Cultural differences, information and code systems

This paper explores an alternative way of framing information systems research on the role and impact of national culture. It argues that the widely accepted structural framework of Hofstede reduces interpretation to a simplistic categorical description which in many cases ignores differentiation within cultures. The alternative model suggests, that national culture can be better understood by seeking out the dominant codes that frame the discourse pervasive in a culture and understanding how that discourse affects the obvious social codes of ritual, custom and behavior and the textual codes which express the nature of that culture. This framework is applied to two different case studies—one in New Zealand and one in Thailand—to demonstrate its applicability.

Promoting a team ball game (Lifeball) to older people : who does this game attract and who continues?

Issue addressed: To describe the demographic and health-related characteristics (physical activity, self-reported health status, quality of life and falls history) of older people who enroll in a team-based game, Lifeball, and examine associations between continuation and participant characteristics. Reasons for stopping, participants' perceptions of the game and changes in health-related characteristics over 12 months were examined.

Methods: Telephone surveys were conducted with a cohort of Lifeball players at: baseline, soon after commencing playing and 12 months later.

Results: At baseline, participants were aged 40 to 96 years (mean 67). Most were female (84%), in good to excellent health (86%) and reported being sufficiently (>150 minutes per week) physically active (69%). Almost half (43%) were still playing 12 months later (continuers). Continuers were more likely to perceive Lifeball had helped them to: feel fitter and healthier (91%); improve their social life (73%); and be more active (53%). No significant changes in continuers' physical activity, self-reported health status and quality of life measures were reported. The main reason for stopping playing was illness/injury unrelated to Lifeball.

Conclusions: Lifeball mainly appealed to healthy, active older people.

Aligning global business information with ERP systems for improved performance

This paper is a discussion of research on the co-alignment of enterprise resource planning (ERP) systems capabilities and global business information requirements for improved performance. It is based on Structural Equation Modelling (SEM) analysis to establish that if these two constructs (ERP systems capabilities and global business information requirements) are co-aligned, improved global business performance is achieved. Research undertaken in this paper is based on a survey of global businesses that have implemented ERP systems. It extends the extant IT/IS alignment theories to ERP/Global business information requirements alignment. It makes an important contribution to the global business management information literature, by identifying and validating a set of important global business information requirements. This research also makes a novel contribution to the ERP systems literature by establishing a set of ERP systems capabilities that are useful for managing global business information requirements.

Effects of season period, team quality, and playing time on basketball players' game-related statistics

The aim of this study was to identify within-season differences in basketball players' game-related statistics according to team quality and playing time. The sample comprised 5309 records from 198 players in the Spanish professional basketball league (2007-2008). Factor analysis with principal components was applied to the game-related statistics gathered from the official box-scores, which limited the analysis to five factors (free-throws, 2-point field-goals, 3-point field-goals, passes, and errors) and two variables (defensive and offensive rebounds). A two-step cluster analysis classified the teams as stronger (69 ± 8 winning percentage), intermediate (43 ± 5 winning percentage), and weaker teams (32 ± 5 winning percentage); individual players were classified based on playing time as important players (28 ± 4 min) or less important players (16 ± 4 min). Seasonal variation was analysed monthly in eight periods. A mixed linear model was applied to identify the effects of team quality and playing time within the months of the season on the previously identified factors and game-related statistics. No significant effect of season period was observed. A team quality effect was identified, with stronger teams being superior in terms of 2-point field-goals and passes. The weaker teams were the worst at defensive rebounding (stronger teams: 0.17 ± 0.05; intermediate teams: 0.17 ± 0.06; weaker teams: 0.15 ± 0.03; P = 0.001). While playing time was significant in almost all variables, errors were the most important factor when contrasting important and less important players, with fewer errors being made by important players. The trends identified can help coaches and players to create performance profiles according to team quality and playing time. However, these performance profiles appear to be independent of season period.

FUIR: Fusing user and item information to deal with data sparsity by using side information in recommendation systems

Recommendation systems adopt various techniques to recommend ranked lists of items to help users in identifying items that fit their personal tastes best. Among various recommendation algorithms, user and item-based collaborative filtering methods have been very successful in both industry and academia. More recently, the rapid growth of the Internet and E-commerce applications results in great challenges for recommendation systems as the number of users and the amount of available online information have been growing too fast. These challenges include performing high quality recommendations per second for millions of users and items, achieving high coverage under the circumstance of data sparsity and increasing the scalability of recommendation systems. To obtain higher quality recommendations under the circumstance of data sparsity, in this paper, we propose a novel method to compute the similarity of different users based on the side information which is beyond user-item rating information from various online recommendation and review sites. Furthermore, we take the special interests of users into consideration and combine three types of information (users, items, user-items) to predict the ratings of items. Then FUIR, a novel recommendation algorithm which fuses user and item information, is proposed to generate recommendation results for target users. We evaluate our proposed FUIR algorithm on three data sets and the experimental results demonstrate that our FUIR algorithm is effective against sparse rating data and can produce higher quality recommendations.

