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This paper aims to propose several characteristics of check-in services and investigates whether these characteristics influence customer perceived utilitarian and hedonic values. These perceived values mediate the influences of check-in services on customers' responses.

From the perspective of mobile check-in service, the authors proposed a framework with several hypotheses and verified the model with structural equation modeling based on questionnaire data collected from mobile device users.

The results indicate that self-disclosure, expressive support and self-congruity positively relate to utilitarian value; instrumental support positively relates to hedonic value and both hedonic and utilitarian values positively relate to continuance intention and re-patronage intention. However, sales promotion has no significant influence on both hedonic and utilitarian check-in values.

This study applies the concept of location-based social networks to provide new insights into the evolving user-generated content research in the interactive marketing field.

Value, also known as co-creation, is recognized as the outcome of collaborative efforts between both parties. However, knowledge is currently limited regarding the motivations and mechanisms driving customers to engage in co-production and value co-creation. Therefore, the current study aims to investigate co-production in enhancing value co-creation. Previous research has predominantly explored the linear effects of commitment and asset specificity on co-production. To expand on this foundation, our study goes a step further by including the potential quadratic effects of commitment and asset specificity on co-production. Although moderate levels of commitment and asset specificity may enhance co-production, higher levels are implied to possibly impede it. Considering that co-production requires collaboration between customers and service employees, this study includes the characteristics of service employees, such as self-monitoring and self-efficacy, identifying their moderating roles in aiding active co-production and ultimately enhancing the value co-creation.

We employed linear, nonlinear and hierarchical moderated regression analysis to test our hypotheses.

Our findings provide evidence for the positive linear effects and negative quadratic effects between commitment, asset specificity and co-production. The inverted-U relationships suggest an existing optimal commitment and asset specificity that maximize co-production. Results also suggest that co-production influences value co-creation and self-efficacy and self-monitoring positively moderates the relationship between co-production and value co-creation.

By applying the core provisions of S-D logic, this study contributes to marketing literature by analyzing the dyadic process of co-production. Dyadic data collection from both customers and service employees provides a comprehensive understanding of the co-production process, allowing academics to recognize service employees’ self-efficacy and self-monitoring that contribute to effective co-production and value co-creation in service processes.

This study presents an integrated research model to test the relationships between trust in retailers, trust in mobile payment, loyalty to retailers and loyalty to mobile payment as well as the antecedents of trust in retailers and trust in mobile payment. Thus, this study investigates how customer journey design, relationship investment, structure assurance and perceived ubiquity build trust in retailers and trust in mobile payment and how trust affects loyalty to each aspect. At the same time, this study analyzes the reinforcement of trust and loyalty transfer between a retailer and its mobile payment system.

From the perspective of mobile payment in omnichannel retailing, the authors proposed a framework with several hypotheses and verified the model with structural equation modeling that involves LISREL and SPSS process and based on questionnaire data collected from mobile payment users.

This study confirms the positive influences of customer journey design and relationship investment on trust in retailers and the positive impacts of structure assurance and perceived ubiquity on trust in mobile payment. Meanwhile, the findings validate the effects of trust in retailers and mobile payment on loyalty to both retailers and mobile payment and how trust in retailers transfers to trust in mobile payment and loyalty to retailers transfers to loyalty to mobile payment.

This study contributes to the marketing literature by filling the research gap and offering a complete model that explicates customers' trust and loyalty in omnichannel context. The findings help businesses better understand the omnichannel retailing landscape and thereby develop effective marketing strategies in order to gain customers' trust in both retailer and mobile payment and retain more loyal customers.

The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. Nevertheless, there are also challenges that the stakeholders should observe when they are considering the potential of GAI. Given this backdrop, this study presents the viewpoints gathered from various subject experts on six identified areas.

Through an expert-based approach, this paper gathers the viewpoints of various subject experts on the identified areas of tourism and hospitality, marketing, retailing, service operations, manufacturing and healthcare.

The subject experts first share an overview of the use of GAI, followed by the relevant opportunities and challenges in implementing GAI in each identified area. Afterwards, based on the opportunities and challenges, the subject experts propose several research agendas for the stakeholders to consider.

This paper serves as a frontier in exploring the opportunities and challenges implicated by the GAI in six identified areas that this emerging technology would considerably influence. It is believed that the viewpoints offered by the subject experts would enlighten the stakeholders in the identified areas.

The purpose of this study is to determine how and when choice variety influences consumers’ willingness to purchase, according to a personal emotion perspective. The choice paradox indicates that although having many choices can be beneficial, it can also cause customer decision paralysis and unhappiness. This article proposes that the desire and motivation to process information vary from person to person, and emotional factors are relevant.

With a 2 × 2 experimental design, this study examines the influence of the interaction of choice variety with need for cognition (NFC) on positive and negative emotions, and then tests the mediating effects on purchase intentions. The sample includes 214 college students, assigned randomly to self-assessment questionnaires.

Both high NFC respondents in the high variety condition and low NFC respondents in the low variety condition exhibit more positive emotions than low NFC respondents in the high variety condition but not more than high NFC respondents in the low variety condition. Positive (negative) emotions increase (decrease) consumers’ purchase intentions.

The experiment was conducted in a virtual store, which may not match real-life store environments or reflect participants’ actual purchase behaviours, so additional research should consider the influence of involvement further.

The results offer suggestions for developing more effective communication with emotions, increasing involvement to maintain consumers’ positive emotions and relieve their confusion, and managing product variety.

This article meets the identified need to study how choice variety influences consumers’ willingness to purchase from a personal emotion perspective.

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.