Investigating Equity Sensitivity as a Moderator of Relations Between Self-Efficacy and Workplace Attitudes

This study integrated measures of equity sensitivity and self-efficacy in an effort to better understand how these variables may affect job satisfaction, organizational commitment, and intent to leave. Equity sensitivity denotes how sensitive people are to overreward and underreward situations and has recently enhanced the accuracy of equity theory in predicting job satisfaction in social exchange situations. Self-efficacy, or task-specific self-confidence, is a central component of Bandura\u27s social cognitive theory, and its influence on individuals\u27 goals, efforts, and task persistence is well documented. Results from a field study of 242 employees in a health care firm support the moderating role of equity sensitivity in relations between self-efficacy and job satisfaction and between self-efficacy and intent to leave, but not between self-efficacy and organizational commitment. (PsycINFO Database Record (c) 2010 APA, all rights reserved

The Effective Use of Multimedia Distance Learning Technology: The Role of Technology Self-Efficacy, Attitudes, Reliability, Use and Distance in a Global Multimedia Distance Learning Classroom

According to the 1999 ASTD State of the Industry Report, the use of multimedia distance learning (MDL) technology for training delivery has increased substantially over the past few years. However, few empirical studies have been conducted that rigorously examine the factors that determine the effectiveness of MDL courses. In this study, we examine participants’ technology self-efficacy and attitudes toward technology (measured before/after training), and perceptions of technology reliability, effective use, and distance (measured after training) as antecedents to ratings of training effectiveness (general effectiveness, specific effectiveness, learning effectiveness; measured after training) in an international HRM course. In a sample of 52 participants from four countries we hypothesize that technology self-efficacy will affect participants’ attitudes toward technology; attitudes toward technology will affect participants’ perceptions of training effectiveness. In addition, we hypothesize that technology reliability and effective use will affect participants’ perceptions of classroom distance; distance perceptions will affect participants’ perceptions of training effectiveness. Finally, we hypothesize that both technology attitudes and distance perceptions will be related to participants’ perceptions of training effectiveness controlling for technology self-efficacy, reliability, and effective use. The results indicate that attitudes toward technology completely/partially mediated the relationship between technology self-efficacy and the three measures of effectiveness. Distance perceptions completely/partially mediated the relationship between technology reliability and effectiveness. Effective technology use was not significantly related to effectiveness. Finally, attitudes toward technology and distance perceptions explained a significant or marginally significant amount of variance in the effectiveness measures after controlling for technology self-efficacy, reliability, and effective use

Efficacy of landfill tax and subsidy policies for the emergence of industrial symbiosis networks: An agent-based simulation study

Despite the theoretical value of industrial symbiosis (IS), this approach appears to be underdeveloped in terms of practical applications. Different attempts to stimulate IS in practice are noticed, one of them consisting in the application of adequate policy measures. This paper explores the efficacy of two specific policies (landfill tax and economic subsidy for IS exchanges) in supporting the emergence of self-organized industrial symbiosis networks (ISNs). We frame the ISNs as complex adaptive systems and we design an agent-based model to simulate their emergence. We use a real case study and, by means of the simulation model, we assess how the two policy measures are able to enhance the formation of spontaneous IS relationships, thereby forcing the emergence of the ISN. Results show that both policy measures have a positive effect in all scenarios considered, but the extent is strictly dependent on the environmental conditions in which IS relationships occur. The economic implications for the government are finally discussed

Monetary efficacy in the community level

Hypothesis of the paper is that the monetary room for manoeuvre in the European Community is determined by the institutional and strategic characteristics of the ECB, moreover the financial market environment composed by multi-state community. The methodology of the paper is built on the evaluation of the decision making and strategy of ECB as institutional aspect, and the monetary transmission in national financial markets. In policy evaluation, the monetary targeting is surveyed through HICP, monetary base, central bank rates, exchange rates and treatment of price impacts. The transmission is examined through analysis of structure of the member state’s financial markets

t-Exponential Memory Networks for Question-Answering Machines

Recent advances in deep learning have brought to the fore models that can make multiple computational steps in the service of completing a task; these are capable of describ- ing long-term dependencies in sequential data. Novel recurrent attention models over possibly large external memory modules constitute the core mechanisms that enable these capabilities. Our work addresses learning subtler and more complex underlying temporal dynamics in language modeling tasks that deal with sparse sequential data. To this end, we improve upon these recent advances, by adopting concepts from the field of Bayesian statistics, namely variational inference. Our proposed approach consists in treating the network parameters as latent variables with a prior distribution imposed over them. Our statistical assumptions go beyond the standard practice of postulating Gaussian priors. Indeed, to allow for handling outliers, which are prevalent in long observed sequences of multivariate data, multivariate t-exponential distributions are imposed. On this basis, we proceed to infer corresponding posteriors; these can be used for inference and prediction at test time, in a way that accounts for the uncertainty in the available sparse training data. Specifically, to allow for our approach to best exploit the merits of the t-exponential family, our method considers a new t-divergence measure, which generalizes the concept of the Kullback-Leibler divergence. We perform an extensive experimental evaluation of our approach, using challenging language modeling benchmarks, and illustrate its superiority over existing state-of-the-art techniques

The Impact of Entrepreneurial Intentions & Actions on Environmental Sustainability: The Case of SMEs in Cameroon.