Older people playing ball : what is the risk of falling and injury?

Increasing physical activity amongst seniors is important for public health, yet guidance is needed to minimise injury risks. To describe the incidence of falls/injuries in a walking team ball game (Lifeball) designed for seniors, a prospective cohort study was undertaken amongst community dwelling Lifeball participants in Australia. Players completed a telephone survey soon after commencing Lifeball (2004) and 12 months later (2005). Attendance and incident records were audited for the period. Subjects joined a Lifeball group with opportunity to play at least once per week. Baseline was completed by 284 players aged between 40 and 96 years (mean 67 years), with most (83.8%, 238/284) female. Of 263 followed up, the average attendances was 25, with 19.3% attending on fewer than 4 occasions and 14.3% attending 52 or more times. Most (93.9%) reported no injuries requiring medical attention. However, 16 (6.1%) had injuries requiring medical attention and their 27 injuries represent an injury rate of 3.3 per 1000 hours of participation. Twenty participants (7.6%) had a Lifeball fall equating to a fall rate of 2.8 per 1000 hours of participation. Falls in Lifeball were not associated with measured predictors (age, gender, falls history, perceived falls risk or hours played). Incident records showed a trip/stumble involving rushing, walking backwards, or overextending (all against rules) as common falling causes. Lifeball is not ‘risk free’ however due to a lack of comparative data it is difficult to compare injury rate to relevant activities. Prevention of injury should concentrate on enforcing safety rules.

Optimal communication amongst team members

We present a formal framework based on the theory of game with incomplete information [5] for modelling the coordination and communication problem among team of collaborative agents, and define what it means by optimal communication in this setting. Although computing an optimal communication strategy for the team is hard in general, we illustrate with an example of collaborative negotiation and meeting scheduling that computation can be substantially reduced when domain dependent assumptions are introduced.

A systems analysis method for online teaching and learning systems

A Method for Educational Analysis and Design (MEAD) was developed to analyse and design online teaching and learning systems. The method is based upon a participational design approach focused on the requirements of the users (students)

Family centred care before and during life-sustaining treatment withdrawal in intensive care: a survey of information provided to families by Australasian critical care nurses

BACKGROUND: A core component of family-centred nursing care during the provision of end-of-life care in intensive care settings is information sharing with families. Yet little is known about information provided in these circumstances.

OBJECTIVE: To identify information most frequently given by critical care nurses to families in preparation for and during withdrawal of life-sustaining treatment.

DESIGN: An online cross-sectional survey.

METHODS: During May 2015, critical care nurses in Australia and New Zealand were invited to complete the Preparing Families for Treatment Withdrawal questionnaire. Data analysis included descriptive statistics to identify areas of information most and least frequently shared with families. Cross tabulations with demographic data were used to explore any associations in the data.

RESULTS: From the responses of 159 critical care nurses, information related to the emotional care and support of the family was most frequently provided to families in preparation for and during withdrawal of life-sustaining treatment. Variation was noted in the frequency of provision of information across body systems and their associated physical changes during the dying process. Significant associations (p<0.05) were identified between the variables gender, nursing experience and critical care experiences and some of the information items most and least frequently provided.

CONCLUSIONS: The provision of information during end-of-life care reflects a family-centred care approach by critical care nurses with information pertaining to emotional care and support of the family paramount. The findings of this study provide a useful framework for the development of interventions to improve practice and support nurses in communicating with families at this time.

Managing the requirements engineering process

Process management is a crucial issue in developing information or computer systems. Theories of software development process management suggest that the process should be supported and managed based on what the process really is. However, our learning from an action research study reveals that the requirements engineering (RE) process differs significantly from that which the current literature tends to describe. The process is not a systematic, smooth and incremental evolution of the requirements model, but involves occasional simplification and restructuring of the requirements model. This revised understanding of the RE process suggests a new challenge to both the academic and industrial communities, demanding new process management approaches. In this paper, we present our understanding of the RE process and its implications for process management.

Managing the requirements engineering process

Process management is a crucial issue in developing information or computer systems. Theories of software development process management suggest that the process should be supported and managed based on what the process really is. However, our learning from an action research study reveals that the requirements engineering (RE) process differs significantly from what the current literature tends to describe. The process is not a systematic, smooth and incremental evolution of the requirements model, but involves occasional simplification and restructuring of the requirements model. This revised understanding of the RE process suggests a new challenge to both the academic and industrial communities, demanding new process management approaches. In this paper, we present our understanding of the RE process and its implications for process management.