Convergence's fundamental question

This paper asks the fundamental question of whether editorial managers and journalists are embracing convergence for business reasons or to do better journalism. Media organizations around the world are adopting various forms of convergence, and along the way embracing a range of business models. Several factors are influencing and driving the adoption of convergence—also known as multiple-platform publishing. Principal among them are the media's desire to reach as wide an audience as possible, consumers who want access to news in a variety of forms and times (news 24-7), and editorial managers' drive to cut costs. The availability of relatively cheap digital technology facilitates the convergence process. Many journalists believe that because that technology makes it relatively easy to convert and distribute any form of content into another, it is possible to produce new forms of storytelling and consequently do better journalism. This paper begins by defining convergence (as much as it is possible to do so) and describing the competing models. It then considers the environments that lead to easy introduction of convergence, followed by the factors that hinder it. Examples of converged media around the world are provided, and suggestions offered on how to introduce convergence. The paper concludes that successful convergence satisfies the twin aims of good journalism and good business practices.

Intersection of ideals : journalism, profits, technology and convergence

Journalism needs advertising and advertising needs journalism: advertising pays for good reporting just as good reporting attracts customers for advertising. Problems arise when the equation becomes unbalanced, such as during the recessions in the early part of the twenty-first century. This paper asks the key question of whether editorial managers and journalists are embracing convergence at this time for business reasons or to do better journalism. It begins from the perspective that media organisations around the world are adopting various forms of convergence, and along the way embracing a range of business models. Several factors are influencing and driving the adoption of convergence - also known as multiple-platform publishing. Principal among them are the media's desire to reach as wide an audience as possible, consumers who want access to news in a variety of forms and times (news 24/7), and editorial managers' drive to cut costs. The availability of relatively cheap digital technology facilitates the convergence process. Many journalists believe that because that technology makes it relatively easy to convert and distribute any form of content into another, it is possible to produce new forms of storytelling and consequently do better journalism. This paper begins by defining convergence (as much as it is possible to do so) and describing the key competing models. It then considers the environments that lead to easy introduction of convergence, followed by the factors that hinder it. Examples of converged media around the world are provided, and suggestions offered on how to introduce convergence. The paper concludes that successful convergence satisfies the twin aims of good journalism and good business practices.

Better journalism or better profits? A key convergence issue in an age of concentrated ownership

Convergence has become an accepted form of journalism at media organisations around the world. These organisations are adopting a range of business models to find ways to pay for these innovations. The main drivers behind this radical change in media production are consumers' changing media habits, cheaper digital technology, and the disruptive forces that these two drivers generate. Technology also makes possible new forms of storytelling, which potentially allows journalists the chance to do better journalism through convergence. This article focuses on the key issue of whether editorial managers and journalists are embracing convergence to save money, or to do better journalism. It begins by defining convergence (while accepting the wide variety of definitions) and describing two main models of implementation. It then considers the factors that lead to easy introduction of convergence followed by the factors that hinder its introduction. Examples are provided of converged media around the world. This article ends with a warning about the dangers for democracy of misapplied convergence in an era of increasing concentration of ownership.

A neural networks learning algorithm for minor component analysis and its convergence analysis

The eigenvector associated with the smallest eigenvalue of the autocorrelation matrix of input signals is called minor component. Minor component analysis (MCA) is a statistical approach for extracting minor component from input signals and has been applied in many fields of signal processing and data analysis. In this letter, we propose a neural networks learning algorithm for estimating adaptively minor component from input signals. Dynamics of the proposed algorithm are analyzed via a deterministic discrete time (DDT) method. Some sufficient conditions are obtained to guarantee convergence of the proposed algorithm.

Work choices : Increasing productivity, job creation and work-family balance? Not likely!

The introduction of the Workplace Relations (Work Choices) Amendment Act 2005 (Cth) has resulted in one of the most contentious changes to federal labour law in Australia’s history. There is considerable debate as to whether it has fulfilled the government’s expectations of giving ‘flexibility’ and ‘choice’ to both employees and employers or if there has been an overall deterioration in working conditions. In order to identify the impact of this legislation in the workplace, Deakin University surveyed 11,000 AHRI members throughout Australia. Preliminary results are reported in the paper but, even at this early stage, there is sufficient material to critically comment upon the changes to Australia’s industrial relations system. It appears that the vast majority of AHRI members felt that there had been no change in productivity, job creation or work-family balance and that only a few expected an improvement over the next 3 years.

Indoor environment quality and occupant productivity in the CH2 building

This paper presents a summary of the results from a post-occupancy evaluation study on indoor environment quality (lEO) and occupant health, wellbeing and productivity in the Council House 2 (CH2) building, which is owned and occupied by the City of Melbourne. This case study has highlighted that the productivity of office building occupants can potentially be enhanced through good building design, and provision of a high quality, healthy, comfortable and functional interior environment, that takes account of basic occupant needs.

