Developing an Output‐Oriented Super Slacks‐Based Measure Model with an Application to Third‐Party Reverse Logistics Providers

Outsourcing is an increasingly significant topic pursued via corporations seeking enhanced efficiency. Third‐party reverse logistics involves the employ of external firms to carry out some or all of the firm's logistics activities. Output‐oriented super slacks‐based measure (SBM) model is one of the models in data envelopment analysis (DEA). In many real‐world applications, data are often stochastic. A successful approach to address uncertainty in data is to replace deterministic data via random variables, leading to chance‐constrained DEA. In this paper, a chance‐constrained output‐oriented super SBM model is developed and also its deterministic equivalent, which is a nonlinear program, is derived. Furthermore, it is shown that the deterministic equivalent of the stochastic output‐oriented super SBM model can be converted into a quadratic program. In addition, sensitivity analysis of the stochastic output‐oriented super SBM model is discussed with respect to changes on parameters. Finally, a numerical example demonstrates the application of the proposed model. Copyright © 2011 John Wiley & Sons, Ltd.     

Social Achievement Goals and Social Adjustment in Adolescence: A Multiple‐Goal Perspective

Adolescents approach social situations with different social achievement goals (i.e., social development goals, demonstration‐approach goals, and demonstration‐avoid goals). Applying a latent profile analysis (LPA), a person‐centered approach, this study identified four groups of adolescents with distinct social goal profiles: approach‐oriented, undifferentiated high, demonstration‐oriented, and undifferentiated low. Observed differences in various indicators of social adjustment, including social anxiety, friendship quality, prosocial behavior as well as aggressive behavior, indicated that the approach‐oriented and undifferentiated high profiles showed most adaptive outcomes, whereas the demonstration‐oriented and undifferentiated low profiles showed maladaptive patterns of social outcomes. Profiles with high levels of social development goals showed the most adaptive social outcomes regardless of the level of demonstration‐oriented goals (i.e., demonstration‐approach and demonstration‐avoid goals). These findings suggest that focusing on high‐quality relationships and developing social competence leads to adequately contending with social challenges, and it provides protection against the negative effects of demonstration‐oriented social goals.     

“A definite feel‐it moment”: Embodiment,externalisation and emotion during chair‐work in compassion‐focused therapy

Chair‐work is an experiential method used within compassion‐focused therapy (CFT) to apply compassion to various aspects of the self. This is the first study of CFT chair‐work and is focused on clients' lived experiences of a chair‐work intervention for self‐criticism. Twelve participants with depression were interviewed following the chair‐work intervention and the resulting data were examined using interpretative phenomenological analysis. Three superordinate themes were identified: “embodiment and enactment,” “externalising the self in physical form” and “emotional intensity.” The findings suggest the importance of accessing and expressing various emotions connected with self‐criticism, whilst highlighting the potential for client distress and avoidance during the intervention. The role of embodying, enacting and physically situating aspects of the self in different chairs is also suggested to be an important mechanism of change in CFT chair‐work. The findings are discussed in terms of clinical implications, emphasising how core CFT concepts and practices are facilitated by the chair‐work process.     

Influence of achievement goals and self‐efficacy on students' self‐regulation and performance

It is widely admitted that low self‐efficacy has a detrimental impact on the functioning and performance of a person mainly concerned with performance goals but has no impact when a person is mainly concerned with learning goals (Dweck, 1986 ). However, results from both correlational and experimental studies are divergent. Since these studies examined very few indicators of participants' cognitive functioning, they may have failed to detect those aspects that could be more vulnerable to a negative impact of the combination of performance goals and low self‐efficacy. Another concern is the lack of most studies to clearly distinguish the type of performance goal examined, particularly the performance‐avoidance versus the performance‐approach goal. In the current study, we decided to focus on performance‐approach and learning goals in order to examine how self‐efficacy intervenes in their effects on participants' self‐regulation and performance on a cognitive task. One hundred and forty participants (85 females and 55 males) were examined. They were randomly assigned either to the learning or the performance‐approach goals condition. In each condition, half of the participants received feedback aimed at inducing either high or low self‐efficacy beliefs with regard to the task prior to executing it aloud. Examination of participants' verbal reports, direct observation of some of their behaviours while solving the task, and responses to a retrospective questionnaire allowed the assessment of several indicators of their self‐regulation and performance. As already reported by many studies, self‐efficacy influenced various aspects of participants' self‐regulation and performance. However, contrary to Dweck's hypothesis ( 1986 ), when interaction effects between self‐efficacy and goals were observed, they always involved learning instead of performance‐approach goals. Findings of this study suggest that the nature of the goal might not matter as much as its personal significance or value.     

