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Currently, many firms have established brand fan pages on various social network sites. The purpose of this paper is to extend the conventional trust theory, which involves only perspective of trust.

This study targeted community members who have purchased tourist packages from travel agencies and have joined the official brand fan pages of the agencies for at least one year. A total of 646 valid samples were collected.

Structural equation modeling was employed to conduct path analyses, and the results show that the seven hypothetical paths proposed in this study are supported by the theoretical model, which exhibited desirable goodness-of-fit.

Finally, practical suggestions are offered for community managers.

This study was conducted by integrating the models of consumer-to-consumer and business-to-consumer interactions.

The purpose of this paper is to establish a social-network sp.orts lottery system to support users in predicting and simulating sports lottery betting. The community data were generated to support user decision and featured instant game records and odds data synchronisation. Furthermore, the next development cycle were evaluated through a questionnaire.

An extended prototype website development methodology was applied to develop the system. An online sample was collected to evaluate the function, interface, operation, and prediction designs. The χ2 test and variance analysis were used to determine the association between facets and basic demographics. Finally, the regression model was used to identify the potentially essential predictors that influence the measurement facets.

The high frequency of Facebook users, sports lottery purchases, and sports game viewers prefer the ability to predict the results of future sports games as advanced decision-making functions. However, the agent-based virtual gift presentation function was the least preferred function.

The study sample was limited only to users: who used PTT and Facebook; were of uneven age, education, and gender; and none segment groups. The study sample primarily comprised Taiwanese respondents. These differences might influence the practicality and prediction bias of the designed website and related models.

The proposed method integrates social-network messages with real-time data access by using APIs, crawler schemes, and prediction mechanisms that enable developers to devise strategies for obtaining high system satisfaction. The system can be improved by adding the results of future sports games and excluding authorised Facebook message posts.

A social-network-based sports lottery and prediction prototyping website was evaluated through a user-preference survey regarding design functions. The measurement results indicated that users share their opinions, predictions, and personal betting results and interact with their friends.

The focus of this study is on the knowledge retention process, including knowledge capture, knowledge codification and the internalising of knowledge in organisations – a key aspect of age management. The purpose of this paper is to contribute to an understanding of the difficulties in this process to discuss implications for organizational measures to retain knowledge.

This study is based on field research on a Swedish multinational company from the perspective of senior employees.

The findings indicate that knowledge retention is a complex phenomenon, partly because valued knowledge is tacit and knowing is highly subjective and transferred through learning in collaboration with others in the process of undertaking assignments and acting together in work situations.

Knowledge retention is considered only from the perspective of senior, white-collar employees in this study; it would be of interest to consider other employees’ perspectives as well. A second limitation is that the data were collected at a single site. It could be argued, however, that a single case study research format provides an opportunity to gain deep knowledge and allows for explanations about observed phenomena, thereby contributing towards transferable scientific knowledge.

Knowledge retention is hindered by focusing solely on senior workers and on an explicit and commodified view of knowledge.

Knowledge retention should be an on-going way of working throughout the organization in which tacit knowledge and knowing are important.

This study shows the importance of considering knowledge and knowing retention as a matter of continual interaction between actors. Retention of tacit knowledge and knowing is not merely a matter of capturing and codifying knowledge. This study contributes to an understanding of the internalisation of tacit knowledge and knowing in continual interaction and cannot be preceded by a step-wise process.

Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such interventions on student outcomes.

In this study, the authors employ a systematic literature review and meta-analysis to analyse teacher PDIs for data use.

The results suggest that conceptual, practical and continual goals are identified in data use PDIs. Supported by conceptual, practical or normative tools, facilitators employ a variety of techniques in facilitating teachers’ data use through data teams or professional learning communities. The facilitation techniques include assessing needs, using models or modelling, observing performance, providing feedback, providing built-in time for reflection and brokering. Further, the results highlight the influence of several conditions that contribute to the success of the interventions. Finally, the meta-analysis shows a significant positive effect of the interventions on student outcomes, with an effect size of 0.17.

The authors' proposed framework should be empirically tested and validated through field studies in various contexts. Since the authors focussed on studies reporting data use PDIs for instructional purposes as well as providing the descriptions of the PDIs, the number of included studies was only 27 and represented only four countries. Of the 27, 10 studies were used for the meta-analysis and the results may be subject to publication bias. Seemingly, the result may be related to the authors' inclusion/exclusion criteria that only included peer-reviewed journal articles and excluded non-peer-reviewed studies such as theses or dissertations. This criterion potentially neglected some relevant studies.

Policymakers interested in developing a data use PDI should take into account the various goals of data use PDIs, depending on policymakers' interests. Building teachers’ understanding of data use can be addressed by the practical goals. This can be conducted within a short period of time through training or courses, either in-person or online. This is appropriate for an initiation strategy for data use within schools. However, targeting specific skills and dispositional attributes around data use should adopt practical and continual goals. These types of goals require a PDI with a sustained duration embedded in teachers’ classroom practices; therefore, political and practical support is necessary.

The authors argue that the review findings contribute to knowledge and insights by presenting data use PDIs that support teacher learning, implementation and sustainability of data use practices.

This article provides a proposed framework for studying teacher PDIs for data use and sheds light on several goals, a variety of facilitation strategies and conditions and the effect of the interventions on student outcomes.

Artificial intelligence (AI) has a significant impact on value co-creation (VCC). However, a study providing a comprehensive summary of the current state of the art and common ground of the two fields is missing. The current study aims to fill this gap by conceptualizing the role of AI in VCC and customer decision-making.

