It’s Made of People: Designing Systems for Humans

Abstract

Technical services staff, along with programmers, supervisors, and frontline librarians, participate in all sorts of systems. Whether they recognize it or not, they are used to interacting with the world through the lens of the systems they work with. In this presentation from the North Carolina Serials Conference, Andreas Orphanides looks at some of the challenges of interacting with the world in terms of systems, discusses the human costs of failing to recognize the limitations of systems, and provides a framework for thinking about systems to help ensure that our systems respect the humanity of their human participants.     

What Librarians Can Learn from Cable Television: Thoughts on Transformative Business Models and Their Impact on the Business of Libraries

This column explores three issues currently dominating the discourse in the electronic resources field—the big deal, perpetual access, and open access—and draws parallels to events and trends from outside libraries that may provide some insight into where we are headed.     

Increasing Research Capacity in Ontario Child Welfare Organizations: A Unique University–Child Welfare Agency Partnership

The objective of this article is to describe the successes and challenges of a unique knowledge mobilization initiative that was funded through the Social Sciences and Humanities Research Council of Canada. This initiative focused on promoting knowledge mobilization by increasing the capacity of child welfare organizations in Ontario to conduct and use research. Building on existing knowledge mobilization models in Ontario, this initiative brought university-based researchers together with child welfare practitioners to use existing data sets from the Ontario Incidence Studies of Reported Child Abuse and Neglect. Overall, this knowledge mobilization initiative resulted in several positive outcomes. Along with the successes, the research team faced several challenges in implementing this initiative, which are described in detail.     

The influence of organizational social responsibility on involvement behavior in community sport membership associations

Membership‐based associations are critical to their local communities and the overall social impact of the nonprofit sector. This study examines how organizational social responsibility within nonprofit membership associations influences positive member involvement behaviors, including volunteering, speaking positively about the club, and member loyalty. Self‐administered online questionnaires were completed by 735 members within seven grassroots membership associations in Ontario, Canada offering community‐based sport programs. Results show that members are somewhat aware of and felt positively about their organization's socially responsible efforts. Awareness of these efforts had a positive direct effect on the involvement behaviors of members, including intention to stay involved with their club and speaking positively about their club to others (i.e., word of mouth). Members' level of social consciousness was found to have a positive direct effect on word of mouth. Furthermore, members' positive evaluation of sport clubs' socially responsible initiatives was found to partially mediate the positive relationship between social consciousness and involvement behavior, as well as partially mediate the positive relationship between awareness of those efforts and involvement behavior. Results of this research provide grassroots membership associations with an in‐depth understanding of how their organization's efforts toward social responsibility influence member perceptions and behaviors, which may help them focus their efforts and more effectively manage their social change agenda moving forward.     

Using social norms theory to explain perceptions and sexual health behaviors of undergraduate college students: an exploratory study

The authors and associates conducted a social norms-based intervention targeting high-risk sexual behaviors among undergraduate students at 4 college campuses. Social norms theory predicts that widely held misperceptions may encourage risky behavior in a misguided attempt to conform to perceived norms and that information correcting these misperceptions will lead to a decrease in such behaviors. Students overestimated their peers' levels of sexual activity, numbers of partners, incidence of sexually transmitted infections, and rates of unintended pregnancies, but underestimated rates of condom use. Rates of HIV test taking, however, were accurately estimated. Although some components of sexual risk behaviors lend themselves well to social norms-based interventions, others, specifically inconsistent condom use and avoiding HIV tests, do not. Although no changes in reported beliefs or practices were apparent at the end of a 9-month intervention period, longer or modified interventions may be needed to make a fair assessment of the efficacy of this approach.     

Assessing and Increasing Staff Preference for Job Tasks Using Concurrent-Chains Schedules and Probabilistic Outcomes

The assessment and improvement of staff members' subjective valuation of nonpreferred work tasks may be one way to increase the quality of staff members' work life. The Task Enjoyment Motivation Protocol (Green, Reid, Passante, &; Canipe, 2008 Green, C. W., Reid, D. H., Passante, S. and Canipe, V. 2008. Changing less-preferred duties to more-preferred: A potential strategy for improving supervisor work enjoyment. Journal of Organizational Behavior Management, 28: 90–109. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) provides a process for supervisors to identify the aversive qualities of nonpreferred job tasks. Through participative management, the process reduces these aversive qualities while increasing the appetitive properties via the pairing of these tasks with enjoyable consequences. The present study provides an extension of Green et al.'s work through utilization of a concurrent-chains schedule arrangement via the pairing of reinforcing consequences with a target job task using probabilistic outcomes to directly assess job task preferences for eight direct support staff in a human service organization.