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Generative conversational artificial intelligence (AI) demonstrates powerful conversational skills for general tasks but requires customization for specific tasks. The quality of a custom generative conversational AI highly depends on users’ guidance, which has not been studied by previous research. This study uses social exchange theory to examine how generative conversational AI’s cognitive and emotional conversational skills affect users’ guidance through different types of user engagement, and how these effects are moderated by users’ relationship norm orientation.

Based on data collected from 589 actual users using a two-wave survey, this study employed partial least squares structural equation modeling to analyze the proposed hypotheses. Additional analyses were performed to test the robustness of our research model and results.

The results reveal that cognitive conversational skills (i.e. tailored and creative responses) positively affected cognitive and emotional engagement. However, understanding emotion influenced cognitive engagement but not emotional engagement, and empathic concern influenced emotional engagement but not cognitive engagement. In addition, cognitive and emotional engagement positively affected users’ guidance. Further, relationship norm orientation moderated some of these effects such that the impact of user engagement on user guidance was stronger for communal-oriented users than for exchange-oriented users.

First, drawing on social exchange theory, this study empirically examined the drivers of users’ guidance in the context of generative conversational AI, which may enrich the user guidance literature. Second, this study revealed the moderating role of relationship norm orientation in influencing the effect of user engagement on users’ guidance. The findings will deepen our understanding of users’ guidance. Third, the findings provide practical guidelines for designing generative conversational AI from a general AI to a custom AI.

Client-led service innovation has gained currency in academic libraries owing to ever-shifting client preferences. Library clients are interested in determining which services libraries should offer to meet their information needs. Several studies have investigated service innovation or improvement in libraries with an emphasis on client involvement. However, it is not clear whether the reward culture influences client-focused service innovation in the context of Uganda.

This multiple-case study triangulated data from a survey of 80 staff members, three semi-structured interviews conducted with three library heads, and data from institutional documents. Data were analysed quantitatively and qualitatively.

The results indicated that the financial reward culture did not influence client-led service innovation in any way; instead, non-financial rewards had an impact. Therefore, library managers need to appreciate that clients are no longer interested in financial rewards, but rather in non-financial rewards that have enduring value.

The study underscores the importance of client-led services in an information environment that has been invaded by industry 4.0 and calls upon librarians to use the opportunity to provide innovative services.

This study aims to excavate the external and internal driving factors of enterprise digital innovation and further condense the function mechanisms and response actions of the innovation process as well as the final innovation outcomes to propose the theoretical framework of enterprise digital innovation with the logic thread of “innovation motivation–innovation process–innovation result”.

Based on the digital background and integrating previous case studies on enterprise digital innovation, this study uses qualitative meta-analysis to explore the motivations of enterprise digital innovation, the function mechanisms and response actions of innovation process as well as the innovation outcomes.

This study finds that digitally transformed enterprises driven by external environmental factors and internal organizational factors follow the logic of adaptive and open innovation, and finally accomplish the digital innovation results of products, services, processes, business models, technology and social responsibility through the response actions of adaptation and interaction mechanisms.

In the digital economy era, digital innovation has become the key strategic choice for enterprise transformation, upgrading and innovation. Why and how enterprises realize digital innovation with the help of emerging digital technology remain to be explored. This study has important theoretical significance and practical value for the digital innovation and transformation of enterprises under the digital background.

The digital platform-based sharing economy has become ubiquitous all over the world. In this paper, we explore how market actors’ conflicting interpretations of digital platforms’ business models give form and shape value co-creation and capture practices in contexts marked by weak institutions and underdeveloped markets.

Integrating insights from the broader literature on digital platforms and the contemporary turn to “meaning-making” in social theory, we adopt a problematization method to unpack the collective contest over the interpretation of value co-creation and capture from ridesharing platforms in contexts marked by weak institutions and underdeveloped markets.

Collective contest over the interpretation of digital business models may give rise to competing meanings that may enable (or impede) digital platform providers’ ability to co-create and capture value. We present an integrative framework that delineates how firms caught up in such collective contests in contexts marked by weak institutions and underdeveloped markets may utilise such conditions as marketing resources to reset their organising logic in ways that reconcile the conflicting perspectives.

The paper presents propositions constituting a contribution to a meaning-making perspective on ridesharing digital platforms by offering insights into how digital business models could potentially be localised and adapted to address and align with the peculiarities of contexts. It goes further to present a theoretical model to extend our understanding of the different sources of contestation of meaning of digital platforms.

The meaning-making perspective on digital platforms extends our understanding of how the collective contest over interpretations of value co-creation and capture may offer a set of contradictory frames that yield possibilities for ridesharing platform providers, and their users, to assimilate the organising logic of digital business models into new categories of understanding.

