Measuring Mobile Portal User Satisfaction

With the rapid advancement of mobile technology, smart devices have challenged the extant research concerned with time and space. Based on a user’s specific interests, mobile portals allow quick and easy access, anywhere, anytime to a world of data, applications and services. Whilst this provides an enhanced, dynamic and personalized user experience, knowing how satisfied users are with their mobile portal is crucial to understanding users’ needs, identifying important factors in the improvement of existing mobile portals and enhancing Information Technology (IT)-related business value. The study extends research knowledge about user satisfaction to the context of mobile portals. Secondly it contributes knowledge regarding mobile portals, particularly concerning post-adoption mobile portal user satisfaction. Thirdly, the research contributes a new reliable and valid instrument to measure user satisfaction with mobile portals – a contribution to the research stream within the IS literature concerned with measurement

The Role of Enterprise Social Media during the COVID-19 Pandemic: Insights from Leaders' Experience

The COVID-19 pandemic impacted workplaces, with public health orders requiring people to shift their workplaces into their homes. Consequently, many organisations pivoted to online operation and utilised technology such as Enterprise Social Media (ESM) to help manage this transition. In this study we explore leaders' diverse use of ESM during the pandemic, including whether it was used for performance management and how it shaped leaders’ social behaviour. We conducted fifteen semi-structured interviews with leaders in a large Australian University using the ESM technology. Our results explore the nuances of ESM use during this time including how it was used as a social tool, a communication tool, and as an informal means to collect performance data. Interviews also revealed concerns with ESM use such as privacy and information redundancy. Our work advances the Task-Technology Fit (TTF) literature by conceptualising cognitive and affective mechanisms to understand how utilisation moderates TTF outcomes. These mechanisms are contingent on how leaders use ESM and the level of their interactions and engagements. We identify practical implications of ESM use at a time of crisis including leader training, clear guidelines for internal communication, efficient information sharing practices, and informed consent for ESM-related data collection practices

CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extraction

In this paper, we present CrudeOilNews, a corpus of English Crude Oil news for event extraction. It is the first of its kind for Commodity News and serve to contribute towards resource building for economic and financial text mining. This paper describes the data collection process, the annotation methodology and the event typology used in producing the corpus. Firstly, a seed set of 175 news articles were manually annotated, of which a subset of 25 news were used as the adjudicated reference test set for inter-annotator and system evaluation. Agreement was generally substantial and annotator performance was adequate, indicating that the annotation scheme produces consistent event annotations of high quality. Subsequently the dataset is expanded through (1) data augmentation and (2) Human-in-the-loop active learning. The resulting corpus has 425 news articles with approximately 11k events annotated. As part of active learning process, the corpus was used to train basic event extraction models for machine labeling, the resulting models also serve as a validation or as a pilot study demonstrating the use of the corpus in machine learning purposes. The annotated corpus is made available for academic research purpose at https://github.com/meisin/CrudeOilNews-Corpus.Comment: Accepted at LREC 2022. arXiv admin note: text overlap with arXiv:2105.0821

Simulating a Competitive Electricity Market

The introduction of competition in the electricity sector around the globe is aimed at improving efficiency in production, transmission and distribution of electrical energy. Privatization and deregulation in this sector are also intended to attract players and investments in the markets as well as to ensure competitive electricity price. This paper presents the use of an agent-based simulation platform to study the effectiveness of introducing an electricity market in Indonesia. Power companies that offer supply to the market have been represented as intelligent agents. The bidding behavior of these agents have been developed using Q-learning algorithm. Thus, agents can put up strategic bids that maximize their profits. The simulation platform can be used to decide on feasible trading arrangement yielding low electricity price and high availability level. In this paper, the impact on different pricing rules on the spot price is explored

Context-based fuzzy system for optimization

Presents an approach to the development of an empirical fuzzy system for optimization, which is based on a contextual fuzzy filtering technique. The proposed system is based not on fuzzy rules, but rather on a set of empirical data to describe the functional dependence between the inputs and outputs. A detailed description of the fuzzy system including its structure and its main components (context variables, input and output membership functions) is provided and compared with conventional rule-based fuzzy systems. Additionally, a numerical example is also presented to illustrate the implementation of the proposed technique. The proposed approach is proven to be robust to uncertainties and has the ability to handle non-linearity

RFID in emergency management

This chapter introduces an activity-based framework for the adoption of radio frequency identification (RFID) in emergency management. The framework is based on a rather loose interpretation of the tasktechnology fit (TTF) theory. The chapter provides an overview of emergency management, a description of RFID characteristics and a scheme for classifying emergency management activities. It also reports literature survey on emergency management models, the use of RFID and RFID adoption models. Last but not least, it outlines the perceived benefits associated with the use of RFID in emergency management. It is hoped that the proposed framework can serve as a useful guidance for RFID adoption in emergency management