THE OTHERS: the role of individual personality, cultural acculturation, and perceived value on towards firm’s social media and acculturation orientation

This paper systematically examines (i) how individual personality can influence on cultural acculturation which can impact on the higher level of perceived value in LGBTs, and (ii) how the higher level of perceived value towards social media can result in being more satisfied, (iii) consequently having a better working life at workplace and performance proficiency. The generated framework was validated through a survey from multinational corporations in multi-industries such as higher education (with more than two campuses around the world), global fashion, global retailing, tourism, hospitality, food, and electronics and information technology. Key results, implications for managers and researchers are highlighted

Assessing the Implementation of AI Integrated CRM System for B2C Relationship Management: Integrating Contingency Theory and Dynamic Capability View Theory

Customer relationship management (CRM) is a strategic approach to manage an organization’s interaction with current and potential customers. Artificial Intelligence (AI) can analyze huge volume of data without human intervention. The integration of AI with existing legacy CRM system in the business to customer (B2C) relationship makes sense given the massive potential for growth of AI integrated CRM system. Failure to plan AI-CRM technology implementation in an organization could lead some to success and others to failure. The Contingency theory states that it is not possible for organizations to take decisions without a contingency plan and the optimal course of action depends on the internal and external circumstances. The Dynamic Capability View theory emphasizes the organizational ability to react adequately in a timely manner to any external changes and combines multiple capabilities of the organization, including organizational CRM and AI capabilities. Against this background, the purpose of this study is to examine the success and failure of implementation of AI integrated CRM system in an organization from B2C perspective using Contingency theory and Dynamic Capability View theory. The study finds that information quality, system fit, and organizational fit significantly and positively impact the implementation of AI-CRM for B2C relationship management. Also, there is a moderating impact of technology turbulence on both acceptance and failure of AI-CRM capability in the organization

Towards a Framework for Understanding Ethnic Consumers' Acculturation Strategies in a Multicultural Environment: A Food Consumption Perspective

© Bidit Lal Dey, Sharifah Alwi, Fred Yamoah, Stephanie Agyepongmaa Agyepong, Hatice Kizgin andMeera Sarma. Purpose – While it is essential to further research the growing diversity in Western metropolitan cities, little is currently known about how the members of various ethnic communities acculturate to multicultural societies. The purpose of this paper is to explore immigrants’ cosmopolitanism and acculturation strategies through an analysis of the food consumption behaviour of ethnic consumers in multicultural London. Design/Methodology/Approach – The study was set within the socio-cultural context of London. A number of qualitative methods such as in-depth interviews, observation and photographs were used to assess consumers’ acculturation strategies in a multicultural environment and how that is influenced by consumer cosmopolitanism. Findings – Ethnic consumers’ food consumption behaviour reflects their acculturation strategies, which can be classified into four groups: rebellion, rarefaction, resonance and refrainment. This classification demonstrates ethnic consumers’ multi-directional acculturation strategies, which are also determined by their level of cosmopolitanism. Research implications/limitations – The taxonomy presented in this paper advances current acculturation scholarship by suggesting a multi-directional model for acculturation strategies as opposed to the existing uni-directional and bi-directional perspectives and explicates the role of consumer cosmopolitanism in consumer acculturation. The paper did not engage host communities and there is hence a need for future research on how and to what extent host communities are acculturated to the multicultural environment. Practical implications – The findings have direct implications for the choice of standardization versus adaptation as a marketing strategy within multicultural cities. Whilst the rebellion group are more likely to respond to standardization, increasing adaptation of goods and service can ideally target members of the resistance and resonance groups and more fusion products should be exclusively earmarked for the resonance group. Originality/Value – The paper makes original contribution by introducing a multi-directional perspective to acculturation by delineating four-group taxonomy (rebellion, rarefaction, resonance and refrainment). This paper also presents a dynamic model that captures how consumer cosmopolitanism impinges upon the process and outcome of multi-directional acculturation strategies

Rumour Veracity Estimation with Deep Learning for Twitter

Part 4: Security, Privacy, Ethics and MisinformationInternational audienceTwitter has become a fertile ground for rumours as information can propagate to too many people in very short time. Rumours can create panic in public and hence timely detection and blocking of rumour information is urgently required. We proposed and compare machine learning classifiers with a deep learning model using Recurrent Neural Networks for classification of tweets into rumour and non-rumour classes. A total thirteen features based on tweet text and user characteristics were given as input to machine learning classifiers. Deep learning model was trained and tested with textual features and five user characteristic features. The findings indicate that our models perform much better than machine learning based models

Attention-based LSTM network for rumor veracity estimation of tweets

YesTwitter has become a fertile place for rumors, as information can spread to a large number of people immediately. Rumors can mislead public opinion, weaken social order, decrease the legitimacy of government, and lead to a significant threat to social stability. Therefore, timely detection and debunking rumor are urgently needed. In this work, we proposed an Attention-based Long-Short Term Memory (LSTM) network that uses tweet text with thirteen different linguistic and user features to distinguish rumor and non-rumor tweets. The performance of the proposed Attention-based LSTM model is compared with several conventional machine and deep learning models. The proposed Attention-based LSTM model achieved an F1-score of 0.88 in classifying rumor and non-rumor tweets, which is better than the state-of-the-art results. The proposed system can reduce the impact of rumors on society and weaken the loss of life, money, and build the firm trust of users with social media platforms

The impact of social media on consumers' acculturation and purchase intentions

YesSocial media has emerged as a significant and effective means of assisting and endorsing activities and communications among peers, consumers and organizations that outdo the restrictions of time and space. While the previous studies acknowledge the role of agents of culture change, it largely remains silent on the role of social media in influencing acculturation outcomes and consumption choices. This study uses self-administered questionnaire to collect data from 514 Turkish-Dutch respondents and examines how their use of social media affects their acculturation and consumption choices. This research makes a significant contribution to consumer acculturation research by showing that social media is a vital means of culture change and a driver of acculturation strategies and consumption choices. This study is the first to investigate the role of social media as an agent of culture change in terms of how it impacts acculturation and consumption. The paper discusses implications for theory development and for practice

Harnessing the Potential of Artificial Intelligence to Foster Citizens’ Satisfaction: An empirical study on India

Governments are increasingly employing artificial intelligence (AI) enabled services though this is still a relatively new concept that is in nascent stages of implementation. Despite growing emphasis by governments on employing AI-enabled services, many citizens are skeptical of their benefits; this makes an analysis of AI-enabled services an important area of research, especially from the perspective of citizens. This paper employs IT assimilation theory and public value theory to develop a theoretical model that examines whether the introduction of AI-enabled services would generate public value for citizens in India. The model employs the Partial Least Square-Structural Equation Modeling (PLS-SEM) technique to examine how risk factors impact the uptake of AI-enabled services in India. Based on 315 interviews conducted in India, the study highlights that the breadth and depth assimilation of AI-enabled services positively impacts and enhances the satisfaction of citizens, which in turn generates public value