A Literature Review of Data Mining Techniques for Enhancing Digital Customer Engagement

The evolution of the customer engagement concept had a positive impact on how business and customers interact. The term digital customer engagement emerged to empower such interaction via encouraging customers to use digital channels. Data mining techniques can help in identifying patterns, generating insights, and making predictions for a massive amount of data. The purpose of this paper is to explore the current literature on data mining techniques to enhance digital customer engagement and review the impact of data mining on analyzing customer's attributes and its key performance indicators influenced by digital customer engagement and affecting business success. The scope of the review encompasses the state of the art of scientific methodologies and models applied to identify customers with the highest potential towards digital engagement. A critical analysis also identified gaps in the literature. This study is the first to explicitly consider data mining techniques for enhancing digital customer engagement with a comprehensive analysis of customer's attributes in different domains.

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Application of Data Mining techniques to identify relevant Key Performance Indicators

Computer Standards & Interfaces ◽

10.1016/j.csi.2016.09.009 ◽

2017 ◽

Vol 50 ◽

pp. 55-64 ◽

Cited By ~ 13

Author(s):

Jesús Peral ◽

Alejandro Maté ◽

Manuel Marco

Keyword(s):

Data Mining ◽

Performance Indicators ◽

Key Performance Indicators ◽

Data Mining Techniques

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Mitigating Wild Animals Poaching Through State-of-the-art Multimedia Data Mining Techniques: A Review

2020 2nd International Conference on Image Processing and Machine Vision ◽

10.1145/3421558.3421584 ◽

2020 ◽

Author(s):

Sibusiso R. Bakana ◽

Yongfei Zhang ◽

Bhekisipho Twala

Keyword(s):

Data Mining ◽

State Of The Art ◽

Multimedia Data ◽

Wild Animals ◽

Data Mining Techniques ◽

Multimedia Data Mining

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The Impact of Accounting Conservatism on Corporate Performance Indicators in Egypt

International Journal of Business and Management ◽

10.5539/ijbm.v14n10p1 ◽

2019 ◽

Vol 14 (10) ◽

pp. 1

Author(s):

Hanaa A. El-Habashy

Keyword(s):

Performance Indicators ◽

Corporate Performance ◽

Positive Impact ◽

Accounting Conservatism ◽

Return On Assets ◽

Return On Equity ◽

Accounting Performance ◽

Conservative Accounting ◽

The Impact ◽

Positive Effect

This study aims to investigate the impact of conservative accounting on corporate performance indicators of Egyptian firms. A sample of balanced data for the 40 most active non-financial companies was collected in the period 2009-2014 to test hypotheses. Panel regression models were used for data analysis. Givoly & Hayn (2000) indicator is used as a benchmark for measuring accounting conservatism. The corporate performance indicators used in this study are return-on-assets (ROA) and return on equity (ROE) representing accounting performance measures, as well as Tobin’s Q which measures market performance. The results of the research show that accounting conservatism has a significant positive impact on corporate performance indicators. This reflects the positive effect of corporate performance on shareholders that leads to a strong corporate financial position. To the best of our knowledge, no study has been conducted in Egypt as an emerging economy.

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Design and Implementation System to Measure the Impact of Diabetic Retinopathy Using Data Mining Techniques

International Journal of Innovative Research in Electronics and Communications ◽

10.20431/2349-4050.0401001 ◽

2017 ◽

Vol 4 (1) ◽

Keyword(s):

Data Mining ◽

Diabetic Retinopathy ◽

Data Mining Techniques ◽

Design And Implementation ◽

Using Data ◽

The Impact

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The role of perceived social media agility in customer engagement

Journal of Research in Interactive Marketing ◽

10.1108/jrim-12-2019-0196 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

David Gligor ◽

Sıddık Bozkurt

Keyword(s):

Social Media ◽

Online Survey ◽

Positive Impact ◽

Customer Engagement ◽

Measurement Scale ◽

Content Type ◽

Study Results ◽

Seeking Behavior ◽

The Impact

Purpose The concept of agility has been applied to several domains to help firms develop the capability to quickly adjust their operations to cope and thrive in environments characterized by frequent changes. Despite the soaring number of social media users and the benefits associated with agility in other domains, the application of agility in a social media context has yet to be explored. Further, little is known about how agility in a social media context impacts desirable customer-related attributes, such as customer engagement and customer-based brand equity (CBBE). This paper aims to address this gap by adapting the construct to social media (i.e. perceived social media agility) and exploring its impact on customer engagement and CBBE. Design/methodology/approach This paper conducted an online survey with 200 adult subjects. This paper used multivariate regression analyzes to empirically test a scale for perceived social media agility and explore its impact on CBBE and customer engagement, along with the moderating role of customer change-seeking behavior. Findings The study results show that perceived social media agility directly and indirectly (through customer engagement) positively influences CBBE. Also, results show that the positive impact of perceived social media agility on CBBE is further magnified for customers high on change-seeking. However, customer change-seeking does not affect the strength or direction of the impact of perceived social media agility on customer engagement. Originality/value This paper contributes to social media literature by adapting and testing a measurement scale for the construct of perceived social media agility and exploring its role in enhancing customer engagement and CBBE.

