scholarly journals Spreading the Word: Boundary Crossers Building Collective Capacity for Data Use

2019 ◽  
Vol 121 (1) ◽  
pp. 1-45
Author(s):  
Mireille D. Hubers ◽  
Cindy L. Poortman ◽  
Kim Schildkamp ◽  
Jules M. Pieters

Background/Context The data team intervention was designed to support schools in using data while developing a solution to an educational problem. The participating data team members are responsible for building collective capacity within their school for using data and implementing actions related to the improvement plan. This can be challenging, because although they have gained knowledge and experience with data use and the educational problem, their colleagues who were not on the data team have not. As a result, there is a heightened risk for discontinuity between the behaviors of such colleagues and of the data team members: Colleagues will not automatically use data nor implement the actions for improvement. These discontinuities are referred to as boundaries. To establish common ground with their colleagues, data team members need to act as boundary crossers by brokering their knowledge. Purpose The present study used a process view to determine how data team members acted as boundary crossers by studying what content they had brokered, the level at which they had addressed that content, and what activities they had used to cross boundaries. Intervention Data teams consist of six to eight educators who collaboratively learn how to use data to analyze and address an educational problem at their school. They work following a cyclical procedure. Research Design A longitudinal qualitative case study was conducted in four Dutch schools that implemented the data team intervention. Data Collection and Analysis Artifacts were collected and all team members were interviewed twice. Log files, minutes of the meetings, and progress reports were used to obtain a complete picture of boundary crossing and to provide background information. A coding scheme was used in order to determine what content was brokered, the level at which the content was addressed, and the activities used to broker the content. Findings/Results Findings illustrated that team members mainly brokered knowledge about the educational problem and data use as applied to the educational problem, but rarely about data use in general. Overall, content was almost exclusively addressed at the level of awareness, indicating that only basic information was brokered. Conclusions/Recommendations Successful boundary crossing cannot be taken for granted: Team members brokered their knowledge in ways less likely to be effective. When they receive additional support for this, they are likely to increase their team's effectiveness in building school-wide capacity for both data use and the implementation of actions related to the improvement plan.

Author(s):  
Benjamin Shao ◽  
Robert D. St. Louis

Many companies are forming data analytics teams to put data to work. To enhance procurement practices, chief procurement officers (CPOs) must work effectively with data analytics teams, from hiring and training to managing and utilizing team members. This chapter presents the findings of a study on how CPOs use data analytics teams to support the procurement process. Surveys and interviews indicate companies are exhibiting different levels of maturity in using data analytics, but both the goal of CPOs (i.e., improving performance to support the business strategy) and the way to interact with data analytics teams for achieving that goal are common across companies. However, as data become more reliably available and technologies become more intelligently embedded, the best practices of organizing and managing data analytics teams for procurement will need to be constantly updated.


2021 ◽  
pp. 001872672110029
Author(s):  
Yuying Lin ◽  
Mengxi Yang ◽  
Matthew J Quade ◽  
Wansi Chen

How do supervisors who treat the bottom line as more important than anything else influence team success? Drawing from social information processing theory, we explore how and when supervisor bottom-line mentality (i.e. an exclusive focus on bottom-line outcomes at the expense of other priorities) exerts influence on the bottom-line itself, in the form of team performance. We argue that a supervisor’s bottom-line mentality provides significant social cues for the team that securing bottom-line objectives is of sole importance, which stimulates team performance avoidance goal orientation, and thus decreases team performance. Further, we argue performing tension (i.e. tension between contradictory needs, demands, and goals), serving as team members’ mutual perception of the confusing environment, will strengthen the indirect negative relationship between supervisor bottom-line mentality and team performance through team performance avoidance goal orientation. We conduct a path analysis using data from 258 teams in a Chinese food-chain company, which provides support for our hypotheses. Overall, our findings suggest that supervisor’s exclusive focus on the bottom-line can serve to impede team performance. Theoretical contributions and practical implications are discussed.


2020 ◽  
Vol 9 (1) ◽  
pp. 131-153
Author(s):  
Tone Holt Nielsen

AbstractA growing number of Multinational Corporations (MNCs) adopt English as their official corporate language. Research on English used as a business lingua franca (BELF) in such contexts shows how its use is negotiated, context dependent, and influenced by cultural and linguistic diversity. Multinational teams (MNTs) are legion within MNCs, and need to find efficient ways of communicating across their diversity, in particular in demanding and complex interactions such as meetings. This case study uses non-participant observation and interviews to study how one MNT has developed shared BELF communication practices for meetings. It examines the BELF communication practices in both the MNC context and at the team level. The analysis of the data shows that team members were highly aware of the challenges posed by cultural and linguistic diversity, and how they developed their local communication practices by processes of developing common ground, building trust, and good leadership.


