Cross-Cultural Differences in Perceptions of E-Learning Usability

2010 ◽  
pp. 1497-1517
Author(s):  
Panagiotis Zaharias
Keyword(s):  
Empirical Studies ◽  
Cultural Perspective ◽  
Learning Context ◽  
Cultural Considerations ◽  
Cross Cultural Differences ◽  
Systems Research ◽  
Information Systems Research ◽  
E Learning ◽  
South Eastern Europe ◽  
And Performance

E-learning is gaining momentum in corporate settings as an alternative and supplementary solution to learning and performance problems. Users of e-learning applications and courses differ across regional, linguistic, and country boundaries and user requirements are strongly influenced by their local cultural perspective. Thus e-learning design needs to be sensitive to cultural parameters. Yet, there are very few empirical studies that investigate e-learningdesign and usability issues from a cultural perspective. This study: (a) discusses the cultural considerations in human computer interaction and information systems research and the specificities of usability in e-learning context, (b) focuses on the usability evaluation of e-learning courses within an international e-learning pilot initiative. Employees from four user organizations representing four countries in South Eastern Europe participated as users of the e-learning courses and evaluated their usability.

scholarly journals The Responsiveness of Teacher Education Managers at an ODeL College to Resilience and the Well-Being of Staff Working from Home During COVID-19

2021 ◽  
Vol 7 (4) ◽  
pp. 623-635
Author(s):  
Micheal M. ◽  
Christy J. ◽  
Samson L. ◽  
Fulufhelo Mukhati
Keyword(s):  
Teacher Education ◽  
Mixed Method ◽  
Well Being ◽  
Learning Context ◽  
Working From Home ◽  
Mixed Method Design ◽  
E Learning ◽  
Operational Practices ◽  
And Performance ◽  
Education Managers

<p style="text-align: justify;">The Coronavirus disease (COVID-19) pandemic has increased anxiety and stress among teacher education managers and has given rise to the question of whether they have the competencies to execute their operational responsibilities productively. The theories of resilience and transformational leadership underpin this study in which teacher education managers’ resilience and their responsiveness to the well-being of staff executing their operational practices in an open distance e-learning context were explored. A qualitative approach was adopted and virtual video conferencing interviews with teacher education managers were used to explore how they mitigated their strategic and operational roles and their managerial functions to ensure the well-being and organisational performance of staff working from home. Results revealed the experiences of distance managers to have been positive in that they implemented organisational strategies to mitigate the challenges faced to ensure wellness and performance among staff working from a distance. Further research applying a mixed-method design should be undertaken to determine how resilient managers and staff working from home are. That may yield different results.</p>

scholarly journals A Model for e-Learning Systems Success: Systems, Determinants, and Performance

2017 ◽  
Vol 12 (10) ◽  
pp. 4 ◽  
Author(s):  
Ismail M. Romi
Keyword(s):  
Information And Communication Technologies ◽  
Learning Systems ◽  
Learning System ◽  
Learning Context ◽  
Learner Performance ◽  
Learning Success ◽  
Proposed Model ◽  
System Components ◽  
E Learning ◽  
And Performance

E-learning is used by higher education institutions and corporate training institutes as a means of solving performance problems, and the accessibility to educational technology which considered as vital for acquisition and dissemination of knowledge to students, as well as interaction between instructors and students. To determine technological solutions for those institutions, an analysis to the literature, and related theories have been conducted depending on the context impact to e-learning system, as well as the interrelationship between e-learning system components and its impact on learner performance. The main findings show that e-learning system is composed of four components, mainly; the instructor, learner, course, and information and communication technologies (ICT), in addition to the context determinants of e-learning system success. The current study, proposed a model for e-learning success, which incorporates eight factors, mainly; e-learning context that include individual, institutional, and environmental determinants to e-learning success. In addition to e-learning components which include instructor, learner, course, and ICT. As well as the learner performance, that aims to measure e-learning success. The proposed model was designed to integrate prior research in the area of e-learning, where it adds set of determinants to e-learning systems success, and find out the best fit of e-learning system components. Moreover, educational institutions can use this proposed model.

