This study looks at the impact of national diversity on task and relationship conflict in the context of global virtual teams (GVTs). We investigate the interaction effects of both English skills and openness to linguistic diversity on these relationships. We administered a questionnaire to 283 GVTs working on a collaborative experiential learning project to develop an international business plan. Our results show that, for teams exhibiting high levels of openness to linguistic diversity and high levels of English skills, increased levels of national diversity on the team are associated with lower levels of task and relationship conflict. The relationship is reversed, however, in teams where openness to linguistic diversity and team English skills are low. These findings shed light on the relationship between national diversity and conflict by suggesting that both English skills and team attitudes toward language diversity are important in reducing conflict. Moreover, openness to linguistic diversity may be more important in reducing conflict than the level of team members’ language proficiency.
{"title":"Does National Diversity Impact Conflict in Global Virtual Teams? The Role of Language Factors","authors":"A. Soares, Robert Stephens, Longzhu Dong","doi":"10.18080/jtde.v10n2.496","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.496","url":null,"abstract":"This study looks at the impact of national diversity on task and relationship conflict in the context of global virtual teams (GVTs). We investigate the interaction effects of both English skills and openness to linguistic diversity on these relationships. We administered a questionnaire to 283 GVTs working on a collaborative experiential learning project to develop an international business plan. Our results show that, for teams exhibiting high levels of openness to linguistic diversity and high levels of English skills, increased levels of national diversity on the team are associated with lower levels of task and relationship conflict. The relationship is reversed, however, in teams where openness to linguistic diversity and team English skills are low. These findings shed light on the relationship between national diversity and conflict by suggesting that both English skills and team attitudes toward language diversity are important in reducing conflict. Moreover, openness to linguistic diversity may be more important in reducing conflict than the level of team members’ language proficiency.\u0000 ","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84374717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The objective of this study is to use the South African financial markets (Johannesburg Stock Exchange or JSE and USD/ZAR) as a case study to understand the volatility spillover dynamics of Bitcoin as a digital asset. Methodologically, the study applies the exponential generalized autoregressive conditional heteroskedastic (EGARCH) model, followed by a robustness check by applying the time-varying conditional correlation multivariate GARCH (VCC-MGARCH) model. The study utilizes the data set for the period 2011 to 2019, a period before the COVID‑19 pandemic. The research outcome revealed three interesting observations. First, Bitcoin and the South African stock market are independent of each other. Second, there is a bidirectional shock transmission between Bitcoin and USD/ZAR in the mean returns only, but not variance. Lastly, results confirm the existence of a bidirectional volatility spillover in both the mean and variance between the JSE stock market and the USD/ZAR market. The study outcome should enlighten investors who may want to consider Bitcoin as a diversifier in their investment and portfolio strategies.
{"title":"Volatility Behaviour of Bitcoin as a Digital Asset","authors":"T. Gopane","doi":"10.18080/jtde.v10n2.510","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.510","url":null,"abstract":"The objective of this study is to use the South African financial markets (Johannesburg Stock Exchange or JSE and USD/ZAR) as a case study to understand the volatility spillover dynamics of Bitcoin as a digital asset. Methodologically, the study applies the exponential generalized autoregressive conditional heteroskedastic (EGARCH) model, followed by a robustness check by applying the time-varying conditional correlation multivariate GARCH (VCC-MGARCH) model. The study utilizes the data set for the period 2011 to 2019, a period before the COVID‑19 pandemic. The research outcome revealed three interesting observations. First, Bitcoin and the South African stock market are independent of each other. Second, there is a bidirectional shock transmission between Bitcoin and USD/ZAR in the mean returns only, but not variance. Lastly, results confirm the existence of a bidirectional volatility spillover in both the mean and variance between the JSE stock market and the USD/ZAR market. The study outcome should enlighten investors who may want to consider Bitcoin as a diversifier in their investment and portfolio strategies.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81130360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The analysis of social media data to extract new insights has attracted much attention, especially in the field of Marketing. Few researchers, however, have studied both the concepts of Social Media Data Analytics (SMDA) and Marketing Strategies. Previous publications have only focused on a particular technique or a well-defined Marketing Strategy in a specific context. To address this gap, this paper aims to explore how Social Media Data Analytics can guide and affect Marketing Strategies, and provide an overview of the range of Social Media Data Analytics techniques related to Marketing Strategies. We conducted a systematic review of 120 papers published between 2015 and 2021 on SMDA in Marketing. The findings are presented in terms of the main social media platforms, publication date, journal quality, social media data types, analytical techniques, fields of application, firm size, and related Marketing Strategies. The SMDA techniques are classified into six categories: Sentiment Analysis, Artificial Intelligence, Data Mining, Statistics, Coding and Modelling, and Simulation. A set of detailed Marketing Strategies guided by SMDA are also presented, as well as an integrative framework mapping how SMDA creates value. The results highlight several SMDA techniques that still lack exploration and outline their relevance.
