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1 – 10 of over 13000Bernardinus Harnadi, Albertus Dwiyoga Widiantoro, FX Hendra Prasetya, Ridwan Sanjaya and Ranto Partomuan Sihombing
Research on technology acceptance of online entertainment with age, gender and cultural factors as moderator, is rarely conducted. Previous research predominantly focused on age…
Abstract
Purpose
Research on technology acceptance of online entertainment with age, gender and cultural factors as moderator, is rarely conducted. Previous research predominantly focused on age or gender as moderator, neglecting the influence of cultural factors. Therefore, this study aims to investigate acceptance of online entertainment technology, incorporating age, gender and cultural factors as moderator.
Design/methodology/approach
Data were collected through a survey comprising 1,121 individuals aged 14–24 years from three cities in Indonesia. The proposed theoretical model examined the causal effect of acceptance and moderating effects due to individual gender, age, power distance, individualism, feminism and uncertainty avoidance (AU). Subsequently, structural equation modeling was used to evaluate the theoretical model, and the results confirmed several findings from previous research.
Findings
The findings confirmed the positive direct impact of habit and price value (PV) on behavioral intention and hedonic motivation, as well as social influence on habit. The recent findings derived from the moderating effect analysis showed that age, individualism and feminism played a moderating role in the effects on individual intention due to habit. Additionally, gender and AU moderated the effects on individual habits due to hedonic motivation.
Originality/value
This research contributes to the limited knowledge of technology acceptance of online entertainment, and also integrates the causal effects of individual intention due to habit, PV, hedonic motivation and social influence, considering the moderating role of culture, age and gender. Consequently, the investigation provides valuable insights into the literature by presenting evidence of age, gender and cultural differences in acceptance. Furthermore, it offers practical guidance to online entertainment application developers on designing applications to satisfy consumers of different ages, genders and cultures.
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Raúl Katz, Juan Jung and Matan Goldman
This paper aims to study the economic effects of Cloud Computing for a sample of Israeli firms. The authors propose a framework that considers how this technology affects firm…
Abstract
Purpose
This paper aims to study the economic effects of Cloud Computing for a sample of Israeli firms. The authors propose a framework that considers how this technology affects firm performance also introducing the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.
Design/methodology/approach
The model is estimated through structural equation modeling. The data set consists of the microdata of the survey of information and communication technologies uses and cyber protection in business conducted in Israel by the Central Bureau of Statistics.
Findings
The results point to Cloud Computing as a crucial technology to increase firm performance, presenting significant direct and indirect effects as the use of complementary technologies maximizes its impact. Firms that enjoy most direct economic gains from Cloud Computing appear to be the smaller ones, although larger enterprises seem more capable to assimilate complementary technologies, such as Big Data and Machine Learning. The total effects of cloud on firm performance are quite similar among manufacturing and service firms, although the composition of the different effects involved is different.
Originality/value
This paper is one of the very few analyses estimating the impact of Cloud Computing on firm performance based on country microdata and, to the best of the authors’ knowledge, the first one that contemplates the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.
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Nasser Shahrasbi, Mina Rohani, Mostafa Purmehdi and Ali Rajabzadeh Ghatari
This study aims to explore and empirically examine an integrative model of the customer revenge process by linking two well-established theories of self-determination theory (SDT…
Abstract
Purpose
This study aims to explore and empirically examine an integrative model of the customer revenge process by linking two well-established theories of self-determination theory (SDT) and appraisal theory.
Design/methodology/approach
A survey of 901 respondents, followed by a post-hoc survey of 712 individuals, was conducted to examine the autonomous versus controlled orientations for revenge motivation.
Findings
The results show that customers’ orientation of motivation (OM) can regulate their revenge behavior (direct versus indirect) in case of service failures. Specifically, the interaction of OM components (i.e. autonomy, relatedness and competence) can play a significant role in the relationship between revenge predictors and revenge behavior. Implications for research and practice are discussed.
Originality/value
This paper offers a novel conceptual framework to explain the moderating effects of OM on the relationship between revenge predictors and revenge behavior. This study extends the application of SDT to the context of customer anger and revenge.
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Himanshu Joshi and Deepak Chawla
The study investigates the influence of perceived security (PS) on behavioral intention (BI) via the trust attitude process and explores the moderating effects of gender. PS in…
Abstract
Purpose
The study investigates the influence of perceived security (PS) on behavioral intention (BI) via the trust attitude process and explores the moderating effects of gender. PS in mobile wallets enhances user trust (TR), attitude (ATT) and intention (INT). Using a multiple and serial mediation model, both TR and ATT were found to mediate the relationship between PS and BI.
Design/methodology/approach
Drawing on the stimulus-organism-response (S-O-R) theory, the proposed conceptual model comprises PS, TR, ATT and BI. An online survey was conducted with a cross-sectional sample of 744 mobile wallet users in India. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the hypothesized relationships and test the mediation effects.
Findings
Results show that the stimulus, PS, has a positive and significant influence on TR and ATT, which eventually has a positive influence on BI. The research model explains 64.4 percent of the variance in BI. Further, both TR and ATT independently and parallelly mediate the relationship PS and BI. Lastly, gender is found to moderate the relationship between TR and BI and ATT and BI.
