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The purpose of this paper is to study how job reductions affect product innovation and marketing innovation in a sample of 2,034 Spanish manufacturing firms in the period 2007–2014.

Poisson and logistic regression models with random effects were used to analyse the impact of downsizing on some innovation outcomes of firms.

The results of this research show that the stressful measure of job reductions may have unexpected consequences, stimulating innovation. However downsizing combined with radical organisational changes such as new equipment, techniques or processes seems to have a negative impact on product and marketing innovation.

This research has two original features. First, it explores the unconventional direction of causality from the planned elimination of jobs to innovation outputs. Secondly, the paper looks at the combined effect of downsizing and other restructuring measures on different types of innovation. Following the threat-rigidity theory, we assume that this combination represents a major threat for survivors that leads to lower levels of product and marketing innovation.

In this paper, we study the influence of temporary workers in the relationship between innovation effort and product innovation in a large sample of Spanish manufacturing firms in a six-year period.

The article uses a zero-inflated regression model to analyse how the performance of innovation efforts is affected by the impact of temporary employment.

Our results show that the use of temporary employment has adverse effects for the conversion of innovation investments into innovation outputs. Firms with higher levels of fixed-term workers have less product innovations in comparison to firms that do not use this kind of workforce. However, this negative impact is less detrimental in technological-intensive sectors.

The value of this research for employment relations is salient as workers long-term protection seems to enhance the effectiveness of the innovation process. At the same time, the effects of temporary work vary depending on the sector.

The purpose of this paper is to focus on the relationship between student assessment method and e-learning satisfaction. Which e-learning assessment method do students prefer? The assessment method is an additional determinant of the effectiveness and quality that affects user satisfaction with online courses.

The study employs data from 1,114 students. The first set of data was obtained from a questionnaire on the online platform. The second set of information was obtained from the external assessment reports by e-learning specialists. The satisfaction revealed by the students in their responses to the questionnaire is the dependent variable in the multivariate technique. In order to estimate the influence of the independent variables on the global satisfaction, we use the ordinary least squares technic. This method is the most appropriate for dependent discrete variables whose categories are ordered but have multiple categories, as is the case for the dependent variable.

The method influences e-learning satisfaction, even though only slightly. The students are reluctant to be assessed by a final exam. Students prefer systems that award more importance to the assessment of coursework as part of the final mark.

Knowing the level of student satisfaction and the factors that influence it is helpful to the teachers for improving their courses.

In online education, student satisfaction is an indicator of the quality of the education system. Although previous research has analyzed the factors that influence e-student satisfaction, to the best of authors’ knowledge, no previous research has specifically analyzed the relationship between assessment systems and general student satisfaction with the course.

The purpose of this paper is to study planar sensor geometries for the measurement of film thickness in a viscous oil–water flow. The study is relevant due to there are only a few measurement techniques for oil-water flow and these techniques involve oil with low viscosity (close to the water viscosity). Specifically, some techniques have been used in the studies of annular flow (gas–liquid and liquid–liquid flows), but applications in other flow patterns were not encountered.

Different sensor geometries were numerically simulated to compare their characteristics and choose the best to measure the water film thickness in the oil–water flow through an impedance-based technique. Finite element method was used for resolving the tridimensional electric field over each sensor. The compared characteristics were the penetration depth, the sensitivity, the minimum spatial resolution (high spatial resolution) and the quasi-linear curve.

The best geometry tested has a spatial resolution of 2 × 2 mm, a penetration depth of 700 µm and a quasi-linear response in the measuring range. This geometry was tested by means of conductance and capacitance static experiments. From these experiments, it could be determined that conductance and the capacitance systems are promising for measuring water film thickness in an oil–water flow.

Several measurement techniques such as micro-PIV, planar laser-induced fluorescence and planar conductive or capacitive sensors that are supposed to be adaptable to the liquid–liquid flow have been proposed recently. Micro-PIV and planar-induced fluorescence need transparent pipes and fluids. On the other hand, conductive or capacitive methods have been only applied to low viscosity fluids. In that context, this paper proposes to study a new technique for non-intrusive measurement of the liquid-liquid flow. The main goal is the validation of the new planar sensor as a reference tool for the development of instrumentation for oilfield application.

