Search results

Students in full-time higher education are increasingly combining work with study. This can present challenges and conflicting priorities which may result in stress and compromised academic performance. However, working can also afford students a better quality of life and enhanced employability. The growth of student employment creates implications for universities and employers. In this chapter, we report the results of our research which explored experiences of students at a business school in a large UK university who were working while studying. We examine the experiences and perceived consequences of combining employment with full-time study and seek to understand why students work during their degree program, the challenges and benefits of balancing work and factors which may help and hinder their efforts. The chapter builds on the existing knowledge base about the effects working has on students’ academic performance and well-being, and considers how universities, employers and social circumstances may support students in managing their complex lives.

The purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred to as data sets as part of the collections as data movement, suitable for computational use.

The checklist was built by synthesising and analysing the results of relevant research literature, articles and studies and the issues and needs obtained in an observational study. The checklist was tested and applied both as a tool for assessing a selection of digital collections made available by galleries, libraries, archives and museums (GLAM) institutions as proof of concept and as a supporting tool for creating collections as data.

Over the past few years, there has been a growing interest in making available digital collections published by GLAM organisations for computational use. Based on previous work, the authors defined a methodology to build a checklist for the publication of Collections as data. The authors’ evaluation showed several examples of applications that can be useful to encourage other institutions to publish their digital collections for computational use.

While some work on making available digital collections suitable for computational use exists, giving particular attention to data quality, planning and experimentation, to the best of the authors’ knowledge, none of the work to date provides an easy-to-follow and robust checklist to publish collection data sets in GLAM institutions. This checklist intends to encourage small- and medium-sized institutions to adopt the collection as data principles in daily workflows following best practices and guidelines.

Occupational Choice Personnel Planning and Occupational Choice The way in which people get into, stay in or leave occupations interests us all. Not least because each and every one of us is part of the work‐world: we have all experienced and gone through the process of entering an occupation. In addition our interest arises from an academic viewpoint. Western industrialized society is characterized by a complex division of labour. Associated with this form of social organization is the principle that types of work are related to the execution of specific tasks. The division of labour depends on the allocation of people into occupations: there must be a match between jobs or tasks and individuals possessing skills appropriate to the execution of such tasks.

This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption models, energy-efficient locomotion, hardware energy consumption, optimization in path planning and scheduling methods, and to suggest future research directions.

The systematic literature review (SLR) identified 244 papers for analysis. Research articles published from 2010 onwards were searched in databases including Google Scholar, ScienceDirect and Scopus using keywords and search criteria related to energy and power management in various robotic systems.

The review highlights the following key findings: batteries are the primary energy source for AMRs, with advances in battery management systems enhancing efficiency; hybrid models offer superior accuracy and robustness; locomotion contributes over 50% of a mobile robot’s total energy consumption, emphasizing the need for optimized control methods; factors such as the center of mass impact AMR energy consumption; path planning algorithms and scheduling methods are essential for energy optimization, with algorithm choice depending on specific requirements and constraints.

The review concentrates on wheeled robots, excluding walking ones. Future work should improve consumption models, explore optimization methods, examine artificial intelligence/machine learning roles and assess energy efficiency trade-offs.

This paper provides a comprehensive analysis of energy efficiency in AMRs, highlighting the key findings from the SLR and suggests future research directions for further advancements in this field.

This article aims to add to the growing number of critical empirical studies and to reflect on the process of conducting this type of research, thereby addressing the lack of exemplars for those engaged with critical empirical information systems research.

Applies the critical lens to a multi‐year examination of variation in the career narratives of women in the American IT labor force. While an interpretive epistemology was initially chosen for this research project, over time, analysis of interview data took on an increasingly critical orientation. This, in turn, influenced subsequent fieldwork to become critical in nature.

One theoretical contribution is highlighting the role of power dynamics in understanding what sits beneath the surface of observations about these women's experiences in the IT workforce. The second theoretical contribution is helping to shift the focus away from predominantly essentialist theories that dichotomize men and women and toward a recognition of the diversity among women in the IT field.

Future research should include additional critical empirical studies of women in the IT field in other countries.

This research project can serve as a useful example for other critical IS researchers about to embark on empirical fieldwork.

This paper provides a concrete illustration of the way in which empirical research is altered as the epistemological lens shifts from interpretivist to critical.

BIRMINGHAM is the largest city in Great Britain, after London, and it is often called “The Second City”. It lies in the very centre of England, in Shakespeare's county of Warwickshire, 114 miles from London, 90 from Bristol, and less than 100 from Liverpool and Manchester.

This study examined several factors related to the brand loyalty exhibited by fans of the Chicago Cubs major league baseball team. A total of 371 patrons of a restaurant located in Wrigleyville were surveyed prior to Cubs games at Wrigley Field. Working from a tripartite model of brand loyalty, it was predicted that, compared to less loyal fans, die‐hard (extremely loyal) Cubs fans would demonstrate different attitudes and behaviors regarding the Chicago Cubs. Several hypotheses were developed and tested using descriptive statistics, cross‐tabulations, and ANOVA procedures. Significant differences between the two fan groups were found in the areas of brand loyalty, baseball knowledge, childhood exposure to Cubs’ games, frequency of Cubs’ game attendance, and likelihood of purchasing Cubs paraphernalia. A variety of managerial implications are drawn from the results and future research suggestions are provided.

The Centre was established in 1961, under the aegis of the Department of Economics at Manchester University, with the aim of promoting research into problems of business management. It comprises a club of major business firms, whose annual subscriptions, along with other research grants finance the day‐to‐day running of the Centre and the sponsorship of a number of ‘high priority’ research projects. The member firms provide facilities within their own organizations for independent investigations and keep in close contact with the research elements of Manchester Business School.

The subject of part‐time work is one which has become increasingly important in industrialised economies where it accounts for a substantial and growing proportion of total employment. It is estimated that in 1970, average annual hours worked per employee amounted to only 60% of those for 1870. Two major factors are attributed to explaining the underlying trend towards a reduction in working time: (a) the increase in the number of voluntary part‐time employees and (b) the decrease in average annual number of days worked per employee (Kok and de Neubourg, 1986). The authors noted that the growth rate of part‐time employment in many countries was greater than the corresponding rate of growth in full‐time employment.