Early Warning Systems and Resilience: A Quest for Equilibrium

This communication aims to answer to the following research question: “How can Early Warning Systems support the production activity and make it resilient?” Based on an ethnographic case study, we display that even a simple tool can be helpful for a CEO. We assess that the resilience comes from a well-balanced combination of a qualitative human management and of an analytical system. This equilibrium depends on the fit between the task, the system and the user.Early Warning Systems, Task-Technology-Fit Model, Resilience as performance

Hubungan Usia, Tingkat Pendidikan, Dan Gender Pemilik UMKM Terhadap Program UMKM Go Digital Di Kabupaten Gresik

The government of Indonesia supports the development of small and medium-sized enterprises (SMes) by providing many programs to accelerate their business. UMKM Go Digital is one of the program provides easier access for SMEs into digital market. However, the participation rate was relatively low as less than 5%. This research aims to investigate the problem by integrating two theories in technology adoption, which are the Task Technology Fit (TTF) and the Unified Theory of Acceptance and Use of Technology (UTAUT)-then developed as UTAUT2. The research model explains 84,5% and 88,7% variation in TTF and use behaviour of UMKM Go Digital, respectively. The result also confirms that age, gender and education level have not affected the adoption. Future research should consider to extend the originated-location of the SMEs and the number of the participants as well to gain more comprehensive result

An Exploratory Study on the Factors Influencing Managers’ Use of Mobile Tablets

Although mobile tablets such as iPads are being used by many managers, there has been a relative dearth of research on the managerial use of the mobile technology. This exploratory study aims to identify and understand the factors influencing the use of mobile tablets by managers. Semi-structured interviews were conducted with a panel of seven managers who had incorporated mobile tablets into their work routine. The study has found that the mobile tablet is a suitable device for managerial tasks due to these nine main factors: non-routineness, collaborative nature, time-critical, information-centric, mobility, user friendliness of the interface, reliability, connectivity, and autonomy. This exploratory study fills in the research gap and provides a basis to help managers establish a business case for or against mobile tablets adoption

Task-Technology Fit for Textile Cyberpreneur’s Intention to Adopt Cloud-based M-Retail Application

Task-Technology  Fit  (TTF)  model  has been widely used in many researches for understanding the compatibility of task characteristics and technology characteristics. Applying TTF in mobile retail (m-retail) context from the perspectives of retailers might give the insights of their intention to adopt mobile cloud application technology for online business operations. Since it is currently common for retailers such as textile cyberpreneurs to conduct m-retail via the uses of certain mobile applications and devices, it is essential to investigate the usage intention based on task-related factors. Therefore, the objective of this study is to examine the compatibility of textile cyberpreneurs’ tasks and characteristics of cloud-based m-retail application (CBMA) along with their usage intention to adopt the technology for their online business transactions. This research model surveyed 348 Malaysian textile cyberpreneurs. The results show that both task characteristics and technology characteristics have positive significant effects on task-technology fit. Further analysis also suggests the fitness between task and technology has positively influenced textile cyberpreneurs’ intention to adopt cloud-based m-retail application. The findings contributed in acknowledging the usage intention among textile cyberpreneurs based on task-related factors which might be useful for service providers in delivering the right services for end-users. The directions for future research are also discussed

The Pathway to Enterprise Mobile Readiness: Analysis of Perceptions, Pressures, Preparedness, and Progression

Ubiquitous computing is becoming a reality around us through the combination of personal mobile device proliferation and pervasive computing technologies. The objective of this qualitative research in progress is to understand challenges organizations face from the evolutionary nature of mobile computing and uncover how they “get ready” to meet the mobile needs of their stakeholders. Grounded in evolutionary theory, the current research explores perceptions of mobile computing, and the pressures, preparations, and progression of enterprise mobile readiness (EMR) in the context of higher education. Preliminary findings show that decoupled structure and resistance by gatekeepers are key challenges to EMR. Additionally, IS providers have given little thought about how to benchmark their EMR efforts. This research contributes to the extant literature and helps fill an important gap in mobile research at the organizational level

Evaluating Task-Technology Fit and User Performance for an Electronic Health Record System

