Requirements elicitation is the process through which analysts determine the software requirements of stakeholders. Requirements elicitation is seldom well done, and an inaccurate or incomplete understanding of user requirements has led to the downfall of many software projects. This paper proposes a classification of problem types that occur in requirements elicitation. The classification has been derived from a literature analysis. Papers reporting on techniques for improving requirements elicitation practice were examined for the problem the technique was designed to address. In each classification the most recent or prominent techniques for ameliorating the problems are presented. The classification allows the requirements engineer to be sensitive to problems as they arise and the educator to structure delivery of requirements elicitation training.

This paper compares the effect of social isolation on students enrolled in online courses versus students enrolled in on campus courses (called in this paper Face-to-Face or F2F). Grade data was collected from one online section and two F2F sections of a computer literacy course that was recently taught by one of the authors of this study. The same instructor taught all sections thereby providing a controlled comparison between the two forms of teaching (F2F and online). This paper first introduces the plan and the limitation of this study. It provides a literature review and notes the trend of social isolation found in online courses. This paper then presents a summary of the collected data; and offers a conclusion based on the collected data.

Internship courses, unlike others, are multi-pronged because they require coordination at different levels. Typically, a faculty member coordinates the communication and implementation at each level to achieve the desired outcomes. We call the position that this faculty holds the “internship coordinator”. For the work of the internship coordinator to be successful, he/she may need to synchronize the work of the internship with all parties involved. Failure to coordinate at one level or another may affect the work of other parties involved in completing the internship for the students. This paper explains the experience of an internship program at the computer science department (COSC) at Indiana University Indiana University of Pennsylvania (IUP). We focus on the work of the internship coordinator for this program and his work to communicate and coordinate to successfully implement the internship experience for the students. We first discuss the theoretical foundation that led to the development of internship programs in academia and then elaborate on the multiple levels of the role of the internship coordinator in completing the internship experience for the students.

The number of online resources available for teaching and learning in higher education has been growing enormously during the last decade. A recent development is the emergence of Massive Open Online Courses (MOOCs) and of Open Educational Resources (OER). The result is a huge number of videos that are available on line. Can these videos enrich learning? As a pilot study we added sixteen videos to an existing introductory course in Human-Computer Interaction. This course is mandatory in the Bachelor programs Computer Science and Information Science (second year). Watching the videos was optional for the students. The videos originated for the most part from the MOOC Human-Computer Interaction, produced by Stanford University. We offered this course to a pilot group of eight students. The educational context was problem-based learning in distance education. The videos were welcomed by all of the students and were found to be useful in their learning process. The students watched the videos intensively and appreciated them very well. A main reason for the students to be positive about the videos was that they liked to alternate reading texts and watching videos.

This paper presents a validation research of seven Digital Learning Domains (DLDs) and sixty-five performance statements (PSs) as perceived by students with experience in learning via ICT. The preliminary findings suggest a statistical firmness of the inventory. The seven DLDs identified are Social Responsibility, Team-based Learning, Information Research and Retrieval, Information Management, Information Validation, Processing and Presentation of Information, and Digital Integrity. The 65 PSs will enable a teacher to identify the level of competency the learner has in each DLD, thus identifying students’ strengths and weaknesses that must be addressed in order to facilitate learning in the current era. As can be concluded from the findings, most of the participants evaluate themselves as digitally literate with regard to the basic information research and retrieval skills, validation and information management. But when it comes to PSs that require complex decision making or higher order thinking strategies, it seems that a large number of participants lack these skills. Also, social responsibility and digital integrity domains are perceived as known by the participants but not very well taken in terms of pro-active action to enforce appropriate digital behavior, or avoiding illegally obtained music or movies.

The most common course delivery model is based on teacher (knowledge provider) - student (knowledge receiver) relationship. The most visible symptom of this situation is over-reliance on textbook’s tutorials. This traditional model of delivery reduces teacher flexibility, causes lack of interest among students, and often makes classes boring. Especially this is visible when teaching Computer Literacy courses. Instead, authors of this paper suggest a new active model which is based on MS Office simulation. The proposed model was discussed within the framework of three activities: guided software simulation, instructor-led activities, and self-directed learning activities. The model proposed in the paper of active teaching based on software simulation was proven as more effective than traditional.

Aim/Purpose: The aim of this project was to explore student perceptions of the value of both the creation of video content and exposure to other students’ work though peer assessment and inclusion of exemplars as unit material. Background: The research was in a first year information technology flipped-learning unit, where the assessment involved students developing video presentations that were peer assessed and exemplars incorporated into the unit as teaching material. Methodology: Data was gathered using a mixed methods approach using an online questionnaire followed by semi-structured interviews with a selection of questionnaire respondents. The interviews were designed to further explore issues identified from the analysis of the questionnaire data. Contribution: Informs on student perceptions of peer review and the integration of student generated content into University teaching. Findings: Most students enjoyed the video assessment (58%) with many preferring it to a written or programming task (55-58%). In the subsequent peer assessment, many liked seeing the work of others (67%) and found the approach engaging (63%) yet some other perceptions were mixed or neutral. Recommendations for Practitioners: University IT students generally enjoyed and perceived peer assessment and found student generated content to be valuable. Recommendation for Researchers: Further investigation of peer review and student generated content in contexts where the student cohort represents a variety of cultures and age categories Impact on Society: Contributes to a body of knowledge regarding peer assessment and student generated educational materials. Future Research: Future work is needed to better understand this domain, in particular the role of learners’ individual differences in order to successfully integrate these approaches into modern learning environments.

