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The purpose of this paper is to clarify how responsive market orientation (RMO) and proactive market orientation (PMO) create competitive advantage.

Nonlinear and interaction effects are tested by applying hierarchical regression analysis to a sample of 272 Colombian manufacturing companies.

The results show that although market orientation promotes the competitive advantage of a business, both approaches – responsive and proactive – exhibit saturation effects and a positive interaction.

The main limitation of this study is the cross-sectional design and the use of a single source for data collection. It is suggested that future research includes different orientations combined with these two market orientations – responsive and proactive – for achieving competitive advantage. In addition, further studies could replicate this analysis for different environmental conditions.

This paper simultaneously evaluates the nonlinear and complementary effects of RMO and PMO. From a strategic standpoint, it presents an empirical confirmation of the familiarity trap, the failure trap and the positive effects of combining RMO and PMO.

High-Performance Work Systems (HPWS) are viewed as strategic levers to a firm’s core competencies’ sustainability and continuous competitive advantage. The purpose of this paper is to explore what factors facilitate HPWS utilization, with a particular focus on the extent to which social capital (SC) derived from buyer-supplier relationships functions as a communication channel to spread effective HPWS implementation.

The authors propose a model of HPWS in which external SC not only favors the use of HPWS but also moderates the incidence of other common facilitators such as technology and flexibility. The study uses data from Spanish manufacturing industry.

Firms yielding external SC use HPWS more intensely, and the effect of technology constituents on HPWS utilization is contingent on SC accumulation. The findings are consistent with the existing HR literature on the subject but broaden its perspective by analyzing a specific pattern of SC and its pivotal role in the HPWS utilization process.

The cross-sectional nature of the database leaves open the possibility of causality relationship exploration between the variables of interest, which means that any causal interpretation should be cautious and properly motivated. The study is conducted in the Spanish manufacturing industry context, hence aims to generalize its results by explaining the logic behind the coexistence of HPWS and SC on a same conceptual level. This should be carefully treated and could be further strengthened by other country-level research. The approach does not consider the internal synergic mechanisms and the integration of HR practices.

The paper reveals the importance of inter-organizational SC in the Spanish manufacturing industry by showing how its embodiment in buyer-supplier relationships may allow firms to better understand the context in which HPWS are more likely to be useful.

The impact of social relationships on effective human resource management practices is highlighted.

The authors explore the factors that facilitate HPWS utilization, with a particular focus on the extent to which SC derived from buyer-supplier relationships functions as a communication channel to spread effective HPWS implementation.

Quality issues, increasing patient expectations and unsatisfactory media reports are driving patient safety concerns. Developing a quality and safety culture (QSC) is, therefore, crucial for patient and staff welfare, and should be a priority for service providers and policy makers. The purpose of this paper is to identify the most important QSC drivers, and thus propose appropriate operational actions for Saudi Arabian hospital managers and for managers in healthcare institutions worldwide.

Quantitative data from 417 questionnaires were analyzed using structural equation modeling. Respondents were selected from various hospitals and managerial positions at a national level.

Findings suggest that error feedback (FAE) and communication quality (QC) have a strong role fostering or enhancing QSC. Findings also show that fearing potential punitive responses to mistakes made on the job, hospital staff are reluctant to report errors.

To achieve a healthcare QSC, managers need to implement preemptive or corrective actions aimed at ensuring prompt and relevant feedback about errors, ensure clear and open communication and focus on continuously improving systems and processes rather than on failures related to individual performance.

This paper adds value to national healthcare, as Saudi study results are probably generalizable to other healthcare systems throughout the world.

Structural equation modeling (SEM) depicts one of the most salient research methods across a variety of disciplines, including hospitality management. Although for many researchers, SEM is equivalent to carrying out covariance-based SEM, recent research advocates the use of partial least squares structural equation modeling (PLS-SEM) as an attractive alternative. The purpose of this paper is to systematically examine how PLS-SEM has been applied in major hospitality research journals with the aim of providing important guidance and, if necessary, opportunities for realignment in future applications. Because PLS-SEM in hospitality research is still in an early stage of development, critically examining its use holds considerable promise to counteract misapplications which otherwise might reinforce over time.

