Gender, Professional Networks, and Subjective Career Success within Early Academic Science Careers: The Role of Gender Composition in Inside and Outside Departmental Support Networks

The present study analyzed (a) gender differences in the gender composition (i.e., the proportion of male to female contacts) of professional support networks inside and outside an individual’s academic department and (b) how these differences in gender composition relate to subjective career success (i.e., perceived career success and perceived external marketability). Results showed that the networks’ gender composition is associated with subjective career success. Men’s networks consist of a higher proportion of male to female supporters, which, in turn, was positively related to subjective career success. Additional analyses revealed that the findings could not be accounted for by alternative factors, such as network size, networking behaviors, and career ambition.

Identification of success and failure factors for technology transfer in biotechnology: case studies and surveys from Academic Sinica in Taiwan

Academia Sinica is the leading research institute in Taiwan founded in 1928. Its Office of Technology Transfer (OTT) was established in 1998. It made great efforts to dramatically turn around the technology transfer activity of Academia Sinica, especially in biotechnology. Academia Sinica has more than 80 cases of experience in biotechnology transfer with companies in Taiwanese industry in the past five years. The purpose of this study is to identify potential success and failure factors for biotechnology transfer in Taiwan. Eight cases were studied through in-depth interview. The results of the analysis were used to design two surveys to further investigate 81 cases (48 successful and 33 failure cases) of biotechnology transfer in Academia Sinica from 1999–2003. The results indicated that 10 of the 14 success factors were cited in more than 40% of the cases as contributing to the success of technology transfer. By contrast, only 5 out of 16 key factors were present in more than 30% of the failure cases.

Women graduates' academic resilience and their personal strategies for doctoral success

This study explores women's perceptions of what made them successful doctoral students and what strategies they used to cope and succeed in the academic environment of an off-campus program in South Florida. The study's theoretical framework was built on Bandura's (1997) theory regarding ways self-efficacy influences choices made and effort expended; and Gilligan (1982), Belenky et al. (1986) and other feminists' theories concerning how women learn. ^ The study included data obtained from individual, semi-structured interviews with 10 participants, documents spanning the 10 years of the program and interviews with founding faculty members. For each, academic resilience was built on (a) viewing that working on the degree was personally fulfilling; (b) believing she possessed a strong sense of academic confidence; (c) priding herself on having self discipline; (d) seeing herself as a role model; and (e) being motivated by a personal or career goal. ^ Strategies the participants used to overcome roadblocks included (a) time management—finding time for personal, professional, and academic duties; (b) focus—making the dissertation a priority; (c) collaboration—utilizing both personal and programmatic assistance; (d) and advocacy—acting on their individual needs. ^ Results of the study indicated that the program at the satellite campus provided structural resources that satisfied basic needs and strengthened the students' self-efficacy. This helped them become successful doctoral graduates. The women had personal fortitude and strong self-efficacy to complete the doctoral journey. They understood that their success was primarily based on the support they received from people: families, peers, and their major professors. Participants suggested that successful women students ascertain whether they have time and resources to devote to an extended study, an understanding family, and the resilience to overcome roadblocks along the way. ^

Black middle school students' perceptions of success and their influence on academic performance

The purpose of the study was to investigate the perceptions of success held by Black middle school students in a Miami-Dade County (FL) public school and how these perceptions influence academic performance. The study sought to determine if differences exist among African-American, Haitian-American, and Haitian immigrant subgroups of the Black student population. ^ The study combined qualitative and quantitative methodology in data collection and analysis. The qualitative data consisted of three focus group interviews. Using a semi-structured protocol, questions focused on the student's perceptions of the characteristics of successful people, definitions of success, behaviors associated with achieving success, and peer, family and school support. The quantitative data comprised the responses of 352 Black middle school students to the Inventory of Student Motivation (ISM) developed to measure mastery, performance and social goal orientations. Response similarities and differences were examined using a series of two-way ANOVAs on the success scales by gender and culture. A three-way repeated measures ANOVA was conducted on mastery, performance and social general goal scales by culture and gender. ^ The results of the ISM revealed no statistically significant differences among African-American, Haitian-American, and Haitian students in their mastery, performance or social goal orientations. All three cultural groups scored significantly high on the mastery goal scale. There was a significant effect for gender on the mastery general scale with the females being more concerned with mastery than the males. Qualitative focus group interview results included varying definitions of success. African-American and Haitian-American students defined success in materialistic terms. Haitian students defined success in scholastic achievement terms. All students indicated hard work, persistence and goal setting through completion as important to achieving success. Negative influences included peer pressure, teacher and societal expectations, and classroom environment. Parental reaction to low academic performance varied by culture. ^

Utilizing Traditional Cognitive Measures of Academic Preparation to Predict First-Year Science, Technology, Engineering, and Mathematics (STEM) Majors' Success in Math and Science Courses

For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.

