49 resultados para Mentoring and helping relationships

em Aston University Research Archive


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An analysis of the value of peer mentoring as an experiential learning approach

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This paper examines learning to collaborate in the context of industrial supply relationships. Evidence of collaboration, and individual and organizational learning, from an in-depth case study of a large organization and its relations with two key suppliers is discussed. Analytic methods developed to elicit such evidence and provide insights into learning processes and outcomes are presented. It is argued that it is possible for an organization and individuals to learn to develop resilient collaborative relationships, but this requires a more thorough consideration and understanding of issues such as trust, commitment and teamwork than has been typical to date. Suggestions for future practice and research are presented.

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The programme of research examines knowledge workers, their relationships with organisations, and perceptions of management practices through the development of a theoretical model and knowledge worker archetypes. Knowledge worker and non-knowledge worker archetypes were established through an analysis of the extant literature. After an exploratory study of knowledge workers in a small software development company the archetypes were refined to include occupational classification data and the findings from Study 1. The Knowledge Worker Characteristics Model (KWCM) was developed as a theoretical framework in order to analyse differences between the two archetypes within the IT sector. The KWCM comprises of the variables within the job characteristics model, creativity, goal orientation, identification and commitment. In Study 2, a global web based survey was conducted. There were insufficient non-knowledge worker responses and therefore a cluster analysis was conducted to interrogate the archetypes further. This demonstrated, unexpectedly, that that there were marked differences within the knowledge worker archetypes suggesting the need to granulate the archetype further. The theoretical framework and the archetypes were revised (as programmers and web developers) and the research study was refocused to examine occupational differences within knowledge work. Findings from Study 2 identified that there were significant differences between the archetypes in relation to the KWCM. 19 semi-structured interviews were conducted in Study 3 in order to deepen the analysis using qualitative data and to examine perceptions of people management practices. The findings from both studies demonstrate that there were significant differences between the two groups but also that job challenge, problem solving, intrinsic reward and team identification were of importance to both groups of knowledge workers. This thesis presents an examination of knowledge workers’ perceptions of work, organisations and people management practices in the granulation and differentiation of occupational archetypes.

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We conducted an experimental intervention aimed at comparing the effectiveness of direct and imagined intergroup contact. Italian elementary school children took part in a three-week intervention with dependent variables assessed one week after the last intervention session. Results revealed that direct and imagined intergroup contact, compared to control conditions of direct and imagined intragroup contact, had an additive impact when it came to reducing negative stereotypes of immigrants and fostering future helping intentions toward this group. The theoretical and practical implications of the findings are discussed.

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This paper explores how transaction attributes of technology affect differences in the relationship between technology buyers and suppliers. It also examines the impact on performance of different patterns of relationship between technology buyers and suppliers. Data obtained from 147 manufacturing firms in Malaysia are used to test several hypotheses, which were derived from a review of the literature on technology, transaction cost theory and buyer–supplier relationships (BSR). The research results indicate that the higher the level of technological complexity, specificity and uncertainty, the more firms are likely to engage in a closer relationship with technology suppliers. Even though the majority of firms reported improvements in their performance, results indicate that firms demonstrating a closer relationship with technology suppliers are more likely to achieve higher levels of performance than those that do not. It is also shown that with high levels of transaction attribute, implementation performance suffers more when firms have weak relationships with technology suppliers than with moderate and low levels of transaction attribute.

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Customer satisfaction and service quality are two important concepts in the marketing literature. However, there has been some confusion about the conceptualisation and measurement of these two concepts and the nature of the relationship between them. The primary objective of this research was to develop a more thorough understanding of these concepts, and a model that could help to explain the links between them and their relationships with post-purchase behaviour. A preliminary theoretical model was developed, based on an exhaustive review of the literature. Following exploratory research, the model was revised by incorporating "Perceived Value" and "Perceived Sacrifice" to help explain customer's post-purchase behaviour. A longitudinal survey was conducted in the context of the restaurant industry, and the data were analysed using structural equation modelling. The results provided evidence to support the main research hypotheses. However, the effect of "Normative Expectations" on "Encounter Quality" was insignificant, and "Perceived Value" had a direct effect on "Behavioural Intentions" despite expectations that such an effect would be mediated through "Customer Satisfaction". It was also found that "Normative Expectations" were relatively more stable than "Predictive Expectations". It is argued that the present research significantly contributes to the marketing literature, and in particular the role of perceived value in the formation of customers' post-purchase behaviour. Further research efforts in this area are warranted.