通过分析社交媒体数据来获取新的见解已经引起了人们的广泛关注，尤其是在市场营销领域。然而，很少有研究人员同时研究了社交媒体数据分析(SMDA)和营销策略的概念。以前的出版物只关注特定环境下的特定技术或定义良好的营销策略。为了解决这一差距，本文旨在探讨社交媒体数据分析如何指导和影响营销策略，并提供与营销策略相关的社交媒体数据分析技术范围的概述。我们对2015年至2021年间发表的120篇SMDA in Marketing论文进行了系统回顾。研究结果包括主要社交媒体平台、出版日期、期刊质量、社交媒体数据类型、分析技术、应用领域、公司规模和相关营销策略。SMDA技术分为六大类:情感分析、人工智能、数据挖掘、统计、编码和建模以及仿真。一套详细的营销策略由SMDA指导，以及一个综合框架映射SMDA如何创造价值。结果强调了几个仍然缺乏探索的SMDA技术，并概述了它们的相关性。
{"title":"Social Media Data Analytics for Marketing Strategies","authors":"Teissir Benslama, Rim Jallouli","doi":"10.18080/jtde.v10n2.523","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.523","url":null,"abstract":"The analysis of social media data to extract new insights has attracted much attention, especially in the field of Marketing. Few researchers, however, have studied both the concepts of Social Media Data Analytics (SMDA) and Marketing Strategies. Previous publications have only focused on a particular technique or a well-defined Marketing Strategy in a specific context. To address this gap, this paper aims to explore how Social Media Data Analytics can guide and affect Marketing Strategies, and provide an overview of the range of Social Media Data Analytics techniques related to Marketing Strategies. We conducted a systematic review of 120 papers published between 2015 and 2021 on SMDA in Marketing. The findings are presented in terms of the main social media platforms, publication date, journal quality, social media data types, analytical techniques, fields of application, firm size, and related Marketing Strategies. The SMDA techniques are classified into six categories: Sentiment Analysis, Artificial Intelligence, Data Mining, Statistics, Coding and Modelling, and Simulation. A set of detailed Marketing Strategies guided by SMDA are also presented, as well as an integrative framework mapping how SMDA creates value. The results highlight several SMDA techniques that still lack exploration and outline their relevance.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82360410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In an online environment, enriched by different types of cues that may distract a consumer, investigating and operationalizing, e-browsing behaviour becomes a must to understand consumer behaviour online. Nevertheless, existing research on the online environment has only used and adapted scales measuring offline browsing. In fact, the existing literature fails to offer a scale measuring browsing specifically in the online context. Consequently, this study fills this gap by developing a scale measuring e-browsing following the Churchill paradigm enriched with the recommendations of Rossiter. For this purpose, a number of methodological instruments are used: two focus groups (the first with 4 experts and the second with 18 consumers) and three surveys (140 students for the first survey, 350 and 200 Internet users, respectively, for the second and third survey). Results put forth a unidimensional scale with 7 items, which seems to exhibit evidence of reliability and validity. The predictive validity was checked by testing the impact of e-browsing on online immersion. The proposed scale measure may help academicians perform better and more reliable studies on consumer behaviour online. It may help managers better understand the traffic on their websites and segment visitors to tailor better conversion strategies.
