111 research outputs found

    Using sensemaking as a diagnostic tool in the analysis of qualitative data

    Get PDF
    Analysis of qualitative data is a process which novice researchers must learn as they progress, and which experienced researchers must negotiate and adapt to suit the study they are undertaking and the data they are collected. The purpose of this paper is to demonstrate how researchers can use sensemaking to diagnose and explain phenomena in ordinary situations, and how it can be added as an analysis and interpretation tool in their toolkit. This paper describes the use of sensemaking employed as a tool for diagnosis of the processes which take place when a manager encounters perceived declining performance in an older volunteer. It outlines how the What is going on here? reaction to surprise or interruption of her analysis stimulated researcher sensemaking, as patterns detected among anomalous data led to deeper data interpretation, and an important finding relating to the phenomenon under investigation. Evidence is presented which demonstrates the value of employing sensemaking as a diagnostic tool in qualitative analysis and interpretation

    Impact of downsizing, restructuring and knowledge sharing on retention of knowledge in organisations : implications for organisational effectiveness

    Get PDF
    This research considers the organisational factors and processes that impact on knowledge retention and subsequent perceptions of organisational effectiveness during downsizing/restructuring events. By exploring these relationships, the research seeks to help organisations facing downsizing/restructuring to identify best practices to support employees during the process and achieve positive organisational outcomes. The thesis presents a detailed review of the literature in the field of downsizing and organisational restructuring, together with knowledge, knowledge sharing and organisational effectiveness. A conceptual framework and hypotheses, informed through the literature and qualitative focus group process, were developed for testing. Data were collected from 81 organisations, drawn from both the private and public sectors. Analyses enabled detailed consideration of the impact of perceived levels of organisational knowledge on perceptions of post-downsizing/restructuring organisational effectiveness. The significance of relationships between downsizing/restructuring events, both decisions and processes, and knowledge sharing in organisations undergoing downsizing/restructuring were also examined. Findings indicate the need for open and honest relationships between managerial (Decision Makers and Implementers) and non-managerial employees (Affected Employees) in order to achieve successful organisational outcomes. The impact of knowledge sharing on organisational knowledge was assessed by studying the extent of both formal knowledge sharing and informal networks present in respondent organisations. The direct impact of knowledge sharing on organisational outcomes was also analysed and discussed.Conclusions are reached that both formal knowledge sharing and informal networks have a significant impact not only on perceived levels of organisational knowledge but also on post-downsizing/restructuring organisational effectiveness. However, different aspects of knowledge sharing appear to be more significant to Decision Makers and Implementers and Affected Employees. For business, the findings of this research demonstrate a need to concentrate on organisational knowledge during downsizing/restructuring in order to achieve improved outcomes. The findings suggest this can be done through attention to ensuring that intent and interpretation of the decisions and processes involved are open and honest. Assessment of the knowledge present in the organisation and a focus on retention of key individuals with important knowledge is also advisable. Communication of what is planned and inclusion of employees in both planning and implementation were identified as ways in which organisations can do so, thereby promoting distributive and procedural fairness throughout the process. Formal knowledge sharing strategies arose as being important to achieving improved organisational outcomes, particularly to Decision Makers and Implementers. These strategies included identifying, capturing and storing information in ways that are accessible to employees. Documentation of practices and procedures was also found to be important as was careful planning of the change.Communication, providing training and support to survivors and allowing the necessary time for sharing knowledge were also identified as key strategies. Overall, developing a culture and climate within the organisation that is supportive of knowledge sharing was found to be central to achieving improved organisational effectiveness. Informal networks were identified by Affected Employees as impacting on both perceived levels of organisational knowledge and, indirectly on organisational outcomes. The research indicates the Decision Makers and Implementers and Affected Employees have different perceptions about the role and importance of informal networks. Those implementing downsizing/restructuring may therefore need to examine the structure and operation of informal networks prior to downsizing/restructuring to ensure they are adequately supported during the process. Informal networks may also be utilised to assist in bringing about the change. The findings of this research are important to assist organisations develop best practice approaches to downsizing/restructuring. With increasing acceptance of downsizing/restructuring as a business strategy, this research provides insights into key issues of downsizing/restructuring events and knowledge retention as predictors of improved organisational outcomes

    What knowledge, skills and attitudes should strategic HRM students acquire? A Delphi study

    Get PDF
    Much work has been done to identify competencies that HR practitioners need for a strategic HR role. However, little, if any, attention has been paid to the knowledge, skills and attitudes (KSAs) required of graduates entering the strategic HRM (SHRM) field. This study focuses on this area of neglect by employing the Delphi method to address the question: What core KSAs should SHRM students acquire? Three sequential questionnaires were administered to elicit opinions of leading academics and senior HR practitioners on KSAs that are important and to build consensus on the core KSAs. These processes generated ranked lists of 10 knowledge areas, 5 skills and 5 attitudes that will inform the design of curricula for undergraduate and postgraduate SHRM students

    Using the Delphi Technique to Identify Components of a Tertiary Strategic HRM Curriculum

    Get PDF
    This study sought to identify key knowledge, skills and attitudes required of SHRM graduates as identified by experts in the academic and practitioner fields. The Delphi technique was selected as it has been used effectively in other contexts to develop consensus amongst experts for a range of purposes, including curriculum design. Explanation of this technique, the rationale for its use and reflections on its use in curriculum design by both participants and researchers is provided

