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This study aims to analyze the distribution of novelty among scholarly papers in the field of library and information science (LIS) in China. Specifically, this study explores the distribution of novelty of papers in various journals, research topics and different periods. It is possible to understand the characteristics of LIS research in China and what factors have influenced it.

This paper collects articles published in Chinese library science journals indexed by the Chinese Social Sciences Citation Index from 2000 to 2022. The BERTopic model is used based on abstracts of the papers and to obtain the topic of each paper. Based on the combination innovation theory of reference pairs cited by focal papers, novelty scores of all papers are calculated. Next, this paper analyzes the novelty of papers under different topics. Finally, this paper analyzes the differences in author collaboration patterns across various topics, aiming to explain how these differences relate to the novelty of papers from a collaborative perspective.

This study shows that archival research topics have lower novelty than papers on journal evaluation and patent technology in Chinese LIS. Research papers in this field are gradually becoming more novel over time. Papers on different topics and with varying degrees of novelty exhibit distinct author collaboration patterns, with low-novelty topics more frequently featuring solo authorship, while high-novelty topics tend to involve a higher percentage of inter-institutional collaboration.

This study investigates the novelty characteristics of research papers on different topics in the field of LIS in China. The authors’ contribution includes visualizing research hotspots and trends in the field and analyzing authors’ collaboration patterns at the level of research topics, thereby providing new perspectives on the factors affecting the novelty of these papers.

The purpose of this paper is to determine how knowledge distance, which encompasses cognitive and geographic distance, influences efficiency-centered and novelty-centered business model reconfiguration (BMR), and the moderating role of tie strength.

The authors analyze a sample of 132 Tunisian incumbent firms by multiple hierarchical regressions.

First, the effect of knowledge distance on novelty-centered BMR may differ depending on whether the firm introduces novelty within or outside its organizational boundaries. Specifically, the authors introduce two new types of novelty-centered BMR: intra-novelty and extra-novelty, which respectively take into account whether the reconfigured activities are governed within or outside the focal firm’s boundaries. Second, cognitive distance has an inverted U-shaped effect on efficiency-centered and intra-novelty-centered BMR. Third, tie strength has a moderating role, with varying effects depending on the type of BMR pursued.

This study provides guidance for managers on structuring alliances and collaborations when pursuing BMR. It provides recommendations on partner characteristics, as well as relationship tie strength, that are most beneficial for different types of BMR.

This paper answers the call for research on how knowledge obtained from distant sources can contribute to BMR. Additionally, the paper introduces a previously absent distinction in the BMR literature. The findings suggest that studying the antecedents of BMR should not be limited to the level of design themes but also encompass the level of design elements such as governance.

The composition of author teams is a significant factor affecting the novelty of academic papers. Existing research lacks studies focusing on institutional types and measures of novelty remained at a general level, making it difficult to analyse the types of novelty in papers and to provide a detailed explanation of novelty. This study aims to take the field of natural language processing (NLP) as an example to analyse the relationship between team institutional composition and the fine-grained novelty of academic papers.

Firstly, author teams are categorized into three types: academic institutions, industrial institutions and mixed academic and industrial institutions. Next, the authors extract four types of entities from the full paper: methods, data sets, tools and metric. The novelty of papers is evaluated using entity combination measurement methods. Additionally, pairwise combinations of different types of fine-grained entities are analysed to assess their contributions to novel papers.

The results of the study found that in the field of NLP, for industrial institutions, collaboration with academic institutions has a higher probability of producing novel papers. From the contribution rate of different types of fine-grained knowledge entities, the mixed academic and industrial institutions pay more attention to the novelty of the combination of method indicators, and the industrial institutions pay more attention to the novelty of the combination of method tools.

This paper explores the relationship between the team institutional composition and the novelty of academic papers and reveals the importance of cooperation between industry and academia through fine-grained novelty measurement, which provides key guidance for improving the quality of papers and promoting industry–university–research cooperation.

Novelty detection in the environment is an important mental ability for evolutionary survival. It is also critical for understanding emotional arousal and its effect on memories in tourism. Tourism takes place, by definition, in an unusual environment and therefore intimately involves this concept. This chapter discusses novelty definition, processing, and effects on attention, goals, memories and emotions, and role in tourist experiences. Theoretical and practical implications have been discussed, including the potential utilisation of aspects of novelty in tourism experience design and how its use can improve experiences. Future research should focus on its antecedents and consequences in tourism experiences, as well as the effect of degree of novelty on emotional arousal.