{"title":"Measuring E-Browsing Behaviour and Testing its Impact on Online Immersion","authors":"Salma Ayari, Imène Ben Yahia, M. Debabi","doi":"10.18080/jtde.v10n2.546","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.546","url":null,"abstract":"In an online environment, enriched by different types of cues that may distract a consumer, investigating and operationalizing, e-browsing behaviour becomes a must to understand consumer behaviour online. Nevertheless, existing research on the online environment has only used and adapted scales measuring offline browsing. In fact, the existing literature fails to offer a scale measuring browsing specifically in the online context. Consequently, this study fills this gap by developing a scale measuring e-browsing following the Churchill paradigm enriched with the recommendations of Rossiter. For this purpose, a number of methodological instruments are used: two focus groups (the first with 4 experts and the second with 18 consumers) and three surveys (140 students for the first survey, 350 and 200 Internet users, respectively, for the second and third survey). Results put forth a unidimensional scale with 7 items, which seems to exhibit evidence of reliability and validity. The predictive validity was checked by testing the impact of e-browsing on online immersion. The proposed scale measure may help academicians perform better and more reliable studies on consumer behaviour online. It may help managers better understand the traffic on their websites and segment visitors to tailor better conversion strategies.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91117528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
New technologies are giving very interesting potential to the personalization of products and services, in particular of mobile services. The study of the literature shows that technology-based personalization is an important factor in the adoption of mobile services. However, previous researchers are not unanimous as to the nature of this role: some studies confirm the moderating or mediating effect of personalization on the relationship between the adoption factors stated in the Unified Technology Acceptance and Utilization Theory (UTAUT) and the intention to adopt technology-based services. Other researchers consider that personalization rather exerts a causal relationship on the adoption of technology-based services. This paper undertakes a literature review with the aim of clarifying the impact of new technologies, such as artificial intelligence, Big Data, Internet of Things and Block Chain, on the personalization of mobile banking services. Moreover, this study presents a synthesis of previous research examining the role of personalization in relation to the factors affecting adoption and the intention to adopt mobile banking. Finally, this research proposes a conceptual model that can serve as a basis for future empirical research in the context of mobile services. Results and discussion could guide future empirical research in this area.
{"title":"Technology-enabled Personalization for Mobile Banking Services","authors":"Moetez Khemiri, Rim Jallouli","doi":"10.18080/jtde.v10n2.545","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.545","url":null,"abstract":"New technologies are giving very interesting potential to the personalization of products and services, in particular of mobile services. The study of the literature shows that technology-based personalization is an important factor in the adoption of mobile services. However, previous researchers are not unanimous as to the nature of this role: some studies confirm the moderating or mediating effect of personalization on the relationship between the adoption factors stated in the Unified Technology Acceptance and Utilization Theory (UTAUT) and the intention to adopt technology-based services. Other researchers consider that personalization rather exerts a causal relationship on the adoption of technology-based services. This paper undertakes a literature review with the aim of clarifying the impact of new technologies, such as artificial intelligence, Big Data, Internet of Things and Block Chain, on the personalization of mobile banking services. Moreover, this study presents a synthesis of previous research examining the role of personalization in relation to the factors affecting adoption and the intention to adopt mobile banking. Finally, this research proposes a conceptual model that can serve as a basis for future empirical research in the context of mobile services. Results and discussion could guide future empirical research in this area.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85300571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to develop a machine-learning-based attendance management system using face recognition and Raspberry Pi. The proposed system is composed of two main subsystems. The first is a Raspberry Pi, to be installed in each class, and the second is a web application fed by data from the Raspberry Pi. To take attendance, an instructor commands a Raspberry Pi camera through a web-based subsystem. Then, the camera takes a picture of the whole class and detects faces using trained Haar Cascades. It sends back a file with the class picture and Cartesian coordinates of the detected faces. The web application parses the file, looking for the coordinates of faces. For each Region of Interest, it uses the Support Vector Machine algorithm to recognize faces based on their HOG (Histogram of Oriented Gradients) features. The recognizer uses a pre-built dataset of that particular class containing the students’ personal photos, names and ID numbers. Features of each face were extracted using HOG and trained to construct the model over a given class of students. Once every detected face is recognized, the application generates a report for the instructor showing the list of students’ names and attendance status.
