Neda Abdolvand - Profile on Academia.edu (original) (raw)

Papers by Neda Abdolvand

Research Square (Research Square), Feb 5, 2024

The purpose of this paper was analyzing the performance of elite taekwondo athletes with machine ... more The purpose of this paper was analyzing the performance of elite taekwondo athletes with machine learning approaches through achieving three objectives: (1) clustering the performance of elite taekwondo athletes into four clusters of excellent to poor performance, (2) determining the most effective physical characteristics for performance in this sport, and (3) predicting their medal-winning in the world competitions. Descriptive and predictive models were employed based on the National Olympic Academy dataset of Iranian taekwondo athletes' physical tness and anthropometric records which were collected during 1996-2019. In the female (999 records) and male (1560 records) datasets, SOM-kmeans and SOM-spectral clustering algorithms (with average test e ciency of Silhouette as 80%, 79% and Davies-Bouldin as 20%, 34%) were applied and 4 clusters have been obtained based on different physical functions of taekwondo athletes and the number of medals allocated in each cluster. Semi-supervised learning model using the CPLE-Learning algorithm in both female and male datasets demonstrated the possibility of winning medals in the competitions. The accuracy of predicting gold, silver and bronze medals in female dataset were 68%, 59% and 73%, and in the male dataset have been found 58%, 61% and 54%, respectively. The results indicate that machine learning algorithms' ability in sports performance analysis provides valuable information for the management of taekwondo athletes and better planning to prepare them physically.

Review for "The impact of social media marketing activities in the museum industry

Investigating Psychological Empowerment of Employees Through Their Self-Assessment (in Persian)

Social Science Research Network, 2016

Two-dimensional analysis of customer behavior in traditional and electronic banking

Digital Business

A Holistic Model Based on CLV for Performance Management in Service Industry

A model for analyzing the barriers of using Business Intelligence (BI) in the tourism industry of Iran, a mixed method approach

SSRN Electronic Journal, 2021

Customer Behavior Analysis using Web Usage Mining

Social Science Research Network, 2018

Social Science Research Network, 2017

With the emergence of electronic commerce, the development of social networks has introduced the ... more With the emergence of electronic commerce, the development of social networks has introduced the concept of social commerce. Since accepting new technology can be somewhat challenging for Internet users, this study examines the effect of perceived risk on the adoption of social commerce from their perspective. For this purpose, a conceptual model based on the Technology Acceptance Model (TAM) has been created to take into account different types of risks, including financial, functional, social, time, psychological, and privacy risks. The results of the study, which applied a structural equation modelling (SEM) approach and partial least squares (PLS), revealed that, among 277 active users of social media, perceived risk has a significant impact on the perceived usefulness of social commerce. Moreover, among the different constructs of risk, psychological and social risks have no noticeable effect on commerce adoption.

Critical Success Factors of Crowdsourcing-Based New Product Development

Social Science Research Network, 2020

Journal of Information Systems and Telecommunication (JIST), Sep 1, 2017

Today, increased competition between organizations has led them to seek a better understanding of... more Today, increased competition between organizations has led them to seek a better understanding of customer behavior through innovative ways of storing and analyzing their information. Moreover, the emergence of new computing technologies has brought about major changes in the ability of organizations to collect, store and analyze macro-data. Therefore, over thousands of data can be stored for each customer. Hence, customer satisfaction is one of the most important organizational goals. Since all customers do not represent the same profitability to an organization, understanding and identifying the valuable customers has become the most important organizational challenge. Thus, understanding customers' behavioral variables and categorizing customers based on these characteristics could provide better insight that will help business owners and industries to adopt appropriate marketing strategies such as up-selling and cross-selling. The use of these strategies is based on a fundamental variable, variety of products. Diversity in individual consumption may lead to increased demand for variety of products; therefore, variety of products can be used, along with other behavioral variables, to better understand and categorize customers' behavior. Given the importance of the variety of products as one of the main parameters of assessing customer behavior, studying this factor in the field of business-to-business (B2B) communication represents a vital new approach. Hence, this study aims to cluster customers based on a developed RFM model, namely RFMV, by adding a variable of variety of products (V). Therefore, CRISP-DM and K-means algorithm was used for clustering. The results of the study indicated that the variable V, variety of products, is effective in calculating customers' value. Moreover, the results indicated the better customers clustering and valuation by using the RFMV model. As a whole, the results of modeling indicate that the variety of products along with other behavioral variables provide more accurate clustering than RFM model.