Memory for goals: an activation‐based model

Goal‐directed cognition is often discussed in terms of specialized memory structures like the “goal stack.” The goal‐activation model presented here analyzes goal‐directed cognition in terms of the general memory constructs of activation and associative priming. The model embodies three predictive constraints: (1) the interference level, which arises from residual memory for old goals; (1) the strengthening constraint, which makes predictions about time to encode a new goal; and (3) the priming constraint, which makes predictions about the role of cues in retrieving pending goals. These constraints are formulated algebraically and tested through simulation of latency and error data from the Tower of Hanoi, a means‐ends puzzle that depends heavily on suspension and resumption of goals. Implications of the model for understanding intention superiority, postcompletion error, and effects of task interruption are discussed.     

Origins,uses of,and relations between goal programming and data envelopment analysis

Origins and uses of ‘goal programming’ and ‘data envelopment analysis’ (DEA) are identified and discussed. The purpose of this paper is not only to review some of the history of these developments, but also to show some of their uses (e.g. in statistical regression formulations) in order to suggest paths for possible further developments. Turning to how the two types of models relate to each other, the ‘additive model’ of DEA is shown to have the same structure as a goal programming model in which only ‘one‐sided deviations’ are permitted. A way for formally relating the two to each other is then provided. However, the objectives are differently oriented because goal programming is directed to future performances as part of the planning function whereas DEA is directed to evaluating past performances as part of the control function of management. Other possible ways of comparing and combining the two approaches are also noted including statistical regressions that utilize goal programming to ensure that the resulting estimates satisfy the multi‐criteria conditions that are often encountered in managerial applications. Both goal programming and DEA originated in actual applications that were successfully addressed. The research was then generalized and published. This leads to what is referred to as an ‘applications‐driven theory’ strategy for research that is also described in this paper. Copyright © 2006 John Wiley & Sons, Ltd.     

An Approach to Multi‐Criteria Decision Problems Under Severe Uncertainty

Solving complex decision problems is a demanding task; it requires determining and evaluating the consequences of decision alternatives. To this end, uncertain factors that can only partly be influenced by the decision makers, and their interdependencies need to be considered. Scenarios focus on this part of the decision problem; they enable a systematic exploration of a multitude of possible future developments that are relevant for the decision including external events and decisions made. Scenarios are particularly useful when the problem is pervaded by severe uncertainties that cannot be quantified. For the evaluation of alternatives, multiple objectives and the potentially diverging preferences of the involved actors need to be respected. Multi‐criteria decision analysis aims at structuring the problem, evaluating the alternatives and supporting decision makers pursuing multiple goals. We propose an approach integrating scenarios and multi‐criteria decision analysis that focuses on the robustness of alternatives in complex, dynamic, uncertain and time‐bound situations. In this integrated framework, the scenarios provide the basis for evaluating a set of alternatives. Ideally, the set of scenarios considered captures all possible future developments. To appropriately explore this set, formal or analytical approaches to scenario construction generate a large number of scenarios. This challenges the decision makers' information‐processing capacity. To support them in managing the richness of information, a two‐fold approach that uses selection and aggregation is presented. By using a selection method, the scenarios that are deemed most relevant are identified, and their evaluations are presented in detail to decision makers. This approach is complemented by an aggregation of scenario evaluations on the basis of the decision makers' preferences. We present two approaches to facilitate the preference elicitation process. Copyright © 2013 John Wiley & Sons, Ltd.     

The influence of mastery‐avoidance goals on performance improvement

Two experiments focused on examining the influence of mastery‐avoidance goals on performance improvement, and more specifically, on mastery‐avoidance goals grounded in an intrapersonal standard. That is, herein, mastery‐avoidance goals entail striving to avoid doing worse than one has done before. Both experiments demonstrated that in a multiple‐trial context, mastery‐avoidance goals are deleterious for performance improvement relative to mastery‐approach, performance‐approach, and performance‐avoidance goals, and a no goal baseline. The findings were shown to be independent of participants' perceptions of goal difficulty, and were consistent not only across methodology but also across type of participant (undergraduates versus individuals in the workforce), and type and length of achievement task (a verbal skills task versus an ecologically valid managerial competencies exercise). Copyright © 2009 John Wiley & Sons, Ltd.     

A Monte Carlo evaluation of masked visual analysis in response‐guided versus fixed‐criteria multiple‐baseline designs

We developed masked visual analysis (MVA) as a structured complement to traditional visual analysis. The purpose of the present investigation was to compare the effects of computer‐simulated MVA of a four‐case multiple‐baseline (MB) design in which the phase lengths are determined by an ongoing visual analysis (i.e., response‐guided) versus those in which the phase lengths are established a priori (i.e., fixed criteria). We observed an acceptably low probability (less than .05) of false detection of treatment effects. The probability of correctly detecting a true effect frequently exceeded .80 and was higher when: (a) the masked visual analyst extended phases based on an ongoing visual analysis, (b) the effects were larger, (c) the effects were more immediate and abrupt, and (d) the effects of random and extraneous error factors were simpler. Our findings indicate that MVA is a valuable combined methodological and data‐analysis tool for single‐case intervention researchers.     