Assessing user satisfaction, acceptance and performance impacts of information systems have long traditions in information systems research. With an increasing focus on broader adoption and implementation of electronic health records (EHR’s), research examining user evaluation and performance impacts will play an essential role in the successful design, implementation, and efficient use of these systems. In this study, we analyze user evaluations of an EHR system and assess the impact on individual performance of such systems using the Task-technology Fit (TTF) theory. TTF postulates that individual performance is more likely to be positively impacted if there is a “fit” between the requirements of the task and the features of the technology. Overall, user evaluations for the eight dimensions of TTF considered in this study are positive. Moreover, the model exhibits a good fit with the data and provides a satisfactory explanatory power for individual performance impact with data quality and ease of use/training being significant determinants of performance impact

Anonymity, Privacy, and Disclosure (APD) Triad on Social Networking Applications

While the average time people spend on their mobile apps continues to increase, the life cycle of using new social networking apps (SNA) remains relatively short, mostly due to privacy concern. For SNA users, it is important to know how the perception of anonymity and privacy concern determine the depth of disclosed information. For many SNA developers and practitioners, understanding the actual engagement of users on the platform is critical for measuring success of the app. Previous research has evaluated motivations/preventions of app usage and consequences of continuing usage. Despite efforts to understand the engagement with mobile devices and other users, there is little work in the Information Systems (IS) field to simultaneously investigate the triad of anonymity, privacy concern, and disclosure (APD) on continuous engagement with SNAs. Through the lens of contextual integrity of privacy, this research proposes a research model to investigate APD relationships with perceived and actual engagements with a new SNA. The research model is tested using a survey and actual usage data captured from users’ log files provided by mobile app developers. Results demonstrate how privacy is significantly related with actual engagement while anonymity relationship with actual engagement is fully mediated by perceived engagement

Exploring the Link between System Integration and Technology Usage

Recent developments in the area of electronic accounting information systems have enabled accounting firms to move their focus from paper-based, mandatory business reporting and book-keeping to value-added services, such as providing cash flow forecasts to their customer companies (typically SMEs). In this study, we explore the usage of cash flow forecasting systems in accounting firms. Drawing on the theories of technology acceptance and usage and empirical data from 108 accounting firms, we find that system integration is a key determinant in explaining the task-technology fit which, in turn, explains the usage of cash flow forecasting systems. Further analysis revealed that frequent users of cash flow forecasting systems relied on commercial, highly integrated solutions, whereas ad hoc users preferred spreadsheet programs

Open Source Software and Performance: A Fit Perspective

Although Open Source Software (OSS) is popular, its continued use in organizations remains an issue, as evidenced by users reporting frequent problems, experiencing hold-ups, and running into implementation and integration issues. Often, it is argued that fit between the person’s task, values and work demands pose challenges for the successful use of OSS. In this context, this study draws on the concepts of task-technology fit and person-organization fit to develop a model to explore how different dimensions of fit interact with each other to influence OSS user’s productivity and innovation performance. Survey data was collected from OSS users to test the proposed model. Results of the analysis show that when there is fit between an individual’s OSS skills and the nature of the task to be performed (demand-ability fit), an OSS user’s productivity performance increases, whereas, his innovation performance decreases. Further, when the organization’s OSS values matches that of the individual user’s (value-based fit), his task productivity decreases. Implications of the results suggest that organizations that intend to use OSS for a long time need to recruit employees keeping in mind the nature of their OSS projects and the demands and priorities of the tasks performed in the organization

Understanding mobile augmented reality adoption in a consumer context

Purpose The purpose of this paper is to further our knowledge of what influences users to adopt mobile augmented reality in tourism (MART). A conceptual model is proposed, combining the extension of Unified Theory of Acceptance and Usage of Technology (UTAUT2) with task technology fit (TTF), to explain behavioural intention and user behaviour of MART adopters. Design/methodology/approach A questionnaire was completed by a sample of 335 respondents in Portugal. Both UTAUT2 and TTF were combined into a new model from which several hypotheses were drawn based upon the literature. Findings The results have shown that the model explains 72 per cent of the variance in behaviour intention to use MART and 45 per cent of the variance in user behaviour. Originality/value MART is becoming increasingly known to travellers as it provides the user diverse and useful information with a real relationship with the world. By studying behaviour and what influences consumers to use MART, this study aims to advance the research into new technologies in tourism.info:eu-repo/semantics/acceptedVersio