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1 – 10 of over 2000Cubie L.L. Lau, Cliff D. Fisher, John F. Hulpke, William Aidan Kelly and Susanna Taylor
Essays on social responsibility call the United Nations Global Compact (UNGC) “by far the world’s largest corporate responsibility initiative”. The authors look at two avenues to…
Abstract
Purpose
Essays on social responsibility call the United Nations Global Compact (UNGC) “by far the world’s largest corporate responsibility initiative”. The authors look at two avenues to encourage responsible business behavior. First, at law, where law is not the answer and, second, at the UNGC. This paper aims to increase awareness of the UNGC, an umbrella organization supporting corporate good conduct.
Findings
The goal is to make corporations socially responsible. Law by nature addresses misconduct. The UNGC is more positive, encouraging responsible behavior in ten areas. The UNGC could be more effective. The authors suggest that social media and management education can help the UNGC positively impact corporate behavior.
Practical implications
The UNGC represents a significant opportunity. If the UNGC lives up to its potential, corporate misconduct may be lessened and corporate good behavior could be publicized, rewarded and increased.
Originality/value
The time has come to let readers start thinking about the UNGC and its goals. This can help bring greater social responsibility in tomorrow’s businesses.
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Antónia Correia and Adriano Pimpão
This paper aims to study the decision‐making processes of Portuguese tourists traveling to South America and Africa destinations by developing a conceptual framework that focuses…
Abstract
Purpose
This paper aims to study the decision‐making processes of Portuguese tourists traveling to South America and Africa destinations by developing a conceptual framework that focuses on information sources, motivations, perceptions, satisfactions, and behavioral intentions.
Design/methodology/approach
The study applies a structural model that looks to explain the factors behind decision making and the relationships present. The relationships are observed in detail through the application of a categorical principal component analysis.
Findings
The results of the empirical study show that behavioral intentions precede emotional and cognitive satisfaction, which in turn, are explained through perceptions and motivations. Tourists perceive tourism destinations as places of leisure although little information is available on existing facilities and core attractions.
Research limitations/implications
The study has the restriction of being limited to the Portuguese tourists. However, these findings open paths for further investigation, namely extending to other destinations and to tourists with different motivations.
Originality/value
This study contributes to the overall understanding of the decision‐making processes of tourists. Specifically, the decision processes is assess by considering two stages: the pre‐purchase stage and the post‐purchase stage. These two phases were analyzed in order to understand how people decide to travel to a certain destination.
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Barrie O. Pettman and Richard Dobbins
This issue is a selected bibliography covering the subject of leadership.
Abstract
This issue is a selected bibliography covering the subject of leadership.
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The adoption of a model‐building approach to marketing is today inevitable, due to improvements in hardware and software and the increased professionalisation of marketing and its…
Abstract
The adoption of a model‐building approach to marketing is today inevitable, due to improvements in hardware and software and the increased professionalisation of marketing and its techniques. Aggregate response models are focused upon, particularly the issues of which responses are realistic and should be modelled, how the response can be expressed and how a choice can be made between options available. The traditional model‐building process is described, and the inclusion of correct variables found to be critical, the primary means of doing this being statistical analysis. Simple expressions perform as effectively as more complex ones, and should be used if able to give operationally meaningful results. Cross‐correlation analysis and biased estimation techniques provide good guides to usable variables and their effects.
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