Practical implications
The research showed the importance of PS, TR and ATT towards mobile wallet adoption INTs. Further, the findings support the idea that developing TR and ATT is essential for shaping INTs. This suggests that mobile wallet service providers should invest in methods that not just enhance user TR but also reinforce a positive ATT towards the platform. To demonstrate TR, mobile wallet providers must ensure the confidentiality and privacy of user data, keep customer interests in mind and fulfill commitments. Lastly, for strengthening customer TR, excellent customer support is extremely important.
Originality/value
While prior researchers have majorly used technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) models to explain adoption INTs, this study examines the relationship between PS, TR, ATT and BI through the lens of the SOR framework.
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Yan Han, Yanqi Sun, Kevin Huang and Cheng Xu
This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the…
Abstract
Purpose
This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the role of absorptive capacity as a moderating factor during this period.
Design/methodology/approach
Employing provincial panel data from China, this research measures agricultural TFP using the Stochastic Frontier Approach (SFA)-Malmquist method. The impact of FDI on agricultural productivity is further analyzed using a nondynamic panel threshold model.
Findings
The results highlight technological progress as the main driver of agricultural TFP growth in China. Agricultural FDI (AFDI) seems to impede TFP development, whereas nonagricultural FDI (NAFDI) shows a distinct positive spillover effect. The study reveals a threshold in absorptive capacity that affects both the direct and spillover impacts of FDI. Provinces with higher absorptive capacity are less negatively impacted by AFDI and more likely to benefit from FDI spillovers (FDISs).
Originality/value
This study provides new insights into the intricate relationship between FDI, absorptive capacity and agricultural productivity. It underscores the importance of optimizing technological progress and research and development (R&D) to enhance agricultural productivity in China.
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Abul Kalam, Chai Lee Goi and Ying Ying Tiong
The purpose of this study is to investigate the effects of celebrity endorsers on consumer advocacy, customization and entertainment intentions based on the notion of the…
Abstract
Purpose
The purpose of this study is to investigate the effects of celebrity endorsers on consumer advocacy, customization and entertainment intentions based on the notion of the stimulus–organism–response (SOR) framework. In addition, this study aims to examine the mediating and moderating role of customization and entertainment intentions on the proposed relationships. The authors also intend to highlight the comparative effects between male and female young social media consumers on those proposed associations.
Design/methodology/approach
In the pursuit of comprehensive and rigorous data collection, this study adopted a quantitative methodology using a meticulously crafted questionnaire. The questionnaire survey was conducted in major cities of Malaysia using the convenience and snowball sampling techniques. A total of 576 responses were collected, even though 549 retorts were used for data analysis. In this investigation, the authors strategically used covariance-based structural equation modeling through the use of AMOS v. 24 as the primary data analysis tool. Augmenting the analytical depth, the authors also conducted a supplementary bootstrap analysis. The additional layers of examination were crucial for appraising the mediating and moderating effects inherent within the model, in which the PROCESS MACRO v.4.20 was used.
Findings
The results of this study revealed the significant direct positive effects of celebrity endorsers on consumer customization, entertainment and advocacy intentions. Consumer customization and entertainment intentions also found significant direct affirmative effects on consumer advocacy intention, along with the significant direct positive effects of consumer entertainment intention on consumer customization intention. The results further revealed that consumer customization and entertainment intentions cannot mediate the relationship between celebrity endorsers and advocacy intention. The entertainment intention also declined the mediating effects between celebrity endorsers and consumer customization intention. On the contrary, consumer customization intention significantly and positively, and entertainment intention also significantly but negatively, moderate the association between celebrity endorsers and consumer advocacy intention. This study also illustrates that the effects of those examined relationships differ between male and female young social media consumers.
Originality/value
This study investigates the impact of celebrity endorsers on consumer behavior, focusing on their customization, entertainment and advocacy intentions. It extends current SOR framework, enhances source credibility theory, fills gaps in the literature on social media brand engagement and underscores the significance of customization and entertainment intentions. The findings provide insights for managers aiming to harness consumer brand advocacy through celebrity endorsers effectively.
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Abul Kalam, Chai Lee Goi and Ying Ying Tiong
The purpose of this study is to explore the comparative effects of mainstream celebrities and social media influencers on consumer advocacy and relationship intentions. The study…
Abstract
Purpose
The purpose of this study is to explore the comparative effects of mainstream celebrities and social media influencers on consumer advocacy and relationship intentions. The study also examines the direct and serial mediation effects on those relationships.
Design/methodology/approach
The survey questionnaire was used to collect data from 718 respondents throughout Malaysia, with convenience and snowball sampling techniques employed. The data were analyzed based on the structural equation modeling (SEM) approach through the AMOS version 24. The PROCESS MACRO v-4.20 was applied to evaluate mediating effects in the model.
Findings
The results reveal that celebrity endorsers' involvement in social media significantly influences the uses of social media, which also impacts the attitudes and, subsequently, consumer relationship and advocacy intentions. The study found that mainstream celebrities and social media influencers effectively promote brands, and it discovered insignificant differences in their effects on the analyzed relationships.