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Visual Data Mining for Collaborative Filtering

Collaborative Filtering Using Data Mining and Analysis - Advances in Data Mining and Database Management ◽

10.4018/978-1-5225-0489-4.ch012 ◽

2017 ◽

pp. 217-235 ◽

Cited By ~ 1

Author(s):

Marenglen Biba ◽

Narasimha Rao Vajjhala ◽

Lediona Nishani

Keyword(s):

Data Mining ◽

Collaborative Filtering ◽

State Of The Art ◽

The State ◽

Visual Exploration ◽

Visual Data ◽

Visual Data Mining ◽

Data Mining Techniques ◽

Existing Data

This book chapter provides a state-of-the-art survey of visual data mining techniques used for collaborative filtering. The chapter begins with a discussion on various visual data mining techniques along with an analysis of the state-of-the-art visual data mining techniques used by researchers as well as in the industry. Collaborative filtering approaches are presented along with an analysis of the state-of-the-art collaborative filtering approaches currently in use in the industry. Visual data mining can provide benefit to existing data mining techniques by providing the users with visual exploration and interpretation of data. The users can use these visual interpretations for further data mining. This chapter dealt with state-of-the-art visual data mining technologies that are currently in use apart. The chapter also includes the key section of the discussion on the latest trends in visual data mining for collaborative filtering.

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Visual Data Mining for Collaborative Filtering

Decision Management ◽

10.4018/978-1-5225-1837-2.ch059 ◽

2017 ◽

pp. 1274-1292

Author(s):

Marenglen Biba ◽

Narasimha Rao Vajjhala ◽

Lediona Nishani

Keyword(s):

Data Mining ◽

Collaborative Filtering ◽

State Of The Art ◽

The State ◽

Visual Exploration ◽

Visual Data ◽

Visual Data Mining ◽

Data Mining Techniques ◽

Existing Data

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Cluster development policies and firms’ performance: evidence from an emerging economy in Latin America

Journal of Entrepreneurship in Emerging Economies ◽

10.1108/jeee-06-2019-0086 ◽

2020 ◽

Vol 12 (5) ◽

pp. 687-726

Author(s):

Diego Aboal ◽

Marcelo Perera ◽

Flavia Rovira

Keyword(s):

Latin America ◽

Impact Evaluation ◽

State Of The Art ◽

Positive Impact ◽

Evaluation Methods ◽

The Body ◽

Maximum Effect ◽

Content Type ◽

Cluster Development ◽

The Impact

Purpose Impact evaluations of cluster programs at firm level are still scarce in the literature. The available evidence on the effectiveness of such programs based on rigorous quantitative impact evaluations is mixed. The purpose of this paper is to contribute to the body of literature the evaluates quantitatively the impact of cluster programs in emerging economies on firms’ performance. In particular, the authors evaluate the impact of a cluster program in Uruguay on firms’ sales and exports. Design/methodology/approach The authors use state-of-the-art impact evaluation methods to evaluate the impact of the program. In particular, difference in differences and matching methods Findings There is very strong evidence that the program had a positive impact on exports and the propensity to export of firms. However, the evidence of a positive impact on sales is weak. The evidence suggests that the maximum effect of the program can be found in the fourth or fifth year after the intervention. Originality/value The contribution of this paper to the literature is fourfold. First, this paper adds to the scarce body of literature evaluating the effects of cluster development programs with state-of-the-art impact evaluation methods. Second, it adds evidence for Latin America, a region that has implement a number of cluster policies (Maffioli et al., 2016) and where, as far as the authors know, there is only one additional paper evaluating rigorously the impacts of them (Figal-Garone et al., 2015). In addition, the authors provide evidence about the timing of the effects after the implementation of a cluster policy, an important issue that is mostly overlooked in the existent literature. Finally, the paper focus its attention on the impacts on exports and the propensity to export of firms, key elements for small open economies in Latin America that are heavily reliant on foreign currency inflows.

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