Can emotion provide a new approach to business model innovation?

Companies require new strategies to drive growth and survival, as the fast pace of change has created the need for greater business flexibility. Therefore, industry leaders are looking to business innovation as a principle source of differentiation and competitive advantage. However, most companies rely heavily on either technology or products to provide business innovation, yet competitors can easily and rapidly surpass these forms of innovation. Business model innovation expands beyond innovation in isolated areas, such as product innovation, to create strategies that incorporate many business avenues to work together to create and deliver value to its customers. Existing literature highlights that a business model’s central role is ‘customer value’. However, the emotional underpinnings of customer value within a business model are not well understood. The integration of customer emotion into business model design and value chain can be viewed as a way to innovate beyond just products, services and processes. This paper investigates the emotional avenues within business strategy and operations, business model innovation and customer engagement. Three propositions are outlined and explored as future research. The significance of this research is to provide companies with a new approach to innovation through a deeper understanding and integration of their customers’ emotions.

From production to purpose : using design led innovation to Build Strategic Potential in a Family-Owned SME

There is an evident need to develop the strategic capabilities of companies from within, to ensure competitive competence in a time where strategy is a necessity. This paper is based on the first 4 months of a longitudinal embedded case study of a family-owned Australian small to medium enterprise, in their journey towards design integration. The first author was embedded as a ‘Design Innovation Catalyst’ to collaborate on overcoming early barriers of strategic development, using design led innovation. Action research methodology, semi-structured interviews with seven out of eight employees and a reflective journal revealed the absence of a shared vision, conflicting drivers and a focus on operational efficiency rather than strategy. Through the Catalyst’s facilitation, a company vision, general awareness, practice and knowledge in strategic development have emerged as the first steps to generating strategic design competence within the firm.

Design led innovation : shifting from smart follower to digital strategy leader in the Australian airport sector

This paper presents and discusses organisational barriers and opportunities arising from the dissemination of design led innovation within a leading Australian airport corporation. This research is part of a greater action research program which aims to integrate design as a strategic capability through design led innovation within Australian businesses. Findings reveal that there is an opportunity to employ the theoretical framework and tools of design led innovation in practice to build collaborative idea generation by involving customers and stakeholders within the proposal of new to world propositions. The iterative gathering of deep customer insights also provided an opportunity to leverage a greater understanding of stakeholders and customers in strengthening continuing business partnerships through co-design. Challenges to the design led approach include resistance to the exploratory nature of gathering deep customer insights, the testing of long held assumptions and market data, and the disruption of an organisational mindset geared toward risk aversion instilled within the aviation industry. The implication from these findings is that design led innovation can provide the critical platform to allow for a business to grow and sustain internal design capabilities necessary to challenge prevailing assumptions about how its business model operates to deliver value to customers and stakeholders alike. The platform of design led innovation also provides an avenue to support a cultural transformation towards anticipating future needs necessary for establishing a position of leadership within the broader economic environment.

Health Information Literacy and the Experience of 65 to 79 Year Old Australians

Information literacy is presented here from a relational perspective, as people’s experience of using information to learn in a particular context. A detailed practical example of such a context is provided, in the health information literacy experience of 65–79 year old Australians. A phenomenographic investigation found five qualitatively distinct ways of experiencing health information literacy: Absorbing (intuitive reception), Targeting (a planned process), Journeying (a personal quest), Liberating (equipping for independence) and Collaborating (interacting in community). These five ways of experiencing indicated expanding awareness of context (degree of orientation towards their environment), source (breadth of esteemed information), beneficiary (the scope of people who gain) and agency (amount of activity), across HIL core aspects of information, learning and health. These results illustrate the potential contribution of relational information literacy to information science.

Integrating Poverty and Gender into Health Programmes : a Source Book for Health Professionals : Module on Curricular Integration

Over the past two to three decades, our understanding of poverty has broadened from a narrow focus on income and consumption to a multidimensional notion of education, health, social and political 1 participation, personal security and freedom and environmental quality. Thus, it encompasses not just low income, but lack of access to services, resources and skills; vulnerability; insecurity; and voicelessness and powerlessness. Multidimensional poverty is a determinant of health risks, health seeking behaviour, health care access and health outcomes. As analysis of health outcomes becomes more refined, it is increasingly apparent that the impressive gains in health experienced over recent decades are unevenly distributed. Aggregate indicators, whether at the global, regional or national level, often tend to mask striking variations in health outcomes between men and women, rich and poor, both across and within countries...

