Constructing a psycho-social model for team cohesion at a financial institution

The purpose of the study was to construct a psycho-social model for team cohesion at a financial institution. The financial institution had been in existence for 127 years, and had faced significant challenges throughout its history of acquisitions and mergers to establish working teams that would give it a competitive edge in global financial markets. The research objective was to develop a psycho-social model for team cohesion by investigating the interrelationships and overall relationships amongst the independent constructs (self-worth, personality preferences and conflict resolution styles) and the relevant outcome (team cohesion). Furthermore, the study also scientifically tested the possible moderating effect of the employees’ socio-demographic characteristics (race, gender, age, level of education, job level and tenure) on the fostering of team cohesiveness. A quantitative cross-sectional survey design approach was selected and applied to a simple probability sample (N = 463) using standardised, valid and reliable measuring instruments. The population consisted of permanent employees, and the results revealed significant relationships between the construct variables. The canonical correlation indicated a significant overall relationship between the contingencies of self-worth domains, personality preferences and conflict resolution styles, and the team cohesion-related dispositions of cohesiveness and engaged. The structured equation modelling indicated a good fit of the data between the individuals’ contingencies of self-worth domains (family support, God’s love, virtues, competition, work competence, physical appearance and pleasing others), the accommodating conflict resolution style, an extraversion personality preference, and team cohesion. Hierarchical moderated regression showed that race, age, educational level and job tenure significantly moderated the relationship between the participants’ psycho-social attributes and team cohesion. Tests for significant mean differences revealed significant differences in terms of the socio-biographical variables. On a theoretical level, the study deepened understanding of the antecedent constructs (self-worth, personality preferences and conflict resolution styles) and team cohesion construct. On an empirical level, the study produced an empirically tested psycho-social model for team cohesion. This study will add significant practical, valuable knowledge to the organisation in managing the future establishment and enhancement of team cohesion, and when integrating new team members to the environment during organisational restructuring and re-alignment after acquisitions and mergers, without negatively affecting organisational effectiveness. These findings invariably provided new insight in managing and understanding inherent interpersonal conflict among employees in the workplace and the enhancement of team cohesion practices, thus adding to the existing body of knowledge in the fields of Consulting Psychology and Industrial and Organisational Psychology, more specifically in financial organisations.PsychologyD. Phil. (Consulting Psychology

Comprehension of object-oriented software cohesion: The empirical quagmire

Chidamber and Kemerer (1991) proposed an object-oriented (OO) metric suite which included the Lack of Cohesion Of Methods (LCOM) metric. Despite considerable effort both theoretically and empirically since then, the software engineering community is still no nearer finding a generally accepted definition or measure of OO cohesion. Yet, achieving highly cohesive software is a cornerstone of software comprehension and hence, maintainability. In this paper, we suggest a number of suppositions as to why a definition has eluded (and we feel will continue to elude) us. We support these suppositions with empirical evidence from three large C++ systems and a cohesion metric based on the parameters of the class methods; we also draw from other related work. Two major conclusions emerge from the study. Firstly, any sensible cohesion metric does at least provide insight into the features of the systems being analysed. Secondly however, and less reassuringly, the deeper the investigative search for a definitive measure of cohesion, the more problematic its understanding becomes; this casts serious doubt on the use of cohesion as a meaningful feature of object-orientation and its viability as a tool for software comprehension

Assessing architectural evolution: A case study

This is the post-print version of the Article. The official published can be accessed from the link below - Copyright @ 2011 SpringerThis paper proposes to use a historical perspective on generic laws, principles, and guidelines, like Lehman’s software evolution laws and Martin’s design principles, in order to achieve a multi-faceted process and structural assessment of a system’s architectural evolution. We present a simple structural model with associated historical metrics and visualizations that could form part of an architect’s dashboard. We perform such an assessment for the Eclipse SDK, as a case study of a large, complex, and long-lived system for which sustained effective architectural evolution is paramount. The twofold aim of checking generic principles on a well-know system is, on the one hand, to see whether there are certain lessons that could be learned for best practice of architectural evolution, and on the other hand to get more insights about the applicability of such principles. We find that while the Eclipse SDK does follow several of the laws and principles, there are some deviations, and we discuss areas of architectural improvement and limitations of the assessment approach

