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This paper aims to propose a conceptual framework to investigate the influences of innovative services on customer satisfaction and behavioural intentions. As service innovation has been focusing on the influences of product and technology innovation, this paper provides another insight into service innovation.

The proposed conceptual framework is based on findings from reviewing key theories and concepts, together with relevant literature in the service operation management, service innovation and hospitality management.

The proposed conceptual framework can be used to test empirically and explicate customer satisfaction and behavioural intentions towards service innovation of the hospitability operations. There are seven determinants can influence customer satisfaction: innovative mechanic clues, innovative humanic clues and innovative functional clues to influence customer transaction-specific satisfaction; complexity, meaningfulness, novelty and affordability to influence customer overall satisfaction. Customer expectation is formed by social factors, information, knowledge and their need to influence their actual perception, and the comparison between customers’ expectation and actual perception cause their satisfaction. The relationships amongst transaction-specific satisfaction, overall satisfaction and behavioural intentions can explain customer satisfaction comprehensively as a process of before, during and after their perception.

This paper highlights the importance of innovative service delivery and customers’ evaluation to contribute to creating service innovation. A synthetic definition of service innovation emphasised can help practitioners to define key determinants to effectively influence customer satisfaction and their behavioural intentions. Thus, marketing strategy aligned with operation management, can be practised appropriately.

This study provides key determinants to influencing customer satisfaction of service innovation through innovative service delivery in the hospitality operation, based on key theories and relevant literature.

本论文建立一个理论模型, 以研究创新型服务对顾客满意度和行为意向的影响。随着服务创新逐渐成为产品科技创新的焦点, 本论文针对服务创新提出一个新的角度。

本论文采用审阅服务运营管理、服务创新、和酒店管理的关键理论和概念, 提出理论模型。

本论文提出的理论模型可以进行实际测试, 以检测酒店运营中服务创新相关的顾客满意度和行为意向。研究表明, 影响顾客满意度的因素有七个：创新性硬件因子、创新性人文因子、创新性功能性因子以影响顾客交易方面的满意度、复杂性、有意义性、新意、以及可负担度以决定整体顾客满意度。顾客期待是由社会因子、信息、知识、和其影响实际感官的需求、以及顾客期待和实际感知之间的差别。交易性满意度、整体满意度、和行为意向之间的关系能够全面解释顾客满意度, 其在感知前、中、和后的过程中。

本论文强调了创新性服务流程和顾客评价对服务创新的重要性。本论文综合文献给出服务创新的概念能够帮助从业人员找到有效影响顾客满意度和行为意向的关键因素。因此, 制定出配合运营管理中的营销策略。

本论文根据审视关键理论和相关文献, 提出了酒店运营中营销服务创新的顾客满意度关键因素。

Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications.

Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers’ value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes.

The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship.

The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers’ technological perceptions.

This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app’s attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement).

The role of customers has moved from reactive to proactive, and they require more control over digital touchpoints. The quest for authenticity is their response to the dark side of interactive marketing – forms of faking, manipulation and exploitation. Authenticity becomes a key topic in interactive marketing as it reflects how customers assess digital touchpoints. However, there is a lack of comprehensive knowledge of authenticity in the interactive environment.

This article consolidates the authenticity studies in various digital touchpoints using the entity-referent correspondence framework. This research employs bibliometric analysis and thematic analysis of 103 articles in the last 15 years.

Five research clusters are identified: (1) human, (2) brand-generated content, (3) user-generated content, (4) branded platforms and (5) new technologies-based touchpoints (artificial intelligence, augmented reality and virtual reality). Most interactive marketing studies focus on human and content authenticity, and new technologies-based touchpoints lack comprehensive conceptualization. The review synthesizes the types of authenticity used in each touchpoint and highlights the importance of true-to-creator-self and true-to-customer-self in customer evaluation. We further propose a research framework with four antecedent groups and outcomes.

Our research supports managers by highlighting the type of authenticity prioritized in each touchpoint's development.

To answer the call from interactive marketing researchers, this research highlights the distinct definitions of authenticity at various digital touchpoints rather than looking at the overall brand. Trends, gaps and future research agenda of the authenticity concept in technology adoption and customer behavior are discussed.

Despite ongoing reports of insider-driven leakage of confidential data, both academic scholars and practitioners tend to focus on external threats and favour information technology (IT)-centric solutions to secure and strengthen their information security ecosystem. Unfortunately, they pay little attention to human resource management (HRM) solutions. This paper aims to address this gap and proposes an actionable human resource (HR)-centric and artificial intelligence (AI)-driven framework.

The paper highlights the dangers posed by insider threats and presents key findings from a Leximancer-based analysis of a rapid literature review on the role, nature and contribution of HRM for information security, especially in addressing insider threats. The study also discusses the limitations of these solutions and proposes an HR-in-the-loop model, driven by AI and machine learning to mitigate these limitations.

The paper argues that AI promises to offer many HRM-centric opportunities to fortify the information security architecture if used strategically and intelligently. The HR-in-the-loop model can ensure that the human factors are considered when designing information security solutions. By combining AI and machine learning with human expertise, this model can provide an effective and comprehensive approach to addressing insider threats.

The paper fills the research gap on the critical role of HR in securing and strengthening information security. It makes further contribution in identifying the limitations of HRM solutions in info security and how AI and machine learning can be leveraged to address these limitations to some extent.