988 resultados para Business travel


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1.Description of the Work The Fleet Store was devised as a creative output to establish an exhibition linked to a fashion business model where emerging designers were encouraged to research new and innovative strategies for creating design-driven and commercial collections for a public consumer. This was a project that was devised to break down the perceptions of emerging fashion designers that designing commercial collections linked to a sustainable business model is a boring and unnecessary process. The focus was to demystify the business of fashion and to link its importance to a design-driven and public outcome that is more familiar to fashion designers. The criterion for participation was that all designers had to be registered as a business with the Australian Taxation Office. Designers were chosen from the Creative Enterprise Australia Fashion Business Incubator, the QUT fashion graduate alumni and current QUT fashion design and double degree (fashion and business) students with existing businesses. The project evolved from a series of collaborative workshops where designers were introduced to new and innovative creative industries’ business models and the processes, costings and timings involved to create a niche, sustainable business for a public exhibition of design-driven commercial collections. All designers initiated their own business infra-structure but were then introduced to the concept of collaboration for successful and profitable exhibition and business outcomes. Collaborative strategies such as crowd funding, crowd sourcing, peer to peer mentoring and manufacturing were all researched, and strategies for the establishment of the retail exhibition were all devised in a collaborative environment. All participants also took on roles outside their ‘designer’ background to create a retail exhibition that was creative but also had critical mass and aesthetic for the consumer. The Fleet Store ‘popped up’ for 2 weeks (10 days), in a heritage-listed building in an inner city location. Passers-by were important, but the main consumer was enlisted by the use of interest and investment from crowd sourcing, crowd funding, ethical marketing, corporate social responsibility projects and collaborative public relations and social media strategies. The research has furthered discussion on innovative strategies for emerging fashion designers to initiate and maintain sustainable businesses and suggests that collaboration combined with a design-driven and business focus can create a sustainable and economically viable retail exhibition. 2. Research Statement Research Background The research field involved developing a new ethical, design-driven, collaborative and sustainable model for fashion design practice and management. The research asked can a public, design-driven, collaborative retail exhibition create a platform for promoting creative, innovative and sustainable business models for emerging fashion designers. The methodology was primarily practice-led as all participants were designers in their own right and the project manager acted as a mentor and curator to guide the process and analyse the potential of the research question. The Fleet Store offers new knowledge in design practice and management; with the creation of a model where design outcomes and business models are inextricably linked to the success of the creative output. Key innovations include extending the commercialisation of emerging fashion businesses by creating a curated retail gallery for collaborative and sustainable strategies to support niche fashion designer labels. This has contributed to a broader conversation on how to nurture and sustain competitive Australian fashion designers/labels. Research Contribution and Significance The Fleet Store has contributed to a growing body of research into innovative and sustainable business models for niche fashion and creative industries’ practitioners. All participants have maintained their business infra-structure and many are currently growing their businesses, using the strategies tested for the Fleet Store. The exhibition space was visited by over 1,000 people and sales of $27,000 were made in 10 days of opening. (Follow up sales of $3,000 has also been reported.) Three of the designers were ‘discovered’ from the exhibition and have received substantial orders from high profile national buyers and retailers for next season delivery. Several participants have since collaborated to create other pop up retail environments and are now mentoring other emerging designers on the significance of a collaborative retail exhibition to consolidate niche business models for emerging fashion designers.

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My concern in this commentary is the discrepancy between cultural psychologists' theoretical claims that meanings are co-constructed by, with and for individuals in ongoing social interaction, and their research practices where researcher's and research participant's meaning-making processes are separated in time into sequential turns. I argue for the need to live up to these theoretical assumptions, by making both the initial research encounter and the researcher's later interpretation process more co-constructive. I suggest making the initial research encounter more co-constructive by paying attention to these moments when the negotiated flow of interaction between researcher and research participant breaks down, for it allows the research participant's meaning-making to be traced and makes the researcher's efforts towards meaning more explicit. I propose to make the later interpretation process more co-constructive by adopting a more open-ended and dialogical way of writing that is specifically addressed to research participants and invites them to actively engage with researcher's meaning-making.

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This series of research vignettes is aimed at sharing current and interesting research findings from our team of international Entrepreneurship researchers. In this vignette, Christophe Garonne and Per Davidsson examine the value of business planning for business start-ups.