    Using research informed approaches to Strategic HRM teaching

    Get PDF
    This paper outlines research that was guided by the broad question: What teaching and learning (T&L) strategies should be employed in SHRM? This question was answered using data gathered in three focus groups involving T&L specialists, business strategy and HRM academics, and HRM practitioners. Through a process of successive focusing, potential T&L strategies were initially identified and then tested and refined in the focus groups. Drawing on literature and input from the participants, we contend that SHRM can be effectively taught through a combination of primarily problem-based and case-based approaches. We also argue that process worksheets are an effective method of providing problem solving support to students when they carry out complex learning tasks based on authentic SHRM problems

    Quantifying Nitrogen Use Efficiency in Wheat Using High-Precision Phenotyping

    Get PDF
    Modern cereal cultivars rely heavily on nitrogenous inputs to reach their yield potential. However, the nitrogen use efficiency (NUE) of wheat is poor and the recovery of applied nitrogen (N) in cereal production is low, between 30-50 %. This inefficiency results in the N pollution of natural ecosystems, and an economic loss to producers. Improving NUE in wheat (Triticum aestivum L.) has so far proved difficult due to the complexity of NUE and a lack of phenotyping resolution to identify superior NUE genotypes. Three knowledge gaps are addressed in this research. Firstly, the ability of high throughput phenotyping (HTP) to help us define the NUE of Australian wheat cultivars into differences that are apparent across a range of environments and managements. Central to this is the interaction between N and water, one of the major environmental determinants of N uptake. Secondly, although shoot tissue is one of the main reservoirs of plant N, and essential to understanding N uptake and utilisation, knowledge regarding tissue N response to changing N availability is limited. These processes are known to be dynamic and must be observed temporally in order to differentiate their responses to changes in N availability. Lastly, can a combination of these two phenotyping methods help explain plant responses to variable nutrient supply? Growth responsiveness to N supply in a selection of bread wheat cultivars with varying water provision was measured using HTP. Cultivar differences were discovered in their ability to increase shoot area in response to N, in absolute growth rate response to changes in water availability as well as the ability to convert this into yield. In order to differentiate N uptake in real time, a hyperspectral reflectance method utilising a field spectrophotometer and leaf clip was adapted to Australian bread wheats using partial least squares regression. The robustness of the method was established by regressing tissue N analysis with reflectance spectra readings, giving an R2 of the predictions at 0.83. The sensitivity of the method was determined to detect changes in leaf N % in a hydroponics system with alternating high/low N availability. The cultivars responded to the change in N by readjusting their leaf-N content to an equivalent steady-state N level within two days. The final part of this project was to incorporate HTP and the hyperspectral leaf N measurements to determine how wheat growth and N uptake responded to split applications of N. When N was added at stem elongation and booting growth stages, the plants delayed their point of maximal shoot area by six days, and increases in leaf N concentration were observed the day after application. The increases in N harvest index and the grain protein content found at destructive harvest were linked to growth and leaf N concentration differences during the experiment. Overall, the research presented here has measured NUE and cultivar differences repeatedly and with high resolution. These protocols show promise for the selection of improved NUE phenotypes, which could be combined with forward genetics to differentiate NUE and its component processes and identify the underlying genetic control.Thesis (Ph.D.) -- University of Adelaide, School of Agriculture, Food & Wine, 201

    Could on-the-job embeddedness help bind FIFO workers to their jobs?

    Get PDF
    Fly-In Fly-Out (FIFO) employees in the mining industry in Western Australia have had high levels of turnover, resulting in high costs in recruitment, training and lost production. This research is seeking to understand the reasons for high turnover in this somewhat unusual group of employees. Whilst the research has utilised the more traditional approach to understanding labour turnover, that is that dissatisfaction with job or company and the availability of viable alternatives lead to intention to quit, preliminary results indicate that job embeddedness theory, may provide a better understanding of why FIFO workers choose to stay in their jobs. This outcome raises questions about embeddedness theory itself, namely whether on-the-job embeddedness is a stronger predictor of staying than is off-the-job embeddedness

    Generational differences and Fly-In-Fly-Out (FIFO) employee turnover

    Get PDF
    Fly-in, fly-out (FIFO) mining has experienced significant growth in the past decade and is now a typical form of employment in the sector in Australia. Evidence suggests that there are relatively high turnover levels amongst these employees. Whilst there are many contributing causes to this, there may be variances between different generational cohorts at work as arguably their workplace expectation differs. This paper investigates whether turnover intentions vary between different generations of employees. Using a questionnaire, employees were asked about their turnover intentions and this was compared against the groups of Baby Boomers, Generation X and Generation Y. Findings show that Generation Y employees had a higher intention to quit than the Baby Boomers but were no different to Generation X employees

    Using sensemaking as a diagnostic tool in the analysis of qualitative data

    Get PDF
    Analysis of qualitative data is a process which novice researchers must learn as they progress, and which experienced researchers must negotiate and adapt to suit the study they are undertaking and the data they are collected. The purpose of this paper is to demonstrate how researchers can use sensemaking to diagnose and explain phenomena in ordinary situations, and how it can be added as an analysis and interpretation tool in their toolkit. This paper describes the use of sensemaking employed as a tool for diagnosis of the processes which take place when a manager encounters perceived declining performance in an older volunteer. It outlines how the “What is going on here?” reaction to surprise or interruption of her analysis stimulated researcher sensemaking, as patterns detected among anomalous data led to deeper data interpretation, and an important finding relating to the phenomenon under investigation. Evidence is presented which demonstrates the value of employing sensemaking as a diagnostic tool in qualitative analysis and interpretation
    corecore