Survival in the Digital Era

Although the literature emphasizes the link between digital competence (DC) and IT adoption, there is a lack of understanding of how DC can be conceptualized in an SME context. Drawing on the literatures on SMEs and DC and on the change agentry perspective, this multi-case study proposes a multi-dimensional conceptualization of DC and empirically tests a typology of three DC archetypes of SME employees: Technical Expert, Organizer, and Campaigner. The results from a multi-case study of three Canadian SMEs suggest that the development of DC should focus on the complementarity nature of the technological, social and cognitive dimensions of the DC.

Metrics of Evolving Ego-Networks with Forgetting Factor

Nowadays, treating the data as a continuous real-time flux is an exigence explained by the need for immediate response to events in daily life. We study the data like an ongoing data stream and represent it by streaming egocentric networks (Ego-Networks) of the particular nodes under study. We use a non-standard node forgetting factor in the representation of the network data stream, as previously introduced in the related literature. This way the representation is sensible to recent events in users' networks and less sensible for the past node events. We study this method with large scale Ego-Networks taken from telecommunications social networks with power law distribution. We aim to compare and analysis some reference Ego-Networks metrics, and their variation with or without forgetting factor.

Heterogeneity in Digital Innovation: A Study of the e-Newspaper Case

This paper focuses on challenges that arise because of the heterogeneous nature of digital innovation. These challenges are studied through a case study involving a two year long research and development project concerning the development of the e-newspaper concept and a demonstrator based on e-paper technology. To enable the exploration of these challenges, a multi-method approach was chosen. The paper is built using a two-step process; first, presenting a framework based on a review of related literature identifying characteristics and aspects of heterogeneity in digital innovation, and secondly, applying this framework into the analysis of the e-newspaper case. Based on the empirical findings, the paper presents a discussion which elaborates on how digital innovation can be organized in order to address the identified challenges with heterogeneity in digital innovation. Furthermore, it is suggested that digital technology targeted towards everyday use is inherently leading to innovation networks of heterogeneous actors as well as heterogeneous users of digital innovation.

The Politics of Establishing ICT Governance for Large-Scale Healthcare Information Infrastructures

In Norway, the focus on interoperability and communication across healthcare practices has increased the need to connect ICT portfolios at different levels of healthcare, into large-scale information infrastructures (II). Governing healthcare practices is exceptionally complex, due to the diverging goals and policies of the heterogeneous actors involved. Establish well-functioning ICT governance organizations to handle these large infrastructures is therefore important. Using information infrastructure theory, and governance literature from the IS field, this paper contributes with empirical insight to the longitudinal and political process of establishing ICT governance in a healthcare context, reporting from one of Norway's largest health ICT projects, situated in the North Norway Regional Health Authority in 2012–2016. Our focus was on the following research questions: How does organizational politics shape the process of establishing an ICT governance organization in a heterogeneous healthcare environment, and what does it take to establish such ICT governance organization?

BSC-SI

Integration of Strategic Intelligence with corporate strategic management is becoming of vital importance for modern and flexible organizations in the last few years. The main achievement of this integration is to help decision makers to implement systemically their corporate strategies, adapt easily to changes in the environment, and gain competitive advantages. In this article, the authors will extend the studies in this domain, and clarify the relationships between Business Intelligence, Competitive Intelligence with Strategic Intelligence. They will also explain the impact of Business Intelligence on Corporate Performance Management, Operational Business Process, Competitive Intelligence, and Strategic Intelligence. Finally, the authors will explain the new proposed framework BSC-SI that can facilitate the integration of Strategic Intelligence with Balanced Scorecard methodology.