Characterisation and source apportionment of polycyclic aromatic hydrocarbons in the sediments of Brisbane River

The thesis was a step forward in predicting the levels and sources of polycyclic aromatic hydrocarbons (PAHs) in sediments of Brisbane river, especially after the Brisbane floods in 2011. It employed different statistical techniques to provide valuable information that may assist source control and formulation of pollution mitigation measures for the river.

XML clustering and its application to XML transformation

The continuous growth of the XML data poses a great concern in the area of XML data management. The need for processing large amounts of XML data brings complications to many applications, such as information retrieval, data integration and many others. One way of simplifying this problem is to break the massive amount of data into smaller groups by application of clustering techniques. However, XML clustering is an intricate task that may involve the processing of both the structure and the content of XML data in order to identify similar XML data. This research presents four clustering methods, two methods utilizing the structure of XML documents and the other two utilizing both the structure and the content. The two structural clustering methods have different data models. One is based on a path model and other is based on a tree model. These methods employ rigid similarity measures which aim to identifying corresponding elements between documents with different or similar underlying structure. The two clustering methods that utilize both the structural and content information vary in terms of how the structure and content similarity are combined. One clustering method calculates the document similarity by using a linear weighting combination strategy of structure and content similarities. The content similarity in this clustering method is based on a semantic kernel. The other method calculates the distance between documents by a non-linear combination of the structure and content of XML documents using a semantic kernel. Empirical analysis shows that the structure-only clustering method based on the tree model is more scalable than the structure-only clustering method based on the path model as the tree similarity measure for the tree model does not need to visit the parents of an element many times. Experimental results also show that the clustering methods perform better with the inclusion of the content information on most test document collections. To further the research, the structural clustering method based on tree model is extended and employed in XML transformation. The results from the experiments show that the proposed transformation process is faster than the traditional transformation system that translates and converts the source XML documents sequentially. Also, the schema matching process of XML transformation produces a better matching result in a shorter time.

Chemotherapy-induced nausea and vomiting : a review to inform clinical practice

Chemotherapy-induced nausea and vomiting (CINV) is a common sideeffect of cytotoxic treatment and despite the widespread use of anti-emetic medication, it continues to affect a significant proportion of patients with up to 23% and 73% of chemotherapy patients still experiencing vomiting and nausea symptoms, respectively. This is of particular concern in oncology patients as nausea and vomiting may result in malnutrition, decreased quality of life and in extreme cases, treatment stoppage. Therefore, the primary aim of this paper was to inform clinicians on the current literature regarding CINV including its effect on the patient, its pathophysiology, and current treatment options. In addition, this review will also discuss the usage of dietetic interventions as well as less utilised, novel interventions such as oral ginger extracts in the treatment of CINV. In order to address these issues, a systematic literature search was conducted using Pubmed, CINAHL, MEDLINE, Embase, and Health Source (Nursing/Academic Edition). A key finding of this review was that common dietary strategies (e.g. eating slowly, avoiding fatty foods) seem to be solely based on professional opinion as no clinical trials investigating these strategies were identified. In contrast, ginger extracts were found to possess several viable mechanisms that interact with CINV progression including 5-HT3, Substance P and acetylcholine receptor antagonism; anti-inflammatory and antioxidant properties; and gastrointestinal motility and gastric emptying modulation. In conclusion, research investigating dietetic interventions in the management of CINV is sparse and requires further investigation while novel intervention such as ginger, possess multiple mechanisms that may benefit CINV management. This review will discuss the prevalence and significance of CINV, dietetic and novel treatment options, and provide implications for clinical practise and future research.

