Access services statistics: showing our story through LibInsight

2020 ◽  
Vol 37 (5) ◽  
pp. 17-20
Author(s):  
Bethany Badgett Sewell ◽  
Amanda Cowell
Keyword(s):  
New Jersey ◽  
Data Collection ◽  
Design Methodology ◽  
Historical Data ◽  
Decision Makers ◽  
Library Services ◽  
Data Sets ◽  
Content Type ◽  
Industry Standards ◽  
Access Services

Purpose The purpose of this paper is to evaluate the Springshare tool LibInsight, and describe the ways it was implemented at the R. Barbara Gitenstein Library at The College of New Jersey. Design/methodology/approach Going beyond traditional data collection, LibInsight allows the library to blend and analyze library data in a single dashboard. It enables decision-makers to see analytics presented visually, identify new patterns and quickly address problems or opportunities. LibInsight can visualize, evaluate and assess library services and collections and compare them both internally and against industry standards. Findings Historical data for data sets ranging from gate counts and circulation were uploaded into LibInsight. In addition, custom data sets were created and new data, such as patron activity at the circulation desk, was collected. Originality/value This is a review of the product, LibInsight, and data sets kept in access services.

Does hotel cleanliness correlate with surfaces guests contact?

2019 ◽  
Vol 31 (7) ◽  
pp. 2933-2950 ◽  
Author(s):  
Haeik Park ◽  
Sheryl Fried Kline ◽  
Jooho Kim ◽  
Barbara Almanza ◽  
Jing Ma
Keyword(s):  
Data Collection ◽  
Empirical Data ◽  
Design Methodology ◽  
Mechanical Turk ◽  
Amazon Mechanical Turk ◽  
Data Sets ◽  
Holistic View ◽  
Content Type ◽  
Public Areas ◽  
Collection Methods

Purpose This study aims to strengthen implications about hotel cleaning outcomes by comparing guests’ perception of the amount of contact they have with cleanliness of hotel surfaces. Design/methodology/approach This study used two data-collection methods, a survey and an adenosine triphosphate (ATP) test. Data were collected from recent hotel guests using Amazon Mechanical Turk. Guests were asked to identify hotel surfaces that they touch most frequently. Actual hotel cleanliness was measured using empirical data collected with ATP meters. The two data sets were used to compare guests’ perceptions about the amount of contact they have with actual cleanliness measurements of those hotel surfaces. Findings This study found that amount of guest contact was related to cleanliness of surfaces in guestrooms. Significant differences were found in guest perception between high- and low-touch areas and between guestrooms and hotel public areas. More high-touch areas and higher ATP readings were found in guestrooms than in hotel public areas. Originality/value To the best of the authors’ knowledge this study is the first to compare guest contact with hotel surfaces to a scientific measure of hotel cleanliness. In addition, this study is unique because it assesses guest contact and cleanliness of public areas to provide a holistic view of hotel-cleaning needs. The study offers industry empirically based results from guest perception and scientifically based data that can be used to improve hotel housekeeping programs.

The relative decision-making algorithm for ranking data

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yin-Ju Chen ◽  
Jian-Ming Lo
Keyword(s):  
Decision Making ◽  
Rough Set ◽  
Design Methodology ◽  
Rough Set Theory ◽  
Decision Makers ◽  
Data Sets ◽  
Ranking Data ◽  
Data Set ◽  
Content Type ◽  
Relative Concept

PurposeDecision-making is always an issue that managers have to deal with. Keenly observing to different preferences of the targets provides useful information for decision-makers who do not require too much information to make decisions. The main purpose is to avoid decision-makers in a dilemma because of too much or opaque information. Based on problem-oriented, this research aims to help decision-makers to develop a macro-vision strategy that fits the needs of different clusters of customers in terms of their favorite restaurants. This research also focuses on providing the rules to rank data sets for decision-makers to make choices for their favorite restaurant.Design/methodology/approachWhen the decision-makers need to rethink a new strategic planning, they have to think about whether they want to retain or rebuild their relationship with the old consumers or continue to care for new customers. Furthermore, many of the lecturers show that the relative concept will be more effective than the absolute one. Therefore, based on rough set theory, this research proposes an algorithm of related concepts and sends questionnaires to verify the efficiency of the algorithm.FindingsBy feeding the relative order of calculating the ranking rules, we find that it will be more efficient to deal with the faced problems.Originality/valueThe algorithm proposed in this research is applied to the ranking data of food. This research proves that the algorithm is practical and has the potential to reveal important patterns in the data set.

