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Deception detection is instrumental in business management but professionals differ widely in terms of deception detection performance. The purpose of this paper is to examine the genetic basis of deception detection performance using the classic twin study design and address the research question: how much variance in individual differences in deception detection performance can be accounted for by the variance in genetics vs environmental influences?

In total, 192 twins, with 65 pairs of monozygotic (identical) twins and 31 pairs of dizygotic (fraternal) twins participated in an experiment. A series of behavioral genetic analyses were performed.

The variability in deception detection performance was largely determined by differences in shared and non-shared environments.

The subjects were solicited during the Twins Days Festival so the sample selection and data collection were limited to the natural settings in the field. In addition, the risks and rewards associated with deception detection performance in the study are pale in comparison with those in practice.

Deception detection performance may be improved through training programs. Corporations should continue funding training programs for deception detection.

This is the first empirical study that examines the complementary influences of genetics and environment on people’s ability to detect deception.

Mobile technologies, such as QR codes, play a particularly important role in scaffolding the child user’s active learning in informal environments. The purpose of this paper is to examine the impact of QR code scanning on two informal learning outcomes: increased interest and greater knowledge understanding.

In total, 91 children and their families participated in the study as part of the iQ Zoo Project. Children in both the smartphone group and the control group completed were assessed qualitatively and quantitatively before and then after their zoo visits.

Qualitative findings suggest that most children’s interest in learning about animals was sustained as a result of the experience. Quantitative results reveal that QR code scanning was effective in promoting knowledge gains, especially on subjects that are challenging for the informal learner. Findings were comparable across the younger (5–8) and older (9–12) age groups.

This study provides empirical support for the value and usefulness of mobile technologies such as QR code scanning for children's learning in informal environments.

This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not.

This study is based on an event study using data from two stock markets in China.

The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along.

This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets.

Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.

The purpose of this study is to investigate the motivational process underlying users’ intention to provide feedback on user-contributed knowledge in professional online communities. User feedback can serve as a means of indicating the credibility of the online content, which can help community members in their knowledge-seeking process. Adopting such a user feedback mechanism is beneficial for users to identify relevant and credible content efficiently and for an online community to sustain itself.

Drawing on self-determination theory, an integrated model is proposed. In this model, behavioural intention is defined as the consequence of motivational orientations whose antecedences include various social factors. The model is empirically tested using survey data collected online and the structural equation modelling techniques.

The results show that users’ intention to provide feedback is primarily influenced by autonomous motivation. Autonomous motivation is in turn affected by social factors, including reciprocity, online reputation, trust in the user involvement mechanisms and affective and normative community commitments.

This study adds value to prior studies by stressing the significance and feasibility of user feedback in helping members of professional online communities with their knowledge-seeking process. It also contributes to the literature on user participation in these communities by showing the efficacy of a motivational process perspective and the role of motivational orientations, in particular, in explaining users’ behavioural intention.

Online shopping has continued to grow in popularity, and the advance of internet technology has enhanced customers’ experiences. One technology online retailers have been using to increase sales is virtual try-on (VTO). The purpose of this paper is to investigate how such technology affects online consumers’ purchase decision process towards purchase intention, especially from an integration of utilitarian, hedonic and risk perspectives, by using advanced partial least square (PLS) approaches.

This study applied a web-based survey approach for data collection from online apparel retailing websites. The survey instrument was developed by adapting previously validated measurement items. The valid data collected were analysed using PLS with multi-group analyses. Advanced PLS techniques such as examination of discriminant validity using heterotrait-monotrait ratio, tests of out-of-sample prediction performance, and measurement invariance of composite models were applied.

The results of examining the proposed model reveal that customers’ attitude towards VTO technology can affect their intention to purchase a garment online, which is affected by perceived usefulness, perceived enjoyment and perceived privacy risk. Perceived ease of use is found to affect perceived usefulness and perceived helpfulness. The results also show no significant differences among age groups and genders in terms of the role of VTO technology in the full decision process towards online purchase intention.