A Bayesian network approach to modelling temporal behaviour of Lyngbya majuscula bloom initiation

Lyngbya majuscula is a cyanobacterium (blue-green algae) occurring naturally in tropical and subtropical coastal areas worldwide. Deception Bay, in Northern Moreton Bay, Queensland, has a history of Lyngbya blooms, and forms a case study for this investigation. The South East Queensland (SEQ) Healthy Waterways Partnership, collaboration between government, industry, research and the community, was formed to address issues affecting the health of the river catchments and waterways of South East Queensland. The Partnership coordinated the Lyngbya Research and Management Program (2005-2007) which culminated in a Coastal Algal Blooms (CAB) Action Plan for harmful and nuisance algal blooms, such as Lyngbya majuscula. This first phase of the project was predominantly of a scientific nature and also facilitated the collection of additional data to better understand Lyngbya blooms. The second phase of this project, SEQ Healthy Waterways Strategy 2007-2012, is now underway to implement the CAB Action Plan and as such is more management focussed. As part of the first phase of the project, a Science model for the initiation of a Lyngbya bloom was built using Bayesian Networks (BN). The structure of the Science Bayesian Network was built by the Lyngbya Science Working Group (LSWG) which was drawn from diverse disciplines. The BN was then quantified with annual data and expert knowledge. Scenario testing confirmed the expected temporal nature of bloom initiation and it was recommended that the next version of the BN be extended to take this into account. Elicitation for this BN thus occurred at three levels: design, quantification and verification. The first level involved construction of the conceptual model itself, definition of the nodes within the model and identification of sources of information to quantify the nodes. The second level included elicitation of expert opinion and representation of this information in a form suitable for inclusion in the BN. The third and final level concerned the specification of scenarios used to verify the model. The second phase of the project provides the opportunity to update the network with the newly collected detailed data obtained during the previous phase of the project. Specifically the temporal nature of Lyngbya blooms is of interest. Management efforts need to be directed to the most vulnerable periods to bloom initiation in the Bay. To model the temporal aspects of Lyngbya we are using Object Oriented Bayesian networks (OOBN) to create ‘time slices’ for each of the periods of interest during the summer. OOBNs provide a framework to simplify knowledge representation and facilitate reuse of nodes and network fragments. An OOBN is more hierarchical than a traditional BN with any sub-network able to contain other sub-networks. Connectivity between OOBNs is an important feature and allows information flow between the time slices. This study demonstrates more sophisticated use of expert information within Bayesian networks, which combine expert knowledge with data (categorized using expert-defined thresholds) within an expert-defined model structure. Based on the results from the verification process the experts are able to target areas requiring greater precision and those exhibiting temporal behaviour. The time slices incorporate the data for that time period for each of the temporal nodes (instead of using the annual data from the previous static Science BN) and include lag effects to allow the effect from one time slice to flow to the next time slice. We demonstrate a concurrent steady increase in the probability of initiation of a Lyngbya bloom and conclude that the inclusion of temporal aspects in the BN model is consistent with the perceptions of Lyngbya behaviour held by the stakeholders. This extended model provides a more accurate representation of the increased risk of algal blooms in the summer months and show that the opinions elicited to inform a static BN can be readily extended to a dynamic OOBN, providing more comprehensive information for decision makers.

What's in it for me? Virtual conspicuous donation strategies as a source of value in blood donation

Providing an incentive is becoming common practice among blood service organisations. Driven by self-orientated motives rather than pure philanthropic intentions, research is showing that people increasingly want something in return for their support. It is contended that individuals donate conspicuously with the hope it will improve their social standing. Yet there is limited evidence for the effectiveness of conspicuous recognition strategies, and no studies, to the researcher’s knowledge, that have examined conspicuous donation strategies in an online social media context. There is a need to understand what value drives individuals to donate blood, and whether conspicuous donation strategies are a source of such value post blood donation. The purpose of this paper is to conceptualise how conspicuous donation strategies, in the form of virtual badges on social media sites, can be applied to the social behaviour of blood donation, as a value-adding tool, to encourage repeat behaviour.

Investigation of a food poisoning outbreak due to nitrite contained in cooked peanut [一起因食用煮花生米引起亚硝酸盐中毒的调查报告]

