Limitations of market driven sustainability : the case of environmental management systems for food production in Australia

Environmental Management Systems (EMSs) address environmental risks in supply chains and certification of environmental claims. Governments supporting EMSs have encouraged producers to respond to anticipated consumer environmental concerns. Attempts at implementing EMSs have rarely been in direct response to market demand but are usually farmer organisation driven – to forestall increased regulation. In Australia, consumer demand for foods produced to environmentally sustainable standards is minimal because consumers don’t believe these products offer special benefits. EMS implementation is expensive and onerous; and the products require a market premium. Food consumers have difficulty differentiating the terms organic, environmentally-friendly, and sustainably-produced in food labelling.

Market analysis study of the value technology systems to home owners

Smart Technology involves the integration of a variety of home systems including lighting, climate control, security etc. to enhance the comfort, convenience and economy of the home for its users. It is currently unknown if home buyers believe that these systems add value to the home. This study used the market value of home sales and an attitudinal survey of home buyers, to determine the increased value of homes containing Smart Technology. The results demonstrated that a significant price premium was paid by for the incorporation of the technology into new homes. In addition, the research suggests that the use of this technology is not limited to high income earners or other demographic stereotypes. Instead it has broad market appeal and the potential to save energy for the community at large.

A market-oriented hierarchical scheduling strategy in cloud workflow systems

A cloud workflow system is a type of platform service which facilitates the automation of distributed applications based on the novel cloud infrastructure. One of the most important aspects which differentiate a cloud workflow system from its other counterparts is the market-oriented business model. This is a significant innovation which brings many challenges to conventional workflow scheduling strategies. To investigate such an issue, this paper proposes a market-oriented hierarchical scheduling strategy in cloud workflow systems. Specifically, the service-level scheduling deals with the Task-to-Service assignment where tasks of individual workflow instances are mapped to cloud services in the global cloud markets based on their functional and non-functional QoS requirements; the task-level scheduling deals with the optimisation of the Task-to-VM (virtual machine) assignment in local cloud data centres where the overall running cost of cloud workflow systems will be minimised given the satisfaction of QoS constraints for individual tasks. Based on our hierarchical scheduling strategy, a package based random scheduling algorithm is presented as the candidate service-level scheduling algorithm and three representative metaheuristic based scheduling algorithms including genetic algorithm (GA), ant colony optimisation (ACO), and particle swarm optimisation (PSO) are adapted, implemented and analysed as the candidate task-level scheduling algorithms. The hierarchical scheduling strategy is being implemented in our SwinDeW-C cloud workflow system and demonstrating satisfactory performance. Meanwhile, the experimental results show that the overall performance of ACO based scheduling algorithm is better than others on three basic measurements: the optimisation rate on makespan, the optimisation rate on cost and the CPU time.

Neutrosophic information fusion applied to the options market

In this paper we basically make two propositions - firstly a non-linear process that is primarily fuelled by mass cognitive dissonance could generate systematic deviations between the theoretical and market prices of long-term options, and secondly such deviations are best reconciled in terms of neutrosophic rather than ruled-based reasoning, especially in the context of the users of automated trading systems designed to generate trading signals based on analysis of information  from conflicting sources.

Analysis of stakeholder concerns with a view to avoid organisational conflict in B2B systems

In recent years there has been a remarkable increase in information exchange between organizations due to changes in market structures and new forms of business relationships. The increase in the volume of business-to-business (B2B) transactions has contributed significantly to the expanding need for electronic systems that could effectively support communication between collaborating organizations. Examples of such collaborating systems include those that offer various types of business-to-business services, e.g. electronic commerce, electronic procurement systems, electronic links between legacy systems, or outsourced systems providing data processing services via electronic media. Development and running of B2B electronic systems has not been problem free. One of the most intractable issues found in B2B systems is the prevalence of inter-organisational conflict reported to exist and persists between the participants of interorganisational electronic networks. There have been very few attempts, however, to prescribe any practical method of detecting the antecedents of such conflict early in B2B development to facilitate smooth construction and the subsequent operation of B2B services. The research reported in this paper focuses on the identification and analysis of antecedent conflict in a joint process involving different organizations in a B2B venture. The proposed method involves identification of domain stakeholders, capturing and packaging their views and concerns into a reusable form, and the application of captured domain experience in B2B systems development. The concepts and methods introduced in this paper have been illustrated with examples drawn from our study of six web-enabled payroll systems.

Differences in the role of market research and internal CRM according to strategy type

The traditional or conventional role of market research is one of enabling marketing managers to make informed decisions about key strategic issues and likewise reduce chances of poor strategic decisions. (Hamlin, 2000; Raguragavan et al., 2000) Yet recent literature suggests marketing research is becoming marginalized in supporting strategic decisionmaking. (Weber, 2001) In addition internal CRM is emerging as a viable source of aggregated customer intelligence (Malhotra and Peterson, 2001). Very few studies have explored the contingent role business strategy may have in explaining either the changing role of market research or the emergence of internal CRM systems. This study involved a cross-industry postal survey of 240 Australian marketing managers. One contribution of this study was to find market research having a greater role in supporting productivity and political outcomes for Prospector strategies when compared to both Defender and Analyzer strategies. The findings also showed Prospector strategies to have more sophisticated internal CRM systems than Defender strategies.

Differences between differentiators and cost leaders in market research and internal CRM usage

The Porter strategy types of Differentiation and Cost Leadership are put forward as strategies leading to competitive advantage (Porter 1980). These types have quite contrasting implementation guidelines in terms of human resources, organisational structure, job design decision-making process, control systems, and information systems. These internal contrasts suggest Differentiators and Cost Leaders require contrasting roles for market research and internal CRM systems. Very few studies have explored the contingent role business strategy may have in explaining contrasting roles in marketing information systems or market research.

