scholarly journals A Model for Decision-Makers’ Adoption of Big Data in the Education Sector

2021 ◽  
Vol 13 (24) ◽  
pp. 13995
Author(s):  
Maria Ijaz Baig ◽  
Liyana Shuib ◽  
Elaheh Yadegaridehkordi
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Education Sector ◽  
Security And Privacy ◽  
Relative Advantage ◽  
Equation Modeling ◽  
The University

: Big Data Adoption (BDA) has already gained tremendous attention from executives in various fields. However, it is still not well explored in the education sector, where a large amount of academic data is being produced. Therefore, integrating Technology Organization Environment (TOE) and Diffusion of Innovation (DOI), this study aims to develop a theoretical model to identify the factors that influence BDA in the higher education sector. To do so, significant technology-, organization-, and environment-related factors have been extracted from previous BDA studies. Meanwhile, the moderating effects of the university size and the university age are added into the developed model. A sample of 195 data was collected from the managerial side of virtual university (VU) campuses in Pakistan using an online survey questionnaire. Structural equation modeling (SEM) was used to test the research model and developed hypotheses. The results showed that relative advantage, complexity, compatibility, top management support, financial resources, human expertise and skills, competitive pressure, security and privacy, and government policies are significant determinants of BDA. However, the results did not support the influence of IT infrastructure on BDA. Based on the findings, this study provides guidelines for the successful adoption of big data in higher education sector. This study can serve as a piece of help to the ministry of education, administrators, and big data service providers for the smooth adoption of big data.

scholarly journals The Role of Co-Creating Value and Its Outcomes in Higher Education Marketing

2021 ◽  
Vol 13 (12) ◽  
pp. 6724
Author(s):  
Lien Thi Kim Nguyen ◽  
Tom Meng-Yen Lin ◽  
Hoang Phuong Lam
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
University Image ◽  
Education Marketing ◽  
University Experience ◽  
The University ◽  
Positive Word Of Mouth

This study examines the role of student co-creation behavior in contributing to student satisfaction, perceived university image, and student positive word of mouth (WOM). Using a sample of 513 students from a Taiwanese university and conducting partial least squares structural equation modeling, the findings indicate that co-creating value is critical to student satisfaction, university image, and positive WOM. The results also show the effect of student satisfaction and university image on student positive WOM. This study confirms the pivotal role of student participation in co-creating value in enhancing satisfaction with the university experience, creating and sustaining a positive image, and building the credibility of the university. This research is particularly important to higher education institutions because it has practical implications for decision-makers, brand managers, and HE marketers who wish to improve understanding of the relationship between the university and students in the process of co-creating value and its outcomes.

Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform

2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
English Learning ◽  
Content Type ◽  
Learning Platform ◽  
Perceived Price ◽  
Real Person

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

scholarly journals User-generated content behaviour of the dissatisfied service customer

2014 ◽  
Vol 48 (9/10) ◽  
pp. 1600-1625 ◽  
Author(s):  
Caterina Presi ◽  
Charalampos Saridakis ◽  
Susanna Hartmans
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Service Recovery ◽  
Negative Attitude ◽  
User Generated Content ◽  
Equation Modeling ◽  
Service Experience ◽  
Content Type ◽  
Recovery Strategies

Purpose – This study aims to focus on the motivation of service customers to create user-generated content (UGC) after a negative service experience. In examining this relationship, the moderating role of “extraversion” personality trait is also taken into consideration. Furthermore, the paper examines how differently motivated service customers react to a firm’s service recovery strategies, whilst insights into the relationship between UGC creation and specific online platform usage are also provided. Design/methodology/approach – Structural Equation Modeling is used to test the conceptual model, based on an empirical dataset collected from an online survey research of 239 service customers. The dataset pertains to international travellers and their UGC behaviour after a negative travel experience. Findings – Altruistic, vengeance and economic motivations are strong drivers for UGC creation after a negative service experience. Motivations also correlate to participation in specific online platforms. Furthermore, it is shown that highly extraverted customers create more UGC after a negative service experience when motivated by vengeance. Finally, higher levels of altruistic and self-enhancement motivations correlate with a positive attitude towards a firm’s response, whereas customers who are motivated by vengeance have a negative attitude towards a firm’s response. Practical implications – Customers who share their negative service experience by creating UGC in social media can be segmented according to their motivation. Service providers should inspect the UGC of their customers to understand the motivation behind it. The motivation to create UGC varies across platforms, and hence, customized service recovery strategies are required. Originality/value – This paper examines UGC creation in relation to motivation, extraversion, and attitude towards a firm’s response. This is the first reported application which collectively examines important issues like these in a unified theoretical framework.

