An exploratory study into barriers and facilitators using a One Button Tracker and web-based data analytics tool for personal science (Preprint)

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

Download Full-text

Framing a Sustainable Architecture for Data Analytics Systems: An Exploratory Study

IEEE Access ◽

10.1109/access.2018.2872673 ◽

2018 ◽

Vol 6 ◽

pp. 61600-61613 ◽

Cited By ~ 1

Author(s):

Jitong Zhao ◽

Yan Liu ◽

Peng Zhou

Keyword(s):

Exploratory Study ◽

Data Analytics ◽

Sustainable Architecture

Download Full-text

Stopping to Listen: Using Qualitative Methods to Inform a Web-Based Platform for Adults With Neurofibromatosis

Journal of Patient Experience ◽

10.1177/23743735211049644 ◽

2021 ◽

Vol 8 ◽

pp. 237437352110496

Author(s):

Ethan G. Lester ◽

Paula J. Popok ◽

Victoria A. Grunberg ◽

Alejandro Baez ◽

Farahdeba Herrawi ◽

...

Keyword(s):

Psychosocial Support ◽

Qualitative Interviews ◽

Psychosocial Care ◽

Barriers And Facilitators ◽

Web Based ◽

Positive Attitudes ◽

Efficient Access ◽

Semistructured Interviews ◽

Life Context ◽

Specific Factors

Introduction: Psychosocial care for people with neurofibromatosis (NF) is challenging to access. Therefore, we sought to develop a self-guided web-based treatment platform for people with NF based on the live video relaxation response resiliency program for NF (3RP-NF). Here we report on qualitative interviews with adult patients who participated in the 3RP-NF to: (a) understand participant perceptions of the 3RP-NF program and (b) gather feedback for a self-guided web-based treatment platform (i.e., NF-Web). Methods: We conducted individual semistructured interviews ( N = 23; videoconferencing). We utilized both the Framework method and a hybrid deductive and inductive approach to analyze qualitative data. Results: We examined findings within the following themes for both 3RP-NF and NF-Web: (a) general attitudes, (b) barriers and facilitators, and (c) program-specific factors. Participants endorsed positive attitudes towards the 3RP-NF and NF-Web and described unique barriers and facilitators to each and provided suggestions regarding technology, NF-specific needs, and ways to promote social support virtually. Conclusions: This study highlights the importance of gathering participant feedback when designing novel, illness-specific interventions. In future studies, we aim to provide people with NF effective and efficient access to psychosocial support that matches their needs and life context. Results are informing NF-Web development.

Download Full-text

How Well Do E-Commerce Web Sites Support Compensatory and Non-Compensatory Decision Strategies? An Exploratory Study

Strategic Information Systems ◽

10.4018/978-1-60566-677-8.ch103 ◽

2011 ◽

pp. 1592-1607

Author(s):

Naveen Gudigantala ◽

Jaeki Song ◽

Donald R. Jones

Keyword(s):

Decision Making ◽

Web Sites ◽

Exploratory Study ◽

Decision Quality ◽

Consumer Decision Making ◽

Online Retailing ◽

Compensatory Strategies ◽

Decision Strategies ◽

Web Based ◽

Levels Of Support

The burgeoning growth of online retailing is forcing businesses to provide better support for consumer decision making on e-commerce Web sites. Consequently, researchers in information systems and marketing have been focusing on investigating the effectiveness of Web-based decision support systems (WebDSS) in providing accurate and satisfying choices for customers. We consider WebDSS implementation based on compensatory, non-compensatory decision strategies and synthesize the existing literature. The results of synthesis show that compensatory WebDSS perform better than non-compensatory WebDSS in terms of decision quality, satisfaction, effort, and confidence. We then investigate the level of Web site support provided for consumers’ execution of compensatory and non-compensatory strategies. We examined 375 U.S.-based company Web sites and found that though moderate levels of support exists for consumers to implement non-compensatory choice strategies, virtually no support exists for executing multi-attribute-based compensatory choice strategies.

Download Full-text

An Intelligent System for Predicting a User Access to a Web Based E-Learning System Using Web Mining

International Journal of Information Technology and Web Engineering ◽

10.4018/ijitwe.2020010106 ◽

2020 ◽

Vol 15 (1) ◽

pp. 75-94 ◽

Cited By ~ 1

Author(s):

Sathiyamoorthi V.

Keyword(s):

Data Analytics ◽

Web Mining ◽

Intelligent System ◽

Learning System ◽

Web Based ◽

Challenging Tasks ◽

E Learning ◽

User Access ◽

Near Future ◽

A Company

In this Internet era, with ever-increasing interactions among participants, the size of the data is increasing so rapidly such that the information available to us in the near future is going to be unpredictable. Modeling and visualizing such data are one of the challenging tasks in the data analytics field. Therefore, business intelligence is the way in which a company can use data to improve business and operational efficiency whereas data analytics involves improving ways of making intelligence out of that data before acting on it. Thus, the proposed work focuses on prevailing challenges in data analytics and its application on social media like Facebook, Twitter, blogs, e-commerce, e-service and so on. Among all of the possible interactions, e-commerce, e-education, and e-services have been identified as important domains for analytics techniques. So, it focuses on machine learning technique in improving practice and research in such e-X domains. Empirical analysis is done to show the performance of proposed system using real-time datasets.

Download Full-text