本研究旨在利用人脸识别和树莓派开发一个基于机器学习的考勤管理系统。该系统由两个主要子系统组成。第一个是树莓派，安装在每个班级中，第二个是一个web应用程序，由树莓派提供数据。要出勤，教师通过基于web的子系统命令树莓派相机。然后，相机拍摄整个班级的照片，并使用训练有素的哈尔瀑布检测人脸。它返回一个文件，其中包含类图片和检测到的人脸的笛卡尔坐标。web应用程序解析文件，查找面坐标。对于每个感兴趣的区域，它使用支持向量机算法基于HOG (Histogram of Oriented Gradients)特征来识别人脸。识别器使用预先构建的特定班级的数据集，其中包含学生的个人照片、姓名和身份证号码。使用HOG提取每张脸的特征，并对其进行训练，以构建给定班级的学生模型。一旦识别出每个检测到的人脸，应用程序就会为教师生成一个报告，显示学生姓名和出勤状态的列表。
{"title":"Secure Attendance System using Raspberry Pi Face Recognition","authors":"Rhouma Bin Hamed, Tarek Fatnassi","doi":"10.18080/jtde.v10n2.530","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.530","url":null,"abstract":"This study aims to develop a machine-learning-based attendance management system using face recognition and Raspberry Pi. The proposed system is composed of two main subsystems. The first is a Raspberry Pi, to be installed in each class, and the second is a web application fed by data from the Raspberry Pi. To take attendance, an instructor commands a Raspberry Pi camera through a web-based subsystem. Then, the camera takes a picture of the whole class and detects faces using trained Haar Cascades. It sends back a file with the class picture and Cartesian coordinates of the detected faces. The web application parses the file, looking for the coordinates of faces. For each Region of Interest, it uses the Support Vector Machine algorithm to recognize faces based on their HOG (Histogram of Oriented Gradients) features. The recognizer uses a pre-built dataset of that particular class containing the students’ personal photos, names and ID numbers. Features of each face were extracted using HOG and trained to construct the model over a given class of students. Once every detected face is recognized, the application generates a report for the instructor showing the list of students’ names and attendance status.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83582202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Several years after introducing the mobile payment service to the Lebanese market, it is clear that the new payment method has failed to take off, which brings up questions about the reasons behind these unmet expectations. The current paper uses the Technology-Organization-Environment framework to explore the factors with respect to its three pillars that could have prevented the diffusion of mobile payment into the market. Using a qualitative approach of multiple case studies, the findings suggest that the reasons for the low diffusion of mobile banking lies as much in the incompatible nor open technology as in the highly competitive organizational structure of the banking industry and, finally, the merchants’ and consumers’ unwillingness to adopt it.
{"title":"Fallen into the Chasm: Exploring Mobile Payment Failed Initiative in Lebanon","authors":"Loubna Alsaghir","doi":"10.18080/jtde.v10n2.586","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.586","url":null,"abstract":"Several years after introducing the mobile payment service to the Lebanese market, it is clear that the new payment method has failed to take off, which brings up questions about the reasons behind these unmet expectations. The current paper uses the Technology-Organization-Environment framework to explore the factors with respect to its three pillars that could have prevented the diffusion of mobile payment into the market. Using a qualitative approach of multiple case studies, the findings suggest that the reasons for the low diffusion of mobile banking lies as much in the incompatible nor open technology as in the highly competitive organizational structure of the banking industry and, finally, the merchants’ and consumers’ unwillingness to adopt it.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75742623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Call Detail Records (CDRs) provide metadata about phone calls and text message usage. Many studies have shown these CDR data to provide gainful information on people's mobility patterns and relationships with fine-grained aspects, both temporal and spatial elements. This information allows tracking population levels in each country region, individual movements, seasonal locations, population changes, and migration. This paper introduces a method for analyzing and exploiting CDR data to recommend billboard ads. We usher by clustering the locations based on the recorded activities' pattern regarding users' mobility. The key idea is to rate sites by performing a thorough cluster analysis over the achieved data, having no prior ground-truth information, to assess and optimize the ads' placements and timing for more efficiency at the billboards.
