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Airline self-service technology (SST) has attracted attention from both the academic and aviation sectors. As the use of SST can reduce airlines’ operating costs, investigating SST usage at airports is particularly important for the aviation sector. The extant literature has explored users’ SST usage intention, but users’ switching intentions from traditional manual counter services to SST is still limited. Therefore, to address this issue, we used the push–pull–mooring (PPM) theoretical framework to develop a research model to explore user switching intention.

We utilized a mixed-methods approach. A qualitative approach (i.e., semistructured interviews) was first employed to recognize and choose the candidate factors. Then, we collected 450 valid responses through an online survey to test the model. The partial least squares method was used for data analysis.

We found that several push (perceived dissatisfaction and perceived inconvenience), pull (perceived ease of use, perceived usefulness and service process fit), and mooring (personal innovativeness and inertia) factors significantly influence switching intention. Additionally, mooring factors exert contextual effects on the relationships between push and switching intentions and between pull factors and switching intentions.

This study contributes to the literature by further increasing our understanding of user switching intentions regarding SSTs from the PPM perspective and offering guidance for the aviation sector to attract and retain customers.

Software process tailoring (SPT) plays a critical role in contemporary software development. Because SPT determines how a software project proceeds, its effectiveness should be investigated. Specifically, SPT is a collaborative yet highly conflictual process, and the existing literature has paid little or no attention to how team members coordinate and to how power distance (PD) influences coordination under this conflictual situation for the purpose of fostering SPT effectiveness.

A propositional research method is utilized by reviewing the extant literature regarding SPT, team coordination and PD. Accordingly, several propositions are developed to theorize the contributive and moderating effects of team coordinative capabilities and PD on SPT effectiveness.

This study advances the understanding of the underlying mechanisms of the four distinct coordination capabilities in performing SPT, which will help software firms comprehend the moderating effects of PD on the relationships among coordinative capabilities and SPT effectiveness.

This study extends coordination theory and reveals four coordination capabilities that nurture SPT effectiveness. Moreover, this study demonstrates how power plays a role in the coordination of a team through the collaborative yet divergent SPT decision process to yield an integrative tailoring solution. In particular, we take a fresh viewpoint of PD considering the member-member relationship in exploring its moderating effects in the SPT context.

Due to the popularity of mobile devices and the development of artificial intelligence (AI), AI-powered mobile fitness applications (MFAs) have entered people's daily lives. However, the extant literature lacks empirical investigations that explore users' continuance usage intentions regarding AI-powered MFAs. To fill this research gap, this paper employs goal-setting theory to establish a research model for exploring how AI-enabled features (i.e. intelligence and anthropomorphism) affect users' perceptions of goal difficulties and goal specificities, which in turn affect their MFA continuance usage intentions.

This paper uses a survey method to analyze the research model, and a total of 223 responses are collected. The partial least squares (PLS) technique is utilized for data analysis.

The results show that intelligence and anthropomorphism affect the continuance usage intention of MFA users through their goal difficulty and specificity. Both intelligence and anthropomorphism positively influence goal specificity, whereas they negatively affect goal difficulty. In addition, goal specificity increases users' MFA continuance usage intention, whereas goal difficulty decreases users' continuance usage intention. The findings of this study provide theoretical contributions for AI technology adoption research and offer practical strategies for firms to retain MFA users.

Based on goal-setting theory, this study reveals that as two primary AI features of contemporary mobile fitness apps, intelligence and anthropomorphism, can increase comprehension of users' perceptions regarding goal difficulty and specificity in the context of users' continuance usage intentions toward AI-powered MFAs.

Software process improvement (SPI) is a knowledge activity that is critical to the excellence of information system development. This study observes two knowledge gaps in the quest for SPI success and proposes a research model that integrates existing knowledge antecedents to address these gaps. Based on organizational learning theory and the dynamic capability view, the proposed model consolidates a firm's absorptive capacity (AC), learning ability in terms of exploration and exploitation and knowledge sharing (KS), and it examines the contextual relationships among these knowledge antecedents on the path to SPI success.

A quantitative research design is implemented to examine the model with a sample of 138 SPI-certified organizations in Taiwan and Mainland China. The partial least squares (PLS) technique is used for the data analysis.

The results reveal the following findings. First, AC triggers the effect of exploration/exploitation on SPI success. Second, KS fosters exploitation but has an insignificant influence on exploration. Third, KS can promote AC, and it serves as the sourcing mechanism for all of the knowledge antecedents. Overall, an integrative set of knowledge learning routes is presented in guiding software firms on the way to SPI success.

In addition to identification of the two knowledge gaps, this study advances the authors’ understanding by comprehending the causal associations of the four knowledge antecedents on the way to SPI success.

Software process tailoring (SPT) is a knowledge- and learning-intensive activity in which a software project team customizes its software development processes to accommodate project particularities. Because SPT critically influences how a project is conducted, SPT performance should be investigated, but the extant literature lacks investigations into how team knowledge mechanisms and team environments contribute to SPT performance. To fill this gap, this study looks into a team's absorptive capacity (AC) and combines a transactive memory system (TMS) and team climate inventory (TCI) to develop a theoretical research model to facilitate the understanding of SPT performance.

