3 research outputs found

    A stakeholder theory approach to creating value in higher education institutions

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    Purpose: This paper aims to empirically verify whether the development of improved relationships between higher education institutions (HEIs) and their stakeholders based on the principles of stakeholder theory creates more value. Design/methodology/approach: The methods involve a quantitative approach, with the data collection being carried out through a survey of 88 heads of HEIs in Brazil. The paper uses the Spearman’s correlation coefficient to analyze the data and test the hypotheses. Findings: The findings reinforce the arguments found in the stakeholder theory literature, in which relationships are based on the following principles: knowledge and information sharing, mutual trust, involvement in the decision-makin g process and alignment of stakeholders’ interests in the strategic planning process, all of which create more value for organizations. Practical implications: This study seeks to improve the knowledge of stakeholder theory in relation to HEIs. It identifies the stakeholder relationships that create the most value and have the potential to generate a sustainable competitive advantage. The results can help managers to improve their relationships with stakeholders and may encourage the implementation of practices and policies that consider stakeholders’ influence on the strategic direction of HEIs. Social implications: The studies present a social contribution by evidencing the importance of the development of best practices, processes and strategies in the management of educational institutions, which are important actors in the development of society. Originality/value: The originality of this paper is that it empirically tests the principles of stakeholder theory and their relationships with value creation for organizations in the higher education context. Whilst stakeholder theory has been explored in multiples contexts, there is a lack of studies addressing stakeholder management in HEIs

    Scenarios For The Brazilian Road Freight Transport Industry

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    Purpose: This article aims to describe a qualitative, exploratory study with the objective of developing scenarios for the road freight transport industry in Brazil and evaluating the effectiveness of the method applied, which used the stakeholders of said industry as a means to identify the variables of the scenarios. Design/approach/methodology: According to the classification scheme developed by Huss and Honton, the authors' method fits into the intuitive logics approach to scenarios, employing concepts of stakeholder analysis as proposed by Freeman. Primary data collection was conducted through key informant interviews, as outlined by Fetterman. The use of the method of intuitive logics combined with the stakeholder analysis evaluates the consistency of experts' opinions on the characteristics of stakeholders. Four environmental scenarios, distinct but equally plausible, were generated for the road freight transport industry as it was felt that more than four scenarios tends to be too complex. Findings: The method applied produced scenarios distinctive enough to classify them as contrasting, accounting for macroenvironmental variables and variables determined by influential stakeholders in the analyzed industry. Organized and connected, these variables produced precise end states that warrant consideration in the policies and strategies of industry players. The characteristics of the scenarios produced reveal that the method was effective. The authors found the most influential stakeholders in the industry to be the government, shipping clients, end consumers, logistics service providers, and trade associations. The industry's main uncertainties are tied to how the actions of government, shippers, and logistics service providers will unfold. Research limitations/implications: Some limitations could be identified in the method. One refers to the absence of procedures to govern the chronology of events at the time of preparation of scenario plots. Another shortcoming is the third and final stage of the research; the authors observed some weakness in the method when defining a variable that is independent because it can be independent of the variables selected for the last step but dependent on others considered but not selected. Practical implications: The results of the study can stimulate reflection of stakeholders on factors that will affect their decision making, stimulate understanding of the conditions for sustainability of the industry, and identify business opportunities and necessary strategic resources for the success of organizations in the future. Social implications: The transport industry plays a vital role in factors that are paramount for the economical development of a country, such as exploration of resources and mass production, and, in Brazil, road freight transport is of particular importance. The research can guide public policy in regulating and investing in industry, since the plots facilitate the understanding of the consequences of causal relationships as well as the final states resulting from these. The scenarios reveal causal relationships strongly influenced by the stakeholder "government", especially regarding investment in infrastructure, regulation and supervision of the industry. Originality/value: Application of the method proposed by Boaventura and Fischmann to the road freight transport industry generated distinct, but equally plausible scenarios. The method considered the key uncertainties as dichotomous variables. The scenarios were different since combinations of final states of the key uncertainties led to a different logic or rationale. The authors may state that this particular application contributed towards improvement of the method, as it tested the method's logic when applied to a complex environment influenced by many stakeholders. © Emerald Group Publishing Limited.143207224Ayres, R.U., Limits and possibilities of large-scale long-range societal models (1984) Technological Forecasting and Social Change, 25, pp. 297-308Ayres, R.U., Axtell, R., Foresight as a survival characteristic: When (if ever) does the long view pay? 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