Two workers were hospitalised with similar symptoms. Information was gathered from patients, doctors, colleagues and food seller. Laboratory tests were undertaken on remaining food and vomits. We identified the source food and toxin responsible for this outbreak, and subsequently helped doctors to treat these patients. The intake was estimated to be over the fatal limit but both were fully recovered after treatment. Abstract in Chinese 2001年11月20日，寿光市植物油厂的2名装卸工人因食用花生米引起亚硝酸盐急性中毒，现报告如下。 1 中毒经过 11月20日下午，市植物油厂装卸工人秦×下班后，到本厂职工食堂买了馒头、大米稀饭和少许咸菜，然后到厂外买了1瓶白酒，又到个体菜摊李×处买了2元钱的煮花生米，约400g。17：40与同事江×一同在宿舍内饮酒吃饭，其中花生米大部分被秦×吃掉，江×吃得少。18：30左右秦×在装卸过程中出现双腿发软、恶心、呕吐、呼吸困难、视物模糊，江×随后也出现类似症状，2人被迅速送往寿光市人民医院进行抢救。到医院时已进入昏迷状态，查体可见全身皮肤粘膜青紫、手指脚趾发黑，经吸氧并心电监护、应用美兰静推后，江×症状减轻，于次日出院；秦×因中毒严重，于次日脱离危险，11月23日痊愈出院。……

An outbreak of salmonellosis linked to a marine turtle

In September 1998, an outbreak of gastroenteritis occurred in a coastal Aboriginal community in the Northern Territory over a seven day period. An investigation was conducted by the Center for Disease Control, Territory Health Services. Thirty-six cases were detected and 17% (n=6) were hospitalized. Salmonella chester was isolated from eight of nine stool specimens. Sixty-two percent of cases interviewed (n=28) reported consumption of a green turtle (Chelonia mydas) within a median of 24 hours prior to onset of illness. Of the remainder, all but two were contacts of other cases. Salmonella chester was isolated from a section of partially cooked turtle meat. There are no previous published reports of salmonellosis associated with consumption of sea turtles despite them being a popular food source in coastal communities in the Pacific.

An outbreak of salmonellosis linked to a marine turtle

On 18 September 1998 the Centre for Disease Control (CDC), Darwin was notified of an outbreak of gastroenteritis predominantly affecting adults in a Top End coastal community. There had been no previous presentations to the community clinic in the month of September with vomiting or diarrhoea. On 14 September, a green turtle (Chledonia mydas) was cooked and distributed throughout the community. Water collected from a water hole near the community (known as the aerator) was used as drinking water at the cook site and to cook the meat. In addition, there were reports that kava, a plant derived tranquilliser,1 had been consumed the night before using water from the same source. An investigation was conducted to determine the aetiology and source and to instigate prevention and control measures.

Source apportionment of airborne particulate matter : an overview of Australian and New Zealand studies

Despite the existence of air quality guidelines in Australia and New Zealand, the concentrations of particulate matter have exceeded these guidelines on several occasions. To identify the sources of particulate matter, examine the contributions of the sources to the air quality at specific areas and estimate the most likely locations of the sources, a growing number of source apportionment studies have been conducted. This paper provides an overview of the locations of the studies, salient features of the results obtained and offers some perspectives for the improvement of future receptor modelling of air quality in these countries. The review revealed that because of its advantages over alternative models, Positive Matrix Factorisation (PMF) was the most commonly applied model in the studies. Although there were differences in the sources identified in the studies, some general trends were observed. While biomass burning was a common problem in both countries, the characteristics of this source varied from one location to another. In New Zealand, domestic heating was the highest contributor to particle levels on days when the guidelines were exceeded. On the other hand, forest back-burning was a concern in Brisbane while marine aerosol was a major source in most studies. Secondary sulphate, traffic emissions, industrial emissions and re-suspended soil were also identified as important sources. Some unique species, for example, volatile organic compounds and particle size distribution were incorporated into some of the studies with results that have significant ramifications for the improvement of air quality. Overall, the application of source apportionment models provided useful information that can assist the design of epidemiological studies and refine air pollution reduction strategies in Australia and New Zealand.

Atmospheric particles as a pollutant source in the urban water environment in Sri Lanka – current research trends and future directions

Human and ecosystem health impacts imposed by water pollution are a major problem in the urban areas of Sri Lanka. A primary source of pollutants to urban water sources is atmospheric particles. Hence, it is important to develop a detailed understanding of atmospheric particle characteristics, their sources of origin and the transport pathways. Several research studies have been conducted in Sri Lanka on atmospheric pollution and these studies have tended to differ in their scope, study region and the investigated pollutants. The objectives of this paper are: (1) to report the outcomes of a detailed state-of-art literature review of atmospheric pollution related studies in Sri Lanka to understand the current trends and (2) to discuss the future research activities necessary to generate the important knowledge required for the development of effective strategies to control the adverse impacts of atmospheric pollution on urban waterways.