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Articles 1 - 11 of 11
Full-Text Articles in Business
Navigating The Ethical And Legal Terrains Of Ai Tool Deployment: A Comparative Legal Analysis, Roland Akindele, Stella Jesuloluwa Adewuyi
Navigating The Ethical And Legal Terrains Of Ai Tool Deployment: A Comparative Legal Analysis, Roland Akindele, Stella Jesuloluwa Adewuyi
Communications of the IIMA
The pervasive influence of technology has revolutionised numerous sectors across the globe, underscoring the need for a comprehensive evaluation of the tools that technology has engendered. Artificial Intelligence (AI), as a prominent technological tool, has exceeded expectations and proven immensely beneficial to humanity. Consequently, it is imperative to scrutinise the ethical and regulatory frameworks governing its application. This paper employs a doctrinal methodology to analyse the regulatory landscape and ethical guidelines surrounding AI technology in Nigeria and some selected jurisdictions. The findings highlight the necessity of establishing a robust governance system to govern the utilisation of this transformative technology. In …
The Influence Of Hybrid Working In The Context Of Agile Software Development Within The Dutch Financial Sector, Joris Zomerdijk, Benny De Waal
The Influence Of Hybrid Working In The Context Of Agile Software Development Within The Dutch Financial Sector, Joris Zomerdijk, Benny De Waal
Communications of the IIMA
The COVID-19 pandemic has accelerated remote working and working at the office. This hybrid working is an indispensable part of today's life even within Agile Software Development (ASD) teams. Before COVID-19 ASD teams were working closely together in an Agile way at the office. The Agile Manifesto describes 12 principles to make agile working successful. These principles are about working closely together, face-to-face contact and continuously responding to changes. To what extent does hybrid working influence these agile principles that have been indispensable in today's software development since its creation in 2001? Based on a quantitative study within 22 Dutch …
A Framework For Building Cognitive Knowledge Management Systems, Samir Jarjoui, Renita Murimi
A Framework For Building Cognitive Knowledge Management Systems, Samir Jarjoui, Renita Murimi
Communications of the IIMA
Knowledge Management Systems (KMSs) are a critical component of economic development and growth. The accumulation and effective utilization of knowledge capabilities allow firms to create value and improve competitiveness. However, recent technological advances in KMSs have outpaced research in this area, which continues to be siloed and characterized by a lack of cohesive frameworks and a limited focus on cognitive learning. This paper provides a conceptual framework for the development of cognitive KMSs. The proposed framework comprises of strategy, people, processes, learning, and technology that are designed to improve knowledge management and organizational memory.
Enterprise Architecture In Healthcare Networks: A Systematic Literature Review, Arjen Maris, Stijn Hoppenbrouwers, Jos Van Hillegersberg
Enterprise Architecture In Healthcare Networks: A Systematic Literature Review, Arjen Maris, Stijn Hoppenbrouwers, Jos Van Hillegersberg
Communications of the IIMA
Healthcare organizations collaborate, share knowledge, and need to be accountable to each other. Therefore, healthcare organizations manage a dynamic information system landscape. Enterprise Architecture (EA) is a management tool for aligning these landscapes to the primary information needs that healthcare organizations have. EA is of value in some environments, but it seems to be not well suited to the dynamics of healthcare. Despite the publication of several systematic literature reviews on EA in healthcare, a systematic literature study comparing EA applicability at various levels of cooperation (intra, inter, and network collaboration) is lacking. Therefore, we posed the following research question: …
Electronic Clinical Quality Measures Of Health Information Technology And Hospital Performance: Evidence Of U.S. Hospitals, C. Christopher Lee, Hyoun Sook Lim, Decorti Rodgers-Tonge, Lisa Frank
Electronic Clinical Quality Measures Of Health Information Technology And Hospital Performance: Evidence Of U.S. Hospitals, C. Christopher Lee, Hyoun Sook Lim, Decorti Rodgers-Tonge, Lisa Frank
Communications of the IIMA
Electronic clinical quality measures (eCQMs) are an integral part of health information technology (HIT). This study explores the effect of eCQM implementation on hospital performance. The study proposes hospital profitability, efficiency, and quality to measure hospital performance. Based on the literature, this research hypothesizes that implementing eCQMs would positively impact hospital profitability, efficiency, and quality. The sample data are drawn from the 2017 American Hospital Association (AHA) U.S. Hospital Survey datasets (N = 6282), the 2017 AHA U.S. Hospital I.T. Survey dataset (N = 3451), and the 2017 Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) datasets (N = …
Towards A Domain – Specific Comparative Analysis Of Data Mining Tools, May Oo, Daniel Lozovikas, Ramesh Subramanian