The Dyad School Success/Failure in the Academic Development of the Working Class Women from Mendoza

The notion of academic performance renders account of the results achieved by the students during their school education.  Internally, there are two opposed phenomena:  school success and school failure.  Sociology of education has contributed to the discussion of both notions revealing their social nature closely related to the institutional and socio-cultural contexts in which education is developed.  This paper is the result of a research project conducted for our doctoral thesis.  Its purpose is to contribute to enlighten the scopes of this discussion, by analyzing the school development of a group of working class women from Mendoza. We were interested, in the first place, in knowing the reasons why they quit school when they were young girls or adolescents.  Subsequently, we have approached the opportunities they had to access the system again during their adulthood, the obstacles they had to face and the resources to be able to complete the medium level.

Survey design: Insights from a public sector ERP success story

Research on the impact of Information Systems (IS) reported in both academic literature and popular press has reported confounding results. Some studies have reported encouraging results of IS, while others have reported nil or detrimental results. The contradictory results of these research studies can be partially attributed to the weaknesses in survey instruments. In an attempt to increase the validity of conclusions of IS assessment studies, survey instrument design should follow a rigorous and scientific procedure. This paper illustrates key validity and reliability issues in measuring Information Systems performance, using examples from a study designed to assess Enterprise Resource Planning systems success. The article emphasizes on the importance of the survey method and the theoretical considerations of item derivation, scale development and item evaluation. Examples are provided from the ERP assessment study to supplement the readers understanding of the theoretical concepts of survey design.

Knowledge management for ERP success

The business value of Enterprise Resource Planning (ERP) systems and in general large software implementations has been extensively debated in both popular press and academic literature for over three decades. Despite the positive motives for adoption, various organizations have reported negative impacts from these large investments. This ‘disconnect’ between large IS investments and firms’ organizational performance may be attributable to the economic transition from an era of competitive advantage based on information to one that is based on Knowledge. This paper discusses the initial findings of a two-phased study that focuses on empirically assessing the impact of knowledge management on the success of Enterprise Resource Planning systems. The research study uses information gathered from twenty-seven public sector organizations in Queensland, Australia. Validation of the a priori model constructs through factor analysis identified two dimensions of knowledge management. Further analysis assessed the comparative differences in perceptions of knowledge management in ERP, across four employment cohorts.

Student success : the identification and support of first year university students at risk of attrition

The engagement behaviour of 1,524 student-enrolments (“students”) in five first year units was monitored and 608 (39.9%) were classified as “at risk” using the criterion of not submitting or failing their first assignment. Of these, 327 (53.8%) were successfully contacted (i.e., spoken to by phone) and provided with advice and/or referral to learning and personal support services while the remaining 281 (46.2%) could not be contacted. Nine hundred and sixteen students (60.1%) were classified as “not at risk.” Overall, the at risk group who were contacted achieved significantly higher end-of-semester final grades than, and persisted (completed the unit) at more than twice the rate of, the at risk group who were not contacted. There were variations among the units which were explained by the timing of the first assignment, specific teaching-learning processes and the structure of the curriculum. Implications for curriculum design and supporting first year students within a personal, social and academic framework are discussed.

Harnessing assessment and feedback in the first year to support learning success, engagement and retention

It has been argued that intentional first year curriculum design has a critical role to play in enhancing first year student engagement, success and retention (Kift, 2008). A fundamental first year curriculum objective should be to assist students to make the successful transition to assessment in higher education. Scott (2006) has identified that ‘relevant, consistent and integrated assessment … [with] prompt and constructive feedback’ are particularly relevant to student retention generally; while Nicol (2007) suggests that ‘lack of clarity regarding expectations in the first year, low levels of teacher feedback and poor motivation’ are key issues in the first year. At the very minimum, if we expect first year students to become independent and self-managing learners, they need to be supported in their early development and acquisition of tertiary assessment literacies (Orrell, 2005). Critical to this attainment is the necessity to alleviate early anxieties around assessment information, instructions, guidance, and performance. This includes, for example:  inducting students thoroughly into the academic languages and assessment genres they will encounter as the vehicles for evidencing learning success; and  making expectations about the quality of this evidence clear. Most importantly, students should receive regular formative feedback of their work early in their program of study to aid their learning and to provide information to both students and teachers on progress and achievement. Leveraging research conducted under an ALTC Senior Fellowship that has sought to articulate a research-based 'transition pedagogy' (Kift & Nelson, 2005) – a guiding philosophy for intentional first year curriculum design and support that carefully scaffolds and mediates the first year learning experience for contemporary heterogeneous cohorts – this paper will discuss theoretical and practical strategies and examples that should be of assistance in implementing good assessment and feedback practices across a range of disciplines in the first year.