Aim/Purpose: Authentic assessments offer students the opportunity to develop skills that implement the formal learning they receive in the classroom. Although there is a need for accounting graduates to possess a plethora of skills to equip them for success, there is a shortage of literature that focuses on authentic assessment design for accounting courses. This paper aims to address this gap by compiling a toolkit for accounting educators aspiring to design and implement authentic assessments. Background: This paper reviews examples of authentic assessments that are available and have been used by accounting educators and educators in general. It highlights the skills that might be developed with each assessment Methodology: A review of 182 articles on authentic assessment design and examples of authentic assessments like portfolios, reflective journals, presentations, reports, peer and self-assessment was conducted. Contribution: A toolkit with examples of authentic assessment to ease the task of authentic assessment design for those new to authentic assessment and seasoned authentic assessment practitioners alike. Findings: Authentic assessments are a form of learning. They help graduates develop skills and attributes that will make them work-ready and capable of handling a lot of real life practical work situations. Rubrics are an important part of authentic assessment implementation and their use is mandated by business school accrediting bodies like AACSB. Recommendations for Practitioners: Accounting educators may find guidelines in this paper which will help them understand authentic assessments and enlighten them on the challenges they may encounter when implementing the assessments. Recommendation for Researchers: There is a need for future researchers to contribute more to this topic so as to increase the variety and amount of literature available for those wishing to engage with authentic curriculum design in accounting. Future researchers could also focus on the perceptions of authentic assessments of accounting educators, students and employers. Impact on Society: This paper may also be of use to prospective employers wishing to gain a clear understanding of the skills inherent in prospective graduates who may have been exposed to authentic assessments. Accounting students and graduates may find this paper useful as it will help them comprehend the importance of some the assessments with the backing and assurance from the literature. Future Research: Future research may focus on the challenges in implementing authentic assessments. It would also be great to see more research addressing the perceptions of educators towards authentic assessments.

Aim/Purpose: The purpose of this study is to identify how Advanced level Mathematics and Mathematics course units offered at university level do impact on the academic performance of theoretical Computer Science course units. Background: In Sri Lankan state universities, students have been enrolled only from the Physical Science stream to do a degree program in Computer Science. In addition to that, universities have been offering some course units in Mathematics to provide the required mathematical maturity to Computer Science undergraduates. Despite of this it is observed that the failure rates in fundamental theoretical Computer Science course units are much higher than other course units offered in the general degree program every year. Methodology : Academic records comprised of all 459 undergraduates from three consecutive batches admitted to the degree program in Computer Science from a university were considered for this study. Contribution: This study helps academics in identifying suitable curricula for Mathematics course units to improve students’ performance in theoretical Computer Science courses. Findings: Advanced level Mathematics does not have any significant effect on the academic performance of theoretical Computer Science course units. Even though all Mathematics course units offered were significantly correlated with academic performance of every theoretical Computer Science course unit, only the Discrete Mathematics course unit highly impacted on the academic performance of all three theoretical Computer Science course units. Further this study indicates that the academic performance of female undergraduates is better than males in all theoretical Computer Science and Mathematics course units. Future Research: Identifying other critical success factors contributing to the students’ academic performance of the theoretical Computer Science through empirical studies

Aim/Purpose: To capture digital training experiences, the paper introduces a novel data collection method – a graphic questionnaire. It aims to demonstrate the opportunities and limitations of this tool for collecting feedback from socially disadvantaged participants of digital literacy training about their progress. Background: In training of digital skills for disadvantaged audiences through informal educational interventions, it is important to get sufficient knowledge on factors that lead to their progress in the course of training. There are many tools to measure the achievements of formal education participants, but assessing the effectiveness of informal digital skills training is researched less. The paper introduces a small-scale case study of the training programme aimed at the developing of reading and digital skills among the participants from three socially disadvantaged groups – people with hearing impairments, children from low income families, and elderly persons. The impact of the training on participants was evaluated using different tools, including a short graphic questionnaire to capture the perceptions of the participants after each training. Methodology: We performed a thematic analysis of graphic questionnaires collected after each training session to determine how the students perceived their progress in developing literacy and digital skills. Contribution The findings of the paper can assist in designing assessment of digital literacy programmes that focus not only on final results, but also on the process of gaining digital skills and important factors that facilitate progress. Findings: The graphic questionnaire allowed the researchers to get insights into the perception of acquired skills and progressive achievements of the participants through rich self-reports of attitudes, knowledge gained, and activities during training sessions. However, the graphic questionnaire format did not allow the collection of data about social interaction and cooperation that could be important in learning. Recommendations for Practitioners: Graphic questionnaires are useful and easy-to-use tools for getting rich contextual information about the attitudes, behaviour, and acquisition of knowledge in digital literacy training. They can be used in applied assessments of digital literacy training in various settings. Their simplicity can appeal to respondents; however, in the long-run interest of respondents in continuing self-reports should be sustained by additional measures. Recommendations for Researchers: Researcher may explore the variety of simple and attractive research instruments, such as “honeycomb” questionnaires and similar, to facilitate data collection and saturate feedback with significant perception of personal experiences in gaining digital literacy skills. Impact on Society: Designing effective digital literacy programmes, including engaging self-assessment methods and tools, aimed at socially disadvantaged people will contribute to their digital inclusion and to solving the issues of digital divide. Future Research: Exploration of diverse research methods and expanding the research toolset in assessing digital literacy training could advance our understanding of important processes and factors in gaining digital skills.

