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The present study conceptualizes and examines the interplay of transformational leadership, ambidexterity and wireless information technology (IT) competency for enhancing innovative capability.

Drawing primarily on the knowledge-based and dynamic capabilities view theory, the present study explored supply chains of a large global apparel company and their effect on innovative capability through a mixed methods approach.

The results show that transformational leaders strongly influence the development of ambidexterity and enhance radical innovative capability through wireless IT competency.

The results of this study suggest that supply chain integration through transformational leadership and wireless IT competency can promote simultaneous exploration and exploitation to enhance innovation.

The growth of cloud and/or virtual supply chains facilitated by digital wireless communications and Internet technology is advancing logistics and supply chain innovations. With increasing global competition, digitalized supply chains and ever-growing environmental uncertainty, leadership traits, especially transformational leadership and ambidextrous leaders, can be major contributing factors for successful development of wireless IT competency to support innovative capability.

Wireless IT competency facilitates knowledge integration particularly for combining prior internal knowledge of exploitative innovation with new external knowledge to develop explorative innovation.

The purpose of this paper is to report the findings of a study that examines the influence of leader–member exchange (LMX) on employees' turnover intention and presenteeism with the mediating role of perceived organizational support in the context of the semiconductor industry.

An empirical study based on a sample of 124 department managers and 241 team members in five high-tech companies in Taiwan. Structural equation modelling analysis was used for hypothesis testing.

The results reveal that perceived organization support significantly relates to employees' turnover intention and mediates the relationship between LMX and turnover intention. Additionally, employees' presenteeism is influenced by perceived LMX.

The results of the study are of high importance for high-tech companies, which continuously strive for innovation efficiency and sustainability. Managers and practitioners could benefit from better understanding regarding the importance of perceived organization support and LMX in affecting employee behaviours and company performance.

The present study finds a significant positive relationship between LMX and presenteeism, which is contrary to the previous research.

Because of relatively short product life cycles, radical product innovation has more significant influences on firms' competitive advantages in dynamic environments. Past studies identified various cultural characteristics of a firm, which are key drivers of developing radical product innovation on an ongoing basis. However, few studies have investigated the interaction between organizational culture and external market feedback in developing radical product innovation.

To address the identified research gaps, this empirical research began by presenting conceptual foundations that lead to the hypothesized model and then analyzed survey data from 201 original equipment manufacturer suppliers in search of evidence supporting the hypotheses.

The results suggested that a supplier's entrepreneurial orientation and long-term orientation significantly and positively affected proactive market orientation, with proactive market orientation significantly and positively correlated with radical product innovation. The study confirmed that a proactive market orientation is essential in order for entrepreneurial orientation and long-term orientation to affect radical product innovation. Additionally, this study found that supplier–customer electronic integration has a moderating effect on proactive market orientation and radical product innovation.

Radical product innovation is a topic of great interest for both academia and industry, yet a comprehensive conceptual framework for its antecedents is still lacking. To fill this theoretical gap, the present study extended the studies on radical product innovation and examined the relationship between different strategic orientation types in terms of supplier–customer strategic behaviors to determine how suppliers enhance radical product innovation.

Web‐snippet clustering has recently attracted a lot of attention as a means to provide users with a succinct overview of relevant results compared with traditional search results. This paper seeks to research the building of a web‐snippet clustering system, based on a mixed clustering method.

This paper proposes a mixed clustering method to organise all returned snippets into a hierarchical tree. The method accomplishes two main tasks: one is to construct the cluster labels and the other is to build a hierarchical tree.

Five measures were used to measure the quality of clustering results. Based on the results of the experiments, it was concluded that the performance of the system is better than current commercial and academic systems.

A high performance system is presented, based on the clustering method. A divisive hierarchical clustering algorithm is also developed to organise all returned snippets into a hierarchical tree.

Term suggestion is a very useful information retrieval technique that tries to suggest relevant terms for users' queries, to help advertisers find more appropriate terms relevant to their target market. This paper aims to focus on the problem of using several semantic analysis methods to implement a term suggestion system.

Three semantic analysis techniques are adopted – latent semantic indexing (LSI), probabilistic latent semantic indexing (PLSI), and a keyword relationship graph (KRG) – to implement a term suggestion system.

This paper shows that using multiple semantic analysis techniques can give significant performance improvements.

The suggested terms returned from the system may be out of date, since the system uses a batch processing mode to update the training parameter.

The paper shows that the benefit of the techniques is to overcome the problems of synonymy and polysemy over the information retrieval field, by using a vector space model. Moreover, an intelligent stopping strategy is proposed to save the required number of iterations for probabilistic latent semantic indexing.

This study aims to propose an integrated view and emphasize the importance of bank intangible value binding in customers' robo-advisory adoption. It explores the relationship between robo-advisors and traditional banking and defines the role of bank intangible assets value. It also attempts to understand if trust in the banking institution and the financial consultant determines the effect of these relationships.

The target sample of the study was investors who currently use wealth management services. This study collected 228 valid questionnaires and then executed structural equation model analysis to test the hypotheses.

Results showed that intangible value bindings play a mediating role, which positively affects consumers' willingness to adopt robo-advisors. Consumers' trust in banks and financial consultants are antecedent variables, which positively affect the intangible value bindings between consumers and banks. In addition, when the consumers' investment amount is higher, it will weaken the positive relationship between the intangible value binding and robo-advisor adoption intention.