Understanding Collaboration Success in Context of Cognitive and Social Presence

2011 ◽  
Vol 1 (3) ◽  
pp. 18-33 ◽  
Author(s):  
Amit V. Deokar ◽  
Thomas O. Meservy ◽  
Joel H. Helquist ◽  
John Kruse
Keyword(s):  
Information Systems ◽  
Social Presence ◽  
Exploratory Study ◽  
Cognitive Presence ◽  
Systems Research ◽  
Information Systems Research ◽  
Systems Collaboration ◽  
E Learning ◽  
Collaborative Efforts

Collaboration and the success of collaborative efforts has been the focus of much information systems research. Recent measures of collaboration success include effectiveness, efficiency, productivity, commitment, satisfaction with the process, and satisfaction with the outcome. While the possible antecedents of collaboration success are varied, this paper suggests that constructs from the e-learning literature that evolved independently from the information systems collaboration literature can be used to explain differences in perceived collaboration success. Results from a recent exploratory study demonstrate that cognitive presence and social presence explain a large amount of the variance of different collaboration success metrics.

Information Systems Research in China

2010 ◽  
pp. 258-272
Author(s):  
Shaobo Ji ◽  
Qingfei Min ◽  
Weihe Han
Keyword(s):  
Information Systems ◽  
Empirical Studies ◽  
Mainland China ◽  
Research Papers ◽  
Is Research ◽  
Systems Research ◽  
Research Activities ◽  
Units Of Analysis ◽  
Information Systems Research ◽  
Review Current

The purpose of this study is to review current research activities concerning information systems (IS) in mainland China. We thus examined Chinese IS research with reference to discipline, research topic, research method, and units of analysis, identifying and reviewing a total of 604 research papers, published in 18 leading Chinese academic journals from 1999 to 2003. The results show that: (1) IS itself represents the major theoretical reference of the studies; (2) the IS research in China has clearly focused on organizational and system/software issues; (3) non-empirical studies were dominant in the field of IS research in China; and (4) the majority of studies were conducted at an organizational or systemic level.

Understanding Collaboration Success in Context of Cognitive and Social Presence

2013 ◽  
pp. 91-107
Author(s):  
Amit V. Deokar ◽  
Thomas O. Meservy ◽  
Joel H. Helquist ◽  
John Kruse
Keyword(s):  
Information Systems ◽  
Social Presence ◽  
Exploratory Study ◽  
Cognitive Presence ◽  
Systems Research ◽  
Information Systems Research ◽  
Systems Collaboration ◽  
E Learning ◽  
Collaborative Efforts

Collaboration and the success of collaborative efforts has been the focus of much information systems research. Recent measures of collaboration success include effectiveness, efficiency, productivity, commitment, satisfaction with the process, and satisfaction with the outcome. While the possible antecedents of collaboration success are varied, this paper suggests that constructs from the e-learning literature that evolved independently from the information systems collaboration literature can be used to explain differences in perceived collaboration success. Results from a recent exploratory study demonstrate that cognitive presence and social presence explain a large amount of the variance of different collaboration success metrics.

Introduction

2006 ◽  
pp. 1-11
Author(s):  
Yair Levy
Keyword(s):  
Learning Environments ◽  
Learning Systems ◽  
Mediated Learning ◽  
Perceived Effectiveness ◽  
Effective Factors ◽  
Systems Research ◽  
Information Systems Research ◽  
E Learning ◽  
Broad Framework ◽  
Private Corporations

Many universities and private corporations are investing significant capital in e-learning systems. Full understanding of the factors contributing to learners’ perceived effectiveness of e-learning systems will help institutions channel funding to effective factors and redesign or eliminate non-effective factors. However, learners’ perceived effectiveness of such systems has not been fully explored in prior studies. Piccoli, Ahmad, and Ives (2001) argue that interest in e-learning environments is growing rapidly; however, “a broad framework identifying the theoretical constructs and relationships in this domain has yet to be developed” (p. 403). Alavi and Leidner (2001b) concluded that “research that helps uncover the important attributes of VLS [virtual learning systems]…will be critical to our understanding of VLS effectiveness” (p. 30). In prior study, Alavi and Leidner (2001a) also concluded that: “most of the recent attempts at studying TML [technology mediated learning] in IS [information systems] research tended to adopt an overly simplistic view of this phenomenon” (p. 9).

scholarly journals Towards an understanding of technology fit and appropriation in business networks: evidence from blockchain implementations

