Does tourism really cause stress? A natural experiment utilizing ArcGIS Survey123

ABSTRACT

Tourism related stress has recently been revealed as an issue for tourism host community residents. Prior studies have relied on directly asking residents if tourism caused them stress, resulting in possible participant priming. This study utilized the ArcGIS Survey123 app to collect data on resident stress from a community with high levels of tourism visitation and a community with low levels of tourism visitation. During the study, researchers never mentioned tourism. Half of study participants in the community with high tourism visitation discussed tourism directly as a stressor, accounting for almost 5% of all stressful experiences, while no participants in the community with low tourism visitation mentioned tourism as a stressor. Geospatial data revealed that tourism related stressors occurred outside of the ‘tourism zone’ in the community with high tourism visitation, and tourism related stressors mirrored perceived tourism impacts measured in a post experiment survey of study participants.     

Do Analysts' Cash Flow Forecasts Encourage Managers to Improve the Firm's Cash Flows? Evidence from Tax Planning

Recent research finds that analysts' cash flow forecasts have meaningful financial reporting ramifications, but, to date, the identified effects are unlikely to yield meaningful cash flow benefits. This study examines whether analysts' cash flow forecasts encourage managers to enhance the firm's cash flow position through tax avoidance activities. We evaluate the change in cash tax avoidance after analysts begin issuing cash flow forecasts relative to a propensity score matched control sample of firms without cash flow forecasts. Consistent with analysts' cash flow forecasts encouraging tax avoidance that enhances the firm's cash flow health, we find a negative association between cash tax payments and analysts' cash flow coverage. Additional analysis suggests this association is driven primarily by strategies to permanently avoid rather than to temporarily defer tax payments and that increased cash tax avoidance activity represents a nontrivial component of the overall increase in reported operating cash flows after the initiation of analysts' cash flow coverage.     

Cultural and Ethical Effects in Budgeting Systems: A Comparison of U.S. and Chinese Managers

This study developed and tested a model of culture’s effect on budgeting systems, and hypothesized that system variables and reactions to them are influenced by culture-specific work-related and ethical values. Most organizational and behavioral views of budgeting fail to acknowledge the ethical components of the problem, and have largely ignored the role of culture in shaping organizational and individual values. Cross-cultural differences in reactions to system design variables, and in the behaviors motivated or mitigated by those variables, has implications for the design and effectiveness of budgeting systems. The data largely support our research model, demonstrating the hypothesized national cultural differences in system design variables (e.g., participation, standards tightness, budget emphasis, etc. which we characterized as the opportunity and incentives to create budgetary slack), and the expected relationship between incentives (but not opportunity) to create slack and slack creation behavior. The data demonstrate hypothesized cultural differences in ethical ideology but show ethical ideology related to slack creation behavior only for U.S. managers. A discussion of the results and their implications is included.     

Hardening soft accounting information: Games for planning organizational change

This study provides theory and field evidence on the social process of hardening soft accounting information to make it persuasive for planning organizational change. Accounting information intended to support organizational change is often soft, that is, there is lack of interpersonal agreement about its quality. For example, employees can lack agreement about the quality of accounting information (e.g., activity-based costing) because the information is constructed from subjective information obtained from interviews and surveys. This information can contain unintentional errors as well as intentional distortions that are intended to avoid revealing embarrassing inefficiencies and/or to resist painful organizational change. We use concepts from applied game theory and social psychology to identify from the accounting literature four multi-person games that may be played to harden soft accounting information. These hardening games are characterized in terms of payoffs, players, the comparability of soft accounting information, and the rules of the games that are expected to emerge. We interpret the field evidence as indicating that the hardening games that emerge depend on who the players are and the comparability of their soft accounting information. In addition, we provide evidence on how the rules of the games that harden the information emerge from the players’ social interactions. Finally, we provide evidence on how an organization learns by trial-and-error how to harden soft accounting information by changing the players and the comparability of the soft accounting information.     

The liability of closeness: Business relatedness and foreign subsidiary performance

It is widely accepted that business relatedness, defined as the extent to which a foreign subsidiary is related to its parent's core business, has a positive effect on subsidiary performance. With a sample of 165 Japanese subsidiaries located in China, however, we found that modestly related subsidiaries, on average, outperformed both unrelated and closely related subsidiaries, and that closely related subsidiaries performed poorly especially when the parent had a heavy majority ownership in the subsidiary and the subsidiary was at its early stage of operating in the host market. Our results indicate that being too closely related to the parent could be potentially detrimental, suggesting a liability of closeness.     

How does PLM technology support knowledge transfer and translation in new product development? Transparency and boundary spanners in an international context

Information Technology is often viewed as imposing too much standardization and limiting flexibility in New Product Development (NPD). This paper aims at understanding how the use of Product Lifecycle Management Technology (PLM) contributes to knowledge sharing in an international NPD environment. The research is based on a longitudinal case study of a consumer goods industry group and involved development teams in Europe and local suppliers in China. Knowledge transfer and translation were observed through the reduction of communication glitches among members and increased NPD work with Chinese suppliers. The results of the case study indicate that (1), with an important codification effort, the use of PLM technology resulted in higher data and network transparency and enhanced knowledge transfer; (2) PLM served as a particularly useful tool for knowledge translation especially for boundary spanners in their work relationships. While PLM can be considered the main mechanism for knowledge transfer in this context, the case suggests that knowledge translation requires a boundary spanner intervention and that, with the use of PLM, they reinforce each other. Particularly noteworthy was a positive shift in the boundary spanners' roles from the project leader to the outsourcing engineer. In turn, this unintended consequence reinforced their credibility and the legitimacy of the use of the system with the Chinese suppliers.     

Developing a framework for network and cluster identification for use in economic development policy-making

Drawing on extensive academic research concerning clusters and networks, this paper seeks to create a framework capable of reviewing and monitoring different aspects of clusters and networks on an ongoing basis. The nine-element framework allows evaluation of the structures and processes for the eight basic cluster types identified from the literature. The use of this framework as a complimentary tool to the Multi-sectoral Qualitative Analysis (MSQA) methodology is then demonstrated using three examples (the construction, hardwood timber and higher education sectors). The data was gathered from three sets of key stakeholders (government, institutions and industry) provided from a recent study funded by the Welsh Assembly Government's Small Grants Research Programme. These cases illustrate the use of the framework in helping to generate the initial information necessary for subsequent cluster development policy (within overall regional economic development) by government to occur. The framework provides tools for reviewing and monitoring individual sectors. Information captured within the framework can also help in ameliorating problems in sectors likely to decline further. The need for further development research is also identified. Specifically at the level of the firm and network, there is a need to generate a more detailed framework of analysis of factors that contribute to successful processes of network management, learning and innovation, from which more detailed policy could be enacted in future.     

The views of key stakeholders on an evolving food risk governance framework: Results from a Delphi study

Evidence of a decline in public trust associated with food risk governance over recent years has called into question the appropriateness of the current dominant risk analysis framework. Within the EU-funded SAFE FOODS project a novel risk analysis framework has been developed that attempts to address potential shortcomings by increasing stakeholder (including consumer) input, improving transparency, and formally incorporating benefit and non-health aspects into the analysis. To assess the viability of this novel framework, the views of food risk experts from the EU and beyond were sought using a distributed online questionnaire process called Delphi. In this paper the main results of this survey are described, revealing varying levels of support for the key innovations of the novel framework. Implications of our results for the new and old frameworks, for the future of risk analysis, and for the policy community more widely, are discussed.