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The competent leadership and governance of digital transformation needs to involve the board of directors. The reported lack of such capability in boards is becoming a pressing issue. Underpinning leadership in such transformation are the competencies to effectively govern Enterprise Technology (ETG). In this paper we take the position that ETG competencies are essential in boards because competent enterprise business technology governance has been shown to contribute to increased revenue, profit, and returns. We report the industry validation processes of a set of three board-of-director competencies needed for effective ETG related to strategy and planning; investment and risk; and, innovation and value creation. We conclude that gaps in board ETG competence remain.

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On 21 September 1999 Division 152 was inserted into the Income Tax Assessment Act (1997) (ITAA 1997). Division 152 contains the small business CGT concessions, which enables eligible small business taxpayers to reduce the amount of tax payable on capital gains arising from certain CGT events that occur after 11:45 am on 21 September 1999. One of the principal objectives of the legislation is to provide a concessionary regime for small business owners who do not have the same ability to access the concessionary superannuation regime generally available to employees. When announcing the introduction of the concessions the then Federal Treasurer, Mr Peter Costello, specifically stated that the objective of Division 152 was to provide ‘small business people with access to funds for retirement or expansion’. The purpose of this article is to: one, assess the extent to which small business taxpayers understand the CGT small business concessions, particularly when considering the sale of their business; two, determine which of the four small business CGT concessions are most commonly adopted and/or recommended by tax practitioners to clients; and three, to determine whether the superannuation changes in relation to the capping of the concessional superannuation thresholds have had an impact on the use of the small business retirement concession.

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Smart Card Automated Fare Collection (AFC) data has been extensively exploited to understand passenger behavior, passenger segment, trip purpose and improve transit planning through spatial travel pattern analysis. The literature has been evolving from simple to more sophisticated methods such as from aggregated to individual travel pattern analysis, and from stop-to-stop to flexible stop aggregation. However, the issue of high computing complexity has limited these methods in practical applications. This paper proposes a new algorithm named Weighted Stop Density Based Scanning Algorithm with Noise (WS-DBSCAN) based on the classical Density Based Scanning Algorithm with Noise (DBSCAN) algorithm to detect and update the daily changes in travel pattern. WS-DBSCAN converts the classical quadratic computation complexity DBSCAN to a problem of sub-quadratic complexity. The numerical experiment using the real AFC data in South East Queensland, Australia shows that the algorithm costs only 0.45% in computation time compared to the classical DBSCAN, but provides the same clustering results.

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There is consensus among practitioners and academics that culture is a critical factor that is able to determine success or failure of BPM initiatives. Yet, culture is a topic that seems difficult to grasp and manage. This may be the reason for the overall lack of guidance on how to address this topic in practice. We have conducted in-depth research for more than three years to examine why and how culture is relevant to BPM. In this chapter, we introduce a framework that explains the role of culture in BPM. We also present the relevant cultural values that compose a BPM culture, and we introduce a tool to examine the supportiveness of organizational cultures for BPM. Our research results provide the basis for further empirical analyses on the topic and support practitioners in the management of culture as an important factor in BPM initiatives.

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Over 800 cities globally now offer bikeshare programs. One of their purported benefits is increased physical activity. Implicit in this claim is that bikeshare replaces sedentary modes of transport, particularly car use. This paper estimates the median changes in physical activity levels as a result of bikeshare in the cities of Melbourne, Brisbane, Washington, D.C., London, and Minneapolis/St. Paul. This study is the first known multi-city evaluation of the active travel impacts of bikeshare programs. To perform the analysis, data on mode substitution (i.e. the modes that bikeshare replaces) were used to determine the extent of shift from sedentary to active transport modes (e.g. when a car trip is replaced by bikeshare). Potentially offsetting these gains, reductions in physical activity when walking trips are replaced by bikeshare was also estimated. Finally a Markov Chain Monte Carlo analysis was conducted to estimate confidence bounds on estimated impacts on active travel given uncertainties in data sources. The results indicate that on average 60% of bikeshare trips replace sedentary modes of transport (from 42% in Minneapolis/St. Paul to 67% in Brisbane). When bikeshare replaces a walking trip, there is a reduction in active travel time because walking a given distance takes longer than cycling. Considering the active travel balance sheet for the cities included in this analysis, bikeshare activity in 2012 has an overall positive impact on active travel time. This impact ranges from an additional 1.4 million minutes of active travel for the Minneapolis/St. Paul bikeshare program, to just over 74 million minutes of active travel for the London program The analytical approach adopted to estimate bikeshare’s impact on active travel may act as the basis for future bikeshare evaluations or feasibility studies.