Improving recommender systems’ performance on cold-start users and controversial items by a new similarity model

2016 ◽  
Vol 12 (2) ◽  
pp. 126-149 ◽  
Author(s):  
Masoud Mansoury ◽  
Mehdi Shajari
Keyword(s):  
Real World ◽  
Design Methodology ◽  
Cold Start ◽  
Selection Function ◽  
Data Sets ◽  
Real World Data ◽  
Content Type ◽  
User Similarity ◽  
Active User ◽  
Similarity Model

Purpose This paper aims to improve the recommendations performance for cold-start users and controversial items. Collaborative filtering (CF) generates recommendations on the basis of similarity between users. It uses the opinions of similar users to generate the recommendation for an active user. As a similarity model or a neighbor selection function is the key element for effectiveness of CF, many variations of CF are proposed. However, these methods are not very effective, especially for users who provide few ratings (i.e. cold-start users). Design/methodology/approach A new user similarity model is proposed that focuses on improving recommendations performance for cold-start users and controversial items. To show the validity of the authors’ similarity model, they conducted some experiments and showed the effectiveness of this model in calculating similarity values between users even when only few ratings are available. In addition, the authors applied their user similarity model to a recommender system and analyzed its results. Findings Experiments on two real-world data sets are implemented and compared with some other CF techniques. The results show that the authors’ approach outperforms previous CF techniques in coverage metric while preserves accuracy for cold-start users and controversial items. Originality/value In the proposed approach, the conditions in which CF is unable to generate accurate recommendations are addressed. These conditions affect CF performance adversely, especially in the cold-start users’ condition. The authors show that their similarity model overcomes CF weaknesses effectively and improve its performance even in the cold users’ condition.

What would I change the next time? A confessional tale of in‐depth qualitative data collection

2012 ◽  
Vol 12 (1) ◽  
pp. 98-110 ◽  
Author(s):  
Claire Smith
Keyword(s):  
Data Collection ◽  
Design Methodology ◽  
Qualitative Data ◽  
Content Type ◽  
Qualitative Data Collection

PurposeThe purpose of this paper is to discuss how fieldwork impacted the author's own and one participant's positioning; the author's reflexivity, experiences and feelings of alterity; the participant's performances and conversations between the author and participant.Design/methodology/approachThe author uses a confessional tale to describe the time spent with the participant and confesses how it impacted on the author as the researcher. The author examines her biases, feelings, and vulnerabilities, and explores some of the methodological and positioning issues with which she struggled.FindingsThe author ponders on what she learned while being in such close quarters with a participant and discusses what she should keep in mind about herself as the researcher during subsequent data collection forays. Researchers should know themselves well before attempting such closeness because when we are researchers, we can’t change who we are as people.Originality/valueIt is believed that the extreme researcher/participant closeness was unique but was, at the same time, an extremely useful form of data collection.

Size does matter – span of control in hospitals

2017 ◽  
Vol 31 (2) ◽  
pp. 192-206 ◽  
Author(s):  
Christina Holm-Petersen ◽  
Sussanne Østergaard ◽  
Per Bo Noergaard Andersen
Keyword(s):  
Design Methodology ◽  
Hospital Staff ◽  
Leadership Capacity ◽  
Decision Makers ◽  
Span Of Control ◽  
Content Type ◽  
Frontline Leaders ◽  
Practical Implications

Purpose Centralization, mergers and cost reductions have generally led to increasing levels of span of control (SOC), and thus potentially to lower leadership capacity. The purpose of this paper is to explore how a large SOC impacts hospital staff and their leaders. Design/methodology/approach The study is based on a qualitative explorative case study of three large inpatient wards. Findings The study finds that the nursing staff and their frontline leaders experience challenges in regard to visibility and role of the leader, e.g., in creating overview, coordination, setting-up clear goals, following up and being in touch. However, large wards also provide flexibility and development possibilities. Practical implications The authors discuss the implications of these findings for decision makers in deciding future SOC and for future SOC research. Originality/value Only few studies have qualitatively explored the consequences of large SOC in hospitals.

How “The Three Rules” guide strategy and investment decisions at Deloitte Consulting LLP

2015 ◽  
Vol 43 (3) ◽  
pp. 7-14 ◽  
Author(s):  
Jim Moffatt
Keyword(s):  
Design Methodology ◽  
Large Scale ◽  
Investment Decisions ◽  
Decision Makers ◽  
Research Project ◽  
Content Type ◽  
First Case ◽  
Practical Implications ◽  
Thought Leadership

Purpose – This case example looks at how Deloitte Consulting applies the Three Rules synthesized by Michael Raynor and Mumtaz Ahmed based on their large-scale research project that identified patterns in the way exceptional companies think. Design/methodology/approach – The Three Rules concept is a key piece of Deloitte Consulting’s thought leadership program. So how are the three rules helping the organization perform? Now that research has shown how exceptional companies think, CEO Jim Moffatt could address the question, “Does Deloitte think like an exceptional company?” Findings – Deloitte has had success with an approach that promotes a bias towards non-price value over price and revenue over costs. Practical implications – It’s critical that all decision makers in an organization understand how decisions that are consistent with the three rules have contributed to past success as well as how they can apply the rules to difficult challenges they face today. Originality/value – This is the first case study written from a CEO’s perspective that looks at how the Three Rules approach of Michael Raynor and Mumtaz Ahmed can foster a firm’s growth and exceptional performance.