Decision-making structures are commonly associated with the logistics challenges experienced during disaster operations. However, the alignment between the operational level and the decision-making structure is commonly overlooked. The purpose of this paper is to provide an analysis of the fit of both levels and its impact on performance.

The research is developed around a case study in Mexico. Through a review of the disaster management policy in the country, interviews and secondary data, the paper provides an analysis of the current decision-making structure, the logistics activities undertaken by authorities and the impact of the alignment between both components on logistics performance.

The analysis suggests that several of the challenges commonly associated with centralisation are actually rooted on its alignment with the operational level. The logistics performance is negatively affected by faulty assumptions, poorly planned procedures, inconsistent decision-making and poorly designed structures. The case showed the need to align the operational level with a centralised perspective to increase responsiveness, flexibility and the interaction between different organisations.

This paper identifies the impact of the misalignment between the decision-making structure and the operational level on logistics performance, an area currently understudied. It moves from the current argument about the appropriate decision-making structure for disaster management to the identification of components to implement an efficient and effective disaster management system. Additionally, this paper provides recommendations for best practices in humanitarian logistics, which are applicable to Mexico and other countries using a centralised decision-making approach.

This paper aims to explore the impact of face-to-face and online social interactions on coworkers’ perception of performance in coworking spaces (CWS) compared to working from home (WFH). CWS are work environments where different actors compete and collaborate. The impact of such interactions on performance remains unclear. Building on the conceptual framework of “coopetition” (Bengtsson et al., 2016) and the theory of hyperpersonal interactions (Walther, 1996), this research attempts to bring light into the discussion.

The study hypothesizes that frequent face-to-face community events negatively affect coworker performance compared to WFH. Conversely, digital platforms connecting CWS users are expected to enhance performance. The authors use a data set of 135 CWS users. Linear regression models are fitted using self-rated performance in the CWS compared to performance when WFH as dependent variable.

This study’s analysis shows that the frequency of face-to-face events is negatively associated with perceived performance at CWS compared to performance at WFH. Furthermore, CWS digital platforms do not show a significant relationship with performance in CWS compared to WFH.

This study adds to the literature on “coopetition” with specific reference to the case of CWS. It broadens the activity school perspective highlighting that coworking offline and online interactions have different performance implications. The paper also contributes to the theory of hyperpersonal interactions by studying the role of online communication. Findings help CWS managers to make informed decisions about the perceived outcomes of the services they provide. The analysis reveals the need to reconsider the frequency of face-to-face social events to avoid dysfunctional effects.

This study analysed the extent to which differences in personality traits and coworking experiences affect coworkers’ satisfaction with coworking spaces (CWS).

The present study is based on employee-workplace alignment theory (Appel-Meulenbroek et al., 2021). This approach addresses people’s ability to do their jobs in a certain work environment and studies job satisfaction as an outcome variable. We used a dataset of 135 CWS members grouped in the Spanish Association of Flexible Office Spaces, Prowork Spaces. The regression models were fitted using satisfaction with coworking as the dependent variable.

The findings support the idea that some psychological traits of coworkers, such as extroversion and agreeableness, have a significant influence on their satisfaction with coworking. Our study also shows that the relationship between coworking experience and satisfaction is curvilinear.

This study contributes to the advancement of employee-workplace alignment theory by showing that some personality traits are relevant variables for person-organisation fit in CWS. While extroversion and agreeableness are traditionally associated with prosocial outcomes, we found that agreeable coworkers were not more satisfied with CWS. In addition, the study identified a nonlinear relationship between experience and satisfaction with CWS, which has not been detected in previous studies.

本研究擬探討共同工作空間用戶的性格特質和使用共同工作空間的經驗會如何影響他們對共同工作空間的滿意度, 進而了解這影響的程度.

研究人員基於員工工作場所調整理論 (Appel-Meulenbroek et al., 2021) 進行分析和探討。這個研究理念用來了解人們在某種工作環境裏完成工作的能力, 並探討作為結果變數的工作滿意度。研究人員使用的數據集, 包括西班牙柔性辦公空間、團隊協同空間協會 (此為直譯) 內被分類的135個共同工作空間成員, 研究人員以對共同工作空間的滿意度為因變數而設置回歸模型.