Social media marketing (SMM) denotes attaining website traffic or attention through social media platforms. The paper aims to focus on examining the viewpoint of library professionals from different universities along with the user respondents from different disciplines and universities on the role of social media tools to market university libraries.

It is a survey-based study that used the questionnaire as its chief data collection instrument designed to be administered to library professionals (n = 100) and users (n = 1,189) from eight universities. The study also adopted the general observation and interview methods to supplement the data. The data was analyzed using SPSS software, and Chi-square test and ANOVA were applied to ascertain the significant variations in viewpoints of the library professionals and the users.

The research study showed that library professionals (from different universities) and users (from different disciplines and universities) felt that social media could be an appropriate marketing tool for libraries in the future. Observations during data collection highlighted a lack of confidence and unwillingness among library professionals to implement any changes in the present time.

The present study provides some significant insights for improving the current situation of the libraries under study in terms of increasing awareness among the students and adopt social media tools for marketing of library facilities and services in future. It is important to note that a few issues that came into light during data collection were a marked lack of willingness and prevalence of less confidence among the library professionals to execute or implement the social media tools to market library resources and services among the users.

SMM programs focus on creating content that attracts attention and encourages readers to use it. This study attempts to fill the gap in of marketing in libraries through social media. The paper offers insights into the use of marketing tools for promoting library resources and services as per the needs of library users. The research work differs from other studies undertaken on library marketing related to social media as it has included both library professionals and users together to obtain a better picture in this regard.

The metaverse, which is now revolutionizing how brands strategize their business needs, necessitates understanding individual opinions. Sentiment analysis deciphers emotions and uncovers a deeper understanding of user opinions and trends within this digital realm. Further, sentiments signify the underlying factor that triggers one’s intent to use technology like the metaverse. Positive sentiments often correlate with positive user experiences, while negative sentiments may signify issues or frustrations. Brands may consider these sentiments and implement them on their metaverse platforms for a seamless user experience.

The current study adopts machine learning sentiment analysis techniques using Support Vector Machine, Doc2Vec, RNN, and CNN to explore the sentiment of individuals toward metaverse in a user-generated context. The topics were discovered using the topic modeling method, and sentiment analysis was performed subsequently.

The results revealed that the users had a positive notion about the experience and orientation of the metaverse while having a negative attitude towards the economy, data, and cyber security. The accuracy of each model has been analyzed, and it has been concluded that CNN provides better accuracy on an average of 89% compared to the other models.

Analyzing sentiment can reveal how the general public perceives the metaverse. Positive sentiment may suggest enthusiasm and readiness for adoption, while negative sentiment might indicate skepticism or concerns. Given the positive user notions about the metaverse’s experience and orientation, developers should continue to focus on creating innovative and immersive virtual environments. At the same time, users' concerns about data, cybersecurity and the economy are critical. The negative attitude toward the metaverse’s economy suggests a need for innovation in economic models within the metaverse. Also, developers and platform operators should prioritize robust data security measures. Implementing strong encryption and two-factor authentication and educating users about cybersecurity best practices can address these concerns and enhance user trust.

In terms of societal dynamics, the metaverse could revolutionize communication and relationships by altering traditional notions of proximity and the presence of its users. Further, virtual economies might emerge, with virtual assets having real-world value, presenting both opportunities and challenges for industries and regulators.

The current study contributes to research as it is the first of its kind to explore the sentiments of individuals toward the metaverse using deep learning techniques and evaluate the accuracy of these models.

The advancement of digital technological breakthroughs in the construction industry is dependent on connecting the attributes of the intended consumers to the technologies. Thus, this study aims to look at the relationship between construction app acceptance and the digital qualities of construction professionals (CPs) to determine whether understanding the connection can assist predict construction app user behaviour.

This study’s theoretical approach was derived from the European Union digital competence model, which supports the hypothesis that the traits associated with digital competence enable digitally competent CPs to embrace construction apps. Six hypotheses were developed to investigate the theories, and multiple linear regression analysis was used to predict the acceptance of construction apps based on the CP’s attributes.

The investigation’s findings revealed that the CP’s attributes can explain at least 50% of the proportion of variance in 34 construction apps. The use of a smartphone (Mean Score = 3.30; Factor Loading = 0.609), technological orientation (Mean Score = 3.55; Factor Loading = 0.663), information technology skills (Mean Score = 3.48; Factor Loading = 0.649), information on construction innovation (Mean Score = 3.73; Factor Loading = 0.528) and interest in R&D (Mean Score = 3.48; Factor Loading = 0.531) are the digital characteristics that can essentially forecast the acceptance of construction apps. The data backs up the notion that CPs would gain digital competency before accepting construction apps. This is because a digitally savvy CP will most likely embrace construction apps.

