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The purpose of this paper is to document and explore the perceptual motivations for voluntary and continued affiliation with a fitness industry register by its affiliates (“members”) and non-affiliates (“non-members”). The formation of fitness industry registers to impart self-regulation is a common global occurrence. Their sustainment, however, is reliant on the motivations and voluntary support of industry members. Limited work has been done in this area.

This qualitative study uses the interpretive research paradigm, involving semi-structured interviews with 12 Auckland, New Zealand, fitness centre managers, industry associations, New Zealand Register of Exercise Professionals (Reps NZ) and Fitness New Zealand. Lenox’s (2006) participation-contingent benefits framework provides the necessary lens to explore the perceptual motivations behind participation/non-participation by fitness centres with an industry self-regulatory system (i.e. Reps NZ).

Whereas participation-contingent benefits are perceived minimal, and exceeded by affiliation limitations, there is institutional congruence for industry regulation to exist, thus creating institutional pressures that encourage affiliation and retention. Whereas affiliates choose to absorb the associated inconveniences of affiliation to “support” Reps NZ, non-affiliates question the register’s regulatory form, choosing to avoid the affiliation costs and limitations.

This study lends further support that institutional development is crucial for inclusive, substantive and sustainable self-regulatory systems. Regardless of the perceived low return on participation-contingent benefits, industry self-regulation can be sustained if there is a desire by industry members to maintain the institutional notion that the regulation needs to exist.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

Congruent with the world-wide call to combat global warming concerns within the context of advancements in smart technology, artificial intelligence, robotics, algorithms (STARA), and digitalisation, organisational leaders are being pressured to ensure that talented employees are effectively managed (nurtured and retained) to curb the potential risk of staff turnover. By managing such talent(s), organisations may be able to not only retain them, but consequently foster environmental sustainability too. Equally, recent debates encourage the need for teams to work digitally and interdependently on set tasks, and for leaders to cultivate competencies fundamental to STARA, as this may further help reduce staff turnover intention and catalyse green initiatives. However, it is unclear how such turnover intention may be impacted by these actions. This paper therefore, seeks to investigate the predictive roles of green hard and soft talent management (TM), leader STARA competence (LSC) and digital task interdependence (DTI) on turnover intention.

The authors used a cross-sectional data collection technique to obtain 372 useable samples from 49 manufacturing organisations in Nigeria.

Findings indicate that green hard and soft TM and LSC positively predict turnover intention. While LSC amplifies the negative influence of green soft TM on turnover intention, LSC and DTI dampen the positive influence of green hard TM on turnover intention.

Our study offers novel insights into how emerging concepts like LSC, DTI, and green hard and soft TM simultaneously act to predict turnover intention.

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.

This paper reports on the results of a research project aimed at estimating the costs of border crossing transit time and uncertainty for the U.S. and Canadian economies. The cost estimates are based on a review of prior reports, some 20 site visits to seven key crossings, and 173 interviews of knowledgeable organizations/persons. The key finding is that border transit time and uncertainty are costing some U.S.$4.01 billion, or 1.05% of total 2001 merchandise trade, and 1.58% of truck-based trade levels. The primary implication of the research is that it provides a baseline estimate of costs that can be used in cost-benefit analysis of alternative border management strategies.

“GIVE a dog a bad name and hang him,” is an aphorism which has been accepted for many years. But, like many other household words, it is not always true. Even if it were, the dog to be operated upon would probably prefer a gala day at his Tyburn Tree to being executed in an obscure back yard.