Ensuring student success : the role of support services in improving the quality of the student learning experience

This paper is based on the premise that universities have an obligation to provide adequate student support services, such as learning assistance (that is, assistance with academic writing and other study skills) and that in order to be effective such services must be responsive to the wider policy and social implications of student attrition and retention. The paper outlines briefly some of the factors that have influenced the development of learning assistance practices in Australia and America. This is followed by an account of experiences at one Australian metropolitan university where learning assistance service provision shifted from a decentralised, faculty-based model to a centralised model of service delivery. This shift was in response to concerns about lack of quality and consistency in a support model dependent upon faculty resources yet a follow up study identified other problems in the centralised delivery of learning assistance services. These problems, clustered under the heading contextualised versus decontextualised learning assistance, include the relevance of generic learning assistance services to students struggling with specific course related demands; the apparent tensions between challenging students and assisting students at risk of failure; and variations in the level of collaboration between learning advisers and academic staff in supporting students in the learning environment. These problems are analysed using the theoretical modelling derived from the tools made available through cultural historical activity theory and expansive visibilisation (Engeström & Miettinen, 1999).

Understanding the phenomenon of IS success in China through the lens of the IS-Impact model

This study is conducted within the IS-Impact Research Track at Queensland University of Technology (QUT). The goal of the IS-Impact Track is, “to develop the most widely employed model for benchmarking information systems in organizations for the joint benefit of both research and practice” (Gable et al, 2006). IS-Impact is defined as “a measure at a point in time, of the stream of net benefits from the IS, to date and anticipated, as perceived by all key-user-groups” (Gable Sedera and Chan, 2008). Track efforts have yielded the bicameral IS-Impact measurement model; the “impact” half includes Organizational-Impact and Individual-Impact dimensions; the “quality” half includes System-Quality and Information-Quality dimensions. The IS-Impact model, by design, is intended to be robust, simple and generalizable, to yield results that are comparable across time, stakeholders, different systems and system contexts. The model and measurement approach employ perceptual measures and an instrument that is relevant to key stakeholder groups, thereby enabling the combination or comparison of stakeholder perspectives. Such a validated and widely accepted IS-Impact measurement model has both academic and practical value. It facilitates systematic operationalization of a main dependent variable in research (IS-Impact), which can also serve as an important independent variable. For IS management practice it provides a means to benchmark and track the performance of information systems in use. The objective of this study is to develop a Mandarin version IS-Impact model, encompassing a list of China-specific IS-Impact measures, aiding in a better understanding of the IS-Impact phenomenon in a Chinese organizational context. The IS-Impact model provides a much needed theoretical guidance for this investigation of ES and ES impacts in a Chinese context. The appropriateness and soundness of employing the IS-Impact model as a theoretical foundation are evident: the model originated from a sound theory of IS Success (1992), developed through rigorous validation, and also derived in the context of Enterprise Systems. Based on the IS-Impact model, this study investigates a number of research questions (RQs). Firstly, the research investigated what essential impacts have been derived from ES by Chinese users and organizations [RQ1]. Secondly, we investigate which salient quality features of ES are perceived by Chinese users [RQ2]. Thirdly, we seek to answer whether the quality and impacts measures are sufficient to assess ES-success in general [RQ3]. Lastly, the study attempts to address whether the IS-Impact measurement model is appropriate for Chinese organizations in terms of evaluating their ES [RQ4]. An open-ended, qualitative identification survey was employed in the study. A large body of short text data was gathered from 144 Chinese users and 633 valid IS-Impact statements were generated from the data set. A generally inductive approach was applied in the qualitative data analysis. Rigorous qualitative data coding resulted in 50 first-order categories with 6 second-order categories that were grounded from the context of Chinese organization. The six second-order categories are: 1) System Quality; 2) Information Quality; 3) Individual Impacts;4) Organizational Impacts; 5) User Quality and 6) IS Support Quality. The final research finding of the study is the contextualized Mandarin version IS-Impact measurement model that includes 38 measures organized into 4 dimensions: System Quality, information Quality, Individual Impacts and Organizational Impacts. The study also proposed two conceptual models to harmonize the IS-Impact model and the two emergent constructs – User Quality and IS Support Quality by drawing on previous IS effectiveness literatures and the Work System theory proposed by Alter (1999) respectively. The study is significant as it is the first effort that empirically and comprehensively investigates IS-Impact in China. Specifically, the research contributions can be classified into theoretical contributions and practical contributions. From the theoretical perspective, through qualitative evidence, the study test and consolidate IS-Impact measurement model in terms of the quality of robustness, completeness and generalizability. The unconventional research design exhibits creativity of the study. The theoretical model does not work as a top-down a priori seeking for evidence demonstrating its credibility; rather, the study allows a competitive model to emerge from the bottom-up and open-coding analysis. Besides, the study is an example extending and localizing pre-existing theory developed in Western context when the theory is introduced to a different context. On the other hand, from the practical perspective, It is first time to introduce prominent research findings in field of IS Success to Chinese academia and practitioner. This study provides a guideline for Chinese organizations to assess their Enterprise System, and leveraging IT investment in the future. As a research effort in ITPS track, this study contributes the research team with an alternative operationalization of the dependent variable. The future research can take on the contextualized Mandarin version IS-Impact framework as a theoretical a priori model, further quantitative and empirical testing its validity.