An assessment of EU Cohesion Policy in the UK regions: direct effects and the dividend of targeting. LEQS Discussion Paper No. 135/2018 June 2018

With the prospective exit of the UK from the European Union, a crucial question is whether EU Structural Funds have been beneficial for the country and which aspects of Cohesion Policy should be maintained if EU funds are to be replaced. This paper addresses this question through a twofold investigation, assessing not only whether but also how EU funds have contributed to regional growth in the UK over three programming periods from 1994 to 2013. We document a significant and robust effect of Cohesion Policy in the UK, with higher proportions of Structural Funds associated to higher economic growth both on the whole and particularly in the less developed regions of the country. In addition, we show that the strategic orientation of investments also plays a distinct role for regional growth. While concentration of investments on specific pillars seems to have no direct growth effects, unless regions can rely on pre-existing competitive advantages in key development areas, we unveil clear evidence that targeting investments on specific areas of relative regional need has a significant and autonomous effect on growth. These findings have important implications for the design of regional policy interventions in Britain after Brexit

Profile of high-performing college soccer teams: An exploratory multi-level analysis

Purpose: To determine the profile of high-performing college soccer teams through the use of exploratory hierarchical linear modeling (HLM) based on a socio-cognitive approach. Design and Measures: A correlational design was employed in this study. The sample consisted of 340 college soccer players of both genders (178 female and 162 male), representing 17 different teams (8 female and 9 male) ranked in the top-32 of the National Association of Intercollegiate Athletics (NAIA). Numerous demographic and soccer-related variables represented level-1 in the HLM model. Group Environment Questionnaire and Team Assessment Diagnostic Measure were entered as level-2 variables, representing cohesion and team mental models, respectively. Perceived performance potential (PPP) served as the dependent variable. Objective performance scores were correlated with PPP, attesting a moderate to high-level of criterion related validity (r = .78). Results: The final model suggested that: (1) International athletes perceive their performance lower than others, (2) different field positions share different covariance coefficients with PPP, and (3) perception of social cohesion from a group, rather than individual, standpoint is positively associated with perceptions of team performance. Conclusions: High performing teams have clearly defined task-related and team-related goals. Accordingly, social rather than task related factors may represent a competitive edge, further energizing the interactions and performance of top-ranked teams. International athletes perceive team performance lower than locals, perhaps due to differences in preferred game-style and acculturation experiences. Players from different field positions (i.e., goalkeepers, defensive, and offensive players) relate differently to team performance in college soccer

EU Cohesion Policy: A suitable tool to foster regional innovation? Bertelsmann Policy Paper, 2019

Across Europe, regions are divided into innovation leaders and moderate innovators – the latter referring to regions that lag behind in terms of prosperity and R&D activities. This innovation gap in turn threatens to reinforce the productivity gap between regions. The EU’s Cohesion Policy recently shifted its focus towards funding innovation to deal with these disparities. Is this strategy working

Using a Combination of Measurement Tools to Extract Metrics from Open Source Projects

Software measurement can play a major role in ensuring the quality and reliability of software products. The measurement activities require appropriate tools to collect relevant metric data. Currently, there are several such tools available for software measurement. The main objective of this paper is to provide some guidelines in using a combination of multiple measurement tools especially for products built using object-oriented techniques and languages. In this paper, we highlight three tools for collecting metric data, in our case from several Java-based open source projects. Our research is currently based on the work of Card and Glass, who argue that design complexity measures (data complexity and structural complexity) are indicators/predictors of procedural/cyclomatic complexity (decision counts) and errors (discovered from system tests). Their work was centered on structured design and our work is with object-oriented designs and the metrics we use parallel those of Card and Glass, being, Henry and Kafura's Information Flow Metrics, McCabe's Cyclomatic Complexity, and Chidamber and Kemerer Object-oriented Metrics