TL;DR: A theoretical framework for evaluating instructors' acceptance of LMS based on the Technology Acceptance Model is developed, which provides a comprehensive look of the critical factors that influence the instructors' perceived ease of use and perceived usefulness of L MS and consequently the actual use.
Abstract: In the knowledge age, the use of the information technology (IT) tools including learning management systems (LMS) has became an imperative. The adoption rate of LMS in academic and training institutions is very promising worldwide. Learning Management system includes several tools that provide academic and training institutions efficient and effective means to support distance education and supplement their traditional way of teaching. LMS also provide academic insinuations mechanisms and tools to store, manage, and share its academic resources and knowledge. Instructors' acceptance is essential for the deployment of LMS. The success of LMS in any institution starts by instructors' acceptance, which in turns initiates and promotes learners' utilization of LMS. Consequently, the objective of this paper is to develop a theoretical framework for evaluating instructors' acceptance of LMS based on the Technology Acceptance Model. This framework provides a comprehensive look of the critical factors that influence the instructors' perceived ease of use and perceived usefulness of LMS and consequently the actual use. These critical factors are related to the instructor, organization, and technology. Instructor factors include self efficacy, attitude toward LMS, experience, teaching style and personal innovativeness. Organization factors include motivators, technology alignment, organization support, technical support and training. Technology factors include system quality, information quality and service quality.
TL;DR: In this paper, a comparison was made between industry 4.0 and society 5.0, and a discussion on the alignment and impact of industry4.0 on e-commerce.
Abstract: This paper discusses e-commerce, industry 4.0 and society 5.0 which includes definitions, history, framework and dimensions of technology. From this scope, a comparison was made between industry 4.0 and society 5.0 and a discussion on the alignment and impact of industry 4.0 and society 5.0 on e-commerce. After a deeper comparison and discussion, it can be concluded that technology society 5.0 is a continuation of industry technology 4.0. Then there is technology alignment between e-commerce with the era of industrial 4.0 and society 5.0, where e-commerce technology follows and adapts its technology to each of those eras. The era of industrial 4.0 and society 5.0 had many positive impacts on the development and progress of e-commerce.
TL;DR: A model that integrates the alignment between the strategic and operational levels which offers a holistic view of BIA is developed, different from previous studies that considered only one or the other level.
TL;DR: The theory-building process shows the need to identify and develop PM-based technology alignment Dynamic Capabilities (PM-DCs) which help in improving and maintaining alignment between business strategy and technology strategy (Level 1 alignment) and between technology strategy andtechnology practices (Level 2 alignment).
Abstract: Rapid changes in market structures and technology lead to misalignment between strategy and operations. Whist this phenomenon is most prevalent in technology-based manufacturing industries, utility organisations (e.g. electricity and telecoms) provide a useful context to explore the Performance measurement (PM) and technology alignment challenges from a Dynamic Capabilities Theory perspective where there is a progressive shift towards deregulated markets. The aim of this paper is twofold: first, to explore the role of Dynamic Capabilities Theory and PM approaches in improving the alignment between business strategy and technology strategy (Level 1 alignment); second, to explore the role of Dynamic Capabilities Theory and PM approaches in aligning technology strategy with operational technology routines and practices (Level 2 alignment). In the absence of overarching theory, an inductive approach draws upon Dynamic Capabilities theory. Four longitudinal case studies are used leading to the development of a...
TL;DR: The objective of the integrated technology roadmapping methodology STAR® outlined in this paper is to enable companies to align their technology acquisition programmes to meet their business objectives.
Abstract: The objective of the integrated technology roadmapping methodology STAR® outlined in this paper is to enable companies to align their technology acquisition programmes to meet their business objectives. STAR® has three phases: a preliminary phase involving the setting up of an enterprise framework; a technology data collection phase; and a project creation and assessment phase. STAR® utilises the analytic hierarchy process to rank company technology requirements, several non-financial factors to determine the alignment of proposed projects and visual representations to select a portfolio of projects. Project evaluations have demonstrated that statistically significantly different project selection outcomes arise from the additional non-financial factors included in STAR®. Elements of STAR® are being implemented at a major collaborator, and it is planned to implement the whole STAR® methodology within a year. An integrated enterprise level roadmapping methodology such as STAR® offers an objective way of selecting and evaluating projects and, later, of re-evaluating and improving the process.