Impersonal trust within the organization: what, how and why?

It has been shown in organizational settings that trust is a crucial factor in different kinds of outcomes, and consequently, building employee trust in the employer is a goal for all kinds of organizations. Although it is recognized that trust in organizations operates on multiple levels, at present there is no clear consensus on the concept of trust within the organization. One can have trust in particular people (i.e. interpersonal trust) or in organized systems (i.e. impersonal trust). Until recently organizational trust has been treated mainly as an interpersonal phenomenon. However, the interpersonal approach is limited. Scholars studying organizational trust have thus far focused only on specific dimensions of impersonal trust, and none have taken a comprehensive approach. The first objective in this study was to develop a construct and a scale encompassing the impersonal element of organizational trust. The second objective was to examine the effects of various HRM practices on the impersonal dimensions of organizational trust. Moreover, although the “black box” model of HRM is widely studied, there have been only a few attempts to unlock the box. Previous studies on the HRM-performance link refer to trust, and this work contributes to the literature in considering trust an impersonal issue in the relationship between HRM, trust, and performance. The third objective was thus to clarify the role of impersonal trust in the relationship between HRM and performance. The study is divided into two parts comprising the Introduction and four separate publications. Each publication addresses a distinct sub-question, whereas the Introduction discusses the overall results in the light of the individual sub-questions. The study makes two major contributions to the research on trust. Firstly, it offers a framework describing the construct of impersonal trust, which to date has not been clearly articulated in the research on organizational trust. Secondly, a comprehensive, psychometrically sound, operationally valid scale for measuring impersonal trust was developed. In addition, the study makes an empirical contribution to the research on strategic HRM. First, it shows that HRM practices affect impersonal trust and the contribution is to consider the HRM-trust link in terms of impersonal organizational trust. It is shown that each of the six HRM practices in focus is connected to impersonal trust. A further contribution lies in unlocking the black box. The study explores the impersonal element of organizational trust and its mediating role between HRM practices and performance. The result is the identification of the path by which HRM contributes to performance through the mediator of impersonal trust. It is shown that the effect on performance of HRM designed specifically to enhance employees’ impersonal trust in the organization is positive.

How Lean Six Sigma and Agile principles optimize ITIL-based processes

Imagine the potential implications of an organization whose business and IT processes are well aligned and are capable of reactively and proactively responding to the external and internal changes. The Philips IT Infrastructure and Operations department (I&O) is undergoing a series of transformation activities to help Philips business keeping up with the changes. I&O would serve a critical function in any business sectors; given that the I&O’s strategy switched from “design, build and run” to “specify, acquire and performance manage”, that function is amplified. In 2013, I&O’s biggest transforming programme I&O Futures engaged multiple interdisciplinary departments and programs on decommissioning legacy processes and restructuring new processes with respect to the Information Technology Internet Library (ITIL), helping I&O to achieve a common infrastructure and operating platform (CI&OP). The author joined I&O Futures in the early 2014 and contributed to the CI&OP release 1, during which a designed model Bing Box and its evaluations were conducted through the lens of six sigma’s structured define-measure-analyze-improve-control (DMAIC) improvement approach. This Bing Box model was intended to firstly combine business and IT principles, namely Lean IT, Agile, ITIL best practices, and Aspect-oriented programming (AOP) into a framework. Secondly, the author implemented the modularized optimization cycles according to the defined framework into Philips’ ITIL-based processes and, subsequently, to enhance business process performance as well as to increase efficiency of the optimization cycles. The unique of this thesis is that the Bing Box model not only provided comprehensive optimization approaches and principles for business process performance, but also integrated and standardized optimization modules for the optimization process itself. The research followed a design research guideline that seek to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts. The Chapter 2 firstly reviewed the current research on Lean Six Sigma, Agile, AOP and ITIL, aiming at identifying the broad conceptual bases for this study. In Chapter 3, we included the process of constructing the Bing Box model. The Chapter 4 described the adoption of Bing Box model: two-implementation case validated by stakeholders through observations and interviews. Chapter 5 contained the concluding remarks, the limitation of this research work and the future research areas. Chapter 6 provided the references used in this thesis.

Mechanistic population Models in Biology: Model Derivation and Application

In general, models of ecological systems can be broadly categorized as ’top-down’ or ’bottom-up’ models, based on the hierarchical level that the model processes are formulated on. The structure of a top-down, also known as phenomenological, population model can be interpreted in terms of population characteristics, but it typically lacks an interpretation on a more basic level. In contrast, bottom-up, also known as mechanistic, population models are derived from assumptions and processes on a more basic level, which allows interpretation of the model parameters in terms of individual behavior. Both approaches, phenomenological and mechanistic modelling, can have their advantages and disadvantages in different situations. However, mechanistically derived models might be better at capturing the properties of the system at hand, and thus give more accurate predictions. In particular, when models are used for evolutionary studies, mechanistic models are more appropriate, since natural selection takes place on the individual level, and in mechanistic models the direct connection between model parameters and individual properties has already been established. The purpose of this thesis is twofold. Firstly, a systematical way to derive mechanistic discrete-time population models is presented. The derivation is based on combining explicitly modelled, continuous processes on the individual level within a reproductive period with a discrete-time maturation process between reproductive periods. Secondly, as an example of how evolutionary studies can be carried out in mechanistic models, the evolution of the timing of reproduction is investigated. Thus, these two lines of research, derivation of mechanistic population models and evolutionary studies, are complementary to each other.