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Considering the proliferation of free trade agreements (FTAs) worldwide, this study develops and empirically tests a conceptual model to explain the impact of CEO attitudes on the intention of exporting firms to utilize FTA preferential tariffs. Based on a survey of 221 exporting small and medium-sized enterprises in South Korea, this study employed partial least squares structural equation modelling to test the hypotheses. Results show that perceived usefulness and organizational learning partially mediate the relationship between CEO attitudes and intention to use FTA schemes. This study deepens our understanding on the firm’s internal process for utilizing FTA preferential tariffs.

This study aims to systematically review the literature on digital consumers’ decision-making in the banking, financial services and insurance (BFSI) sector and proposes an integrative framework.

By combining databases such as Web of Science and Elton B. Stephens Company (EBSCO), we identified, analyzed and synthesized 53 peer-reviewed empirical articles that explore the connection between digital solutions in the BFSI sector and various phases and constructs of the consumer decision-making process. We examined the dependent variables (DVs) used to operationalize consumer decision-making, performed a thematic analysis of the papers and proposed an integrative framework.

The reviewed articles have garnered more attention from marketing researchers than from BFSI or artificial intelligence scholars, often employing traditional behavioral and experimental methodologies that have several limitations. We identified 38 DVs used to operationalize consumer decision-making, with the most frequently recurring constructs being “Intention to use,” “Utilization,” “Satisfaction,” “Perceived usefulness” and “Trust.” We propose an integrative framework that groups these DVs into three main clusters: subjects’ perceptions, user experience and adoption/usage choice. This systematic literature review highlights the increasing importance of emotion in recent decades and underscores the difficulty of establishing a framework where relationships between variables are direct and unidirectional, as traditional economic theories assume.

To the best of the authors’ knowledge, this is the first study to provide a comprehensive and systematic understanding of the DVs and the research methods used to study the impact of recent digital solutions on consumer decision-making in the BFSI sector. Further, a framework is proposed that can offer a new perspective for consumer research.

Smart tourism has become an inevitable trend in future tourism development. However, despite significant investment in its technological foundation, little is known about whether and when tourists are willing to be involved in smart tourism. This study explores tourists' willingness to contribute to smart tourism development by empirically examining their intention to share personal information and use smart technology.

Based on construal level theory (CLT), a 2 (far/near spatial distance) × 2 (gain/loss persuasive information frame) × 2 (altruistic/egoistic value orientation) laboratory experiment with different contextual features was designed to examine tourists' willingness to contribute to smart tourism.

Tourists are most willing to share personal information and use smart technologies when spatial distance aligns with information framing, spatial distance aligns with value orientation and information framing aligns with value orientation.

This study provides essential insights for destination management organizations (DMOs) about tourists' perceptions of smart tourism, enabling DMOs to develop more precise marketing strategies to encourage tourists to contribute to smart tourism development and enrich tourists' travel experiences.

This study enriches theoretical knowledge of DMOs' boundaries in encouraging tourists to contribute to smart tourism and provides critical insights into future smart tourism development for researchers and practitioners.

The purpose of this paper is to understand from the knowledge management perspective how the mechanism of different voluntary compliance behaviors works and how information technology is used for compliance management in corporate settings where privacy and security issues are getting critical due to the advancement of big data and artificial intelligence.

In this study, the authors propose a structural model based on the theory of planned behavior and the IT relatedness theory that behavioral belief about compliance and social pressure affect compliance knowledge and compliance intention, and compliance knowledge partially mediates the impact of both independent variables on compliance intention. The authors surveyed with a structured questionnaire 975 employees of a major Korean energy company, S-OIL, which deploys a compliance support system. The respondents are classified into two groups: an Active IT Utilization Group and a Passive IT Utilization Group.

The results of our empirical examination show that compliance intention belief and social pressure influence compliance intention, and further, that compliance behavior is mediated by compliance knowledge – in both the active IT utilization group and the passive IT utilization group. However, the significance of each path coefficient, R square and the mediation effect in Model 1 (passive IT utilization group) are obviously a poor contrast to Model 2 (active IT utilization group). Also, the path from behavioral belief to compliance knowledge and social pressure to compliance knowledge show a significant moderating effect of IT utilization level.

This paper aims to promote more effective voluntary compliance behavior by increasing the understanding of the impact differences of the preceding factors, and the ways in which those are related to the knowledge management practice in terms of both knowledge itself and its support systems, i.e. compliance support system.

The purpose of this study is to assess the possibility of introducing a restaurant-menu curation (RMC) chatbot service to help consumers quickly and effectively decide on their restaurant or menu choices. To this end, it measures the characteristics of consumer chatbot experiences and analyzes their impact on future acceptance intentions through their attitudes toward the RMC chatbot service.

This study consists of three parts: developing a RMC chatbot prototype, testing the chatbot prototype and a customer survey based on experience. A convenience sample method was used to collect data from 368 adults who tried the RMC chatbot service before answering a self-administered questionnaire. Partial least squares structural equation modeling (PLS-SEM) was used to test the proposed structural model.