{"title":"Effective Optimization of Billboard Ads Based on CDR Data Leverage","authors":"Imed Eddine Semassel, Sadok Ben Yahia","doi":"10.18080/jtde.v10n2.527","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.527","url":null,"abstract":"Call Detail Records (CDRs) provide metadata about phone calls and text message usage. Many studies have shown these CDR data to provide gainful information on people's mobility patterns and relationships with fine-grained aspects, both temporal and spatial elements. This information allows tracking population levels in each country region, individual movements, seasonal locations, population changes, and migration. This paper introduces a method for analyzing and exploiting CDR data to recommend billboard ads. We usher by clustering the locations based on the recorded activities' pattern regarding users' mobility. The key idea is to rate sites by performing a thorough cluster analysis over the achieved data, having no prior ground-truth information, to assess and optimize the ads' placements and timing for more efficiency at the billboards.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81369971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The period of high expectations of digital transformation benefits is followed by a period of discussion on strategies and methods for managing digital changes. Not only the rapid development of technology, but also the turbulence of the external environment contribute to the view that traditional approaches to strategic management of the company are irrelevant. Understanding the need to modify classic strategic management methods actualises the task of developing new methodological fundamentals for strategic management. The initial stage of solving this problem is the analysis of the current state of research in this area. This study analyses the Russian research community viewpoints on the prospects of companies' strategic management regarding the digital economy status quo and trends in Russia. This paper answers the following research questions. What impact does the digital economy environment of Russian companies have on their management systems and what are the prerequisites for changing approaches and mechanisms of strategic management? How do the basic strategic management approaches differ for companies with different experiences, capabilities, and expectations of digital transformation? The key managerial prospects of the study concern the benefits of various strategic management approaches for companies with different backgrounds, capabilities, and expectations of digital transformation.
{"title":"How to Manage Companies in the Digital Age","authors":"O. Stoianova, T. Lezina, V. Ivanova","doi":"10.18080/jtde.v10n2.498","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.498","url":null,"abstract":"The period of high expectations of digital transformation benefits is followed by a period of discussion on strategies and methods for managing digital changes. Not only the rapid development of technology, but also the turbulence of the external environment contribute to the view that traditional approaches to strategic management of the company are irrelevant. Understanding the need to modify classic strategic management methods actualises the task of developing new methodological fundamentals for strategic management. The initial stage of solving this problem is the analysis of the current state of research in this area. This study analyses the Russian research community viewpoints on the prospects of companies' strategic management regarding the digital economy status quo and trends in Russia. \u0000This paper answers the following research questions. What impact does the digital economy environment of Russian companies have on their management systems and what are the prerequisites for changing approaches and mechanisms of strategic management? How do the basic strategic management approaches differ for companies with different experiences, capabilities, and expectations of digital transformation? \u0000The key managerial prospects of the study concern the benefits of various strategic management approaches for companies with different backgrounds, capabilities, and expectations of digital transformation.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72460213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marta Mas Machuca, Soumaya Cheikhrouhou, Deny Bélisle, F. Marimon
Measuring and managing customer experience is increasingly becoming a priority in the experience-laden hospitality context. With the growing desire of consumers for living more authentic experiences, the collaborative consumption (CC) model has gained significant popularity in this industry. However, to date, the underlying structure of customer experience in a hospitality CC context has not been uncovered and a generalizable quantitative measure is yet to be developed. To fill this gap, this research aims to develop and validate a scale for measuring customer experience in a hospitality CC context. Based on a sample collected from Airbnb customers, results yield a 17-item five-dimensional scale (Platform brand experience, Accommodation sensory experience, Social experience with the host, Platform responsive capacity, and Quality of interaction with the host). This work demonstrates that providing an excellent customer experience in a CC context stems from a customer-centred approach from all the involved parties. Theoretical and managerial implications are also presented, along with relevant research avenues.
{"title":"Measuring Overall Customer Experience in a Hospitality Collaborative Consumption Context","authors":"Marta Mas Machuca, Soumaya Cheikhrouhou, Deny Bélisle, F. Marimon","doi":"10.18080/jtde.v10n2.504","DOIUrl":"https://doi.org/10.18080/jtde.v10n2.504","url":null,"abstract":"Measuring and managing customer experience is increasingly becoming a priority in the experience-laden hospitality context. With the growing desire of consumers for living more authentic experiences, the collaborative consumption (CC) model has gained significant popularity in this industry. However, to date, the underlying structure of customer experience in a hospitality CC context has not been uncovered and a generalizable quantitative measure is yet to be developed. To fill this gap, this research aims to develop and validate a scale for measuring customer experience in a hospitality CC context. Based on a sample collected from Airbnb customers, results yield a 17-item five-dimensional scale (Platform brand experience, Accommodation sensory experience, Social experience with the host, Platform responsive capacity, and Quality of interaction with the host). This work demonstrates that providing an excellent customer experience in a CC context stems from a customer-centred approach from all the involved parties. Theoretical and managerial implications are also presented, along with relevant research avenues.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76033770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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