The importance of corporate social responsibility is shaping investment decisions and entrepreneurial actions in diverse perspectives. The rapid growth of SMEs has tremendous impacts on the environment. Nonetheless, the economic emergence plan of Cameroon has prompted government support of SMEs through diverse projects. This saw economic growth increased to 3.8% and unemployment dropped to 4.3% caused by the expansion of private sector investments. The dilemma that necessitated this study is the response strategy of SMEs operators towards environmental sustainability. This study, thus seeks to examine the effects of entrepreneurial intentions and actions on environmental sustainability. The research is a conclusive case study design supported by the philosophical underpins of objectivism ontology and positivism epistemology. Data was sourced from four hundred (400) SMEs operators purposively sampled from the Centre and Littoral regions of Cameroon using structured questionnaire. Data was analysed using the Structural Equation Modelling technique with the aid of statistical packages including: SPSS 24 and AMOS 23. The study revealed that entrepreneurial action has weak positive statistical significant impacts on environmental sustainability; whereas entrepreneurial intention has strong positive statistical significant effects on environmental sustainability. Entrepreneurial intention comprised of self-efficacy and perceived control whereas, entrepreneurial actions involved entrepreneurial alertness and uncertainty. This study concludes that entrepreneurs in Cameroon have sustainable intentions to protect the environment but; the current actions taken are inadequate. This research recommends that entrepreneurs should enhance efforts toward attaining the state of genuine sustainabilit

Innovator resilience potential: A process perspective of individual resilience as influenced by innovation project termination

Innovation projects fail at an astonishing rate. Yet, the negative effects of innovation project failures on the team members of these projects have been largely neglected in research streams that deal with innovation project failures. After such setbacks, it is vital to maintain or even strengthen project members’ innovative capabilities for subsequent innovation projects. For this, the concept of resilience, i.e. project members’ potential to positively adjust (or even grow) after a setback such as an innovation project failure, is fundamental. We develop the second-order construct of innovator resilience potential, which consists of six components – self-efficacy, outcome expectancy, optimism, hope, self-esteem, and risk propensity – that are important for project members’ potential of innovative functioning in innovation projects subsequent to a failure. We illustrate our theoretical findings by means of a qualitative study of a terminated large-scale innovation project, and derive implications for research and management

A survey of parental self-efficacy experiences: maximising potential through health visiting and universal parenting support

Aims: To examine parental self-efficacy experiences for users of a parenting support programme and consider the pertinence of self-efficacy theory to health visiting (public health nursing) practice. Background: Commonly, successful parenting training programmes are underpinned by social learning principles and aim to strengthen parental self-efficacy. However, research examining programme effectiveness rarely discusses how self-efficacy outcomes are achieved. Design: A descriptive survey was completed as the first part of a realistic evaluation study examining how a UK parenting support programme worked. Method: The first part of the realistic evaluation involved validating outcome measures (the Parenting Self-Agency Measure and Self-Efficacy for Parenting Tasks Index subscales) and administering a questionnaire survey. The questionnaire was completed by adults accessing a parenting support programme during a 10-month period (n = 168). Data were analysed using descriptive and inferential statistics. Results. Women were the main users of the programme, which included informal drop-in groups as well as more formalised health visiting services and parenting training courses. The Parenting Self-Agency Measure results indicated good general parental self-efficacy; however, the task-specific Self-Efficacy for Parenting Tasks Indexes scales suggested that parents were less self-efficacious in disciplining children. Lower self-efficacy scores correlated with high ratings for ‘feeling tired’, ‘receiving negative comments’ and ‘giving-in to a child’s demands’. Conclusions: Study results indicate that the domain general and task-specific measures provide different, but helpful, insights into parental self-efficacy experiences. By identifying factors associated with the levels of general and task-specific parental self-efficacy, health visitors can gain a fuller appreciation of support needs. Relevance to practice: To maximise potential through parenting support, attention should be given to addressing factors associated with poorer self-efficacy experiences, including parental tiredness. Equally, practice should be directed at developing community environments that offer exposure to positive praise and the opportunity to practice new skills without facing criticism

Goal Orientation and Ability: Interactive Effects on Self-Efficacy, Performance, and Knowledge

This study examined the direct relationship of goal orientation – and the interaction of goal orientation and cognitive ability -- with self-efficacy, performance, and knowledge in a learning context. The current paper argues that whether a particular type of goal orientation is adaptive or not adaptive depends on individuals\u27 cognitive ability. Results indicated that the direct associations of learning and performance orientations were consistent with previous research. Learning orientation was positively related to self-efficacy, performance, and knowledge, while performance orientation was negatively related to only one outcome, performance. The interactions between goal orientation and ability also supported several hypotheses. As expected, learning orientation was generally adaptive for high ability individuals, but had no effect for low ability individuals. In contrast, the effects of performance orientation were contingent on both individuals\u27 level of cognitive ability and the outcome examined. The implications of these results for future research on goal orientation are discussed

The Structured Process Modeling Method (SPMM) : what is the best way for me to construct a process model?

More and more organizations turn to the construction of process models to support strategical and operational tasks. At the same time, reports indicate quality issues for a considerable part of these models, caused by modeling errors. Therefore, the research described in this paper investigates the development of a practical method to determine and train an optimal process modeling strategy that aims to decrease the number of cognitive errors made during modeling. Such cognitive errors originate in inadequate cognitive processing caused by the inherent complexity of constructing process models. The method helps modelers to derive their personal cognitive profile and the related optimal cognitive strategy that minimizes these cognitive failures. The contribution of the research consists of the conceptual method and an automated modeling strategy selection and training instrument. These two artefacts are positively evaluated by a laboratory experiment covering multiple modeling sessions and involving a total of 149 master students at Ghent University