Aim/Purpose: The aim of this project was to explore a method to enable an updated under-standing of digital literacy to be implemented in curricula in an environment of an existing, but outdated, understanding of digital literacy. . Background: The changing healthcare environment increasingly emphasizes the importance of digital literacy skills; therefore academics in the optometry discipline at Deakin University sought to better understand where digital literacy skills were taught in their program, and whether delivery was implicit or explicit. Methodology: This case study describes a systematic review of the optometric curriculum to first identify where and what digital literacy skills are currently being addressed in the curriculum, identify the gaps, and develop a strategy to address the gaps. Contribution: The main outcome of this work is the development of a spiraling curriculum to support the development of digital literacy skills required in later units of the program and for clinical practice post-graduation. Findings: Although the definition of digital literacy may be outdated, the digital literacy capabilities being addressed in the curriculum had grown as digital technology use by staff and students had expanded. This, together with the realization that students were not as digitally capable as expected, indicated that teaching digital literacy skills needed to be made overt throughout the curriculum. Recommendations for Practitioners: The process developed through this case study provides a strong foundation for course teams, curriculum developers and educational designers to efficiently analyze digital literacy expectations in existing, accredited health-related curricula and improve the curricula by more overtly embedding digital literacy teaching into it. Impact on Society: Graduates of the amended program of study are expected to be better prepared to undertake their future careers in a digitally enhanced and disrupted environment. Future Research: The framework will be used to explore digital literacy teaching practices in other disciplines. A systematic evaluation will be undertaken to identify the benefits and short comings of using the framework. The elements that make up the new definition of digital literacy need to be better articulated to allow curriculum developers to be better informed as to how to interpret the framework in their context.

Aim/Purpose: Digital literacy is critical to participation in a contemporary knowledge-based society and is requisite to both academic success and career development. Institutions of higher education have been slow to define, assess, and amplify digital literacy in parallel with advances in the enhancement of reading, writing, and arithmetic literacy. Perhaps as a consequence of the pandemic, awareness appears to be growing of the need to infuse digital literacy at both institutional and individual levels. The purpose of this paper is to investigate the promotion and amplification of digital literacy within top universities around the globe. Background: For years, the role of higher education in the amplification of digital literacy among college students has been debated, but efforts have been limited primarily to ad hoc, unsystematic attempts to rectify disparities between students’ exposure and understanding. The impacts of COVID-19 exposed the reality that many institutions, professors, and college students were under-prepared for the surge in reliance on digital technologies. Methodology: This paper explores the prevalence of digital literacy in the top public and private universities around the globe by conducting a qualitative examination on compulsory requirements, digital literacy offerings, university identified digital literacy initiatives, and university strategic plans. Contribution: This paper contributes to the body of knowledge by providing evidence for the need to expand the constructs of what it means to be digitally literate to address the ever-expanding range of emerging technologies and the impact of those technologies on society. Findings: The review of digital literacy amplification at top universities showed that none of the universities' admissions requirements required students to demonstrate digital competence and compulsory digital literacy was uncommon. However, a majority of universities undertook some form of initiative to promote digital literacy. These initiates included a focus on developing digitally literate society and workforce or developing innovative approaches to digital literacy education. Recommendations for Practitioners: The pandemic has generated a greater sense of urgency for institutions of higher education to ensure access to and understanding of digital technologies by students, faculty, and staff. Educational institutions will have to adapt their methodologies to promote explicit and intentionally reasoned digital literacy strategies that combine the competencies possessed by users of technology with the generation of new competencies required to successfully participate in the digital transformation of education, business, and society. Recommendations for Researchers: This paper examined the top 50 universities around the globe. Additional re-search is needed to examine national, regional and local efforts in the quest to address the need for a digitally literate citizenry. Impact on Society: COVID-19 has thrust us into a new normal wherein digital competence is foundational to success in an ever digitally reliant world. Institutions of higher education are best positioned to carry out the initiatives, programs and re-search needed to enhance the digital literacy of all citizens, not just students and employees. Future Research: Societal impacts of the COVID-19 pandemic continue to emerge and will resonate for decades to come. Continued investigation, exploration and dis-semination of information related to effort to enhance and amplify digital literacy is necessary to ensure momentum to reimagine digital literacy education is maintained.