This paper aims to contribute to the understanding of novelty emergence in the context of an “off-line” open innovation system. Several contributions address novelty generation implying open innovation that is typically mediated by IT systems, while fewer address open innovation that takes place off-line, through new forms of collaboration happening in the so-called “physical spaces” and in widespread creativity contexts involving whole cities and territories. This research aims to clarify what the critical elements for novelty generation are, and how and why they interact in producing novelty.

This paper presents the case study of the Blackshape, a high-tech start-up that has become the Italian symbol of a new bottom-up economy that is grounded on high-education, a mix of territorial competencies and young initiative, and produces the development or growth of territories experiencing present or foreseen economic retardation for various reasons. This is a case in which novelty is emergent and takes place through exaptation. The case is used to elaborate an inductive understanding of the process of novelty generation through exaptation and follows a “conceptual composition” format (Berends and Deken, 2019).

This paper shows that initiatives building widespread creativity on the territory play a prominent role for emergent novelty generation, as they provide the context that sustains the efforts to keep on trying of entrepreneurs, welcomes unforeseen interaction and keeps interesting people on the territory that can be involved in random encounters. This paper adds that crucial contributions for the definition of the innovative project come from contributors that are expected to provide suggestions in other areas. Such prominent contributors are engaged in a sense “by mistake”, and here the randomness perceived by the actors experiencing it, because they are perceived to be able to provide some contributions, while they provide others that are more important to the project. This paper argues that such “perceived randomness” sustains a mechanism of selection of novelty generation partners that allows to go beyond the ability of actors themselves to design and foresee other actors’ contribution into the project. Finally, two other elements play a role: how the project is narrated, as well as, how the entrepreneurial team communicates their entrepreneurial competence for the project.

This theoretical understanding builds on only one case study; further research might validate the critical role of our understanding of novelty generation elements and help develop their dynamics further.

Many elements in our understanding of novelty generation have typically been understood as resulting from luck and randomness, leaving, therefore, very little hope to actors’ interest in supporting them. This paper claims that such elements and such dynamics can be sustained and novelty generation can indirectly be supported, for instance, by suggesting a high openness and sharing of one’s own project even to accidentally encountered actors, as one’s own ability to foresee how they might contribute to the project is very poor.

This paper provides a tentative understanding of the elements and dynamics of novelty generation through exaptation building on theoretical elaboration that is inductively triggered and stimulated by empirical evidence.

The present study investigates the customers' behavioural intention to use voice-based artificial intelligence (AI) to find the appropriate hotels and resorts in an emerging nation. This study determines the influences of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to obtain the appropriate information and find the location of the hotels and resorts.

This study used a purposive sampling method for collecting data from the respondents, who are customers of the hotels and resorts in Bangladesh. A self-administered survey questionnaire was used to obtain responses from 378 respondents. After collecting the data, the reliability and validity of the constructs and hypotheses were tested via partial least squares structural equation modelling (PLS-SEM).

The findings of the study indicate that information quality, system quality, privacy and novelty value have a positive and significant impact on attitude and behavioural intention to use voice-based AI assistant services in an emerging nation. However, system quality does not significantly influence behavioural intention to use voice-based AI assistant but it has an indirect significant influence on behavioural intention through the mediation effect of attitude.

The study’s findings provide essential guidelines for practitioners to understand the impacts of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to find the appropriate hotels and resorts to meet customers' needs and expectations.

This study contributes to the existing literature on technology adoption by highlighting the interconnectedness of various factors influencing users' behavioural intentions. The study’s focus on an emerging nation provides a valuable theoretical contribution. It highlights that user perceptions and attitudes towards technology adoption may differ from those in developed nations due to unique contextual factors.

This study aims to explore the influence of perceived value, enjoyment and novelty of fast-food chains’ smart retailing technology (SRT) on Filipino consumers’ attitude and loyalty.

Purposive sampling was used in identifying the respondents (N = 343). The participants were composed of consumers of the leading fast-food chains in the Philippines, where SRT using self-service ordering kiosks is being implemented. The hypotheses were explored using partial least squares path modeling, and predictive-causal was the study’s research design.

