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Drawing from interviews with individuals on parole, this chapter explores experiences of and responses to penal misrecognition. It documents that participants feel fundamentally misrecognised by the parole agency and penal state. They believe that the penal state views them as dangerous, defective and incapable of virtuous self-governance. Yet this is not how they perceive themselves. This leads to a delicate balancing act where participants refuse certain aspects of the penal state while accommodating others. On the one hand, individuals refuse parole’s misrecognition of them and reject the state’s authority to define who they are. On the other hand, they largely acquiesce to parole’s authority to supervise and regulate conduct. Turning to the concept of refusal highlights that individuals do not just attempt to resist penal power; rather, they flatly reject the state’s epistemic constructions. They do this by turning away from parole and by turning towards other forms of sociality beyond the penal state. This creates material and affective distance from parole and opens up space for self-recognition and for receiving positive recognition from others. In this way, individuals seek to minimise, move away from and/or bypass a penal intervention that is ostensibly designed to assist and support them.

An organization’s competitive advantage can be strengthened if they are able to identify highly creative individuals. In fact, organizational success in the 21st century may depend upon a firm’s ability to identify highly creative individuals who are able to develop novel and useful ideas, which are the outcome of creativity. The authors posit that Information Technology (IT) plays a significant role in creativity.

Applying the componential view of creativity, the authors propose the theoretically-derived concept of Individual IT Creativity (IITC). Utilizing a 5-phase methodology, the authors provide a theoretically-derived and rigorously-validated measure of IITC.

This study demonstrates that IITC is manifested in individuals who (1) possess IT expertise; (2) are motivated by IT tasks and (3) exhibit IT creativity-relevant processes. The authors then develop a scale to measure IITC and examine IITC within a broader nomological network.

This study facilitates the investigation of new streams of research into IITC, including new possible outcomes in addition to IT acceptance.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

This study investigated why employees' cyberloafing behavior is affected by their coworkers' cyberloafing behavior. By integrating social learning theory and deterrence theory, the authors developed a model to explain the role of employees' perceived certainty of formal and informal sanctions in understanding the effect of coworkers' cyberloafing behavior on employees' cyberloafing behavior.

The authors conducted a survey that involved a two-stage data collection process (including 293 respondents) to test our developed model. Mplus 7.0 was used to analyze the data.

The results revealed that employees' cyberloafing was positively affected by their coworkers' cyberloafing both directly and indirectly. The indirect effect of coworkers' cyberloafing on employees' cyberloafing was mediated by the employees' perceived certainty of formal and informal sanctions on cyberloafing. Employees' perceived certainty of formal and informal sanctions were found to mediate the relationship both separately (each type of sanctions mediates the relationship individually) and in combination (the two types of sanctions form a serial mediation effect).

The study reveals an important mechanism – employees’ perceived certainty of formal and informal sanctions – that underlies the relationship between coworkers' cyberloafing and employees' cyberloafing, thus, contributing to the cyberloafing literature. It also demonstrates the importance of negative reinforcement (perceived sanctions) in the social learning process, which contributes to the literature on social learning theory because previous studies have primarily focused on the role of positive reinforcement. Lastly, the study reveals a positive relationship between employees' perceived certainty of formal sanctions and informal sanctions, which has important implications for deterrence theory.