2016 ◽  
Vol 124 (6) ◽  
pp. 1794-1804 ◽  
Author(s):  
Suzanne M. Michalak ◽  
John D. Rolston ◽  
Michael T. Lawton

OBJECT Surgery requires careful coordination of multiple team members, each playing a vital role in mitigating errors. Previous studies have focused on eliciting errors from only the attending surgeon, likely missing events observed by other team members. METHODS Surveys were administered to the attending surgeon, resident surgeon, anesthesiologist, and nursing staff immediately following each of 31 cerebrovascular surgeries; participants were instructed to record any deviation from optimal course (DOC). DOCs were categorized and sorted by reporter and perioperative timing, then correlated with delays and outcome measures. RESULTS Errors were recorded in 93.5% of the 31 cases surveyed. The number of errors recorded per case ranged from 0 to 8, with an average of 3.1 ± 2.1 errors (± SD). Overall, technical errors were most common (24.5%), followed by communication (22.4%), management/judgment (16.0%), and equipment (11.7%). The resident surgeon reported the most errors (52.1%), followed by the circulating nurse (31.9%), the attending surgeon (26.6%), and the anesthesiologist (14.9%). The attending and resident surgeons were most likely to report technical errors (52% and 30.6%, respectively), while anesthesiologists and circulating nurses mostly reported anesthesia errors (36%) and communication errors (50%), respectively. The overlap in reported errors was 20.3%. If this study had used only the surveys completed by the attending surgeon, as in prior studies, 72% of equipment errors, 90% of anesthesia and communication errors, and 100% of nursing errors would have been missed. In addition, it would have been concluded that errors occurred in only 45.2% of cases (rather than 93.5%) and that errors resulting in a delay occurred in 3.2% of cases instead of the 74.2% calculated using data from 4 team members. Compiled results from all team members yielded significant correlations between technical DOCs and prolonged hospital stays and reported and actual delays (p = 0.001 and p = 0.028, respectively). CONCLUSIONS This study is the only of its kind to elicit error reporting from multiple members of the operating team, and it demonstrates error is truly in the eye of the beholder—the types and timing of perioperative errors vary based on whom you ask. The authors estimate that previous studies surveying only the attending physician missed up to 75% of perioperative errors. By finding significant correlations between technical DOCs and prolonged hospital stays and reported and actual delays, this study shows that these surveys provide relevant and useful information for improving clinical practice. Overall, the results of this study emphasize that research on medical error must include input from all members of the operating team; it is only by understanding every perspective that surgical staff can begin to efficiently prevent errors, improve patient care and safety, and decrease delays.


2018 ◽  
Vol 46 (10) ◽  
pp. 1611-1622 ◽  
Author(s):  
Won-Woo Park ◽  
Joon Yeol Lew ◽  
Eun Kyung Lee

We examined the relationship between team task knowledge diversity and team creativity, and the moderating role of team status inequality, with a focus on organizational tenure and rank inequality. By adopting an input–process–output framework, we hypothesized that teams would achieve high levels of creativity when they have a large pool of task-relevant expertise that is differentiated and specialized among team members, but the relationship would be weakened when team members have different statuses. We tested our hypotheses using data from 325 teams of employees at 10 companies in South Korea. Results showed that task knowledge diversity was positively associated with team creativity and a team's status inequality in terms of organizational tenure moderated the relationship in a negative way. Our findings contribute to the literature on team creativity by providing new insights regarding how status inequality, which is almost ubiquitous in workplaces, plays a role in a dynamic team process for creativity.


Author(s):  
Mary Barkworth ◽  
Mushtaq Ahmad ◽  
Mudassir Asrar ◽  
Raza Bhatti ◽  
Neil Cobb ◽  
...  