Social Media

Internet usage has shown drastic growth in the initial half of the year 2015 in India. The user base has increased over 354 million and with this India has become the top second country after China in terms of internet usage. Facebook is the prime social networking site which is used by 96% of urban users, followed by Google Plus (61%), Twitter (43%) and LinkedIn (24%). This extensive use of social media by the public had attracted the attention of the politicians to use it for election campaigns and has given researchers a reason to find out how politicians are engaging the public through this platform. Influence of Social media on the electorate has been proved from its successful use in the US presidential election in 2008 and by political parties in the 2014 Lok Sabha elections in India. This paper intends to explore the use of social media and its effectiveness in political elections through an extensive literature review. Social media has become an effective tool for political engagement and political participation as it is a low cost media as compared to traditional media. The low cost of this media has made it one of the main source to get information for advanced analysis and in-depth understanding of the electoral process. This paper will provide an insight to politicians, political analysts, journalists and electoral candidates regarding social media usage. The paper will also present a future research agenda to study how political parties can benefit from use of social media and change their strategies to engage workers and the voters.

Analyzing the Factors Driving the Usage of Enterprise Social Network

Connectivity and networking benefits of social media platforms have motivated organizations to deploy similar model in an organizational setting in the form of Enterprise Social Network (ESN) with an objective to increase collaboration among employees. Further, ESN is considered more relevant in today's digital business environment where organizations have to deal with collaboration and communication challenges faced by teams that have members operating from different locations and time zones. Once the ESN is implemented the next challenge for the organization is to ensure the participation of employees and keeping them motivated to use ESN for interacting with their peers. This paper aims to elucidate the factors that influence employees' decision to use ESN in the context of Indian organizations. In this study, a conceptual model is developed on the theoretical grounding of the Unified Theory of Acceptance and Use of Technology theory, Technology-Organization-Environment framework, Social Capital theory and Critical Mass theory. This study proposes that employees' ESN usage behavior is driven by individual factors (i.e. perceived usefulness and perceived enjoyment), organizational factors (i.e. top management support, facilitating conditions, and collaborative norms), as well as social factors (i.e. perception of the critical mass). Data was collected using questionnaire survey method. According to the data analysis of this study, all the six factors were found statistically significant. While, support from top management was identified as the most significant factor that encourages the use of ESN, followed by the perception of critical mass regarding the usage of ESN in an organization.

Retail Marketing Strategies and Brand Management

This article aims to provide a critical review of the published literature related to retail marketing strategies and brand management in the global retail industry. The literature review covers the overview of marketing strategies; retail marketing strategies and technological utilization; international retail marketing strategies in the global retail industry; retail marketing strategies and internationalization; the challenges of retail marketing strategies in the fashion retail industry; the overview of brand management; and the significance of brand management in the global retail industry. Effective marketing is necessary to compete in the ever-growing worldwide retail industry sector. The improved retail profits are within reach with the purposeful retail marketing strategies. Brand management means defining the brand, positioning the brand, and delivering the brand. The literature review analysis provides both practitioners and researchers an important understanding about retail marketing strategies and brand management in the global retail industry.

Evaluating the Relevance of Contextual Hyper-Advertising on Social Media

The ever-rising middle class coupled with high disposable incomes and burgeoning internet culture in the country has driven the e- commerce industry like never before. The resultant cluttered scenario has put pressures on the competing players & a rapid desperation to rise across social media and create relevance for their brand. Contextual hyper advertising by leveraging technology to own up key words is one such strategic formula applied by major players to make their brands more meaningful for optimally reaching out to consumers in the fastest and most economical way possible. The paper aims at evaluating the overall appeal of Contextual hyper-advertising as a strategy in creating Brand Relevance by adapting to certain models in integrating communication.

Predicting Business Bankruptcy

Managers, investors, financial institutions and government agencies have a major concern on forecasting enterprise bankruptcy. It enables the sustainability assessment of critical suppliers and clients, as well as competitors and the business environment. Throughout the 20th and the 21st century, advances in statistics and computer science fields enabled the development of different trends in financial distress assessment that co-exist today. However, recent Data Mining (DM) techniques are regarded as being the most precise. IT expertise requirements in the constantly evolving DM field may have been a major obstacle to the adoption of these techniques by decision makers. Furthermore, DM software tools that are now widespread offer a broad spectrum of Artificial Intelligence algorithms and the most difficult task may be the decision of selecting the appropriate algorithm. Hence, the adoption of a good workflow method for data processing and analysis is critical for having fast and reliable results. This work presents an overview of the available bankruptcy techniques and provides a comprehensive case study exploring the latest Data Mining techniques.