This study involved a cross-industry postal survey of 240 Australian marketing managers. One contribution of this study was to find market research having quite different roles in supporting Marketing (i.e. brand) Differentiators compared to Product (i.e. innovative feature) Differentiators. Surprisingly only one market research role differed when comparing Cost Leaders with Marketing Differentiator strategies. A final contribution was to find that no one strategy having a greater reliance on internal CRM systems in supporting decisionmaking.

The health equity dimensions of urban food systems

There is increasing recognition that the nutrition transition sweeping the world’s cities is multifaceted. Urban food and nutrition systems are beginning to share similar features, including an increase in dietary diversity, a convergence toward “Western-style” diets rich in fat and refined carbohydrate and within-country bifurcation of food supplies and dietary conventions. Unequal access to the available dietary diversity, calories, and gastronomically satisfying eating experience leads to nutritional inequalities and diet-related health inequities in rich and poor cities alike. Understanding the determinants of inequalities in food security and nutritional quality is a precondition for developing preventive policy responses. Finding common solutions to under- and overnutrition is required, the first step of which is poverty eradication through creating livelihood strategies. In many cities, thousands of positions of paid employment could be created through the establishment of sustainable and self-sufficient local food systems, including urban agriculture and food processing initiatives, food distribution centers, healthy food market services, and urban planning that provides for multiple modes of transport to food outlets. Greater engagement with the food supply may dispel many of the food anxieties affluent consumers are experiencing.

The impact of Porter's strategy types on the role of market research and customer relationship management

Purpose – This paper seeks to investigate the influence of Porter’s strategy types on the use of customer relationship management (CRM) techniques and traditional market research, against theoretical and empirical evidence that differences in strategy types may result in variation in favoured marketing information sources and procedure.

Design/methodology/approach – Depth interviews generated a series of scale items, which were combined with others derived from the literature in a questionnaire measuring strategy types, the roles of market research, and the characteristics of CRM systems. Responses were obtained from 240 senior marketing managers in Australia, and applied to the testing of five research propositions.

Findings – ANOVA found no differences in CRM usage among the strategy types. Variation was widespread, however, in four roles of traditional market research: enhancing strategic decision making, increasing usability of existing data, presenting plans to senior management, and achieving productivity and political outcomes.

Research limitations/implications – Future researchers using the Porter strategic types should separate “marketing differentiators” from “product differentiators” because they function and compete differently.

Practical implications – All organisations can benefit from CRM systems, but “marketing differentiators” exhibit a relatively higher usage of traditional market research. This is likely to be because they compete by creating softer product differences, while others do so on harder characteristics such as price or product functionality.

Originality/value – This is the first study to use the Porter types to explain differences between the roles and uses of market research and CRM within organisations.

Australian forex market anaylsis using connectionist models

The need for intelligent monitoring systems has become a necessity to keep track of the complex forex market. The forex market is difficult to understand by an average individual. However, once the market is broken down into simple terms, the average individual can begin to understand the foreign exchange market and use it as a financial instrument for future investing. This paper is an attempt to compare the performance of a Takagi-Sugeno type neuro-fuzzy system and a feed forward neural network trained using the scaled conjugate gradient algorithm to predict the average monthly forex rates. The exchange values of Australian dollar are considered with respect to US dollar, Singapore dollar, New Zealand dollar, Japanese yen and United Kingdom pound. The connectionist models were trained using 70% of the data and remaining was used for testing and validation purposes. It is observed that the proposed connectionist models were able to predict the average forex rates one month ahead accurately. Experiment results also reveal that neuro-fuzzy technique performed better than the neural network.

Do food regulatory systems protect public health?

The purpose of this commentary is to consider the extent to which food regulatory systems protect public health, and how a better job could be done. There are fundamental questions about the role of food regulations in responding to changes in food systems and to food-related public health issues. What is meant by the objective ‘to protect public health and safety’ in the context of food regulation? Are current systems well balanced between promoting trade and protecting health? What is the role of nutrition in food regulation? Should food regulation be used to promote as well as to protect public health? Should laws and regulations be used to intervene in the formulation and marketing of foods, or should ‘the market’ merely provide more choices and information for shoppers and consumers to select healthy diets?

Integration of market research and customer analytics : a study of CRM manager perspectives

The study examined key relationships between two overlapping customer knowledge systems, Market Research (MR) and Customer Analytics (CA). Their integration can provide valuable new marketing insights. However a survey of 286 US CRM and CA managers showed that many companies do not fully integrate MR and CA. Organisations with a Prospector strategic orientation were more likely to integrate the two and judge the CA system a success. Trust between the two functions enhanced knowledge integration. This in turn was shown to make a strong contribution to the value of CA and a modest indirect contribution to firm success.

The alignment of market research with business strategy and CRM

This study investigated the alignment between market research, business strategy and customer relationship management (CRM). With the introduction of advanced IT systems which collect and model internal customer data (CRM), marketing managers face new choices when seeking information to facilitate their particular business strategy. A survey of market research (MR) and CRMusage was conducted among 207 marketing managers. The findings showed the Miles and Snow Prospector strategists placed greater reliance on both MR and internal CRM data systems than did Defenders. This applied in their tasks of developing new strategies and in enlisting senior management support for their actions. As Prospectors were the most reliant on both traditional market research and CRM systems, they need to be skilled in using CRM in conjunction with traditional research methods. Marketing managers who use CRM will need to foster functional relationships with the technical specialists who run CRM systems.

Critical success factors for business intelligence systems

The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.