Corporate social responsibility in professional team sport organisations : towards a theory of decision-making

Research question: 

The succession decision in Chinese–Australian family businesses : an exploratory study

This article explores the factors used to make succession choices as ethnic Chinese family business founders integrate into their host country, Australia. An empirical study of six Chinese–Australian family businesses was used to analyse what factors influence the succession decision-making process. Results show three broad factors influenced the founders’ decisions, including the aspirations and visions of the business founders, cultural and individual values shaped in the integration process, and the options that are available for succession. Findings challenge the anticipated option of intergenerational succession, with its emphasis on family-oriented collectivistic values as expectations. It provides future support for considering how the cultural value orientation (collectivistic, individualistic, or transitional) has impacted on the founder’s succession choices. Further research is required to understand how the flexible, changing, situational founder’s succession intentions are manifested among family businesses in cultural transition.

Implications for Australian anaesthetists and proceduralists of a recent court decision regarding informed consent and patient positioning

 This article discusses the medicolegal implications of a recent judgment in relation to a patient who suffered significant morbidity as a result of patient positioning during an operative procedure. The patient developed an unexpected serious complication following surgery, in the context of a preoperative consent that did not cover every potential complication or contingency. The court held that the failure to warn of a particular risk that would have prevented the patient from undergoing a procedure but did not occur will not necessarily result in a finding of negligence in relation to another risk where the harm did occur. This finding is well aligned to current clinical practice and at the same time does not abrogate the practitioner's duty to provide a comprehensive list of possible complications during the consent process for any proceduralist. In the context of a procedure requiring anaesthesia, the importance of communication and understanding between the anaesthetist and proceduralist as to which aspects of the consent process are undertaken by whom, and to ensure the process is done comprehensively, is of great importance and is indirectly highlighted by this recent judgment.

Shared decision making: what do clinicians need to know and why should they bother?

Shared decision making enables a clinician and patient to participate jointly in making a health decision, having discussed the options and their benefits and harms, and having considered the patient's values, preferences and circumstances. It is not a single step to be added into a consultation, but a process that can be used to guide decisions about screening, investigations and treatments. The benefits of shared decision making include enabling evidence and patients' preferences to be incorporated into a consultation; improving patient knowledge, risk perception accuracy and patient-clinician communication; and reducing decisional conflict, feeling uninformed and inappropriate use of tests and treatments. Various approaches can be used to guide clinicians through the process. We elaborate on five simple questions that can be used: What will happen if the patient waits and watches? What are the test or treatment options? What are the benefits and harms of each option? How do the benefits and harms weigh up for the patient? Does the patient have enough information to make a choice? Although shared decision making can occur without tools, various types of decision support tools now exist to facilitate it. Misconceptions about shared decision making are hampering its implementation. We address the barriers, as perceived by clinicians. Despite numerous international initiatives to advance shared decision making, very little has occurred in Australia. Consequently, we are lagging behind many other countries and should act urgently.

A two-stage dynamic group decision making method for processing ordinal information

In group decision making (GDM) problems, ordinal data provide a convenient way of articulating preferences from decision makers (DMs). A number of GDM models have been proposed to aggregate such kind of preferences in the literature. However, most of the GDM models that handle ordinal preferences suffer from two drawbacks: (1) it is difficult for the GDM models to manage conflicting opinions, especially with a large number of DMs; and (2) the relationships between the preferences provided by the DMs are neglected, and all DMs are assumed to be of equal importance, therefore causing the aggregated collective preference not an ideal representative of the group's decision. In order to overcome these problems, a two-stage dynamic group decision making method for aggregating ordinal preferences is proposed in this paper. The method consists of two main processes: (i) a data cleansing process, which aims to reduce the influence of conflicting opinions pertaining to the collective decision prior to the aggregation process; as such an effective solution for undertaking large-scale GDM problems is formulated; and (ii) a support degree oriented consensus-reaching process, where the collective preference is aggregated by using the Power Average (PA) operator; as such, the relationships of the arguments being aggregated are taken into consideration (i.e., allowing the values being aggregated to support each other). A new support function for the PA operator to deal with ordinal information is defined based on the dominance-based rough set approach. The proposed GDM model is compared with the models presented by Herrera-Viedma et al. An application related to controlling the degradation of the hydrographic basin of a river in Brazil is evaluated. The results demonstrate the usefulness of the proposed method in handling GDM problems with ordinal information.

A hybrid weighted aggregation method based on consistency and consensus in group decision making

A recent study in Science indicated that the confidence of a decision maker played an essential role in group decision making problems. In order to make use of the information of each individual's confidence of the current decision problem, a new hybrid weighted aggregation method to solve a group decision making peoblem is proposed in this paper. Specifically, the hybrid weight of each expert is generated by a convex combination of his/her subjective experience-based weight and objective problem-domain-based weight. The experience-based weight is derived from the expert's historical experiences and the problem-domain-based weight is characterized by the confidence degree and consensus degree of each expert's opinions in the current decision making process. Based on the hybrid weighted aggregation method, all the experts' opinions which are expressed in the form of fuzzy preference relations are consequently aggregated to obtain a collective group opinion. Some valuable properities of the proposed method are discussed. A nurse manager hiring problem in a hospital is employed to illustrate that the proposed method provides a rational and valid solution for the group decision making problem when the experts are not willing to change their initial preferences, or the cost of change is high due to time limitation.