Church‐Based Social Relationships and Change in Self‐Esteem Over Time

This study has two goals. The first goal is to see if church‐based social relationships are associated with change in self‐esteem. Emotional support from fellow church members and having a close personal relationship with God serve as measures of church‐based social ties. The second goal is to see whether emotional support from fellow church members is more strongly associated with self‐esteem than emotional support from secular social network members. The data come from an ongoing nationwide survey of older adults. The findings reveal that having a close personal relationship with God is associated with a stronger sense of self‐esteem at the baseline and follow‐up interviews. In contrast, emotional support from fellow church members was not associated with self‐esteem at either point in time. However, emotional support from secular social network members is related to self‐esteem at the baseline but not the follow‐up interview.     

Performance‐approach and performance‐avoidance classroom goals and the adoption of personal achievement goals

Background. Students’ perceptions of classroom goals influence their adoption of personal goals. To assess different forms of classroom goals, recent studies have favoured an overall measure of performance classroom goals, compared to a two‐dimensional assessment of performance‐approach and performance‐avoidance classroom goals (PAVCG). Aims. This paper considered the relationship between students’ perceptions of classroom goals and their endorsement of personal achievement goals. We proposed that three (instead of only two) classroom goals need to be distinguished. We aimed to provide evidence for this hypothesis by confirmatory factor analysis (CFA) and also by divergent associations between the respective classroom goal and students’ personal goal endorsement. Sample. A total of 871 (474 female) 10th grade students from several German high schools participated in this study. Method. Students responded to items assessing their perception of mastery, performance‐approach, and performance‐avoidance goals in the classroom. Additionally, the students reported how much they personally pursue mastery, performance‐approach, and performance‐avoidance goals. All items referred to German as a specific school subject. Results. A CFA yielded empirical support for the proposed distinction of three (instead of only two) different kinds of classroom goals. Moreover, in hierarchical linear modelling (HLM) analyses all three classroom goals showed unique associations with students’ personal goal adoption. Conclusions. The findings emphasized the need to distinguish performance‐approach and PAVCG. Furthermore, our results suggest that multiple classroom goals have interactive effects on students’ personal achievement strivings.     

Constrained k‐means on cluster proportion and distances among clusters for longitudinal data analysis

Clustering individuals by measures of similarity or dissimilarity at trajectories of changes in longitudinal data enables determination of typical patterns of development and growth. The present research proposes a new constrained k‐means method with lower bound constraints on cluster proportions and distances among clusters at focused variables and time points to fulfill various needs in clustering longitudinal data. The method assumes a large number of clusters at the onset and iteratively deletes and combines clusters according to these constraints. An additional property of the proposed constrained k‐means includes direct estimation of the unknown number of clusters. Simulation results clearly show the usefulness of the method for extracting clusters in plausible, real‐life analysis including non‐normality within clusters, and the proposed algorithm works well and convergence of the estimates is satisfactory. An actual example using Japanese longitudinal data regarding sleep habits and mental health is presented to verify the utility of the proposed constrained k‐means.     

Why Citizen Kane was unhappy: Motive‐Goal Incongruence

Why do some people benefit more from successfully pursuing their goals than others? Motivational psychology has recently come up with an answer to this question: People differ in the extent to which their goals are aligned with their implicit motives. That is, on a conscious level, people may strive for, for example, achievement goals although on an unconscious level their implicit achievement motive is low. In such a case of motive–goal incongruence, pursuit and realization of achievement goals are associated with little or no well‐being. On the other hand, for people whose conscious goals and implicit motives are congruent, goal progress is strongly associated with well‐being. Legendary movie character Charles Foster Kane from Citizen Kane illustrates this dilemma: Constantly pursuing and realizing power goals, he does not succeed in satisfying his affiliation‐intimacy motive – and finally dies an unhappy man. The present article reviews what is known about the causes and effects of motive–goal congruence. In doing so, open questions are raised that future research ought to address.     

Parents‐in‐law's topic avoidance: Understanding the role of interaction goals and relational characteristics

Utilizing dual logic from a multiple goals and relational turbulence theory, this study examined parents‐in‐law's interaction goals for topic avoidance with their children‐in‐law. Data from 159 parents‐in‐law revealed that multiple and conflicting goals were associated with parents‐in‐law's topic avoidance. Furthermore, relational parameters (i.e., relational uncertainty and partner influence) were associated with the goals in‐laws pursued. Results augment theorizing on a multiple goals perspective, relational turbulence, and topic avoidance, as well as theoretically ground the study of in‐law communication.     