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Business processes are prone to continuous and unexpected changes. Process workers may start executing a process differently in order to adjust to changes in workload, season, guidelines or regulations for example. Early detection of business process changes based on their event logs – also known as business process drift detection – enables analysts to identify and act upon changes that may otherwise affect process performance. Previous methods for business process drift detection are based on an exploration of a potentially large feature space and in some cases they require users to manually identify the specific features that characterize the drift. Depending on the explored feature set, these methods may miss certain types of changes. This paper proposes a fully automated and statistically grounded method for detecting process drift. The core idea is to perform statistical tests over the distributions of runs observed in two consecutive time windows. By adaptively sizing the window, the method strikes a trade-off between classification accuracy and drift detection delay. A validation on synthetic and real-life logs shows that the method accurately detects typical change patterns and scales up to the extent it is applicable for online drift detection.

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This paper addresses the problem of identifying and explaining behavioral differences between two business process event logs. The paper presents a method that, given two event logs, returns a set of statements in natural language capturing behavior that is present or frequent in one log, while absent or infrequent in the other. This log delta analysis method allows users to diagnose differences between normal and deviant executions of a process or between two versions or variants of a process. The method relies on a novel approach to losslessly encode an event log as an event structure, combined with a frequency-enhanced technique for differencing pairs of event structures. A validation of the proposed method shows that it accurately diagnoses typical change patterns and can explain differences between normal and deviant cases in a real-life log, more compactly and precisely than previously proposed methods.

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This research quantifies traffic congestion and travel time reliability with case study on a major arterial road in Brisbane. The focus is on the analysis of impact of incidents (e.g., road accidents) on travel time reliability. Real traffic (Bluetooth) and incident records from Coronation Drive, Brisbane are utilized for the study. The findings include significant impact of incidents on traffic congestion and travel time reliability. The knowledge gained is useful in various applications such as traveler information systems, and cost-benefit analysis of various strategies to reduce the traffic incidents and its' impacts.

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Process improvement and innovation are risky endeavors, like swimming in unknown waters. In this chapter, I will discuss how process innovation through BPM can benefit from Research-as-a-Service, that is, from the application of research concepts in the processes of BPM projects. A further subject will be how innovations can be converted from confidence-based to evidence-based models due to affordances of digital infrastructures such as large-scale enterprise soft-ware or social media. I will introduce the relevant concepts, provide illustrations for digital capabilities that allow for innovation, and share a number of key takeaway lessons for how organizations can innovate on the basis of digital opportunities and principles of evidence-based BPM: the foundation of all process decisions in facts rather than fiction.

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Many organizations realize that increasing amounts of data (“Big Data”) need to be dealt with intelligently in order to compete with other organizations in terms of efficiency, speed and services. The goal is not to collect as much data as possible, but to turn event data into valuable insights that can be used to improve business processes. However, data-oriented analysis approaches fail to relate event data to process models. At the same time, large organizations are generating piles of process models that are disconnected from the real processes and information systems. In this chapter we propose to manage large collections of process models and event data in an integrated manner. Observed and modeled behavior need to be continuously compared and aligned. This results in a “liquid” business process model collection, i.e. a collection of process models that is in sync with the actual organizational behavior. The collection should self-adapt to evolving organizational behavior and incorporate relevant execution data (e.g. process performance and resource utilization) extracted from the logs, thereby allowing insightful reports to be produced from factual organizational data.

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Mismatches between services needing to interoperate have been addressed through the adaptation of structural and behavioural interfaces of services, which in practice incur long lead time through manual, coding effort. We propose a framework, complementary to con- ventional service adaptation, to synthesise service interfaces in the open setting of business networks, allowing consumers to introspect service interfaces and formulate service invocations. The framework also allows evolved service requests, as new features of service capabilities are discov- ered, through interactions with other, similar services. Finally the frame- work fosters reuse of adaptation efforts through normalisation of struc- tural and behavioural interfaces of similar services. This paper provides a first exposition of the service interface synthesis framework, describing patterns containing novel requirements for unilateral service adaptation and detailing the interface synthesis technique. Complex examples of ser- vices drawn from commercial logistic systems are then used to validate the synthesis technique and identify open challenges and future research directions.