Aim/Purpose. The goal of this publication is to explore methods for advancing student success in technology related disciplines via improved program classification and selection within higher education. Background. Increased demand for information technology (IT) professionals has been cited as a challenge in many fields including cybersecurity and software development. Many highlight the challenge as not just a numbers gap but a skills gap when comparing industry needs to the curricula in traditional disciplines within higher education. Closing the gap by increasing the number of skilled graduates remains a critical challenge we must address. Methodology. This publication leverages a systematic literature review to identify factors that classify existing higher education programs within the discipline of information technology. Contribution. Research in this area can act as a catalyst to increase relevance of IT related programs as well as graduation rates in technology and engineering. Findings. Authors analyzed forty-four primary studies and found that 56.8% of the publications referenced programs that meet the IT framework definition although they were not classified as IT programs. The findings and further analysis highlight direct challenges between program classification and the potential impact on student success. Recommendations for Practitioners. Research in this area is relevant for academic administrators, private sector executives and others working to increase the technology pipeline. Recommendations for Researchers. Researchers may benefit by exploring thematic analysis as a means of generating relevant classifications and taxonomies that highlight opportunities for improvement in a broad set of subject areas. Impact on Society. Research in this area can serve as a catalyst to increase graduation rates in programs related to technology and engineering. Future Research. This area would benefit from further research by comparing program success rates within varied disciplines. Future research may also produce a classification process.

Aim/Purpose. This paper aims to answer the research question, “What are the development phases of the academic discipline of information technology in the United States?” This is important to understand the reason for the growing talent gap in the information technology (IT) industry by reviewing the evolution of information technology across time, how the discipline was formed, evolved, and gained independence from other information and computing disciplines. Background. The COVID-19 pandemic has increased the shortage of IT professionals in the workplace. The root reason for this talent shortage requires understanding from both industry and academic perspectives in order to implement effective initiatives to prepare, recruit, and retain diverse IT professionals at an early stage. Methodology. This paper used a systematic literature review methodology and retrieved 143 primary studies from the ACM and IEEE Xplore digital libraries to review the development phases of the IT discipline as a contributing factor in understanding why, when, and how the population of professionals in IT and other relevant computing disciplines has changed and continues to fluctuate. Thematic analysis was applied to the abstracts of the primary studies, which spanned the period of 1982 to 2021. Contribution. This paper contributes to the understanding of the discipline of IT in the US and contributes foundations to researchers and educators who are working on strategies to fill the talent gap. Findings. Based on the thematic analysis in this paper, the academic discipline of IT has evolved over four phases across a timeline from 1982 to 2021. These phases were: Phase 1 (1982-1991) – Advent of Information Technology; Phase 2 (1992-2001) – Industry IT & DevOps; Phase 3 (2002-2011) – Information Technology and Management in Evolving Industry, Academia, and Research Areas; and Phase 4 (2011-2021) – Information Technology Research & Education. Recommendations for Practitioners. IT occupies an independent disciplinary space from computer science, computer engineering, and information systems. The paper suggests that practitioners seeking to fill the talent gap in IT invest in enabling its academic programs. Recommendations for Researchers. The depth of the IT disciplinary space and its continued evolution over time is ready for exploration. Continued research in this area may yield a better understanding of its role in society, the skills needed to succeed, and how to build programs to empower students with these skills. Impact on Society. Examining the discipline of IT and understanding its independence and interrelated connection with other computing disciplines will help address the shortfalls in academia across the nation by identifying the distinction between each discipline and creating comprehensive programs, degrees, and curricula suitable for various students and professionals across all educational levels. Future Research. Future research will integrate papers’ introductions and conclusions in addition to abstracts, increase the number of databases and reviewers, as well as incorporate papers that focus on other information and computing disciplines such as computer science and information systems to explore the possibility that IT as a discipline was initially practiced in an existing information or computing discipline before it gained independence.

Aim/Purpose. In this study, we examined, from the perspective of the participants, aspects of information and communications technology (ICT) and resilience, comparing first-generation students in higher education with students whose parents had higher education. Methodology. We examined self-image, motivation, happiness, and the use of ICT. This was a quantitative study. Respondents answered a questionnaire that contained open and closed questions. The sample included 307 students from academic institutions in Israel between the ages of 18 and 64. Findings. The findings were grouped into four clusters: (a) second-generation students under the age of 25 years, members of Generation Z; (b) second-generation students over the age of 25; (c) first-generation students over the age of 25 years (the largest group in the sample), mostly members of the Generation Y; and (d) first-generation students under the age of 25. We found consistent differences on all scales between the group of first-generation students over the age of 25 years and those in the other groups. The research findings indicate that the group with the highest resilience was students who were the first generation acquiring higher education and were over 25, mostly members of the Y generation. Impact on Society. This research allows an instructive look at Generation Y and Generation Z and the academic abilities of this generation. Future Research. Future studies should examine the correlation between a sense of resilience (which was examined in this study) and academic achievement (which was not).

