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Traditional embedded operation systems are resource consuming multitask, thus they are not adapted for smart wireless sensors. This paper presents a super‐small distributed real‐time microkernel (SDREAM) dedicated to wireless sensors. SDREAM is a tuple‐based message‐driven real‐time kernel. It adopts a meta language: Kernel Modeling Language to define and describe the system primitives in abstract manner. The IPC and processes synchronization are based on the LINDA concept: the tuple model implemented by two light primitives (SND: OUT & RCV: IN). In SDREAM, tasks are classified into two categories: periodic and priority. The periodic task has the highest priority level and is responsible for capturing sensor signals or actuating control signals; the priority task has various priority levels and is suitable for time‐constraints applications. A two‐level task scheduling policy scheme, named priority‐based pre‐emptive scheduling, is used for task scheduling. SDREAM is simple and efficient. It has a flexible hardware abstraction capability that enables it to be rapidly ported into different WSN platforms and other tiny embedded devices. Currently, it has been ported and evaluated in several hardware platforms. The performance results show SDREAM requires tiny resource and is suitable and efficient for hard real‐time multitask WSN applications.

The purpose of this essay is to explore the ramifications of Web 3.0 on sports media and the desire for the ultimate fan experience.

The essay explains how Web 3.0 will influence (1) the social TV experience, (2) the drive for zero latency in sports streaming, (3) the desire for exclusive sports memorabilia and experiences, (4) artificial intelligence-driven content and (5) the potential decentralization of certain elements within the sports media ecosphere.

The core fan experience will still be recognizable, but AI, VR, blockchain and other elements will be infused within it.

Ramifications on sports media scholarships are offered.

Rapid innovation and globalization have generated tremendous opportunities and choices in the marketplace for firms and customers. Competitive pressures have led to sourcing and manufacturing on a global scale resulting in a significant increase in products. The paper tries to identify the need for real time business intelligence (BI) in supply chain analytics.

The paper provides argument and analysis of the advantages and hurdles in BI.

The paper focuses on the necessity to revisit the traditional BI concept that integrates and consolidates information in an organization in order to support firms that are service oriented and seeking customer loyalty and retention. Enhancing effectiveness and efficiency of supply chain analytics using a BI approach is a critical component in a company's ability to achieve its competitive advantage.

This paper furthers understanding of the issues surrounding the use of BI systems in supply chains.

This paper reviews the real‐time enterprise from a technology point of view, with a strong focus on the challenges of building globally scalable technology. We analyze the different aspects of the real‐time enterprise and the link between the real‐time functionality and event driven systems. We then review the major bottlenecks in achieving scalability and robustness for event‐driven systems when they need to support global enterprise systems. At a conceptual level the real‐time enterprise is extremely promising but neither research nor product groups have the technologies to operate at a global scale in a manner that will allow the real‐time enterprise to become a reality, unless a number of significant hurdles are removed. This paper examines the impact of the concept of the real‐time enterprise on research agenda of academia as well as product groups, and lays out an agenda for achieving scalability and reliability goals.

Use of cloud-based enterprise resource planning (ERP) services equips an SME to forego the requirements of high financial budget, IT infrastructure, and trained IT personnel as it is required for on-premise ERP solution. The purpose of this paper is to analyze the organizational and technological factors as well as the factors that concern the performance of cloud service provider. These concerns are known as extrinsic factors and they are compliance, network, and information security. This study links the organizational and technological factors of SMEs and the extrinsic factors of cloud vendor for the successful implementation of cloud ERP.

Resource dependence theory (RDT) was used to understand the relationship of SMEs and cloud service provider. Structural equation modeling was employed in analyzing the data of 208 SMEs that were collected through a survey.

The empirical analysis supports the RDT as the critical success factors of the SMEs have a positive relationship with the extrinsic factors (compliance, network, and information security) during the cloud ERP implementation.

The data collected in this study is from India and this acts as a limitation as the result might not hold true for other countries and regions. Also, the data collected are cross-sectional and only represent the perspective of the respondents at the time of filling the questionnaire.

This paper attempts to bring out a relationship between SMEs and cloud service provider for the successful implementation of cloud ERP.