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Previous studies into student volunteering have shown how formally organized volunteering activities have social, economic and practical benefits for student volunteers and the recipients of their volunteerism (Egerton, 2002; Vernon & Foster, 2002); moreover student volunteering provides the means by which undergraduates are able to acquire and hone transferable skills sought by employers following graduation (Eldridge & Wilson, 2003; Norris et al, 2006). Although much is known about the benefits of student volunteering, few previous studies have focused on the pedagogical value of student mentoring from the perspectives of both student mentee and mentor. Utilising grounded theory methodology this paper provides a critical analysis of an exploratory study analysing students’ perceptions of the pedagogical and social outcomes of student mentoring. It looks at students’ perceptions of mentoring, and being mentored, in terms of the learning experience and development of knowledge and skills. In doing so the paper considers how volunteering in a mentoring capacity adds ‘value’ to students’ experiences of higher education. From a public policy perspective, the economic, educational, vocational and social outcomes of student volunteering in general, and student mentoring in particular, make this an important subject meriting investigation. In terms of employability, the role of mentoring in equipping mentors and mentees with transferable, employability competencies has not been investigated. By critiquing the mentoring experiences of undergraduates within a single institution, this paper will make an important contribution to policy debates with regards to the pedagogical and employability related outcomes of student volunteering and mentoring.

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Although impression management scholars have identified a number of tactics for influencing supervisor evaluations, most of those tactics represent supervisor-targeted behaviors. This study examines the degree to which employees form supportive relationships with peers for impression management purposes. In so doing, we explore this intriguing question: Will employees gain more from forming supportive relationships with stars (i.e., top performers who are on the fast track in the organization) or projects (i.e., works in progress who need help and refinement to perform well)? We examined this question in 2 field studies. Study 1 included 4 sources and 2 time periods; Study 2 included 2 sources and 3 time periods. The results showed that supportive relationships with both stars and projects seemed to represent impression management opportunities, insofar as they predicted supervisor positive affect and perceptions of employee promotability. Impression management motives only predicted supportive relationships with stars, however, not projects. Relationships with projects were driven by prosocial motives not concerns about managing images. We discuss the practical and theoretical implications of our results for the managing of impressions and peer relationships

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Academic researchers have followed closely the interest of companies in establishing industrial networks by studying aspects such as social interaction and contractual relationships. But what patterns underlie the emergence of industrial networks and what support should research provide for practitioners? Firstly, it appears that manufacturing is becoming a commodity rather than a unique capability, which accounts especially for low-technology approaches in downstream parts of the network, for example in assembly operations. Secondly, the increased tendency towards specialization has forced other, upstream, parts of industrial networks to introduce advanced manufacturing technologies to supply niche markets. Thirdly, the capital market for investments in capacity, and the trade in manufacturing as a commodity, dominates resource allocation to a larger extent than previously was the case. Fourthly, there is a continuous move towards more loosely connected entities that comprise manufacturing networks. More traditional concepts, such as the “keiretsu” and “chaibol” networks of some Asian economies, do not sufficiently support the demands now being placed on networks. Research should address these four fundamental challenges to prepare for the industrial networks of 2020 and beyond.

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The article examines the extent to which foreign manufacturing firms in the UK promote productivity growth in the domestically owned manufacturing sector through their buying and supplying relationships. Evidence for intra- and inter-regional externalities from the presence of foreign manufacturing, and intraand inter-industry effects is brought to light. Externalities in the domestic sector are most noticeable where foreign manufacturing sells to domestic manufacturing. These externalities are, however, not wholly robust to different specifications of spatial dependence. The findings are positioned in a debate, which has tended to view backward (as opposed to forward) linkages from multinationals to domestically owned supply bases as a critical driver of indirect economic benefits. © RSAI 2004.

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When applying multivariate analysis techniques in information systems and social science disciplines, such as management information systems (MIS) and marketing, the assumption that the empirical data originate from a single homogeneous population is often unrealistic. When applying a causal modeling approach, such as partial least squares (PLS) path modeling, segmentation is a key issue in coping with the problem of heterogeneity in estimated cause-and-effect relationships. This chapter presents a new PLS path modeling approach which classifies units on the basis of the heterogeneity of the estimates in the inner model. If unobserved heterogeneity significantly affects the estimated path model relationships on the aggregate data level, the methodology will allow homogenous groups of observations to be created that exhibit distinctive path model estimates. The approach will, thus, provide differentiated analytical outcomes that permit more precise interpretations of each segment formed. An application on a large data set in an example of the American customer satisfaction index (ACSI) substantiates the methodology’s effectiveness in evaluating PLS path modeling results.