This study enhances the understanding of the roles that VTO technology plays in consumers’ online purchase intention by providing an integrative view of its utilitarian value, hedonic value and risk. This study demonstrates the feasibility of applying advanced PLS techniques to investigate online consumer behaviour, particularly in the field of VTO application in online retailing. Implications for online retailers and designers of VTO technology are also derived from the findings.

This study aims to review the diversified existing literature on digital tourism from 2002 to 2023 using bibliometric analysis to present a holistic review of the current scientific structure of digital tourism and sets the future research agenda.

A detailed search of 646 SSCI articles collected from the Web of Science Core Collection (WOSCC) database was analysed through CiteSpace.

The findings indicate that developed countries are at the core of the co-authorship network, although developing countries represented by China increasingly contribute valued research findings. The conceptual structure of digital tourism mainly evolves from exploration (2002–2006), and acceleration (2007–2014), to diversification (2015-2023), with the most recent focus on consumer-oriented value creation and potential technological risks. Three well-established thematic groups have been identified, namely, technological innovation and application, destination digital management and consumer value creation. Constructive insights for future research are also offered, including digital scenarios, digital production and digital governance.

The research helps scholars and practitioners grasp the current issues and needs of digital tourism and provides a guide for policymakers in the tourism industry who seek to intelligently improve tourism performance.

This study thoroughly evaluates 22 years of digital tourism literature through bibliometric analysis. It creates a framework for understanding how digital tourism is theorised and developed and indicates future research directions.

本篇论文旨在使用文献计量法梳理2002–2023年间的数字旅游研究, 提出整体知识架构和未来研究议程。

本篇论文运用CiteSpace对从Web of Science Core Collection (WOSCC)数据库中检索得到的646篇SSCI文献进行分析。

（1）发达国家处于作者合作网络的核心位置, 而以中国为代表的发展中国家持续产出有影响力的研究成果; （2）数字旅游的概念结构演化经历三个阶段：探索期（2002–2006年）、加速期（2007–2014年）以及多样化（2015–2023年）, 其中新兴研究热点为顾客导向的价值创造和潜在技术风险; （3）数字旅游研究主题分为三个类型, 即技术创新和应用、目的地数字化管理和顾客价值创造; （4）未来研究方向包括数字情境、数字生产和数字监管。

本篇论文有助于学界和业界人士掌握数字旅游产业的现状和需要, 并为政策制定者提供数智化提升旅游业绩效的参考。

本篇论文通过文献计量法系统回顾了22年间的数字旅游文献, 并进一步提出包含数字旅游演化和未来研究前沿的理论框架。

Este estudio tiene como objetivo revisar la diversa literatura existente sobre turismo digital desde 2002 hasta 2023 utilizando un método de análisis bibliométrico para revisar de manera integral la estructura científica actual del turismo digital y desarrollar una agenda de investigación futura.

A partir de una búsqueda detallada de 646 artículos del SSCI recogidos en la colección principal de Web of Science (WOSCC), se analizó la base de datos mediante CiteSpace.

Los resultados muestran que los países desarrollados constituyen el núcleo de la red de coautoría, mientras que los países en desarrollo representados por China también contribuyen cada vez más con valiosos resultados de investigación. La estructura conceptual del turismo digital evoluciona principalmente desde la exploración (2002–2006), y la aceleración (2007–2014), hasta la diversificación (2015–2023), centrándose más recientemente en la creación de valor orientada al consumidor y en los posibles riesgos tecnológicos. Se han identificado tres grupos temáticos bien establecidos, a saber, innovación y aplicación tecnológicas, gestión digital de destinos y creación de valor para el consumidor. También se ofrecen ideas constructivas para futuras investigaciones, como los escenarios digitales, la producción y la gobernanza digitales.

