas that are represented in the research articles cited in Table 1 is a testament to the perceived importance of adaptability across a number of behavioral disciplines. Although the idea that adaptive performance is multi-dimensional was reasonable based on the wide range of behaviors “adaptability” has encompassed in the literature (for example, adapting to organizational change, different cultures, different people, new technology), no published research prior to Pulakos et al. had systematically defined or empirically examined specific dimensions of adaptive job performance. Pulakos et al. conducted two studies to refine the six-dimension model of individual adaptive job performance derived from the literature. In Study 1, over 1,000 critical incidents from 21 different jobs were content analyzed, yielding an eight-dimension taxonomy of adaptive performance. That is, the critical incident analysis produced two additional adaptive performance dimensions that are shown at the bottom of Table 1.

To compete in a globally challenging environment, small and medium enterprises (SMEs) are increasingly pressured to leverage their relational capital to stay competitive. The purpose of this study is to model the KS behaviour of SMEs in an increasingly networked world through communities of practice (CoP).

Data were collected using a survey instrument developed based on prior literature from SMEs operating only in the electronic manufacturing industry. A total of 120 responses were received of which only 100 were valid. SmartPLS, a second-generation analysis software, was used to analyse the model developed.

The findings indicated that affect, reward, perceived consequences and social factor were all positive predictors of KS behaviour of SMEs in communities of practice. Interestingly, the facilitating conditions were found to negatively influence KS behaviour.

The findings are helpful to SMEs who are embarking on knowledge management (KM) practices in their respective companies and may be used to leverage the drivers of KM to improve more sharing behaviour that keeps SMEs competitive.

To the best of the authors' knowledge, few studies have explored the individual (i.e. perceived consequences, affect), social (i.e. social factor) and organisational (i.e. facilitating condition, reward) predictors of KS behaviour among CoP’s in Malaysian SMEs.

The purpose of this paper is to simultaneously examine individual‐ and team‐level predictors of workplace victimization by applying two‐level modeling. Previous workplace victimization research has primarily been conducted on the individual level of analysis, which may be insufficient when assessing organizational‐ and team‐level predictors of workplace victimization. The authors examined the relationships between target personality (Big Five personality factors), perceived stressors, work climate, and perceived workplace victimization.

The research was conducted in organizations within the restaurant sector; the data were obtained using questionnaires completed by employees and supervisors (n=207) in 70 restaurants.

A model that included all variables fitted the data well. However, individual‐level perceived stressors was the only variable that was significantly related to workplace victimization. The facts that our model included team‐level climate factors and individual‐level personality traits, and both individual‐ and team‐level victimization showed good fit to the data, with only one specific variable in the model showing any significant relationship with bullying, may indicate that bullying is more a consequence of the total risk factors than related to specific factors, on an individual or team level. Hence, it is the additive effect of the factors that matters more than each individual factor.

Of practical relevance is that the paper provides evidence that both individual and team‐level factors are related to workplace victimization, indicating that bullying cannot be prevented by focusing on clearly defined risk factors either on team or individual levels. As a manager, one must work on all aspects of the social working environment, including the total vulnerability of one's employees and their respective levels of work stress.

From a methodological viewpoint, the paper demonstrates that an analysis of clustered individual‐level data, without the application of proper multilevel analysis, may lead to biased results.

The study examines the role that societal levels of self-control – behavioral and cognitive self-control – play in shaping entrepreneurial intentions after both favorable and unfavorable prior exits.

Using Global Entrepreneurship Monitor (GEM) data set on the nature of entrepreneurial exits from 32 countries between 2007 and 2010 and supplementing this data set with country-level scores of behavioral and cognitive self-controls, the authors test five hypotheses on the effects of societal levels of self-control on post-exit entrepreneurial intentions.

The study finds that individuals who exit entrepreneurship for negative reasons (versus positive reasons) are more likely to form entrepreneurial intentions. Further, societal levels of self-control moderate this likelihood.

The study invokes the psychological construct of self-control in the context of entrepreneurship. The novelty lies in rendering self-control as also a higher order societal level construct and then also empirically testing the role that societal self-control plays in shaping entrepreneurial intentions after prior exits. Societal self-control accounts for cross-country variance in why individuals in some societies are better suited and capable to return to entrepreneurship despite unfavorable prior exits.

This research aims to examine the relationship between conflict management in the workplace and member satisfaction in work groups at both individual and group levels.

The objectives were achieved by surveying 135 Korean teachers in 28 kindergartens, treating them as small work groups. A multilevel modeling technique was used to examine the impact of conflict management preferences on individual satisfaction with group processes.

For the cooperation style of conflict management, individual‐level preference and group‐level similarity in preference were related positively to individual satisfaction with group processes. Individual‐level preference and group‐level similarity in preference for the avoidance style, however, did not significantly influence individual satisfaction with group processes. It was also found that the positive relationship between individual preference for the cooperation style and satisfaction with group processes was stronger with less variation (i.e. greater similarity) in group‐level preference for the cooperation style and with greater variation (i.e. less similarity) in group‐level preference for the avoidance style. Research limitations/implications – No causality can be established between conflict management style preferences and satisfaction with group processes. Only two styles of conflict management were assessed with a small number of measurement items.

The study shows how useful a multilevel examination of conflict management style preferences and satisfaction with group processes can be for conflict research.

The purpose of this article was to examine how individual positive emotions and team work engagement (TWE) relate to the perceptions of team viability.

A total of 254 teams (N = 1,154 individuals) participated in this study, and a multilevel analysis was conducted of the effects of individual and team-level factors.

The multilevel analysis results suggest a partial compensatory effect. High levels of individual positive emotions and high TWE are associated with a positive effect on the perceptions of team viability. Simultaneously, being part of a highly engaged team has a protective effect on perceptions of team viability, when individuals experience low levels of positive emotions.

As the study was conducted with teams involved in a management simulation, generalizing the results to “real world” teams must be done with caution.

Nonetheless, these findings have important implications for managers of work groups. They highlight the need to consider collective states of work groups as relevant for their effectiveness, and suggest that promoting positive interactions between team members may result in gains in team viability perceptions, mostly when individual emotions are less positive.

We consider both individual and collective affective experiences at work, and focus on a less studied outcome, team viability. Additionally, we empirically demonstrate the relevance of collective states of teams for team members’ individual perceptions, as a top-down influence mechanism.