Research limitations/implications
This study has been conducted on consumers in Malaysia; it may have different effects on consumers in other countries.
Practical implications
Brand managers and policymakers may benefit from following the study's guidelines for making consumer relationship and advocacy intentions by celebrity endorsers and uses of social media.
Social implications
The brand community can benefit from tightening their social bondage by sharing and managing crucial information from celebrities and using social media.
Originality/value
The study explores the effects of mainstream celebrities on consumer relationship and advocacy intentions using social media networks and managing consumer attitudes.
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José I. Rojas-Méndez and Gary Davies
The purpose of this study is to compare two different types of measures of social desirability bias (SDB), a short form of the Marlowe–Crowne measure, a popular direct measure…
Abstract
Purpose
The purpose of this study is to compare two different types of measures of social desirability bias (SDB), a short form of the Marlowe–Crowne measure, a popular direct measure, and an example of a projective technique where half of the respondents record the views of their “best friends”.
Design/methodology/approach
The data were collected using an online survey of members of a consumer panel. The context chosen to test the SDB measures was that of attitudes toward counterfeit products and xenocentrism in Colombia. Counterfeit proneness, attitude toward counterfeit products and consumer xenocentrism were selected as variables likely to be affected by SDB. Vertical and horizontal collectivism were included as variables likely to influence the first group of variables while not being themselves subject to SDB.
Findings
The projective technique consistently identified higher levels of SDB effects, as hypothesized. Marked differences emerged in the apparent strength of the relationships between the operational constructs depending upon which measure of SDB was used. At times, whether any such relationship might exist depended on the SDB measure used. Contrary to some prior work, no systematic gender effects were identified using either approach.
Originality/value
The first study to provide evidence of the comparative effects of different types of measures of SDB in research into ethical issues. One of the few to demonstrate how apparent relationships between variables can be created by SDB.
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Mousumi Singha Mahapatra, Jing Jian Xiao, Ram Kumar Mishra and Kexin Meng
This study aims to examine the association between parental financial socialization and life satisfaction and the mediating roles of desirable financial behavior in the…
Abstract
Purpose
This study aims to examine the association between parental financial socialization and life satisfaction and the mediating roles of desirable financial behavior in the association between parental financial socialization and life satisfaction of college students in India. Furthermore, this research also explores the moderating effects of parents’ socioeconomic characteristics (education, income and professions) in the association between parental financial socialization and desirable financial behavior.
Design/methodology/approach
A sample of 1,161 college students was collected in India. Parental financial socialization is measured by direct parental teaching in this study. The first stage moderated mediation model is performed to examine the direct and indirect effects through financial behavior of parental financial on life satisfaction as well as the moderating role of parents’ socioeconomic characteristics.
Findings
The mediation analysis shows that parental direct teaching is positively associated with young adults’ financial behavior, which in turn contributes to their life satisfaction. Furthermore, this study also finds negative moderation effects of parental education on the association between parental direct teaching and children's financial behavior.
Originality/value
This study extends the knowledge of family financial socialization in the context of India. Moreover, it examines the mediation roles of desirable financial behavior in the association between parental direct teaching and children’s life satisfaction. Furthermore, this paper explores the potential influence of parents’ education, income and professions on children’s financial behavior and life satisfaction.
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Ali Rezazadeh, Vahid Nikpey Pesyan and Azhdar Karami
Stock markets are highly sensitive to foreign and domestic events. Stock exchange markets react promptly to news and are known as an indicator of good and bad trading conditions…
Abstract
Purpose
Stock markets are highly sensitive to foreign and domestic events. Stock exchange markets react promptly to news and are known as an indicator of good and bad trading conditions. Terrorist attacks leave adverse effects on the economy and cause stock price volatility and, consequently, stock return volatility. Therefore, this paper aims to analyze the spatial effects of terrorism on stock market returns in the Middle East from 2008 to 2019.
Design/methodology/approach
This paper uses analytical research design and estimates spatial model. Before estimating the spatial model, the spillover effects were confirmed for the spatial autoregressive model using Moran’s diagnostic test for spatial dependence, Geary’s C test and Akaike statistic.
Findings
The results of this study on spatial panel data and based on spatial autoregressive estimator indicated that terrorism and associated neighborhood effects had a negative impact on stock returns in Middle East countries. Also, the corruption index and oil price negatively affected stock market return in these countries, while the democracy index had a positive effect on stock market returns. According to the results, to achieve a high and stable stock market return, it is recommended that high-level consultation is pursued with leaders of involved countries to reduce the devastating effects of terrorist activities, increase political and economic stability, attract stockholders to stock markets and spend corresponding incomes developing the infrastructures in this sector in countries of this region.
Originality/value
Most of the studies have investigated the impact of terrorism on the stock market returns at the national or provincial level. However, the effect of terrorism on the stock market index in the tense region of the Middle East, which is the center of terrorist attacks in the world, has not been dealt with by considering the spatial econometric effects. Thus, to the best of the authors’ knowledge, this research is a first attempt to study the impact of terrorism on the stock market returns in Middle East countries using the spatial econometric approach.
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