In 2017, funding from the Biodiversity Information Fund for Asia accelerated data mobilization and georeferencing by Pakistani herbaria. The funding directly benefited only two herbaria but, by the end of the project 9 herbaria were involved in sharing data, 2 through GBIF (ISL 2019, SINDH 2019; codes according to Index herbariorum) and 6 others (BANNU 2019, BGH 2019, PUP 2019, QUETTA 2019, RAW 2019, SWAT 2019) through OpenHerbarium, a Symbiota based network. Eventually, all collections in OpenHerbarium are expected to become GBIF data providers. Additional Pakistani herbaria are being introduced to data mobilization and several individuals have expressed interest in learning to use OpenHerbarium to generated documented checklists for teaching and research and others for learning to link information in OpenHerbarium to other resources. These are the first steps to developing a “a large group of individuals … to train, mentor, and champion [biodiversity] data use” in Pakistan, but it is important to remember that good bioidiversity data starts in the field. We need to provide today’s collectors and educators with easy access to a) information about what constitutes a high-quality herbarium specimen; b) tools for making it easier to record and provide high quality specimen data; c) simple mechanisms for sharing data in ways that provide immediately useful resources; and d) learning to make use of the data becoming available. OpenHerbarium addresses the third and fourth needs and also makes it simple for collections to become GBIF data providers. This year, the focus will be on first two of the three steps identified. Introduction of the new resources will be used to introduce collectors and educators to the ideas underlying provision of biodiversity data that is fit for use and reuse. When Symbiota2 is functional, OpenHerbarium will be moved to that system. This will encourage development of additional tools for using biodiversity data. All these activities are essential to helping spread understanding of the concepts integral to biodiversity informatics. It is, of course, possible “to train, build, and champion data use” using data for other parts of the world, or provided by institutions from other parts of the world, but embedding good biodiversity data practices into the fabric of a country’s biodiversity education and research activities better benefits the country if a substantial portion of the data is generated from within the country. It also helps to spread knowledge of the country’s biodiversity among its students. Consequently, our focus in developing Pakistan’s capacity in biodiversity informatics is on engaging collections and collectors in sharing biodiversity data, then helping them discover, use, and create methods for developing the insights needed to encourage wise use of the country’s biological resources, and encouraging interaction. This will lead to a “community of practice” within Pakistan that can both benefit from and contribute to an international “community of practice”.


2020 ◽  
Vol 5 (2) ◽  
pp. 63-76
Author(s):  
Waheeb Albiladi ◽  
Kara Lasater ◽  
Ed Bengtson

This study examines teachers’ and administrators’ use of data to inform their practice in one south-central state. Using a qualitative research approach, the study involved 76 educators representing eight school districts. Data were collected using focus groups with teachers and in-depth interviews with school principals. Data were inductively and deductively analyzed using multiple cycles of coding. Analysis of data revealed three themes that exposed differences in the use of data by teachers and administrators: the challenges of data use, the “levels” at which data are viewed (micro and macro lenses), and the value placed on formal and informal data. Findings suggest that by understanding the differences between teachers’ and administrators’ perspectives on data use and recognizing the common ground that unites their perspectives, schools can create data cultures that foster shared expectations, collaboration, and trust between teachers and administrators.


Names ◽  
2021 ◽  
Vol 69 (3) ◽  
pp. 28-40
Author(s):  
Jurgen Gerhards ◽  
Julia Tuppat

This study investigates why some immigrants choose names for their children that are common in their home country whereas others opt for names used by natives in the host country. Drawing on the sociological literature on symbolic boundaries, the first strategy can be described as boundary-maintenance whereas the second can be classified as boundary-crossing. Using data from the German Socio-Economic Panel Study and applying bivariate and multivariate methods, two broader explanations for name-giving practices are tested: (1) cultural proximity and the permeability of the symbolic boundary between home and host country; and (2) immigrants’ levels of linguistic, structural, social, and emotional integration in the host country. Overall, the theoretical model explains the differences very satisfactorily. Whilst both sets of factors proved relevant to immigrants’ name-giving practices, the immigrants’ level of integration in the host country was less important than the cultural proximity between the origin group and host country.


Author(s):  
Mindy Crain-Dorough ◽  
Adam C. Elder

In this chapter, the authors describe the specific research skills to be developed for prospective principals in preparation for effective data use for school improvement. Relevant background information is provided regarding effective data use leadership, definition of data literacy, standards for principal preparation in data use, research on teaching research methods, and a comparison of the research process and the data-informed decision-making (DIDM) process. These skills are organized and reported in the chapter by steps in the DIDM research process. These steps include goal setting/problem formation, using previous research, planning for data collection, obtaining or collecting data, analyzing data (transforming data into information), and interpreting/taking action/making decisions.


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