Cultural sustainability – a framework for Aboriginal tourism in British Columbia

ABSTRACT

This paper presents a framework to assess the cultural sustainability of Aboriginal tourism in British Columbia, which meets must take into account the protection of human rights, good self-governance, identity, control of land, the tourism product’s authenticity, and a market-ready tourism product. These criteria are specified by two indicators each. The cultural sustainability framework was generated by triangulating qualitative research methods like experts’ interviews, secondary research, and participant and non-participant observations. This paper is thus conceptual in nature and inductive in its approach. It partly leverages a collaborative approach, as it includes interviewees in an iterative research loop. Furthermore, the paper shows why cultural sustainability is a determinant of the success of Aboriginal tourism.     

Are municipal land use plans keeping pace with global climate change?

Published research on municipal climate change plans to date has been strictly cross-sectional: it reveals the status of plans at particular points in time, but does not examine whether and how plans are evolving over time to keep pace with our understanding of climate change. We build on a 2011 study of plans in the Canadian province of British Columbia by examining updated versions of those plans as of 2015. We find that the climate change content in the plans did not change much from 2011-2015 and that there is much room for improvement. Our findings suggest that municipalities can possibly strengthen their plans by: (1) investing resources into creating and maintaining a detailed inventory of factual information regarding local climate risk and vulnerability, and (2) fostering political support among elected officials and residents for developing climate change planning goals and implementation mechanisms to help achieve the goals.     

Effective advertising in industrial supplier directories

This article discusses the relative effectiveness of various advertisement characteristics in industrial supplier directories. Correlations and regressions on ad characteristics and response data indicate that ad space (size and/or number) and logos have a positive impact while the impact of pictures can be negative.     

Identifying innovative behavior patterns using canonical analysis

Marketers are vitally interested in the relationships between personal attributes and consumer behavior. This study was developed to examine, using canonical analysis, the relationships of personality and socioeconomic data with innovative behavior of housewives. The Gordon Personal Profile and Inventory provided the personality variables, and socioeconomic variables used were age, marital status, income, and number of children living at home. All respondents were women who represented middle-class housewives in the Columbia, South Carolina, metropolitan area. An initial sample was used to scale a list of products as to their degree of innovativeness in their effect on consumption and usage patterns. A sample of 152 middle-class housewives were then contacted and 142 of these supplied completed questionnaires suitable for analysis. A great many combinations of innovative products and personality and socioeconomic variables were run. Several strong relationships were found. The major ones were between products and socioeconomic variables. However, one analysis showed the most significant levels of association with the innovative products when personality variables were used alone. A brief analysis of the major canonical root for this analysis indicates a woman who uses more malt liquor and club cocktails and who has a microwave oven. Associated with these innovative products are the personality variables of ascendancy, slightly irresponsible, less cautious, and highly sociable. This interpretation might indicate the profile of a woman who is on the way up and likes to socialize without regard to what others think. Many other interesting profiles are also described. The study is exploratory in nature but provides stimulus for additional research and also provides support for previous consumer behavior findings.     

An integer-based blackman innovation index: Hypothesis,evidence, and implications

Blackman, Seligman, and Sogliero [4] factor analyzed U.S. industrial data on innovation-related variables and defined an “innovation index.” This index was strongly correlated with a parameter which measures the propensity of an industrial sector toward adoption of new technology within the classic Mansfield market substitution model [7].Extension of their analysis to cover a 22-year period, along with consideration of certain methodological issues, suggests that the index values for industries in their data base are not free to vary continuously. Instead, the innovation index for each of the industries can be linked with some fundamental value which lies at an integral number of units (i.e., 0, 1, 2, or 3) above an absolute zero. Such an integer structure may signal the existence of fundamental, quantitative relationships between the behaviors of diverse sectors toward innovation— including both research and development effort and adoption of new technology. Understanding such relationships should prove relevant both to efforts to enhance innovation in the private sector and to evaluating proposals for selective emphasis on particular sectors as part of any national “industrial policy.”     

Predictive power of joint space models constructed with composition techniques

A comparison of different methods of building joint spaces indicates significant differences across both product classes and modeling techniques in the ability to predict preferences for validation brands. Perceptual spaces constructed with discriminant analysis combined with vector representations of preference gave the best predictions across the product clases analyzed. Also, segment-specific perceptual spaces did not, in general, improve the predictive ability of the models studied.