Motivation and self‐regulation: The role of want‐to motivation in the processes underlying self‐regulation and self‐control

Research on self‐regulation has largely focused on the idea of effortful self‐control, which assumes that exerting willpower will lead to greater success. However, in recent years, research has challenged this perspective and instead proposes that effortless self‐regulation is more adaptive for long‐term goal pursuit. Taking into consideration the burgeoning literature on effortless self‐regulation, here we propose that motivation—or the reasons why we pursue our goals—plays an integral role in this process. The objective of the present paper is to highlight how motivation can play a role in how self‐regulation unfolds. Specifically, we propose that pursuing goals because you want‐to (vs. have‐to) is associated with better goal attainment as a function of experiencing less temptations and obstacles. While the reason why want‐to motivation relates to experiencing fewer obstacles has yet to be thoroughly explored, here we propose some potential mechanisms drawing from recent research on self‐regulation. We also provide recommendations for future research, highlighting the importance of considering motivation in the study of self‐regulatory processes.     

Student self‐efficacy narratives: A collaborative co‐constructive method

This article outlines the challenges faced by mature‐aged students transitioning to higher education and presents a method of assisting these students to reflect on ways in which they have overcome past difficulties in terms of their self‐efficacy. For the purpose of the study, self‐efficacy was conceptualised as an individual initiating action to engage in a given task, applying effort to the task, and persisting in the face of obstacles to successfully complete the task. The main aim of the article is to explicate a research method that involves a cyclical and iterative process using qualitative interview data from the population of interest, namely four female mature‐aged students starting an undergraduate degree. The method is highly collaborative, with narratives co‐constructed by the researcher and participants as they are guided in reflecting on those experiences that constitute a sense of self‐efficacy, in narrative and by narrative. The article briefly reports on a research study to illustrate the method and lists the main themes emerging from the narratives. The article concludes with an evaluation by the participants of being involved in the research process, with positive implications for the utility of the method with mature‐aged students and possibly other cohorts.     

Task‐ and self‐related pathways to deep learning: The mediating role of achievement goals,classroom attentiveness,and group participation

Background The expectancy‐value and achievement goal theories are arguably the two most dominant theories of achievement motivation in the contemporary literature. However, very few studies have examined how the constructs derived from both theories are related to deep learning. Moreover, although there is evidence demonstrating the links between achievement goals and deep learning, little research has examined the mediating processes involved. Aims The aims of this research were to: (a) investigate the role of task‐ and self‐related beliefs (task value and self‐efficacy) as well as achievement goals in predicting deep learning in mathematics and (b) examine how classroom attentiveness and group participation mediated the relations between achievement goals and deep learning. Sample The sample comprised 1,476 Grade‐9 students from 39 schools in Singapore. Methods Students' self‐efficacy, task value, achievement goals, classroom attentiveness, group participation, and deep learning in mathematics were assessed by a self‐reported questionnaire administered on‐line. Structural equation modelling was performed to test the hypothesized model linking these variables. Results and conclusions Task value was predictive of task‐related achievement goals whereas self‐efficacy was predictive of task‐approach, performance‐approach, and performance‐avoidance goals. Achievement goals were found to fully mediate the relations between task value and self‐efficacy on the one hand, and classroom attentiveness, group participation, and deep learning on the other. Classroom attentiveness and group participation partially mediated the relations between achievement goal adoption and deep learning. The findings suggest that (a) task‐ and self‐related pathways are two possible routes through which students could be motivated to learn and (b) like task‐approach goals, performance‐approach goals could lead to adaptive processes and outcomes.     

Children’s coding of human action: cognitive factors influencing imitaation in 3‐year‐old

We used imitation as a tool for investigating how young children code action. The study was designed to examine the errors children make in re‐enacting manual gestures they see. Thirty‐two 3‐year‐old children served as subjects. Each child was shown 24 gestures, generated by systematically crossing four factors: visual monitoring, spatial endpoint, movement path, and number of hands. The results showed no difference as a function of whether the children could visually monitor their own responses. Interestingly, children made significantly more errors when the adult's action terminated on a body part than they did when the same movement terminated near the body part. There were also significantly more errors when the demonstrated act involved crossing midline than when it did not, and more errors when it involved one hand rather than two hands. Our hypothesis is that human acts are coded in terms of goals. The goals are hierarchically organized, and because young children have difficulty simultaneously integrating multiple goals into one act they often re‐enact the goals that are ranked higher, which leads to the errors observed. We argue that imitation is an active reconstruction of perceived events and taps cognitive processing. We suggest that the goal‐based imitation in 3‐year‐olds is a natural developmental outgrowth of the perceptual–motor mapping and goal‐directed coding of human acts found in infancy.