Factors influencing the adoption of social media in service sector small and medium enterprises (SMEs)

Social media has turned into an internet marvel in recent years. This fast technological evolution and intensity of competition oblige companies to constantly looking for different ways to set apart themselves and offer added values to their customers especially in small and medium sized enterprises (SMEs). The increasing popularity of social media has encouraged SMEs to start to consider this means as a new approach to communicate with clients and increase their brand reputation. In spite of the potential benefit and the developing numbers of adopters, previous studies show that only a few SMEs are concerned about social media adoption. Therefore, this forms a necessity to understand more on the factor influence in the decision making of the adoption in SMEs. Lack of literature review also creates another concern that require a thorough research. So the study will discuss the relationship between factors of influencing the adoption of social media in SMEs service sector. The data collected for this study was done by using online survey strategy. This study used 384 as a sample size with a population of total 809 126 Malaysia’s SMEs in the service sector. From the result obtained, the three factors identified: ease of use, usefulness and trust have a significant relationship with adoption while usefulness is most contributed factor in the adoption of social media. This finding will be a valuable data in assisting new entrepreneurs in adopting appropriate social media for their business

Task-Technology Fit in Manufacturing: Examining Human-Machine Symbiosis Through a Configurational Approach

Part 10: The Operator 4.0 and the Internet of Things, Services and PeopleInternational audienceWith the last few years seeing an increased introduction of technological innovations in factories, one of the most pressing issues is how these technologies can be deployed to optimally support the activities of professionals that are actually utilizing them. Despite heavy investments in novel technologies, there are often negative consequences for the human factor, particularly when there is a lack of alignment between the task that it is used towards and the fit in terms of human training and the needs it is targeted to fulfil. In this research we build on the Task-technology Fit theory and a sample of 182 professionals working in Norway and explore the configurations of elements that drive positive impacts when introducing digital technologies to support factory work. We analyze data through a fuzzy set qualitative comparative analysis (fsQCA) method and demonstrate that there are several different combinations of conditions that can deliver positive impacts