36 research outputs found

    Social Media Engagement: Content Strategy and Metrics Research Opportunities

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    Social media platforms allow for the integration of online and offline experiences for customers and brand relationships. Firms must understand which moves are the best to engage customers on social platforms. Smartphone’s adoption has contributed to the expansion of social media uses and seems to facilitate engagement in online brands’ experience. However, previous research reveals no consensus about what customer brand engagement in social media is and how to measure it. The objective here is to identify factors of social media engagement and metrics adopted to define social media brands’ content strategy performance. A systematic literature review shows social media engagement as a misunderstood concept related to different levels of customer relationships. Also, findings reveal that the literature has failed to address social media content strategy performance and the metrics adopted. This paper examines and categorizes metrics and opportunities for future research, as well as managerial involvement in social media engagement issues

    Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption

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    The shift towards human-robot collaboration (HRC) has the potential to increase productivity and sustainability, while reducing costs for the manufacturing industries. Indeed, it holds great potential for workplaces, allowing individuals to forsake repetitive or physically demanding jobs to focus on safer and more fulfilling ones. Still, integration of humans and machines in organizations presents great challenges to IS scholars due to the complexity of aligning digitalization and human resources. A knowledge gap does persist about organizational implications when it comes to implement collaborative robotics in the workplace and to support proper HRC. Thus, this paper aims to identify recommended human resources management (HRM) practices from previous research about human-robot interaction (HRI). As our results highlight that few studies attempted to fill the gap, a conceptual framework is proposed. It integrates HRM practices, technology adoption dimensions and main determinants of HRC, in the objective to support collaborative robotics implementation in organizations

    ICT, Permeability Between the Spheres of Life and Psychological Distress Among Lawyers

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    The pervasiveness of information and communications technologies (ICT) has changed the nature of work in recent decades. Positive and negative impacts of ICT have been identified in every profession, including among lawyers. This paper examines the impact of ICT on the working conditions, stress and psychological distress experienced by lawyers, based on a qualitative study. Twenty-two (22) interviews were conducted with the aim of gaining a deep understanding of this issue. A thematic content analysis of the interviews revealed that factors related to ICT appear to contribute to the overall stress (technostress and other stress) experienced by lawyers, in turn leading to psychological distress. Moreover, the growing permeability between the different spheres of life caused by ICT and their particular characteristics has increased the workload of lawyers and accelerated their pace of work. Participants also identified frequent technological problems, as well as clients’ misinformation on the Internet, as risk factors

    Digital Literacy for Business Leaders and Managers

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    The digital business environment offers opportunities to develop new business models and support organizational growth. It also brings fast-paced changes, global competition, and turbulence. To benefit from these opportunities, business leaders and managers must adapt and develop the relevant capabilities in this context. However, the literature falls short in describing the competencies required by professionals that lead the digital transformation journey. To address this gap, we conducted a panel with digital transformation experts. We also performed a systematic literature review to identify the competencies needed to lead optimally in the digital business environment. Our results present four categories of competencies based on experts and literature: Technical, Managerial, Social, and Motivational. Our findings bring insights for future research on long-life learning for business leaders and managers. They also inform practice about the relevance of digital literacy in leading an organization’s digital transformation successfully and sustainably

    Techno(Stress) and Techno(Distress): Validation of a Specific TechnoStressors Index (TSI) Among Quebec Lawyers

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    The pervasive and ubiquitous characteristics of information technology has been associated to technostress. Current measures oftechnostress do not consider some recent issues of the stress generated by technology in the day-to-day work of lawyers. This paper presents the validation of a 25-item self-report scale (TechnoStressors-Index-TSI) for the study of technostress in lawyers’ professional context. Items were constructed through qualitative exploratory interviews (N=22) and adaptation of existing scales. The scale was tested (N=40) and retested (N=2027) among Quebec lawyers using EFA and CFA. This scale proposes a second order reflexive model of five dimensions to understand technostress. The scale validation among a large sample of professionals helped to fulfill the gap regarding specific techno-stressors to which lawyers are exposed and leading to technostress at work or other health outcomes, such as psychological distress. For further research, it needs to be validated with other professionals to confirm its relevance in different contexts

    Business Intelligence in Industry 4.0: State of the art and research opportunities