A framework for mobile elearning (mLearning) with analytical decision model

Mobile eLearning (mLearning) can create a revolution in eLearning with the popularity of smart mobile devices and Application. However, contents are the king to make this revolution happen. Moreover, for an effective mLearning system, analytical aspects such as, quality of contents, quality of results, performance of learners, needs to be addressed. This paper presents a framework for personal mLearning. In this paper, we have used graph-based model called bipartite graph for content authentication and identification of the quality of results. Furthermore, we have used statistical estimation process for trustworthiness of weights in the bipartite graph using confidence interval and hypothesis test as analytical decision model tool.

Evaluating young adult voter decision-making involvement within a compulsory political system

Purpose - This study aims to specifically focus on the lower-involvement young adult voters within the Australian compulsory voting context. It explores voters’ political decision-making by considering the influence of the consumer behaviour theory of involvement. Design/methodology/approach - A thematic analysis was conducted to analyse the interviews within the two research questions: information seeking and decision-making. Findings - Key themes within information seeking are the reach of the information available, the frequency of the information presented, the creativity of the message and one-way versus two-way communication. Key themes within evaluation are promise keeping/trust, achievements or performance and policies. Lower-involvement decision-making has the potential to be a habitual, limited evaluation decision. However, issues of trust, performance and policies may encourage evaluation, thereby reducing the chances of habitually voting for the same party as before. Practical implications - This new area of research has implications for the application of marketing for organisations and political marketing theory. Considering voting decision-making as a lower-involvement decision has implications for assisting the creation and adaptation of strategies to focus on this group of the population. Originality/value - The compulsory voting environment creates a unique situation to study lower-involvement decision-making, as these young adults are less likely to opt out of the voting process. Previous research in political marketing has not specifically explored the application of involvement to young adult voting within a compulsory voting environment.

An improved consensus-based group decision making model with heterogeneous information

In group decision making (GDM) problems, it is natural for decision makers (DMs) to provide different preferences and evaluations owing to varying domain knowledge and cultural values. When the number of DMs is large, a higher degree of heterogeneity is expected, and it is difficult to translate heterogeneous information into one unified preference without loss of context. In this aspect, the current GDM models face two main challenges, i.e., handling the complexity pertaining to the unification of heterogeneous information from a large number of DMs, and providing optimal solutions based on unification methods. This paper presents a new consensus-based GDM model to manage heterogeneous information. In the new GDM model, an aggregation of individual priority (AIP)-based aggregation mechanism, which is able to employ flexible methods for deriving each DM's individual priority and to avoid information loss caused by unifying heterogeneous information, is utilized to aggregate the individual preferences. To reach a consensus more efficiently, different revision schemes are employed to reward/penalize the cooperative/non-cooperative DMs, respectively. The temporary collective opinion used to guide the revision process is derived by aggregating only those non-conflicting opinions at each round of revision. In order to measure the consensus in a robust manner, a position-based dissimilarity measure is developed. Compared with the existing GDM models, the proposed GDM model is more effective and flexible in processing heterogeneous information. It can be used to handle different types of information with different degrees of granularity. Six types of information are exemplified in this paper, i.e., ordinal, interval, fuzzy number, linguistic, intuitionistic fuzzy set, and real number. The results indicate that the position-based consensus measure is able to overcome possible distortions of the results in large-scale GDM problems.

Decision Support Systems And Promoting Socially Just Environmental Management

The Mauri Model DMF is unique in its approach to the management of water resources as the framework offers a transparent and inclusive approach to considering the environmental, economic, social and cultural aspects of the decisions being contemplated. The Mauri Model DMF is unique because it is capable of including multiple-worldviews and adopts mauri (intrinsic value or well-being) in the place of the more common monetised assessments of pseudo sustainability using Cost Benefit Analysis. The Mauri Model DMF uses a two stage process that first identifies participants’ worldviews and inherent bias regarding water resource management, and then facilitates transparent assessment of selected sustainability performance indicators. The assessment can then be contemplated as the separate environmental, economic, social and cultural dimensions of the decision, and collectively as an overall result; or the priorities associated with different worldviews can be applied to determine the sensitivity of the result to different cultural contexts or worldviews.