Aim/Purpose. This study addresses the research question: “What are the developmental phases of Information Technology in the industry?” Existing research has explored the impact of Information Technology (IT) on specific industries. However, it is essential to understand the evolution of IT within industries, its influence on the workforce, and technological advancements. Addressing this knowledge gap will enhance future workforce development and IT integration across diverse sectors. Background. IT can significantly transform industries and drive innovation to meet client demands. Understanding IT phases in industry through literature helps governments and businesses worldwide recognize its importance. This knowledge can guide strategies to address the shortage of highly skilled workers by prioritizing education and training programs to meet future demands. Methodology The methodology involved a systematic literature review of 110 IEEE Xplore, ACM Digital Library, and Google Scholar articles. Thematic analysis was used to understand the development of IT in distinct phases since the 1990s. This development has resulted in a continuous demand for new workforce skills and evolving customer expectations. Contribution. This study aims to fill the knowledge gap by enhancing our understanding of how evolving IT influences the industry and shapes IT jobs and skills. It provides a historical perspective, illustrating how IT advancements have led to new applications to meet changing needs. Additionally, the study identifies patterns in the evolving IT skill requirements due to technological advancements and discusses implications for curriculum development and higher education. Findings. The study identified three significant phases through a systematic literature review and thematic analysis. The first phase, “Advent of Industry IT” (1990-2000), established the digital framework and built essential systems and infrastructure. The second phase, “Connectivity & Information Revolution” (2000-2010), saw exponential internet growth, transforming information access and communication. The third phase, “Emerging Industry IT” (2010-present), focuses on artificial intelligence, automation, and data-driven insights, continuing to disrupt and transform industries. Recommendations for Practitioners. The changing phases of IT within the industry should inform the development of innovative programs. These programs should address diverse skill sets across eras, preparing the workforce for evolving job roles in various sectors, such as healthcare in North America, automotive manufacturing in Japan, telecommunications in Africa, and innovations in other parts of the world. Recommendations for Researchers. Researchers can conduct longitudinal studies to explore the ongoing evolution of IT, tracking its trajectory beyond current delineated phases to understand future trends. Comparative studies across various industries can assess how IT evolution varies among sectors and delve deeper into its practical implications. Researchers can also conduct impact assessment studies to determine how various IT phases directly affect organizational strategy, worker dynamics, and organizational structures across industries. Examples include logistics in the Netherlands, retail in the United Kingdom, and agriculture in Brazil. Impact on Society. Policymakers and planners can use knowledge of these phases to predict technological shifts and industry trends. This knowledge helps develop strategies and policies supporting entrepreneurship, education and training alignment, technical innovation, economic growth, and job creation in line with the changing IT landscape. Examples of policies include Singapore’s Smart Nation initiative, Germany’s Industry 4.0 strategy, Ghana’s digitization efforts, and India’s Digital India campaign. Future Research. Future research can provide a thorough understanding of the evolutionary patterns of IT within sectors by validating the study through various datasets and conducting in-depth examinations of individual industries. This will contribute to a deeper understanding of sector-specific IT evolution and their varying impact on societal interactions and industry dynamics. Comparative studies across various sectors, such as logistics in the Netherlands, retail in the United Kingdom, and agriculture in Brazil, can assess how IT evolution varies.