Towards A Domain – Specific Comparative Analysis Of Data Mining Tools, May Oo, Daniel Lozovikas, Ramesh Subramanian
Communications of the IIMA
Advancement in technology has brought in widespread adoption and utilization of data mining tools. Successful implementation of data mining requires a careful assessment of the various data mining tools. Although several works have compared data mining tools based on usability, opensource, integrated data mining tools for statistical analysis, big/small scale, and data visualization, none of them has suggested the tools for various industry-sectors. This paper attempts to provide a comparative study of various data mining tools based on popularity and usage among various industry-sectors such as business, education, and healthcare. The factors used in the comparison are performance and scalability, …
Examining The Relevance Of Indian Logical Traditions And Present-Day Ai Developments, Ramesh Subramanian
Examining The Relevance Of Indian Logical Traditions And Present-Day Ai Developments, Ramesh Subramanian
Communications of the IIMA
This paper is an essay on the differences between “formal” Western logic and Indian logical traditions and how the latter impacts present-day AI developments. Upon the colonization of India, Western philosophers often dismissed Indian logical constructs as being underdeveloped or clumsy. Others, however, saw such denigration as emanating from Western racial prejudice rather than objectivity. This debate has persisted. I discuss the salient aspects of this debate, and then focus on the inductive aspects of Indian logic. This is especially relevant to the present, when there is an explosion of artificial intelligence based applications. I discuss the salient features of …
Forecasting Gasoline Price With Time Series Models, Xin James He
Forecasting Gasoline Price With Time Series Models, Xin James He
Communications of the IIMA
This research forecasts the gasoline price in U.S. and analyzes its managerial implications by means of both univariate and multivariate time series forecasting models. Gasoline price forecast is among the most difficulty time series variables during its importance to the economy and extremely volatile nature. The average regular gasoline price in U.S. reached $5.06 per gallon in the month of June 2022, as opposed to $3.41 at the beginning of 2022, a 48% increase. While gasoline prices had been rising over the first half of 2022 due to supply chain disruptions as a result of global Covid 19 lockdowns and …
Measuring Circularity: The Gordian Knot Of The 21st Century, Arjen Wierikx, Pascal Ravesteijn, Néomie Raassens, Alex Alblas
Measuring Circularity: The Gordian Knot Of The 21st Century, Arjen Wierikx, Pascal Ravesteijn, Néomie Raassens, Alex Alblas
Communications of the IIMA
Organizations are currently facing substantial challenges regarding becoming circular by 2050 – also referred to as Circular Economy (CE). Subsequently, increasing complexity on all organizational levels creates uncertainty about respective organizational and technological capabilities and adequate strategies to develop these capabilities. Organizations are struggling in picking up the CE ambitions and answering the what’s in it for me question. Scholars are developing models and frameworks to enable organizations to measure CE performance. Over 125 assessment methods are available for micro level assessment – measuring up to 365 different metrics. Moreover, extant literature is available presenting barriers and opportunities for CE …
How Does Bpm Maturity Affect Process Performance?
How Does Bpm Maturity Affect Process Performance?
Communications of the IIMA
Organizations are increasingly confronted with the consequences of globalization, digitalization and disruptive (technological) developments. The constantly changing and dynamic social, economic, and political environment as well as the public opinion require public organizations to deliver effective and efficient services. These trends also apply to Dutch housing associations who are working together with suppliers in the process of property maintenance to increase quality and to reduce costs. Business Process Management (BPM) has the prospect of enhancing the performance of maintenance processes. Previous studies have confirmed a positive relationship between BPM-maturity and Process performance. However, in different contexts this relation is sometimes …
Cyber Threat Intelligence Discovery Using Machine Learning From The Dark Web
Cyber Threat Intelligence Discovery Using Machine Learning From The Dark Web
Communications of the IIMA
Cyber threat intelligence (CTI) is an actionable information or insight an organization uses to understand potential vulnerabilities it does have and threats it is facing. One important CTI for proactive cyber defense is exploit type with possible values system, web, network, website or Mobile. This study compares the performance of machine learning algorithms in predicating exploit types using form posts in the dark web, which is a semi- structured dataset collected from dark web. The study uses the CRISP data science approach. The results of the study show that machine learning algorithms which are function-based including support vector machine and …