All PLS-SEM studies published in the six SSCI-indexed hospitality management journals between 2001 and 2015 were reviewed. Tying in with the prior studies in the field, the review covers reasons for using PLS-SEM, data characteristics, model characteristics, the evaluation of the measurement models, the evaluation of the structural model, reporting and use of advanced analyses.

Compared to other fields, the results show that several reporting practices are clearly above standard but still leave room for improvement, particularly regarding the consideration of state-of-the art metrics for measurement and structural model assessment. Furthermore, hospitality researchers seem to be unaware of the recent extensions of the PLS-SEM method, which clearly extend the scope of the analyses and help gaining more insights from the model and the data. As a result of this PLS-SEM application review in studies, this research presents guidelines on how to accurately use the method. These guidelines are important for the hospitality management and other disciplines to disseminate and ensure the rigor of PLS-SEM analyses and reporting practices.

Only articles published in the SSCI-indexed hospitality journals were examined and any journals indexed in other databases were not included. That is, while this research focused on the top-tier hospitality management journals, future research may widen the scope by considering hospitality management-related studies from other disciplines, such as tourism research or general management.

This study contributes to the literature by providing hospitality researchers with the updated guidelines for PLS-SEM use. Based on a systematic review of current practices in the hospitality literature, critical methodological issues when choosing and using the PLS-SEM were identified. The guidelines allow to improve future PLS-SEM studies and offer recommendations for using recent advances of the method.

The purpose of this paper is to focus on the underpinning dynamics that explain collective intelligence.

Collective intelligence can be understood as the capacity of a collective system to evolve toward higher order complexity through networks of individual capacities. The authors observed two collective systems as examples of the dynamic processes of complex networks – the wiki course PeSO at the Universidad de Los Andes, Bogotá, Colombia, and an agent-based model inspired by wiki systems.

The results of the wiki course PeSO and the model are contrasted with a random network baseline model. Both the wiki course and the model show dynamics of accumulation, in which statistical properties of non-equilibrium networks appear.

The work is based on network science. The authors analyzed data from two kinds of networks: the wiki course PeSO and an agent-based model. Limitations due to the number of computations and complexity appeared when there was a high order of magnitude of agents.

Better understanding can allow for the measurement and design of systems based on collective intelligence.

The results show how collective intelligence emerges from cumulative dynamics.

I would like to be able to report that the film Salmer fra kjokkenet (Kitchen Stories) (dir. Bente Hamer, 2003) was a direct consequence of the powerful arguments I made for the use of ethnography in housing studies almost 20 years ago (Franklin, 1990). Sadly, I cannot! In this touching comedy drama from Norway, a team of Swedish ethnographers working from the Swedish Home Research Institute descend on a remote rural locality in Norway during the 1950s in order to study the kitchen habits and cultures of single living men. It is an improbable quest, until one learns that the same team discovered how Swedish housewives needlessly walk the equivalent distance between Stockholm and the Congo every year as they go about their routine kitchen business; a finding that successfully paved the way for more efficient kitchen design and culture. So it was that the team descended on the very perplexed and uncooperative Norwegian bachelors (the last sub-group in their programme) in order to map out their domestic inefficiencies. Comic tension is built both through their ethnographic props (the researchers were to sit on giant stools in the kitchens, giving them panoptic vision), rules (they were not to talk to respondents, although that proves awkward when lights are turned out by thrifty Norwegians) and living spaces (they were to live in specially designed, round caravans parked outside their respondent's homes). The film would have been a vindication of my arguments not so much because it demonstrates the truth that practical housing outcomes can arise from spending sufficient periods of time studying cultural milleux, but because it also demonstrates that the relationship between researchers and respondents become more productive over time, resulting in more reliable data, better understandings of that millieux and what their problems (and therefore often ‘ours’) actually consist of.