The results showed that all experience characteristics, except usable facets, had a significant positive impact on attitudes toward the chatbot. Three experience characteristics, “usable,” “usefulness” and “valuable,” revealed a significant positive effect on utilization intention. Attitudes toward chatbot services also significantly affected utilization intention.

The results of this study can offer practical and academic implications for establishing curation services in the restaurant industry that can increase customer acceptance and utilization intentions. Follow-up studies are required to explore and verify the various personal and psychological factors related to the intention to accept RMC chatbot services.

This study is meaningful because it makes it possible to evaluate the introduction of curation chatbot services in the restaurant sector, by developing and testing the dining-out curation service protocol to help customers’ smart choices in the information technology environment.

本研究的目的是评估引入餐厅菜单管理 (RMC) 聊天机器人服务以帮助消费者快速有效地决定他们的餐厅或菜单选择的可能性。为此, 本研究衡量了消费者聊天机器人体验的特征, 并通过他们对餐厅菜单管理聊天机器人服务的态度来分析它们对未来接受意图的影响。

研究由三部分组成; 开发餐厅菜单管理聊天机器人原型, 测试聊天机器人原型, 并根据经验进行客户调查。使用便利样本方法收集 368 名成年人的数据, 这些成年人在回答问卷之前尝试了 RMC 聊天机器人服务。 PLS-SEM 被用于测试提出的结构模型。

结果表明, 除可用方面外, 所有体验特征都对聊天机器人的态度产生了显着的积极影响。 “可用性”、“有用”和“有价值”三个体验特征对使用意愿有显着的正向影响。对聊天机器人服务的态度也显着影响了使用意愿。

本研究的结果可以为在餐饮业建立策展服务提供实践和学术意义, 从而提高客户的接受度和使用意图。需要进行后续研究, 以探索和验证与接受 RMC 聊天机器人服务的意图相关的各种个人和心理因素。

这项研究的重大意义在于它可以通过开发和测试外出就餐策展服务协议来评估在餐厅行业引入策展聊天机器人服务, 以帮助客户在信息技术 (IT) 方面做出明智的选择环境。

This study aims to empirically explore several factors that encourage muzakki (zakat payers) to pay their zakat through institutions by elaborating on their extrinsic and intrinsic motivations as the composite factors regarding the attitude and intention improvement of muzakki. This study specifically studies zakat payment via digital means and categorizes the muzakki groups into two (urban and suburban) to be considered in the results.

Overall, this study gathers the data from 298 muzakki using a partial least squares technique the multigroup analysis to compare the analysis.

This study found that different sociodemographic aspects will result in varied performances of motivation in using technology between the two groups. Furthermore, positive preference aspects, such as muzakki’s attitude, can be a catalyst in improving their motivation to pay zakat through institutions.

The findings of this study can be used as a foundation to improve the technology-based services that will be more accessible and reachable. Provision of technical follow-ups regarding the utilization of technology, including community-based digital platform socializations, availability of online customer service that will respond to muzakki’s needs and synergy between stakeholders, are the primary obligations that a zakat institution must fulfill.

As far as the researchers are concerned, the studies focusing on the motivational factors and attitude of muzakki as an intervention in paying zakat via institutions are limited in numbers, especially studies on digital payment. In this study, however, classifying the groups into two will help gain a deeper understanding of this topic.

Technological advances regarding artificial intelligence (AI) are affecting the transport sector. Although fully autonomous delivery, or self-driving trucks, are not operating currently, various AI applications have become fixed components of cargo vehicles. Since many research approaches primarily concentrate on the technical aspects of assistance systems (ASs), the economic question of how to improve efficiency is seldom addressed. Therefore, the purpose of this paper is to apply an efficiency analysis to measure the performance of truck drivers supplying retail stores.

For this comparative study, 90 professional truck drivers in three groups are compared with (1) trucks without AS, (2) trucks with AS that cannot be turned off and (3) trucks with AS that can be turned off. First, we build a model investigating the impact of performance expectation, effort expectation, social influence and facilitating conditions on the behavioural intention to use AS. Second, we explore the impact of truck drivers' behavioural intention on actual technology use, misuse and disuse; operationalize these constructs; and merge them with our behavioural constructs to create one econometric model.

The human–AI system was found to be the most efficient. Additionally, behavioural intention to use ASs did not lead to actual usage in the AI-alone observation group, but did in the human–AI group. Several in-depth analyses showed that the AI-alone group used AS at a higher level than the human–AI group, but manipulations through, for example, kickdowns or manual break operations led to conscious overriding of the cruise control system and, consequently, to higher diesel consumption, higher variable costs and lower efficiency of transport logistical operations.

Efficiency analysis with data envelopment analysis is, by design, limited by the applied input and output factors.

This study represents one of the first quantitative efficiency analyses of the impact of digitalization on transport performance (i.e. truck driver efficiency). Furthermore, we build an econometric model combining behavioural aspects with actual technology usage in a real application scenario.

Brand experience is a key factor that helps elucidate why consumers choose a given brand among others. The purpose this paper is to investigate how previous experience with store brands affects store brand purchase intention in two emerging markets and whether the cultural context moderates the relationships between store brand positive or negative cues and store brand purchase intention.