2020 ◽  
Author(s):  
Stefan Seebacher ◽  
Ronny Schüritz ◽  
Gerhard Satzger
Keyword(s):  
Business Processes ◽  
New Technologies ◽  
Business Networks ◽  
Group Level ◽  
Blockchain Technology ◽  
Systems Research ◽  
Information Systems Research ◽  
Potential Factors ◽  
And Performance ◽  
The Impact

Abstract Existing information systems research thoroughly explains how task-technology fit and appropriation affect performance on an individual or group level. This was appropriate for many years, as technology is typically used to fulfill a certain task on these levels. Today, however, companies are tightly interconnected and rely on business networks to develop, produce, and deliver products and services. They collaboratively engage in joint implementation and utilization of new technologies that are applied and integrated into their business processes. These technologies, such as the newly introduced blockchain technology, operate across business networks and, thus, unfold their benefits not only on an individual or group level, but ideally on a network level. On this level, though, knowledge of the application and performance of information technology is still scarce. To drive the performance of technology in such networks, we investigate the impact of fit and technology appropriation on a network level. Due to the technology’s expected impact and characteristics, we select blockchain technology to explore potential factors, impacting fit, appropriation and, in turn, performance. We draw upon a set of interviews with experts that have implemented blockchain solutions in large business network settings. Based on our analysis, we propose a comprehensive model elevating the Fit-Appropriation Model to a network level. We contribute to the general understanding of technology utilization and performance by extending existing theory to a network-level perspective. Using insights on blockchain implementations as our empirical base, we also provide guidance to business leaders, intending to connect their partners through blockchain technology.

Meta-analysis in information systems research: method choices and recommendations for future research

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Markus Blut
Keyword(s):  
Information Systems ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Analytical Techniques ◽  
Problem Formulation ◽  
Future Research ◽  
Content Type ◽  
Systems Research ◽  
Information Systems Research ◽  
Meta Analyses

PurposeThe use of meta-analysis in information systems (IS) research has increased. Because this research domain has matured and an increasing number of empirical studies have become available, meta-analysis is now perceived as a useful approach to synthesize an increasing body of empirical research. The present paper gives an overview of meta-analytical techniques, the evolution of meta-analysis in IS, the focus of these studies and method choices made by authors.Design/methodology/approachThis overview is based on 100 meta-analysis studies published in IS journals. These meta-analytical studies synthesize data from 6,262 empirical studies, and the meta-analyses were published between 1989 and 2020. The studies were coded with regard to 16 major method choices that IS researchers made when conducting meta-analyses.FindingsThis overview describes the key areas of meta-analysis (e.g. strategy and firm performance) and the journals that publish the meta-analysis. This overview also identifies method issues where meta-analyses have improved in recent years as well as issues that require some attention. Scholars receive guidance about good practices in terms of 16 major method choices related to (1) problem formulation, (2) literature search, (3) coding information, (4) analyzing and integrating effect sizes and (5) interpreting results and reporting findings.Originality/valueAddressing the identified method issues helps authors of future meta-analyses to increase the transparency of reporting and the likelihood of getting published. The substantive findings of a meta-analysis also often depend on researchers' method choices. Similar overviews exist for other disciplines, such as marketing and management.

A Bridge Too Far?

2018 ◽  
Author(s):  
Charlotte P. Lee ◽  
Kjeld Schmidt
Keyword(s):  
Information Systems ◽  
Science And Technology Studies ◽  
Large Scale ◽  
Cooperative Work ◽  
Computer Supported Cooperative Work ◽  
Practical Action ◽  
Systems Research ◽  
Information Infrastructures ◽  
Information Systems Research ◽  
Critical Investigation

The study of computing infrastructures has grown significantly due to the rapid proliferation and ubiquity of large-scale IT-based installations. At the same time, recognition has also grown of the usefulness of such studies as a means for understanding computing infrastructures as material complements of practical action. Subsequently the concept of “infrastructure” (or “information infrastructures,” “cyberinfrastructures,” and “infrastructuring”) has gained increasing importance in the area of Computer-Supported Cooperative Work (CSCW) as well as in neighboring areas such as Information Systems research (IS) and Science and Technology Studies (STS). However, as such studies have unfolded, the very concept of “infrastructure” is being applied in different discourses, for different purposes, in myriad different senses. Consequently, the concept of “infrastructure” has become increasingly muddled and needs clarification. The chapter presents a critical investigation of the vicissitudes of the concept of “infrastructure” over the last 35 years.

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