Understanding how m-payment influences individual performance: Task-technology fit and Culture-technology fit perspective

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceM-payments are rapidly spreading around the globe with the growing use of digital payment methods such as Apple Pay or money transfer platforms (e.g., MB Way). Many studies address m-payment but most focus on the user adoption phase. We seek to understand individual performance with the combination of the task-technology fit model and the culture-technology fit. This will enable us to determine how culture impacts performance. The research methodology is based on an online survey questionnaire with 199 participants. The results show that technology characteristics play a role in TTF, and TTF influences the use and individual performance. Furthermore, the moderators’ time perception and context have a significant effect in individual performance over use

Culture dynamics of information and communication technology (ICT) adoption in construction companies

Innovation is essential in enhancing organizational efficiency and performance, particularly in a rapidly globalizing market. Substantial hidden innovations exist in the construction sector, such as information and communication technology (ICT), which has been identified as a key to enhance information processing in construction. However, technology does not necessarily bring success to an organization. Innovation adoption processes are embedded in organizational culture, which varies from organization to organization. Due to the dual nature of technology and the dynamic nature of culture, the relationship between technology and culture is bidirectional. The technology interacts with organizational culture when an individual attempts to perform their tasks by adopting the technology. This sheds light on the importance of investigating the fit between technology, culture, person and task in ICT adoption in construction. Based on the literature review, a conceptual framework is developed for the interaction between technology, culture, task and person. The framework includes two levels: organizational level and individual level. The organizational level interaction is technology centered, focusing on the fit between the values embedded in organizational culture and in the technology. The individual level interaction is task centered, which focuses on the fit between the technology and task requirements, and the fit between competency of an individual and the task requirements. The various key constructs are also identified: i) culture–technology fit, ii) task–technology fit, iii) person–task fit, iv) person–culture fit and v) information behavior. Based on the study, a subset of empirical framework is developed for further analyses, and two propositions are put forward based on the framework: i) Technology-culture fit at organizational level is associated with task-technology fit at individual level, and ii) Individual value preference, information behavior and person-task fit influence task-technology fit.published_or_final_versio

Pengaruh Karakteristik Tugas, Teknologi Dan Individu Terhadap Task-Technologi Fit Pada PT. Vista Agung Kencana

This research is motivated by a number of employees who use a computer to complete the task of the company. From this it appears possible that an individual attitudes toward computer information technology. To take measurements of the attitudes in the used task -technology fit. Variables used in this research is the task characteristic, technological characteristics and individual characteristics as independent variables while, the dependent variable in this study is the task -technology fit. This study aims to determine the factors that affect the performance of employees at PT .Vista Agung Kencana Palembang. The samples are 34 respondents employees of PT .Vista Agung Kencana Palembang on Finance Division , IT Division , Accounting Division , division marketing. Multiple linear regression analysis is used as a data analysis technique. The results showed that the individual variables did not significantly influence employee performance. Variable Task characteristics, technological characteristics affect the performance of employees. As well as the three variables, namely the characteristic variable Tasks, technological characteristics and individual characteristics together affect the performance of employees using the model of task -technology fit

Exploring Technology and Task Adaptation Among Individual Users of Mobile Technology

IS research often focuses on the contributions of information systems to organizational productivity. The task-technology fit theory proposes a positive contribution to performance when there is a good fit between the technology and the task. The fit appropriation model further proposes that the relationship between fit and performance is moderated by the user’s appropriation of the technology. This research extends these theories by investigating the role of adaptation in the fit between task and technology. Prior research has modeled adaptation as a single construct encompassing task, technology and the individual, which does not allow for an understanding of the relationship among these items. We propose that adaptation should be measured as two distinct constructs. We develop and validate a scale to measure task adaptation and technology adaption and find support for task adaption as a mediator of the effects of technology adaptation on performance

Using Multiple-case Studies to Investigate Relationships among Knowledge Management Systems, Business Process and Business Performance: A Task Technology Fit Perspective

