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    884 research outputs found

    Turnover in Japanese IT Professionals: Antecendants and Nuances

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    The Japanese information technology (IT) workplace is unique compared to that of other nations. IT represents a large sector of the country’s economy, and organizations need to develop proactive approaches to retain their IT workforce. In order to manage employee turnover, they need to understand the distinctive factors influencing employee turnover intention, as turnover intention is known to be a reliable predictor of actual turnover. In this study, a model was constructed and tested with data collected from 284 Japanese IT professionals. Our findings show that the effects of work exhaustion, personal accomplishment, and friendship networks on turnover intention are fully mediated through job satisfaction. Work-home conflict has no impact on job satisfaction. The strength of the relationships is stronger for younger than for older organizations. Furthermore, individualistic factors (i.e., work exhaustion and personal accomplishment) have a stronger impact on job satisfaction than collectivistic factors (i.e., work-home conflict and friendship networks). These results show the fragility of the notion of long-term employment, which is supposed to be embraced within the entire Japanese work culture

    Digital Kaizen: An Approach to Digital Transformation

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    While digital transformation creates opportunities across all industries, many organisations and practitioners struggle to grasp what conducting digital transformation entails and seek directions for how digital transformation programs, especially large and complex ones, can be executed. In response, recent studies have offered such directions and models for guiding digital transformation and put forward suggestions for steps and phases of digital transformation, as well as drivers, enablers, and inhibitors. Many of these proposals are based on the dynamic capabilities framework as a theoretical foundation and invite more research to develop further and/or to refine existing models for digital transformation, especially investigating how dynamic capabilities contribute to digital transformation. In this case study, we explore Digital Kaizen, a systematic approach to conduct large-scale digital transformation developed and applied at our case organisation FPT Software. This approach integrates the Kaizen philosophy into digital transformation practices that lead to digital improvements and transformation of some of the company’s human resource management processes and its business model. Our analysis and our reflections on our findings lead us to propose a novel Digital Kaizen process model for digital transformation informed by the dynamic capabilities framework

    Understanding the Processes of how Small and Medium Enterprises derive Value from Business Intelligence and Analytics

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    This paper provides an in-depth study of how small and medium enterprises (SMEs) use business intelligence and analytics (BI&A) to derive business value and why so many SMEs fail to do so. A qualitative research approach based on semi-structured interviews with five SMEs in Australia was applied with the goal is to understand the process in which SMEs adopt BI&A to derive business value. This involved exploring how owners and managers lead their employees in using data and analytical processes to derive insights to make business decisions. The findings suggest that SMEs which adopt BI&A use a short and simple six-step iterative BI&A process to derive insights for business process application. In addition to the short process, a longer three phase process has been identified which progresses SMEs from solving operational issues to strategic challenges. The resulting short and long BI&A implementation process framework provides a progressive pathway for SME owners and managers to initiate and lead BI&A transformation in their SMEs to derive greater business value. The process model considers dimensions of data, analysis, business process change, social influence, level of information use and financial returns

    Leapfrogging into knowledge economy: Information and communication technology for human development

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    Modern-day economic growth is focused on productivity and innovation, which puts information and technology integral to economic policy issues. In this context, ICT has a significant position as it increases efficiency, promotes information dissemination, and enhances innovation, resulting in a global shift in social and human development processes. The purpose of this research is to examine the significance of ICT diffusion in fostering human development in the South Asian Association for Regional Cooperation (SAARC) countries from 2005 to 2019. ICT diffusion is measured using a principal component analysis (PCA)- based composite index that combines telephone, mobile, broadband, and internet usage. The United Nations Development Programme (UNDP) created Human Development Index (HDI) serves as a proxy for human development. To adjust for any confounding bias, macroeconomic indicators, such as gross domestic product (GDP), inflation, and trade are also included. Utilizing econometric methods robust to cross-sectional dependence (CSD) such as the dynamic common correlated effect (DCCE) estimator, Driscoll-Kraay (DK) regression, and the Dumitrescu-Hurlin (DH) causality test, the study highlights the strong positive relationship between ICT and HDI. In addition, GDP boosts HDI owing to productivity gains. Similarly, trade expansion, in addition to its direct effects, also influences HDI by boosting economic growth. Inflation, on the other hand, has a negative impact on the HDI. Consequently, the study recommends a cohesive setting that unifies ICT with human development in this modern framework

    Antecedents of Effective Digital Leadership of Enterprises in Asia Pacific

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    Increasing awareness of digital transformation across Asia Pacific is putting a strong spotlight on how enterprises think of leadership and related key practices. The pace of transition to the new digital organisation creates even larger leadership gaps as most organisations have not moved rapidly enough to develop relevant leadership practices. With the support of literature, an analysis of related theories of transformational leadership, ambidexterity and dynamic capabilities are examined and the most suitable leadership attributes and practices for a digital enterprise is proposed. We test the proposed research model via a sample of leaders and senior managers from the Asia Pacific region. The results highlight the significant roles of leadership attributes, strategic priorities, organisational focus areas for exploration and digital governance practices for exploitation, in influencing effective digital leadership. The article reports valuable insights and relevant implications for leaders, enterprises, and researchers

