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Schein (1985) defines a career anchor as a person's perceived area of competence, values, and motives that he or she would not want to forfeit when faced with a career decision that might prevent him or her from fulfilling it. Hardin, Stocks and Graves (2001) utilized Schein's Career Orientation Inventory to determine the predominant career anchors of Certified Public Accountants (CPAs) and to investigate the relationship of CPA career anchor and job setting. This chapter builds on the Hardin et al. study and focuses on the younger professional accountant. This younger generation of accountants are part of the millennial generation, which prior research has indicated vary significantly in their wants, values, and desires for an employment situation. Based on the survey results, 46.1% of the millennials possess a Lifestyle career anchor, 18.0% possess a Security career anchor, and 12.4% possess a Service career anchor. Each of the other five career anchors were selected by fewer than 8.0% of the respondents. The results suggest the career anchors of today's millennial professional accountants differ from those of professional accountants some 15 years ago. In particular, the Security career anchor is far more prevalent than in the past, which suggests millennial accountants have an increased interest in job security. This research provides important information to organizations seeking to recruit and retain young accounting professionals. Similarly, young professionals should be aware of their career anchor, so they can manage their career choices, rather than conform to choices that others make for them.

The purpose of this chapter is to examine community relations as corporate social responsibility (CSR) engagements by sport organizations through the lens of social anchor theory. Specifically, this work explores whether and how sport organizations serve as social anchors in community, and what community relations approaches have the potential to facilitate professional sport organizations as social anchors. Findings are based on textual analysis of CSR reports and community relating websites of nine professional sport organizations in the United States. Findings suggest that sport organizations act as social anchors by identifying with social issues, celebrating diversity, equality, and inclusion (DEI), and incorporating the margins into sports. Overall, partnerships, community events, and players' community engagements are the community relations approaches with potential to establish sport organizations as social anchors. The proposed best practices illustrate the intersection of sport CSR initiatives, community relations, and DEI social programs.

Purpose — Fare validation data from transit smart card automatic fare collection (AFC) systems have properties that align with the direction of large-scale mobility surveys and the evermore demanding data needs of the transit industry. In addition to applications in transit planning and service monitoring, travel patterns and behaviour can effectively be studied by exploiting the continuous stream of observations from the same card. The paper proposes a methodology to enrich fare validation data in order to generate information that is hard to obtain with traditional travel surveys.

Methodology/approach — The methodology aims to synthesize individual-level attributes by summarizing multi-day validation records from each card. These new dimensions are then transposed to various levels of aggregation and studied simultaneously in multivariate analysis. The methodology can also be applied to synthesize other multi-day attributes and is transferable to other modes and other travel behaviour studies.

Findings — Results show that validation data can effectively be used to measure the distribution of travel patterns in time and space as well as the variation of those phenomena over time. The paper provides several examples based on millions of validation records from the metro sub-network of Montréal, along with interpretations and some practical implications.

Research limitations/implications — Limitations and bias regarding the data and the methodology as well as the strategies to handle them are discussed within the context of passive travel survey and travel behaviour studies.

Practical implications — Practitioners in transit planning, operations, marketing and modelling can benefit from studying the increasingly accessible and massive smart card datasets through a deeper understanding of multi-day travel patterns and behaviour of transit users.

Originality/value — This paper outlines a data modelling approach and simple-to-implement methodology which exploit the multi-day property of fare validation data from a smart card AFC. The concept of multi-day attributes is introduced. The analyses show that the approach is effective for extracting information on travel behaviour and its variation which would otherwise be hard to obtain through traditional travel surveys, opening up another dimension of this data source for practitioners and transport modellers alike.