Aim/Purpose . The quantitative comparative ex post facto research study covered in this paper aims to fill gaps in the literature by focusing on whether gender influences perceptions of leadership; diversity, equity, inclusion, and accessibility (DEIA); and job satisfaction among federal employees within the Department of Justice using empirical data. The study also explores whether there are relationships between the perception of leadership and job satisfaction and the perception of DEIA and job satisfaction. Background. Since 2002, the United States Office of Personnel Management (OPM) has administered the Federal Employee Viewpoint Survey (FEVS), which measures employee perceptions of whether and to what extent successful organizational conditions exist in their agencies. Areas currently assessed within the FEVS include training, job satisfaction, leadership effectiveness, management effectiveness, work-life balance, and diversity, equity, inclusion, and accessibility. The exploration of variations in perceptions of leadership, DEIA efforts, and job satisfaction among U.S. federal employees by gender and other criteria are crucial areas for research that are underrepresented in the literature. This is not only important for the United States federal government, which is grappling with high attrition rates, but also for public administrations around the world. Methodology. A quantitative ex post facto research design was used to analyze data from responses of U.S. federal employees working for the Department of Justice. Leadership, job satisfaction, and DEIA were all measured using aggregate scores from pre-determined question sets. Differences based on gender were analyzed using t-tests. Additionally, chi-squares and Spearman’s rank correlations were employed in order to explore whether there is a relationship between the perception of leadership and job satisfaction and the perception of DEIA efforts and job satisfaction among U.S. federal government workers. Contribution. The findings of this study aid in providing empirical data to support the need for federal government leadership to understand the impact of employees’ perceptions on their willingness to continue working in the federal government. The research study was grounded in Public Service Motivation Theory, which centers around factors that motivate individuals to pursue and maintain careers in the public service sector. More specifically, this study supported the public service motivation theory in that it looked at gender as a mitigating factor in public service motivation as well as explored the role of leadership and DEIA as a correlating factor to job satisfaction. The results of this research have practical implications for federal government leaders interested in increasing employee motivation and retention and who should be considering the range of sociocultural and demographic characteristics that have been found in the research to impact employee perceptions and experiences. Findings. The analyses found differences in perceptions of leadership, DEIA, and job satisfaction among United States Federal Government employees based on gender. Additionally, perceptions of leadership and DEIA were both found to influence job satisfaction. The first research question explored in this study used a t-test to consider whether the perception of leadership among U.S. federal employees differed based on participant gender with significance found. The second research question examined whether the perceived job satisfaction of U.S. federal employees differed based on gender, with statistical significance detected. The third research question focused on whether perception of DEIA differed when gender was explored and the results of the t-test indicated a significant difference in perceptions of DEIA when gender was considered. The fourth research question considered the relationship between the perception of leadership and job satisfaction. A Chi-square and a Spearman Rank Correlation were performed, and a relationship was found to exist. Research question five explored whether a relationship exists between the perception of diversity, equity, inclusion, and accessibility initiatives and job satisfaction, with significance found following a chi-square and a Spearman rank correlation. Recommendations for Practitioners. Leadership behaviors of managers and the existence of DEIA policies play a critical role in employees’ job satisfaction and commitment. The recommendations for organizational leadership in the public service sector include addressing gender inequality in work practices and environments and cultivating more inclusive organizational cultures. Recommendations for Researchers. The lack of inclusion of socio-cultural norms in the research on public service motivation is a gap that has yet to be sufficiently addressed and is an area of research that should be explored. Impact on Society. Research on public service motivation in local, state, national, and international government employment can aid organizations in developing strategies for improving recruitment, selection, and retention in public service organizations. This information can advance scientific knowledge on transforming management and leadership practices across sectors. Future Research. Future research can expound on what has been done here by examining in more detail how various identities, and more specifically intersecting identities, within the LGBTQIA+ community as well as other historically marginalized groups, impact such factors as perceptions of leadership, job satisfaction, employee motivation and retention, and work-life balance. Perceptions of specific DEIA initiatives should also be further explored.

Aim/Purpose: To investigate the impact of the evolution of Information Technology on global workforce skills and explore emerging approaches that address the IT talent shortage faced by diverse companies in finding skilled IT workers. Background: This paper explores diverse approaches to bridge the skilled IT workers shortage gap, especially in the context of the widening gap following the impact of the COVID-19 pandemic. The study emphasizes the need to consistently leverage business and information technology strategies for competitive advantage. Methodology: This study followed the systematic literature review methodology on 809 articles from ACM, IEEE Xplore, and Scopus digital libraries by utilizing an integrative mixed methods approach with topic modeling and manual content analysis. Contribution: This paper aims to understand and describe the impact of the evolution of the IT industry on its workforce. It contributes additional evidence to our understanding of IT workforce development to support researchers and educators working towards developing effective strategies to bridge the IT talent gap. Findings: On the one hand, the study finds that the evolution of the IT industry produces a shift in required skills and knowledge, resulting in workers needing to adapt and embrace lifelong learning. On the other hand, the evolution of IT creates new opportunities for workers and results in a more globalized and interconnected workforce. Recommendations for Practitioners: Practitioners are recommended to adapt to the shifting skills landscape, encourage lifelong learning, explore new opportunities for workers, and embrace a more globalized workforce. Recommendations for Researchers: Researchers are encouraged to further explore the identified themes and delve into the nuances of the evolving impact of information technology on workforce skills. Impact on Society: The findings have implications for industry growth, emphasizing the importance of aligning business and IT strategies to address the shortage of skilled IT workers on a global scale. Future Research: Future research should focus on the continuous evolution of information technology and its impact on workforce skills, considering the identified themes as a foundation for further exploration.