    Opportunities, ethical challenges, and value implications of pervasive sensing technology for supporting older adults in the work environment

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    Responding to the challenges of demographic change, a growing number of eHealth solutions are appearing on the market, aiming to enable age-friendly living and working environments. Pervasive sensing and monitoring of workers' health-, behavioural-, emotional- and cognitive status to support their health and workability enable the creation of adaptive work environments and the provision of personalised interventions. However, this technology also introduces new challenges that go beyond user acceptance and privacy concerns. Based on a conceptual investigation and lessons learnt within the SmartWork project (H2020-826343), this paper outlines opportunities and ethical challenges of pervasive sensing technology in the work environment that aims to support active and healthy ageing for office workers in a holistic way, including their values and preferences. Only by identifying those challenges, implicated values and value tensions is it possible to convert them into design opportunities and find innovative ways to address identified tensions. The article outlines steps taken within the project and closes with a reflection on the limits of technological responses to societal problems and the need for regulations and changes on a societal level

    The Investigator’s Dilemma - A Review of Social Media Analytics Research Ethics in Information Systems

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    Social media have become not only integral parts of our private and professional lives, but also an indispensable source of data for empirical research across a variety of academic disciplines. Applying a Social Media Analytics (SMA) methodology, however, imposes heavy ethical challenges on researchers. Scholars in the Information Systems (IS) discipline must deal with a patchwork of ethical frameworks, regulations, and (missing) institutional support. To initiate a debate on how to develop a common understanding of SMA research ethics, this paper compiles a scoping review of extant literature and suggests a research agenda for IS scholarship on this matter. The review yields a total of eight fundamental principles of ethical SMA research, which provide a starting point to guiding individual researchers towards more ethical conduct. At the same time, this work unearths a multitude of intricate dilemmas that are currently unresolved. The findings of this review will encourage IS scholarship to find its own voice in the debate about social media research ethics

    When robots join our team: A configuration theory of employees’ perceptions of and reactions to Robotic Process Automation

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    Robotic process automation (RPA) as a lightweight automation technology has witnessed an increasing uptake in the industry in recent years. Despite considerable changes in employees’ tasks and processes brought about by the introduction of RPA, there is a lack of research that explores how employees react to an RPA implementation. Hence, the goal of this research is to understand employees’ perceptions of and reactions to RPA as these affect their interaction with the technology and, ultimately, their adoption and use. To address this research gap, we conducted a case study at a financial institution in New Zealand and interviewed 18 employees of the business units and members of the RPA team. Building on a configurational approach, we developed a mid-range theory and identified four distinct configurations that show how employees’ perceived consequences of software robots on their jobs influenced their collaboration with the automation team, their attitude towards the change in work tasks and processes and ultimately their interactions with software robots and attribution of software robots’ roles and performance. Our findings may inform implementation and change management strategies and accommodation initiatives to support employees’ needs to facilitate adoption, which is crucial for organisations to realise the benefits of RPA

    Factor structures associated with online student engagement in campus-based blended and online distance education settings

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    This research is strictly grounded in the work undertaken by Coates regarding traditional campus-based settings of student engagement and was applied to the online settings positioned within the domain settings of blended online learning design and practice in an Australian higher education business context. Utilising an online student survey instrument, across two consecutive academic years, undergraduate commerce students were invited to reflect upon their learning engagement experience through the lens of a common learning management system (LMS) a resource accessible to both campus-based and off-campus student cohorts. Subsequent analysis of the research reconfirms the existence of student engagement constructs of Coates in the blended online setting, but also unexpectedly revealed a previously unknown construct relating to Assessment. This new student engagement construct, Assessment, is identified as being a significant motivational factor relevant to student engagement in the context of the blended online learning environment of this higher education business undergraduate commerce course and is the focus of this exposition

    Web scraping Instagram Pre and During Covid-19: Examining customer engagement on Australian SMEs accounts

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    Instagram has gained the attention of hundreds of millions of users and evolved quickly into a critical customer engagement tool for businesses worldwide, more so during Covid-19. Impacts of Covid-19 have fundamentally changed the market, and therefore, this paper explores the relationship between Instagram practices and the engagement of 20 Australian SMEs (Small medium enterprises) pre and during Covid-19. This study aims to answer the following questions: (1) How should user-generated content (UGC) and call to act content (CTA) be included as Instagram posts? (2) How to use #Hashtags and @Tagging in Instagram posts to keep a campaign going? (3) How Instagram can be utilised to mitigate the effect of Covid-19? Findings revealed a statistically significant relationship between the number of UGCs to Instagram engagement, while CTA   content performance recorded a mixed result. However, both UGCs and CTA positively affect the engagement when used to build a virtual community and engage with followers rather than redirecting customers to online selling locations. Also, diversity in @Tagging and #Hashtag uses are found to be effective drivers of engagement. The results imply that addressing the Covid-19 related concerns of followers while showing genuine brand social responsibility can be rewarded by extra engagement

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