The results reveal that, among the factors, perceived enjoyment substantially contributes to the formation of favorable consumers’ attitude toward SRT. Moreover, perceived value was found to have a moderate effect on attitude while perceived novelty showed small impact. In terms of consumers’ attitude and loyalty, the two variables were found to have large positive and significant relationship. The moderation analysis shows that consumers’ attitude toward SRT has medium indirect effect on the relationship between perceived enjoyment and loyalty, while there is small indirect influence on the links between perceived value and loyalty, and between perceived novelty and loyalty.

As more and more fast-food establishments are adopting the use of SRT via self-ordering kiosks, the present study is the only study in the Philippine context that explores how perceived value, enjoyment and novelty affect consumers’ attitude and loyalty.

This study aims to examine the effect of marketing agility of startup companies on their new product creativity and new product performance while examining the moderating role of technological turbulence.

Data were collected from 319 South Korean startups and empirically analyzed using structural equations modeling technique.

First, marketing agility is a potent catalyst that positively influences the novelty and meaningfulness of new products, thereby enhancing new product creativity. Second, marketing agility contributes significantly to new product performance across multiple dimensions, including market, financial, and customer performances. Third, this study underscores the pivotal role of new product creativity, with both novelty and meaningfulness proving to be key drivers of improved new product performance. Technological turbulence is revealed as a moderating force, amplifying the positive relationship between new product novelty and performance. However, while it substantiates some moderating effects, the study does not find significant support for the role of technological turbulence in moderating the relationships among new product meaningfulness, marketing agility, and new product performance.

To the best of our knowledge, this study is the first to analyze the effect of startups’ marketing agility on new product creativity and performance considering the moderating effect of technological turbulence, especially in the South Korean context. This study offers practical insights emphasizing the indispensability of marketing agility for startups operating in rapidly evolving markets. Additionally, it advocates a strategic emphasis on novelty in high-tech turbulence scenarios to bolster new product performance.

This study aims to explore the impact of augmented reality (AR) technologies on consumer information processing and value perceptions in physical stores. Specifically, it investigates how the vividness, novelty and interactivity of AR shape utilitarian and hedonic value perceptions, and influence consumer purchase and continuance behaviour.

The study used the store intercept survey method at 15 retail outlets across four metro cities in India, representing nine prominent retail brands deploying AR technologies. The data collected (n = 650) were subjected to exploratory and confirmatory factor analysis.

Major findings confirm a significant effect of vividness, novelty and interactivity on utilitarian and hedonic value perceptions of in-store AR experiences of customers in physical stores. Hedonic value was found to affect continuance intention but not purchase intention, while utilitarian value was found to affect purchase intention but not continuance.

This study extends the stimulus–organism–response model’s application to AR in physical stores by integrating the impact of vividness, novelty and interaction on both utilitarian and hedonic values and revealing their significance in influencing purchase intentions and continuance.

Major findings advise retailers to increase AR experience adoption in stores and illustrate the process through which purchase and continuance intentions may be influenced.

This is one of the few studies that explore the impact of AR on consumer attitudes and intentions in physical stores. In addition, the study explores the effect of AR tools as a process that passes through value perceptions and then affects the consumer.

Artificial intelligence (AI) used in service has sparked fundamental changes in how enterprises engage their customers. AI specifically designed for customer service is denoted as service-oriented AI. Through the lens of social information processing theory and the pleasure-arousal-dominance (PAD) emotional state model, this study aims to examine the underlying mechanisms for service-oriented AI anthropomorphism to influence customers' propensity for value co-creation.

Our data were collected from hotel customers who had experienced interactions with service-oriented AI. Through purposive sampling, 350 survey responses were collected. We analyzed the survey data using covariance-based structural equation modeling (CB-SEM).

This study has two key findings. Firstly, customers' propensity for value co-creation is favorably facilitated by the anthropomorphism of service-oriented AI. Secondly, the anthropomorphism of service-oriented AI can strengthen customers' perceptions of cuteness and service capacity, elicit a sense of novelty, and enhance customers' propensity to collaborate with service-oriented AI to create value. These findings address the research gaps by focusing on customer engagement through service-oriented AI and provide a theoretical basis for subsequent practical endeavors in the field.

Integrating the PAD emotional state model with the social information processing theory, this study explores the effects of service-oriented AI's anthropomorphism on customers' propensity for value co-creation.