Most of the past studies have focused on whether robo-advisors would replace personal financial consultants. This study proposes a hybrid model that contains both robo-advisors and traditional banking services, which encourage the acceptance of robo-advisors.

During COVID-19 restrictions, people spent more time in cyberspace and consuming health-related information. An increase was also observed in mediated caring messages or health-relevant information sent to one another. This study aims to explore how the information and interactions around COVID-19 can provide a good learning opportunity for public health, specifically related to eHealth literacy and eHealth promotion.

While mainstream literature has concentrated on experimental designs and a priming effect, this study inspects psychological distance related to a health threat under real-life circumstances. The article adopted a survey approach and utilized PLS-SEM techniques to examine the proposed hypotheses.

Results indicated that whereas closer social support correlates with closer psychological distance and less usage of the social media approach, more substantial COVID-19 impacts were associated with closer psychological distance but greater use of social media. Since both closer psychological distance and social media approach contribute to eHealth literacy, social support from closer and virtual social networks should be embraced but utilized through different routes and for different purposes. The timing of messages but not psychological distance affects people's social media approach, indicating that morning messages should be employed. Moreover, eHealth literacy mediates timing preferences and leads to a preference for eHealth communication earlier in the day. Overall, morning messages create a virtuous circle during a health crisis.

This paper establishes a mechanism of virtuous cycles for eHealth communication during a health threat. Additionally, it bridges existing research gaps by expanding chronopsychology and CLT in the health domain using an empirical approach, a real-life case and an extension of performance regarding information-seeking and utilization.

Riding on the wave of intelligent transportation systems, the vehicular ad hoc network (VANET) is becoming a popular research topic. VANET is designed to build an environment where the vehicles can exchange information about the traffic conditions or vehicle situation to help the vehicles avoid traffic accidents or traffic jams. In order to keep the privacy of vehicles, the vehicles must be anonymous and the routing must be untraceable while still being able to be verified as legal entities. The paper aims to discuss these issues.

The exchanged messages must be authenticated to be genuine and verified that they were sent by a legal vehicle. The vehicles also can mutually trust and communicate confidentially. In VANETs, road-side units (RSUs) are installed to help the vehicles to obtain message authentication or communicate confidentially. However, the coverage of RSUs is limited due to the high cost of wide area installation. Therefore the vehicles must be able to obtain message authentication by themselves – without an RSU.

The authors take the concept of random key pre-distribution used in wireless sensor networks, modify it into a random secret pre-distribution, and integrate it with identity-based cryptography to make anonymous message authentication and private communication easier and safer. The authors construct a two-tier structure. The tier 1, trust authority, assigns n anonymous identities and embeds n secrets into these identities to be the private secret keys for the tier 2, registered vehicles. At any time, the vehicles can randomly choose one of n anonymous identities to obtain message authentication or communicate confidentially with other vehicles.

The processes of building neighbor set, setting pairing value, and message authenticating are proposed in this paper. The proposed method can protect against the attacks of compromising, masquerading, forging, and replying, and can also achieve the security requirements of VANET in message authentication, confidential communication, anonymity, and un-traceability. The performance of the proposed method is superior to the related works.

Although recent models of place branding have proposed culture as a crucial element in establishing a strong place or nation brand, the way in which cultural products influence the brand equity of other products from the same nation has not yet been studied. This study aims to argue that when a nation has strong legal institutions, as perceived by investors and managers, it offers fertile soil for cultivating cultural products that, when exported, can act as “cultural ambassadors,” promoting the country image in the minds of consumers and the value of the country's brands.

Exports of cultural products are provided by UNESCO. Valuable brands are those that brand finance included in its global top 500 most valuable brands list. The rule of law is provided by the World Bank. Panel regression models are used.

Supporting the hypotheses, exports of cultural products show positive effects on the value of brands from that country, and the rule of law shows positive effects on exports of cultural products.

Policymakers could improve the brand value of local firms by promoting exports of cultural products. To do so, policymakers should initiate judicial reforms that strengthen the rule of law to protect contracts and property rights.

This study examines the hitherto underexplored effects that a country's cultural product exports have on the brand value of firms from that country. Most prior research has focused on factors affecting imports of cultural products.

The purpose of this study is to develop resin composite materials composed of polycaprolactone (PCL) acrylates and hydroxyapatite (HA) nanoparticles for ultraviolet digital light projection (DLP) three-dimensional (3D) printing technique.

Two PCL-based triacrylates, namely, glycerol-3 caprolactone-triacrylate (Gly-3CL-TA) and glycerol-6 caprolactone-triacrylate (Gly-6CL-TA) were synthesized from ring-opening polymerization of ε-caprolacton monomer in the presence of glycerol and then acrylation was performed using acryloyl chloride. 3D printing resins made of Gly-3CL-TA or Gly-6CL-TA, 5% HA and 3% of photoinitiator 2,4,6-Trimethylbenzoyl-diphenyl-phosphineoxide were then formulated. The surface topography, surface element composition, flexural strength, flexural modulus, cytotoxicity and degradation of the PCL-based scaffolds were then characterized.

Resin composite composed of Gly-3CL-TA or Gly-6CL-TA and 5% (w/w) of HA can be printed by 405 nm DLP 3D printers. The former has lower viscosity and thus can form a more uniform layer-by-layer structure, while the latter exhibited a higher flexural strength and modulus after being printed. Both composite materials are non-cytotoxic and degradable.

This study provides a direction of the formulation of environment-friendly resin composite for DLP 3D printing. Both resin composites have huge potential in tissue engineering applications.