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    Data collection and analysis have been at the core of business intelligence (BI) for many years, but traditional BI must be adapted for the large volume of data coming from Industry 4.0 (I4.0) technologies. They generate large amounts of data that need to be processed and used in decision-making to generate value for the companies. Value generation of I4.0 through data analysis and integration into strategic and operational activities is still a new research topic. This study uses a systematic literature review with two objectives in mind: understanding value creation through BI in the context of I4.0 and identifying the main research contributions and gaps. Results show most studies focus on real-time applications and integration of voluminous and unstructured data. For business research, more is needed on business model transformation, methodologies to manage the technological implementation, and frameworks to guide human resources training

    Going Beyond Blockchain Adoption's Hype to Improve Supply Chain Sustainability: Evidence From Empirical and Modelling Studies

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    Potential solutions emerge with the fourth Industrial Revolution technologies, including the Internet of Things, Artificial Intelligence and Blockchain. The global supply chain requires greater traceability and transparency to ensure product security, efficient management and sustainable performance. However, traditional supply chains face several challenges related to traceability systems. This paper aims to analyse academic literature regarding Blockchain adoption in supply chains to improve traceability and transparency from a sustainable perspective. A systematic literature review was performed in order to provide verifiable evidence; we focused our investigation on empirical and modelling articles. Results suggest that Blockchain benefits occur through three levels: macro-level (overall supply chain network), meso-level (such as dyadic relationships) and micro-level (end consumers). However, we note that the contribution’s results have not yet reached a consensus. We have therefore proposed three research insights towards addressing the identified gaps

    Lean tools in the context of industry 4.0: literature review, implementation and trends

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    With the evolution of Industry 4.0, some problems related to inefficient digitalization become clearer in organizations. To minimize these problems, implementation of the lean philosophy is needed in the digital environment. However, before Lean can start to solve the digitalization problems, there is a need to digitalize its tools so that they can comprehend the Industry 4.0 dynamics and become more effective. The aim of this study is to contribute to the theoretical development of Lean tools in the context of Industry 4.0, promoting directions for the industrial sector from the evolution, difficulties, benefits, implementation and trends of Lean 4.0 tools. To achieve this objective, this study performs a systematic literature review and content analysis of 53 papers from 35 journals. The main results of the research show: (i) the characterization of the Lean 4.0 tools; (ii) the evolution of the Lean tools after the integration with digital technologies; (iii) the main trends of Lean 4.0; (iv) the proposal of a Lean 4.0 theoretical framework. From these results, this paper seeks to promote insights for studies in the area of Lean 4.0, as well as for companies to implement and use the Lean 4.0 tools for better improvement in their digital processes and avoid the digital waste.info:eu-repo/semantics/publishedVersio

    Fake news, big data e o risco à democracia: novos desafios à competência em informação e midiática

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    Social media contributed to the dissemination of information in a more agile way. Society produces and consumes information concomitantly. Individuals need to know how to interpret information critically. In politics, the situation is even more complex because misinformation or disinformation is used to favor a particular candidate or party in elections. In some countries, candidates for political office have allegedly used fake news to solicit votes from people who do not distinguish true information from false information. That is, they do not perceive the truthfulness of the facts and the quality of the information sources. Therefore, society requires individuals to be information and media literate. This study aims to connect Big Data analysis and media literacy, in order to identify fake news in the electoral context. The research problem is summarized in the following question: How can studies focused on information and media literacy combat fake news in the context of Big Data? The objective is to demonstrate the studies and the academic actions which solve the problem of fake news. The methodology is based on the Systematic Literature Review on the topics of information and media literacy and fake news, in order to demonstrate what methodology has been used to research this. A review protocol was developed, and then scientific articles were searched in two databases: Web of Science and Scientific Electronic Library Online. The articles retrieved were published in several scientific areas, which shows the multidisciplinary character of this theme. There was also an increase in the number of publications in the year 2018, indicating that this subject is topical in the academic area. Most of the studies that were analyzed suggest to include information and media literacy in school and university curricula. However, little has been said about possible solutions to avoid political fake news. In this sense, there is a lack of knowledge regarding information and media literacy in the political sphere and thus, it is an opportunity for future research
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