Antecedents of e-business adoption intention: an empirical study

2017 ◽  
Vol 9 (4) ◽  
pp. 417-434 ◽  
Author(s):  
Bijoylaxmi Sarmah ◽  
Shreekant Sharma ◽  
Shivam Gupta
Keyword(s):  
Information And Communication Technologies ◽  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Empirical Studies ◽  
Equation Modeling ◽  
Survey Method ◽  
Perceived Behavioral Control ◽  
Content Type ◽  
Adoption Intention

Purpose Recent advances in information and communication technologies has driven emergence and expansion of the internet with decreased computing and communication costs and paved the way for exploring, creating and delivering value to the stakeholders through e-business adoption by the hotel service providers. Keeping this context in mind, this study aims to develop a conceptual model to investigate the antecedent factors of e-business adoption intention among the owners/managers of Indian micro, small and medium hotel enterprises and empirically validates it. Design/methodology/approach Data were gathered from micro, small and medium hotel owners/managers with the help online survey method that resulted into 116 usable questionnaires. Structural equation modeling technique was applied to examine the appropriateness of the hypotheses. Findings Findings reveal that attitude toward e-business, subjective norm and perceived behavioral control positively influences e-business adoption intention among the owners/managers of micro, small and medium hotel enterprises in India. Research limitations/implications The context of this study is micro, small and medium hotel enterprises in India only and thereby limits the generalizability of results to other industry and country context. Practical implications This study offers theoretical and managerial implications to be applied by academicians and micro, small and medium enterprise owners/managers for e-business adoption in Indian hotel industry. Originality value This study can be considered as an extension of the study of Crespo and del Bosque (2008) in which they applied the theory of planned behavior to understand the psychological factors that determine e-business adoption among the managers and, thereby, contribute the existing literature, as empirical studies on e-business adoption intention by micro, small and medium hotel enterprises are scantly available.

scholarly journals Decision support model to adopt big data analytics in higher education systems

2021 ◽  
Vol 8 (6) ◽  
pp. 67-78
Author(s):  
Adel Alkhalil ◽  
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Data Analytics ◽  
Structural Equation ◽  
Data Science ◽  
Big Data Analytics ◽  
Equation Modeling ◽  
Systematic Research ◽  
Education Systems ◽  
Higher Education Systems

Data science or specifically data analytics systems have become an emerging trend in information technology and have attracted many organizations, including higher education. Higher Education Systems (HES) involve very active entities (students, faculty members, researchers, employers) who generate and require large volumes of data that go beyond the structured data stored in the house. The collection, analysis, and visualization of such big data present a huge challenge for HES. Big data analysis could be the solution to this challenge. However, the rationale and decision process for the adoption of big data analytics can be difficult. Such a knowledge-driven process requires a multitude of technical and organizational aspects that must be accounted for to ensure informed decisions are made. Existing research and development indicates that the decision to adopt, although systematic research with a theoretical background is rare and none of the existing studies have considered diffusion of innovation (DOI) theory. This paper aims to support HES, by providing a systematic analysis of the determinants for the decision to adopt big data analytics. An integrated framework referred to as the Technology Organization Environment (TOE) framework is proposed. The proposed framework is validated using structural equation modeling. Eleven determinants are confirmed that influence the TOE-driven framework for data analytics in HES. The result is expected to contribute to on-going research that attempts to address the complex and multidimensional challenge that relates to data science and analytics implementation in HES.

scholarly journals Higher Education Instructors’ Usage of and Learning From Student Evaluations of Teaching – Do Achievement Goals Matter?

2021 ◽  
Vol 12 ◽  
Author(s):  
Julia Hein ◽  
Stefan Janke ◽  
Raven Rinas ◽  
Martin Daumiller ◽  
Markus Dresel ◽  
...  
Keyword(s):  
Higher Education ◽  
Achievement Goals ◽  
Structural Equation ◽  
Online Survey ◽  
Student Evaluations ◽  
Equation Modeling ◽  
Student Evaluations Of Teaching ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Avoidance Goals

Identifying what motivates and hinders higher education instructors in their self-regulated learning from student evaluations of teaching (SETs) is important for improving future teaching and facilitating student learning. According to models of self-regulated learning, we propose a model for the usage of SETs as a learning situation. In a longitudinal study, we investigate the associations between achievement goals and the usage of and learning from SETs in the context of higher education. In total, 407 higher education instructors (46.4% female; 38.60 years on average) with teaching commitments in Germany or Austria reported their achievement goals in an online survey. Out of these participants, 152 instructors voluntarily conducted SET(s) and subsequently reported their intentions to act on the feedback and improve future teaching in a short survey. Using structural equation modeling, we found, in line with our hypotheses, that learning avoidance, appearance approach, and appearance avoidance goals predicted whether instructors voluntarily conducted SET(s). As expected, learning approach and (avoidance) goals were positively associated with intentions to act on received SET-results and improve future teaching. These findings support our hypotheses, are in line with assumptions of self-regulated learning models, and highlight the importance of achievement goals for instructors’ voluntary usage of and intended learning from SET(s). To facilitate instructors’ learning from SET-results, our study constitutes a first step for future intervention studies to build on. Future researchers and practitioners might support instructors’ professional learning by encouraging them to reflect on their SET-results.