Aim/Purpose. The aim of this study is to recognize the factors that contributed to the development of IT in the healthcare industry. Background. The healthcare Information Technology (IT) solutions market has experienced remarkable growth, with the healthcare sector emerging as a $303 billion industry. However, despite its substantial size, the healthcare industry has faced criticism for its slow adoption of innovative technologies. This study aims to explore factors driving the evolution of IT in the healthcare sector. Methodology. The researchers conducted a systematic literature review, searching the PubMed and Emerald databases for relevant peer-reviewed articles. After filtering based on defined criteria, 433 articles were included for analysis. Thematic analysis was applied to the abstract of articles which spanned the period of 1997 to 2023. Contribution. This study provides a conceptual framework elucidating the key factors driving the evolution of IT in the healthcare industry. By systematically analyzing the existing literature, the research identifies four overarching themes – government policies, technological potentials, healthcare delivery needs, and organizational motivations – that have propelled the development and adoption of healthcare IT solutions. Provide a conceptual model for understanding, and design of the healthcare it solutions. Findings. Based on the analysis in this paper, four themes emerged: government policies promoting IT adoption through initiatives like incentives for electronic health records; technological breakthroughs enabling new healthcare IT capabilities; healthcare delivery needs to drive IT integration for improved quality and safety; and patient experience and organizational motivations to leverage IT for streamlining processes and knowledge management. Recommendations for Practitioners. The conceptual model can guide practitioners in developing IT solutions aligned with policy drivers, technological capabilities, care delivery needs, and organizational imperatives. Recommendations for Researchers. The conceptual framework developed in this study offers a lens for researchers across disciplines to continue investigating the role of information technology in the healthcare industry. Impact on Society. Examining the evolution of IT in the healthcare industry revealed the importance of information technology in enhancing the delivery and affordability of healthcare services and addressing issues of accessibility and inequality. Future Research. Future research will explore global perspectives showcasing the successful impact of IT on healthcare, as emerging technologies impact healthcare delivery and patient outcomes.

Analogical thinking is one of the most effective tools to generate innovative ideas. It enables us to develop new ideas by transferring information from well-known domains and utilizing them in a novel domain. However, using analogical thinking does not always yield appropriate ideas, and there is a lack of consensus among researchers regarding the evaluation methods for assessing new ideas. Here, we define the appropriateness of generated ideas as having high structural and low superficial similarities with their source ideas. This study investigates the relationship between thinking process and the appropriateness of ideas generated through analogical thinking. We conducted four workshops with 22 students in order to collect the data. All generated ideas were assessed based on the definition of appropriateness in this study. The results show that participants who deliberate more before reaching the creative leap stage and those who are engaged in more trial and error for deciding the final domain of a new idea have a greater possibility of generating appropriate ideas. The findings suggest new strategies of designing workshops to enhance the appropriateness of new ideas.

Background/Aim/Purpose: A commonly implemented software process improvement framework is the capability maturity model integrated (CMMI). Existing literature indicates higher levels of CMMI maturity could result in a loss of agility due to its organizational focus. To maintain agility, research has focussed attention on agile maturity models. The objective of this paper is to find the common research themes and conclusions in agile maturity model research. Methodology: This research adopts a systematic approach to agile maturity model research, using Google Scholar, Science Direct, and IEEE Xplore as sources. In total 531 articles were initially found matching the search criteria, which was filtered to 39 articles by applying specific exclusion criteria. Contribution:: The article highlights the trends in agile maturity model research, specifically bringing to light the lack of research providing validation of such models. Findings: Two major themes emerge, being the coexistence of agile and CMMI and the development of agile principle based maturity models. The research trend indicates an increase in agile maturity model articles, particularly in the latter half of the last decade, with concentrations of research coinciding with version updates of CMMI. While there is general consensus around higher CMMI maturity levels being incompatible with true agility, there is evidence of the two coexisting when agile is introduced into already highly matured environments. Future Research: Future research direction for this topic should include how to attain higher levels of CMMI maturity using only agile methods, how governance is addressed in agile environments, and whether existing agile maturity models relate to improved project success.

Aim/Purpose: A vital business activity within organizations is tacit knowledge (TK) transfer. This work aims to propose a novel framework for TK transferability in multinational corporations (MNCs) from the information and communication technology (ICT) perspective. Background: In the past two decades, researchers have developed several frameworks for TK transfer based on humanistic, business, and educational perspectives. However, a review of the existing work revealed that TK transfer has seldom been examined from an ICT perspective. Methodology: A qualitative method was adopted because it was considered the most appropriate for the research requirements. A grounded theory approach was employed to generate the items that potentially affect the transferability of TK. Face-to-face semi-structured interviews were conducted to collect data, along with observations when possible. The study sample consisted of 20 expert interviewees in Malaysia. An inductive ongoing data analysis process based on grounded theory via open, axial, and selective coding was used as the primary analysis method. In addition, comparative and frequency count analyses were used to examine the collected data. Contribution: The main contribution of this study is its use of the grounded theory approach, which resulted in the generation of items that affect the transferability of TK, not all of which had been identified by previous researchers. This paper reports one of the few inductive studies conducted on TK transferability among MNCs and, therefore, makes distinct contributions to the literature on TK management, specifically bringing to the fore the intricacies involved in TK transferability. Findings: Information and communication technology plays a crucial role in and has a positive impact on TK transfer in MNCs. This study evaluated the potential of various ICT channels to facilitate TK transfer. The findings show that ICT tools cannot completely substitute for face-to-face contact. Tacit knowledge that has a high degree of complexity requires sophisticated channel features for its transfer. From this standpoint, virtual face-to-face communication is the richest communication medium in the ICT hierarchy. On the other hand, email and voicemail are less effective channels for TK transfer, while synchronous groupware is an intermediate communication medium. The findings highlight the importance of utilizing an appropriate mix of channels to improve TK transferability. Recommendations for Practitioners: It is recommended that practitioners consider the diverse aspects of TK and the potential of a range of ICT channels for the TK transfer process in order to increase the efficiency of TK transfer. The analytic categories developed in this study may give managers new insights into and a better understanding of how TK can be supported in a modern organization and how to overcome the barriers to TK transfer.