This paper aims to identify and articulate critical research issues in the emerging area of real‐time knowledge management (RT‐KM) in enterprises, in order to stimulate other researchers to further pursue them. The paper creates a framework around which it identifies and examines research issues and challenges that become salient and critical when knowledge sharing and creation need to happen in near real‐time. The framework is based on two drivers: increasing the requirements to plan for quickening the action‐learning loop in the enterprise, and increasing requirements in planning for emergence. The action‐learning loop is further articulated through the “observe, orient, decide, and act” (OODA) framework that is suited to sense‐and‐respond environments. Through the framework six sets of critical research challenges are identified around RT‐KM in enterprises: challenges around managing the quality of information in RT‐KM, challenges around improving the selective and intensive aspects of managerial attention in RT‐KM, challenges around making core business processes better suited to RT‐KM, challenges around integrating multiple distributed perspectives unpredictably in RT‐KM, challenges around developing heuristics in a way that allow real‐time emergence, and challenges around effectively capturing actions and learning for later reuse in RT‐KM. The issues and challenges identified are suggestive rather than exhaustive. Based on observations from real field case studies in industry, and driven by an industry need for better RT‐KM. This paper brings together the concepts of vigilant information systems, OODA loops, and emergence and applies them through a framework to identify research issues and challenges in this new emerging area of RT‐KM.

E‐business information systems are computer applications that leverage intra‐ and inter‐firm process and systems integration. Considering the growth and strategic importance of e‐business, while it is important for organizations to carefully plan for and architect e‐business systems, none of the existing information systems planning models is adequate for the task. An e‐business architecture planning model is developed by identifying 12 generic e‐business models and three axes on which drivers of the information architecture needs of e‐business firms fall. Sowa and Zachman’s information architecture is augmented to further facilitate e‐business information systems architecture planning.

Aims to demonstrate how information warfare (IW) is being progressively domesticated and how it democratizes warfare. Briefly outlines the so‐called Revolution in Military Affairs. Presents an overview of the various modalities of IW. Introduces the defining features of IW from both the attacker’s and the target’s perspective. Describes types of offence and defence. Assesses the extent to which IW and information terrorism are having or will have an impact on the daily lives of individual groups and considers the various social actors. Offers some observations on the negative externalities and possible longer term social costs associated with IW and information terrorism in the civil sphere.

The interview explores the Live Enterprise model at Infosys. The idea is to enable mature companies to transform into a business with digital native agility, with many small teams innovating while leveraging shared digital infrastructure, in an environment of continuous evolution and learning.

Jeff Kavanaugh, Vice President and Global Head of Infosys Knowledge Institute, the research and thought leadership arm of Infosys, explains how the model promotes rapid experimentation through the digital runway, innovation at the edges by distributed micro-teams and extreme automation at scale for repeatable processes and functions. He and co-author Rafee Tarafdar describe the inner workings of this model in their new book “The Live Enterprise: Create a Continuously Evolving and Learning Organization”.

Outcomes are made possible by four capabilities: hybrid talent, a design-to-evolve mindset, a digital runway and a ‘micro is the new mega’ approach to transformational change.

Micro is the new mega because the Live Enterprise model uses frequent micro-change releases at scale in short sprints. The cumulative effect of these many small changes compounds quickly to transformational change

Essential reading for executives at mature companies who need to compete in the new digital environment. Offers such revolutionary ideas as: Employee experience (EX) is as important as customer experience (CX) in the live enterprise

While several warehouses are now technologically equipped and smart, the implementation of real-time analytics in warehouse operations is scarcely reported in the literature. This study aims to develop a practical system for real-time analytics of process monitoring in an internet-of-things (IoT)-enabled smart warehouse environment.

A modified system development research process was used to carry out this research. A prototype system was developed that mimicked a case company’s actual warehouse operations in Indonesia’s manufacturing companies. The proposed system relied heavily on the utilization of IoT technologies, wireless internet connection and web services to keep track of the product movement to provide real-time access to critical warehousing activities, helping make better, faster and more informed decisions.

The proposed system in the presented case company increased real-time warehousing processes visibility for stakeholders at different management levels in their most convenient ways by developing visual representation to display crucial information. The numerical or textual data were converted into graphics for ease of understanding for stakeholders, including field operators. The key elements for the feasible implementation of the proposed model in an industrial area were discussed. They are strategic-level components, IoT-enabled warehouse environments, customized middleware settings, real-time processing software and visual dashboard configuration.

While this study shows a prototype-based implementation of actual warehouse operations in one of Indonesia’s manufacturing companies, the architectural requirements are applicable and extensible by other companies. In this sense, the research offers significant economic advantages by using customized middleware to avoid unnecessary waste brought by the off-the-shelves generic middleware, which is not entirely suitable for system development.

This research’s finding contributes to filling the gap in the limited body of knowledge of real-time analytics implementation in warehousing operations. This should encourage other researchers to enhance and develop the devised elements to enrich smart warehousing’s theoretical knowledge. Besides, the successful proof-of-concept implementation reported in this research would allow other companies to gain valuable insights and experiences.