Strategies for gaining and maintaining academic support for the institutional open access repository

The impact of research can be measured by use or citation count. The more widely available that research outputs are; the more likely they are to be used, and the higher the impact. Making the author-manuscript version of research outputs freely available via the institutional repository greatly increases the availability of research outputs and can increase the impact. QUT ePrints, the open access institutional repository of research outputs at Queensland University of Technology (QUT), Australia, was established in 2003 and is managed by the QUT Library. The repository now contains over 39,000 records. More than 21,000 of these records have full-text copies attached as result of continuous effort to maintain momentum and encourage academic engagement. The full-text deposit rate has continued to increase over time and, in 2012 (August, at the time of writing), 88% of the records for works published in 2012 provide access to a full-text copy. Achieving success has required a long term approach to collaboration, open access advocacy, repository promotion, support for the deposit process, and ongoing system development. This paper discusses the various approaches adopted by QUT Library, in collaboration with other areas of the University, to achieve success. Approaches include mainstreaming the repository via having it report to the University Research and Innovation Committee; regular provision of deposit rate data to faculties; championing key academic supporters; and holding promotional competitions and events such as during Open Access Week. Support and training is provided via regular deposit workshops with academics and faculty research support groups and via the provision of online self-help information. Recent system developments have included the integration of citation data (from Scopus and Web of Science) and the development of a statistical reporting system which incentivise engagement.

NRM engagement between remote dryland communities and government agencies : success factors from Australia

The management of dryland environments involves the interaction of multiple government agencies and citizens, and is required to respond to a wide range of responsibilities and aspirations for a given region. This paper focuses on the characteristics of engagement between management agencies and citizens in a dryland region, presented here as a series of success factors. These factors are based on empirical research carried out in the Lake Eyre Basin in Australia, one of the world’s largest inwardly draining basins. The results reinforce generic and dryland-specific factors supporting successful community engagement. The former, such as building trust, working in partnership, supporting community champions, and maintaining transparency, are necessary but insufficient for achieving successful community engagement in the case study region. In addition, community engagement in the case study region also required respecting the extreme conditions and extraordinary variability of the Basin and committing to longer timeframes even if the outcomes of community engagement are slow to accrue, in order to take advantage of opportunities in more prosperous times.

Rent-a-crowd? Crowdfunding academic research

This paper examines the use of crowdfunding platforms to fund academic research. Looking specifically at the use of a Pozible campaign to raise funds for a small pilot research study into home education in Australia, the paper reports on the success and problems of using the platform. It also examines the crowdsourcing of literature searching as part of the package. The paper looks at the realities of using this type of platform to gain start–up funding for a project and argues that families and friends are likely to be the biggest supporters. The finding that family and friends are likely to be the highest supporters supports similar work in the arts communities that are traditionally served by crowdfunding platforms. The paper argues that, with exceptions, these platforms can be a source of income in times where academics are finding it increasingly difficult to source government funding for projects.