This paper is a conceptual study that uses the propositional methodology with a focused review of existing literature pertaining to SPT, AC, TMS and TCI to develop a theoretical model to foster SPT performance. Because this study is conceptually established, further empirical research and studies are also suggested.

The proposed model provides guidance for firms conducting SPT. It also contributes to future research aiming to empirically understand the mechanisms behind the identified team-based knowledge and environmental enablers in the dynamic team learning process that lead to superior SPT performance.

The proposed model provides a fresh look at the dynamic capabilities theory in SPT and innovatively identifies a team's dynamic learning process to show how a team can conduct effective SPT through AC and facilitated by TMS. Environmental climates characterized by vision, participative safety, task orientation and support for innovation act as positive moderators in promoting the team dynamic learning process.

Agile software development (ASD) has emerged as an active research area due to its enormous growth in popularity. The innovative differences between ASD and traditional development include the use of fundamentally different procedures, organizational structures and people, yet organizations still attempt to embrace ASD. Apparently, the underlying factors arousing organizations’ intent to adopt ASD are not well known and have not been well explained in the extant literature. The purpose of this paper is to fill this gap for which the authors propose a conceptual framework based on the business process management (BPM) perspective to identify the environmental stimuli that affect an organization’s ASD adoption.

Proposition for a methodology approach is used to construct a theoretical framework based on existing literature and theories in BPM.

The framework recognizes external and internal environmental stimuli, including institutional isomorphic forces and interior enablers, such as top management championship, the culture type and resource readiness, which affect organizational ASD adoption decisions.

This paper consolidates both the internal and external environmental aspects of the stimuli that lead to ASD adoption and offers insight into creating a suitable context for ASD adoption.

To improve the frequency of adoption of mobile health services (MHSs) by users (consumers), it is critical to understand users' MHS adoption behaviors. However, the literature primarily focuses on MHS adoption-related factors and lacks consideration of the joint impacts of reasons for (RF) and reasons against (RA) on users' attitudes and adoption behaviors regarding MHSs. To fill this gap, this study integrates behavioral reasoning theory (BRT) and protective motivation theory (PMT) to develop a research model by uncovering the reasoning process of personal values, RF and RA, adoption attitudes and behavior toward MHSs. In particular, health consciousness (HC) is selected as the value. Comparative advantage, compatibility and perceived threat severity are considered the RF subconstructs; value barriers, risk barriers and tradition and norm barriers are deemed the RA subconstructs.

A total of 281 responses were collected to examine the model with the partial least squares structural equation modeling (PLS-SEM) method.

The results show that HC positively affects attitude through RA and RF. Additionally, RF partially mediates the relationship between HC and adoption behavior. This study contributes to a deeper understanding of user adoption behavior in MHS and provides practical guidance for the health services industry.

This study contributes to the existing MHS literature by understanding the joint influences of personal values, RF and RA on user attitude, which eventually determines users' adoption decisions regarding MHSs.

Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

Artificial intelligence (AI) has been widely used as a financial technology (fintech) in the mobile banking (M-banking) domain. However, in the literature, how AI affects users' perceptions of social support and the users' satisfaction and continuance intention (CI) remains unknown. To fill this gap, the two core characteristics of AI, perceived intelligence (PI) and perceived anthropomorphism (PA), are combined with social support theory (SST) (including informational support (IS) and emotional support (ES)) to develop a research model to investigate how PI and PA affect IS and ES, which in turn affect users’ M-banking satisfaction and CI.

This study adopted a random probability sampling method to collect a total of 360 valid responses to verify the proposed model. Partial least squares (PLS) was employed for data analysis.

The results showed that PI and PA both have a significant positive impact on consumers' perception of social support (IS and ES). IS was a direct driver of satisfaction and CI. Surprisingly, although ES was positively associated with satisfaction, the study found that higher levels of ES will decrease CI. This study exposed how AI affects consumers’ satisfaction and CI through SST, and the role of AI in M-banking applications has been further confirmed.

This study expanded the SST to creatively integrate with AI features to reveal the impact of PI and PA on IS and ES, which in turn influence users' M-banking usage.

Compared to traditional (domestic) e-commerce consumers, cross-border electronic commerce (CBEC) consumers may face greater information asymmetry in the CBEC purchase process. Given this background, however, the literature has paid limited attention to the informational antecedents that influence consumers' perceptions of transaction costs and their CBEC purchase intentions. To fill this gap, this study integrates the elaboration likelihood model (ELM) and transaction cost theory (TCT) to develop a model for exploring how product (website informativeness, product diagnosticity and website interactivity as the central route) and external (country brand, website policy and vendor reputation as the peripheral route) informational antecedents affect consumers’ evaluations of transaction costs in terms of uncertainty and asset specificity and their CBEC purchase intentions.

This study employs a survey approach to validate the model with 766 Generation Z CBEC consumers based on judgment sampling. The partial least squares (PLS) technique is adopted for data analysis.

The results show that all the proposed central and peripheral informational antecedents reduce consumers’ perceptions of uncertainty and asset specificity, which in turn negatively influences their CBEC purchase intentions.

Through this investigation, this study increases our understanding of how product and external informational antecedents affect consumers’ evaluations of transaction costs, which subsequently determine their CBEC purchase decisions. This study offers theoretical contributions to existing CBEC research and has practical implications for CBEC organizations and managers.