The business value of social media: A dynamic managerial capabilities perspective

In the last decade and a half, social media usage has become ubiquitous in the workplace. Prior research has noted both the benefits as well as the potential pitfalls of allowing employees to use social media during work hours. In this research-in-progress paper, we propose a conceptual model that shows how the use of social media may help in the enablement of dynamic managerial capabilities by enhancing the managerial social capital. Thus, this paper adds to the literature on the business value of social media. This paper also shows how two distinct types of social media (i.e., public social media and enterprise social media) play complementary roles in the enhancement of managerial social capital, and consequently, in the enablement of dynamic managerial capabilities. Managerial implications are also discussed

Exploring the Intersection of the Digital Divide and Artificial Intelligence: A Hermeneutic Literature Review

Given the rapid advancements in information communication technology (ICT), researchers and practitioners need to understand the impact that emerging phenomena, such as artificial intelligence (AI), have on existing social and economic challenges. We conducted a hermeneutic literature review to present the current state of the digital divide, developments in AI, and AI’s potential impact on the digital divide. We propose three theoretical framings: 1) conceptualizing the divide, 2) modeling the divide, and 3) analyzing the divide. These framings synthesize the digital divide’s essence in relation to AI and provide the foundation for a socio-technical research agenda for the digital divide in light of the evolving phenomena of AI

Exploring the consequence of social media usage on firm performance

This study aims to identify the consequence of social media usage on firm performance. To this end, it proposes a conceptual map that shows promising linkages between the maturity level realization of an organization in social media usage and its corresponding performance consequences. The conceptual map was developed by combining two theories: performance theory and theory of growth and maturity in social media, and then through systematic mapping. This map can predict what performance consequences will emerge in the organization for each stage of maturity in social media usage. According to this conceptual map, the organization is expected to benefit from accessing and sharing knowledge by realizing the first stage of maturity. The realization of the second stage is expected to establish more relationships with the customers, and the third stage will be followed by product and new processes development. By promoting the organization to the fourth stage, it is expected that communication with the organization\u27s stakeholders emerges via social media. In the fifth stage, social media will help with value creation. Thus, managers and professionals can predict what performance consequences they will benefit from if each stage of maturity is realized

What and how do companies benefit from social media?:a review of seven company case studies

Abstract. Social Media (SM) has turned into our daily life in the information society. People are showing an increasing tendency to build and nurture their online social relationship on SM platforms. Organizational SM has become an important research area for both scholars and practitioners who are interested in online technologies. It is worth of studying what the researches have been done related to the SM usage in organizations, and how the organizations have utilized the SMs for own specific purpose. SM used in organization has grown continuously. Business enterprises quickly recognize the value of shared contents. They have been increasingly adopted in the workplace for decision-making, supporting corporate communication, knowledge management, facilitating communication both inside organization and the stakeholders outside organization, increasing the social capital, enhancing the brand value and promoting the marketing practice in organization, both in business to business and business to customers. Many corporations are using blogs, wikis, and social networking sites (SNS) as routine parts of their business operations. The performances of the usage of the SM can be generally classified as internal usage and external usage. All of them have the different purposes and tactics basing on various targeted users. For the thesis work, a literature review was conducted by studying the existing empirical research on the usage of SM in organizations from selected existing scientific articles. The current status of the organizational SM usage has been investigated. Two theories have been chosen which are both the affordances of SM (Visibility, Persistence, Editability, and Association) and the honeycomb functional building blocks of SM (Identity, Conversations, Sharing, Presence, Relationships, Reputation and Groups). Based on them, the case studies in seven companies have been explored, aiming to search some of the four affordances and certain amount of the seven functional blocks in organizational SM activities, and explain how they influences the organizational behaviours. Applying such two theories shows that the organizations may participant the SM platforms efficiently and effectively in various ways. Some good practises of the SM usage have been portrayed. The risks related of using SM platforms have been mentioned as well. The future potential research works related the organizational SM usage has been discussed

Transparent Artificial Intelligence and Human Resource Management: A Systematic Literature Review

As the technological expansion of Artificial Intelligence (AI) penetrates various industries, Human Resource Management has attempted to keep pace with the new capabilities and challenges these technologies have brought. When adopting AI, transparency within HRM decisions is an increasing demand to establish ethical, unbiased, and fair practices within a firm. To this end, explainable AI (XAI) methods have become vital in achieving transparency within HRM decision-making. Thus, there has been a growing interest in exploring successful XAI techniques, as evidenced by the systematic literature review (SLR) performed in this paper. Our SLR starts by revealing where AI exists within HRM. Following this, we review the literature on XAI and accuracy, XAI design, accountability, and data processing initiatives within HRM. The integrated framework we propose provides an avenue to bridge the gap between transparent HRM practices and Artificial Intelligence, providing the industrial and academic community with better insight into where XAI could exist within HRM processes