Productivity differential and the relationship between exports and GDP in Fiji : an empirical assessment using the two sector model

This study uses a two-sector model to determine the productivity differential between the export and non-export sectors of Fiji, and the contribution of exports and investment to gross domestic product over the period 1962-2000. Amongst our key results, we find that the productivity differential between the export and non-export sectors is small and statistically insignificant; investment to GDP ratio and weighted exports positively contribute to economic growth in Fiji; and in the abnormal years (years of coups in Fiji) marginal productivity in capital in the non-export sector is lower than in normal years.

Productivity growth and efficiency change in Malaysian manufacturing : recent evidence from disaggregated data

This paper estimates productivity growth in Malaysian manufacturing over the period 1983-1999. Malmquist productivity Indices (MPIs) have been computed using non parametric Data Envelopment Analysis (DEA) type linear programming, which show productivity growth sourced from efficiency change and growth in technology. Unlike previous studies, this study identifies the Malaysian manufacturing industries at the five digit breakdown of Malaysian Standard Industrial Classification (MSIC) thereby revealing more industry specific efficiency and technical growth patterns. Results indicate that two third of the industries (76 out of total 114 categories) experienced average annual
productivity improvement ranging from 0.1% to 7.8% over the sampled period. Average annual technical progress was recorded by 95 industry categories while technical efficiency improvement was achieved by 53 industries. Overall yearly average indicated relatively low productivity growth from the mid 1990’s onwards caused by either efficiency decline or technical regress. Summary results for industries reveal that some of the high rates of productivity growth have been recorded in glass and glass products (7.3%), Petroleum and coal (7.2%), industrial chemicals (4.9%) contributed from both efficiency improvement and technical progress ranging from 0.8% to 5.4% and from 1.7% to 4.1%, respectively. These results are expected to have some implications for ongoing and future strategic policy reform in Malaysian manufacturing generating a more sustainable growth for specific industry categories.

Stability and convergence analysis of transform-domain LMS adaptive filters with second-order autoregressive process

In this paper, the stability and convergence properties of the class of transform-domain least mean square (LMS) adaptive filters with second-order autoregressive (AR) process are investigated. It is well known that this class of adaptive filters improve convergence property of the standard LMS adaptive filters by applying the fixed data-independent orthogonal transforms and power normalization. However, the convergence performance of this class of adaptive filters can be quite different for various input processes, and it has not been fully explored. In this paper, we first discuss the mean-square stability and steady-state performance of this class of adaptive filters. We then analyze the effects of the transforms and power normalization performed in the various adaptive filters for both first-order and second-order AR processes. We derive the input asymptotic eigenvalue distributions and make comparisons on their convergence performance. Finally, computer simulations on AR process as well as moving-average (MA) process and autoregressive-moving-average (ARMA) process are demonstrated for the support of the analytical results.

Job satisfaction versus office environment : influences on academic knowledge worker productivity

This research paper provides a more encompassing review of self-assessment of a variety of knowledge worker activities, as well as providing the basis for these self assessments. A novel aspect is the inclusion of motivational affects which are considered alongside work environment influences on productivity. A questionnaire was administered on 25 academics. The group was questioned for their perceptions of their productivity for a range of their everyday activities and what areas of their work environment enhanced or disrupted their productivity. Job satisfaction was also assessed. The results from a series of self-assessments show that on the whole, the sample perceive themselves to be reasonably to very productive in all tasks undertaken. Staff satisfaction measures are generally very positive with collaboration and job enjoyment being motivational factors for this group. Noise levels, thermal conditions, poor lighting and a lack of storage seem to be the biggest inhibitors of productivity. Having a window to look out of and access to natural light seem to enhance an academics view of their productivity.

Envelopment methodology to measure and compare subcontractor productivity at the firm level

This paper describes a conceptual approach to measure and compare productivity of resource utilization at the firm level, adapting a set of techniques known as Data Envelopment Analysis (DEA). Within this approach, the paper addresses the issues of multiple inputs and multiple outputs of a construction firm, level of detail for data collection, and the required transformations to correct for differences among projects. In particular, we focus on the resource management of subcontractors. Subcontractors manage multiple, concurrent projects and must allocate limited resources across these projects. Interaction between projects and resource allocation creates non-linear effects, and therefore the productivity of the firm is not simply the productivity of its projects. The proposed measurement methodology will allow assessment of the impact of different management policies (including many of those proposed by lean construction researchers) on firm performance. It is hoped that this novel approach to productivity measurement will help subcontractors identify efficient practices and superior management policies, and will promote adoption of these policies.