La investigación ayuda a estudiosos y profesionales a comprender los problemas y necesidades actuales del turismo digital y proporciona una guía para los responsables políticos del sector turístico que pretenden mejorar de forma inteligente los resultados del turismo.

Este estudio evalúa exhaustivamente 22 años de literatura sobre turismo digital mediante un análisis bibliométrico. Crea un marco para comprender cómo se teoriza y desarrolla el turismo digital e indica futuras direcciones de investigación.

This paper aims to examine consumers’ adoption of mobile technology to facilitate their banking services and activities, and to investigate the factors influencing their adoption and engagement.

An online survey is used to test proposed relationships between factors and consumers’ mobile banking adoption. Structural equation modeling is performed to analyze consumers’ intentions toward mobile banking.

Traditional technology acceptance model factors – perceived usefulness and perceived ease of use – are identified as effective factors in influencing consumers to adopt mobile technology for facilitating banking services. Moreover, technology safety concerns, including reliability and privacy factors, are found to play an important role in motivating consumers to embrace mobile banking. The “fun” feature of the technology and consumers’ innovativeness characteristics are considered important in influencing mobile banking adoption. Trust in the banks has its predominant role in mobile technology adoption for banking services.

A bank gaining trust from its clients is key to active adoption of mobile banking technology. Bankers are advised to pay more attention to reliability and privacy features when designing and promoting mobile banking technology to consumers. Moreover, advertisements to bank clients should stress the “fun” aspects of the mobile banking apps to attract them to the use of mobile banking technology.

This paper investigates the factors influencing bank consumers to adopting mobile banking apps to facilitate their banking services. Nine key factors in the technology adoption area are examined to provide a comprehensive understanding of bank clients’ use of mobile banking apps, which advances the understanding of mobile technology applied in the banking industry in the literature.

This study aims to identify different approaches to conceptualize value co-creation and analysing firms’ co-creation strategies aided by various advancing technologies. This study further discusses the strengths and weaknesses of these strategies and suggests solutions to overcome the limitations.

Following a critical literature review, the authors propose a conceptual framework to denote the relations between evolving technologies and co-creation activities.

On one hand, technology influences the co-creation processes by empowering consumers, offering greater ability to connect, providing greater access to information and furnishing a platform that facilitates co-creation; on the other hand, technological advancements may add complexity, variability and lead to loss of control for service organizations. A role of customers and value definitions are identified and elaborated in the value co-creation process.

Advanced information and communication technologies transcend the traditionally defined service encounters by enabling co-creating actors to exchange resources through virtual interfaces, thus redefining the strategies of value co-creation. Though many studies have discussed value co-creation in diversified standpoints, a perspective from its relationship with technological progression over time remains nascent. The study contributes to a more comprehensive understanding of technology-enabled value co-creation in service ecosystems.

This purpose of this paper is to evaluate the experiences of public-private partnerships (PPPs) in China's urban rail development, investigates the critical factors impacting on the project viability and derives lessons for future urban rail PPP projects in China and elsewhere.

A case study of the Beijing Metro Line 4 project was adopted as the main research method with semi-structured interviews with senior practitioners and experienced academics as the primary data collection instrument. Qualitative data were collected and subjected to content analysis.

The case study provides six critical factors which are required to facilitate PPP urban rail development: streamlined approval process; robust tendering; strong leadership within the public procuring authority; effective organisational structure and the private sector innovation; commensurate charging approach and government subsidising scheme; and appropriate risk allocation. The research shows that the potential to directly re-apply the Beijing Metro Line 4 model to future urban rail development is limited, but lessons for future urban rail PPPs can still be drawn from the study.

The paper serves as an illustration to public procuring authorities and potential private investors on how to structure and manage urban rail PPPs.

The research presents an original investigation of China’s first urban rail PPP, the Beijing Metro Line 4 project and assesses the applicability of the Beijing model to future PPP projects in urban rail development.