Partial least squares structural equation modeling (PLS-SEM) is an important statistical technique in the toolbox of methods that researchers in marketing and other social sciences disciplines frequently use in their empirical analyses. The purpose of this paper is to shed light on several misconceptions that have emerged as a result of the proposed “new guidelines” for PLS-SEM. The authors discuss various aspects related to current debates on when or when not to use PLS-SEM, and which model evaluation metrics to apply. In addition, this paper summarizes several important methodological extensions of PLS-SEM researchers can use to improve the quality of their analyses, results and findings.

The paper merges literature from various disciplines, including marketing, strategic management, information systems, accounting and statistics, to present a state-of-the-art review of PLS-SEM. Based on these findings, the paper offers a point of orientation on how to consider and apply these latest developments when executing or assessing PLS-SEM-based research.

This paper offers guidance regarding situations that favor the use of PLS-SEM and discusses the need to consider certain model evaluation metrics. It also summarizes how to deal with endogeneity in PLS-SEM, and critically comments on the recent proposal to adjust PLS-SEM estimates to mimic common factor models that are the foundation of covariance-based SEM. Finally, this paper opposes characterizing common concepts and practices of PLS-SEM as “out-of-date” without providing well-substantiated alternatives and solutions.

The paper paves the way for future discussions and suggests a way forward to reach consensus regarding situations that favor PLS-SEM use and its application.

This paper offers guidance on how to consider the latest methodological developments when executing or assessing PLS-SEM-based research.

This paper complements recently proposed “new guidelines” with the aim of offering a counter perspective on some strong claims made in the latest literature on PLS-SEM. It also clarifies some misconceptions regarding the application of PLS-SEM.

The purpose of this paper is to investigate the relationship between emotional intelligence (EI), organizational affective commitment (AC), and performance at low-skilled back office positions.

In all, 397 participants in low-skilled back office positions from a service company completed a questionnaire assessing EI, AC, and performance. The authors used multiple regression models for testing whether higher levels of EI and AC predicted better performance. Additionally, they tested to see whether EI and AC were positively related.

The results showed that workers in low-skilled back office positions with higher EI and AC had better performance. In this sense, intrapersonal skills and mood management were the dimensions of EI with the highest predictive power. Also, EI and AC were positively related, with intrapersonal skills and adaptability being the dimensions of EI most closely associated with AC. Finally, the predictive power on performance was increased when EI and AC were considered simultaneously.

Traditionally, the involvement of EI and other personal dimensions in increasing organizational commitment and better work performance has been studied in high-skilled and executive positions, as well as in front office low-skilled positions. However, there is little empirical evidence regarding the simultaneous influence of EI and AC on performance in low-skilled back office positions. This gap prompted this research, which suggests that the investment of organizational resources is mandatory for improving EI and, hence, organizational commitment and work performance in these employees.

The purpose of this paper is to identify and characterize patterns of physical activity among office workers employed in largely sedentary occupations at a major health insurer located in the Southeastern USA.

The authors used latent class analysis to identify segments of office workers (n=239) based on their self-reported activities of daily living and exercise behaviors. The authors examined the association of demographic characteristics with segment membership, and differences in accelerometer-measured weekly minutes of light and moderate-vigorous physical activity across segments.

The authors identified two segments and labeled them “exerciser” and “non-exerciser.” Being female was associated with lower odds of membership in the “exerciser” segment (OR=0.18; 95% CI=0.06, 0.52), while those with at least a bachelor’s degree were more likely to be in the “exerciser” segment (OR=2.12; 95% CI=1.02, 4.40). Mean minutes of moderate-vigorous physical activity per week were greater for the “exerciser” segment than the “non-exerciser” segment.

Based on this sample, the authors found that office workers in sedentary occupations were roughly equally divided and distinguished by their engagement in exercise-type behaviors. The findings underscore the need for innovative workplace programming that enhances activity opportunities particularly for those that are not likely to exercise.

A scarcity of research on activity patterns among office workers inhibits development of targeted worksite activity programming. The present research reveals two segments of workers with regard to their activity patterns and suggests ways for worksites to meet their unique needs.