研究結果確認了共同工作者的諸如外向性和友善等的心理特徵會顯著地影響他們對合作辦公的滿意度。研究結果亦顯示, 合作辦公的經驗與滿意度成曲線的關聯.

本研究會幫助推進員工工作場所調整理論, 因研究結果顯示, 有些性格特質, 就共同工作空間的人與組織間之可容納性而言是相關的變數。研究人員發現, 雖然外向性和友善在傳統上被認為與親社會結果有所關聯, 但友善的共同空間用戶對共同工作空間不是更為滿意的; 而且, 研究人員確認了一個過去的研究均未曾探測過的關聯, 那就是合作辦公的經驗與對共同工作空間的滿意度之間的關聯是非線性的.

This paper studies the impact that perceived proximity and employee voice have on the affective well-being of employees working from home (WFH). Drawing on Wilson et al.'s (2008) model of perceived proximity in virtual work, we believe that effectiveness in the use of the enterprise social network (ESN), communication and workmate identification increase the perceived proximity of teleworkers. We also propose that employee voice and perceived proximity have in turn positive implications in terms of well-being.

The study analyzes a dataset of 542 professionals with experience in home-based telework. Structural equation modeling (SEM) has been used to test the proposed hypotheses.

Results show that perceived proximity is significant and positively associated with affective well-being. Conversely, the expression of direct voice using electronic channels has a negative influence on the well-being of home-based teleworkers.

This study reveals the need to re-think the challenges of telework after the forced experiment of WFH provoked by the COVID-19 pandemics. Building on the “far-but-close” paradox, it emphasizes the role of workmate identification and communication and the perceived effectiveness of the ESN as sources of perceived proximity. At the same time, the paper adds to telework research by explaining how the expression of direct voice through electronic channels and indirect voice can have consequences in terms of well-being.

Polyurethane (PUR) foam parts are traditionally manufactured using metallic molds, an unsuitable approach for prototyping purposes. Thus, rapid tooling of disposable molds using fused filament fabrication (FFF) with polylactic acid (PLA) and glycol-modified polyethylene terephthalate (PETG) is proposed as an economical, simpler and faster solution compared to traditional metallic molds or three-dimensional (3D) printing with other difficult-to-print thermoplastics, which are prone to shrinkage and delamination (acrylonitrile butadiene styrene, polypropilene-PP) or high-cost due to both material and printing equipment expenses (PEEK, polyamides or polycarbonate-PC). The purpose of this study has been to evaluate the ease of release of PUR foam on these materials in combination with release agents to facilitate the mulding/demoulding process.

PETG, PLA and hardenable polylactic acid (PLA 3D870) have been evaluated as mold materials in combination with aqueous and solvent-based release agents within a full design of experiments by three consecutive molding/demolding cycles.

PLA 3D870 has shown the best demoldability. A mold expressly designed to manufacture a foam cushion has been printed and the prototyping has been successfully achieved. The demolding of the part has been easier using a solvent-based release agent, meanwhile the quality has been better when using a water-based one.

The combination of PLA 3D870 and FFF, along with solvent-free water-based release agents, presents a compelling low-cost and eco-friendly alternative to traditional metallic molds and other 3D printing thermoplastics. This innovative approach serves as a viable option for rapid tooling in PUR foam molding.

This article studies how experience and frequency of telework influence the acceptance and self-reported productivity of this mode of work in a context of pandemic-induced remote work.

The authors use a 2021 dataset of 542 professionals with previous or current experience in home-based telework. Two linear regression models are fitted using the willingness to telework and self-reported productivity as dependent variables.

The findings support the idea that previous telework specific experience and frequency of telework have a positive impact on the willingness to telework and self-reported productivity.

This paper questions the widely accepted idea according to which employees who telework occasionally experience the best outcomes. The authors have identified a “time after time” effect that shows the relevance of telework specific experience and frequency for the development of this mode of work.