Aim/Purpose: The aim of this paper is to analyze various text classification techniques employed in practice, their strengths and weaknesses, to provide an improved awareness regarding various knowledge extraction possibilities in the field of data mining. Background: Artificial Intelligence is reshaping text classification techniques to better acquire knowledge. However, in spite of the growth and spread of AI in all fields of research, its role with respect to text mining is not well understood yet. Methodology: For this study, various articles written between 2010 and 2017 on “text classification techniques in AI”, selected from leading journals of computer science, were analyzed. Each article was completely read. The research problems related to text classification techniques in the field of AI were identified and techniques were grouped according to the algorithms involved. These algorithms were divided based on the learning procedure used. Finally, the findings were plotted as a tree structure for visualizing the relationship between learning procedures and algorithms. Contribution: This paper identifies the strengths, limitations, and current research trends in text classification in an advanced field like AI. This knowledge is crucial for data scientists. They could utilize the findings of this study to devise customized data models. It also helps the industry to understand the operational efficiency of text mining techniques. It further contributes to reducing the cost of the projects and supports effective decision making. Findings: It has been found more important to study and understand the nature of data before proceeding into mining. The automation of text classification process is required, with the increasing amount of data and need for accuracy. Another interesting research opportunity lies in building intricate text data models with deep learning systems. It has the ability to execute complex Natural Language Processing (NLP) tasks with semantic requirements. Recommendations for Practitioners: Frame analysis, deception detection, narrative science where data expresses a story, healthcare applications to diagnose illnesses and conversation analysis are some of the recommendations suggested for practitioners. Recommendation for Researchers: Developing simpler algorithms in terms of coding and implementation, better approaches for knowledge distillation, multilingual text refining, domain knowledge integration, subjectivity detection, and contrastive viewpoint summarization are some of the areas that could be explored by researchers. Impact on Society: Text classification forms the base of data analytics and acts as the engine behind knowledge discovery. It supports state-of-the-art decision making, for example, predicting an event before it actually occurs, classifying a transaction as ‘Fraudulent’ etc. The results of this study could be used for developing applications dedicated to assisting decision making processes. These informed decisions will help to optimize resources and maximize benefits to the mankind. Future Research: In the future, better methods for parameter optimization will be identified by selecting better parameters that reflects effective knowledge discovery. The role of streaming data processing is still rarely explored when it comes to text classification.

Aim/Purpose: In this article, we provide a better solution to Webpage access prediction. In particularly, our core proposed approach is to increase accuracy and efficiency by reducing the sequence space with integration of PageRank into CPT+. Background: The problem of predicting the next page on a web site has become significant because of the non-stop growth of Internet in terms of the volume of contents and the mass of users. The webpage prediction is complex because we should consider multiple kinds of information such as the webpage name, the contents of the webpage, the user profile, the time between webpage visits, differences among users, and the time spent on a page or on each part of the page. Therefore, webpage access prediction draws substantial effort of the web mining research community in order to obtain valuable information and improve user experience as well. Methodology: CPT+ is a complex prediction algorithm that dramatically offers more accurate predictions than other state-of-the-art models. The integration of the importance of every particular page on a website (i.e., the PageRank) regarding to its associations with other pages into CPT+ model can improve the performance of the existing model. Contribution: In this paper, we propose an approach to reduce prediction space while improving accuracy through combining CPT+ and PageRank algorithms. Experimental results on several real datasets indicate the space reduced by up to between 15% and 30%. As a result, the run-time is quicker. Furthermore, the prediction accuracy is improved. It is convenient that researchers go on using CPT+ to predict Webpage access. Findings: Our experimental results indicate that PageRank algorithm is a good solution to improve CPT+ prediction. An amount of though approximately 15 % to 30% of redundant data is removed from datasets while improving the accuracy. Recommendations for Practitioners: The result of the article could be used in developing relevant applications such as Webpage and product recommendation systems. Recommendation for Researchers: The paper provides a prediction model that integrates CPT+ and PageRank algorithms to tackle the problem of complexity and accuracy. The model has been experimented against several real datasets in order to show its performance. Impact on Society: Given an improving model to predict Webpage access using in several fields such as e-learning, product recommendation, link prediction, and user behavior prediction, the society can enjoy a better experience and more efficient environment while surfing the Web. Future Research: We intend to further improve the accuracy of webpage access prediction by using the combination of CPT+ and other algorithms.