Assessing readiness for business process reengineering

Business Process Management Journal, Jul 25, 2008

PurposeThe purpose of this paper is to propose how to minimize the risks of implementing business... more PurposeThe purpose of this paper is to propose how to minimize the risks of implementing business process reengineering (BPR) by measuring readiness. For this purpose, the paper proposes an assessment approach for readiness in BPR efforts based on the critical success and failure factors.Design/methodology/approachA relevant literature review, which investigates success and failure indicators in BPR efforts is carried out and a new categorized list of indicators are proposed. This is a base for conducting a survey to measure the BPR readiness, which has been run in two companies and compared based on a diamond model.FindingsIn this research, readiness indicators are determined based on critical success and failure factors. The readiness indicators include six categories. The first five categories, egalitarian leadership, collaborative working environment, top management commitment, supportive management, and use of information technology are positive indicators. The sixth category, resistance to change has a negative role. This paper reports survey results indicating BPR readiness in two Iranian companies. After comparing the position of the two cases, the paper offers several guidelines for amplifying the success points and decreasing failure points and hence, increasing the rate of success.Originality/valueHigh‐failure rate of BPR has been introduced as a main barrier in reengineering processes. In addition, it makes a fear, which in turn can be a failure factor. This paper tries to fill the gap in the literature on decreasing risk in BPR projects by introducing a BPR readiness assessment approach. In addition, the proposed questionnaire is generic and can be utilized in a facilitated manner.

The effect of IT flexibility and IT governance on business-IT strategic alignment

International Journal of Business and Systems Research, 2023

The EPC Technology Implications on Cross-Docking

Social Science Research Network, 2005

Quarterly Journal of Management and Development Process, Jun 10, 2016

International journal of advanced information technology, Feb 29, 2016

Information technology outsourcing is one of the factors affecting the improvement of flexibility... more Information technology outsourcing is one of the factors affecting the improvement of flexibility and dynamics of enterprises in the competitive environment. Also, the study of the factors affecting its success has been always considered by business owners and the area of research. Professional experiences and research results consider that the success of IT (Information technology) outsourcing projects relates to the effective knowledge transfer and human factors. The human factors are influenced by the cultural and environmental context of the inside and outside of the organization. Hence, it is necessary to study the effectiveness of these variables in different cultural environments. This study investigates the effect of human factors including the customer motivation and vendor willingness on the success of IT outsourcing projects. For this purpose, the research hypotheses were developed and analyzed by the structural equation method. The result of a field study among 94 companies and organizations show the difference of the findings of this study with earlier findings in other countries. Based on the findings, the client motivation doesn't affect the knowledge transfer but the vendor willingness affects the customer motivation to knowledge transfer. This result can help the business owners to take appropriate approaches for achieving success in IT outsourcing projects.

Journal of Global Information Technology Management, Jan 2, 2018

Although many researchers have investigated the implications of information technology on people,... more Although many researchers have investigated the implications of information technology on people, business, and the environment, most of these studies have focused on developed countries. According to some researchers, IT strategies and organizational outcomes would be significantly different across countries due to existing structural and cultural differences. As such, this research project makes use of social network theory to investigate the varying consequences of IT strategies on job performance, distinguishing the impact of online and offline communication networks. As culture is an essential element in explaining how people interact through communication networks, the role of different cultural factors has been examined further. The results of a field study among 104 information analysts indicated that offline direct, offline indirect, and online direct ties all had a significant impact on their job performance. Moreover, the result of a field study among 50 experts indicated that the achievement motive was the most important among employees, followed by effective cultural factors on IT usage and generalizability.

The journal of money and economy, Mar 1, 2021

Money laundering is among the most common financial crimes that negatively affect countries' econ... more Money laundering is among the most common financial crimes that negatively affect countries' economies and hurt their social and political relations. With the increasing growth of e-banking and the increase in electronic financial transactions, the identification of money laundering methods and behaviors has become more complex; because money launderers, by accessing the Internet and using new technologies, find new ways to legalize their illegal income. Although many efforts have been made to identify suspected cases of money laundering and fight against this financial crime, little success has been achieved in this regard, especially in developing countries. Hence, this study tries to identify the risk factors involved in money laundering in banking transactions. To this end, multiple attribute decision-making methods, such as the Shannon entropy method, hierarchical analysis, and two-level fuzzy hierarchical analysis, have been used to assess and score the risk of various transactions in money laundering. The results indicated that the highest risk of money laundering was in the POS transactions.

Journal of information systems and telecommunication, Aug 27, 2020

Online communities are the most popular interactive environments on the Internet, which provide u... more Online communities are the most popular interactive environments on the Internet, which provide users with a platform to share their knowledge and expertise. The most important use of online communities in cyberspace is sharing knowledge. These communities are a great place to ask questions and find answers. The important challenges of these communities are the large volume of information and the lack of a method to determine their validity as well as expert finding which attracted a lot of attention in both industry and academia in. Therefore, identifying persons with relevant knowledge on a given topic and ranking them according to their expertise score can help to calculate the accuracy of the comments submitted on the internet. In this research, a model for finding experts and determining their domain expertise level by the aid of statistical calculations and the ant colony algorithm in the MetaFilter online community was presented. The WordNet Dictionary was used to determine the relevance of the user's questions with the intended domain. The proposed algorithm determines the level of people's expertise in the intended field by using the pheromone section of the Ant colony algorithm, which is based on the similarity of the questions sent by the users and the shared knowledge of the users from their interactions in the online community.

Factors affecting the adoption of cloud-based CRM in small and medium enterprises

International Journal of Services Technology and Management, 2022