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Cognitive evaluation theory (CET; Deci, 1975), SDT's first mini-theory, was built from research on the dynamic interplay between external events (e.g., rewards, choice) and people's task interest or enjoyment – that is, intrinsic motivation (IM). At the time, this research was quite controversial, as operant theory (Skinner, 1971) had dominated the psychological landscape. The central assumption of operant theory was that reinforcement contingencies in the environment control behavior, which precluded the existence of inherently satisfying activities performed for non-separable outcomes. During this time, Deci proposed that people – by nature – possess intrinsic motivation (IM), which can manifest as engagement in curiosity-based behaviors, discovery of new perspectives, and seeking out optimal challenges (see also Harlow, 1953; White, 1959). IM thus represents a manifestation of the organismic growth tendency and is readily observed in infants' and toddlers' exploratory behavior and play. Operationally, an intrinsically motivated activity is performed for its own sake – that is, the behavior is experienced as inherently satisfying. From an attributional perspective (deCharms, 1968), such behaviors have an internal perceived locus of causality, as people perceive their behavior as emanating from their sense of self, rather than from experiences of control or coercion.

Swarm controlled emergence is proposed as an approach to control emergent effects in (artificial) swarms. The method involves the introduction of specific control agents into the swarm systems. Control agents behave similar to the normal agents and do not directly influence the behavior of the normal agents. The specific design of the control agents depends on the particular swarm system considered. The aim of this paper is to apply the method to ant clustering. Ant clustering, as an emergent effect, can be observed in nature and has inspired the design of several technical systems, e.g. moving robots, and clustering algorithms.

Different types of control agents for that ant clustering model are designed by introducing slight changes to the behavioural rules of the normal agents. The clustering behaviour of the resulting swarms is investigated by extensive simulation studies.

It is shown that complex behavior can emerge in systems with two types of agents (normal agents and control agents). For a particular behavior of the control agents, an interesting swarm size dependent effect was found. The behaviour prevents clustering when the number of control agents is large, but leads to stronger clustering when the number of control agents is relatively small.

Although swarm controlled emergence is a general approach, in the experiments of this paper the authors concentrate mainly on ant clustering. It remains for future research to investigate the application of the method in other swarm systems. Swarm controlled emergence might be applied to control emergent effects in computing systems that consist of many autonomous components which make decentralized decisions based on local information.

The particular finding, that certain behaviours of control agents can lead to stronger clustering, can help to design improved clustering algorithms by using heterogeneous swarms of agents.

In general, the control of (unwanted) emergent effects in artificial systems is an important problem. However, to date not much research has been done on this topic. This paper proposes a new approach and opens a different research direction towards future control principles for self‐organized systems that consist of a large number of autonomous components.

This study aims to extend the understanding of the role of authentic leadership in encouraging subordinates to become internal whistleblowers. The current study aims to seek whether authentic leadership can encourage internal whistleblowing (IW) through employee controlled motivation for IW and moral courage.

The samples of this study were 221 employees working at 26 government organizations in one of the provinces located on Sumatera Island, Indonesia. Based on the cross-sectional survey method, this study used partial least square-structural equation modeling analysis with SmartPLS 3 software to test the hypotheses.

The result revealed that employee controlled motivation for whistleblowing and moral courage significantly mediates the effect of authentic leadership toward IW. This result also indicates that the two mediating variables in this study fully mediate the effect of authentic leadership toward IW.

This study highlights the critical role played by leaders in encouraging subordinates to IW in the workplace. The role of an authentic leader will have positively affected enhancing IW by employees, which has significant implications for the organization that particularly in manage organization wrongdoing in terms of eliminating or preventing unethical practice.

Theoretically, the current study extends the understanding of the mechanism underlying the relationship between authentic leadership and IW. This study proposes employee controlled motivation for IW and moral courage as the new mediator variables to explain how and why authentic leadership may encourage IW. Empirically, the current study chooses the Indonesian Government as a context that rarely conducts in the prior study.

This study aims to explore and empirically examine an integrative model of the customer revenge process by linking two well-established theories of self-determination theory (SDT) and appraisal theory.

A survey of 901 respondents, followed by a post-hoc survey of 712 individuals, was conducted to examine the autonomous versus controlled orientations for revenge motivation.

The results show that customers’ orientation of motivation (OM) can regulate their revenge behavior (direct versus indirect) in case of service failures. Specifically, the interaction of OM components (i.e. autonomy, relatedness and competence) can play a significant role in the relationship between revenge predictors and revenge behavior. Implications for research and practice are discussed.

This paper offers a novel conceptual framework to explain the moderating effects of OM on the relationship between revenge predictors and revenge behavior. This study extends the application of SDT to the context of customer anger and revenge.

We examine how input- (vs. output-) based performance evaluation and incentive intensity impact employees’ autonomous motivation, thereby influence their proactive work behaviors.

We collected survey responses from 309 employees of different firms. Multi-group Structural Equation Modeling analyses were used to analyze the data.

Input-based evaluation had a positive effect on autonomous motivation and proactive work behaviors when task uncertainty was high, but a negative effect when it was low. Autonomous motivation had a positive effect on proactive work behaviors.

Our results on the moderating effect of task uncertainty provide insights into inconsistencies in earlier studies. Moreover, applying self-determination theory of motivation to incentive research can provide some insights into why sometimes, incentives can negatively affect performance.

The study of proactive work behaviors is important because despite their necessity in the fast-changing business environment, they are relatively unexplored in the incentive literature. Proactivity is especially important for tasks that are high in uncertainty because the exact tasks to achieve those goals are hard to specify.

We investigate the effect of performance management system on proactive work behaviors, mediated by autonomous motivation and moderated by task uncertainty.

Methodological pluralism in consumer research is usually confined to post‐positivist interpretive approaches. Argues, however, that a positivistic stance, radical behaviourism, can enrich epistemological debate among researchers with the recognition of radical behaviourism′s ultimate reliance on interpretation as well as science. Although radical behaviourist explanation was initially founded on Machian positivism, its account of complex social behaviours such as purchase and consumption is necessarily interpretive, inviting comparison with the hermeneutical approaches currently emerging in consumer research. Radical behaviourist interpretation attributes meaning to behaviour by identifying its environmental determinants, especially the learning history of the individual in relation to the consequences similar prior behaviour has effected. The nature of such interpretation is demonstrated for purchase and consumption responses by means of a critique of radical behaviourism as applied to complex human activity. In the process, develops and applies a framework for radical behaviourist interpretation of purchase and consumption to four operant equifinality classes of consumer behaviour: accomplishment, pleasure, accumulation and maintenance. Some epistemological implications of this framework, the behavioural perspective model (BPM) of purchase and consumption, are discussed in the context of the relativity and incommensurability of research paradigms. Finally, evaluates the interpretive approach, particularly in terms of its relevance to the nature and understanding of managerial marketing.

Deadlock is a rather undesirable phenomenon and must be well solved in flexible manufacturing systems (FMS). This paper aims to propose a general iterative deadlock control method for a class of generalized Petri nets (GPN), namely, G-systems, which can model an FMS with assembly and disassembly operations of multiple resource acquisition. When given an uncontrolled G-system prone to deadlocks, the work focuses on the synthesis of a near-optimal, non-blocking supervisor based on reachability graph (RG) analysis.

The concept of a global idle place (GIP) for an original uncontrolled G-system is presented. To simplify the RG computation of an uncontrolled G-system, a GIP is added temporarily to the net model during monitor computation steps. Starting with one token and then by gradually increasing the number of tokens in the GIP at each iteration step, the related net system is obtained. The minimal-covered-set of all bad markings of the related net system suffering from deadlock can be identified and then removed by additional monitors through an established place-invariant control method. Consequently, all related systems are live, and the GIP is finally removed when the non-blockingness of the controlled system is achieved. Meanwhile, the redundancy of monitors is also checked.

A typical G-system example is provided to demonstrate the applicability and effectiveness of the proposed method. Experiments show that the proposed method is easy to use and provides very high behavioral permissiveness for G-system. Generally, it can achieve an optimal or a near-optimal solution of the non-blocking supervisor.

In this work, the concept of GIP for G-systems is presented for synthesis non-blocking supervisors based on RG analysis. By using GIP, an effective deadlock control method is proposed. Generally, the proposed method can achieve an optimal or a near-optimal, non-blocking supervisor for an uncontrolled G-system prone to deadlocks.

This article attempts to explore the theoretical model and structural dimensions of sustainable consumer behaviour to develop a “sustainable consumer behaviour scale” for sustainable electronic products. Further, this study has tried to elaborate sustainable consumer behaviour by considering the complete consumption cycle which includes purchase, usage and disposal of the sustainable electronic products.

The theory of planned behaviour (TPB) has been employed to understand the multidimensional nature of sustainable consumer behaviour with the help of qualitative and quantitative methods. With the help of a pilot study followed by a main study, a sustainable consumer behaviour scale for sustainable electronic products has been tested and validated for its factor study, reliability, validity and model fit, etc. Moreover, the influence of demographic variables has also been examined with the help of multi-group analysis.

This study highlights that the perceived control behaviour and subjective norms are the major factors that influence sustainable consumer behaviour. Moreover, the results also indicate that female consumers, mid income consumers, young consumers (age below 30) and consumers who have studied up to senior secondary level are more sustainable.

The results can be used by policymakers and managers to identify and target particular subjective norms and factors impacting perceived control behaviour along with a specific set of demographics to increase sustainability amongst consumers and businesses. The results of the current study can help in increasing the focus of the academic research towards sustainable consumer behaviour. It will also encourage firms to include sustainable electronic products in their product line.

To the best of authors' knowledge, the current article is the first empirical study to develop a sustainable consumer behaviour scale by including all the different stages of the consumption cycle using TPB for sustainable electronic products. Although multiple efforts have been made by researchers to analyse sustainable consumer behaviour, there is a scarcity in literature in which research has been done to analyse sustainable consumer behaviour by considering the whole consumption cycle (purchase, usage and disposal).

In this paper, I synthesize the prior psychology literature on ego depletion and apply this literature to an auditing setting. Ego depletion refers to a reduced desire or ability to use self-control in task performance due to using self-control on prior tasks. I focus on the likely causes and consequences of depletion in an auditing setting, as well as means of mitigating depletion and recovering self-control resources. While ego depletion theory is prevalent in the psychology literature, little is known about whether or how ego depletion affects professionals on meaningful task performance. As a result, this synthesis is aimed at stimulating future ego depletion research in accounting, and specifically auditing, by surveying existing literature and applying this literature to an auditing setting. Further, I develop 13 questions for future research to investigate. My synthesis reveals that ego depletion likely has a pervasive effect in an auditing setting, and can hinder auditors’ judgment and decision-making (JDM) quality. Therefore, this synthesis helps to provide a greater understanding of the impact of auditing tasks on individuals, and refines both auditor JDM and ego depletion theories.

Most automatic devices designed to control even moderately complex systems are based on feedback. The concept of feedback control is so intuitively straightforward that many people assume it must be quite simple to combine such simple mechanisms to create relatively sophisticated automatic control systems. However, the reality is that to design a truly effective automatic controller is often the greatest challenge an engineer may face. A major cause of the difficulty is time lag, which means that the system is constantly trying to correct for conditions that existed earlier. Conventional control theory seems to work best when attempting to design control devices for a process that can be well approximated by a model with linear and otherwise straightforward relationships between just a few variables. However, for complex and non‐linear processes, where it is difficult (if not impossible) to develop a mathematical model for the system to be controlled, conventional control fails and the control is left to the human operator. Examples of such systems appear in process control industries such as cement industry, water treatment processes … etc. In addition, conventionally designed automatic control devices often have relatively narrow performance bands, as many types of real world processes and systems can be well approximated by linear models when variables are limited to narrow ranges. If a variable goes beyond this range then the system will become unstable and the control device may no longer be able to make appropriate adjustments. Until recently, certain types of processes were still controlled by human operators simply because it proved to be difficult to design an automatic control device by the conventional methods. This was not due to the lack of sensors or any other hardware problem, but simply because of non‐linearities or other complexities in the process.