Frameworks for accelerating digital technologies and innovations in the construction industry have been unveiled in this study. The research also gives recommendations for the evaluation, design and implementation of a more attractive construction app. This study also has implications for investigating the impacts of risk aversion, personal connection, social influence, technological curiosity and digital nativity as predictors of construction app uptake.

The findings of this study serve as an index for prioritising digital traits for CPs and characterising a digitally proficient construction professional. The findings provide recommendations for organising, training and supporting construction personnel’ digital competencies. The research is useful for developing and implementing instructional digital training programmes.

This study is unusual in that it provides clear insights on construction apps as well as variables for building great user-experience apps for CPs, which are both limited in the literature.

This study assessed the technology readiness of library commons in selected universities in Ghana from the perspectives of both clients and service providers.

A sample survey research design was used to carry out the study, and the study consisted of quantitative and qualitative approaches. The data were collected from 157 of the 430 commons’ users and six library directors/commons librarians, using a questionnaire and an interview schedule respectively. The quantitative data were analysed using descriptive statistics and inferential analysis with SPSS Ver. 22, and structural equation modelling with AMOS Ver. 23.

The study found significant relationships between the availability of learning resources and users' experience, use and satisfaction with the commons. Additionally, there were significant relationships between the readiness of the commons, users' perceptions and their satisfaction levels. The library/commons managers identified key preparedness issues, including inadequate planning and poor space allocation. Furthermore, the study revealed negative feelings among library/commons managers, such as insecurity, resistance and low confidence.

The academic libraries in Ghana should evaluate their commons following the findings of this study, and use other readiness implementation tools to identify and address the gaps in their implementation of the commons.

This study was based on the opinions of the users and operators of the commons and focused primarily on technology-related factors. However, it is essential to evaluate other readiness factors, such as change and services, and institutional factors, using frameworks such as Hess and Ostrom’s (2005) Institutional Development Framework, to provide complementary results that can guide better implementation of the commons and improve the quality of services.

In the information and technology age, where the “physical” world is merged with the “digital” world, the nature of social conditions, relations, citizenship and the flow of information has shifted from a moral and legal approach to a digital approach. Nowadays, the functioning, dissemination, conduct and governance of organisations and their members are regulated by techno-ethical and digital principles. Drawing on social cognitive theory, the study hypothesises that techno-ethical orientation predicts corporate ethical values (CEV) through the moderation of digital citizenship behaviour (DC). The study further proposes that each dimension of DC: online respect (OR) and online civic engagement (OCE), moderates the hypothesised relationship.

546 respondents from India participated in the study. The responses were captured using structured and well-established questionnaires. The analysis was performed using robust measures of correlation, regression, reliability (Cronbach’s alpha and composite reliability) and validity (convergent and discriminant validity). The moderation influence of DC was tested and analysed using structural equation modelling (SEM) Analysis of Moment Structures (AMOS).

The regression findings of the study revealed that the techno-ethical orientation positively predicts the CEV. R-square values showed a 24.1% variation in corporate ethical value was explained by techno-ethical orientation. It indicates that a positive techno-ethical orientation establishes the ethical context and corporate values. Besides, the moderation analysis using SEM AMOS indicates that at both low and high levels of OR and OCE, the relationship between techno-ethical orientation and CEV is positive and significant.

This study demonstrates a new facet of technology ethics that promotes the institutionalisation of CEV through DC. This study is the first to explore the interaction between techno-ethical orientation and CEV. Even though various former factors concerning ethical conduct have been examined, the results of the techno-ethical conduct of employees within the scope of an organisation have not been explored so far.

The privacy paradox refers to the situation where users of online services continue to disclose personal information even when they are concerned about their privacy. One recent study of Facebook users published in Internet Research concludes that laziness contributes to the privacy paradox. The purpose of this study is to challenge the laziness explanation. To do so, we adopt a cognitive dispositions perspective and examine how a person’s external locus of control influences the privacy paradox, beyond the trait of laziness.

A mixed method approach is adopted. We first develop a research model which hypothesises the moderating effects of both laziness and external locus of control on privacy issues. We quantitatively test the research model through a two-phase survey of 463 Facebook users using the Hayes PROCESS macro. We then conduct a qualitative study to verify and develop the findings from the quantitative phase.

The privacy paradox holds true. The findings confirm the significant influence of external locus of control on the privacy paradox. While our quantitative findings suggest laziness does not affect the association between privacy concerns and self-disclosure, our qualitative data does provide some support for the laziness explanation.

Our study extends existing research by showing that a person’s external locus of control provides a stronger explanation for the privacy paradox than the laziness perspective. As such, this study further reveals the boundary conditions on which the privacy paradox exists for some users of social networking sites, but not others. Our study also suggests cognitive dissonance coping strategies, which are largely absent in prior investigations, may influence the privacy paradox.