Business Analytics in the Context of Big Data: A Roadmap for Research

This paper builds on academic and industry discussions from the 2012 and 2013 pre-ICIS events: BI Congress III and the Special Interest Group on Decision Support Systems (SIGDSS) workshop, respectively. Recognizing the potential of “big data” to offer new insights for decision making and innovation, panelists at the two events discussed how organizations can use and manage big data for competitive advantage. In addition, expert panelists helped to identify research gaps. While emerging research in the academic community identifies some of the issues in acquiring, analyzing, and using big data, many of the new developments are occurring in the practitioner community. We bridge the gap between academic and practitioner research by presenting a big data analytics framework that depicts a process view of the components needed for big data analytics in organizations. Using practitioner interviews and literature from both academia and practice, we identify the current state of big data research guided by the framework and propose potential areas for future research to increase the relevance of academic research to practice

Social Technologies and Informal Knowledge Sharing within and across Organizations

This doctoral dissertation is focused on both empirical and conceptual contributions relative to the roles social technologies play in informal knowledge sharing practices, both within and across organizations. Social technologies include (a) traditional social technologies (e.g., email, phone and instant messengers), (b) emerging social networking technologies commonly known as social media, such as blogs, wikis, major public social networking sites (e.g., Facebook, Twitter and LinkedIn), and (c) enterprise social networking technologies controlled by a host organization ( e.g., SocialText). The rapid uptake of social technologies, combined with growing interest in their broader social implications, raises pertinent questions about uses for knowledge sharing in organizations. The work reported in this thesis is motivated by two broad phenomena: (1) the importance of informal knowledge-sharing in organizations and (2) the rapid rise in the variety and prevalence of social technologies. The empirical basis of this research is a field study focused on the uses of social technologies by knowledge workers, specifically those in consulting firms. Building from the theoretical lenses of sociomateriality, structuration, and technological frames, the findings from this work advances our understanding of: (1) the ways social technologies are used in combination as a suite of tools, (2) the ways in which organizational norms, policies, and arrangements shape the uses of social technologies for knowledge practices, and (3) the variations in uses of social technologies by different groups of knowledge workers. The theoretical contribution of this work is to conceptualize the suite of social technologies used to support and enable knowledge workers is a more useful approach than the single-technological-tool-in-isolation approach, which is the norm in studies of computing. A second contribution of this work is to situate social technologies-in-use through incorporating complementary theoretical concepts: technology-mediated knowledge practices, social structures of organizations, and workers\u27 distinct interpretations of social technologies (technological frames). Practical implications arising from this study both inform the ways social technologies can be collectively integrated in work practices and inform the design and implementation of social technologies for accommodating different needs and preferences of knowledge workers. This research also generates insight into how organizations can craft policies that realistically regulate the use of social technologies, while empowering individual workers to optimize their knowledge sharing capacity by supporting informal engagement via social technologies

Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes

While qualitative research is experiencing broad acceptance in the information systems discipline, growing volumes of heterogeneous data pose challenges to manual qualitative analysis. We introduce an unsupervised machine learning approach based on graph partitioning to detect hidden information and structure in qualitative data samples. With the clustering technique, we map coded data to a graph and formulate a partitioning problem which is solved by integer linear programming. As a result, clusters of information sources are identified based on similarities given in the coded data. We demonstrate the approaches’ ability to detect hidden information in coded qualitative data by application on coded interview transcripts. With the approach, we draw on a technique from the operations research discipline and expand the repertoire of approaches being used to analyze qualitative data in the context of information systems

Business Analytics in the Context of Big Data: A Roadmap for Research

This paper builds on academic and industry discussions from the 2012 and 2013 pre-ICIS events: BI Congress III and the Special Interest Group on Decision Support Systems (SIGDSS) workshop, respectively. Recognizing the potential of “big data” to offer new insights for decision making and innovation, panelists at the two events discussed how organizations can use and manage big data for competitive advantage. In addition, expert panelists helped to identify research gaps. While emerging research in the academic community identifies some of the issues in acquiring, analyzing, and using big data, many of the new developments are occurring in the practitioner community. We bridge the gap between academic and practitioner research by presenting a big data analytics framework that depicts a process view of the components needed for big data analytics in organizations. Using practitioner interviews and literature from both academia and practice, we identify the current state of big data research guided by the framework and propose potential areas for future research to increase the relevance of academic research to practice

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse