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The Open University of Sri Lanka (OUSL) is the only institution to deliver legal education through Open and Distance Learning (ODL) in Sri Lanka. This study aims to analyze technology usage in learning and teaching law in the ODL under OUSL to evaluate the accessibility and also challenges.

A combination of qualitative and quantitative methodologies has been used for the study. This includes both interviews with teachers and surveying among students on the usage of technology in learning and teaching law at OUSL. Since the LL.B Degree Programme of OUSL delivered at six regional centres in Sri Lanka, this study also includes the comparative analysis of technology usage in teaching and learning at selected regional centres.

The findings indicate that the majority of students have access to technology through mobile phones and are aware of blended learning. Even though they prefer to integrate blended learning with learning law, they do not prefer learning entirely online. Social media and mobile applications are the most preferred modes of blended learning by students. It is also acknowledged that the internal staff has knowledge and access to the use of technology in teaching law while the external staff faces challenges and is in need of adequate training.

The original contribution of this article provides insightful guidelines not only to the OUSL of Sri Lanka but also to the institutions offering similar disciplines through ODL to understand lecturers, learners in the future integration of technology.

The purpose of this case study is to investigate how the personnel in an organization experienced the process of change when moving from private offices to an activity-based office (ABO) and how their perceptions of change were associated with changes in their satisfaction with the work environment a year after relocation.

A comparative pre-post study design and mixed methods were used. Survey data was obtained from 154 employees before the relocation and 146 after the relocation. The data on the 105 employees who responded to both surveys were statistically analyzed. Representatives of different units were interviewed (n = 17) and documentary material was analyzed as complementary material.

The personnel’s criticisms concerned the reasons for the change, their opportunities to influence the office design and the extent to which their views were taken into account. Environmental satisfaction decreased after moving to the ABO. The personnel’s ratings of the workplace change process before the relocation were associated with the later change in environmental satisfaction. Based on logistic regression, the degree of agreement with management’s reasons for the change was the strongest predictor of the change in environmental satisfaction.

Organizations that move from private offices to an ABO should invest in high-quality change management and simultaneously develop both work and facilities. Special attention should be paid to clarifying the rationale for the change to the employees and to providing them with opportunities to influence during the change. Organizations should continue to monitor user experiences and evaluate the effects of the change after the office redesign and should take corrective action as needed.

This empirical case study is unique as it combined qualitative and quantitative methods and investigated the process of relocation and its outcomes in a one-year follow-up. This approach captured the importance of managing change and assessing the long-term effects of office redesign when moving from private offices to an ABO.

Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer vision models are generally considered to be black boxes due to poor interpretability. These have exacerbated user distrust and further forestalled their widespread deployment in practical usage. This paper aims to develop explainable DL models for autonomous driving by jointly predicting potential driving actions with corresponding explanations. The explainable DL models can not only boost user trust in autonomy but also serve as a diagnostic approach to identify any model deficiencies or limitations during the system development phase.

This paper proposes an explainable end-to-end autonomous driving system based on “Transformer,” a state-of-the-art self-attention (SA) based model. The model maps visual features from images collected by onboard cameras to guide potential driving actions with corresponding explanations, and aims to achieve soft attention over the image’s global features.

The results demonstrate the efficacy of the proposed model as it exhibits superior performance (in terms of correct prediction of actions and explanations) compared to the benchmark model by a significant margin with much lower computational cost on a public data set (BDD-OIA). From the ablation studies, the proposed SA module also outperforms other attention mechanisms in feature fusion and can generate meaningful representations for downstream prediction.

In the contexts of situational awareness and driver assistance, the proposed model can perform as a driving alarm system for both human-driven vehicles and autonomous vehicles because it is capable of quickly understanding/characterizing the environment and identifying any infeasible driving actions. In addition, the extra explanation head of the proposed model provides an extra channel for sanity checks to guarantee that the model learns the ideal causal relationships. This provision is critical in the development of autonomous systems.

This paper explores flexible working practices (FWPs) and takes a critical view that argues a need to consider not only access to digital technological resources but also the vast array of factors that constrain one’s ability to use technology for its intended benefits, as constituting the digital divide post-COVID-19 lockdown.

Using a critical evaluation of the extant literature, we engage in a conceptual undertaking to develop theoretical propositions that form the basis for future empirical undertakings. To theoretically ground the arguments raised, we deploy the ontological lens of actor-network theory to illuminate the socio-technical dimensions of the digital divide in light of FWPs.

Since the COVID-19 pandemic, the need to adopt socially distanced work practices has become a reality for many organisations. We find that the adoption of FWPs, enabled by digital technologies, simultaneously signals hidden inequalities. We also develop a conceptual framework which depicts user responses in different technology environments that can either be limiting or enabling for individuals’ work productivity.

With regards to the digital divide, attention has often focused on access to digital technologies, as the term “digital divide” portrays. The implication is that the array of factors and resources that individuals are heterogeneously networked to, which also constitute the digital divide, is often taken for granted. We take a different ontological view that brings to the fore other factors at play within an individual’s network of relations.

本文擬探索彈性工作安排,並以批判性的觀點、去論證當我們探討2019冠狀病毒病封鎖解除後的數字鴻溝究竟是由什麼組成時,我們必須考慮數字技術資源的使用權限,以及關注各個有關的因素,因這些因素限制了我們從應用技術獲得預期效益的能力。

我們對現存文獻作批判性的評價,藉此參與一項概念性的工作,以便能建立可以成為將來實證性工作基礎的理論命題;為使提出的論點能得到理論上的依據,我們使用行動者網絡理論的本體論鏡頭,去闡明鑒於彈性工作安排的數字鴻溝的各個社會技術維度。

由於2019冠狀病毒病大爆發的關係,許多機構和組織都因實際情況而需採用保持社交距離的工作安排。我們發現、當我們採用有賴數字技術的發展而成行的彈性工作安排時,我們同時也會使不為人知的不平等狀況浮現出來;我們也注意到、不同的技術環境會限制個人的工作生產力,又或相反地助其建立工作生產力;就此,我們建立了一個可以描繪就這些不同的技術環境、用戶會如何回應的概念框架。

就數字鴻溝而言,人們的關注總放在數字技術使用權限的差異上,就如數字鴻溝這個術語所塑造的形象一樣。這種關注可能帶來的影響是即使有不同的因素和資源、即使個人會以各種形式與不同的因素和資源聯繫起來,而這些因素和資源構成了數字鴻溝,人們卻把這些因素和資源視為理所當然。我們採用不同的本體論觀點,希望藉此使個人關係網絡內起著作用的其它因素能突顯出來、免被忽視。

Brain-drain insurgency has become pervasive amongst professionals and the last option for everyone in the country to realise a sustainable quality of work-life (QWL). All youths now in the country have perceived migrating to the international workspace as a noble idea. This study investigates the incidence of brain-drain and QWL amongst academics in Nigerian universities.

To sparkle a clearer understanding concerning factors preventing the QWL amongst Nigeria's lecturers, this study utilised a cross-sectional research design to survey the participants across all departments in federal institutions through an explanatory research approach. This study applied an array of adapted scales to evaluate members of academic staff track of what provoked the incidence of brain-drain amongst Nigerian lecturers and possible influence on their QWL. The study surveyed 431 members of academic staff in Nigerian universities to collect useful data and employed a structural equation model (SEM) to analyse the obtained data.

The outcome of this study highlights that there is a horrible condition of service amongst Nigerian lecturers, a poor compensation system, poor academic research funding and lack of autonomy are bane to the QWL experienced in Nigerian tertiary institutions today. This study indicates that poor staff development and inadequate university funding are part of the justification that provoked brain-drain insurgence, and allowed the government to lose their skilled and competent egg-heads in the university to other foreign nations of the world.

This study demonstrated that brain-drain has become part of Nigeria's national life given that all professionals are seeking better life where their skills, competence and energy would be valued. Brain-drain was not common until these days amongst academics and fewer studies were noted but this study showed a novel paradigm regarding the QWL and brain-drain trajectory.

investigate and analyze the aspects of legitimation, theorization and trends for the evolution of research in information technology governance (ITG) in Brazil, according to researchers familiar with the matter.

By means of a qualitative and quantitative research of exploratory-descriptive approach, the Delphi method was applied using a questionnaire supported by content analysis.

ITG is an increasingly interdisciplinary research field, with significant help from other fields of knowledge, such as administration, computer science and engineering. The main means of ITG publication are periodicals (MISQ, JMIS, JISTEM RESI), scientific events (AMCIS, ECIS, HICSS, EnANPAD, CONTECSI) and researchers, such as Peter Weill and Edimara Mezzomo Luciano. Best practice models are the most significant theoretical frameworks, and the main trend of research are on emerging technologies such as cloud computing and Internet of things (IoT) in the context of ITG.

To the unavailability of some researchers to participate in the second phase of the Delphi research performed, as well as the non-completion of a third Delphi round. Likewise, the “Block B (open answer questions)” it was not contemplated in the second phase for a new collection of answers, which could partially change the results presented here.

The results show important insights for ITG researchers that can allow new researches about its applications, jointly reflecting on relevant aspects for the advancement of this research field.

There are several research contributions to broaden the discussion and the evolution of this new scientific field in Brazil and that can be grouped for each set of stakeholders: academia and related researchers; the practicing community of business managers and private and public organizations; the academic legitimizing bodies; the non-academic legitimating bodies and researchers from other areas of knowledge.

ITG is a concept that emerged as part of corporate governance (CG), which has evolved as an emerging theme and is expanding in the international academic arena. However, the current stage of legitimation, theorization and trends of ITG in the Brazilian researches are lacked greater understanding, in order to provide better targeting for new researches.