The study reviews literature on VCC and AI together, including a total of 108 articles. To bring the literature together, the authors adopted the antecedents-mediators-outcomes framework and narrative approach that helped them develop a framework by integrating the antecedents, mediators and outcomes of AI-facilitated VCC. Furthermore, the authors also operationalized existing literature to facilitate an understanding of the role of AI in customer decision-making.

The study, in addition to identifying the common theoretical grounds of VCC and AI (human behavior, cognition and social interactions), operationalizes AI functionality, its characteristics and customer characteristics as the antecedents of AI-facilitated VCC. Moreover, based on literature, on the continuum of low-to-high involvement, four types of decision-making were identified as mediator of the relationship between AI characteristics, customer characteristics and VCC. Additionally, the authors found different categorizations of AI in literature as archetypes to support various forms of VCC.

The study contributes to the literature of VCC and AI by construing a comprehensive framework for analyzing AI's impact on VCC, envisioning customer–AI interaction as continual exchange of advantages in which characteristics of AI and customers play a critical role in customer decision-making and shaping VCC.

The purpose of this paper is to investigate conceptualizations of Europeanization, the difficulties this creates when assessing the impacts of the European Union (EU) on member states and the influence member states have on the EU policy‐making processes. There are also problems when considering questions regarding the basis of Europeanization in terms of its relationships with globalization, governance, institutionalization, polity, politics and policy.

Different conceptualizations of Europeanization concentrate on distinct methodological positions and whether Europeanization may best be understood as “situation” or “process”. Indeed, difficulties are further exacerbated when identifying the extent that drivers for change at the EU and domestic level involved Europeanization, domestication, globalization and/or European integration. Meso theory identifies “process” and substantive theory “situation” in terms of downloading (En1), up‐loading (En2) and cross‐loading (En3). Each of these conceptualizations allow “situations” where empirical reliability could be made explicit from a particular perspective.

This paper investigates and assesses the Europeanization of UK financial services and provides a conceptualization of Europeanization as both meso (middle range) and substantive theory. By breaking down meso theory into substantive theories (up‐loading, downloading and cross‐loading) the analysis attempts to clarify the interaction between Europeanization, globalization and domestication in relation to impacts on UK financial services regulation. Following an assessment of UK financial services in general, this paper concentrates on the concept of “competent authority” and how the UK Financial Services Authority (FSA) displays attributes outlined in the directives. Through an analysis of the Third Life Assurance Directive, Second Banking Directive and FSA this paper identifies a number of issues relating to how the EU responded to sector demands and how Europeanization is actualized through domestic response.

Europeanization indicates a continual interaction or dialectic between the uniformity of the EU and the diversity of the individual member states. The process involves interaction between global, domestic and European variables with the European dimension in relation to domestic interpretation providing a mechanism whereby dominant economic global factors can be diminished or enabled.

This paper aims to re‐examine the commitment‐trust model in the context of premium banking services. In line with Toncar and Munch, the authors seek to develop an extension to the model because of the need to encapsulate contextual variables that constrain the link between the core relationship marketing constructs of trust and commitment.

A series of qualitative interviews were administered with bank relationship managers and premium banking customers. This enabled the concurrent consideration of both bank and customer views that helped to establish converging lines of thought within the bank‐customer relationship.

The authors’ findings provided evidence of the commitment‐trust link, and in particular continuance‐based commitment, within the context of premium banking relationships. By triangulating their findings with current thinking in relationship marketing literature, the authors present propositions for interaction quality and switching costs to be salient moderators between trust and commitment in this premium segment. A conceptual model that outlines the interplay between these four constructs is offered.

Few have examined the commitment‐trust link in light of moderator variables within retail banking services, and this research is the first to examine this specifically in the premium banking segment where customers are likely to be financially savvier and less knowledge dependent. This research therefore takes the first step in developing an extension to the commitment‐trust model for this segment, and forms the basis for further empirical research to examine the specific impact of interaction quality and switching costs, particularly in relation to continuance‐based commitment.

This study aims to examine the impact of customer brand value dimensions on relationship marketing dimensions through consumer hope in the context of digital payment applications (apps) services. The study considers the role of consumer engagement using a moderated mediation, and applies customer perceived value, affect theory of social exchange and relationship marketing theories.

The study is based on data collected from 301 digital payment app users. Structural equation modeling results were analyzed using Smart PLS. The authors performed moderated mediation, with different levels of customer engagement as a moderating variable, using Model 8 of PROCESS. The authors considered customer perceived value dimensions, digital quality value, perceived value, hedonic value and social value as antecedents to consumer hope and explored the role of trust, commitment and continued usage as a consequence of consumer hope.

Three levels of perceived consumer value, digital quality, price value and social value, positively influenced consumer hope, which has positively influenced trust, commitment and continuance usage. Using moderated mediation analysis, consumer hope influenced continuance usage through trust at different levels of engagement, but consumer hope did not influence continuance usage through commitment at different levels of engagement.

The study highlights the role of consumer hope in linking customer value dimensions with relationship marketing dimensions. The study can guide managers to ensure continued usage of digital payment apps, which is a strategic objective. The results are relevant for the digital setting.

Physical distribution organisations may be defined as organisational units whose duty is to administer economic activities that impact upon the flow of finished goods between points of production and consumption. Physical distribution components occupy a unique role in the organisation. Their mission has been defined as “getting the right assortment of materials to the right location in an efficient manner timely to marketing and manufacturing requirements”. To accomplish this mission there must be continual interaction between suppliers of materials and receivers of materials. Material suppliers can be thought of as the rest of the organisation of which the physical distribution component is a part, primarily the production or manufacturing component. Receivers of materials are the organisation's customers or distribution points. The physical distribution organisation, by virtue of the activities it performs, must deal with both the internal suppliers and the external receivers.