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1 – 10 of 10Hossein Olya, Mathilda Van Niekerk, Babak Taheri and Martin Joseph Gannon
Thomas G. Cech, Trent J. Spaulding and Joseph A. Cazier
The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and…
Abstract
Purpose
The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and deliberate use of data in secondary education.
Design/methodology/approach
Although the model is new, its implications, and its application are derived from key findings and best practices from the software development, data analytics and secondary education performance literature. These principles can guide educators to better manage student and operational outcomes. This work builds and applies the DCMM model to secondary education.
Findings
The conceptual model reveals significant opportunities to improve data-driven decision making in schools and local education agencies (LEAs). Moving past the first and second stages of the data competency maturity model should allow educators to better incorporate data into the regular decision-making process.
Practical implications
Moving up the DCMM to better integrate data into their decision-making process has the potential to produce profound improvements for schools and LEAs. Data science is about making better decisions. Understanding the path laid out in the DCMM to helping an organization move to a more mature data-driven decision-making process will help improve both student and operational outcomes.
Originality/value
This paper brings a new concept, the DCMM, to the educational literature and discusses how these principles can be applied to improve decision making by integrating them into their decision-making process and trying to help the organization mature within this framework.
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Maria Palazzo, Pantea Foroudi and Maria Antonella Ferri
This paper aims at exploring the relations amongst the concepts of customer relationship management (CRM), convenience, trust, perceived service quality, satisfaction, perceived…
Abstract
Purpose
This paper aims at exploring the relations amongst the concepts of customer relationship management (CRM), convenience, trust, perceived service quality, satisfaction, perceived value, loyalty, image and purchase intention in the hotel sector.
Design/methodology/approach
The research was conducted using interviews with hospitality managers and guests who had a direct connection with the hotel industry. According to the qualitative study results and literature review, the authors designed a model that was examined via structural equation modelling and fuzzy set qualitative comparative analysis.
Findings
This paper presents a conceptual framework that enhances existing research in the field of study, as it was implemented to measure the antecedent and consequences of perceived service quality. Based on the results from New York and London, the authors found that CRM and convenience have significant impact on perceived service quality. Interestingly, the aggregated data illustrate the negative relationship between image, loyalty and purchase intention.
Originality/value
The approach used by this study is partially in line with previous theoretical analyses and shows appealing patterns in international service quality perception. Besides, the paper adds insights into the realm, linking together different dimensions in order to reach an in-depth understanding and complex analysis of each item that affects and is affected by perceived service quality in the hotel industry.
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Garry John Stevens, Tobias Bienz, Nidhi Wali, Jenna Condie and Spyros Schismenos
Following the rapid shift to online learning due to COVID-19, this paper aims to compare the relative efficacy of face-to-face and online university teaching methods.
Abstract
Purpose
Following the rapid shift to online learning due to COVID-19, this paper aims to compare the relative efficacy of face-to-face and online university teaching methods.
Design/methodology/approach
A scoping review was conducted to examine the learning outcomes within and between online and face-to-face (F2F) university teaching programmes.
Findings
Although previous research has supported a “no significant difference” position, the review of 91 comparative studies during 2000–2020 identified 37 (41%) which found online teaching was associated with better learning outcomes, 17 (18%) which favoured F2F and 37 (41%) reporting no significant difference. Purpose-developed online content which supports “student-led” enquiry and cognitive challenge were cited as factors supporting better learning outcomes.
Research limitations/implications
This study adopts a pre-defined methodology in reviewing literature which ensures rigour in identifying relevant studies. The large sample of studies (n = 91) supported the comparison of discrete learning modes although high variability in key concepts and outcome variables made it difficult to directly compare some studies. A lack of methodological rigour was observed in some studies.
Originality/value
As a result of COVID-19, online university teaching has become the “new normal” but also re-focussed questions regarding its efficacy. The weight of evidence from this review is that online learning is at least as effective and often better than, F2F modalities in supporting learning outcomes, albeit these differences are often modest. The findings raise questions about the presumed benefits of F2F learning and complicate the case for a return to physical classrooms during the pandemic and beyond.
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