scholarly journals Challenges facing students to adopting the blackboard system: The case study of the University of Ha’il in Saudi Arabia

2021 ◽  
Vol 8 (5) ◽  
pp. 1-13
Author(s):  
Alkhaldi et al. ◽  
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Online Survey ◽  
Computer Anxiety ◽  
Moderating Effect ◽  
Learning System ◽  
Equation Modeling ◽  
Learning Platform ◽  
Blackboard System ◽  
The University

This study seeks to identify the challenges facing students through the adoption of a blackboard system at the University of Ha’il in the KSA. Though the blackboard system has an effective role in the educational context, the adoption of the learning system in educational institutes is still in its infancy. However, students face various types of challenges that could affect their adoption and usage of the blackboard system. The previous researches on blackboard systems produced general rules, and studied a lot of common factors, did not consider the specific human factors. This study uses a quantitative research method. An online survey questionnaire was employed for data collection. For data analysis, SPSS was used for descriptive analysis; Structural equation modeling using AMOS software was applied. The results confirmed that the user’s LMS experience leaves a positive effect on the perception of the usefulness of the Blackboard system, but not computer anxiety. In addition, user’s LMS experience has a moderating effect on the relationship between self-efficacy and their perception of the usefulness of the Blackboard system. This moderating effect reflects that the more student’s LMS experience is the more affected their computer self-efficacy to perceive the Blackboard system more useful. This study produces theoretical and practical implications, and recommendations for the University of Ha’il should move forward with a learning platform.

scholarly journals Higher Education Students’ Assessments towards Gamification and Sustainability: A Case Study

2020 ◽  
Vol 12 (20) ◽  
pp. 8513
Author(s):  
María Jesús Santos-Villalba ◽  
Juan José Leiva Olivencia ◽  
Magdalena Ramos Navas-Parejo ◽  
María Dolores Benítez-Márquez
Keyword(s):  
Higher Education ◽  
Student Motivation ◽  
Structural Equation ◽  
Equation Modeling ◽  
Teaching Staff ◽  
Education Students ◽  
The University ◽  
Teaching Criteria

Some academics are pushing for teaching staff to implement didactical practices to obtain sustainable behavior. Moreover, a fundamental element of gamification in all educational stages is the noteworthy effect it has on student motivation. In our study, we examined higher education students’ assessments in the University of Malaga on the design of educational gamification and the teaching criteria that relate to gamification, and its effect on student’s motivation, the applications of gamification, and the attitude towards sustainability. A questionnaire was administered to students studying for degrees in education from the University of Malaga. A total of 187 valid surveys were obtained. Partial least squares structural equation modeling was computed for these data based on an exploratory–confirmatory model and using SmartPLS version 3.3.2. A positive relationship between assessment of students’ motivation and sustainability attitude was found. We found that the opinions of the students about the role of their training and teaching design material in education would affect students’ motivation and the sustainability behavior, although the power of this last construct is moderate.

An acceptance model for smart watches

2015 ◽  
Vol 25 (4) ◽  
pp. 527-541 ◽  
Author(s):  
Ki Joon Kim ◽  
Dong-Hee Shin
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Content Type ◽  
Psychological Determinants ◽  
Smart Watch ◽  
Acceptance Model

Purpose – The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs. Design/methodology/approach – An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM. Findings – The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively. Originality/value – Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

scholarly journals Investigating the Determinants and Barriers of Purchase Intention of Innovative New Products

2021 ◽  
Vol 13 (2) ◽  
pp. 740
Author(s):  
Daeseong An ◽  
Seonggoo Ji ◽  
Ihsan Ullah Jan
Keyword(s):  
New Product Development ◽  
Purchase Intention ◽  
Structural Equation ◽  
Quantitative Research ◽  
Online Survey ◽  
Reasoned Action ◽  
New Product ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Negative Effect

The purpose of this study was to examine the purchase intention of innovative new product (e.g., Galaxy Fold) by integrating behavioral reasoning theory (BRT) to the theory of reasoned action (TRA) and theory of planned behavior (TPB) to test the relative influence of reasons for and reasons against adoption on purchase attitude and purchase intention of Korean consumers. A quantitative research method via an online survey was conducted to test the proposed hypotheses. The sample of the study was 242 Korean consumers who participated in the online survey. Structural equation modeling was conducted by using AMOS 21.0 to test the proposed relationships. The findings showed that value for changes positively related to the reasons for adoption and negatively related to reasons against adoption. Reasons for adoption (e.g., relative advantage, compatibility, simplicity) have a significant positive effect on the purchase attitude, and reasons against adoption (e.g., price barrier, performance barrier, usage barrier) have a significant negative effect on the purchase attitude. Finally, purchase attitude has a significant positive relationship to the purchase intention of innovative new product. The findings of this study offer significant theoretical and managerial contributions in the context of sustainable innovative new product development.

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