PROCESS STUDIES OF TOURISTS’ DECISION-MAKING

We review tourism decision-making paradigms. We conclude that the literature is dominated by ‘variance’ studies of tourists’ decisions by causal analysis of independent variables explaining choices by tourists. This ‘choice set’ approach is in consonance with the need to understand important issues such as destination attractiveness and marketing. We argue that this approach does not incorporate an ontology of decision-making as a process, a deeper understanding of which may only be generated through studies that involve narrating emergent actions and activities through which individual or collective endeavours unfold. From this base we review the tourism decision-making literature and argue for the development of process studies as an important adjunct to the current body of knowledge.     

Notes and Comments Industry-University collaboration: A general study

The recent history of developments in Industry-University collaboration in the U.K. is briefly reviewed and the present means utilized by Universities to collaborate with Industry and Commerce outlined.
The Appendix clarifies the means developed by over thirty Universities with University Companies, Industrial Units or Liaison Bureaux.     

Watch Your Basket ‐ to Determine CEO Compensation

CEOs (chief executive officers) are paid more if they outperform other firms in their blockholders’ portfolios. For every percentage point by which their own firm's return exceeds the return of the largest blockholder's basket of investments in a year, their compensation increases by over $9,800. Once we benchmark to this portfolio, industry returns and own firm returns are of little importance. When the firm is a larger portion of the blockholder's portfolio and when the blockholder is experienced, the reward for outperforming the blockholder's portfolio is greater. Our results are robust to alternate industry classifications and definitions of blockholders.     

Marketing insights from text analysis

Language is an integral part of marketing. Consumers share word of mouth, salespeople pitch services, and advertisements try to persuade. Further, small differences in wording can have a big impact. But while it is clear that language is both frequent and important, how can we extract insight from this new form of data? This paper provides an introduction to the main approaches to automated textual analysis and how researchers can use them to extract marketing insight. We provide a brief summary of dictionaries, topic modeling, and embeddings, some examples of how each approach can be used, and some advantages and limitations inherent to each method. Further, we outline how these approaches can be used both in empirical analysis of field data as well as experiments. Finally, an appendix provides links to relevant tools and readings to help interested readers learn more. By introducing more researchers to these valuable and accessible tools, we hope to encourage their adoption in a wide variety of areas of research.

     

Going green in Thailand: Upgrading in global organic value chains

Under what conditions are some small-scale agricultural producers able to overcome challenges associated with shifting to organic production, whereas most are not? The answers are vital for the global effort to encourage more sustainable, pro-poor forms of agriculture—more organic farming, more sustainable production; more smallholders engaged in green production, more income and better livelihoods. Yet, answering this question is challenging in part because previous analyses of global production networks, such as those associated with organic agriculture, focus more on broad governance patterns than the specific factors and actors that help smallholders shift to organic production and link to far-flung markets. To fill in these gaps, we conducted fieldwork in Isan, Thailand, a major rice-producing area in which many groups of smallholders have attempted to shift into organic production. Doing so allows us to identify the critical challenges associated with upgrading into organic production and analyse how specific actors enabled some groups to overcome these challenges. Our findings provide a generalizable theoretical approach to understanding how to link small-scale farmers to global value chains in ways that can potentially enhance smallholders' livelihoods, spark rural development and encourage more sustainable practices in agriculture.     

Design practice for extinguishing barrier systems

An extinguishing barrier comprises an optical flame sensor and a HRD-Suppressor located downstream of the detected flame front. The effectiveness of an extinguishing barrier is based on its ability to detect an explosion in a pipeline by means of an optical flame detector whose tripping signal is amplified and then very quickly actuates the detonator-actuated valves of the pressurized HRD-Suppressors. Extensive practice-related tests in pipelines, having different cross sections and length, in pipelines connected with different vessels, have shown that extinguishing barriers can be used without reservation to halt or stop an explosion in practice. The amount of suppressant agent required depends on the nature of the combustible dusts, the nominal diameter of the protected pipeline, the explosion velocity and the maximum reduced explosion overpressure in the vessel. Most significantly, the theoretical understanding of explosion propagation and extinguishing has led to computer design guidance which has simplified system design. Explosions can be combated effectively in pipelines up to diameter 2500 mm.