Jumping to conclusions – an analysis of the NBA Draft Combine athleticism data and its influence on managerial decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Berger ◽  
Frank Daumann
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Predictive Power ◽  
Principal Component ◽  
Decision Makers ◽  
Decision Quality ◽  
Managerial Behavior ◽  
Managerial Decision ◽  
Content Type ◽  
Selection Behavior

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.

G-GERT network model of online public opinion reversal based on kernel and grey degree

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shuli Yan ◽  
Xiangyan Zeng ◽  
Pingping Xiong ◽  
Na Zhang
Keyword(s):  
Public Opinion ◽  
Network Model ◽  
Design Methodology ◽  
Average Frequency ◽  
Decision Makers ◽  
Content Type ◽  
Gert Network ◽  
Frequency Probability ◽  
And Control ◽  
Difficult Issue

PurposeIn recent years, online public opinion reversal incidents have been occurring frequently, which has increased the complexity of the evolution of online public opinion, and they have become a difficult issue for public opinion management and control. It is of great significance to explore the regularity of online public opinion reversal.Design/methodology/approachCombined with the grey characteristics of online public opinion information, a grey graphical evaluation review technique (G-GERT) network model is constructed based on kernel and grey degree, and the frequency, probability and time of online public opinion reversal nodes are calculated using C-marking method and Z-marking method.FindingsThroughout the online public opinion reversal events, there are all repeated outbreak nodes occurring, so the authors regard the repeated occurrence of outbreak nodes as reversal. According to the average frequency, probability and time of repeated outbreak nodes in the G-GERT network model, the authors predict the corresponding key information of reversal. It can simulate the evolution process of public opinion events accurately.Originality/valueThe G-GERT network model based on kernel and grey degree reveals the regulation of public opinion reversal, predicts the frequency, probability and time of reversal nodes, which are the most concerned and difficult issues for decision-makers. The model provides the decision basis and reference for government decision-making departments.

Website traffic measurement and rankings: competitive intelligence tools examination

2018 ◽  
Vol 14 (4) ◽  
pp. 423-437 ◽  
Author(s):  
David Prantl ◽  
Martin Prantl
Keyword(s):  
Design Methodology ◽  
State Of The Art ◽  
Competitive Intelligence ◽  
Data Sets ◽  
Traffic Data ◽  
Content Type ◽  
Traffic Measurement ◽  
Data Estimation ◽  
Research Studies

PurposeThe purpose of this paper is to examine and verify the competitive intelligence tools Alexa and SimilarWeb, which are broadly used for website traffic data estimation. Tested tools belong to the state of the art in this area.Design/methodology/approachThe authors use quantitative approach. Research was conducted on a sample of Czech websites for which there are accurate traffic data values, against which the other data sets (less accurate) provided by Alexa and SimilarWeb will be compared.FindingsThe results show that neither tool can accurately determine the ranking of websites on the internet. However, it is possible to approximately determine the significance of a particular website. These results are useful for another research studies which use data from Alexa or SimilarWeb. Moreover, the results show that it is still not possible to accurately estimate website traffic of any website in the world.Research limitations/implicationsThe limitation of the research lies in the fact that it was conducted solely in the Czech market.Originality/valueSignificant amount of research studies use data sets provided by Alexa and SimilarWeb. However, none of these research studies focus on the quality of the website traffic data acquired by Alexa or SimilarWeb, nor do any of them refer to other studies that would deal with this issue. Furthermore, authors describe approaches to measuring website traffic and based on the analysis, the possible usability of these methods is discussed.

A family’s battle to understand “challenging behaviour”

2017 ◽  
Vol 22 (2) ◽  
pp. 99-104
Author(s):  
David Jack ◽  
Jill Jack
Keyword(s):  
Design Methodology ◽  
Decision Makers ◽  
Lost Cause ◽  
Small Contribution ◽  
Challenging Behaviour ◽  
Content Type ◽  
Care System

Purpose This is about the authors’ son James’ life. The purpose of this paper is to share a story of misfortune and a battle to find answers in which the greatest enemy was ignorance. Such experiences are not uncommon. It is the authors hope that sharing this will make some small contribution to bringing about change. Design/methodology/approach The authors discuss the experiences of care placements, and the battle to understand “challenging behaviour”. Findings Reflecting upon James’ experiences of the care system, it is clear that the system is fragmented and operates in silos that do not work together. Decision makers were all too often individuals not qualified to assess James’ needs and therefore implement appropriate solutions. The outcome was repeated failure which resulted in the view that he was a lost cause. Originality/value Such cruelty as James has experienced should be recognised and banished forever.

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