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What makes employees feel well within an organization? The aim of the present chapter is to start from a paradigm that emphasizes human relationality, affectivity, and intersubjective systems, and accordingly focuses on how well-being is emerging from contextual interrelations between employees. Applying this perspective to a qualitative study of nurses in a nursing home, I came to see the work community as a well-being-generating system in which the well-being of individual members is constructed together as an ongoing social accomplishment. In addition, I identified four systemic processes within the work community that greatly influence the well-being-generating capacity of the system.

One potential shortcoming of the emerging gig economy is the reduced ability of gig workers to meet their social and relatedness needs through their work. Using self-determination theory (SDT) as a theoretical foundation, we examine how gig work platforms currently use their technology for managing relationships with gig workers. We develop a framework consisting of four main attributes: relationship content, relationship duration, relational eHRM function, and social eHRM type. We then analyze the eHRM resources offered on 20 gig work platforms, evaluating the extent to which they are aligned with the framework. All platforms analyzed included some relational eHRM resources. Relationship content tends to be focused on tasks or career development, and relationship duration tends to be short. All three of the relational eHRM types (communication, training and development, and performance management) are currently found on gig platforms. Many of the eHRM resources are available to an open audience, but some of the resources with the potentially highest value are kept internal and are available only to people in particular roles. We discuss practical implications and directions for future research on this topic, suggesting that eHRM systems more focused on relational functions could be used to help gig workers meet their relatedness needs.

This study aims at rereading public governance (PG) and public value management (PVM) in the light of viable systems approach (VSA). Starting from the common points and the dissimilarities between the two theories, an integrated framework for pinpointing the key drivers leading to the emersion of public value co-creation in a public system conception of governance is elaborated. An overview on the emersion of PVM and PG is conducted in order to identify the main features of the new mindset. Then, VSA’s assumptions also are analyzed (with particular focus on their managerial implications) and then subdivided into four macro-areas.

The combination of the two theories allows recognition of four levers (with relative postulates) for fostering public value co-creation: (1) strategic selection of actors; (2) establishment of system and relational boundaries; (3) pursuit of the fit strategy-tactics; (4) system governance diffusion. From a theoretical point of view, the study provides suggestions for the creation of a public system theory of governance. Regarding managerial standpoint, revealing the drivers for public value co-creation can aid managers to better elaborate strategies for stimulating actor’s engagement in order to challenge complexity and user’s demands variability.

This paper demonstrates an approach to address the unique control and security concerns in database environments by using audit modules embedded into application programs. Embedded audit modules (EAM) are sections of code built into application programs that capture information of audit significance on a continuous basis. The implementation of EAMs is presented using INGRESS a relational database management system. An interface which enables the auditor to access audit-related information stored in the database is also presented. The use of EAMs as an audit tool for compliance and substantive testing is discussed. Advantages and disadvantages of employing EAMs in database environments and future directions in this line of research are discussed.

Choice under risk has a large stochastic (unpredictable) component. This chapter examines five stochastic models for binary discrete choice under risk and how they combine with “structural” theories of choice under risk. Stochastic models are substantive theoretical hypotheses that are frequently testable in and of themselves, and also identifying restrictions for hypothesis tests, estimation and prediction. Econometric comparisons suggest that for the purpose of prediction (as opposed to explanation), choices of stochastic models may be far more consequential than choices of structures such as expected utility or rank-dependent utility.

In this book we consider the foundation of ethics to be the moral law. Contrarily, in mainstream terminology ethics is defined as values manifesting human behavior in congruence with certain civil conduct that are commonly agreed upon by society at large (Spencer, 1978). In reference to the social preference basis of ethics and morality we can adopt formalization by using two different approaches. One approach is to consider linear aggregation of preferences. The other is to treat morality and ethics within complex aggregation types.¹