A BDI-based approach for the assessment of driver's decision-making in commuter scenarios

The rapid growth of urban areas has a significant impact on traffic and transportation systems. New management policies and planning strategies are clearly necessary to cope with the more than ever limited capacity of existing road networks. The concept of Intelligent Transportation System (ITS) arises in this scenario; rather than attempting to increase road capacity by means of physical modifications to the infrastructure, the premise of ITS relies on the use of advanced communication and computer technologies to handle today’s traffic and transportation facilities. Influencing users’ behaviour patterns is a challenge that has stimulated much research in the ITS field, where human factors start gaining great importance to modelling, simulating, and assessing such an innovative approach. This work is aimed at using Multi-agent Systems (MAS) to represent the traffic and transportation systems in the light of the new performance measures brought about by ITS technologies. Agent features have good potentialities to represent those components of a system that are geographically and functionally distributed, such as most components in traffic and transportation. A BDI (beliefs, desires, and intentions) architecture is presented as an alternative to traditional models used to represent the driver behaviour within microscopic simulation allowing for an explicit representation of users’ mental states. Basic concepts of ITS and MAS are presented, as well as some application examples related to the subject. This has motivated the extension of an existing microscopic simulation framework to incorporate MAS features to enhance the representation of drivers. This way demand is generated from a population of agents as the result of their decisions on route and departure time, on a daily basis. The extended simulation model that now supports the interaction of BDI driver agents was effectively implemented, and different experiments were performed to test this approach in commuter scenarios. MAS provides a process-driven approach that fosters the easy construction of modular, robust, and scalable models, characteristics that lack in former result-driven approaches. Its abstraction premises allow for a closer association between the model and its practical implementation. Uncertainty and variability are addressed in a straightforward manner, as an easier representation of humanlike behaviours within the driver structure is provided by cognitive architectures, such as the BDI approach used in this work. This way MAS extends microscopic simulation of traffic to better address the complexity inherent in ITS technologies.

The stakeholders‟ involvement in the process of building and maintaining a destination brand

A destination is a place that attracts visitors for a temporary stay to participate in tourism related activities or non- activities. Globalization, the increased number of travelers and the increased buying power have increased the competition between the destinations and the destinations have become more substitutable. It has been agreed that destinations can be branded as well as products and to be competitive it is getting common to brand destinations. Destination Marketing Organizations (DMOs) are responsible for the marketing of an identifiable destination. The purpose of this study is to present an exploratory study of how a destination marketing organization creates and builds a strong destination brand and how the stakeholders have been involved in the process. The study is done with a qualitative case study approach. The case study was chosen as the research method to make a detailed and intensive analysis of the research objective, in this case the destination brand of Brazil and its stakeholders.

A importância da marca no processo de decisão de compra de calçados esportivos para a população de baixa renda

Desde a estabilidade econômica que ocorreu no Brasil em 1994 até os dias atuais, o mercado brasileiro vem crescendo aceleradamente, atraindo a entrada de marcas internacionais e estimulando a indústria nacional com o surgimento de fortes marcas locais. Este movimento incentiva o surgimento de novos consumidores com importante poder de compra, como as classes mais baixas da sociedade, antes vista como a parte neste processo. As empresas começam então a desenvolver estratégias para atrair tal público, estudando seu comportamento de consumo. O uso de marcas fortes passa a se destacar. O segmento de calçado esportivos, em especial o tênis, com um crescimento anual de 8% e uma produção de 80 milhões de pares/ano, é um forte exemplo. Com base nesse cenário, a presente dissertação teve como objetivo compreender a importância da marca no processo de decisão de compra dos produtos da categoria de calçados esportivos para os consumidores da classe C e D. Para tanto, foram analisadas bibliografias referentes ao comportamento do consumidor e o os atributos considerados no processo de decisão de compra, em especial a importância da marca. Foram levantados dados sobre a população de baixa renda no Brasil e seu comportamento de compra, e sobre o mercado de calçados esportivos. Foram realizadas entrevistas com dez consumidores pertencentes a este público com o intuito de conhecer seus hábitos de consumo e uso de tênis, e a participação da marca no seu processo de decisão de compra. Dessa forma, pode-se perceber que este público tem preferência pelo tênis como sapato que pode ser usado em todas as ocasiões. A marca é o principal atributo para a compra desse produto, sendo mais importante que o preço ou local de compra. Ela é a garantia de qualidade, mas, em uma análise mais profunda, também é usada como um forte fator de distinção social intraclasse, recebendo uma forte influência da mídia e de celebridades, que são vistas como heróis, dentro de um processo de projeção de sua identidade.

Detecting patterns of the spinoff decision of companies and accessing the determination of the abnormal returns

This paper examines value created through spinoffs over a period from 2002-2010. The net debt to average share price ratio and the debt to asset ratio of a company impacts the decision for this restructuring process statistically significant. The announcement of a spinoff yields abnormal returns (AR) for the stockholders of the parent. The relative size of the spin and the financial leverage correlated with the AR positively, whereas the net debt per share and the return on asset negatively. Therefore, no direct wealth transfer from the debt holders of a company to the equity holders can be derived from these results.