A store-intercept survey undertaken in the Latin American context generated 769 usable responses from consumers of two metropolitan cities (Brasilia and Bogota), respectively, in Brazil and Colombia. The questionnaires were collected in four well-established retail chains by professional investigators. Structural equation modelling was used to test a series of proposed hypotheses.

Overall, this paper reveals that consumers in Latin America do care about brand experience when shopping. More specifically, the results indicate that previous positive experience with store brands has a positive effect on consumer purchase intention in both countries investigated. In Brazil, store brand price perceptions mediate rather strongly the relationship between previous experience with store brands and purchase intention. In contrast, this effect is weak in Colombia. Store brand perceived risk has significant mediation effects in Brazil, but no mediation effects in Colombia. The authors also underline heterogeneous moderation effects of the cultural context, suggesting that common perceptions of Latin America as a culturally homogeneous region are stereotypical.

Respondents were consumers of only two Latin American emerging countries (Brazil and Colombia) and shoppers of two retail chains in each country. Caution should therefore be exercised when generalising the results to other emerging markets.

The paper offers recommendations on how to standardise/adapt brand experience management in different Latin American markets. Overall, retailers should go beyond the transaction itself and establish true differentiation using different store brand ranges. However, due to differences in cultural contexts, marketing communication should adopt different approaches to each country: emphasise the price advantages of store brands in Brazil, but focus on other factors such as quality in Colombia. Because they are culturally bound, risk perceptions towards store brands should also be managed carefully. It would be possible to target premium consumer segments with standard store brands in Colombia while a more sophisticated approach is necessary in Brazil (e.g. co-branding or launching more premium store brands).

By employing three theoretical frameworks (learning theory, cue utilisation theory and culture theory), this research investigates the effect of previous experience with store brands on purchase intention in two emerging countries that are geographically close but culturally different. It highlights direct and indirect processes of brand experience and underlines significant structural path differences between the two Latin American countries investigated in terms of consumption behaviour towards store brands.

This study aims to show that employees' excessive work-related use of enterprise social networks (ESN) can be accompanied by some work-related strains, hindering them from continuing utilization of ESN at work. To this end, the impact of employees' excessive work-related utilization of ESN on their discontinuous usage intentions by mediating roles of employees' impression management concerns, privacy concerns and ESN fatigue will be evaluated.

Stimulus-organisms-response (S-O-R) framework has been drawn to support the design of this research. Using an entirely random data collection, 173 ESN users from 10 Iranian organizations were surveyed. The model was assessed using partial least squares structural equations modeling (PLS-SEM).

The results of the study confirm that employees' excessive work-related use of ESN positively affects impression management and privacy concerns, resulting in ESN fatigue. Furthermore, ESN fatigue plays a predicting role in ESN discontinuous usage intention.

According to the obtained results, if work-related use of ESN exceeds a normal threshold (i.e. excessive usage), employees will stop using ESN in their work due to the work-related strains delivered to them, revealing the dark side of ESN usage in organizations.

The concept of eGovernment has received much focus and emphasis across the public administrative sector, with interest centred on its public performance in terms of effectiveness and efficiency. Accordingly, this paper aims to consider those factors affecting the continuous adoption of eGovernment websites by citizens in the context of Jordan, through the design and development of a conceptual model, five factors included, notably digital literacy, e-service marketing efficiency, e-service quality, compulsory e-service utilisation and public staff assistance in regards the transformation of e-service.

To conduct this paper, a quantitative approach was used, after operationalising variables into indicators; data were gathered through the application and completion of a questionnaire survey, by public-sector subjects making up a sample of 237 individuals purposively sampled, wit structural equation modelling was applied to analyse data.

The results garnered emphasise digital literacy and e-service quality as important factors amongst citizens in Jordan in regards their intention to use, on a continuous basis, eGovernment websites, providing an explanation across 42 per cent of the variance in this regard. On the other hand, the other three factors of e-service marketing efficiency, compulsory e-service use and public staff assistance in regards the transformation of e-service were not identified as significant in terms of their influence on the intention to adopt the ongoing use of eGovernment websites among citizens in the Jordanian context indicating some issues that challenge the eGovernment success.

This work’s findings are survey-based, subsequent studies could make use of qualitative methods in mind of achieving more detailed and comprehensive understanding of the links between the factors outlined in this study, further, there is the suggestion that other longitudinal and experimental works be completed to establish the links outlined in this study.

For eGovernment websites continued usage to be efficacious, several facilitating and supporting conditions are vital, including technical and managerial sustenance, as well as supporting policies and regulations that put eGovernment websites into the compulsory utilisation, which requires all the other affecting factors to be in line with facilitating such compulsory orientation.

Many studies have been done on exploring the factors that affect the initial adoption of eGovernment websites; however –and up to the author knowledge – this is the first study that explore the second stage of the adoption process, namely, continued use in the context of a developing country such as Jordan. This work will therefore provide a contribution to the eGovernment literature in specific relation to continued use. This will be done through taking into account all five of these factors.