A Paradigm Shift in the Implementation of Ethics Codes in Construction Organizations in Hong Kong: Towards an Ethical Behaviour

Science and Engineering Ethics - Due to the economic globalization which is characterized with business scandals, scholars and practitioners are increasingly engaged with the implementation of...     

Fostering collaborative mind-sets among customers: a transformative learning approach

To succeed and grow, companies must win new customers. However, selling innovative solutions to prospective business customers remains challenging. We seek to explore how salespeople create, early in the sales process, collaborative customer mind-sets to accommodate learning and adoption of new solutions. By applying transformative learning theory and analyzing authentic video-recorded business-to-business (B2B) initial sales meetings, we are able to determine the microlevel processes and mechanisms taking place in transformative sales dialogue. In this article, we outline seven interactional activities occurring in reflective dialogue cycles, a key means by which salespeople create new customer mind-sets. Reflective dialogue cycles form a spiral-shaped process requiring completion to achieve a shared new understanding favorable to adopting new approaches. Through our analysis, we demonstrate the value of transformative learning theory in better understanding sales interactions. Along with theoretical contributions, our results may help managers and salespeople better develop new business customers.     

Cognitive predictors of single-digit and procedural calculation skills and their covariation with reading skill

This study examined the extent to which children's cognitive abilities in kindergarten and their mothers' education predict their single-digit and procedural calculation skills and the covariance of these with reading skill in Grade 4. In kindergarten, we assessed children's (N=178) basic number skills, linguistic skills, and visual attention. In Grade 4, we assessed their calculation and reading skills. Data on children's cognitive ability at 5 years of age and their mothers' level of education were also collected. The results showed that both of the core components of calculation, single-digit and procedural calculation, as well as their covariance with reading, were predicted by unique cognitive factors. Fluency in single-digit calculation and text reading shared an underlying cognitive process, that is, the ability to fluently retrieve verbal or visual-verbal associations from long-term memory. In contrast, procedural calculation was predicted not only by single-digit calculation but also by mother's education and conceptual knowledge of numbers. Overall, the results suggest that a multicomponential approach, including a hierarchical relation among various components, is fruitful when trying to understand the development of mathematical skill and its covariation with reading.     

A short measure of the need for affect

Two studies are presented to introduce a 10-item short form of the Need for Affect Questionnaire (NAQ-S; cf. Maio & Esses, 2001 ). Study 1 was based on 4 independent samples (German or English language; N (total) = 2,151) and demonstrated the expected factorial structure of the NAQ-S; its measurement invariance with respect to gender, age, and education; and the predicted associations with relevant personality measures. A latent state-trait analysis conducted in Study 2 (N = 140) suggests that most of the reliable variance of the NAQ-S represents stable individual differences.     

Remembering parts and wholes: Configural processing in face recollection

In two experiments, we examined the role of configural processing on states of awareness in face recognition. Configural processing was manipulated by presenting upright and inverted faces during study and test. After studying facial photographs of humans (Experiment 1) and horses (Experiment 2), participants provided a remember/know judgement for each recognised test face. In both experiments, disrupted configural processing had selective effects on states of awareness, so that inversion reduced remember, but not know, responses. Experiment 2 revealed disproportionate inversion effects in that the difference in remember responses between upright and inverted items was significant for human faces but not horses. These findings suggest that configural processing facilitates explicit recollection by providing a distinctive combination of nonsalient event attributes.     

Exploring Different Forms of Job (Dis)Satisfaction and Their Relationship with Well‐Being,Motivation and Performance

Job satisfaction is often treated as a one‐dimensional construct. In contrast, Bruggemann ( 1974 ) postulated six distinct forms of (dis)satisfaction: four types of satisfaction (progressive, stabilised, resigned, pseudo) and two types of dissatisfaction (constructive, fixated). Despite her theory's practical relevance, few researchers have explored its assumptions or applications. The current study aimed to characterise a German‐speaking employee sample (n = 892) according to Bruggemann's theory using mixture modelling. We investigated stability of the (dis)satisfaction forms over a five‐month period, as well as their relationship with well‐being, motivation and (self‐reported) performance. We found latent clusters corresponding to most Bruggemann types, though no distinction between progressive and stabilised satisfaction was possible. While cluster membership varied over time, some clusters (e.g. resigned satisfaction) were more stable than others (e.g. constructive dissatisfaction). Overall satisfaction level explained 25–51 per cent variance in well‐being and motivation, and 13–16 per cent variance in performance. Including forms of satisfaction improved cross‐sectional prediction by 2–6 per cent explained variance. Results suggest that unfavourable consequences of job dissatisfaction may be limited to fixated—not constructive—dissatisfaction, though no consistent longitudinal effects emerged. We argue that exploring qualitative differences in job satisfaction promotes a more nuanced and potentially useful understanding of the relationship between satisfaction and work outcomes.     

VANHASET. ESSEITÄ VANHENEMISESTA

The focus of this paper is on how the visual perception of an analysand reflects central inner object relations. The article raises the question of how to understand the analysand's visual perception. Is it merely projections of content? Of form? Or is it ingrained in the whole personality, and in that respect revealing a mode of functioning which spreads out to cognitive as well as emotional areas? In the analysand's visual constructions, figure- ground perception seems to be closely related to the process of separation and individuation. The shadow perception seems to be related to loss. As products of mentalisation, these perceptual tendencies seem to bind the affect at the level of imagery, which is a higher level of psychic transformation than somatic or motor activity, but lower than verbalisation.     

Maintained Individual Data Distributed Likelihood Estimation (MIDDLE)

Maintained Individual Data Distributed Likelihood Estimation (MIDDLE) is a novel paradigm for research in the behavioral, social, and health sciences. The MIDDLE approach is based on the seemingly impossible idea that data can be privately maintained by participants and never revealed to researchers, while still enabling statistical models to be fit and scientific hypotheses tested. MIDDLE rests on the assumption that participant data should belong to, be controlled by, and remain in the possession of the participants themselves. Distributed likelihood estimation refers to fitting statistical models by sending an objective function and vector of parameters to each participant’s personal device (e.g., smartphone, tablet, computer), where the likelihood of that individual’s data is calculated locally. Only the likelihood value is returned to the central optimizer. The optimizer aggregates likelihood values from responding participants and chooses new vectors of parameters until the model converges. A MIDDLE study provides significantly greater privacy for participants, automatic management of opt-in and opt-out consent, lower cost for the researcher and funding institute, and faster determination of results. Furthermore, if a participant opts into several studies simultaneously and opts into data sharing, these studies automatically have access to individual-level longitudinal data linked across all studies.