In the face of heighted competition, organizations need to continuously improve their competitive advantage. Both knowledge management (KM) and knowledge management systems (KMS) play a pivotal role in helping organizations to stay competitive. There is much research in KMS, however very little is known about how they affect individual and organizational performance. Drawing on task-technology fit theory (Goodhue and Thompson, 1995), this study explores the fit or alignment between business process (task) and KMS (technology) and its impact on KMS utilization based on multiple case studies. Subsequently, the impacts of both the task-technology fit and KMS utilization on individual and business performance are investigated. This paper contributes to the KM literature in several ways. First, it applies task-technology fit theory to an important context, that of KM. Second, it characterizes task as business processes which have the potential to help explain KMS success on business performance. Third, the paper explores the positive impact of task-technology fit on KMS utilization and business performance. Fourth, the study provides insight into the future development of KMS which are better aligned with managerial purpose

Applying an Extended Task-Technology Fit for Establishing Determinants of Mobile Learning: An Instant Messaging Initiative

The high proliferation of mobile instant messaging (MIM) among university students creates opportunities for a new wave of mobile learning. However, correlational methods for assessing factors that influence student performance impacts on MIM platforms for learning are blurry. The task-technology fit theory has been widely used in the past in predicting performance impacts of users after using new technology. Despite the momentum gained by this framework in the information systems community, it lacks focus on user characteristics. The purpose of this study is to develop an extended model for task-technology fit through an integration of individual antecedent characteristics. Data were collected from 223 participants using a survey questionnaire. The analysis was performed using the partial least squares approach to structural equation modelling. The findings of the study confirmed the original task-technology fit hypotheses considered in this study. Study findings associated with individual antecedent characteristics indicate that perceived ease of use and perceived usefulness of the academic use of the MIM positively influence task-technology fit, while social influence was found to have no significant bearing on task-technology fit

What Factors Satisfy E-Book Platform Customers? Development of A Model to Evaluate E-Book User Behavior and Satisfaction

The use of e-book readers has become increasingly widespread; however, there are few studies to evaluate e-book user behavior and satisfaction on e-book platforms, and even fewer approaches the subject from the perspective of task-technology fit. In order to fill this gap, this study adopts task-technology fit theory to explore the factors that affect the behavior satisfaction of users on commercial e-book platforms. Our research model excludes utility and performance from task-technology fit theory to focus on individual user satisfaction measurement because general e-book platform users are not concerned about work performance issues in leisure activities. The results show that functional service, convenience, and searching task are important factors that influence users\u27 task-technology fit behavior. Moreover, task-technology fit may improve users\u27 satisfaction, flow and scanpath. Finally, satisfaction is affected by task-technology fit and flow factors. An analysis of the research explained 61 percent of the variance in users’ task-technology fit, and 59 percent of the variance in satisfaction to use e-book platform. These results provide a new perspective to e-book researchers and can help e-book platform managers and designers in making policies and designing platforms

PENGARUH KECOCOKAN TUGAS DAN PEMANFAATAN TEKNOLOGI SISTEM INFORMASI TERHADAP KINERJA INDIVIDUAL PADA KANTOR WILAYAH XI DIREKTORAT JENDERAL PAJAK JAWA BAGIAN TIMUR I

Today the technology of information system in organization, both business organization and government organization become important dealing with punctuality and the true of suppying on information which are inquired by customer. However the utilization of information technology on information system an organization must be considered carefully because of the amount technology investment is relative large. The information system is one of the potential tools to create competition, because it can increase productivity (Bodnar and Hopwood, 1995). The aim of this research is to gain empirical prove which shows task-techology fit and utilization technology have positive influence to individual performance and task-techology fit has significant influence to the utilization of information technology by individual. The sample for this research is every employee at Kantor Wilayah XI Direktorat Jenderal Pajak Jawa Bagian Timur I for using information system based on computer to identify, get, integrate, implementing data on running task. The research find empirical prove which is to predict the performance effect which caused by information technology that have ti insert both task-techology fit and the utilization of information technology. The result of this research also gives empirical prove that causal relation between task-techology fit and the utilization of information technology

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